bluuebunny/crossref_metadata_2025 huggingface dataset:
Peli-Remo Optimization Algorithm for Reliable routing in MANET: K-means node clustering process and CNN based Energy Prediction
Authors: Seshaiah Merikapudi Tabassum Ara, Shwetha V , Bhagwant Deshpande,
Published: December 2023

MANET, an ad hoc wireless network is made up of several nodes connected, governed by certain rules for packet movement from one node point to another. The structure of communication may be designed using a variety of protocols. For an ad hoc network, routing protocols are used to manage the connections. It must manage several issues, including supporting mobile devices and reducing overhead when nodes only have access to a portion of the resources. In order to improve the communication, this article suggests an effective MANET cluster-based routing paradigm for multimedia communication. The clustering process is started using the K-means clustering method. The Deep Convolutional Neural Network (DCNN) model will first predict the node energy. The cluster head will be chosen using the Hybrid Remora with Pelicon Optimization technique (HRPOA), that integrates the Remora optimization technique and the Pelican optimization algorithm. Further, reliable retransmission will increase the communication's reliability.
Support for Artificial Intelligence and PHM in Military Intelligent Equipment Artificial Intelligence
Authors: Himanshu Mittal Munish Kumar Tiwari,  Raj Kumar,
Published: December 2023

The implementation framework, key technologies, and guarantee decision-making methods for AI-based military intelligent equipment are studied in order to address the issues of low intelligence and networking in predictive maintenance of military intelligent equipment as well as difficulty in physical model modeling.The PHM system architecture is integrated into the construction of the health management of military intelligent equipment, which benefits from AI's exceptional capabilities of communication throughout the entire network, pan-awareness, and self-learning. The technology makes it possible to manage the health of military intelligent equipment in a data-driven, intelligent, and networked manner. This paper offers references and references for military intelligent equipment support that is appropriate for challenging circumstances, lowers maintenance and operating costs, and consistently raises the bar for military intelligent equipment support. This research paper’s goal is to examine how AIT is used in mechanical electrical control systems (MECS). This article first introduces the fundamental theories and concepts of AIT, then develops the core technology of AIT, combines the current state of our nation's modern enterprises' electrical control systems to discuss the issues they are currently facing, and finally studies and analyzes AIT and machinery. Discuss the use of AIT in mechanical electrical orifice subsystems and the combination of electrical control systems.
Consumer Online Behavior Analysis and CRISP-DM Process Model Development
Authors: Munish Kumar Tiwari Amit Manglik,  JN Singh,
Published: December 2023

Understanding the behavior of a company's customers forms the cornerstone of modern marketing. Data analysis is penetrated by cutting-edge artificial intelligence techniques like data mining and machine learning. These techniques can be used in a variety of businesses and for online sales of any type of commodity in big volumes. They are frequently employed in the sale of clothing, computers, and electronics. However, they can also be used in the B2B as well as B2C sales of seeds, agricultural goods, or agricultural machinery in the agricultural sector. A selling company might gain competitive advantages or higher profits by combining the right offers and customer knowledge. Our study's major objective is to create a CRISP-DM process model that will let small firms examine the behavior of their online clients. We analyze the online sales data using machine learning techniques including clustering, decision trees, and association rules mining to achieve the main objective. The usage of the proposed model in the area of online sales in the agriculture sector is discussed after the proposed model has been evaluated.
Atrial Fibrillation Detection Through ML Approach: A Comparitive Study
Authors: Rosy Madaan Poonam Chhabra,
Published: December 2023

Atrial Fibrillation (AF) is a common “cardiac arrhythmia” with significant health implications. Traditional AF detection methods have limitations in continuous monitoring and data analysis. The emergence of machine learning (ML) offers promising solutions for accurate and timely AF detection. This study aims to explore and evaluate various ML techniques for AF detection, considering data quality, clinical validation, and algorithm performance. A diverse dataset of ECG signals and patient information is collected and pre-processed for training and testing ML models. The study implements supervised and unsupervised learning algorithms, deep learning (DL) architectures, and ensemble methods to compare their effectiveness in AF detection. Results demonstrate the potential of ML-based AF detection to revolutionize diagnosis and management, leading to improved patient care and healthcare outcomes in cardiology. The results of our comparative study demonstrate that all ML approaches achieved impressive results in detecting AF from ECG signals. “The logistic regression classifier achieved an accuracy of 92.48% and sensitivity of 91.89%. The Naïve Bayes classifier achieved an accuracy of 90.26% and sensitivity of 89.27%. The SVM classifier achieved an accuracy of 93.87% and sensitivity of 92.43%. The Decision tree achieved an accuracy of 93.87% and sensitivity of 90.63%. Finally, the Random Forest model attained an accuracy of 95.8% and sensitivity of 92.88%”.
An Ayurvedic Management of Kitibha Kustha with special reference to Psoriasis
Authors: Dr Anbuselvam A, Dr Manu R, Dr Janhavi Patharkar
Published: December 2023

