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940 articles for “outcome”
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ML-Driven Optimization Framework for the Analysis, Design, and Development of Efficient Wireless Power Transfer Systems for EV Charging
Abstract: The fast uptake of electric vehicles (EVs) has heightened the necessity of effective, dependable and convenient charging systems. The Wireless Power Transfer (WPT) systems can be taken as a potential solution as they allow charging cells without contact, without any risks, and without any overcrowding; the efficiency of the system is strongly influenced by the alignment of coils, the fluctuations of air-gaps, the conditions of the loads, and geometrical arrangements …
Published in International Journal of Manufacturing and Production Engineering · Vol. 4, Issue 1, 2026 · pp. 1–9 Read article
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Factors Affecting Mammalian Embryo Culture: A Detailed Review
Abstract: Human IVF has made remarkable progress, but optimizing the in vitro environment remains essential and crucial for supporting embryo development and improving overall clinical outcomes in assisted reproductive technologies (ART). Even with advances in complex culture media, incubator design, and laboratory workflows, embryos grown outside the body are still exposed to chemical and physical stressors that can significantly affect their developmental potential. In this review, we discuss key chemical stressors, …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 4, Issue 1, 2026 Read article
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An Empirical Analysis of Cost, Time, and Quality Relationships Using Correlation and Regression Techniques
Abstract: Cost, time, and quality have been recognized as the three key dimensions that determine construction project performance and are commonly represented through the "Project Management Triangle." However, despite their theoretical linkage, there is limited empirical evidence to quantify the nature of their relationships, particularly within developing construction markets. This paper seeks to contribute to addressing this shortfall by investigating the specific influence of cost and schedule variations upon quality outcomes …
Published in Journal of Construction Engineering, Technology & Management · Vol. 16, Issue 1, 2026 · pp. 52–60 Read article
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AI-Powered Drug Delivery: Revolutionizing Formulation Science
Abstract: Artificial Intelligence (AI) is emerging as a groundbreaking tool in revolutionizing Drug Delivery Systems (DDS), offering promising advancements in precision, efficiency, and personalized treatment strategies. The integration of AI technologies into pharmaceutical research and development is transforming how drugs are formulated, delivered, and monitored in real time. By leveraging machine learning algorithms and data analytics, researchers can design drug delivery models that are not only more effective but also tailored …
Published in Trends in Drug Delivery · Vol. 13, Issue 1, 2026 · pp. 48–61 Read article
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Comparative of Encryption-Decryption Performance of (Binary, Gray- Scale, Color) Images Using Discrete Fractional Fourier Transform (DFRFT)
Abstract: The Discrete Fractional Fourier transform (DFRFT) provides an effective model of image encryption by further developing the classic Fourier transform by adding fractional orders, which increase the degrees of freedom. Owing to the omnipresence of digital media in many industries like education, healthcare, and entertainment, the mobility of visual data has become a significant issue to keep confidential. Images form one of the main ways of exchanging information and, therefore, …
Published in Research & Reviews : Journal of Physics · Vol. 15, Issue 1, 2026 · pp. 54–65 Read article
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Elucidation of Physical Structural Stability of Nickel Nanoparticles Additive-Based Magnetorheological Grease
Abstract: This study investigates the influence of nickel nanoparticles on the physical properties and structural stability of magnetorheological grease (NMRG) as a smart composite. The incorporation of nickel nanoparticles aims to mitigate issues commonly observed in conventional magnetorheological grease (MRG), including particle aggregation within the fibrous matrix, limited material performance, and deformation instability. NMRG samples containing 1–5 wt% nickel nanoparticles were prepared using a mechanical stirring method. The tests focused on …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 191–215 Read article
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Influence of Polymeric Carriers on the pH-Modifying Properties of Intracanal Medicaments in Root Canal Treatment
Abstract: Calcium hydroxide (CH) preparations and medicated gutta-percha are widely used intracanal medicaments in root canal treatment. These materials often incorporate polymeric carriers to deliver the CH payload and influence its therapeutic effect. This in-vitro study investigates the impact of different polymeric carriers on the pH-modifying properties of intracanal medicaments within the root canal system. The research focuses on two key aspects: (1) the ability of the polymers to control the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 967–974 Read article
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Enhancing Remote Patient Monitoring with Ai-Powered Virtual Assistants
Abstract: Artificial Intelligence (AI) is transforming personalized education by tailoring learning materials to meet the distinct needs, preferences, and progress of individual students. This paper explores how AI technologies—such as machine learning, natural language processing, and adaptive learning systems are improving the effectiveness of personalized learning experiences. Through AI, students benefit from timely feedback, access to intelligent tutoring systems, and data-driven insights that enable educators to enhance their teaching strategies. Additionally, …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 Read article
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Ethical Risks of Generative AI in Education: Challenges, Implications, and a Responsible Use Framework
Abstract: The rapid diffusion of generative artificial intelligence (AI) technologies in educational settings is reshaping how teaching, learning, and assessment are designed and enacted. Large language models and related generative systems offer powerful capabilities for content creation, personalized feedback, and instructional support, promising gains in efficiency and learner engagement. However, their growing use also introduces a complex set of ethical risks that challenge foundational educational values such as integrity, equity, transparency, …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 23–30 Read article
