bluuebunny/crossref_metadata_2025 huggingface dataset:
Influences of Distributive Injustice and Job Insecurity Amid COVID-19 on Unethical Pro-Organisational Behaviour: Mediating Role of Employee Turnover Intention
Authors: Aliedan Meqbel M. , Sobaih Abu Elnasr E. , Alyahya Mansour A. , Elshaer Ibrahim A.
Published: June 2022

Drawn on Social Exchange Theory and Conservation of Resources Theory, this study developed a research model to examine the direct influence of job insecurity and distributive injustice, which were common in many hotels amid COVID-19, on unethical pro-organisation behaviour (UPoB) among hotel employees. The study also examines the mediating role of turnover intention in the relationship between job insecurity, and distributive injustice, which was result of the COVID-19 pandemic on UPoB. For this purpose, a questionnaire survey was self-dropped and collected through personal network to hotel employees in Eastern Province of Saudi Arabia. The results of structural equation modelling using AMOS (version 23) supported all the study hypotheses. The results showed a significant positive influence of distributive injustice and job insecurity on UPoB among hotel employees. Moreover, turnover intention was found to have a partial mediation role in the relationship between job insecurity, distributive injustice and UPoB. The results extend our understanding of Social Exchange Theory and Conservation of Resources Theory that employees in hotels are more likely to protect themselves and their job by engaging in UPoB if they perceived their job at threat due to a crisis, i.e., the COVID-19 pandemic. The major conclusion of current research is that when hotels employees perceived job insecurity and distributive injustice because of the pandemic, they responded with high turnover intention and as a last choice engaging in UPoB to save their resources, in this case their jobs, since they have no other alternatives outside the organisations. However, this inappropriate antisocial behaviour could have a negative influence on both employees and organisation at the long term. The results of current research have several theoretical implications for tourism scholars and managerial implication for hoteliers.
Validation of a Speech Database for Assessing College Students’ Physical Competence under the Concept of Physical Literacy
Authors: Ma Rui-Si , Ng Si-Ioi , Lee Tan , Yang Yi-Jian , Sum Raymond Kim-Wai
Published: June 2022

This study developed a speech database for assessing one of the elements of physical literacy—physical competence. Thirty-one healthy and native Cantonese speakers were instructed to read a material aloud after various exercises. The speech database contained four types of speech, which were collected at rest and after three exercises of the Canadian Assessment of Physical Literacy 2nd Edition. To show the possibility of detecting each exercise state, a support vector machine (SVM) was trained on the acoustic features. Two speech feature sets, the extended Geneva Minimalistic Acoustic Parameter Set (eGeMAPS) and Computational Paralinguistics Challenge (ComParE), were utilized to perform speech signal processing. The results showed that the two stage four-class SVM were better than the stage one. The performances of both feature sets could achieve 70% accuracy (unweighted average recall (UAR)) in the three-class model after five-fold cross-validation. The UAR result of the resting and vigorous state on the two-class model running with the ComParE feature set was 97%, and the UAR of the resting and moderate state was 74%. This study introduced the process of constructing a speech database and a method that can achieve the short-time automatic classification of physical states. Future work on this corpus, including the prediction of the physical competence of young people, comparison of speech features with other age groups and further spectral analysis, are suggested.
Trends in Mortality from Ischemic Heart Disease in Peru, 2005 to 2017
Authors: Vázquez-Troche Jesús Austin , García-Fernández Vanessa , Hernández-Vásquez Akram , Vargas-Fernández Rodrigo , Bendezu-Quispe Guido
Published: June 2022

The highest proportion of deaths among patients with cardiovascular diseases is due to ischemic heart disease (IHD), which is the second most common cause of death in Peru. This study aims to measure and identify changes in the temporal trend in mortality from ischemic heart disease in the Peruvian population. An ecological study was carried out with data from individual death records from the Ministry of Health between 2005 and 2017. A death was considered attributable to IHD if it was registered with the codes I20 to I25 of the ICD-10. Crude and adjusted mortality rates for IHD were calculated for the general population by age and according to sex. A joinpoint regression analysis was performed to assess trends in IHD mortality. There were 61,524 deaths due to IHD (55.69% men) from 2005 to 2017. According to the ICD-10, acute myocardial infarction (I21) accounted for the highest proportion of deaths (88.16%), followed by chronic IHD (I25), with 6.53%. In general, a decrease in adjusted IHD mortality rates was found in the general population over time (45.34 in 2005; 22.18 in 2017). By sex, men possessed a 1.5-fold higher rate than women. The highest mortality rates from IHD were found in the natural coastal region (68.55%) and in urban areas (86.43%). A joinpoint regression analysis showed a reduction in the mortality trend over time due to IHD for both the general population and the population when grouped by sex. In conclusion, there was a continuous decrease in mortality rates due to IHD in the Peruvian population between 2005 and 2017. Strategies focused on mitigating the impact of this disease are required and should emphasize the subgroups most likely to die from this cause.
Acute Effects of High-Intensity Interval Training on Diabetes Mellitus: A Systematic Review
Authors: de Oliveira Teles Gabriela , da Silva Carini Silva , Rezende Vinicius Ramos , Rebelo Ana Cristina Silva
Published: June 2022

