Results 141 to 150 of about 341,656 (302)

Material Strategies for Stimulation and Recording in Neural Biocomputing Platforms

Advanced Electronic Materials, EarlyView.
Material strategies enabling stimulation and recording are central to neural biocomputing systems. This review examines how electronic materials govern the encoding of inputs and decoding of outputs in living neural networks. Advances in electrical, optical, and multimodal interfaces highlight emerging design principles for biocomputing platforms ...
Sehong Kang, Junggeon Park, Aryaman Joshi, Rakid Haque, Gyu Weon Hwang, Hyunjoon Kong   +5 more
wiley   +1 more source

Foreign labor, peer‐networking and agricultural efficiency in the Italian dairy sector

Agribusiness, EarlyView.
Abstract While the presence of immigrants in the agricultural sector is widely acknowledged, the empirical evidence on its economic consequences is lacking, especially from a microeconomic perspective. Using the Farm Accountancy Data Network panel data for Italian dairy farms in the period 2008–2018, the present study investigates the relationship ...
Federico Antonioli, Simone Severini, Mauro Vigani   +2 more
wiley   +1 more source

Blunt Force Trauma in the Canarian Houbara Bustard (Chlamydotis undulata fuertaventurae) Produced by Collision with Overhead Lines. [PDF]

Vet Sci
Suárez-Santana CM, Marrero-Ponce L, Navarro-Sarmiento J, Rivero Herrera C, Grandía-Guzmán R, Colom-Rivero A, Quesada-Canales Ó, Sierra E, Fernández A.   +8 more
europepmc   +1 more source

Drivers of Farmers' Contract Compliance Behavior: Evidence From a Case Study of Dangote Tomato Processing Plant in Northern Nigeria

Agribusiness, EarlyView.
ABSTRACT Contract farming is a viable strategy agribusinesses rely on to strengthen coordination across actors in the value chain. However, low contract compliance remains a significant setback to agribusinesses' contract performance in low‐ and middle‐income country context.
Umar Shehu Umar, Sanzidur Rahman, Giacomo Zanello   +2 more
wiley   +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

Repeatability of scapular motion tracking in individuals with high body mass index. [PDF]

Front Sports Act Living
Lang AE, Abiara S.
europepmc   +1 more source

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

Advanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang, Jiayi Tan, Qizhen Song, Tian Du, Jens Hauch, Christoph J. Brabec   +5 more
wiley   +1 more source

Mitigation of inductive coupling effects on buried pipelines using gradient control conductors of overhead line configuration and hippopotamus optimization algorithm. [PDF]

Sci Rep
Hachani K, Bachir B, Rabah D, Bessedik SA, El-Sehiemy RA.   +4 more
europepmc   +1 more source

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

Advanced Intelligent Discovery, EarlyView.
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour, Sara Soltanabadi Farshi, Tuanna Ozcan, Amir Mohammad Ketabchi, Alper Kiraz, Savas Tasoglu   +5 more
wiley   +1 more source

Using synthetic data for pretraining partial discharge detection in overhead transmission lines. [PDF]

Sci Rep
Klein L, Fulneček J, Kabot O, Dvorský J, Prokop L.   +4 more
europepmc   +1 more source