[Neuroleptic malignant syndrome - unexpected complication in a COVID-19 patient].

Neuroleptic malignant syndrome is a life-threatening condition that can be fatal if unrecognized and inadequately treated. This disease is rarely seen in infectious diseases wards. As infectiologists, however, we are confronted with an increasingly broader spectrum of diagnoses and this disease should therefore be considered in any patient taking psychiatric medication who develops the typical symptoms of hyperthermia, rigidity and muscle tremors, autonomic lability and impaired consciousness. A case report is presented of a young man with schizophrenia admitted to the intensive care unit with COVID-19, who was treated with antipsychotics (formerly known as neuroleptics) for restlessness and who developed neuroleptic malignant syndrome. In cooperation with psychiatrists, a targeted therapy was initiated, after which the symptoms subsided and the patient's clinical condition resolved.

Towards the Development and Verification of a 3D-Based Advanced Optimized Farm Machinery Trajectory Algorithm.

Efforts related to minimizing the environmental burden caused by agricultural activities and increasing economic efficiency are key contemporary drivers in the precision agriculture domain. Controlled Traffic Farming (CTF) techniques are being applied against soil compaction creation, using the on-line optimization of trajectory planning for soil-sensitive field operations. The research presented in this paper aims at a proof-of-concept solution with respect to optimizing farm machinery trajectories in order to minimize the environmental burden and increase economic efficiency. As such, it further advances existing CTF solutions by including (1) efficient plot divisions in 3D, (2) the optimization of entry and exit points of both plot and plot segments, (3) the employment of more machines in parallel and (4) obstacles in a farm machinery trajectory. The developed algorithm is expressed in terms of unified modeling language (UML) activity diagrams as well as pseudo-code. Results were visualized in 2D and 3D to demonstrate terrain impact. Verifications were conducted at a fully operational commercial farm (Rostenice, the Czech Republic) against second-by-second sensor measurements of real farm machinery trajectories.

Deployment and Verifications of the Spatial Filtering of Data Measured by Field Harvesters and Methods of Their Interpolation: Czech Cereal Fields between 2014 and 2018.

Yield mapping is a subject of research in (precision) agriculture and one of the primary concerns for farmers as it forms the basis of their income and has implications for subsidies and taxes. The presented approach involves deployment of field harvesters equipped with sensors that provide more detailed and spatially localized values than merely a sum of yields for the whole plot. The measurements from such sensors need to be filtered and subject to further processing, including interpolation, to facilitate follow-up interpretation. This paper aims to identify the relative differences between interpolations from (1) (field) measured data, (2) measured data that were globally filtered, and (3) measured data that were globally and locally filtered. All the measured data were obtained at a fully operational farm and are considered to represent a natural experiment. The revealed spatial patterns and recommendations regarding global and local filtering methods are presented at the end of the paper. Time investments into filtering techniques are also taken into account.

[Severe course of influenza B complicated by rhabdomyolysis and acute respiratory failure resulting in death].

Influenza is an acute viral disease that causes influenza A, B, C. Clinically, flu is typically characterized by fever and respiratory symptoms, sometimes with the need for mechanical ventilation, less frequently by gastrointestinal symptoms and muscle problems; severe are cases with central nervous system involvement. The most common complication of influenza is secondary bacterial infection, typically pneumonia, which is most frequently caused by pneumococci and staphylococci. Every year, thousands of patients die of influenza or its complications. In the Czech Republic, namely the Moravian-Silesian Region, influenza B virus dominated the 2017/2018 flu season. Presented is a case of a 51-year-old male with influenza B as an etiologic agent of rapidly progressing muscle weakness and laboratory tests showing rhabdomyolysis and significantly elevated muscle enzyme and aminotransferase, resulting in acute respiratory failure and death.

Import of West Nile virus infection in the Czech Republic.

We report West Nile virus infection of the central nervous system in a 69-year-old man, residing in North Moravia (Czech Republic), who visited the USA from 6 July to 31 August 2002. He developed fever with fatigue at the end of his US stay, and was hospitalized in Ostrava after his return on 3 September with fever (up to 39.5 degrees Celsius), fatigue, anorexia, moderate laryngotracheitis, dizziness, insomnia, blurred speech, and a marked bradypsychism. EEG demonstrated a slow bifrontal theta-delta activity, and CT of the brain a slight hydrocephalus. A significant increase of antibodies neutralizing West Nile virus was detected between the first (1:16) and second (1:256) blood serum sample. The patient recovered gradually and was released from hospital on 16 September. This is the first recorded human case of West Nile fever (WNF) imported to the Czech Republic. Nine similar cases of WNF import from the USA have already been reported in other European countries - France, Denmark, the Netherlands, and Germany.