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24 articles for “self-diagnostics”
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System Integrity Analysis on the PMS Designed with the ALS Platform
Abstract: FPGA technology based ALS platform was designed by WEC as the next generation 1E class platform for protection and monitoring system development for nuclear power plants and had been approved by NRC in 2013. Based on the features of the platform and typical PMS function requirements, a new overall architecture based on ALS for PMS is designed and the consistency with system integrity requirements in SRP is analyzed. The evaluation …
Published in Journal of Nuclear Engineering & Technology · Vol. 5, Issue 2, 2015 · pp. 1–11 Read article
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Human Deep Skin Surface Vibration Frequency Detection from CT and DT Signals Using Genetic Algorithms
Abstract: To diagnose respiratory problems early on, a contactless, non-invasive, real-time assessment of human vibration is a crucial prerequisite. Optoelectronic plethysmography (OEP) and the forced oscillation technique (FOT), are two widely utilized methodologies, depending on variations in each patient’s local chest impedance. Calibration of the devices before each measurement is hence the primary problem of these approaches. This report presents a simulation-based analysis to assess the effectiveness of the CT and …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 1, 2024 · pp. 9–16 Read article
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A Study and Report on Impact of Clinical Pharmacy Over KAP Assessment Regarding Self Screening of Breast and Gynecological Cancers Among Women–A Community-Based Study Aiming Towards Healthy Women in India
Abstract: The present study involves a deeper understanding and Knowledge Attitude and Practice (KAP) study of Indian women with regards to their gynecological health, with gynecological cancer awareness and prevention of breast, cervical and endometrial cancer being the main focus. This KAP survey was a quantitative method that provides access to quantitative and qualitative information. KAP surveys reveal misconceptions or misunderstandings that may represent obstacles to the activities that we would …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 8, Issue 2, 2021 · pp. 1–22 Read article
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ML-Enhanced Self-Healing Fiber-Reinforced Polymer Composites with Embedded IoT Sensors for Damage Prediction
Abstract: Fiber-reinforced polymer (FRP) composites are widely used in aerospace and structural systems; nevertheless, the potential for microcracking and fatigue-induced performance degradation remains an obstacle with respect to improved service life. Traditional self-healing methods, while performing well on a chemical level, often lack real-time diagnostic awareness and adaptive control. To circumvent this, we developed a machine-learning augmented self-healing FRP composite, in which a DCPD–Grubbs catalytic matrix was combined with IoT sensor …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 188–208 Read article
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A Review on Quantum Dots and Their Bioimaging Applications
Abstract: Quantum dots are nanoscale semiconductor crystals engineered to emit highly intense, photo-stable luminescence with quantum yields reaching 90%. Structurally, they are synthesized as single-substance core types, hetero-structured core-shell architectures for enhanced stability, or blended alloys. They are further categorized by synthesis and functional traits into colloidal, magnetic, and highly fluorescent varieties, alongside specialized silicon and eco-friendly carbon-based variants derived from organic waste. Due to their exceptional optoelectronic properties, they are …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 16, Issue 2, 2026 · pp. 41–60 Read article
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Managing Chronic Diseases: Diabetes Mellitus
Abstract: Diabetes mellitus is one of the most prevalent chronic non-communicable diseases worldwide and represents a major public health challenge due to its long-term complications, increasing prevalence, and economic burden on individuals and healthcare systems. It is distinguished by chronic hyperglycemia brought on by deficiencies in either insulin action or secretion, or both. Diabetes causes increasing harm to several organ systems, including the kidneys, eyes, neurological system, and cardiovascular system, if …
Published in International Journal of Antibiotics · Vol. 3, Issue 2, 2026 Read article
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Clinical Study for Evaluation of Comprehensive Ayurvedic Management in Nicotine Use Disorder
Abstract: Substance use disorder (SUD), is a condition in which the use of one or more substances leads to a clinically significant impairment or distress. 'Substance' in this clinical study is limited to nicotine-based substances (Nicotine Use Disorder). This study evaluates the effect of Ayurvedic management on Nicotine Use Disorder. 36 Patients were registered in this study having signs and symptoms of nicotine use disorder and were treated with Ayurvedic management …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 7, Issue 2, 2020 · pp. 14–22 Read article
