bluuebunny/crossref_metadata_2025 huggingface dataset:
A Comprehensive Review of Ferromagnetic Liquid Dynamics and Nonlinear Thermal Buoyancy Effects
Authors: Dr T K Sreelakshmi
Published: December 2023

Ferromagnetic liquid is a unique class of fluids that exhibits strong magnetic properties when subjected to a magnetic field. This liquid has been extensively studied in various industrial and scientific applications due to its unique properties such as high thermal conductivity, heat capacity, and electrical conductivity. One of the key phenomena associated with this type of liquid is its nonlinear thermal buoyancy effect, which refers to the motion of the liquid due to variation in temperature caused by a non-uniform magnetic field. In recent years, there has been a growing interest in studying the nonlinear thermal buoyancy effect in ferromagnetic liquids, specifically in the context of heat transport processes.

Non-Fourier heat flux is another crucial aspect of ferromagnetic liquids that has gained considerable attention among researchers. Non-Fourier heat flux is characterized by the deviation from the linear Fourier's law of heat conduction, where the rate of heat transfer is not proportional to the temperature gradient. In ferromagnetic liquids, this phenomenon is mainly attributed to the presence of magnetic fields, which influence the heat transfer processes within the liquid. This nonlinear heat flux behavior has significant implications in a wide range of applications, including heat dissipation, cooling, and thermal insulation.

Radiated elastic surfaces are another key feature of ferromagnetic liquids that has recently emerged as a promising area of research. These surfaces are formed when a magnetic field is applied to a ferromagnetic liquid, resulting in the formation of elastic waves on the surface. These waves are created due to the interaction between the magnetic field and the elastic properties of the liquid. The formation of these surfaces has been observed to have a considerable impact on the heat transfer behavior of the liquid, where they act as efficient heat dissipators and significantly enhance the rate of heat exchange between the liquid and its surroundings.

In summary, the interplay of nonlinear thermal buoyancy, non-Fourier heat flux, and radiated elastic surfaces in ferromagnetic liquids has attracted significant attention in recent years due to its potential for a wide range of practical applications. The understanding of these phenomena has the potential to significantly improve the design and efficiency of various heat transfer processes, making ferromagnetic liquids an important area of study in materials science and engineering. Future research in this field is expected to focus on developing more comprehensive models and experimental techniques to further explore the complex thermal and magnetic interactions in ferromagnetic liquids.
Impact of Organizational Citizenship Behaviour on Employee-Organization Relationships in the Hospitality Industry.
Authors: Mrs. V. Archana,  Dr. S. Hannah Sharon
Published: December 2023

The term Organizational Citizenship Behaviour is used to show positive workplace employee behaviour and their actions in every work inside and outside the organization which is not a formal role component in their job description. The term Organizational Citizenship Behaviour means that employees can do anything beyond the work that is expected. It’s a volunteer task.  To Engage themself in their job with high loyalty, to involve themself in other’s target, help co-workers, and being convenience staff to their customers, and take responsibility for the organization’s problem to solve it. Employee – Organization relationship management is a most significant topic in organizational behaviour. In this 21st century every organization and startup company has to focus on survival and sustainable nurturing in the fierce market competition, every level of the organization must take decisive action to make harmonious circumstances amid employees and continuous successful working conditions for employees. This study focuses on the impact of Organizational Citizenship Behaviour on Employee-Organization Relationships.
Adaptive Systems Theory Analysis of Remote Working: Exploring Productivity, Work-Life Balance, and Collaborative Dynamics among Employees
Authors: Radhika Srinivasa, Aparna T.S
Published: December 2023

Purpose: The purpose of this paper is to study the impact of Remote Working (RW) on productivity, work-life balance, and collaborative working among employees. This paper examines the literature concerning Remote working in the light of employee contribution to the organisation; also examines the literature on Remote Working has impacted other important aspects of employees' personal and professional life.

Methodology:

The paper adopts the qualitative method of analysing the literature concerning Remote Working and its impact on various professional and personal factors. To examine the same Adaptive Systems Theory will be adopted in the study.

Practical Implications:  This study will help businesses to identify Remote Working factors that can negatively and positively influence the productivity of employees and the organisation as a whole.

