Results 111 to 120 of about 25,607 (261)

Blockchain‐Based Smart Contracts in US Specialty Crop Marketing: Grower Preferences and Adoption Potential

open access: yesAgribusiness, EarlyView.
ABSTRACT Using survey and discrete choice experiment data, we examined US specialty crop growers' preferences for marketing contract attributes in the context of emerging blockchain‐based technologies and expanding traceability initiatives. Results show that farmers preferred traditional written contracts but might be willing to accept digital ...
Elizabeth Canales   +3 more
wiley   +1 more source

Application of Silicone Insulation System in Permanent Magnet Traction Motor

open access: yes机车电传动, 2018
To study the applicability of silicone insulation systems on permanent magnet traction motors, calculation of silicone insulation system life by accelerated aging and its application in permanent magnet traction motor were carried out. The results showed
ZHAO Anran   +3 more
doaj  

Value of Information of Improved Traceability in Fresh Produce Markets

open access: yesAgribusiness, EarlyView.
ABSTRACT Traceability plays an important role in promoting a safe food supply by fostering transparent information exchange along the food supply chain. New technological innovations have the potential to improve traceability outcomes, as greater transparency along the food supply chain can aid in pinpointing precise origins of the contamination ...
Kelsey Vourazeris   +2 more
wiley   +1 more source

Essential Updates 2024–2025: Surgical Strategy for Esophageal Cancer Toward a New Paradigm in the Era of Immunotherapy and Personalization

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
This review summarizes key advances from 2024 to 2025 that are reshaping esophageal cancer surgery toward a strategy‐oriented, personalized paradigm through the integration of immunotherapy, population aging, and intelligent technologies. Adjuvant nivolumab after neoadjuvant chemoradiotherapy remains the only perioperative approach with durable benefit,
Shuichiro Oya   +2 more
wiley   +1 more source

Artificial Intelligence–Based Surgical Phase Analysis Enables Objective Assessment of Surgeon Skill in Robotic Distal Gastrectomy: A Multicenter Study

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
ABSTRACT Aim Artificial intelligence (AI)–based surgical video analysis can automate time‐consuming manual assessments and enable objective characterization of surgical workflows. We aimed to construct a large, multicenter, fully annotated dataset of robotic distal gastrectomy (RDG) videos and evaluate the feasibility and performance of an AI model for
Masaru Komatsu   +8 more
wiley   +1 more source

Redefining the Role of Splenectomy in Scirrhous Gastric Cancer: Toward a Selective Multimodal Strategy

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
ABSTRACT Scirrhous gastric cancer, characterized by diffuse infiltration and a high propensity for peritoneal dissemination, remains one of the most aggressive subtypes of gastric cancer. Despite a relatively high incidence of splenic hilar lymph node (No. 10) metastasis, the oncologic benefit of splenectomy remains controversial, while its association
Tsutomu Hayashi, Takaki Yoshikawa
wiley   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

open access: yesAdvanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang   +3 more
wiley   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

open access: yesAdvanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin   +4 more
wiley   +1 more source

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