bluuebunny/crossref_metadata_2025 huggingface dataset:
CONECTANDO CONCEITOS: O IMPACTO DOS MAPAS MENTAIS DIGITAIS DINÂMICOS NA APRENDIZAGEM DE SISTEMAS LINEARES
Authors: Da Ponte Caun Rodrigo , Dantas de Lima Hérik
Published: November 2024

Traditional teaching methods tend to emphasize verbal and linear learning, focusing on isolated information rather than identifying relationships between concepts. However, building meaningful understanding requires visualizing these conceptual interconnections. The shift from a linear approach to integrated network models, such as mind maps, facilitates this knowledge organization, allowing students to develop a deeper understanding of concepts. With the advent of distance learning, additional challenges arise in the production of teaching materials, requiring critical reflection on the potentialities and challenges of digital technologies in pedagogical practice. Therefore, this research investigates the effectiveness of using dynamic digital mind maps (DDMM) in learning Electrical Engineering, focusing on the Linear Systems course. The study aims to evaluate, through a data collection instrument, how mind maps can assist students in understanding mathematical and abstract concepts, highlighting two perspectives: how students learn, and their perceptions of meaningful learning based on Digital Educational Resources. The experience emphasized a lesson plan for knowledge construction in the face of the challenges of 21st-century engineering education, developing competencies and skills for solving real and interdisciplinary problems.
IMPACTOS POSITIVOS DO EXERCÍCIO FÍSICO EM PACIENTES COM SÍNDROME DOS OVÁRIOS POLICÍSTICOS: UMA REVISÃO DE LITERATURA
Authors: Magalhães Vanessa , Mendonça da Costa Thais , Daniela Lima Nascimento Anne , Lopes de Almeida Maria Mauricelia , Lopes da Silva Guilherme , Dias de Oliveira Campos Maíra , Sousa Celestino de Paula Lima Alessandra , Gabriela Lima Nascimento Anne , Menescal Jales Igor , Leôncio de Sousa Arthur , Yane Oliveira de Medeiros Debora , Barbosa Tabuso Fiuza Priscila , Cavalcante Lima Verde Vitória , Kaliane Dantas de Medeiros Isis , Dantas de Lima Fernandes Fernanda
Published: November 2024

A Síndrome dos Ovários Policísticos (SOP) é um dos distúrbios endócrinos mais comumente encontrados na atualidade, afetando cerca de 6% a 10% das mulheres em idade reprodutiva em todo o mundo, e caracteriza-se por um conjunto de sintomas que inclui irregularidades menstruais, hiperandrogenismo e presença de ovários policísticos, além de uma predisposição a complicações metabólicas como resistência à insulina, obesidade e risco cardiovascular aumentado. Tem como principal forma de tratamento uma abordagem multidisciplinar, pautada em mudanças dietéticas e prática de exercícios físicos. Estudos sugerem que a prática regular de atividades físicas pode melhorar significativamente a sensibilidade à insulina, reduzir a adiposidade e melhorar a função ovulatória, além de contribuir para a diminuição dos níveis de testosterona e outros andrógenos. Nesse viés, considerando a relevância do exercício físico para a gestão dos sintomas da SOP e a carência de revisões atualizadas que consolidem esses achados, o presente estudo objetiva revisar a literatura sobre os impactos positivos da prática de atividades físicas em mulheres com SOP, destacando os efeitos sobre parâmetros metabólicos, endócrinos e psicológicos.
EFEITOS DA REABILITAÇÃO FÍSICA NO RISCO DE QUEDAS E NA QUALIDADE DE VIDA DE IDOSOS: UMA REVISÃO DE LITERATURA
Authors: Moraes Mayk Kevin Lobo , Nascimento Ana Beatriz Vicente do , Oliveira Jhennefer Teles , Reis Mariete Freitas dos , Souza Leonardo Brynne Ramos de
Published: November 2024

Objetivo: analisar a eficácia de protocolos de reabilitação física contra quedas em idosos. Métodos: trata-se de uma revisão de literatura, que abrangeu estudos observacionais, que utilizaram intervenções fisioterapêuticas em idosos, publicados entre 2018 e 2023, indexados nas bases de dados PUBMed, Scielo, Lilacs e BIREME em inglês e português. Os artigos incluídos foram avaliados pelo Checklist STROBE. Resultados: um total  de 2.534 artigos foram encontrados com a busca. Porém, sete artigos foram selecionados ao final do processo de revisão, os quais todos cumpriram mais de 50% das exigências do Checklist STROBE. Para todas as intervenções selecionadas, houve resultados estatisticamente significativos, favorecendo as intervenções fisioterapêuticas de fortalecimento nas amostras de cada estudo, com protocolos promovendo ganhos em variáveis físicas e fatores de risco para quedas. Conclusão: Conclui-se que a intervenção fisioterapêutica se mostrou uma abordagem eficaz na prevenção de quedas e, portanto, é essencial em programas para reduzir o risco de quedas.
AN INVESTIGATION INTO THE IMPACT OF EMPLOYEE STRESS MANAGEMENT ON ORGANIZATIONAL PERFORMANCE
Authors: Dr. Anand K
Published: November 2024

