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769 articles for “Record”
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Clinical Validation of Unani Pharmacopoeial Formulation Majoon Suparipak in Sayalān Al-Rahim (Leucorrhoea)
Abstract: Leucorrhoea is a broad term commonly used for a condition where woman suffer from uterine, cervical or vaginal discharge other than blood due to genital tract infection or alteration in genital physiology and is highly prevalent (31–70%). In Unani medical literature it is described as Sayalān al-Rahim. According to Avicenna, uterus contains excessive waste products and hence prone to infection which leads to weakening of digestive faculty of uterine vessels …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 8, Issue 2, 2021 · pp. 28–35 Read article
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A Clinical Study on Itrifal Shahatra and Sharbat Unnab to Evaluate the Mechanisms of Action and Unani Principles in Buthūr (Acne)
Abstract: The current study assesses the possible mechanisms of action of Itrifal shahatra and sharbat unnab in Buthūr (Acne) with the support of Unani principles and evidence of the trial. The skin eruptions like macules, papules and pastules are described in the Unani classical literature as Buthūr. The main cause of Buthūr is khilt e Raddi (Morbid Humour) due to derangement of Akhlat (body humor). Musaffi-e-khoon (Blood purifier), Muhallil-e-auram (anti-inflammatory), Dāfi‘-i-Ta‘affun …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 9, Issue 3, 2022 · pp. 9–16 Read article
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Integrated Approach of Unani Medicine in Geriatric Care
Abstract: Aging is a process of physical, psychological and social changes in multidimensional aspects. The percentage of elderly, in the world population is expected to increase rapidly from 9.5% in 1995 to 20.7% in 2050 and 30.5% in 2150. In India, the population of older people has risen from 4.9% in 1901 to 5.5% in 1951, 6.5% in 1991, 7.7% in 2001, and 8.3% in 2011 and will be 12% in …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 2, Issue 1, 2015 · pp. 4–9 Read article
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Antenatal Care (Tadabeer-E-Haamla) in Unani Medicine
Abstract: Systematic care of women during pregnancy is called antenatal care. Good care during pregnancy is important for the health of the mother and the development of the unborn baby. Ideally, the care should begin soon after conception and continue throughout pregnancy. There are potential benefits from some of the elements of antenatal care, and these benefits may be most significant in developing countries where morbidity and mortality levels among reproductive-age …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 2, Issue 3, 2015 · pp. 1–5 Read article
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Prevalence of Different Risk Factors in Patients of Tashannuji Usre Tams (Spasmodic Dysmenorrhea)
Abstract: Tashannuji Usre Tams (spasmodic dysmenorrhea), which means painful menstruation, is one of the major gynecological problems. It is a single commonest cause of the female absenteeism from school, college and work places. The pain is spasmodic and occurs in lower abdomen, low back or in the thighs. This study was done to observe the prevalence of risk factors of spasmodic dysmenorrhea. The study consisted of 180 unmarried girls between 12 …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 1, Issue 2, 2014 · pp. 36–43 Read article
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Modern Electronics Wearable Gadgets for Health Monitoring
Abstract: AbstractIOT is being used to interconnect the accessible medical assets and achieved smart, consistent, and useful healthcare service to the citizens. In this paper, IoT architecture adapted for healthcare applications which collects the data and relays it to the cloud where it is processed and analyzed. User will get the feedback that produced by data analysis. Applications are proved by prototype of the proposed architecture. Patients are monitored by the …
Published in Recent Trends in Sensor Research & Technology · Vol. 6, Issue 2, 2019 · pp. 11–16 Read article
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Hakim Ismail Jurjani (1042–1137 AD): Life, Works, and Medical Legacy
Abstract: Hakim Ismail Jurjani, also known as Seyyed Isma’il Jorjani, was among the most distinguished physicians and scholars of medieval Persian medicine whose contributions significantly influenced the development of Greco-Arab and Unani medical traditions. His monumental encyclopedia, Zakhīra Khwārazmshāhī (Treasure of the Khwarazm Shah), is regarded as one of the greatest medical compilations of the Islamic Golden Age and represents a landmark in the evolution of Persian scientific literature. Unlike earlier …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 13, Issue 2, 2026 · pp. 31–36 Read article
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Real-Time Crack Detection in Polymer Composites Using Embedded IoT Sensor Networks
