bluuebunny/crossref_metadata_2025 huggingface dataset:
Low-Complexity 3D InISAR Imaging Using a Compressive Hardware Device and a Single Receiver
Authors: Lo Mor Diama , Davy Matthieu , Ferro-Famil Laurent
Published: August 2022

An Interferometric Inverse SAR system is able to perform 3D imaging of non-cooperative targets by measuring their responses over time and through several receiving antennas. Phase differences between signals acquired with a spatial diversity in vertical or horizontal directions are used to localize moving scatterers in 3D. The use of several receiving channels generally results into a costly and complex hardware solution, and this paper proposes performing this multichannel acquisition using a single receiver and a hardware compressive device, based on a chaotic cavity which simultaneously multiplexes in the spectral domain signals acquired over different antennas. The radar responses of the scene are encoded in the spectral domain onto the single output of a leaky chaotic cavity, and can be retrieved by solving an inverse problem involving the random transfer matrix of the cavity. The applicability of this compressed sensing approach for the 3D imaging of a non-cooperative target using low-complexity hardware is demonstrated using both simulations and measurements. This study opens up new perspectives to reduce the hardware complexity of high-resolution ISAR systems.
Development of a High-Linearity Voltage and Current Probe with a Floating Toroidal Coil: Principle, Demonstration, Design Optimization, and Evaluation
Authors: Kim Si-jun , Seong In-ho , Lee Young-seok , Cho Chul-hee , Jeong Won-nyoung , You Ye-bin , Lee Jang-jae , You Shin-jae
Published: August 2022

As the conventional voltage and current (VI) probes widely used in plasma diagnostics have separate voltage and current sensors, crosstalk between the sensors leads to degradation of measurement linearity, which is related to practical accuracy. Here, we propose a VI probe with a floating toroidal coil that plays both roles of a voltage and current sensor and is thus free from crosstalk. The operation principle and optimization conditions of the VI probe are demonstrated and established via three-dimensional electromagnetic wave simulation. Based on the optimization results, the proposed VI probe is fabricated and calibrated for the root-mean-square (RMS) voltage and current with a high-voltage probe and a vector network analyzer. Then, it is evaluated through a comparison with a commercial VI probe, with the results demonstrating that the fabricated VI probe achieved a slightly higher linearity than the commercial probe: R2 of 0.9967 and 0.9938 for RMS voltage and current, respectively. The proposed VI probe is believed to be applicable to plasma diagnostics as well as process monitoring with higher accuracy.
Towards Trustworthy Energy Disaggregation: A Review of Challenges, Methods, and Perspectives for Non-Intrusive Load Monitoring
Authors: Kaselimi Maria , Protopapadakis Eftychios , Voulodimos Athanasios , Doulamis Nikolaos , Doulamis Anastasios
Published: August 2022

Non-intrusive load monitoring (NILM) is the task of disaggregating the total power consumption into its individual sub-components. Over the years, signal processing and machine learning algorithms have been combined to achieve this. Many publications and extensive research works are performed on energy disaggregation or NILM for the state-of-the-art methods to reach the desired performance. The initial interest of the scientific community to formulate and describe mathematically the NILM problem using machine learning tools has now shifted into a more practical NILM. Currently, we are in the mature NILM period where there is an attempt for NILM to be applied in real-life application scenarios. Thus, the complexity of the algorithms, transferability, reliability, practicality, and, in general, trustworthiness are the main issues of interest. This review narrows the gap between the early immature NILM era and the mature one. In particular, the paper provides a comprehensive literature review of the NILM methods for residential appliances only. The paper analyzes, summarizes, and presents the outcomes of a large number of recently published scholarly articles. Furthermore, the paper discusses the highlights of these methods and introduces the research dilemmas that should be taken into consideration by researchers to apply NILM methods. Finally, we show the need for transferring the traditional disaggregation models into a practical and trustworthy framework.
Time-Constrained Adversarial Defense in IoT Edge Devices through Kernel Tensor Decomposition and Multi-DNN Scheduling
Authors: Kim Myungsun , Joo Sanghyun
Published: August 2022

The development of deep learning technology has resulted in great contributions in many artificial intelligence services, but adversarial attack techniques on deep learning models are also becoming more diverse and sophisticated. IoT edge devices take cloud-independent on-device DNN (deep neural network) processing technology to exhibit a fast response time. However, if the computational complexity of the denoizer for adversarial noises is high, or if a single embedded GPU is shared by multiple DNN models, adversarial defense at the on-device level is bound to represent a long latency. To solve this problem, eDenoizer is proposed in this paper. First, it applies Tucker decomposition to reduce the computational amount required for convolutional kernel tensors in the denoizer. Second, eDenoizer effectively orchestrates both the denoizer and the model defended by the denoizer simultaneously. In addition, the priority of the CPU side can be projected onto the GPU which is completely priority-agnostic, so that the delay can be minimized when the denoizer and the defense target model are assigned a high priority. As a result of confirming through extensive experiments, the reduction of classification accuracy was very marginal, up to 1.78%, and the inference speed accompanied by adversarial defense was improved up to 51.72%.
High-Precision Cavity Length Demodulation Method for Fiber-Optic Fabry–Perot Sensors Based on Dual Superluminescent Diodes
Authors: Zhang Weiguang , Yu Jia , Zhang Xiongxing , Chen Haibin , Zhang Junying , Wang Wei
Published: August 2022

