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1948 articles for “and yielded a damage-estimation R² of 0.946” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Estimation of Dolomite Resources in South Central Part of Anantapur District, Andhra Pradesh, India, Using Geospatial Techniques
Abstract: Dolomite CaMg (Co3)2, is the common rock forming mineral and composed of the carbonates of calcium and magnesium with an equivalent proportion. Dolomite is the primary integral of the sedimentary rock called dolostone and the metamorphic rock called as dolomitic marble. Our method is allowing to confidently determine the location and their boundaries of local geological structures that are likely to contain dolomite resources in the study area of Anantapur, …
Published in Journal of Remote Sensing & GIS Read article
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Socio-economic Study of Slum to Estimate Vulnerability In Order To Develop Proper Resettlement/Rehabilitation Process.
Abstract: About 900 million people, by the lowest estimations, are currently residing in urban slums. This figure rises to 1.6 billion when informal settlements of various forms are included. This amounts to roughly a quarter of the world's urban population. A sizable portion of India's urban population resides in slums. They encounter substantial barriers when accessing adequate housing and basic amenities (water, sanitation, social facilities, etc.). Government agencies’ attempts to address …
Published in International Journal of Urban Design and Development · Vol. 1, Issue 2, 2023 · pp. 33–46 Read article
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A Concurrent Estimation of Phytoconstituents Piperine, Quercetin and Kaempferol Present in Siddha Polyherbal Formulation Kabasara Kudineer by Rp-Hplc
Abstract: A straightforward, accurate, and precise technique was developed and validated for the simultaneous determination of Quercetin, Kaempferol, and Piperine in the polyherbal formulation Kabasura Kudineer. The sample was chromatographed using a C18 column (150x4.6mm, 5u) with a mobile phase composed of Acetonitrile and Ortho phosphoric acid in a 45:55 ratio, flowing through the column at a rate of 1ml/min. The detection wavelength for Quercetin, Kaempferol, and Piperine was set at …
Published in International Journal of Antibiotics · Vol. 1, Issue 1, 2024 · pp. 1–9 Read article
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Assessment of Finerenone Safety and Efficacy in Individuals with Type 2 Diabetes and Chronic Kidney Disease
Abstract: Background: In this work, we provide strong evidence for the safety and efficacy of finerenone in people with type 2 diabetes and chronic kidney disease. Our goal is to improve patients' quality of life and general well-being through our research. Aim: Finerenone exhibited a significant decrease in the likelihood of renal and cardiovascular (CV) events in individuals with both type 2 diabetes and chronic kidney disease. This exploratory subgroup analysis …
Published in International Journal of Antibiotics · Vol. 1, Issue 2, 2024 · pp. 06–09 Read article
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Effects of Gypsophila on Airway Inflammation in Guinea pig model of ovalbumin‐induced Asthma
Abstract: To look at how Gypsophlia (GSP) affects airway inflammation in a model of ovalbumin-induced asthma in guinea pigs (OVA).Methods: Using a random number table, sixty healthy female guinea pigs were split into six groups, each consisting of ten rats: the normal control, OVA, and GSP (0.45, 0.9, 1.8, and 3.6 g/kg). The ovalbumin and lipopolysaccharide sensitization approach was used to create the OVA guinea pig model. The GSP groups received …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 1, 2024 · pp. 17–23 Read article
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Comparative Study to Assess the Knowledge of Higher Secondary School Students Regarding Career Counselling in Selected Rural and Urban Schools of Kashmir
Abstract: Background: Career counseling assists individuals in choosing appropriate educational and occupational choices and making career options based on future employment demands and requirements. Career counseling comprises a wide variety of professional activities that assist people in overcoming career-related obstacles. Aim: The primary objective of the study was to evaluate the understanding of career counseling among students in chosen rural and urban high schools in Kashmir. Method: This study employed a …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 1, 2024 · pp. 11–18 Read article
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Silkworm Growth and Silk Yield under Changing Climatic Conditions: Challenges and Adaptations
Abstract: Climate change is emerging as a critical factor affecting agriculture and sericulture industries worldwide. Rising global temperatures, shifting rainfall patterns, and the growing frequency of extreme weather events present ever challenges to the growth and productivity of silkworms (Bombyx mori L.). Silkworms are extremely sensitive to environmental conditions like temperature, humidity, and photoperiod, all altered by climate change. Higher temperatures can accelerate silkworm metabolism, reduce silk yield, and increase susceptibility …
