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1983 articles for “failure-prediction AUROC of 0.967” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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A New Separation Technique for Method, Development and Validation of Aclidinium Bromide and Formoterol Fumarate in Its Pure and Pharmaceutical Dosage Form by Using Rp-HPLC
Abstract: A new simple, precise, selective and accurate, a new method of development and validation using Rp-HPLC for the estimation of Aclidinium bromide and Formoterol Fumarate in its pure and pharmaceutical dosage form. Chromatogram was run through DIKMA Spursil, C18 segment (4.6×150 mm, 5µ0). Mobile phases contain 0.1% OPA: Acetonitrile (30:70) with the use of the 0.1% OPA buffer, stream rate of 1 ml/min and measured in 280 nm. The run …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 3, 2024 · pp. 18–36 Read article
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Proximate Composition and Nutritive Value of Red Seaweed (Rhodophyta) and Green Seaweed (Chlorophyta) as Livestock Feed
Abstract: Seaweeds have been recognized globally as the biological and ecologically potential sources of proteins, lipids, fibers, and minerals for livestock. The study was carried out for a period of 3 months from April to June 2023 in Saint Martin’s Island, Bangladesh, to explore the potentials of red seaweed (Rhodophyta) and green seaweed (Chlorophyta) as livestock feeds. Samples were collected from Saint Martin’s Island and analyzed for dry matter (DM), crude …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 13, Issue 3, 2024 · pp. 01–10 Read article
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Preserving Papaya Pulp with Potassium Metabisulfite: A Study on Prolonging Shelf Life
Abstract: Papaya is a highly perishable fruit with a shelf life of only 3 to 6 days under tropical conditions, leading to significant postharvest losses. This study aimed to preserve papaya pulp for subsequent use in product development .Pulp was extracted from “Indian Red Lady Variety” of papaya and treated with potassium metabisulphite (KMS) at concentrations of 500, 1000 and 1500 ppm. The treated pulp was stored at room and refrigerated …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 13, Issue 2, 2024 · pp. 06–14 Read article
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Eco-Friendly Tri-Layer Hybrid Composites: A Sustainable Approach to Polymer Matrix Materials
Abstract: In the current study, we explored the use of environmentally friendly natural fibers such as sisal, banana, and kevlar. These fibers were fabricated by hand lay-up technique, and their impact on tensile and dynamic properties was evaluated according to ASTM standards. The assessment was conducted under both dry and wet conditions, considering two different chemical dosage parameters for comparison. Additionally, the tri-layer fibers underwent two separate chemical treatments using 1% …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 195–205 Read article
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Microwave-Assisted Synthesis of Li₃Ba₂Gd₃(MoO₄)₈ Phosphors Doped with Pr³⁺ and Sm³⁺ for High-Performance Red Emission in LED Applications
Abstract: In this study, we report the successful synthesis of Li₃Ba₂Gd₃(MoO₄)₈ (RE³⁺ = Pr³⁺, Sm³⁺) phosphors using a novel, microwave-assisted solid-state reaction method at ambient temperature. The synthesis involved the use of analytical grade reagents including Lithium Nitrate (LiNO₃), Barium Nitrate, Gadolinium Nitrate (Gd(NO₃)₃·6H₂O), Ammonium Molybdate ((NH₄)₆Mo₇O₂₄·24H₂O), and high-purity oxides of Praseodymium (Pr₂O₃) and Samarium (Sm₂O₃). The reagents were mixed in stoichiometric ratios, ground thoroughly in a pestle and mortar, and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 18–32 Read article
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Simplified Solution to Analysis Risk Assessment of Reinforcement type Soil Wall Considering Seismic Waves with Uniform Surcharge
Abstract: Due to failure of reinforced soil wall in various country the various risk factor are associated to these failure. In the present pseudo-static analysis some risk factor analysis have been done by considering the seismic waves with uniform surcharge and also consider surcharge’s inertial behavior at risk factor of horizontal and vertical coefficients of accelerations at kh = 0.24, 0.36 and kv = 0.12, 0.18 taking into account. The earlier …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 452–458 Read article
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Influence of Nozzle Temperature, Nozzle Diameter, and Layer Height on Tensile and Hardness Characteristics of 3D Printed CF-PLA
Abstract: This research investigates the mechanical characterization of CF-PLA (Carbon Fiber-reinforced Polylactic Acid) composite material produced using Fused Deposition Modeling (FDM) technology. The study investigates the impact of different machine parameters, like nozzle temperature, nozzle diameter, and layer height, on the tensile property and hardness of CF-PLA specimens. A total of 27 samples were produced, each with different combinations of nozzle temperature (190°C, 200°C, and 210°C), nozzle diameter (0.4mm, 0.5mm, and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 674–681 Read article
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Physico-Chemical Assessment of River Benue to Determine Pollution Levels Using Chemometric Models.
