Volume 13 | Issue 4

 Abstract

This paper investigates the effects of Long Short-Term Memory networks in predictive maintenance of manufacturing systems. The proposed framework improves on prediction from failure and anomalous detection because LSTMs have the ability to deal with time series data. These IoT qualified sensors equipped with real time machine health monitoring and the supportof AI driven analytics along with historical patterns to forecast potential breakdowns form the bedrock for the work. LSTM predictive maintenance strategies, integrated with the maintenance strategies, result in minimum sudden downtime, maximum asset reliability and maximum efficiency of industrial operation. This study proposes deep learning for proactive maintenance in order to redefine the traditional maintenance methods and make the smart manufacturing practices.

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 Keywords

LSTM networks, time-series analysis, predictive modelling, fault detection, smart manufacturing, AI-driven maintenance, equipment monitoring.

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This article explores the multifaceted role of Japan in supporting India's infrastructure transformation, particularly in high-speed rail and urban development. With India facing the challenge of rapid urbanization and an estimated infrastructure investment need of $840 billion over the next 15 years, Japan has emerged as a critical development partner. The study examines bilateral frameworks such as the Comprehensive Economic Partnership Agreement (CEPA) and Japan's Official Development Assistance (ODA), emphasizing Japan's contribution through concessional loans, advanced technology, and strategic cooperation. Projects like the Mumbai-Ahmedabad High-Speed Rail and Delhi-Mumbai Industrial Corridor illustrate Japan's technological and financial involvement. The article also analyzes urban initiatives, smart city collaborations, and energy partnerships, along with the geopolitical implications in the Indo-Pacific context. It further discusses implementation challenges and offers policy recommendations to enhance efficiency and future cooperation. Ultimately, this study demonstrates how the India-Japan partnership serves as a model for sustainable, strategic, and tech-driven infrastructure development in the Global South.

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Japan-India Infrastructure Cooperation, High-Speed Rail in India, Mumbai-Ahmedabad Bullet Train, Shinkansen Technology Transfer, Japan International Cooperation Agency (JICA), Urban Development in India, Smart Cities Mission, Transit-Oriented Development, Indo-Pacific Infrastructure Strategy, Public-Private Partnerships (PPP), Delhi-Mumbai Industrial Corridor (DMIC),Japanese Investment in India, Sustainable Urban Planning, Metro Rail Projects India, Japan's Official Development Assistance (

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In recent years, online shopping has experienced rapid growth across India, extending beyond metropolitan cities into semi-urban and rural regions. Mahoba, a small town in the Bundelkhand region of Uttar Pradesh, presents a unique setting to examine how digital transformation is influencing consumer purchasing behaviour. This study explores the changing dynamics of consumer behaviour towards online shopping in Mahoba, focusing on factors such as convenience, product availability, digital literacy, trust, and payment preferences. The research adopts a mixed-method approach, combining quantitative surveys and qualitative interviews to gain comprehensive insights into consumer attitudes and preferences. Key objectives include identifying the most purchased product categories, the frequency of online shopping, perceived benefits and challenges, and the role of demographic variables such as age, income, and education. Findings indicate that younger consumers (18-35 years) are the most active online shoppers, driven by smart phone usage, ease of access, and attractive pricing. However, issues such as unreliable internet connectivity, delivery delays, and skepticism about product quality continue to hinder widespread adoption among older and rural consumers. Cash on delivery remains the preferred payment method, though digital payments are gradually gaining traction. This study highlights the growing potential of e-commerce in tier-3 towns like Mahoba and provides valuable insights for online retailers, policymakers, and local businesses aiming to expand their reach in semi-urban markets. Recommendations are made to enhance digital infrastructure, promote digital literacy, and build consumer trust to foster a more inclusive online shopping ecosystem.

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 Keywords

Online shopping, Consumers, Digital Payment, Connectivity, E-commerce, convenience.

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 Abstract

Lokpal : Bharat Me Brashtachar Virodhi Sangharsh Ki Ek Shashakt Sanstha

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Lokpal : Bharat Me Brashtachar Virodhi Sangharsh Ki Ek Shashakt Sanstha

