Comparison of fractionation methods to assess Ni impact on anaerobic digestion: Filtration versus DGT.

Excess of trace elements (TE) significantly alters the performances of anaerobic digestors (AD). Due to interactions with organic matter in particular, only a small fraction of TE can effectively interact with the biomass. However, assessing the bioavailable fraction of TE remains an issue.

AutoML-Driven Insights into Patient Outcomes and Emergency Care During Romania's First Wave of COVID-19.

Background: The COVID-19 pandemic severely impacted healthcare systems, affecting patient outcomes and resource allocation. This study applied automated machine learning (AutoML) to analyze key health outputs, such as discharge conditions, mortality, and COVID-19 cases, with the goal of improving responses to future crises.

Methods: AutoML was used to train and validate models on an ICD-10 dataset covering the first wave of COVID-19 in Romania (January-September 2020).

Feasibility of at-Home Sleep Monitoring in Adolescents with and without Concussion.

Background: Poor sleep is associated with longer recovery following adolescent concussion, making the longitudinal assessment of sleep important for monitoring recovery and identifying sleep disruptions. An important consideration for successful monitoring of sleep following concussion is the feasibility and adherence of a given sleep monitoring tool when used in an at-home environment. Understanding the usability of different sleep monitoring tools is essential for determining their applicability for longitudinal assessment in an ecologically valid environment.

Comparison of WatchPAT to polysomnography measurement of apnea-hypopnea index and obstructive sleep apnea severity in adolescents with overweight and obesity.

Study Objectives: The prevalence of obstructive sleep apnea (OSA) increases dramatically in adolescents with overweight or obesity. The gold standard for diagnosis of OSA is in-laboratory polysomnography (PSG). However, access to PSG can be challenging, necessitating development of alternative devices.

Liver cancer multiomics reveals diverse protein kinase A disruptions convergently produce fibrolamellar hepatocellular carcinoma.

Fibrolamellar Hepatocellular Carcinoma (FLC) is a rare liver cancer characterized by a fusion oncokinase of the genes DNAJB1 and PRKACA, the catalytic subunit of protein kinase A (PKA). A few FLC-like tumors have been reported showing other alterations involving PKA. To better understand FLC pathogenesis and the relationships among FLC, FLC-like, and other liver tumors, we performed a massive multi-omics analysis.