bluuebunny/crossref_metadata_2025 huggingface dataset:
The Marketing practices: Satisfaction leads to Loyalty – Brand Propensity of IOB Puducherry
Authors: - Arunkumar.V , - S. Pougajendy
Published: January 2025

This study aims to investigate the relationship between customer satisfaction and loyalty in the context of Indian Overseas Bank's (IOB) banking practices. The research employs a mixed-methods approach, combining both quantitative and qualitative data collection and analysis methods. A structured questionnaire is used to collect data from a sample of 110 customers. The study uses various statistical tools, including percentage analysis, chi-square test, ANOVA, Pearson correlation, and regression analysis, to analyses the data.
The research objectives include identifying consumer preferences towards personalization of services, finding the problems faced by customers in the bank, assessing customer satisfaction towards IOB's services, evaluating the proactive customer support provided by the bank, and examining the bank's involvement in fostering community engagement.
The study's findings are expected to provide valuable insights into the relationship between customer satisfaction and loyalty in the banking sector, and offer recommendations for IOB to improve its services and enhance customer satisfaction and loyalty. The research contributes to the existing literature on customer satisfaction and loyalty, and provides a framework for banks to develop effective strategies for improving customer relationships and loyalty.
Identification of Failure Modes in DFMEA Through Application of Integrated Model of Product Functions (PF) and 7 Potential Failure Modes (7PFM)
Authors: - Prem Y Borse , - Dr. Nilesh Ware
Published: January 2025

Identification of potential failure modes in DFMEA is the most crucial step which often takes time. Therefore, the team conducting DFMEA should have ready reference to easily identify potential failure modes. The purpose of this study is to introduce a model to identify potential failure modes when the functions of the product are known but the product is not realized. Model proposed in this research can be utilized for complex product/system with multiple sub-systems that has to carry out multifaceted functions. Proposed new model is amalgamation of 7PFM model with Product Function (PF) relationship concept. This new model is then utilized to identify potential failure modes during DFMEA conducted for a land munition system. A new approach of numbering the causes of failure modes based on their significance is also introduced in this study. Identified causes having high importance are further treated as different risks for which corrective actions are proposed in DFMEA. Our study through implementation of integrated model in land munition system suggests that the model helps in smooth identification of failure modes, saving of time in completing DFMEA, identifying causes effectively and determining various risks to the product.
Recruitment and Selection Process and Its Evaluation at Emergence Learning Solutions
Authors: - Avneet Kaur , - Dr. Amarjit R Deshmukh , - Mr. Yashwant Kumar , - Dr. Rohtash Kumar
Published: January 2025

Recruitment and selection are at the heart of building a strong and talented team that drives an organization’s success. For Emergence Learning Solutions, these processes are more than just hiring steps—they are about finding people who can bring fresh ideas, collaborate effectively, and adapt to a fast-changing world. This paper takes a closer look at how the company identifies and evaluates talent, blending traditional recruitment methods with innovative tools like psychometric assessments and data-driven decision-making.
By using a variety of approaches, including partnerships with educational institutions and advanced applicant tracking systems, Emergence Learning Solutions ensures it stays ahead in the competitive Learning and Development (L&D) industry. The paper also highlights the company’s commitment to fostering diversity and inclusion, ensuring every new hire aligns with its values of creativity, teamwork, and continuous learning. In addition, the study discusses challenges, such as competing for top talent, and provides actionable solutions to keep the company thriving in today’s dynamic environment.
A Study on Impact of Automation and Workforce Dynamics in Ponlait Cooperative Society
Authors: - Vishnu Priyan J , - Pougajendy
Published: January 2025

This research explores the effects of automation on workforce dynamics within Ponlait, a leading dairy producer. As industries increasingly adopt advanced technologies, the integration of automation into Ponlait’s operations has resulted in notable changes to labor practices, productivity levels, and organizational efciency. The study examines the inuence of automation on job roles, required skills, and employees’ adaptability. Employing both qualitative and quantitative approaches, it evaluates how the company balances technological advancements with workforce stability. Key outcomes reveal that automation simplies repetitive tasks, improves precision, and enhances cost-effectiveness, while also presenting challenges such as workforce displacement and the demand for skill development. Furthermore, the study examines employee perspectives on automation and the company’s strategies to create a collaborative atmosphere where human skills and automated systems work together effectively. The ndings aim to guide the alignment of technological progress with workforce growth, promoting a balanced and sustainable transition. This research contributes to the broader understanding of how technology and labor intersect in the modern industrial landscape.
Technical Implementation of Modern AI-Powered Chatbots: Architecture and Systems Design
Authors: - Dr. Rohith Vangalla
Published: January 2025

