bluuebunny/crossref_metadata_2025 huggingface dataset:
COMPREHENSIVE INVESTIGATION OF FINANCIAL PERFORMANCE OF ARYAVART BANK: A DUPONT MODEL APPROACH FOR PROFITS, EFFICIENCY, AND SUSTAINABILITY
Authors: Pandey Ms. Sadhvi , Gupta Ms. Arzoo
Published: June 2024

Financial institutions serve as the foundation of a country's economic landscape, facilitating the provision of loans, infrastructure, and investments necessary for economic advancement. The banking sector, as one of the key institutions, plays a crucial role in propelling economic development and expansion. This study centers on conducting an extensive assessment of Aryavart Bank's performance, which is a Regional Rural Bank. Objectives of Study: The research is guided by specific objectives that aim at examining the bank's financial stability. The primary goals of this research are to evaluate Aryavart Bank's profitability position, assess its overall financial performance, identify the key drivers influencing Return on Equity (ROE), compare its financial performance over the past few years, assess the impact of risk and leverage, and examine the bank's sustainability and growth prospects. Methodology: In order to achieve these goals, a comprehensive assessment is carried out using several kinds of financial ratios and indicators for the financial year 2019 -2023. The bank's Return on Equity (ROE) was examined using Dupont Analysis, which divides the model into three components: net profit margin, return on assets, and equity multiplier. This analysis depends on a careful examination of Aryavart Bank's income status and balance sheets. Findings: The study elucidates the exceptional financial standing of Aryavart Bank, characterized by stable net interest income and a continuous upward trajectory in profitability. Remarkably, the bank's concerted endeavors have led to a reduction in non-performing assets alongside an augmented provision coverage ratio, signifying an enhancement in asset quality over time. Conclusion: The financial performance study's conclusion shows Aryavart Bank as being well-positioned in terms of stability. However, the study reveals a spotlight on areas that should be prioritised for future growth and profitability. In a nutshell, this research provides a comprehensive assessment of Aryavart Bank's financial progress, including profitability, efficiency, risk, and growth perspectives. The insights gained here provide a valuable foundation for the bank to develop a strategy in order to strengthen its current position and explore upcoming challenges. Future Scope: This research emphasizes the wider importance of augmenting the efficacy of financial institutions to promote a country's economic advancement and establishes a basis for possible future investigations into refining banks' fiscal performance, especially in relation to Regional Rural Banks and their contribution to overall economic growth.
IMPACT OF CUSTOMER ORIENTATION ON ENTREPRENEURIAL PERFORMANCE OF SMES: EMPIRICAL EVIDENCE FROM URBAN KATHUA
Authors: Pooja Dr. , Kour Dr. Ramandeep , Sharma Mr. Rakesh
Published: June 2024

Entrepreneurial sustainability (ES) seems impossible without customer orientation (CO). Focusing on customers and other stakeholders and responding effectively to their product-based needs is certainly an effective strategy that influences entrepreneurial performance and sustainability of SMEs. Better-quality performance can be achieved by stressing upon the Customer Oriented marketing philosophy. Whereas it is superfluous for business enterprises to incessantly extend latest and resourceful processes, endow with innovative products or services. The paper focuses on enticing the customer orientation and its impact on entrepreneurial orientation and performance of entrepreneurial units. Data was gathered by means of census method. In the next step, scale purification through EFA, CFA was carried to test the hypothesised relationship. Structural Equation Modelling was used to test the hypotheses. Results revealed that significant and positive relationship between Customer orientation and entrepreneurial orientation exists. Further, there is a positive and significant relationship between customer orientation and performance of entrepreneurial units. Entrepreneurial sustainability can be achieved by formulating effective entrepreneurial strategies like distinct market advantages, customer value-creation, delivering superior quality products & services; designing of customised product, business competency including brand image, technology & its monitoring and new product /service development, financial management, human resource management, organisational communication etc. It will also help SMEs in retaining the existing customers by reducing customer switching to national brands, handling complaints and building faith through assurance & warranty and thereby further strengthening of brand loyalty that relies solely on repeat purchase behaviour. In this context, the study shall be contributing and enriching the knowledge base of government.
STRUCTURAL ANALYSIS OF THE TETHERED AEROSTAT ENVELOPE
Authors: G A Sivasankar , K Anudharshini , D Abirami , K Robert , S Hemapriya
Published: June 2024

LTA (Lighter than air) systems called Aerostats are used to transport significant payloads at predetermined altitudes. There are different types of aerostats available now. Aerostats that are tethered to the ground use a tether to keep their position and supply power. Depending on their use, aerostats must function in a variety of atmospheric circumstances. This essay provides a review of the literature on “The tethered aerostats with varied materials”. LTA gas, which provides the lift force to carry the payload in the air, is contained in the aerostat envelope. This research study provides a thorough assessment of the literature on the various materials. The review has been put forth to highlight the analysis of different materials in the development of aerostat.
ENHANCING FIRST PASS YIELD IN MULTI-CYLINDER FUEL INJECTION PUMPS
Authors: Nanjundaradhya N. V , U. R Nischit , Sahoo Pradeep K , Harisha S. K
Published: June 2024

The international automobile industry, valued at around $200 billion, relies heavily on mass production and considers product quality crucial for success and customer satisfaction. The main component in Diesel Engines, the multi-cylinder fuel injection pump, significantly influences the company's outcome, with First Pass Yield being a critical factor. To enhance the First Pass Yield and address the governor cover joint leak, the Shainin approach is utilized to identify and control the root cause. Governor cover joint leakage is the leakage found between the governor cover and Governor housing Interface which was single-side glued and soaked with oil for best seating and to obtain leak proof. The asbestos-free paper gasket is used at the interface, and six screws with 8nm torque are used for perfect attachment. Even after this arrangement, small leakage occurs at the interface. The root cause is found to be Gasket Swelling time. The reason for the cause is analyzed with respect to different experimentation. The solution is found and optimized with respect to the physics of the problem. An optimized solution is validated for a particular batch over a particular period of time. Initial FPY is 97.8%. Root cause analysis is done for GCJL. The optimized solution is validated for a particular batch over a particular period of time. FPY of the FIP increased as the Swelling time of the gasket decreases. Four hundred samples are tested for swelling time, for 3 minutes, it is 100 %, and for 10 minutes, it is 99%.
EXPLORING CULTURAL DIVERSITY AND IDENTITY IN NGUGI WA THIONG'O'S THE RIVER BETWEEN
Authors: S. Amirtha Ms. , B. Ajantha Dr.
Published: June 2024