Originality/Value: The paper will develop a framework that will help organisations understand the impact of RW on individual productivity, work-life balance and collaborative working among employees.
Startups Use Green Marketing Strategies For Exponential Growth: Reality Or Myth
Authors: Dr. B. Thulasipriya, Larisha Janet Rodrigues
Published: December 2023

In the current era of globalization, maintaining consumer loyalty and ensuring the security of the natural environment are the two most important needs. The term "environmental pollution" is frequently used in the business world nowadays. Awareness about the effects of environmental pollution and environmental problems, such as global warming, is increasing among consumers. Green marketing is a sustainable activity and such markets must be safe for the society in both developed and developing nations, including India. This paper examines the myths and facts surrounding the green marketing practices adopted in India.
Measuring Job Satisfaction and Work-Life Balance at Foam Mattings India Ltd., Kerala
Authors: Akshitha Gopan, Lekha Kasmir, Roy Samuel
Published: December 2023

A company's human resources division oversees all matters involving employees. The HR department also keeps up with any new laws dictating how employees should be treated during the hiring, working, and firing processes. A venture of the Kerala government is Foam Mattings India Limited. Fomil offers a variety of products, including mats, door mats, rugs, carpets, car mats, coir tiles, Coir Geo-Textiles, and a number of other environmentally friendly items, to meet the needs of both domestic and foreign markets. Their guiding principle is eco-friendliness, so all of their items are manufactured entirely of natural materials like coir, jute, sisal, cotton, sea grass, flax, paper, and hemp. Over 200 highly competent employees with specialized training are employed in the manufacturing facility in order to guarantee that each and every product that departs is flawless. The paper seeks to assess the quality of work life among the enterprise's employees. A sample of 25 employees was collected for the same purpose. The case study aims to shed light on work quality in the organizational context.
A Study on Quality of Work Life of Employees at Private Hospitals in Chennai
Authors: Mrs. Mahalakshmi G
Published: December 2023

Quality of work life has attracted an ever - increasing interest over the past two decades not only in the areas of health, rehabilitation, disabilities and social services but also in medicine and education.  In the hospital sector, doctors and nurses are the most important personnel and they are fully involved in patient care. It is usually viewed as actual working conditions, including employee compensation, facilities, health and safety issues, participation in decision-making, management approach, workplace diversity and flexibility, etc.  Quality of work life is a multifaceted concept, implying the concern for the members of the hospitals irrespective of the level they belong to. It covers the employee’s perception or feeling above every dimension of work including economic rewards and benefits, security, working conditions, organisational and interpersonal relationships and intrinsic meaning in the person’s life. In this study the Quality of work life of the employees in health sector is analysed. The research is completely based on primary data obtained from different types of employees especially from middle level managers and operational level employees working in various health care sectors in Chennai. The study is conducted among 122 respondents working in various departments in Hospitals in Chennai and the factors influencing work life balance are analysed using Percentage analysis, Chi-Square and ANOVA. The results are then discussed for various suggestions.
Multichannel Success in the Jewellery Industry: Customer Engagement, Market Penetration, and Future Trends
Authors: Dr. B Abirami, Ancy Antony, Meena MV, Meghna Rajan
Published: December 2023

The jewellery industry has witnessed a significant transformation in recent years due to the advent of digital technologies and changing consumer behaviors. In response to these changes, jewellery retailers and brands are increasingly adopting multichannel approaches to engage with customers and enhance their shopping experiences. This review paper explores the concept of a multichannel approach in the context of the jewellery industry, highlighting its key components, benefits, challenges, and future prospects. By analyzing the existing literature and industry practices, this paper aims to provide a comprehensive overview of the multichannel approach in jewellery, offering insights and recommendations for industry professionals and researchers alike.
Transition Towards E - Learning Through Digital Platform - A Special Reference To Faculties In Chennai City
Authors: Dr. S. Elayamurugan, Dr. V. Navaneethakannan, Dr. B. Palani
Published: December 2023

In recent years especially after covid-19 learning would have been done through digital platforms for both students as well as faculties. The emergence of digital platform facilitating the learners to learn at convenient time in a convenient place would impact the transition towards e-learning. In this research the researcher aims to find out the factors influencing the faculties to transit towards e-learning and their satisfaction level of faculties for their learning through digital platforms. 200 questionnaires were distributed to the faculties of Arts & Science College and Engineering College through Google forms in convenience sampling methods within Chennai city. Findings of the study highlighted that the researcher has prioritized the factors which influence the faculties to use digital platforms for their learning.
Determinants Contribute Towards the Increase of Demand for Instant Food Product
Authors: Dr. Rathidevi. R, Jhoncy. A
Published: December 2023

One of a person's fundamental necessities is food. It is necessary for both healthy growth and the proper operation of all bodily parts. In the past few years, there have been significant changes to Indian cuisine and lifestyle. Liberalization, dual income, nuclear families, creative kitchen applications, evolving eating patterns, etc. are some of the elements that have contributed to this shift. They have very little time to cook because they work long hours during the week and spend their weekends, preferably outside the house, with their children. These elements have a significant role in the necessity of prepared food items in people's daily life.The food processing industries have grown as a result of drastically altered eating patterns and an increase in the demand for instant food products. Instant food products are more in demand and the main causes of this are their easier availability, better taste, shorter preparation times, and ease of use. Instant food products are penetrating very fast either in presence of number of brands or due to number of products, effective quality control and awareness generations is essential for gaining future loyalties among the customers.
Effects of Social Media Marketing on Youth Purchase Intention in the online Food ordering Sector
Authors: X. Palin Jeromina, Dr. Preetha. F. James
Published: December 2023