Background: Psoriasis is a chronic autoimmune condition marked by elevated patches of unusual skin that are red, pink, or purple in color. These patches are dry, itchy, and covered in scales. The severity of psoriasis ranges from minor, limited areas to affecting the entire body. In recent years, the prevalence of psoriasis has increased. Factors like excessive cosmetic use, unhealthy dietary patterns, unprotected exposure to pesticides, nutritional deficiencies, psychological stress, and sedentary behavior are common lifestyle alterations that might contribute to this condition. Case: A 49-year-old male patient suffering from 5 years visited the hospital for treatment.  From an Ayurvedic perspective, we can compare the disease with Kitibha kustha (a type of skin lesion) because most of its symptoms mimic the signs and symptoms of Plaque psoriasis. Conclusion: Even though plaque psoriasis is very difficult to treat, a thorough assessment of pathogenesis, proper Shodhana (purification), Shamana (pacifying therapy), and rasayana (rejuvenation therapy) have proven to be effective along with a swinging decrease of PASI, and DLQI from 36.8, 12 to 3.2 and 2.
Comparative Analysis of Performance Management Systems in the Softare Industry: A Study across Public and Private Sectors
Authors: Dr Meenakshi Sharma, Ritu Bishnoi
Published: December 2023

While steering organizational objectives, the performance management system involves overseeing employees, commencing with the allocation of duties and responsibilities. Nowadays, employees strive to swiftly advance their careers, prompting organizations to offer developmental opportunities to attract and retain talent. In the software industry, organizational success hinges on the efficient and effective contributions of employees, a balance upheld by an adept performance management system. Serving as a crucial tool, this system ensures organizational triumph by cultivating employees to meet both individual and collective goals. The current study seeks to discern variations in the performance management systems of public and private sector software organizations.
Comparative Study of Various Fibers in Concrete Subjected to Elevated Temperatures
Authors: Nakul N, Dr. Y. M. Manjunath
Published: December 2023

In this paper fiber reinforced concrete is a two-phase material consisting of a matrix which is reinforced with randomly oriented small diameter fibers to improve the mechanical properties of the matrix. It increases the tensile strength of the concrete. Two types of fibers have been used in this paper i.e steel fiber and glass fiber. Steel fiber reinforced concrete is a homogeneous distribution of randomly oriented discontinuous and discrete steel fibers. It is available in the forms of Carbon steel or stainless steel. It has a high tensile and compressive strength. The Glass fibers are formed by drawing the molten material rapidly from a melted batch in a crucible or furnace. Glass fibers do not have a negative effect on the well-known high compressive strength of concrete. Thus, it shows that the fiber reinforced concrete is in good workable condition rather than without super plasticizer. The addition of 2% steel fiber and 0.5% -1% of glass fiber in concrete is found to be optimum as well as effective and economical as it gives good compression, tensile, and flexural strength for the concrete. Carbon fiber is composed of carbon atoms bonded together to form a long chain. The fibers are extremely stiff, strong, and light, and are used in many processes to create excellent building materials. Carbon fiber material comes in a variety of "raw" building-blocks, including yarns, uni-directional, weaves, braids, and several others, which are in turn used to create composite parts. The properties of a carbon fiber part are close to that of steel and the weight is close to that of plastic. Thus, the strength to weight of a carbon fiber part is much higher than either steel or plastic (Polyvinyl alcohol) (PVA) is well known as a synthetic biodegradable polymer and possesses excellent mechanical properties. PVA “displays strong interaction with carbon nanotubes” (CNTs), resulting in exceptional properties that are not found in another polymer
The Relationship between MSP of Wheat and Domestic Market Price with the Wheat Export of India: An ARDL Approach
Authors: Utpal Baishya
Published: December 2023

The paper studies the long-run and short-run relationships between the minimum support price (MSP) of wheat and the export of wheat from India and between the domestic market price and the Indian export of wheat using the autoregressive distributed lag (ARDL) method for the period of 2002 to 2019. The weighted average price (WAP) of wheat is taken as a proxy for the domestic market price at the national level. The empirical result suggests that there is no significant long-run and short-run relationship between MSP and domestic market price on the level of wheat exports in India. To a certain extent, the present level of exports of wheat is explained by the previous year's export level. Any disruption in the long-run equilibrium is corrected by nearly 40% per year. So the results suggest that other explanatory variables determining wheat export need to be addressed carefully to gain a large share in the international wheat market.
Evaluating The Data Analytics For Finance And Insurance Sectors For Industry 4.0
Authors: Surendranadha Reddy Byrapu Reddy
Published: December 2023