This research paper aims to explore the theme of cultural diversity and identity in Ngugi wa Thiong'o's novel The River Between. The novel is set in colonial Kenya and explores the clash between traditional African customs and the influence of Western colonization. This novel is highlighting the tensions between traditional Kikuyu customs and the introduced Western ideals and practices brought by colonialism. This analysis encompasses the various characters' perspectives and their grappling with the changes and conflicts arising from the collision of cultures. This novel also expresses the various cultural elements including language, religion and gender roles, their impact on the characters and their communities. This paper seeks to shed light on the complexities of cultural diversity, identities and the challenges faced by individuals and societies in navigating their identities in a rapidly changing world.
DIMINISHING ANXIETY USING NEURO-LINGUISTIC PROGRAMMING IN PUBLIC SPEAKING FOR TERTIARY LEVEL STUDENTS
Authors: P Nallamuthu. , S.N.S Dr. Gandhimathi
Published: June 2024

Neuro-linguistic Programming (NLP) is a pseudoscientific approach that intends to study the brain and linguistic processes involved in human thinking. It indicates the reduction of profound phobias, especially among university students, while speaking in public. The present study employs NLP techniques to reduce anxiety while speaking in public. It aims to comprehend how anxiety affects speakers' performance and identify mind-simulating NLP techniques to reduce anxiety. NLP helps students accomplish professional objectives and boost productivity by de-stigmatising anxiety in public speaking. The study has included qualitative and quantitative research methods. Scholarly articles have been analysed to carry out qualitative method whereas for quantitative study a questionnaire comprising 7 demographic details is administered to the undergraduate students at Vellore Institute of Technology (VIT). The current research has reviewed research papers published in the field of NLP to analyse the strategies that are used to help anxious adolescents to speak in public and take examinations. The researchers have encompassed various NLP approaches in the questionnaire to evaluate their applicability in public speaking skills across several academic disciplines and degree levels. The research has found consistent and divergent perspectives by comparing their responses. The study examines whether NLP can be used with stage performers, players in sports, people with speech difficulties and employees of private and public sectors. It is identified that NLP significantly lowers anxiety when speaking in public.
MODIFICATION OF KOHA THROUGH ONLINE PUBLIC ACCESS CATALOGUE: AN EXPERIMENTAL BASED STUDY
Authors: Kumar Mr. Amit , Raj Dr. Som , Devi Mrs. Rachna
Published: June 2024

A library's whole collection of books, documents, and other resources can be found in an online database called an OPAC. Now, OPAC has replaced the outdated card catalog system as a tool for assisting library patrons in finding the information or resources they need. The main motive is to investigate many facets of Koha’s OPAC modification.An experimental research methodology was adopted. To alter the front or face view of the OPAC, CSS, HTML, and Java coding have been utilized as commands.The Koha OPAC is parted into six portions: the header, right navigation, left (upper and lower) navigation, main user block (the region in the middle of the OPAC where content will be written), and footer. An editing tool that is very interactive is available to library professionals who lack extensive programming experience.The purpose of the personalization process is to allows the fellow professionals to become familiar with new characteristics of fully adoptable Koha, while also helping users in knowing relevant open access e-resource links on a single stage. This saves users' time because they don't have to recall the URLs for these e-resource links or databases.
UNDERSTANDING ENERGY POVERTY, ITS DETERMINANTS AND PATHWAYS TO ENSURE AFFORDABLE AND CLEAN ENERGY
Authors: Katoch Om Raj , Shrikant Mr.
Published: June 2024

Access to modern and reliable energy services is vital for human development and societal progress. However, energy poverty remains a significant global challenge, characterized by inadequate, unaffordable, and unsustainable energy sources. This paper explores the multifaceted issue of energy poverty, analyzing its root causes, global distribution and dimensions. It identifies factors that perpetuate energy poverty through case studies and expert insights while proposing strategies to eliminate it. Energy poverty has adverse effects on human development, hindering health, education, and economic opportunities, and it also contributes to climate change through increased greenhouse gas emissions. Addressing energy poverty requires a comprehensive approach involving policy reforms, investments in renewable energy infrastructure, and community-based initiatives. Empowering energy policy frameworks, strengthening regulatory environments, and promoting energy literacy are crucial steps towards achieving sustainable energy access. Additionally, engaging local communities and fostering public-private partnerships can expedite progress. By understanding the complexities of energy poverty and implementing these strategies, stakeholders can collectively work towards achieving SDG 7 - universal access to affordable, reliable, sustainable, and modern energy services by 2030. This endeavor will foster inclusive and sustainable development worldwide.
IMPACT OF MOTIVATION IN THE WORKPLACE
Authors: Smriti Dr. Ani , Kumar Mr. Rajesh
Published: June 2024

Motivation in the workplace is a critical factor that impacts employee performance, engagement, and overall organizational success. It is influenced by a combination of individual and organizational factors. Employees are motivated when they find their work meaningful, feel a sense of accomplishment, and believe their efforts contribute to the company's objectives. Recognition, rewards, and opportunities for growth are key extrinsic motivators. Providing regular feedback, acknowledging achievements, and offering promotions or bonuses can boost employee motivation. Intrinsic motivation is nurtured through tasks that allow employees to exercise their skills, creativity, and autonomy. Workplace is a business communication tool that helps organizations stay connected with their employees. The research method of this study used the secondary data listed in different databases of books, research papers, and related articles on the Internet of Motivation. This paper aims to delve into the multifaceted aspects of motivation in the workplace, exploring theories, strategies, benefits, role of leadership, and suggestions for improving motivation in the workplace.
PROBLEMS AND ISSUES OF KUDUMBASHREE UNITS IN KERALA: PROS AND CONS
Authors: Kattali Mujeeb Rahiman , Devi Dr. R. Saroja
Published: June 2024

