Results 251 to 260 of about 3,999,163 (365)

A contribution to the knowledge of the variations of the tree frog Hylaregilla

, 1898
Frederick Cleveland Test
openalex   +2 more sources

Anisotropic Surface Microrollers for Endovascular Navigation: A Computational Analysis with a Case Study in Hepatic Perfusion

Advanced Theory and Simulations, EarlyView.
Computational fluid dynamics analyses assess the upstream locomotion performance of anisotropic microrollers with varying height‐to‐width ratios. Observing their successful upstream locomotion in veins, their performance in hepatic circulation is investigated for treating primary liver cancer.
Burak Arslan, Ugur Bozuyuk, Kıvanç Görgülü, Erdost Yildiz, Hakancan Ozturk, Lucia Liotta, Volker Heinemann, Hana Algül, Metin Sitti   +8 more
wiley   +1 more source

Studies on the Chemistry of the Living Bark of the Black Locust Tree in Relation to Frost Hardiness. IV. Effects of Ringing on Translocation, Protein Synthesis and the Development of Hardiness [PDF]

, 1953
D. Siminovitch, David Briggs
openalex   +1 more source

Accurate and Efficient Behavioral Modeling of GaN HEMTs Using An Optimized Light Gradient Boosting Machine

Advanced Theory and Simulations, EarlyView.
Machine Learning (ML) and optimization have permeated almost every aspect of engineering applications. Recent years have seen great traction toward ML‐based GaN HEMT modelling. However, ML‐based GaN HEMT models are mostly developed using variants of Artificial Neural Network (ANN).
Saddam Husain, Mohammad Hashmi, Fadhel M. Ghannouchi   +2 more
wiley   +1 more source

Effect of Thinning on Tree Differentiation, Productivity and Carbon Stocks of <i>Cryptomeria japonica</i> Plantations. [PDF]

Ecol Evol
Liu K, Chen B, Zhou P, Zhang B, Wang R, Wang C.   +5 more
europepmc   +1 more source

Gipsy moth tree-banding material : how to make, use, and apply it /

, 1920
C. W. Collins, C. E. Hood
openalex   +2 more sources

Trees and tree planting

, 1888
openaire   +5 more sources

Predicting Fiber Length Characteristics of Recycled Cotton and Cellulose Fiber Blends Using Machine Learning Models

Advanced Theory and Simulations, EarlyView.
This study explores machine learning‐driven prediction of fiber length characteristics in sustainable yarn blends made from recycled cotton and Lyocell. By analyzing empirical data through models like Random Forest and Gradient Boosting, and interpreting results with SHAP, key fiber length features from the Staple Diagram and Fibrogram are identified ...
Tuser Tirtha Biswas, Michael Will, Nawar Kadi   +2 more
wiley   +1 more source

Can Central Place Foraging Theory Predict Material Collection Behaviours of the Eurasian Beaver (<i>Castor fiber</i>)? [PDF]

Ecol Evol
Værøyvik A, Madden JR.
europepmc   +1 more source

THE GUANGO, OR RAIN TREE

, 1905

openalex   +1 more source