The insurance industry relies heavily on statistics, despite the absence of a physical good or service being sold. A financial, risk, consumer, producer, and actuarial database would be created by such an industry. In prior decades, these sectors gathered structured data that they augmented with product and policyholder details. However, semi- and unstructured data represent a massive untapped resource. This will also prevent the insurance from making the most of the information it collects. Despite the striking similarities between healthcare delivery and insurance funding, life insurer problems have hampered the field for the better part of a century. Organizations that need both unstructured and structured data to flourish can find the optimal places to store both types of data according to research. The insurance industry may make better use of data with the help of applied analytics. The insurance industry is also discussed in relation to big data adoption techniques such as training, research, collaboration, and implementation. Several models of the data adoption and transformation methods that contribute to the insurance sector's extraordinary data analysis and forecasting abilities are shown in this article, which delves into the data transformation practises of the insurance business. Healthcare delivery systems need to be overhauled for "Big Data Analytics" to be of any real use. The purpose of this study is to investigate the ways in which modern data management has changed the insurance sector, as well as the traits and applications that have paved the way for the emergence of cutting-edge tools and the expansion of the economy.
The Impact of Big Data Analytics Capability and Strategic Marketing on SMEs performance: Required Strategyand Capability
Authors: Haim Hilman RabahSeddaoui, ShahmirSivaraj Abdullah, Shuhymee Ahmad,
Published: December 2023

Big data analytics capability (BDAC) has become a significant focus of investigation within the academic and professional realms. Despite the escalating potential value attributed to BDAC, there remains a notable dearth of studies exploring its influence on firm performance. In this ongoing research, we aim to address this gap by examining the impact of BDAC on various dimensions: BDA management capability, BDA technology capability and BDA talent capability, aligning them with marketing strategic concepts. We aim to provide a comprehensive concept of overall BDA Capability. Through the lens of dynamic capability theory, our study posits that BDA capability affects performance of firms, with strategic marketing acting as a mediating factor. This study builds upon previous research, offering novel contributions, particularly in the domain of strategy and its interconnectedness with BDA. The findings of this research not only elucidate the crucial components of BDA capability and their impact on firm performance but also offer practical insights that can serve as a roadmap, bridging the expectations of managers regarding BDA with the actual implementation of BDAC within marketing strategies.
Application of Bentonite on Dune Sand to Decrease its Permeability
Authors: Dr. Mayank Dave
Published: December 2023

Various Experiments were conducted to find the effectiveness of bentonites in reducing the losses, majorly seepage from the minor canals and the streams in the Rajasthan sand dunes region. When 1 to 5 percent bentonite was mixed in the dune sand available in western Rajasthan it resulted in the loss of 5 to 50 in permeability when it was compacted properly at the present optimum moisture content.
Analysis and Design of Pyrolysis Plant for Islampur City
Authors: Shridhar Kumbhar, Sagar Kolekar
Published: December 2023

Plastic waste has enduring life and currently, Islampur Municipality does not have any treatment technology for the disposal of plastic waste. 1.2 tonnes of plastic waste are dumped in the dumping yard every day. The 16 acres of dumping yard are filled (85%) with earlier dumped Municipal solid waste. There are 6 technologies invented by researchers for effective plastic waste disposal. In this paper, these methods are compared and the suitability of pyrolysis technology is analysed and designed for Islampur City. The main purpose is to dispose of plastic waste in an eco-friendly way and obtain products that will prove harmless to the environment.
Comparison of Handwriting of Accustomed and Unaccustomed Hand of Individuals and Ascertaining Their Identifiable Parameters
Authors: Varsha Yadav Jitender Singh Parmar, Bhoopesh Kumar Sharma,
Published: December 2023

In an effort to conceal their identity, writers often try to change their usual handwriting to disguise. Many times, a master disguise is created through the act of writing with an unaccustomed hand. Due to a sudden loss of pen control and motor skills, the handwriting's pictorial appearance changes in disguise to the point where the writers assume success and becomes convinced that the disguised handwriting, they have produced cannot be linked to them when compared to their typical genuine writing style. In the present study, samples of handwriting from a number of people were collected, both from their accustomed and their unaccustomed hand. An effort was made to identify those individual features that managed to withstand the dangers of disguise and could be useful in correctly ascertaining the authorship of such disguised handwriting in comparison to one's normal handwriting. A detailed study of spacing between the letters and words, specific connecting stroke, certain letters formation and most importantly the positioning of the signatures below the paragraph written by selected subjects has been carried out. Despite pictorial dissimilarities, it has been observed that, there are some subconscious characteristics that are rarely concealed and may serve as the basis for their relationship with a particular writer or serve as an idea for future research.
Web-Based Technology Interventions for Social Change: Insights from NGOs in Assam
Authors: Jerry Thomas Meghna Bharadwaj, Nirupama Prakash,
Published: December 2023

