Results 141 to 150 of about 259,517 (255)
ABSTRACT This study sets out to investigate the prospects for raising oil palm output in sub‐Saharan Africa, particularly Ghana, without further expansion of cropland. Given global concerns about oil palm's role in deforestation and land use change, the focus is on enhancing productivity on existing farmlands.
Jacob Asravor +3 more
wiley +1 more source
Construction of a Feedback Comment Analysis Model for Evaluation of Endoscopic Surgical Skill
ABSTRACT Background Surgical education and skill assessments are important in improving surgical skills. However, instructors' comments tend to be complex and unorganized, with varying content and categories. This study aimed to develop a natural language processing (NLP) model to automatically classify feedback comments on surgical procedures and ...
Shusaku Iwai +7 more
wiley +1 more source
Meta Soft Prompting and Learning
Jen-Tzung Chien +3 more
doaj +1 more source
This study analyzed 58 503 laparoscopic right hemicolectomies for colon cancer in Japan between 2018 and 2022, comparing outcomes between male and female surgeons. No significant differences were found in surgical mortality or severe complications. Tailored surgical training programs for female surgeons may further enhance surgical outcomes.
Akihisa Matsuda +10 more
wiley +1 more source
Total Neoadjuvant Therapy for Rectal Cancer: Why Japan Says “Not Yet”
ABSTRACT Total neoadjuvant therapy (TNT) has rapidly gained global acceptance as a standard treatment for locally advanced rectal cancer (LARC). Supported by multiple phase III trials, TNT improves pathological complete response (pCR) rates, enhances systemic control, and expands opportunities for non‐operative management (NOM).
Kay Uehara +4 more
wiley +1 more source
Laparoscopic Colorectal Surgery in the Era of Robotics: Evolution, Eclipse, or Equilibrium?
ABSTRACT Minimally invasive colorectal surgery has undergone a remarkable transformation over the past three decades. Laparoscopy, once viewed with skepticism, is now firmly established as a standard approach, supported by robust randomized trials demonstrating oncologic safety and improved recovery compared to open surgery.
Amanjeet Singh +3 more
wiley +1 more source
Secure aggregation for heterogeneous enterprise data based on federated meta-learning. [PDF]
Yang C, Ma Y.
europepmc +1 more source
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
AutoXAI: a meta-learning approach for recommendation of explanation techniques. [PDF]
Shawi RE, Jamel L.
europepmc +1 more source
Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution
Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren +6 more
wiley +1 more source

