13 results match your criteria: "University of Economics and Innovation in Lublin[Affiliation]"

Life cycle analysis (LCA) is a popular tool for determining the environmental impacts of a product in use. The aim of this study is to carry out a life cycle analysis, gate-to-gate, of a mass packaging process using a polyethylene shrinking film with a focus on energy consumption, raw material use and associated emissions, and film post-consumer disposal scenarios. Two different scenarios for the disposal of the shrinking film used in the packaging process were analyzed, namely recycling and landfills.

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The research described herein is based on the assumptions of the sensory processing sensitivity concept and the meta framework for the concept of environmental sensitivity. The adopted theoretical framework shows that individuals differ in their sensitivity to the environment, with some being more sensitive than others. From the evolutionary perspective, it has also been assumed that sensory processing sensitivity follows a normal distribution in the population, with a minority being exceptionally or highly sensitive to environmental stimuli.

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Introduction: mental health has been one of the most important issues surrounding the COVID-19 pandemic; mental disorders can be exacerbated by isolation during lockdowns or online learning. The aim of this study was to analyze the relationship between non-clinical (early) symptoms of depressed moods, personality traits, and coping strategies, as well as whether the learning mode (online versus hybrid) differentiates the experiences of these early symptoms and coping strategies.

Methods: 114 university students aged 19 to 34, whose education model was changed from stationary to hybrid or online due to COVID-19 restrictions, participated in the study.

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The innovative Eye Movement Modelling Examples (EMMEs) method can be used in medicine as an educational training tool for the assessment and verification of students and professionals. Our work was intended to analyse the possibility of using eye tracking tools to verify the skills and training of people engaged in laboratory medicine on the example of parasitological diagnostics. Professionally active laboratory diagnosticians working in a multi-profile laboratory (non-parasitological) ( = 16), laboratory diagnosticians no longer working in this profession ( = 10), and medical analyst students ( = 56), participated in the study.

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Currently, a very important thread of research on COVID-19 is to determine the dimension of the psychopathological emotional reactions induced by the COVID-19 pandemic. A non-experimental online research project was designed to determine the predictors of the severity of psychopathological symptoms, such as depression and PTSD symptoms, and the nature of the feedback mechanism between them in groups of men, remaining in hospital isolation due to infection and at-home isolation during the COVID-19 epidemic. The presence of symptoms of depression, post-traumatic stress disorder (PTSD) and a sense of threat due to the pandemic were assessed using the following screening tests: IES-R by Weiss and Marmar, PHQ-9 by Spitzer et al.

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Electrical Tomography Reconstruction Using Reconfigurable Waveforms in a FPGA.

Sensors (Basel)

May 2021

Institute of Computer Science and Innovative Technologies, University of Economics and Innovation in Lublin, 20-209 Lublin, Poland.

The principal objective of this research is to conceive a mobile system based on electrical tomography for subsurface imaging and monitoring in order to enable simultaneous recording of electrical potentials of cardiac and pulmonary activity. For an exploration of excitation waveforms in electrical tomography, specialized hardware is required. As the main principle of tomography is the measurement of electrical perturbations on an unknown object, it is crucial to synchronize excitation and sensing processes in a very precise way for the purpose of acquiring meaningful data.

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The paper presents the results of research on the hybrid industrial tomograph electrical impedance tomography (EIT) and ultrasonic tomography (UST) (EIT-UST), operating on the basis of electrical and ultrasonic data. The emphasis of the research was placed on the algorithmic domain. However, it should be emphasized that all hardware components of the hybrid tomograph, including electronics, sensors and transducers, have been designed and mostly made in the Netrix S.

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The main goal of the research presented in this paper was to develop a refined machine learning algorithm for industrial tomography applications. The article presents algorithms based on logistic regression in relation to image reconstruction using electrical impedance tomography (EIT) and ultrasound transmission tomography (UST). The test object was a tank filled with water in which reconstructed objects were placed.

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The main goal of this work was to compare the selected machine learning methods with the classic deterministic method in the industrial field of electrical impedance tomography. The research focused on the development and comparison of algorithms and models for the analysis and reconstruction of data using electrical tomography. The novelty was the use of original machine learning algorithms.

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Acoustic Neurofeedback Increases Beta ERD During Mental Rotation Task.

Appl Psychophysiol Biofeedback

June 2019

Department of Neuroinformatics, Institute of Computer Science, Maria Curie-Sklodowska University, Akademicka 9/509, 20-033, Lublin, Poland.

The purpose of the present study was to identify the effect of acoustic neurofeedback on brain activity during consecutive stages of mental rotation of 3D objects. Given the fact that the process of mental rotation of objects is associated with desynchronisation of beta rhythm (beta ERD), it was expected that suppression in this band would be greater in the experimental group than in the controls. Thirty-three participants were randomly allocated to two groups performing the classic Shepard-Metzler mental rotation task (1971).

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Article Synopsis
  • The article discusses a new non-destructive method for analyzing moisture in walls and buildings, especially for historical structures, using electrical tomography.
  • A specialized hybrid tomograph with sensors was developed to collect data that can be reconstructed into 2D and 3D images of moisture levels in building materials like bricks and cement.
  • The research also involved analyzing various machine learning algorithms to improve the accuracy, efficiency, and cost-effectiveness of the imaging process for different types of walls.
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Objective: The aim of the study was investigation of the correlations between medical indicators of the course of illness and psychological factors, treated as generalised resistance resources, according to the Salutogenic Model by A.Antonovsky. The salutogenic orientation is one of the more viable paradigms for health promotion research and practice, and is offered as a useful theory for taking a salutogenic approach to health research.

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This paper deals with microcracks in dental filling material and hard tissues of the teeth treated conservatively. Human teeth, removed due to orthodontic or surgical reasons, were the subject of those research studies. The studies have been conducted in vitro with the application of mastication simulator.

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