The relationship between childhood maltreatment and self-harm: the mediating roles of alexithymia, dissociation, internalizing and posttraumatic symptoms.

Although childhood maltreatment is associated with later self-harm, the mechanism through which it might lead to self-harm is not completely understood. The purpose of this study was to examine the roles of alexithymia, dissociation, internalizing and posttraumatic symptoms in the association between exposure to childhood maltreatment and subsequent self-harm. A total of 360 adolescents were asked to complete the Childhood Trauma Questionnaire, the Toronto Alexithymia Scale, the Dissociative Experience Scale, the Somatoform Dissociation Questionnaire-20, the Posttraumatic Stress Checklist for DSM-5, and the Deliberate Self-Harm Inventory.

Prevalence of Ear-Related Problems in Individuals Recovered From COVID-19.

Introduction: The aim was to assess prevalence of tinnitus, hyperacusis, hearing and balance problems among patients recovered from COVID-19 infection. Self-reported ear and hearing symptoms were compared in three groups comprising: confirmed COVID-19, possible COVID-19, and non-COVID-19.

Materials And Methods: 1649 participants completed the survey in this cross-sectional study.

The latent factor structure and assessment of childbirth-related PTSD: psychometric characteristics of the City Birth Trauma Scale-Persian version (City-BiTS-P).

Objective: There is no validated Persian questionnaire to measure childbirth-related PTSD (CB-PTSD) symptoms. To cover this gap, the present study aimed to provide a Persian version of the City Birth Trauma Scale (CityBiTS-Pr) and to determine its psychometric properties.

Method: Since this is a cross-sectional study, sampling was done using a convenient sampling method.

Development, validity, and reliability of Neural Circuits Questionnaire (NCQ).

After a prolonged period of using the cortico-centric models of brain function, scientists developed a parallel perspective with an emphasis on all neural structures of the brain. Therefore, the present study aims to create a valid and reliable assessment based on the parallel perspective of brain function. First, a basic assessment was made.

Neural Network Based Mental Depression Identification and Sentiments Classification Technique From Speech Signals: A COVID-19 Focused Pandemic Study.

COVID-19 (SARS-CoV-2) was declared as a global pandemic by the World Health Organization (WHO) in February 2020. This led to previously unforeseen measures that aimed to curb its spread, such as the lockdown of cities, districts, and international travel. Various researchers and institutions have focused on multidimensional opportunities and solutions in encountering the COVID-19 pandemic.

Deep Learning-Based Transfer Learning for Classification of Skin Cancer.

One of the major health concerns for human society is skin cancer. When the pigments producing skin color turn carcinogenic, this disease gets contracted. A skin cancer diagnosis is a challenging process for dermatologists as many skin cancer pigments may appear similar in appearance.

The prevalence of Bartonella, hemoplasma, and Rickettsia felis infections in domestic cats and in cat fleas in Ontario.

The prevalence of persistent bacteremic Bartonella spp. and hemoplasma infections was determined in healthy pet cats in Ontario. Blood samples from healthy cats sent to a diagnostic laboratory for routine health assessment over the course of 1 y were tested for Bartonella spp.