bluuebunny/crossref_metadata_2025 huggingface dataset:
A Comparative Study of Evolutionary and Swarm Intelligence Algorithms for Job Scheduling on Identical Parallel Machines
Authors: Sachin Karadgi Rashmi Benni, Shashikumar Totad, Karibasappa K G,
Published: December 2023

In parallel computing systems, job scheduling plays a crucial role in enhancing system efficiency and minimizing the makespan. In recent years, evolutionary and swarm intelligence algorithms have gained prominence as effective approaches for solving combinatorial optimization problems. In the present work, we have considered genetic algorithm (GA) for evolutionary algorithms and particle swarm optimization (PSO) for swarm intelligence algorithms. Evolutionary algorithms (EA) and swarm intelligence algorithms (SIA) have shown promising results in solving job scheduling challenges. In this study, we collate the performance of EA and SIA approaches for job scheduling on parallel machines. We use different benchmark instances to evaluate the algorithms' makespan and computational time performance. The results show that SIA algorithms outperform EA algorithms regarding makespan and computational time for all benchmark instances. Furthermore, the study provides insights into the strengths and weaknesses of EA and SIA algorithms for job scheduling on parallel machines. Our findings provide useful insights for researchers and practitioners interested in applying optimization techniques to solve job scheduling problems on parallel machines.
Students' Conceptions to the Use of Tool Mediation for Reading and Vocabulary Instruction: A Case for Modular Object-Oriented Dynamic Learning Environment
Authors: Mulugeta Teka Kahsay Sisay Ayalew Tsegaw, Abiy Yigzaw Filate,
Published: December 2023

As electronic technology and interaction advance because of the quick bursts of digital tools and texts, there is an indubitable necessity for an amalgamation of language learning with authoring tools that appreciably edify English language skills. Accordingly, thisstudy purposes to explore the conceptions of university-level learnersaproposof theuseof cloud computing tools for vocabulary and reading instruction in object-oriented learning environment. The participants of the study were students in two pre-existing classes for the experimental groups. To realize the study, two sets of post-mediation questionnaires, including 31 items for each reading and vocabulary instruction, were distributed to collect data from students.Diaries were also selected for qualitative analysis. The findings showed that the treatment (tool mediation) had a positive impact on university-level EFL learners' vocabulary learning and reading comprehension skills. Finally, educators should use their ingenuity to impart EFL language teachers and students with cloud computing tools in object-oriented schoolrooms and to design a chair-based learning technique, procedure, strategy, and policy technologically.
Blockchain and International Trade: An Empirical Analysis
Authors: Roucheet Bissessur Ashveen Kutowaroo,  Bhavish Jugurnath ,
Published: December 2023

Blockchain has great potential in international trade because it has the possibility to disrupt bureaucracy, simplify the task of monitoring commodities by removing vast paper trails, and reduce losses due to delayed payments (Morabito, 2017). By analysing time series data between 2012 and 2021, this study will analyse the deployment and application of distributed electronic ledgers in global trade. The study topic is justified since there is a limited knowledge on how blockchain may affect international trade. Furthermore, there is a lack of understanding regarding its relevance in facilitating trade finance. To put it another way, blockchain technology has a significant impact on global trade. Additionally, we demonstrate that per capita GDP has a significant positive impact on international trade. Our findings are congruent with those of Derindag et al. (2020), Keller (2021), and Yu (2021). This study advises decision-makers, notably executives and customers, to validate blockchain's potential advantages and embrace its application for international trade objectives, resulting in higher global trade flows. Companies who commit to embracing blockchain technology will reap huge future rewards
Researching the Advancement of Technology in the Insurance Sector That Would Boost Up the Economy and Financial Inclusion
Authors: Roucheet Bissessur Tosina Devi Rajiah,  Bhavish Jugurnath,
Published: December 2023

This study aims to investigate on the evolution and impact of Insurtech on the Sub Saharan Africa industry to promote economic development and financial inclusion. The sample is constructed on a panel data whereby 22 countries is taken into consideration for a period of 10 years between 2011 to 2021. We have employed twelve variables in our model whereby Firm Performance being the dependent variable followed by control variables such as Liability-Asset ratio, Total Asset, Insurance Herfendal index, Density of Insurance, Return on Investment, Gross Domestic Product per Capita, Urbanization Rate, Credit to the Private Sector, Labour Force with advanced education and Education Attainment at least completed primary population. A Two Stage Generalized Method of Moments (GMM) Technique is used in this research paper in order to resolve potential endogeneity. The results demonstrate that Insurtech has positive impact with insignificant effect on Firm Performance. However, Liability-Asset ratio, Labour Force and Education Attainment has impacted negatively on the Firm Performance.
Evolution of Blockchain Technology in the Financial Sector: An Empirical Analysis
Authors: Tosina Devi Rajiah RoucheetBissessur, BhavishJugurnath,
Published: December 2023

