Results 201 to 210 of about 648,061 (307)
Minimally invasive anatomic liver resection (AR) including major hepatectomy and liver parenchyma‐sparing AR is technically complex and demanding. This systematic review with meta‐analysis including 15 studies comparing 2042 robotic AR and 2129 laparoscopic AR patients demonstrated largely comparable perioperative outcomes and partly better outcomes ...
Yutaro Kato +3 more
wiley +1 more source
Positive sentiments in early academic literature on DeepSeek: a cross-disciplinary mini review. [PDF]
He Y, Giangan A, Vu N, Watters C.
europepmc +1 more source
ABSTRACT Background Esophagectomy remains a highly invasive procedure associated with substantial postoperative morbidity. Pulmonary complications, anastomotic leakage, and in‐hospital mortality are of particular concern. Perioperative corticosteroids are often administered to attenuate excessive inflammatory responses; however, the clinical impact in ...
Tomohiko Yasuda +4 more
wiley +1 more source
Exploring the pretraining effect in learning classical Chinese reading skills. [PDF]
Jiang D, Zhou J, Ma M, Kalyuga S.
europepmc +1 more source
Emergency cholecystectomy was evaluated in patients with acute cholecystitis classified as non‐recommended for surgery by the Tokyo Guidelines 2018. Major postoperative complications, rather than mortality, better reflected operative risk. Physiological instability, particularly ASA‐PS ≥ 3 and shock status, identified high‐risk patients, suggesting ...
Satoshi Mii +9 more
wiley +1 more source
AI in chemical engineering: From promise to practice
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
When motivation is not enough: the moderating role of social support in cross-cultural adaptability among Chinese students learning Arabic. [PDF]
Huang Y, Chen J.
europepmc +1 more source
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source