This technical article examines the architecture, implementation, and performance considerations of
modern AI-powered chatbot systems. The article explores various components including natural language
understanding pipelines, dialog management systems, scalability solutions, and advanced features. It
investigates the integration of multiple technologies such as natural language processing, machine
learning, and distributed systems architecture, highlighting their collective role in enhancing user
interactions. The article delves into crucial aspects of chatbot implementation, including context
awareness, personalization capabilities, security measures, and performance optimization techniques.
Additionally, the article covers monitoring and analytics frameworks, as well as emerging trends and
future considerations in chatbot development, providing a comprehensive overview of the current state
and future direction of conversational AI systems.
Smart Solid Waste Management: A Case Study of Ludhiana City
Authors: - Kanav Rishi , - Bhavana Ohri , - Bhupinderpal Singh Dhot
Published: January 2025

The growing challenge of waste management in rapidly urbanizing cities calls for a shift toward more advanced and sustainable solutions. Traditional systems are no longer sufficient to cope with the increasing volume and complexity of waste. Smart waste management, driven by IoT, data analytics, and optimization techniques, offers a transformative approach that enhances operational efficiency, reduces environmental impacts, and promotes social and economic sustainability. This research paper addresses the mounting inefficient waste challenges and waste management system existing in Jalandhar and Chandigarh city so as to prioritize the implementation of these advanced systems in Ludhiana city, ensuring a cleaner, more efficient, and sustainable urban future.
From Grief to Reconciliation: Reading Maternal Experiences in Hope and Emergence
Authors: - Ishab Mishra , - Dharmapada Jena
Published: January 2025

Abstract
Studying the psychological ramifications of maternal experiences, particularly Postpartum Depression (PPD) and its theorization happen to be of immense significance in the era of medical humanities. Researchers and scholars have started defining PPD and exploring various psycho-social factors that lead to the cause and sustenance of PPD. The intention behind writing about such private experiences and making them public, however, is not much explored.In this paper, Hope and Emergence: A Journey through Grief and Postpartum Depression (2015) by Kirsten Falsey is analyzed through the lens of maternal theory to find out the various socio-cultural factors that cause and intensify Falsey’s experiences of PPD. The paper examines various narrative techniques the author employs to represent her experiences of PPD. Additionally, the writer’s intention behind writing this memoir and making her private experiences public is explored utilizing the principles of theory of intentionality.
Designing for Sustainability: Environmental Impact of Vertical Green Systems on the West Facade using Innovative Techniques - A Building Case in Dhaka.
Authors: - Imran Ebne Amin , - Nujaba Binte Kabir
Published: January 2025

Dhaka, the capital of Bangladesh, is a densely populated city where urban development largely ignores the concept of greenery, resulting in adverse environmental impacts. As a result, the city is experiencing higher temperatures, poor air quality, biodiversity loss, and limited horizontal green spaces. This study examines the potential of integrating Wood Plastic Composite (WPC) louvers with Vertical Green Systems as a sustainable solution for tropical climates. This paper explores a six-story local office building, designed with the involvement of one of the authors, which has a west-facing orientation and regularly receives solar radiation. Integrating these techniques successfully reduces the environmental impact and promotes habitats for urban fauna and users’ well-being. Based on frequent observations, the paper highlights the benefits and offers recommendations for future design practices.
Comparative Performance Analysis of Large Language Models in Generative Business Intelligence: Insights from Llama3 and BambooLLM
Authors: - Bhavesh Jaisinghani , - Saurabh Aggarwal
Published: January 2025

This study addresses the critical gap in Large Language Model (LLM) evaluation for business intelligence by conducting a rigorous comparative analysis of Llama3-70b-8192 and BambooLLM across five key data analysis tasks. Utilizing the AdventureWorks Cycle dataset, we developed a comprehensive evaluation framework measuring task efficiency, weighted accuracy, and misinterpretation rates. Results demonstrate that Llama3-70b-8192 outperforms BambooLLM with a 40% lower misinterpretation rate and 25% higher task efficiency across structured and interpretive business intelligence challenges. This study highlights the potential for optimizing fine-tuning strategies for task items that combine structured and interpretive elements, offering valuable insights for optimizing fine-tuning strategies and informing future research directions in LLM evaluation for business intelligence applications.
Nurturing Cognitive, Artistic, and Emotional Growth by Creative Collaborative techniques: Indian Practices
Authors: - Arpit Bankar , - Shanti Sankara Krishnan , - Pranjali Patil , - Apurva Wadekar
Published: January 2025

Creative endeavors often need more than one mind in conceptualization and execution [1]. In recent years both companies and research communities call for collaborative work practices and user-centred approaches in various design fields. Implementation of such practices at the university would surely help build individuals self esteem and high interpersonal skills. It would prepare them in a unique way for the competitive world. This paper seeks to explore the facet of Collaborative Design on the simple art of Rangoli or Kolam making, kila making and aims to raise curiosity on the relevance and existence of Collaboration in other traditional practices.
Proactive Risk Management in Financial Transactions: A Hybrid ML Approach
Authors: - Mithun Kumar Pusukuri
Published: January 2025

