International Journal of Open Publication and Exploration, ISSN: 3006-2853
Welcome to the International Journal of Open Publication and Exploration Promoting Knowledge Sharing and Innovation through Open Access About Us The International Journal of Open Publication and Exploration (IJOPE), ISSN: 3006-2853, is a peer-reviewed, open-access journal dedicated to advancing knowledge sharing, exploration, and innovation across various fields. We are committed to fostering a global community of scholars, researchers, and practitioners who believe in the power of open access to drive discovery and progress. Mission Our mission is to provide a platform for researchers, academics, and professionals to share their findings and insights openly, facilitating interdisciplinary collaboration and accelerating the pace of discovery. By embracing the principles of open access, IJOPE aims to break down barriers to information and make valuable research accessible to a worldwide audience. Scope IJOPE welcomes original research articles, reviews, and critical analyses from a wide range of disciplines, including but not limited to: Science and Technology Social Sciences Arts and Humanities Health and Medicine Engineering and Architecture Environmental Studies Business and Economics Why Publish with IJOPE? Open Access: All articles published in IJOPE are freely accessible to anyone, promoting widespread dissemination of knowledge. Rigorous Peer Review: Our double-blind peer review process ensures the quality and credibility of published works. Interdisciplinary Collaboration: IJOPE provides a platform for researchers to connect and collaborate across diverse fields of study. Global Reach: With a worldwide readership, your research will have a significant impact and reach a broad audience. Call for Submissions We invite researchers, scholars, and practitioners to contribute to the open exploration of knowledge. Submit your manuscript today and be part of our mission to drive innovation and progress. IJOPE : International Journal of Open Publication and Exploration ISSN: 3006-2853 Chief Editor: Dr. Gaung Jhu, Hong Kong Publisher: Research Radicals, Hong Kong Starting Year: 2013 Frequency: Semi-Annual [2 issues per year] Languages: Multiple Languages Accessibility: Open Access Crossref DOI Prefix: 10.XXXXXX Copyright: IJOPE Journal, Hong Kong Peer Review Process: Double Blind Peer Review Process Subject: Multidisciplinary Plagiarism Checker: Turnitin Publication Format: Online Contact No.: +852-23591000 Email: ijopeeditor@gmail.com Website: https://ijope.com Address : IJOPE journal, 28/P, 1063 King's Road, Quarry Bay, Hong Kong S.A.R. Key Features of IJOPE Journal listed in Google Scholar Indexed with Crossref DOI Journal Publishes online on continuous basis Online article submission Standard peer review process
साहित्य में महिला सशक्तिकरण: दशा और दिशा
महिला सशक्तिकरण समकालीन समाज की एक केंद्रीय अवधारणा है, जिसका उद्देश्य महिलाओं को सामाजिक, आर्थिक, राजनीतिक और सांस्कृतिक स्तर पर समान अधिकार, अवसर और स्वतंत्रता प्रदान करना है। भारतीय संदर्भ में, यह अवधारणा विशेष महत्व रखती है क्योंकि यहाँ सदियों से पितृसत्तात्मक व्यवस्था ने महिलाओं की भूमिका को सीमित किया है। हिंदी साहित्य ने इस असमानता को उजागर करने, स्त्री की पीड़ा को स्वर देने तथा उसके सशक्त रूप को स्थापित करने में महत्वपूर्ण भूमिका निभाई है।
महिला सशक्तिकरण, हिंदी साहित्य, नारी विमर्श, स्त्री चेतना, सामाजिक परिवर्तन
Copyright (c) 2018 International Journal of Open Publication and Exploration, ISSN: 3006-2853 https://creativecommons.org/licenses/by-nc-nd/4.0
Recent Advances in Algebraic Topology and Its Modern Applications
Algebraic topology is a fundamental branch of mathematics that studies topological spaces using algebraic tools such as groups, rings, and modules. Over the past few decades, significant progress has been made in the development of new theoretical frameworks and computational techniques within algebraic topology.