This study investigated the impact of blockchain technology in the financial sector. 20 countries from the Sub SaharanAfrica for a time periodfrom 2011 to 2021 was used. The study employed component analysis to represent the financial development variable, and a Generalized Method of Moments (GMM) was used to evaluate the link between the dependent and independent variables, including blockchain technology and macroeconomic variables. The findings indicatedthat blockchain technology has positive and significant relationship with the financial development. This indicates that the existence of blockchain innovation promotes financial growth. The findings also specified that macroeconomic factors such as lagged financial development, GDP, GDP per capita, FDI, trade openness and Rule of Law have significant and positive relationship with financial development. The institutional variable, government effectiveness has an insignificant relationship.
Political Language under Pragmatic Scrutiny: A Euphemistic Analysis of Boris Johnson Three-Tier Covid-19 National Lockdown Announcements
Authors: Takoua Nouiri Safa Nouiri,
Published: December 2023

More than a year elapsed since the Covid-19 pandemic outbreak all over the world including the United Kingdom. Unprecedentedly, several measures were accounted for in all life domains in order to contain the spread of the virus and adhere to its pervasive nature in a hopeful attempt for survival. So far, Politics and politicians have been under scrutiny from several sectors in society to counteract the ferocity of the Coronavirus extend and its detrimental effects on the normal flow of life. In UK, British citizens desperately anticipated behind their screens the news briefings in which the Prime Minister Boris Johnson updates his people on the high-level of Covid-19 stats that launched a decision towards UK confinement. Therefore, the present research aims at pragmatically analyzing Johnson’s three-tier national lockdown announcements during Covid-19 outbreak vis-à-vis the use of the highlighted 13 types of Euphemism along with its six functions. Thus, the objective of the study is to uncover the functional power Euphemism displayed in the PM speeches based on the frequent use of Euphemism. It therefore follows a quantitative-qualitative analysis of the three lockdown announcement speeches which revealed that six types of euphemism were used to imply positive intentions, whereas four types served a negative function and meaning.
Design and Implementation of Closed Loop SEPIC Converter for PV System Based Smart Home Application
Authors: Pradeepa S. A Danish Raja
Published: December 2023

The design, simulation, and analysis of the Single- ended primary-inductor converter (SEPIC), one of the least known Switch mode power converters, are presented in this study. By adjusting the switching element's duty cycle, this dc-dc converter may be utilized as a buck-boost converter. With minimal strain on components, SEPIC offers the specific benefit of offering positive polarity output voltage and ripple-free input and output current. This contrasts with conventional buck-boost converters, which have negative polarity output voltage along with extremely irregular currents and increased component stress. This makes it perfect for both commercial and personal uses, such as smart home gadgets that use PV energy. Under various input circumstances, extensive simulation has been performed in continuous conduction mode (CCM) utilizing SIMULINK-MATLAB. A PI controller has been added to optimize the responsiveness, reduce steady state error, and keep the output voltage constant. The SEPIC converter's hardware implementation verifies the simulation's findings.
Action Research: An Appropriate Research Paradigm For Practitioners
Authors: Dr. Sandeep Talluri
Published: December 2023

In the recent years action research (AR) has become increasingly popular in second language teaching sphere. It has been established as an appropriate research paradigm for educational, professional, managerial and organizational development. Action research (AR) is collaborative, critical and self-critical inquiry by practitioners (e.g. teachers, managers) into a major problem or issue or concern in their own practice. It is an important way to extend the teaching skills and develop more understanding as teachers, of our classrooms and students. In this paper the focus is firstly identifying some of the key concepts in AR, defining AR and principles and procedures of Action research and focusing on the pedagogical issues.
Reproductive Health Awareness among Higher Secondary School Students of Kozhikode District in Kerala
Authors: Nizar, C., Dr. A. Selvaraj
Published: December 2023

Adolescence is the transitional period between late childhood and the beginning of adulthood, marking the onset of the reproductive lifespan in humans. The reproductive health of adolescents is crucial as it determines the health of future generations. Providing awareness to adolescents about their physical changes, adolescence characteristics, sexually transmitted diseases (STDs), menstruation, and related issues can help reduce anxieties and lead them towards a healthy and successful life. With this objective in mind, this study aims to assess the awareness of reproductive health among higher secondary school students in Kozhikode district, Kerala. The study investigates the level of reproductive health awareness among higher secondary school students and its relationship with gender, school management, stream of education, and locality of the students. Data regarding reproductive health awareness were collected from 168 higher secondary school students using a reproductive health awareness tool. Independent sample t-tests and ANOVA were used to determine the significance of differences. The study reveals a significantly high level of awareness of reproductive health among higher secondary school students. There are significant differences in reproductive health awareness based on the gender of students, school management, and stream of education, while no significant difference was found based on the locality of the school. Reproductive health awareness is significantly higher among female students compared to male students. Government-aided school students have significantly higher awareness compared to government school students, and science stream students have higher awareness compared to commerce students.
A Study on Flex patriates Behaviour in International Assignments Among Information Technology Sector Employees
Authors: Shruti Khemshetty, Dr. Roohi Kursheed Khan. S
Published: December 2023