Abstract: The effects of pollution on water have been reviewed. This study is aimed at determining the level of pollution of the River Benue, with the view of assessing its use as potable water. Different analytical techniques including titrimetry, gravimetry, potentiometry, and spectrophotometry were used for the study. The total hardness gave (22.28 mg/L and 41.87 mg/L) for dry and rainy season respectively. Electrical conductivity gave (91.35 mg/L and 54.10 mg/L) …
Published in International Journal of Pollution: Prevention & Control · Vol. 2, Issue 2, 2024 · pp. 43–76 Read article
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Utilization of Jackfruit as a Potential Supplement in Yoghurt and Evaluation of Its Nutritional and Commercial Aspects
Abstract: This study aimed to formulate fruit juice yoghurt by incorporating nutritious and flavorful jackfruit juice, known for its health benefits. Jackfruit juice was added at different levels (5%, 10%, and 15%) to yoghurt, and various chemical, microbiological, bioactive compounds, and sensory quality characteristics were analyzed. Statistical analysis revealed that panelist acceptability decreased with increasing fruit juice level. Among the samples, yoghurt with 10% jackfruit juice showed significantly different sensory characteristics …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 14, Issue 1, 2025 · pp. 1–14 Read article
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Exploring Antimalarial Activity of Chalcone Derivatives through QSAR
Abstract: Background: The core structure of chalcones contains a reactive α,β-unsaturated system within the aromatic rings, which plays a key role in mediating various biological effects. These effects include enzyme inhibition, anticancer activity, anti-inflammatory properties, as well as antibacterial, antifungal, antimalarial, antiprotozoal, and anti-filarial actions.Modifying the structure by introducing substituent groups to the aromatic ring can enhance potency, reduce toxicity, and expand their range of pharmacological actions.Methods: A total of twenty-seven …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 1–6 Read article
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An Overview of Artificially Generated Neural Networks Inside the Brain’s Structure in an Alzheimer’s Disease Patient
Abstract: Alzheimer’s disease produces significant neuronal loss, while the precise mechanisms and timing are yet unknown. Other types of cell death, such necroptosis, parthanatosis, ferroptosis, and cuproptosis, need further investigation. Based on brain images of people with mild cognitive impairment, this study assesses artificial neural networks (ANNs) used to diagnose and predict Alzheimer’s disease (AD). This research was conducted considering growing recognition among researchers and medical professionals regarding the importance of …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 2, 2025 Read article
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Role of Fatigue and Creep in Structural Damage: A Comprehensive Review
Abstract: Fatigue and creep are two critical degradation mechanisms that significantly influence the structural integrity and longevity of engineering materials. These phenomena arise due to different loading and environmental conditions but often coexist in various industrial applications, leading to severe material degradation over time. Fatigue primarily results from cyclic loading, where repeated stress variations induce microstructural damage and crack initiation, ultimately causing catastrophic failure. Conversely, creep occurs under sustained stress at …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 1, 2025 · pp. 22–26 Read article
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Analytical Technique Optimization and ICH-Directed Verification of a Reverse Phase HPLC Approach for Quantification of Bupropion Hydrochloride
Abstract: This method was developed for retention time, peak resolution and baseline response using Bupropion Hydrochloride under optimized conditions as validation. The method resulted in two well separated, well defined peaks, a minor peak at 7.5 minutes 12 mV and a main peak at 11.52 minutes 150 mV. At the same time, the baseline has remained stable during the chromatographic run and the fluctuations of noise are very small (0.5 ± …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 2, 2025 · pp. 47–54 Read article
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Dr. Somenath Dutta, Discoverer of Micro-RNA (MiRNA) Therapeutic to Prevent Harmful Zika Virus for Liver Cancer: A Scientometric Portrait
Abstract: Dr. Somenath Dutta allies Rahul is a global recognized scientist for his outstanding recent discovery of “miRNA therapeutics for the Zika virus” at the age of 26 years, which can be cured Liver Cancer and allied health problems due to Zika virus disease. This study covers his 12 publications in variety of forms including 07 journal articles (59%), 03 conference papers (25%), 01 dissertation, and 01-chapter paper during 2019-2024. All …
