J Am Coll Radiol 2018 01 9;15(1 Pt A):114-115. Epub 2017 Sep 9.
Department of Interventional Radiology, Miami Cardiac and Vascular Institute, Miami, Florida.
J Community Psychol 2021 Sep 21. Epub 2021 Sep 21.
Department of Educational Psychology and Special Education, Faculty of Education, University of Zululand, Richards Bay, South Africa.
This study assessed the prediction of occupational stress through personality traits, gender and occupational stress among teachers of learners with special needs (TLSN) from the southwest, Nigeria. The transactional stress theory provided a framework for the study. Data were collected through a paper-pencil self-completed questionnaire. Read More
Spectrochim Acta A Mol Biomol Spectrosc 2021 Sep 15;265:120373. Epub 2021 Sep 15.
Beijing National Laboratory for Molecular Sciences, State Key Laboratory for Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, PR China; School of Biological and Environmental Sciences and Technology, Kwansei Gakuin University, Sanda, Hyogo 669-1337, Japan.
An approach is developed to remove the interference of moisture from FTIR spectra. The interference arises from two aspects: the fluctuation on the temperature of the HeNe laser and the fluctuation on the transient concentration of moisture in the light - path of an FTIR spectrometer. The temperature fluctuation on the HeNe laser produces a systematic spectral shift between single-beam sample and background spectra, which often makes spectral subtraction method invalid in removing the interference of moisture. Read More
Int J Med Inform 2021 Sep 8;155:104570. Epub 2021 Sep 8.
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China; Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China. Electronic address:
Background: It is a great challenge for emergency physicians to early detect the patient's deterioration and prevent unexpected death through a large amount of clinical data, which requires sufficient experience and keen insight.Objective: To evaluate the performance of machine learning models in quantifying the severity of emergency department (ED) patients and identifying high-risk patients.Methods: Using routinely-available demographics, vital signs and laboratory tests extracted from electronic health records (EHRs), a framework based on machine learning and feature engineering was proposed for mortality prediction. Read More
IEEE Trans Neural Netw Learn Syst 2021 Sep 21;PP. Epub 2021 Sep 21.
The coronavirus disease 2019 (COVID-19) has continued to spread worldwide since late 2019. To expedite the process of providing treatment to those who have contracted the disease and to ensure the accessibility of effective drugs, numerous strategies have been implemented to find potential anti-COVID-19 drugs in a short span of time. Motivated by this critical global challenge, in this review, we detail approaches that have been used for drug repurposing for COVID-19 and suggest improvements to the existing deep learning (DL) approach to identify and repurpose drugs to treat this complex disease. Read More
IEEE/ACM Trans Comput Biol Bioinform 2021 Sep 21;PP. Epub 2021 Sep 21.
The use of modular mining methods to divide genes into multiple gene subsets is currently the basic work of analyzing biological big data and exploring the biological interpretation of it. By transforming gene expression profile data into gene co-expression network, we transform the task of gene module detection into the problem of finding community structure in the graph, and introduce the latest network representation learning method-graph neural network to optimize this problem. In order to systematically evaluate whether the algorithm allows overlap to affect such problems, we make two variants of the output of the algorithm, Deepgmd_cluster and Deepgmd, the difference between them is whether overlap is allowed. Read More