The widespread adoption of web-based technology has presented nonprofit organizations with unparalleled prospects to augment their reach, efficacy, and influence in their endeavour to effect social transformation. With an emphasis on the Assamese environment in India, this qualitative research paper explores the field of web-based technology interventions in the non-profit sector. This study investigates the manner in which web-based technologies are used to further social causes, the difficulties encountered in their implementation, and the ensuing effects on local populations through a detailed analysis of NGOs functioning in Assam. Using a combination of in-depth interviews, surveys, and content analysis of social media and NGO websites, this study presents important new findings about the uptake and modification of web-based technologies in the Assamese charity sector. Results show that web-based tools are being used by NGOs in Assam for a variety of objectives, such as advocacy, fundraising, community mobilization, and capacity building. The reach of social programs has increased, transparency has improved, and greater involvement with stakeholders has been made possible by these interventions. The paper, however, also highlight the difficulties that NGOs in Assam confront, including low levels of digital literacy, resource limitations, and connectivity problems. These obstacles highlight the necessity of specialized tactics and safety nets in order to optimize the advantages of web-based technology interventions. In the end, this research study illuminates the potential of web-based technology to spur social change and offers insightful information about the changing terrain of non-profit activity in Assam. It emphasizes the significance of collaboration, capacity building, and context-specific techniques in guaranteeing that NGOs effectively utilize web-based technology interventions for the betterment of society in Assam and beyond.
Pedagogical Basis of Historical, Philosophical and Religious Views in Ensuring Family Stability
Authors: Yulchiyeva Vildora Khabibullayevna Egamberdieva Nodira Melibaevna ,
Published: December 2023

This article discusses the pedagogical foundations of historical, philosophical and religious views in the development of the Uzbek family. Valuable opinions, advice and guidance of scientists on the formation and development of the family are given.The problem of ensuring stable social relations in the family today is one of the complex, interdisciplinary problems. Its theoretical and methodological basis is represented by general social psychological, pedagogical, philosophical research, as well as sociological works.As a result of the development of individual factors, such as mutual trust, respect for family members, unity in raising children, the desire to live together all their lives through psychological preparation, proposals are considered based on the creation of sustainable social relations in families. an important factor in the development and progress of the family in all directions.
The Connection of Assessment Criteria with National Culture
Authors: Jabbarovna Sulaymanova Nilufar
Published: December 2023

The article emphasizes the importance of determining the degree to which the subject's opinions correspond to objective reality during interpersonal communication, the importance of "looking with a critical eye" in the rational assessment of the problems that arise, critical attitude along with objective reality, dedicated to the evaluation of actions.
Results of a Subjective Hearing Study in Patients with Meniere’s Disease
Authors: M.B. Tukhtaev S.S. Arifov,
Published: December 2023

The aim of the study was to evaluate the results of a subjective study of hearing in patients with Meniere's disease. A total of 518 patients with a reliable or confirmed diagnosis of Meniere's disease were under observation, which made up the main group. The results of the study showed that patients with Meniere's disease have reduced hearing, and therefore require a more detailed study of hearing.
Impact of Geometric Parameters on Spring-Back Deformation in Double-Layer Metal Sheet Bending with an L-Shaped Die
Authors: Vuong Pham Hoang-
Published: December 2023

This study delves into the intricate dynamics of the return deformation process in double-layer metal sheet stamping on an L-shaped die, focusing on the pivotal influence of punch and die size parameters. The specific parameters under scrutiny include die radius, die clearance, and plate length. Employing a comprehensive methodology, this research conducts finite element simulations using Abaqus software, ensuring both data collection requirements and implementation feasibility are met. The simulation results are rigorously compared with the published data from a seminal comparative study [1], providing a critical point of reference for analysis. The findings of this investigation illuminate a profound similarity in the impact of three critical parameters, namely die radius, degree of mold opening, and plate length, on the degree of spring-back deformation in the L-bending of SPCC double-layer materials. This outcome not only substantiates and extends the existing body of knowledge but also offers novel insights into the interplay of these parameters in the double-layer metal sheet stamping process, thus contributing significantly to the field of manufacturing and process optimization.
Exploring The Effects of Conversational Marketing and Artificial Intelligence on Customer Engagement - A Comprehensive Literature Review."
Authors: Dr. R. Bhagyalakshmi, Ms. G. Shehnaz Begam
Published: December 2023

This comprehensive literature review delves into the multifaceted realm of customer engagement through the lens of Conversational Marketing and Artificial Intelligence (AI). In an era characterized by digital transformation, businesses are increasingly reliant on innovative strategies to engage customers effectively. The study aims to provide an in-depth exploration of the existing body of research about Conversational Marketing and AI, with a focus on their combined impact on customer engagement.

The literature review begins by examining the current state of research in Conversational Marketing and AI, identifying key findings and emerging trends. It then extends its focus to the practical implications of these technologies, delving into their application in enhancing customer engagement. The unique challenges and opportunities posed by Conversational Marketing and AI are analysed, paying special attention to the cultural and linguistic factors that shape the customer engagement landscape.

