Lampyrid: The Journal of Bioluminescent Beetle Research
WELCOME to the Lampyrid Journal THE LAMPYRID JOURNAL serves as an international forum for papers discussing research on the evolution, taxonomy, ecology, physiology, behaviour, molecular biology and the phylogeography of luminescent beetles. The Journal also publishes papers describing novel methods, tools and experimental approaches for use in bioluminescent beetle research. Aims & Scope Lampyrid is a new international publication, containing critical reviews, original papers, and research articles on all aspects of bioluminescent beetle research. Book reviews are also included. The Lampyrid journal serves as an international forum for papers discussing research on the evolution, taxonomy, ecology, physiology, behaviour, molecular biology and phylogeography of bioluminescent beetles. The Journal will also publish papers describing novel methods, tools and experimental approaches for use in bioluminescent beetle research. Manuscripts generally should not exceed 30 pages (exceptions are possible, particularly in case of reviews and taxonomic monographs, but should be negotiated in advance with the editor). Papers are considered by referees before acceptance. Authors will receive first editorial decision within 8 weeks from confirmed submission. All contributions are published in English. Authors whose mother tongue is not English are strongly urged to have their manuscripts reviewed linguistically before submission. It is understood that manuscripts submitted to Lampyrid have not been offered to any other journal for prior or simultaneous publication. The journal accepts research articles, reviews, short communications and book reviews. If submitting a review contact the editor via Email with a synopsis (approximately 200-500 words) of the reviews content to ensure it is suitable for the journal and is not already under consideration from another author. Ethics & Policies Our journal is committed to upholding the highest ethical standards in publishing and expects all authors, reviewers, and editors to adhere to these principles. Plagiarism: Lampyrid Journal takes a strong stance against plagiarism in all its forms. All submitted manuscripts will be checked for plagiarism using plagiarism detection software. If plagiarism is detected, the manuscript will be rejected and appropriate action will be taken. Conflicts of Interest: Authors, reviewers, and editors are expected to declare any conflicts of interest that may influence their work in relation to the manuscript being submitted or reviewed. This includes financial or personal relationships that may bias their judgment. Authorship: All authors listed on a manuscript must have made significant contributions to the research and writing of the manuscript. All authors must also agree to the final version of the manuscript and the order of authorship. The corresponding author is responsible for ensuring that all co-authors have reviewed and approved the final version of the manuscript. Data and Materials Availability: Authors are expected to provide access to all data and materials used in their research, including any software or algorithms used in the analysis. Data and materials should be made available to readers upon publication of the article. Animal and Human Subjects: Authors conducting research on animal or human subjects are expected to follow ethical guidelines for their respective fields. This includes obtaining informed consent from human subjects, ensuring animal welfare, and obtaining approval from appropriate ethical review committees. Copyright and Licensing: Authors retain copyright of their work and may choose to publish their work under a Creative Commons license. By submitting their manuscript to Lampyrid Journal, authors grant the journal the right to publish and distribute their work. Publication Ethics: Lampyrid Journal is committed to ensuring the highest standards of publication ethics. Any concerns regarding publication ethics should be directed to the editor-in-chief. We take our ethical responsibilities seriously and expect all authors, reviewers, and editors to do the same. By adhering to these principles, we can ensure that Lampyrid Journal remains a reputable and respected source of original research in biology.
Financial Soundness in Post-Merger of Private Sector Bank with Reference to ICICI and HDFC Bank
This study aimed to examine the financial soundness and post-merger performance of two selected private sector banks, ICICI Bank and HDFC Bank. The study found that both banks have their strengths and weaknesses in terms of financial performance and management capability. The study observed that ICICI Bank has better liquidity compared to HDFC Bank, while HDFC Bank has enough capital to absorb losses. The credit-deposit ratio of both banks has fluctuated over the years, with both banks facing potential financial risk due to granting more credit to customers than receiving deposits. ICICI Bank's management capability is good, with consistent profit per employee and growing ROA and ROE. However, HDFC Bank needs to improve its efficiency in generating revenue and profits from its operations and assets, as reflected in its declining business per employee and ROA ratios. The study suggests that both banks should focus on improving their financial performance and management capabilities to remain competitive in the market. This could include improving efficiency in generating revenue, managing credit-deposit ratios, and increasing ROA and ROE. Additionally, both banks should work to maintain liquidity and reduce financial risk.
Financial Performance of Family Run- Businesses with Special Reference to NSE India
This study investigates the relationship between dividend policy and the financial performance of family-owned businesses listed in NSE India. The study considered the time series data from 2015 to 2022. The study applied the bivariate correlation and linear regression method for the examination of framed objectives. The study results show that there is a strong positive correlation between dividend decisions made by family members and return on assets, suggesting that increasing dividend payouts can lead to higher return on assets. The study highlights the importance of balancing enterprise value and financial performance in family-run businesses to ensure sustainable growth and expansion while maintaining financial stability. The findings contribute to the existing literature with the impact of dividend policy on financial performance, particularly in family-owned businesses.
Demographical and Contextual Correlates of Internet Addiction for Non-Clinical Adolescents
Internet is a significant revolution of this modern century and becomes an essential part of our daily routine. However, excessive use of internet now becomes an addiction which is called “Internet Addiction”, and in young generation this addiction gives rise to wellbeing deterioration. In the context of aforesaid, this retrospective research made its’ effort to ascertain the demographical and contextual factors associated with internet addiction among school going adolescents. The demographical characteristics includes gender, family type, inhabitance and socio-economic status, whereas the contextual factor covers internet related aspects namely purpose to use internet, device used for internet, preferred time to use internet. The sample was comprised of 182 non-clinical adolescents with internet addict falling within the age range of 15 to 17 years from various schools situated in Rajasthan state through purposive sampling technique. This study adopted correlational research design. All demographical and contextual aspects were obtained by using Internet Information Index (III), which was developed for obtaining information. To ascertain the prevalence of internet addiction, Young’s Internet Addiction Test developed by Kimberly S. Young in 1998 was used. Obtained data was analysed using chi squire analysis. Results divulged insignificant association of IA level (High & Low) with demographical factors (Except family type for gender, inhabitance and socio-economic status), whereas, with contextual aspects (except time, with purpose and device) it is found to be significant for school going adolescents. In a nutshell, the present study is significant in terms of addressing contextual factors rather than demographical factors are more prominent to determine level of internet addiction for India adolescents, hence recommended to focus on these factors in preventive measures of internet addiction.
Anita Manglani, Shreyas Babel, Shubham Singhal, Nivrutti D. Mangore, Rajendra B. Shinte
Copyright (c) 2023 Lampyrid: The Journal of Bioluminescent Beetle Research
Review of Artificial Intelligence & Data Analytics Applications in Healthcare for Efficient Human Resource Management
As a department, Human Resource Management handles all the features of employees and has various functions like Planning, Organizing, Directing and Controlling. The other practices that have been follows by Human Resource Department are HR planning, directing job analysis, recruitment and conducting interviews, training, rewarding, assistance and motivation, quality of work life, HR Auditing, maintain compliances with native, state, and central labour laws, and many more. With the technological development and advancement HR has also changed its functioning and to cater the diverse organisational needs in the era of globalisation. Human resource Management is now totally based on advanced technologies like Artificial Intelligence, Big data & HR analytics. With recent developments in global health care sector the industry is undergoing with a fundamental transformation where both business volume & business value needs to be managed efficiently, these new challenges also threaten the human resources (HR) accountable for health care planning and delivery. The paper makes the attempt that current HR technology practises are unlikely to bring about transformational change in the rapidly evolving healthcare sector until HR professionals begin considering both the benefits and drawbacks of these emerging technologies and engage operationally and strategically to develop better methods and approaches.
A Study on Investment Pattern of People in Guwahati City, Assam
Investment refers to the employment of funds with the expectation of earning income or growth in values. The essential feature of an investment involves waiting for a reward. Thus, investment involves commitment of resources which have been saved in the expectation that some benefits will accrue in future. Investment patterns refer to the way people allocate their money among different asset classes or securities. Investment patterns of people widely depending on various factors such as their income level, age, risk tolerance, financial goals, and investment knowledge. The present study was aim at to anlayse different factors influencing investment pattern as well as to identify the preferred investment instruments of people. The study was conducted in Guwahati city, Assam. The sample size of the study was 200 people who were included in the sample by convenience sampling. It has been found in the study that investment pattern depends upon the factors such as return from investment, risk involve in investment, period of investment, liquidity and tax benefit. It has been also found that the highly preferred investment instrument is fixed deposits, followed by life insurance policies, provident fund, real estate respectively.
A Study on Customer Perception Towards Electric Vehicles in Kamrup Metro
Electric vehicles (EVs) are a new type of automobile that is powered by electricity instead of gasoline, diesel, or other traditional fuels. The technology behind electric cars has been around for decades, but recent advances in battery technology and charging infrastructure have made them more practical for everyday use.Consumer perception plays a significant role in the adoption of new technologies, including electric vehicles. This study aims to investigate the consumer perception towards electric vehicles in Kamrup Metro, Assam. The global market for electric vehicles is rapidly growing due to increasing environmental concerns and government initiatives promoting the use of clean energy. As perceived by consumers, electric vehicles have numerous advantages such as environmental friendliness, lower fuel and maintenance costs, and improved driving experience.
Code Clone Detection: An Empirical Study of Techniques for Software Engineering Practice
— Software cloning has been a prevalent practice in software development for several decades, wherein code fragments are duplicated and reused throughout the codebase. While cloning can help boost productivity and code maintainability, it also has the potential to introduce new problems like bugs, inconsistencies, and code smells. The detection of code clones, which entails the identification of code segments that are structurally similar or identical, is one of the key issues in dealing with software cloning. Various types of code clones include Type 1 clones (identical code fragments), Type 2 clones (structurally similar code fragments), Type 3 clones (code fragments with semantic similarity), and Type 4 clones. Textual analysis, token-based analysis, and tree-based analysis are only a few of the methods explored to identify code clones. Another method that has shown promise in clone identification is probabilistic software modeling, in which code is modeled as a probabilistic network and clones are found by analysis of the graph structure. Herein, we survey the state-of-the-art in software cloning and code clone detection methods. The paper also covered the numerous kinds of code clones along with their benefits and drawbacks. We next explore and evaluate many methods for identifying code clones, including probabilistic software modeling. Finally, we investigate the ways in which probabilistic software modeling may be used for various software engineering purposes, such as predictive and generative.
A Review of Processing Novelties of Extraction of Essential Oil from Cardamom
This review article summarizes the recent developments and processing novelties in the extraction of essential oil from cardamom. Cardamom is a highly valued spice due to its unique aroma and flavor, providing a range of culinary and medicinal benefits. Different methods are employed for extracting the essential oil from cardamom fruit, such as steam distillation, solvent extraction, and supercritical fluid extraction. This review article focuses on recently developed techniques in the extraction process, including Pressurized Liquid Extraction, Ultrasound-Assisted Extraction, Microwave-Assisted Extraction, and High-Pressure Assisted Extraction. Which improves the efficiency and yield of the extraction. Additionally, the article discusses the factors that influence the quality of the extracted oil, including temperature, pressure, and time, and how these can be optimized to enhance the oil's sensory, physical, and chemical properties. The use of cardamom essential oil in food processing, pharmaceuticals, and aromatherapy, and its increasing demand in the market are also discussed. Overall, the review provides insights into the advancements in cardamom essential oil extraction, which can benefit industries and researchers involved in producing and formulating natural products.
