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1945 articles for “and analysis” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Machining-Induced Surface Integrity Optimization of High-Carbon Alloy Steel for Enhanced Polymer–Metal Composite Interface Performance
Abstract: The functional performance and structural reliability of polymer–metal hybrid composites are strongly influenced by the surface integrity of metallic substrates used for interfacial bonding and load transfer. In this context, machining-induced surface characteristics play a critical role in determining adhesion behavior, dimensional stability, and mechanical compatibility within composite architectures. The present study investigates the hard turning performance of a newly developed high-carbon alloy steel intended for composite-integrated structural applications, with …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1531–1546 Read article
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Identification of Hub Genes and Enriched Gene Ontology & Pathways in Idiopathic Pulmonary Fibrosis Through Bioinformatics Approaches
Abstract: Idiopathic Pulmonary Fibrosis (IPF) is a progressive interstitial lung disease marked by aberrant remodeling of lung tissue and excessive extracellular matrix deposition, ultimately leading to respiratory failure. Despite ongoing research, the molecular mechanisms underlying IPF remain incompletely understood. This research aims to uncover differentially expressed genes (DEGs) and related biological pathways through an integrated analysis of microarray data. Two publicly available datasets, GSE110147 and GSE53845, were obtained from the Gene …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 1, 2026 · pp. 1–13 Read article
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Path Lab-AI: An Autonomous Framework for Error-Free Histopathology Slide Interpretation
Abstract: Path Lab-AI represents a fully autonomous platform for the analysis of histopathology slides with circumscribed structures, designed to obtain highly accurate results using diagnostic methods and avoiding the usual limitations of standard microscopy-based pathology. Leveraging recent deep learning and whole slide image (WSI) analysis innovations, our system takes advantage of automated WSI ingestion along with pre-processing steps to account for staining variability, remove artifacts, and localize tissue from background. Such …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 1, 2026 · pp. 19–30 Read article
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A Study to Assess the Knowledge Regarding Pradhan Mantri Jan Arogya Yojana (PM-JAY) Among the General Public in a Tertiary Care Teaching Hospital, Kuppam
Abstract: Background: Ayushman Bharat, the flagship scheme of the Government of India, was launched to achieve Universal Health Coverage (UHC) as per the National Health Policy 2017. It aims to address healthcare needs comprehensively by transitioning from fragmented approaches toward a holistic system. Pradhan Mantri Jan Arogya Yojana (PM-JAY) is a pivotal component of this scheme, striving to achieve UHC by providing comprehensive healthcare services to underprivileged families. Assessing public awareness …
Published in International Journal of Community Health Nursing And Practices · Vol. 4, Issue 1, 2026 · pp. 1–6 Read article
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Assessing Urban Surface Runoff Management Using the SWAT Model, GIS, and the Rational Method: A Case Study of Karapakkam
Abstract: Urban surface runoff management encompasses strategies aimed at regulating rainwater flow, reducing urban flooding, enhancing groundwater recharge, and contributing to disaster risk mitigation for sustainable urban development. This study seeks to optimize surface runoff management in urban settings by using the soil and water assessment tool (SWAT) model integrated with geographic information systems (GIS) to minimize flood risks. The research focuses on the peak runoff in Karapakkam, a locality within …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 4, Issue 1, 2026 · pp. 37–48 Read article
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Integrating Social Perception and Economic Valuation for Riparian Zone Preservation: Evidence from Kiliti Watershed, Ethiopia
Abstract: Riparian zones play a crucial role in maintaining watershed health by providing ecosystem services such as water filtration, erosion control, biodiversity conservation, and aesthetic and cultural benefits to surrounding communities. Despite their importance, riparian areas in many developing countries are increasingly degraded due to agricultural expansion, grazing pressure, and settlement encroachment. This study integrates social perception analysis with economic valuation to assess riparian zone preservation in the Kiliti Watershed, Northwestern …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 4, Issue 1, 2026 · pp. 49–55 Read article
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Gamma Irradiation Effects on Structural and Optical Properties of PVA/Al₂O₃/TiC Polymer Nanocomposites for Optoelectronic Applications