This article presents an innovative hybrid machine-learning framework to enhance proactive risk management in financial transactions. The framework combines continuous feedback mechanisms with real-time observability capabilities to address the growing challenges of fraud detection in digital
payments. The system achieves superior anomaly detection while maintaining minimal latency by integrating supervised and unsupervised learning techniques with uncertainty-based deep learning. The framework's adaptive learning capabilities and enhanced transparency features provide financial institutions with robust tools for combating emerging fraud patterns while improving operational efficiency. The solution significantly improves security measures and user authentication accuracy by implementing advanced behavioral biometrics and blockchain-based verification systems.
A Review on Technological Innovations in Education
Authors: - JannathlFirdouse Mohamed Kasim
Published: January 2025

Technological developments have brought about new approaches, more accessibility, and improved learning outcomes, drastically altering the educational scene. Through an analysis of its advantages, disadvantages, and promises for the future, this study investigates the complex effects of technology in education. This study highlights how important technology is in forming contemporary educational institutions by looking at trends like e-learning, artificial intelligence, and immersive technologies. The necessity of addressing inequalities such as the digital divide and the requirement for inclusive, flexible, and sustainable educational systems are also emphasized. The information offered aims to assist stakeholders in utilizing technology to improve innovation and equity in education.
Review on Buccal Drug Delivery Systems
Authors: - Hezam Saleh Mohammed Dhaifallah
Published: January 2025

Buccal drug delivery systems represent a promising frontier in pharmaceutical technology, offering a non-invasive route for drug administration that bypasses the gastrointestinal tract and hepatic first-pass metabolism. This method leverages the buccal mucosa’s rich vascularization and permeability to enhance drug bioavailability. Recent advancements have focused on developing mucoadhesive films, tablets, and patches that ensure prolonged contact with the mucosal surface, improving drug absorption and patient compliance. Future innovations are expected to incorporate nanotechnology and bioadhesive polymers to further optimize drug release profiles and therapeutic efficacy. Additionally, the integration of smart drug delivery systems, capable of responding to physiological conditions, holds significant potential for personalized medicine. As research progresses, buccal drug delivery systems are poised to become a cornerstone in the administration of biologics and other complex therapeutics, addressing challenges such as enzymatic degradation and poor solubility.
Synthesis and Characterization of Salicylic acid-derived Thiadiazol coupled Resorcinol for Textile Application on Terrycloth, Nylon, and Cotton Fiber
Authors: - Satish V. jadhav , - P. R. Jagnit , - Y. I. Biradar , - N. S. Thakare
Published: January 2025

This study reports the synthesis, characterization, and application of a new azo-linked compound, 4-{(E)-[5-(2-hydroxyphenyl)]-1,3,4-thiadiazol-2-yl,diazenyl}benzene-1,3-diol, for textile applications. The compound was synthesized via diazotization and coupling reactions, with its structure confirmed by FT-IR, ¹H-NMR, and ¹³C-NMR spectroscopy. The dye’s fastness properties were assessed on Terrycloth, nylon, and Cotton Mesh under different conditions: neutral, alkaline (NaOH), and acidic (HCl) environments. Terrycloth exhibited excellent fastness properties across all tests, with minimal color fading. Nylon showed moderate resistance in neutral and acidic environments but was less stable under alkaline conditions. Cotton Mesh the lowest fastness, particularly under alkaline conditions, due to its cellulose-based structure, making it more prone to dye leaching. These results indicate the suitability of Terrycloth and Nylon for high-performance textile applications requiring color durability.
Achieving Health Equity and Resilience: Leveraging Information for Sustainable Global Health Solutions
Authors: - Saksham Parolia , - Nupur Lilaramani , - Nameeda Khaiser Syeda , - Apoorva Mahajan , - Sriram Subramani
Published: January 2025

The report explores the transformative potential of data-driven approaches in achieving global health equity and resilience, aligned with the 2030 Agenda for Sustainable Development. The paper emphasizes the interconnections between social, economic, and environmental dimensions in addressing health challenges and advancing the Sustainable Development Goals (SDGs). Leveraging evidence-based research and real-world data, the paper advocates for innovations like Big Data, Artificial Intelligence (AI), and Machine Learning (ML) to inform health policies and strengthen global health systems.

Case studies such as Ethiopia’s Health Management Information System (HMIS) and Nigeria’s SORMAS (Surveillance Outbreak Response Management and Analysis System) illustrate how timely, reliable health data enhances decision-making, resource allocation, and crisis response. The commentary underscores the importance of equity in healthcare access, highlighting initiatives that reduce disparities in underserved populations while addressing systemic barriers, such as the digital divide and privacy concerns.

The analysis also discusses partnerships and collaborations, advocating for public-private synergies to mobilize resources and foster innovation. Examples like the International AIDS Vaccine Initiative underscore the impact of multi-sectoral cooperation in tackling complex health issues. By prioritizing holistic, integrated healthcare systems, the commentary calls for policies that balance immediate needs with sustainability goals, ensuring adaptability and resilience in the face of evolving global challenges.

