NumSimEX: A method using EXX hydrogen exchange mass spectrometry to map the energetics of protein folding landscapes.

Hydrogen exchange mass spectrometry (HXMS) is a powerful tool to understand protein folding pathways and energetics. However, HXMS experiments to date have used exchange conditions termed EX1 or EX2 which limit the information that can be gained compared to the more general EXX exchange regime. If EXX behavior could be understood and analyzed, a single HXMS timecourse on an intact protein could fully map its folding landscape without requiring denaturation.

Recycled Phosphorus Bioamendments from Wastewater Impact Rhizomicrobiome and Benefit Crop Growth: Sustainability Implications at Water-Food Nexus.

Phosphorus recovery through enhanced biological phosphorus removal (EBPR) processes from agricultural wastes holds promise in mitigating the impending global P shortage. However, the complex nutrient forms and the microbial augments, expected to exert a profound impact on crop rhizomicrobiome and thus crop health, remained unexplored. In this study, we investigated the impacts of EBPR biosolids on crops growth and rhizomicrobiome in comparison to chemical fertilizer and Vermont manure compost.

Timing for a surgically safe and oncologically prompt pancreatoduodenectomy after preoperative biliary drainage in patients with bile duct cancer.

Background: Preoperative biliary drainage (PBD) is commonly performed in patients with bile duct cancer (BDC). However, data regarding the timing of pancreatoduodenectomy (PD) after PBD are insufficient. This study aimed to investigate the optimal timing for surgically and oncologically safe PD after PBD.

Performance and clinical implications of machine learning models for detecting cervical ossification of the posterior longitudinal ligament: a systematic review.

Ossification of the posterior longitudinal ligament (OPLL) is a significant spinal condition that can lead to severe neurological deficits. Recent advancements in machine learning (ML) and deep learning (DL) have led to the development of promising tools for the early detection and diagnosis of OPLL. This systematic review evaluated the diagnostic performance of ML and DL models and clinical implications in OPLL detection.

Effect of electronic cigarette atomising power and flavour on aerosol size-segregated metal concentration and inhalation risk.

Introduction: Although numerous studies have estimated the inhalation dose of metals emitted from electronic cigarettes (e-cigs), the impact of factors including aerosol size and the atomising power of e-cig aerosols on estimating the inhalation dose of metals remains underexplored. A comprehensive understanding of these determinants is essential to assess the health risks associated with inhaling e-cig aerosols, which may contain potentially harmful metals.

Objectives: The aim of this study is to elucidate the mass and inhalation doses of potentially harmful metals in e-cig aerosols by different particle size and their association with the various atomising powers of e-cig devices and flavours.