Abstract: PVA/TiC/Al2O3 nanocomposite (PTA) films were successfully prepared via the solution casting method. The impact of high-dose gamma (γ) irradiation (30 kGy) on the structural and optical properties of PVA/TiC/Al2O3 nanocomposites was systematically explored using X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), and UV–Visible spectroscopy. XRD analysis confirmed the semi-crystalline nature of the nanocomposites, which was found to decrease upon incorporation of Al₂O₃ nanoparticles and exposure to …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 717–729 Read article
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Ethical Challenges in Natural Language Processing: A Comparative Study of Solutions Across Multiple Domains
Abstract: This comparative analysis investigates the ethical challenges associated with natural language processing (NLP) by reviewing and synthesizing insights from ten influential and widely cited publications in the field. As NLP technologies are increasingly integrated into domains such as healthcare, finance, education, and governance, ethical concerns related to algorithmic bias, data privacy, fairness, accountability, and system transparency have become more prominent. This paper systematically examines how different researchers conceptualize and address …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 1, 2026 · pp. 01–07 Read article
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High-Performance Carbon Nanotube-Reinforced Biodegradable Polymer Composites for Packaging
Abstract: The growing issues concerning the properties of petroleum-based plastics on the environment increased the demand for biodegradable alternatives and polylactic acid (PLA) is one of the most promising options available. However, its poor toughness, thermal resistance, and barrier properties limit broader applications in sustainable packaging. This study reports the fabrication and characterization of PLA-based nanocomposites reinforced with carbon nanotubes (CNTs) at varying loadings (0.1-2 wt.%). Structural analysis (FTIR, XRD) confirmed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 183–194 Read article
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Synthesis and Spectral Characterization of Complexes Tin(II) With 4-Nitrophenol
Abstract: Tin(II)4-nitrophenoxide complexes with the formulas SnCl(OC₆H₄NO₂-4) and Sn(OC₆H₄NO₂-4)₂ were prepared through the reaction of stannous chloride (SnCl₂) with 4-nitrophenol (HOC₆H₄NO₂-4) in 1:1 and 1:2 molar ratios, respectively. The reaction was performed in tetrahydrofuran (THF) with diethylamine serving as the base. The resulting compounds were characterized through elemental analysis, determination of molecular weight, molar conductance measurements, and spectroscopic methods including IR and ¹H NMR spectroscopy. Current investigations are directed toward assessing …
Published in International Journal of Advance in Molecular Engineering · Vol. 4, Issue 1, 2026 · pp. 22–26 Read article
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Nitrosamine Accumulation, Processing Variables, and Indigenous Plant Inhibitors in Nigerian Traditionally Processed Meats
Abstract: N-nitrosamines are classified as probable or possible human carcinogens by the International Agency for Research on Cancer. Carcinogenic N-nitrosamines — principally N-nitrosodimethylamine (NDMA) and N-nitrosodiethylamine (NDEA) — are formed in abundance during the preparation of widely consumed Nigerian traditional processed meats including suya, kilishi, and balangu. This original investigation combined a six geopolitical zone of Nigerian market survey with laboratory-controlled model system experiments, effects of processing parameters on N-Nitrosamine formation …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 1, 2026 · pp. 61–72 Read article
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Understanding of Research Bias in Herbal Medicine: A Comprehensive Review
Abstract: Background: The communication and generation of knowledge are central to research. In herbal medicine, with its deep historical roots, research must be methodologically rigorous and unbiased to validate traditional knowledge in modern contexts. Bias, defined as any tendency preventing objective evaluation of a research question, compromises validity and reliability. Objective: To highlight types of research bias in herbal medicine and discuss strategies for minimization to ensure credible and applicable findings. …
Published in Research & Reviews : Journal of Herbal Science · Vol. 15, Issue 1, 2026 · pp. 31–35 Read article
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Comparative Study of Structural and Optical Properties of Bismuth Ferrite Nanoparticles for Photovoltaic Applications Synthesized via Different Sol-Gel Methods
Abstract: Pure multiferroic bismuth ferrite (BiFeO3) nanoparticles were successfully synthesized using an energy-efficient, low-temperature sol-gel method, comparing two distinct approaches: auto-combustion and non-auto-combustion. To ensure phase stability, the precursor solution's pH was strictly maintained between 1 and 2 using ammonia solution (NH4OH), while ethylene glycol (C2H6O2) was employed as a chelating agent for the Fe3+ and Bi3+ cations. All samples underwent a final annealing process at 500 °C to promote crystallization. …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 1, 2026 · pp. 83–94 Read article
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Reactivity of Monochlorotetrakis2-Isopropylphenoxoniobium(V), [NbCl(OC6H4CH(CH3)2-2)4] towards Chelating Ligands