Abishek Sakkaravarthy, Prabaharan Vekataralu Bhavadharani, Poojitha Pushparaj, Gurumoorthi Parameswaran
Study the Impact of Adopting Biometric Technology Authentication Systems in Organizations
Identification and access is a impression that has developed over time as the requisite to constantly detect individuals and grant access to confidential and sensitive data has become so important. Its impact can be felt in most organizations, specially multinational corporations engaged in top-secret research related to security-related pharmaceuticals, technology, power, and human biology. Recent vulnerabilities have highlighted the significance of extending validation protocols in sensitive areas of the economy for instance financial services and banking. Furthermore, new regulatory necessities for secondary authentication mechanisms emphasize the usage of biometric technology as an optional but reliable means of authentication. The focus of this research is to examine the impact of introducing biometric authentication systems within an organization. This study uses a secondary (exploratory) research methodology, a purely research study examining the implications and implications associated with the adoption of biometric systems within organizations. Managers of these institutions say their intentions to introduce competitive factors are determined by the organizations financial resources and perceived advantages related to technology. This study expands our understanding of the recruitment literature by showing how structural factors influence organizational actor decisions and by applying recruitment theory to a new technology, biometrics. The integration of these biometrics has increased their impact and impact on organizations.
Monika Nagar, Akansha Verma, Suman Yadav, Anshika Prakash
Investigating the Role of Sensory Marketing for Studying the Consumer Response
This paper is about sensory marketing, which aims to be a marketing tool that can change how people act and how they feel. The consumer is not only interested in purchasing a good or service; rather, he wants to have an experience that is personal and distinctive in connection with the things that he purchases. Our survey study, which is in line with studies that have come before it, reveals how customers evaluated the ambiance of fashion retail stores through the cognitive and emotional responses they had. The combination of the four senses creates a synergy, which is the customer's internal cognitive and/or emotional response to the environment's stimuli. Sound, sight, touch, and smell are the four senses that come from them. Based on the results of our survey, this study shows how important it is to realize that the environment of the point of sale affects the customer's cognitive and emotional responses through the experience of sensory marketing. These responses include the customer feeling more pleasure and perceiving a higher quality in the product.
Riya Manchanda, Sanjiv Mittal, Sanchita Bansal
To Study the Effectiveness of Heartfulness Relaxation Technique on Occupational Stress among Government Primary School Teachers
Under the umbrella of the National Education Policy, a wide range of programmes are being run by the government for achieving the goal of education for all. For this purpose, government schools are expanding daily to achieve the goal but the availability of teachers is comparably very low in comparison to the number of students; as a result, working teachers in government schools experience stress and depression while at work. The search for an appropriate and effective stress management technique has become a hectic issue. This study recommends meditation, which has been widely used by earlier researchers to assess its effectiveness in reducing workplace stress. Since ancient times, meditation has been widely practiced to control or minimize stress at workplace. In this study, the basic and main aim is to determine the impact of Heartfulness Relaxation Technique, a branch of Raja Yoga, on the ability of teachers to manage or reduce their stress. For the study, 200 teachers between the ages of 22 and 60 were chosen, and they participated in relaxation (meditation) sessions every week for a month. Only instructions on how to use Heartfulness Relaxation Technique are given during the relaxation session. The effects of practicing the Heartfulness Relaxation Technique for a month on teachers' stress levels are positive and are lower than they were before.
Fabrication and Characterization of Niobium Alloys Treated by Vacuum Arc Remelting Technique: Hybrid Approach for Orthopedic Applications
This research showed the wear and mechanical behaviour of two new Ti-Nb-based alloys for biomedical implants. Vacuum arc remelting is used to create two types of Ti-Nb alloys with different elemental percentages of niobium: Ti-35Nb-7Zr-5Ta-0.35O and Ti-24Nb-4Zr-8Sn. The alloys were treated with heat at 2000oC for 6 hours in an argon atmosphere. Field emission scanning electron microscopy was used to determine the microstructure and confirm the phase. Vickers microhardness testing was used to determine the alloys' hardness. A pin-on-disc wear testing equipment is used to conduct in-vitro tests to determine the samples' resistance to wear. Comparisons with Ti-24Nb-4Zr-8Sn showed that the alloys' coefficient of friction was improved by order of magnitude.
B. Vinod, K. Sai Sujith, A. Suresh, P. Venkataramana
Selection of New Genotypes of Winter Chickpeas with High Productivity, High Photosynthetic Productivity, Resistance to Fusariosis Disease and Adaptation to Mechanism
More than 12 million tons of chickpea were grown in the world in the last year's season, and India, Australia, Myanmar, Pakistan, Turkey, Ethiopia, Russia, and Iran are the countries that produce the most chickpeas. Currently, the possibility of meeting the demand for chickpea grain from the crop grown in our republic is very low. Therefore, grains of the main leguminous crops are exported from abroad. In turn, the year-by-year increase in population increases the demand for chickpea grain. It is no secret that the main part of the cultivated crop is collected by manual labor. Solving this problem requires the creation and introduction of varieties adapted to mechanization. In the study, 20 winter chickpea genotypes were evaluated and selected under irrigated field conditions. Winter chickpea genotypes were determined by parameters such as growth period, plant height, location of lower pods relative to the soil surface, yield indicators, weight of 1000 grains, NDVI indicator, chlorophyll content, and protein content. Among the 20 studied varieties and lines of winter chickpea, 3-4 days earlier than standard varieties, adapted to mechanization, plant height 58.0-64.3 cm, weight of 1000 grains 345.6-370.1 g, yield 21.1-26 ,1 c/ha, protein content of 27.7-29.3 percent, high photosynthetic productivity, 7 genotypes were selected. In the study, the Obikor (KR20-CICTN-37) variety, which is early-yielding, adapted to mechanization, has high photosynthetic productivity, and is superior to standard varieties, was selected and recommended to be submitted to the Agricultural Crops Varieties Testing Center.
Role of Artificial Intelligence on Consumer Attitude and Awareness towards Green Cosmetic Products
Consumer behaviour is influenced by various factors that keep on changing from one country to another. This review article aims to identify consumer awareness and attitudes towards green cosmetic products. It explores the various factors explaining consumer behaviour, such as increased demand for the consumer, purchasing power, information related to green cosmetic products, awareness of the market condition etc. There is a scope for primary research to explore the green cosmetic market as the finding of this research. This study would help society as well as to the corporate houses. It has concluded that there is a behaviour- purchase gap in the consumers related to the green cosmetic products and the government and the big corporate houses needed to work together to reduce this gap. Also shows that how the pandemic has induced the great advantage of artificial intelligence in attracting the consumers.
“Horticulture in North Goa Problems and Prospects – A Geographical Analysis”
Goa is tiny emerald land situated well on the western coast of India known as Konkan. Agriculture is one of the major economic activities of the people of Goa, contributing about 9% to the state domestic product.In recent years agriculture is on a decline due to trends of urbanization affecting both horticulture and agriculture, diverting from primary to secondary as well as tertiary occupation. Hence there is need arises for promoting horticulture for the growth of the economy etc. Horticulture is a traditional occupation of Goa. The recent developments in industrial trading and commercial activities and tourism industry has enabled to study the growth of horticulture which provides a linkage between industrial and commercial activities eventually leading to the development of the state’s economy. “Horticulture in North Goa Problems and Prospects – A Geographical Analysis’This topic will enable me to have greater emphasis on the detail study of horticulture and other aspects in North Goa.
Assessing Skill development in India: Study of 112 Aspirational Districts of India from March 2018 to March 2022
The apex planning body of India, NITI Aayog launched an Aspirational District Program in January 2018. This programme aimed to the quick and effective transformation of 112 least backward districts of the country. This programme is based on three dimensions i.e. Convergence of Central & State schemes, Collaboration of ‘Prabhari” officers of States with District Collectors and Competition among districts through a ranking that is done on monthly basis. This ranking is based on 49 KPIs across five broad socio-economic themes. This programme considers states as responsible agencies for the capacity development of district administration by using data-driven techniques primarily used to capture and assess challenges and identify bottlenecks. After the identification of such bottlenecks, tailor-made policy intervention is devised for each specific district. NITI Aayog at the apex level monitors the progress of each aspirational district by using rigorous statistical models and ICTs. Based on the output or achievement of these districts, all districts are ranked. The highly ranked districts are rewarded while laggard districts are further scrutinized for locating developmental issues. Instead of ranking districts with delta rank or composite scores, the study divorce from NITI Aayog’s methodology of monthly delta ranking and attempts to grasp progress made by 112 districts under the Education and Skill Development theme from March 2018 to March 2022. For this purpose, the study explores 14 indicators under the education theme and 10 indicators under the skill development theme. Under the Skill development, theme 10 indicators are selected to trace progress made by districts in terms of youth, employment, skilling of vulnerable youth etc. The progress made by the states and districts represents the progress made in achieving Sustainable Development Goals at local levels.
Efficient Human Activity Monitoring Using Feature Based Deep Learning Techniques
Segmenting behavior-based sensor data and detecting the activity represented by the data are critical elements in any human activity learning applications such as health monitoring, security, and intervention. By recognizing activity transitions, we improve activity recognition. Activity segmentation can be used to increase the performance of activity identification in addition to giving useful activity information. We propose exploiting data obtained from smart homes to identify human activity using machine learning and deep learning methodologies. On data acquired from the five smart homes, we test our suggested segmentation-enhanced activity detection algorithm.
D. Thenmozhi, Kalaivani A., Kabilasudhan N. C., Rajeshwaran J., Pratyush Nepal
WAQF-based Insurance Strategies in Indonesia Sharia Life Insurance Using Analytic Network Process (ANP)
Waqf based insurance was introduced to the Indonesian community by National Sharia Board Fatwa No 106/2016 concerning sum assured and investment fund waqf in Islamic Life Insurance. This regulation allows participants of life insurance to waqf part of their sum assured insurance benefit and investment value through waqf organization (Nazhir) which has cooperation with sharia insurance company. Low penetration of sharia insurance and limited awareness of waqf among Indonesian causing this waqf based insurance was not developed well. This study aims to analyze problems in the development of waqf based sharia life insurance in Indonesia, solutions and formulate strategies to be implemented in the development of waqf based insurance. This research method used Analytic Network Process (ANP) that clusters the problems, solutions, and strategies. Research data was obtained through Focus Group Discussions (FGD), in-depth interviews, and questionnaire with 15 experts in the field of insurance, cash waqf and insurance waqf in Indonesia. The results showed that the main problem in the development of insurance waqf is coming from internal company, i.e. lack of management commitment to developing the waqf based insurance and low understanding of waqf among employees and agents, product and features which waqf embedded in unit link product with a high premium, limited variation of waqf payment, expensive waqf distribution, limited waqf infrastructure including manual administrative processes. External problems are the lack of waqf incentives, promotion, and education by regulators, as well as the low level of public understanding of waqf insurance. The proposed internal solution is to increase management commitment by promoting an understanding of waqf opportunities as a new market for sharia insurance as the waqf is unique and specific proposition that in line with sharia insurance concept. The external solution is education through a sustainable literacy program with the theme of economic empowerment and poverty alleviation. Strategic partnership with the moslem community by conducting ‘community & digital waqf marketing through a referral program’ is the main solution to distribute the waqf to moslem community. Externally increasing promotion, education, and regulations related to insurance waqf will promote the waqf to Indonesian.