Stress is a normal physical response to events that make you feel threatened or upset your balance in some way. When you sense danger – whether it’s real or imagined – the body's defenses kick into high gear in a rapid, automatic process known as the “fight-or- flight” reaction, or the stress response. The present study has been focused in to identify the reasons of employee stress and symptoms of the stress. It has also focused on to analyze whether the management is providing an adequate training facilities to their workers. The purpose of the study is also to identify whether the workers are able to manage their time in their job.
KEY WORDS : job, management, training, stress, symptoms.
Designing Scalable Data Architectures for Enterprise Data Platforms
Authors: - Syed Ziaurrahman Ashraf
Published: November 2024

The explosive growth of data in enterprises necessitates robust, scalable architectures that can efficiently handle diverse data sources and workloads. This paper presents an in-depth exploration of designing scalable data architectures for enterprise data platforms. It discusses critical architectural patterns, including data lakes and warehouses, and delves into the challenges and best practices associated with scalability, performance optimization, and data governance. The paper also provides detailed pseudocode, flowcharts, and diagrams to illustrate these concepts effectively.
Big Data Methods and Analytics for Text, Audio, Video, and Social Media Data Concepts: Methods and Analytics for Text, Audio, Video, and Social Media Data
Authors: - Shikha Tiwari , - Dr. Preeti Bala , - Somi Goel
Published: November 2024

This paper provides a unified description of big data by integrating ideas from academics and practitioners. The primary focus of the paper is the analytical methods applied to big data. The focus this study places on analytics for unstructured data—which accounts for 95% of big data—makes it particularly noteworthy. The massive volumes of data produced by various machine-driven automated systems, including statistical, text, audio, video, sensor, and biometric data, are collectively referred to as "big data." In this essay, we consider the dimensions of various types of large data while addressing their challenges, applications, and problems. In this section, we'll cover social media data analytics along with content-based, text, audio, and video analytics.
Human Capital and Economic Growth
Authors: - Ms Arya Pednekar , - Shubhika Jalan
Published: November 2024

This report thoroughly reviews existing literature in the field of human capital. A rationale has been presented along with seven questions the reviewed literature aims to answer by analytically comprehending an extensive range of relevant research papers and articles categorised into multiple sections followed by the summary and research gap. Since all existing work presents a strong argument in favour of the importance of maximizing the potential of human capital through various forms of investment, this paper seeks to understand whether there is a direct relationship shared by the economic growth and the quality of human capital in the economy. A multiple regression model has been deployed for this purpose and has been applied to data collected from World Bank.
भारतीय बैंकिंग प्रणाली में ई-बैंकिंग का तुलनात्मक अध्ययन
Authors: - ज्योति कपूर भार्गव , - तारा सांखला
Published: November 2024

भारत में बैंकिंग प्रणाली देश के आर्थिक विकास का आधार स्तंभ बनती जा रही है। प्रौद्योगिकी में प्रगति के साथ लोगों की जरूरतो को देखते हुए पिछले कुछ वर्षों में बैंकिंग प्रणाली और प्रबंधन में अत्यधिक परिवर्तन देखे गए हैं। वर्तमान समय में बैंकिंग उद्योग वित्तीय क्षेत्र के सबसे आवश्यक वित्तीय स्तंभों में से एक है और यह अर्थव्यवस्था के संचालन के लिए महत्वपूर्ण है। परिणाम स्वरुप किसी देश की प्रगति का बैंकिंग के विकास से अटूट संबंध है। बैंकिंग प्रणाली में दी जाने वाली ई-बैंकिंग सुविधाओं के द्वारा बहुत ही कम समय में महत्वपूर्ण कार्य किया जा सकता है। ई-बैंकिंग के माध्यम से ग्राहक अपने खाते तक पहुंच सकता है और कंप्यूटर या मोबाइल फोन का उपयोग करके कई लेन-देन संबंधित कार्य भी कर सकता है। प्रस्तुत अध्ययन में सार्वजनिक बैंक (बैंक ऑफ़ बड़ोदा) और निजी बैंक (एचडीएफसी) का एक निश्चित अवधि के अंतर्गत तुलनात्मक अध्ययन करने का प्रयास किया गया है।
Counseling Gen Alpha: Pandemic's Impact on Developmental and Mental Health
Authors: - Ishika Ajay Kumar , - Rashmi Rangaswamy
Published: November 2024

The covid- 19 pandemic has had a widespread impact on global health. Many studies have discussed its effect on various populations and continue to study measures to work on them. The upcoming research has a limited focus on Generation Alpha: individuals born after 2010 who have been exposed to these adverse effects from their formative years: the digital age, social isolation, and environmental stressors. It has left a significant impression on their developmental milestones and mental health for which the healthcare professionals and parents are not fully equipped with. This review paper aims to discuss how the flexible and adaptive nature of counseling can employ strategies to help overcome these problems and assist in the ‘digital pandemic’ that is here to stay. The review method will analyze existing literature using citation tracking, conference proceedings, internet search engines, and primarily through open peer-reviewed electronic databases like PubMed, Research Gate, and ScienceDirect.. The results and implications of the study will be highlighted in the full paper.
Advanced Gaming using Eye Gesture Recognition
Authors: - Omkar Warule , - Sarthak Sarikar , - Kunal Suryawanshi , - Rajat Sarokar , - Manisha Mali , - Sachin R. Sakhar
Published: November 2024