Ultimately, the report outlines a pathway for inclusive, technology-driven, and equitable health solutions that advance SDG targets while fostering a healthier, more sustainable world.
MENTAL HEALTH IN THE DIGITAL AGE: CHALLENGES AND OPPORTUNITIES
Authors: - Adv. Sejal S
Published: January 2025

The digital age has dramatically changed every aspect of life and the way people socialize and communicate, as well as creating problems concerning mental health. Online support network helps, link people to mental health Although linking people to mental health sources and online support networks helps, too much screen time, social comparison, and cyberbullying can lead to anxiety and depression. This study targets vulnerable adolescents and young adults. It suggests coping mechanisms like digital literacy education, as well as policy suggestions to address the ill effects of digital technology on people. The current research found the requirement of equalizing technology with healthy minds of people. In this digital age there must be an effective program in which there is greater importance has been given to mental health which helps to reduce the effects and damages of digital technology and also facilitates support and accessibility but worsens the problems of anxiety, sadness, and social isolation. The advent of the digital era has transformed the way people relate to each other, communicate with each other, and access information in ways that have mixed impacts on mental health. Mental health researchers and practitioners are now increasingly concerned about how digital technology affects mental health. With over 4.5 billion global internet users who are expanding through digital interaction are leading with some issues like cyberbullying, and social comparison and also contributing to mental issues like anxiety despair, and stress . There is also a program that shows promising results in treating all those things that is Digital cognitive-behavioral therapy (CBT) and online programs show promising results in treating anxiety and depression, comparable to traditional face-to-face treatment in understanding and responding appropriately to individual circumstances.
Computational Study on Job Flow Shop Scheduling Using MiniMax Optimizing Algorithm
Authors: - Margia Yesmin , - Md. Abdul Alim
Published: January 2025

Shop scheduling is a critical part of manufacturing systems. The goal is to find an efficient schedule that optimizes system performance. Finding a feasible schedule becomes more difficult as the number of jobs and machines increases. The present research aims to study the computational study of different optimization methods to solve job flow shop scheduling problems. This paper reviews computational research of varying optimization methods to solve job flow shop scheduling problems. We discuss Johnson's algorithm, Campbell, Dudek, and Smith's (CDS) Approach, and Gantt chart and propose a Minimax optimization. This new method has the least processing time in the machine in the current situation. We present substantial computational results using MiniMax optimization techniques. From the result, we can conclude that the proposed algorithm gives less processing time and more frequently an optimal schedule than the other studied methods.
Morphological Characteristics of Pasote Plants (Dysphania ambrosioides L.) Domesticated by Nursery on Several Planting Media
Authors: - Dingse Pandiangan , - Yenny Akselsia , - Readsway Truman Douglas Maramis , - Nelson Nainggolan , - Michael Vallery Loueis Tumbol
Published: January 2025

Indonesia is a country rich in natural resources and diversity, one of which is medicinal plants that grow wild. Indonesian people have long known medicinal plants that have been used for generations, most of them grow wild. There are many types of medicinal plants in Indonesia, one of which is the Pasote plant (Dysphania ambrosioides L.). This medicinal plant has been widely researched for its pharmacological effects and has even been produced by CV. Biovina. To produce a large amount of biomass, it is necessary to carry out domestication. Initial research was carried out for seeding and nurturing media that can grow well. This study aims to determine the morphological characteristics of Pasote (D. ambrosioides L.) plants in several planting media. An experimental experiment in the Biovina experimental garden with five treatments for 5 replicates. The media type is M1-M5. The results of the study on the morphological characteristics of Pasote plants (D. ambrosioides) in several planting media on the 0th to 28th day can be concluded that the morphology of Pasote plants is different in each planting medium. The largest planting medium with the highest number of leaves is 15 leaves in M4 media and the highest Pasote plant is also in M4 medium (sand medium: AB Mix) which is 6,596 cm. The highest percentage of germination was achieved in M4 of 100% and the fastest germination on the 2nd day occurred in Pasir and AB Mix media. The results of this study support good growth in the future for germination for 28 days is Sand : AB Mix media with an average environmental temperature of 26oC, air humidity of 3.3 and pH of the medium of around 6.6. The morphological character is the same as the morphological character when in the field in the original both color, smell, morphological shape of the leaves, roots and stems. The best media can be used in sandy planting media and AB Mix media.
A Case Study of Student Admission Management in Elementary Schools in Makassar: Transparency and Innovation
Authors: - Burhan , - Nurwidyayanti , - Andi Agusniati , - Baharuddin , - Andi Irwandi
Published: January 2025

