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412 articles for “Specificity”
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Driver Drowsiness Detection System
Abstract: One of the main causes of road accidents worldwide in recent years is driver fatigue. Assessing a driver's mood, or how sleepy they are, is a clear approach to gauge their level of exhaustion. Therefore, detecting driver fatigue is very important to save lives and property. The creation of a prototype drowsiness detection system is the aim of this research. The system operates in real time, continuously capturing images and …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 16–21 Read article
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Design and Performance Analysis of Silicon Photonic Waveguides for High-Speed Optical Communication
Abstract: The exponential growth of data traffic in data centers and high-performance computing systems necessitates a paradigm shift from conventional electrical interconnects to high- speed, low-power on-chip optical interconnects. Silicon Photonics (SiP) is the leading platform for this transition due to its compatibility with CMOS manufacturing and the high- index contrast between silicon (Si) and silicon dioxide (SiO 2 ). This paper details the design, simulation, and comprehensive performance analysis of …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 29–37 Read article
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A Study on Optical Stethoscope
Abstract: The traditional stethoscope, a staple in medical diagnosis, has remained relatively unchanged since its inception. However, with the advent of cutting-edge technologies, a revolutionary Optical Stethoscope design has emerged, poised to transform the field of medicine. In a breakthrough that promises to transform the medical landscape, a team of innovative engineers and researchers has unveiled the results of their pioneering work on optical stethoscope design. This revolutionary device is set …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 22–28 Read article
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A Quasi-Experimental Study to Assess the Effectiveness of Yog-Nidra on Improving Quality of Life Among Cancer Patients Undergoing Radiotherapy in Selected Cancer Hospitals at Raipur (Chhattisgarh)
Abstract: The present study aimed to evaluate the effectiveness of Yog-Nidra on improving the quality of life among cancer patients undergoing radiotherapy. The specific objectives were to assess pre-test and post-test scores before and after the Yog-Nidra intervention in both experimental and control groups, determine its effectiveness in enhancing quality of life, and identify any associations between pre-test scores and selected demographic variables. A pre-experimental one-group pre-test and post-test design was …
Published in International Journal of Oncological Nursing and Practices · Vol. 3, Issue 2, 2025 · pp. 29–55 Read article
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Inductive (Dynamic) Wireless Electric Vehicle Charging System
Abstract: Wireless charging of electric vehicles (EV) is a good example where an application of electric vehicle supply equipment (EVSE) can be automated and convenient so as to improve acceptance. Inductive, capacitive, and magnetic devices are the three types of wireless charging technologies. An experimental setup intended to assess the effectiveness of a wireless inductive charging system specifically used for EV battery charging is presented in the paper. This configuration shows …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 30–44 Read article
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Navigating the Antenna Frontier for Emerging IoT Technologies
Abstract: Internet of Things (IoT) is rapidly transitioning from niche applications to a pervasive, interconnected fabric of intelligent devices, demanding unprecedented levels of performance, reliability, and miniaturization from its constituent components. At the heart of this revolution lies the antenna, the crucial interface between the digital and physical realms. This paper delves into the intricate and evolving landscape of IoT antenna design, specifically addressing the unique challenges and opportunities presented by …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 2, 2025 · pp. 1–10 Read article
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Optimized Hardware Realization of AES for High-Throughput FPGA Platforms
Abstract: The Advanced Encryption Standard (AES) is the predominant symmetric-key cryptographic algorithm used for securing digital communication across embedded systems, IoT devices, cloud infrastructures, and defense networks. Although software-based AES implementations offer flexibility, they often fail to meet the high-speed, low-latency, and energy-efficient requirements of modern real-time applications. Reconfigurable hardware platforms such as Field-Programmable Gate Arrays (FPGAs) provide a powerful alternative by enabling architectural customization, intrinsic parallelism, and optimized hardware acceleration. …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 2, 2025 · pp. 11–22 Read article