Eye gesture recognition represents a advanced technology in the evolution of human-computer interaction (HCI) and for advanced gaming purpose, ‘particularly in the Scenario of today’s industry, equipping delicate hardware such as’ infrared cameras’, ‘depth sensors’, and ‘electrooculography’ (EOG), with the advance software algorithms including Convolutional Neural Networks (CNN), gaze estimation algorithm, and real-Time tracking frameworks like Filters Kalman.’ By including machine learning, deep learning, and computing algorithms, this technology enabled precise interpretation of gestures, establishing interaction between ‘augmented and virtual reality of today’s tech world’, and set the stage for enhanced user experience in intelligent and human Centric industrial system. ‘This type of development marked by primary challenges such as: the accurate eye detection and the creation of a suitable sign language for eye gesture using movements of the pupil. This research focused on the utilization of CNN Algorithm technique to address these challenges, accounting for differentiation in pose, Orientation, Location, and Scale’. The system detects the eye gesture, pre-processing the image extracted from dataset from platform named Kaggle. The subsequent image analysis is performed using ‘python programming’ and OpenCV, utilizing the theories of eye detection and segmentation to enhance the accuracy of system. ‘The proposed methodology also integrates the histogram-based approach to differentiate among various machine learning algorithms and provide the optimal results for eye gesture analysis’
Study On Mathematical Model For Forecasting of Novel Coronavirus in India
Authors: - Rakesh Kumar
Published: November 2024

This paper reveals that the new coronavirus (Covid-19) is the biggest challenge for the whole world. The World Health Organization (WHO) has declared it an epidemic. The data was collected from 209 different individual WHO situation reports for COVID-19 in India. First, prognostic models were compared based on minimum AIC, MAPE, and MAE. Then the best forecasting models were used on the epidemiologic data of India to predict the epidemiologic pattern of prevalence. New and Total Covid-19 Deaths and Incidence ARIMA and SARIMA have been found suitable and predicted for September 1, 2020. Also, the prophet model is used for accuracy and prediction of the total number of coronavirus cases in India. The predicted values are checked against the past observed values so that the two values are very close. Using such time series models we can forecast for the next 15-20 days and plan accordingly. This kind of projection helps in planning for the future.
A Study on Compensation and Reward System and Its Impact on the Motivational Level of Employees
Authors: - Sejal L , - Veena Ishwarappa Bhavikatti
Published: November 2024

The purpose of this study is to investigate how reward and compensation schemes affect worker motivation while emphasizing the need to humanize the workplace. One of the most important factors influencing employee behavior and satisfaction is compensation, which includes both monetary and non-monetary benefits. To promote long-lasting motivation, firms must take into account comprehensive strategies for worker recognition, well-being, and personal development in addition to monetary incentives.

The study explores a range of pay approaches, including more creative, customized reward schemes and more conventional salary-based systems. It also highlights the necessity of humanized remuneration policies that take into consideration workers' participation, company culture, and unique requirements. Utilizing motivational theories like Herzberg's Two-Factor Theory and Maslow's Hierarchy of Needs, the study looks at how various incentive structures affect both intrinsic and extrinsic motivation
Parenting Stress of Challenged and Non-Challenged Children: A Comparative Perspective
Authors: - Bikash Chandra Ghorai , - Bratati Hazra
Published: November 2024

This study examines parenting stress among parents of challenged and non-challenged children, focusing on dimensions i.e. financial, social, family, and emotional stress. Conducted in Hooghly; Paschim Medinipur; and Kolkata, West Bengal, India, the study involved 200 parents (100 of challenged children and 100 of non-challenged children) across diverse occupations using a survey-based cross-sectional design through conveniently. Findings reveal significant gender and occupational differences in stress levels. Fathers of non-challenged children report higher financial stress, while mothers of challenged children experience greater social stress. Occupational factors influence stress differently across groups; for instance, service professionals report higher family stress among parents of non-challenged children, while farmers of challenged children report the least social stress. Age-related analyses suggest that while financial stress decreases with parenting age in non-challenged groups, emotional and overall stress increase in parents of challenged children as they age. This comparison underscores the specific stressors unique to each parenting context, offering insights into potential areas for support and intervention. The study contributes to understanding how child developmental status, gender, occupation, and age intersect to shape parental stress, thereby informing tailored approaches for alleviating stress and promoting family well-being in varied caregiving contexts.
Holding Stakes in Water Management and Irrigation in Morocco : PIM policy Effects
Authors: - EL HAOUARI NAWAL
Published: November 2024

The main policy reforms concerning irrigation management in Morocco over the last thirty years have been the introduction of mechanisms aimed at achieving financial autonomy of the Administration in charge of irrigation systems managemement -Offices Régionaux de Mise en Valeur Agricoles (ORMVA)- by applying appropriate water pricing and involvement of water users in the operation and maintenance of their irrigation systems, by transferring some responsibilities to water users' associations (AUEA).