There are certain changes that are observed in the global workforce. It was seen that Flexpatriate's behaviour is one of the modern trends in the workforce. Therefore, the study has aimed towards analysing Flexpatriates behaviour in International assignments among Information Technology Sector Employees. The term Flexpatriates is relatively new thus people are not familiar with the term. Hence, secondary data was considered for the empirical analysis. In addition, a qualitative method of analysis was employed in order to deliver reliable results. It was observed that there are certain behavioural traits associated with the Flexpatriates. For instance, it was noted that globalization is a major factor that prompts such behaviour in employees. In addition, it was noted that the quality of work for international assignments is impacted by Flexpatriate's behaviour of employees. The prime reason for that was contemplated to be the work-life balance of such Flexpatriates behaviour. Moreover, it was noted that skills and adaptability for information technology employees are some of the major criteria of such employees that impact the quality of international assignments.
Content Designing An Engaging Medium In Social Media Marketing
Authors: Ms. Pallavi N, Ms. Sowmya D S
Published: December 2023

Social media marketing is the use of social media platforms and websites to promote a product or service. Social media marketing is becoming more popular for both practitioners and researchers. Content creation is the foundation of all modern digital marketing efforts. It's defined as the process of conducting research, generating strategic ideas, crafting those ideas into high-value collateral and then promoting to a target audience.

Social media marketing is an important way for businesses of all sizes to reach customers. The customers are already interacting with brands through Social media that can bring remarkable success to the business. This has created devoted brand advocates and driving leads for better sales.

Challenges of social media marketing like customer satisfaction, communication, reducing rumours, negative talk etc., helps in understanding the online marketing and helps in building strategies to avoid the problems of social media.

This study focuses at how communication, cost and customer awareness, brand name influences e- business using social media as a marketing tool. This study provides important insights on which areas company owners and managers needed to look into more effective lyin order to prove business growth. However, if the business has a real Social Media Marketing strategy, it will be able to identify the ability to monitor public perception of its brand, products and services in real time. The importance of this study is: - Content designing in social media marketing.

Content marketing leads customers to more informative and engaging mediums. Content creation is the ultimate inbound marketing practice. When a content is created, then it’s providing free and useful information to the customers, attracting potential customers through website, and retaining existing customers through quality engagement

Content marketing is important because it answers customer’s questions and helps customers to Build trust, develops relationship, improve conversions, and generate leads. In the present day Customers expect high-quality, consistent content from their favorite brand.

The methodology adopted will be Descriptive research and Convenience Sampling technique is followed.
Role of SHGs in Women Empowerment at Tarnaka, Hyderabad.
Authors: Dr. P. RajMohan, Mrs. Arthi Pentkar
Published: December 2023

The goal of financial inclusion is to promote access to low-cost financial products and services such payments, deposits, and cash transfers. Financial inclusion requires women to be actively involved in managing the household's money. The poor people's limited access to credit and financial services is one of the primary causes of poverty in India. Self-help organisations have shown to be the most reliable and efficient means of delivering microfinance services. The main objective of the paper is to study the socio-economic profile of the respondents and also to study the relationship between socio economic profile and level of empowerment attained. For the study data was collected through interviewing 100 respondents using structured questionnaire. The data was analysed using research tools like Chi Square. The result revealed that women’s social and financial status has improved after joining SHGs.
Large Scale Data Influences Based on Financial Landscape Using Big Data
Authors: Surendranadha Reddy Byrapu Reddy
Published: December 2023

Managing massive amounts of data is a hot topic in the worlds of business and technology right now. This kind of activity occurs in the hundreds of millions every single day. The processing of large data events is greatly aided by the financial sector. This means that every day, the financial sector processes hundreds of millions of transactions. According to experts, this is becoming a major obstacle in the way data for various financial services and products is managed and analysed. The financial and insurance industries have also been impacted by big data. Big data has far-reaching effects on the economy, making it crucial to examine the consequences of this phenomenon. The goal of this paper was to use these ideas to illustrate the current state of affairs regarding big data in the financial sector and to explain how and why big data affects various subsets of the financial sector, such as financial markets, financial institutions, and the links between online finance, financial management, online credit service providers, fraud detection, risk analysis, and the management of financial applications. The link between big data and economic variables can be better understood after reviewing the secondary literature on the subject. Due to the novelty of the concept, this study will finish by proposing avenues through which more research into the use of big data in the f inancial sector could be conducted.
Unified Data Analytics Platform For Financial Sector Using Big Data
Authors: Surendranadha Reddy Byrapu Reddy
Published: December 2023

