Results 201 to 210 of about 5,031,588 (250)

Biological Resectability in Colorectal Liver Metastases: A Nomogram‐Based Continuous Risk Model to Define Borderline Disease

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
KRAS mutation demonstrated a prognostic impact according to primary tumor sidedness, independent of tumor morphology, in patients undergoing hepatectomy for colorectal liver metastases. A nomogram integrating biological and clinicopathological factors was developed to provide continuous biological risk assessment.
Yuzo Umeda   +9 more
wiley   +1 more source

Laparoscopic Surgery Is Associated With Reduced Small Bowel Obstruction Risk After Colorectal Cancer Surgery: A Nationwide Cohort Study of 5458 Patients

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Abbreviated Abstract This nationwide retrospective cohort study of 5458 colorectal cancer surgeries across 32 Japanese institutions examined the effects of laparoscopic surgery, adhesion prevention materials (APMs), and stoma creation on the 5‐year risk of small bowel obstruction (SBO).
Takeshi Yamada   +19 more
wiley   +1 more source

Cognitive Capacities as Functional Natural Kinds. [PDF]

open access: yesIntegr Psychol Behav Sci
García CL   +2 more
europepmc   +1 more source

pyDMS: A Python package for the determination of physics‐informed dual‐mode sorption (DMS) parameters

open access: yesAIChE Journal, EarlyView.
Abstract Sorption in glassy polymer membranes is commonly modeled with the dual‐mode sorption (DMS) model. Fitting the DMS model to sorption isotherms presents challenges, as multiple parameter sets may prove satisfactory. This work presents pyDMS, an open‐source Python package for the computation of DMS parameters obtained via a physics‐informed ...
Brandon C. Tapia   +4 more
wiley   +1 more source

Machine learning–driven design of catalytic processes for sulfur dioxide oxidation: Lessons from the trenches

open access: yesAIChE Journal, EarlyView.
Abstract Despite the growing use of ML in chemical engineering, the catalytic conversion of sulfur dioxide (SO2) to sulfur trioxide (SO3) remains underexplored from a data‐driven modeling perspective. This study evaluates an integrated workflow for literature‐derived SO2 oxidation data, combining data curation, preprocessing assessment, machine ...
Farough Agin   +2 more
wiley   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia   +1 more
wiley   +1 more source

Objective Bayesianism, Bayesian conditionalisation and voluntarism

open access: yesSynthese, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jon Williamson, Williamson, Jon
openaire   +2 more sources

Equivocation for the Objective Bayesian

open access: yesErkenntnis, 2014
According to Williamson (In defense of objective Bayesianism, Oxford University Press, Oxford, 2010), the difference between empirical subjective Bayesians and objective Bayesians is that, while both hold reasonable credence to be calibrated to evidence, the objectivist also takes such credence to be as equivocal as such calibration allows.
Masterton, George,, Lund University.
core   +3 more sources

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