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Spintronic Logic Circuits for Ultrafast Processing
Abstract: Spintronic logic has emerged as one of the most promising post-CMOS paradigms capable of addressing the speed, density, and energy challenges of deeply scaled silicon technologies. By relying on the intrinsic properties of electron spin and magnetization dynamics, spintronic devices—particularly Magnetic Tunnel Junctions (MTJs), Spin-Transfer Torque (STT), and Spin–Orbit Torque (SOT) structures—enable ultrafast, non-volatile data processing with significantly reduced energy consumption. Despite remarkable device-level advancements, circuit- level realization of high-speed, …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 2, 2025 · pp. 35–43 Read article
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Assessing the Robustness of Machine Learning Models for Wireless Intrusion Detection Under Adversarial Traffic Perturbations
Abstract: As the Internet of Things (IoT) devices and wireless communication networks continue to grow rapidly, protecting systems from cyber threats has become increasingly important. Machine learning–based intrusion detection systems (IDS) have shown strong potential in detecting abnormal and malicious network activities, yet their effectiveness and resilience when facing adversarial attacks are still not sufficiently explored. This research evaluates Machine Learning (ML) models–XGBoost, random forest, and multi-layer perceptron (MLP)—in detecting attacks …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 1, 2026 · pp. 29–34 Read article
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Combining Unstructured and Structured Clinical Data in a Hybrid Transformer Model to Enhance Cardiovascular Analytics and Clinical Decision- Making
Abstract: Since cardiovascular disease (CVD) continues to be a major global cause of morbidity and mortality, early and accurate risk prediction is essential for prompt intervention and individualized treatment. This study introduces a new hybrid transformer-based model that combines unstructured clinical narratives, structured data, and customized lifestyle characteristics. A comprehensive understanding of disease progression is made possible by the model's ability to capture contextual, temporal, and patient- specific insights through the …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 · pp. 30–37 Read article
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A Legal Analysis of Contract Negotiations in Professional Sports
Abstract: Contract negotiations are crucial aspect of professional sports, involving complex legal considerations and complex interactions between athletes, agents and team owners. This article provides a comprehensive legal analysis of contract negotiations in professional sports, examining the role of collective bargaining agreements, individual player contracts, and agent-player relationships. Through a critical examination of relevant statutes, case law and collective bargaining agreements, this article identifies key principles and trends shaping contract negotiations …
Published in Recent Trends in Sports · Vol. 2, Issue 2, 2025 · pp. 31–45 Read article
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A study of The impact of Antibiotic Pollution and The types of Environmental Pollution It causes
Abstract: Antibiotics are essential biological drugs for human health and are the cornerstone of treating infections caused by various bacteria and viruses. However, they also pose a significant risk if misused, as each antibiotic is designed for a specific type of bacteria. Sometimes, due to the evolution of bacteria, many antibiotics have become ineffective and resistant to contamination and infection. Therefore, they can have the opposite effect, polluting the environment instead …
Published in International Journal of Antibiotics · Vol. 3, Issue 1, 2026 · pp. 41–46 Read article
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A study on Antibiotic Resistance: An Analysis of Molecular Mechanisms and Therapeutic Implications
Abstract: Antibiotic resistance (AR) represents one of the most critical existential threats to global public health, rapidly eroding the efficacy of established antimicrobial therapies and portending a return to the pre-antibiotic era. This analysis explores the intricate molecular landscape defining this crisis, focusing specifically on the primary mechanisms of action (MoA) utilized by major antibiotic classes—including cell wall inhibitors, protein synthesis inhibitors, and nucleic acid synthesis inhibitors—and the corresponding, diverse mechanisms …
Published in International Journal of Antibiotics · Vol. 3, Issue 1, 2026 · pp. 9–21 Read article
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Drug Induced Immune Mediated Nephritis: Molecular Mechanism , Pathways and Clinical Implications
