Results 201 to 210 of about 668,823 (341)

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

Neonatal Nurses' Perceptions and Objective Indices of Noise During Quiet Hours in the NICU. [PDF]

Adv Neonatal Care
Sugiura M, Shimizu J, Yano Y, Fujino M, Nakano T, Miyata M, Niinomi K.   +6 more
europepmc   +1 more source

Food Prices and Inflation Expectations in New Zealand

Agribusiness, EarlyView.
ABSTRACT Food prices are conspicuous, and spending on food constitutes a considerable share of household expenditure. In this study, we use partially identified Bayesian structural vector autoregression models to analyze the effects of food price shocks on core inflation and 1‐ and 5‐year inflation expectations in New Zealand.
Puneet Vatsa, Gabriel Pino, Alex Acheampong   +2 more
wiley   +1 more source

Explaining attractive and repulsive biases in the subjective visual vertical. [PDF]

PLoS Comput Biol
Glasauer S, Medendorp WP.
europepmc   +1 more source

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

Annals 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, Itaru Yasufuku, Hironori Ishigami, Masahiro Yura, Takanobu Yamada, Shigeaki Baba, Takeshi Kubota, Erina Nagai, Seito Fujibayashi, Mitsumasa Yoshida, Takahiro Kinoshita, Nobuhisa Matsuhashi, Masanori Terashima   +12 more
wiley   +1 more source

Motor Imagery and Action Observation in Breast Cancer Survivors: Protocol for a Randomized Controlled Trial.

JMIR Res Protoc
Arnal-Vallés MP, Soto-Ruiz N, Bays-Moneo AB, García-Vivar C, Escalada-Hernández P.   +4 more
europepmc   +1 more source

New records and ecological insights of <i>Spondylus limbatus</i> (Bivalvia, Spondylidae) from the Panamic Province. [PDF]

Biodivers Data J
Cotom-Nimatuj JA, Michel-Morfín JE, Bassey-Fallas G, Segovia J, Sharpe AE, Sandino O, Jiménez-Prado P, Jaramillo-Arango A, Mogollón-Ávila V, Gómez-Gastelum L, Esparza-López R, Lunniss R, Béarez P.   +12 more
europepmc   +1 more source

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

Advanced 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, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source

Safety and effectiveness of remote monitoring and prioritization of patients awaiting transcatheter aortic valve implantation: a propensity-matched prospective observational cohort study. [PDF]

Eur Heart J Digit Health
Kelshiker MA, Chhatwal K, Bachtiger P, Jin E, Mansell J, Molloy O, Tang MK, Pearse S, Bird J, March J, Robbins C, Nakhare S, Varnava A, Khamis R, Hartley A, Khawaja S, Ruparelia N, Hadjiloizou N, Sen S, Mikhail G, Malik IS, Peters NS.   +21 more
europepmc   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced 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, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source