Search
484 articles for “optimization strategies”
-
Functional Role of Feed Enzymes in Broiler Diets: A Pathway to Enhanced Nutrient Utilization, Performance, Health and Welfare
Abstract: The inclusion of feed enzymes in broiler diets has emerged as a pivotal strategy for improving nutrient utilization, enhancing growth performance, and promoting overall health and welfare in modern poultry production. Feed enzymes, such as phytase, xylanase, and protease, facilitate the breakdown of complex molecules in feed ingredients, leading to increased bioavailability of essential nutrients and improved digestion efficiency. This review explores the underlying mechanisms by which feed enzymes contribute …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 3, Issue 2, 2025 · pp. 9–17 Read article
-
Integrating Livestock for Enhancing Sustainability of Soil, Water and Agroecosystem: Implications from a One Health Perspective
Abstract: Livestock systems play a pivotal role in sustaining environmental health, enhancing ecosystem services, and supporting agricultural productivity. Well-managed integration of livestock into agroecosystems contributes to soil fertility through organic matter deposition, microbial stimulation, and nutrient cycling, while improving soil structure and long-term productivity. Grazing and pasture management regulate water infiltration, retention, and hydrological balance, mitigating soil erosion and enhancing water-use efficiency. Livestock also promote biodiversity by maintaining habitat heterogeneity, facilitating …
Published in International Journal of Sustainability · Vol. 3, Issue 1, 2026 · pp. 1–11 Read article
-
Nutrient–Xenobiotic Crosstalk in Dairy Cattle: Implications for Metabolism, Immunity, Health, and Productivity in Resilient Dairy Development
Abstract: Dairy cattle are routinely exposed to a wide range of xenobiotics, including mycotoxins, heavy metals, pesticides, residues from veterinary drugs, and plant secondary metabolites, through feed, water, and environmental sources. These xenobiotics, being foreign to biological systems, can interfere with the absorption, metabolism, and utilization of essential nutrients, while also compromising immune function, organ health, and overall physiological performance. Chronic or subclinical exposure can reduce feed efficiency, disrupt energy and …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 37–46 Read article
-
ML Analysis of Factors Affecting Vaccination in Rural Children: A Machine Learning Approach
Abstract: Vaccination remains one of the most effective public health interventions for preventing childhood diseases, yet rural regions in India continue to experience uneven immunization coverage due to multiple socioeconomic and geographic barriers. This research applies machine learning techniques to identify and analyze the major determinants influencing childhood vaccination uptake in rural communities. The study utilizes survey-based demographic, socioeconomic, and healthcare-related parameters to build predictive models that classify children as vaccinated …
Published in International Journal of Vaccines · Vol. 3, Issue 2, 2026 Read article
-
Revolutionizing Culinary Innovation and Sustainability through Smart Kitchen Assistant
Abstract: Introducing a Smart Kitchen Assistant which revolutionizing a culinary experiences with advanced features. This innovative system integrates a precision Vegetable Cutter, optimizing meal preparation efficiency. And a Storage Space ensures organized ingredients readily available for cooking. UV Light Sterilization guarantees hygienic food preparation surfaces, enhancing safety. Additionally, integrated Solar Panels promote sustainability, reducing energy consumption and environmental impact. By seamlessly combining this technology with sustainable practices, our Smart Kitchen Assistant …
Published in Trends in Machine design · Vol. 11, Issue 3, 2024 · pp. 1–16 Read article
-
Harnessing Machine Learning for Stock Movement Prediction: A Review of Current Approaches
Abstract: Stock price prediction is a crucial task in financial analysis, aiding investors and traders in making informed decisions. This study investigates the use of deep learning methods, particularly Long Short-Term Memory (LSTM) networks, for predicting stock prices based on historical market data. The dataset, sourced from Yahoo Finance, consists of time-series stock price data, which is preprocessed, feature-engineered, and visualized to improve prediction accuracy. The model's performance is assessed using …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 29–40 Read article
-
Revolutionizing Gastro-retentive Drug Delivery: Exploring Innovative Formulation Strategies and Mechanisms in Floating in Situ Gel Raft Forming System