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Development and Characterization of Selfnanoemulsifying Drug Delivery System
Abstract: AbstractNanotechnology has presented a novel perception of human knowledge and led to innovation in the field of biological sciences including diagnostics, food, drug delivery, biomaterials for implants or prostheses, and the production of biomimetics appropriate for applications in the field of medicine. With their pinpoint accuracy and minuscule size, nanomaterials is rising in importance. Nanoscale formulations have a size range of 100–10,000 times lesser than that of the cell of …
Published in Trends in Drug Delivery · Vol. 9, Issue 3, 2022 · pp. 1–18 Read article
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Sensors-Based Electric Machine Design for Industry
Abstract: The integration of advanced sensors is fundamentally changing the economics and reliability of electric machines. It moves design focus from minimizing material cost and adhering to conservative standards toward maximizing operational availability and energy efficiency. In the industry of tomorrow, the electric motor will not be a passive collection of coils and steel, but a self-diagnosing, self-optimizing, and perhaps even self-healing asset—a sentient motor—driven by its highly refined sixth sense, …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 4, Issue 1, 2026 · pp. 1–10 Read article
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Autonomous Calibration of Medical Devices Using Synthetic Biosignals and Adaptive Learning
Abstract: The accuracy and reliability of modern biomedical diagnostic devices are critically dependent on effective calibration mechanisms capable of handling dynamic physiological and environmental variations. Conventional calibration approaches, which rely on static reference signals and manual adjustments, are inadequate in addressing challenges such as sensor drift, noise interference, motion artifacts, and long-term performance degradation. To overcome these limitations, this research proposes an innovative AI-driven adaptive biosignal simulation and calibration architecture for …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 2, 2026 Read article
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Correlation Between Low Back Pain and Foot Posture Deviations in School Teachers of Navsari
Abstract: BACKGROUND Low back pain is the condition that significantly impacts daily life and professional activities, particularly in occupation requires prolonged standing or movements, such as teaching. The aim of the study is to find the correlation between low back pain and foot posture deviations in school teaches of Navsari. The Quebec Back Pain Disability Scale (QBPDS) is a 20-item self- administered instrument designed to assess the level of functional disability …
Published in Research and Reviews: A Journal of Health Professions · Vol. 16, Issue 2, 2026 Read article
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Fault Identification by Wavelet Feature Extraction in Self Aligning Rolling Element Bearings Using Neural Networks
Abstract: This paper aims to present a comparison of different individual defects in self aligning ball bearings by the use of statistical tools and machine learning techniques like artificial neural network (ANN). The results generated are analyzed, and more realistic conformance to the theoretical observations has been drawn. Vibration analysis of a fault affected component gives a good understanding of machine diagnostics. Inner race and outer race defects have been studied …
Published in Trends in Mechanical Engineering & Technology · Vol. 7, Issue 2, 2017 · pp. 11–17 Read article
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Microneedles: A Modern Breakthrough in Drug Delivery Systems
Abstract: Microneedles (MNs) represent a revolutionary and transformative advancement in the realm of transdermal drug delivery systems, which are designed to facilitate the administration of therapeutic agents through the skin. These exceptionally small, micron-scale needles penetrate the stratum corneum, thereby enabling the direct delivery of pharmacological agents into the underlying dermis or the upper epidermis, consequently enhancing bioavailability while simultaneously circumventing the detrimental effects of first-pass metabolism and the degradation that …
Published in Trends in Drug Delivery · Vol. 12, Issue 3, 2025 · pp. 01–07 Read article
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Technology-Based Interventions for Diabetes Self-Management: A Review of Mobile Apps, wearable Devices, and Telemedicine Solution
