Transformation of the Functions of Higher School Teachers in Conditions of Uncertainty: Problem Statement

Introduction. In modern social and educational conditions, the process of uncertainty in pedagogical practice occurs at a rapid pace, due to the globalisation and digitalisation of education, as well as the COVID-19 pandemic. As a result, there are teachers' transformations and new functions, which cannot affect their pedagogical capabilities;therefore, the article presents a problem on this issue.Aim. The aim of this problematic article is to consider from different points of view the phenom- enon of uncertainty in pedagogical activity and the transformation of the functions of higher school teachers in the conditions of uncertainty caused by the digitalisation of education. Methodology and research methods. The work was based on the methodology of interdisciplinary analysis of theoretical sources, foreign and Russian pedagogical experience in the field of uncertainties;the method of questioning and interviewing teachers of higher education was used to identify attitudes to professional activity in conditions of uncertainty.Results and scientific novelty. In the course of the study, it was found that at the present stage of education development, the transformation of the functions of higher school teachers in conditions of uncertainty is not investigated either in Russian pedagogical practice or abroad due to the undeveloped theoretical provisions in this area of pedagogical activity. The problem is posed in the field of transfor- mation of the capabilities and functions of higher school teachers in conditions of uncertainty from the perspective of different sciences. The scientific novelty of the research is the following developed provi- sions: 1) a new interpretation of the concept of "professional functions of a teacher" is proposed, includ- ing professional competence and professional activity of a teacher in a digital educational environment within his/her subject area at the university;2) a pedagogical model of transformation of teacher func- tions in a digital educational environment is developed, including the functions of teaching, upbringing, methodological function, as well as the function of digital didactics and the digital competence function of the teacher;3) the uncertainty factors and their content that influence the process of transformation of the functions of higher school teachers are identified: technological management of pedagogical ac- tivity;pedagogical practice without emotional contact between the subjects of the educational process;self-realisation in a virtual environment;the need for design thinking;personal growth of a teacher in a digital educational environment;transformation of the functions of managing their own pedagogical practice;4) a classification of uncertainties encountered in the professional activities of higher school teachers has been developed based on two characteristics - belonging to professional educational activ- ities and digital support of pedagogical practice.Practical significance. The proposed classification and uncertainty factors influencing the process of transformation of the functions of higher school teachers can be used in pedagogical practice to deter- mine internal and external influences on teachers in the digital educational environment.

Detection of Multiple Structural Breaks in Large Covariance Matrices

This article studies multiple structural breaks in large contemporaneous covariance matrices of high-dimensional time series satisfying an approximate factor model. The breaks in the second-order moment structure of the common components are due to sudden changes in either factor loadings or covariance of latent factors, requiring appropriate transformation of the factor models to facilitate estimation of the (transformed) common factors and factor loadings via the classical principal component analysis. With the estimated factors and idiosyncratic errors, an easy-to-implement CUSUM-based detection technique is introduced to consistently estimate the location and number of breaks and correctly identify whether they originate in the common or idiosyncratic error components. The algorithms of Wild Binary Segmentation for Covariance (WBS-Cov) and Wild Sparsified Binary Segmentation for Covariance (WSBS-Cov) are used to estimate breaks in the common and idiosyncratic error components, respectively. Under some technical conditions, the asymptotic properties of the proposed methodology are derived with near-optimal rates (up to a logarithmic factor) achieved for the estimated breaks. Monte Carlo simulation studies are conducted to examine the finite-sample performance of the developed method and its comparison with other existing approaches. We finally apply our method to study the contemporaneous covariance structure of daily returns of S&P 500 constituents and identify a few breaks including those occurring during the 2007–2008 financial crisis and the recent coronavirus (COVID-19) outbreak. An package "” is provided to implement the proposed algorithms.

