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312 articles for “optimal path”
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Performance Analysis of Routing and Protection Schemes for High Speed Networks
Abstract: AbstractManagement of high-speed networks becomes critical as traffic volume increases. Impact of failures is aggravated in networks carrying huge volume of data. Impact is more pronounced as level of multiplexing in high speed networks increase. It is important to deal with survivability of high speed networks in efficient manner in order to maintain high Quality of Service (QoS). In this paper, a performance analysis of routing and protection algorithms in …
Published in Journal of Web Engineering & Technology · Vol. 4, Issue 3, 2017 · pp. 11–18 Read article
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Design of Evaporator and Condenser for Solar Adsorption Refrigeration System
Abstract: Solar adsorption refrigeration systems provide a promising alternative for sustainable cooling in regions with limited grid access and high solar availability because they can convert low-grade thermal energy into refrigeration without mechanical compression. The performance of such systems depends strongly on the thermal behavior of the evaporator and condenser, since these components govern the refrigerant evaporation rate, condensation effectiveness, and overall cycle stability. This paper presents focus on the design …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 13, Issue 2, 2026 · pp. 1–10 Read article
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Polymer Nanocomposites and Functional Materials for Lithium-Ion Battery Supercapacitor Hybrid Energy Storage Systems: Materials, Interfaces, and Performance Perspectives
Abstract: The growing need for high-performance energy storage solutions in electric vehicles, renewable energy applications, portable electronics, and other sectors has accelerated research and development efforts in Lithium-Ion Battery–Supercapacitor Hybrid Energy Storage Systems (HESS). By combining the high energy density of lithium-ion batteries with the high power density and fast charge/discharge characteristics of supercapacitors, HESS offers a promising approach to meeting diverse energy storage requirements. Nevertheless, several critical challenges remain that …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 96–113 Read article
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Gene Edited Livestock for Enhanced Feed Efficiency and Metabolic Adaptation Through Precision Genomic Interventions
Abstract: Advances in gene editing technologies have transformed the landscape of livestock production by enabling precise manipulation of genetic material associated with productivity, health, and environmental adaptability. Tools such as CRISPR Cas9 and emerging next generation editors allow targeted modifications that improve feed efficiency, growth performance, nutrient utilization, and stress tolerance in farm animals. This review highlights the genetic basis of feed efficiency and metabolic regulation, focusing on key genes and …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 16, Issue 2, 2026 · pp. 1–10 Read article
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Section Cutting in Histopathology: An Update
Abstract: Histopathology is the microscopic examination of tissues to diagnose and study diseases, more significantly the diagnosis of cancer. It plays a pivotal role in modern medicine, serving as the gold standard for definitive diagnosis in a wide range of conditions. Through meticulous analysis of tissue morphology (structure) and cellular characteristics, histopathology provides crucial information for disease classification, staging, and guiding patient management. In the world of histopathology, where microscopic details …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 1, 2024 · pp. 29–34 Read article
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Host-Microbiota Crosstalk in the Rumen: Signaling Pathways for Nutrient Metabolism and Disease Resilience in Dairy Cows
Abstract: The rumen serves as a highly intricate microbial ecosystem, fundamentally responsible for the degradation of fibrous plant materials in ruminant. The intricate host-microbiota crosstalk within the rumen significantly influences nutrient metabolism, growth, and health outcomes in livestock. The interaction between the host and its microbial community, mediated through signaling pathways including the production of short-chain fatty acids (SCFAs), bile acids, and various metabolites, is crucial for enhancing nutrient absorption, fermentation …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 15, Issue 1, 2025 · pp. 29–41 Read article
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Molecular Pharmacokinetics and Structural Docking of Phenolic Acids for Targeting NF-κB Pathway Components in Inflammation and Fibrosis: A Computational Approach Toward Therapeutic Discovery