Nina Mudrikah Hariyati, Tatik Mariyanti, Hendry Tanjung, Jaih Mubarok
Identification of biochemical parameters in Iraqi girls suffered with Acne Vulgares
A number of biochemical variables associated with the incidence of acne in women in the study groups were estimated. Including a test that measures the level of the luteinizing hormone stimulating hormone, a test that measures the level of follicle stimulating hormone, a test that measures the level of milk hormone, a test that measures the level of testosterone, a test that measures the level of globulin associated with sex hormones. SHBG (6.20 ± 9.65), FSH (3.201 ± 9.05) and ZN (5.37 ± 91.76) compared with control (7.19 ± 12.01), (3.32 ± 8.69) and (6.29 ± 91.57) respectively. While there was a significant increase in the level of each of the TEST hormone (0.72 ± 0.93) and LH hormone (2.38 ± 9.17) compared with the control group (0.019 ± 0.044) and (0.94 ± 3.41), respectively. The results of the study showed that within the age group 26-37 there was a decrease in the level of each of the hormone SHBG (5.40 ± 9.52), FSH (3.35 ± 8.36), and ZN (5.14 ± 90.38) compared with the control group (4.60 ± 26.54), (4.15 ± 8.91) and (4.15 ± 8.91). (3.86 ±94.16), respectively. While there was a significant increase in the level of each of the TEST hormone (0.67 ± 1.30) and LH hormone (1.84 ± 8.24) compared with the control group (0.14 ± 0.13) and (0.84 ± 3.02) respectively. The results of the study showed that within the age group >37 there was a decrease in the levels of SHBG (5.99 ± 9.64), FSH (3.77 ± 8.47) and ZN (5.99 ± 91.35) compared with the control group (7.95 ± 18.25), (0.84 ± 13.75) and (0.84 ± 13.75). 4.88 ± 88.71), respectively. While there was a significant increase in the level of each of the TEST hormone (0.81 ± 1.44) and LH hormone (1.10 ± 6.83) compared with the control group (0.12 ± 0.20) and (0.93 ± 3.52), respectively.
Mustafa M. Yunos, Haitham L. Al-Hayali, Owayes M. Hamed
Metylation of Promoter and Gene Expression of CDKN2B Gene in Iraqi KIDS suffered with Leukemia
Leukemia is a malignant hematologic disorder characterized by abnormal white blood cell differentiation leading to increased rates of cancer cells in the bone marrow and peripheral blood. It is a common malignancy that occurs in children and adults when changes occur in the regulatory processes of normal cells and cause uncontrolled proliferation of hematopoietic stem cells. in the bone marrow.The CDKN2B gene, which is located in chromosome 9P21, is a tumor suppressor gene that plays an important role in the cell cycle through its inhibition of cyclin complexes and cyclin dependent kinase 4/6, and the inactivation of this gene is due to mutations or by a process of methylation for promoter of gene leads to the occurrence of the disease.This study aims to determine the relationship between the genetic variation of the CDKN2B gene and the incidence of leukemia among children in the city of Mosul.This study included (71) children between the ages of (1-15) years old who were referred to Ibn Al-Atheer Hospital in the city of Mosul for a period ranging from September to October of 2022, and the samples were divided into two groups. The first included this category 20 children and counted As a control group, the second group included 71 children from among the children with leukemia. (5.0) ml of venous blood was drawn from the children and divided into three parts. The first part was placed in tubes containing EDTA anticoagulant, which is used for DNA extraction, and the second part was placed in Eppendorf tubes containing On trisol for the purpose of extracting the RNA, and the last part was placed in two gel tubes free of any anticoagulant substance to obtain blood serum. Determining the genetic variation of the CDKN2B gene using by analyzing the gene expression level of the CDKN2B gene based on the RT-PCR technique. also measured DNA methylation in the promoter of gene CDKN2B. In addition, the level of the cell cycle-regulating protein CDKN2B was measured based on ELISA technology. The results of the test for the DNA methylation process in the promoter of the CDKN2B gene showed that methylated DNA was present in all samples of the patients on whom the test was conducted at a rate of 100% compared to the control group in which there was no methylation of the studied gene primer, while the results showed the presence of bundles belonging to the unmethylated process in all samples Patients with healthy people by 100%, and if it is noticed that there is a decrease in the level of gene expression for patients compared to the control group, , as it was found A significant decrease in the level of CDKN2B protein at the level of probability p≤0.05, the ratio in the control group was 40.1 ± 2.34 compared to the patients group 28.5 ± 1.24.We conclude from this study that genetic variations and mutations and an increase in methylation led to a decrease in the level of gene expression of CDKN2B gene with A decrease in the level of the encoded protein, which is one of the main causes of the development of leukemia.
Molecular Study of VDR Gene in Women with Osteoporosis in Mosul City
Osteoporosis is one of the most common diseases in the world, and it is identified by the changes that occur in bone mineral density according to international health standards, and the disease is diagnosed by dual-energy X-ray DEXA. Osteoporosis is divided into two types (primary and secondary), where the primary type is in elderly men and women due to aging and in women in menopause. As for secondary osteoporosis, it is the result of different diseases and treatments, or because of tumors, cancerous diseases, systemic diseases, and endocrine diseases. Different diets, wrong diets, and lack of exercise are all causes of osteoporosis [1] The current study included (96) women, ages ranging from (45-35) years, from the reviews to the private pathological analyzes laboratories in the city of Mosul, in a period of time ranging from September to November of the year 2021, and the clinical cases of the disease were relied upon in selecting samples. The samples were divided into two groups depending on the biochemical results: The first group: This group included 25 women who did not suffer from any problems and was considered as a control group, The second group: This group included 71 women with osteoporosis based on biochemical results. The biochemical indicators associated with osteoporosis were measured (Osteocalcin, Pyridinoline, Hydroxyprolin), and the level of a number of biochemical variables (V.D, Uric acid, Ca) was determined, and the genetic variation of a number of genes associated with osteoporosis was determined (COL1A1gene, COL1A2). gene, VDR gene), the VDR gene at the locus (rs7975232), the results for women with osteoporosis showed that the recurrence value of the CC mutant genotype in the group of women with osteoporosis was 18%, compared to 15% for the mutant genotype in the control group. 15%, while the value of the normal (normal) genotype, AA, was 37% among women with osteoporosis, compared to the healthy group, in which the percentage of the normal (normal) genotype was as high as 40%. As for the heterogeneous genotype, AC, it was 45% in the group of afflicted women. The percentage of observations was equal to the control group 45%, As for the allelic frequency, the results showed that the incidence of the mutant allele C was high in the patients group, 40% compared to the control group, 38%. As for the natural allele, the percentage was 60% in the patients, compared to 62% in the control group. And after conducting a sequence test and matching the VDR gene in the study samples with the control sample and matching it with the gene sequence on the NCBI website, it turns out that we have many different genetic variations, which are divided into two basic types, either transition variations or (Transversion) variations and their locations depending on the type of bases heterogeneous. The results of the study also showed that there is a genetic relationship between variations and different genotypes with biochemical indicators of osteoporosis.
Clinical Evaluation of Efficacy of Local Application of Turmeric Powder (Curcuma Longa Linn) in Uvulitis
Uvulitis is inflammation of the uvula. This is the small tongue-shaped tissue that hangs from the top of the posterior part of the mouth. Uvulitis is usually associated with inflammation of other mouth parts, such as the palate, tonsils, or throat (pharynx). Uvulitis is another word for a swollen uvula.Galashundika is a disease, which is very commonly observed, in classical Ayurveda, it is considered as Talugata Vyadhi(palatine diseases). Galashundika caused by Kapha developing in the root of the palate, resembling like urinary bladder of the fish, soft elongated, slim, causing obstruction to the throat, making particles of food to come out through the nose, producing thirst, cough & vomiting. Also, this leads to Shopha (swelling), Kantha-avarodha (difficulty in swallowing) & Trisha (thirst), Aaraktata (congestion), Shushka Kasa (dry cough). There is a disease, which is somewhat similar to Galashundika called as elongated uvula or uvulitis.The anti-inflammatory property of local application of turmeric powder reduces inflammation from all over the uvula in trial group. In control group the treatment of warm saline gargles had only soothing effect. Anti-inflammatory property is less in warm saline gargles than localapplicationof turmeric powder.we concluded thatuvulitis is a common disease in all age groups from 10years to 55 years in all season.Use of turmeric powder local application on uvula also is effective in uvulitis. Recurrent attacks of uvulitis can be reduced by turmeric powder local application on uvula and it has better results than warm saline gargles.
Gajanan Balkrishn Patil, Tarkeshwar Wankhede, Suryabhan S. Dongare, Shobhit Dave
Preparation and Characterisation of Silver Nanoparticles of Ficus Benghalensis & Its Antioxidant Potential
Plant-mediated synthesis of nanomaterials has been increasingly gaining popularity due to its eco-friendly nature and cost-effectiveness. In the present study, we synthesized silver (Ag) nanoparticles using aqueous extracts of Ficus Benghaensis which belongs to family MORACEAE (Mulberry). The banyan tree has been use for many medicinal purposes from ancient times the aerial roots of banyan tree has astringent antibacterial, antioxidant and anti inflammatary property. Aqueous extraction was carried out along with its phytochemical analysis. This method allowed the use of Aqueous extract for synthesis of silver nanoparticles, which was confirmed by ultraviolet-visible (UV-Vis) spectrophotometry. UV-Vis spectra and visual observation showed that the color of the extracts turned into grayish brown, after treatment with Ag precursors. Results for Synthesised silver nanoparticles was confirmed by UV spectra which showed chromatogram at 491nm in aqueous extract.
Design, Synthesize and Characterization the Quinazoline Derivatives as Antitubercular Agent
An efficient direct amination of quinazolin-4(3H)-ones using N,N-dimethylformamide as a nitrogen source is described that affords the corresponding 4-(dimethylamino)quinazolines in high yields. This transformation proceeds through efficient 4-toluenesulfonyl chloride mediated C–OH bond activation at room temperature. These Synthesized 4 compounds were confirmed through spectral characterization using IR, NMR, MASS Spectroscopy. The result showed significance for these compounds antitubercular activity compared with Pyrazinamide as a standard drug.
