Results 181 to 190 of about 128,271 (260)
ABSTRACT Understanding collegiate norms and practices that promote sense of belonging among students who have traditionally been raced, gendered, stigmatized, and excluded as the ‘other’ in predominantly white institutions (PWI) is of paramount importance today as these efforts face increasingly antagonistic legislation, state policies, and ...
Nkenji K. Clarke +3 more
wiley +1 more source
Automated analysis of heart sound signals in screening for structural heart disease in children. [PDF]
Papunen I +11 more
europepmc +1 more source
ABSTRACT Even though data on hospital admissions are widely used in health research, hospitalization‐related estimands measured using these data are not always clearly conceptualized. Consequently, estimators of these quantities can have unclear rationales and undesirable properties.
Aditya Jain +7 more
wiley +1 more source
Correlations between heart sound components and hemodynamic variables. [PDF]
Park YS +9 more
europepmc +1 more source
Enhanced heart sound anomaly detection via WCOS: a semi-supervised framework integrating wavelet, autoencoder and SVM. [PDF]
Zeng P, Kang S, Fan F, Liu J.
europepmc +1 more source
ABSTRACT A growing body of research demonstrates that purpose and meaning are significant to employee well‐being and organizational performance. Yet, increasing challenges in the workplace, including downsizing, layoffs, and job insecurity, can erode employees' sense of purpose and meaning.
Meera Alagaraja +2 more
wiley +1 more source
Importance of fourth heart sound and preserved left atrial function in wild-type transthyretin amyloidosis. [PDF]
Ochi Y +8 more
europepmc +1 more source
Research progress on the depth of anesthesia monitoring based on the electroencephalogram
Electroencephalogram (EEG) can noninvasive, continuous, and real‐time monitor the state of brain electrical activity, and the monitoring of EEG can reflect changes in the depth of anesthesia (DOA). The development of artificial intelligence can enable anesthesiologists to extract, analyze, and quantify DOA from complex EEG data.
Xiaolan He, Tingting Li, Xiao Wang
wiley +1 more source
Are Artificial Intelligence Models Listening Like Cardiologists? Bridging the Gap Between Artificial Intelligence and Clinical Reasoning in Heart-Sound Classification Using Explainable Artificial Intelligence. [PDF]
Alrabie S, Barnawi A.
europepmc +1 more source

