Search
471 articles for “integration complexities”
-
Veterinary Mycology: Fungal Infections in Livestock and Companion Animals
Abstract: Fungal infections represent a significant yet often underestimated challenge in veterinary medicine, affecting both livestock and companion animals. Veterinary mycology encompasses a diverse group of pathogens, including yeasts, molds, dimorphic fungi, and dermatophytes, that can cause localized or systemic diseases with substantial health, economic, and zoonotic implications. In livestock species, such as cattle, sheep, goats, poultry, pigs, horses, and camels, fungal infections manifest as dermatophytosis, mycotic mastitis, aspergillosis, keratomycosis, and …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 14, Issue 3, 2025 · pp. 44–51 Read article
-
Role of Carbohydrates and Herbal Plants in the Management of Diabetes Mellitus
Abstract: This extensive review explores the intricate relationship between carbohydrates and diabetes mellitus, integrating historical perspectives, biochemical foundations, and modern therapeutic approaches. The article delves into the chemistry of carbohydrates, elucidating their structural diversity and metabolic significance in relation to diabetes pathophysiology. It traces the evolution of diabetes, understanding from ancient civilizations to contemporary molecular insights, highlighting pivotal discoveries such as insulin’s identification. They critically examined various forms of diabetes, including …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 1, 2025 · pp. 34–60 Read article
-
Retained Placenta in Dairy Cows: Causes, Consequences and Effective Strategies for Sustainable Dairy Development
Abstract: Retained placenta (RP) is a common reproductive disorder in dairy cows that poses a significant threat to reproductive efficiency, milk yield, and overall herd productivity. The condition, characterized by the failure to expel fetal membranes within 24 hours post-calving, results from a complex interplay of metabolic, endocrine, nutritional, and management-related factors. Key causative agents include dystocia, twin births, premature calving, mineral imbalances, oxidative stress, immune suppression, and hormonal disruptions, particularly …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 Read article
-
Advanced Deep Learning Techniques for Sickle Cell Anaemia Detection
Abstract: Sickle Cell Anemia (SCA) is a prevalent genetic blood disorder characterized by the presence of abnormal hemoglobin, resulting in the distinctive sickle shape of red blood cells. Timely and accurate identification of Sickle Cell Anemia (SCA) is essential for effective management and treatment. This study presents a new method that utilizes Convolutional Neural Networks (CNNs), a deep learning model particularly effective for image analysis. The process involves using microscopic images …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 3, 2024 · pp. 9–15 Read article
-
The Interface of Hardware and Intelligence: The Function of Operating Systems
Abstract: Operating systems play a central role in bridging the gap between computer hardware and user interaction. They simplify complex machine-level operations and transform them into user-friendly and efficient digital experiences. At their core, operating systems are responsible for managing essential tasks such as process scheduling, memory allocation, file system organization, and device coordination. By handling these functions effectively, they ensure that hardware resources are used in an optimal and balanced …
Published in Journal of Operating Systems Development & Trends · Vol. 13, Issue 1, 2026 Read article
-
64 Bit ALU DESIGN USING VEDIC MATHEMATHICS
Abstract: High-speed arithmetic operations are crucial for better performance in contemporary digital systems. Particularly for high bit-width operations, conventional arithmetic logic units (ALUs) frequently experience increased latency and complexity. This work presents the design and implementation of a 64-bit Arithmetic Logic Unit (ALU) using notions from Vedic mathematics. The suggested design makes use of a Kogge-Stone Adder for effective addition and the Urdhva Tiryagbhyam sutra for quick multiplication. Among other mathematical …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 4, Issue 1, 2026 Read article
-
Hybrid Material Systems for Flexible Electronics Electro-Mechanical Performance and Future Prospects