The chapter provides an in-depth exploration of Kudumbashree, a women-centric community-based program in Kerala, examining its evolution, successes, and challenges since its initiation in 1998. The study aims to shed light on the multifaceted impact of Kudumbashree, emphasizing both its strengths and weaknesses. The significance of the research lies in its potential to inform targeted interventions for sustainable growth, empower women, enhance socio-economic impact, support local initiatives, and contribute to academic literature. The objectives focus on identifying challenges, assessing pros and cons, and proposing evidence-based recommendations. The chapter concludes with a nuanced understanding of Kudumbashree's issues and strengths, advocating for strategic interventions to ensure its continued success in women empowerment and poverty eradication in Kerala.
IMPACT OF AI ON EQUITY MARKETS
Authors: Katiyar Ashita , Shahi Ashish , Singh Rhea
Published: June 2024

Evolutionary advancement of AI tools has enhanced the future of FinTech Industry. The similarities between Artificial Intelligence and FinTech are enormous. Improved knowledge and capabilities have pushed AI technology from the edge to the centre of the debate. Our Pathway for this research is to study how AI has impacted the investments in the Equity markets and how it has enabled any interested investor to gain easy knowledge and analyse the equity markets at the ease of their gizmos. We will study the past trends of the equity markets with respect to the impact of AI on current equity market trends. Our research mainly focuses on the revolutions that AI has brought to the Fintech world. We will be doing descriptive research on our topic backed by quantitative data and facts. We will be taking the help of various statistical tools to analyse our data. We will be applying business analytical tools to study the equity markets and how they help in better analyses and forecasting. We will be studying few Fintech apps that will enable us to get a better understanding of how AI has reformed the equity markets. Stock market in general and stock trading in particular depends heavily on prediction, with the help of AI we will judge the accuracy of the stock trends in the markets. AI contributes to lowering trading costs overall, which attracts more investors but has a negative impact on stockbrokers’ careers.
SEDIMENTATION METHOD TO EVALUATE STABLE CuO BASED NANOFLUID FOR HEAT TRANSFER APPLICATIONS
Authors: Basavaraj Kusammanavar , Elangovan K , Algur Veerabhadrappa , Satyanarayan Mr.
Published: June 2024

Nano fluid is a base fluid in which nanoscale particles are suspended. Nanofluids are tremendous heat transfer applications in the field of thermal engineering such as radiator heat exchanger and solar applications etc. the applications of the CuO-DI water and CuO-EG nanofluids in a area of heat transfer is essential and maintain the stability of CuO-DI water and CuO-EG nanofluids is necessary. In the present study two - step method was used to prepare the CuO-DI water and CuO-EG nanofluids without adding surfactant. The sedimentation method was adopted to check the stability of the nanofluid for the volumetric concentration of 0.2%, 0.4%, and 0.6% of CuO nanoparticles in the DI water and EG. The thermo physical properties such density, specific heat, thermal conductivity, and viscosity of the CuO-DI water and CuO-EG nanofluids were also studied using the appropriate model in the present work.
PERFORMANCE IMPROVEMENT OF ENERGY EFFICIENCY IN HEAT PIPE SOLAR COLLECTOR WITH NANO COMPOSITE REVIEW
Authors: Shamkant Desale Prof. , Premendra Bansod Dr.
Published: June 2024

The intension of this research work is to improve the performance of evacuated heat pipe collector with Nano composite. Solar collector includes absorber unit in order to transfer the heat energy to a working fluid. In this research it was intended to evaluate performance considering with Nano composite. The Challenge in the production of future generation solar tube collector technology is the control of operating temperature and heat generation. An essential aspect of Solar collector design and application is the heat produced by the evacuated tube solar collector. Losses are present in design of solar system but must be reduced into a heat recovery system. From the past research, Authors have analysed the performance with numerous trials. The result shows that evacuated tube heat pipe collector with Nano composites give the better result than heat pipe collector without Nano composites. The coefficient of heat increases with higher mass transfer hence use of Nano material give more efficiency.
SHAPE MEMORY POLYMERS AND ITS BIOMEDICAL APPLICATIONS
Authors: Gupta Ritesh , Kumar Krishna , Pandel Upender
Published: June 2024

The versatility of shape memory polymers (SMPs) and their potential applications are explored in this chapter, with a particular focus on their promising role within the biomedical field. SMPs, known for their ability to undergo shape changes under specific stimuli, are gaining traction due to their potential in creating advanced soft robots, facilitating repeatable actuation, and enabling multifunctional medical devices. In the biomedical realm, SMPs have garnered significant interest, finding applications in diverse areas such as self-retractable stents, drug delivery systems, self-tightening sutures, tissue engineering scaffolds, and more. These materials offer advantages of minimally invasive use, biodegradability, structural support, and controlled therapeutic agent release. While these developments hold great promise, the chapter emphasizes the importance of evaluating biocompatibility, degradation rates, and functional duration for safe implementation. Concluding on a forward-looking note, the chapter underscores the essential role SMPs play in minimally invasive procedures and their continuous evolution in shaping the future of biomedical applications.
FUTURE OUTLOOK AND CHALLENGES IN DEPLOYING 6G
Authors: C Niranjana , Jijesh J J Dr. , B Lakshmi Manasa , P K Vineeth Kumar
Published: June 2024

Communication networks form the backbone of modern society, enabling the exchange of information and fostering global interconnectedness. Communication networks is intricate systems designed to facilitate the transmission and reception of data, voice, and multimedia across various devices and geographical locations. 5G represents a revolutionary leap in wireless communication technology, promising to enhance our lives, empower industries, and drive innovation to unprecedented heights. 6G communication is envisioned to deliver data rates beyond 5G's capabilities, reaching speeds of up to terabits per second (Tbps). 6G is expected to introduce even lower latency, possibly in the microsecond range. This chapter focuses on the development of 5G, the Need for 6G, Deployment difficulties, and Machine Learning Algorithms for various Applications.
AN ANALYTICAL STUDY OF NON-FARM ACTIVITIES IN RURAL TANK OF TAMILNADU INDIA
Authors: B Anuradha , Deepa K. , P Vasanthi. , M Priyanka. , Packialakshmi S Dr. , Sheena. A. D Dr.
Published: June 2024

