Results 211 to 220 of about 22,118,555 (377)

Bootstrap Conditions in a Model Field Theory [PDF]

, 1967
T. Muta
openalex   +1 more source

Increase in Pancreatoduodenectomy Volume at Mid‐Volume Facilities in the United States: A National Cancer Database Analysis

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background The annual number of pancreatoduodenectomies (PDs) in the United States has increased over the past decade, but the facility types driving this growth and whether outcomes have improved remain unclear. We aimed to identify characteristics of facilities with increasing PD volumes and assess national trends in centralization ...
Koichi Tomita, Naruhiko Ikoma
wiley   +1 more source

Comparative pharmacokinetics of voriconazole between elderly and young adult patients: a population pharmacokinetic study. [PDF]

J Pharm Policy Pract
Zaryab Zakria K, Usman M, Bilal H, Akbar Z, Hussain T, Ali M, Sattar A, Alvi I, Rasheed H, Zulfiqar S, Rehan Khan M, Zahid Mushtaq M.   +11 more
europepmc   +1 more source

Unsupervised model compression for multilayer bootstrap networks [PDF]

, 2015
Xiaolei Zhang
openalex   +1 more source

Assessing Model Selection Uncertainty Using a Bootstrap Approach: An Update

Structural equation modeling : a multidisciplinary journal, 2017
G. Lubke, Ian Campbell, Daniel B. McArtor, Patrick J. Miller, Justin M. Luningham, Stéphanie M. van den Berg   +5 more
semanticscholar   +1 more source

Association of HAMP Expression and CD8+ T‐Cell Infiltration With Atezolizumab–Bevacizumab Response in Hepatocellular Carcinoma

Annals of Gastroenterological Surgery, EarlyView.
In hepatocellular carcinoma treated with atezolizumab–bevacizumab, responders showed RNA‐seq enrichment of immune and chemokine pathways with higher HAMP expression. In resected specimens, immunohistochemistry confirmed increased intratumoral CD8+ T‐cell density and hepcidin (HAMP), supporting HAMP plus CD8 as components of a composite predictor of ...
Shun Nakamura, Yuki Murakami, Yusuke Oshima, Takashi Masuda, Wataru Miyoshino, Hiroomi Takayama, Yoko Kawano, Teijiro Hirashita, Yuichi Endo, Masafumi Inomata   +9 more
wiley   +1 more source

A new automatic forecasting method based on explainable deep dendritic artificial neural network. [PDF]

Sci Rep
Bas E, Egrioglu E.
europepmc   +1 more source

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

Advanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang, Jiayi Tan, Qizhen Song, Tian Du, Jens Hauch, Christoph J. Brabec   +5 more
wiley   +1 more source

Multicomponent stress-strength reliability analysis using the inverted exponentiated rayleigh distribution under block adaptive type-II progressive hybrid censoring and k-records. [PDF]

Sci Rep
Newer HA.
europepmc   +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