Results 101 to 110 of about 627,098 (355)
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 +5 more
wiley +1 more source
Sooty blotch of apple: Efficacy of different application strategies [PDF]
Sooty blotch causes heavy losses in Lake Constance organic apple production. In the last five years research has been done at the research station for fruit growing (Kompetenzzentrum Obstbau – Bodensee) on strategies to control Sooty blotch on organic
Mayr, U., Späth, S.
core
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source
The main okra (Abelmoschus esculentus L.) production areas in Japan are located in the warm southwestern region. The harvest period for Japanese okra includes the rainy and typhoon seasons.
Lime Sato, Mona Futami, Satoru Motoki
doaj +1 more source
Diagnosing nutrient limitations to lentil and chickpea in acid soils of Bangladesh [PDF]
Lentil and chickpea are dietary staple crops in Bangladesh but their local production has been markedly declining in recent decades, mainly due to competition with irrigated cereals.
Begum, R. +5 more
core +1 more source
We analyze a timed Petri net model of an emergency call center which processes calls with different levels of priority. The counter variables of the Petri net represent the cumulated number of events as a function of time.
B Bérard +6 more
core +3 more sources
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Background Swedish public healthcare is increasingly characterised by a growing administrative layer and complex governance structures. While administrative personnel have grown in numbers, their coordination and integration with core clinical operations
Ingrid Svensson
doaj +1 more source
Impact of dolomite lime on the ground vegetation and on potential net N transformations in Norway spruce (Picea abies (L.) Karst.) and sessile oak (Quercus petraea (Matt.) Lieb.) stands in the Belgian Ardenne [PDF]
Jean-François Dulière +4 more
openalex +1 more source

