Determination of the Time-frequency Features for Impulse Components in EEG Signals.

Accurately identifying the timing and frequency characteristics of impulse components in EEG signals is essential but limited by the Heisenberg uncertainty principle. Inspired by the visual system's ability to identify objects and their locations, we propose a new method that integrates a visual system model with wavelet analysis to calculate both time and frequency features of local impulses in EEG signals. We develop a mathematical model based on invariant pattern recognition by the visual system, combined with wavelet analysis using Krawtchouk functions as the mother wavelet.

Sustainable municipal solid waste management: A comparative analysis of enablers and barriers to advance governance in the Arctic.

Despite the proliferation of studies on waste governance over the past decades, comparative research on advancing sustainable municipal solid waste management (MSWM) in medium-sized cities across various political regimes and remote geographies has been overlooked. Comprehending factors for governance advancement is critical for Arctic cities, as they face unique challenges due to their geographical remoteness, population size, economic constraints, and severe weather conditions. This qualitative study, drawn from the cases of Anchorage (USA), Murmansk (Russia), and Tromsø (Norway), uses Evolutionary Governance Theory (EGT) to examine how dependencies between actors and institutions enable and create barriers to the advancement of MSWM.

Prognostic Assessment of Stress-Related Factors in Healthcare Workers During the COVID-19 Pandemic.

Introduction: The COVID-19 pandemic is an extraordinary challenge for all countries and affects the psychological wellbeing of healthcare professionals working with people suffering from COVID-19 and puts them at a high risk of mental health problems. The aim of the study was to identify stress-related factors that affect the mental health of healthcare workers during the COVID-19 pandemic in Ukraine.

Subjects And Methods: A total of 1098 Ukrainian healthcare workers were surveyed using an online questionnaire consisting of questions relating to a) socio-demographic characteristics; b) perceptions of the COVID-19 related situation; and c) stress and protective factors.

EMOTIONAL IMPACT OF THE COVID-19 PANDEMIC ON HEALTHCARE WORKERS IN UKRAINE.

Objective: The aim: To study the emotional impact of the COVID-19 pandemic on healthcare workers in Ukraine.

Patients And Methods: Materials and methods: 1087 healthcare workers across all regions of Ukraine completed an online questionnaire. Respondents were divided into two groups: A - 863 (79.

Oil spills in the Barents Sea: The results of multiyear monitoring with synthetic aperture radar.

This paper presents the results of multiyear satellite monitoring of oil pollution in the Barents Sea conducted in 2015-2020. Monitoring was based on synthetic aperture radar (SAR) images from the European Space Agency's Sentinel-1A and Sentinel-1B satellites. During monitoring, more than 26,000 SAR images were collected and analyzed for oil pollution in the form of oil spills.