A high-precision cross-correlation cavity length demodulation method for fiber-optic Fabry–Perot (F–P) sensors based on two different wavelength superluminescent diodes (SLDs) was proposed. This method can solve the problem of low demodulation accuracy caused by the difficulty in identifying the maximum cross-correlation coefficient when the cavity length of the fiber-optic F–P fiber sensor is too short, or when the spectral bandwidth of the illuminating single-light source is too narrow. This demodulation method is based on the principle that the two main peaks of the two cross-correlation curves corresponding to two different spectral ranges should match, and the average value of the two calculated cavity lengths corresponding to the two matched peaks is determined as the real cavity length. The cavity length demodulation of fiber-optic F–P sensors in the range of 20–200 μm shows a maximum measurement deviation of 0.008 μm, which is significantly smaller than the demodulation result obtained with a single light source, and the standard deviation of the measurement results is only approximately 0.0005 μm, indicating the high precision and stability of a dual SLD cross-correlation demodulation method.
YOLOv5-AC: Attention Mechanism-Based Lightweight YOLOv5 for Track Pedestrian Detection
Authors: Lv Haohui , Yan Hanbing , Liu Keyang , Zhou Zhenwu , Jing Junjie
Published: August 2022

In response to the dangerous behavior of pedestrians roaming freely on unsupervised train tracks, the real-time detection of pedestrians is urgently required to ensure the safety of trains and people. Aiming to improve the low accuracy of railway pedestrian detection, the high missed-detection rate of target pedestrians, and the poor retention of non-redundant boxes, YOLOv5 is adopted as the baseline to improve the effectiveness of pedestrian detection. First of all, L1 regularization is deployed before the BN layer, and the layers with smaller influence factors are removed through sparse training to achieve the effect of model pruning. In the next moment, the context extraction module is applied to the feature extraction network, and the input features are fully extracted using receptive fields of different sizes. In addition, both the context attention module CxAM and the content attention module CnAM are added to the FPN part to correct the target position deviation in the process of feature extraction so that the accuracy of detection can be improved. What is more, DIoU_NMS is employed to replace NMS as the prediction frame screening algorithm to improve the problem of detection target loss in the case of high target coincidence. Experimental results show that compared with YOLOv5, the AP of our YOLOv5-AC model for pedestrians is 95.14%, the recall is 94.22%, and the counting frame rate is 63.1 FPS. Among them, AP and recall increased by 3.78% and 3.92%, respectively, while the detection speed increased by 57.8%. The experimental results verify that our YOLOv5-AC is an effective and accurate method for pedestrian detection in railways.
Towards Real-Time Monitoring of Thermal Peaks in Systems-on-Chip (SoC)
Authors: Oukaira Aziz , Hassan Ahmad , Ali Mohamed , Savaria Yvon , Lakhssassi Ahmed
Published: August 2022

This paper presents a method to monitor the thermal peaks that are major concerns when designing Integrated Circuits (ICs) in various advanced technologies. The method aims at detecting the thermal peak in Systems on Chip (SoC) using arrays of oscillators distributed over the area of the chip. Measured frequencies are mapped to local temperatures that are used to produce a chip thermal mapping. Then, an indication of the local temperature of a single heat source is obtained in real-time using the Gradient Direction Sensor (GDS) technique. The proposed technique does not require external sensors, and it provides a real-time monitoring of thermal peaks. This work is performed with Field-Programmable Gate Array (FPGA), which acts as a System-on-Chip, and the detected heat source is validated with a thermal camera. A maximum error of 0.3 °C is reported between thermal camera and FPGA measurements.
CLSQL: Improved Q-Learning Algorithm Based on Continuous Local Search Policy for Mobile Robot Path Planning
Authors: Ma Tian , Lyu Jiahao , Yang Jiayi , Xi Runtao , Li Yuancheng , An Jinpeng , Li Chao
Published: August 2022

How to generate the path planning of mobile robots quickly is a problem in the field of robotics. The Q-learning(QL) algorithm has recently become increasingly used in the field of mobile robot path planning. However, its selection policy is blind in most cases in the early search process, which slows down the convergence of optimal solutions, especially in a complex environment. Therefore, in this paper, we propose a continuous local search Q-Learning (CLSQL) algorithm to solve these problems and ensure the quality of the planned path. First, the global environment is gradually divided into independent local environments. Then, the intermediate points are searched in each local environment with prior knowledge. After that, the search between each intermediate point is realized to reach the destination point. At last, by comparing other RL-based algorithms, the proposed method improves the convergence speed and computation time while ensuring the optimal path.
Piezoelectric Energy Harvesting from Low-Frequency Vibrations Based on Magnetic Plucking and Indirect Impacts
Authors: Rosso Michele , Nastro Alessandro , Baù Marco , Ferrari Marco , Ferrari Vittorio , Corigliano Alberto , Ardito Raffaele
Published: August 2022