Copyright (c) 2023 International Journal of Open Publication and Exploration, ISSN: 3006-2853 https://creativecommons.org/licenses/by-nc-nd/4.0
A Study on Sustainable Catalysis and Eco-Friendly Chemical Processes
Sustainable catalysis and eco-friendly chemical processes represent a transformative paradigm in modern chemistry aimed at minimizing environmental impact while maximizing efficiency, safety, and economic viability. This field integrates the core principles of Green Chemistry and sustainable development to design catalytic systems that reduce energy consumption, waste generation, and toxic by-products. Catalysis plays a central role in industrial manufacturing, as over 85% of chemical processes rely on catalytic transformations. The development of heterogeneous, homogeneous, and biocatalysts has significantly enhanced reaction selectivity, atom economy, and resource utilization.
Sustainable Catalysis, Green Chemistry, Renewable Feedstocks, Carbon Dioxide Utilization, Heterogeneous Catalysis.
Copyright (c) 2019 International Journal of Open Publication and Exploration, ISSN: 3006-2853 https://creativecommons.org/licenses/by-nc-nd/4.0
Restorative Management of a Pediatric Patient with Vitamin D–Resistant Rickets and Arrested Caries: A Case Report
Children with vitamin D–resistant rickets (VDRR) frequently present with defective mineralization of dentin and enamel, predisposing them to extensive tooth structure loss and arrested carious lesions. The dental management of such cases poses restorative and behavioral challenges because of the increased brittleness of teeth and high caries susceptibility.
Dr. Asha Rani, Dr. Ritu Namdev, Dr. Arun Kumar, Dr. Ruchi Singhal
Copyright (c) 2025 International Journal of Open Publication and Exploration, ISSN: 3006-2853 https://creativecommons.org/licenses/by-nc-nd/4.0
AI-Enabled Predictive Maintenance for Optimizing Plant Operations: Data-Driven Approaches for Fault Detection, Diagnostics, and Lifecycle Management
The increasing complexity of modern industrial systems has elevated the demand for advanced maintenance strategies that minimize downtime, reduce costs, and enhance operational efficiency.
Predictive Maintenance, Artificial Intelligence, Fault Detection, Diagnostics, Lifecycle Management.
Copyright (c) 2020 International Journal of Open Publication and Exploration, ISSN: 3006-2853 https://creativecommons.org/licenses/by-nc-nd/4.0
Advanced Flood Management System Based on G-CANS Project
Floods are a type of natural disaster that can cause heavy destruction to life and property. It is a condition when rainwater accumulates at a place, flooding populated areas. They can also lead to the loss of numerous lives. At times, it can be highly dangerous and can wipe off an entire village or city. It is impossible to stop a natural disaster, but the effects of the disaster can be reduced.
Flood Management, G-CANS Project, Mumbai Floods, Stormwater Drainage, Underground Discharge Channel.
Piyush Deepak Shahane, Mr. Milind N. Telavane
UX Optimization Techniques in Insurance Mobile Applications
The insurance industry is undergoing a significant digital transformation, with mobile applications becoming a primary channel for customer engagement. User Experience (UX) optimization in these applications is critical to meet evolving customer expectations, enhance satisfaction, and maintain competitiveness. This paper explores various UX optimization techniques specific to insurance mobile applications, drawing insights from recent studies, industry practices, and technological advancements. Key areas of focus include onboarding processes, personalization, claims management, policy administration, accessibility, and performance optimization. The paper also examines real-world case studies to illustrate the practical application of these techniques.
UX optimization, insurance mobile apps, performance optimization, personalization, trust and security
Case Study: Migrating Financial Data to AWS Red Shift and Athena
Today, financial institutions choose to move their financial data to the cloud so they can grow, gain access to analytics instantaneously and control costs. I analyze the adoption of Amazon Web Services (AWS) Redshift and Athena by a middle-sized financial firm, sharing how it was accomplished, issues encountered and the results seen in 2020. The report looks at how machine learning-driven analysis and cloud-based systems helped improve how data is queried and stored. By analyzing ethical, legal and security concerns, important ideas about the wider effects of migrating financial data to the cloud were identified.