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A recent study aimed to develop a sustained-release floating tablet of Vonoprazan Fumarate using a direct compression method to simplify processing. The research began by screening various rate-controlling polymers, with Carbopol 934 and Chitosan evaluated for their effectiveness in modulating the drug release rate. Carbopol 934 was identified as the most effective and selected for further formulation development. Preformulation studies confirmed the compatibility of Vonoprazan Fumarate with the chosen excipients. Fifteen formulations (F1-F15) were developed and subjected to comprehensive physical and chemical evaluations. Formulation F6 demonstrated the most promising results in initial assessments. To optimize the formulation, a factorial design approach was employed, varying the concentrations of Carbopol 934 and a floating agent as independent variables. This design aimed to assess their effects on drug release at the 1-hour mark and on floating lag time. Evaluations of the factorial batches (V1-V9) indicated that all parameters, including weight variation, friability, hardness, and thickness, remained within acceptable limits, with drug content consistently ranging from 97% to 99%. The study found that increasing the concentration of Carbopol 934 resulted in a decrease in drug release, highlighting its significant role in controlling release rates. Conversely, the floating agent concentration primarily influenced the floating time of the tablet. The optimized formulation, designated as V5, exhibited stable performance during a one-month stability study. It demonstrated controlled drug release, effective floating properties, and maintained stability over time. Therefore, formulation V5 is considered a promising candidate for further clinical evaluation.

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Vonoprazan Fumarate, Carbopol 934, Floating tablets.

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As pyrrole has significant medicinal properties analogues of pyrrole (I-VI) were selected and modelled by SwissADME database and physicochemical, pharmacokinetics, drug-likeness and medicinal properties were analysed. The results show that all studied molecules obey Lipinski rule and possess high gastrointestinal (GI) absorption with blood brain barrier (BBB) permeation. I-VI exhibit good bioavailability score, positive leadlikeness and progressive synthetic accessibility.

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Heterocycles, Pyrrole, Theoretical study, SwissADME database and ADME properties

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Marketing exists in a dynamic context that influences strategic choices and outcomes. The micro environment, more specifically, consists of the forces near a company that have a direct influence on its capacity to serve customers.

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Introduction , Key component, Marketing Strategy, Interplay of Micro Environment , Case Studies.

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Despite ongoing reforms, many schools in the Philippine basic education system continue to struggle with delivering consistent and high-quality services due to gaps in leadership effectiveness and teacher empowerment. This study investigates the mediating role of empowerment in the relationship between transformational leadership and service quality among school principals. Using a non-experimental, descriptive-correlational design with path analysis, data were collected from 160 public elementary school teachers in Alabel, Sarangani Province. Results revealed that transformational leadership, empowerment, and service quality were all perceived at high to very high levels. Strong and significant correlations were observed among the variables, with empowerment shown to mediate the effect of transformational leadership on service quality partially. These findings are anchored in Conger and Kanungo's Psychological Empowerment Theory, which explains how leaders can foster meaningful work engagement by enhancing employees' intrinsic motivation. The study highlights the need for leadership development programs that integrate empowerment strategies to strengthen institutional service delivery, supporting the realization of Sustainable Development Goals (SDG) 4 and 16 by promoting inclusive, quality education and effective school governance.

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Transformational leadership, empowerment, service quality, basic education, sustainable development goals.

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Hair health earned more attention in recent years, as contaminants from the environment, lifestyle choices, and modifying beauty standards impact hair quality and appearance. Analytical testing for hair health boasts a scientific approach to recognizing and dealing with these problems. This article analyses the composition and action of hair cosmetics such shampoos and conditioners, as well as their prescription and safety. Dermatologists use their experience of hair care products and side effects to treat hair and scalp difficulties based on hair type and origin (Martha Srinivas, et.al, 2022). This article analyses the compositions and effects of multiple hair cosmetics, which involves shampoos, conditioners, smoothing treatments, hair colours, and henna. This article explores into the main analytical techniques utilized today, their applications in analysing hair health, and the factors that influence hair's structural and biochemical health in the modern era.

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- Hair, hair health, analysis, genetic testing, trichogram

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The Chikankari apparel industry, a significant part of India'sTextile heritage and Handicrafts Industry, is gaining increasing attention both domestically and internationally. Indian Chikankari manufacturers and exporters offer an exquisite range of hand-embroidered kurtis, sarees, and other garments, celebrated for their intricate craftsmanship and cultural significance. The present study was conducted on a sample of Seventy Five consumers to understand purchasing practices, selection criteria, and opinions related to Chikankari apparel. The results revealed that consumers prioritized customization in terms of color and embroidery to suit personal preferences. Additionally, cost, quality, and durability were significant factors influencing their choices. Fabric designs, embroidery styles, and price points emerged as the main selection criteria, with the majority of respondents favoring a specific price range between INR1,500 and INR2,500 for chikankari kurtis . The study also highlighted that customization in Chikankari apparel gave consumers a sense of exclusivity and sophistication, aligning with modern trends while preserving traditional aesthetics.