The study not only offers valuable insights for businesses seeking to optimize their customer engagement strategies but also provides a foundation for policymakers and researchers interested in the ethical, regulatory, and future research considerations surrounding Conversational Marketing and AI. By shedding light on the dynamic interplay between technology and customer engagement, this literature review contributes to a deeper understanding of the evolving customer-business relationship in an increasingly digital world.
Customers' Perceptions of LIC: An Empirical Study on Chennai City
Authors: S. Suthakar, T. Ragunathan
Published: December 2023

The current study is commenced to realize the customers’ perception level of Life Insurance Corporation in Chennai city. The research will be helpful to finding out the perception level of the customers to selection of life insurance products.  First and foremost, in his life is to obtain him/her so the life insurance helps a lot. At present there are several insurance companies, and the public limited companies are the top invest to make protection of the amount and the life of a person. Insurance companies play a part of a crucial role in the prosperity of human well-being by offering protection to millions of people alongside life risks such as indeterminate death or accident. Data was collected with the help of well-defined questionnaire. The statistical technique has been used for the analysis are descriptive and percentage analysis.
Opportunities and Challenges of Social Entrepreneurship in the Present Era
Authors: Dr. Satpal
Published: December 2023

The concept of social entrepreneurship has gained significant attention in recent years, as it offers a unique approach to addressing complex societal issues. Social entrepreneurship is a form of entrepreneurship that aims to create social and environmental impact alongside financial sustainability. It involves the use of entrepreneurial principles and practices to create innovative solutions to social and environmental problems. India, as a developing country, faces a wide range of social and environmental challenges, such as poverty, lack of access to education, healthcare, and basic services, environmental degradation, and climate change. In this context, social entrepreneurship has emerged as a powerful tool for addressing these challenges, creating employment opportunities, and promoting sustainable development. The present study aims to analyse the various challenges & opportunities of Social entrepreneurship in India.
Monophonic Polynomial of the cartesian product of some graphs
Authors: P.Arul Paul Sudhahar, W.Jebi
Published: December 2023

Let  be the family of monophonic sets of a graph  with cardinality  and let  Then the monophonic polynomial of  is defined as , where  is the monophonic number of . In this paper we have determined the sufficient condition for the monophonic set of . Also, we have calculated the monophonic polynomial of the cartesian product of some specific graphs by generating function method.
On Irresolute Generalized b-a -topological Group
Authors: R. Rama vani, R.Selvi
Published: December 2023

In this paper, we introduce and study two types of topological groups namely  irresolute generalized b-a-topological group and Irr--b-a topological group. Also, some basic concepts and results related to the above two topological groups are studied.
The Role of Law in the Development of Renewable Energy and Energy Conservation
Authors: Maria Grasia Sari Soetopo
Published: December 2023

As a participant of the Paris Agreement, Indonesia is obliged to carry out its obligations to reduce emission levels in its territory. An effort carried out by the Government is through the development and utilization of new, renewable energy and energy conservation. However, the said policy has not been implemented optimally. This article aims to analyze the role of law in optimizing policies in the field of new, renewable energy and energy conservation. This article was prepared using normative legal study through statutory and conceptual approach. The results of this research show that the current legal system has not been able to support new, renewable energy and energy conservation policies. One of the problems faced is business licensing, which occurs as a result of problems in every aspect of the legal system. Therefore, the Government needs to established policies through harmonization of regulations, increase capacity of the licensing system and its supporting elements, as well as increase the role of superiors and supervisors to create a business licensing system to achieve policy targets.
A Comparative Analysis of Cryptocurrency Legal Frameworks in the United States and the European Union
Authors: Parth Jitendrabhai Thakkar, Dr. Ruchi Tiwari
Published: December 2023

Cryptocurrencies have changed the way the world's finances work. They are challenging standard financial systems and bringing up a lot of legal and regulatory issues. The legal systems that govern cryptocurrencies in the United States and the European Union are compared in this study paper. The first part of the study looks at how cryptocurrencies have changed over time, showing how important they are becoming in the digital market. It then looks at the legal and regulatory problems that have come up in the bitcoin space. It also looks at the legal systems that are already in place in the US and the EU. In the US, the study looks at both federal rules and the part that each state plays in making bitcoin policies. A number of important court decisions involving cryptocurrencies are looked at to give some background. In the European Union, the study looks at both EU-wide rules and the different ways that different member states handle things. Important court cases in the EU are also looked at to get a sense of the governing environment in the area. Comparative research is the most important part of this study because it shows how the US and the EU regulate cryptocurrencies and what their main similarities and differences are. We look closely at how these differences in regulation affect the cryptocurrency industry, the compliance problems companies in both regions face, and new regulatory trends. In the US and the EU, cryptocurrency laws are changing all the time. This study shows how these laws work and what they mean for lawmakers, businesses, and researchers. This study shows how important it is for countries to agree on how to regulate cryptocurrencies so that the ecosystem can grow safely and continue to grow.
Context-based Adaptive Binary Arithmetic Coding (CABAC): Design and Implementation Using a Multi-Symbol Binary Arithmetic Coder
Authors: B. Keerthi Priya, B. Kalyan Chakravarthy
Published: December 2023