Abstract: This comprehensive review delves into the transformative impact of technological innovations on diabetes management. From historical insights to cutting-edge developments, we explore the evolution of diabetes care through wireless sensors, smart devices, AI-driven solutions, and telemedicine. Investigating sensor-augmented pump systems, biosensor-based glucose monitoring, smart pens, and telemedicine solutions, we uncover their efficacy in enhancing patient self-management and healthcare accessibility. Furthermore, the convergence of machine learning, data mining, and artificial intelligence …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 13, Issue 2, 2023 · pp. 25–35 Read article
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Advances in Deep Learning for Medical Image Analysis in the Era of Precision Medicine
Abstract: Medical imaging is fundamental to modern healthcare but analyzing the high-dimensional data requires advanced techniques. Manual image interpretation is time-consuming, subjective and limited in detecting complex patterns and minute details. Recent breakthroughs in Deep Learning offer transformative advances for unlocking clinically relevant information from medical images. This paper provides a comprehensive 6000+ word review of the current state-of-the-art Deep Learning techniques for medical image analysis including detailed coverage of key …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 2, 2023 · pp. 10–23 Read article
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IoT and Smart Sensors for Structural Health Monitoring: Trends, Challenges, and Future Directions
Abstract: Structural Health Monitoring (SHM) plays a critical role in ensuring the safety, resilience, and sustainability of civil infrastructure systems. In recent years, the convergence of Internet of Things (IoT) technologies and smart sensor systems has revolutionized the field of SHM. This integration enables continuous, real- time monitoring, facilitates predictive maintenance, and reduces the costs associated with structural inspections. IoT-based SHM frameworks leverage wireless sensor networks, cloud computing platforms, and intelligent …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 3, 2025 · pp. 1–6 Read article
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A Study to Evaluate Knowledge and Attitude Related To Ethical and Legal Aspect Among Staff Nurses Working at Tertiary Hospital, Amritsar
Abstract: Pregnant women are more prone to assault and exploitation as a vulnerable category. Adverse occurrences are more likely when invasive and non-invasive therapeutic and diagnostic tests, as well as modern technology, are used. Nurses' lack of understanding has been linked to ethical and legal concerns in the health care industry in several studies. A descriptive design was used in the study. A total of 100 staff nurses were selected through …
Published in Research and Reviews: A Journal of Health Professions · Vol. 12, Issue 2, 2022 · pp. 24–34 Read article
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Path Lab-AI: An Autonomous Framework for Error-Free Histopathology Slide Interpretation
Abstract: Path Lab-AI represents a fully autonomous platform for the analysis of histopathology slides with circumscribed structures, designed to obtain highly accurate results using diagnostic methods and avoiding the usual limitations of standard microscopy-based pathology. Leveraging recent deep learning and whole slide image (WSI) analysis innovations, our system takes advantage of automated WSI ingestion along with pre-processing steps to account for staining variability, remove artifacts, and localize tissue from background. Such …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 1, 2026 · pp. 19–30 Read article
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Impact of Training Program on Recent Innovations in Oncology Among Nursing Professionals
Abstract: Introduction: In recent years, there have been significant advancements and trends in the field of oncology treatment in India. This study aimed to evaluate impact of training program on knowledge regarding recent innovations in oncology among nursing professionals. After ethical approval, a pre-experimental, one group pretest- post-test design was used to conduct this research at anursing college of Punjab. Methods: The sample was selected using the total enumerative sampling technique. …
Published in International Journal of Oncological Nursing and Practices · Vol. 3, Issue 1, 2025 · pp. 9–14 Read article
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A Comprehensive Review on Piezoelectric Composites for Energy Harvesting and Sensing
Abstract: The capacity of piezoelectric composites to transform mechanical energy into electrical energy and vice versa has drawn a lot of interest recently. This property makes them very appealing for use in energy harvesting and sensing applications. These materials combine the high piezoelectric performance of ceramics with the mechanical flexibility and processability of polymers or other matrices, enabling a wide range of practical uses in flexible electronics, wearable systems, and embedded …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 3, Issue 1, 2025 · pp. 19–24 Read article