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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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Green Pastures, Healthy Herd: The Intricate Interplay of Nutrition, Milk Yield, Reproduction, and Welfare in Dairy Cows
Abstract: The study explores the intricate interplay between green pastures, nutrition, milk yield, reproduction, and welfare in dairy cows, emphasizing the multifaceted benefits of pasture-based systems. Green grass serves as a natural, nutrient-rich feed source that supports optimal dairy cow performance by providing essential nutrients such as energy, proteins, vitamins, and minerals, which are crucial for high milk production. The natural grazing behavior associated with green pastures enhances rumen function, facilitating …
Published in Research & Reviews : Journal of Botany · Vol. 14, Issue 2, 2025 · pp. 51–66 Read article
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Biomimetic Approaches to Damage Tolerance: Lessons from Natural Materials
Abstract: Biomimicry has emerged as a powerful and innovative strategy for designing materials with enhanced damage tolerance by drawing inspiration from biological systems found in nature. Various natural materials, such as bone, nacre (mother-of-pearl), and spider silk, display exceptional mechanical properties, including high toughness, superior strength, and inherent self-healing capabilities. These remarkable attributes arise from their complex hierarchical architectures and adaptive mechanisms, which have been refined over millions of years through …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 1, 2025 · pp. 11–16 Read article
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Analytical Method Development and Validation for Simultaneous Estimation of Paracetamol and Piroxicam by UV Method
Abstract: A new establishment and validation of a simple, precise, accurate and cost effective UV-Visible spectrophotometric method was developed to estimate both Paracetamol and Piroxicam simultaneously in conjoined pharmaceutical dosage forms. This technique was founded on simultaneous equation method of absorbances recorded at 252.0 nm and 282.0 nm of Paracetamol and Piroxicam in methanol respectively and an isosbestic point could be observed at 265.0 nm. It showed very good linearity over …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 3, 2025 · pp. 14–21 Read article
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Advancements in Agricultural Forecasting: A Review of Machine Learning Based Crop Yield Prediction
Abstract: Agricultural productivity plays a critical role in global food security, and accurate crop yield prediction is essential for optimizing resource allocation and decision-making in farming. The rapid advancements in Machine Learning (ML) and Deep Learning(DL)have transformed agricultural forecasting, enabling data-driven approaches for crop prediction. This review paper provides a comprehensive analysis of various ML and DL techniques applied in crop yield forecast, highlighting the ineffectiveness, challenges, and future directions. The …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 32–38 Read article
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Temporal Shifts in Forage Quality: Stage of Maturity, Biomass Yield, Performance Matrix, and Ecosystem Responses
Abstract: Forage quality is a key determinant of livestock productivity and environmental sustainability, with its dynamics closely linked to the stage of maturity, biomass yield, and broader ecosystem interactions. This study explores the temporal shifts in forage quality throughout its growth cycle, emphasizing the effects of maturity on nutrient composition, digestibility, and overall biomass yield. The relationship between these factors and their impact on animal performance, including milk yield, growth, and …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 4, Issue 1, 2026 Read article
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Experimental Validation and Implementation Framework for Optimized Methane Yield Prediction in Anaerobic Digestion
Abstract: The correct validation and realistic application of optimized anaerobic digestion (AD) models are essential steps in transferring biogas production systems to real-life. This paper outlines an experimental validation and deployment pipeline of an AI-optimized model of the methane yield prediction model based on the application of more advanced machine learning and Bayesian optimization methods. Others The validated surrogate-assisted optimization model was tested with controlled laboratory-scale AD experiments at optimized operating …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 25–32 Read article
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High-Velocity Impact Response of CFRP and Hybrid Composites: A Comprehensive Review on Ballistic Resistance and Damage Mechanisms
Abstract: This review consolidates recent advances in the study of high-velocity impact response of carbon fiber reinforced polymer and hybrid composites. Carbon fiber reinforced polymer composites are widely applied in aerospace, automotive, and defense due to their high strength-to-weight ratio, stiffness, and durability. However, their susceptibility to impact damage such as delamination, matrix cracking, and fiber breakage limits their performance under dynamic loading. To overcome these challenges, researchers have explored reinforcement …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 100–122 Read article
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Experimental Exploration of Crack and Damage Dynamics of Hybrid FRP Nano Composites
Abstract: Fiber-reinforced polymer (FRP) composites have become essential materials in modern engineering structures because of their excellent strength-to-weight ratio, corrosion resistance, and adaptability in design. Among different fracture modes, Mode I interlaminar fracture where cracks propagate under tensile opening stresses is one of the most critical forms of damage in layered composites. Since delamination occurs within the matrix-rich regions between plies, improving the matrix properties plays a key role in enhancing …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 220–232 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 · pp. 21–29 Read article
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A Multivariate Adaptive Regression Splines Based Study of Soil Parameters and Their Impact on Onion Yield in Bhavnagar District
Abstract: Bhavnagar district is one of the prominent onion-growing areas in the Saurashtra region of Gujarat, encompassing key talukas such as Mahuva, Talaja, Ghogha, Jesar, and Palitana. Onion cultivation in the district is carried out across three distinct seasons: rabi, kharif, and late kharif with harvesting periods extending from April to May for the rabi crop and from October to March for the kharif and late kharif crops. The productivity of …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 53–64 Read article
