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312 articles for “optimal path”
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Climate-Induced Infertility in Dairy Cows: Pathways, Challenges, and Solutions for Sustainable Dairy Development
Abstract: Climate change has emerged as a significant challenge to dairy production, with profound implications for reproductive performance in dairy cows. The interplay of rising temperatures, fluctuating rainfall patterns, and increased frequency of extreme weather events disrupts key physiological, nutritional, and behavioral processes essential for fertility. Heat stress alters hormonal balance, impairs oocyte and embryo quality, reduces estrus expression, and affects pregnancy outcomes. Concurrently, climate-induced nutritional deficits, immune suppression, and increased …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 Read article
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Development and Performance Evaluation of a Polyethersulfone–Graphene Oxide Ultrafiltration Membrane for Simultaneous Drug Delivery and Virus Removal: An Experimental Investigation
Abstract: The development of multifunctional ultrafiltration membranes for simultaneous controlled drug delivery and viral removal has gained considerable attention in biomedical engineering, pharmaceutical sciences, and water purification. Polyethersulfone (PES) membranes offer excellent thermal, chemical, and mechanical stability; however, their hydrophobicity can limit permeability, antifouling performance, and biocompatibility. This study proposes the fabrication of PES–graphene oxide (GO) ultrafiltration membranes using the phase inversion technique, with systematic variation of GO concentration to optimize …
Published in International Journal of Membranes · Vol. 3, Issue 2, 2026 Read article
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A Review on Transforming Patient Pathways: The Impact of Pharmaceutical Software on Drug Manufacturing and Safety Monitoring
Abstract: The development, production, and safety monitoring of pharmaceuticals are being revolutionized by incorporating digital technologies. Throughout drug lifecycles, pharmaceutical software which includes cloud-based systems, automation, data analytics, and artificial intelligence (AI) has emerged behind efficiency and innovation. Real-time monitoring, predictive maintenance, and process optimization are made possible in manufacturing by software tools like Digital Twins, Manufacturing Execution Systems (MES), and Quality Management Systems (QMS). These technologies improve batch consistency, lower …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 40–46 Read article
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Study of Agriculture Using Drones in India: Evaluation of Feasibility, Impact, and Adoption Challenges
Abstract: Studies in India show that drone technology is revolutionizing agriculture by enabling precision farming, increasing crop yields, reducing costs, and improving sustainability. Key applications include using drones for efficient spraying, crop monitoring via multispectral sensors, soil health analysis, and optimized water management. Government initiatives like the "Kisan Drones" program are promoting adoption, supported by research that demonstrates significant benefits like yield increases and resource savings[1-3]. Figure 1 shows the usage …
Published in International Journal on Drones · Vol. 1, Issue 2, 2025 · pp. 21–33 Read article
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High-Definition Electroencephalography: A New Horizon in Neurological Pathology Research
Abstract: The advent of high-density electroencephalography (HD-EEG) has catalyzed a paradigm shift in the exploration of neurological pathologies. This editorial underscore its transformative potential in elucidating brain dynamics and refining diagnostic approaches for a spectrum of conditions, spanning from epilepsy and dementia to cognitive impairments in preterm infants. Our objective is to optimize the utility of HD-EEG by emphasizing the imperative for methodological homogenization and fostering collaborative endeavors. The remarkable spatial …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 2, 2024 · pp. 15–21 Read article
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Development of 3D Printing Filaments from Industrial Waste Plastics
Abstract: The global plastic waste crisis has prompted innovative approaches to sustainable material reuse, particularly in additive manufacturing. Simultaneously, the accumulation of plastic waste presents significant environmental concerns. Recycling plastic into filament supports eco-friendly innovation and brings us closer to a circular economy where materials are reused instead of thrown away. This study investigates the development of 3D printing filaments from industrial waste plastics, including polypropylene (PP), acrylonitrile butadiene styrene (ABS), …
Published in International Journal of Energy and Thermal Applications · Vol. 3, Issue 1, 2025 · pp. 12–17 Read article
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Nano-Chemical Revolution in Vaccinology: A Study