The services Amazon Redshift, Amazon Athena, moving financial information, cloud analytics, data warehousing, ETL and new 2020 technologies
DevSecOps in Regulated Industries: Bridging Security and Speed in CI/CD Pipelines
The study is focused on how DevSecOps can be effectively applied in CI/CD pipelines in regulated sectors to achieve a balance between security, speed, and compliance. The literature identifies the challenges of automation, compliance alignment, security metrics, and DevSecOps integration in regulated environments. It employs an explanatory study design and qualitative and quantitative secondary data to reveal vulnerabilities and integration challenges. The results indicate that there is an increasing requirement in the automated security testing, standardised CI/CD definitions, and cross-functional collaboration. DevSecOps becomes one of the possible solutions to integrate security into rapid development to maintain compliance and software quality. The study provides actionable recommendations towards safe and effective digitalisation within regulated industries.
Distributed Tracing in Multi‑Cloud Systems
Modern cloud systems rely heavily on tracing tools to monitor application behavior, identify performance issues, and maintain reliability across distributed environments. In this study, we assess the impact of four popular tracing tools Jaeger, Zipkin, OpenTelemetry, and a combined multi-cloud configuration on system performance. The evaluation focuses on three key metrics: CPU usage, memory consumption, and the size of generated trace data. Our results show that Zipkin generally introduces the least overhead, making it a suitable choice for environments where resource efficiency is critical. OpenTelemetry provides a balanced trade-off between observability and system impact. The combined multi-cloud setup, while offering comprehensive trace visibility, results in the highest resource usage. These findings highlight the need for careful selection of tracing tools based on specific deployment requirements, especially in large-scale or latency-sensitive systems. This study offers practical insights for engineers and architects looking to implement effective and efficient observability solutions in real-world cloud infrastructures.
Mr. Satbir Singh, Dr. Joshi Vilas Ramrao
Copyright (c) 2021 International Journal of Open Publication and Exploration, ISSN: 3006-2853 https://creativecommons.org/licenses/by-nc-nd/4.0
To Study the Effect of Fluoroalkylation of Alkenes
Difluoroalkylated chemicals are useful in materials science, pharmacology, and agrochemistry. Nevertheless, there are very few effective ways to create the alkylCF2-alkyl bond, and it is still difficult to introduce a difluoromethylene (CF2) group into an aliphatic chain at the appropriate location. Here, we describe a novel instance of alkylzirconocene-promoted difluoroalkylation of alkyl- and silyl-alkenes using a range of unactivated difluoroalkyl iodides and bromides when exposed to visible light without the need of a catalyst. In organic synthesis, the resultant difluoroalkylated molecules can be used as flexible synthons. The reaction offers a general way to controllably access fluorinated compounds and can also be used with activated difluoroalkyl, trifluoromethyl, perfluoroalkyl, monofluoroalkyl, and nonfluorinated alkyl halides. According to preliminary mechanistic studies, the process involves a single electron transfer (SET) route initiated by a Zr(III) species, which is produced when alkylzirconocene is photolyzed with blue light.