Abstract: Inflammation and Fibrosis are critical pathological processes associated with various chronic diseases, often mediated by the nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) signaling pathway. This study investigates the therapeutic potential of phenolic acids as modulators of the NF-κB pathway, aiming to identify novel ligands that can effectively interact with key components of this signaling cascade. A comprehensive computational approach was employed, utilizing molecular docking, pharmacological screening, and post-docking …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 3, Issue 1, 2025 · pp. 14–31 Read article
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Modified Genetic Algorithm for Performing the Regression Testing
Abstract: AbstractIt states simply what work Software Testing is an approach where deferent errors and bugs in the software are identified. To test software we need the test cases. One of the mainly imperative activities in software maintenance is Regression Testing. The re-execution of all test cases throughout the regression testing is expensive and time consuming. And even though several of the code based planned techniques by researchers address technical programs. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 69–75 Read article
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Nanostructured Catalysts for Sustainable CO2 Reduction: Advancing Green Chemistry and Polymer Composites
Abstract: This study provides a comprehensive analysis of advanced nanostructured catalysts designed to enhance the efficiency of artificial photosynthesis for sustainable fuel production. We systematically evaluated a range of nanomaterials—including metal oxides, plasmonic nanoparticles, and carbon-based composites—to determine their effectiveness in converting solar energy into storable chemical fuels. The catalysts were synthesized via sol-gel, hydrothermal, and green methods, and their properties were thoroughly characterized using XRD, SEM, TEM, UV-Vis spectroscopy, and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 175–181 Read article
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Evaluating the Effect of the EGR Rate on the Performance and the Emission of VCR Engine Operating on Jatropha Biodiesel Blends
Abstract: AbstractThe modern diesel engines running on biodiesel employ many techniques to encounter strict exhaust emission norms. Among the many techniques suggested to mitigate the NOX emission from the compression ignition engine, the Exhaust Gas Recirculation (EGR) system is being employed extensively. The EGR curtails the proportion of the oxygen in the mixture and lowers the flame temperature inside the cylinder. This research is intended to investigate the influence of the …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 9, Issue 1, 2018 · pp. 7–14 Read article
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AI-Assisted Kinetic Modeling of PLA Hydrolysis Under Subcritical Water Conditions for Sustainable Polymer Recycling
Abstract: The accumulation of poly (lactic acid) (PLA) in terrestrial and marine ecosystems has intensified the demand for closed-loop, green recycling technologies. Subcritical water (SCW) hydrolysis offers a promising, catalyst-free pathway for the rapid depolymerization of PLA into its constituent monomer, lactic acid. However, the complex, highly non-linear kinetics governing macro-molecular degradation under variable hydrothermal conditions limit real-time process optimization and industrial scalability. This study develops a novel artificial intelligence (AI)-assisted …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 2, 2026 · pp. 65–74 Read article
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Advancements in Antiviral Therapeutics: Strategies and Challenges in the Development of Drugs and Vaccines for Viral Diseases
Abstract: Viral infections continue to pose a significant threat to global health, leading to high rates of illness, death, and economic burden. The constantly evolving nature of viruses, along with the rise of drug-resistant strains, underscores the need for continuous advancements in antiviral treatments. This review highlights the pivotal role of antiviral drugs and vaccines in mitigating the impact of viral infections, showcasing recent breakthroughs and exploring emerging technologies. Key advancements …
Published in International Journal of Virus Studies · Vol. 1, Issue 1, 2024 · pp. 32–36 Read article
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A Review: Application of Ant Algorithm in Transport Network Design Problems
Abstract: A dependable and reliable information source for transportation route planning and ready response to traveler demand, have become a hot topic of research these days. Transportation route planning, analysis and processing of traveler demand are among most important factors affecting response to traveler demand. Because of highly dynamic networks and frequent discontinuity, it is desirable to establish routes for fast delivery of people and goods, having a low probability of …
Published in Trends in Transport Engineering and Applications · Vol. 3, Issue 3, 2016 · pp. 17–22 Read article
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Novel Strategic Framework between Polymer Manufacturers and Waste Management Companies: A Mixed-Method Approach for Enhancing Circular Efficiency in Polymer Industries
