Results 181 to 190 of about 1,235,278 (391)

Laparoscopic Colorectal Surgery in the Era of Robotics: Evolution, Eclipse, or Equilibrium?

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
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

PENGARUH KREDIBILITAS PUBLIC RELATIONS TERHADAP NIAT BERINVESTASI PASAR MODAL YANG DIMEDIASI OLEH SIKAP CALON INVESTOR

open access: yesE-Jurnal Manajemen, 2017
This study aimed to determine the effect of public relations credibility on the intention to invest in the capital market, mediated by the attitude of potential investors.
Yohan Hardy Chandra, Ni Made Asti Aksari
doaj  

Dual process theory for information credibility in instagram account

open access: diamond, 2019
Ave Adriana Pinem   +3 more
openalex   +1 more source

Association Between Liver Function Grade and Post‐Hepatectomy Liver Failure in Patients With Hepatocellular Carcinoma: A Latent Class Analysis

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
We retrospectively analyzed clinical data from patients who underwent hepatectomy for hepatocellular carcinoma (HCC) using LCA‐based grading system. These findings provide a new risk stratification framework for the design of precision surgery to treat patients with HCC.
Ling Liu   +5 more
wiley   +1 more source

Implication degree and delay on recall of events: An experimental and HDV study.

open access: yesEuropean Journal of Psychology Applied to Legal Context, 2009
This paper has done an experiment to test the effect of both retention (immediate vs. delayed one week) and implication degree (neutral vs. involved perspectives) over accuracy and quality of a complex event memory.
Javier Aroztegui   +2 more
doaj  

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

opXRD: Open Experimental Powder X‐Ray Diffraction Database

open access: yesAdvanced Intelligent Discovery, EarlyView.
We introduce the Open Experimental Powder X‐ray Diffraction Database, the largest openly accessible collection of experimental powder diffractograms, comprising over 92,000 patterns collected across diverse material classes and experimental setups. Our ongoing effort aims to guide machine learning research toward fully automated analysis of pXRD data ...
Daniel Hollarek   +23 more
wiley   +1 more source

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