Shashank Shekhar Kapoor, Dr. Sukeerti Singh
झारखण्ड के राँची जिले के दिव्यांगों की सामाजिक-आर्थिक पृष्ठभूमि का विश्लेषण करना
समग्र रूप से, विकलांगता मानवता पर एक धब्बा है और एक अभिशाप है। विशेष रूप से, विकलांग व्यक्ति अपने अस्तित्व के लिए बड़ी चुनौती का सामना करते हैं। विकलांग व्यक्ति को शिक्षा, रोजगार और अन्य सामाजिक-आर्थिक अवसरों से दूर किया जाता है और कई प्रकार के भेदभाव का सामना करना पड़ता है। विकलांग व्यक्ति समाज में हर तरह से घातक होता है। क्योंकि वे घरेलू, पत्नी या मां की भूमिकाओं को निभाने में असमर्थ हैं, लोग विकलांग व्यक्ति को अपने परिवार और समाज पर बोझ समझते हैं। शिक्षा, जागरूकता और परिवार के समर्थन की कमी के कारण अधिकांश विकलांग व्यक्ति बेरोजगार हैं।
Copyright (c) 2024 International Journal of Open Publication and Exploration, ISSN: 3006-2853 https://creativecommons.org/licenses/by-nc-nd/4.0
Participation of Refugees Rehabilitation in India: Post Independent India (1947)
Partition was a highly controversial system and is still a source of much tension in the subcontinent. Since independence in 1947, India received about 8 million political refugees from four neighboring countries, West Pakistan (now Pakistan), East Pakistan (now Bangladesh), Tibet and Sri Lanka, between 1970-71, namely Punjabis (4.7 million), Bengalis (2.5 million), Tibetans (80 thousand) and Ceylonese Tamils (0.5 million) respectively. It was one of the largest and fastest migrations in human history, with an estimated 14.5 million people leaving the country in 4 years (Bhardwaj, Khawaja and Mian, 2008). It is estimated that 16.7 million people were forced to leave the country in the four years following Partition. The arrival of 14.5 million people during the same period, suggests that 2.2 million people were "missing" or missing at the time of partition.
India, Pakisthan, Bangladesh, West Bengal, Bhardwaj, Khawaja, Mian, Himalaya, Migration.
Testing Protocols for Battery Performance and Reliability Applications of Python in Battery Management Systems
Lithium-ion batteries(LIBs) which are popular across electrical devices and gadgets such as products with EV charging and renewable energy systems such as EV charging systems. Despite that, the characteristics of batteries such as performance, reliability and cost are still problematic. Therefore, this report aims at examining how Python, together with Open Source tools, can be used in the testing and management of battery systems. It covers charge-discharge cycling, determination of capacity, and impedance techniques. Further, it discusses Python incorporation in the improvement of Battery Management Systems (BMS) for accurate monitoring of vital settings like voltage, current and temperature of batteries. In the low-cost battery testers, PVWPS, and BMS, modular designs, the report reveals how the use of Python can minimize costs and enhance the systems’ dependability. Based on the results, solutions implemented with Python have versatility, low cost and expansiveness that is fundamental to guarantee sustainable power for electric automobiles and renewable energy storage systems. Some recommendations for future work are provided at the end of the report, such as machine learning integration and the creation of battery less embedded systems.
Copyright (c) 2022 International Journal of Open Publication and Exploration, ISSN: 3006-2853 https://creativecommons.org/licenses/by-nc-nd/4.0
Integration of Blockchain Technologies with AI for Enhanced Payment Security
In order to enhance payment security, it is important to monitor and analyse each transaction made by the sender and the details of the payment receiver. It is too critical for a person to monitor each transaction continuously. For that reason, the organisation needs to adopt advanced technologies such as blockchain technology, artificial intelligence, and automation technologies to monitor and detect fraudulent transactions. These days people and multiple organisations are suffering through this financial fraud. This research aims to evaluate the role of blockchain and AI in enhancing payment security and to evaluate the effectiveness of integrating blockchain technology with AI. In order to develop the research a mixed method was chosen and data were collected from secondary sources. This study finds out the importance of blockchain technology and artificial intelligence to make transparent and secure transactions in the financial sector. It is important to adopt the technology after developing knowledge of the advantages and challenges of the advanced technology. This research will play an essential role in monitoring and preventing fraudulent activities during transactions and enhancing payment security.
AI-Powered Fraud Detection Quantum Model in Embedded Payments Products
This paper explored how to integrate an AI-based fraud detection quantum model in embedded payment products which will aid in securing the system and limiting the exposure of the owners to financial risks. The analysis of transaction patterns and their anomalies in real time was done via the application of a hybrid approach by combining machine learning algorithms with quantum computing techniques. The literature review illustrates the exceptional abilities that AI technology has gained in the fight against fraud and recognises the role of deep learning and the integration of blockchain technology in it.
