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1077 articles for “ART”
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A Study to Assess the Effectiveness of Video Assisted Teaching Module on Knowledge Regarding Techniques of Expressing and Utilization of Expressed Breast Milk to Establish Exclusive Breastfeeding Among Working Lactating Mother in Selected Industries, Bhub
Abstract: Breast milk – “The liquid gold,” nutritionally and immunologically, there is no challenge as to the dominance of human breast milk over formula, which cares child and the mother. Articulated breast milk was suggested as substitute for breast milk. This necessitated the storage of milk for longer time and making it more widely acceptable and usable. The use expressed breast milk for those infant had made considerable impact on morbidity …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 4, Issue 1, 2018 · pp. 47–58 Read article
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Importance of Fiber in Human Health
Abstract: Fiber is an essential component in modern science and daily life, contributing significantly to both human health and technological advancement. In Dietary fiber is an essential component of nutrition that contributes significantly to overall health and disease prevention. It is mainly derived from plant-based sources including fruits, vegetables, legumes, nuts, and whole grains. Fiber supports healthy digestion, enhances bowel regularity, prevents constipation, and promotes the growth of beneficial intestinal microorganisms. …
Published in International Journal of Chemical Synthesis and Chemical Reactions · Vol. 12, Issue 2, 2026 Read article
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Nurses' Responsibilities and Patients' Rights in Safe Medication Administration
Abstract: Safe medication administration is a fundamental responsibility of nurses and a critical element of quality healthcare. As the final healthcare professionals involved before medications reach patients, nurses play a vital role in preventing medication errors, ensuring adherence to prescribed treatments, and protecting patient safety. Equally important is the recognition and protection of patients' rights throughout the medication administration process, including the right to receive accurate information, participate in decision-making, provide …
Published in International journal of Nursing Science Practice and Research · Vol. 12, Issue 2, 2026 · pp. 6–15 Read article
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Brain-Inspired Computing: The Rise of Neuromorphic AI
Abstract: Neuromorphic computing is an emerging computing paradigm that draws inspiration from the structure and operational principles of the human brain. By integrating ideas from neuroscience, computer design, and materials science, neuromorphic systems aim to deliver high-performance, low-power computation that is suitable for smart data processing. Unlike traditional von Neumann architectures, neuromorphic hardware uses massively parallel processing, event driven computation, and adaptive learning. This paper provides an overview of neuromorphic principles, …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 12, Issue 2, 2026 Read article
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Deep Learning Techniques for Optimizing Resource Allocation and Sustainability in the Next Generation of 6G Wireless Networks
Abstract: The upcoming sixth generation (6G) of wireless communication networks aims to meet challenging requirements such as ultra-reliable low-latency services, massive connectivity for billions of smart devices, and intelligent automation across highly diverse environments. Along with these goals, the issues of energy efficiency and environmental sustainability are becoming equally important, as the rising number of users and traffic volumes will directly increase power demand and carbon emissions. To lower total energy …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 Read article
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Detailed survey on detection of Dirtiness of PV panels using different approaches
Abstract: The accumulation of dust, dirt, bird droppings, pollen, and other environmental contaminants on photovoltaic (PV) panels significantly reduces their power generation efficiency and increases operational and maintenance costs. Therefore, timely and accurate detection of the cleanliness condition of solar panels is essential for maintaining optimal energy production, improving system reliability, and extending the operational lifespan of PV installations. In recent years, considerable research interest has been directed toward automated soiling …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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Fault-Tolerant Modular Power Converter for Large-Scale Renewable Energy Integration
Abstract: The rapid expansion of large-scale renewable energy systems has significantly increased the demand for highly reliable and fault-resilient power electronic converters capable of maintaining stable grid operation under component failures and fluctuating renewable power generation. This paper proposes a Fault-Tolerant Modular Power Converter (FTMPC) for large-scale renewable energy integration, incorporating a modular multilevel architecture, intelligent fault diagnosis, and adaptive reconfiguration control to ensure uninterrupted power conversion. The proposed converter continuously …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 2, 2026 Read article
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Microbial and Enzymatic Degradation of Polyethylene: Molecular Mechanisms, Omics Approaches, and Biotechnological Applications
Abstract: Abstract: Polyethylene (PE), a commonly used synthetic polymer, is highly resistant to natural breakdown, leading to serious environmental and ecological issues such as soil and marine pollution, the formation of microplastics, and risks to wildlife and human health. Recent efforts have focused on using microbial and enzymatic processes to handle polyethylene waste. Microorganisms such as bacteria (Pseudomonas, Bacillus), fungi (Aspergillus, Penicillium), and algae produce enzymes like laccases, peroxidases, oxygenases, and …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 12, Issue 2, 2026 Read article
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Biomimicry, Marketing Technology or MarTech are Interlinked
Abstract: Biomimicry is exactly that! It's the practice of copying nature's proven patterns and strategies to solve human problems in a sustainable way. By learning from 3.8 billion years of natural evolution, people can create eco-friendly technologies, like buildings that save energy or materials that are kind to the environment, which also help support nature. Some famous examples come from different areas: In transportation, the Japanese Shinkansen bullet train was designed …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 12, Issue 2, 2026 Read article
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Animal Biotechnology: Finding a Balance Between New Ideas and Morality
Abstract: Animal biotechnology has become a revolutionary subject that combines genetics, farming, and medicine. It offers new ways to solve global problems like food security, disease management, and drug manufacturing. Scientists have used genetic engineering, cloning, transgenesis, and genome editing to make livestock more productive, generate animals that are immune to disease, and make useful scientific models. Transgenic animals are also being utilized more to make therapeutic proteins and help with …