This work proposes a mono-axial piezoelectric energy harvester based on the innovative combination of magnetic plucking and indirect impacts, e.g., impacts happening on the package of the harvester. The harvester exploits a permanent magnet placed on a non-magnetic mass, free to move within a predefined bounded region located in front of a piezoelectric bimorph cantilever equipped with a magnet as the tip mass. When the harvester is subjected to a low-frequency external acceleration, the moving mass induces an abrupt deflection and release of the cantilever by means of magnetic coupling, followed by impacts of the same mass against the harvester package. The combined effect of magnetic plucking and indirect impacts induces a frequency up-conversion. A prototype has been designed, fabricated, fastened to the wrist of a person by means of a wristband, and experimentally tested for different motion levels. By setting the magnets in a repulsive configuration, after 50 s of consecutive impacts induced by shaking, an energy of 253.41 μJ has been stored: this value is seven times higher compared to the case of harvester subjected to indirect impacts only, i.e., without magnetic coupling. This confirms that the combination of magnetic plucking and indirect impacts triggers the effective scavenging of electrical energy even from low-frequency non-periodical mechanical movements, such as human motion, while preserving the reliability of piezoelectric components.
A Salinity–Temperature Sensor Based on Microwave Resonance Reflection
Authors: Bogucki Darek J. , Snowdon Tom , Doerr Jennifer C. , Serafy Joseph E.
Published: August 2022

We developed and tested a microwave in situ salinity sensor (MiSSo) to simultaneously measure salinity and temperature within the same water sample over broad ranges of salinity (S) (3–50 psu) and temperature (T) (3–30 °C). Modern aquatic S sensors rely on measurements of conductivity (C) between a set of electrodes contained within a small volume of water. To determine water salt content or S, conductivity, or C, measurements must be augmented with concurrent T measurements from the same water volume. In practice, modern S sensors do not sample C and T within the same volume, resulting in the S determination characterized by measurement artifacts. These artifacts render processing vast amounts of available C and T data to derive S time-consuming and generally preclude automated processing. Our MiSSo approach eliminates the need for an additional T sensor, as it permits us to concurrently determine the sample S and T within the same water volume. Laboratory trials demonstrated the MiSSo accuracy of S and T measurements to be <0.1 psu and <0.1 °C, respectively, when using microwave reflections at 11 distinct frequencies. Each measurement took 0.1 μs. Our results demonstrate a new physical method that permits the accurate S and T determination within the same water volume.
Personal Digital Twin: A Close Look into the Present and a Step towards the Future of Personalised Healthcare Industry
Authors: Sahal Radhya , Alsamhi Saeed H. , Brown Kenneth N.
Published: August 2022

Digital twins (DTs) play a vital role in revolutionising the healthcare industry, leading to more personalised, intelligent, and proactive healthcare. With the evolution of personalised healthcare, there is a significant need to represent a virtual replica for individuals to provide the right type of care in the right way and at the right time. Therefore, in this paper, we surveyed the concept of a personal digital twin (PDT) as an enhanced version of the DT with actionable insight capabilities. In particular, PDT can bring value to patients by enabling more accurate decision making and proper treatment selection and optimisation. Then, we explored the progression of PDT as a revolutionary technology in healthcare research and industry. However, although several research works have been performed for smart healthcare using DT, PDT is still at an early stage. Consequently, we believe that this work can be a step towards smart personalised healthcare industry by guiding the design of industrial personalised healthcare systems. Accordingly, we introduced a reference framework that empowers smart personalised healthcare using PDTs by bringing together existing advanced technologies (i.e., DT, blockchain, and AI). Then, we described some selected use cases, including the mitigation of COVID-19 contagion, COVID-19 survivor follow-up care, personalised COVID-19 medicine, personalised osteoporosis prevention, personalised cancer survivor follow-up care, and personalised nutrition. Finally, we identified further challenges to pave the PDT paradigm toward the smart personalised healthcare industry.
Alpine Skiing Activity Recognition Using Smartphone’s IMUs
Authors: Azadi Behrooz , Haslgrübler Michael , Anzengruber-Tanase Bernhard , Grünberger Stefan , Ferscha Alois
Published: August 2022

Many studies on alpine skiing are limited to a few gates or collected data in controlled conditions. In contrast, it is more functional to have a sensor setup and a fast algorithm that can work in any situation, collect data, and distinguish alpine skiing activities for further analysis. This study aims to detect alpine skiing activities via smartphone inertial measurement units (IMU) in an unsupervised manner that is feasible for daily use. Data of full skiing sessions from novice to expert skiers were collected in varied conditions using smartphone IMU. The recorded data is preprocessed and analyzed using unsupervised algorithms to distinguish skiing activities from the other possible activities during a day of skiing. We employed a windowing strategy to extract features from different combinations of window size and sliding rate. To reduce the dimensionality of extracted features, we used Principal Component Analysis. Three unsupervised techniques were examined and compared: KMeans, Ward’s methods, and Gaussian Mixture Model. The results show that unsupervised learning can detect alpine skiing activities accurately independent of skiers’ skill level in any condition. Among the studied methods and settings, the best model had 99.25% accuracy.
Anisotropic CdSe Tetrapods in Vortex Flow for Removing Non-Specific Binding and Increasing Protein Capture
Authors: Liu Hanzhe , Ahn Dong June
Published: August 2022

