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1887 articles for “Disc” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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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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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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The Impact of AI-Driven Decision-Making on Consumer Behavior and Sustainable Consumption Patterns in Modern Management
Abstract: The accelerating integration of Artificial Intelligence (AI) into business management systems has fundamentally transformed the dynamics of consumer decision-making and organizational marketing strategies. This paper investigates the multidimensional impact of AI-driven technologies, including predictive analytics, recommendation engines, chatbots, natural language processing, and machine learning algorithms, on consumer behavior and sustainable consumption patterns within contemporary management frameworks. Drawing upon a comprehensive synthesis of empirical studies, theoretical literature, and bibliometric analyses, the …
Published in Journal of Production Research & Management · Vol. 16, Issue 2, 2026 · pp. 12–19 Read article
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Automated Evaluation of Descriptive Answers
Abstract: This paper offers a smarter system of automatic evaluation of descriptive responses in educational tests. The time-consuming aspect of testing with traditional manual marking, the subjectivity of that process, and the impossibility of scaling it makes it inapplicable, particularly to large academic environments. To resolve the issues, the proposed solution combines the methods of Natural Language Processing (NLP) and hybrid image-text processing on the responses of handwriting and typed answers. …
Published in Emerging Trends in Languages · Vol. 3, Issue 2, 2026 · pp. 1–9 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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Bio-Inspired Polymer Composites for Artificial Cartilage Replacement
Abstract: The rising cases of osteoarthritis, traumatic injuries, and degenerative joint diseases are also putting pressure on the new material that is durable, biocompatible and mechanically resilient to act as artificial cartilage. The normal articular cartilage is composed of collagen fibers, protein glycids and water in the interstitium. These elements provide it with excellent load bearing quality, lubrication and wear resistance. Due to the limited self-repair capacity of cartilage and the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 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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Radiopaque Polymer Composites for Improved Visualization of Interventional Devices
Abstract: Radiopaque polymer composites are increasingly important for improving the visualization of interventional medical devices under X-ray and fluoroscopic imaging while maintaining the flexibility, mechanical performance, and processability required for minimally invasive applications. This narrative review summarizes recent developments in radiopaque polymer composites, with emphasis on radiopaque filler selection, polymer–filler interactions, processing strategies, structure–property relationships, biocompatibility, and device applications. A focused literature search was conducted using PubMed, Scopus, Web of Science, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Conductive Polymer Nanocomposites for Wearable Cardiac Monitoring Devices
Abstract: Wearable cardiac monitoring devices are increasingly important tools for non-invasive, continuous assessment of cardiac health. Their growth is driven by increases in the incidence of arrhythmias and by a great demand for remote monitoring. This is changing with the use of conductive polymer nanocomposites (CPNCs). They combine physical properties of mechanical flexibility, high electrical conductivity, and good biocompatibility resulting in high precision, and comfortable sensing. CPNCs combine conductive polymers with …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Thermal Engineering: Principles, Evolution, and Comparative Analysis with Classical Approaches
Abstract: Thermal engineering is the study of heat transfer, thermodynamics and energy conversion systems. However, through the years it has progressed from classical theories, which relied on empirical correlations, to enhanced computed and nanotechnology based approaches. This paper highlights the principles of thermal engineering, its important systems and latest developments of thermal engineering and provides extensive comparisons between the classical (traditional) methods and the most recent developments or innovations such as …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 4, Issue 2, 2026 Read article
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Box Plots: An Introduction to the Visual EDA Wonder
Abstract: A box plot, also known as a box-and-whisker plot, is a widely used statistical graphic that provides a concise summary of the distribution of numerical data. By displaying key descriptive measures such as the median, quartiles, interquartile range (IQR), minimum and maximum values, and potential outliers, box plots allow researchers to quickly understand the spread and central tendency of a dataset. They are especially useful when comparing distributions across multiple …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 20–30 Read article
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Modern Trends in Tungsten(VI) Analysis: From Smart Organic Reagents to High-Sensitivity Spectrophotometry
Abstract: The present review focuses on the spectrophotometric determination of tungsten(VI) using a wide range of organic reagents and their derivatives. Organic ligands have gained considerable importance in analytical chemistry due to their strong ability to form stable and highly colored complexes with tungsten(VI), which enhances the sensitivity and selectivity of spectrophotometric analysis. Various chromogenic reagents reported in the literature for tungsten(VI) determination have been critically examined and compared on the …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 2, 2026 · pp. 19–29 Read article
