Results 61 to 70 of about 613,206 (345)

Risk Prediction Models for Recurrence After Curative Treatment of Early‐Stage or Locally Advanced Lung Cancer: A Systematic Review

Aging and Cancer, EarlyView.
This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel, S. Tissera, E. Paul, J. Zalcberg, R. G. Stirling   +4 more
wiley   +1 more source

Spatiotemporal Pattern Identification and Driving Mechanism of Urban Shrinkage in the Yellow River Basin from 2000 to 2020 [PDF]

, 2022
Wei Gao, Xinzheng Zhao, Jianwei Li, Dekang Zhang, Yang Rui, Tongsheng Li, Min Lei   +6 more
openalex   +1 more source

Impact of Asymptomatic Intracranial Hemorrhage on Outcome After Endovascular Stroke Treatment

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Endovascular treatment (EVT) achieves high rates of recanalization in acute large‐vessel occlusion (LVO) stroke, but functional recovery remains heterogeneous. While symptomatic intracranial hemorrhage (sICH) has been well studied, the prognostic impact of asymptomatic intracranial hemorrhage (aICH) after EVT is less certain ...
Shihai Yang, Chengsong Yue, Zhuang Li, Xiaolei Shi, Haoxuan Zhu, Jie Yang, Linyu Li, Jiaxing Song, Shitao Fan, Gaoming Li, Wenzhe Sun, Zhixian Ye, Jiacheng Huang, Dahong Yang, Jinfu Ma, Xu Xu, Zhixi Wang, Lilan Wang, Guojian Liu, Fengli Li, Changwei Guo, Li Qi, Wenjie Zi   +22 more
wiley   +1 more source

Autogenous shrinkage of zeolite cement pastes with low water-binder ratio [PDF]

, 2015
Self-desiccation is one common phenomenon of high-performance cementitious materials characterized by low water to cementitious material ratio (w/c).
De Schutter, Geert, Huang, Hao, Lyu, Yang, Ye, Guang   +3 more
core   +1 more source

From Minimax Shrinkage Estimation to Minimax Shrinkage Prediction

Statistical Science, 2012
Published in at http://dx.doi.org/10.1214/11-STS383 the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org)
George, Edward I, Liang, Feng, Xu, Xinyi
openaire   +4 more sources

Composition Estimation Via Shrinkage

SSRN Electronic Journal, 2022
In this note, we explore a simple approach to composition estimation, using penalized likelihood density estimation on a nominal discrete domain. Practical issues such as smoothing parameter selection and the use of prior information are investigated in simulations, and a theoretical analysis is attempted. The method has been implemented in a pair of R
openaire   +2 more sources

Risk of Non‐Arteritic Anterior Ischemic Optic Neuropathy in Idiopathic Intracranial Hypertension Patients Treated with GLP‐1 Receptor Agonists

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) have demonstrated significant weight‐reducing effects and may offer benefits in idiopathic intracranial hypertension (IIH); however, recent concerns about the risk of non‐arteritic anterior ischemic optic neuropathy (NAION) have emerged.
Faisal A. Al‐Harbi, Mohanad A. Alkuwaiti, Yazeed B. Alaql, Ahmed K. Alsaif, Ahmed A. Alessa, Meshari Ayed Alharbi, Mohammed Alfalah, Saud A. Alnaaim, Sajjad M. AlHaddad, Ahmed Y. Azzam   +9 more
wiley   +1 more source

Evaluation of long‐term behaviour of composite timber‐concrete structures according to EC

Technological and Economic Development of Economy, 2005
The objective of this work is the investigation of long‐term behaviour of composite timber‐concrete beams. Both ultimate and serviceability limit states have to be satisfied according to modern design codes, such as Eurocode 5.
Saulius Kavaliauskas, Audronis Kazimieras Kvedaras, Kestutis GurkÅ¡nys   +2 more
doaj   +1 more source

Kernel Mean Shrinkage Estimators [PDF]

, 2016
A mean function in a reproducing kernel Hilbert space (RKHS), or a kernel mean, is central to kernel methods in that it is used by many classical algorithms such as kernel principal component analysis, and it also forms the core inference step of modern ...
Fukumizu, Kenji, Gretton, Arthur, Muandet, Krikamol, Schölkopf, Bernhard, Sriperumbudur, Bharath   +4 more
core   +2 more sources

Shrinkage-based random local clocks with scalable inference [PDF]

, 2021
Alexander A. Fisher, Xiang Ji, Akihiko Nishimura, Philippe Lemey, Marc A. Suchard   +4 more
openalex   +1 more source