This study evaluated the scientific evidence on the acute effects of high-intensity interval training (HIIT) on biochemical, cardiovascular, and metabolic parameters in patients with diabetes mellitus. The research took place using two databases (PubMed and Google Scholar) with eligible studies conducted between 2010 and 2020, using the following keywords: (1) high-intensity training/exercise; (2) interval training/exercise; (3) HIIT/exercise; AND “diabetes”. Data extraction was then performed on the eligible studies through content analysis using the categories: author and year of publication; sample characteristics; methods and data collected; intervention protocol; and results found. Methodological quality was assessed using the PEDro scale. Fourteen studies were included, evaluating 168 people with diabetes (122/46 type 2/1) and 42 normoglycemic individuals, which evaluated markers such as capillary and fasting blood glucose, 24-h blood glucose profile, postprandial blood glucose, incidence, and prevalence of hyperglycemia, vascular function and pressure response and control of inflammatory markers. Physical exercise was found to have several acute beneficial effects on the health of the diabetic population, such as reduced capillary and postprandial blood glucose, blood glucose profile, and blood pressure. Moreover, HIIT seems to be a safe and effective alternative in glycemic control and associated factors, superior to continuous moderate-intensity training.
Perceived Epidemic Risk and Depression Symptoms during the COVID-19 Pandemic: The Mediating Role of Security and the Moderation Role of Perceived Discrimination
Authors: Hu Yunjun , Shu Lingling , Zhang Huilin , Wang Chen , Yu Chengfu , Cui Guanyu
Published: June 2022

The 2019 coronavirus disease pandemic has resulted in a significant increase in the incidence and prevalence of mental health problems such as anxiety and depression, posing a threat to peoples’ lives and health safety all over the world. Research suggests some potential relationships among perceived risk, discrimination, security, and depression symptoms. However, little attention has been paid to the complex mechanisms of the associations between these variables. This study aimed to examine the mediating role of security and moderation role of perceived discrimination in the prediction of perceived epidemic risk on depression symptoms. Thus, we aimed to identify if perceived epidemic risk is a positive predictor of depression. A cross-sectional study was conducted through an anonymous online survey in China during the COVID-19 pandemic which measured perceived epidemic risk, discrimination, security, and depression symptoms. A total of 3443 valid questionnaires were obtained. The results indicated that depression symptoms were predicted by perceived epidemic risk through the mediating role of security, and this mediating role of security was moderated by perceived discrimination. Specifically, high levels of perceived discrimination may lead to a significant decrease in personal security, thus clustering depressive symptoms. These findings shed light on the influence of the perceived risk of the epidemic on depression symptoms in the context of the epidemic situation, which may help to develop targeted interventions.
Evaluation Method of the Driving Workload in the Horizontal Curve Section Based on the Human Model of Information Processing
Authors: Liu Huan , Xu Jinliang , Zhang Xiaodong , Gao Chao , Sun Rishuang
Published: June 2022

The aim of this study was to quantify the effect of radius over horizontal curve sections on driving workload (DW). Twenty-five participants participated in the driving simulation experiments and completed five driving scenes. The NASA-TLX scale was used to measure the mental demand, physical demand, and temporal demand in various scenes, which were applied to assess subjective workload (SW). Objective workload (OW) assessment methods were divided into three types, in which the eye tracker was used to measure the blink frequency and pupil diameter, and the electrocardiograph (ECG) was used to measure the heart rate and the heart rate variability. Additionally, the simulator was used to measure the lateral position and the steering wheel angle. The results indicate that radius is negatively correlated with DW and SW, and the SW in a radius of 300 m is approximately twice that in a radius of 550 m. Compared with the ECG, the explanatory power of the OW can be increased to 0.974 by combining eye-movement, ECG, and driving performance. Moreover, the main source of the DW is the maneuver stage, which accounts for more than 50%. When the radius is over 550 m, the DW shows few differences in the maneuver stage. These findings may provide new avenues of research to harness the role of DWs in optimizing traffic safety.
Variations in the Course and Diameter of the Suprascapular Nerve: Anatomical Study
Authors: Montané-Blanchart Marta , Miguel-Pérez Maribel , Rodero-de-Lamo Lourdes , Möller Ingrid , Pérez-Bellmunt Albert , Martinoli Carlo
Published: June 2022

(1) Background: Suprascapular neuropathy is an important factor contributing to shoulder pain. Given the prevalence of nerve injury and nerve block in the suprascapular notch region, as well as the frequency of arthroscopic procedures on the suprascapular notch, which are recommended in shoulder pain management, its morphology is relevant from a clinical perspective. (2) Methods: Suprascapular nerve course was studied in twelve shoulders by dissection. Its diameter was measured at omohyoid level, proximal to the suprascapular notch and distal to the spinoglenoid notch. A multi-vari chart was used in order to descriptively visualize the results. The variations found were analyzed with a mixed linear model. (3) Results: In two of the six subjects, the suprascapular nerve was divided into two motor branches proximal to the superior transverse scapular ligament. An increase in diameter around the suprascapular notch was detected, with an estimated difference between diameter means of 2.008 mm at the suprascapular notch level and 2.047 mm at the spinoglenoid notch level. (4) Conclusions: A difference in the estimated diameter detected and the fact that the motor branches, which innervate supraspinatus and infraspinatus muscle, were divided proximal to the suprascapular notch may be relevant in the diagnosis and treatment of suprascapular neuropathy and arthroscopic procedures.
Mental Health during COVID-19 Pandemic: Qualitative Perceptions among Lithuanian Adolescents
Authors: Lukoševičiūtė Justė , Šmigelskas Kastytis
Published: June 2022