Abstract: The study describes the perspectives of the industry stakeholders and qualitatively and quantitatively assesses the recycling efficiency, cost optimization, and environmental performance using a mixed-method approach. The framework features processes, as it were: onboard invention, coupling, and sustainable valorization of the intersection, thus solidly connecting the production side with the waste management. The primary function of the patterns of interaction between the plant waste-management system, the retrieval of polymer composites, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1570–1609 Read article
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Signal Feature Extraction and Machine Learning Techniques for Human Activity Recognition
Abstract: Human Activity Recognition (HAR) has emerged as a critical field of study with diverse applications in healthcare, fitness tracking, smart homes, and human-computer interaction. The aim of this research is to create an efficient HAR system through advanced techniques characterized by signal feature extraction and machine learning algorithms. The MEMS sensors are used appropriately during data mining to extract time-domain, frequency-domain, and statistical features, which are subsequently passed to the …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 1, 2025 · pp. 24–41 Read article
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Utilization of Treated Textile Dyeing Wastewater and GGBFS–Perlite Blends for Sustainable Cementitious Composite Development
Abstract: The increasing global demand for concrete critically intensifies the consumption of potable water, raising significant environmental concerns and depleting vital resources. Concurrently, the textile dyeing industry generates substantial volumes of wastewater, posing considerable disposal and pollution challenges. Our investigation explores a dual solution by utilizing treated textile dyeing wastewater as an alternative mixing water source, combined with ground granulated blast furnace slag (GGBFS) and perlite as supplementary cementitious materials (SCMs), …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 291–300 Read article
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Taxonomic Assessment of Thermostable Amylase Producer from the Unkeshwar Hot Spring, Nanded
Abstract: Total 42 thermophiles were isolated from the Unkeshwar hot spring of Maharashtra, India. Of these 23 thermostable amylase producers were identified as Bacillus alvei APP1, Bacillus brevis APP2, Bacillus sterothermophilus APP3, Bacillus subtilis APP4, Bacillus farraginis APP5, Bacillus firmus APP6, Bacillus licheniformis APP7, Bacillus megaterium APP8, Lysinibacillus sphaericus APP10, Paenibacillus alvei APP11, Bacillus simplex APP12, Staphylococcus cohnii APP15, Streptococcus thermophilus APP16, Bacillus cereus APP18, Bacillus atrophaeus APP19, Bacillus lentus APP24, …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 9, Issue 1, 2019 · pp. 113–126 Read article
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Thermally Adaptive Bio-Inspired VLSI Interconnect Model for Next-Generation Embedded Systems
Abstract: The increasing complexity of next-generation embedded systems has intensified the challenges associated with power dissipation, thermal instability, signal integrity, and interconnect reliability in Very Large- Scale Integration (VLSI) architectures. This research proposes a thermally adaptive bio-inspired VLSI interconnect model designed to enhance communication efficiency and thermal resilience in advanced embedded platforms. The proposed model integrates bio-inspired adaptive routing principles with dynamic thermal-aware interconnect management to optimize data transmission under varying …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 2, 2026 · pp. 1–11 Read article
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From Quantum Chemistry to Bioprocess Intensification: Advanced Computational Modeling and Enzyme-Based Catalytic Platforms for Green Chemical Transformations
Abstract: Green chemistry requires the development of sustainable catalytic systems that minimize waste generation, reduce energy consumption, and improve process efficiency. Computational chemistry and biocatalysis have emerged as complementary approaches for environmentally responsible chemical manufacturing. Computational techniques such as quantum chemistry, density functional theory (DFT), molecular dynamics, and machine learning provide mechanistic insights into catalytic reactions and support the rational design of efficient catalysts. These approaches enable the prediction of reaction …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 2, 2026 · pp. 45–52 Read article
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The Art of Drug Design and Process Chemistry
Abstract: The creation of safe and efficient medications depends heavily on the art of drug design and process chemistry. This multidisciplinary discipline designs and optimizes drug candidates for therapeutic uses by fusing the concepts of biology, chemistry, and engineering. Researchers can develop compounds with pharmacological activity by using logical drug design techniques if they have a thorough understanding of the molecular targets implicated in disease pathways. By making it easier to …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 1, 2025 · pp. 1–10 Read article