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Exclusivity, Customization, Chikankari apparel , Traditional aesthetics

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The incorporation of Industry 4.0 technologies has largely helped foster the creation of data-driven culture toward performance excellence within organizations. Due to the fast-growing volume of data being generated through digital mediums-- like mobile phones, social media, and wearable technology--efficient management, analysis, and conversion of data into meaningful information is vital. Big Data Analytics (BDA) is central to system revolution as it increases the quality of decision- making, strategic forecasting, and organizational performance overall. The contribution of BDA to the betterment of decision-making quality, operational productiveness, and achieving competitive edge is a focus of system. The system identifies the need for the integration of digital transformation and data science in the organizational processes for the optimal exploitation of BDA potential. Despite various uses of BDA in various industries, there is still a research gap regarding its combined effect on forecasting, decision-making, and firm performance. Plugging system gap, the research develops a conceptual research model based on the Resource-Based View (RBV) and Dynamic Capability View (DCV) that is validated using the PLS-SEM approach with 366 Indian firm data.

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Big Data Analytics (BDA), Digital Transformation, Organizational Performance, Resource-Based View (RBV), Decision-making, Machine Learning

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Abstract-Creating an efficient and error-free timetable is a critical yet challenging task for educational institutions, often requiring significant manual effort and prone to scheduling conflicts. This paper presents an automated timetable scheduler designed to streamline the scheduling process in colleges. The system generates timetables automatically by taking subjects, faculty names, and specific constraints as input.The primary objective is to reduce the time and effort required for timetable generation while ensuring conflict-free scheduling that adheres to predefined constraints, such as faculty availability and subject requirements. The proposed system employs constraint satisfaction algorithms and a rule-based approach to generate optimized timetables.The methodology integrates a user-friendly interface for data input and employs back-end algorithms to allocate slots efficiently. Key findings demonstrate that the system can produce accurate and scalable timetables within minutes, significantly reducing manual workload. The system also includes features for administrators to manage events and reschedule lectures when necessary.This solution holds the potential to enhance college administration by automating a traditionally time-intensive process, ensuring accuracy, and allowing flexibility for future enhancements, such as multi-campus scheduling or integration with attendance tracking systems.

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Key Words- Automated Scheduling, Conflict-free Scheduling, Timetable Management, Faculty Availability

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Sleep disturbances are prevalent in stress-related disorders, significantly affecting physical and psychological health. Craniosacral therapy (CST), a gentle, non-invasive manual therapy, has shown promise in modulating the autonomic nervous system and promoting relaxation. Although direct evidence linking CST and improved sleep is limited, this review explores the plausible neurophysiological mechanisms through which CST may enhance sleep quality, particularly in individuals with chronic stress, anxiety, and associated conditions. By synthesizing findings from manual therapy, neuroscience, and integrative health literature, this narrative review highlights the therapeutic potential of CST in addressing sleep dysregulation and proposes directions for future clinical research.

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Craniosacral therapy, sleep quality, stress-related disorders, manual therapy, Hypothalamic Pituitary Adrenal Axis, Autonomic Nervous System

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Job satisfaction is one of the most crucial determinants of employee motivation, productivity, and organisational success. This theoretical paper aims to explore the key organisational factors that significantly influence job satisfaction among employees working in the State Bank of India (SBI), Patna. Drawing insights from existing literature, the study highlights the role of factors such as work environment, leadership style, compensation and benefits, performance appraisal systems, interpersonal relations, training and development, and organisational culture. Special emphasis is given to public sector banking dynamics in the Indian context, where job security and organisational policies play a unique role in shaping employee perceptions. The paper critically analyses various established theories of motivation and satisfaction, including Herzberg's Two-Factor Theory, Maslow's Hierarchy of Needs, and Equity Theory, to examine how these frameworks align with the experiences of SBI employees. Furthermore, it discusses the interrelationship between employee satisfaction and organisational outcomes like employee retention, service delivery, and institutional reputation. While this paper is theoretical in nature, it also lays the groundwork for empirical investigations by identifying measurable dimensions of job satisfaction specific to the public banking sector. The findings of this review suggest that improving internal organisational practices can lead to enhanced employee satisfaction and overall efficiency in service delivery. The study concludes with implications for human resource managers and policy makers in SBI and similar public sector organisations, with suggestions for fostering a more satisfying and productive work environment.