Background: Since the COVID-19 pandemic emerged, humanity has had to face unprecedented change in daily routines. Therefore, the pandemic has also had an impact on mental health. Most of the literature analyzes adult experiences during the COVID-19 pandemic, while the youth is less investigated. The purpose of this study was to reveal adolescent experiences during COVID-19. Methods: This qualitative study consisted of 19 adolescents from 11–17 years old. Semi-structured in-depth interviews were conducted, and thematic analysis was applied. Results: Five themes were identified: ambivalent feelings; daily routine changes; disappointment with distance education; coping strategies; and discoveries. Conclusion: The study revealed adolescents’ mostly negative feelings such as sadness, anger, loneliness, or boredom. They shared about frustrating daily routine changes and shifting to a distance education mode that was quite limited in effectiveness and convenience. Nonetheless, communication with family, peers, pets, active leisure, and favorite activities helped them to cope with the difficulties during COVID-19. During this period, adolescents had more free time for themselves and personal growth, found new activities, or improved some relationships. Overall, the COVID-19 pandemic had mostly negative side effects, and regardless of positive experiences, it was mainly considered by adolescents as an adversity for their mental health.
Modifiable Resources and Resilience in Racially and Ethnically Diverse Older Women: Implications for Health Outcomes and Interventions
Authors: Springfield Sparkle , Qin Feifei , Hedlin Haley , Eaton Charles B. , Rosal Milagros C. , Taylor Herman , Staudinger Ursula M. , Stefanick Marcia L.
Published: June 2022

Introduction: Resilience—which we define as the “ability to bounce back from stress”—can foster successful aging among older, racially and ethnically diverse women. This study investigated the association between psychological resilience in the Women’s Health Initiative Extension Study (WHI-ES) and three constructs defined by Staudinger’s 2015 model of resilience and aging: (1) perceived stress, (2) non-psychological resources, and (3) psychological resources. We further examined whether the relationship between resilience and key resources differed by race/ethnicity. Methods: We conducted a secondary analysis on 77,395 women aged 62+ (4475 Black or African American; 69,448 non-Hispanic White; 1891 Hispanic/Latina; and 1581 Asian or Pacific Islanders) who enrolled in the WHI-ES, which was conducted in the United States. Participants completed a short version of the Brief Resilience Scale one-time in 2011. Guided by Staudinger’s model, we used linear regression analysis to examine the relationships between resilience and resources, adjusting for age, race/ethnicity, and stressful life events. To identify the most significant associations, we applied elastic net regularization to our linear regression models. Findings: On average, women who reported higher resilience were younger, had fewer stressful life events, and reported access to more resources. Black or African American women reported the highest resilience, followed by Hispanic/Latina, non-Hispanic White, and Asian or Pacific Islander women. The most important resilience-related resources were psychological, including control of beliefs, energy, personal growth, mild-to-no forgetfulness, and experiencing a sense of purpose. Race/ethnicity significantly modified the relationship between resilience and energy (overall interaction p = 0.0017). Conclusion: Increasing resilience among older women may require culturally informed stress reduction techniques and resource-building strategies, including empowerment to control the important things in life and exercises to boost energy levels.
Evaluating the Prevalence and Predictors of Moderate to Severe Depression in Fort McMurray, Canada during the COVID-19 Pandemic
Authors: Obuobi-Donkor Gloria , Eboreime Ejemai , Shalaby Reham , Agyapong Belinda , Oluwasina Folajinmi , Adu Medard , Owusu Ernest , Mao Wanying , Agyapong Vincent I. O.
Published: June 2022