Tanks are the rural resources constructed across a shallow valley to conserve water for multiple uses. Apart from predominant use for farming, this stored water is also been used for non-farm and off-farm activities by local communities. Hence objective of tank rehabilitation not only focus enhancing agricultural activities but also its associated livelihood options. Hence this analytical study is a prudent attempt of assessing the improved livelihood status of a selected rural village during post tank rehabilitation era in various non-farm activities. Result shows that percentage of per capita increased net income from non-farm anmong total increased income is 29 %.
MACHINE LEARNING PAIRED WITH ARTIFICIAL INTELLIGENCE AND BRAIN-COMPUTER INTERFACES
Authors: Nayak Jyoti Ranjan , Kumar Nayak Dr. Chinmay
Published: June 2024

In recent years, the integration of Machine Learning (ML), Artificial Intelligence (AI), and Brain-Computer Interfaces (BCIs) has garnered significant attention, fostering innovative approaches to enhance human-machine interactions. One such promising approach is transferring learning, which leverages pre-trained models to tackle new tasks and domains with limited labelled data. This paper explores the potential of transfer learning in the context of combining AI and BCIs. BCIs serve as a crucial interface connecting the human brain with external devices, opening possibilities for diverse applications such as assistive technology, communication aids, and neurorehabilitation. However, one of the major challenges in BCIs is the scarcity of labelled brain data, making it challenging to develop accurate and personalized models for users. Transfer learning, which capitalizes on knowledge gained from related tasks or domains, can mitigate the data scarcity issue by leveraging pre-trained AI models on large datasets from other domains, and fine-tuning them on smaller, domain-specific brain data. This technique holds the potential to enhance BCI performance and usability, allowing for more robust and efficient human-machine interactions. The paper reviews recent advances in transfer learning and its application to BCIs, exploring various transfer learning paradigms, such as domain adaptation, few-shot learning, and meta-learning. Additionally, it discusses the challenges and opportunities in incorporating transfer learning approaches into BCI systems, including issues related to feature representation, domain shift, and selection of appropriate pre-trained models. Furthermore, the paper highlights the potential benefits of this integration, such as reduced calibration time, improved accuracy, and increased adaptability to individual users. It also addresses ethical considerations, including data privacy, security, and the potential impact on human autonomy. The fusion of ML, AI, and BCIs through transfer learning presents an exciting avenue for advancing the capabilities of brain-computer interfacing. As research in this area progresses, we anticipate witnessing groundbreaking developments that will facilitate seamless and intuitive communication between humans and machines, ushering in a new era of enhanced human-machine symbiosis.
GENDER AND AGE AUTHENTICATION AND CLASSIFICATION USING FINGERPRINT
Authors: Grace D Sheefa Ruby , Ruby Jai , Subathra N
Published: June 2024

In today’s technological advanced scenario, search for physical fingerprint evidence of a suspect to crime by the forensic investigators is an outdated method. The image is enhanced using Contourlet Based Transform (CNT). Here we use, Singular Value Decomposition (SVD), Principal Component Analysis (PCA) and Discrete Wavelet Transform (DWT) have all been used to extract features from a person's fingerprint in order to estimate their age and gender for authentication, behavior analysis etc. For categorization, K nearest neighbour (KNN) is considered. Using a real-time database of male and female fingerprints, the system is evaluated. The five categories of tested fingerprints are: up to 12, 13–18, 19–24, 25–35, and 36 and above. Both male and female values are drawn from the sample database. Determine if it belongs to a male or female and the associated age is the goal of this paper.
DLANN-CA MODELLER FOR FUTURE CROPLAND CHANGE DETECTION USING SATELLITE TIME-SERIES IMAGERY: A CASE STUDY OF VIJAYAWADA, AP, INDIA
Authors: Beeram Satyanaraya Reddy , Pothuri Neela Sundari , Sannapureddy Vijaya Lakshmi , Devi M.V.Sheela
Published: June 2024

For applications, say sustainable crop monitoring, food security, along with land and agriculture planning as well as management, it is imperative to detect future changes in CropLand Areas (CLA). This paper aims to precisely envisage future changes in CLA of Vijayawada city of Andhra Pradesh, India, for maintaining the present CLA as well as control future CropLand (CL) deprivation. Thus, to attain this objective, here, future CL change is detected on the base of Deep Learning Artificial Neural Network and Cellular Automata (DLANN-CA) system utilizing Satellites Time-Series Imagery (STSI). Initially, the Satellite Images (SI) of Vijayawada in the year of 1999, 2009, and 2019 are gathered and pre-processed to ameliorate the images’ quality. Pre-processing the image will eradicate the distortion, say Geometric Distortions (GD), Cloud and Cloud Shadow (CCS), and atmospheric distortions; and then, utilizing Gaussian based Median Filter (GaMF), the Speckle Noise (SN) as of the SI are filtered effectively. After that, AdamNC based Multi-Level Thresholding (AdamNC-MT) segmentation is employed to segment CLA as of the satellite maps for a CL change prediction. The DLANN-CA was trained centered on these images to produce future maps of 2030 and 2040. Next, centered on the resulting maps, the CL changes between 1999 and 2040 are analyzed. At last, numerical simulation outcomes are rendered to exhibit the proposed method’s effectiveness.
EXPLORING RECOMMENDER SYSTEMS: TYPES, EVALUATION METRICS, AND CHALLENGES
Authors: Ahuja Nikita , Pillai Jyothi
Published: June 2024