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Job Satisfaction, Organisational Factors, Public Sector Banks, State Bank of India (SBI), Employee Motivation

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Motion sign based language becomes important roles for mute community for data transmission. Mute people facing very difficult situation to convey information to normal people. We find the solution for dumb community to make their communication simple and smart using micro processor. We proposed a latest sign language system for dumb people; it helps in emergency situation to convey their required information to normal people easily. This proposed system converts their sign signal to voice. In this proposed method we implemented using Raspberry Pi microprocessor to fast conversion of data. In this technique two major roles that sign based data conversion and voice generation system using micro processor. For the implementation of this enhanced sign conversion system we used open cv camera as sign conversion and RPI module for processing and 3.5mm Audio jack for voice enable. This proposed system will be useful to all mute community, physically unable persons as well as older people to share their information in any situation.

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Raspberry Pi, sign language, speech conversion, mute community, microprocessor, openCV, camera, voice generation, data transmission, communication, accessibility, assistive technology, physically disabled, emergency situations.

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Chemical methods of hair colouring leads to environmental and health problems and is used all over the world. Present study includes use of herbal drugs like Eclipta prostrate, murraya koenigii, Emblica officinallis, Ficus benghalensis roots aerial, Aloe vera for the formulation of herbal hair colour which is natural and will minimize the side effects of chemicals like eye irritation, hair breakage, dandruff, chemical burns and sometimes cancer as well. present study aims to prepare and standardize the herbal hair dye preparation for its quality and stability aspects

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Herbal hair dye, herbal drugs, skin irritation,hair problems.

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Peas (Pisum sativum L.) are a nutrient-dense legume crop that is an excellent source of protein, vitamins, minerals, and bioactive compounds necessary for the human body. This review provides an extensive summary of the chemical ingredients and health benefits of peas and their products, focusing on their potential as a sustainable and healthy food. We converse about the nutritional profile of peas, together with their protein quality, glycemic index, and content of essential minerals and vitamins. The review also inspects the biological activities of pea-derived bioactive compounds, such as flavonoids and polyphenolics, and their potential health care benefits, including regulation of metabolic syndrome, cardiovascular disease prevention, and antioxidant effects. Additionally, we study the processing and food application of peas and their components, along with hot air frying technology as a healthier substitute for deep-frying. This review aims to stimulate further research into the expansion of pea-based products and their ability to promote sustainable and healthy eating habits.

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Functional properties, bioactive compounds, dietary fiber, polyphenol, modifications, functional grain.

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To have a better response towards criminal activity, it is very important that one should understand the patterns in crime. We analyze this pattern by taking crime datasets from the Chicago Police Department's CLEAR (Citizen Law Enforcement Analysis and Reporting) system. This dataset includes different blocks of the city of Chicago. The major aim of this mission is to expect which category of crime is most probably to take place at a detailed time and places in Chicago. Finally, this paper uses a different algorithm like Random Forest, Decision Tree and different ensemble methods such as Extra Trees, Bagging and AdaBoost to evaluate the accuracy given by each algorithm

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distance-decay principle, space tendency, transition density mode

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The integration of Artificial Intelligence (AI) into corporate governance is reshaping how organizations manage accountability, transparency, and decision-making. AI technologies offer powerful tools for enhancing risk assessment, regulatory compliance, fraud detection, and board-level decision support. This paper explores the transformative role of AI in strengthening corporate governance structures, examining both the opportunities and ethical challenges that arise from AI adoption. By analyzing current use cases, regulatory implications, and governance frameworks, the study provides insights into how businesses can responsibly harness AI to drive sustainable and ethical corporate practices. The discussion also highlights the need for robust oversight mechanisms to ensure AI systems align with governance principles and stakeholder expectations.

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Artificial Intelligence (AI), Corporate Governance, Ethical AI, Risk Management, Transparency, Accountability, Decision-Making, Board of Directors, Compliance, Regulatory Technology (RegTech), Fraud Detection, Data Governance, AI Oversight, Algorithmic Accountability, Governance Frameworks, Stakeholder Trust, AI Ethics, Automation in Governance, Predictive Analytics, Responsible AI.

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Multicast is used in networking to efficiently send data from one sender to multiple receivers, without burdening the network with multiple copies of the same data. It helps in efficient usage of bandwidth Instead of sending individual copies of the same data to each receiver (as with unicast), multicast sends a single copy of the data to all receivers that are interested. This saves bandwidth, especially when there are many receivers. Sending a video stream to multiple devices can be done using broadcast, but a broadcast packet sends traffic to all ports and will not be forwarded across routers. To overcome this limitation, we use multicast. This paper provides a brief overview of the components of multicast and the protocols that help multicast to work

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IGMP,PIM,PIM Sparse, PIM Dense, Multicasting

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Creative Commons Attribution 4.0 and The Open Definition