E-Learning Readiness Assessment Using Machine Learning Methods

Assessing e-learning readiness is crucial for educational institutions to identify areas in their e-learning systems needing improvement and to develop strategies to enhance students' readiness. This paper presents an effective approach for assessing e-learning readiness by combining the ADKAR model and machine learning-based feature importance identification methods. The motivation behind using machine learning approaches lies in their ability to capture nonlinearity in data and flexibility as data-driven models. This study surveyed faculty members and students in the Economics faculty at Tlemcen University, Algeria, to gather data based on the ADKAR model's five dimensions: awareness, desire, knowledge, ability, and reinforcement. Correlation analysis revealed a significant relationship between all dimensions. Specifically, the pairwise correlation coefficients between readiness and awareness, desire, knowledge, ability, and reinforcement are 0.5233, 0.5983, 0.6374, 0.6645, and 0.3693, respectively. Two machine learning algorithms, random forest (RF) and decision tree (DT), were used to identify the most important ADKAR factors influencing e-learning readiness. In the results, ability and knowledge were consistently identified as the most significant factors, with scores of ability (0.565, 0.514) and knowledge (0.170, 0.251) using RF and DT algorithms, respectively. Additionally, SHapley Additive exPlanations (SHAP) values were used to explore further the impact of each variable on the final prediction, highlighting ability as the most influential factor. These findings suggest that universities should focus on enhancing students' abilities and providing them with the necessary knowledge to increase their readiness for e-learning. This study provides valuable insights into the factors influencing university students' e-learning readiness.

Assessment of biventricular myocardial systolic function in COVID-19 patients: A Tissue Doppler Imaging echocardiography study

Background: The 2019 novel coronavirus disease (COVID-19) has been reported as pandemy and the number of patients continues to rise. Based on recent data, cardiac injury is a prominent feature of the disease, leading to increased morbidity and mortality. In the present study we aimed to evaluate myocardial dysfunction using transthoracic echocardiography (TTE) and tissue Doppler imaging (TDI) in hospitalized COVID-19 patients. Methods and Results: We recruited 30 patients (56.7% male, 55.80 +/- 14.949 years) who were hospitalized with the diagnosis COVID-19 infection. We analyzed left ventricular (LV) and right ventricular (RV) conventional and TDI parameters at the time of hospitalization and during the course of the disease. Patients without any cardiac disease and with preserved LV ejection fraction (EF) were included. TTE examination was performed and all the variables were recorded and analyzed retrospectively. We observed that both LV and RV conventional echocardiographic parameters were similar when the day of admission to the hospital was compared to the 5th day of the disease. Regarding TDI analysis, we demonstrated significant impairment in LV septal and lateral deformation (P < 0.001). In the correlation analysis no marked correlation was observed between impairment in LV deformation and inflammation biomarkers. Conclusion(s): Cardiac involvement is an important feature of the COVID-19 infection but the exact mechanism is still undefined. Echocardiography is an essential technique to describe myocardial injury and provide new concepts for the possible definitions of cardiac dysfunction.Copyright © 2023 The Author(s).

Correlations of interleukin levels with the severity of SARS-CoV-2 coronavirus infection.

A new coronavirus infection caused by the SARS-CoV-2 virus is characterized by a systemic hyperinflammatory response with a pronounced increase in the content of pro-inflammatory cytokines. Materials and methods. The study was conducted on the basis of the Samara Regional Children's Infectious Diseases Hospital from 2021 to 2022. 40 patients with moderate (n = 20, group I) and severe forms (n = 20, group II) COVID-19 were studied, the comparison group consisted of patients with viral pneumonia of another etiology (n = 35, group III). Results. The infectious agent SARS-CoV-2 induces high levels of cytokines IL-6 (p < 0.005), IL-8 (p < 0.05) and a slight increase in TNF-alpha (p < 0.05). IL-8 was significantly associated with disease duration (p < 0.01). We assume that the value of this interleukin will increase in the post-COVID period. Conclusions. Changes in IL-6 and IL-8 levels in patients with COVID-19, along with clinical features, are important biomarkers for predicting the severity and duration of the disease.Copyright © Children Infections.All rights reserved

