Volume 11 | Issue 9

 Abstract

Global food habit is changing with change in life style for the last few decades. This change is may be due to many factors like liberalization, nuclear family, dual family income, time constraints and various other factors. The people are shifting for their food from fresh agri-product to processed food. This has given a new business opportunity with social uplift, various changes can be observed through the records available on food intake pattern. This study refers to the scenario of food processing industry in West Bengal especially at Haldia Industrial Region.

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 Keywords

Food habit, liberalization, nuclear family, agri-product, processed food, food processing industry

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Machine learning has witnessed remarkable growth and innovation in recent years, revolutionizing various industries worldwide. This paper provides a comprehensive overview of the latest machine learning applications across the globe. We delve into diverse sectors such as healthcare, finance, manufacturing, and more, showcasing how machine learning techniques are being leveraged to solve complex problems, enhance decision-making processes, and drive efficiency. Through case studies and examples, we highlight the transformative impact of machine learning on real-world scenarios and explore the challenges and opportunities in the field. This global perspective offers valuable insights into the current landscape of machine learning applications and serves as a reference for researchers, practitioners, and decision-makers seeking to harness the full potential of this rapidly evolving technology

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system day-to-day, synthetic intelligence, programs, digital global

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The feminist discourse in this paper has been produced regarding the repercussions of COVID-19 and has mostly overlooked these complexities and instead focused on violence against women and caregiving. This has diverted attention away from other crucial issues like the depletion of livelihoods, inadequate food and nutrition, debt, increasing impoverishment, and the usually low resilience of women in developing nations. Even caregiving and domestic violence have subtle nuances that are sometimes ignored. The paper uses examples from India to discuss the different gendered implications we could expect, how much of these has been discovered in past investigations, and the data gaps. Additionally, it raises awareness of the potential for group activities to hasten the economic recovery of women and provide social safeguards against the most severe worldwide effects--approaches that could put us in the direction of effective policy avenues for 'building back better'.

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GENDERED EFFECTS OF COVID-19 PANDEMIC

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An entrepreneur is someone who wants to influence society. He/she produces jobs for society either directly or indirectly by using creativity and innovation. A successful entrepreneur is always seeking for new opportunities and innovative ways to improve product quality. Entrepreneurship environment itself is complex term. The entrepreneurial idea first appears in the 1700s and is widely acknowledged as the key driver of economic growth strategies. Universities in India are making significant contributions to a range of entrepreneurial activities, including conferences focused on entrepreneurship, organised seminars, workshops and distance learning programmes in entrepreneurship, training, and the addition of entrepreneurship as a fundamental subject in their college work. Entrepreneurship is a chance-seeking activity that helps individuals find work and contributes to the resolution of issues like unemployment. India is a growing nation, and its population, particularly graduate students at higher education institutions, has a high percentage of unemployment. From the perspective of globalisation entrepreneurship is a solution for sustainability of a country. Entrepreneurial activity is considered to be planned behaviour. Hence, attitude towards activity, perceived behaviour and subjective norms are three variables of Theory of planned behaviour by Ajzen is implemented in study. The aim of study is assess link between taking commerce course and engaged in entrepreneurial activity as career choice. To measure effect 287 random samples are taken from Surat city. Using hierarchical multiple regression analysis, hypotheses are evaluated. The ordinary least squares method is used to estimate coefficients.

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 Keywords

Entrepreneurs, Entrepreneurship, Entrepreneurship intention, Theory of Planned Behaviour, Start up

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Reactive power management, Grid-connected solar PV systems, STATCOM, SVC, Power quality improvement, Voltage stability, Grid regulations, Renewable energy integration.

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Early in December 2019, the human-to-human infectious disease coronavirus disease 2019 (COVID-19) first appeared and is now a serious threat to public health around the world. The severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) is the culprit behind this respiratory condition. The creation of quick and accurate methods for COVID-19 diagnosis is a crucial step in the fight against infection. To recognize and screen COVID-19 infections, a variety of techniques including genome sequencing, nucleic acid molecular testing, clustered regularly interspaced short palindromic repeats editing technologies, antigen/antibody detection, and computed tomography imaging have been used. Additionally, other cutting-edge diagnostic techniques, like dried blood spots and biosensors, are being created and are listed below. In order to assist researchers in creating timely and efficient technologies to detect this newly emerging virus and its mutations, this publication summarizes the approaches for SARS-CoV-2 detection that are now available.