The most recent standard for encoding video, known as H.265/MPEG-HEVC, achieves a rise in coding efficiency that is fifty percent higher than that of its predecessor, known as H.264/MPEG-AVC. High-resolution video coding (such as 4K, 8K, etc.) has attracted considerable interest since it was anticipated that H.265/MPEG-HEVC will end up replacing practically all current H.264/MPEG-AVC codecs. Video compression is a crucial method, especially in this day and age where greater quality and quicker frame-rate video are in high demand. There are other video compression algorithms available today, but the H.265 standard is one of the most well-known and widely utilized. The standard's last stage is the construction of a binary arithmetic coding algorithm that employs arithmetic coding theory principles to accomplish efficient encoding of the produced information. Binary arithmetic coding (BAC) is an important component of modern video compression techniques. A novel BAC method is examined in this work to demonstrate the feasibility of breaking the dependency of bin-bin in the refreshing of range and low registers. It is suggested to create new dataflow. The design implementation is performed using the Modelsim tool.
An Analysis For Early Diagnosis To Detect Ovarian Cancer
Authors: P. Thenmozhi, Dr. T. Parimalam
Published: December 2023

Ovarian cancer stands as the primary cause of mortality among gynecological cancers, creating an urgent need for innovative therapies. Despite the established correlation between the presence of tumor-infiltrating lymphocytes and improved prognosis, the integration of immunotherapy into the ovarian cancer treatment arsenal has not yet occurred. Over the past decades, extensive research has been dedicated to identifying early signs of ovarian cancer. Recognized as the "silent killer," ovarian cancer often remains asymptomatic in its early stages, leading to late-stage discoveries and poor prognosis. Early detection is pivotal for timely intervention based on symptomatic manifestations. Various categorization systems have been employed for ovarian tumor diagnosis, encompassing non-molecular factors such as tumor tissue, clinical stage, and pathological characteristics. These factors contribute to a comprehensive understanding of the intricate nature of cancer, guiding the development of effective therapeutic approaches. This review paper briefly outlines the preprocessing, feature extraction, and classification methodologies employed in the analysis of ovarian cancer across various studies from 2018 to 2023, encompassing several research papers.
Optimal Scheduling of Renewable Sources Based Micro grid with PV and Battery Storage Using Giant Trevally Optimizer
Authors: Subrat Bhol, Nakul Charan Sahu, Subash Ranjan Kabat
Published: December 2023

This paper proposes a Giant trevally optimizer (GTO) for the optimal scheduling of a hybrid power system. This hybrid power system encompasses multiple renewable energy sources, including photovoltaic (PV) panels, wind turbines (WT), fuel cells (FC), micro turbines (MT), and a battery energy storage system (BESS). The primary objective of this method is to minimize the overall operating cost of a grid-connected micro grid while enhancing the accuracy and efficiency of the energy management system. GTO method is used to analyses the generation, storage, and response load options in order to resolve the economic dispatch difficulties. To manage with the optimal energy management of the grid connected micro grid with a high degree of uncertainties, a GTO algorithm is employed.  Subsequently, the performance of this proposed technique is assessed using the MATLAB Simulink platform and compared against several existing methodologies. Notably, the proposed method yields a cost value of 270, which is notably lower than the costs associated with other existing approaches.
Effects of Isolated and Combined Strength and Yogic Programme on Corporeal, Physiological and Skill Performance Variables Among College Cricket Players
Authors: Dr. Sathuluri Raju, Dr. Kunche Usharani,  Dr. S. Saraboji
Published: December 2023

Cricket performance is known to be influenced by skills to overall development. Present, training sessions typically involve fielding-specific drills and conditioning exercises. Scientific evidence for inclusion of a comprehensive yoga involvement in daily training and exercise sessions remains unknown. The present explored the effects of isolated and combined strength and yogic programme on corporeal, physiological and skill performance in cricket players. The study were conducted among60 male college cricket player aged 18 to 25 years. The fitness and skill performance was evaluated to physical fitness variables as speed, physiological variables VO2 Max Skill Performance Skills cricket batting before the training and after 8 weeks of training. The subjects were randomly assigned into four groups, namely strength training group, yogic training group, combined strength and yogic training and control group. Statistically significant improvements in baseline scores in speed, physiological variables VO2 Max Skill Performance Skills cricket batting were comparable between the three groups of college cricket players. Speed improved by 6.68 in strength group, 6.83 in the yoga group 6.78 combined strength and yoga group 73.26in the control group. VO2 Max improved by 74.03in strength group, 72.20in the yoga group 6.78 combined strength and yoga group 69.89in the control group. Batting ability improved by 8.05in strength group, 6.28in the yoga group 7.33 combined strength and yoga group 4.98in the control group additional research on long-duration intervention in elite players may help to establish the role of yoga in conventional cricket-batting ability for training.
The Impact of Digital Payments on Consumer Spending Habits
Authors: Dr. G. Bhoopathy, P. Kanagaraj
Published: December 2023