Non-specific binding (NSB) is one of the important issues in biosensing performance. Herein, we designed a strategy for removing non-specific binding including anti-mouse IgG antibody and bovine serum albumin (BSA) by utilizing anisotropic cadmium selenide tetrapods (CdSe TPs) in a vortex flow. The shear force on the tetrapod nanoparticles was increased by controlling the rotation rate of the vortex flow from 0 rpm to 1000 rpm. As a result, photoluminescence (PL) signals of fluorescein (FITC)-conjugated protein, anti-mouse IgG antibody-FITC and bovine serum albumin (BSA)-FITC, were reduced by 35% and 45%, respectively, indicating that NSB can be removed under vortex flow. In particular, simultaneous NSB removal and protein capture can be achieved even with mixture solutions of target antibodies and anti-mouse IgG antibodies by applying cyclic mode vortex flow on anisotropic CdSe TPs. These results demonstrate successfully that NSB can be diminished by rotating CdSe TPs to generate shear force under vortex flow. This study opens up new research protocols for utilization of anisotropic nanoparticles under vortex flow, which increases the feasibility of protein capture and non-specific proteins removal for biosensors.
Separation of Monosaccharide Anomers on Photo-Click Cysteine-Based Stationary Phase: The α/β Interconversion Process Studied by Dynamic Hydrophilic Liquid Chromatography
Authors: Calcaterra Andrea , Manetto Simone , Buonsenso Fabio , Francioso Antonio , Pierini Marco , Villani Claudio
Published: August 2022

In High-Performance Liquid Chromatography (HPLC), the separation of reducing sugars can typically show three possible typologies of chromatographic profiles (i.e., single peak, two resolved peaks and two peaks interconnected by a plateau) due to the rate at which the relevant α/β anomers interconversion (anomerization) can take place in relation to their elution-time. By analyzing these chromatographic profiles, thermodynamic and kinetic properties of anomerization phenomenon can be extrapolated. In this work we studied the anomerization of some monosaccharides by using a recently developed photo-click cysteine-based stationary phase through dynamic hydrophilic interaction liquid chromatography (D-HILIC) conditions. In the 5–25 °C temperature range, the ΔG#α→β and ΔG#β→α barriers were found to achieve values within the interval 21.1/22.2 kcal/mol for glucose, with differences between α→β and β→α reactions of about 0.4 kcal/mol. For xylose, in the same temperature range, the ΔG#α→β and ΔG#β→α barriers are between 20.7 to 21.5 kcal/mol, with differences between α→β and β→α reactions of about 0.2 kcal/mol. The experimental data are in agreement with those reported in literature, confirming the this new stationary phase using HILIC conditions is a robust platform to measure kinetic and thermodynamic properties of the isomerization reaction.
A Multi-Analytical Characterization of Mortars from Kathmandu (Nepal) Historical Monuments
Authors: Tsoupra Anna , Maharjan Monalisa , Teixeira Dora , Candeias Antonio , Galacho Cristina , Moita Patrícia
Published: August 2022

The historical monuments of the ‘City of Temples’ (Kathmandu) represent an intrinsic component of Nepal’s cultural heritage. The 2015 devastating Gorkha earthquake, besides human casualties, has led to a widespread demolition or partial damage of monuments at UNESCO World Heritage Sites, including the ones in Durbar squares. This study, through an integrated material characterization of masonry binders, used in four case monuments from Hanuman Dhoka and Patan Durbar squares, intends to contribute to the knowledge of the technological know-how of the past in order to maintain as much as possible the original traditions and to provide appropriate conservation strategies. The analytical characterization of the ancient mortars was carried out by means of X-ray Diffraction (XRD), Attenuated Total Reflectance–Fourier Transform-Infrared Spectroscopy (ATR-FTIR), Thermogravimetric Analysis (TGA), petrographic analysis, X-ray Fluorescence spectroscopy (XRF) and Pyrolysis–Gas Chromatography–Mass Spectrometry (Py-GC-MS). The composition of the mortars has been determined and is in accordance with previous research in traditional materials used in the Nepalese architecture. Chromatographic techniques proved to be particularly important in the analysis of mortars with organic binders as they revealed the possible composition of the binding media, providing additional information valuable for the future conservation/restoration of the stone monuments of the ‘City of Temples’.
Prediction and Evaluation of Electricity Price in Restructured Power Systems Using Gaussian Process Time Series Modeling
Authors: Dejamkhooy Abdolmajid , Ahmadpour Ali
Published: August 2022

The electricity market is particularly complex due to the different arrangements and structures of its participants. If the energy price in this market presents in a conceptual and well-known way, the complexity of the market will be greatly reduced. Drastic changes in the supply and demand markets are a challenge for electricity prices (EPs), which necessitates the short-term forecasting of EPs. In this study, two restructured power systems are considered, and the EPs of these systems are entirely and accurately predicted using a Gaussian process (GP) model that is adapted for time series predictions. In this modeling, various models of the GP, including dynamic, static, direct, and indirect, as well as their mixture models, are used and investigated. The effectiveness and accuracy of these models are compared using appropriate evaluation indicators. The results show that the combinations of the GP models have lower errors than individual models, and the dynamic indirect GP was chosen as the best model.
Housing Infrastructure as a Determinant of Quality of Life in Selected Polish Smart Cities
Authors: Jonek-Kowalska Izabela
Published: August 2022

