Results 151 to 160 of about 74,936 (290)
ABSTRACT Objective Our aim was to evaluate the diagnostic accuracy of the Eating Disorder Examination Questionnaire (EDE‐Q) scores and establish general and context‐specific cut‐off points for anorexia nervosa (AN) in Australian women. Methods The sample included 67 women with AN, 41 women with a history of AN and restored weight, 100 women with self ...
Rafael Moreton Alves da Rocha +3 more
wiley +1 more source
A deep reinforcement learning–based control architecture is proposed to coordinate heat pumps, thermal storage, renewable energy, and demand response in data center waste heat recovery systems. The agent learns optimal control actions from system states and reward feedback to achieve electrical–thermal co‐optimization under realistic operational ...
Rendong Shen +5 more
wiley +1 more source
This research explores the techno‐economic and environmental performance of fully renewable hybrid energy systems for rural electrification in Auchi, Nigeria. HOMER Pro is utilized to model and optimize PV/WT/Battery, PV/Battery, and WT/Battery configurations under identical conditions.
Ibrahim Seidu +7 more
wiley +1 more source
To enhance the power restoration speed of networked microgrids (NMGs) after extreme natural disasters and reduce the power outage of the system, this paper proposes a rapid post‐disaster restoration method for NMGs based co‐optimization of fault repair and load restoration.
Yunfan Zhang +3 more
wiley +1 more source
Compared with the detection of either marker alone, the combined detection of calcitonin (Ctn) and carcinoembryonic antigen (CEA) improved the diagnostic accuracy for medullary thyroid cancer (MTC) but did not enhance the positive predictive value (PPV).
Yu Yang +22 more
wiley +1 more source
The Use of Deep Learning in Distinguishing Chalazion and Eyelid Mass. [PDF]
Li A +11 more
europepmc +1 more source
Adaptive Multi-Wave Sampling for Efficient Chart Validation. [PDF]
Hahn G, Schneeweiss S, Wang SV.
europepmc +1 more source
Validation of a Risk-Prediction Model in the Presence of Outcome Misclassification. [PDF]
Zou R +3 more
europepmc +1 more source
What's New? Using 21 SNPs, two novel PRS were constructed and used to develop two new machine‐learning classifiers, one for the detection of prostate cancer and the other for the prediction of its aggressiveness and subsequent mortality. The classifier for disease detection is built using the PRS as the sole feature, whereas the one for disease ...
Leandro Rodrigues Santiago +3 more
wiley +1 more source
Evaluation of liver stiffness measurement–based scores in liver transplantation recipients
Abstract Combining bioclinical parameters with liver stiffness measurement (LSM) has improved the diagnostic performance of vibration‐controlled transient elastography (VCTE) for detection of advanced fibrosis in patients with chronic liver disease. However, this approach has not yet been tested in liver transplantation (LT) recipients.
Tamoore Arshad +11 more
wiley +1 more source