Predicting the climate impact of aviation for en-route emissions: the algorithmic climate change function submodel ACCF 1.0 of EMAC 2.53

Using climate-optimized flight trajectories is one essential measure to reduce aviation's climate impact. Detailed knowledge of temporal and spatial climate sensitivity for aviation emissions in the atmosphere is required to realize such a climate mitigation measure. The algorithmic Climate Change Functions (aCCFs) represent the basis for such purposes. This paper presents the first version of the Algorithmic Climate Change Function submodel (ACCF 1.0) within the European Centre HAMburg general circulation model (ECHAM) and Modular Earth Submodel System (MESSy) Atmospheric Chemistry (EMAC) model framework. In the ACCF 1.0, we implement a set of aCCFs (version 1.0) to estimate the average temperature response over 20 years (ATR20) resulting from aviation CO2 emissions and non-CO2 impacts, such as NOx emissions (via ozone production and methane destruction), water vapour emissions, and contrail cirrus. While the aCCF concept has been introduced in previous research, here, we publish a consistent set of aCCF formulas in terms of fuel scenario, metric, and efficacy for the first time. In particular, this paper elaborates on contrail aCCF development, which has not been published before. ACCF 1.0 uses the simulated atmospheric conditions at the emission location as input to calculate the ATR20 per unit of fuel burned, per NOx emitted, or per flown kilometre.In this research, we perform quality checks of the ACCF 1.0 outputs in two aspects. Firstly, we compare climatological values calculated by ACCF 1.0 to previous studies. The comparison confirms that in the Northern Hemisphere between 150–300 hPa altitude (flight corridor), the vertical and latitudinal structure of NOx-induced ozone and H2O effects are well represented by the ACCF model output. The NOx-induced methane effects increase towards lower altitudes and higher latitudes, which behaves differently from the existing literature. For contrail cirrus, the climatological pattern of the ACCF model output corresponds with the literature, except that contrail-cirrus aCCF generates values at low altitudes near polar regions, which is caused by the conditions set up for contrail formation. Secondly, we evaluate the reduction of NOx-induced ozone effects through trajectory optimization, employing the tagging chemistry approach (contribution approach to tag species according to their emission categories and to inherit these tags to other species during the subsequent chemical reactions). The simulation results show that climate-optimized trajectories reduce the radiative forcing contribution from aviation NOx-induced ozone compared to cost-optimized trajectories. Finally, we couple the ACCF 1.0 to the air traffic simulation submodel AirTraf version 2.0 and demonstrate the variability of the flight trajectories when the efficacy of individual effects is considered. Based on the 1 d simulation results of a subset of European flights, the total ATR20 of the climate-optimized flights is significantly lower (roughly 50 % less) than that of the cost-optimized flights, with the most considerable contribution from contrail cirrus. The CO2 contribution observed in this study is low compared with the non-CO2 effects, which requires further diagnosis.

Turnover Intention Model: Self- Determination Theory Approach: Acces la Success

The purpose of this study is to examine and analyze the influence of mental workload and person-organization fit on turnover intention, using basic psychological needs frustration (BPNF) as the intervening variable in the hospital in Daerah Istimewa Yogyakarta. The sample of this study is vocational nurse in the hospital in Daerah Istimewa Yogyakarta. The sample is carried out through survey from 153 respondents, which is processed using Structural Equation Modeling (SEM) method. This study finds that mental workload does not have direct influence on turnover intention, but it is mediated (full mediation) by need for competence frustration and need for relatedness frustration. Person-organization fit has a positive influence on need for autonomy frustration. However, person-organization fit does not have an influence on turnover intention, and basic psychological needs does not mediate the relationship of these variables. This study also found that the category of mental workload is quite low, person-organization fit is low, basic psychological needs frustration is quite low, and turnover intention is low. Nurse has the extrinsic motivation of identified regulation, thus hospital leaders should bring their motivation from identified regulation to intrinsic motivation, through internalization by establishing supportive work environment, namely Islamic spiritual workplace (ISW), with basic psychological needs supporting in each of its dimension. This study is expected to be a reference for practitioners in human resource management, especially regarding human resource retention function through the implementation of ISW. ISW contributes to lower mental workload, the increase of person-organization fit, establishment of basic psychological need satisfaction, as well as the decrease of basic psychological needs frustration and turnover intention.