Monali M. Shewale, Amol S. Shete, Akshada A. Koprade, Trupti P. Durgawale, Dipak Mali, V. C. Yeligar, Rutuja R. Gharal, Ranjit S. Jadhav, Akshaykumar B. Kadam, M. N. Veer
Effect Of Gel Based Polyherbal Handwash Of Azadirachta Indica, Citrus Limonis, And Aloe Vera, On Staphylococcus Aureus,Candida Albicans And Bacillus Subtilis
Infectious diseases that can be spread from person to person in homes and communities continue to be a major cause for worry. The changing nature and range of pathogens we are exposed to and community demographic changes that affect our resistance to infections are the main reasons for this. Both of these factors contribute significantly to the problem. It is essential to practice good hand hygiene in order to cut down on the spread of infectious diseases in both the household and the community. Because antibacterial soaps contain triclosan, which has a significant number of drawbacks, and alcohol-based sanitizers, which cause discomfort due to skin drying, we should consider replacing them with herbal antimicrobial components instead. The gel base is both the material and the process. Azadirachta indica, Citrus limonis, and Aloe vera are the herbs that are utilized in the preparation of polyherbal hand wash. This helps to prevent any unwanted side effects. The gel base polyherbal hand wash that was developed was tested for its antibacterial activity using the cup plate method, and the results were positive. Staphylococcus aureus, Candida albicans, and bacillus subtilis are the three types of microorganisms that are employed in antimicrobial testing. As a result of the experiment, we can draw the conclusion that gel-based polyherbal hand washes provide a higher level of inhibition than commercially available synthetic hand washes
A Vision-Based System Design and Implementation for Accident Detection and Analysis via Traffic Surveillance Video
In this work, we aim to investigate the problem of detecting and analyzing traffic accidents automatically and effectively through surveillance videos and implement the whole framework on an AI demo board. First, the technique of motion interaction field (MIF) that has the potential to detect crashes in a video is adopted to locate the crashed vehicles based on the interactions between multiple moving objects. Second, the YOLO v3 model is employed to identify the crashed vehicles within the appropriate location. In order to recover the vehicle trajectories before the collision, a hierarchical clustering approach is used, and the corresponding trajectories are obtained. Third, to facilitate the judgment of traffic police, the trajectory is projected to a vertical view by using a perspective transformation. The vehicle velocity is estimated accordingly with the unbiased finite impulse response (UFIR) approach that does not require statistical knowledge of the external noise. Then, the estimated velocity and the obtained collision angle from the vertical view can be utilized to analyze the traffic accident. Finally, to show the effectiveness and implementation performance of the proposed approach, an experiment is carried out based on a Huawei AI demo board named HiKey970 that is used for coding all the mentioned algorithms. Several accident surveillance videos act as the input of the demo board. The accidents are detected successfully, and the corresponding vehicle trajectories are recovered.
CH. Veena, M. Swathi, M. Harini, M. Rujula
Deep Learning for Satellite Picture Classification
Applications such as emergency management, law enforcement, and environmental monitoring all rely heavily on satellite images. For these purposes, human facilitation and object identification are required. The enormous number of potential search areas and the scarcity of available analysts make automation a necessity. Yet, standard approaches to item identification and categorization are limited in their ability to provide a solution due to their emphasis on correctness and precision. Some progress has been made on automating these processes using the supervised neural class of machine learning algorithms. Evidence suggests that neural networks based on convolution may improve image recognition as well as comprehension. Here, we employ them to determine how to distinguish man-made features from natural ones in multispectral, high-resolution satellite images. Using the IARPA Functional World Map (fMoW) dataset, we offer a deep learning method for categorizing features and infrastructure into 63 categories. Visual features and satellite data are integrated using neural networks based on convolution and other artificial neural that form the backbone of the system. Built in Python with the help of the deep learning frameworks Keras and TensorFlow, it is deployed on a Linux server equipped with a Geforce Titan X graphics card. In the fMoWTopCoder competition, the system is now ranked second. Its F1 score is 0.797, and its total accuracy is 83%, with 15 out the of 16 classes properly classified (95% or higher).
P. Prashanth Kumar, V. Sanjana, B. Saisri, R. Kirthana
Detection of Breast Cancer via VIM Feature Selection Method and Hierarchical Clustering Random Forest Algorithm
Neoplastic breast cancer, a horrible carcinoma outrage, represents a critical danger to ladies wellbeing. Being the main source of female harmful advancement mortality, it is seen to pass even through hereditary. To diminish the number of individuals who pass on from this disease, exact conclusions and successful treatment are fundamental. Random Forest (RF) is one amongst the most widely recognized ML approaches utilized in areas of strength for exposure as of late. But, trees that may contain less performance and high similarity may be created that would deny the whole idea of detecting cancerous cells. A “Hierarchical Clustering Random Forest (HCRF)” is a model built based on it. The concept of decision trees and selecting the most similar trees amongst the outcome generated for classification is used here. To expand dis-similar levels and reduced nearness, decision trees are selected accompanying limited occurrences. Also, we select the most probable tree that would yield us righteous outcomes by resorting to the “Variable Importance Measure (VIM) method”. “The Wisconsin Diagnosis Breast Cancer (WDBC)” and “Wisconsin Breast Cancer (WBC)” dossier sets from the “UCI (College of California, Irvine)” ML vault are secondhand in this place review. Veracity, accuracy, openness, unequivocally, and AUC of the projected methods shown are entirely determined. When diverged from Decision Tree, Adaboost, and Random Forest, beginner results in the “WDBC and WBC” datasets show that, gathering the HCRF estimate and utilizing VIM as a portion of the ratification approach would achieve ultimate veracity, accompanying 97.05% and 97.76%, alone. These techniques could be utilized to analyze breast cancer.
N. Sujata Kumari, B. Geethika, E. Mangamma
Machine Learning-Based Performance Analysis for Predicting the Severity of Vitamin D Deficiency
There is a squeezing need for harmless strategies to expect the seriousness of vitamin D deficiency (VDD), which is a significant worldwide medical condition. The essential information, which remembered Vitamin D levels for the blood, were assembled from 3044 undergrads between the ages of 18 and 21. VDD was anticipated utilizing age, orientation, level, weight, body mass index (BMI), midriff outline, muscle to fat ratio, bone mass, action, daylight openness, and milk utilization. The target of the review is to look at and examine different ML models for anticipating VDD seriousness. The objectives of our procedure are to estimate utilizing an assortment of refined ML calculations and to evaluate the results utilizing different execution measures, for example, Accuracy, Review, F1-measure, Exactness, and Region under the bend of a beneficiary working trademark a (ROC). The empirical data were checked with the statistical McNemar's test. The last trial results showed that the Arbitrary Timberland Classifier beat the preparation and testing Vitamin D datasets with an exactness of 96%. McNemar's factual tests exhibit that the RF classifier performs better compared to different classifiers.
T. K. S. Rathish Babu, M. Nikitha, K. Pranavi
Crime Prediction and Analysis Using Machine Learning
Preventing criminal activity is crucial since crime is a major issue in modern society. Several violent crimes are perpetrated every day. For this reason, it is necessary to retain a record of any criminal activity for possible future reference. Current challenges include keeping accurate crime datasets and evaluating these datasets to aid in future crime prediction and resolution. This study aims to forecast future crime types based on an analysis of large datasets including information about past crimes. The goal of this research is to use data analysis and machine learning science to anticipate crimes committed in Chicago based on that city's extensive crime database. The statistics are taken directly from the Chicago Police Department's website. Details about the location, time, date, latitude, and longitude of a crime are all included. The data will be preprocessed before the model is trained, and then features will be selected and scaled for optimal accuracy. We will evaluate many different crime prediction algorithms, including K-Nearest Neighbor (KNN), and utilise the most effective one in our training procedures. Several scenarios, such as when crime rates or criminal activities tend to spike, will be graphically represented as part of the dataset's visualisation. This project's overarching goal is to provide a conceptual framework for how law enforcement organisations may make use of machine learning to improve their ability to identify, anticipate, and catch criminals at an accelerated pace, hence lowering the crime rate. This is not unique to Chicago; it may be used elsewhere, too, if a suitable dataset is made available.
Karuna Verma, M. Suchitha, D. Lakshmi Satwika, G. Ashwini
An Efficient Framework for Fingerprint Based Cash Machine
The project's overarching goal is to provide a more secure system for banking by using fingerprint identification at ATMs and other financial institutions. The project's aim is to use FINGER Fingerprint identification technology to make banks safer and easier for consumers. Identification and verification of the person who owns or runs the business is required for a variety of activities, including withdrawing money from an ATM, managing access to a structure or garage, unlocking a security device, driving a vehicle, etc. Conventional methods of authentication, such as photo IDs and signatures, have their limitations and are not fool proof. Quick and trustworthy systems are necessary for the infrastructure utilised in these places. Automated Teller Machine (ATM) cash withdrawals are becoming less convenient as further identity verification is required. Users lose money at ATMs because of identity theft that occurs with the current system. Fingerprint Based ATM is a desktop application that uses fingerprint scanning as a security feature. Each fingerprint is somewhat different from every other fingerprint, making them useful for identifying individuals. find them without any help. Instead of using your bank card to make a purchase, try this. ATMs that require fingerprints are more secure and safer for users. You can forget about carrying around a debit card inside your wallet, and never having to replace it if you misplace it. Simply use your fingerprint whenever you need to make a monetary exchange. The user must authenticate through his fingerprints and then enter the PIN number before the transaction can be completed. Users may access their money by requesting a withdrawal. A user may transfer funds to another account by simply entering the receiving account number. Users may request a withdrawal by inputting the amount and selecting a withdrawal method. The customer's financial institution account must have enough money in it to make a withdrawal from an ATM. The user has 24/7 access to their account balance information. The latest five transactions made using the system will be displayed for users to peruse.
G. S. L. Poornima, Y. Sahitya, M. Sai Poojitha, S. Narayani
Health Monitoring at Home using Deep Transfer Learning
During certain situations, the healthcare system is put under extreme pressure. Isolated non-critical infected patients may benefit from receiving health care services in their homes and can have the comfort, as this can reduce their burden and their stress levels. For this process keeping tabs on at home seniors health related activities is another important application. In this paper, we mention about a home health monitoring system based on transfer learning that uses an edge computing approach. In particular, edge devices may be used to train a model based on a pre-trained convolutional neural network using just a minimum quantity of data that has been tagged on the ground and a fine-tuning technique. Hence, there is no need to transmit the raw data picked up by these sensors to an external source. That is why you will not have to worry about any kind of data leakage, insecurity, or bandwidth scarcity. Moreover, real-time computation for the above mentioned works costs should be affordable. An AI-enabled health monitoring system, a computer vision system, the COVID-19 epidemic, deep learning, computing, transfer learning, and visual sensors are some of the terms that may be used to describe this system.
A. Ravi Kumar, K. Sneha, T. Deepika, T. Srilakshmi
Efficient Lightweight Attention Network for Face Recognition
Albeit deep learning has added to confront acknowledgment's prosperity, present changes, age contrasts, and lighting conditions can all essentially affect execution in nature. Utilizing the productive methodology known as Efficient Lightweight Attention Networks (ELANet), this business locales the issue of the impacts old enough and position on face acknowledgment capacity. In the first place, comparative neighborhood patches are fundamental when a face's shape and appearance change essentially. Channel-based consideration is utilized to zero in on highlights of shifting significance to tackle this issue, and spatial consideration is utilized to track down huge neighbourhood related patches. The objective of the Efficient Fusion Attention (EFA) module was to further develop execution while all the while bringing down how much time and exertion expected to join spatial and channel consideration. Second, it is essential to learn qualities at various scales on the grounds that huge changes in articulation or stance can make comparable acknowledgment regions at various scales. The Pyramid Multi-Scale module, which utilizes pooling tasks to produce an assortment of elements at different scales, is acquainted with achieve this. Third, as opposed to just adding or linking highlights from different layers, adaptive spatial feature fusion (ASFF) is utilized to interface neighborhood detail data with more elevated level semantic data. With insignificant boundaries and no handling cost, ELANet tackles the issue of what age and position mean for face acknowledgment execution. It functions admirably with versatile and implanted gadgets.