In the digital age, social media platforms have become pervasive in the lives of today’s youth. This study delves into the profound effects of social media marketing on young individuals, examining its influence on their behaviors, attitudes, and perceptions.  Hence, researchers have made an attempt to study the effects of social media marketing among youth on purchase intention. This research paper focuses on finding reasons for growth of online food ordering sector, to highlight the benefits of social media marketing and to exhibit the effects of social media. The sample size for the study was 90. Purposive sampling was used for the study. The study revealed that youth customers are more attracted towards social media marketing Advertisements.
Strengthening Self-Reliance: State Interventions and Their Impact on Kerala’s Self-Employed
Authors: Lekha Kasmir,  Sofia Ahmed Sait, Renjita BR, Akshitha Gopan
Published: December 2023

The paper focuses on the topic of state support for the self-employed in Kerala, examining its relevance to different segments of the self-employed population in light of their need to navigate a dynamic and evolving business environment. The paper takes a descriptive and analytical approach to study the response of beneficiaries to these state-backed initiatives. In today's rapidly changing economic landscape, the self-employed constitute a significant and diverse sector, often facing uncertainties, financial vulnerabilities, and challenges in accessing social safety nets. This paper explores the multifaceted dimensions of state support tailored to the self-employed in Kerala, shedding light on its implications for distinct segments within this group. The study delves into the pivotal role that state support plays in bridging the gap between the self-employed and the evolving business environment. Different segments of the self-employed, such as artisans, street vendors, and freelance professionals, each encounter unique challenges. The paper employs a descriptive approach to outline the varied state interventions, ranging from financial aid and skill development programs to market access initiatives, designed to bolster the resilience of these individuals. Furthermore, the paper employs an analytical lens to investigate the effectiveness of these state measures and their alignment with the needs and aspirations of the self-employed. The findings of this study contribute to the discourse on social policy and economic development, highlighting the importance of targeted state interventions for the self-employed. By shedding light on the successes, limitations, and challenges of existing initiatives, the paper aims to inform policy-makers and stakeholders about refining and enhancing state support for a more inclusive and sustainable self-employed sector.
Spiritual Role Of Transformational Leaders At Workplace.
Authors: A. Ashwini, G. Udayasuriyan
Published: December 2023

The real success of an organization exceedingly influenced by the performance of all levels of employees. which can be influenced by leadership factor and spiritual circumstance in the workplace. This study analyses the fundamental processes and explanatory factors of spiritual qualities that influence how employees behave in respect to transformational leadership.

 Particularly, this study aims to explore the spiritual roles which is paving way to attain the transformational leadership qualities

The technique adapted by the researcher to the study is reviewing the past data’s pertaining to the topic. Numerous academic and popular research papers/literature, magazines, journals, publications, etc., has studied in the context of spiritual role of a transformational leader. secondary data have been employed in this way through the reviewing process.

After reviewing all the factors in every research paper, the author has arrived at the inferences. In this research paper, the significant factors have been discussed which are related to spiritual qualities and the skills of transformational leadership by the researcher. This article strengthens by the previous research work and the study. The factors have been adopted with the help of literatures.

Spiritual qualities of a human can able to transform the well-mannered society in future. Similarly, spiritual character of an employee evolves a person as a transformational leader in the workplace.

Author attempts to cover the significant factors of spiritual qualities and its contribution towards the determined variable of transformational leadership and concludes the validity by stating the association between the independent variable of spiritual qualities and the dependent variable of transformational leadership.

This study has the scope of future orientation where by it highlights several universally accepted factors that stimulates the employee to lead and engage in a workplace and it resulted the transformation in the qualities of leadership at the workplace.
A Study On Workers Effectiveness And Business Performance With Reference To Leadership Style And Their Influence
Authors: Dr. B. Sasikala, Dr. S. Vijaya Kumari
Published: December 2023

The main focus of today’s competitive business environment is leadership. The upliftment of our society through generations has gone through the various leadership styles, yet despite the contributions and investment in leadership development, there is a fall in the qualities of leadership. Leaders create empowering organizational cultures that produce long-term successful outcomes. Organizational performance is more likely to be influenced by the leadership styles and culture prevailing in the environment. Hence, this study examines the influence of leadership styles and organizational culture on the performance of the employees in chemical companies.
Taxation Of Permanent Establishments In Large Conracts, Epc Contracts-Emerging Global Practices In Taxation, Tax Planning, And Way Forward In Digital World–A Perspective
Authors: R. Ravichandran, Dr. Laxman Rao G
Published: December 2023

