Results 121 to 130 of about 694,145 (292)

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

open access: yesAgribusiness, EarlyView.
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani   +3 more
wiley   +1 more source

For Our Information, January & February 1952, Vol. IV, no. 7-8 [PDF]

open access: yes, 1952
An official publication of the ILR School, Cornell University, “for the information of all faculty, staff and students.
ILR School, Cornell University
core   +1 more source

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

open access: yesAgribusiness, 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

Importance of Professional Competency of Extension Personnel

open access: yesInternational Journal of Current Microbiology and Applied Sciences, 2019
Manoher Saryam, Pooja Jena
openaire   +1 more source

For Our Information, July & August 1950, Vol. III, no. 1-2 [PDF]

open access: yes, 1950
An official publication of the ILR School, Cornell University, “for the information of all faculty, staff and students.
ILR School, Cornell University
core   +1 more source

Prospective Feasibility Study of Laparoscopic and Robotic Distal Gastrectomy for Advanced Gastric Cancer to Verify the Safety of Surgical Proximal Margins

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
ABSTRACT Ensuring an adequate surgical proximal margin (SPM) is crucial in radical gastrectomy for gastric cancer. However, the lack of tactile feedback in laparoscopic distal gastrectomy (LDG) and robotic distal gastrectomy (RDG) poses challenges in precisely determining tumor boundaries, particularly in advanced gastric cancer, where tumor ...
Rie Makuuchi   +9 more
wiley   +1 more source

Impact of Two‐Team Surgery on Short‐ and Long‐Term Outcomes of Transanal Total Mesorectal Excision for Rectal Cancer

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
This study investigated the impact of two‐team surgery on short‐ and long‐term outcomes of transanal total mesorectal excision for rectal cancer. Two‐team surgery has some advantages over one‐team surgery, such as shorter operation time, decreased estimated blood loss, increased number of lymph nodes dissected, and decreased positive distal margin ...
Nobuaki Hoshino   +13 more
wiley   +1 more source

Real‐World Data of Retroperitoneal Tumor Surgeries Performed by Gastroenterological Surgeons in Japan: Analysis Based on the National Clinical Database

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Retroperitoneal tumors (RPTs) are rare and anatomically complex neoplasms, for which surgery remains the mainstay of treatment. However, real‐world data on their surgical management in Japan have been limited. Objective To describe the clinical characteristics and short‐term outcomes of patients undergoing resection for RPTs in ...
Keisuke Kurimoto   +9 more
wiley   +1 more source

Clientele Served and Extension Functions Emphasized by the Extension Personnel of Extension Organizations

open access: yesInternational Journal of Current Microbiology and Applied Sciences, 2018
H.S. Sathish, D.M. Chandargi, V.B. Wali
openaire   +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

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