Abstract: Flexible electronics are transforming the landscape of modern electronic systems, enabling devices that are lightweight, stretchable, and adaptable to complex surfaces. These technologies are particularly impactful in applications such as wearable health monitors, soft robotics, energy harvesting systems, and implantable biomedical devices. At the heart of this evolution are hybrid material systems—engineered composites that combine organic polymers and inorganic nanomaterials to achieve synergistic electro-mechanical properties. These materials address the limitations …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 3, Issue 1, 2025 · pp. 7–12 Read article
-
Advanced Lithium-Ion Battery Prognostics: A Comprehensive Review of Machine Learning Approaches for Remaining Useful Life Prediction
Abstract: The lithium-ion battery (LIB), as one of the main sources for portable power systems, has been increasingly popular owing to its widespread applications in electric vehicles, consumer electronics, aerospace and renewable energy. Despite their advantages in high energy density and long cycle life, LIBs suffer from degradation over time of aging and cycling, resulting in loss of performance, safety issues, and economic bottlenecks. Predicting their Remaining Useful Life (RUL) is …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 2, 2025 · pp. 12–27 Read article
-
Enhancing Construction Safety Performance Through Artificial Intelligence: A Systematic Review
Abstract: The construction industry is still one of the most dangerous sectors globally because of its dynamic working environment, the employment of heavy machinery, and the complexity of operational processes. Traditional safety management methods are largely dependent on manual monitoring and reactive measures, which are not always effective for accident prevention. In recent years, Artificial Intelligence (AI) has been recognized as a revolutionary technology in construction safety, with capabilities such as …
Published in Journal of Industrial Safety Engineering · Vol. 13, Issue 1, 2026 · pp. 13–30 Read article
-
Air Flow Analysis in Sensor-Based Aircraft Wings Design
Abstract: Airflow analysis, at its core, is an application of fluid mechanics principles to the specific study of air movement. Airflow analysis plays a crucial role in diverse fields, impacting everything from the comfort of our homes to the efficiency of jet engines. The pursuit of more efficient, safer, and more responsive aircraft wings is a constant driver of innovation in the aerospace industry. The quest for more efficient, safer, and …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 2, 2025 · pp. 29–39 Read article
-
A Study on Automatic Feedback Control by Image Processing for Mixing Solutions in a Microfluidic Device
Abstract: Precise and rapid mixing of chemical and biological reagents is a critical yet challenging aspect of microfluidic systems, often limited by laminar flow conditions and the need for manual or pre- programmed interventions. Existing mixing strategies frequently lack real-time adaptability and closed-loop control, hindering reproducibility and the execution of complex reaction protocols. This work presents an innovative automatic feedback control system utilizing the study on real- time image processing to …
Published in International Journal of Advanced Control and System Engineering · Vol. 3, Issue 2, 2025 · pp. 32–41 Read article
-
Microbial Symphony: Understanding Biochemical Pathways for Precision Medicine and Beyond
Abstract: The human microbiome, an intricate ecosystem of microorganisms inhabiting the body, is a key regulator of host biochemistry and physiology. This review delves into the complex biochemical pathways influenced by the microbiome, spotlighting critical metabolites like short-chain fatty acids, bile acids, and tryptophan derivatives, which impact immune regulation, energy metabolism, and neurobehavioral functions. By examining interactions between the microbiome and the host, including the influence of genetic factors and metabolite-driven …
Published in International Journal of Antibiotics · Vol. 2, Issue 1, 2025 · pp. 28–43 Read article
-
Developing Techniques for Controlling Different Aspects of Text Generation Such as Tone and Contents
Abstract: Large Language Models (LLMs) have shown excellent text creation quality in Natural Language Processing (NLP). However, LLMs have to satisfy ever-more-complex standards in real-world applications. LLMs are supposed to meet specific user goals, like as mimicking specific writing styles or producing material with poetic richness, in addition to eliminating inaccurate or objectionable content. Controllable Text Generation (CTG) techniques were developed in response to these diverse demands. They guarantee that outputs …
Published in Recent Trends in Programming languages · Vol. 12, Issue 2, 2025 · pp. 34–39 Read article
-
Quantitative Approaches to Legal Decision-Making: The Mathematics of Justice
