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The various possibilities that social media offers to language learners and teachers have long been recognized by researchers within the field of language instruction, and many studies have been carried out in an attempt to address and unpack its potential contributions. This paper aims to review such research on the use of mainstream social media in language teaching and learning published in "Computer Assisted Language Learning," a top tier (i.e., Q1) journal indexed in major citation index systems (e.g., Arts & Humanities Citation Index, the Social Sciences Citation Index and Scopus), between the years 2016-2020 inclusive. For the purposes of the study, a total of 23 articles that meet the selection criteria is reviewed and presented in five sections. The first section deals with the majority of the articles, which are found to be on the use of social networking in language teaching and learning. In the following sections, studies on the use of videoconferencing, wikis, blogging and forums are discussed. Collectively, the studies reviewed in this paper outline a critical role for the use of social media in language instruction and the study aims to provide valuable insights for researchers, teachers and learners.

Amaranthus retroflexus L. and Chenopodium album L. are noxious weeds that have a cosmopolitan distribution. These species successfully invade and are adapted to a wide variety of diverse climates. In this paper, we evaluated the morphology and biochemistry of 16 populations of A. retroflexus L. and 17 populations of C. album L. Seeds from populations collected from Spain, France, and Iran were grown together at the experimental field of the agriculture research of University of Mohaghegh Ardabili, and a suite of morphological traits and biochemical traits were assessed. Among the populations of A. retroflexus L. and of C. album L. were observed significant differences for all the measured traits. The number of branches (BN) for A. retroflexus L. (12.22) and inflorescence length (FL; 14.34) for C. album L. were the two characteristics that exhibited the maximum coefficient of variation. Principal component analysis of these data identified four principal components for each species that explained 83.54 (A. retroflexus L.) and 88.98 (C. album L.) of the total variation. A dendrogram based on unweighted neighbor-joining method clustered all the A. retroflexus L. and C. album L. into two main clusters and four sub-clusters. Canonical correlation analysis (CCA) was used to evaluate relationships between climate classification of origin and traits. Similarly, the measured characteristics did not group along Köppen climate classification. Both analyses support the conclusion that A. retroflexus L. and C. album L. exhibit high levels of diversity despite similar environmental histories. Both species also exhibit a high diversity of the measured biochemical compounds indicating that they exhibit different metabolic profiles even when grown concurrently and sympatrically. Several of the biochemical constituents identified in our study could serve as effective indices for indirect selection of stresses resistance/tolerance of A. retroflexus L. and C. album L. The diversity of the morphological and biochemical traits observed among these populations illustrates how the unique selection pressures faced by each population can alter the biology of these plants. This understanding provides new insights to how these invasive plant species successfully colonize diverse ecosystems and suggests methods for their management under novel and changing environmental conditions. [ABSTRACT FROM AUTHOR]

Involving the global issues as listed in Sustainable Development Goals (SDGs) in education is necessarily done in the education process, especially in English as a Foreign Language (EFL) learning. Exposure to global issues is known to improve students' understanding, awareness, and ability to solve urgent issues faced by global society. This paper aims to find out the trend of research on the coverage of SDGs in students' learning process. This systematic literature analysis was done by applying Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Method. A total of 25 studies were recognized through a systematic search by using Sustainability, SDGs, and EFL as keywords. The result shows that the trend of associating SDGs with EFL settings was done mostly in Indonesia. In the recent year 2022, it reached the highest number of studies in the particular matter with 7 total of research. It was also found that the study involving SDGs on EFL learning was mostly done in the tertiary setting, compared with K-12, junior high school, secondary, high school, and other educational institutions. It was also discovered that the specific area of study enhances EFL students' learning achievement, environmental awareness, global citizen values, as well as students' levels of self-norms, beliefs, and self-value.

In wastewater treatment plants (WWTPs), the stochastic nature of influent wastewater and operational and weather conditions cause fluctuations in effluent quality. Data-driven models can forecast effluent quality a few hours ahead as a response to the influent characteristics, providing enough time to adjust system operations and avoid undesired consequences. However, existing data for training models are often incomplete and contain missing values. On the other hand, collecting additional data by installing new sensors is costly. The trade-off between using existing incomplete data and collecting costly new data results in three data challenges faced when developing data-driven WWTP effluent forecasters. These challenges are to determine important variables to be measured, the minimum number of required data instances, and the maximum percentage of tolerable missing values that do not impede the development of an accurate model. As these issues are not discussed in previous studies, in this research, for the first time, a comprehensive analysis is done to provide answers to these challenges. Another issue that arises in all data-driven modeling is how to select an appropriate forecasting model. This paper addresses these issues by first testing nine machine learning models on data collected from three wastewater treatment plants located in Iran, Australia, and Spain. The most accurate forecaster, Bayesian network, was then used to address the articulated challenges. Key variables in forecasting effluent characteristics were flow rate, total suspended solids, electrical conductivity, phosphorus compounds, wastewater temperature, and air temperature. A minimum of 250 samples was needed during the model training to achieve a great reduction in the forecasting error. Moreover, a steep increase in the error was observed should the portion of missing values exceed 10%. The results assist plant managers in estimating the necessary data collection effort to obtain an accurate forecaster, contributing to the quality of the effluent. [Display omitted] • Bayesian network is benchmarked against eight AI models to predict wastewater quality. • Bayesian networks can handle missing value in input data due to probabilistic nature. • Key variables in WWTP quality and quantity were specified. • Input data quality has a huge role in successful development of data-driven models. • The prediction error sharply increases when the portion of missing data exceeds 10%. [ABSTRACT FROM AUTHOR]

