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Web-based interventions have been shown to be effective for various health and mental health problems. However, the effectiveness of interventions is often limited by the fact that individuals do not start or complete them. Using data from an intermediate analysis of the randomized placebo-controlled clinical trial to evaluate the effectiveness of @myTabu, the current study investigated engagement with a web-based intervention for 113 individuals convicted of child sexual abuse and/or for child sexual exploitation material.

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Constructed wetland (CW) technology has attracted much attention due to its economical and environmentally friendly features. The low dissolved oxygen (DO) and low carbon/nitrogen (C/N) ratio in the wetland influent water affect the treatment performance of CW, resulting in a decrease in the removal efficiency of ammonia nitrogen (NH -N) and nitrate nitrogen (NO -N). In order to address this problem, this study optimized the pollutants removal performance of unsaturated vertical flow constructed wetland (UVFCW) by adding sustained-release carbon sources (corn cobs + polybutylene adipate terephthalate (PBAT)).

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Introduction: The well-being of healthcare workers (HCWs) is a critical concern. While healthcare leaders can play a crucial role in influencing employees' well-being, it remains unclear how leaders are leveraging this influence. This study aims to unravel the current perspectives and practices of healthcare leaders in supporting HCW well-being.

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The Cost of Primary Care: An Experience Analysis in an Urban Setting.

Acta Med Philipp

December 2024

Department of Medicine, College of Medicine and Philippine General Hospital, University of the Philippines Manila, Manila, Philippines.

Objectives: PhilHealth's present health benefit scheme is largely centered on in-patient services. This inadvertently incentivizes hospital admissions for increased access to benefit coverage. To address this problem, this study proposes a costing method to comprehensively finance outpatient care.

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Several studies have demonstrated that the severity of social communication problems, a core symptom of Autism Spectrum Disorder (ASD), is correlated with specific speech characteristics of ASD individuals. This suggests that it may be possible to develop speech analysis algorithms that can quantify ASD symptom severity from speech recordings in a direct and objective manner. Here we demonstrate the utility of a new open-source AI algorithm, ASDSpeech, which can analyze speech recordings of ASD children and reliably quantify their social communication difficulties across multiple developmental timepoints.

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