A Study on Mechanical and Sliding Wear Behaviour of E-Glass Fibre Reinforced Epoxy Composites
Due to increasing demand and widespread application of Fibre reinforced polymer (FRPs) composites, they have been used in a variety of application like aerospace, automotive, sports, ships and constructional work. Because of their several advantages such as relatively low cost of production light weight, easy to fabricate and superior strength to weight ratio. In the present work E-glass fibre is used as reinforcing agent with and without alumina filler. The objective of the present research work is to study the mechanical and abrasive wear behaviour of coated and uncoated E-glass fibre reinforced epoxy based composites. The effect of fibre loading and filler content on mechanical properties like hardness, tensile strength, flexural strength and impact strength of composites are studied. A robust design technique called Taguchi method is also used to determine the optimal condition for specific wear rate of the composites by considering different parameters. ANOVA study is also performed to study the effect of various factors on the sliding wear behaviour of the composites. Surface morphology of composites was studied by optical microscope.
Advances in Air Gesture and Handwriting Recognition for Human-Computer Interaction: A Quantitative Approach
In recent years, air gesture and in-air handwriting recognition have emerged as transformative modalities in human-computer interaction (HCI), enabling touchless and intuitive communication between users and machines. This paper presents a comprehensive quantitative evaluation of various recognition techniques applied to air gestures and airborne handwriting. We benchmark multiple classical and deep learning models—including HMM, DTW, CNN-LSTM, and Transformer architectures—on publicly available datasets such as SHREC, DHG-14/28, and AirGest. Performance metrics including accuracy, latency, F1-score, and computational efficiency are analyzed in real-world HCI contexts. Additionally, we assess the impact of sensor types (e.g., depth cameras, IMUs), data preprocessing filters, and trajectory reconstruction techniques on system performance. Case studies in automotive control, healthcare, and AR/VR platforms demonstrate practical applications and real-time viability. Experimental results show that Transformer-based models achieve up to 96.1% accuracy with latency under 40 ms, suggesting strong potential for real-time deployment. The paper also highlights challenges such as user variability, occlusion robustness, and dataset imbalance, and provides future directions for optimizing adaptive, low-power HCI systems.
Prof. Snehal Javheri, Yash Rajiv Ghute, Nandan Anerao, Akshay Sudhakar Shinde
Cementitious Material from Recycled CLC and AAC Block Dust
In the present scenario where the constructions are increasing, the need to find a supplementary Cementing material for the improvement of strength and which has less environmental effects is of great significance. The main objective of the research work is to investigate the possibility of utilizing cellular lightweight concrete and autoclave aerated concrete block dust as partial replacement of cement. The basic properties like consistency; specific gravity was determined and compare with ordinary Portland cement. SEM, EDX and XRD analysis is also performed for chemical composition and crystallography of utilizing cellular lightweight concrete and autoclave aerated concrete block dust. The result of the study shows that up to 20% replacement of cellular lightweight concrete block dust gives more strength that normal mortar cube. However, large levels of replacement lead to delayed hydration of the mix and porous microstructure and consequently lower compressive strength of cube. From the XRD analysis of cube sample shows that 20% replacement of cellular light weight concrete block dust has more calcite component than 0% replacement of mortar cube.
Global Regulatory Intelligence: Leveraging Data for Faster ECTD Approvals
The present research investigates the utilisation of global regulatory intelligence to improve the review and approval process of electronic Common Technical Document (eCTD) submissions. With the integration of AI, automated systems, and real-time data monitoring, pharmaceutical organisations can improve the regulatory submission process, ensuring fewer submission errors occur and submission and review times shorten. Through a series of case studies showcased by utilising Astra-Zeneca and GSK, substantial improvements to approval processes were demonstrated. In the face of significant advances in regulatory intelligence and eCTD submissions, specific limitations such as the ability to accommodate changes in global regulations and regional complexity. Future research will look to standardise submission globally, while also seeking industry leaders who may develop cost-free AI options to improve regulatory compliance and operational efficiencies.