Abstract: This study developed an embedded Internet of Things sensor network for real-time crack detection, localization, and severity assessment in glass–fiber-reinforced polymer composites. Four polyvinylidene fluoride sensors were embedded near the laminate mid-plane and connected to synchronized wireless acquisition nodes. Controlled low-velocity impacts generated graded damage states. Ultrasonic C-scan and optical microscopy provided independent labels. A compact multi-channel convolutional model processed normalized waveforms, spectral entropy, signal energy, and arrival-time differences at …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 866–899 Read article
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Generative AI-Driven Design Optimization of Lightweight Polymer Composites for Electric Vehicles
Abstract: Lightweight polymer composites are increasingly important for electric vehicles, where mass reduction must be achieved without compromising structural performance, thermal stability, manufacturability, or material reliability. This study develops a generative AI-driven inverse-design framework for identifying experimentally credible lightweight polymer-composite configurations under coupled EV-oriented constraints. Public experimental polymer-composite datasets were integrated through leakage-controlled preprocessing and group-aware validation. A multi-task neural surrogate predicted mechanical response, while a conditional variational autoencoder explored feasible …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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BLOCKCHAIN-BASED DIGITAL ASSETS MANAGEMENT (CASE OF DECENTRALIZED AUTONOMOUS ORGANIZATIONS)
Abstract: The advent of Web 3.0 and the rise of decentralized applications (DApps) are reshaping the very fabric of the Internet. Gone are the days of centralized control, as Web 3.0 empowers users with greater privacy, security, and ownership over their data. Web 3.0 represents a paradigm shift from Web 2.0, which primarily relied on centralized platforms and intermediaries. The Blockchain technology is really important for the Web 3.0. It makes …
Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 2, 2026 Read article
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MedVerse AI: An Intelligent Digital Health Platform for Patient-Centric Healthcare and Proactive Disease Prediction
Abstract: The rapid digitization of healthcare has led to an unprecedented growth in medical data, ranging from diagnostic images and laboratory reports to electronic health records and clinical notes. Despite this abundance, patients and healthcare providers often struggle to extract meaningful insights due to data complexity and fragmentation. MedVerse AI proposes an intelligent digital health platform that unifies medical image analysis, clinical report interpretation, real-time interaction, and predictive disease analytics into …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 2, 2026 · pp. 1–7 Read article
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Transforming Healthcare Through Big Data: Applications, Challenges, and Future Perspectives
Abstract: Healthcare institutions produce substantial amounts of information through electronic health records, laboratory systems, medical imaging technologies, patient monitoring devices, and various digital healthcare platforms. Managing and interpreting these continuously growing datasets through conventional approaches can be difficult and time-consuming. Big Data technologies offer advanced methods for storing, processing, and analyzing healthcare information efficiently, enabling healthcare professionals to obtain valuable insights for clinical and administrative purposes. This review explores the growing …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 2, 2026 · pp. 1–9 Read article
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Toxicology 4.0: Integrating Artificial Intelligence, Big Data, Health Informatics, and Precision Analytics for Predictive Toxicity Assessment, Real-Time Toxicovigilance, and Personalized Patient Safety
Abstract: Background: Toxicology is undergoing a major transformation, increasingly described as Toxicology 4.0, driven by the integration of artificial intelligence (AI), big data analytics, health informatics, and precision analytics. Conventional toxicity testing is limited by high costs, lengthy timelines, and challenges in translating animal and low-throughput in vitro findings to humans. Aim and Objectives: To comprehensively evaluate the emerging role of Toxicology 4.0 in predictive toxicity assessment, real-time toxicovigilance, and personalized …
Published in Research and Reviews: A Journal of Toxicology · Vol. 16, Issue 2, 2026 Read article
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Transforming Cancer Care Through AI-Driven Machine Learning: Real-Time Patient Monitoring and Personalized Intervention Strategies