Recommender systems have emerged as powerful tools for personalized infor- mation filtering and recommendation generation. However, these systems are not without their challenges and issues. This abstract explores the various issues faced by recommender systems and the implications they have on recommendation quality and user satisfaction. Data sparsity is a prevalent issue where recommender systems struggle to generate accurate recommendations due to limited or sparse user-item interaction data. This poses a significant challenge as it becomes difficult to capture user preferences and identify relevant items for recommendation. The cold start problem further compounds this issue by making it challenging to provide accurate recommendations for new users or items with limited or no historical data. Scalability is another issue, particularly for large-scale platforms with millions of users and items. As the volume of data grows, recommender systems encounter computational and efficiency challenges that hinder their ability to handle the increasing data size effectively. Diversity is an essential aspect of recommendations; ensuring users are exposed to a wide range of options. However, recommender systems often face a trade-off between accuracy and diversity. The overemphasis on popular or mainstream items can create filter bubbles and limit users’ exposure to novel or niche recommendations. Privacy and ethical concerns have gained significant attention in recommender systems. The collection and utilization of user data raise concerns about data privacy, algorithmic bias, and user manipulation. Ensuring transparency, fairness, and user control over their data and recommendations are critical aspects that need to be addressed. Evaluation of recommender systems poses its own set of challenges. Existing evaluation metrics primarily focus on accuracy and do not fully capture other important aspects such as diversity, novelty, and user satisfaction. Developing comprehensive evaluation frameworks that consider these factors is essential to assess the overall performance of recommender systems accurately. The research work highlights the issues faced by recommender systems, including data spar- sity, the cold start problem, scalability, diversity, privacy concerns, and evaluation challenges. Addressing these issues is crucial for enhancing the accuracy, diversity, and ethical consider- ations of recommender systems, ultimately improving the user experience and satisfaction. Future research should focus on developing innovative algorithms, evaluation methodolo- gies, and privacy-aware approaches to overcome these challenges and advance the field of recommender systems.
MACHINE LEARNING, DEEP LEARNING ALGORITHMS AND THEIR USES
Authors: Karthiga K. , Rajdeepa Dr. B.
Published: June 2024

Deep Learning has become a rapidly growing area of research and several promising research areas are expected to drive future advancements. This paper presents an overview of the algorithms, architecture, training techniques, and applications in deep learning. Deep Learning algorithms are grouping into two categories such as supervised learning and unsupervised learning. Deep understanding needs different learning algorithms for various network architectures. This chapter will explore the rudimentary concepts of deep learning and provide a survey of deep learning algorithms and their associated advantages and disadvantages. Then, it will explore recent futuristic deep learning algorithms and their outstanding performance on various tasks. Finally, this paper provides a prominent standpoint on Deep Learning algorithms and future directions and opportunities for further research in deep learning.
Demystifying the Discourse: Techniques to Effective Academic Writing
Authors: Barasa David
Published: June 2024

Academic writing is a distinct style of communication with its own set of conventions and purposes. It goes beyond simply expressing personal opinions to engaging in a scholarly conversation, critically analysing existing knowledge, and presenting well-reasoned arguments supported by evidence. This paper aims to unpack the often-opaque world of academic writing, presenting a toolbox of techniques for writers to craft clear and impactful texts. Drawing on genre theory developed by Miller (1984), the study will analyse common academic writing structures and the rhetorical moves employed within them. Genre theory offers a valuable framework for untangling the complexities of academic writing. Using a critical literature review methodology, the paper will synthesize existing research on effective academic writing strategies. This analysis will identify key elements such as establishing context, presenting arguments, and integrating sources. The paper is designed to be accessible to a broad audience, providing writers with the tools and frameworks necessary to not only understand academic writing but also to confidently participate in scholarly conversations.
The Role Of Swimming Training In Preventing Preeclampsia During Pregnancy
Authors:   Department Of Midwifery, Politeknik Kesehatan Aceh, Kementerian Kesehatan, Aceh, 23231, Indonesia, Sabrida Oktalia , Sari Yuni ,   Department Of Midwifery, Politeknik Kesehatan Aceh, Kementerian Kesehatan, Aceh, 23231, Indonesia
Published: June 2024

Introduction: Preeclampsia is a serious complication that affects pregnant women and poses risks to both maternal and fetal health. Understanding the relationship between swimming training and the risk of preeclampsia is crucial in developing comprehensive guidelines and exercise programs. This knowledge can empower pregnant women and healthcare professionals to utilize swimming as part of a strategy for preventing and managing preeclampsia. Materials & Methods: The research method involved a thorough literature search in various sources such as electronic databases, journals, and other related articles. Inclusion criteria were set to select studies relevant to the research topic. The results of the literature search were systematically analyzed and synthesized. Results: According to the findings of this study, swimming training has a significant role in preventing preeclampsia during pregnancy. Engaging in regular swimming exercises during pregnancy can effectively reduce the risk of developing preeclampsia. The underlying mechanisms that contribute to this preventive effect include improved blood circulation, better control of blood pressure, and a reduction in inflammation within the body. These research findings hold important implications for the development of comprehensive guidelines and exercise programs specifically designed for pregnant women. By incorporating swimming as a part of the prevention and management strategy for preeclampsia, pregnant women and healthcare professionals can benefit greatly Conclusions: The effectiveness of swimming training in preventing preeclampsia during pregnancy by improving blood circulation, blood pressure control, and reducing inflammation
The Effect Of Health Education Using Comic Media On Knowledge And Attitude Towards Personal Hygiene Among Adolescent Girls In Dayah Insan Qur’ani, Sukamakmur District, Aceh Besar Regency
Authors:   Department Of Midwifery, Politeknik Kesehatan Aceh, Kementerian Kesehatan, Aceh, 23231, Indonesia, Sarti Putri Soleman , Anita Anita ,   Department Of Midwifery, Politeknik Kesehatan Aceh, Kementerian Kesehatan, Aceh, 23231, Indonesia, Yusnaini Yusnaini ,   Department Of Midwifery, Politeknik Kesehatan Aceh, Kementerian Kesehatan, Aceh, 23231, Indonesia, Fitraniar Iin ,   Department Of Midwifery, Politeknik Kesehatan Aceh, Kementerian Kesehatan, Aceh, 23231, Indonesia, Magfirah Magfirah ,   Department Of Midwifery, Politeknik Kesehatan Aceh, Kementerian Kesehatan, Aceh, 23231, Indonesia, Ramli Nurlaili ,   Department Of Midwifery, Politeknik Kesehatan Aceh, Kementerian Kesehatan, Aceh, 23231, Indonesia
Published: June 2024

