Results 41 to 50 of about 135,715 (268)

Experimental Analysis on Friction Characteristics of MW Wind Turbine Generator Yaw Braking System

open access: yes南方能源建设
[Objective] The wind turbine generator (WTG) yaw braking system has application in low-pressure yaw and high-pressure heavy load, and the friction performance between friction pairs is influenced by various parameters between the components of the yaw ...
Ming LIU   +4 more
doaj   +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

open access: yesMolecular 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

open access: yesMolecular 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   +20 more
wiley   +1 more source

Data‐driven discovery of gene expression markers distinguishing pediatric acute lymphoblastic leukemia subtypes

open access: yesMolecular Oncology, EarlyView.
This study investigates gene expression differences between two major pediatric acute lymphoblastic leukemia (ALL) subtypes, B‐cell precursor ALL, and T‐cell ALL, using a data‐driven approach consisting of biostatistics and machine learning methods. Following analysis of a discovery dataset, we find a set of 14 expression markers differentiating the ...
Mona Nourbakhsh   +8 more
wiley   +1 more source

Fatigue prediction of high-strength bolts in wind turbines

open access: yesDianzi Jishu Yingyong
The flange plate and blade root hub of wind turbines are connected by high-strength bolts, and the collapse of most wind turbine towers is caused by the fatigue of the connecting bolts.
Zheng Qishan   +5 more
doaj   +1 more source

Voltage source control of offshore all-DC wind farm

open access: yesThe Journal of Engineering, 2019
The fast growth of offshore all-DC wind farm will bring problems such as the weakening of grid frequency stability and the increase of equivalent grid impedance.
Renxin Yang   +3 more
doaj   +1 more source

PARP inhibitors elicit distinct transcriptional programs in homologous recombination competent castration‐resistant prostate cancer

open access: yesMolecular Oncology, EarlyView.
PARP inhibitors are used to treat a small subset of prostate cancer patients. These studies reveal that PARP1 activity and expression are different between European American and African American prostate cancer tissue samples. Additionally, different PARP inhibitors cause unique and overlapping transcriptional changes, notably, p53 pathway upregulation.
Moriah L. Cunningham   +21 more
wiley   +1 more source

Analysis on Operating Clearance of Matched Single Row Tapered Roller Bearings for Wind Turbine Main Shaft

open access: yes南方能源建设
[Introduction] The main shafting structure with double supports of single row tapered roller bearings has been widely used in wind turbines, and determining the appropriate bearing operating clearance is crucial for the reliable operation of bearings and
Zhongjie BU   +5 more
doaj   +1 more source

Decrypting cancer's spatial code: from single cells to tissue niches

open access: yesMolecular Oncology, EarlyView.
Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik   +4 more
wiley   +1 more source

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