Abstract: The development of traditional vaccines, reliant on attenuated pathogens or purified proteins, has historically been limited by slow development timelines, poor stability, and low immunogenicity requiring potent, often non-specific, adjuvants. This synthesis argues that the convergence of nano-material science and meticulous chemical engineering represents the next major paradigm shift in preventative medicine. Nano-materials, particularly Lipid Nanoparticles (LNPs) and various polymeric or inorganic scaffolds, have transitioned from theoretical constructs to essential …
Published in Research and Reviews : A Journal of Immunology · Vol. 16, Issue 1, 2026 Read article
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Rumen Microbial Adaptation to Dietary Shifts: Mechanisms, Challenges, and Implications for Sustainable Ruminant Production
Abstract: Rumen microbiota play a central role in the digestion and fermentation of dietary components, directly influencing the health and productivity of ruminants. Dietary shifts, such as transitioning from forage-based diets to concentrate-rich diets or incorporating feed additives, induce significant changes in the composition, structure, and functional dynamics of the rumen microbial community. These adaptations, while essential for maintaining microbial homeostasis, can also lead to transient imbalances, including risks of acidosis, …
Published in Research & Reviews : Journal of Ecology · Vol. 15, Issue 1, 2026 · pp. 17–26 Read article
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Mean Edge Estimation in Population of Planar Graph Using Stratified Sampling Procedure
Abstract: When stratified sampling is used then the population has the capacity to be grouped on thebasis of certain characteristics. Generally in survey sampling the respondents are individualpersons and they are physically unlinked. Consider a situation of graphical structure wherenodes and edges are the main constituents and if somebody wants to estimate the averagelength of edges between two nodes then it is a problem under usual sampling setup. Thispaper assumes the …
Published in Research & Reviews : Journal of Statistics · Vol. 8, Issue 3, 2019 · pp. 11–31 Read article
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Comparative Study of Production of Acrylic Acid from Two Different Starting Materials: Propane and Propylene
Abstract: Acrylic acid is one of the most important raw materials for a number of products. There are several reaction pathways to produce this important commodity chemical. One of the most conventionally used methods involves the manufacture from propylene as the starting material; which is created as a by-product from industrial cracking of heavy hydrocarbons. However more propane reserves are discovered recently which highlights the opportunity to produce acrylic acid from …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 11, Issue 3, 2020 · pp. 7–31 Read article
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Enhanced Bioavailability of Nutrients in Pelleted Feeds: Implications for Performance, Health, and Meat Quality of the Broiler Chicken
Abstract: The optimization of nutrient bioavailability in pelleted feeds is crucial for enhancing the performance, health, and meat quality of broiler chickens. This review explores the complex mechanisms by which pelleting improves nutrient availability, including physical changes in feed structure, thermal and chemical effects, and the reduction of anti-nutritional factors. It also highlights the significance of improved gut health and digestion, which contributes to enhanced nutrient absorption and utilization. The paper …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 1, 2025 · pp. 12–32 Read article
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Optimal Homotopy Analysis Method (OHAM) For the Approximate Series Solution of Non-linear Partial Differential Equation
Abstract: In this article, we have used the Optimal Homotopy Analysis Method (OHAM), which is a basically semi-analytic method to solve differential equations. The ability for the user to choose the convergence control parameter, auxiliary linear operator, auxiliary function, and starting approximation is what sets apart the OHAM technique. We guaranteed the efficacy and efficiency of the procedure by fine-tuning the convergence control parameter. We solved a non-linear partial differential equation …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 1, 2024 Read article
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Graph Sampling by Spanning Tree under Stratified Setup
Abstract: The sampling theory and its methodologies are based on assumption that the population under survey is of individuals and respondents have provided the answer of questions asked. When population is of graphical structure like containing nodes and edge links then it is complicated to apply the usual sampling procedures. Spanning tree is specified type of a graph, which is always connected with all nodes and becomes a sub-graph. Assume that …
