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538 articles for “depth”
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Nutritional Status of Adults with Mild Cognitive Impairment (MCI)
Abstract: Early identification of cognitive failure and its association with nutritional status might aid in the planning of prevention strategies. An attempt was made to identify the incidence of cognitive failure in adults and its association with nutritional status. 120 participants (20–60 years) were screened for cognitive ability using mini-mental state examination (MMSE) tool. Nutritional status of individuals with mild cognitive impairment (MCI) was assessed through body composition and dietary nutrient …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 3, Issue 1, 2013 · pp. 1–8 Read article
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To know the Heart-brain Axis Response in COVID-19 Patients: A Expressive Perspective for Curative Progression
Abstract: An in-depth description of cardiovascular communication in critically ill patients with severe respiratory disease attracts significant interest during the course of CoronaVIrus Disease 19 (COVID-19) during ICU stay or after hospital discharge. Emerging research has provided new insights into the pathogenic role of heart-brain axis (HBA) eradication, information flow from both sides, which has led to robust multiorganic disease (MODS) in patients with a confirmed disease with acute acute respiratory …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 11, Issue 2, 2021 · pp. 36–54 Read article
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A Literature Review on Future Perspective of Metformin use for Chemotherapy
Abstract: The emergence of metformin as a potential anticancer and cancer-preventive therapeutic tool is exciting. More recently, metformin has been associated with decreased cancer incidence and mortality in diabetic patients and the insulin-lowering effects of metformin are integral to its anticancer properties. With the added benefits of being readily available, economical, and easily tolerated with good safety profile, it can be effortlessly transitioned from bench to bedside for cancer therapy. So, …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 9, Issue 3, 2020 · pp. 1–9 Read article
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The Inappropriate Application of Medication in the Context of Surgical Procedures: A Review
Abstract: The initiation of substance abuse frequently commences during adolescence, a critical developmental period. Extensive research has consistently revealed a pronounced connection between drug use and the consumption of cigarettes and alcohol. Understanding the prevalence of substance abuse, with a specific focus on the use of cigarettes and alcohol, is paramount in formulating effective strategies for prevention and control of drug consumption. Therefore, embarking on an initial exploration of the prevalence …
Published in Research and Reviews : Journal of Surgery · Vol. 12, Issue 3, 2023 · pp. 27–32 Read article
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Experimental Study of Flexural Behavior of High Strength Concrete
Abstract: Flexural test results generated on nine reinforced concrete beams to evaluate the implications of using high-strength concrete (HSC) are reported. The stress block parameters on the current IS456-2000 code are limited to concrete strength up to 55 MPa. This paper looks at the applicability of IS456-2000 stress block parameters for HSC beyond the scope of code IS456-2000. Particular emphasis has been given to the issues of maximum compressive strain, ultimate …
Published in Journal of Structural Engineering and Management · Vol. 6, Issue 2, 2019 · pp. 19–23 Read article
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Evaluation of Sustainable Waste Materials in Asphalt Paving Mixtures
Abstract: Generating recycled tires, disposable plastic bottles and waste engine oil are important problem in Iraq and there is need to solve it . The waste materials can be considered as an alternative materials in road pavement technology and the using of these materials would be a solution to converse the environment from pollution in one hand and modifying the asphalt paving materials on the other hand. The two waste materials …
Published in Trends in Transport Engineering and Applications · Vol. 6, Issue 1, 2019 · pp. 12–19 Read article
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The Power of Narrative: A Mixed Methods Investigation of Storytelling in Social Media Based Social Cause Campaigns and Its Impact on Audience Engagement Among Young Adults
Abstract: Background: The proliferation of digital platforms has fundamentally transformed how social cause organisations communicate with their target audiences. Storytelling has emerged as a strategic tool for driving emotional resonance and behavioural change among young adults a demographic that is both digitally native and increasingly socially conscious. This study investigates (1) how storytelling in social media–based social cause campaigns influences the digital interaction behaviour of young adults, and (2) whether such …
Published in Recent Trends in Social Studies · Vol. 3, Issue 2, 2026 · pp. 37–48 Read article
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JATAYU: A Stereo Vision–Based UAV for Autonomous Navigation and Human Following in GPS-Denied Environments
Abstract: Traditional unmanned aerial vehicle (UAV) systems primarily rely on Global Positioning System (GPS)-based navigation and conventional computer vision techniques. However, these approaches face significant challenges in GPS-denied environments, such as dense urban areas, indoor spaces, and disaster-affected regions where GPS signals may be weak, unavailable, or unreliable. In addition, limitations in real-time processing, object detection accuracy, and environmental perception can reduce UAV effectiveness in dynamic and unpredictable situations. This paper …
Published in International Journal on Drones · Vol. 2, Issue 2, 2026 · pp. 30–38 Read article
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An Analysis of Machine Learning Models for Early Cardiac Risk Stratification
Abstract: The paper shows an in-depth study of machine learning and artificial intelligence solutions to early cardiac risk stratification which has a crucial necessity because cardiovascular disease (CVD) prediction remains a significant issue that needs to be improved beyond the conventional risk score. Since CVD is the most serious disease killer in the world, claiming 17.9 million deaths every year, there is a strong need to get the most sophisticated predictive …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Total Intravenous Anesthesia Versus Inhalational Anesthesia in Ambulatory Surgery: Effects on Recovery, Postoperative Outcomes, and Patient Satisfaction