Introduction: Proper personal hygiene is essential for adolescent girls’ health and well-being. However, many adolescent girls lack knowledge and have negative attitudes towards personal hygiene. Health education using engaging media, such as comics, can be an effective approach to improve knowledge and attitudes in this population. Objective: This study aims to investigate the effect of health education using comic media on the knowledge and attitudes of adolescent girls towards personal hygiene. Methods: This was a quasi-experimental study with a pre-post design. The study involved 75 adolescent girls from Dayah Insan Qur’ani, Sukamakmur District, Aceh Besar Regency. Data on knowledge and attitudes were collected through questionnaires before and after the provision of a health education comic. Results: The results showed that before the comic intervention, the majority of respondents had poor knowledge (64.6%) and negative attitudes (56.9%) towards personal hygiene. After the intervention, the proportion of respondents with poor knowledge decreased to 55.5%, and most (56.9%) had a positive attitude. Statistical analysis indicated a significant effect of the comic-based health education on both knowledge (p < 0.05) and attitudes (p < 0.05) of the adolescent girls. Conclusion: Health education using comic media is effective in improving the knowledge and attitudes of adolescent girls towards personal hygiene. This suggests that comics can be a valuable educational tool to promote better personal hygiene practices among adolescent girls.
Revisiting Scalp Tissue Expander In Indonesia: Restoration Of Cicatricial Alopecia
Authors:   Plastic, Reconstructive And Aesthetic Surgery Division Of Haji Adam Malik Hospital Medan, Plastic, Reconstructive And Aesthetic Surgery Division Of Setiabudi Hospital Medan Corresponding Author: Agnesia Alyssa, Alyssa Agnesia , Azhar Hashfi ,   Plastic, Reconstructive And Aesthetic Surgery Division Of Haji Adam Malik Hospital Medan, Plastic, Reconstructive And Aesthetic Surgery Division Of Setiabudi Hospital Medan Corresponding Author: Agnesia Alyssa, Buchari Frank ,   Plastic, Reconstructive And Aesthetic Surgery Division Of Haji Adam Malik Hospital Medan, Plastic, Reconstructive And Aesthetic Surgery Division Of Setiabudi Hospital Medan Corresponding Author: Agnesia Alyssa, Dewi Felicia ,   Plastic, Reconstructive And Aesthetic Surgery Division Of Haji Adam Malik Hospital Medan, Plastic, Reconstructive And Aesthetic Surgery Division Of Setiabudi Hospital Medan Corresponding Author: Agnesia Alyssa
Published: June 2024

Background: Scalp alopecia from burn injuries significantly impacts physical appearance and psychological well-being, often leading to social phobia. Tissue expanders have been effective in reconstructive surgeries, offering advantages in restoring hair-bearing scalp areas with excellent color and texture match. However, comprehensive algorithms for their use, particularly in Indonesia, are lacking. Case Presentation: A 10-year-old girl with cicatricial alopecia on the right lateral, frontal, and vertex of the scalp from a burn injury sought reconstructive surgery due to teasing from peers. A 400 mL round silicone expander was implanted and gradually expanded over five weeks. Reconstruction surgery advanced the expanded flap towards the frontal area, improving her hairline. Despite minor necrosis at the flap’s distal margin, which healed by secondary intention, the outcome was favorable. Discussion: This case demonstrates the effectiveness of tissue expanders in scalp reconstruction. Benefits include improved cosmetic outcomes and decreased donor site morbidity, though complications such as infection and alopecia in the expanded tissue require careful management. The underutilization of tissue expanders in Indonesia may be due to lack of insurance coverage and limited local availability. Conclusion: Scalp tissue expansion is a beneficial technique for reconstructing scalp defects, especially in burn-induced alopecia. Wider adoption in regions with limited advanced modalities could significantly benefit patients.
“Lai ghép” - Sự tạo sinh các dạng thức văn hóa mới: Trường hợp Phạm Quỳnh và Nam Phong tạp chí
Authors: Trần Thị Tươi
Published: June 2024

Trong bối cảnh xung đột giữa văn hóa Đông - Tây và truyền thống - hiện đại đầu thế kỷ XX, Phạm Quỳnh là một trong những trí thức đương thời để lại dấu ấn sâu đậm trong cách thức tiếp cận nền văn hóa mới của mình với chủ trương lai ghép văn hóa. Dựa trên khái niệm“Lai ghép” (Hybridity) một trong những khái niệm chủ chốt của lý thuyết hậu thực dân, bài viết tập trung nghiên cứu chủ trương lai ghép văn hóa ở Phạm Quỳnh trên Nam Phong tạp chí với những đề xuất như: điều hòa tân - cựu, thổ nạp Á - Âu, kết hợp đạo đức Đông Á với khoa học Tây Âu, xây dựng một nền quốc văn mới trên tinh thần hợp nhất Đông - Tây, kết hợp cái đẹp Hán văn với cái đẹp Pháp văn… Qua đó, có thể thấy đã có lúc “lai ghép” được xem như một ưu tiên lựa chọn không chỉ ở Phạm Quỳnh mà còn ở nhiều trí thức thuộc địa lúc bấy giờ.
Nghĩ về chữ "tài" trong “Đoạn trường tân thanh” của Nguyễn Du
Authors: Đoàn Trọng Thiều
Published: June 2024