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Proteins: Structure, Functions, Sources, Types, Advantages and Biological Importance
Abstract: Proteins are essential biological macromolecules composed of amino acids linked by peptide bonds and folded into specific three-dimensional structures. Their structural organization is closely associated with their biological functions, including structural support, catalysis, transport, regulation, defense, movement and storage. This review summarizes the basic features of proteins, including amino-acid composition, levels of structural organization, classification, major biological functions and important dietary sources. It also discusses the relationship between amino-acid sequence, …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 4, Issue 2, 2026 Read article
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Ghee: Traditional and Industrial Production, Nutritional Value, and Health Effects
Abstract: Ghee is a highly clarified form of butterfat that has been widely used as an important culinary ingredient in South Asian households and traditional practices. This study provides a comprehensive overview of ghee, focusing on its production, characteristics, nutritional composition, major commercial brands, and potential effects on human health. Ghee is produced through the concentration of milk fat, followed by heat clarification and the removal of moisture and milk solids. …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 15, Issue 2, 2026 · pp. 34–41 Read article
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Whey Valorization in the Dairy Industry: Emerging Technologies and Value-Added Applications
Abstract: Whey is a major by-product of the dairy industry generated during the manufacture of cheese, casein, and other dairy products. Despite being traditionally considered a waste stream, whey contains valuable nutrients, particularly high-quality proteins, lactose, minerals, vitamins, and bioactive compounds, making it an important resource for sustainable food production. Improper disposal of untreated whey can create significant environmental concerns because of its high organic load. Whey valorization, therefore, provides an …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 15, Issue 2, 2026 · pp. 42–49 Read article
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Recent Advances in Crystal Defect Engineering of Semiconductor Photocatalysts for Sustainable Environmental and Energy Applications
Abstract: Semiconductor photocatalysis has emerged as one of the most promising green technologies for addressing environmental pollution and global energy challenges through solar energy utilization. Nevertheless, the practical application of conventional semiconductor photocatalysts is often limited by their narrow visible-light absorption, rapid recombination of photogenerated electron–hole pairs, insufficient active sites, and poor charge-transfer efficiency. Defect engineering has recently attracted significant attention as an effective strategy to overcome these limitations by deliberately …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 4, Issue 2, 2026 Read article
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Advancements in Analytical Techniques and Validation Methods for Pharmaceutical Tablet Formulations Using HPTLC
Abstract: High Performance Thin Layer Chromatography (HPTLC) is a versatile analytical technique which has been effectively used for pharmaceutical quality control and cost effectively, rapidly, and high throughput analyzed tablet formulations. HPTLC is different from traditional chromatographic methods as multi sample analysis is possible in one run with low consumption of solvent, which are principles of green analytical chemistry. But existing HPTLC is limited in sensitivity, resolution and reproducibility and these …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 13, Issue 3, 2026 Read article
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Everyday Life Under British Rule in India
Abstract: This research examines the transformation of everyday life under British rule in India between 1858 and 1947 focusing on the subtle yet profound ways colonial governance reshaped daily routines, social practices, and cultural identities. While much historiography has concentrated on political movements, economic policies, and administrative reforms, this study shifts attention to the lived experiences of ordinary people. It analyzes how colonial power operated not only through legislation and military …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 16, Issue 2, 2026 · pp. 1–11 Read article
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Intelligent Paradigms in Subsea Connectivity: A Comprehensive Review of Artificial Intelligence in Underwater Communications
Abstract: Underwater wireless communication (UWC) plays a critical role in ocean exploration, environmental monitoring, offshore energy operations, disaster management, and naval defense. However, the underwater environment presents significant communication challenges, including severe signal attenuation, multipath propagation, Doppler effects, limited bandwidth, high latency, and energy constraints. Recent advancements in Artificial Intelligence (AI) and Machine Learning (ML) have emerged as promising solutions to address these limitations and enhance the efficiency, reliability, and adaptability …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Confident but Wrong: A Lifecycle Analysis of Hallucination in Large Language Models Understanding AI's Confidence Problem
Abstract: A Large Language Model (LLM) is likely to produce sentences that are fluent and confident in many instances, but completely wrong. In many cases a Large Language Model (LLM) will produce a fluent and confident sentence that is completely incorrect. This review tries to analyze this phenomenon using the most recent literature regarding natural language generation, computational learning theory and benchmark experiments. The argument is that it is not a …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article