Mental Health and Coping Strategies among University Staff during the COVID-19 Pandemic: A Cross–Sectional Analysis from Saudi Arabia

This study examined psychological health and coping strategies among faculty and staff at a Saudi Arabian university. A web-based self-administered survey was used to assess probable anxiety, depression, post-traumatic stress disorder (PTSD), and coping strategies by using the Generalized Anxiety Disorder-7 (GAD-7), Patient Health Questionnaire-9 (PHQ-9), Impact of Event Scale-Revised (IES-R), and Brief-COPE scale, respectively. Of 502 participants (mean age 36.04 ± 10.32 years, male: 66.3%), 24.1% (GAD-7 ≥ 10) had probable anxiety. Anxiety score was significantly higher in females (p < 0.001), those with a history of COVID-19 infection (p = 0.036), and participants with less work experience (p = 0.019). Approximately 40% of participants met the criteria of probable depression, with females (p < 0.001) and participants with less experience having more depressive symptoms. Around one-fourth (27.7%) of study participants indicated probable PTSD (score ≥ 33), with higher symptoms in females (p <0.001), less experienced staff (p < 0.001), and academic staff (p = 0.006). Correlation analysis indicated a significant positive correlation between anxiety and depression (r = 0.844, p < 0.001), anxiety and PTSD (r = 0.650, p < 0.001), and depression and PTSD (r = 0.676, p < 0.001). Active coping, religious/spiritual coping, and acceptance were common coping strategies, while substance use was the least adopted coping method among the study participants. This study indicated a high prevalence of probable psychological ailments among university staff.

The inspiratory activity of respiratory center and respiratory muscles strength after COVID-19.

The respiratory pump that provides pulmonary ventilation includes the respiratory center, peripheral nervous system, chest and respiratory muscles. The aim of this study was to evaluate the activity of the respiratory center and the respiratory muscles strength after COVID-19 (COronaVIrus Disease 2019). Methods. The observational retrospective cross-sectional study included 74 post-COVID-19 patients (56 (76%) men, median age - 48 years). Spirometry, body plethysmography, measurement of lung diffusing capacity (DLCO), maximal inspiratory and expiratory pressures (MIP and MEP), and airway occlusion pressure after 0.1 sec (P0.1) were performed. In addition, dyspnea was assessed in 31 patients using the mMRC scale and muscle strength was assessed in 27 of those patients using MRC Weakness scale. Results. The median time from the COVID-19 onset to pulmonary function tests (PFTs) was 120 days. The total sample was divided into 2 subgroups: 1 - P0.1 <= 0.15 kPa (norm), 2 - > 0.15 kPa. The lung volumes, airway resistance, MIP, and MEP were within normal values in most patients, whereas DLCO was reduced in 59% of cases in both the total sample and the subgroups. Mild dyspnea and a slight decrease in muscle strength were also detected. Statistically significant differences between the subgroups were found in the lung volumes (lower) and airway resistance (higher) in subgroup 2. Correlation analysis revealed moderate negative correlations between P0.1 and ventilation parameters. Conclusion. Measurement of P0.1 is a simple and non-invasive method for assessing pulmonary function. In our study, an increase in P0.1 was detected in 45% of post-COVID-19 cases, possibly due to impaired pulmonary mechanics despite the preserved pulmonary ventilation as well as normal MIP and MEP values.Copyright © Savushkina O.I. et al., 2023.

Modeling of Physical Activity Behavioral Interventions Relying on MPC Strategy

Physical inactivity is becoming an important threat to public health in today's society. The COVID-19 pandemic has also reduced physical activity (PA) levels given all the restrictions imposed worldwide. In this work, physical activity interventions supported by mobile devices and relying on control engineering principles were proposed. The model was constructed relying on previous studies that consider a fluid analogy of Social Cognitive Theory (SCT), which is a psychological theory that describes how people acquire and maintain certain behaviors, including health-promoting behaviors, through the interplay of personal, environmental, and behavioral factors. The obtained model was validated using secondary data (collected earlier) from a real intervention with a group of male subjects in Great Britain. The present model was extended with new technology for a better understanding of behavior change interventions. This involved the use of applications, such as phone-based ecological momentary assessments, to collect behavioral data and the inclusion of simulations with logical reward conditions for reaching the behavioral threshold. A goal of 10,000 steps per day is recommended due to the significant link observed between higher daily step counts and lower mortality risk. The intervention was designed using a Model Predictive Control (MPC) algorithm configured to obtain a desired performance. The system was tested and validated using simulation scenarios that resemble different situations that may occur in a real setting.