Workplace violence and associations with health outcomes in public health administration agencies in Taiwan: a survey during the COVID-19 pandemic

Objectives: To investigate the prevalence of workplace violence in public health administration agencies and its effects on health outcomes. Methods: A survey was conducted in March 2022. Staff who had been working for at least one year in the Ministry of Health and Welfare or its subordinate agencies, the Department of Health, or in public health centers were recruited. Data were collected anonymously with a structured, online questionnaire. A total of 492 valid questionnaires were collected. Results: A total of 48.17% participants reported having experienced workplace violence (physical, psychological, verbal, or sexual). The most common type of violence was verbal (43.50%), followed by psychological (31.71%). Supervisors were the primary perpetrators of verbal and psychological violence, followed by clients and colleagues. Staff reported long working hours and high levels of psychological and physical stress. Furthermore, 22.97% of workers reported poor self-rated health, 60.57% had personal burnout levels higher than 50, and 63.41% reported poor mental health. Regression analyses showed that low workplace justice was most strongly associated with internal verbal and psychological violence, whereas routine work requiring interaction with the public was most strongly associated with external verbal violence. Staff who had experienced workplace violence in the past year had significantly higher risks of poor self-rated health, mental health, and personal burnout, and poor health was more strongly associated with workplace violence that originated inside the organization than with workplace violence that originated from outside the organization. Conclusions: This survey was conducted on-line anonymously, so the representativeness of our findings might be limited. However, heavy workloads and workplace violence in public health administration agencies during the COVID-19 pandemic are important issues deserving urgent attention. (Taiwan J Public Health. 2023;42(1) :42-61)

Patient Outcomes in CMV and SARS-CoV-2 Coinfection

This study examines clinical outcomes in patients with cytomegalovirus (CMV) and SARS-CoV-2 coinfection. Between June and November 2020, previously immunocompetent patients with SARS-CoV-2 and CMV coinfection were identified at Houston Methodist Hospital as part of routine clinical correlation by a molecular pathologist. SARS-CoV-2 nasopharyngeal specimens were analyzed by real time reverse-transcriptase polymerase chain reaction (RT-PCR). All CMV tests were performed on plasma or bronchoalveolar lavage (BAL) specimens and analyzed by competitive polymerase chain reaction. 65 previously immunocompetent patients with CMV and SARS-CoV-2 coinfection were identified. Patient demographics include 41 male patients (63%) and 24 female patients (37%) ranging in age from 34 to 86 years (mean: 66.04, median 68). Documented pre-existing conditions include 27 patients with hypertension 41.5%), 19 patients with diabetes mellitus (29.2%), 9 patients with coronary artery disease (13.8%), and 3 patients with asthma (4.6%). Eight patients (12.3%) had no documented pre-existing conditions. The plasma CMV viral load ranged from <300 to 21,566 IU/mL. The CMV PCR results from bronchoalveolar lavage and bronchial wash specimens ranged from <300 to 59,127 IU/mL. CMV PCR was initially negative in 10 patients then positive on serial testing. 60 patients were critically ill requiring ventilator support (92.3%). 47 patients (72.3%) expired, 7 patients (10.8%) were transferred to a long term acute care facility, 3 patients (4.6%) were discharged to a rehabilitation facility, 3 patients (4.6%) were discharged home, and 1 patient (1.5%) remained in-patient at the time of analysis. The prevalence of CMV seropositivity and medical comorbidities increases with age. Reactivation of latent CMV is a known occurrence in critically ill patients that is associated with poor outcomes. The majority of the patients in our cohort were 50 years old, and all were severely to critically ill with a mortality rate of 72.3% These findings suggest CMV portends a worse prognosis in patients with COVID-19. These findings also demonstrate the importance of clinical correlation in molecular testing.

Ecuador and COVID-19: the "Guayaquil Effect" in contrast to Quito

The repercussions of COVID-19 are different throughout the world due to an assortment of aspects that distinguish some countries from others regarding the structure and response of health systems, the socioeconomic conditions of the population, the activation of emergency committees and contingency plans, and the coordination between central and sectional governments. Even among cities, regions and states of the same country, the pandemic presents a different face. In Ecuador, the effects in Guayaquil contributed to its being catalogued as the Wuhan of Latin America. This article sheds light on the social determinants that explain the consequences in Guayaquil, in contrast to what happened in the capital, Quito.