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syndrome coronavirus type 2 (SARS-CoV-2), coronavirus disease 2019 (COVID-19), in vitro diagnostics (IVD), Enzyme Immunosorbent Assay (EIA), Nucleic acid amplification tests (NAATs), loop-mediated isothermal amplification (LAMP), N protein in Human Coronaviruses (HCoVs).

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????? ?? ?????????? ??????? ?? ?????? ?? ??? ???? ???????? ???? ?? ?????? ?? ?????? ??????? ????? ?? ???? ????????? ?? ????? ???? ??????? ?? ???????? ????? ??????? ????? ?? ??????? ?? ????? ?? ??? ??? ??? ?????? ?? ??? ???? ???, ?? ????? ??? ?????? ???? ?? ??????? ?? ?????? ???? ???????? ?????? ??????? ?? ???? ?? ???? ???? ??? ???? ?????? ?? ????-????? ????? ???? ???????? ??????? ??????? ?? ???????? ?????????? ?? ???????????? ???? ?? ????? ??? ???? ???? / ???? ?? ??????? ?? ??? ?? ???? ?????? ??? ??? ??????? ????? ?? ?????? ???????? ?????? ??? ?? ?? ??, ????????? ??????? ????? ?? ????? ?? ??? ?????? ?? ?? ?????? ???? ?? ??????? ?? ??????? ?? ???????? ????, ????? 1967 ?? ?????? ??? ???? ???? ?????? ??? ?? ???????? ???? ?? 1990 ?? ??? ?? ????? ?? ??????? ?? ???? ??? ??? (???) ???? ?? ??????? ?? ?????? ?? ????? ?? ????? ?? 1.5% ?? ?? ?? ??, ????? 1960 ?? 1987 ?? ??? ????? ??? ???????? ?????? ?? ?????? ???? ?? ??????? ?? ?????? ??? ?? ????? ???? ??? ?????? ???? ?? ??? ?? ???? ???????? ?????? ?? ???? ??????? ??? ???? ?????? ?????????? ?????? ??? ???????? ?? ??? ???? ???, ????? ???? ??????? ?????? ?? ???? ???????? ???? ?? ?????? ?? ?? ???????? ?????? ?? ?? ??? ????? 1960 ?? ??? ?? ?????, ?? ????????? (?????? ?????) ??????? ?? ???????? ?????????? ?? ????????? ?? ??? ??? ???? ?? ?? ?????? ???????? (??), ???????? (?) ?? ????? ???? ???????? ???? ?? ??? ?? ????? ?????? ??? ?? ????? ??? ?? ???? ???? ?? ?????? ?? ??????? ??? '??????????' ???????? ?????? ?? ???????? ?? ??????? ??? ??, ????? ?? ????? ??? ??????? ?? ?????? ??????? ?? ?????? ?? ?????? ???? ??? ?????????? ?????? ????? ?? ????? ?? ???????? ?????? ?? ??? ?????? ???? ?????

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'??????????' ???????? ?????? ?? ???????? ?? ??????? ??? ??, ????? ?? ????? ??? ???????

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Banks operate in a highly globalized, liberalized, privatized and a competitive environment. Indian banking industry has witnessed a tremendous developments due to sweeping changes that are taking place in the Information technology. In today's scenario most of banks offer services through the electronic medium called E-banking. E-banking is creating lot of changes in the banking industry. Though all banking sector are providing e-banking, the main question is whether the customers are aware of all the e-banking services offered by their banks. So, it becomes necessary to study the customer awareness level towards e-banking services. The present study is a modest attempt made to know customer awareness on e-banking services provided by the banks in Coimbatore city. The major tool used for the data collection is questionnaire. For the purpose of the study, required primary data have also been collected along with secondary data. A standard methodology has been adopted and various statistical tools have been used to extract the output.

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E-Banking, Internet Banking, Mobile Banking

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Printmaking, Innovative Experiments, Unconventional Printmaking