Investment Scheme Choices among Indian Bank Employees: A Comparative Study of Government and Private Sectors
This study provides a comprehensive overview of the investment schemes available to employees of government and private sector banks in India. It examines and compares key financial instruments such as Staff Loans, Provident Fund (PF), Employee Provident Fund (EPF), Employee Stock Ownership Plans (ESOP), and Employee Stock Purchase Plans (ESPP), as well as other welfare-oriented initiatives. Government banks typically offer subsidized schemes with attractive interest rates, while private banks emphasize competitive benefits, performance-linked incentives, and flexible investment options. Both sectors prioritize employee welfare through provisions like health insurance, retirement benefits, tax-saving plans, and educational assistance. The paper highlights the significance of understanding these financial options to support informed decision-making and long-term financial planning among bank employees. Ultimately, the research underscores the dynamic and diverse nature of investment opportunities within the Indian banking sector, aiming to empower employees to secure a stable and prosperous financial future.
The Theme of Hunger and Degradation in Kamala Markandaya’s Nectar in a Sieve
Nectar in a Sieve reflects the stark poverty in Indian villages and its dehumanising effects on the people.Nectar in a Sievedeals with the theme of hunger.The story portrays the lives of the peasant couple Nathan and Rukmani who have to suffer a lot due to the vagaries of Nature and failure of crops.The paper presents the inevitable changes in the social and economic aspects in the wake of industrialization.Nature victimizes the peasants, through flood one year, or drought the next, the net result is poor yield, famine, starvation and sometimes death. The paper clearly exposes that fear; hunger and despair are the unchanging companions of the peasants.Kamala Markandaya bring out the fact that it is hunger which leads ultimately to degradation.
To Analyses of Bioelectrodes Based on NS-Pani for the Estimation of Target Analytes
By applying a DC electric field, charged powder particles that are suspended or distributed in a liquid media are drawn to and deposited onto a conductive substrate that has the opposite charge. This process is known as electrophoretic deposition, or EPD. The use of EPD derived from a colloidal suspension of a preferred conducting polymer (CP) offers a novel approach for customising nano-structured films with unique shape and packing density. It is well known that this novel and intriguing deposition method produces homogeneous, porous, pinhole-free CP films. Because of their small size, nano-structured conducting polymers, also known as nanotubes, nanorods, or nanospheres, have intriguing optical, electrical, and mechanical properties that present excellent opportunities for fusing biological recognition events with electronic signal transduction in the design of next-generation bioelectronic devices. Because of its special qualities, including (i) increased surface area for effective protein/enzyme immobilization, (ii) unique electron transfer capabilities, (iii) shorter penetration depth for target molecules, (iv) broad range of tuneable properties, (v) biocompatibility, (vi) long-term environmental stability, etc., nano-structured polyaniline (NS-PANI) is predicted to be an effective platform for designing diverse biosensing systems.
A Study on the Relationship between Anxiety and Academic Outcomes in Graduates
Academic anxiety is a critical psychological factor that substantially influences student performance. This study investigates the Relationship between academic anxiety and academic achievement among college Graduates, with a particular focus on gender-based differences in performance outcomes. Employing a quantitative survey methodology, data were collected from 200 Graduates enrolled in government degree colleges in the Fatehgarh Sahib district of Punjab (India). Statistical analysis was conducted using SPSS, applying percentage analysis, regression techniques, and independent t-tests to interpret the findings. Results reveal a significant negative Relationship between academic anxiety and academic achievement. Regression analysis indicates that academic anxiety accounts for approximately 41% of the variance in academic performance (R = 0.17, F = 41.39, p < 0.001), underscoring its substantial impact. Furthermore, ANOVA results and coefficient interpretations support the conclusion that academic anxiety is a meaningful predictor of academic outcomes. Gender-wise analysis shows a statistically significant difference in academic achievement (p = 0.01), suggesting that anxiety may affect male and female Graduates differently. The findings emphasize the need for early identification and management of academic anxiety to safeguard student performance. Persistent academic anxiety can lead to cognitive disruptions, decreased motivation, and long-term academic underachievement. Addressing this issue through targeted interventions is essential for fostering a healthier and more effective learning environment.