Cities of Central Asia: New hotspots of air pollution in the world

Central Asian cities are one of the hotspots for air pollution worldwide. There are limited studies and knowledge regarding air quality variation in this region. This study investigated PM2.5 temporal variations and the influence of meteorological parameters on PM2.5 concentrations for six major cities in Central Asia: Almaty and Astana (Kazakhstan), Ashgabat (Turkmenistan), Bishkek (Kyrgyzstan), Dushanbe (Tajikistan), and Tashkent (Uzbekistan). The results show severe air quality deterioration in the cities with annual PM2.5 concentrations up to ten-fold higher than the limits. A clear seasonal pattern with winter peaks was observed in Almaty, Bishkek, and Astana, whereas winter and summer were highly polluted in Tashkent and Dushanbe. Based on the pollution profiles, cities were classified into several clusters. Episodes with high PM2.5 concentrations were evaluated for regional pollutant transportation using the HYSPLIT model. The results of this investigation highlight a significant discrepancy in official emissions inventory studies. While previous studies have suggested that transportation is the primary source of air pollution, the approach to estimate the share of emission sources was based on an outdated methodology that obscures information on the most hazardous pollutants, including PM2.5. This study shows that coal combustion is the primary source of PM2.5 pollution in most cities, offering policymakers critical insights into the sources of air pollution in the region. These findings demonstrate the need for policymakers to take swift action to address coal use and adopt effective measures to mitigate PM2.5 pollution, thereby improving the health and well-being of the population.

Analyzing the research trends of COVID-19 using topic modeling approach

PurposeThe COVID-19 pandemic has impacted 222 countries across the globe, with millions of people losing their lives. The threat from the virus may be assessed from the fact that most countries across the world have been forced to order partial or complete shutdown of their economies for a period of time to contain the spread of the virus. The fallout of this action manifested in loss of livelihood, migration of the labor force and severe impact on mental health due to the long duration of confinement to homes or residences.Design/methodology/approachThe current study identifies the focus areas of the research conducted on the COVID-19 pandemic. s of papers on the subject were collated from the SCOPUS database for the period December 2019 to June 2020. The collected sample data (after preprocessing) was analyzed using Topic Modeling with Latent Dirichlet Allocation.FindingsBased on the research papers published within the mentioned timeframe, the study identifies the 10 most prominent topics that formed the area of interest for the COVID-19 pandemic research.Originality/valueWhile similar studies exist, no other work has used topic modeling to comprehensively analyze the COVID-19 literature by considering diverse fields and domains.

Pandemic's effect on the relationship between lean implementation and service performance

Purpose: This paper aims at examining the impact that COVID-19 pandemic and its related work implications have on the relationship between lean implementation and service performance. Design/methodology/approach: The author surveyed service organizations that have been implementing lean for at least two years and remotely maintained their activities during the COVID-19 outbreak. Multivariate data techniques were applied to analyze the dataset. This study was grounded on sociotechnical systems theory. Findings: The findings indicate that organizations that have been implementing lean services more extensively are also more likely to benefit from the effects that the COVID-19 had on work environments, especially in the case of home office. Nevertheless, social distancing does not appear to mediate the effects of lean services on both quality and delivery performances. Originality/value: Since the pandemic is a recent phenomenon with unprecedented effects, this research is an initial effort to determine the effect the pandemic has on lean implementation and services' performance, providing both theoretical and practical contributions to the field. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

Agricultural Social Networks: An Agricultural Value Chain-Based Digitalization Framework for an Inclusive Digital Economy

Sustainable agriculture is the backbone of food security systems and a driver of human well-being in global economic development (Sustainable Development Goal SDG 3). With the increase in world population and the effects of climate change due to the industrialization of economies, food security systems are under pressure to sustain communities. This situation calls for the implementation of innovative solutions to increase and sustain efficacy from farm to table. Agricultural social networks (ASNs) are central in agriculture value chain (AVC) management and sustainability and consist of a complex network inclusive of interdependent actors such as farmers, distributors, processors, and retailers. Hence, social network structures (SNSs) and practices are a means to contextualize user scenarios in agricultural value chain digitalization and digital solutions development. Therefore, this research aimed to unearth the roles of agricultural social networks in AVC digitalization, enabling an inclusive digital economy. We conducted automated literature content analysis followed by the application of case studies to develop a conceptual framework for the digitalization of the AVC toward an inclusive digital economy. Furthermore, we propose a transdisciplinary framework that guides the digitalization systematization of the AVC, while articulating resilience principles that aim to attain sustainability. The outcomes of this study offer software developers, agricultural stakeholders, and policymakers a platform to gain an understanding of technological infrastructure capabilities toward sustaining communities through digitalized AVCs.

