Volume 13 | Issue 4 |

 Abstract

Kangaroo mother care (KMC) is a technique that involves skin to skin contact between a newborn infant and a care giver.. This review standpoints the effect of KMC on post natal mothers to gain knowledge and practice, weight gain of LBW neonates,. KMC-TP also improves breastfeeding rates and reduces mortality rates during the hospital stay as well as at home. KMC-TP can be provided not only by mothers but also by fathers, Grandparents and other adults in the family. However, it is not routinely practiced in hospitals. Short-term and long-term KMC-TP is beneficial for life survival, growth and development, neurobehavioral development, organ development, breastfeeding, and mother-infant bonding. When the babies were delivered before completion of 37wks of gestation those babies are more likely to experience neonatal mortality and morbidity due to acute breathing problems, gastrointestinal problems, autoimmune disorders, and neurological defects as compared to full-term and normal-weight gain infants. A thorough literature search was conducted using key databases like PubMed and Google Scholar, as well as web of sciences and Medical Subject nursing Heading (MeSH) terms and related keywords. Clinical health experts also believed that implementing with good practices of KMC-TP would assist mothers in developing their emotional bonds with their baby. As a result, KMC managed babies had better weight gain ,earlier hospital discharge and more impressively, empowers parents : good bonding , increased confidence , and deep satisfaction due to active involvement in KMC-TP and also improves health outcome by providing early Breast feeding, temperature regulation and Strong bonding. It is crucial to remember that KMC-TP works better for babies with very low birth weight (VLBW), preterm babies, infant wellbeing and develop good bonding among mothers with their infants. The mother-child relationship enhances growth parameters like physical, behavioral and psychosocial parameters.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Kangaroo mother care , mother, infant

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research paper examines the health implications of night shift paintings in various industries, specifically in IT and production sectors. The study explores bodily, intellectual, and social fitness demanding situations faced by using night time shift employees and employs Orange Data Mining strategies to analyze actual-international datasets for patterns in health risks. By understanding those developments, effective answers are proposed to mitigate the poor impact of night shifts on employees' nicely-being.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Night Shift Work, Occupational Health, Sleep Disorders, Mental Health, Circadian Rhythm, Fatigue, Orange Data Mining, Workplace Wellness, Health Solutions, Data-Driven Analysis.

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Creative Commons Attribution 4.0 and The Open Definition

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As machine learning models become more prevalent, safeguarding privacy has become a critical challenge. This paper offers a comprehensive review of privacy-preserving machine learning (PPML) approaches, highlighting key techniques, existing challenges, and potential directions for future research. It examines the integration of privacy-preserving strategies into machine learning algorithms, workflows, and system architectures. The review also underscores the dynamic regulatory landscape and emphasizes the urgent need for innovative measures to address privacy concerns effectively. To advance the field, we introduce a structured framework, termed the Phase, Guarantee, and Utility (PGU) model, for systematically evaluating PPML approaches and offering guidance for both researchers and practitioners. By encouraging collaboration across disciplines--including machine learning, distributed systems, security, and privacy--this work aims to accelerate the development of robust and privacy-focused machine learning systems

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine learning differential Privacy

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Business dashboards use Key Performance Indicators (KPIs) to give essential insights, but it's still challenging to efficiently extract and analyze large amounts of data. Decision-making is frequently hampered by cognitive overload, which reduces the usefulness of these tools. In order to automatically extract and summarize KPIs from dashboard screenshots, this study presents a Business Dashboard Summarizer that uses Large Language Models (LLMs), computer vision, and optical character recognition. The solution improves accessibility, reduces information overload, and improves business intelligence productivity by turning raw data into concise, natural-language summaries. This study demonstrates how AI-driven summarization can optimize data interpretation and make strategic insights easy to use and more actionable.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Business Dashboard, KPI Extraction, LLMs, AI Summarization, Computer Vision, Business Intelligence, Optical Character Recognition.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study investigates the economic and social impact of digital payment adoption in rural areas, where financial inclusion and access to formal financial services have long been significant challenges. With the increasing penetration of mobile phones and internet connectivity, digital payment systems are becoming more accessible to rural populations, offering a promising solution to these challenges. The research aims to assess the level of adoption, evaluate economic benefits such as increased financial inclusion, reduced transaction costs, and improved access to financial services, and explore social implications including changes in financial behavior, empowerment, and social relationships. The study uses a mixed-methods approach, combining quantitative survey data with qualitative insights gathered from rural communities through focus groups and interviews. The findings provide valuable insights into the potential benefits and challenges of promoting digital payments in rural areas, informing policymakers, financial institutions, and digital payment service providers on how to harness the potential of digital payments for promoting financial inclusion and economic development. By shedding light on the complex interactions between digital payments, economic outcomes, and social dynamics in rural areas, this research contributes to the development of targeted strategies and interventions that can enhance the accessibility, effectiveness, and sustainability of digital payment systems in these regions. Ultimately, this study aims to foster a more inclusive and sustainable financial ecosystem in rural areas, where digital payments can play a key role in improving the economic and social well-being of rural populations.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Digital payments, rural areas, financial inclusion, economic impact, social impact, financial behavior, empowerment