Abstract: Modern healthcare systems are being improved by artificial intelligence (AI) and machine learning (ML), particularly in the treatment of cancer. An AI-driven machine learning system for monitoring cancer patients in real time and offering tailored therapeutic methods is presented in this research. In order to track health issues in real time, the suggested system gathers ongoing health data from wearable sensors and integrates it with patient medical records. This data …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 2, 2026 · pp. 31–38 Read article
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Data-Driven Machine Learning Approach for Vehicle Fuel Economy Prediction and Performance Monitoring Using Real-World OBD Data
Abstract: Modern passenger vehicles generate large volumes of operational data through On-Board Diagnostics (OBD) systems, enabling continuous observation of vehicle performance under real-world driving conditions. However, much of the existing research mainly analyses previously recorded data and does not provide predictive mechanisms for monitoring vehicle performance under dynamically varying operating conditions. This study presents an AI and machine learning–based method for predicting and monitoring real-world vehicle performance and fuel economy using …
Published in Trends in Machine design · Vol. 13, Issue 2, 2026 · pp. 47–66 Read article
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Monitoring the Structural Health of RC Beam Lap Splices using Wave Propagation and PZT Sensors
Abstract: This paper describes the use of piezoelectric sensors in a wave propagation-based Structural Health Monitoring (SHM) method to identify lap splices in steel reinforcing bars. Straight and lapped steel bars with lap lengths of 10° and 20° were used for the experiments. Lead Zirconate Titanate (PZT) transducers were employed, one of which served as an actuator to produce stress waves and the other as a sensor to record the signals …
Published in Journal of Experimental & Applied Mechanics · Vol. 17, Issue 2, 2026 · pp. 65–70 Read article
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Process Mapping and Bottleneck Analysis of the Wellness Provider Deployment Cycle
Abstract: This Study focuses on understanding how a wellness service provider company currently manages the process of assigning wellness professionals—such as fitness trainers, doctors, and mental health experts—to corporate clients, and where delays tend to occur within that process. As the organization follows an aggregator-based service model, it works with a wide network of freelance professionals spread across multiple cities. While this approach allows flexibility and rapid expansion, it also makes …
Published in Journal of Production Research & Management · Vol. 16, Issue 2, 2026 · pp. 26–32 Read article
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Bioinformatics and Medicine: Bringing Data to the Bedside
Abstract: From being an empirical and experience-based practice, modern medicine has transformed into a codified and research-based discipline, known as Evidence-Based Medicine (EBM). Though EBM has greatly enhanced the quality of medical practice through population-scale clinical trials, it still has limitations in managing biologically diverse patient populations, especially when dealing with clinical outliers who respond in an unusual way to standard treatments. With the rapid progress in genomics, proteomics, and high-throughput …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 · pp. 41–46 Read article
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Machine Learning-Based Structure–Property Quantification of Advanced Polymer Composites
Abstract: Advanced polymer composites are widely used in high-performance engineering due to their superior mechanical and multifunctional properties. Accurate structure–property quantification is essential for efficient material design and reducing experimental costs. Existing Machine Learning (ML) approaches often exhibit limited predictive generalization due to inadequate feature discrimination and suboptimal hyperparameter tuning. To address these limitations, the proposed method enhances the ability to capture the complex nonlinear interactions among composite structural descriptors. The …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Development of Multilayer Metallic Coatings with Graded Interfaces for Enhanced Wear and Fatigue Resistance in Aerospace Components
Abstract: This study presents a comprehensive investigation into the development and characterization of multilayer metallic coating systems with compositionally graded interfaces, specifically engineered to enhance wear and fatigue resistance in aerospace structural and rotating components. Four coating architectures were systematically designed: (i) CrN/TiAlN bilayer, (ii) TiN/TiAlN/TiAlSiN gradient trilayer, (iii) CrAlN/AlCrN nanolaminate, and (iv) a novel five-layer CrN–TiN–TiAlN–AlCrN–TiAlSiN functionally graded system (FGS). Coatings were deposited via high-power impulse magnetron sputtering (HiPIMS) and …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 13, Issue 2, 2026 · pp. 50–67 Read article