M. Pragathi, Zeba Samiya, B. Anusha, D. Deepthi
Online Monitoring System for Water Quality Based on Machine Learning Algorithms
The international attempt to develop sustainable, intelligent water delivery systems faces considerable challenges due to the urbanisation that has characterised modern cities. In urban planning, the quality of the water we use for aquaculture and we consume is becoming more crucial due to the environmental changes. The main focus of urban water quality control has historically been the physical, chemical, and biological categories of quality indicators. However, occurrences like widespread infections have increased in frequency in many big cities due to the biological indications' inevitability, worsening the threat to the fishes and public's health. We begin this task by outlining the problem at hand, going over its technical challenges, and outlining open research issues. Then, we suggest a potential solution by creating a methodology for risk assessment specific to the urban water distribution system. Using the indicator data we acquired from industrial activity, we can track changes in water quality and spot potential threats. We provide an Adaptive Frequencies Analysis (Adp-FA) approach that uses the frequency domain data of indicators for their internal linkages and individual prediction in order to produce results that can be explained. We also examine the approach's indicator, geographic, and temporal scalability. As a part of a larger study, we use data sets of industrial quality collected in four Norwegian cities (Oslo, Bergen, Strmmen, and Alesund). We put the proposed method to the test, comparing its spectrogram, prediction precision, and time commitment to better established AI techniques like the Artificial Neural Network, Random Forest, CNN, and LSTM. The results demonstrate that our strategy outperforms alternatives in most respects. Risk prediction for water quality are possible.
A. Ravi Kumar, R. Nithisha, K. Mounika, V. Savitha
In this article, psychologism is one of the most important components of fiction, opinions are expressed about the problem of psychologism in artistic creation in literary studies. In this regard, L.Ya.Ginzburg, A.B.Esenin, A.Jezuitov, R.Wellek and O.Warren, S.L.Rubinstein, among the world's literary scholars, the role of psychologism in literature, including in Uzbek literary studies in the years after independence, Uzbek literature , who started his work in the lyrical direction, and later created in the direction of prose and managed to find his readers, in some works of Q. Norqabil, there are thoughts about the role of psychologism, its spiritual and physical impact on the human mind and thinking. The article analyzes the writer’s works “Osmon ostidagi sir”, “Secret under the sky”, “Kulib tur, azizim”, “laughing, my dear”, “Bosinqirash” “Subjugation”, “Daryo ortidagi yig‘i” “Crying beyond the river”, “Ko‘zlaringni ko‘rgani keldim” “I came to see your eyes”.
Mahksuda R. Berdimuratova, Guzal A. Khimmatova, Hurriyat M. Khudoymurodova
System of Metaphorical Images in Usman Azim’s Poetry
In this article, the poetics and artistic features of the poetry of the national poet of Uzbekistan Usman Azim, who made a great contribution to the rise of Uzbek literature of the XX century, as well as the importance of metaphorical images in the poet’s poems in determining the poet’s poetry. The creative concept is scientifically analyzed. The theoretical foundations of metaphor, the essence of metaphor, scientific research conducted in world literature and Uzbek literary studies were studied. It has been scientifically proven that the phenomenon of metaphor in world literature can be observed in Usman Azim’s poems, and that unique individual metaphors can be found in his works as well. Metaphor occupies an important place in Usman Azim's literary and aesthetic outlook, including the place and essence of metaphor in his creative and artistic thinking. Different forms of metaphor, object (cage), natural phenomena (seasons), colors (yellow, red) and allegorical (dog, monkey), bird metaphors are systematically analyzed in the poet’s poems. It has been determined that the poet can use metaphors appropriately in his ability to describe human mental states. Also, in the images of the seasons: autumn, winter, summer, spring, which are widely used in the poet’s poems, the social issues of the time are shown in the process of analyzing the poet’s various poetic examples. In general, the artistic and expressive features of the poet’s poems are determined by the place of figurative images, imagery and symbolism. The essence and characteristics of each metaphor used in Usman Azim’s poems are artistically analyzed. The poet’s artistic skills, use of artistic language, expression of artistic ideas and goals in his poems are analyzed using hermeneutic, analytical-typological methods and comparative analysis methods.
Akhtam B. Sariyev, Feruza B. Sultankulova, Yulduz Kh. Amonova
Abdulkhamid Chulpan made a significant contribution to the renewal of Uzbek literature at the beginning of the 20th century. In particular, he updated the national poetry both in form and content. His creative development is influenced not only by Eastern classical literature, but also by the classics of world literature. Firstly, the classics of Russian literature A. S. Pushkin, L. N. Tolstoy, A. Blok, V. Bryusov studied their work and translated their works into Uzbek. Secondly, he was influenced by the works of the classics of Turkish literature Yunus Emro, Nomik Kamal, Tavfik Fikrat, Riz Tavfikbek. He applied a form of Ottoman-Turkish poetry to Uzbek poetry. Thirdly, he considered the great Indian writer R. Tagore as a creative school for himself. Fourthly, the English playwright and poet V. He took advantage of the genius of Shakespeare and translated his works into Uzbek. In this regard, the article deals with the relationship of Chulpan to world literature
A Comparitive Overview of Crowdfunding Regulations in Australia, the UK, the European Union, and the USA.
Crowd funding has become a major means of financing of small-scale entrepreneurial ventures and star-ups. The world now more than ever needs to fund projects which are environment friendly and innovative. Mostly, startups face the challenge of scalability and hence are not able to attract investments from big financial institutions and venture capitalists. Crowdfunding can become a major tool for financing such innovative startups and give them the flexibility of growing at their own pace without the pressure of achieving quick profitability. This paper tries to compare the crowdfunding regulations of the some of the developed countries like the USA, Australia, the EU, and the UK which have the highest concentration of crowdfunding projects and platforms in the world. There is much to learn from the regulations in these countries that how the financial power of the masses can be used to boost the economic well-being of a country by boosting entrepreneurship at a small level.
Characterization of EB-PANI, ES-PANI and Copper Doped PANI
Three types of polyaniline varieties EB-PANI, ES-PANI and copper doped PANI have been characterized. The p ®p* transitions are clearly exhibited in solution samples of PANI. However, the absorption spectra is thin films exhibit peaks at different values, explainable as per Stafstrom’s picture. The FTIR in all PANI varieties exhibit the characteristics of PANI chain. The copper linked vibrations are also seen for copper doped PANI. The X-ray spectrum are also all alike for different PANI varieties with an additional peak at a low 2q value for copper based PANI. The changes in morphology of films of PANI varieties are seen as per SEM photographs.
THE CURRENT STATE OF THE SOIL COVER FORMED ON THE DRIED-UP BOTTOM OF THE ARAL SEA
The article discusses the results of studies of the current state of the soil cover formed on the dried bottom of the Aral Sea. In the drained part of the bottom of the Aral Sea, a complex of sandy-desert, hydromorphic and semi-hydromorphic sandy-desert soils, as well as sandy-desert and sandy salt marshes has developed. All soils have different degrees of salinity, and the occurrence of salinity is due to the accumulation of salt deposits of the tertiary period in the depths of the soil and strong evaporation.
Ajiev A. B., Mambetullayeva S. M., Orazbayev T. J.
The Impact of Some Agricultural Economic Variables on the Value of Plant Production in Iraq: An Econometric Study Using the ADRL Autoregressive Distributed Time Lag Model for the Period (1990-2021)
The study aimed to identify the most important agricultural economic variables that have an impact on the trends in the value of plant production in Iraq during the period (1990-2021) using the ADRL model. The results showed the existence of a co-integration relationship between the study variables in the long term, and the variables (cultivated area, grain quantity, mechanical technology, chemical technology) are associated with a positive and statistically significant relationship with the value of plant production in Iraq in the long term, while the mechanical technology had an impact Negative significant on the value of plant production in Iraq during the study period. This may be due to the inability of farmers to use this technology (harvesters) in agricultural activities other than harvesting, or due to the agricultural lands not being suitable for using this type of modern agricultural mechanization, all of which led to the negative impact of this indicator on the value of plant production in Iraq.
Basim Fadhil Latteef AL Douri, Taha Muhammad Idan Al-Jarjari
Artificial Intelligence and Human Resources – Exploring the Integration as Colleagues
The rise of Artificial Intelligence (AI) has brought significant changes everywhere, including human resources (HR). This paper delves into the impact of AI on HR and questioning whether AI will replace HR entirely or simply serve as a powerful enabler. Several HR tech companies specializing in automating job tasks and enhancing the job search experience have achieved remarkable valuations, indicating the growing prominence of AI in the industry.While AI has made tremendous strides, it still lacks rational understanding and falls short of replicating human consciousness. However, AI has become an indispensable tool for streamlining all HR processes. It has the potential to augment HR professionals, improve efficiency, and provide valuable insights for decision-making.Although AI has its benefits, integrating it into HR practices presents challenges. While AI can enhance HR functions, it cannot replace the human touch in areas like employee relations, conflict resolution, and strategic decision-making. HR leaders need to embrace AI while being mindful of its limitations. Rather than viewing AI as a job-stealing force, HR professionals should adopt a strategic outlook on AI governance. This collaboration between AI and HR professionals can create a harmonious and productive work environment where technology complements human expertise.
An Efficient Data Mining Technique for Assessing Satisfaction Level with Online Learning for Higher Education Students
By working on understudies' scholarly execution, each instructive association endeavors to raise the general nature of schooling. For this reason Educational Data Mining (EDM) is a quickly developing field of exploration that utilizes the standards of Data Mining (DM) to assist instructive foundations with finding significant data about Student Satisfaction Level (SSL) with regards to Online Learning (Old). To get the ideal informational settings, a couple of practices have been taken a stab at using EDM to calculate students' approaches to acting. Thus, Feature Selection (FS) is regularly used to distinguish the least cardinality yet most pertinent subset of attributes. This study examines the similarity of the SSL model with FS approaches inside and out in light of the fact that the FS cycle fundamentally affects a fulfillment model's anticipated precision. In such manner, a web-based poll was utilized to at first gather a dataset of understudy assessments of Old courses. The display of covering FS approaches in DM and portrayal computations was surveyed to the extent that health values using this dataset. At long last, the nature of 11 covering based FS calculations and the k-NN and SVM as gauge classifiers is utilized to assess the decency of subsets with different cardinalities concerning expectation precision and the quantity of chosen highlights. Both the best strategy and the element subset with the best dimensionality were tracked down in the examinations. The ongoing review's discoveries plainly support the deeply grounded association between an expansion in expectation exactness and the presence of few qualities. The fundamental assortment of attributes may really help with the improvement of productive educational drives, making FS very important for high-accuracy SSL expectation. Our work yields a component size decrease of up to 80% and order accuracy of up to 100% on the used continuous dataset.
M. Pragathi, Sharanya Kaleri, M. Sony, Saleha Sulthana
Block Chain Based E-Commerce Application
Transparency, high security, and cheap transaction costs are just a few of the ways in which blockchain technologies are expected to revolutionise a wide range of sectors as encryption and distributed computing continue to evolve at a breakneck pace. Blockchains have the potential to revolutionise online businesses, particularly e-commerce, but their scalability and performance issues now prevent this from happening. In this think about, we assess blockchain innovation and talk about the advantage and Impediments of using them for online retail. In light of this, we offer couple of blockchain-based e-commerce apps with comprehensive design specifications: social shopping and a loyal programme. This research adds to the growing theoretical foundation of distributed ledger technology and social computing. It has a few consequences for long term of blockchain innovation within the course room, among other places.