Published in International Journal of Insects · Vol. 1, Issue 2, 2024 · pp. 1–5 Read article
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AI and Machine Learning Approaches for Estimating Depression Severity: Techniques, Trends, and Applications
Abstract: Depression is a very common mental health disorder that results in a disorder of a person’s behavior, emotions, and cognitive abilities. Depression can be caused by environmental factors or hereditary factors. The person suffering from depression might have symptoms of suicidal thoughts, altering food patterns as well as sleeping issues. Depression is a global issue that has impacted millions of people globally having more effect on women worldwide. The complexity …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 3, 2024 · pp. 29–38 Read article
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The Role of Precision Agriculture in Enhancing Horticultural Crop Yields
Abstract: This article explores the quantification of lithium and mapping of mineral composition in crushed lithium ore utilizing two distinct calibration techniques with Laser-Induced Breakdown Spectroscopy (LIBS). Thirty samples from a pegmatite lithium deposit were analyzed, with representative mineral samples extracted, mixed with resin, and polished into disks. These disks underwent examination via an analyzer and an integrated mineral analyzer, facilitating mineral identification. The first calibration technique used empirical mineral chemistry …
Published in International Journal of Trends in Horticulture · Vol. 1, Issue 1, 2024 · pp. 18–23 Read article
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Comparative Study on the Growth and Yield of Ganoderma lucidium Mushroom Cultivated on African Peach (Nauclea diderrichii) and Bush Mango (Endospermum medullosum) Sawdust as Substrates
Abstract: This study was conducted to find out which substrate provides for the best artificial development of G. lucidium. Mango (Mangifera indica) leaves were added to the saw dusts of Nauclea diderrichii and Endospermum medullosum, which were both utilized as substrates for growing. The substrates were inoculated with Ganoderma spawn and then exposed and hydrated to start the fruiting process. Three replications of the process were carried out. It was observed …
Published in International Journal of Fungi · Vol. 2, Issue 1, 2025 · pp. 39–45 Read article
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Estimation of Soil Erosion Using GIS in Pune District, Maharashtra
Abstract: The Varandha Ghats pans approximately 14.62 km 2 , where changes in temperature, vegetation, topography, and soil characteristics are causing continuous soil erosion. Catchment heterogeneity and climatic variations cause spatial variability in hydrological processes. Differences in land use, soil type, topography, and rainfall patterns influence how water moves and accumulates across regions, resulting in diverse hydrological responses. This complexity challenges accurate modeling and effective water resource management strategies across variable …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 2, 2025 · pp. 26–33 Read article
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A Carbon Assessment Framework for the Estimation of Carbon Footprint by the Usage of Liquified Petroleum Gas
Abstract: Various higher educational universities around the globe have tried to compensate for their carbon footprints, and awareness of ecology and environmental responsibility have increased. The primary motive of this work is to provide a recent study about the carbon emission accounting of carbon emission in higher education and enhance the mitigation techniques. Carbon footprint can be measured by using various methodologies like input-output analysis, hybrid models, and life cycle assessments …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 15, Issue 3, 2025 · pp. 1–5 Read article
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Gene Editing in Dairy Cows: Advancing Milk Yield, Health, and Resilience for Sustainable Dairy Development
Abstract: Gene editing has emerged as a transformative tool in dairy science, offering unprecedented opportunities to enhance productivity, improve animal health, and bolster resilience against environmental challenges. This study explores the potential of gene editing technologies, including CRISPR-Cas9, in advancing milk yield, optimizing milk composition, and addressing genetic disorders in dairy cows. Specific applications include targeting genes associated with mastitis resistance, improving feed efficiency, and introducing heat tolerance traits to adapt …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 3, Issue 2, 2025 Read article
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Stability-Indicating Rp-Hplc Development and Validation for the Estimation of Lercanidipine Hydrochloride Content in Tablet Dosage Form