The imperative of EPC contracts in today’s race to economic development is a key requirement for any organisation across nations. These contracts are specific to the development of economy, and usually have a two part component set up, one being performed outside the state where the project is being executed and the other at the site of the state where the project is getting executed. POEM, Model conventions-OECD and UN,  read with DTAA o determine the formation of a permanent establishment.. EPC contracts are highly competitive and are won against competitive bidding and global tenders, and involve funds flowing into the state where projects are executed, The fund providers practise tax planning, would like to ensure a decent return on capital employed, and avoid the tax effects arising in the process, hence resort to split of contracts, SPV structures which are legally practiced across countries in the globe. The various rulings in different jurisdictions take steps to protect their interests in the process, and evolve rulings which further complicate the position that will be taken by taxman. The authors present the linkages between the tax planning, EPC contract design, different rulings followed across the jurisdictions and look at how the contract are likely to be executed in a digital world in the future. This leads to possible litigation , and more stringent views by Judiciary and novel approaches , structures adopted by the tax payer. The authors also discuss the Post BEPS scenario and how arising of PE may treated in the digital world, in context of Pillar 1 and Pillar 2. All these necessarily demand a substantial amount of planning, involving advisory from reputed tax counsel from external sources. The study is an exploratory study, wherein they attempt to design a framework, bringing out the inter-relationship between the various factors which it is felt will be quite useful in guiding a corporate in structuring of an EPC contract and reducing the risk of facing serious  challenges to the structure from the revenue, and thus aid in area of tax risk mitigation for large projects and bring some clarity to the outcome .
Taxation Of Permanent Establishments In Epc Contracts The Emerging Trends, Rulings, And The Way Forward- Issues Arising And Judicial Views Under Direct Taxes -An Indian Perspective
Authors: R. Ravichandran, Dr. Laxman Rao G
Published: December 2023

The importance of taxation of EPC contracts is critical from the point of view of both the Indian economy, for the contribution it makes to economic growth and development. An EPC contract is composed of two parts Activities done outside the country and Onsite- performed within the country. It involves the participation of many international players, who bring different skill sets, with a separate specific scope, woven into an umbrella contract for the final delivery of a project to the customer, there is a tendency for the taxman to try and tax the contract – treating it mainly as a single, turnkey contract, while the taxpayer tries to reduce the outcome of taxable income. The various motives involved on the part of the taxpayer to reduce the obligations on tax liability to a minimum level, using different arrangements, structures,  sub-contracts, split contracts to subsidiaries, and third-party entities in developing countries are carefully thought out using special tax counsel. The study is exploratory and also examines the past studies in motives, key factors influencing the structure of entity to sub-contract, and rulings by the judiciary at various forums like ITAT, High Court, and Supreme Court and examines the various factors which had determined the decision, as to how it will influence the future of taxation of EPC contracts, with post-BEPS effects and the economy going digital too. The cases involving EPC contracts, the different types of PEs arising in the process, motives to save taxes, reasons for employing SPV structures, the role played by governance, tax counsel and then examine the court cases in the Indian scenario, and draw conclusions as to how it will be going forward in future.
A Study On End User Trends In Online Shopping With Special Reference To Chennai
Authors: Dr. S. Vijaya Kumari, Dr. B. Sasikala
Published: December 2023

One of the most significant changes in online shopping behavior is the rise of mobile shopping. Online shopping has grown significantly in recent years, particularly during the COVID-19 pandemic. Studies have examined the behavior of consumers in various dimensions to understand their perceptions of online shopping behavior. The study found that perceived benefits, ease of use, enjoyment, and social influence have a positive impact on consumers' intention to buy online. However, gender and payment mode did not have a significant moderating role in the study. The research method followed is descriptive research. The data was collected through a questionnaire and the sample size was 213. The convenience sampling method is adopted in the study to collect data. The samples were collected from the general public. The major finding from this research is that factors such as perceived benefits, ease of use, enjoyment, and social influence positively impact consumers' intention to buy online, while gender and payment mode did not have a significant role. These insights can help businesses and e-traders to improve their practices and guide future research.
The Influence of Political Background and Knowledge of Legislative Members about the Budget on Dprd Performance in Regional Financial Oversight with Organizational Commitment as a Moderation of Batam City Dprd Members
Authors: Chablullah Wibisono H.M. Soerya Respationo, Bambang Satriawan,
Published: December 2023