These policy reforms were presented by the World Bank projects (PAGI1 and PAGI 2) as crucial steps that Morocco should take to improve the productivity and sustainability of its irrigation sector. After more than thirty years, implementation of these reforms has been fraught with difficulties and many delays. Results and impacts are very timid and vague.

The Moroccan GPI experience shows that an “ingredient” was missing to drive change. In fact, setting up new local organizations to participate in irrigation management and calls for new institutional arrangements to tackle the huge problems of moroccan large scale irrigation sector is not sufficient to drive change. A profound realistic thinking on irrigation governance and large concertation between water users are needed to meet the challenges of water scarcity, climate change and water security in the country.

This article assesses the participation of Water Users' Associations (AUEA) established in Tadla irrigated scheme in Morocco. It reviews the contxt of adoption of the Participatory Irrigation Management (PIM) policy in Morocco and re-examines the process of initiating and developing AUEAs in large irrigated perimeters, analyzing the specific case of the Beni Amir irrigation project. The questions of participatory planning and joint management are at the heart of our analysis.
Privacy Preserving Technologies
Authors: - Nandisha Jindal
Published: November 2024

As the digital world continues to undergo fast change, the need of privacy-preserving technology has increased significantly in order to protect personal data from being accessed and used inappropriately by unauthorised parties. Blockchain technology, the Internet of Things (IoT), and biometrics are all investigated in this study as potential key components for improving privacy and security. A robust framework for securing transactions and data exchanges, ensuring transparency and integrity, is provided by blockchain technology, which features a decentralised and immutable data ledger. Concerns about privacy are raised as a result of the huge volume of sensitive data that is created and transferred by the Internet of Things (IoT), which connects a wide variety of devices. The purpose of this study is to investigate the application of blockchain technology for the purpose of securing Internet of Things settings, with the goal of preserving data integrity and user privacy. Moreover, biometrics, which are a kind of identification and verification that makes use of distinctive physical or behavioural features, are an essential component in the process of enhancing access control and personalised security. Within the scope of this article, we address recent developments in biometric technologies and how they might be used with blockchain technology to provide systems that are both safe and enhance privacy. This study illustrates the potential of various technologies to create a complete framework that protects individuals' privacy and solves the difficulties and possibilities that are presented by the digital age. This potential is shown by analysing the intersection of many technologies.
Upshot of Selected Yoga Exercises and Pranayama on Aggression VO2 Max and Flexibility among Jet set swimmers
Authors: - V.A.MANICKAM , - RENCHU.T
Published: November 2024

The present research involves the experimentation of Upshot of yoga exercise and Pranayama on aggression, VO2 max and flexibility among jet set swimmers. The study was confined to the swimmers of various swimming academy in Kerala. Totally 50 swimmers were selected and they were not familiar with yoga and Pranayama. The selected swimmers were in the age-group between 18 to 21 years. The swimmers were further divided into two groups such as experimental group and control group. The experimental group practiced Yoga asana and 'Pranayama' weekly for five days i.e. Monday to Friday, between 6.00 A.M. to 8.00 A.M., for a period of 8 weeks. which was considered adequate to indicate changes on selected criterion variables, if any. The SMITH aggressive questionnaire was used to assess the aggression of swimmers. VO2 max was measured by Astrand-Astrand Nomogram. Flexibility was measured by sit and reach test with yardstick scale. The swimmers of two groups are tested on selected criterion variables i.e. VO2 max aggression and flexibility prior to and after training period. The analysis of covariance (ANCOVA) was applied to find out the variance in each criterion variables. The level of significance to test and 'F' ratio, obtained by the analysis of co-variance was fixed at .05 level of confidence. From the analysis of the data, the following conclusions were drawn (i.e.) significant increase in maximal oxygen uptake, significant decrease in aggression, significant improvement in flexibility in Yoga exercise and 'Pranayama' training groups.
Comparative Study on the Properties of Fresh and Hardened Concrete Using Metakaolin as Partial Replacement
Authors: - Himshikha Kashyap , - Jayant Supe
Published: November 2024

This study examines the impact of metakaolin as a partial substitute for concrete, analyzing fresh and hardened concrete characteristics. We integrated metakaolin, a pozzolanic substance known for its ability to enhance strength and durability, at various replacement ratios (0%, 5%, 10%, 15%, and 20%) to assess its impact on workability, compressive strength, tensile strength, flexural strength, and resistance to chemical aggression. The workability of fresh concrete went down as the metakaolin content went up. On the other hand, as the metakaolin content went up, the compressive strength, flexural strength, and resistance to acid and sulphate attacks all went up in hardened concrete, though the tensile strength went down a little. The results demonstrate that an ideal metakaolin substitution of around 10–15% can provide significant durability advantages without markedly diminishing workability or tensile strength. This work provides a fundamental understanding for engineers to improve the designs of concrete mixes, especially in situations where chemicals are present.
Ayurvedic Management of Subconjunctival Haemorrhage: A Single Case Report
Authors: - Hridya R , - Rajshree Unadkat
Published: November 2024

