Results 221 to 230 of about 636,797 (344)

Regional Differences in U.S. Consumer Preferences for Native Woody Shrubs With Varying Aesthetic Characteristics

open access: yesAgribusiness, EarlyView.
ABSTRACT Native plants offer a variety of aesthetic (e.g., fall colour, fruit, flowers) and functional benefits (e.g., pollinator friendly, wildlife friendly, water management). How these benefits influence consumer choice and perceived value of native versus introduced plants is not well understood.
Alicia Rihn   +3 more
wiley   +1 more source

Comparison Between Upfront Surgery and Preoperative Chemotherapy for CY1P0 Gastric Cancer: A Japanese Sub‐Analysis of CONVO‐GC‐1

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Radical gastrectomy, followed by adjuvant chemotherapy has been a common practice in Japan for peritoneal lavage cytology‐positive (CY1) but peritoneal dissemination‐negative (P0) stage IV gastric cancer. This study aimed to clarify the differences in treatment outcomes between upfront surgery and preoperative chemotherapy, followed
Kenichiro Furukawa   +12 more
wiley   +1 more source

Changing concepts of working memory

open access: yesNature Neuroscience, 2014
W. Ma, M. Husain, P. Bays
semanticscholar   +1 more source

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

open access: yesAdvanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia   +3 more
wiley   +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

Engineering a heparin-mimetic biomaterial to promote tissue vascularization. [PDF]

open access: yesCommun Biol
Li L   +6 more
europepmc   +1 more source

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