Đoạn trường tân thanh (Truyện Kiều) của Nguyễn Du là tác phẩm lớn, chứa đựng triết lý nhân sinh và tài năng của người nghệ sĩ. Lâu nay, nhiều người vẫn quan niệm “tài” và “mệnh” trong Đoạn trường tân thanh thể hiện mối quan hệ có tính quy luật: xung đột/ tương đố. Nhưng thực tế tác phẩm, qua hình tượng nhân vật, Nguyễn Du đã cho người đọc thấy rõ chữ “tài” có khả năng vượt lên trên, hóa giải chữ “mệnh”. Tài năng chính là giá trị, phẩm chất quan trọng của con người, bên cạnh đạo đức. Không chỉ tài năng khoa học mà tài năng ở lĩnh vực sáng tạo nghệ thuật, phẩm chất nghệ sĩ cũng cần được đề cao. Đây cũng là một trong những đóng góp của Nguyễn Du cần được ghi nhận khi tiếp nhận Đoạn trường tân thanh.
Comparison of the accuracy to predict falls of the figure of 8 walk test with and without dual-task in older adults
Authors:   , Nualyong Tidarat
Published: June 2024

Background: The figure of eight walk test (F8W) is a measurement tool that examines the ability to walk on a curved path. Adding secondary tasks to the F8W test may increase its ability to predict falls in older adults. This research aimed 1.) to examine the accuracy of the F8W test and the F8W test with dual-tasking for predicting future falls in older adults; 2.) to investigate the reliability and the concurrent validity of the F8W test with and without dual-task in older adults. Methods: Eighty older adults between the ages of 60 and 80 were recruited. At the beginning of the study, participants completed the standard F8W test, F8W+cog (walking while doing serial subtractions by threes) and F8W+motor (walking while carrying a glass of water on the tray with one hand). The number of falls was documented during a six-month follow-up. The area under the receiver operating characteristic curve (AUC) was used to compare the accuracy for predicting falls. The cut-off points and the psychometric properties of the tests were computed. Sixteen older adults were recruited for reliability and the concurrent validity of the F8W test with and without dual-task in older adults. Results: The F8W+motor time was the most accurate for predicting falls in older adults, with an AUC of 0.74, whereas the standard F8W and the F8W+cog time both had AUCs of 0.69. The F8W+motor’s optimal cut-off score was > 12 s, with a sensitivity of 76.5% and a specificity of 65.1%. The time and step counts of F8W, F8W+cog, and F8W+motor demonstrated excellent intra-rater and inter-rater reliability (ICC3,3 = 0.95–0.99 and ICC2,3 = 0.92–0.99, respectively). The F8W, F8W+cog, and F8W+motor time were all considerably well correlated to excellently correlated with TUG (r = 0.89, 0.80, and 0.88, respectively). The F8W, F8W+cog, and F8W+motor steps were moderately correlated with TUG (r = 0.62, rs = 0.63, and r = 0.52, respectively). Conclusion: The F8W with a motor task time was a more potent tool for detecting fall risk than the standard F8W or the F8W+cog. Clinicians may utilize the F8W+motor time as preliminary guidelines when making clinical judgments concerning older adults who are at risk of falling.
ผลของการเดินแบบนอร์ดิกในน้ำต่อการทำงานของหลอดเลือดสมองและภาวะพุทธิปัญญาบกพร่องในผู้สูงอายุที่เป็นโรคเบาหวานชนิดที่ 2
Authors:   , พลอยแดง ธวัชชัย
Published: June 2024

การศึกษาวิจัยนี้มีวัตถุประสงค์เพื่อศึกษาผลของการเดินแบบนอร์ดิกในน้ำต่อการทำงานของหลอดเลือดสมองและภาวะพุทธิปัญญาบกพร่องในผู้สูงอายุที่เป็นโรคเบาหวานชนิดที่ 2
กลุ่มตัวอย่างเป็นผู้สูงอายุที่เป็นโรคเบาหวานชนิดที่ 2 อายุระหว่าง 60 ถึง 74 ปี จำนวน 33 คน แบ่งออกเป็น 2 กลุ่ม ได้แก่ 1) กลุ่มควบคุมที่ไม่ได้รับการโปรแกรมการฝึก (CON) จำนวน 17 คน และ 2) กลุ่มฝึกด้วยการเดินแบบนอร์ดิกในน้ำ (NWW) จำนวน 16 คน กลุ่ม NWW ได้รับการฝึกแบบต่อเนื่องที่อุณหภูมิของน้ำระหว่าง 34 ถึง 36 องศาเซลเซียส ครั้งละ 40 นาทีที่ความหนัก 40-60 เปอร์เซ็นต์ของอัตราการเต้นหัวใจสำรอง จำนวน 3 ครั้งต่อสัปดาห์ เป็นระยะเวลา 12 สัปดาห์ โดยในสัปดาห์ที่ 1 ถึง 6 ทำการฝึกที่ความหนัก 40-50 เปอร์เซ็นต์ของอัตราการเต้นของหัวใจสำรอง และสัปดาห์ที่ 7 ถึง 12 ทำการฝึกที่ความหนัก 50-60 เปอร์เซ็นต์ของอัตราการเต้นของหัวใจสำรอง ส่วนกลุ่ม CON ให้ดำเนินกิจวัติประจำวันแบบปกติ ก่อนและหลัง 12 สัปดาห์ ทำการทดสอบตัวแปรด้านสรีรวิทยา หน้าที่การทำงานของหลอดเลือด หน้าที่การทำงานของหลอดเลือดสมอง สุขสมรรถนะ พุทธิปัญญา และสารชีวเคมีในเลือด ทำการวิเคราะห์ข้อมูลเปรียบเทียบก่อนและหลังการฝึก และเปรียบเทียบระหว่างกลุ่มด้วยการทดสอบความแปรปรวนสองทางแบบวัดซ้ำ 2x2 (กลุ่มxเวลา) และเปรียบเทียบความแตกต่างแบบรายคู่โดยใช้วิธีการทดสอบของแอลเอสดี
ภายหลังการฝึก 12 สัปดาห์ พบว่า กลุ่ม NWW มีค่าน้าหนักตัว ดัชนีมวลกาย มวลไขมัน เปอร์เซ็นต์ไขมันของร่างกาย อัตราการ
เต้นของหัวใจขณะพัก และความดันโลหิตขณะพักลดลง (all p<0.05) และมีค่าการทดสอบนั่งเก้าอี แล้วเอื อมแตะปลายเท้า เอื อมแตะหลัง ลุก
นั่ง งอแขน การเดินและกลับตัว 3 เมตร เดิน 6 นาที และยกขาซอยเท้าอยู่กับที่ 2 นาที พัฒนามากขึ น (all p<0.05) ในขณะที่กลุ่ม CON ไม่พบ
การเปลี่ยนแปลง กลุ่ม NWW มีระดับน้าตาลในเลือดหลังอดอาหาร น้าตาลสะสมในเลือดและภาวะดื อต่ออินซูลินลดลง (all p<0.05) กลุ่ม
NWW มีคลื่นความดันชีพจรระหว่างต้นแขนและข้อเท้าลดลง แต่มีการขยายตัวของหลอดเลือดหลังการปิดกั นการไหลเวียนของหลอดเลือดเบล
เคียลและความสามารถในการขยายของผนังหลอดเลือดเพิ่มขึ น และมีค่าสูงกว่ากลุ่มควบคุม (all p<0.05) กลุ่ม NWW มีค่าดัชนีความต้านทาน
การไหลเวียนของเลือดในหลอดเลือดสมองมิดเดิลเซเรบรอลอาร์เทอร์รี่ ในสภาวะคาร์บอนไดออกไซด์ปกติลดลง และดัชนีความสามารถในการ
ไหลของเลือดในหลอดเลือดสมองในสภาวะคาร์บอนไดออกไซด์สูงเพิ่มขึ น และมีคะแนนภาวะพุทธิปัญญาเพิ่มขึ น (all p<0.05) ในขณะที่กลุ่ม
CON ไม่มีพบการเปลี่ยนแปลง นอกจากนี ยังพบว่ามีค่าการเปลี่ยนแปลงของคะแนนการประเมินพุทธิปัญญามีความสัมพันธ์เชิงบวกกับการ
เปลี่ยนแปลงของระดับบีดีเอ็นเอฟ (r=0.424, P=0.014)
สรุปได้ว่า การฝึกเดินแบบนอร์ดิกในน้ามีความปลอดภัยและมีประสิทธิภาพทางการพัฒนาการควบคุมน้าตาล หน้าที่การท้างาน
ของหลอดเลือด การตอบสนองของหลอดเลือดสมอง สุขสมรรถนะ และพุทธิปัญญาในผู้สูงอายุที่เป็นโรคเบาหวานชนิดที่ 2
อิทธิพลของพฤติกรรมการใช้งานทวิตเตอร์ต่อความสุขเชิงอัตวิสัยโดยมีการเห็นคุณค่าในตนเองเป็นตัวแปรส่งผ่านและการรับรู้การสนับสนุนทางสังคมเป็นตัวแปรกำกับ
Authors:   , ถนอมรอด กิตติภพ
Published: June 2024

