Results 221 to 230 of about 84,205 (286)

Farmers' Participation in Messenger‐Based Social Groups And Its Effects on Performance in Irrigated Areas of Kazakhstan and Uzbekistan

open access: yesAgribusiness, EarlyView.
ABSTRACT The penetration of information and communication technologies (ICTs) in farming communities is increasing the use of smartphone‐based instant messaging apps. Despite this, the reasons behind participation and the impact on farm productivity in developing countries remain unexplored.
Zafar Kurbanov   +4 more
wiley   +1 more source

The LHCb Sprucing and Analysis Productions. [PDF]

open access: yesComput Softw Big Sci
Abdelmotteleb A   +13 more
europepmc   +1 more source

Consumer Preferences for Craft Beer: The Interplay of Localness and Advertising Language

open access: yesAgribusiness, EarlyView.
ABSTRACT This study explores the influence of the language of the label, origin of production, and origin of brewing ingredients on Croatian consumers' preferences and willingness to pay for organic craft beer. Employing an online survey and a choice experiment among 223 Croatian alcohol consumers, we find that while there's a willingness to pay a ...
Marija Cerjak   +2 more
wiley   +1 more source

Tagging more quark jet flavours at FCC-ee at 91 GeV with a transformer-based neural network. [PDF]

open access: yesEur Phys J C Part Fields
Blekman F   +6 more
europepmc   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

HHH whitepaper. [PDF]

open access: yesEur Phys J C Part Fields
Abouabid H   +33 more
europepmc   +1 more source

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