Internet Gaming Disorder: Compensating as a Draenei in World of Warcraft

The diagnosis of Gaming Disorder (GD) has been recently proposed in the beta draft of the 11th revision of the International Classification of Diseases (ICD-11) by the World Health Organization (WHO). This follows the inclusion of Internet Gaming Disorder (IGD), as a condition requiring additional research in the Diagnostic Statistical Manual for Mental Disorders (DSM-5), issued by the American Psychiatric Association (APA). Further research has been recommended to enhance understanding of excessive gaming, especially in the context of user-avatar (in-game figure representing the gamer) relationships. The association between selecting the Draenei race, compensation of real-life deficits through gaming, and the gamer’s gender were investigated as IGD risk factors among players of the online game, World of Warcraft (WoW). A normative online sample of WoW gamers (N = 404 M_age = 25.56; 13–75; males = 299; 74%) completed the Internet Gaming Disorder Scale–Short-Form (IGDS9-SF) and the compensation subscale of the User-Avatar Questionnaire. Regression, mediation, and moderated mediation analyses were conducted. Overall, players with higher levels of compensation exhibited greater levels of IGD symptoms. Interestingly, choosing the Draenei race was associated with increased compensatory behavior, which in turn linked to higher IGD risk. These associations were mildly stronger among females. Findings suggest that virtual demographics, such as the Draenei race, and their interplay with compensatory behaviors should be carefully considered when creating prevention and intervention policies targeting excessive gaming, especially when it involves the use of avatars.

     

Validation of a simple resazurin-based promastigote assay for the routine monitoring of miltefosine susceptibility in clinical isolates of Leishmania donovani

Simple, cost-effective approach for routine surveillance of parasite susceptibility to antileishmanial drug miltefosine (MIL) is highly desirable for controlling emergence of drug resistance in visceral leishmaniasis (VL). We validated a simple resazurin-based fluorimetric assay using promastigotes to track natural MIL tolerance in Leishmania donovani parasites from VL cases (n?=?17) against standard amastigote assay, in two different labs in India. The inter-stage MIL susceptibility correlated strongly (r?=?0.70, p?=?0.0018) using J774.A.1 macrophage cell line-based amastigote assay and fluorescence-based resazurin assay for promastigotes. Investigation of inter-stage MIL susceptibility for the same set of clinical isolates in another lab also showed a strong correlation (r?=?0.72, p?=?0.0012) using mouse peritoneal macrophages for amastigote assay and resazurin-based alamar blue assay for promastigotes. Additionally, parasites from post-kala-azar dermal leishmaniasis (PKDL) lesions (n?=?7, r?=?0.78, p?=?0.046) and MIL-induced parasites (r?=?0.92, p?=?0.0001; n?=?3) also exhibited a strongly correlated inter-stage miltefosine susceptibility. Thus, our results support the utility of resazurin assay as a simplified biological tool for MIL susceptibility monitoring in clinical isolates from MIL-treated VL/PKDL patients.     

Deletion of the D domain of the human parainfluenza virus type 3 (HPIV3) PD protein results in decreased viral RNA synthesis and beta interferon (IFN-β) expression

Parvoviridae is a family of small non-enveloped viruses and divided into two subfamilies. The family members infect a wide range of organisms from insects to humans and some of the members (e.g., nonpathogenic adeno-associated viruses) are effective gene therapy delivery vectors. We detailed the synonymous codon usage pattern of Parvoviridae family from the available 58 sequenced genomes through multivariate statistical methods. Our results revealed that nine viruses showed some degree of strong codon bias, and the others possessed a general weak trend of codon bias. ENc-plot and neutrality plot results showed that selective pressure dominated over mutation in shapes coding sequence’s composition. The overall GC content and GC content at the third synonymous codon position were the principal determinants behind the variations within the codon usage patterns, as they both significantly correlated with the first axis of correspondence analysis. In addition, gene length had no direct influence on the codon usage pattern. Densovirinae subfamily and Parvovirinae subfamily possessed nine identical preferred codons, though most of the two subfamilies codon usage frequencies were significantly different. The result of cluster analysis based on synonymous codon usage was discordant with that of taxonomic classification. Adeno-associated viruses formed a separated clade far from other Parvoviridae members in the dendrogram. Thus, we concluded that natural selection rather than mutation pressure accounts for the main factor that affects the codon bias in Parvoviridae family.     

Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms

Journal of Digital Imaging - Breast cancer is the most common cancer in women, and hundreds of thousands of unnecessary biopsies are done around the world at a tremendous cost. It is crucial to...     

Complete genome sequences of infectious spleen and kidney necrosis virus isolated from farmed albino rainbow sharks Epalzeorhynchos frenatum in the United States

Virus Genes - The genus Megalocytivirus includes viruses known to cause significant disease in aquacultured fish stocks. Herein, we report the complete genome sequences of two megalocytiviruses...     

Sex-specific impact of severe obesity in the outcomes of hospitalized patients with COVID-19: a large retrospective study from the Bronx,New York

It has been demonstrated that obesity is an independent risk factor for worse outcomes in patients with COVID-19. Our objectives were to investigate which classes of obesity are associated with higher in-hospital mortality and to assess the association between obesity and systemic inflammation. This was a retrospective study which included consecutive hospitalized patients with COVID-19 in a tertiary center. Three thousand five hundred thirty patients were included in this analysis (female sex: 1579, median age: 65 years). The median body mass index (BMI) was 28.8 kg/m². In the overall cohort, a J-shaped association between BMI and in-hospital mortality was depicted. In the subgroup of men, BMI 35–39.9 kg/m² and BMI ≥40 kg/m² were found to have significant association with higher in-hospital mortality, while only BMI ≥40 kg/m² was found significant in the subgroup of women. No significant association between BMI and IL-6 was noted. Obesity classes II and III in men and obesity class III in women were independently associated with higher in-hospital mortality in patients with COVID-19. The male population with severe obesity was the one that mainly drove this association. No significant association between BMI and IL-6 was noted.

     

Performance of seven consumer sleep-tracking devices compared with polysomnography

Study ObjectivesConsumer sleep-tracking devices are widely used and becoming more technologically advanced, creating strong interest from researchers and clinicians for their possible use as alternatives to standard actigraphy. We, therefore, tested the performance of many of the latest consumer sleep-tracking devices, alongside actigraphy, versus the gold-standard sleep assessment technique, polysomnography (PSG).MethodsIn total, 34 healthy young adults (22 women; 28.1 ± 3.9 years, mean ± SD) were tested on three consecutive nights (including a disrupted sleep condition) in a sleep laboratory with PSG, along with actigraphy (Philips Respironics Actiwatch 2) and a subset of consumer sleep-tracking devices. Altogether, four wearable (Fatigue Science Readiband, Fitbit Alta HR, Garmin Fenix 5S, Garmin Vivosmart 3) and three nonwearable (EarlySense Live, ResMed S+, SleepScore Max) devices were tested. Sleep/wake summary and epoch-by-epoch agreement measures were compared with PSG.ResultsMost devices (Fatigue Science Readiband, Fitbit Alta HR, EarlySense Live, ResMed S+, SleepScore Max) performed as well as or better than actigraphy on sleep/wake performance measures, while the Garmin devices performed worse. Overall, epoch-by-epoch sensitivity was high (all ≥0.93), specificity was low-to-medium (0.18–0.54), sleep stage comparisons were mixed, and devices tended to perform worse on nights with poorer/disrupted sleep.ConclusionsConsumer sleep-tracking devices exhibited high performance in detecting sleep, and most performed equivalent to (or better than) actigraphy in detecting wake. Device sleep stage assessments were inconsistent. Findings indicate that many newer sleep-tracking devices demonstrate promising performance for tracking sleep and wake. Devices should be tested in different populations and settings to further examine their wider validity and utility.