University Social Responsibility in China: The Mediating Role of Green Psychological Capital.

Generation Z represents the young people of today. They are considered as "digitally literate" and were born between mid-to-late 1990s to early 2000s. Generation Z pays more attention to popular environmental issues such as global warming, high energy consumption, overgrazing, and university social responsibility (USR), which are present around the world.

Association of Fabry Disease with Hearing Loss, Tinnitus, and Sudden Hearing Loss: A Nationwide Population-Based Study.

Hearing loss and the related otologic manifestations are receiving increased scrutiny as significant causes of morbidity in Fabry disease. However, the relative risks of auditory deficits among patients with Fabry disease relative to the general population without a diagnosis of Fabry disease have not been studied. This study aims to explore the associations between Fabry disease and hearing-related manifestations using a nationwide population-based dataset.

Quantifying public preferences for healthcare priorities in Taiwan through an integrated citizens jury and discrete choice experiment.

Priority setting is a critical process for national healthcare systems that need to allocate limited resources across unlimited healthcare demands. In recent decades, health policymakers have identified the need to combine technical dimensions of priority setting with political dimensions relating to community values. A range of methods for engaging the public in priority setting has been developed, yet there is no consensus around the most effective methodology.

Rapid Assessment of Acute Ischemic Stroke by Computed Tomography Using Deep Convolutional Neural Networks.

Acute stroke is one of the leading causes of disability and death worldwide. Regarding clinical diagnoses, a rapid and accurate procedure is necessary for patients suffering from acute stroke. This study proposes an automatic identification scheme for acute ischemic stroke using deep convolutional neural networks (DCNNs) based on non-contrast computed tomographic (NCCT) images.

The trafficking of women and girls in Taiwan: characteristics of victims, perpetrators, and forms of exploitation.

Background: Prior to the passing of 2009 Human Trafficking Prevention Act (HTPA), human trafficking was underestimated in Taiwan. In the past, domestic trafficking in women and girls often targeted vulnerable groups such as young girls from poor families or minority groups. Since the 1990s, an increasing flow of immigrant women, mainly from Vietnam and Indonesia and some from China, into Taiwan has created a new group of Human Trafficking victims.

Identifying risk factors for household burdens of road traffic fatalities: regression results from a cross-sectional survey in Taiwan.

Background: Road traffic fatalities (RTF) are among the top ten causes of deaths in the world. The risk factors for RTF fatal victims have been extensively characterized, but studies of household burden of RTF have been very few in number. Accordingly, this article investigates post-crash impacts on RTF victims' family members, including the adverse impacts of lost income, occupational disruption, unfavorable family dynamics, and residential relocation.

Modeling health survey data with excessive zero and K responses.

Zero-inflated Poisson regression is a popular tool used to analyze data with excessive zeros. Although much work has already been performed to fit zero-inflated data, most models heavily depend on special features of the individual data. To be specific, this means that there is a sizable group of respondents who endorse the same answers making the data have peaks.