Background: The Coronavirus disease (COVID-19) pandemic has produced adverse health consequences, including mental health consequences. Studies indicate that residents of Fort McMurray, a community which has experienced trauma from flooding and wildfires in the past, may be more vulnerable to the mental health effects of the pandemic. Objective: This study aimed to examine the prevalence and predictors of likely Major Depressive Disorder (MDD) among residents of Fort McMurray during the COVID-19 pandemic. Methods: A cross-sectional approach was adopted utilizing an online survey questionnaire to gather sociodemographic data, COVID-19 related data, and clinical information, including likely MDD using the Patient Health Questionnaire (PHQ-9) scale, from the residents of Fort McMurray between the period of 24 April to 2 June 2021. Results: Overall, 186 individuals completed the survey out of 249 residents who accessed the online survey, yielding a completion rate of 74.7%. The prevalence of likely MDD among respondents was 45%. Respondents willing to receive mental health counselling were five times more likely to experience MDD during the COVID-19 pandemic (OR = 5.48; 95% CI: 1.95–15.40). Respondents with a history of depression were nearly five folds more likely to report MDD during the era of the pandemic than residents without a history of depression (OR = 4.64; 95% CI: 1.49–14.44). Similarly, respondents with a history of taking hypnotics (sleeping tablets) were nearly six-fold more likely to express MDD than respondents with no history of receiving sleeping tablets (OR = 5.72; 95% CI: 1.08–30.30). Finally, respondents who reported receiving only partial support from the employer had three times higher odds of having likely MDD than those who received absolute support from the employer (OR = 3.50; 95% CI: 1.24–9.82). Conclusion: In addition to the effect of the pandemic and other measures taken to curb the psychopathological impact of the pandemic, policymakers need to implement policies to manage individuals with preexisting mental health conditions and provide strong employer support.
Concentration, Propagation and Dilution of Toxic Gases in Underground Excavations under Different Ventilation Modes
Authors: Menéndez Javier , Merlé Noe , Fernández-Oro Jesús Manuel , Galdo Mónica , de Prado Laura Álvarez , Loredo Jorge , Bernardo-Sánchez Antonio
Published: June 2022

The drill-and-blast method is widely used for the excavation of hard rock tunnels. Toxic gases such as carbon monoxide and nitrogen oxides are released immediately after blasting by the detonation of explosives. To provide a safe working environment, the concentration of noxious gases must be reduced below the threshold limit value according to health and safety regulations. In this paper, one-dimensional mathematical models and three-dimensional CFD numerical simulations were conducted to analyze the concentration, propagation and dilution of the blasting fumes under different operating conditions. Forced, exhaust and mixed ventilation modes were compared to determine the safe re-entry times after blasting in a 200 m-long tunnel excavated using the top-heading-and-benching method. Based on the numerical simulations, carbon monoxide was the most critical gas, as it required a longer ventilation time to reduce its concentration below the threshold limit value. The safe re-entry time reached 480 s under the typical forced ventilation mode, but was reduced to 155 s when a mixed ventilation system was used after blasting, reducing the operating costs. The reduction of the re-entry time represents a significant improvement in the excavation cycle. In addition, the results obtained show that 1D models can be used to preliminary analyze the migration of toxic gases. However, to reliably determine the safe re-entry times, 3D numerical models should be developed. Finally, to verify the accuracy of the CFD results, field measurements were carried out in a railway tunnel using gas sensors. In general, good agreements were obtained between the 3D numerical simulations and the measured values.
Estimating the Impact of Air Pollution on Healthcare-Seeking Behaviour by Applying a Difference-in-Differences Method to Syndromic Surveillance Data
Authors: Morbey Roger , Smith Gillian , Exley Karen , Charlett André , de Angelis Daniela , Harcourt Sally , Gonzalez Felipe , Lake Iain , Dobney Alec , Elliot Alex
Published: June 2022

Syndromic surveillance data were used to estimate the direct impact of air pollution on healthcare-seeking behaviour, between 1 April 2012 and 31 December 2017. A difference-in-differences approach was used to control for spatial and temporal variations that were not due to air pollution and a meta-analysis was conducted to combine estimates from different pollution periods. Significant increases were found in general practitioner (GP) out-of-hours consultations, including a 98% increase (2–386, 95% confidence interval) in acute bronchitis and a 16% (3–30) increase in National Health Service (NHS) 111 calls for eye problems. However, the numbers involved are small; for instance, roughly one extra acute bronchitis consultation in a local authority on a day when air quality is poor. These results provide additional information for healthcare planners on the impacts of localised poor air quality. However, further work is required to identify the separate impact of different pollutants.
Analyzing the Asymmetric Effect of Renewable Energy Consumption on Environment in STIRPAT-Kaya-EKC Framework: A NARDL Approach for China
Authors: Jiang Youxue , Batool Zakia , Raza Syed Muhammad Faraz , Haseeb Mohammad , Ali Sajjad , Zain Ul Abidin Syed
Published: June 2022

This study aims to analyze the asymmetric relation between renewable energy consumption and CO2 emissions in China using the STIRPAT-Kaya-EKC framework. To delve into the asymmetric effect of renewable energy consumption on the environment, the non-linear ARDL model is used. The results of this study confirm the asymmetric impact of renewable energy on the environment in the long run as well as in the short run. However, the negative shocks to renewable energy have a greater detrimental influence on the environment than the benign effect due to the positive shock to renewable energy. Population growth affects the environment in the short run, whereas technology only affects environment quality in the long run. Moreover, the study supports the EKC theory in China. This research emphasizes that the administration can improve the economy’s lifespan by allocating substantial funds to establish legislation to maintain a clean environment by subsidizing renewable energy infrastructure and research and innovations for low-carbon projects.
Videoconference-Based Physical Performance Tests: Reliability and Feasibility Study
Authors: Espin Ander , García-García Julia , Latorre Erezuma Unai , Aiestaran Maialen , Irazusta Jon , Rodriguez-Larrad Ana
Published: June 2022