The performance of Batam City DPRD members in supervising local finances is one of the crucial aspects in the context of implementing regional autonomy, and its role is vast to control local financial policies that are economical, efficient, effective and accountable. DPRD members have different educational and occupational backgrounds before becoming DPRD members, so when elected as DPRD members, this limited knowledge and experience will be an obstacle in the supervisory function. This requires relatively more time, weak supervisory functions and knowledge of legislative members are factors that affect the performance of DPRD members in monitoring regional finances influenced by the system personally. The performance of the DPRD in carrying out the duties of the supervisory function must be optimized. This is done to know and identify the allocation of funds in the local government budget in the hope that there will be no misappropriation during budget implementation and produce good performance in supervising local finances. The study population was members of the Batam City DPRD. The sampling technique in this study is non-probability sampling with saturated sample type, obtained a sample of 50 samples from DPRD members of Batam City. The results of this study indicate that political background has a significant effect on the performance of DPRD, legislative knowledge has a significant effect on performance, and organizational commitment can moderate and strengthen the relationship between political background on DPRD performance. Organizational commitment can moderate and enhance the relationship between legislative knowledge on DPRD performance.
Optimization of Fuzzy Sequencing Problems with Heptagonal Fuzzy Numbers
Authors: R. Mahalakshmi M.Ananthanarayanan,
Published: December 2023

Consider the situation of planning 5 occupations to 4 machines, the handling time as Heptagonal fuzzy nos. The fuzzy sequencing numbers is modified into crisp value by utilizing ‘Python’ program. Consequently the ideal succession of the positions is found by using Johnson’s Bellman‘s Algorithm, in which total elapsed time and idle time for each machine is obtained.
Angular Perspectives in Visible Light Communication: Evaluating the Relationship Between LED Viewing Angles and Data Transfer Efficiency
Authors: Modi Akshita
Published: December 2023

Visible Light Communication (VLC) has emerged as a groundbreaking technology, utilizing the vast potential of light to transmit data wirelessly. As the demand for high-speed, secure, and energy-efficient communication systems continues to grow, researchers are turning their attention to optimizing VLC parameters. This article delves into the intricate relationship between LED viewing angles and data transfer efficiency, exploring the angular perspectives that play a pivotal role in enhancing the performance of VLC systems.
Factors Influencing Investment Decision to Invest in a Stock Market: A Survey of Individual Investors across Delhi NCR Region
Authors: Gaurav Dureja, Shivam Soni Sugandha Sharma, Bhavneet Kaur,
Published: December 2023

The study aims to identify factors that influence Investment decision of individuals to invest in a stock market. Three factors i.e natural events, social factors, economic environment factor are used as independent variables while investment decision in stock market taken as dependent variable . This study is fully relied on primary sources of data and a sample of 98 individual investors has been collected through convenience sampling. The structured questionnaire survey was conducted to record which factor affects most while investing in stock market. Regression and correlation analysis was used as statistical tool. The statistically significant model obtained in this study, revealed that the independent variables accounted for 35.6% of the variation in dependent variable. Out of these, Economic Environment Factors and Social Factors turned out to be a significant on depicting influence on the dependent variable considered. Further results highlighted that natural events factors is least influencing factors. the study also a suggest a future research for investment decision making and also propose many useful practical implications to the potential investor and policy maker.
Study on Waste Management Using Regression Analysis in Karnataka, India
Authors: Noor Jahan, R. Murugesan Mahalakshmi, Naveen N., M. Rajeshwari,
Published: December 2023

The waste-process and its intricacy management has obtained high attention in recent years all over the globe and also it causes chain-linked serious environmental and geographical problems. The potential of Multi Linear Regression (MLR)-model helps in prediction of waste-management, the data is differentiated into Waste Disposed in Tonnes (WDT), Waste Recycled Tonne (WRT), Waste Generated Tonne (WGT). These includes overall recycling rate every-year. The article mainly focuses on graphical representation of waste-management and future-prediction of waste-management. This model helps to state the difference between actual-values and predicted-values which gives us a best confirmation. This model can be applicable for each and every waste of state & predict the future-management of wastes. With the help of this model the total waste system can be easily segregated for-future-use.
Deep Neural Network Classifier for Detecting Cotton Plant Diseases Using Antlion Optimization
Authors: V. Narmatha T. Kalaiselvi,
Published: December 2023

Image processing techniques are used to autonomously identify agricultural plant diseases can significantly reduce reliance on farmers for safeguarding crop yields. The classification of cotton leaf diseases presents a formidable challenge. This study introduces a novel approach for classifying Cotton Leaf Diseases, employing an Antlion Optimization (ALO)-enhanced Deep Neural Network (DNN) classifier. The dataset comprises 10,000 images, a combination of directly captured farm field images and downloaded samples, encompassing normal leaves, bacterial blight, Anthracnose, Cercospora leaf spot, and Alternaria diseases. Preprocessing incorporates Wiener filtering to eliminate image noise, while Fuzzy Rough C-Means (FRCM) clustering is employed for diseased and normal portion segmentation. The ALO-augmented DNN achieves an impressive 93.37% accuracy in classifying cotton leaf diseases.
Ecological Intelligence In Environmentally Friendly Agricultural System
Authors: Didi Rukmana SitiMaifaDiapati.B. ,Eymal Bashar Demmalino,
Published: December 2023