Abstract: The research paper examines the application of quantitative approaches to decision-making in legal systems, presenting the concept of "mathematical justice." As legal systems grow increasingly complex, the adoption of statistical and data-driven methods can provide valuable insights, offering clarity and consistency to judicial processes. By leveraging these methods, courts and policymakers can make more informed, evidence-based decisions, enhancing both fairness and accountability within the justice system. The paper is divided …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 3, 2024 · pp. 27–31 Read article
-
Polymer Chemistry-Guided Development of Biomimetic Composite Scaffolds
Abstract: Polymer chemistry plays a fundamental role in advancing biomaterials for anatomical tissue engineering, particularly in the design of composite scaffolds that replicate the intrinsic characteristics of native tissues. The regeneration of damaged tissues, especially within anatomically complex structures such as bone, cartilage, and skin, necessitates biomaterials that closely emulate the hierarchical architecture and biological functions of native extracellular matrices (ECMs). The capacity to replicate both mechanical and biochemical cues of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 7–13 Read article
-
Development of a Novel Analytical Framework for Investigating Non-Symmetric Deformation Behavior in Strip Rolling
Abstract: In recent years, the asymmetrical rolling process has attracted considerable research attention due to its ability to induce non-uniform deformation characteristics within metallic workpieces. In this context, the present study introduces a novel analytical framework for asymmetrical cold rolling based on an enhanced slab method, specifically designed to overcome the inherent limitations of existing analytical models when applied to a wide range of asymmetric rolling conditions. A newly developed mathematical …
Published in Journal of Experimental & Applied Mechanics · Vol. 17, Issue 1, 2026 · pp. 1–21 Read article
-
Impacts of Climate Change on Land Degradation: A Review of Mitigation
Abstract: Land degradation has emerged as one of the most pressing environmental challenges globally, significantly impacted by the multifaceted and escalating effects of climate change. The degradation of land, including soil erosion, nutrient depletion, deforestation, and desertification, directly threatens food security, biodiversity, and human livelihoods. As climate change leads to increasingly erratic weather patterns, including prolonged droughts, intense rainfall, and extreme temperatures, land degradation has become more pronounced and widespread, exacerbating …
Published in International Journal of Land · Vol. 2, Issue 1, 2025 · pp. 6–10 Read article
-
Utilizing Engineering Principles in Content Creation
Abstract: In creative writing and content creation tasks, individuals often utilize prompt chaining to craft narratives, develop characters, and explore diverse storytelling paths. The integration of AI has revolutionized content creation, reshaping the processes of generation, optimization, and refinement. Prompt engineering emerges as a crucial practice, involving the careful crafting and fine-tuning of prompts or instructions to elicit precise and valuable responses from generative AI models. This strategic approach translates human …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 2, 2025 · pp. 16–23 Read article
-
Evolving Face of Quality in The World Robotics Process Automation (RPA)
Abstract: Robotics Process Automation (RPA) is a technology that automates repetitive and rule-based tasks using software robots or "bots." These bots mimic human interactions with digital systems and perform tasks like data entry, validation, report generation, and system integration. RPA leverages AI and ML to improve operational efficiency and can be applied across industries and functions. Implementing RPA offers benefits such as error reduction, productivity enhancement, and cost savings. RPA is …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 1, Issue 1, 2023 · pp. 1–9 Read article
-
Emotion Recognition from Electroencephalogram Signal and Eye Movement Based on Deep Learning
Abstract: Emotion recognition from electroencephalogram (EEG) signals has gained significant attention due to its potential in human- computer interaction (HCI), mental health monitoring, and personalized content delivery. This paper presents the use of Convolutional neural networks (CNNs) to classify emotions such as happiness, sadness, fear, neutral, and disgust by leveraging a fusion of EEG signals and eye movements data. Compared to conventional methods of emotion detection, such as those that rely …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 8–15 Read article