Abstract: An in-depth exploration of the transformative shift underway in gastro-retentive drug delivery, spotlighting the utilization of Floating Drug Delivery Systems (FDDS) and specifically honing in on the innovative formulation strategies and mechanisms inherent in Floating In Situ Gel Raft Forming Systems. FDDS present a promising avenue for revolutionizing drug delivery efficacy by capitalizing on buoyancy to float atop the gastric fluid surface, thereby extending gastric residence time and improving drug …
Published in Trends in Drug Delivery · Vol. 11, Issue 1, 2024 · pp. 9–21 Read article
-
Advances in Speed Control Techniques for Three-phase Induction Motors
Abstract: Induction motors are pivotal in modern industrial applications due to their efficiency and adaptability. Electric motors that run on alternating current (AC) and are driven by a rotating magnetic field are called induction motors. They consist of coils that use electromagnetic induction to transform electrical energy into mechanical energy, a rotor, and a stator. AC induction motors are incredibly adaptable, efficient, and have a comparatively straightforward construction. This paper provides …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 3, 2024 · pp. 1–8 Read article
-
Improving the Efficiency of Solar Cabinet Dryers: A Comprehensive Review
Abstract: Solar cabinet dryers offer an eco-friendly and sustainable solution for drying agricultural products, utilizing solar energy to reduce moisture content. However, to match the performance of conventional drying methods, there is a need to enhance the efficiency of these systems. This research article delves into various strategies to increase the efficiency of solar cabinet dryers, including design optimization, material selection, airflow management, and operational adjustments. Key improvements such as multi-pass …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 11, Issue 3, 2024 · pp. 22–27 Read article
-
Integration of GIS and AI in Urban Planning and Disaster Management
Abstract: The rapid pace of urbanization, combined with the increasing frequency and intensity of natural disasters, necessitates the development of innovative solutions for urban planning and disaster management. Geographic information systems (GIS) and artificial intelligence (AI) have emerged as transformative technologies capable of addressing these challenges. GIS provides a robust framework for spatial data analysis, while AI enhances decision-making through predictive analytics and automation. This paper explores the integration of GIS …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 1, 2025 · pp. 20–36 Read article
-
Optimization of Biohybrid Polymer Synthesis Using Fuzzy Inference Systems
Abstract: This investigation proposes a methodology to optimize biohybrid polymer synthesis using fuzzy inference systems (FIS). The study combines fuzzy logic principles with mathematical calculations for finding the best synthesis parameters to enhance the synthesis quality. This study consists on a sample about the use of FIS on optimisation of polymer synthesis, where they show the process of fuzzification, rule base creation, inference mechanism and defuzzification using the centroid method through …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 36–47 Read article
-
Antimicrobial Resistance and AI-Based Strategies for Rapid Pathogen Detection
Abstract: Antimicrobial resistance (AMR) has become a major global health threat, significantly reducing the effectiveness of antimicrobial therapies and increasing the burden of infectious diseases worldwide. The rapid emergence of multidrug-resistant pathogens has created an urgent need for faster, more accurate, and scalable diagnostic approaches to support timely treatment and effective infection control. Artificial intelligence (AI) has emerged as a promising technology capable of transforming pathogen detection and AMR surveillance through …
Published in Recent Trends in Infectious Diseases · Vol. 3, Issue 2, 2026 · pp. 26–36 Read article
-
Overview of Recent Advancement of Nano Stent in Pharmaceutical Application
Abstract: Interventional cardiology has witnessed remarkable progress with the evolution of nanotechnology, leading to the development of nanostents. Nanostents, characterized by their nanoscale features and innovative materials, have emerged as a cutting-edge solution for addressing the limitations associated with traditional stent technologies. This thorough analysis examines the most recent developments in the design, manufacture, and use of nanostents, emphasizing how they may completely transform vascular interventions. The first section of the …
Published in Trends in Drug Delivery · Vol. 11, Issue 1, 2024 · pp. 22–43 Read article
-
Impact of Vaccine Awareness Campaigns on Pharmacovigilance Reporting and Public Safety Monitoring