This research aimed to detect what kind of ecological intelligence applied by farmers in an environmentally friendly agricultural system in Tana Toa Village, Kajang District, Bulukumba Regency. This study applied a post-positivistic approach with a case study method. Data collection technique relied on observation and in-depth interviews with data analysis technique carried out since the research took place in the field, starting with collecting data optimally, followed by categorizing data, mapping and drawing conclusions. One of the competencies of ecological intelligence is understanding environmental issues and problems from the perspective of ecological balance and sustainability. For the Tana Toa indigenous people, nature is an inseparable part of their survival. For them, nature is not just for daily needs but to maintain the balance of the ecosystem and for ritual purposes. So that indigenous communities remain imbued with actions that prioritize the environment and its balance in everyday life
A Fractional Order Approach in the Eco-epidemiological Model of Sugarcane Grassy Shoot Disease Using Controls
Authors: A. Sabarmathi C. Pooja ,
Published: December 2023

In this paper, an eco-epidemiological model for grassy shoot disease with controls is formed and analyzed using Fractional Differential Equations. The infection-free and endemic equilibriums of the model are obtained. Using the Next generation matrix approach, the basic reproduction number is calculated. The local stability of infection-free equilibrium for integer and fractional order is analyzed. The global stability of the equilibria is found using the Lyapunov function. The sensitive parameters which spread the grassy shoot disease are identified using sensitivity analysis.
Einstein’s Gravitational Field Equations in integral form via Bianchi Identities
Authors: NVN Babu S.M Bhati, Murali G, Ch.Sanjay,
Published: December 2023

The purpose of the paper is to obtain the integral form of the Gravitational Field Equations. In fact, we have shown that the Gravitational Field across the surface S bounding the region V is zero.
A Mathematical Analysis on A Mathematical Model on Stress and Depression among Women
Authors: Naga Soundariya Lakshmi V.S.V. Gnana Priya G. , Sabarmathi A. ,
Published: December 2023

The aim of this research is to construct a model for Stress and Depression among women in India. The feasible values of the variables are obtained by the equilibrium analysis. The local and global stability of the model are analysed. The model is reconstructed with fuzzy parameters whose membership functions are formulated based on online survey of the stress and depression rate of Indian women. The local and global stability conditions are refined in fuzzy environment. Numerical simulations were shown to exhibit the flow of variables and to understand the impact of fuzzy parameter
Statistical Modelling of the Agriculture Variables using Various Regression Techniques
Authors: Naresh Kumar SanjithBharatharajan Nair,  ZuhairAbdulamir Al-Hemyari,
Published: December 2023

A response variable's association with one or more explanatory variables examined and modelled using the strong statistical technique, regression analysis. Regression models used in a variety of ways to estimate agricultural production and area, to assist farmers, academics, and policymakers in making well-informed choices. By revealing information about crop productivity, resource optimization, and risk management, regression models in agriculture help decision-makers. These models support sustainable and effective agricultural operations by exploring connections between different elements and results. The analysis conducted to assess the growth pattern in terms of total cultivated area, production, temperature and humidity. In this study, numerous regression procedures were thoroughly analysed, and the goodness of fit examined. Simple and multiple regression models designed for the study purpose. All simple regression models in this investigation found to match the data satisfactorily, likewise all multiple regression models were in line with the data well. Bootstrap technique also performed to build confidence intervals for regression models’ estimations in order to check the validity of the estimates. All simple and multiple regression estimates found to be valid. All simple and multiple regression models’ estimates found bounded within the 95% bootstrapping confidence limits.
A Comprehensive Review of the Literature on Machine Learning-Based Road Safety Prediction Techniques for Internet of Vehicles (IoV)-Enabled Vehicles
Authors: Munish Kumar Tiwari Amit Manglik,  JN Singh,
Published: December 2023