Subconjunctival haemorrhage is a very common phenomenon that may result from surgery, conjunctivitis and trauma (from minor unnoticed to severe skull base), but is often idiopathic and apparently spontaneous, particularly in older patients. The bleed is usually asymptomatic until noticed by the patient . It gets absorbed by itself within 2 or 3 weeks considering cold compression in the initial stages, artificial tears- if mild ocular irritation is present and by avoiding aspirin and NSAIDs . According to Ayurveda, the disease Arjuna, one among the Suklagata Roga is presented as Neeruk (without pain), Slekshna (slimy) and Sasalohita Lohita Bindu (reddish spot as blood of rabbit). The symptoms of both Arjuna and subconjunctival haemorrhage appears to be similar. Pittahara is the line of management of Arjuna. This case report discusses ayurvedic management of subconjunctival haemorrhage with Kumari Pindi, and Yastimadhu-Lodra Netrapariseka. Kumari, Yastimadhu and Lodra being Chakshushya and with Pittasamana property helped out in complete resolution of subconjunctival haemorrhage with 5 days of Netrakriyakalpa Pindi and Seka giving significant result.
Planned Development in Sikkim: Evolution and Growth
Authors: - Chongtick Lachungpa , - Genevive Syangbo
Published: November 2024

Planned Development is the sine qua non for a holistic development of the state. Sikkim the Himalayan Kingdom was a protectorate of the Indian Union as a result of 1950 Indo-Sikkim treaty and later became its 22nd state. Sikkim climbed the development ladder through the development plans initially with the Seven Year plan in 1954. The present developments and the status of Sikkim is the outcome of this Planned Development and later through the Five Year plans. The paper discusses the thrust areas of these Plans through the decades paving the way for development and how far the state has fared in terms of overall development. It also reflects the gap in terms of development in pre-1975 and post-1975 period. This underlines the importance of having a concrete planned development in Sikkim for overall development. Primary and secondary data has been used for the analysis.
An Analysis of Delivery Care and Maternal health Performance of Empowered Action Groups (EAG) states of India: with special reference to NFHS 4 & 5
Authors: - Raju Kumar Gupta , - Raju Sahni , - Drishti Jaiswal
Published: November 2024

EAGs states (Bihar, Jharkhand, Uttar Pradesh, Uttarakhand, Madhya Pradesh, Chhattisgarh, Rajasthan, and Odisha) were selected for special attention due to their lower socioeconomic and health indicators, particularly maternal and child health. This study contains 16 indicators related to delivery and maternity care. The study aims to describes the Maternal health and Delivery Care Performance of EAG states of India with the help of Composite Z- Score on the basis of NFHS 4 & 5. The maternal and delivery care status of India's Empowered Action Group (EAG) states demonstrates substantial health concerns, nevertheless there has been gradual improvement during the study period 2015-16 & 2019-20 (NFHS 4 & 5).
Capsular Stretches and Shoulder Mobility Exercises to Improve Range of Motion of Secondary Adhesive Capsulitis Following Recurrent Shoulder Dislocation - A Case Report
Authors: - Royline Fathima Pinto , - Priya S
Published: November 2024

The majority of patients will experience some post-traumatic stiffness following traumatic anterior shoulder dislocation, but this typically goes away on its own. Rarely do traumatic anterior shoulder instability result in secondary frozen shoulder. However, a tiny but expected percentage of patients who first have frozen shoulder may later experience secondary frozen shoulder, which causes pain and stiffness and slows rehabilitation. It's possible that this will happen after a period of shoulder immobilization, albeit the exact cause is still unknown. This case report details the results of professional physical therapy interventions used to treat secondary adhesive capsulitis after recurrent anterior shoulder dislocations using a conservative approach. This case study aimed to show how physical therapy can help people with secondary adhesive capsulitis restore, range of motion, strength and improve shoulder function.
Enhancing High-Availability Database Systems: An AI-Driven Approach to Anomaly Detection
Authors: - Uday Kumar Manne
Published: November 2024

High-availability database systems are critical components in modern IT infrastructure, demanding robust mechanisms for ensuring continuous operation and data integrity. This article explores integrating artificial intelligence (AI) techniques into anomaly detection processes for such systems, addressing the limitations of traditional rule-based and statistical methods. We present a comprehensive analysis of machine learning and deep learning approaches, including supervised and unsupervised learning models, autoencoders, recurrent neural networks, and hybrid solutions that combine AI with conventional techniques. The article examines the challenges of implementing AI-powered anomaly detection in high-availability environments, such as scalability, real-time processing, and the balance between sensitivity and specificity. Through case studies in the financial and e-commerce sectors, we demonstrate these advanced detection methods' practical applications and benefits. Our findings indicate that AI-driven approaches significantly enhance the accuracy and efficiency of anomaly detection, leading to improved system reliability and performance. The article concludes by discussing emerging trends, including edge computing and explainable AI, and their potential impact on the future of database management and anomaly detection.
Orchestration Workflows in Distributed Systems: A Systematic Analysis of Efficiency Optimization and Service Coordination
Authors: - Pankaj Singhal
Published: November 2024