Risk of 12-month mortality following a severe inpatient hypoglycaemic event: A single centre retrospective study from the North-West of England

Aims: At our Trust, all severe inpatient hypoglycaemic episodes in individuals with diabetes (defined as a hypoglycaemic episode requiring injectable treatment) are reported to NaDIA-Harms (National Diabetes Inpatient Audit). We conducted a detailed review of the care of all these events to improve patient safety. In this study, we assessed the risk of 12-month mortality following an episode of severe inpatient hypoglycaemia. Method(s): Reportable NaDIA harms of patients admitted during the period 2018-2022 were recorded into a dataset. Applicable patient records were reviewed at 12 months following the event to see how many patients were deceased and details of comorbidities at the time of the severe hypoglycaemic episode were collected. Result(s): To date, of 107 inpatients who experienced a severe hypoglycaemic episode 55% were deceased within 12 months. In patients admitted during the peak of the Covid-19 pandemic recorded as year April 2020/March 2021, 80% of patients who had a NaDIA hypoglycaemic event died within 12 months. Conclusion(s): Mortality rate following an episode of inpatient hypoglycaemia appears to be several-fold higher than previous reported rates of 4.45%-22.1% for community-dwelling individuals who experience a severe hypoglycaemic event. This maybe partially explained by the increased frailty, polypharmacy and multimorbidity among this cohort, but there is evidence linking hypoglycaemia with cardiovascular mortality. Although no causality between severe inpatient hypoglycaemia and death can be inferred from this study because of the observational nature, it does highlight the importance preventing inpatient episodes of hypoglycaemia through effective monitoring and proactive treatment modification.

Criteria Clustering and Supplier Segmentation Based on Sustainable Shared Value Using BWM and PROMETHEE

With the advent of healthy visions, two of the trends that have become extremely important in the supply chain in recent decades are corporate social responsibility (CSR) and sustainability, which have affected the activities of buyers and suppliers. The next trend that is emerging is the vision of creating shared value (CSV), which wants to move the supply chain toward solving social problems in a completely strategic way. This research intends to develop a step-by-step framework for evaluating and segmenting suppliers based on CSV criteria in the supply chain. In the first stage, the criteria for creating sustainable shared value (CSSV) are obtained through existing activities in the field of CSR. The obtained criteria are then divided into two categories, strategic and critical, and then the weight of each criterion is obtained using the best–worst method (BWM). In the next step, based on the Kraljic model, the suppliers are divided into four clusters using the preference ranking organization method for enrichment evaluation (PROMETHEE) technique. This framework helps the buyer to conclude and select purchasing decisions and relationships with suppliers through the lenses of CSV and sustainability.

Real-time vibration monitoring and analysis of agricultural tractor drivers using an IoT-based system

Agricultural tractor drivers experience a high amplitude of vibration, especially during soil tillage operations. In the past, most research studied vibration exposure with more focus on the vertical (z) axis than on the fore-and-aft (x) and lateral (y) axes. This study examines how rotary soil tillage affects the vibration acceleration and frequency, and the power spectral densities (PSDs) at the seat pan and head along three translational axes in a real-field multiaxis vibration context. Moreover, this study aimed to identify the characteristics of the seat-to-head transmissibility (STHT) response to identifying the most salient resonant frequencies along the x-, y-, and z-axes. Nine (9) male tractor drivers operated the tractor with a mounted rotary tiller throughout the soil tillage process. In the event of a COVID-19 pandemic, and to respect social distancing, this study developed an Internet of Things (IoT) module with the potential to integrate with existing data loggers for online data transmission and to make the experimentation process more effective by removing potential sources of experimenter errors. The raw acceleration data retrieved at the seat pan and the head were utilized to obtain daily exposure (A(8)), PSDs, and STHT along the x-, y-, and z-axes. The vibration energy was found to be dominant along the z-axis than the x- and y-axes. A(8) response among tractor drivers exceeds the exposure action value explicitly stated by Directive 2002/44/EU. PSDs along the x-, y-, and z-axes depicted the low-frequency vibration induced by rotary soil tillage operation. The STHT response exhibited a higher degree of transmissibility along the y- and z-axes when compared with that along the x-axis. The frequency range of 4-7 Hz may plausibly be associated with cognitive impairment in tractor drivers during rotary soil tillage.

