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922 articles for “advanced”
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A Review on LIFI- Data Transmitting System
Abstract: Using visible light as a channel for high-speed data transfer, Li-Fi (Light Fidelity) is a quickly developing wireless communication technology that offers a highly effective and cutting-edge substitute for traditional radio frequency (RF)-based systems like Wi-Fi and Bluetooth. With the exponential growth of connected devices and the increasing demand for faster and more reliable communication, the RF spectrum is becoming congested, leading to reduced performance and interference issues. In order …
Published in International Journal of Digital Communication and Analog Signals · 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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Modeling Twin-Twin Twin-to-Twin Transfusion SyndromeOutcomes: A Comprehensive Review
Abstract: Twin-to-twin transfusion syndrome (TTTS) is a serious complication of monochorionic twin pregnancies, characterized by unequal blood sharing between twins through placental vascular connections. This condition can lead to significant morbidity and mortality if not identified and managed promptly. This review explores the clinical outcomes associated with TTTS, emphasizing factors that influence prognosis and the effectiveness of current treatment modalities. A comprehensive analysis of recent therapeutic interventions, including fetoscopic laser ablation …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 12, Issue 1, 2026 · pp. 26–32 Read article
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The Role of Obstetric and Gynecological Nursing in Enhancing Maternal and Neonatal Health Outcomes
Abstract: Obstetric and Gynecological (OBG) Nursing is a specialized nursing discipline that focuses on the comprehensive health care needs of women throughout their lifespan, from puberty to post-menopause. This field plays a crucial role in promoting maternal and neonatal health, reducing maternal and infant mortality rates, and supporting women’s reproductive rights. OBG nurses provide holistic care encompassing the entire continuum of reproductive health, including antenatal, intranatal, and postnatal care, gynecological management, …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 12, Issue 1, 2026 · pp. 21–25 Read article
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A Descriptive Study of Leucorrhea and Its Etiological and Clinical Aspects
Abstract: Leucorrhea, commonly defined as excessive vaginal discharge, is a prevalent concern among women of reproductive age. It can be broadly classified as physiological or pathological. Physiological leucorrhea is usually linked to normal hormonal fluctuations during puberty, ovulation, pregnancy, or the menstrual cycle and is generally harmless. In contrast, pathological leucorrhea may indicate underlying conditions, such as bacterial, fungal, or parasitic infections, hormonal disturbances, poor genital hygiene, or, in rare cases, …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 12, Issue 1, 2026 · pp. 15–20 Read article
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Adolescent GynaecologyGynecology: Navigating Reproductive Health in the Transitional Years
Abstract: Adolescence is a critical developmental stage characterized by rapid physical, emotional, and reproductive changes. During this period, girls commonly experience gynecological issues that differ from those seen in adult women and require age-appropriate care. Menstrual disturbances are among the most prevalent concerns, including dysmenorrhea and heavy menstrual bleeding, which can significantly impact daily activities, school attendance, and quality of life. Hormonal disorders, such as Polycystic Ovary Syndrome (PCOS), are also …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 12, Issue 1, 2026 · pp. 8–14 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 II: Glassware, Tools and Equipments
Abstract: A scientific chemistry laboratory plays a vital role in education, research, healthcare, and industrial applications by providing a controlled environment for conducting chemical experiments and analyses. An efficient laboratory must be designed according to established safety and operational standards, ensuring that every component, including glassware, tools, instruments, laboratory equipment, storage facilities, and instructional resources, is readily available and properly maintained. The absence or shortage of essential laboratory materials can hinder …
Published in International Journal of Environmental Chemistry · Vol. 12, Issue 2, 2026 · pp. 1–15 Read article
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The Economical Managements Model of Corrosion Protection of Materials
Abstract: Corrosion affects many sectors, including industries, railways, transportation systems, marine environments, construction, housing components, engineering tools, metallic structures, and even biomedical implants. Due to corrosion, major financial losses occur in these fields. Corrosion takes place because of changes in the internal morphology of materials, or the attack of corrosive substances present in the environment. These unfavorable physical, chemical, and biochemical reactions lead to various forms of corrosion such as galvanic …
Published in International Journal of Metallurgy and Alloys · Vol. 12, Issue 2, 2026 · pp. 1–11 Read article
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Securing Smart Electrical Systems through Comparative Analysis of Machine Learning Models for Classification