The goal of this comprehensive assessment of the literature is to ascertain the state-of-the-art in machine learning (ML)-based vehicle safety measure prediction, obstruction estimate, and road traffic analysis the vehicle-related internet (IoV). In particular, we concentrate on confirming the necessity and extent of federated studying in this area. A decentralized machine learning method called federated learning enables numerous edge devices to train a shared model together while storing the data locally. We looked through numerous scholarly databases and a few chosen peer-reviewed papers on the subject. The paper outlines the benefits and future prospects of federated learning in road traffic analysis and vehicle safety while highlighting the current drawbacks and restrictions of the conventional centralized ML systems. In addition, we examined the state of the art studies in federated learning for road traffic analysis at the time and noted any knowledge gaps as well as potential future study areas. The results of this paper show the extent to which federated learning is required in the subject of road traffic analysis and vehicle safety, as well as how it can be used to get around some of the drawbacks of centralized machine learning techniques.
Performance Comparison of Security Level of Cryptosystems by using Machine Learning
Authors: K Rajasekhar G Samuel Joe Victor,
Published: December 2023

Recent developments in multimedia technologies have raised concerns about digital data security. However, many proposed encryption algorithms have been proven insecure over the past few decades, presenting a serious security risk to sensitive data. The best encryption technology should be used as protection against these attacks, but the type of data to be protected will determine the right algorithm in each case. Comparing different encryption systems one by one to find the best one can take a lot of time. We present a security level determination method for image encryption schemes that uses a support vector machine (SVM) for quickly and accurately selection of appropriate encryption algorithms. Furthermore, the dataset uses common cryptographic security techniques including entropy, contrast, homogeneity, peak-signal-to-noise ratio, mean square error, and energy. These variables are used as features for dividing the encryption algorithms extracted from the different images. Depending on the level of security, dataset labels are divided into three groups: weak, acceptable, and strong. The results show the advantage of Support Vector Machine (SVM) and we also improve the performance of the SVM by using XGBoost to improve the performance of our existing model.
A Weighted-Average-Ensembling-Based Hybrid CNN Model for Improved Covid-19 Detection
Authors: Nikhat Raza Khan Sitaram Patel,
Published: December 2023

Background: People are at a much higher risk now because of the new coronavirus that causes COVID-19 disease. The virus is quickly spreading evetywhere in the world. Therefore, it is crucial that we create rapid diagnostic tools to identify infected people and stop the virus from spreading. The development of ML would allow us for early diagnosis of COVID-19.Methods: Since all of the prevalent CNN models are conceptually similar, we advocated for their combined usage. They have learned to infer things on their own. The models are then integrated using a cutting-edge technique called weighted average ensembling to forecast a class value. The new method of assembly should result in a more precise estimate. Our strategy utilises three pre-trained CNN models: DenseNet201, Resnet50V2, and VGG-19. We have also used the Discrete Wavelet Transform (DWT) method for denoising, U-Net for Image segmentation, SMOTE for data balancing, Keras Tuner for hyperparameteroptimisation for better accuracy in result. Findings: when applied to X-ray pictures, our suggested model successfully achieved 99.17\% of accuracy while detecting COVID-19.Novelty and applications: We have modified CNN architecture for batch normalization to avoid covariat shift and used Weighted Average Ensembling to pick best of the results. It is hoped that this study, together with the GUI interface, would allow clinicians to use computer-aided analysis to quickly and accurately identify infected individuals. We anticipate this to be of great use to the medical community.
Estimating Approximate Solutions of Non-Linear Caputo Fractional Differential Equations with Forcing Functions Using Picard's Iteration Method
Authors: Jitendra Panchal Falguni Acharya, Kavita Bhesaniya,
Published: December 2023

The objective of this research is to extend the applicability of Picard's iterative existence and uniqueness theorem in solving non-linear Caputo fractional differential equations of higher order that involve a forcing function satisfying the usual Lipchitz's condition. To demonstrate the effectiveness of our approach, we have presented numerical examples of order α (where 1 < α < 2 and 2 < α < 3) along with the application of the fractional damped duffing oscillator. The solutions obtained through Picard's iterative method are accompanied by graphical representations and some solutions compared with ADM solutions using graphs.
Economical Situation of the M/M/1/κ Markovian Queueing system with Encouraged Incoming and maintained of Reneged Customers
Authors: A.Sridhar H. Saddam Hussain,
Published: December 2023

Today’s businesses all strive to operate smoothly and efficiently in order to meet customer demandand provide the best possible service because of the intense competition. The queuing theory is crucial in this situation. Queueing models can assist businesses in understanding their performance in advance, enabling themto plan effectively for providing seamless and effective customer service as well as long-term sustainability. Businesses entice customers to sign up for the system by offering promotions and discounts. Customers wait even longer in queue to receive services as a result of incentives like discounts.An analysis is conducted on a finite Markovian single-server queuing model with encouraged arrivals, reneging, and retention of reneged customers. Iterative derivation is used to reach the model's steady state solution. Additionally, the queueing model's performance metrics are gathered. As unique example of this model,several significant queuing models are derived. In order to develop a cost model, a model's economic analysis is presented, and a discussion of numerical representation is also included.Customers are added when they are welcomed, which changes the way theybehave in a queueing system.
Analysis of Single Server Queueing System with Encouraged Arrival rate of Customers
Authors: A. Sridhar S. Senthilkumar ,
Published: December 2023