Organizations in today's data-driven digital economy are seeking ways to leverage the immense value of massive amounts of information so as to make more informed decisions. They are able to not only uncover new prospects, but also learn more and improve their performance thanks to big data analytics. Although many businesses have poured resources into big data analytics projects, most have failed to reap the benefits. While there has been a lot of research into the topic of big data analytics, relatively little is known about the strategies that organizations use to merge the various aspects of this discipline. The authors of this paper attempt to solve the problem by developing a comprehensive big data analytics maturity model that can be used by executives to evaluate their own proficiency levels and plan for future development. In this research, we combined traditional quantitative techniques with qualitative meta-synthesis. To begin, we conducted an extensive literature search to catalog the skills and procedures associated with big data analytics maturity. Later, using a quantitative survey method, experts' perspectives on the proposed fundamental skills and practices were analyzed and graded. Finally, a focus group was used to allocate the capabilities to maturity levels according to their priority of deployment, taking into account the architecture of the big data analytics maturity model. We propose a model with four primary capabilities, nine key dimensions (KDs), and five stages of development. Its framework is CMMI-based, which stands for "capability maturity model integration." Questionnaires and focus groups were used to illustrate the big data maturity model. As a guide for effective adoption of big data analytics, we provide the capabilities and KDs, together with their suggested deployment order and weight in the maturity model. Using the offered methodology, businesses may assess their current big data analytics capabilities and steer themselves toward the most effective paths for improvement. Because of this, it enables managers to assess their strengths and weaknesses and establish investment objectives. This work uses a meta-synthesis, which hasn't been done in this subject before, to create an extensive maturity model. The proposed method makes substantial contributions to large data research, and it is both descriptive and prescriptive. A framework is presented in this paper for evaluating different big data analytics projects and settling on a coherent plan of action for their future growth and development.
Demonstrating The Payroll Reviews Based On Data Visualization For Financial Services
Authors: Surendranadha Reddy Byrapu Reddy
Published: December 2023

This study proposes a framework for proactive and intelligent continuous control monitoring (CCM), which can help executives feel more secure in their company's operations while also easing the stress of being flooded with data. The framework was developed by the Continuous Control Monitoring Consortium (CCMC). The development of CCM artifacts, such as the display of operational and internal control violations and the identification of multidimensional abnormalities, is approached from a design science perspective by our team. In order to demonstrate the architecture, we will give a case study of a real-world implementation. This implementation will involve a company that provides accounting services, a client in the healthcare industry, and the research team all working together to improve the dependability of payroll audits. This paper makes a contribution to the CCM literature by proposing that the utilization of machine learning and interactive data visualization can assist relieve the problem of managers having access to an excessive amount of data. Following this, we present evidence that, from both an economic and a behavioral point of view, the control monitoring approach is an improvement over the traditional one. We demonstrate how cutting-edge technology improves risk assessment, the identification of anomalies, and the avoidance of loss both more efficient and accurate. In addition, we provide guidelines for the production and utilization of artifacts, which is another way that we contribute to the field of control monitoring.
Digital Transformations Theoretical Investigation On The Basis Of Smart Government Initiatives
Authors: Surendranadha Reddy Byrapu Reddy
Published: December 2023

Indian small and medium-sized businesses have only recently started to follow CE rules. Despite significant effort, rulemaking, and international collaboration on important projects, the Indian government has seen minimal benefit. In the previous study, it was said that requiring CE in all agencies, no matter how big or small, would help businesses stay competitive in growing markets. No matter how big the agency is, this is the right thing to do. With the help of a theoretical lens based on a resource-based approach, this paper looks at the things that affect and stop small and medium-sized industrial and process-based companies in India from adopting CE. The look at analyzes a total of twelve case studies to make its findings. The within-case and cross-case studies revealed that the primary causes of the barriers to CE adoption were a lack of business-way analysis, skills, and understanding; a lack of virtual transformation; and a lack of multi-stakeholder cooperation within the supply chain. On the other hand, the factors that pressure CE adoption include authorities initiatives, aggressive advantage, environmental regulation, and consumer strain. The motive of this paper is to offer a CE implementation guide for SMEs' managers in India. The study includes six strategies for improving CE domains in the ways of resource efficiency, value savings, multi-stakeholder participation, and long-term effects.
A Novel two-dimensional DOA Estimation Algorithm for Low Elevation Targets
Authors: Sanjeev Kumar Machkuri, Y Ravi Kumar
Published: December 2023