In the concept of the Smart City, the issue of quality of life of residents is strongly emphasized. In theory and practice, the quality of urban life is determined by a wide variety of factors. This article focuses on housing infrastructure as a determinant of the quality of life in selected Polish Smart Cities and seeks answers to the question: What is the level of variation in the availability and quality of housing infrastructure in the studied cities and against the provinces in which they are located? In solving the research problem formulated in this way, the following were used: (1) Indicators determining the quality and accessibility of housing infrastructure at the level of the studied cities and provinces; (2) a multiple case study (for eight cities from different regions of Poland); and (3) a comparative analysis conducted at the level of the cities and provinces in which they operate. The resulting analyses indicate that there are differences in the availability and quality of housing infrastructure at the level of smart cities and provinces representing the regional average. The analyzed cities—in all the criteria studied (except the area of the apartment)—dominate over the provinces, which means that they have larger and better housing resources than the rest of the region.
Teacher Training, Research and Professional Development in a Neoliberal School: A Transformative Experience in Social Sciences
Authors: Luna Diego , Pineda-Alfonso José Antonio , García-Pérez Francisco F. , Leal da Costa Conceição
Published: August 2022

In recent decades, discourse on quality, school effectiveness, autonomy, and accountability, among other topics, has been used to try to transform schools. This paper explores this situation from the teaching perspective of one of its authors. Using autoethnography as a research and formative strategy, a mixed category system is constructed by combining a central category (“Neoliberal school”) theoretically and deductively with three other subcategories of an emergent and inductive nature according to the parameters of grounded theory. The results reflect different perceptions of neoliberal educational discourse that depend on the discursive field in question (policy framework, school, department, or classroom). The conclusions underline the potential of autoethnography for understanding the current school reality and teacher professional development.
Formation of coping strategies in vibration disease from the action of local and general vibration
Authors:   Federal State Budgetary Educational Institution of Higher Education «Samara State Medical University» of the Ministry of Health of the Russian Federation, Babanov S. A. , Tatarovskaya N. A. ,   Federal State Budgetary Educational Institution of Higher Education «Samara State Medical University» of the Ministry of Health of the Russian Federation, Kiryushina T. M. ,   Federal State Budgetary Educational Institution of Higher Education «Samara State Medical University» of the Ministry of Health of the Russian Federation, Lotkov V. S. ,   Federal State Budgetary Educational Institution of Higher Education «Samara State Medical University» of the Ministry of Health of the Russian Federation
Published: August 2022

Coping strategies is purposeful social behavior that allows coping with a difficult life situation through conscious action strategies. The purpose of the study is to identify the features of the clinical picture and coping strategies (behavior) of patients with vibration disease of various types and severity (from the action of local and general vibration). Research methods. The study of coping strategies was carried out using the Lazarus coping test. This test is designed to determine coping mechanisms, ways to overcome difficulties in various areas of mental activity, coping strategies. Conclusions. The dynamics of changes in indicators depending on the type of vibration and the severity of the disease was revealed. This is typical for the following coping strategies: «confron tation», «self-control», «search for social support», «acceptance of responsibility», «escape — avoidance» and «planning».
Features of the respiratory function state under conditions of industrial exposure to polychlorinated hydrocarbons
Authors:   FSBEI HE Samara State Medical University of the Ministry of Health of the Russian Federation, Samara, Russia, Lotkov V. S. , Babanov S. A. ,   FSBEI HE Samara State Medical University of the Ministry of Health of the Russian Federation, Samara, Russia, Dudintseva N. V. ,   FSBEI HE Samara State Medical University of the Ministry of Health of the Russian Federation, Samara, Russia
Published: August 2022

The article assesses the functional and morphological changes in the respiratory system under chronic exposure to polychlorinated hydrocarbons.
Integrative level of anxiety in medical workers during the COVID-19 pandemic
Authors:   FSBEI HE Samara State Medical University of the Ministry of Health of the Russian Federation, Ostryakova N. A. , Babanov S. A. ,   FSBEI HE Samara State Medical University of the Ministry of Health of the Russian Federation, Lotkov V. S. ,   FSBEI HE Samara State Medical University of the Ministry of Health of the Russian Federation, Boguslavskiy D. G. ,   FSBEI HE Samara State Medical University of the Ministry of Health of the Russian Federation
Published: August 2022

The integrative level of anxiety in medical workers during the COVID-19 pandemic has been analyzed. The purpose of the study is to investigate the features of the manifestation of situational anxiety in medical personnel working on the front line with COVID-19 patients and in those working in other areas of medicine during the coronavirus pandemic. Research methods: to study the components of situational anxiety in medical personnel, the methodology «Application of an Integrative Anxiety Test» was used. Research results. Among medical workers of COVID hospitals providing medical care to patients with COVID-19, the «alarming outlook assessment» indicator prevails. The medical workers of hospitals providing medical care in their main profile, working in the «usual mode» and periodically identifying patients with the novel coronavirus infection COVID-19, are dominated by the «asthenic component» indicator. In outpatient medical workers providing medical care in conditions of an increased epidemic threshold for SARS, influenza and the novel coronavirus infection COVID-19, the «phobic component» indicator prevails.
Spatial resource modeling of agricultural land use for sustainable crop production
Authors:   Omsk State University, Department of Land Management, Omsk, Rogatnev U. M. , Medanova K. V. ,   Omsk State University, Department of Land Management, Omsk
Published: August 2022

