Results 231 to 240 of about 436,348 (295)
ABSTRACT Background Esophagectomy remains a highly invasive procedure associated with substantial postoperative morbidity. Pulmonary complications, anastomotic leakage, and in‐hospital mortality are of particular concern. Perioperative corticosteroids are often administered to attenuate excessive inflammatory responses; however, the clinical impact in ...
Tomohiko Yasuda +4 more
wiley +1 more source
Hydrogels for acne treatment: a systematic review and meta-analysis of clinical trials. [PDF]
Abunasser S +3 more
europepmc +1 more source
Abstract Bayesian estimation enables uncertainty quantification, but analytical implementation is often intractable. As an approximate approach, the Markov Chain Monte Carlo (MCMC) method is widely used, though it entails a high computational cost due to frequent evaluations of the likelihood function.
Tatsuki Maruchi +2 more
wiley +1 more source
Consolidation of multiple binary distillation columns for large heat duty savings
ABSTRACT The enormous scales of chemical and petrochemical plants present significant challenges in separating and purifying numerous mixed streams generated within a facility, as well as in achieving effective energy utilization and process intensification.
Parikshit S. Kadu, Rakesh Agrawal
wiley +1 more source
Gastric Polyposis Due to Foreign Bodies and <i>H. pylori</i> Infection: Case Report and Literature Review. [PDF]
Dănilă C +5 more
europepmc +1 more source
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod +10 more
wiley +1 more source
Comprehensive Analysis of Free BDPE Content in Commercial Hyaluronic Acid Fillers: Implications for Safety Assessment and Regulatory Standards. [PDF]
Kim CJ +7 more
europepmc +1 more source
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
Foraminal [<sup>18</sup>F]FDG Uptake on PET/MRI Is Associated with Radiculopathy and Symptom Reduction after Image-Guided Nerve Root Block. [PDF]
Kreutzinger V +8 more
europepmc +1 more source

