Results 61 to 70 of about 5,008,228 (330)

An Integral Formulation of Two-Parameter Fatigue Crack Growth Model

Advances in Materials Science and Engineering, 2018
A two-parameter fatigue crack growth algorithm in integral form is proposed, which can describe the continuous crack growth process over the time period.
Jianguo Wu, Shan Jiang, Wei Zhang, Zili Wang   +3 more
doaj   +1 more source

Prediction of Hypertension Outcomes Based on Gain Sequence Forward Tabu Search Feature Selection and XGBoost

Diagnostics, 2021
For patients with hypertension, serious complications, such as myocardial infarction, a common cause of heart failure, occurs in the late stage of hypertension. Hypertension outcomes can lead to complications, including death.
Wenbing Chang, Xinpeng Ji, Yiyong Xiao, Yue Zhang, Bang Chen, Houxiang Liu, Shenghan Zhou   +6 more
doaj   +1 more source

Quantifying Information Leaks Using Reliability Analysis [PDF]

, 2014
acmid: 2632367 keywords: Model Counting, Quantitative Information Flow, Reliability Analysis, Symbolic Execution location: San Jose, CA, USA numpages: 4acmid: 2632367 keywords: Model Counting, Quantitative Information Flow, Reliability Analysis, Symbolic
d Amorim, M, Malacaria, P, Pasareanu, CS, Phan, Q-S, SPIN 2014 Proceedings of the 2014 International SPIN Symposium on Model Checking of Software   +4 more
core   +1 more source

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

Molecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source

A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression‐free survival

Molecular Oncology, EarlyView.
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes, Mario Ortega Duran, Solon Karapanagiotis, Alistair Martin, Meiling Gao, Riccardo Masina, Ramona Woitek, James Tanner, Fleur Tippin, Justine Kane, Jonathan Lay, Anja Brouwer, Stephen‐John Sammut, Suet‐Feung Chin, Davina Gale, Dana W. Y. Tsui, Sarah‐Jane Dawson, Nitzan Rosenfeld, Maurizio Callari, Oscar M. Rueda, Carlos Caldas   +20 more
wiley   +1 more source

Prognostic and Remaining Life Prediction of Electronic Device under Vibration Condition Based on CPSD of MPI

Shock and Vibration, 2016
Prognostic of electronic device under vibration condition can help to get information to assist in condition-based maintenance and reduce life-cycle cost.
Ying Chen, Ning Tang, Zenghui Yuan
doaj   +1 more source

Experimental and simulation studies of radiation‐induced single event burnout in SiC‐based power MOSFETs

IET Power Electronics, 2021
The single event burnout (SEB) effects of SiC power MOSFET are investigated by irradiations. An SEB is observed when drain biased above 400 V for 181Ta ion irradiation.
Chao Peng, Zhifeng Lei, Ziwen Chen, Shaozhong Yue, Zhangang Zhang, Yujuan He, Yun Huang   +6 more
doaj   +1 more source

An Empirical analysis of Open Source Software Defects data through Software Reliability Growth Models [PDF]

, 2013
The purpose of this study is to analyze the reliability growth of Open Source Software (OSS) using Software Reliability Growth Models (SRGM). This study uses defects data of twenty five different releases of five OSS projects.
Morisio, Maurizio, Ullah, Najeeb
core   +1 more source

Chemoresistome mapping in individual breast cancer patients unravels diversity in dynamic transcriptional adaptation

Molecular Oncology, EarlyView.
This study used longitudinal transcriptomics and gene‐pattern classification to uncover patient‐specific mechanisms of chemotherapy resistance in breast cancer. Findings reveal preexisting drug‐tolerant states in primary tumors and diverse gene rewiring patterns across patients, converging on a few dysregulated functional modules. Despite receiving the
Maya Dadiani, Gilgi Friedlander, Gili Perry, Nora Balint‐Lahat, Shlomit Gilad, Dana Morzaev‐Sulzbach, Anjana Shenoy, Noa Bossel Ben‐Moshe, Anya Pavlovsky, Rinat Bernstein‐Molho, Eytan Domany, Iris Barshack, Tamar Geiger, Bella Kaufman, Einav Nili Gal‐Yam   +14 more
wiley   +1 more source

Skill Vehicle Routing Problem With Time Windows Considering Dynamic Service Times and Time-Skill-Dependent Costs

IEEE Access, 2019
Service processes in modern logistic systems tend to be highly specialized and intellectualized. However, some casual and unexpected behavior may occur, causing specific dynamic interactions among their many constituents.
Xiaoyuan Yan, Boping Xiao, Yiyong Xiao, Zhonghao Zhao, Lin Ma, Naichao Wang   +5 more
doaj   +1 more source