Volume 13 | Issue 4 |

 Abstract

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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 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

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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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 Keywords

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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 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

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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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 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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 Keywords

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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Creative Commons Attribution 4.0 and The Open Definition

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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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 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

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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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 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

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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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 Keywords

distance-decay principle, space tendency, transition density mode

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Creative Commons Attribution 4.0 and The Open Definition

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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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 Keywords

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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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

IGMP,PIM,PIM Sparse, PIM Dense, Multicasting

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Creative Commons Attribution 4.0 and The Open Definition