Genetic overlap study between idiopathic pulmonary fibrosis and COVID-19

Background/Objectives: Genetic factors influence COVID-19 susceptibility and outcomes, including the development of pulmonary fibrosis (i.e. lung scarring). Idiopathic pulmonary fibrosis (IPF) is a progressive lung disease and the most common cause of pulmonary fibrosis in the general population. Genome-wide association studies (GWAS) of COVID-19 and IPF revealed genes associated with both diseases, suggesting these share genetic risk factors. Here we performed a genetic overlap study between COVID-19 and IPF. Method(s): Summary statistics from an IPF 5-way meta-GWAS and from the COVID-19 Host Genetics initiative GWAS metaanalysis (v6) were used. We performed genetic correlation analyses and assessed individual genetic signals to identify those variants shared between both traits. We conducted colocalisation analyses to determine whether the same causal variant was driving both traits. Finally, the association of overlapping variants with gene expression was assessed and a phenome-wide association study was performed. Result(s): There was a positive genetic correlation between severe COVID-19 and IPF. We found four genetic loci with likely shared causal variants between both traits, including one novel risk locus at 7q22.1 that colocalised with decreased ZKSCAN1 and TRIM4 expression in blood. The other three loci colocalised with MUC5B, ATP11A and DPP9 expression. The locus associated with increased ATP11A expression was also associated with higher Hb1AC levels, a biomarker used in diabetes. Conclusion(s): Results suggest there are shared biological processes driving IPF and severe COVID-19 phenotypes.

U.S. Public Transportation Ridership Analysis and Prediction based on COVID-19

In this paper, a research was conducted to analyse and predict the impacts of COVID-19 on public transportation ridership in the U.S. and 5 most populous cities of the U.S. (New York City, Los Angeles, Chicago, Houston, Philadelphia). The paper aims to exploit the correlation between COVID-19 and public transportation ridership in the U.S. and make the reasonable prediction by machine learning models, including ARIMA and Prophet, to help the local governments improve the rationality of their policy implementation. After correlation analyses, high level of significant and negative correlations between monthly growth rate of COVID-19 infections and monthly growth rate of public transportation ridership are decidedly validated in the total U.S., and New York City, Los Angeles, Chicago, Philadelphia, except Houston. To analyse the errors of Houston, we consult the literature and made a discussion of Influencing factors. We find that the level of public transportation in quantity and utilization is terribly low in Houston. In addition, the factors, such as the lack of planning law and estimation of urban expressways, the high level of citizens' dependence on private cars and pride of owning cars play a considerable roll in the errors. And the impacts can be predicted to a certain extent through two forecasting models (ARIMA and Prophet), although the precision of our models is not enough to make a precise forecast due to the limitations of model tuning and model design. According to the comparison of the two models, ARIMA models' forecasting accuracy is between 6% and 10%, and Prophet's forecasting accuracy is between 8%-12%, depending on the city. Since the insufficient stationarity, periodicity, seasonality of time series, the Prophet models are hard be more refined. © 2023 SPIE.