This paper proposes a fast Two-Dimensional DOA Estimation algorithm for low-elevation targets of Very High Frequency (VHF) Array Radar using an estimation method based on the Alternating Direction Method of Multipliers (ADMM). The method firstly utilizes the uncoupling characteristics of azimuth and pitch angle under a uniform planar array, to convert the two-dimensional angle estimation problem into two one-dimensional DOA estimation problems. The target information is extracted by digital beamforming in the azimuth and elevation dimensions. Finally, the Alternating Direction Method of Multipliers is used for estimation of the azimuth and pitch angle. This method avoids the two-dimensional joint estimation, which is complex in the calculation, the complexity is greatly reduced, and the operation process does not require Eigenvalue decomposition, further improving the operation efficiency.
Assessment of Skill Performance Among the Soccer Players in Different Playing Positions
Authors: Laishram Thambal Singh, Thokchom Somorjit Singh
Published: December 2023

The main purpose of the study was to compare soccer skill performance among the players in different playing positions. For the present study, a total of 45 (N=45) players, 15(n=15) each forward, midfielder, and defender between 18 to 25  (23±0.8)  years of age, who had participated in the national competitions from Manipur, were selected randomly. Mor-Christian General Soccer Ability Skill Test was administered to obtain the data for soccer skill performance. Descriptive analysis and analysis of variance (ANOVA) were employed to find the characteristics and means difference among the different playing positions, respectively, and tested at 0.05 confidence level (p<0.05). Further post hoc test was applied by using Scheffe’s method to determine paired mean differences among different playing positions. The study results reveal non-significant differences in passing and shooting skills performance among the forward, midfielder, and defender positions. In the case of dribbling skills performance, a significant difference was found among the forward, midfielder, and defender positions. Further, the paired-wise mean comparison revealed that a significant mean difference was found between the midfielder and defender positions. However, non-significant mean differences were found between the forward and midfielder, and forward and defender positions. The study concluded that forwards, midfielders and defenders may have equally integrated fitness and skill ability to make a strong team, and any player can advance to score a goal during the play
The Interpretation of Age of Criminal Responsibility for Juvenile Offenders from the Perspectives of Islamic Jurisprudence (Fiqh) and Malaysian Law
Authors: Siti Hajar Mohd Afendi Siti Aisyah Samudin, Hanira Hanafi ,
Published: December 2023

Criminal offences still exist in Malaysia, whether minor or severe, including offences under Sharia law such as khalwat (close proximity) and civil offenses like causing harm to others. The issue of crime becomes even more concerning for society when it involves offenders among children. Therefore, the provisions for punishment of these offenses constitute one of the government's efforts to reduce the crime rate. Consequently, the minimum age of criminal responsibility needs to be thoroughly examined to ensure the well-being of these juvenile offenders is preserved in accordance with the age limits stipulated by the United Nations. In addition to reviewing the age limit of juvenile offenders from the perspective of Malaysian law, the determination of age limits from the standpoint of Islamic Sharia law (fiqh) is also examined. To this end, a qualitative method using documentary analysis will be employed. Data analysis will be conducted descriptively and thematically. The study's findings indicate various opinions regarding determining the age limit for child offenders. Inconsistencies in this age limit occur between Sharia and civil courts in Malaysia. Differences in assessing the age of children can also be observed when compared with fiqh provisions, namely the views of the four primary schools of thought. Therefore, it is crucial to ensure that the age limit for children, which lacks harmonisation, does not lead to any injustice within the legal framework.
Using Animated Tales to Develop Oral Communication Skills in English
Authors: Deepak Kumar Bansode Amit Namdev,
Published: December 2023

This paper examines the use of animated tales to develop the oral communication skills of secondary school learners. In the present era, animation has preoccupied most of the young learners’ minds, and as a result of that, most of the time they are seen watching animated programs and movies. It is a well-known fact that children find animation very interesting. In the present research study, it was assumed that animation could be very useful to develop the oral communication skills of the children. The study was carried out at ‘Rajasthan Marwadi School’ in the Latur district of Maharashtra.Sixty students were chosen through random sampling. They were divided into two groups: the controlled group and the experimental group. 