This article presents a comprehensive analysis of orchestration workflows in modern software architectures, examining their role in optimizing service efficiency and coordination across distributed systems. Through a systematic investigation of implementation patterns and operational strategies, we
demonstrate how orchestrated workflows enhance service integration, automate complex processes, and improve system reliability. The article employs a mixed-method approach, combining quantitative performance metrics from real-world implementations with qualitative analysis of architectural patterns across diverse enterprise environments. The findings reveal that organizations implementing robust orchestration workflows experienced a 47% reduction in service integration failures, 35% improvement in resource utilization, and 62% faster deployment cycles. The article also identifies critical success factors in orchestration implementation, including dynamic resource management, automated error handling, and comprehensive monitoring frameworks. Furthermore, The article proposes a novel framework for evaluating orchestration effectiveness in cloud-native environments, considering factors such as service mesh integration, container orchestration, and distributed tracing. This article contributes to the growing body of knowledge in service optimization by providing empirical evidence of orchestration benefits and
offering practical guidelines for implementing scalable, resilient software systems through advanced workflow orchestration strategies.
Innovative Cloud Architectures: Revolutionizing Enterprise Operations Through AI Integration
Authors: - Babita Kumari
Published: November 2024

This article examines the transformative impact of artificial intelligence (AI) and machine learning (ML) integration in cloud computing architectures across enterprise operations. Through an analysis of 250+ enterprise deployments, we demonstrate significant improvements including a 42% reduction in
operational costs and 53% enhancement in process efficiency. The article presents a comprehensive framework for implementing AI-enhanced cloud architectures, combining multi-cloud and hybrid approaches across major platforms including Microsoft Azure, AWS, and Google Cloud. Our findings
highlight key advancements in predictive resource management (91% accuracy), automated scaling (67% reduction in overprovisioning), and intelligent security systems (99.7% threat detection accuracy). The article provides detailed implementation guidelines, security protocols, and best practices, supported by a case study of a Fortune 500 manufacturing corporation that achieved $4.2 million in annual maintenance cost savings and 52% improvement in resource allocation efficiency. The article also explores future developments in quantum computing integration and multi-cloud orchestration, establishing a roadmap
for organizations seeking to leverage AI-enhanced cloud architectures for competitive advantage.
The Convergence of SAP PP, RPA, and IBP: A Comprehensive Analysis of Integration Benefits and Challenges in Modern Manufacturing
Authors: - KarthikSai Chenna
Published: November 2024

The integration of SAP Production Planning (PP) with Robotic Process Automation (RPA) and SAP Integrated Business Planning (IBP) represents a significant advancement in manufacturing and supply chain management. This article examines the synergies, challenges, and potential benefits of combining
these technologies in modern production environments. Through a comprehensive analysis of existing literature, case studies, and industry best practices, we propose a framework for seamless integration that enhances operational efficiency, improves forecast accuracy, and enables real-time decision-making. Our findings reveal that successfully implementing this integrated approach can substantially improve production planning, resource allocation, and overall supply chain performance. However, organizations
face notable challenges regarding technical complexity, data synchronization, and change management. This article contributes to the growing body of knowledge on digital transformation in manufacturing by providing actionable insights and recommendations for practitioners. Furthermore, it identifies key areas for future research, including the role of artificial intelligence and machine learning in further optimizing these integrated systems.
Assessing the Feasibility of the Uniform Civil Code in a Diverse and Secular India
Authors: - Vanshika Sanjay Vasnani
Published: November 2024

India is a nation celebrated for its rich religious diversity and commitment to secularism. Personal laws for religions like Hinduism, Islam, and Christianity currently govern civil matters such as marriage, divorce, and inheritance. However, Article 44 of the Indian Constitution advocates for a Uniform Civil Code (UCC) to establish a uniform legal framework, potentially advancing gender equality and promoting national integration. This research paper explores the feasibility of implementing a UCC in India by examining the benefits of a UCC, including its impact on reducing gender disparities, while addressing concerns over cultural autonomy and religious freedom. The latter half of the paper also provides policy recommendations for implementing the UCC in India.
Classification of Mild, Very Mild, Moderate, and Non-Demented Alzheimer’s Disease MRI Scans with SVM
Authors: - Anvita Vengala
Published: November 2024

Over 55 million people worldwide are affected by Alzheimer's disease (AD), which causes a substantial financial impact on society. The estimated expenses of health care and long-term care for individuals with forms of dementia are expected to approach around $360 billion in 2024. Recent developments in neuroimaging have yielded important insights into AD. Machine learning (ML) methods have become widely available as effective instruments for interpreting complex neuroimaging data. Previous studies on classifying magnetic resonance imaging (MRI) images found significant success in identifying neurological disorders. In this study, supervised learning is employed to investigate if ML models can distinguish between mild dementia, moderate dementia, very mild Dementia, and non-demented MRI images. The dataset was sourced from the Open Access Series of Imaging Studies (OASIS), a publicly available dataset that provides cross-sectional and longitudinal MRI data of the brain. We trained a linear support vector machine (SVM) classifier with stochastic gradient descent (SGD) on 75% of the dataset. To evaluate performance, we calculated the accuracy level from the testing data. This model produced an accuracy of 74.21%, demonstrating that SVM classification is a promising avenue to classify MRI images.
Exploring Job Attitudes among Junior High School Teachers in Technology and Livelihood Education: A Foundation for Teacher Development and Enhancement
Authors: - Rizza S. Gumbao , - Roselyn S. Cabsaban
Published: November 2024