Optimizing Software Development Processes in Cloud-Based Environments
The rapid adoption of cloud computing has transformed software development processes, offering scalability, flexibility, and cost-efficiency. This paper explores the optimization of software development in cloud-based environments, focusing on enhancing efficiency, reducing costs, and improving time-to-market. We discuss the key challenges and benefits associated with cloud computing in software engineering, as well as the strategies for optimizing development processes, including Agile methodologies, Continuous Integration/Continuous Deployment (CI/CD), resource scaling, and cost optimization techniques. Through a review of industry case studies and pre-2022 data, this research highlights the effectiveness of these optimization strategies. By presenting detailed calculations on resource utilization, cost reduction, and performance improvements, this paper provides actionable insights for organizations seeking to improve their software development lifecycle in cloud environments. The findings emphasize the importance of leveraging cloud-specific tools and practices to achieve better development outcomes, while also discussing potential areas for future research to further advance cloud-based software engineering practices.
Society of South-East Punjab in Early 20th Century
After the outbreak of 1857, south-east Punjab was separated from the then North-West Province and merged with Punjab. The seven districts formerly part of Delhi Territory were regrouped into two divisions of Delhi and Hissar popularly known as Eastern and Western division respectively. On the other hand the administration of this region along with the entire country was transferred from the East India Company to the Crown. A Viceroy, as a representative of the British Crown and Parliament, started ruling India. On the abolition of Hissar division in 1884 the district of Rohtak was transferred to Delhi Division.
Copyright (c) 2017 International Journal of Open Publication and Exploration, ISSN: 3006-2853 https://creativecommons.org/licenses/by-nc-nd/4.0
Designing Resilient Microservice Architectures for High-Through Put PEO Systems in the Cloud
Professional Employer Organization (PEO) systems demand robust, scalable, and high-throughput architectures to manage complex HR, payroll, benefits, and compliance services for multiple clients in real time. Traditional monolithic architectures often struggle with performance bottlenecks and failover limitations, particularly under dynamic cloud workloads. This paper presents a resilient microservice-based architecture tailored for PEO systems in cloud environments. The proposed architecture emphasizes modular design, domain-driven decomposition, and cloud-native deployment using Kubernetes and service mesh frameworks. To ensure resilience, mechanisms such as circuit breakers, retries, and distributed tracing are integrated, while throughput is enhanced through asynchronous communication and load-balancing strategies. A detailed experimental setup is designed to benchmark performance against monolithic and hybrid models, demonstrating significant improvements in scalability, fault-tolerance, and system responsiveness. This work serves as a practical guide for architects and engineers designing next-generation enterprise systems in the PEO domain.
Benimadhab Barua’s Role in Revitalizing Buddhist Studies
According to a Buddhist tradition, the ‘Dharmacakrapravariana’ - the turning of the wheel of law - is said to have taken place three times. Historically, the reference is first to the one which took place at Sarnath, the second to the resurgence of Mahayana and the third to the rise of the Yogacara school of Vijnanavada. To these a fourth awakening can be added which may be reckoned as co­-existent with the period of intensive research on Buddhism in the East and West in the nineteenth century. The awakening was sudden and inspired and it brought about a renaissance in Buddhist studies. This new wave spread through the three continents of Europe, Asia and America, touching almost all branches of the Arts and Humanities, thereby leading to a revival of cultural life in Asian countries and making the world ‘Buddhasamjni’ or Buddha conscious.
Impact of Auxins on Rooting of Vitex Negundo L. Shoot Cuttings
Studies were made on the impact of auxins for rooting in shoot cuttings. The untreated shoot cuttings show easy-to-root nature. Indole butyric acid treatment was most effective for rooting and per cent survival of rooted cutting 100 ppm IBA exhibited fairly high rooting potential. All the concentrations of other auxins failed to induce the rooting. Possibilities of use of IBA for vegetative negundo have been discussed in the present paper.