Slamsex as slow edgework: Sexualized drug use and harm reduction in post-AIDS Taiwan.

Background: Since the mid-2010s, slamsex-sexualized drug use involving intravenously injecting meth-has rapidly emerged in metropolitan gay communities as a sociosexual practice necessitating harm reduction interventions. However, its impact on gay men's sociosexual lives and HIV technologies is not well understood. This paper addresses this gap by investigating two intertwined temporal dimensions of slamsex, viewing it as a form of slow edgework in post-AIDS Taiwan.

The effect of exercise on the risk of metabolic syndrome associated with sleep insufficiency: a cross-sectional study.

Introduction: Sleep disturbance and insufficient sleep have been linked to metabolic syndrome, increasing cardiovascular disease and mortality risk. However, few studies investigate the joint effect of sleep and exercise on metabolic syndrome. We hypothesized that regular exercise can mitigate the exacerbation of metabolic syndrome by sleep insufficiency.

Preferences for long-acting pre-exposure prophylaxis among gay, bisexual and other men who have sex with men in Taiwan: findings from the 2021 HEART Survey.

Introduction: While various antiretrovirals have been studied as potential candidates for long-acting pre-exposure prophylaxis (PrEP), the bimonthly injectable cabotegravir-the first long-acting form of PrEP-was approved in 2021. Event-driven (ED) PrEP has been the most prevalent dosing regimen among gay, bisexual and other men who have sex with men (GBMSM) in Taiwan, providing a unique setting to observe the preferences for long-acting PrEP in a community where the daily regimen is not the mainstream method. This study aimed to determine the preferences for the different forms and dosing intervals of long-acting PrEP that are currently in the development pipeline.

An object-oriented analysis of social apps, syringes and ARTs within gay Taiwanese men's chemsex practices.

Critical drug studies explore the discursive and material dimensions of sexualised drug use to overcome individualised and often pathologising notions such as risk, safety, responsibility and pleasure. This article uses an object-oriented approach-following the use and flow of social apps, syringes and antiretroviral therapy (ART)-to analyse gay and bisexual Taiwanese men's drug practices. Interview data from fourteen men are used to articulate how objects were brought into gay and bisexual men's chemsex repertoire in ways that shaped individuals' safe-sex communication, intimacy maintenance and stigma negotiation.

Association of Low Back Pain with Shift Work: A Meta-Analysis.

Shift work (SW) is the main working schedule worldwide, and it may cause sleep disorders, breast cancer, and cardiovascular disease. Low back pain (LBP) is a common problem in the workplace; however, the association between LBP and SW remains unclear. Therefore, we conducted a meta-analysis to determine the association between SW and LBP.

HIV, chemsex, and the need for harm-reduction interventions to support gay, bisexual, and other men who have sex with men.

Numerous studies have identified an association between the use of drugs in sexual contexts (chemsex) and HIV among gay, bisexual, and other men who have sex with men (GBMSM), although whether a causal relationship exists is contentious. An intricate relationship exists between chemsex, HIV treatment and prevention, harm reduction, and the provision of community-grounded health services. Furthermore, potential harms exist beyond HIV, such as intoxication and overdose.

Video Pivoting Unsupervised Multi-Modal Machine Translation.

The main challenge in the field of unsupervised machine translation (UMT) is to associate source-target sentences in the latent space. As people who speak different languages share biologically similar visual systems, various unsupervised multi-modal machine translation (UMMT) models have been proposed to improve the performances of UMT by employing visual contents in natural images to facilitate alignment. Commonly, relation information is the important semantic in a sentence.

Evaluation of and the prognostic factors for cats with big kidney-little kidney syndrome.

Background: The term big kidney-little kidney syndrome in cats has been used for many years, but the definitions are not consistent and relevant research is limited.

Objective: To determine the factors that differ between normal and BKLK cats, as well as to develop models for predicting the 30-day survival of cats with ureteral obstruction (UO).

Animals: Sixteen healthy cats and 64 cats with BKLK.

Factors associated with methamphetamine dependency among men who have sex with men engaging in chemsex: Findings from the COMeT study in Taiwan.

Background: Sexualized drug use or "chemsex" in Taiwan commonly incorporates the use of methamphetamine. Our study aimed to assess the extent of severity of dependence of methamphetamine among MSM in Taiwan as well as motivations for engagement in chemsex.

Methods: Direct messages were sent to users of a large MSM social networking application in Taiwan between November 2018 and January 2019.

Self-Supervised Deep Correlation Tracking.

The training of a feature extraction network typically requires abundant manually annotated training samples, making this a time-consuming and costly process. Accordingly, we propose an effective self-supervised learning-based tracker in a deep correlation framework (named: self-SDCT). Motivated by the forward-backward tracking consistency of a robust tracker, we propose a multi-cycle consistency loss as self-supervised information for learning feature extraction network from adjacent video frames.

Economic, Mental Health, HIV Prevention and HIV Treatment Impacts of COVID-19 and the COVID-19 Response on a Global Sample of Cisgender Gay Men and Other Men Who Have Sex with Men.

There is an urgent need to measure the impacts of COVID-19 among gay men and other men who have sex with men (MSM). We conducted a cross-sectional survey with a global sample of gay men and other MSM (n = 2732) from April 16, 2020 to May 4, 2020, through a social networking app. We characterized the economic, mental health, HIV prevention and HIV treatment impacts of COVID-19 and the COVID-19 response, and examined whether sub-groups of our study population are disproportionately impacted by COVID-19.

Structural Analysis and Optimization of Convolutional Neural Networks with a Small Sample Size.

Deep neural networks have gained immense popularity in the Big Data problem; however, the availability of training samples can be relatively limited in specific application domains, particularly medical imaging, and consequently leading to overfitting problems. This "Small Data" challenge may need a mindset that is entirely different from the existing Big Data paradigm. Here, under the small data scenarios, we examined whether the network structure has a substantial influence on the performance and whether the optimal structure is predominantly determined by sample size or data nature.