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1929 articles for “Mizaj Mo’tadil Tibbi” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Integrating Network Pharmacology And Molecular Docking To Investigate The Possibility Of Rutin Against Gout
Abstract: Objective: Gout is an arthritic condition resulting from the deposition of monosodium urate crystals in and around the joints. Rutin, a bioflavanoid or a plant pigment that is mainly found in vegetables and fruits.It is widely known for its anti-inflammatory and antioxidant activity.Hence this research paper proposes the use of an integrated approach of network pharmacology and molecular docking to investigate the potential of Rutin as a treatment option for …
Published in Research and Reviews : Journal of Computational Biology · Vol. 11, Issue 03, 2022 · pp. 14–27 Read article
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Tooth Supported Overdenture: Preventive Prosthodontic Treatment Modality––A Case Report
Abstract: This is a case report of a very young patient who has lost all her maxillary teeth except canines and partially edentulous in the lower arch. The main concern here was to preserve the existing residual alveolar ridge from the resorption process and to rehabilitate functionally and esthetically. Initially, vestibuloplasty was performed on the buccal sulcus to increase the vestibular depth. The maxillary canines were intentionally root canal treated, followed …
Published in Research and Reviews: A Journal of Dentistry · Vol. 10, Issue 3, 2019 · pp. 20–26 Read article
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Factors associated with Health care utilization and morbidity pattern among adults in later life: Community based study
Abstract: Advanced health care, demographic transitions, improved longevity has resulted into fast-growing ageing population worldwide. Objective: The present study aims to identify the gender differences and factors associated with health care utilization and morbidity experience among adults in later life. Materials and Methods: The community-based cross-sectional study assessed the health care utilization and pattern of chronic diseases experienced by adults in later life. Adults (≥60 years), willing to participate and meeting …
Published in Research and Reviews: A Journal of Health Professions · Vol. 9, Issue 1, 2019 · pp. 6–12 Read article
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Genetic Testing: An Intervention of Biotechnology for Healthy Motherhood
Abstract: The journey from a woman to a mother had been one of the sweetest of its kind. Having a child with a chronic illness has a major impact on the family as a whole, especially mothers. Mothers of a child with chronic disease experience difficulties in dealing with feelings which may subsequently lead to a dysfunctional family. Usually parenting stress is more on mothers caused by having their more affectionate …
Published in Research and Reviews: A Journal of Health Professions · Vol. 8, Issue 3, 2018 · pp. 87s–90s Read article
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Determinants of Teenage Pregnancy and Motherhood in Ethiopia: Analysis of the Ethiopian Demographic Health Survey 2016
Abstract: Background: Teenage pregnancy, a global public health problem, especially in developing countries, refers to a pregnancy when teenage girls, aged 13–19 and considered not to have reached legal adulthood, become pregnant and is said to have wide range of subsequent adverse health, economic and social outcomes. In Ethiopia, where marriage is a universal occurrence, the Federal Democratic Republic of Ethiopia ministry of health is working to alleviate the problem, though …
Published in Research and Reviews: A Journal of Medicine · Vol. 8, Issue 3, 2018 · pp. 47–53 Read article
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A Review of Psychoendocrine Morbidity: Co-occurring Diabetes Type-II (DIAII), Bipolar II Disorder (BPII), and Obsessive-Compulsive Disorder (OCD)
Abstract: The acute phase of (Bipolar II Disorder) BPII encompasses a psychosis of dramatic mood changes and elevated energy levels often accompanied by co-occurring psychiatric and systemic disorders. The co-occurring disorders (i.e., BPII, DIAII, and OCD) are accentuated, most often by the metabolic imbalances of (Diabetes Type-II) DIAII and sometimes by the psychiatric condition of (Obsessive-Compulsive Disorder) OCD. Increased morbidity and mortality of the co-occurring disorders dominates the chronic course of …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 6, Issue 2, 2016 · pp. 19–23 Read article
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A Scientific Review on Phyto-pharmacological Properties of Moringa olifera Lam
Abstract: Moringa oleifera Lam. (Moringaceae) has been used since times to treat various health ailments. Different parts of plant have been used by traditional physicians. However, the dried entire fruit is more commonly used as Sehjana in Unani Medicine. Sehjana is a famous Indian drug used in a number of pathological conditions. Various parts of this plant act as cardiac and circulatory stimulants, possess anti-tumour, antipyretic, antiepileptic, anti-inflammatory, antiulcer, antispasmodic, diuretic, …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 7, Issue 3, 2020 · pp. 1–11 Read article