Strategies for implementation of green roofs in developing countries

PurposeReportedly, green roof (GR) makes a significant contribution towards a truly sustainable-built environment;however, its implementation is yet to hit a sufficient level in developing countries. Thus, this study assesses GR implementation strategies in developing countries by providing a comparative analysis through experts in Kazakhstan, Malaysia and Turkey.Design/methodology/approachThe study adopts a four-step methodological approach to achieve the research aim: literature review, focus group discussion, fuzzy analytical hierarchy process (FAHP) analysis and correlation analyses. First, a literature review followed by a focus group discussion is used to determine 18 (out of 25 initially) strategies for the selected context and these are classified into three categories: governmental and institutional support, knowledge and information and policy and regulation. Afterward, the identified GR strategies are evaluated using the FAHP with the data gathered from the experts in the countries studied. Finally, correlation analyses were used to observe the strength of agreement between the assessments of experts from the included countries.FindingsThe findings indicate that financial incentives, low-cost government loans and subsidies and tax rebates are the essential strategies for the wider adoption of GR. Evaluating the policy and regulations strategies also showed that mandatory GR policies and regulations and better enforcement of the developed GR policies are ranked as the most prominent strategies. The findings show a low level of agreement among respondents from Kazakhstan, while there is a high level of agreement between the experts in Malaysia and Turkey.Research limitations/implicationsThe research contribution is twofold. First (research implication), the study identifies the strategies through a complete literature review. Second, the identified strategies are evaluated through the lenses of experts in three developing countries which are hoped to provide (practical contribution) a better understanding of the most effective strategies that require attention and enable the frontline stakeholders (particularly government authorities) to focus on them.Originality/valueThe study findings provide a good point of departure to explore the strategies for broader adoption of GRs in developing economic setting.

The application experience of focused ultrasound heart examination in patients with COVID-19 in Prone-position.

Aim of the study. To study the experience of using focused transthoracic echocardiography in patients with COVID-19 in prone position (fEchoPr) in intensive care units (ICU). Materials and methods. The retrospective observational study included 53 patients (period from 15 April to 31 December 2020). Inclusion criteria: confirmed diagnosis of COVID-19, availability of fEchoPr data, outcome certainty (discharge/death). We analyzed electronic medical records. The fEchoPr was performed in patients in the prone position with a bolster under the left side of the chest and left arm raised ('swimmer's position'). We assessed the systolic function of the right ventricle (RV) (tricuspid annular plane systolic excursion (TAPSE)), RV size, RV/LV ratio, systolic function of the left ventricle (LV) (left ventricular outflow tract velocity time integral. (LVOT VTI)), and pulmonary hypertension (PH) (tricuspid regurgitation peak gradient (PGTR). Depending on the results, the patients were divided into 2 groups: informative (+fEchoPr) and non-informative (-fEchoPr) examinations. Results. There was no statistically significant difference in the groups (+fEcho n = 35 vs -fEcho n = 18) by age (65.6 +/- 15.3 vs 60.2 +/- 15.8, p > 0.05), by gender (male: 23 (65.7%) vs 14 (77.8%), p > 0.05), by body mass index (31.3 +/- 5.3 kg/m2 vs 29.5 +/- 5.4 kg/m2, p > 0.05), by mechanical ventilation support (24 (68.6%) vs 17 (94.4%), p = 0.074), by NEWS scale indicators (6.9 +/- 3.7 vs 8.5 +/- 3.5 points), by mortality (82.8% vs 94.4%, p > 0.05). Correlation analysis revealed a moderate inverse relationship between being on mechanical ventilation and the informative value of the study (Spearman's r = -0.30 at p = 0.033). In the +fEchoPr group, the correct measurement of TAPSE and RV/LV was carried out in 100%: a decrease in RV systolic function was recorded in 5 patients (14%), expansion of the RV in 13 patients (37%). Signs of PH were detected in 11 patients (31%), PGTR could not be measured in 10 patients (28%). LV systolic dysfunction was detected in 7 patients (20%). No pathology was detected in 16 patients (46%). One patient was diagnosed with infective endocarditis of native mitral valve, which was later confirmed by autopsy. Conclusion. In 66% of cases, fEchoPr examinations were informative, especially in terms of assessing the state of the right heart. fEchoPr examination is an affordable, valid and reproducible method to assess and monitor the state of the heart in ICU patients.Copyright © 2021 VIDAR Publishing House. All Rights Reserved.

Impact of COVID-19 lockdown on water quality in China during 2020 and 2022: two case surges.