Agriculture requires balanced amount of different-quality land resources, labor force and assets for sustainable and efficient functioning. The efficiency of any production is achieved by increasing the productivity of labor and other basic factors of production, as well as by saving costs. The necessity and possibility of modeling to form land use of an agricultural organization are discussed in this work. The authors specified object and subject of modeling, and also established the parameters of agricultural land use for the northern forest-steppe zone of the Omsk region ensuring the sustainable efficiency of crop production. The order of implementation of the spatial-resource modeling is shown in this paper as well.
ON THE CONCLUSION OF THE SPECIALIST
Authors: Bielik Larysa
Published: August 2022

The article is devoted to the issues of modern legislative regulation regarding the grounds and requirements for the execution of a conclusion by a specialist in criminal proceedings. The scientific works of outstanding domestic and foreign scientists are analyzed and their great contribution to the study of this topic is indicated.
Since they conduct a fundamental analysis of the domestic and foreign heritage on
this issue, they help to determine the further debatable direction and carry out the
subsequent scientific search.
Articles of the Criminal Procedure Code of Ukraine and the Criminal Code of Ukraine regarding the requirements for drawing up a written conclusion of a specialist, as well as articles on the responsibility of an expert and a specialist for introducing false information into the conclusion of the study prepared by them, have been carefully researched and analyzed, and the boundaries of the emergence of a certain responsibility are indicated. It is indicated that the expert's conclusion as one of the sources of evidence in the case allows, at the appropriate scientific level, to objectively and fully solve the designated tasks that require the use of special knowledge.
The norms of the Law of Ukraine “On Amendments to Certain Legislative Acts of Ukraine in connection with the adoption of the Law of Ukraine “On Amendments to Certain Legislative Acts of Ukraine on Simplification of Pre-trial Investigation of Certain Categories of Criminal Offenses” are analyzed. It is indicated that a written conclusion of a specialist can be obtained to clarify the circumstances of the commission of a criminal offense before entering information into the Unified Register of Pre-trial Investigations. It is also indicated that the conclusion of a specialist is recognized as a procedural source of evidence in criminal proceedings on criminal offenses with the proviso that such a procedural source of evidence cannot be used in criminal proceedings for a crime, except on the basis of a ruling by an investigating judge, which is issued at the request of the prosecutor. A comparative analysis was carried out regarding the content of the conclusions of the expert with the conclusions of the specialist. The general and distinctive positions in the written content of the conclusions of a specialist and an expert are indicated.

Key words: specialist, expert, the conclusion of a specialist, the conclusion of an expert, criminal offense.
Conectando: sala de aula e histórias em quadrinhos
Authors: Buzato Gláucia , Fernandes Hylio Laganá
Published: August 2022

Ser educadora e ter a liberdade em definir quais os melhores caminhos para o desenvolvimento do aprendizado é muito gratificante, aqui relato a experiência em adotar as histórias em quadrinhos (HQ) a partir de um viés pedagógico para o desenvolvimento da alfabetização - colaborar a sequenciar pensamentos e estabelecer sentidos de leitura  para a produção escrita, incremento de vocabulário e o aprendizado específico da figura de linguagem onomatopéia. O objetivo principal é demonstrar através do material imagético de produção de HQs, o desenvolvimento do sequenciamento do pensamento. Foi empregada a metodologia de pesquisa-ação e utilizada análise de conteúdo. Participaram 24 crianças, sendo 45% dos participantes meninos e 92% dos participantes alfabetizados, a escola é classificada como rural e encontra-se na região metropolitana de Sorocaba/SP. Nos resultados parciais da pesquisa-ação, há indícios do desenvolvimento do sequenciamento de pensamentos que podem ser observados na produção de HQs dos alunos.
Análise exergética em bancada de ciclo de refrigeração por compressão de vapor
Authors: Pereira Jáder Batista , Araújo Caio Cesar Silva , Rezende Túlio Tito Godinho de , Guimarães Luiz Gustavo Monteiro , Silva José Antônio da , Teixeira Flávio Neves , Guzella Matheus dos Santos
Published: August 2022

A análise exergética é uma ferramenta que vem sendo utilizada com sucesso em diversos estudos visando um uso mais racional da energia e reduzindo o custo dos processos. Com esta análise é possível realizar uma avaliação do processo global, localizando e quantificando a degradação da exergia. Neste contexto, o presente trabalho teve como objetivo fazer análise exergética em um ciclo de refrigeração por compressão de vapor utilizando bancada didática modelo T7082, disponível no laboratório de Ciências Térmicas e de Fluidos da Universidade Federal de São João Del Rei. Foi estudada a influência da temperatura de condensação sobre a destruição de exergia de cada componente. O programa Engineering Equation Solver (EES) foi usado para obter as propriedades termodinâmicas do fluido de trabalho (R134a) e para executar os balanços exergéticos. Neste estudo, constatou-se que a bancada trabalhava com 25% da carga total de gás e que, para todas as condições de funcionamento estudadas, o dispositivo que mais destruiu exergia foi o compressor, seguido por evaporador, dispositivo de expansão e condensador.
Seleção de forças interfásicas bolha-água para um modelo CFD por meio da comparação entre modelo numérico e modelo experimental
Authors: Ribeiro Rodrigo Garcia , Silva Carlos Antônio da , Peixoto Johne Jesus Mol , Guedes Felipe Alves
Published: August 2022