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Candidiasis is a common infection of skin, oral, cavity, esophagus, gastrointestinal tract, vagina and vascular systems of humans. The ability of this highly adaptable fungal species to transition from commensal to pathogen is due to a repertoire of virulence factors. Specifically, the ability to switch morphology and form biofilms are properties central to Candida albicans pathogenesis. In past two decades, it has been observed abnormal overgrowth in the gastrointestinal, urinary and respiratory tracts, not only in immunocompromised patients, but also related to nosocomial infections and even in healthy individuals. There are wide variety of causal factors that contribute to yeast infections which means candidiasis is a good example of multifactorial syndrome. This disease transition in the pathophysiology of the onset and progression of infection is also influenced by Candida's virulence traits that lead to the development of candidiasis the disease candidiasis is treated with the drug Fluconazole. In this project I had taken fluconazole as a drug with 10 different similar analogues and 1ea1A as my target protein. Then docking is done at the active site site of the protein by using autodock 1.5.7 version. Then after docking ligands with different binding energies were found out. At the end of this work . I have been screened out one of the analog is with highest binding energy bases on all other binding energy parameters. Finally ligand with PUBCHEM CID-129829800 has highest binding affinity with 8.1kcal/mol among al other similar analogs of Fluconazole

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Fluconazole, molecular docking, Candida albicans, Variconazole, Anti-fungal drugs

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Corporate fraud has negative effects on stakeholders, the stock, the company's workers, investors, and shareholders in addition to damaging the nation's reputation and economy. According to several legal definitions in India, "Fraud" encompasses deliberate fraudulent behavior that is at odds with corporate governance norms. The ease of doing business was given top priority by the legislative branch, which concentrated on more attractive laws to create business opportunities but forgot about the consequences of fraud that could happen and had no laws to prevent it. As a result, the world has seen exponential growth in Corporate Fraud in recent years. This paper discusses various corporate frauds in India and other countries like Satyam scam, IL&FS scam, etc. After the discovery of several corporate scams, which underlined the urgent need for regulation in the corporate governance framework, corporate governance has gained attention in the Indian setting. As of now, there are still some flaws in the Indian model of corporate governance, including the promoter dominance structure, the exclusion of private companies from the framework for corporate governance, the board of directors' accountability, the degree of independence of independent directors, etc. As a result, it is now necessary to examine the assessment in the Indian Corporate Governance Framework as well as the problems and difficulties that are pertinent to the existing system. Against this backdrop, this paper also tried to find out the ways through which these frauds can be prevented in the future and how the corporate Governance framework should be restructured to avoid these frauds in India.

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Corporate Governance, Corporate Fraud, Investor protection, corporate scams, Independent Directors

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Non-Destructive Testing(NDT) is one of the most majority dominant task of well preservation and detection of the construction structural. NDT techniques put up to the destruction liberality worn in the procedure as good as numerous further operations along with preservative schemes of construction. The ensuring learn is concentrating on survey is dominant category of NDT Techniques ;the visual and further ones, which establish extensive relevancy in factual and practical read now a days. The wrapper talk about the sort out the majority wide relevant techniques; namely optical trial, ultrasonic trial, Rebound hammer, carbonation test and Half-cell potential trial. Apart from the fundamental idea trials utilize these techniques, their capable principles in different practical and professional separations are widely debated. The inspection as the group of the NDT techniques produced in the wrapper would be supports in nomination of comparable categories in detection of different methods of structure and flaws and injury happening in these shape.

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Optical NDT methods, Non-Destructive experiment, experiment of structure, Injury recognition.

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Deep learning has revolutionized the field of computer vision, particularly in image recognition tasks. This research paper presents a comprehensive review of various deep learning architectures developed for image recognition tasks. The paper explores the evolution of deep learning models, starting from early convolutional neural networks (CNNs) to the state-of-the-art architectures, highlighting their strengths, weaknesses, and performance on benchmark datasets. Furthermore, the paper analyzes the key components and design choices that have contributed to the success of these architectures in image recognition. It also discusses the challenges and future research directions in this dynamic and rapidly evolving field.

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Image Recognition, image processing

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no abstract

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Nothing

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 Abstract

purva madhykal me jal sansadhan avm sinchai k vividh prkar

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purva madhykal me jal sansadhan avm sinchai k vividh prkar

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Abnormal detection refers to as a result of unusual or exceptional striking activity that may reveal a person or group of people to danger in particular context. There has been an increase in the number of offensive or disruptive activities recently. Because of this, security has been given the utmost importance. If a single person is watching a live CCTV screen more than 20 minutes it can leads to loss 95% of his/her eye vision. Human monitoring of video is very laborious task and requires a work force and their constant attention. To automate this process here we are creating a computer vision-basedsurveillance system to notify users. Video surveillance system plays an important role in keeping indoors and outdoors environment secure. Various surveillance methods were introduced for security purposes. The current advancement in computer vision and machine learning has outstanding role in enabling such intelligent framework. Different algorithms that are specially designed for building smart vision framework seek to understand and build correct semantic inference from observe motion cause by target. This paper addresses an overview most recent research algorithm that focuses on abnormal behavior detection in surveillance application.In this paper we have used YOLO technique and TensorFlow's MoViNettechnique to detect these abnormal activities.

