RT-qPCR-Based Assessment of the Efficacy of 222 nm UVC Irradiation in Reducing SARS-CoV-2 Surface Contamination.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes coronavirus disease 2019 (COVID-19), has emerged as a serious threat to human health worldwide. The effective disinfection of surfaces contaminated with SARS-CoV-2 may help prevent its spread. The aim of this study is to determine the duration required for viral RNA elimination by 222 nm far ultraviolet light using RT-qPCR as a tool. This study investigated the effect of 222 nm UVC irradiation on SARS-CoV-2 RNA in an in vitro experiment. The results showed that the copy number of SARS-CoV-2 RNA did not change even after 300 s of 222 nm UVC irradiation at 0.1 mW/cm2, but extending the exposure to more than 600 s reduced the number of copies of SARS-CoV-2 virus significantly. However, to fully validate the results and enhance the robustness of the findings, it is crucial to increase the number of samples analyzed in future experiments.

Evaluation of the energy consumption of container diesel trucks in a container terminal: A case study at Klaipeda port.

INTRODUCTION: In the paper, we examine the energy consumption efficiency of specialized container diesel trucks engaged in container transportation at a seaport terminal. OBJECTIVES: Using the container terminal at Klaipeda in Lithuania as the background for the research, we produced an improved energy consumption model for measuring the theoretical energy consumption and regeneration of diesel trucks at the terminal and provide a comparative analysis. METHODS: We created a mathematical model which describes the instantaneous energy consumption of the diesel trucks, taking into account their dynamic properties and the overall geometry of their routes-"Ship-Truck-Stack-Ship"-using the superposition principle. We investigated other critical parameters relevant to the model and provide a statistical evaluation of the transportation process using data from a case study of Klaipeda port, where we collected measurements of container transportation parameters using georeferenced movement detection and logs from wireless equipment positioned on the diesel-powered container trucks. RESULTS: The modeling results showed that an instantaneous evaluation of energy consumption can reveal areas in the container transportation process which have the highest energy loss and require the introduction of new management and process control initiatives to address the regulations which are designed to decrease harmful industrial emissions and encourage novel technologies and thereby increase the eco-friendliness of existing systems. CONCLUSION: Based on the research results, the article can provide a reference for the estimation of diesel truck efficiency in seaport terminal operations.

Advanced Approach of Multiagent Based Buoy Communication.

Usually, a hydrometeorological information system is faced with great data flows, but the data levels are often excessive, depending on the observed region of the water. The paper presents advanced buoy communication technologies based on multiagent interaction and data exchange between several monitoring system nodes. The proposed management of buoy communication is based on a clustering algorithm, which enables the performance of the hydrometeorological information system to be enhanced. The experiment is based on the design and analysis of the inexpensive but reliable Baltic Sea autonomous monitoring network (buoys), which would be able to continuously monitor and collect temperature, waviness, and other required data. The proposed approach of multiagent based buoy communication enables all the data from the costal-based station to be monitored with limited transition speed by setting different tasks for the agent-based buoy system according to the clustering information.