Abstract: In the realm of cybersecurity, the intersection of technology and security measures has spurred significant advancements, particularly in safeguarding electrical systems against cyber threats. This research delves into the evolving landscape of cybersecurity within electrical systems, leveraging machine learning techniques to mitigate challenges. By incorporating cybersecurity protocols with machine learning algorithms, this study demonstrates enhanced security measures tailored for electrical infrastructures, pivotal in ensuring efficiency and resilience. Through meticulous examination, …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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Survey on Clubroot Disease (Plasmodiophora brassicae) of Mustard in Jamalpur District of Bangladesh
Abstract: The survey was conducted to determine the present status of Clubroot disease (Plasmodiophora brassicae) of Mustard at Jamalpur district of Bangladesh during the Rabi season of 2024–2025. A total of 25 farmers’ fields in 2 (two) Upazilas viz., Islampur and Dewanganj in Jamalpur district of Bangladesh were surveyed for Clubroot disease occurrences of Mustard. The varieties cultivated during survey were BARI Sharisha-14, BARI Sharisha-17, Tori-7, BINA Sarisha-9 and local cultivars …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 2, 2026 · pp. 32–39 Read article
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An Extensive Analysis of QC's Difficulties & Restrictions
Abstract: QC constitutes a fundamental shift in computational paradigms by exploiting quantum mechanical phenomena namely superposition, entanglement, and interference to achieve computational advantages over classical systems for specific problem domains. Despite significant theoretical progress, the realization of large-scale, fault-tolerant quantum computers remains impeded by a range of intrinsic and technological constraints. This paper offers a thorough & critical analysis of the principal challenges associated with QC, with a focus on de- …
Published in International Journal of Analog Integrated Circuits · Vol. 12, 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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Automated Vehicle classification and counting for Smart City Traffic management using AI/ML and DL
Abstract: Traffic jams and safety on the road have become a serious problem in modern cities. They need smart and versatile solutions. This project is a proposal to use automated vehicles to count and classify real- time vehicles. The system will enhance the traffic monitoring and management in smart cities. It can identify and differentiate the various kinds of vehicles: cars, trucks, buses, and motorcycles by utilizing machine learning on real-time …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 Read article
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Remote Sensing Technologies for Weather Forecasting: Techniques, Uses, andAssessment
Abstract: Remote sensing has become an important tool for modern weather forecasting since it lets us see the Earth's atmosphere and surface all the time and on a huge scale. Remote sensing uses satellites and sensors to collect data in real time on important weather variables like temperature, humidity, cloud cover, precipitation patterns, and atmospheric motion. These numbers are used in numerical weather prediction models to make forecasts more accurate and …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 1, 2026 · pp. 25–34 Read article
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The Role of Artificial Intelligence in Mental Health: New Approaches for Diagnosis and Treatment
Abstract: Artificial intelligence (AI) is increasingly reshaping mental health care by supporting early identification of mental health conditions, improving diagnostic accuracy, and enabling personalized intervention strategies for disorders such as depression, anxiety, and post-traumatic stress disorder. Advanced AI technologies, including machine learning algorithms and natural language processing techniques, allow analysis of large-scale behavioral, textual, and speech-based data to identify patterns related to emotional and cognitive health. These tools help clinicians make …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 22–26 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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An approach for Intelligent detection of dirty PV panels using image processing with YOLOv8
Abstract: The efficiency of solar photovoltaic (PV) systems is greatly affected by the condition of panel surfaces, as dust buildup and other impurities can noticeably reduce power output. Traditional maintenance methods rely largely on manual inspection, which can be subjective, inconsistent, and impractical for large-scale installations. To address these challenges, this work investigates a deep learning-based computer vision approach for the automatic assessment of solar panel cleanliness. In this work, a …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 12, Issue 2, 2026 Read article
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Getting Rid of Carbon: A New Direction for the Chemical Industry
Abstract: The chemical industry is a major contributor to global greenhouse gas emissions due to its reliance on fossil-based feedstocks, energy-intensive processing routes, and long-lived capital infrastructure. Achieving international climate targets therefore requires deep decarbonisation across the entire chemical value chain, a transition complicated by technological limitations, economic risks, and systemic operational barriers. This article critically evaluates key emission-reduction pathways, including electrification of process heat, substitution of fossil resources with bio-based …
Published in International Journal of Chemical Engineering and Processing · Vol. 12, Issue 1, 2026 · pp. 52–61 Read article