The COVID-19 severely affected the world in 2020. Taking the two outbreaks in China in 2020 and 2022 as examples, the spatiotemporal changes in surface water quality levels and CODMn and NH3-N concentrations were analyzed, and the relationships between the variations in the two pollutants and environmental and social factors were evaluated. The results showed that during the two lockdowns, due to the total water consumption (including industrial, agricultural, and domestic water) decreased, the proportion of good water quality increased by 6.22% and 4.58%, and the proportion of polluted water decreased by 6.00% and 3.98%, the quality of water environment has been improved significantly. However, the proportion of excellent water quality decreased by 6.19% after entering the unlocking period. Before the second lockdown period, the average CODMn concentration exhibited a "falling, rising, and falling" trend, while the average NH3-N concentration changed in the opposite direction. The correlation analysis revealed that the increasing trend of pollutant concentrations was positively correlated with longitude and latitude, and weakly correlated with DEM and precipitation. A slight decrease trend in NH3-N concentration was negatively correlated with the population density variation and positively correlated with the temperature variation. The relationship between the change in the number of confirmed cases in provincial regions and the change in pollutant concentrations was uncertain, with positive and negative correlations. This study demonstrates the impact of lockdowns on water quality and the possibility of improving water quality through artificial regulation, which can provide a reference basis for water environmental management.

Analysis of COVID-19 outbreak in Hubei province based on Tencent's location big data.

Rapid urbanization has gradually strengthened the spatial links between cities, which greatly aggravates the possibility of the spread of an epidemic. Traditional methods lack the early and accurate detection of epidemics. This study took the Hubei province as the study area and used Tencent's location big data to study the spread of COVID-19. Using ArcGIS as a platform, the urban relation intensity, urban centrality, overlay analysis, and correlation analysis were used to measure and analyze the population mobility data of 17 cities in Hubei province. The results showed that there was high similarity in the spatial distribution of urban relation intensity, urban centrality, and the number of infected people, all indicating the spatial distribution characteristics of "one large and two small" distributions with Wuhan as the core and Huanggang and Xiaogan as the two wings. The urban centrality of Wuhan was four times higher than that of Huanggang and Xiaogan, and the urban relation intensity of Wuhan with Huanggang and Xiaogan was also the second highest in the Hubei province. Meanwhile, in the analysis of the number of infected persons, it was found that the number of infected persons in Wuhan was approximately two times that of these two cities. Through correlation analysis of the urban relation intensity, urban centrality, and the number of infected people, it was found that there was an extremely significant positive correlation among the urban relation intensity, urban centrality, and the number of infected people, with an R2 of 0.976 and 0.938, respectively. Based on Tencent's location big data, this study conducted the epidemic spread research for "epidemic spatial risk classification and prevention and control level selection" to make up for the shortcomings in epidemic risk analysis and judgment. This could provide a reference for city managers to effectively coordinate existing resources, formulate policy, and control the epidemic.

Structure characteristics and development sustainability of municipal solid waste treatment in China

This study aims to analyze the development trend of municipal solid waste (MSW) treatment in China from 2011 to 2020, and provide insights into the challenges and opportunities of sustainable MSW management. Our analysis shows that MSW generation declined in 2020, which could be attributed to a combination of factors, including the low urban population growth rate, the implementation of the garbage classification policy, and the impact of the COVID-19 pandemic. We also found that the shift from landfill to incineration is expected to increase significantly in the coming years, although there are still several structural problems, such as an imbalance in treatment capacity among regions and cities, and uncertainty about whether the increase in incineration treatment capacity can meet overall demand due to the high volume of MSW generation. Our analysis highlights the heavy dependence on government investment for MSW treatment mode change, which is difficult due to the expanding deficit between fiscal revenue and expenditure of local governments. Correlation coefficient analysis shows a significant positive correlation between the proportion of incineration and sanitation investment, and a significant negative correlation between the proportion of landfill treatment and sanitation investment. To address these challenges, we propose technological advancement and management optimization to reduce the cost of MSW treatment, as well as expansion of investment channels through green funds, taxation relief, and other means to promote high-quality and sustainable development of the MSW treatment industry. These changes could accelerate the transformation of China's MSW treatment industry from policy promotion-dependent to market-oriented sustainable operation.