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

An innovative device referred to as a virtual hand gesture mouse seeks to enable individuals to operate computers using more ease than before without any conventional hardware. Advanced computer vision strategies are explored to identify movements of the human hand from a camera shot including shape analysis, object detection, and machine learning. Specific hand movements, including finger movements for moving the cursor, clicking, scrolling, and dragging objects, are commonly recognized by the system. The Hygienic, Simple and Convenient Touchless Technology Touchless technology is a hygienic, simple, and convenient way of approaching different activities that are executed on a daily basis. The touchless technology is characterized by the absence of any physical contact with the device that one is using to execute a certain application or activity. It is mostly used in places such as the hospitals where there are high chances of contracting various diseases through physical contact with the devices. According to researchers, the amount of bacteria in a single computer mouse is more than that of a human toilet. In order to reduce the chances of contracting diseases, the touchless technology is applied in places such as the hospitals to prevent any form of physical contact with the devices. The touchless technology is also used in the public places where touching is not allowed. In such places, the human beings are expected to perform various activities based on the touchless technology. The touchless technology is not only applied in public places but also in the case of virtual reality where one is expected to perform various activities in accordance to the touchless technology. The touchless technology enables the user to be able to use a device without necessarily having any physical contact with the device. The hand gesture control can also be used to aid the physically challenged users.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Touchless technology, Virtual hand gesture mouse, Hand gesture control, Physical contact, Virtual reality, Computer vision

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

: This project showcases a detailed design and implementation of a real-time physiological monitoring system that uses a low-power, secure Wireless Body Area Network (WBAN) built on the E-SECMAC algorithm. The system allows for continuous monitoring of vital signs such as electrocardiogram (ECG), heart rate, blood pressure, and body temperature, all while keeping energy consumption low and ensuring secure data transmission through advanced encryption methods. By taking advantage of the E-SECMAC cluster-based structure and adaptive clustering approach, the system significantly enhances scalability, energy efficiency, and reliability, making it ideal for remote health monitoring. Its performance has been thoroughly tested through extensive simulations and experiments, proving its capability to deliver accurate and dependable physiological data in real time. This innovative system has the potential to transform healthcare delivery by facilitating remote monitoring of patients with chronic conditions, leading to better patient outcomes and lower healthcare costs. Moreover, its flexibility and scalability make it a compelling option for a variety of applications, including sports, fitness, and elderly care. Overall, this project contributes to the advancement of next-generation healthcare technologies, setting the stage for the widespread use of WBANs in remote health monitoring. The insights gained from the system's design, implementation, and evaluation highlight the transformative potential of WBANs in enhancing healthcare delivery and improving patients' quality of life.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Wireless Body Area Network (WBAN), E-SECMAC algorithm, physiological monitoring, low-power design, secure communication, and real-time monitoring.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study focuses on analyzing Total Dissolved Solids (TDS), biological activity, and key physiological indicators across various regions surrounding Raipur. TDS is one of the primary impurities found in mixing water, and its concentration must adhere to specific limits as outlined in construction codes, given its potential to affect concrete properties. The research examines how variations in TDS levels influence both the fresh and hardened states of concrete. TDS, characterized by its low signal-to-noise ratio and optical inertness, is typically detected indirectly through changes in optically active water quality parameters (WQPs) within the visible, near-infrared, and infrared spectra. The findings suggest elevated TDS concentrations in contaminated sites, with marked vertical variations in TDS and bulk conductivity, indicating significant spatial and depth-related variability. Beyond its effects on construction materials, elevated TDS levels adversely impact ecosystems and human health, influencing organs such as the gastrointestinal system, heart, lungs, skin, liver, and reproductive system. Furthermore, water with TDS levels exceeding 500 ppm can cause excessive scaling in household appliances like boilers, heaters, and pipelines. To mitigate the risks associated with high TDS levels, various removal techniques have been developed, including ion exchange, electrochemical methods, precipitation, desalination, nanofiltration, distillation, ultrafiltration, forward osmosis, and reverse osmosis. However, each method has its own limitations regarding efficiency and applicability across different water matrices. This review explores the relationship between TDS and other physicochemical parameters based on an analysis of fifteen water samples collected from multiple locations within Raipur city. The primary objective of the research is to assess the quality of drinking water available to residents. The results demonstrate that many water samples exhibit TDS concentrations within the permissible limits set by the Bureau of Indian Standards (BIS), with detailed observations presented in the discussion section. The study emphasizes the importance of public awareness regarding the long-term health risks associated with consuming water from various regions.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

KEYWORDS: Total Dissolve Solids, Conductivity, Temperature, Raipur

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The potential of artificial intelligence (AI) to automate data collection, analysis, and interpretation from multiple sources is the main topic of this paper, which examines the integration of AI into pharmacovigilance (PV) systems. In addition to discussing difficulties and moral issues including algorithmic prejudice and data privacy, it offers suggestions for further study and application in this important area.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Pharmacovigilance, Artificial Intelligence, Adverse drug reactions.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study presents an explainable artificial intelligence (XAI)-driven framework for lithium-ion battery prognostics, addressing the dual challenges of prediction accuracy and interpretability in battery management systems (BMS). Using publicly available datasets from NASA and CALCE, Gradient Boosting, LSTM, and Transformer models were developed, with the Transformer model achieving the best results (MAE: 0.0275, RMSE: 0.0356). To ensure transparency, SHAP and LIME were applied for global and local feature attribution, while attention mechanisms revealed critical temporal patterns. Key degradation indicators such as internal resistance growth and voltage variation were consistently identified. The proposed framework offers a practical and trustworthy solution for accurate and interpretable RUL and SOH prediction, supporting real-world deployment in electric vehicles and energy storage applications.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

XAI, Lithium-ion Battery, SHAP, LIME, RUL/SOH

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Creative Commons Attribution 4.0 and The Open Definition