Tasks and activities were used as a research tool to analyse the impact of animated tales on the development of learners’ oral communication skills. Other research tools used in the study were classroom observation checklist, tests, and semi-structured interviews. The data was collected through administering various tasks and exercises and analysed quantitatively and qualitatively. T-test was used for quantitative analysis of the data. The quantified data showed that students from the experimental group showed forty percent (40%) improvement in their oral communication skills. The classroom observation and the transcription of the recorded interviews were analyzed qualitatively. The findings of the research indicated that the use of animated tales improved the oral communication skills of the learners. Moreover, such animated tales rendered language learning interesting and motivating.
A Hybrid Malware Vulnerability using Deep Learning Technique
Authors: V.G.Rani ManojM ,
Published: December 2023

Ransomware is on the rise and effective defensefrom it is of utmost importance to guarantee security of mobile users’ data. Current solutions provided by antimalware vendors are signature-based and thus ineffective in removing ransomware and restoring the infected devices and files. To detect ransomware, the hybrid approach was developed using modified random forest and deep learning technique. The performance of our hybrid detection method is evaluated on a dataset that contains both ransomware and legitimate applications. Additionally, the performance of the static and of the dynamic stand-alone methods for comparison is evaluated. Results showed that detection method perform well in detecting ransomware, their combination in a form of a hybrid method performs best, being able to detect ransomware with 98% precision and having a false positive rate of less than 4%.
A Study of Algorithms, Systems, and Applications of Multi-Agent Systems for Distributed Data Mining
Authors: Pooja , Dr. Manish Varshney
Published: December 2023

Data mining is a powerful technology that converts data into competitive intelligence which businesses can use to proactively predict future trends, uncover meanings to historical happenings and discover business imperatives which was hitherto unknown to business.

Data mining is a “process of discovering and interpreting previously unknown patterns in data to aid business in better decision-making”. Data mining is a set of automated techniques used to extract buried or previously unknown pieces of information from large databases.

Data mining by nature is an iterative process and gets refined for further probing into data in a continuous manner. From a data management point of view, the data mining process requires exploration of data, creating the analytic data sets for evaluation, generating patterns and forecasting models.
Machine Learning-Enhanced Decision Support for Neurological Disorders Management in Healthcare
Authors: Dr. Divya Jain,  Dr. Vibha Tiwari, Akshra Tiwari
Published: December 2023

In a nutshell: Neurological illnesses, which include a wide range of ailments from Parkinson's disease to epilepsy, present considerable problems to the administration of healthcare. The purpose of this abstract is to present an overview of a unique technique called Machine Learning-Enhanced Decision Support (ML-EDS) for Neurological Disorders Management, which aims to improve patient treatment as well as patient outcomes. Within the scope of this investigation, we have suggested a complete ML-EDS framework that integrates cutting-edge machine learning strategies with more conventional approaches to medical treatment. The framework provides a comprehensive solution that makes use of several types of patient data, such as clinical records, neuroimaging data, genetic information, and data from wearable sensors. The Random Forest, Long Short-Term Memory (LSTM), and k-Nearest Neighbours (k-NN) algorithms are integrated into our methodology in order to improve illness progression prediction, seizure event detection, and individualized medication suggestion. In comparison to more conventional approaches, the suggested framework reveals noteworthy advantages. When compared to conventional algorithms, it demonstrates superior accuracy, sensitivity, and specificity in the prediction of illness development. Additionally, its F1 score is significantly higher. In addition, the application of LSTM for the identification of seizure episodes demonstrates the effectiveness of the method in determining crucial occurrences, which in turn enables prompt intervention. The possibility of tailored medical treatment based on k-means clustering is also highlighted in this research. Patients with comparable clinical characteristics can be grouped together to facilitate the development of personalized treatment methods, which can then provide individualized care pathways. The performance evaluation demonstrates that k-NN is capable of making therapy recommendations with high precision, hence contributing to an overall improvement in the health of the patient. Additionally, the proposed framework performs very well in terms of computational efficiency, reducing the amount of time required for both training and prediction, which positions it as a viable option for healthcare applications that are used in the real world. In summation, the use of machine learning in decision support for the management of neurological disorders in healthcare is a ground-breaking strategy that is reshaping the therapeutic landscape. It does this by using the power of machine learning, which enables it to provide more accurate illness progression predictions, rapid seizure event detection, and highly tailored medical care. The findings and efficiency metrics conclusively indicate that this strategy is superior to existing procedures, suggesting a paradigm change in the therapy of neurological disorders.
A Study On Consumption Pattern Of Branded Edible Oil Among The Rural Women In Tuticorin District
Authors: P. Jenith Lenitha, Dr. M. Rajee
Published: December 2023