Published in International Journal of Animal Biotechnology and Applications · Vol. 12, Issue 1, 2026 Read article
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General and Organic Chemistry Laboratory Experiments for Science , Pre-medical, and Pharmacy Students Chapter I: Introduction to Safety
Abstract: For a long time, there has been little emphasis on teaching laboratory safety until the safety precaution, rules and procedure became important criteria for a chemical laboratory to meet safety standards. This enhanced several researchers to publish articles showing the importance of applying the safety rules prior to making any laboratory work and experiments in order to keep mankind safe. By the time, in each research place, hospital laboratory, factory …
Published in International Journal of Environmental Chemistry · Vol. 12, Issue 1, 2026 · pp. 83–98 Read article
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Heritage-Sensitive Redevelopment of Bhuleshwar,Mumbai: A Sustainable Urban Development Approach
Abstract: Bhuleshwar, one of the oldest commercial precincts in South Mumbai, represents a unique urban landscape where traditional markets, religious institutions, historic architecture, and craft-based economies coexist within a dense mixed-use environment. Renowned for its imitation jewellery trade, flower markets, textile shops, and temple precincts, the area serves as an important cultural and economic hub. However, rapid urbanization, aging infrastructure, overcrowding, traffic congestion, deteriorating building conditions, inadequate sanitation, and redevelopment pressures …
Published in International Journal of Architectural Heritage · Vol. 9, Issue 2, 2026 Read article
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Design and Implementation of an IoT-Based Smart Lux Level Controller for Intelligent Lighting System
Abstract: In order to improve the automation and effectiveness of lighting systems in smart buildings, this research details the development of a Smart Lux Level Controller based on the Internet of Things (IoT). Using a BH1750 light sensor, the system continually measures the ambient lux levels and instantaneously adjusts the artificial lighting intensity to ensure optimal illumination. An ESP32 microcontroller analyzes sensor data and controls lights using relay switches or dimming …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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A Review on FPGA-Based Automatic Crash Detection and Airbag Deployment System
Abstract: Every year there are many people die or become injured due to car crashes around the world- -these injuries can vary from slight to severe. Airbags prevent car accident related injury and death. In order for the airbag to operate successfully (i.e., airbag to deploy properly, at the right speed, for the right amount of time) there has to be a decrease in the time that it takes to deploy …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 Read article
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AI-Based Image Detection of Rice Crop Diseases Using Deep Learning and Grad-CAM
Abstract: The Indian economy relies heavily on agriculture, and rice is one of the most significant staple crops grown in the country. Nevertheless, rice cultivation faces numerous challenges due to several leaf diseases, such as bacterial leaf blight, brown spot, and leaf smut. These diseases can lead to substantial yield losses and financial burdens for farmers. Therefore, the early detection and classification of these diseases are essential to minimize crop damage …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 2, 2026 Read article
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Integrated Telecommunication Systems: Networking,Security, and Emerging Technologies inNext-Generation Communication Networks
Abstract: Integrated telecommunication systems play a crucial role in enabling reliable, high-speed, and scalablecommunication across modern digital infrastructures. This paper presents a comprehensive review ofintegrated telecommunication systems with a focus on networking architectures, security mechanisms,and emerging technologies in next-generation communication networks. It examines the fundamentalcomponents of communication systems, including transmission media, communication channels, andstandardized networking protocols, highlighting their contribution to efficient data exchange andsystem interoperability. The study explores both wired and …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 36–45 Read article
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AI-Assisted Code Generation: Integrating Natural Language Models with Compiler Frameworks for Enhanced Software Development
Abstract: The rapid evolution of Artificial Intelligence (AI) has profoundly transformed contemporary software engineering practices, particularly through the emergence of AI-assisted code generation driven by large-scale natural language models (NLMs). These models, trained on extensive repositories of source code and technical documentation, enable developers to generate, modify, refactor, and optimize source code directly from natural language instructions, thereby significantly reducing manual coding effort and accelerating overall software development cycles. By allowing …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 1–7 Read article
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AI-Based Deepfake Voice Detection Model for Hindi Language
Abstract: Most current research on deepfake voice detection focuses heavily on English or Mandarin, creating a significant security gap for Hindi speakers. To address this, we developed a detection framework specifically tailored for the Hindi language using a lightweight approach: Mel-Frequency Cepstral Coefficient (MFCC) feature extraction paired with an XGBoost classifier. We trained the system on a large dataset comprising over 99,000 real voice samples and roughly 3,800 synthetic samples, each …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 2, 2026 Read article
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A Comprehensive Review of Convolutional Neural Network Architectures and Evolution
Abstract: Convolutional Neural Networks (CNNs) have become a foundational deep learning framework in computer vision because they can automatically extract layered, increasingly complex features directly from raw image data. CNNs use convolutional, pooling, and activation layers to extract spatial patterns from basic edges to intricate object components, drawing inspiration from the human visual cortex. An overview of CNNs’ basic architecture is given in this study, along with an explanation of important …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 32–40 Read article
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Advanced Classification of Diabetic Retinopathy Using GAN and Deep Residual CNN Model
Abstract: Diabetic retinopathy (DR) is a leading cause of blindness worldwide, impacting the largest number of individuals who have diabetes. Early identification of diabetic retinopathy may help to prevent severe effects; however, the very limited availability of labeled datasets, and the possibility of overfitting of the model, presents obstacles to obtaining an accurate diagnosis. In this research, a hybrid deep learning strategy is introduced, where Generative Adversarial Networks (GANs) are used …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 8–16 Read article