Validated tools to evaluate physical performance remotely with real-time supervision are lacking. We assessed test–retest and inter-rater reliability, as well as the feasibility of carrying out the five-repetition sit-to-stand (5RSTS), kneeling push-up (KPU) and Shirado–Ito trunk flexor endurance (SIF) tests by 1:1 real-time videoconference. We also evaluated the correlation of these tests with measures of self-reported physical fitness, physical activity, health state and pain. A total of 96 healthy adults participated in the study (18–65 years). Relative and absolute reliabilities were assessed with the intraclass correlation coefficient (ICC) and standard error of measurement (SEM), respectively. Feasibility outcomes included testing duration, participant acceptability (1–5 Likert scale) and presence of adverse events. Self-reported measures were obtained with validated online questionnaires, and correlations were analyzed with Pearson’s partial correlation coefficients controlling for age. ICCs were excellent (>0.9), and SEMs were generally low (2.43–16.21%). The mean duration of all tests was <5 min, mean acceptability was ≥4.5, and adverse events were few. The KPU showed statistically significant correlations with various self-reported measures (p < 0.05). In conclusion, the 5RSTS, KPU and SIF were reliable and feasible when conducted by 1:1 real-time videoconference. This study provides a tool that could be logistically and economically advantageous.
Research on Disparities in Primary Health Care in Rural versus Urban Areas: Select Perspectives
Authors: Basu Jayasree
Published: June 2022

Much of the differences in health care outcomes can be attributed to the differential rates of primary health care utilization and resource allocation across population subgroups [...]
Process Evaluation of a Comprehensive Intervention for the Early Detection and Prevention of Oral Cancer: A Mixed Methods Study
Authors: Moafa Ibtisam , Jafer Mohammed , Van Den Borne Bart , Hoving Ciska
Published: June 2022

Process evaluations help to understand and refine health interventions. The “ISAC” intervention targeted the enhancement of early detection and prevention of oral cancer (OC) through tobacco-cessation counseling, patient communications, and ISAC role-modeling. Over six months, throughout ISAC implementation in the Jazan region of Saudi Arabia, Linnan and Steckler’s process evaluation framework’s specified indicators were assessed, by mixed methods, on context, reach, dose delivered, dose received, fidelity, recruitment, and participant’s satisfaction. Findings showed that 47 of 80 (58.75%) eligible dentists were reached and received all components. Thirty-six (76.6%) participants reported reading all intervention materials, visited the ISAC website, scored high on the perceived quality of provided information (M = 4.62 ± 0.63), and provided support (M = 4.67 ± 0.57). The fidelity was scored high across all intervention components. Role-modeling of the ISAC had the highest satisfaction score (M = 9.77 ± 0.58 out of 10). High perceived-effects were reported in relation to feeling confident in performing OC examination and training patients on OC self-examination (3.95 ± 0.22). The intervention attained high implementation levels for dose delivered, dose received, and fidelity. The intervention delivery was associated with high satisfaction and perceived effects. Using multiple data sources enhanced the understanding of the implementation process and strengthened the validity of the study’s findings.
Predictors of Vaccine Hesitancy among Health Care Workers during the COVID-19 Pandemic
Authors: Elliott Timothy R. , Perrin Paul B. , Powers Mark B. , Jacobi Katelin S. , Warren Ann Marie
Published: June 2022

Most studies of COVID-19 vaccine hesitancy among health care workers (HCWs) have been descriptive, few have tested models to predict hesitancy, and none have examined the possible relationship between HCWs’ distress and vaccine hesitancy. This study examined predictors of COVID-19 vaccine hesitancy, including HCWs’ distress after taking into account HCW sex, doctoral-level status, race, age, and exposure to COVID-19. Further, it examined specific reasons HCWs endorsed for their hesitancy. 266 HCWs in the United States (U.S.). completed an online survey administered in January 2021, following the availability of the vaccine for HCWs in the U.S. The survey assessed demographics, depression, anxiety, COVID-19 vaccine hesitancy, and reasons for hesitancy. A comprehensive linear regression model explained 72.2% of the variance in COVID-19 vaccine hesitancy. HCWs were more hesitant if they did not know someone personally who had tested positive. Distress had no effect. The reasons most predicting vaccine hesitancy included safety, potential side effects, believing the risks from COVID-19 were lower than from the vaccine, not feeling at risk for getting COVID-19, and current pregnancy. Rather than rely on providing information about the COVID-19 vaccines to HCWs, strategies that address their concerns are required to promote vaccine acceptance. Contemporary issues of political polarization, misinformation and mistrust are likely to contribute to the concerns HCWs have about the COVID-19 vaccines.
The Mereology of Depression—Networks of Depressive Symptoms during the Course of Psychotherapy
Authors: Höller Inken , Schreiber Dajana , Bos Fionneke , Forkmann Thomas , Teismann Tobias , Margraf Jürgen
Published: June 2022