The main aim of the study is to know the consumption pattern of branded edible oil among rural women.This study is based on both primary and secondary data. Secondary data was collected from research articles, journals, magazines, government surveys and reports (Both Central and State), Planning Commission reports etc. Primary data was collected through well-structured interview schedule from rural women who are used edible oil in Tuticorin district.It is found that 87.6 per cent of the respondents were spent between Rs.201 – Rs.400 per month for purchase of olive edible oil. Majority of the respondents (100%) preferred pet jar pack for olive oil and lowest of the respondents (12.1%) preferred pet jar pack for palm oil.It is identified that 66.9 per cent of the respondentsare influenced by husband to take decision to purchase the rice bran oil. Quality is considered to be an important factor in case of edible oil, because it is more related with health. Nowadays people are very much health conscious on the basis of various observations made in the study, the consumers feel that edible oil is necessary for dayto-day life. Hence the manufacturers of edible oil follow the concept of being hygienic and healthy oil to attract the consumers.
Technological Banking Services in Thoothukudi District: A Cross-Sectional Analysis of Customer Perceptions in Public and Private Sector Banks
Authors: Ms. K. Bhavithravani, Dr. M. Vairavan
Published: December 2023

This research article presents a cross-sectional analysis of customer perceptions regarding technological banking services in Thoothukudi District, focusing on both public and private sector banks. As the banking industry undergoes a transformative shift towards digitalization, understanding customer attitudes and preferences is crucial for banks to enhance service quality and maintain a competitive edge. The study employs a mixed-method approach, combining quantitative surveys and qualitative interviews to gather insights into customer perceptions. A representative sample of customers (386) from various age groups, income levels, and banking habits has surveyed to capture a comprehensive perspective. Key technological banking services, including online and mobile banking, ATM services, and digital customer support, are evaluated. This research contributes to the existing literature on the adoption of technological banking services in a regional context and offers valuable insights to policymakers, bank management, and researchers in the field of banking and finance.
Particle Swarm Optimization Based Super Twisting Sliding Mode Controller MPPT Algorithm Design for Solar PV System
Authors: Sathisha, Abdul Kareem , Ganesh Aithal
Published: December 2023

To maximise energy harvest while keeping the solar photovoltaic (PV) system stable, proper regulation is essential. In this study, we explore the state-of-the-art in solar PV system management and offer a fresh method: Super Twisting Sliding Mode Controller (STSMC) using Particle Swarm Optimisation (PSO). The suggested method enhances control performance by combining the stability of Sliding Mode Control (SMC) with the optimisation skills of PSO. The goal is to improve solar PV systems' fault tolerance, resilience against uncertainties and disturbances, and Maximum Power Point Tracking (MPPT) accuracy. Results show that the suggested PSO-based STSMC is superior to traditional methods of control. Effective maximum power point tracking (MPPT) is made possible by combining PSO optimisation with the SMC structure. This allows for precise MPPT tracking regardless of the sun irradiation or ambient temperature. The technique also improves the system's fault tolerance and robustness by dealing with uncertainty and disturbances efficiently in real time. The study highlights limitations, such as the use of idealised settings, and provides recommendations for further research to enhance the suggested method. The MATLAB/Simulink Simulation Tool is used for the research.
Hexagonal Microstrip Patch Antenna with Defective Ground Structure for Wideband Applications
Authors: Upender Rao B, N. V. Koteswara Rao, P. Chandra Sekhar
Published: December 2023

The complexity and variety of modern wireless communication devices have resulted in an increase in the need for high-performance and wideband antennas. This research proposes an innovative approach for enhancing the bandwidth of hexagonal patch antennas using a microstrip line feed and the Defected Ground Structure (DGS) technology. The area of the hexagonal patch with defective ground structure wideband antenna is 32×24 mm2. The wideband ability and compact dimensions of the hexagonal patch antenna make it attractive. The DGS approach is used to change the resonant behavior of the antenna, resulting in a significant bandwidth enhancement. The simulation results demonstrate that combining DGS with the microstrip feed leads to significant enhancements in gain, radiation characteristics, and impedance bandwidth. The approach has potential for a range of wireless communication applications that demand wide performance in a compact antenna design.
Improved PAPR Reduction Technique in 5G Systems: Addressing Limitations and Challenges with Computational Techniques
Authors: Akku Madhusudhan , Sudhir kumar Sharma
Published: December 2023

A high peak-to-average power ratio (PAPR) in the Orthogonal Frequency Division Multiplexing (OFDM) system reduces the efficiency of the power amplifier (PA) at the transmitter. This flaw lowers the efficiency of the OFDM system overall and results in excessive energy usage. The OFDM signal is preprocessed to lower its peak power before transmission in order to address this problem. For 4G and 5G waveforms, we investigate several crest-factor reduction (CFR) approaches in this work. We emphasize the importance of processing OFDM signals before transmission in order to address the significant PAPR issue. In-depth analysis of the CFR technique known as "clipping," which is frequently utilized in real-time applications, is conducted. We go over the difficulties brought on by the high PAPR of OFDM signals and how they affect power amplifier effectiveness. We evaluate the suggested PAPR reduction technique's performance in terms of PAPR reduction capability, signal distortion, computational overhead, and bit error rate (BER) using simulation models and MATLAB-based evaluations. We contrast the efficiency of our suggested method with the PAPR reduction strategies currently in use, such as the partial transmit sequence (PTS), selected mapping (SLM), and crest factor reduction (CFR) methods. Additionally, we confirm the suggested method using a hardware testbed, highlighting its usefulness in actual 5G systems. Additionally, we assess the suggested method's ability to lower the cost and complexity of hardware design for 5G systems in order to assess the economic benefits.
Harnessing The Potential Of Urban Voids
Authors: Dr. Mayank Dave
Published: December 2023