Ch. Veena, B. Jahnavi, V. Prathibha, M. Lavanya
Recommending a Fitness Assistance System Using Artificial Intelligence
We suggest a recommender system (RS) to provide artificial intelligence support for the fitness assistance system (FAS). These recommendations are made for both new and experienced users using the RS. The objective of this project is to create an RS that can interact with humans via AI and learn, assess, predict, and provide these suggestions. The best workout for each novice has been predicted using Artificial Neural Networks and Logistic Regression. Additionally, it was created utilising the Soar architecture's reinforcement learning capabilities to aid users in choosing the right workout for them. The effectiveness of utility application is verified by the experimental results.
K. C. Ravi Kumar, K. Haripriya, B. V. Yshnavi, K. Neha
Image Based Fire Detection Using Convolutional Neural Network
zeroing in on gradualness & mistake about ongoing manual & sensor farm fire acknowledgment frameworks. Based on yolov5s, aforementioned study suggests an improved estimation about continuing fire location. Strategy certain utilizes YOLOv5 organization. Most extreme pooling & normal pooling were first added towards SE channel's consideration tool towards expand field about view & improve accuracy about identifying small targets & dimness restrictions. Second, volume layer about objective acknowledgment association abide contracted utilizing Ghost model towards decrease quantity about model limits & convolution computations, consequently expanding acknowledgment rate. improved Yolov5s model for continuous fire location has been tested towards be able towards identify smoke & flares in a variety about stages & buildings. Finally, programming has been used towards recognize & locate smoke & fire. tests showed certain models for gradually identifying flames at various stages & types about burning have reached a higher level. Increased work proficiency, reduced failure caused through insufficient effort & observable proof effect about sensors, & increased fire disclosure feasibility were all features about superior model. Additionally, it had faster calculation speeds & a higher degree about reasonableness.
K. Rajani, P. Vagdevi, K. Surekha, K. Likitha, R. Sumana
Secure Message Transfer Using Pre-Existing Routing for Mantes
The rapid emergence and evolution of manet have made them popular in various use cases. Due to their flexibility and mobility, security protocols are being developed to protect these networks, but they only protect communication or routes, not both. For full protection we need to implement both secure routing and communication protocols. Hence to overcome these problems a secure framework secure message transfer using pre-existing routing for manet is proposed. it providing authentication to nodes , access can be control, and communication can be very secure.
P. Prashanth Kumar, P. Navaneetha, B. Nagasri, D. Jashwini
Suspicious Activity Detection Using Deep Learning
Big data applications are currently taking up majority about attention & space in business & academia. Unstructured big data largely comes from surveillance videos. This paper's main goal is towards provide a concise introduction towards video analysis utilising deep learning techniques in order towards identify suspicious activity. Our primary interest is in use about deep learning algorithms towards identify number about participants, number about involved individuals, & activity occurring in a crowd under all circumstances. We are able towards attain security thanks towards video analysis. Security can be described in a variety about ways, including identifying theft, spotting violence, etc. Simply put, practise about identifying unusual (abnormal) human activity is known as suspicious human activity detection. towards do this, we must break down video into individual frames, & processing these frames enables us towards examine people & their behaviour. In this system, there are two modules: an activity detection module & an object detection module.The presence or absence about an object is determined by object detection module. following module will determine whether activity is suspicious or not after detecting item.
T. K. S. Rathish Babu, G. Chaitanya, N. Snehalatha, V. Sravya
Immunomodulatory Therapies of Curcumin on Induced Dermatitis
The aim of this study was to Evaluating the therapeutics and immunomodulatory effect of the curcumin on induced dermatitis, Comparison of therapeutic efficacy between different concertation of curcumin on induced atopic dermatitis in female Albino rats, pure acetone 99.9% in female rats, this study has been carried out at the department of physiology and pharmacology, faculty of veterinary medicine, University of Kufa, Iraq, The study was performed from September to December by evaluating hematological analysis, IL-4, IL33, histopathology, and. This research was conducted in the animal house, Faculty of Science at the University of Kufa in Iraq, thirty 12-weeks old female Albino rats weighing (150-200g) were supplied from Veterinary Medicine Laboratories (College of Veterinary Medicine, University of Takrit). Rats were placed in plastic cages (six rats per cage) with woods shared for bedding. kept in well-ventilated under controlled temperature (between 23 ºC and 25 C), animals were fed with commercial food from the manufacturer green world company. Rats were assigned randomly one weeks before the experimental period for adaptation.
Ameer Abdul Hussein Abdul AL-Abbas, Shatha Mousa Mlaghee
A Test of Plyometric Training and Circuit Training on Speed and Stride Length of Tamilnadu Physical Education & Sports University Athletes
The research was to finding the analysis of plyometric training and circuit training on speed and stride length of TNPESU athletes. For this study 30 men, athletes from TNPESU athletes in the age range of 18 to 25 years were presented in the research. They are divided into 3 groups: bunch A as plyometric preparation, bunch B as circuit preparation, and bunch C as control. The experimental group prepared their training protocol for 8 weeks. The speed and stride length was measured by 50mts run. . The experimental group prepared their training protocol for 8 weeks. Speed and stride length was measured by 50 meters run. The data were collected before and after the training period of six weeks and the data collected were statically analysed by the ‘ANOVA’ test, which was used to find out the significant improvement in selected variables from the baseline to post. The result of the study on plyometric training and circuit training produced significant improvement in the speed and stride length of TNPESU athletes
An Investigation into the Effect of Online Customer Satisfaction on Purchase Intention and Word-of-Mouth Advertisement
The purpose of this study is to investigate the effect of online customer satisfaction on purchase intention and word-of-mouth advertisement. This applied research was carried out in a descriptive-survey method from field studies. The statistical population of the research is the customers of Webpoosh Website and the size of the population is unknown. The level of analysis in this research is the customers of Webpoosh Website and questionnaires will be sent to the customers online due to the outbreak of the COVID-19 in the country and the lack of access to the accurate statistical population. The minimum sample size is 385 people due to the unknown size of the population. We will distribute and complete the questionnaire based on available non-probability sampling. Considering the novelty of the research variables, the information collection tool, its validity and reliability have been tested. Hypothesis testing and data analysis were conducted using multivariate regression method and SPSS and PLS software. The research methodology is structural model and path analysis determines the outcome. The result of the path analysis shows that customer satisfaction has a direct effect on the repurchase intention and word-of-mouth advertisement among the customers of the Webpoosh Online Store, and this effect is positive and significant.
International Law in the Field of Digital Currencies for International Organizations
These days new changes done in organizations and their financial transactions, even in international organization. New methods of payment, money transactions, and new knowledge are some new challenges for any organization these days. Organizations even international organizations need to develop new regulation for new challenges which need to be ready for present needs of activities, those activities which is vital for continue of living in any organization. Crypto currencies, payment methods, even donation need to be under control and manageable. Control of transaction to prevent or reduction of corruption these days are more essential for any type of organization. This article goes to show the effect of these items after introducing international organization and needs of implementing new regulation for them.
Assessment of Oropharyngeal Dimensions in Class I Malocclusion with Different Growth Patterns in Iranian Adults
Introduction: Any changes in oropharyngeal dimensions during orthodontic treatment or surgery can not only alter the growth path and pattern but also affect treatment stability. Therefore, awareness of normal dimensions in Class I malocclusions is of great importance. This study aimed to investigate oropharyngeal dimensions in Class I malocclusions with different growth patterns. Materials: In this descriptive study, 80 adult participants (12 females and 14 males in the Low Angle group, 20 females and 7 males in the Normal Angle group, and 18 females and 7 males in the High Angle group) were selected from the patients who visited the orthodontic department of the Faculty of Dentistry, Islamic Azad University, during 2021-2022. All participants had Class I malocclusion, were within the age range of 18-25 years, had normal respiration, and had no history of orthodontic treatment, orthopedic surgery, or craniofacial anomalies. Lateral cephalometric radiographs were taken for all participants. A total of 37 measurements (12 measurements for evaluating the oropharyngeal airway pathway and 25 measurements for evaluating craniofacial morphology) were assessed. The differences between the groups were statistically evaluated using a one-way ANOVA test. Results: According to the ANOVA analysis, 21 out of 25 measurements related to craniofacial morphology showed statistically significant differences among different growth patterns. Among the parameters related to oropharyngeal morphology, the MPT (mouth-throat passage) was found to be greater in the Normal Angle group compared to the High Angle group (P=0.05), and the C3H parameter was greater in the Normal Angle group compared to the Low Angle group (P=0.04). The SPAS (superior airway width) was reported to be lower in the High Angle group compared to the Normal Angle group (P=0.08). These parameters did not show significant differences among the other groups. Additionally, no significant differences were found in tongue dimensions (TGH, TGL), middle and lower airway width (IAS, MAS), and vertical airway height (VAL) among the three groups. Conclusion: In samples with Class I malocclusion, different vertical growth patterns influence soft palate thickness, the position of the hyoid bone relative to the third cervical vertebra, and possibly the width of the superior airway passage.
Mahtab Sadat Hashemipour, Fariborz Amini, Maryam Poosti, Nasim Azizi, Zeinab Davoudmanesh
Qualitative and Quantitative Determination of the Mineral Composition of Glauconite Sands of the Krantaus Deposit
In the work, glauconite sands of Karakalpakstan, including those from the Krantausskoe deposit, were studied. The physical and chemical properties and compositions of glauconite sand were studied with the aim of their processing into local fertilizers. These samples were studied by powder diffractometry using modern programs for quantitative analysis. Studies have shown that glauconite containing rocks is the most valuable agronomic ore that can be used as complex fertilizers.
Learning, Learning About and Learning Through Language
Many theories have evolved over the years on language and learning. Halliday’s (1981) theory on Learning, Learning about and Learning through language is discussed in this paper. For any learning, use of language as well as interaction with others is necessary. Language learning is not a solo process, it has to be developed through social interaction. The paper elaborates on the three facets of Learning, the distinctions and inter relationship among them. The concept of scaffolding and its help to make learning a language more effective is described. The three facets seem alike, but studying them apart helps to understand their individual contribution to the language development of the child.
Understanding Taxonomy of Generative Models
The study of generative models has gained popularity in the field of machine learning. These models are valuable for a range of applications, including picture and speech synthesis, text generation, and anomaly detection, since they can produce new data that is similar to the training data. We give a thorough overview of the many generative model types in this review paper, covering pixelCNN/RNN, variational autoencoders and generative adversarial networks but the main focus is on GAN nets. We compare each model's performance on a variety of tasks and talk about its advantages, disadvantages and applications. In conclusion, this review paper offers a thorough and current summary of the state-of-the-art in generative modeling and should be helpful for scholars and practitioners interested in this fascinating and quickly developing topic.