Published in Research & Reviews : Journal of Statistics · Vol. 5, Issue 2, 2016 · pp. 11–31 Read article
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AI-Enabled Recycling of Thermoplastic Polymer Waste in Hospitals: A Circular Economy Pathway Toward Green Hospital Certification
Abstract: This review research explores the latest role of AI in improving thermoplastic waste management for hospitals in terms of segregation accuracy, operational efficiency, and circular economy outcomes. Seventy-five relevant studies were analysed, and it was reported that AI-based systems, especially CNNs, YOLO models, and sensor-fusion approaches, achieved high accuracy in the identification and sorting of medical plastics, often above 90%. Early evidence also reveals improvements in the reduction of contaminants, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 170–182 Read article
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Future Challenges of Photocatalytic Water Splitting: Sustainability
Abstract: Photocatalytic water splitting has emerged as a promising technology for sustainable hydrogen production through the direct utilization of solar energy. This process mimics natural photosynthesis, using semiconductor materials to absorb light and drive the decomposition of water into hydrogen and oxygen. The method provides a sustainable and eco-friendly solution to the global energy challenge by enabling the reduction of carbon emissions. Among various solar-to-chemical energy conversion approaches, photocatalytic water splitting …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 3, Issue 2, 2025 · pp. 43–48 Read article
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Optimizing the Ratio of Number of Tubes in PCNTFET to NCNTFET for Digital Circuits
Abstract: AbstractCarbon nanotube Field Effect Transistors (CNTFET) offer various benefits as compared to other FETs. Many circuits can be constructed using PCNTFETs (P-type CNTFET) and NCNTFETs (N-type CNTFET) similar to the PMOS and NMOS of the CMOS technology. The CNTFETs employ carbon nanotubes in the channel of the device to provide a path for the ballistic conduction of electrons. The different ratios of number of tubes in channel of the PCNTFET …
Published in Journal of Microelectronics and Solid State Devices · Vol. 5, Issue 1, 2018 · pp. 34–40 Read article
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An Efficient RLT based Multinode Wireless Energy Charging in Sensor Networks
Abstract: The new generations of networks are sensor networks which typically consist of a large number of nodes that are connected wirelessly. The main idea of these types of networks is collecting data around the network's sensors. Since the sensors nodes work with the battery and there is no possibility to change or recharge these batteries, the life time of these networks depends on the sensors energy. However, multihop networks suffer …
Published in Recent Trends in Sensor Research & Technology · Vol. 3, Issue 2, 2016 · pp. 1–6 Read article
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Investigations on Anthocyanin and Its Regulatory Role
Abstract: Anthocyanin is the most widely studied and abundant group of natural pigments. It has been gaining increased attention for its potential health benefits. This vibrant, water-soluble pigment is found in fruits, vegetables, and flowers, and is responsible for the colors of many of the foods we eat. Anthocyanins are not only responsible for the aesthetic appeal of these foods, but they are also believed to have powerful antioxidant, anti-inflammatory, and …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 14, Issue 1, 2024 · pp. 32–37 Read article
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Polymer-Based Acousto-Optic Ultrasonic Sensor for Non-Destructive Evaluation of Dielectric Insulation
Abstract: A dual-polymer fiber-optic sensor for monitoring partial discharge (PD) activity in high-voltage polymeric insulation is presented in this work for non-destructive evaluation and dielectric testing applications. Dielectric weakness within polymeric insulation leads to partial discharge activity, generating ultrasonic acoustic waves that propagate through the medium. The developed sensing assembly comprises a conical polymer-based horn that gathers and concentrates the ultrasonic acoustic emission energy generated by dielectric weakness, and a single-mode …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 11–24 Read article
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Parameters Optimization of EDM of AISI 316 Stainless Steel Material using RSM
Abstract: In this paper, cutting of SS316 material using electro discharge machining (EDM) with a copper electrode using RSM technique is discussed. Electrical discharge machining (EDM) is one of the earliest non-traditional machining processes [1]. These methodologies are used to analyze the effect of each parameter on the machining characteristics and to predict the optimal choice for each EDM parameter such as peak current, gap voltage and pulse on time. It …
Published in Journal of Industrial Safety Engineering · Vol. 3, Issue 2, 2016 · pp. 23–29 Read article