(1) Background: Research has shown that it is important to examine depressive symptoms in the light of the mereology (the ratio between one symptom and the whole disorder). The goal of this study was to examine changes in the symptom interrelations of patients undergoing cognitive behavioral therapy treatment (CBT) via network analyses. (2) Method: Outpatients with depressive symptoms (N = 401) were assessed with the Beck Depression Inventory three times (pretreatment, after 12 sessions, and post-treatment) during CBT. Gaussian graphical models were used to estimate the relationships among symptoms. (3) Results: The severity of depressive symptoms significantly decreased over the course of therapy, but connectivity in the networks significantly increased. Communities of symptoms changed during treatment. The most central and predictable symptom was worthlessness at baseline and after 12 sessions, and loss of energy and self-dislike at post-treatment. (4) Conclusion: The results indicate that the severity of depressive symptoms decreased during cognitive behavior therapy, while network connectivity increased. Furthermore, the associations among symptoms and their centrality changed during the course of therapy. Future studies may investigate individual differences and their impact on the planning of psychotherapeutic treatment.
How Much Do We Care about Teacher Burnout during the Pandemic: A Bibliometric Review
Authors: Gómez-Domínguez Valentina , Navarro-Mateu Diego , Prado-Gascó Vicente Javier , Gómez-Domínguez Teresa
Published: June 2022

In this study, a descriptive bibliometric analysis of the scientific production was performed in the Web of Science on burnout and/or stress in teachers in pandemic situations. The aim of the study was to analyse the scientific production on stress and burnout in teachers during the COVID-19 pandemic. A total of 75 documents from 33 journals with 3947 cited references were considered, with 307 researchers from 35 countries publishing at least one article. The country with the most publications was the USA, followed by China and Spain. The USA was the country with the most collaborations. A total of 184 institutions published documents, and the universities with the most records were Christopher Newport and Columbia, although the American University of Sharjah and Cape Breton University had a higher overall citation coefficient. Of the 33 journals that have published on the subject, Frontiers in Psychology and the International Journal of Environmental Research and Public Health stood out in terms of the number of articles, and they were also listed in this order with regard to their impact factor.
Editorial Statement and Research Ideas on Using Behavioral Models in Environmental Research and Public Health with Applications
Authors: Wong Wing-Keung
Published: June 2022

Behavioral models are very important in the development of both environmental research and public health because much of the evidence of empirical findings cannot be explained by using the traditional theories in environmental research and public health; behavioral models play a key role in the analytical apparatus of contemporary approaches to overcome the difficulty in all areas of both environmental research and public health [...]
Bedtime Monitoring for Fall Detection and Prevention in Older Adults
Authors: Fernández-Bermejo Ruiz Jesús , Dorado Chaparro Javier , Santofimia Romero Maria José , Villanueva Molina Félix Jesús , del Toro García Xavier , Bolaños Peño Cristina , Llumiguano Solano Henry , Colantonio Sara , Flórez-Revuelta Francisco , López Juan Carlos
Published: June 2022

Life expectancy has increased, so the number of people in need of intensive care and attention is also growing. Falls are a major problem for older adult health, mainly because of the consequences they entail. Falls are indeed the second leading cause of unintentional death in the world. The impact on privacy, the cost, low performance, or the need to wear uncomfortable devices are the main causes for the lack of widespread solutions for fall detection and prevention. This work present a solution focused on bedtime that addresses all these causes. Bed exit is one of the most critical moments, especially when the person suffers from a cognitive impairment or has mobility problems. For this reason, this work proposes a system that monitors the position in bed in order to identify risk situations as soon as possible. This system is also combined with an automatic fall detection system. Both systems work together, in real time, offering a comprehensive solution to automatic fall detection and prevention, which is low cost and guarantees user privacy. The proposed system was experimentally validated with young adults. Results show that falls can be detected, in real time, with an accuracy of 93.51%, sensitivity of 92.04% and specificity of 95.45%. Furthermore, risk situations, such as transiting from lying on the bed to sitting on the bed side, are recognized with a 96.60% accuracy, and those where the user exits the bed are recognized with a 100% accuracy.
Variations in Manual Dexterity in 11- and 12-Year-Old Children in the North of Spain in the SARS-CoV-2 Lockdown
Authors: Ramos-Álvarez Oliver , Arufe-Giráldez Víctor , Sanmiguel-Rodríguez Alberto , Navarro-Patón Rubén
Published: June 2022

Between March and June 2019, the SARS-CoV-2 virus broke out in Spain. The lockdown in response entailed the modification of certain habits in the infant–juvenile population, such as those related to the practice of physical activity and the implications derived from it. The aim of this study was to learn the impacts that lockdown had on manual dexterity in children aged 11–12 years. Methods: A total of 50 Spanish children aged 11–12 years (M = 11.40; SD = 0.50) participated, 33 (66%) boys and 17 (34%) girls. The Movement Assessment Battery for Children 2 (Movement ABC-2) and an ad hoc questionnaire for socio-demographic data and other relevant information were administered for the data collection. Results: There are significant differences (p < 0.05) in the results for the manual dexterity variables measured by the peg turning and line drawing tests as well as by the measured, scalar and percentile dimension scores for manual dexterity between before and after the lockdown in both boys and girls. No significant differences were found in measurements related to the triangle assembly variable (p = 0.125). Conclusions: A significant negative impact of SARS-CoV-2 lockdown on manual dexterity values was evident in boys and girls aged 11–12 years.
Prediction and Trend Analysis of Regional Industrial Carbon Emission in China: A Study of Nanjing City
Authors: Zhang Zhicong , Xie Hao , Zhang Jubing , Wang Xinye , Wei Jiayu , Quan Xibin
Published: June 2022