Abstract: Ambulatory surgery has expanded rapidly, creating a need for anesthetic techniques that promote rapid recovery, minimal complications, and high patient satisfaction. Total intravenous anesthesia (TIVA) and inhalational anesthesia are widely used in day-care surgical practice, each with distinct pharmacological and clinical characteristics. This article compares TIVA and inhalational anesthesia with respect to perioperative hemodynamic stability, depth of anesthesia, recovery profiles, postoperative pain, postoperative nausea and vomiting (PONV), discharge readiness, and …
Published in Research and Reviews : Journal of Surgery · Vol. 15, Issue 2, 2026 · pp. 18–27 Read article
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Utility of Abbreviated Burn Scoring Index in Predicting Mortality in Burn Patients – Our Experience
Abstract: The prediction of the outcome of patients presenting with severe burns is crucial in guiding clinical judgments. There are multiple models for predicting burn mortality that have been developed over a period of time. Advancements in burn management over the past few decades have led to a remarkable reduction in burn-related morbidity and mortality worldwide. Improvements in critical care, fluid resuscitation protocols, infection control measures, nutritional support, early wound excision …
Published in Research and Reviews : Journal of Surgery · Vol. 15, Issue 2, 2026 · pp. 49–53 Read article
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Road Maintenance by Pothole Detection and Filling Robot
Abstract: Road infrastructure plays a vital role in ensuring safe and efficient transportation; however, potholes remain a major challenge due to their impact on road safety, vehicle maintenance costs, and traffic flow. Traditional pothole inspection and repair methods rely heavily on manual labor, making the process time-consuming, costly, and potentially hazardous for workers. To address these limitations, this paper presents a Pothole Detection and Filling Robot, an intelligent robotic system designed …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 2, 2026 · pp. 39–46 Read article
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Binary GA for Sidelobe Reduction and Null Steering in 5G Array
Abstract: This paper presents a comprehensive performance evaluation of a Binary Genetic Algorithm (BGA) for optimizing radiation characteristics of an active phased array antenna used in fifth-generation (5G) wireless communication systems. The primary objective is to achieve effective null steering while maintaining the desired main beam direction and simultaneously reducing the side lobe level (SLL). These improvements are essential for minimizing co-channel interference, enhancing spatial selectivity, and improving the Signal-to-Interference-plus-Noise Ratio …
Published in International Journal of Radio Frequency Innovations · Vol. 4, Issue 2, 2026 Read article
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Finite Element, Experimental, and Machine Learning-Based Optimization of Machining Stability for Polymer Composite Material Processing
Abstract: The machining of polymer composite materials, particularly fibre-reinforced polymer-matrix composites, requires stable spindle-tool performance to avoid delamination, fibre pull-out, matrix cracking, thermal softening, poor surface integrity, and premature tool wear. In line with the scope of the Journal of Polymer & Composites, this study presents an integrated finite element, experimental, and machine learning framework for improving machining stability during end-milling of composite material systems. The spindle-tool assembly is modelled using …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Systemic Lupus Erythematosus Revisited: A Milestones in Classification, Mechanistic Insights on Pathogenesis, Diagnosis, and Evolving Treatment Paradigms
Abstract: Systemic lupus erythematosus (SLE) is a prototypic, multi-systemic chronic inflammatory autoimmune disorder characterized by extreme clinical heterogeneity and the potential to involve virtually any organ or tissue. The condition is driven by a fundamental breakdown in immune tolerance, resulting in the overproduction of pathogenic autoantibodies and the formation of immune complexes that precipitate widespread inflammation and organ damage. This review aims to provide an exhaustive synthesis of recent developments in …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 3, 2026 Read article
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AI-Enabled Green Supply Chains: A Cross-Case Empirical Analysis of Sustainable Sourcing Disclosures in Indian Manufacturing Firms
Abstract: The growing integration of artificial intelligence into supply chain systems has begun to reshape how firms approach environmental responsibility and sustainable sourcing. While discussions around green supply chains often remain conceptual, limited empirical attention has been paid to how companies actually disclose and operationalize AI-enabled sustainability practices. This study examines the extent to which artificial intelligence is embedded within green supply chain strategies by conducting a cross-case empirical analysis of …
Published in International Journal of Sustainability · Vol. 3, Issue 2, 2026 · pp. 28–37 Read article
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The Influence of Artificial Intelligence on Literary Criticism
Abstract: Artificial Intelligence (AI) has emerged as a significant force in reshaping contemporary literary criticism. Traditionally, the interpretation of literature has relied primarily on human-centered methods such as close reading, contextual analysis, and theoretical framing. However, the integration of AI-based techniques including Natural Language Processing (NLP), Machine Learning (ML), stylometry, and sentiment analysis has introduced new possibilities for examining literary texts at both micro and macro levels. These computational approaches allow …
Published in International Journal of Trends in Humanities · Vol. 3, Issue 2, 2026 · pp. 22–29 Read article
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Artificial Intelligence in Trigonometry: Innovations, Applications, and Future Prospects
Abstract: Artificial Intelligence (AI) has transformed numerous scientific fields, yet its integration with classical mathematics such as trigonometry is still emerging. This paper explores how AI enhances trigonometric problem solving, learning, and real-world applications. We analyse AI-driven tools for teaching trigonometry, AI in geometric and spatial reasoning, usage in robotics and computer vision, and future directions for research. Key challenges, methodologies, and case studies are discussed to provide a comprehensive overview …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article