Abstract: A sensitive, stability-revealing, and easy reverse-phase high-performance liquid chromatographic (RP-HPLC) technique was developed and rationalized to be in a position to determine Lercanidipine hydrochloride in ingested dosing preparations. It was separated by chromatography on a C 18 column using a mobile phase containing 10 mM potassium dihydrogen phosphate buffer and methanol (20:80, v/v; pH 4.0) at a flow rate of 1.0 mL/min and UV detected at 258 nm. The retention …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 13, Issue 1, 2026 · pp. 17–26 Read article
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Bayesian Optimization–Driven Operating Parameter Tuning for Maximizing Methane Yield in Anaerobic Digestion
Abstract: To achieve maximum methane production in an anaerobic digestion (AD) process, a combination of various operational parameters must be tuned nonlinearly in the digestion ecosystem. The conventional trial and error optimization methods are slow, resource consuming, and in most instances, cannot model the intricate parameter interaction in biogas production. The current work introduces a Bayesian Optimization-based model to optimize the set of conditions to maximize the level of methane produced …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 1–8 Read article
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Design of an ArUco Marker-Guided Smart Trolley with Integrated Billing Estimation
Abstract: The growing adoption of automation in retail environments has increased the need for intelligent systems that improve user convenience and reduce manual effort. This paper presents the design and development of a human-following smart shopping trolley with an integrated automatic billing system based on computer vision. The proposed system employs ArUco marker–based human tracking to achieve reliable and real-time following behaviour. A Raspberry Pi serves as the central processing unit, …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 1, 2026 · pp. 55–65 Read article
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A Hybrid Multi-Physics Ensemble Deep Learning Framework for Simultaneous Prediction of Thermal and Electrical Conductivity in Functional Polymer-Based Nanocomposites
Abstract: Polymer-based nanocomposites have become promising materials for applications in energy storage, flexible electronics, biomedical devices, aerospace components, and advanced engineering because of their tunable thermal and electrical properties. Reliable prediction of these properties is essential for accelerating material design; however, existing analytical models and conventional machine learning techniques often fail to represent the complex interactions among filler characteristics, polymer matrices, processing conditions, and interfacial transport phenomena. This work presents HMEP-Net, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1062–1082 Read article
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Industrial Prognostics via Ensemble Machine Learning: An Uncertainty Aware Framework for RUL Estimation on NASA FD004 Telemetry
Abstract: Estimating the Remaining Useful Life (RUL) of industrial machinery in real-time is now vital for both operational safety and smart resource management. In the aviation industry, turbofan engines deal with constantly shifting flight conditions, making traditional, scheduled maintenance both expensive and prone to error. This paper addresses the flaws in common “point-prediction” AI models, which offer a single failure date without any margin for error, by introducing a new, uncertainty-aware …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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Dielectric Studies of 0.5Ba0.8Ca0.2TiO3.0.5CaCu3Ti4O12 Nanoceramic Fabricated by Chemo-mechanical Process
Abstract: The present investigation is aimed toward investigate a straightforward, inexpensive, and environmentally friendly chemo-mechanical method for preparing high-dielectric materials, specifically 0.5Ba0.8Ca0.2TiO3.0.5CaCu3Ti4O12 (BCT-CCTO), by combining metal nitrate combustion with solid TiO2 powder and titanium isopropoxide, Ti (OR)4. The composite was prepared by the mixing of individual materials of Ba0.8Ca0.2TiO3 and CaCu3Ti4O12 through the chemo-mechanical method. Initially, 99% pure Ba (NO3)3, Cu (NO3)2∙3H2O, TiO2 and glycine were taken in their stoichiometry ratios. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 12–21 Read article
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A Factorial Investigation of Hyperparameter Tuning Strategies for Lasso- Based Genomic Prediction
Abstract: In an earlier comparative study of machine-learning methods for genomic prediction of wheat grain yield, we reported a counter-intuitive result: automated nested-cross-validation tuning of the Lasso regularization penalty reduced mean predictive ability relative to a fixed, arbitrarily chosen penalty (mean Pearson r falling from 0.408 to 0.349 across four environments), the opposite of the expected effect of hyperparameter tuning. We hypothesized two possible explanations at the time — high-variance penalty …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 42–51 Read article