This study explores the dynamics of student admission management in elementary schools, with a particular emphasis on transparency and innovation. Employing a qualitative case study approach, structured interviews were conducted with 15 elementary school headmasters in Makassar to gain insights into their practices and perspectives. The findings highlight three key themes: transparent communication, fair and inclusive practices, and the transformative role of technology. Transparent communication strategies, such as online registration systems, public information sessions, and detailed scoring criteria, were identified as crucial for fostering trust and ensuring equity. Fair and inclusive practices, including predefined quotas, lottery systems, and anonymous application processing, were shown to minimize bias and promote impartiality. Additionally, technology was found to streamline operational processes, enhance accessibility, and redefine outreach strategies through digital promotion and interactive tools. The study underscores the potential of these practices to improve transparency, inclusivity, and efficiency in school admissions. It provides valuable implications for policymakers and educators, advocating for systemic reforms that prioritize clarity, equity, and stakeholder collaboration. However, the reliance on subjective responses and the small sample size limit the generalizability of the findings. Expanding the participant pool to include diverse stakeholders and employing mixed-method approaches are recommended for future research to enhance reliability and applicability. Overall, this research highlights actionable strategies for fostering fair and transparent admission systems and offers a foundation for ongoing improvements in educational access and equity.
The Integral Role of Strotas in Therapeutics
Authors: - Shikha Liladhar Makde , - Shri Narayan Tiwari , - Vivek Shrivastava , - Omh Prakash Shukla
Published: January 2025

Background- Saptadhatus are the seven basic supportive tissues of the body. In addition, body comprises few updhatus (secondary tissues) also. Each dhatu is composed of innumerable minute paramanus (cells) and each paramanu contains a number of sukshma strotas (pores or channels) through which it receives nutrient materials and expels waste products. Dhatus are thus replete with such pores and in this respect the entire human body is strotomaya (full of strotas).1The strotas means pores or channel and mainly they are classified into two kinds as bahya and abhyantar strotas. According to Acharya Charaka, chikista is classified mainly into 3 types: Daivavyapashraya, yuktivyapashraya and satvavajaya.2 In yuktivyapashraya chikitsa some shamana dravyas are there which directly act on strotas similarly in shodhana we aim at strotas shodhana means clearing channels or pores or detoxification. In satvavajaya chikitsa manovaha strotas plays an important role.Purpose- This conceptual study mainly focuses on therapeutic perspective of strotas.Materials and Methods- Ayurvedic samhitas and their commentaries and modern literature. Result and Conclusion- For treatment of diseases we should know the proper diagnosis of that particular disease and for diagnosis we have to know their lakshans which can be accurately understood only through knowledge about strotas. Also strotas play important role in panchakarma therapy, kriya kalpa etc. In present era most of the diseases are strotorodha janya so clinical significance of strotas is must to know for all the vaidyas.
Analysis on “why?” and “where” recruitment process sometimes fails organizations: A focus on Shortlisting/Screening.
Authors: - Dada I. Lemi
Published: January 2025

The main aim of this study is to analyze the complexity of a recruitment process that causes process biases in the choice of a candidate and suggest a possible approach that can ease one of the critical steps, that is shortlisting or screening, in a recruitment process cycle, to hire a suitable candidate. This process, if not carefully worked out, shall lead to poor decision-making by the Human Resource Management (HRM) team of recruitment in the screening of suitable candidates for interviews. The data sources were collected from existing literature and body of knowledge through desk surveys as well as interviews with recruiters in various organizations and business firms. A Qualitative research methodology was adopted in this study. The method used in collecting the information was Structured and unstructured questionnaires. Judgmental sampling technique was adopted in order to have a true representative of the population. The organizations “NC” (a regulatory body in the Republic of South Sudan), “NP” a government corporation as well as company “JN” which is an Internet Services Provider (ISP), and organization “ARD-Af” which is an upcoming civil society organization in South Sudan were chosen as samples for the study. For the purpose of this study, the researcher has decided to make use of an Excel sheet for the data analysis. The professional attainment of the respondents and their degree of awareness towards shortlisting methods applied in the recruitment process have been highlighted.
Sustainable Watershed Management in Panabo City, Davao del Norte
Authors: - Recson B Engalgado
Published: January 2025

This study evaluated the course of community participation in sustainable management of watersheds in Panabo City, Davao del Norte, in the Philippines. A quantitative, non-experimental research method analyzed the variances, and one-way analysis of variance is used to discuss the finding involving factors that impact community awareness and involvement in watershed activities. This simply means that while stakeholder participation is communicating an alternative way of water management, some barriers exist, such as limited awareness, socio-economic hurdles, and institutional deficiencies. This study shows that most community members do not know their responsibilities in watershed conservation, resulting in participation limitations. Also, the most important factors affecting participation include socio-economic variables like income levels and resource access. It recommends implementing educational campaigns to produce well-informed citizens, integrating local knowledge in decision-making, and formulating incentive strategies such as payments for ecosystem services if the community would engage in using them. Successful case studies show that collective efforts of local communities, NGOs, and government bodies bear fruit in improving watershed conditions. This research is geared toward providing realistic and immediate courses of action toward the promotion of sustainable practices and cooperation of stakeholders so that the integrity and resilience of Panabo's watersheds could benefit greatly from climate change and other environmental challenges.
Architectural Evolution in Distributed Training: From Parameter Servers to Zero Redundancy Systems
Authors: - Aditya Singh
Published: January 2025

