Results 101 to 110 of about 129,017 (253)

Short‐ and Long‐Term Outcomes of Open, Laparoscopic, and Robot‐Assisted Surgery for Rectal Cancer

Annals of Gastroenterological Surgery, EarlyView.
Robot‐assisted rectal resection demonstrated superior short and long‐term outcomes compared to laparoscopic and open approaches. ABSTRACT Background Robot‐assisted surgery has short‐term benefits in rectal cancer surgery; however, its long‐term advantages remain unclear. This study compared short‐ and long‐term outcomes of open, laparoscopic, and robot‐
Marie Hanaoka, Hiroyasu Kagawa, Ataru Igarashi, Hiroshi Yoshihara, Shinichi Yamauchi, Masanori Tokunaga, Lin Peng‐Lin, Minkyung Shin, Yusuke Kinugasa   +8 more
wiley   +1 more source

Using content validity index methodology for cross-cultural translation of a patient-reported outcome measure for head and neck cancer. [PDF]

Front Health Serv
Van Cleave JH, Guerra A, Liang E, Gutiérrez C, Karni RJ, Tsikis M, Nguyen GPC, Squires AP.   +7 more
europepmc   +1 more source

Mapping uncertainty using differentiable programming

AIChE Journal, EarlyView.
Abstract Uncertainty quantification (UQ) and propagation is a ubiquitous challenge in science, permeating our field in a general fashion, and its importance cannot be overstated. Recently, the commoditization of differentiable programming, motivated by the development of machine learning, has allowed easier access to tools for evaluating derivatives of
Victor Alves, Carl D. Laird, Fernando V. Lima, John R. Kitchin   +3 more
wiley   +1 more source

Complements and competitors: Examining technological co-diffusion and relatedness on a collaborative coding platform. [PDF]

PNAS Nexus
Sirianni AD, Morgan JH, Zöller N, Rogers KB, Schröder T.   +4 more
europepmc   +1 more source

In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR

Advanced Intelligent Discovery, EarlyView.
Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
wiley   +1 more source

Translation and validation of the polish version of the self-reported postural awareness scale in an adult sample. [PDF]

Front Psychol
Jankowicz-Szymańska A, Wódka K, Grochowska A, Stefanowicz-Kocoł A, Bilc MI, Anheyer D, Kozioł U, Cramer H, Sagan A.   +8 more
europepmc   +1 more source

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

Advanced 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

Translation and cultural adaptation of tools to assess diverse Asian American and Asian Canadian subgroups: The Asian Cohort for Alzheimer's Disease (ACAD) Study. [PDF]

Alzheimers Dement
Lee H, Tzuang M, Chow TW, Kang Y, Tee BL, Li C, Lam E, Gu Y, Lee S, Ho PC, Peavy G, Seo EH, Kim K, Tran B, Chae W, Nguyen D, Vo N, Dang D, Spat-Lemus J, Choi YB, Feldman H, Jun GR, Wang LS, Yu WH, Park VTM, Asian Cohort for Alzheimer's Disease Study.   +25 more
europepmc   +1 more source

Equivalence of formal semantics definition methods

Formal Aspects of Computing, 2005
Matthew J. A. Caswell
semanticscholar   +1 more source

Solving Data Overlapping Problem Using A Class‐Separable Extreme Learning Machine Auto‐Encoder

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The overlapping and imbalanced data in classification present key challenges. Class‐separable extreme learning machine auto‐encoding (CS‐ELM‐AE) is proposed, which is an enhancement of ELM‐AE that better handles overlapping data by clustering points from the same class together. Applying oversampling addresses imbalanced data.
Ekkarat Boonchieng, Wanchaloem Nadda
wiley   +1 more source