การวิจัยนี้มีวัตถุประสงค์เพื่อศึกษาความสัมพันธ์ระหว่างพฤติกรรมการใช้งานทวิตเตอร์แบบแอคทีฟ (active) และความสุขเชิงอัตวิสัย และสำรวจการเห็นคุณค่าในตนเองในฐานะตัวแปรส่งผ่าน โดยมีการรับรู้การสนับสนุนทางสังคมจากผู้ใช้งานอื่นในเครือข่ายมาเป็นตัวแปรกำกับความสัมพันธ์ กลุ่มตัวอย่างในการวิจัยนี้เป็นนิสิตจุฬาลงกรณ์มหาวิทยาลัย อายุ18-22 ปี จำนวน 207 คน แบ่งเป็นเพศชาย 43 คน และเพศหญิง 164 คน โดยที่กลุ่มตัวอย่างต้องมีการใช้งานทวิตเตอร์ในลักษณะที่มีการปฏิสัมพันธ์ มีส่วนร่วมในกิจกรรมกับชุมชนและเครือข่ายของตนเอง และมีการทวีตข้อความลงในทวิตเตอร์ของตนเอง ภายใน 1 เดือนก่อนการเก็บข้อมูล ผู้วิจัยใช้การวิเคราะห์ถดถอย โมเดลการกำกับอิทธิพลการส่งผ่าน (moderated mediation model) ในการทดสอบสมมติฐานการวิจัย ซึ่งผลการวิเคราะห์พบว่า พฤติกรรมการใช้งานทวิตเตอร์แบบแอคทีฟมีความสัมพันธ์ทางบวกกับการรับรู้การสนับสนุนทางสังคม (r = .62, p < .01) และความสุขเชิงอัตวิสัย (r = .20, p < .01) อย่างมีนัยสำคัญ ในขณะที่มีความสัมพันธ์กับการเห็นคุณค่าในตนเอง (r = .10, p > .05) ไม่แตกต่างจากศูนย์อย่างมีนัยสำคัญ ซึ่งจากการทดสอบสมมติฐานพบว่า พฤติกรรมการใช้งานทวิตเตอร์แบบแอคทีฟไม่มีอิทธิพลต่อการเห็นคุณค่าในตนเองอย่างมีนัยสำคัญทางสถิติ (b = -.02, p > .05) ซึ่งไม่พบอิทธิพลของการเห็นคุณค่าในตนเองในฐานะตัวแปรส่งผ่านความสัมพันธ์ระหว่างพฤติกรรมการใช้งานทวิตเตอร์แบบแอคทีฟและความสุขเชิงอัตวิสัย และไม่พบอิทธิพลของการรับรู้การสนับสนุนทางสังคมในฐานะตัวแปรกำกับความสัมพันธ์ระหว่างพฤติกรรมการใช้งานทวิตเตอร์แบบแอคทีฟและการเห็นคุณค่าในตนเอง (b= .02, p > .05) ในขณะที่พบอิทธิพลของการรับรู้การสนับสนุนทางสังคมในฐานะตัวแปรกำกับความสัมพันธ์ระหว่างพฤติกรรมการใช้งานทวิตเตอร์แบบแอคทีฟและความสุขเชิงอัตวิสัย (b = .07, p < .05) ซึ่งโมเดลการกำกับ สามารถทำนายความแปรปรวนของความสุขเชิงอัตวิสัยได้ร้อยละ 62 อย่างมีนัยสำคัญทางสถิติ (R2 = .62, F(7, 199) = 64.29, p < .01)