Formulation, Evaluation and Comparison Study of Sublingual Tablets of Flubendazole with Solid Dispersed Sublingual Tablets of Flubendazole for Prophylaxis of Filariasis
This investigation is concerned with formulation of oral dosage form for prophylaxis of filariasis with sublingual tablets. A macrofilaricide such as Flubendazole would be extremely helpful in the effort to eradicate human filariases. The need for alternative pharmacological techniques to enhance the systemic bioavailability of Flubendazole and its metabolites has become more urgent as a result of significant injection site reactions being observed in humans after parenteral Flubendazole treatment. Oral mucosal delivery of drugs promotes rapid absorption and high bioavailability, with a subsequent immediate onset of pharmacological effect along with patient convenience and compliance. The present study, aims to develop sublingual tablets of Flubendazole. Different concentrations of superdisintegrant Crospovidone were added. Mannitol was added in appropriate ratios for taste masking. The study involved formulation of solid dispersion system of Flubendazole to enhance soubility and hence bioavailability. Drug content and in vitro studies were carried out on the formulation. All formulation of pure drug and solid dispersion system were compressed by direct compression method. These tablets were evaluated as final dosage form for drug content and in vitro release profile. A comparative study of all dosage form was carried out. In vitro release studies were carried out mimicking in vivo conditions in the sublingual region for dissolution. It was seen that solid dispersion drug delivery system formulation SD3 showed maximum release of 93.56% after 18 minutes as compared to F3 formulation. Thus it was concluded that solid dispersion delivery system of Flubendazole can be a better option for the prophylaxis of filariasis.
Mithva B. Bhagat, Mukesh T. Mohite, Anmol A. Dwivedi, Sai S. Bapat, Dhanashree A. Kalsai
Reading Approaches on Key Stage 2 Learners' Literacy Levels in Both Filipino and English
This case study seeks to determine the best reading approaches to employ in order to reduce the rate of frustration in both Filipino and English literacy levels of key stage 2 learners during the school year 2023-2024. The information was gathered through interviews. Alipao Elementary School is one of the medium schools in Alegria District, Surigao del Norte. Based on the PHIL-IRI Pre-Test Results for School Year 2022-2023 at Alipao Elementary School in Key Stage 2 learners, there was a sharp increase in frustration rate compared to instructional rate in both Filipino and English literacy levels. Based on the interviews, most of the teachers used pre-reading, intensive reading, and extensive reading as reading techniques in the classroom. Among the three techniques, intensive reading is the most effective because word recognition, fluency, and comprehension are all used. The findings of this study indicate that intensive reading, as utilized by key stage 2 learners, will be more effective if parents’ and guardians' engagement is promoted.
Annie Rose D. Cassion, Jonathan V. Pagdato
Emulgel: A Novel Approach for Topical Drug Delivery System
The use of topical drug delivery systems is expected to witness a significant rise in the future due to improved patient compliance. Emulgel have emerged as a popular choice among various options available in this domain. Emulgel possess several advantages, including excellent spreadability, adhesion, viscosity, and extrusion properties, which enhance their effectiveness as drug delivery systems. One notable advantage of emulgel is their ability to accommodate hydrophobic drugs within water-soluble gel bases. This characteristic is particularly valuable as many drugs exhibit hydrophobic properties and are not easily soluble in water. By formulating these drugs into emulgel, topical administration becomes more convenient and efficient. As a result, emulgel have the potential to revolutionize drug delivery, offering improved therapeutic outcomes and patient satisfaction. Continued research and development in this field are expected to lead to further advancements and applications of emulgel in delivering a wide range of therapeutic agents.
Sonali P. Mahaparale, Sushant M. Ahire, Manisha Akotkhane, Ashwini Pansare, Sachin Shingare, Rushikesh Tagad
Assessing and Disclosing the Perceived Level of Resilience of Disaster Affected Families in Marawi City
Aim: The study aimed to assess and disclose the level of perceived resilience quotient of disaster-affected families in Marawi City along these lines: self-assurance, personal vision, flexibility and adaptability, organization, problem solving, interpersonal competence, social connection, proactiveness, and overall resilience quotient. Methodology: A descriptive research design was used to assess and disclose the perceived level of resilience quotient of disaster-affected families in Marawi City. Also, to reveal the areas in which the affected family requires assistance and to educate individuals in the same situation on how to overcome it. The respondents of this study were four hundred twenty-four (424) family members who were randomly selected to be part of this study, especially those who are affected and live in an IDP camp in the city of Marawi. The survey questionnaires were used as data-gathering tools. The total enumeration of the respondents was used for this study. Results: Based on the results of this study, respondents were having high Perceived Level of Resilience Quotient in all investigated areas. This means that despite that they faced some adversities during the disaster they still maintain their resilient know that things will not remain permanent forever they will bounce back and relocate to their various permanent home. Conclusion: However, this suggests to the government and NGO's that are working with people in such dilemma to make sure they render every support needed to always maintain their resilient and provide them adequate assistant.
Noralie B. Tejano, Stephen A. Fadare, Hendely A. Adlawan, Joel V. Bedoya, Rosalyn I. Bornea
In Vitro Evaluation of Polyherbal Cream as a Promising Therapeutic Approach for Psoriasis: Assessing Anti-inflammatory and Anti-Fungal activity
The aim of this study was to develop and assess the effectiveness of a polyherbal cream containing extracts of Terminalia chebula, Cassia tora, Ocimum sanctum, and Cynodon dactylon for the treatment of psoriasis, a chronic autoimmune skin condition characterized by scaly patches on the skin. Given the limitations of traditional treatments, herbal medicines have gained popularity as alternative or complementary therapies for psoriasis. The physical and chemical characteristics of the polyherbal cream were evaluated after formulation using a standardized procedure. The study findings revealed significant anti-inflammatory and antioxidant properties of the polyherbal cream, both of which are crucial for the successful management of psoriasis. Furthermore, in vitro studies using the protein denaturation method and in vitro cell viability assay and anti-microbial study demonstrated the cream's anti-inflammatory activity. These results suggest that the polyherbal cream containing Terminalia chebula, Cassia tora, Ocimum sanctum, and Cynodon dactylon extracts may serve as an effective alternative or complementary therapy for psoriasis. However, further clinical trials are necessary to validate the long-term safety and efficacy of the cream.
Ashitosh Bhujbal, Mukesh Mohite, Sarika Alhat, Sunil Adhe, Neha Kure, Shailaja Khedkar
Formulation and Characterization of Enteric Coated Tablets of Zingiber Officinale Extract for Antimigraine Activity
Purpose-For the purpose of treating the aura phase of migraines, an enteric-coated zingiber officinale (Ginger) extract tablet formulation, and evaluation was attempted in the current study. Methods-To achieve this goal, core ginger extract tablets were prepared by using the direct compression method. Based on results of factors drug release and disintegration time from design of experiment software, optimization of batch was done. Optimized batch used for formulation and evaluation of enteric coated tablet by dipping method. Eudragit L 100, PEG, and acetone was used for the coating of the tablet. Drug release and disintegration time for the first 2 Hr in 0.1 N HCL and then 1 Hr in 6.8 pH phosphate buffer were performed for the prepared coating tablet. Result-All Prepared tablets are evaluated for their pre-compression and post-compression characters. Optimized formulation shows no drug release at first 2 hrs in gastric fluid and shows 86.78% drug release in pH 6.8. Conclusion- Ginger Extract is an acid sensitive medication and it is protected by enteric coating to give better therapeutic results.
Prachi Shrimant Farande, Vaibhav Ravindra Vaidya, Mohit Ashok Mahajan, Abhishek Ashok Galgate, Shrutika Janardan Bhagde, Rohit Shashikant Jadhav
The Effect of Religiosity, Social Media Promotion and Quality of Service on Loyalty in Sharia Rural Bank in Indonesia
In the midst of rampant marketing through social media, has the BPRS utilized marketing or branding strategies through social media, and what is the quality of service provided by the Bank and the level of satisfaction provided to customers that can provide value for customers. The scope of this study will discuss the factors that influence customer loyalty in Sharia Rural Banks (bahasa: Bank Pembiayaan Rakyat Syariah (BPRS)). This research does not cover Customer Loyalty that occurs in Islamic Commercial Banks (bahasa: Bank Umum Syariah (BUS)) and Sharia Business Units (bahasa: Unit Usaha Syariah (UUS)) because the BPRS Industry has separate customer segments and market shares that are different from BUS and UUS and there are limited data and access to information. Based on the background above, the authors consider it important to conduct research by analyzing variables that can affect customer loyalty in terms of Religiosity, Social Media Promotion and Service Quality with customer satisfaction as an intermediary variable.
Muhammad Hadi Maulidin Nugraha, Tatik Mariyanti, Yuswar Z. Basri
Analytical Methods and Permeation Mechanism of Eletriptan
One of the most popular complaints is headache, specifically migraine. Migraine is a chronic, incapacitating neurovascular situation that causes severe headache the episodes, autonomic nervous system dysfunction, and, in rare instances, an aura with neurologic symptoms. It affects a significant portion of the world's population, with females (15-18%) having a higher incidence than males (6%). Based to a recent WHO evaluation, severe migraine, along with quadriplegia, psychosis, and dementia, is one of the most devastating chronic diseases. There are now two hypotheses clarifying the existence of migraine headache: vascular theory and neural theory. The main goal of migraine therapy is to identify and reduce etiologic or aggravated causes. Furthermore, preventive and abortive therapy may be used to prevent, shorten the length of, and treat symptomologies. As a result, for the administration of an anti-migraine medical care, an approach of delivering the drug into the bloodstream via parenteral route would be ideal. However, the resulting discomfort, danger of infection, difficult administered methods, and the possibility for low patient compliance make such parenteral administration unpleasant.
Effect of gel based polyherbal handwash of azadirachta indica, citrus limonis, and aloe vera, on staphylococcus aureus,candida albicans and bacillus subtilis.
Formulation and Characterization of Enteric Coated Tablets of Zingiber Officinale Extract for Antimigraine Activity.
A Review on Classification of Machine Learning
The goal of machine learning is to figure out how to make machines that can learn on their own. It's at the crossroads of computer science and statistics, as well as the core of artificial intelligence and data science, and it's one of the most rapidly growing technical fields today. Recent improvements in machine learning have been fuelled by the development of innovative learning algorithms and theory, as well as the continued growth in the availability of online data and low-cost computing. In a range of disciplines, such as health care, manufacturing, education, financial modelling, policy, and marketing, data-intensive machine-learning methodologies are increasingly being applied in research, technology, and commerce, resulting in more evidence-based decision-making
A Survey To Assess The Knowledge And Awareness Of Maxillofacial Prosthesis As A Treatment Option To Replace Lost Structure Among Dental And Medical Professionals.
There are various psychological aspects of the success of any prosthetic treatment which include aesthetics, comfort, function, hygiene, presentation, and satisfaction. Prosthetic treatment also relates to patient satisfaction which in all includes self-esteem, self-concept, body image, and Oral-Health-Related Quality of Life. Since India is a developing country with a vast population, not every individual is aware of the advances and the variety of prostheses that a dental practitioner can provide. The study sought to assess public awareness, ascertain patients' expectations, and improve their understanding of procedural implications through necessary information about various prostheses. This study assessed how dental and medical professionals feel about using a maxillofacial prosthesis to restore lost structure.
Bitragunta Rajendra Prasad, Karri Akhil Sai Reddy, Reddy Priya Darshini, Pathuri Raveen Teja , K. Akhila Devi , Sangani Sowjanya
Self-evaluation Approach of Imam Ghazali
Islamic heritage is rich in various sciences and theories, and if used properly, it could make Muslims independent of anything foreign to their culture and civilization. Muslim scholars have strived and innovated in serving Islam and humanity, becoming leaders in their fields. Scholars and thinkers have focused on self-improvement and correction since childhood, with expert positions, methods, and authentic approaches. One of these thinkers is Imam Ghazali. In this article, we describe his approach to self-evaluation by introducing this prominent figure. His message is the development of human spiritual, mental, moral, and social dimensions.