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Data-Driven Digital Twin Model for Real-Time Strength Estimation in Polymeric Materials
Abstract: The real-time prediction of mechanical properties in polymeric materials is essential for ensuring quality, consistency, and operational efficiency in modern manufacturing systems. As industrial processes become increasingly complex, traditional trial-and-error approaches to material characterization are no longer sufficient to meet the demands of high-throughput production environments. This study introduces a digital twin-integrated machine learning approach for the real-time estimation of tensile strength in polymeric materials by combining simulation-driven insights with …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 246–257 Read article
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Effect of Skin Barrier Damage on Absorption and Action of Cosmeceuticals
Abstract: The skin acts as a primary defensive barrier protecting the human body against environmental aggressors, microbial invasion, and chemical exposure. The integrity of the skin barrier, particularly the stratum corneum, plays a crucial role in regulating the permeation of substances applied topically. Cosmeceuticals, a hybrid category between cosmetics and pharmaceuticals, are designed to deliver biologically active ingredients into the skin to exert therapeutic or beneficial effects. However, the condition of …
Published in Recent Trends in Cosmetics · Vol. 3, Issue 2, 2026 · pp. 1–19 Read article
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Morphological, Phenological and Yield assessment of Cosmic Yantras on Solanum lycopersicum L. and Pisum sativum L. crop plants under normal climatic conditions
Abstract: Vegetables are edible plants or parts of plants (roots, stems, leaves, flowers and seeds) that are consumed for their nutritional value. They are rich in vitamins, fiber and antioxidants. The study was conducted in cropping season (April to October 2024) to observe the comparative effect of cosmic yantras and organic manures on growth and morphology of Pisum sativum and Solanum lycopersicum under normal climatic conditions. The objective of this research …
Published in Research & Reviews : Journal of Botany · Vol. 15, Issue 2, 2026 · pp. 32–54 Read article
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The Estimation of Time-varying Parameters – A Malliavin Calculus Approach
Abstract: The Malliavin derivative of the Malliavin calculus is used to estimate the time-varying amplitudes that appear in the sum of signals or time-varying regression models. A closed form solution is obtained for the estimates of the time-varying amplitudes. The duality principle of the Malliavin calculus is then used to find a numerically tractable expression for the estimates. Given are examples and comparisons to existing methods.
Published in Current Trends in Signal Processing · Vol. 2, Issue 1-3, 2012 · pp. 93–105 Read article
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Liquidated Damages: The Perception of The Construction Industry
Abstract: There are several misconceptions about the term “liquidated damages” (LD) as many believe it is a penalty levied for delay or breach of contract. However, in a key judgement in a court it was presumed that LD is a sum payable upon breach and must be a genuine pre-estimate of the loss the innocent party would suffer in respect of the breach. If the intention of the LD is to …
Published in Journal of Construction Engineering, Technology & Management · Vol. 5, Issue 3, 2015 · pp. 59–67 Read article
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Risk Based Estimation in Construction Projects
Abstract: Final cost of a project is always subjected to many variables and assumptions. A single value estimate only represents one of the many possible conditions that can arise in the future. Hence a cost estimate should be represented as a range of values rather than a single value. Construction projects are complex project which involve many uncertainties. Uncertainties in activities can be a threat to the project objective or an …
Published in Journal of Construction Engineering, Technology & Management · Vol. 12, Issue 3, 2022 · pp. 24–36 Read article
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Virtual Instrumentation System for 3D Tilt Estimation of Moving Object using MEMS Multi-Sensor Fusion
Abstract: This paper considers the problem of 3D tilt estimation of moving object and development of virtual instrumentation (VI) based system prototype with motion-user interface using six degree of freedom data from MEMS accelerometer and gyroscope. To overcome the inherent limitations of both the sensors and minimize accelerometer noise error and gyroscope drift error, the sensor signals are fused using established Kalman filter and newer, simple and equally efficient complementary filter. …
Published in Journal of Control & Instrumentation · Vol. 7, Issue 3, 2016 · pp. 1–20 Read article
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Speed Estimator for Sensorless Field-Oriented Control Induction Motor Drive Using Intelligent Neural Networks
Abstract: This paper presents a novel approach to the field-oriented control (FOC) of induction motor drives. It discusses the introduction of artificial neural networks (ANNs) for decoupling control of induction motors using FOC principles. The neural network has been then designed and trained online by employing a back propagation network (BPN) algorithm. The estimator was designed and simulated in Matlab/Simulink. Simulation result shows a good performance of speed estimator. Simulation results …
Published in Journal of Control & Instrumentation · Vol. 6, Issue 3, 2015 · pp. 42–49 Read article
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LIFE ESTIMATION OF A PRE-CRACKED CRICKET BAT
Abstract: Cricket is a fascinating game that is played in many countries professionally. The cricket bat is equipment which is used to strike the ball. The ball is made up of leather whereas the bat is made of willow wood. The performance and the life of a bat are hampered in presence of a crack as the crack propagates leading to failure. In this paper, a Kashmir willow bat with a …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 1, 2018 · pp. 48–55 Read article
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Soft Sensor for Estimation and Identification of Reduced Dimensional Quality Control Inputs
Abstract: AbstractAdvances in instrumentation technology have equipped us with better process controlling set-ups for error detection and control that occurs in the industrial process plants. This in turn generates a large amount of data that is not always information rich. Additional sensor like a soft sensor can be used to modify the sensor to generate information rich data. Soft sensor are computational models that aid in the continuous or partial estimation …
Published in Journal of Instrumentation Technology & Innovations · Vol. 7, Issue 3, 2017 · pp. 24–29 Read article