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116 articles for “variants”
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Polyurethane: Chemistry, Production, Applications, and Future Prospects—An Overview
Abstract: Polyurethane (PU), a class of versatile polymers, has emerged as one of the most significant materials in modern industry owing to its remarkable mechanical strength, elasticity, durability, and resistance to abrasion, chemicals, and environmental degradation. Its wide range of tunable properties has made PU indispensable across multiple sectors, including fashion, automotive, manufacturing, biomedical, coatings, and construction. This review emphasizes the diverse applications of polyurethane and explores how its unique chemistry …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 3, 2025 · pp. 17–25 Read article
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Hybrid Epoxy Composites with Areca and Abaca Fibers: Effect of Nano-SiO₂ on Mechanical Properties
Abstract: This study explores the fabrication and mechanical evaluation of sustainable epoxy-based hybrid composites reinforced with Areca fiber (ARF), Abaca fiber (ABF), and nano-silica (SiO₂). The composites were made using a hand layup process, maked five variants (S1–S5) with ARF content ranging from 0–40 wt% and nano-silica content from 0–8 wt%, while maintaining ABF as the primary reinforcement. Mechanical performance was assessed through tensile strength (TS), flexural strength (FS), and impact …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 606–613 Read article
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AI-Enabled Linear Regression Model for Spectroscopic Milk Adulteration Analysis
Abstract: Milk adulteration poses a serious threat to public health and quality assurance in the dairy industry. This requiring rapid, reliable, and non-destructive detection techniques. This study presents a linear regression-based analytical model for identifying and quantifying milk adulteration using spectroscopic data. Spectral measurements of milk samples, including both pure and adulterated variants were acquired using spectroscopic techniques at relevant wavelengths.Blending of other components in pure milk , is specifically called …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 15, Issue 1, 2026 · pp. 28–42 Read article
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Vaccines Through Time: Conventional Foundations and Next-Gen Innovations–Part 1
Abstract: Vaccination serves as a critical pillar of global public health, markedly decreasing infection rates and associated mortality. Traditional vaccine platforms such as live attenuated, inactivated, toxoid, and subunit vaccines have demonstrated effectiveness against pathogens like Mycobacterium tuberculosis and Plasmodium spp., yet they are constrained by antigenic variability, limited immune persistence, and complex production processes. Breakthroughs in synthetic biology, structural antigen design, and computational vaccinology have driven the development of advanced …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 16, Issue 1, 2026 · pp. 53–70 Read article
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STRUCTURAL–EPIGENOMIC ATLAS: CNV/SV- DRIVEN PROGNOSTIC REFINEMENT ACROSS CANCERS
Abstract: Structural genomic alterations, including copy number variations (CNVs) and structural variants (SVs), play a central role in cancer initiation and progression. These alterations extend beyond gene dosage effects and interact dynamically with epigenomic mechanisms such as DNA methylation, histone modifications, and three-dimensional chromatin organization. Recent pan-cancer studies have demonstrated that CNV burden and SV signatures reflect key oncogenic processes including chromothripsis, homologous recombination deficiency, enhancer hijacking, and extrachromosomal DNA (ecDNA) …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 4, Issue 1, 2026 Read article
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Integrative Structural-Functional Genomics of Fc and Fab: Precision Models for Monoclonal Antibody Stability and Anti-Aggregation Engineering
Abstract: Monoclonal antibodies (mAbs) represent the cornerstone of biotherapeutics, yet aggregation propensity compromises up to 50% of candidates during development, driven by Fab hypervariability and Fc vulnerabilities.(1,2) This review integrates functional genomics from OAS (4B+ sequences)(5) and structural databases (SAbDab: 10K+ structures)(6) with machine learning models achieving R=0.97 for SAP prediction.(11) We dissect biophysical mechanisms, benchmark predictive tools (DeepSP, ESM2), and engineering strategies (YTE, FW mutations) that enhance Tm by 5-10°C …
Published in International Journal of Molecular Biotechnological Research · Vol. 4, Issue 1, 2026 Read article
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Importance of Thesaurus in Natural Language Processing for Scholarly Data Extraction