This research aimed to gather information about the “Job Attitudes of Junior High School Teachers Teaching Technology and Livelihood Education”. The objectives of the study were to determine the job attitudes of Junior High School TLE Teacher; and to find out the significant differences in the job attitudes of Junior High School TLE Teachers when grouped according to age and school assignment. This research utilizes a descriptive survey method. There were thirty purposively selected Junior High School TLE Teachers in the municipality of Barotac Nuevo. The result revealed that the job attitudes of TLE Teacher was high. As to age 25-30, 31-40, and 41-50 years old, job attitudes towards organizational commitment revealed in all the variables same with the school assignment, in Jose Monfort Science High School, Salihid National and Barotac Nuevo National Comprehensive High School TLE teachers’ job attitudes towards organizational commitment were very high. There are no significant differences in the job attitudes of Junior High School TLE Teachers when grouped according to age and school assignment with p-value higher than the set of .05 alpha level of significant, which means the null hypothesis were accepted. The following are the suggested researchers retooling activities to be used to improve TLE teachers’ attitude towards their job: 1. providing feedback and support on remote learning, 2. facilitating communication and collaboration, and 3. identifying upskills within existing teacher competencies.
The Convergence of Artificial Intelligence and Human Marketing: A Framework for Enhanced Customer Insights and Personalization
Authors: - Sowmya Kotha
Published: November 2024

This article examines the transformative integration of artificial intelligence and human expertise in modern marketing analytics, focusing on customer insight generation and personalization strategies. We present a comprehensive framework for human-AI collaboration in marketing operations through a
mixed-methods approach combining quantitative analysis of customer data from 127 retail organizations and qualitative interviews with 34 marketing professionals. The findings reveal that organizations implementing AI-enhanced customer analytics in conjunction with human-driven creative strategy achieved a 47% improvement in customer engagement metrics and a 31% increase in conversion rates compared to traditional approaches. The article demonstrates that while AI excels at real-time pattern recognition and predictive modeling of customer behavior, human marketers provide crucial emotional intelligence and contextual interpretation that significantly enhance the effectiveness of personalization efforts. The article introduces the Dual Intelligence Marketing Framework (DIMF), which outlines optimal integration points between AI capabilities and human expertise throughout the customer journey. The framework addresses critical challenges in implementation, including technical infrastructure requirements, talent adaptation, and ethical considerations. This article contributes to both theoretical understanding and practical application of AI in marketing, offering actionable insights for organizations seeking to leverage the complementary strengths of artificial and human intelligence in their marketing operations.
Holistic Treatment of Acne Vulgaris: Integrating the Complete Repertory for Quality-of-life Enhancement
Authors: - Pooja Bankimbhai Bhatt , - Sat Paul Madaan
Published: November 2024

Acne vulgaris, a common dermatological condition, significantly impacts the quality of life, particularly in adolescents and young adults. This study investigates the effectiveness of individualized homeopathic treatments selected using the Complete Repertory in alleviating acne symptoms and enhancing patients' quality of life. Over a period of 4-6 months, 101 patients, aged 15 to 25, were treated using the Global Acne Grading System (GAGS) and the Cardiff Acne Disability Index (CADI) to evaluate progress. Significant improvements in both physical symptoms and psychological well-being were observed, suggesting that personalized homeopathic regimens could be a viable holistic approach (Schroyens, 2018).
An Analysis of Case Study Utilizing Distributed Power Flow Controllers Which Improves and Mitigates Power Quality
Authors: - NAGA SOWJANYA PALETY , - ANURAG S D RAI
Published: November 2024

Abstract—Providing high-quality electrical power should be taken into consideration in light of the rising demand for electricity and the rise in non-linear loads in power systems. This research examines power quality concerns related to voltage sag and swell and uses a distributed power flow controller (DPFC) to reduce voltage deviation and enhance power quality. A novel FACTS device, the DPFC shares structural similarities with the unified power flow controller (UPFC). Despite UPFC, DPFC separates the three-phase series converter into many single-phase series dispersed converters via the line and removes the common dc-link between the shunt and series converters. A DPFC located in a single-machine infinite bus power system with two parallel transmission lines is included in the case study. The MATLAB/Simulink environment was to model the system. The simulation findings that are shown confirm that DPFC may raise power quality.
Exploring Cultural Competence in Art Education : A Literature Review on Enhancing Cultural Identity among Students in Taishan College in Shandong Province, China
Authors: - BAI XIAOMING , - ANATALIA ENDOZO
Published: November 2024