The transition to digital payments has significantly transformed consumer spending habits. With the ease of mobile wallets, online banking, and contactless payments, consumers are increasingly embracing cashless transactions. This shift has not only streamlined the payment process but also encouraged more frequent and impulsive purchases. Additionally, the ability to track and manage expenses in real-time has led to greater financial awareness, promoting responsible spending. While digital payments offer convenience, they also raise concerns about privacy and security. In sum, the impact of digital payments on consumer spending habits is a complex interplay of convenience, financial management, and security considerations.
Study On Digitalization Of Banking In Rural Areas Of Haryana
Authors: Anjali Saroha, Dr. Laxmi
Published: December 2023

With the goal of bridging the urban-rural gap and advancing financial inclusion, the digitalization of banking in Haryana's rural areas signifies a revolutionary shift in financial services. The application and effects of digital banking technologies in these areas are examined in this abstract. Banking institutions have improved access to financial products for rural inhabitants by utilising technical improvements to offer internet-based services, digital payment systems, and mobile banking. These initiatives aim to overcome geographical limitations. The implementation of digital banking in rural regions of Haryana has yielded encouraging results, enabling people through secure and convenient banking transactions, decreasing reliance on physical branches, and stimulating economic growth.  One significant technique in the international banking system is digital banking. This paper examines senior citizens who encounter numerous difficulties when using digital banking, using the state of Haryana as a case study. In order to investigate the issues elderly adults have when utilising digital banking, 200 samples are gathered from the senior population. The participants in the study had to respond to 5 questions. Our qualitative research showed that older people had issues with digital banking.
A Technological Management on Automotive Wheel-Cylinder Leakage System
Authors: Petallo Jr. Ernesto L.
Published: December 2023

The research was conducted at Iloilo Science and Technology University in the Philippines to evaluate the acceptability and effectiveness of an innovative wheel-cylinder leakage system model in automotive technology management during the academic year 2021-2022. The study involved students, instructors, and industry experts who evaluated the device's effectiveness, quality, safety awareness, and health. A quasi-experiment method, specifically survey research, was used, with questionnaires given to first and second-year Bachelor of Industrial Technology students, instructors, supervisors, managers, technicians, and operators. The data was analysed using total weighted points, weighted mean, and correlation. The findings indicate that the model meets the Automotive Engineering Association standards for industries and is highly effective in acceptability, effectiveness, safety awareness, and health. The study recommends adopting the model for end users' automotive maintenance and safety.
Empirical Study And Analysis Of Software Bug Localization Approaches Using Deep Learning
Authors: Ginika Mahajan , Neha Chaudhary, Anita Shrotriya
Published: December 2023

Bugs comes in high volume and documenting them properly in a specific format in the bug reports is difficult. Locating these bugs in correctly identified buggy files is a challenging task which needs to be automated. Numerous tools and techniques are proposed by researchers to support developers and testers to detect buggy files and automate the process of bug localization with greater accuracy. Recent research deal with the automation of Bug Localization process by using different techniques and tools. In this paper, we presented a comprehensive review of few papers in the domain of bug localization. This review helps us to know the benchmark datasets that are used in this process of bug localization, the major techniques that are worked upon, the findings and evaluation criteria and the architecture of various models and frameworks developed by researchers to automate the task of bug localization. This paper works on IR and DNN approaches and attempted to improve the previous results of DNNLOC successfully. The optimized version of the model improved the accuracy from 0.815 to 0.969 for enhanced rvsm and 0.83 to 0.971 for enhanced dnn. It is apparent that information retrieval approach and deep learning approach complement together in the domain of bug localization.
Optimization of reheat-pressure ratios in Supercritical, Ultra Supercritical and advanced ultra-supercritical Thermal Power Plants with Single Reheating
Authors: Peyyala Nagasubba Rayudu
Published: December 2023

This research paper presents the thermodynamic analysis of a modern supercritical (SC), ultra supercritical (USC) and advanced ultra supercritical (AUSC) steam power plants with a power generating capacity of 1200 MW, employing with single re-heat configuration. A MATLAB software code has been developed to accurately estimate the steam properties under varying conditions. The study focuses on the temperature and pressure at the turbine's inlet and outlet. The cycle's energy efficiency and exergy efficiency have been thoroughly examined, along with the impact of single reheat pressure on the cycle's performance. It has been observed that both efficiencies exhibit a more pronounced increase with rising temperatures compared to increasing pressures. The exergy losses incurred in each of the cycle's components have been meticulously studied and analyzed by systematically varying the pressure ratios of SC, USC and AUSC power plants.
Isolation and Identification of Antimicrobial Compounds from Bacillus Cereus Obtained from Soil
Authors: Harpreet Kaur Priyanka,
Published: December 2023