Performance of Indicators Used in the Regular Risk Assessment for Covid-19

Intro: Since November 2021, gradual changes in non-pharmaceutical interventions (NPI) had begun in consideration of the socio-economic cost and the high rate of COVID-19 vaccination. As an effort to monitor the COVID-19 situation and the effect of NPIs, regular risk assessment for COVID-19 has been conducted based on the input from the external advisory committee. This paper examines the correlation between the risk assessment results and other indicators, such as the incidence of COVID-19, public perception, community mobility, and the government policy from November 2021 to May 2022. Method(s): For weekly regular risk assessment of COVID-19, the data were collected from the National Infectious Disease Surveillance System website, which included incidence, mortality, and % of severe cases. Other indicators were from regular surveys on perceived risk among the public, community mobility from the Google website, and the government's response policy from The Oxford Stringency Index. The level of risk was classified into five levels from very low to very high. The level of COVID-19 risk and its correlation with the COVID-19 incidence, risk perception, community mobility, and government policy were examined. Finding(s): The result of the correlation analysis showed the highest positive correlation between the risk level and risk perception (r=0.86, CI 0.72-0.94). This indicates that the actual risk level and the risk perceived by the public are similar. Among the incidence-related indicators, the number of new severe cases of COVID-19 per week showed the highest correlation with the risk level (r=0.62, CI 0.33-0.80). Conclusion(s): The high correlation between the weekly severe cases and the overall COVID-19 risk level suggests that Korea's COVID-19 policy priority was mainly at protecting the high-risk populationCopyright © 2023

Mediating role of psychological resilience in relationship between stress and anxiety symptoms of medical students in post COVID-19 period

[Background] In the post-pandemic period, attention has been paid to the study of psychological stage changes in various groups. Under the stress of pandemics, how to control negative emotions such as anxiety symptoms will have an important impact on medical students' professional identity and future professional competence. [Objective] This study is designed to explore the characteristics of stress and anxiety symptoms of medical students in different stages of the post COVID-19 period, and potential mediating role of psychological resilience in the relationship between stress and anxiety symptoms. [Methods] By convenience sampling method, 3 000 medical students from three medical colleges in Shaanxi Province were selected and completed an online survey reporting the Self-Rating Anxiety Scale (SAS), Stress Scale for College Student (SSCS), and Resilience Scale of Adults (RSA) to assess their stress, psychological resilience, and anxiety symptoms in September and November 2020. SPSS 25.0 software was used to perform dependent-sample t test, variance analysis, Pearson correlation analysis, and mediating effect test (hierarchical regression analysis). [Results] A total of 2 894 valid questionnaires were recovered and the valid recovery rate was 96.5%. The overall scores of stress, psychological resilience, and anxiety symptoms of selected medical students were 56.61+/-17.17, 166.88+/-28.55, and 40.45+/-9.67, respectively in the post COVID-19 period. The positive rate of high stress was 72.2%, and the positive rate of anxiety symptoms was 16.0%. There were significant differences in anxiety symptoms scores between the high and the low stress level groups (42.16+/-9.92, 35.99+/-7.30) (P < 0.01). There were significant differences in scores of stress, psychological resilience, and anxiety symptoms among different grade groups (P < 0.01). The pearson correlation analysis results showed that the stress score was positively correlated with the anxiety symptom score (r=0.417, P < 0.01) and negatively correlated with the psychological resilience score (r=-0.344, P < 0.01);the psychological resilience score was negatively correlated with the anxiety symptom score (r=-0.495, P < 0.01). The hierarchical regression analysis results found that stress had a positive effect on anxiety symptoms (b=0.280, P < 0.01), and a negative effect on psychological resilience (b=-0.344, P < 0.01);psychological resilience negatively affected anxiety symptoms (b=-0.398, P < 0.01), and played a partial mediating role in the relationship between stress and anxiety symptoms (effect value was 0.137) that accounted for 32.8% of the total effect. [Conclusion] In the post COVID-19 period, medical students have a superposition of high stress and high anxiety symptoms. Psychological resilience is a protective factor for anxiety symptoms and plays a partial mediating role in the relationship between stress and anxiety symptoms.Copyright © 2021, Shanghai Municipal Center for Disease Control and Prevention. All rights reserved.