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Optimizing Multi-Cloud Infrastructure: Advanced Bash-Based Automation for Automated Security Patching and Health Monitoring in Hybrid Linux Environments
Abstract: The proliferation of multi-cloud and hybrid Linux environments has introduced significant operational complexity, particularly in maintaining security compliance and system reliability across diverse infrastructure silos. Traditional patch management approaches, relying on manual interventions or disparate vendor-specific tools, suffer from latency, configuration drift, and limited visibility. This article presents a novel, lightweight automation framework constructed entirely in advanced Bash scripting to address automated security patching and real-time health monitoring across hybrid …
Published in Journal of Advances in Shell Programming · Vol. 13, Issue 1, 2026 · pp. 16–28 Read article
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Digital Twin-Driven Structural Health Monitoring and Energy Management of IoT-Enabled Energy-Storing Polymer Composites Using Explainable Machine Learning
Abstract: Energy storing polymer composites are widely utilized in intelligent structural systems, because of their mechanical and electrochemical properties. But, under varying thermo-mechanical and environmental conditions, it is important to have accurate degradation monitoring for real-time industrial process is challenging. In this work, an explainable machine-learning framework for structural health monitoring and adaptive energy management of polymer composites with energy storage capacity is proposed in an IoT environment with the help …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Crystallization Kinetics and Morphological Shifts in Polylactic Acid/Nanocellulose Blends Under Isothermal Melt Conditions
Abstract: The great potential of polylactic acid as a sustainable biopolymer for packaging, biomedical materials, and additive manufacturing, polylactic acid's slow crystallization kinetics during melt processing causes it to be poorly crystallized, thermally weak, and mechanically underperforming. Crystallization models of PLA/nanocellulose blends have been limited to isothermal melt crystallization kinetics and the resulting morphological changes. The phenomena discussed in this work are systematically explored by melt compounding of polylactic acid with …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Modern Catalytic Systems: Mechanisms, Materials Engineering, and Sustainable Applications
Abstract: Catalysis is a fundamental pillar of modern chemical science and industrial manufacturing, enabling efficient production of fuels, chemicals, pharmaceuticals, polymers, and environmentally important products through the acceleration of chemical reactions and reduction of activation energy barriers. This review provides a comprehensive overview of contemporary catalytic systems, with emphasis on the relationship between catalyst structure, reaction mechanisms, catalytic performance, and long-term stability. The discussion begins with the classification of homogeneous, heterogeneous, …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 2, 2026 · pp. 01–09 Read article
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Graph Neural Networks for Molecular Scale Property Prediction and Inverse Design of Thermoset Polymer Nanocomposites: A Computational Framework
Abstract: Thermoset polymer nanocomposites exhibit properties that are highly sensitive to molecular scale formulation decisions, yet the vast design space remains largely unexplored because of the high cost of experimental characterisation and fully atomistic simulation. This paper presents TNC GNN, a dual mode graph neural network framework developed for the computational design of thermoset nanocomposite formulations. The forward module employs an attention augmented Message Passing Neural Network with 3D geometric encoding …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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A Study to Assess the Effectiveness of an Information Education Communication Module Regarding Health Hazards of Junk Food Among Late Adolescent at Selected Villages
Abstract: Junk food refers to ready-to-eat foods that are prepared and served quickly, including a wide range of fast-food products. In recent years, the popularity and consumption of junk food have risen markedly in India, particularly among adolescents and young adults, who constitute the largest consumer group. This growing preference has made junk food a regular component of the dietary patterns of many adolescents in developing nations. Frequent consumption of these …
Published in Journal of Nursing Science & Practice · Vol. 16, Issue 2, 2026 · pp. 19–25 Read article
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Traffic Density Estimation Using Image Frames in Python