O presente estudo mostra a aplicação do uso conjunto de um modelo experimental e de simulações numéricas para o estudo do escoamento em moldes de Lingotamento Contínuo. O modelo experimental foi utilizado para a medição do tamanho das bolhas de ar injetadas no molde, para as vazões de ar de  3 L/min e 6 L/min. A medição do tamanho das bolhas serviu como input para as simulações e evidenciou que a mudança de vazão pouco influencia no tamanho das bolhas. As simulações testaram as sete combinações possíveis entre as forças interfásicas de Sustentação, Massa Virtual (FMV) e Gradiente de Pressão (FGP). As combinações de força que mostraram maior semelhança com o modelo experimental foram  as combinações “Sustentação”,  “FMV”,  “FGP”, “Sustentação + FGP” e “FMV + FGP”.
A satisfação profissional da equipe de enfermagem atuante em Unidade Terapia Intensiva - revisão de literatura
Authors: Lima Janaína Ferreira de , Silva Vanizia Regina de Pádua Antunes da
Published: August 2022

Introdução: O trabalho exerce um papel importante na formação dos valores básicos do ser humano e que, auxilia para o progresso de sua identidade, proporciona renda e sustento, atingindo metas e objetivos de vida, assim como demonstrar suas ações, iniciativas e habilidades. Compreende-se que, para o exercício apropriado e satisfatório de uma determinada profissão são imprescindíveis a motivação e a valorização do profissional em seu ambiente de trabalho. Objetivo: O presente estudo tem teve como objetivo analisar a satisfação profissional da equipe de enfermagem atuante em unidade terapia intensiva (UTI). Metodologia: Trata-se de uma Revisão Interativa (RI). A Seleção do referencial teórico fora realizada nos meses de setembro a janeiro de 2022. Resultados: Entende-se que a motivação no trabalho da equipe de enfermagem sofre influência de diversos fatores e que em vários momentos sua frustração é justificável. Referente ao domínio autonomia, os enfermeiros consideram como um aspecto importante no seu processo de trabalho e que interfere positivamente na prática profissional, resultando qualidade do cuidado. Já em relação a remuneração, a equipe de enfermagem não considera tal como um fator isolado, além de ser o domínio com pior grau de satisfação, seguido pelas condições de trabalho que inclui a carga horária exaustiva. Conclusão: Os estudos sobre satisfação profissional na enfermagem ainda são escassos, principalmente em Unidade Terapia Intensivos (UTI), o que evidencia a necessidade de demais pesquisas sobre a temática.
Determinants of Self-care Behaviors in Diabetic Patients in Yazd: An Application of the Protection Motivation Theory
Authors: Rahaei Zohreh , Eshghi Sorayya , Afkhami Faezeh , Khazir Zahra
Published: August 2022

Background: Diabetes is an increasingly important public health concern. Self-care behaviors should be improved to help diabetic patients better control the disease, highlighting the importance of understanding the factors that affect a diabetic patient’s self-care behaviors. Therefore, the goal of the present study was to determine factors related to self-care behaviors in patients with type 2 diabetes (T2D) using the protection motivation theory (PMT). Methods: In general, 160 type 2 diabetic patients referring to Yazd Diabetes Research Center were randomly selected and included in this analytical cross-sectional study. The data were gathered by a reliable and valid questionnaire, which is a summary of a multi-question questionnaire. It included PMT constructs and demographic information through interviewing the patients. Finally, data were analyzed using t test, ANOVA, linear regression, and Pearson correlation tests. Results: The mean age of the patients and the mean self-care behaviors were 55.87±9.62 years and 37.56±12.94, respectively. In the regression model, perceived susceptibility (β=0.294, P<0.001) and protection motivation (β=0.247, P=0.003) were significant predictors of diabetes self-care behaviors. This model was able to explain 20% of the variance of these behaviors. Conclusion: PMT is effective in recognizing the determinants of diabetes self-care behaviors; therefore, to increase patients’ motivation to adopt diabetes self-care behaviors, a framework similar to this theory can be used to design educational programs. It is suggested that other studies in the field of self-care be conducted with other educational models in different populations of patients, and their results be compared accordingly.
Effect of Community-Based Health Education Campaign Based on the Theory of Planned Behavior on Reduction of Hookah Smoking Among Women in Hormoz Island in the South of Iran
Authors: Shahriyarimoghadam Shiva , Aghamolaei Teamur , Hosseini Zahra , Farshidi Hossain , Ghanbarnejad Amin
Published: August 2022