Students' Emotional Perceptions and Attitudes Toward English Teacher Feedback in Cloud Classroom Learning Environments During the COVID-19 Pandemic

Cloud classrooms are catching increasing attention in English teaching during the COVID-19 pandemic. Via multiple correlation analysis, path analysis, and data collected from randomly selected 230 participants, this study examined the effects of students' emotional perceptions and attitudes towards teaching feedback in cloud classroom learning environments. It was concluded that all emotional perceptions were significantly and positively correlated, and learning motivation caused the most significant effect, followed by interest. Learning motivation could predict the perceived teaching feedback. Students with strong self-confidence had strong learning motivation and interest in English learning. High-score students preferred more profound and euphemistic comments;medium-score students hoped to catch more attention and obtain positive feedback from teachers;poor-score students favored direct and explicit evaluations. This study is helpful to future research into non-verbal and peer feedback in technology-based learning environments.

Accessing isotopically labeled proteins containing genetically encoded phosphoserine for NMR with optimized expression conditions

Phosphoserine (pSer) sites are primarily located within disordered protein regions, making it difficult to experimentally ascertain their effects on protein structure and function. Therefore, the production of 15N- (and 13C)-labeled proteins with site-specifically encoded pSer for NMR studies is essential to uncover molecular mechanisms of protein regulation by phosphorylation. While genetic code expansion technologies for the translational installation of pSer in Escherichia coli are well established and offer a powerful strategy to produce site-specifically phosphorylated proteins, methodologies to adapt them to minimal or isotope-enriched media have not been described. This shortcoming exists because pSer genetic code expansion expression hosts require the genomic DELTAserB mutation, which increases pSer bioavailability but also imposes serine auxotrophy, preventing growth in minimal media used for isotopic labeling of recombinant proteins. Here, by testing different media supplements, we restored normal BL21(DE3) DELTAserB growth in labeling media but subsequently observed an increase of phosphatase activity and mis-incorporation not typically seen in standard rich media. After rounds of optimization and adaption of a high-density culture protocol, we were able to obtain >=10 mg/L homogenously labeled, phosphorylated superfolder GFP. To demonstrate the utility of this method, we also produced the intrinsically disordered serine/arginine-rich region of the SARS-CoV-2 Nucleocapsid protein labeled with 15N and pSer at the key site S188 and observed the resulting peak shift due to phosphorylation by 2D and 3D heteronuclear single quantum correlation analyses. We propose this cost-effective methodology will pave the way for more routine access to pSer-enriched proteins for 2D and 3D NMR analyses. GCE4All Biomedical Technology Development and Dissemination Center was supported by National Institute of General Medical Science, OSU NMR Facility funded in part by the National Institutes of Health, the Medical Research Foundation at OHSU and the Collins Medical Trust, National Science Foundation EAGER, and by the M. J. Murdock Charitable Trust.Copyright © 2023 The American Society for Biochemistry and Molecular Biology, Inc.

The inspiratory activity of respiratory center and respiratory muscles strength after COVID-19.