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A Case Study on the Efficacy of Sanshamana Chikitsa in Vitiligo (Shwitra)
Abstract: Background: Vitiligo (Shwitra), a pigmentary disorder characterized by the loss of melanocytes, the skin cells responsible for melanin production. This results in the appearance of white or depigmented patches on the skin, is interpreted in Ayurveda as a Tridoshaja condition primarily involving vitiation of Pitta and Rakta. Vitiligo poses a major psychological burden in addition to being a cosmetic issue due to its visible appearance and associated social stigma. Objective: …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 13, Issue 1, 2026 · pp. 29–38 Read article
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Elderly Healthcare Using Federated Learning Approach
Abstract: The healthcare system for elderly people faces several challenges, which can be addressed using advanced machine learning models. These models can help monitor chronic diseases, detect falls, and provide personalized health recommendations. The study uses comprehensive datasets like MIMIC-III/IV, WESAD, and UCIHAR to explore human movements, device limitations, and the differences in fall occurrences. A detailed review of existing literature discusses current technologies for activity monitoring and fall detection, focusing …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 13–23 Read article
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Design and Analysis of Honeycomb Rear Door Map Pocket by Application of Finite Element Method
Abstract: In modern automobiles, the door trim plays a vital role in both functionality and occupant safety. It integrates various convenience features such as armrests, power window switches, and map pockets, while also contributing to crash energy absorption during side impacts. In such collisions, the occupant's body typically contacts the door trim, making its design and material selection critical for minimizing injury through controlled deformation and energy dissipation. This research focuses …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 940–951 Read article
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Bone Grafting in Dentistry: From Biological Principles to Contemporary Regenerative Applications
Abstract: Bone grafting plays a pivotal role in contemporary regenerative dentistry by enabling predictable reconstruction of alveolar bone defects resulting from periodontal disease, tooth extraction, trauma, or pathology. Adequate bone volume and quality are essential prerequisites for successful implant placement, periodontal regeneration, and long-term functional and esthetic outcomes. Bone graft materials act as biological or synthetic scaffolds that facilitate new bone formation through the primary mechanisms of osteogenesis, osteoinduction, osteoconduction, and …
Published in Research and Reviews: A Journal of Dentistry · Vol. 17, Issue 1, 2026 · pp. 6–13 Read article
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A Detailed Survey of Machine Learning Applications, Methods, and Future Prospects in Agriculture
Abstract: Agriculture is undergoing a digital transformation driven by machine learning (ML) and artificial intelligence. The integration of ML techniques with data from sensors, drones, satellites, and IoT devices has enabled precision agriculture, early disease detection, optimized resource use, and improved yield prediction. This paper presents a comprehensive review of machine learning applications in modern agriculture, covering key areas such as crop monitoring, soil analysis, irrigation scheduling, pest, and disease detection, …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 39–45 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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Nanoformulation Strategies: Emerging Innovations in Drug Delivery Systems
Abstract: Nanotechnology is significantly advancing the pharmaceutical industry by introducing nanosystems that improve drug delivery, therapeutic efficacy, and patient outcomes. Various nanosystems-such as liposomes, dendrimers, polymeric nanoparticles, solid lipid nanoparticles, carbon nanotubes, and metallic nanoparticles-offer benefits like enhanced bioavailability, targeted delivery, improved stability, and reduced side effects. Innovative formulation strategies, including surface functionalization, particle size optimization, and use of biodegradable carriers, support controlled and sustained drug release. Additionally, production in non-aqueous …
Published in International Journal of Toxins and Toxics · Vol. 3, Issue 1, 2026 · pp. 54–67 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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A Comprehensive Review on Federated Learning in Disease Detection
Abstract: Healthcare data, which is frequently dispersed among various organisations, has enormous potential to improve predictive analytics and illness identification. However, there are substantial privacy & legal obstacles to sharing this private data for centralised model training. Federated Learning is a paradigm shift that allows several organisations to work together to build a global model without disclosing raw patient information. Federated Learning uses a larger dataset to provide more reliable insights …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 1–21 Read article
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Community Perception on Land Dispossession and Compensation Practices: Evidence from Gondar City, Northwest Ethiopia
Abstract: Land expropriation for urban expansion in the Gondar area significantly reduced farming households from 95%–74%, displacing 29% of affected farmers. While some acknowledged the public benefits, most respondents criticized the process for a lack of transparency, limited community involvement, and inadequate rehabilitation support. Farmers reported receiving compensation that was low, unfairly calculated, and subject to prolonged delays. Key systemic issues included a lack of awareness among affected communities, inconsistent knowledge …
Published in International Journal of Land · Vol. 3, Issue 1, 2026 · pp. 1–16 Read article
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Pharmacoeconomic Perspectives on Clinical Pharmacy Practice: Enhancing Cost Efficiency in Healthcare
Abstract: Pharmacoeconomics is an essential aspect of clinical pharmacy that determines the cost-effectiveness of drug treatment, which helps healthcare providers to allocate resources fully. This review discusses some of the notable pharmacoeconomic evaluation techniques, including Cost-Effectiveness Analysis (CEA), Cost-Utility Analysis (CUA), and Cost-Benefit Analysis (CBA), and their use in clinical decision-making. The paper also brings out the importance of clinical pharmacy intervention, such as Medication Therapy Management (MTM), patient counselling, and …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 1, 2026 · pp. 85–91 Read article