Results 181 to 190 of about 115,694 (222)
A canonical theory for short GPS baselines. Part IV: precision versus reliability [PDF]
P. J. G. Teunissen
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Poor communication impairs optimal care of patients with heart failure and erectile dysfunction
Abstract Aims Heart failure (HF) and erectile dysfunction (ED) share numerous risk factors and pathogenetic mechanisms, resulting in a high prevalence of ED among male patients with HF. This questionnaire‐based study aimed to better understand the patient's journey from a patient perspective and that of healthcare professionals (HCPs) regarding ...
Lea Leist, Lenka Hausmann, Carla Pohlink
wiley +1 more source
Abstract Objectives Substantial variations are seen among clinicians in the diagnosis and treatment planning of periodontal diseases. Accurate diagnosis and treatment planning are fundamental requirements for effective outcome‐based patient care. The aim of this study was to evaluate the understanding of the American Academy of Periodontology and the ...
Arushi Kakar+5 more
wiley +1 more source
Subsidence at The Geysers Geothermal Field, N. California from a comparison of GPS and leveling surveys [PDF]
Antony Mossop, P. Segall
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Oblique convergence in the Himalayas of western Nepal deduced from preliminary results of GPS measurements [PDF]
François Jouanne+7 more
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Consistent Facial Cues to Social Class Across Two Different Western Contexts
ABSTRACT Individuals form impressions of others’ social‐class standing from nonverbal information, including facial appearance. Whether the facial cues relating to (perceptions of) social class generalize across different contexts and class measures (e.g., income and subjective status) remains unknown.
R. Thora Bjornsdottir+4 more
wiley +1 more source
Cost-effectiveness of a new treatment for somatized mental disorder taught to GPs [PDF]
Richard Morriss+6 more
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Continuous GPS measurements of contemporary deformation across the Northern Basin and Range Province [PDF]
Richard A. Bennett+2 more
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Shows the state of the signal during the no fault. ABSTRACT Deep learning has become a vital tool for addressing complex challenges in power systems, particularly fault detection and classification in transmission lines. This study presents a comparative analysis of three advanced time‐series models like temporal convolutional networks (TCN ...
Nadeem Ahmed Tunio+5 more
wiley +1 more source