Results 181 to 190 of about 301,294 (309)

First record of Penicilliopsis clavariiformis Solms. on seeds of Diospyros ferrea (Willd.) Bakh. from the Northern Western Ghats, India. [PDF]

Sci Rep
Bagam PH, Magdum AB, Shinde KV, Kumavat SS, Borde MY, Singh SK, Kamble SS, Nimbalkar MS.   +7 more
europepmc   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

Wild cucumber invasiveness: impact of seasonal changes on biometric seed traits and dispersal strategy. [PDF]

J Exp Bot
Dołkin-Lewko A, Baj P, Giedrowicz A, Jaroszewicz J, Zajączkowska U.   +4 more
europepmc   +1 more source

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

Advanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi, Kateryna Andriienkova, Tetyana Goldanova, Ezgi Antmen, Thibaut Soubrie, Nihal Engin Vrana   +5 more
wiley   +1 more source

Interannual Variation in Seed Traits of <i>Cedrela</i> Species: Implications for Conservation in the Context of Climate Change. [PDF]

Plants (Basel)
Galíndez G, Álvarez A, Ceccato D, Rivero V, Malagrina G, Bertuzzi T, Saravia P, Sola SN, Baskin CC, Fornes L.   +9 more
europepmc   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

Stage-Specific Responses to Warming in Trojan Fir Across Early Life Stages: Germination, Seedling Survival, and Seedling Growth. [PDF]

Ecol Evol
Usta N, Tavşanoğlu Ç.
europepmc   +1 more source

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

Advanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng, Sharon Ai Er Lam, Wei Chun Lim, Hannah Hui Min Toh, Shi Jun Ang   +4 more
wiley   +1 more source

Physical characterization of cotoneaster seeds to improve sorting efficiency. [PDF]

Sci Rep
Kaliniewicz Z, Markowski P, Anders A, Choszcz D.   +3 more
europepmc   +1 more source

Drivers of human elephant interactions in coffee agro-forestery landscapes in Kodagu (Western Ghats), India : An approch to understand the human-elephant conflict [PDF]

, 2008
Bal, Payal, Garcia, Claude A., Nath, Cheryl D.   +2 more
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