Using an LMS in Teaching English: A Qualitative Content Analysis of Medical Sciences Students’ Evaluations and Suggestions

In this study, I aimed to discover Iranian medical sciences students’ evaluation of using a Learning Management System (LMS) in teaching English and to collect their suggestions for using the system more efficiently. To collect data, I conducted semi-structured interviews with 38 students. The themes emerging from the qualitative content analysis of the students’ responses were (1) technical advantages (accessibility, and online homework bank), (2) educational gains (learning gains, benefits for professors, and professor-student interaction), (3) logistical benefits (optimizing class time, task management, and logistical support), (4) educational shortcomings (limited instruction, correction and feedback, and academic misconduct), (5) technical limitations (Internet problems, and technical glitches), (6) administrative problems (time mismanagement, and logistical challenges), (7) education development (instruction, educational materials, organizing tests, correction and feedback, and quantity and quality of assignments), (8) LMS platform modifications (offline platform, and upgrading the LMS), and (9) logistics improvement (student support, and time management). Based on the findings, the educational officials should consider the educational, technical and logistical requirements of using the LMS in the university programs, use a field-specific LMS or modify the existing one with an eye to the students’ needs, and improve the infrastructure required for using web-based educational technologies

Scientometric analysis of Radiology, Nuclear Medicine and Medical Imaging publications of Iran in the Web of Science and Scopus Databases

     Scientometric analysis should be given great heed in university and research centers for various research and educational reasons. This study aimed to carry out a scientometirc analysis of Radiology, Nuclear Medicine and Medical Imaging articles authored by Iranian researchers and published in journals indexed in the Web of Science and Scopus databases from 2001 to 2016. This is a cross-sectional descriptive study in which as many as 3335 documents authored by Iranian researchers were identified on the two citation databases using field-specific keywords. HistCite™, MS Excel and VOSviewer™ were used to analyze the data. The study discovered that in terms of publications in both citation databases, Iran is almost among the top 30 countries in quantitative and qualitative studies. Iran's contribution was, however, very low in both web of Science (0.32%) and Scopus (0.52%). It was found that “Iranian Journal of Radiation Research” and “Iranian Journal of Radiology” are indexed in both databases; Tehran University of Medical Sciences and University of Tehran are also the most contributing institutions in the databases. According to the findings of the study, it is recommended that Iranian researchers increase their scientific cooperation with researchers from other leading countries in these fields including the United States, Japan and Germany to gain a better quantity and quality of publications

Satisfaction of Mobile Users with mobile Application "Identification, Prevention, and Control of Bed Bugs": Designing and Developing Mobile Health Application

Introduction: Bed bugs are considered as public health nuisance insects, which can feed on humans and cause psychological distress, insomnia, anxiety, anemia, and skin itching in individuals. The aim of this study was to design and implement a mobile application "identification, prevention, and control of bed bug", and also to assess the satisfaction of mobile users with this application. Method: In the first phase of this study, the mobile application that includes three steps of identification, prevention, and control of bed bug, was designed and installed on the people's mobile phone. In the second phase, a descriptive cross-sectional study was conducted on 100 mobile users using an electronic questionnaire. Descriptive data were analyzed by SPSS version 18. Results: The satisfaction rate of the application users in most of the questions was at high level (more than 80%). According to the users' answers to the question about the impact of educational data presented through this application, its impact was high (78%). Conclusion: Due to high accessibility, this application increases individuals' knowledge, saves cost and time to control bed bugs, therefore, the use of this mobile health application is recommended

Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021

Background: Estimates of demographic metrics are crucial to assess levels and trends of population health outcomes. The profound impact of the COVID-19 pandemic on populations worldwide has underscored the need for timely estimates to understand this unprecedented event within the context of long-term population health trends. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 provides new demographic estimates for 204 countries and territories and 811 additional subnational locations from 1950 to 2021, with a particular emphasis on changes in mortality and life expectancy that occurred during the 2020–21 COVID-19 pandemic period. Methods: 22 223 data sources from vital registration, sample registration, surveys, censuses, and other sources were used to estimate mortality, with a subset of these sources used exclusively to estimate excess mortality due to the COVID-19 pandemic. 2026 data sources were used for population estimation. Additional sources were used to estimate migration; the effects of the HIV epidemic; and demographic discontinuities due to conflicts, famines, natural disasters, and pandemics, which are used as inputs for estimating mortality and population. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate under-5 mortality rates, which synthesised 30 763 location-years of vital registration and sample registration data, 1365 surveys and censuses, and 80 other sources. ST-GPR was also used to estimate adult mortality (between ages 15 and 59 years) based on information from 31 642 location-years of vital registration and sample registration data, 355 surveys and censuses, and 24 other sources. Estimates of child and adult mortality rates were then used to generate life tables with a relational model life table system. For countries with large HIV epidemics, life tables were adjusted using independent estimates of HIV-specific mortality generated via an epidemiological analysis of HIV prevalence surveys, antenatal clinic serosurveillance, and other data sources. Excess mortality due to the COVID-19 pandemic in 2020 and 2021 was determined by subtracting observed all-cause mortality (adjusted for late registration and mortality anomalies) from the mortality expected in the absence of the pandemic. Expected mortality was calculated based on historical trends using an ensemble of models. In location-years where all-cause mortality data were unavailable, we estimated excess mortality rates using a regression model with covariates pertaining to the pandemic. Population size was computed using a Bayesian hierarchical cohort component model. Life expectancy was calculated using age-specific mortality rates and standard demographic methods. Uncertainty intervals (UIs) were calculated for every metric using the 25th and 975th ordered values from a 1000-draw posterior distribution. Findings: Global all-cause mortality followed two distinct patterns over the study period: age-standardised mortality rates declined between 1950 and 2019 (a 62·8% [95% UI 60·5–65·1] decline), and increased during the COVID-19 pandemic period (2020–21; 5·1% [0·9–9·6] increase). In contrast with the overall reverse in mortality trends during the pandemic period, child mortality continued to decline, with 4·66 million (3·98–5·50) global deaths in children younger than 5 years in 2021 compared with 5·21 million (4·50–6·01) in 2019. An estimated 131 million (126–137) people died globally from all causes in 2020 and 2021 combined, of which 15·9 million (14·7–17·2) were due to the COVID-19 pandemic (measured by excess mortality, which includes deaths directly due to SARS-CoV-2 infection and those indirectly due to other social, economic, or behavioural changes associated with the pandemic). Excess mortality rates exceeded 150 deaths per 100 000 population during at least one year of the pandemic in 80 countries and territories, whereas 20 nations had a negative excess mortality rate in 2020 or 2021, indicating that all-cause mortality in these countries was lower during the pandemic than expected based on historical trends. Between 1950 and 2021, global life expectancy at birth increased by 22·7 years (20·8–24·8), from 49·0 years (46·7–51·3) to 71·7 years (70·9–72·5). Global life expectancy at birth declined by 1·6 years (1·0–2·2) between 2019 and 2021, reversing historical trends. An increase in life expectancy was only observed in 32 (15·7%) of 204 countries and territories between 2019 and 2021. The global population reached 7·89 billion (7·67–8·13) people in 2021, by which time 56 of 204 countries and territories had peaked and subsequently populations have declined. The largest proportion of population growth between 2020 and 2021 was in sub-Saharan Africa (39·5% [28·4–52·7]) and south Asia (26·3% [9·0–44·7]). From 2000 to 2021, the ratio of the population aged 65 years and older to the population aged younger than 15 years increased in 188 (92·2%) of 204 nations. Interpretation: Global adult mortality rates markedly increased during the COVID-19 pandemic in 2020 and 2021, reversing past decreasing trends, while child mortality rates continued to decline, albeit more slowly than in earlier years. Although COVID-19 had a substantial impact on many demographic indicators during the first 2 years of the pandemic, overall global health progress over the 72 years evaluated has been profound, with considerable improvements in mortality and life expectancy. Additionally, we observed a deceleration of global population growth since 2017, despite steady or increasing growth in lower-income countries, combined with a continued global shift of population age structures towards older ages. These demographic changes will likely present future challenges to health systems, economies, and societies. The comprehensive demographic estimates reported here will enable researchers, policy makers, health practitioners, and other key stakeholders to better understand and address the profound changes that have occurred in the global health landscape following the first 2 years of the COVID-19 pandemic, and longer-term trends beyond the pandemic

Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation

ATTEST - T4.4 -Tool for ancillary services procurement in day-ahead operation planning of the transmission network

<p>Tool for ancillary services procurement in day-ahead operation planning of the transmission network. This code is capable of runnig the following problems:Contingency Filtering, AC-optimal power flow, AC-security constrained optimal power flow, Tractable Stochastic Multi-period AC-SCOPF (S-MP-SCOPF), Security Assessment, Power Flow, which will be activated by inserting 1 to 6 in REPL, respectively. This program is free software: you can redistribute it and/or modify it under the terms of the European Union Public Licence v1.2 as published by the European Union.</p&gt

The relationship between empowerment, occupational burnout, and job stress among nurses in Rasht Medical Education Centers: A dataset

The data in this article show the relationship between empowerment, occupational burnout and job stress among nurses in medical education centers in the city of Rasht, Iran. This descriptive correlational study was carried out from January 2016 to June 2017. The study sample included 316 nurses working at the teaching hospitals in Rasht; they were selected using stratified random sampling. The data were collected by a standard questionnaire which was rated based on the five-point Likert Scale. Data analysis was performed by SPSS-22 and SmartPLS software. Data analyzing showed that the mean scores of occupational burnout and job stress were lower than the average level. There was a significant relationship between empowerment and job stress and between job stress and occupational burnout. However, there was no significant association between empowerment and occupational burnout. It was discovered that job stress played a mediating role on the relationship between empowerment and occupational burnout. Keywords: Empowerment, Occupational burnout, Job stress, Nurse