The respiratory pump that provides pulmonary ventilation includes the respiratory center, peripheral nervous system, chest and respiratory muscles. The aim of this study was to evaluate the activity of the respiratory center and the respiratory muscles strength after COVID-19 (COronaVIrus Disease 2019). Methods. The observational retrospective cross-sectional study included 74 post-COVID-19 patients (56 (76%) men, median age - 48 years). Spirometry, body plethysmography, measurement of lung diffusing capacity (DLCO), maximal inspiratory and expiratory pressures (MIP and MEP), and airway occlusion pressure after 0.1 sec (P0.1) were performed. In addition, dyspnea was assessed in 31 patients using the mMRC scale and muscle strength was assessed in 27 of those patients using MRC Weakness scale. Results. The median time from the COVID-19 onset to pulmonary function tests (PFTs) was 120 days. The total sample was divided into 2 subgroups: 1 - P0.1 <= 0.15 kPa (norm), 2 - > 0.15 kPa. The lung volumes, airway resistance, MIP, and MEP were within normal values in most patients, whereas DLCO was reduced in 59% of cases in both the total sample and the subgroups. Mild dyspnea and a slight decrease in muscle strength were also detected. Statistically significant differences between the subgroups were found in the lung volumes (lower) and airway resistance (higher) in subgroup 2. Correlation analysis revealed moderate negative correlations between P0.1 and ventilation parameters. Conclusion. Measurement of P0.1 is a simple and non-invasive method for assessing pulmonary function. In our study, an increase in P0.1 was detected in 45% of post-COVID-19 cases, possibly due to impaired pulmonary mechanics despite the preserved pulmonary ventilation as well as normal MIP and MEP values.Copyright © Savushkina O.I. et al., 2023.

Research on Affective Interaction in Mini Public Transport Based on IPA-FMEA

In the promotion of sustainable modes of transport, especially public transport, reasonable failure risk assessment at the critical moment in the process of service provider touch with users can improve the service quality to a certain extent. This study presents a product service touch point evaluation approach based on the importance–performance analysis (IPA) of user and failure mode and effect analysis (FMEA). Firstly, the authors capture service product service touch points in the process of user interaction with the product by observing the user behavior in a speculative design experiment, and perform the correlation analysis of the service product service touch point. Second, the authors use the IPA analysis method to evaluate and classify the product service touch points and identify the key product service touch points. Thirdly, the authors propose to analyze the failure of key product service touch points based on user-perceived affective interaction and clarify the priority of each key touch point. Finally, reluctant interpersonal communication, as the key failure caused by high risk, is derived according to the evaluation report, which leads to establishing new product service touch points and improving the overall user experience to promote sustainable transports with similar forms and characteristics.

Evaluation of Knowledge, Attitude, Practice and Hospital Experience Regarding COVID-19 among Pregnant and Postpartum Mothers at a Tertiary Care Hospital in Kashmir: A Cross-sectional Study

Background: Coronavirus disease (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus. The virus can spread from an infected person when they cough, sneeze, speak, or breathe through mouth or nose. Majority of the people who get infected with the virus will experience mild to moderate illness. However, some will become severely ill and require medical attention. Pregnancy is associated with increased risk for severe COVID-19. Few studies have examined knowledge, attitudes, and practices (KAP) during the pandemic especially the high-risk groups like pregnancy and post-partum period. Aim(s): To analyze the knowledge, attitude, practice and hospital experience regarding COVID-19 among pregnant and post-partum mothers at a tertiary care hospital in Kashmir. Method(s): A cross-sectional study was conducted among 403 research participants from a tertiary care hospital of Kashmir in year 2020-2021 using a semi-structured questionnaire. The confidentiality and anonymity of respondents was maintained. The data was entered in Microsoft Excel and analysed using Statistical Package for Social Sciences version 25. The findings were presented as percentages (95% confidence intervals;CI), median, means and Standard deviation. Result(s): A total of 403 post-partum women participated in the study. Almost all the participants had heard about COVID-19 (96.6%). A majority of them were aware about how COVID-19 gets transmitted and its preventive measures. Most of the participants (62%) knew that COVID-19 has effects on pregnancy. Almost all of participants (97%) wore mask during hospital stay. All of the women washed their hands with soap water or alcohol based sanitizer. A fewer of the mothers (20%) wore mask while breastfeeding their baby. The results of binary logistic regression analysis found associations between knowledge and marital status (OR = 4.983, 95% CI 1.894-13.107). Correlation analysis found a weak positive correlation between knowledge and practice scores (r = 0.210, p-value = 0.01). Conclusion(s): As the COVID-19 cases are still increasing globally, participants overall had high KAP scores. This study can guide public health strategies regarding pregnant women and COVID-19. We recommend that interventions to improve and attitude and practice scores.