Results 221 to 230 of about 186,042 (329)

Extralevator Abdominoperineal Excision Improves Overall Survival Compared to Standard Abdominoperineal Excision: A Systematic Review and Meta‐Analysis

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
This systematic review and meta‐analysis of 38 studies, encompassing over 5000 patients, compared extralevator abdominoperineal excision (ELAPE) with standard abdominoperineal excision (APE) in patients with advanced low rectal cancer. ELAPE was associated with significantly improved overall and disease‐free survival, reduced intraoperative perforation
Sarolta Beáta Kávási   +7 more
wiley   +1 more source

AI in chemical engineering: From promise to practice

open access: yesAIChE Journal, EarlyView.
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

Adapting the deliberative democracy approach to LMIC settings: a case study in Nigeria. [PDF]

open access: yesFront Public Health
Gaydos LM   +11 more
europepmc   +1 more source

Clinical utility of pharyngeal high‐resolution manometry with impedance for upper esophageal sphincter dysfunction in gastroenterology

open access: yesAdvances in Digestive Medicine, EarlyView.
Abstract Pharyngeal high‐resolution manometry with impedance (P‐HRM‐I) is an established assessment method used to evaluate pharyngeal swallowing. It provides precise quantification of swallowing biomechanics that enable the detection of alterations in swallowing physiology.
Mistyka Schar   +5 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

A community-based approach to ethical decision-making in artificial intelligence for health care. [PDF]

open access: yesJAMIA Open
Senghor AS   +7 more
europepmc   +1 more source

Citizens Jury in Kaposvár [PDF]

open access: yes, 2009
Király, Gábor, Várnagy, Réka
core  

Home - About - Disclaimer - Privacy