Post COVID-19 Conditions: The New Challenge to Mankind

After the waves of acute COVID-19 that swept mankind in 2020 and 2021, now we are confronted with the challenge of post COVID-19 conditions. According to the definition, post COVID-19 conditions comprise all signs and symptoms of COVID-19 that persist after the acute phase (3-4 weeks), without an upper limit of duration (as for the present state of knowledge). The symptoms of post COVID-19 conditions are highly variable, could affect every system, often overlap, and typically fluctuate and change over time. In regard to this disease and its long-term burden, the Bulgarian Cardiac Institute initiated a campaign "Life after COVID-19" and the data we gathered showed that a substantial proportion of patients having suffered from COVID-19 continue to have persistent symptoms that require special medical attention. Our biggest concern was the acute vascular manifestations of post COVID-19 conditions, such as acute coronary syndromes and acute pulmonary embolism, and for these we shared our personal experience. Post COVID-19 conditions have and will have a major significance for the healthcare and economic systems in the upcoming years. This derives from the simple facts that it is highly prevalent, affects people regardless of age (including young and active people) or severity of the acute illness (even asymptomatic cases), and that we still must learn a lot about its pathogenesis, natural history, treatment, and prognosis. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.

"Secure the bag": Young women's agencies toward better versus bare realities during COVID

Young women in township spaces aspire towards lifestyles that demonstrate affluence, a different socio-economic reality than the scarcity characterising their socio-economic space. The better lifestyles these young women aspire to, contrary to their current realities, are challenging to attain due to the unemployment underlying the livelihoods of many young women. For some young women, the experiences of unemployment intersect with other socio-economic factors such as early sexual exposure, teenage pregnancies, school dropout and experience of motherhood escalating their financial difficulties. The discussion here is drawn from a study through Ethnographic observations of young women in two South African townships. The discussion elicits a comprehensive account of young women's economic hardships in which they navigate their socio-economic realities. The discussion demonstrates that young women are active agents whose inspirations and instrumentalities struggle against the dire socio-economic conditions that characterise their township space. The awareness of their immediate conditions serves to fuel their dreams towards better realities, making them resourceful in their financial approaches: which are sometimes vulnerable. The young women's resourcefulness is however impacted by the Corona virus outbreak and the resultant lockdown regulations in a way that affects how they draw from their agencies. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

Working conditions of medical workers during the COVID-19 pandemic in 2020–2021 in Novosibirsk

Introduction. The high risk of infection of healthcare workers dictates the need to study their working conditions during the COVID-19 pandemic. The study aims to research the working conditions of medical workers during the COVID–19 pandemic in multidisciplinary medical and preventive organizations. Materials and methods. Analysis of working conditions of medical workers of medical and preventive organizations. The study design is a closed population (four medical institutions were randomly selected), a target group (doctors and nurses). The authors analyzed the staffing table and 16 reports on a special assessment of working conditions at 1,251 workplaces (1,845 medical workers, of which 787 doctors, 1,058 nurses). Statistical analysis included: standard methods of descriptive statistics, determination of relationships by logistic regression (odds ratios (OR) and 95% confidence intervals (OR CI)). p<0.05 was taken as the critical level of significance. Results. The largest number of ill medical workers provided assistance to patients without signs of COVID-19 both in hospitals (86.06% of doctors, 85.85% of nurses) and in outpatient polyclinic treatment and prevention organizations (90.31% of doctors, 92.05% of nurses). The probability of getting sick COVID-19 was maximum in an infectious diseases hospital (compared with emergency departments OR 2.049;95% OR CI 1.194–4.608 and diagnostic and treatment units of medical institutions OR 3,057;95% OR CI 1,876–4,98). The workplaces of medical workers who have undergone COVID-19 in infectious diseases hospitals and specialized teams are classified as harmful class 1–3 degrees, and workers are classified as high occupational risk groups according to SARS-CoV-2. The probability of getting sick with COVID-19 is significantly higher when in contact with pathogens of infectious diseases (class of working conditions 3.3 compared to 3.1 or 3.2). Conclusion. The workplaces of medical workers who have undergone COVID-19 in infectious diseases hospitals and specialized brigades are classified as harmful class of the first to third degree, and workers are classified as high occupational risk groups for COVID–19. Ethics. Scientists have conducted the study in compliance with the Ethical principles set out in the Helsinki Declaration of 1975 with amendments of 1983 and obtaining the informed consent of patients. © 2023, Izmerov Research Institute of Occupational Medicine. All rights reserved.

