Results 51 to 60 of about 279,195 (319)
ABSTRACT Nutritional information is very important in the food choices of consumers. However, when they are too scientific or technical, they have the potential to confuse consumers, resulting in information asymmetry and dissuading them from making beneficial choices.
Edeoba W. Edobor +3 more
wiley +1 more source
ABSTRACT In May 2020, China abruptly suspended imports from several major Australian beef processors, escalating a diplomatic dispute between the two countries. This trade measure disrupted one of the largest beef export relationships in the world almost overnight.
K. Aleks Schaefer, Youngjune Kim
wiley +1 more source
A Case of Staphylococcus aureus Septic Arthritis After COVID‐19 Vaccination
Septic arthritis is a serious medical emergency associated with high morbidity and mortality. A 49‐year‐old man with diabetes undergoing hemodialysis developed right shoulder pain and fever following his sixth dose of the COVID‐19 vaccine.
Mineto Ohta +4 more
doaj +1 more source
Since the events of last September, we have heard many questions about where our concerns and our responsibilities must lie in this new world transformed so dramatically early one autumn morning. The questions are many and the answers difficult. But one answer, particularly for us as physicians,
openaire +2 more sources
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
Two Cases of a Portal Annular Pancreas in Patients Undergoing Pancreaticoduodenectomy
Introduction: Portal annular pancreas (PAP) is a congenital anomaly resulting from aberrant fusion of the ventral and dorsal pancreatic buds around the portal vein (PV).
Mineto Ohta +5 more
doaj +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Background This study investigated the prevalence of presenteeism and its associated factors in employed patients undergoing maintenance hemodialysis (HD).
Aki Tabata +5 more
doaj +1 more source
Uncertainty‐Guided Selective Adaptation Enables Cross‐Platform Predictive Fluorescence Microscopy
Deep learning models often fail when transferred to new microscopes. A novel framework overcomes this by selectively adapting the early layers governing low‐level image statistics, while freezing deep layers that encode morphology. This uncertainty‐guided approach enables robust, label‐free virtual staining across diverse systems, democratizing ...
Kai‐Wen K. Yang +9 more
wiley +1 more source

