ASSOCIATIONS BETWEEN INTERNET ADDICTION, PSYCHIATRIC COMORBIDITY, AND MATERNAL DEPRESSION AND ANXIETY: POTENTIAL UNDERLYING MECHANISMS [LETTER]

Associations Between Internet Addiction, Psychiatric Comorbidity, and Maternal Depression and Anxiety: Potential Underlying Mechanisms [Letter]

Alvaro Teixeira Filho,1 Alana Xavier de Almeida2 1Department of Psychiatry and Behavioral Sciences, University of Miami Miller etc ufmp8 School of Medicine, Miami, FL, USA; 2Department of Pediatrics, University of Miami Miller School of Medicine, Miami, FL, USACorrespondence: Alvaro Teixeira Filho, Department of Psychiatry and Behavioral Sciences,

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An Internet comment as a speech genre: Axiological aspect

The article presents the analysis of evaluation in milwaukee 49-22-5603 the speech genre “Internet comment” and focuses on the ways and means of its expression.The research is based on the comments on Instagram (organization banned on the territory of the Russian Federation) posts about sports, namely figure skating.The authors of the a

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Challenges and perspectives of child labor

Child labor is one of the oldest problems in our society and still an ongoing issue.During the time, child labor evolved from working in agriculture or small handicraft workshops to being forced into work in factories in the urban setting as a result of the industrial revolution.Children were very profitable assets since their pay was very low, wer

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Beyond the Edge: Markerless Pose Estimation of Speech Articulators from Ultrasound and Camera Images Using DeepLabCut

Automatic feature extraction from images of speech articulators is currently achieved by detecting edges.Here, teeter totter cabernet 2019 we investigate the use of pose estimation deep neural nets with transfer learning to perform markerless estimation of speech articulator keypoints using only a few hundred hand-labelled images as training input.

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