Using machine learning for the assessment of ecological status of unmonitored waters in Poland.

Advancements in Artificial Intelligence (AI) technology allow for development of new tools for analytics and management which present new opportunities in field of environmental protection. The following study showcases usage of Machine Learning (ML) techniques as a complementary method for water status assessment of water bodies. Since the main goal of Water Framework Directive (WFD) is to improve the quality of water and reach good status in all the water bodies across Europe intensive monitoring program was launched together with water status assessment procedure.

Comparing energy system optimization models and integrated assessment models: Relevance for energy policy advice.

Background: The transition to a climate neutral society such as that envisaged in the European Union Green Deal requires careful and comprehensive planning. Integrated assessment models (IAMs) and energy system optimisation models (ESOMs) are both commonly used for policy advice and in the process of policy design. In Europe, a vast landscape of these models has emerged and both kinds of models have been part of numerous model comparison and model linking exercises.

Uncovering the effects of COVID-19 on in-hospital cardiac arrest - a living systematic review and meta-analysis.

Introduction And Objective: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused a global pandemic and had a negative impact on the entire health care system. To understand the effect of COVID-19 on outcomes of in-hospital cardiac arrest (IHCA), a systematic review and meta-analysis of studies was designed to compare the pre- and intra-pandemic periods of adult patients who suffered cardiac arrest, and additionally by performing a sub-analysis related to COVID-19 positive vs. negative patients in the same group of patients.

Prediction value of soluble urokinase plasminogen activator receptor (suPAR) in COVID-19 patients - a systematic review and meta-analysis.

Introduction And Objective: In COVID-19, the rapid prediction of the severity of a patient's condition using modern biomarkers can accelerate the implementation of appropriate therapy, and thus improve the patient's prognosis.

Material And Methods: A meta-analysis was conducted of data available in the literature on the differences in baseline suPAR blood concentration between patients (1) who tested positive and negative for COVID-19, (2) who had severe and non-severe COVID-19, and (3) COVID-19 survivors and non-survivors.

Results: SuPAR levels in SARS-CoV-2 negative and positive patients varied and amounted to 3.

Impact of municipal and industrial waste incinerators on PCBs content in the environment.

Polychlorinated biphenyls (PCBs) have been withdrawn from the market due to their toxicity, bioaccumulation capacity, and persistence. PCBs have been observed to potentially form in combustion processes under appropriate conditions and in the presence of precursors containing chlorine. The study covered a municipal waste incineration plant and an industrial waste incineration plant.