Mofaq Hossein Mohammad, Aziz Javanpour , Davoud Sirous
Acylation of Alcohols Using Acetic Acid and Oxidation of Alcohols Using Hydrogen Peroxide in the Presence of Benzyl Triphenylphosphonium Tribromide
In this study benzyl triphenylphosphonium tribromide was prepared by oxidation of bromide ion with HNO3 in the prescnce of benzyl triphenylphosphonium chloride in H2O as solvent. The application of BTPTB as catalyst for direct acetylation of alcohols with acetic acid was investigated. The acetylation reaction was performed at 70 oC in acetic acid. On the other hands, oxidation of benzylic alcohols was achived in high yield by BTPTB in the presence of hydrogen peroxide at 60 oC in CH3CN as solvent.
Investigating the Dynamics of the Iranian LGBT Community from Legal and Religious Perspectives
Gender is one of the most important issues the lives of adolescents. It relates to sexual identity and role, sexual orientation, lust, pleasure, intimacy and reproduction. Gender affects people’s thoughts, dreams, desires, beliefs, values, behaviours, practices, roles and relationships. But gender is also affected by biological, psychological, social, economic, cultural, moral, legal, historical, religious and spiritual interactions. This is the first research conducted on LGBT people in Iran and adds to the existing literature on LGBT people by focusing on the residence of this community. This research integrates phenomenological, hermeneutic, postmodern and psychological approaches to provide a theoretical method appropriate for researching the LGBT experience, while, at the same time, demonstrating the researcher’s perception of study criteria to preserve “objectivity”. This study is highly complex as it views sexual orientation and gender-related ideas broadly as well as in private and public life. This study conducted in-depth interviews with about 300 LGBT people – 60% male and 40% female – in the three metropolises of Tehran, Mashhad and Isfahan. This research investigates their challenges in this changing age in terms of gender relations and the quality of interactions from legal and religious perspectives, thus providing readers, universities, research centres, and public and social activists with systematic theoretical frameworks about LGBT people. The main objectives of this research are to understand the sentiments surrounding LGBT people by critically analysing their perspectives and to examine the challenges these people experience when living in religious, class-based, traditional and patriarchal societies that reject LGBT identities.
Dynamics of Foreign Investments of the Islamic Republic of Iran
Based on the Dynamics of foreign investments of the Islamic Republic of Iran, the flow of investments from Asian countries into Iran has increased since 2008, but the volume of Asian investments is still significantly below that of European countries. The investments made by the Islamic Republic of Iran in the Republic of Armenia during the mentioned period were on average equivalent to only 1% of the outflows of foreign direct investments of the Islamic Republic of Iran, which is a very low index. By the econometric analysis, the effect of these laws on the FDI inflows analyzed. To this end, we have developed a regression equation that shows the impact of the Islamic Republic of Iran's GDP on the foreign direct investment inflows and the effect of these laws and legal documents on the investment climate. For the analysis, the closed data on GDP in quarterly periods of 2001-2014 in USD, dummy variable X1 indicating the existence of law, legal instrument and international contract concluded to improve the investment climate: X1 , including the FIPPA, and also tax treaties and reforms in terms of cross-tax exemptions are used. The number of observations is 56. The data analysis will be performed with EViews 7 software and the least squares used. Result show that the GDP growth changes by one unit, foreign direct investment grows by 4.52 units. The adoption of the investment area adjustment at the same time period will lead to a decline in FDI growth by 0.49 units. The FDI growth increased 0.14 units as a result of laws passed in the last quarter. The increase rate has been 0.47% in the second quarter, 1.75% in the third quarter and 0.23% in the fourth quarter. Investments made by the Islamic Republic of Iran in the Republic of Armenia are essentially random and do not follow any rules.
Traffic congestion is one of the major factors that causes various problems to the road users, these problems are commonly faced by developing countries around the world like India. Traffic Jam is a growing problem in cities, mainly at junctions during peak hours which causes major issues to the emergency services by delaying their service time and increases fuel consumption. Present study mainly focuses on the assessment of traffic jam at the Civic Centre junction, Nalasopara West, Mumbai, Maharashtra as the study area. The performance of the junctions will be analysed by using PTV VISSIM as a tool for further understanding of the junction. Along with the problems that are caused due to the local conditions will be analysed by site visits & trying to understand other issues that are existing (Pedestrian behaviour, Driving behaviour, Parking lots etc). All these design parameters will be used in PTV VISSIM to analysis the junction. A new design of the Civic Centre junction will be proposed considering all these parameters for a better free flow movement of traffic, minimizing traffic congestion, and increasing the safety of the road users to a better extend.
Anirudda Kokate, Sagar Sonawane, Rajshekhar Rathod
Detection of Corrosion and Crack in the Structure of a Bridge Using Computer Vision Techniques
Corrosion and cracks pose significant challenges to the structural integrity and safety of bridges. Early detection and monitoring of these defects are crucial to ensure timely maintenance and prevent catastrophic failures. In recent years, computer vision techniques have shown great promise in automating the inspection process. This paper proposes the utilization of two state-of-the-art object detection algorithms, YOLOv5 and Faster R-CNN, for corrosion and crack detection on bridges. A dataset comprising images specifically focused on cracks and corrosion is utilized, with bounding boxes meticulously annotating the regions of interest. Subsequently, the images in the dataset are employed to train both a Faster R- CNN model and a YOLOv5 model, enabling the detection of cracks and corrosion within the images. Comprehensive analysis is then conducted based on the outcomes of these detection models.
Sushma Kulkarni, N. Mohamed Shoaib, Kiran R. Patil, Rakshit Aralimatti, Shivpriya Mane, Vishal Pattanshetti
Formulation of Health Food Products by incorporating tulsi leaves (Ocimum sanctum) and sunflower seeds (Helianthus annuus)
Unprecedented pandemic like COVID-19 created havoc worldwide, leading to short term as well as long term physical, psychological and social health implications. The poor immunity increased the mortality and post-COVID associated morbidities. This calls for enhancing immunity for general wellbeing. Host of studies have proved that Indian medicinal plants viz. giloy, tulsi, Ginger, Curcumin, aloevera are efficient in boosting up the immunity. In the present study, two food products laddoo (a sweet) and cookies were developed by utilizing tulsi leaves powder and sunflower seed powder, respectively. Tulsi leaves (Ocimum sanctum) also known as “Mother Medicine of Nature,” and sunflower seeds (Helianthus annuus) are known to boost the immunity and possess medicinal properties. The health food products viz. laddoo was developed by incorporating 1% (S2 ), 3% (S3 ) and 5% (S4 ) of tulsi leaves powder and cookies were developed by incorporating 20% (C2 ), 30% (C3 ) and 40%(C4 ) of sunflower seed powder. S1 and C1 served as standard laddoo and cookie, respectively. The formulated health food products were assessed for the organoleptic properties using sensory scores and nutritional composition was computed. The results showed that among all the samples of laddoo, S2 (Wheat flour: tulsi powder as 99:1) was most acceptable and the nutritional values revealed that S4 had highest iron content due to more incorporation of tulsi powder and S2 (Wheat flour: tulsi as 99:1) had highest zinc content. In case of Cookies, C3 was most acceptable. It was seen that as the incorporation of sunflower seed powder increased, the nutritive value for energy, protein, calcium, and vitamin C increased. C4 (Wheat flour: sunflower seeds as 60:40) had highest energy, protein, calcium and vitamin C content. Thus, it can be concluded that tulsi leaves powder and sunflower seeds powder can be effectively incorporated to formulate value added food products.
Topic – A Crucial Role of Dietary Management for Diabetes Mellitus
Diabetes is pandemic in both created and creating nations. In 2000 there were an expected 175 million individuals with diabetes worldwide and by 2030. The anticipated gauge of diabetes is 354 million. The best relative ascent anticipated in the creating nations of the Middle Eastern Crescent, Sub-Saharan Africa and the Indian subcontinent. Constantly 2030, Over 85 percent of the world's diabetic patients will be in creating nations. Until 10 years prior, diabetes was not viewed as a noteworthy general medical issue in creating nations like India however the circumstance has now drastically changed. India drives the present reality with the biggest number of diabetics in some random nation. In the 1970 the predominance of diabetes among urban Indians was accounted for to be 2.1 percent and this has now ascended to 12.1 percent. In India it is evaluated that directly 31.7 (2000) million people are influenced by this fatal illness, which is probably going to go up to 79.4 million constantly 2030. Today it is perceived that the dominant part diabetics are non-insulin ward type. Diabetic eating routine need not be a finished deviation from the typical diet. The nourishing are the equivalent for an ordinary individual and a patient of diabetes of comparative age and body weight. An eating regimen with a high fat admission wealthy in immersed unsaturated fats, low in dietary fiber entirety grains, expanded trans – fat and higher dietary glycemic load builds the danger of creating T2DM. Globalization and urbanization assumes a significant job in dietary advances which result in higher hazard for securing T2DM. Similar patterns are found in India, for instance: utilization of cleaned rice over coarse grains; diminished admission of oats; expanded admission of meat items contrasted with foods grown from the ground; expanded utilization of dietary items and fat prompting expanded danger of T2DM.
Sharma Smriti , Kushwaha Riya , Singh O.P.
Optimizing Portfolio Based on Prospect Theory and Wavelet Transform
The balance between risk and return is one of the issues raised in the investment area. Forming a stock portfolio is considered the simplest and most effective way to reduce investment risk and increase return on investment. In the present study, the index tracking model and the prospect theory optimization model were investigated using index tracking. The data were analyzed using wavelet transform . The results were examined after removing the high frequency of the data and two algorithms including genetic and gray wolf algorisms were used in this regard. A significant assumption is that the behavioral characteristics of the prospect theory model provide better negative protection than traditional methods for the portfolio selection problem. In this study, the computational results of the prospect theory model for the real data of the financial market of the Dow Jones index and its 30 stocks were examined. To improve and confirm the result, wavelet transform was used to analyze the high-frequency and low-frequency data. The prospect theory model with the reference point which is the index is compared with the index tracking model. A major limitation was implemented for base index tracking and prospect theory models. The primary results of this work are: The advantage of stock portfolio diversification is evident in the prospect theory model. The tendency to obtain higher returns than the index in the prospect theory model with the reference point of the index leads to better performance of this model in the bull market. However, it performed worse than the index tracking model in a bear market. Finally, to confirm the implementation of the model, this model was compared with Markowitz's initial model. The prospect theory model obtained a higher return.
Understanding the Complex Interactions: Climate Variability, Socioeconomic Factors, and the Dynamics of Vector-Borne Diseases - An In-Depth Analysis
Vector-borne diseases, such as dengue fever and chikungunya, are transmitted by insects and other small arthropods (vectors) from one host to another. Almost all vector-borne diseases have a climate dimension. Global warming can extend the geographic spread of vectors and the disease transmission season. Increased rainfall, temperature, and humidity can also increase the amount of standing water, creating more breeding areas for vectors. This study explores the multifaceted relationship between vector-borne diseases, economic livelihoods, and environmental dynamics. It utilizes both quantitative and qualitative approaches to research, with both being employed throughout the course of the study's fieldwork, data gathering, and analysis. A thorough home survey was conducted, and secondary data were also utilized to meet the needs of this investigation. The home questionnaire survey included a significant sample size. In conclusion, understanding the complex interplay between social livelihoods and vector-borne disease dynamics is critical for designing effective interventions that target vector breeding sites and mitigate the burden of disease.