Bacillus cereus cell-free culture filtrate from soil was highly antibacterial. Two bioactive substances were isolated from the bacterial culture filtrate ethyl acetate extract by silica gel column chromatography. The compounds' structure and stereochemistry were determined by spectroscopic investigations (UV and FTIR) and Marfey's technique. The molecules were cyclo(L-Pro-L-Val), and 3,5-dihydroxy-4-ethyl-trans-stilbene. Pseudomonas aeruginosa Staphylococcus aureus, and Escherichia coli were all inhibited by compounds both the isolated molecules. Best antibacterial activity was observed with 3,5-dihydroxy-4-ethyl-trans-stilbene (6 μg/ml) against Escherichia coli. We conclude that the Bacillus cereus strain from soil is a promising source of natural bioactive secondary metabolites that might be used to develop new medications in agriculture and pharmacology.
Improvement of Tensile Strength of Friction Stir Processed AA6086/Tic Surface Composite
Authors: Chinta Sai Amulya Maddili Praveena Chakravarthy, Alapati Babji, D. Santha Rao,
Published: December 2023

: Friction stir processing (FSP) is a new solid state processing technique that can eliminate casting defects and refine micro structures, enhances mechanical properties of metallic materials. FSP can also produce fine grained structure and can able to fabricate the surface composite. The Aluminum alloy (Al–Mg–Si alloy) has gathered wide acceptance in the fabrication of light weight structures requiring a high strength-to-weight ratio and good corrosion resistance especially in aerospace and automotive industry.

In this work , The  concept of friction stir processing was utilized to successfully disperse  the titanium carbide  particles of 5 µm on to the surface of AA6086.The Taguchi Design Of Experiments (DOE) was applied to determine the most important factors which influences the ultimate tensile strength of AA6086/TiC  surface composites produced by friction stir processing. An L9 orthogonal array, Signal to Noise ratio, Analysis of Variance (ANOVA) were applied to study the performance characteristics. The high value of S/N ratio indicated that the speed is the most influential parameter and the ANOVA results showed that rotational speed is the most influential parameter. Based on experimentation and statistical analysis, it is found that the UTS is higher with higher rotational speeds and is better with lower transverse feeds.
Care Redefined: A HELTHQUAL-Based Exploration of Public and Private Hospital Services
Authors: Ms. Razeena  Dr. Shareena P
Published: December 2023

The landscape of healthcare service quality evaluation has gained substantial attention in recent years, prompting the development of comprehensive assessment tools. The research seeks to enhance scholarly discussion by employing the HEALTHQUAL scale designed by D. Lee (2016), to assess and compare the service quality between private and public hospitals. The central objective of this study is to conduct comprehensive exploration of the landscape of healthcare service provision between private and public hospitals, two distinct categories within the healthcare sector.

Employing a cross-sectional research design, this study engaged in a meticulous examination of healthcare services. Utilizing a judgmental sampling technique, the researcher distributed a questionnaire to 200 respondents who possessed direct exposure to both private and public hospital services. The diligent data collection process yielded a substantial 186 responses, reflecting an impressive response rate of 93%.

Multiple regression analysis was used to assess the relationship between combined influence of empathy, tangible, safety quality aspects, efficiency quality aspects and improvements of care service. The findings of this research are anticipated to contribute substantively to both academic literature and practical healthcare management, ultimately fostering improved healthcare service quality and patient-centric care strategies in both private and public hospital contexts.
Impact Of Mobile Communication In Work Life Balance
Authors: Sangeetha. N
Published: December 2023

Mobile computing technology dramatically changed the paradigm of going to work. Work has been changed from a place you go to whenever and whenever you are conducting a task. Laptops, smartphones, and tablets allow users to switch between work and personal activities effortlessly. Since smartphone development skills, they can do most of what a computer could. With this improved skill people will operate on a smartphone, anytime and everywhere. Users have responded overwhelmingly that smartphones enhance their ability to balance work and personal lives. The main objective of this study is to review the effects of using work-related smartphones influenced work-life balance, job satisfaction, happiness and the burden of life.
Work Life Balance Impact On Job Satisfaction
Authors: N Sangeetha
Published: December 2023

Work-life balance (WLB) is an ever-increasing sharing of valuable business practices, business innovations and this is endorsed by the increasing number of research studies on the impact of WLB on organizations and their employees. Any imbalances in the WLB of an employee can have negative impacts if work / life unbalance favors work throughout their lives. Work life balance (WLB) is a prompt human resource management area and has become a top priority for employees everywhere. The primary objective of this study is to examine how their WLB influences employee satisfaction at work and to examine the factors relating to work life balance and job satisfaction.