The rapid evolution of deep learning models has necessitated fundamental changes in distributed training architectures. This article comprehensively reviews the architectural transformation in distributed training systems, from the traditional parameter server approaches to modern innovations like Ring-AllReduce and pipeline parallelism. The article examines how these architectural advances, coupled with the Zero Redundancy Optimizer (ZeRO), have addressed the critical challenges of memory efficiency and hardware utilization in large-scale model training. The article further analyzes the synergy between architectural innovations and optimization algorithms, particularly focusing on Layer-wise Adaptive Moments optimizer for Batching training (LAMB) and Layer-wise Adaptive Rate Scaling (LARS), which enable stable training with large batch sizes. The article also explores various gradient compression and quantization techniques that reduce communication overhead while maintaining model quality. The analysis reveals how these combined advances have revolutionized the training of large-scale models, enabling unprecedented model sizes while maintaining computational efficiency. The article discusses emerging challenges and future directions in distributed training architectures, particularly focusing on system complexity, fault tolerance, and energy efficiency considerations.
Optimizing Financial Aid Disbursement with Elastic Search AI
Authors: - Gaurav Krishan Ohri
Published: January 2025

Graph database technology has emerged as a transformative solution for modern supply chain
management challenges, addressing the complexities of global networks and data integration. The
technology offers enhanced capabilities in relationship modeling, visibility, traceability, and real-time
decision support across multi-tier supply networks. Through advanced analytics and scalable architecture,
graph databases enable organizations to optimize their operations, reduce disruptions, and improve
supplier relationship management. Implementing these solutions has demonstrated significant
improvements in operational efficiency, cost reduction, and risk mitigation across manufacturing and
distribution sectors. Organizations leveraging graph database technology have substantially enhanced
supply chain resilience, inventory management, and compliance reporting while maintaining agile
responses to market changes.
SHAKESPEARE AND GHALIB : A COMPARATIVE STUDY OF THEIR FIRST SONNET AND GHAZAL
Authors: - Md. Parwez Alam
Published: January 2025

As is said, Shakespeare unlocks his heart in Sonnets, the same is also true to that of Ghalib's ghazals. When we study and examine the quality and beauty of Sonnets and ghazals in a comparative manner, we find remarkable similarities. Let us see the similarities between the first Sonnet of Shakespeare and the first ghazal of the Deewan _e_Ghalib.
Influence Of Social Media On Academic Perfomance Of Undergraduate Students
Authors: - Kabyashree Nanda , - Abhishek Panda
Published: January 2025

The aim of this research was to examine undergraduate students' perceptions of social media usage and its impact on their academic performance at MPC Autonomous College. The study was guided by three objectives, two research questions, and one hypothesis. A descriptive survey research design was employed, focusing on the 811 full-time undergraduate students at MPC Autonomous College in Baripada. Using simple random sampling, a sample of 140 students was selected. Data was collected through a five-point rating scale questionnaire titled "Influence of social media on academic performance of undergraduate students." distributed online via WhatsApp. Descriptive statistics, including frequency counts and percentages, were used to analyse the research questions, while a parametric t-test was employed to test the hypothesis. The findings indicated that a significant number of students frequently use social media, which has a detrimental effect on their academic performance. However, the study also found that students primarily use social media for educational purposes rather than for entertainment. Furthermore, there were no significant differences in social media usage between students in the science and arts streams. The researcher recommends promoting educational use of social media, expanding social networking sites for academic purposes, and encouraging teachers and parents to monitor students' social media usage to maintain a balance between social media engagement and academic responsibilities, thus preventing negative impacts on academic performance.
RAY:-Underwater Robot for Environmental Safety and Monitoring
Authors: - Akhil Vinod V , - Archa R , - Vinaya V S , - Swetha P R , - Reshmi Krishna Prasad
Published: January 2025

