Results 71 to 80 of about 170,987 (266)

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Linear-Graph GP - A New GP Structure [PDF]

, 2002
In recent years different genetic programming (GP) structures have emerged. Today, the basic forms of representation for genetic programs are tree, linear and graphstructures. In this contribution we introduce a new kind of GP structure which we call linear-graph. This is a further development to the linear-tree structure that we developed earlier.
Wolfgang Kantschik, Wolfgang Banzhaf
openaire   +1 more source

The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry

Agribusiness, EarlyView.
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley   +1 more source

Is Precision Agriculture Technology Adoption Persistently Overestimated?

Agribusiness, EarlyView.
ABSTRACT Precision agriculture is sometimes assumed to diffuse steadily over time, and industry planning frequently extrapolates early adoption trends forward. This study evaluates the accuracy of such expectations by comparing agricultural input dealers' forecasts of future service offerings with the actual levels of offerings that dealerships ...
Trey Malone, Chad Fiechter, Zanliang Meng, James Lowenberg‐DeBoer, Bruce Erickson, Jay Akridge   +5 more
wiley   +1 more source

Impact of Digital Ability and Rice Technology Adoption on Rice Farming Performance in Benin

Agribusiness, EarlyView.
ABSTRACT This study examines the combined effects of digital ability and the adoption of various rice technologies among smallholder rice farmers, using GPS‐spatially matched data sources that include household surveys and a general census of rice value chain actors in Benin.
Landry Bellarmin Kassa, Takeshi Sakurai
wiley   +1 more source

GP training [PDF]

British Journal of General Practice, 2012
Robert, Richards, Paul, Gardner, Charlotte, Hart, Karen, Robinson, Laurie, Davies, Mike, Arthur, Peter, Bottomley, Richard, Thompson, Julia, Visick, Sheelin, Newton   +9 more
openaire   +2 more sources

Predicting the Efficacy of Adjuvant Chemotherapy Using Immuno‐Nutritional and Inflammatory Markers in Elderly Patients With Stage III Colorectal Cancer

Annals of Gastroenterological Surgery, EarlyView.
This study aimed to determine whether immuno‐nutritional and inflammatory markers could serve as predictors of the outcomes of postoperative adjuvant chemotherapy for stage III colorectal cancer in elderly patients. Postoperative lymphocyte‐to‐monocyte ratio and postoperative C‐reactive protein‐to‐albumin ratio accurately predicted the efficacy of ...
Tomoya Tago, Yasuyuki Takamizawa, Takeharu Kato, Hiroshi Nagata, Konosuke Moritani, Shunsuke Tsukamoto, Yukihide Kanemitsu   +6 more
wiley   +1 more source

Prediction of Long‐Term Prognosis in Patients With Hepatocellular Carcinoma Using the National Clinical Database Risk Calculator

Annals of Gastroenterological Surgery, EarlyView.
This study aimed to determine the value of the National Clinical Database (NCD) risk calculator in predicting surgical outcomes and long‐term prognosis in patients undergoing resection for hepatocellular carcinoma (HCC). We retrospectively analyzed data from 210 patients with HCC who underwent initial hepatic resection, assessing the relationship ...
Mariko Tsukagoshi, Kenichiro Araki, Norio Kubo, Takamichi Igarashi, Shunsuke Kawai, Kei Hagiwara, Kouki Hoshino, Ryo Muranushi, Ken Shirabe   +8 more
wiley   +1 more source

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Advanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 more
wiley   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source