Abstract: Traffic congestion is a critical challenge in modern urban environments, leading to significant delays, environmental pollution, and increased accident rates. With the rapid growth of vehicle populations in metropolitan areas worldwide, the need for intelligent and automated traffic monitoring systems has become increasingly urgent. Traditional monitoring approaches, such as inductive loop detectors and manual surveillance, are limited in scalability, deployment cost, and adaptability to dynamic traffic scenarios. This paper presents …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 38–45 Read article
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Reward-Aligned Reinforcement Learning from Human Feedback for Emotion-Sensitive Large Language Model Therapists: Balancing Empathetic Engagement, Boundary Safety, and Clinical Accountability
Abstract: The deployment of large language models (LLMs) in mental health therapy contexts introduces a critical alignment challenge: these systems must simultaneously cultivate genuine empathic rapport, observe clinically grounded safety boundaries, and remain auditable under institutional accountability frameworks. Existing reinforcement learning from human feedback (RLHF) pipelines optimize for a scalar reward signal that is demonstrably insufficient for the multi-objective, temporally extended nature of therapeutic conversation. This paper presents RA-RLHF-T (Reward-Aligned RLHF …
Published in International Journal of Tropical Medicines · Vol. 3, Issue 2, 2026 Read article
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Text-to-SQL Systems: A Comprehensive Study of Evolution, Architectural Advancements, Challenges, and the Role of Large Language Models in Intelligent Query Generation
Abstract: Interacting with relational databases traditionally requires knowledge of Structured Query Language (SQL), which creates a significant barrier for users who do not have technical expertise. To address this challenge, Text-to-SQL systems have emerged as an important area of research, enabling users to express their information needs in natural language while automatically generating executable SQL queries. These systems aim to make database access more intuitive, efficient, and accessible across a wide …
Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 2, 2026 · pp. 10–19 Read article
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A Review of Various Deep Learning Models for Classification of BrainTumor
Abstract: Brain Tumor is most challenging and life threading decease now these days. Timely accurately detection of brain tumor is play important role for patient health improvement and it increase life survival rate. Traditional of brain tumor detection relay heavily on manual interpretation of medicalimage, it is very time consuming and chance to human error in detection of brain tumor. Now in recent advancement of Artificial intelligence (AI), Machine learning (ML) …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 Read article
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Test Effort Estimation Based Upon Neural Fuzzy Model
Abstract: AbstractEstimating test development effort is an important task in the management of large software projects. The task is challenging and it has been receiving the attentions of researchers ever since software was developed for commercial purpose. A number of estimation models exist for effort prediction. However, there is a need for neural model to obtain more accurate estimations. The primary purpose of this study is to propose a precise method …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 1, 2019 · pp. 76–85 Read article
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Modeling Campus VLAN using OPNET Simulation
Abstract: Virtual LANs have long been used within campus networks to create logical workgroups, independent of physical location or LAN topology. It is important to analyze VLAN capabilities, found in both wired and wireless devices, to tag and compartmentalize Wi-Fi traffic, supporting institution’s security and traffic management policies. A campus VLAN is modeled using OPNET modeler and traffic over VLAN is analyzed. Differences in throughput and network delay are compared over …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 1, Issue 1, 2014 · pp. 1–8 Read article
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Performance Analysis of Mobile WiMAX Networks on Various Routing Protocols Using Strict Priority and Weighted Round Robin Scheduling Algorithm on CBR Traffic
Abstract: MobileWiMAX (Worldwide Interoperability Microwave Access) is a wireless system based on the IEEE 802.16e standard and it has emerged as the strongest contender for broadband wireless technology with promises to offer guaranteed Quality of Service (QoS). It offers support high mobility in WiMAX Networks. This paper presents a comparative performance analysis of Mobile WiMAX Networks AODV, DSR and OLSR routing protocols using Strict Priority and Weighted Round Robin Scheduling Algorithm …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 1, Issue 3, 2014 · pp. 13–26 Read article