Published in International Journal of Virus Studies · Vol. 2, Issue 2, 2025 · pp. 22–36 Read article
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The Effect of Nature Connectedness on Cognitive Functions and Perceived Stress: A Gender-Based Analysis
Abstract: In today’s fast-paced world, young adults face increasing cognitive demands and heightened stress levels due to academic, professional, and social pressures. At the same time, modern lifestyles have ledto a decline in meaningful interactions with nature, which may impact both cognitive function and stressmanagement. The present study, entitled "The Effect of Nature Connectedness on Cognitive Functions and Perceived Stress: A Gender-Based Analysis," aimed to explore the effects of nature connectedness …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 1–9 Read article
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Temperature-Dependent Viscoelastic Response of Magnetorheological Grease with Varying Particle Shapes
Abstract: This study examines the effect of temperatures on the magnetic and rheological properties of magnetorheological greases (MRGs) comprised of different particle shapes, under oscillatory shear mode test. Two samples were prepared with 70 wt.% flake-shaped electrolytic iron particles (EIP) and spherical carbonyl iron particles (CIP) which dispersed in 30 wt.% lithium-based grease, separately. Respective to magnetic properties test, the vibrating sample magnetometry (VSM) revealed that MRG-EIP exhibited 11.4% higher magnetic …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 139–147 Read article
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A Study to Assess the Knowledge and Attitude on Artificial Intelligence in Health Care Among Nursing Students at a Selected Nursing College in Kuppam
Abstract: Background: Artificial Intelligence (AI) is rapidly gaining prominence in healthcare, holding the potential to revolutionize patient care and streamline administrative processes. However, the preparedness of future nursing professionals for this technological shift, particularly their knowledge and attitudes towards AI in healthcare, remains a critical yet under-investigated area. This study aimed to assess the knowledge and attitudes of nursing students towards AI in healthcare at a selected nursing college in Kuppam, …
Published in Journal of Nursing Science & Practice · Vol. 16, Issue 1, 2026 · pp. 17–23 Read article
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Agronomic Performance, Harvest Dynamics, and Oil Yield of Lemongrass Varieties in a Semi‐Arid Ecosystem: Effects of NPK Regime and Harvest Timing
Abstract: This study investigated the agronomic performance, biomass production, and essential oil yield of three lemongrass (Cymbopogon spp.) varieties (CKP-25, Krishna & Pragati) under varying NPK fertilization regimes and harvest timings in a semi-arid ecosystem. A split-plot factorial design with four nutrient levels (Control, 50%, 100%, and 150% of the recommended NPK dose) and two harvest stages (90 and 180 days after planting, DAP) was implemented. Results revealed that both NPK …
Published in Research & Reviews : Journal of Botany · Vol. 15, Issue 1, 2026 · pp. 8–21 Read article
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Combining Unstructured and Structured Clinical Data in a Hybrid Transformer Model to Enhance Cardiovascular Analytics and Clinical Decision- Making
Abstract: Since cardiovascular disease (CVD) continues to be a major global cause of morbidity and mortality, early and accurate risk prediction is essential for prompt intervention and individualized treatment. This study introduces a new hybrid transformer-based model that combines unstructured clinical narratives, structured data, and customized lifestyle characteristics. A comprehensive understanding of disease progression is made possible by the model's ability to capture contextual, temporal, and patient- specific insights through the …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 · pp. 30–37 Read article
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Data-Driven Energy Forecasting for Smart Homes: Ensemble Learning from IoT Meters and Relevance for Polymer-Composite Based Smart Infrastructure
Abstract: Reliable estimation of household electricity demand is relevant in creating efficiency in energy usage, optimization of the loads, and intelligent demand-side management in intelligent grid systems. This paper introduces a varied machine learning model that approaches residential electric consumption prediction using an assortment of ensemble regression boosts, including Linear Regression, Lasso Regression, Decision Tree Regressor, Random Forest, and Gradient Boosting, to predict residential electricity consumption environments on a time-series arrested …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 29–64 Read article