Abstract: The exponential growth of scholarly literature needs advanced methods for efficient data extraction and knowledge discovery. Natural Language Processing (NLP) has emerged as a crucial technology in automating the analysis and organization of academic texts. Among various linguistic resources, thesauri serve as important tool for enhancing semantic understanding by providing structured vocabularies, synonyms, and hierarchical relationships between terms. This paper examines the importance of thesauri in enhancing NLP-based scholarly data …
Published in Emerging Trends in Languages · Vol. 3, Issue 1, 2026 · pp. 19–24 Read article
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Synergistic Effects of Hybridized Nano-Silica and Hemp Fiber Reinforcement on Bio-Epoxy Composites
Abstract: Natural fiber-reinforced bio-epoxy composites have become promising sustainable alternatives to conventional synthetic-fiber petroleum-based materials, but are often limited by low fiber-matrix interfacial bonding, low thermal stability, and high moisture absorption which limit their application in structural applications. These issues are discussed in this work, by carrying out a systematic investigation of the synergistic effects of the hybridization of nano-silica particles with alkali-treated hemp fibers in a bio-epoxy matrix the composites …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 214–228 Read article
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AI-Driven Pharmacogenomics and Precision Medicine: Future of Personalized Therapy
Abstract: Pharmacogenomics and artificial intelligence (AI) are emerging as important drivers of precision medicine, enabling healthcare systems to adopt individualized therapeutic approaches. Pharmacogenomics examines how genetic variations influence drug response, efficacy, metabolism, and toxicity, while AI provides advanced computational tools for analyzing complex genomic and clinical data. This review highlights the integration of AI-driven pharmacogenomics in personalized therapy and its potential to improve treatment outcomes. Machine learning, deep learning, natural language …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 2, 2026 · pp. 1–12 Read article
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Gastro Retentive Drug Target System: Its Needs, Advantages, Limitation and Approaches
Abstract: Background: Gastro retentive drug delivery systems (GRDDS) address limitations of oral therapy for drugs with poor solubility, instability at intestinal pH, or narrow absorption windows by prolonging gastric residence and increasing contact with the gastric mucosa. Objectives: To review GRDDS approaches—floating systems, mucoadhesive systems, and super porous hydrogels—with emphasis on formulation strategies and polymer–excipient selection to enhance gastric retention, modulate buoyancy/swelling/adhesion, and ultimately improve oral bioavailability and therapeutic outcomes for …
Published in Trends in Drug Delivery · Vol. 13, Issue 2, 2026 · pp. 47–58 Read article
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Passive Augmentation Studies in a Double Pipe Heat Exchanger with Ellipsoidal Dimples
Abstract: In this work, the numerical studies of heat transfer augmentation of a counter-current double pipe heat exchanger with ellipsoidal dimples (inward-facing, raised dimples) on the inner tube was performed using SOLIDWORKS software. The effect of dimple depth, dimple pitch and number of dimples/angles between two dimples on heat transfer was investigated at a constant volumetric flow rate of 4 LPM for hot (water) and cold (water) fluids. The effect of …
Published in Journal of Thermal Engineering and Applications · Vol. 13, Issue 2, 2026 Read article
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Neuro-Symbolic Agentic AI for Autonomous Scientific Discovery: Integrating Deep Reinforcement Learning, Quantum Simulation, and XAI-Audited LLM Hypothesis Generation in Drug Target Identification
Abstract: The exponential growth of multi-omics data and the increasing complexity of disease-associated protein interactomes have rendered conventional drug target identification pipelines computationally and epistemologically inadequate. This paper presents the Neuro-Symbolic Agentic AI for Scientific Discovery (NS-AASD) framework, a unified architecture that cohesively integrates deep reinforcement learning (DRL) exploration strategies, variational quantum simulation (VQS) of protein conformational dynamics, and XAI-audited large language model (LLM) hypothesis generation within an autonomous scientific discovery …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 15–24 Read article
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Thevenin and Norton Resistance Using Time Domain Analyses Using Spice Simulations
Abstract: Thevenin and Norton equivalent circuits are of interest to circuit simulation designers and researchers. For the Thevenin resistance and Norton conductance determination of a network with available circuit theorems, the substitution network theorem (applied to OrCAD, SPICE, and Pspice AD simulation project) is shown to be suitable with the SPICE/ Pspice circuit simulation software. Instead of the DC option, the transient analyses option of SPICE is used to determine Thevenin/Norton …