In this study, we explore a queuing system with a single server that facilitates the arrival of Encouraged consumers while limiting server control. For first-time users, the server in this configuration provides three distinct service types (one by one service, bulk service with an accessible collection, and non-accessible collection). To calculate the predicted number of customers waiting in queue, the likelihood of a steady state, and a system of difference differential equation, the Laplace transform is used. The tabular format is used to display the numerical findings.
“Analysis of Stress and Displacement of Simply Supported Symmetric Cross-Ply [0/90/90/0] Square Laminated Composite Plate Under Sinusoidal Loading Using Finite Element Method”
Authors: R. J. Fernandes Mahaboobali Nadaf,
Published: December 2023

Laminated composite plates are widely used in aerospace, military, civil infrastructure, and automotive sectors for their beneficial attributes, such as excellent fatigue resistance, strong yet lightweight construction, and customizable fiber orientation, materials, and stacking patterns. Therefore, it's crucial to analyze deflections and stress levels in these plates.In this current research, a mathematical formulation based on the higher-order deformation theory (HSDT) is employed, featuring 12 degrees of freedom per node. The focus of the analysis involves studying stress and deflection in four-layer symmetric [0/90/90/0] cross-ply laminate plates under sinusoidal loading. The obtained results are then compared with established findings in existing literature. Furthermore, a parametric investigation is conducted, exploring different side-to-thickness ratios at values of a/h equal to 4, 5, 10, 20, 40, 50, and 100. In this research, the finite element analysis was performed with HSDT using MATLAB software. The deflections were subsequently compared to analytical solutions provided by results from Turvey [11].Detailed results are presented in tables, and they exhibit a high degree of agreement with established standard results,with errors of less than 10%.
Remote working – A boon or bane with regards to employee’s performance and job satisfaction
Authors: Balaji. K, Dr. G. Udayasuriyan
Published: December 2023

Remote working became very popular during the early stages of the COVID-19 outbreak and are advantageous in a variety of ways like Possibility to work anywhere, at any time, no travel time or costs, less demands on employees, low operating costs, more flexibility etc. The effects of remote working on employee productivity and performance, however, are not fully understood because research on the topic is scattered and conducted in different situations. Therefore, the goal of this study is to give a systematic review the productivity of employees who were working remotely since COVID-19 pandemic, as well as how remote working impacts their quality of life. Following an extensive literature search, a selection of 18 articles from different databases, including Scopus, Emerald, Google Scholar, and the Web of Science database from 2016 to 2023 were chosen. According to the literature review, there was a decline in employee productivity that might be attributed to working from home, which has both benefits and drawbacks for both employees and the company. The results also show that working from home is often not feasible in all cases because many types of job cannot be done remotely. This study suggests that individuals who are eager to use the remote working concept should increase their technology and information technology (IT) training and capacity-building for increased productivity and job satisfaction.
Human Rights Elements in the Farewell Sermon
Authors: Yasir Bin Ismail Radi
Published: December 2023

The research explores the topic of human rights by analyzing Prophet Muhammad's sermon on the Day of Arafah during his final and only pilgrimage, known as the Farewell Sermon. Advanced countries like Britain, France, and America have claimed to be the first to address and implement human rights in their respective countries.  Therefore, the study aims to identify and analyze the elements of this sermon to extract provisions for individual and collective human rights, as this topic was prominent in the sermon. focuses on whether the religions and states before Islam declared the issue of human rights or whether Islam was the first to call for it. The study used the analytical deductive method to extract the components of human rights from the Prophet's sermon, among other things. The study concluded that the Farewell Sermon is the first international document declared by the Prophet 1400 years ago, indicating that Islam preceded all other religions and states that claim to be the first to declare a system of human rights.
Effect of NOx and Mechanical Efficiency in Single Cylinder Diesel Engine using Multiple Injection of Biodiesel- An Experimental Investigation
Authors: Eknath R. Deore Yogesh Diliprao Sonawane,
Published: December 2023

This research paper investigates the impact of multiple injections of biodiesel, derived from sources such as Karanja seed oil, Cotton seed oil, and Waste cooking oil, on a single-cylinder diesel engine. Through experimentation, it has been observed that the sequential injection of these biodiesel blends results in a significant reduction in nitrogen oxide (NOx) emissions. Simultaneously, mechanical efficiency is found to increase, highlighting the potential for optimizing combustion processes in diesel engines for improved environmental and operational performance. The findings suggest a promising avenue for enhancing the sustainability of diesel engines by leveraging alternative biodiesel sources and injection strategies.