An organizational analysis of how managers must understand the mental health impact of teleworking during COVID-19 on employees

PurposeThe unimagined workplace disturbance caused by the Coronavirus, also known as COVID-19, has made many organizations virtual or telework driven workplaces, often without the infrastructure and systems in place to support employees facing these sudden workplace changes (Burrell, 2020). Many stressors accompanied this transition, to include lack of childcare, home-school responsibilities and layoffs and business closings. These stressors have perpetuated concerns for the job and financial security for all workers (Fox, 2020), leading some employees to struggle with the work-life balance out of concern for being laid off due to perceived low productivity (Fox, 2020). This study aims to explore those manifestations.Design/methodology/approachThis qualitative research case study explores the impact COVID-19 induced telework has on their job satisfaction, mental well-being and aspects of organizational commitment to fill a gap in the literature concerning emerging workplace dynamics due to COVID-19 for small real estate businesses in the USA.FindingsThe results of this qualitative research case study provide knowledge and information about the need for small businesses to be resourceful and resilient in the way that they support and engage remote workers. This qualitative research case study explores the impact COVID-19-induced telework has on their job satisfaction, mental well-being and aspects of organizational commitment for small real estate businesses. The analysis of current work-life structures through a qualitative lens provides trends among workers to gain a greater perspective of the current accelerators and barriers to worker success in a COVID-19 teleworking environment.Originality/valueThis qualitative research case study explores the impact COVID-19 induced telework has on their job satisfaction, mental well-being and aspects of organizational commitment to fill a gap in the literature concerning emerging workplace dynamics due to COVID-19 for small real estate businesses. The value of this research is that majority of the participants were African-Americans, which represents a participant group that is highly under researched.

The Beveridge Curve and the "she-cession"

The Beveridge Curve has been dissected in many ways over the years - by industry, by region, and by state. However, despite the availability of a proxy for a curve for each sex, there have been no estimates of the Beveridge Curve for males and females separately. This paper explains how the Beveridge Curve can be calculated in this way and provides a brief analysis of labor market conditions. Women enjoyed a more efficient labor market than men from 20032014 and in 2018-2019, but the Coronavirus-induced "she-cession" is flashing warning signs of a trend reversal. Policymakers and hiring firms alike should ensure that conditions are conducive to a return to work for women - especially mothers.

The Impact of Embodiment on Training Effectiveness

Due to the COVID-19 pandemic and compulsory social distancing, researchers in educational fields started to investigate alternatives to face-To-face (F2F) training methods with greater focus, such as video conferencing (VC) and virtual reality (VR) applications. This study investigated the differences between VC, VR and F2F training conditions by evaluating the level of body ownership and agency perceived by trainees. An electrical circuit repair task and multiple surveys were used to gather data from 106 participants in the form of four dependent variables: A circuit knowledge test, task completion rate, number of the subtasks completed by failing participants, and test phase duration. The study included two visits by each participant to measure knowledge retention while there were no training and surveys in Visit 2. Results showed significantly higher circuit learning and knowledge retention scores in F2F and VR conditions than in VC. Also, regarding the retention of knowledge, participants had significantly better knowledge retention in Visit 1 than Visit 2. The authors hope the results of this study enable training developers to enhance the learning process in computer mediated communications. © 2023 IEEE.