Abstract: Drug-induced immune-mediated nephritis (DI-IMN) has become a more widely known cause of acute kidney injury (AKI), with the potential for development to chronic kidney disease if not detected and treated promptly. T-cell hypersensitivity to pharmaceuticals, such as antibiotics, proton pump inhibitors, nonsteroidal anti-inflammatory drugs, and immunological drugs, are the major causes for it. Beyond clinical burden, DI-IMN reflectsintricate molecular interactions that sustain interstitial inflammation and tubular injury. These interactions include …
Published in International Journal of Toxins and Toxics · Vol. 3, Issue 1, 2026 · pp. 13–29 Read article
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Personalized Therapy Using Drug Delivery Devices
Abstract: The persistent challenge in modern medicine lies in inter-patient heterogeneity, rendering standardized drug dosing protocols suboptimal for many chronic conditions. Traditional pharmacokinetics fail to account for real-time biological fluctuations, leading to cycles of ineffective treatment or dose-limiting toxicity. This paper explores the critical intersection of advanced drug delivery devices (DDDs) and personalized medicine, positioning these technologies as the vital link translating genomic and biological data into tangible, patient- specific interventions. …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 53–62 Read article
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Clinical Medicine Done with Clinical Accuracy
Abstract: The advancement of clinical medicine has progressively underscored the significance of accuracy in diagnosis and therapy. This article examines the concept of "Clinical Medicine Administered with Clinical Precision," emphasising how innovations in diagnostics, data analytics, and personalised treatments are transforming the healthcare environment. Clinicians can provide therapy that is not only successful but also personalised to each patient's requirements by combining evidence-based practices with patient-specific factors including genetic profiles, comorbidities, …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 6–19 Read article
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Blockchain-Enabled Secure Wireless Communication IoT Networks
Abstract: Cloud-native environments with their distributed environments and transient workloads raise the intrinsic problem of traditional intrusion detection and response systems to unprecedented levels. Modern cloud platforms have rapid elasticity, microservice orientation, and dynamic scaling, which usually exceed the range of centralized security services, contributing to the problem of slower threat detection and a poor ability to contain the threat. The proliferation of the Internet of Things (IoT) gadgets across different …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 1, 2026 · pp. 10–14 Read article
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Activated Carbon Materials as Ideal Adsorbents for the Desulfurization of Fossil Fuels
Abstract: Removal of organosulfur compounds from diesel is of interest from scientific, social, economic, and environmental viewpoints. Production of clean fuel remains a primary goal of the petroleum refining industry. The reduction of sulfur content below stringent ppm levels in diesel fuels becomesincreasingly challenging due to the presence of sterically hindered sulfur compounds, such as 4,6- dialkyldibenzothiophenes, which are resistant to removal over conventional supported mixed sulfide hydrodesulfurization catalysts. Consequently, alternative …
Published in International Journal of Pollution: Prevention & Control · Vol. 4, Issue 1, 2026 · pp. 28–34 Read article
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Claiming the City: How India’s Urban Spaces Exclude Women and How to Fix Them, A Case Study of New Delhi
Abstract: This paper analyses the layered risks, vulnerabilities, and everyday negotiations faced by women in open public spaces in diverse sites across India, with New Delhi as a representative and highly stratified urban case. It examines how specific Urban design competences, planning attitudes, and governance mechanisms have in the past resulted in exclusionary and not safe environments for women. Based on crime reports, government statistics, academic literature, and field-based observations, the …
Published in International Journal of Urban Design and Development · Vol. 4, Issue 1, 2026 · pp. 25–41 Read article
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Intelligent Earth: AI As A Catalyst For Climate Action
Abstract: Artificial Intelligence (AI) is assuming an increasingly influential role in climate science, providing advanced tools capable of interpreting vast, complex, and multi-dimensional environmental datasets. Traditional climate modeling approaches, while grounded in physical principles, frequently struggle to deliver high-resolution, real-time, and region-specific forecasts because of heavy computational demands, incomplete observations, and uncertainties in representing small -- scale processes. Artificial intelligence (AI) techniques, especially machine learning and deep learning, provide strong substitutes …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 48–52 Read article