This literature review explores the relationship between cultural competence in art education and the enhancement of cultural identity among students at Taishan College in Shandong Province, China. In an increasingly globalized world, understanding and integrating diverse cultural perspectives in educational curricula have become paramount. This study synthesizes existing research on cultural competence, art education methodologies, and their implications for fostering cultural identity. The review reveals that art education serves as a powerful medium for encouraging students to engage with their cultural heritage while also appreciating global artistic expressions. Key themes identified include the role of culturally responsive pedagogy, the impact of local traditions on artistic practices, and the significance of student engagement in culturally relevant projects. By highlighting best practices and potential strategies for implementing culturally competent curricula, this review aims to provide insights for educators and policymakers seeking to enhance cultural identity through art education in a Chinese context. The findings suggest that by embracing cultural competence, art education can not only enrich students' educational experiences but also promote a deeper sense of self and community identity among the youth in Shandong Province.
Experimental Study On Self-Compacting Concrete Mix Design By Using Yucca Zeolite
Authors: - Shivani Mukesh Barwal , - Jagdish Babanrao Sonawane
Published: November 2024

This report aims to present the experimental investigation on mix proportioning of normal concrete and self-compacting concrete with yucca zeolite. The study area comprises of ordinary portland cement of grade 53,mix proportioning of normal concrete for grade of concrete M40, M30 and M20 whereas mix proportioning for self-compacting concrete for grade of concrete M40, M30 ,M20.The parameters considered are cement content, Water cement ratio i.e. for normal concrete 0.4, 0.42, 0.45 and for self-compacting concrete 0.62, 0.44, 0.43 respectively. To reduce the risk of shrinkage, frost attack and corrosion of concrete, yucca zeolite as a mineral admixture and to increase the bond strength techno plast S 300 as a super plasticizer is added. The responses of material testing, normal concrete tests that includes slump flow test and compressive strength test recorded. Also, tests on self-compacting concrete recorded from slump flow test, J ring test, V funnel test, L box test, U box test, Rheological parameters, Compressive strength at 7 and 28 days. The various properties of SCC are ascertained with the IS code 1199:2018 [part 6] IS code 456:2000, IS code 10262:2019.
Importance of Chhath Puja in the culture and economy of Bihar
Authors: - Ritu Kumari
Published: November 2024

Chhath Puja, the great festival of folk faith, is a major and traditional festival of Bihar, which is celebrated with devotion, reverence, and dedication. This puja is dedicated to Sun God and Chhathi Maiya. Business worth more than thousands of crores takes place during Chhath festival in the whole of Bihar. However, no special study has been done on this yet. Economist NK Choudhary says that this amount is quite large, because every small and big business from rural areas to cities is involved in it. Every family of Bihar contributes to Chhath in some form or the other. Chhath Mahaparva is directly related to the economy of Bihar. Soup and daura have special significance in Chhath Puja. In such a situation, it is manufactured on a large scale in different areas of Bihar. It is also manufactured in the areas of Madhubani, Bhagalpur and Seemanchal. It is also ordered from other states many times. Most of the fruits for Chhath are ordered from other states. Apples are ordered from Kashmir and Himachal, oranges from Nagpur, coconuts from Kerala and Andhra Pradesh, bananas from Karnataka and Chennai. Apart from this, sugarcane is brought from Uttar Pradesh. Soop-Daura is made on a large scale in Bihar. Chhath festival is celebrated with great enthusiasm. This festival lasts for four days i.e. 96 hours, and people from the eastern communities living in different states along with whole India, especially Bihar and Jharkhand, participate in this festival. About 15 crore people including women, men and children participate in Chhath Puja rituals. According to an estimate, the country's economy can benefit by Rs 12 thousand crore in these 96 hours. as a culture and faith of Bihar. How Chhath Puja is connected to the common people as a cultural heritage to the economy of Bihar has been studied in this research article.
The Role of Robotics in Enhancing Precision and Outcomes in Orthopedic Surgery
Authors: - Sujeet Kumar Chaudhary , - Vishal Singh , - Manjul Gupta , - Mahesh Kumar
Published: November 2024

The advent of robotics has significantly transformed orthopedic surgery, addressing challenges inherent in traditional manual techniques, such as variability in outcomes and precision limitations. Robotics enables millimeter-level accuracy, minimizes human error, and allows for personalized, minimally invasive procedures. Historical milestones, from the pioneering ROBODOC system in 1992 to advanced platforms like MAKO and ROSA, illustrate the progressive adoption of robotic systems, particularly in joint replacement and spine surgeries. Comparative studies demonstrate enhanced precision and reduced recovery times for robotic-assisted surgeries compared to conventional methods, with quantifiable improvements in alignment accuracy and postoperative outcomes. Key applications include joint arthroplasties, spinal surgeries, and complex trauma cases, where robotic assistance ensures accurate implant positioning, improved functional outcomes, and higher patient satisfaction rates. However, barriers such as cost, access disparities, and the learning curve persist. Emerging technologies, including artificial intelligence, augmented reality, and haptic feedback, are anticipated to further enhance robotic precision and broaden accessibility. As robotic systems become integral to orthopedic practice, ongoing advancements promise to elevate surgical standards, offering reliable, patient-specific solutions that improve both procedural consistency and quality of life.