Based on the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model, the impact factors of industrial carbon emission in Nanjing were considered as total population, industrial output value, labor productivity, industrialization rate, energy intensity, research and development (R&D) intensity, and energy structure. Among them, the total population, industrial output value, labor productivity, and industrial energy structure played a role in promoting the increase of industrial carbon emissions in Nanjing, and the degree of influence weakened in turn. For every 1% change in these four factors, carbon emissions increased by 0.52%, 0.49%, 0.17% and 0.12%, respectively. The industrialization rate, R&D intensity, and energy intensity inhibited the increase of industrial carbon emissions, and the inhibiting effect weakened in turn. Every 1% change in these three factors inhibited the increase of industrial carbon emissions in Nanjing by 0.03%, 0.07%, and 0.02%, respectively. Then, taking the relevant data of industrial carbon emissions in Nanjing from 2006 to 2020 as a sample, the gray rolling prediction model with one variable and one first-order equation (GRPM (1,1)) forecast and scenario analysis is used to predict the industrial carbon emission in Nanjing under the influence of the pandemic from 2021 to 2030, and the three development scenarios were established as three levels of high-carbon, benchmark and low-carbon, It was concluded that Nanjing’s industrial carbon emissions in 2030 would be 229.95 million tons under the high-carbon development scenario, 226.92 million tons under the benchmark development scenario, and 220.91 million tons under the low-carbon development scenario. It can not only provide data reference for controlling industrial carbon emissions in the future but also provide policy suggestions and development routes for urban planning decision-makers. Finally, it is hoped that this provides a reference for other cities with similar development as Nanjing.
Evaluating Impacts of Bus Route Map Design and Dynamic Real-Time Information Presentation on Bus Route Map Search Efficiency and Cognitive Load
Authors: Wu Chih-Fu , Gao Chenhui , Lin Kai-Chieh , Chang Yi-Hsin
Published: June 2022

The purpose of this study was to explore the impact of different design methods of bus route maps and dynamic real-time information on the bus route map search efficiency and cognitive load. A total of 32 participants were tested through an experiment of destination bus route searching, and the NASA-TLX scale was used to measure their cognitive load. Two route map schemes were designed according to the research purposes and application status. One was a collinear bus route map with geographic location information based on a realistic map, the other was a highly symmetric straight-line collinear bus route map without map information, and two different types of dynamic real-time information reminder methods were designed (the dynamic flashing of the number of the bus entering the stop, and the dynamic animated flash of the route of the bus entering the stop). Then, four different combinations of the bus route maps were used for testing through the search task of bus routes available for bus destinations. The results indicated no significant difference in the search efficiency between the map-based bus route map and the linear bus route map, but the cognitive load of the map-based bus route map was higher than that of the linear route map. In the presentation of dynamic real-time information, neither the search performance nor the cognitive load of the dynamic flashing of the route of the bus entering the stop was as good as those of the flashing of the number only of the bus entering the stop. In addition, it was found that, compared with men, the cognitive load for women was more affected by geographic information. The optimization strategies of the bus route map information design were proposed by the comprehensive consideration of the feedback of route maps and real-time information.
3D Modeling Method for Dome Structure Using Digital Geological Map and DEM
Authors: Liu Xian-Yu , Li An-Bo , Chen Hao , Men Yan-Qing , Huang Yong-Liang
Published: June 2022

Geological maps have wide coverage with low acquisition difficulty. When other geological survey data are scarce, they are a valuable source of geological structure information for geological modeling. However, for structures with large deformation, geological map information has difficulty meeting the requirement of its 3D geological modeling. Therefore, this paper takes the dome structure as an example to explore a 3D modeling method based on geological maps, DEM and related geological knowledge. The method includes: (1) adaptively calculating the attitude of points on the stratigraphic boundaries; (2) inferring and generating the bottom boundary of the model from the attitude data of the boundary points; (3) generating the model interface constrained by Bézier curves based on the bottom boundary; (4) generating the top and bottom surfaces of the stratum; and (5) stitching each surface of the geological body to generate the final dome model. Case studies of the dome in Wulongshan in China and the Richat structure in Mauritania show that this method can build a solid model of the dome based only on geological maps and DEM data, whose morphological features are basically consistent with those embodied in the section view or the model generated by traditional methods.
Zebrafish Xenograft Model for Studying Pancreatic Cancer-Instructed Innate Immune Microenvironment
Authors: Wang Xue , Li Wei , Jiang Haowei , Ma Cui , Huang Mengling , Wei Xiaona , Wang Wei , Jing Lili
Published: June 2022