In recent years, the demand for advanced human detection technologies has surged, driven by applications
in security, search and rescue operations, and human-robot interaction. This paper presents an innovative
approach to human detection using multiple sensor modalities, including infrared (IR), ultrasonic, and
visual imaging, integrated into a mobile robotic platform. The proposed system aims to enhance detection
accuracy, reduce false positives and improve response times in diverse environments.
The robot is equipped with an array of sensors: infrared sensors detect heat signatures, ultrasonic sensors
measure distance through sound waves, and visual cameras provide real-time image processing
capabilities. The fusion of these data sources is achieved through a multi-layered machine learning
algorithm, allowing the robot to make informed decisions based on the contextual information it gathers.
This approach not only enhances the robot's ability to detect humans in various conditions such as low
light or obstructed views but also enables adaptive learning, allowing the system to improve its accuracy
over time through exposure to diverse scenarios. Testing in real-world environments demonstrates the
effectiveness of the multi-sensor framework. Results indicate a significant reduction in false detection
rates compared to single-sensor systems, highlighting the robustness of the approach. The implementation
of this multi-sensor human detection robot has the potential to transform applications in surveillance,
safety monitoring, and autonomous assistance, paving the way for more intelligent and responsive robotic
systems in the future.
From Literal to Cultural: Advancing Machine Translation with Sociolinguistic and Sentiment-Based Approaches
Authors: - Priyansha , - Taruna Sharma , - Supriya Kumari , - Swastik Goomber , - Priya
Published: January 2025

This study examines the capabilities of machine translation (MT models) in preserving cultural subtleties, specifically when translating content rich in idiomatic expressions, emotional tones, and cultural context. As MT models become increasingly integrated into international communication, concerns have been raised about their ability to accurately capture these nuances. Using movie subtitles as a reference point, the research explores the distinctions between manual and machine translations, analyzing how well MT systems maintain the integrity of the original content. Bias detection methods, cross language consistency testing, and cultural sensitivity scenarios are employed to evaluate and compare AI generated translations against human outputs. The study also uses corpus-based and sentiment analysis, along with sociolinguistic evaluations, to identify the limitations of existing MT models. Survey and user feedback provide additional insights, reinforcing the need for more culturally aware translation algorithms. By leveraging advanced NLP frameworks like Transformer and BERT models, this research suggests adaptations that prioritize cultural nuance over literal accuracy. Ultimately, the goal is to propose solutions that enhance both the accuracy and cultural sensitivity of machine translations, facilitating more effective cross language communication while reducing reliance on time consuming manual translation.
Enhancing Emergency Response: A Comprehensive Review of Technological Solutions
Authors: - Rakshita Sarap , - Mangesh Pangam , - Saish Rane , - Martina Dsouza
Published: January 2025

This review synthesizes five research papers focusing on innovative solutions for emergency communication and response. It examines the development and implementation of chatbot technologies, mobile applications, blockchain frameworks, and location-based services. The findings highlight the potential of these technologies to enhance the efficiency and effectiveness of emergency services in various contexts, including universities and broader public sectors.
Exploring Smart Handcuff Technology a Literature Review of RFID Sensors and System Integration Techniques
Authors: - Karthika Saji , - Reshmaraj P , - Veena Amrithlal
Published: January 2025

This literature review examines the technological advancements relevant to the development of smart handcuffs, focusing on integrating IoT(Internet of Things )-enabled systems for enhanced security and monitoring in law enforcement. The study reviews various projects leveraging technologies such as microcontrollers , GSM/GPS modules for real-time tracking, RFID (Radio Frequency Identification) for secure authentication, and biometric sensors for health and activity monitoring. Additionally, cloud-based IoT platforms for centralized data processing and predictive analytics are discussed. These technologies, while applied in different contexts, offer valuable insights into creating robust, scalable, and efficient smart handcuff systems. Challenges such as power efficiency, data privacy, and real-time system integration are critically analyzed. The paper highlights how these technologies can address existing gaps in law enforcement tools, offering innovative solutions to improve operational efficiency and detainee management. Future directions for research and development in this domain are also outlined.
PECULIARITIES OF DIETHYLAMINE DISTILLATION PROCESS FROM CALCIUM CHLORIDE AQUEOUS SOLUTION
Authors: PANASENKO Volodymyr , DEINEKA Dmytro
Published: January 2025

The research investigates the distillation process of diethylamine ((C₂H₅)₂NH) from aqueous solutions of calcium chloride, which is crucial in the potassium carbonate production process. Despite the significance of phase equilibria for the system CaCl₂ – (C₂H₅)₂NH – H₂O in optimizing distillation processes, the literature lacks comprehensive data, particularly at low pressures. This study aims to bridge that gap by examining the distillation kinetics at pressures of 47.996, 21.331, and 7.999 kPa. Experimental results show that when the calcium chloride content exceeds 27–28% by mass, the solution temperature increases, marking the transition from distillation to more energy-intensive processes due to the formation of hydrates like CaCl₂·12H₂O. The findings highlight that reducing pressure to 7.999 kPa nearly doubles the distillation rate compared to pressures above 21.331 kPa. A general kinetic model was developed, describing the relationship between evaporated water, diethylamine concentration, process time, and pressure. This model, derived from first-order kinetics, allows for accurate predictions of diethylamine content over time without directly accounting for pressure variations. Additionally, the research emphasizes that water evaporation kinetics are closely tied to the diethylamine content, as water evaporation accelerates significantly once the amine concentration drops below a certain threshold. These insights contribute to the development of efficient distillation strategies, minimizing reagent loss, and optimizing steam consumption. The derived equations and models are applicable not only for laboratory experiments but also for scaling up to industrial processes, offering practical tools for technological calculations and improving the sustainability of potassium carbonate production.
DEVELOPMENT AND EFFICIENCY OF USING A HYDRAULIC WOOD CHIPPER AS A TOOL FOR THE PREPARATION OF ALTERNATIVE FUEL
Authors: SHVETS Lyudmila , SHVETS Oleksandr
Published: January 2025

