An evaluation of syphilis partner services among gay, bisexual, and other men who have sex with men with early syphilis in King County, WA.

Background: Partner services (PS) have been integral to syphilis control in the U.S. since the early 20th century but have not been evaluated in a controlled study.

Reversible Bimetallic Inhibition to Modulate Selectivity During Catalysis.

Bimetallic complexes have demonstrated a great ability to enhance the activity of monometallic systems for bond activation and catalysis. In this work, we explore the opposite approach: using a second metal to passivate the activity of another by reversible bimetallic inhibition. To do so we have synthesized a family of nine electrophilic gold complexes of formula Au(PR)(NTf) ([NTf] = [N(SOCF)]) that can act as inhibitors in the semihydrogenation of terminal and internal alkynes catalyzed by the iconic iridium Vaska complex IrCl(CO)(PPh).

The importance of microbiology reference laboratories and adequate funding for infectious disease surveillance.

Microbiology reference laboratories perform a crucial role within public health systems. This role was especially evident during the COVID-19 pandemic. In this Viewpoint, we emphasise the importance of microbiology reference laboratories and highlight the types of digital data and expertise they provide, which benefit national and international public health.

Impact of child summertime obesity interventions on body mass index and weight-related behaviors: A systematic review and meta-analysis.

Introduction: Obesity during childhood is a critical public health issue. The summer break from school is a time when children are prone to accelerated weight gain. We aimed to investigate how obesity prevention or treatment programs implemented over the summer affect anthropometric measures or weight-related behaviors.

Enhancing mortality prediction in patients with spontaneous intracerebral hemorrhage: Radiomics and supervised machine learning on non-contrast computed tomography.

Purpose: This study aims to develop a Radiomics-based Supervised Machine-Learning model to predict mortality in patients with spontaneous intracerebral hemorrhage (sICH).

Methods: Retrospective analysis of a prospectively collected clinical registry of patients with sICH consecutively admitted at a single academic comprehensive stroke center between January-2016 and April-2018. We conducted an in-depth analysis of 105 radiomic features extracted from 105 patients.