Results 211 to 220 of about 495,115 (315)

Prognostic Value of Psoas Major Muscle Volume in Assessing Sarcopenia in Elderly Patients With Rectal Cancer

Annals of Gastroenterological Surgery, EarlyView.
This study investigates the prognostic utility of a novel volumetric indicator—psoas volume index (PVI)—for assessing sarcopenia in elderly rectal cancer patients. Sarcopenia classified by our proposed PVI cut‐off values was associated with poor nutritional and inflammatory status, and patients with low PVI showed significantly worse long‐term outcomes.
Gen Tsujio, Shoichi Manabe, Akio Shiomi, Yusuke Tanaka, Shunsuke Kasai, Tadahiro Kojima, Takahiro Igaki, Yukihiro Mori, Akifumi Notsu   +8 more
wiley   +1 more source

Transient modeling of extraction columns: Parameter estimation, uncertainty analysis, and operation optimization

AIChE Journal, EarlyView.
Abstract Despite extensive modeling efforts in extraction research, transient column models are rarely applied in industry due to concerns regarding parameter identifiability and model reliability. To address this, we analyzed uncertainty propagation from estimated parameters in a previously introduced column model and assessed identifiability via ill ...
Andreas Palmtag, Jannik Dohmen, Andreas Jupke   +2 more
wiley   +1 more source

Inverse Engineering of Mg Alloys Using Guided Oversampling and Semi‐Supervised Learning

Advanced Intelligent Discovery, EarlyView.
End‐to‐end design of engineering materials such as Mg alloys must include the properties, structure, and post‐synthesis processing methods. However, this is challenging when destructive mechanical testing is needed to annotate unseen data, and the processing methods for hypothetical alloys are unknown.
Amanda S. Barnard
wiley   +1 more source

Matrix of pairwise Euclidean distances between persistence landscapes across age groups.

Andy Domínguez-Monterroza (22766370), Alfonso Mateos Caballero (22766373), Antonio Jiménez-Martín (22766376)   +2 more
openalex   +1 more source

The continuing education on personal work values of general nurses working in hospitals of the Czech Republic: A Euclidean distance-based measure [PDF]

, 2017
Jiří Vévoda, Šárka Vévodová, Eva Prošková   +2 more
openalex   +1 more source

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

Advanced Intelligent Discovery, EarlyView.
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, Ajay Vikram Singh, Preeti Bhardwaj, Tulika Rai, Sweta Vijay Nakhale, Amruta Shelar, Rajendra Patil, Peter Laux, Andreas Luch, Christopher J. Osgood, Michael W. Stacey   +10 more
wiley   +1 more source

Hierarchical clustering of gut microbiota based on a Euclidean distance matrix across ethnicities and geographic locations, with age annotations.

Tanapon Seetaraso (19847626), Lucsame Gruneck (22230253), Vasana Jinatham (11816513), Sitanan Kantakat (22379033), Marie-Lou Albert (22379036), Phatthanaphong Therdtatha (5437757), Angkhana Inta (4536535), Metawee Srikummool (11226185), Jatupol Kampuansai (589980), Siam Popluechai (5437769)   +9 more
openalex   +1 more source

On the Error Rate Comparison of the Quadratic Discriminant Function, Euclidean Distance Classifier, Fisher’s Linear Discriminant Function and the Vine Copulas

, 2018
A. Nanthakumar
openalex   +2 more sources

An estimator of misclassification probability for multi-class Euclidean distance classifier in high-dimensional data [PDF]

, 2019
Hiroki Watanabe, Takashi Seo, Masashi Hyodo   +2 more
openalex   +1 more source

AI‐Enhanced Surface‐Enhanced Raman Scattering for Accurate and Sensitive Biomedical Sensing

Advanced Intelligent Discovery, EarlyView.
AI‐SERS advances spectral interpretation with greater precision and speed, enhancing molecular detection, biomedical analysis, and imaging. This review explores its essential contributions to biofluid analysis, disease identification, therapeutic agent evaluation, and high‐resolution biomedical imaging, aiding diagnostic decision‐making.
Seungki Lee, Rowoon Park, Ho Sang Jung
wiley   +1 more source