Pancreatic ductal adenocarcinoma (PDAC) has up to half the tumor mass of tumor-associated myeloid cells. Myeloid innate immune cells play important roles in regulating cancer cell recognition and tumor growth. PDAC cells often mold myeloid cells into pro-tumoral state to fuel cancer growth and induce immune suppression. However, how tumor cells educate the innate immune responses remains largely unknown. In this study, we used four different human PDAC cell lines (PANC1, BxPC3, AsPC1, and CFPAC1) to establish the zebrafish xenograft model and investigated the interaction between pancreatic cancer and innate immune cells. The primary tumor-derived cancer cells PANC1 and BxPC3 activated innate immune anti-tumoral responses efficiently, while cancer cells from metastatic tissues AsPC1 and CFPAC1 induced an innate immune suppression and educated innate immune cells towards pro-tumoral state. Chemical conversion of innate immune cells to anti-tumoral state inhibited tumor growth for AsPC1 and CFPAC1. Moreover, genetic and pharmacological inhibition of macrophages also significantly reduced tumor growth, supporting the important roles of macrophages in innate immune suppression. REG4 expression is high in AsPC1 and CFPAC1. Knockdown of REG4 induced innate immune activation and reduced tumor growth in the xenografts, indicating that REG4 is a beneficial target for PDAC therapy. Our study provides a fast in-vivo model to study PDAC-innate immune interaction and their plasticity that could be used to study the related mechanism as well as identify new drugs to enhance immunotherapy.
Comprehensive Integrated Single-Cell Whole Transcriptome Analysis Revealed the p-EMT Tumor Cells—CAFs Communication in Oral Squamous Cell Carcinoma
Authors: Huynh Nam Cong-Nhat , Huang Tze-Ta , Nguyen Chi Thi-Kim , Lin Fang-Kuei
Published: June 2022

Cancer-associated fibroblasts (CAFs) and partial epithelial–mesenchymal transition (p-EMT) tumor cells are closed together and contribute to the tumor progression of oral squamous cell carcinoma (OSCC). In the present study, we deeply analyzed and integrated OSCC single-cell RNA sequencing datasets to define OSCC CAFs and p-EMT subpopulations. We highlighted the cell–cell interaction network of CAFs and p-EMT tumor cells and suggested biomarkers for the diagnosis and prognosis of OSCC during the metastasis condition. The analysis discovered four subtypes of CAFs: one p-EMT tumor cell population, and cycling tumor cells as well as TNFSF12-TNFRSF25/TNFRSF12A interactions between CAFs and p-EMT tumor cells during tumor metastasis. This suggests the prediction of therapeutically targetable checkpoint receptor–ligand interactions between CAFs and p-EMT tumor cells in OSCC regarding the metastasis status.
Influence of Insulin Receptor Single Nucleotide Polymorphisms on Glycaemic Control and Formation of Anti-Insulin Antibodies in Diabetes Mellitus
Authors: Massarenti Laura , Aniol-Nielsen Christina , Enevold Christian , Toft-Hansen Henrik , Nielsen Claus Henrik
Published: June 2022

Single nucleotide polymorphisms (SNPs) in insulin and insulin receptor genes may influence the interaction between the two molecules, as may anti-insulin antibodies (IAs), commonly found in patients with type 1 diabetes mellitus (T1D) or type 2 diabetes mellitus (T2D) treated with exogenous insulin. We examined the impact of two SNPs in the human insulin gene (INS), rs3842752 and rs689, and two in the insulin receptor gene (INSR) rs2245649 and rs2229429, on disease susceptibility, glycaemic control, and IAs formation in 100 T1D patients and 101 T2D patients treated with insulin. 79 individuals without diabetes were typed as healthy controls. The minor alleles of rs3842752 and rs689 in INS protected against T1D (OR: 0.50, p = 0.01 and OR: 0.44; p = 0.002, respectively). The minor alleles of both rs2245649 and rs2229429 in INSR were risk factors for poor glycaemic control (HbA1c ≥ 80 mmol/mol) in T1D (OR: 5.35, p = 0.009 and OR: 3.10, p = 0.01, respectively). Surprisingly, the minor alleles of rs2245649 and rs2229429 in INSR associated strongly with the absence of IAs in T1D (OR = 0.28, p = 0.008 and OR = 0.30, p = 0.002, respectively). In conclusion, the minor alleles of the investigated INS SNPs protect against T1D, and the minor alleles of the investigated INSR SNPs are associated with poor glycaemic control and the absence of IAs in T1D.
Human Autonomy in the Era of Augmented Reality—A Roadmap for Future Work
Authors: Harborth David
Published: June 2022

Augmented reality (AR) has found application in online games, social media, interior design, and other services since the success of the smartphone game Pokémon Go in 2016. With recent news on the metaverse and the AR cloud, the contexts in which the technology is used become more and more ubiquitous. This is problematic, since AR requires various different sensors gathering real-time, context-specific personal information about the users, causing more severe and new privacy threats compared to other technologies. These threats can have adverse consequences on information self-determination and the freedom of choice and, thus, need to be investigated as long as AR is still shapeable. This communication paper takes on a bird’s eye perspective and considers the ethical concept of autonomy as the core principle to derive recommendations and measures to ensure autonomy. These principles are supposed to guide future work on AR suggested in this article, which is strongly needed in order to end up with privacy-friendly AR technologies in the future.