Background: Hookah smoking is considered a health problem in women and interventions should be designed to reduce it. This study aimed to explore the effect of an educational campaign based on the theory of planned behavior (TPB) on the reduction of hookah smoking. Materials and Methods: This quasi-experimental research was conducted on 177 female hookah smokers above 15 years of age residing in Hormoz Island. The data collection instrument contained two sections: demographic information and the constructs of the TPB. The questionnaire was completed twice, before the educational intervention and 3 months after the intervention. The educational campaign was conducted by making cell phone calls, putting up billboards, distributing pamphlets, holding face-to-face classes, and forming a peer group. The data were analyzed using paired-sample t-test, and McNemar’s test in SPSS version 23.0. Results: The mean age of the participants and the beginning age of smoking hookahs among the participating women were 34.16 ± 10.47 and 22.20 ± 8.45 years, respectively. After the educational campaign, there was a significant increase in the scores of the TPB constructs (attitude, subjective norms, perceived behavioral control, behavioral intention) and a reduction in hookah smoking among participants (P < 0.05). Moreover, the frequency of smoking hookah per month and per week showed a statistically significant reduction among the participants after the administration of the educational campaign (P <0.05). During this time, 6 participants stopped smoking hookah. Conclusion: In the light of the present findings, it can be concluded that the conducted educational campaign based on the TPB significantly reduced hookah smoking among girls and women.
Correlates of Tobacco Use: A Population-Based Study in Southern Iran
Authors: Farshidi Hossein , Hossain Poor Mahmoud , Dadipoor Sakineh , Zaree Faeghe , Madani Abdolhossain
Published: August 2022

Background: Around the globe, tobacco use is a major risk factor that is associated with diseases, especially noncontagious diseases. Iran has not been an exception and has witnessed an exponential growth in tobacco use. This rising trend motivated the present study to explore the correlates of tobacco use in the south of Iran in Hormozgan Province. Materials and Methods: This cross-sectional study was carried out in 2017 on 4,872 residents of Hormozgan who were selected through multi-stratified cluster sampling. The data were collected by researcher-made questionnaires which were analyzed in SPSS 19. A logistic regression analysis was run to find the foremost correlates of tobacco use. Results: The findings indicated that 1,085 (22.3%) of the sample used tobacco. Based on the obtained data, 25.1% and 20.3% of participants were males and females, respectively. The major correlates of tobacco use were found to be masculinity, higher age (P < 0.001), citizenship (P < 0.001), and low education level (P < 0.001). The unemployed or those with simple jobs showed a higher tendency to use tobacco compared to the more professional (P < 0.001). Finally, single participants demonstrated a higher rate of using tobacco in comparison with married ones (P < 0.001). Conclusion: Significant differences were found between rural and urban residents, those with low and high education levels, men and women, the unemployed and employed participants, as well as the single and married ones. Accordingly, considering effective factors accounting for these divergences and designing effective interventions can help moderate the effect of these factors in controlling tobacco use in the future in Hormozgan.
A Qualitative Content Analysis of Psychosocial Needs Affecting Hookah Use by Women
Authors: Alavi Azin , Mirzaei-Alavijeh Mehdi , Shahbazi Sighaldeh Shirin , Dadipoor Sara
Published: August 2022

Background: Hookah use has become highly popular among Iranian women. The objective of the present study was to identify the psychosocial factors affecting hookah use by women during 2018- 2019 using a conventional content analysis approach. Materials and Methods: Participants were invited to participate in a semi-structured interview by the purposeful method with maximum diversity in terms of age, education, occupation, hookah use status, and geographical areas of the city. Data were collected through in-depth individual interviews and analyzed through content analysis. The interview continued until obtaining no new category. Software MAXQDA (version 10) was used for data analysis. Results: In general, 36 participants were interviewed based on the study aim. In this study, the focus was on the category of psychosocial needs, including 9 subcategories of searching for peace of mind, inner gap, physical and psychological dependence, need for recreation, curiosity, tendency to express oneself, attraction, satisfaction, companionship and competition with others, leisure time, pleasure, and inexperience. Conclusion: Several psychosocial factors were effective in hookah use among women. Providing the necessary recreational facilities for women and families and training life skills can be effective in reducing hookah use.
An Overview of Musical Instruments in Temple Inscriptions and Sculptures
Authors: P Thivyarooba Sarma
Published: August 2022

Temple inscriptions and sculptures bear testimony to what the Tamil music tradition would have been like many years ago. Although music has not been given a special place in the history of inscriptions, many temples have images of musical instruments engraved in inscriptions and sculptures. During the reign of the king, the art of inscription and sculpture was developed. Music is an integral part of human life. Early man classified lands based on nature and associated music with divine worship. Temple inscriptions and sculptures record references to dance, song, musicians, and musical instruments. Inscriptions and sculptures are widely used to remind people of current events. There is an example for laymen and researchers to learn and understand the shapes of musical instruments. Texts such as Tamilar Music, Panchamarapu, and Tamilar Torkaruviyal give us references to many musical instruments. The shapes of the images can be seen in person in the inscriptions in the temple. Descriptions of music and musical instruments can be found in inscriptions and sculptures at Thillai Nataraja Temple in Chidambaram, Ekambaranathar Temple, Kailasanathar Temple in Kanchipuram, Mamallapuram Gangaikonda Cholapuram, Nellaiappar Temple in Tirunelveli, Tarasuram Temple in Kumbakonam, Kudavarik Temple in Tirumeyyam in Pudukottai District, Arunachaleswarar Temple in Tiruvannamalai, Thiruvattaru.