The main question that a person asks himself when he needs to provide heat to his home. In the current, military time in Ukraine: how to do it more profitably, with the current level of comfort? Everyone chooses for himself, manufacturers of energy production equipment (gas, liquid or solid fuel boilers, electric heating devices, solar installations, heat pumps) conduct an active advertising campaign, trying to prove that their equipment is the most profitable and the best. The average consumer, not having relevant experience, usually makes a spontaneous decision, basing his choice on advertising or the seller's beliefs. For the use of alternative fuel resources, namely wood, we offer to consider the development of a hydraulic wood chipper, which makes human labor much easier.
The cheapest way to heat a country house is a boiler running on solid fuel (firewood, anthracite). But it should be understood that together with the relative cheapness of heat with this heating method, a number of problems arise related to fuel storage and the need for constant maintenance of the boiler: its loading, ignition and cleaning. Should you save money and equip your house with a solid fuel boiler, or should you choose a gas boiler (or a liquid fuel one that runs on fuel oil), during which the entire production process is fully automatic? The choice is yours. But in any case, as you can see, stopping your choice on electric heating, solar equipment or a heat pump for no particular reason is probably not worth it yet: these technologies are still too expensive for widespread use today.
At present, firewood was and is the most ecological and economical type of fuel. Therefore, the owners wonder how to make it easier to collect firewood in order to preserve their health.
A log shredder with a hydraulic system is the best assistant for the owner to prepare an alternative source of energy for the heating season. It is easy to operate - you only need to install a deck, press a button or a lever. The log is divided smoothly and without contact with the person, which is over security. The force of the hydraulic system is enormous, reaching 4-6 tons, the shredder can work with different types of wood and at high speed.
Pendampingan Sertifikasi Sistem Verifikasi Legalitas Kayu (SVLK) di PT Devonshire Indotama dalam Meningkatkan Akses ke Pasar Internasional
Authors: Sunardiansyah Yogi Akbar , Ma'rifah Julia Dewi , Prasetya Juliasari , Sabila Maharsi Anis
Published: January 2025

There are lot of cases of illegal logging and illegal trading related to woods trade in the international market require that wood producers to have proof of woods legality. Since 2009, the Indonesian government has implemented the Woods Legality Verification System (SVLK) with the aim of ensuring that woods or wood products traded come from legal sources. In 2022, the level of SVLK implementation is still considered low due to relatively rapid changes in SVLK policies. In large-scale industries, the implementation of the SVLK system has made quite good progress, in contrast to small-scale industries which have various obstacles including 1) Incomplete company legality documents; (2) Incomplete production process documentation; (3) Expensive SVLK certification costs; (4) There is no improvement in the selling price of SVLK-certified woods; (5) Not all destination countries for woods product exports require SVLK certification; (6) Government policies related to SVLK often change. The mentoring program for Wood Legality Verification System (SVLK) participants is an initiative intended to assist and guide business actors in the wood industry to obtain SVLK certification. SVLK certification is an important prerequisite for entering the global market, especially the European market which applies strict regulations regarding wood imports. By obtaining assistance, business actors can more easily meet these requirements and increase their access to the international market. In addition, through the industrial empowerment assistance program, it can increase the capacity of small industries to comply with applicable forestry regulations. From the results of the assistance that has been carried out, PT Devonshire Indotama has successfully obtained SVLK certification from the Certification Institution appointed by the Ministry of Environment and Forestry.
Budidaya Tanaman Jagung Sebagai Bisnis Mandiri
Authors: Latif Adi Sofyana , Arslan Rijal , Ramdani Chaeru Syahru , Septanta Rananda
Published: January 2025

The purpose of this community service is to provide information on how to increase the potential of natural resources located in the Pondok Miri Pamulang area, which is an area that has quite high potential in the corn plant business in general, but currently it has not been utilized optimally by the surrounding community. Currently, most of the corn plants produced are sold individually without knowing the harvest that the accounting information system consumes. This is due to a lack of innovation from the local community. Therefore, corn cultivation is one way that can be done by harvesting quite small or large areas of land that can be put to good use, maintaining nutritional value and increasing economic value. With this cultivation empowerment, it is hoped that it can help improve the economy of the people of South Tangerang and take advantage of the harvest of Corn Plants for social welfare which is more durable and can give rise to various innovations in processing the Corn Plant itself in a sustainable manner.