Published in Current Trends in Signal Processing · Vol. 13, Issue 2, 2023 · pp. 8–18 Read article
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Processing and Characterization of Ni2MnSn FSMA
Abstract: Among Ferromagnetic Shape Memory alloys (FSMAs), Ni2MnSn Heusler alloys owing to occurrence of large magnetic field induced strain (> 10%) along with other interesting properties like premartensitic transition, high transformation temperature, large magnetocaloric effect and low stress of twin variant rearrangement. The prominent challenges facing the design and utilization of these specialized alloys are a limited range of operating temperatures, phase transformations that have high sensitivity to variations in composition, …
Published in Journal of Materials & Metallurgical Engineering · Vol. 2, Issue 1-3, 2012 · pp. 154–159 Read article
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Photonic Design of Two Input XOR Gate at 50 Gbps Data Rate
Abstract: This manuscript explores the photonic design of two input XOR gate at 50 Gbps data rate. In the photonic circuit, each component exercised supports for the light wave propagation. The performance of optical XOR gate is alike to their digital variant. The key constituents utilized in designing of this photonic network are 2×2 optical coupler and semiconductor optical amplifier. The proposed design is executed by the igniting the nonlinear attributes …
Published in Journal of Microelectronics and Solid State Devices · Vol. 4, Issue 2, 2017 · pp. 32–39 Read article
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Evolutionary Particle Swarm Optimization (EPSO) based technique considering Voltage Stability Margin for Reactive Power Reserve Optimization
Abstract: Reactive power reserve and voltage stability are one of the important parameters required for proper operation of the electrical power system. Voltage stability covers a broad span of phenomena in power systems and its applications. Voltage stability is defined as ability of power system to assist fixed bearable potential at every single bus of the system under standard operating conditions and when put through to a disturbance. At any instant …
Published in Journal of Power Electronics and Power Systems · Vol. 11, Issue 2, 2021 · pp. 36–41 Read article
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Reliability Optimization of Radial Distribution Systems Considering Failure Rate and Repair Time Earmarking using Languid Particle Swarm Optimization (LPSO)
Abstract: In this paper a methodology for reliability improvement of radial distribution system by establishing optimal values of repair times and failure rates is considered. Objective function related to failure rates and repair times is been designed. Constraints are taken based on customer and energy based indices. Languid Particle Swarm Optimization (LPSO) a variant of Particle Swarm Optimization (PSO) has been used as optimization technique. The method is implemented on radial …
Published in Journal of Power Electronics and Power Systems · Vol. 12, Issue 1, 2022 · pp. 16–21 Read article
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Efficient Encoding And Decoding Block Turbo Codes
Abstract: A channel coding approach is performed to lower the noise and interference that erupted in the communication channel. There are indeed a myriad of alternative channel coding schemes that have been developed. Block and convolutional codes are the most prevalent. Turbo code is a new near-channel capacity error-correcting code that has been introduced recently. The information can be transmitted across the channel with a very low bit error rate using …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 9, Issue 1, 2022 · pp. 11–23 Read article
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Detailed Study of Working and Applications of FinFET Technology and Its Adaptability in Current Era
Abstract: The CMOS technology is following Moore’s law since almost 25 years. The scaling of CMOS transistor has increased packaging density, speed and decreased power dissipation in the integrated circuits. However, CMOS dimension when scaled to nanometer dimension, many physical barriers arise. In sub-100 nm scale, MOSFET has new variants as SOI implementation and double gate. Keywords: Silicon on insulator (SOI), short channel effect (SCE) [2], buried oxide (BOX)
Published in Journal of VLSI Design Tools and Technology · Vol. 2, Issue 1-2-3, 2012 · pp. 52–58 Read article
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A Study On Mems Piezoresistive Pressure Sensor Design And Its Applications
Abstract: Easier and faster means of Pressure measurement is in utmost demand in Industries. MEMS piezoelectric pressure sensors can meet the claim due to its compactness and lightweight. The pressure measurement is purely application specific. The number of steps required to fabricate the MEMs sensor can be condensed if a proper selection of sensor is done. Based on the type of the piezoelectric materials used in the design, the shape of …
Published in Recent Trends in Electronics Communication Systems · Vol. 8, Issue 1, 2021 · pp. 18–23 Read article