Abstract: The niobium(V) complexes with the formula [NbCl(OC₆H₄CH(CH₃)₂-2)₄] were successfully synthesized in high yields through the reaction of niobium pentachloride with four equivalent amounts of 2-isopropylphenol in carbon tetrachloride. The synthesized complexes were characterized and confirmed by elemental analysis, molar conductance measurements, infrared (IR) spectroscopy, ^1H and ^13C NMR spectroscopy, as well as mass spectrometric analysis. The spectroscopic studies have shown these to exhibit dimeric structures bridging through isopropylphenoxo groups. The …
Published in International Journal of Minerals · Vol. 3, Issue 1, 2026 · pp. 37–45 Read article
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Influence of Agricultural Waste Materials in Concrete: A Sustainable Approach
Abstract: Urbanization and resource depletion have intensified the need for sustainable alternatives to traditional construction materials. The concrete industry, a major contributor to environmental issues due to cement production, is turning to waste materials to mitigate its impact. This review paper focuses on the use of agricultural waste as a partial replacement for cement and aggregates in high-strength concrete (HSC), with an emphasis on its influence on both fresh and hardened …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 26–32 Read article
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House Price Estimation Using Linear Regression: A Machine Learning Perspective
Abstract: House price prediction plays a crucial role in the real estate industry, helping buyers, sellers, and investors make well-informed decisions. Accurate estimation of property values enables stakeholders to assess market trends, plan investments, and minimize financial risks. This study focuses on the application of linear regression, a fundamental and widely used machine learning algorithm, to predict house prices based on multiple influencing factors. These factors include location, property size, number …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 Read article
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A Review of Computational Methods for Image Restoration and Noise Reduction Using Reference Images
Abstract: Digital imaging systems play a vital role in numerous application domains, including consumer photography, biomedical imaging, remote sensing, aerial surveillance, and astronomical observation. Despite continuous advancements in imaging hardware and software, the visual data acquired by these systems often suffer from degradation caused by spatially non-uniform blur. This blur may arise due to several factors, such as lens imperfections, atmospheric turbulence, sensor limitations, motion between the camera and the scene, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 23–30 Read article
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Evaluating the Usability and Effectiveness of Desktop Voice Assistants on Windows Operating Systems
Abstract: This paper presents an in-depth empirical study of usability and effectiveness regarding the use of desktop voice assistants in Windows operating systems. While a lot of research has been done on mobile-based assistants like Siri and Google Assistant, or smart speaker platforms like Amazon Alexa, desktop-based assistants remain comparatively under-explored. A total of 176 participants were surveyed to analyze their experiences with DVA in usability, multitasking, accuracy, accessibility, and overall …
Published in Journal of Operating Systems Development & Trends · Vol. 13, Issue 1, 2026 Read article
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DFT/Data Guided Predictive Modelling of Absorption Maxima in the OLED Rubrene Derivatives
Abstract: This study investigates the optical properties of rubrene derivatives to develop an accurate predictive model for absorption maxima using computational chemistry and chemoinformatic techniques. We benchmarked various quantum chemical methods, identifying that the M06-2X/aug-cc-pVDZ method in dichloromethane (DCM) provided the strongest correlation with experimental data. Key molecular descriptors such as band gap, ionization potential, and electrophilicity index were calculated and analyzed using principal component analysis (PCA) to identify significant factors …
Published in International Journal of Cheminformatics · Vol. 4, Issue 1, 2026 · pp. 41–56 Read article
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A Cross-sectional Study to Analyse Level of Stress among Nursing Students of Christ College of Nursing, Jagdalpur, Chhattisgarh
Abstract: Nursing education combines rigorous academic training with demanding clinical responsibilities, exposing students to multiple stressors that may affect their psychological well-being, academic performance, and professional growth. Assessing stress levels and their association with socio-demographic variables is essential for developing effective support strategies. This study aimed to assess the level of stress among nursing students and determine its association with selected socio-demographic characteristics. A descriptive cross-sectional study was conducted among 150 …
Published in Journal of Nursing Science & Practice · Vol. 16, Issue 1, 2026 · pp. 1–10 Read article