Rapid Triage of Children with Suspected COVID-19 Using Laboratory-Based Machine-Learning Algorithms.

In order to limit the spread of the novel betacoronavirus (SARS-CoV-2), it is necessary to detect positive cases as soon as possible and isolate them. For this purpose, machine-learning algorithms, as a field of artificial intelligence, have been recognized as a promising tool. The aim of this study was to assess the utility of the most common machine-learning algorithms in the rapid triage of children with suspected COVID-19 using easily accessible and inexpensive laboratory parameters.

Multivariate analysis of water quality parameters in Lake Palic, Serbia.

This study presents a comprehensive investigation of water quality parameters in the fourth sector of Lake Palic in Serbia, which has a regional strategic importance. Namely, it is designated as a tourist destination. What is perhaps even more important is that its surplus water ends up in Lake Ludas, a significant habitat for migrating and aquatic bird species, and it is a RAMSAR site.

Field measurements on alluvial watercourses in light of numerical modeling: case studies on the Danube River.

Adequate monitoring and data acquisition of proper hydraulic, sediment, and constituent parameters in alluvial watercourses have become crucial aspects of human interaction with the environment. Conducting well-organized, comprehensive, and meaningful field measurements on natural watercourses are of great importance when assessing its hydraulic, morphological, and ecological state. However, this paper presents a methodology for field measurements on alluvial watercourses in light of numerical modeling.

Sediment transport and bed evolution model for complex river systems.

This work presents the theoretical background, development, and preliminary evaluation of a one-dimensional unsteady sediment transport and bed evolution model for a looped river network. The sediment transport and bed evolution model employs a concept that differentiates sediment particles moving in the form of suspended sediment, and near bed, and bed sediment. Applying the active layer concept, the developed model utilizes the appropriate exchange mechanisms between the suspended sediment and active layer material, which are presented in great detail.

Implementation of a monitoring approach: the Palic-Ludas lake system in the Republic of Serbia.

This paper presents the development and implementation of a monitoring procedure on the Palic-Ludas lake system in the north of the Republic of Serbia. After evaluating the system's current monitoring approach, additional measurements were conducted for both hydraulic and water quality parameters. The considered area is a complex system that incorporates lakes, hydraulic structures, and a channel, with a waste water treatment plant on its upstream, and a nature protection area on its downstream end, making its monitoring and management an interesting challenge.

Hydraulic analysis of a meander on the Danube River using a 2D flow model.

This paper presents the development, calibration and verification of a two-dimensional model for a Danube reach and its old cutoff meander. The considered meander was at one point separated from the main reach with a levee, which caused a series of unwanted environmental consequences. Aiming to stop the ongoing degradation of the meander, the validated model was engaged to investigate the effects different river works would have on its current state.

Impaired cerebrovascular reactivity in chronic obstructive pulmonary disease.

Impaired cerebrovascular reactivity (CVR) is associated with stroke. Cerebrovascular diseases are common comorbidity in chronic obstructive pulmonary disease (COPD) patients. The aim of our study was to quantify CVR in the anterior and posterior cerebral circulation during voluntary breath-holding in COPD patients according to airflow limitation severity.