Abstract: Vaccination programs have significantly contributed to the reduction of infectious diseases worldwide; however, their success is closely tied to public confidence and robust safety monitoring systems. Pharmacovigilance plays a critical role in identifying, assessing, and preventing adverse events following immunization (AEFI). In recent years, vaccine awareness campaigns have emerged as a pivotal strategy to improve public knowledge, reduce vaccine hesitancy, and enhance reporting of adverse drug reactions (ADRs). This review …
Published in International Journal of Vaccines · Vol. 3, Issue 2, 2026 · pp. 1–14 Read article
-
Reduction of Air Pollutants of Urban Canyons through Management of Particulate Matters 2.5 in the Streets
Abstract: Urban canyons are long and high sky-scrappers closely to narrow streets result in very different microclimate challenges. These spaces often trap pollutants and restrict air circulation and intensify more retention of heat making them very uncomfortable for pedestrians. In order to resolve this issue a strong set of design guidelines and frameworks were needed which can balance out the human comfort and environmental aspects. This research studies strategies to improve …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 1, 2025 · pp. 11–23 Read article
-
Recent Advances in Delivering Strategies of Domperidone Challenges and Opportunities
Abstract: Domperidone (DMP), a potent gastroprokinetic and antiemetic drug, exhibits poor aqueous solubility and limited oral bioavailability. Therefore, to develop oral preparations with optimized oral bioavailability, the pharmacokinetic parameters of DMP need to be controlled. The present review aimed to discuss the physicochemical characteristics of DMP causing its unfavorable oral delivery, to explore the viable oral formulation approaches, and to propose some recent formulation approaches that can mitigate the above mentioned …
Published in Trends in Drug Delivery · Vol. 8, Issue 2, 2023 · pp. 13–24 Read article
-
Hybrid Best-Response Algorithms for Mobile Computing Offloading: A Comprehensive Review
Abstract: The exponential growth of mobile applications with intensive computational requirements has necessitated innovative offloading strategies in mobile computing ecosystems. This comprehensive review examines hybrid best-response offloading algorithms integrated with game-theoretic optimization frameworks to address resource allocation challenges in mobile edge computing (MEC) environments. The proliferation of Internet of Things (IoT) devices and bandwidth-intensive applications has created unprecedented demands on mobile network infrastructure, compelling researchers to develop sophisticated offloading mechanisms that …
Published in International Journal of Mobile Computing Technology · Vol. 3, Issue 2, 2025 · pp. 20–26 Read article
-
Optimizing Green Fodder Availability: Strategic Roadmaps for Sustainable Dairy Development in the Tropics
Abstract: The growing demand for dairy products in tropical regions underscores the urgent need to optimize green fodder availability for sustainable dairy farming.The growing demand for dairy products in tropical regions underscores the urgent need to optimize green fodder availability for sustainable dairy farming. Green fodder serves as a vital source of nutrition for dairy cows, directly influencing milk yield, animal health, and overall farm profitability. However, challenges such as limited …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 3, 2025 · pp. 11–30 Read article
-
Enhanced Shell Script Optimization Techniques for Low-latency Automation in DevOps Environments
Abstract: Shell scripting remains a foundational component in system administration and DevOps automation, providing a straightforward yet powerful method for automating tasks, managing system configurations, and integrating seamlessly within continuous integration and continuous delivery (CI/CD) pipelines. These scripts serve as the backbone for many repetitive and complex tasks, enabling IT teams to execute workflows efficiently without manual intervention. As organizations continue to scale their infrastructure and adopt more complex architectures, the …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 3, 2024 · pp. 1–5 Read article
-
Dynamic Performance Enhancement of Polymer Composites through Metaheuristic machinining optimization
Abstract: This work aims to provide an optimization of meta-heuristic algorithms in order to improve the dynamic behavior of composite materials utilized in various practical engineering tasks. Based on the Comprehensive literature review it has been observed that composite sandwich panels with PVC foam cores accomplished mechanical characteristics superior than those ones that were produced on PU foam core mainly in flexural, compression, and impact tests Thus the study establishes the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 114–129 Read article