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Video surveillance, Abnormal Detection, Learning Methods, YOLO, MoViNet.

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In the realm of interior design and construction, the selection of the granite slab is a crucial decision. To simplify this process, present a Granite Slab Classification System using images utilizing Convolutional Neural Networks (CNNs) and a Flask-based web interface, capable of categorizing granite slabs into four distinct types: Black Galaxy, SK Blue, Pearl White, and Ruby Red. This system, trained on a dataset comprising 2,505 training images and 751 testing images, offers a swift and precise means of identifying granite slabs based on their visual characteristics. Users can easily access information including granite name, color, price per square foot, availability location, and quality rating through the web interface, empowering professionals in the construction and interior design industry to make informed decisions when selecting granite slabs for their projects, thereby streamlining, and enhancing the selection process. This model demonstrates 97 % accuracy in classifying granite slabs based on their visual characteristics, enabling users to identify their desired granite type swiftly and accurately.

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Granite slabs, convolutional neural networks, Black Galaxy, SK Blue, Peral White and Rudy Red, flask

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This study aims to investigate the influence of green marketing and environmental awareness on the intention to buy electric vehicles (EVs) in Bangalore city. With the growing concerns about climate change and the need for sustainable transportation, EVs have gained significant attention as a greener alternative to traditional fossil fuel-powered vehicles. Understanding the factors that influence consumer's intention to adopt EVs is crucial for promoting their widespread adoption and addressing environmental challenges. The research adopts a quantitative research design and collects data through a structured questionnaire survey. The target population consists of residents in Bangalore city who are potential consumers of EVs. The study employees a convenience sampling technique to select participants, resulting in a sample size of 120. The research examines the relationship between green marketing strategies adopted by EV manufacturers and consumers intention to purchase EVs. It investigates various green marketing dimensions, such as eco-labelling, eco-packaging, and eco-branding, and their impact on consumer's perceptions of EVs environmental benefits. Data analysis will be conducted using statistical techniques such as regression analysis, correlation analysis and mediation analysis. Findings of the study will provide valuable insights in to the factors influencing consumer's intention to buy EVs and the role of green marketing and environmental awareness in shaping their attitude towards sustainable transportation. The results of the research can have significant implications for policy makers. EV manufacturers and marketers in Bangalore city.by understanding the drivers of consumer's intention to buy EVs, policy makers can develop effective strategies to promote EV adoption and encourage sustainable transportation practices. EV manufacturers and marketers can use the insights to design targeted green marketing campaigns that highlight the environmental benefits of EVs and enhance consumer's awareness and perception of these vehicles.

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green marketing, Electrification, Environmental consciousness, sustainability, policy implementation, Renewable energy.

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The focus of this study was three-fold: one was what coerces Filipinos to pursue their job in the State of Qatar utilizing their maximum potential as agents of change; the second was that the security measures done by the Philippine government as it explores the need for migrant workers, and the vulnerability of Filipino workers who did not have adequate work opportunities in the Philippines; finally, this study asserted the work life disputes of Filipino teachers in Qatar which influence their living and working conditions, thus, it offered solutions to improve working. true for skilled and professional. Most of the Filipino teachers in the study were female validating previous studies that the teaching profession is mostly dominated by female. Respondents perceived their leaders to have moderate level of ethical leadership, but they demonstrate high level of selflessness in service. Perceived ethical leadership vary when respondents were grouped according to age, sex, civil status, nature of work, and monthly income. Work challenges varies when grouped according to age, gender, civil status and monthly income. Respondents were prepared in for reintegration in terms of socio-economic aspect and work-related factors.

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Ethical Leadership, work life balance, challenges, Filipino teachers, policy framework

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Temporomandibular disorders (TMDs) cause chronic jaw pain and other symptoms, leading people to seek medical help. Recently, botulinum toxin (BTX) has become popular for TMD treatment. This review aims to assess the effectiveness of BTX in managing TMD symptoms and pain. The review analysed studies that used BTX injections in the lateral pterygoid muscle, a common target for treatment. Despite variations in dosage and injection methods, BTX injections showed effectiveness in reducing click sounds, pain, and TMJ-related muscle disorders.

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Temporomandibular joint, Botulinum toxin, Lateral pterygoid muscle, Temporomandibular disorders

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