There are flakes and parts of uncomfortable areas in every metropolis. To categorize them, they would be in between buildings, occupying edge circumstances, but not sufficiently to occupy any kind of traditional views, which may be referred to as residual views. In general, residual areas are seen as territory set aside for future urban occupants, environmental reserves, or simply no-man’s-land. The goal is to emphasize the significance of recognizing these places as components and structural aspects of urban occupancy. The research concentrates on negative spaces which comprises of informal green areas, unoccupied lots, playgrounds, free parking lots, intermediate spaces or above facilities. These areas can be planned, changed, and incorporated into the urban principal structure in order to provide social and environmental benefits. Creative and adaptable design should help improve a city's image from within to achieve psychological wellness.
A Novel Approach of Deep Learning Using Sentiment Analysis in Python
Authors: Tanvi, Kiran Bala Somani, Poonam Bhargav
Published: December 2023

This paper focused on Sentiment Analysis is the task of categorize the division of a given text. For instance, a text-based tweet can be categorize into either "positive", "negative", or "neutral". Given the text and accompanying labels, a model can be trained to predict the correct sentiment. Sentiment Analysis techniques can be categorized into Deep Learning approaches, lexicon-based approaches, and even hybrid methods. Some subcategories of research in sentiment analysis include: multimodal sentiment analysis, aspect-based sentiment analysis, fine-grained opinion analysis, language specific sentiment analysis. Sentiment analysis (SA) is a process of extensive exploration of data stored on the Web to identify and categorize the views expressed in a part of the text. The intended outcome of this process is to assess the author attitude toward a particular topic, movie, product, etc. The result is positive, negative, or neutral These study illustrated different techniques in SA approach for extracting and analytics sentiments associated with the polarity of positive, negative, or neutral on the topic selected. Social networks SA can be a useful source of information and data. SA acquires important in many areas of business, politics, and thought.. The main aim of this study is to provide full concept about SA techniques and its classification and methods used it. Also, we give a brief overview of big data techniques and its relation and use in SA field. Because the recent period has witnessed a remarkable development in the use of Big Data (Hadoop) in the process collection of data and reviews from social networks for analysis.
Exploration of the photo voltaic (PV) energy generation and scope for Sonipat: A Review
Authors: Sandeep Kumar, Dr. Rajender Kumar, Dr. Parveen Kumar
Published: December 2023

This review article explores photovoltaic (PV) energy generation and its potential scope in Sonipat. It delves into the current state of PV technology and its applications in the region. Sonipat's geographic location and solar potential are examined to assess its suitability for PV energy generation. The study also investigates factors such as solar panel placement, energy storage, and maintenance practices. By reviewing existing literature and research, it aims to provide insights into the feasibility and opportunities for expanding PV energy generation in Sonipat, ultimately contributing to sustainable energy solutions in the region. The review offers a comprehensive analysis of PV energy generation in Sonipat, encompassing its environmental and economic benefits. It examines Sonipat's solar irradiance patterns and the potential for harnessing solar energy for electricity generation. Furthermore, it explores the challenges and opportunities in integrating PV systems into the local energy infrastructure, considering factors like grid integration and policy support. The review ultimately aims to shed light on the untapped potential of PV energy in Sonipat, highlighting the importance of sustainable energy sources in the region's energy landscape and emphasizing the need for further research and development in this field.
Emergence of Synchronous Reluctance Motor Drive for an Electric Vehicle
Authors: Vikash Kumar Singh, Sailesh Sourabh, Maruti Nandan Mishra
Published: December 2023

According to recent research, synchronous reluctance motors, or SynRMs, offer innovative and promising technology. Consequently, there has been a growth in research on popular SynRMs drive systems. Recent advances in the design, modeling, and more importantly control of these motors are disseminated in this paper. Prior to moving on to SynRMs, a quick analysis of the leading motor technology is done. In order to help industries and researchers choose the best control method for motor drive systems, the most popular motor control methods are examined and categorized in the second section. In conclusion, the various speed zones of SynRM control techniques are examined, and the changes between trajectories are examined.