Microextraction techniques have received significant recognition in the realm of analytical chemistry due to their recognized variety and efficacy in the process of sample preparation and the field of drug analysis, providing efficient and sensitive ways for extracting analytes from complicated matrices. This study has been carefully evaluated and utilizes an extensive bibliometric analysis to examine the patterns of publishing, authorship, citation networks, and clusters within the field of microextraction techniques and drug analysis, utilizing the Scopus database and VOSviewer software. The analysis encompasses the period from 2014 to 2023 and a total of 1321 articles sourced from 157 scholarly journals. The numerous citations that the Journal of Chromatography A's publications have received are proof of its significant contribution to the field of study, with a total publication count of 206 (29%). This highlights the journal's crucial role in the transmission of influential research in this particular domain. A comprehensive analysis of global scholarly contributions highlights China as a prominent participant, responsible for 23% of published publications, with Iran (19%) and Spain (11%) closely trailing behind. The findings of this bibliometric analysis indicate that the advancement of microextraction techniques necessitates collaborative efforts across multiple disciplines, including Chemistry, Biochemistry, and others. These subject areas contribute significantly to the establishment of drug analysis methodologies. This concise and comprehensive examination of research issues, thematic focus, and the discipline's future constitutes a significant intellectual contribution. This research helps academics, practitioners, and policymakers understand the importance of microextraction and drug analysis in analytical chemistry. [ABSTRACT FROM AUTHOR]

This article maps the scientific production and the contents associated with the sustainable development goals and their integration with universities during the past 21 years. Although many of the topics related to sustainable development goals (SDGs) have been addressed in different studies for decades, it is since 2015 onwards that they gained greater prominence due to the inclusion of higher education as an important actor in the fulfillment of the 2030 agenda and the United Nations SDGs. For the purpose of this paper, a bibliometric analysis of 871 papers, 535 documents in Scopus, and 336 in Web of Science (WoS) from 1998 to 2019 was performed, and the Bibliometrix analysis tool was used. The objective of this mapping is to answer the following research question: Is the integration of the Sustainable Development Goals and Universities a field of study? An analysis of the network of collaborators and trend topics in Scopus and WoS allows us to identify the concurrence and relationships of some keywords, such as sustainable development, sustainability and planning, and some background words, such as humans and global health. In another analysis, the word "higher education" is related to change. This article suggests that the integration of the Sustainable Development Goals in Universities is becoming a field of study under exploration, with a peak of production in 2016 and that has remained stable in the last three years, but thanks to the leading role assigned to Universities, intellectual production should increase in the following years.

During the outbreak of a disease caused by a pathogen with unknown characteristics, the uncertainty of its progression parameters can be reduced by devising methods that, based on rational assumptions, exploit available information to provide actionable insights. In this study, performed a few (~6) weeks into the outbreak of COVID-19 (caused by SARS-CoV-2), one of the most important disease parameters, the average time-to-recovery, was calculated using data publicly available on the internet (daily reported cases of confirmed infections, deaths, and recoveries), and fed into an algorithm that matches confirmed cases with deaths and recoveries. Unmatched cases were adjusted based on the matched cases calculation. The mean time-to-recovery, calculated from all globally reported cases, was found to be 18.01 days (SD 3.31 days) for the matched cases and 18.29 days (SD 2.73 days) taking into consideration the adjusted unmatched cases as well. The proposed method used limited data and provided experimental results in the same region as clinical studies published several months later. This indicates that the proposed method, combined with expert knowledge and informed calculated assumptions, could provide a meaningful calculated average time-to-recovery figure, which can be used as an evidence-based estimation to support containment and mitigation policy decisions, even at the very early stages of an outbreak. [ABSTRACT FROM AUTHOR]

Background: Burkitt's lymphoma (BL) has worldwide variations in incidence that are related to the age of Epstein-Barr virus (EBV) infection. This study examined the age-specific incidence rate (ASIR) of BL and community EBV seropositivity in Iraqi Kurdistan and compared results with data from countries tabulated in the International Incidence of Childhood Cancer volume 3 (IICC-3). Methods: The ASIR (95% confidence intervals) of BL in Sulaimani Governorate of Iraqi Kurdistan were calculated for the years 2010–2020. Specimens from 515 outpatients were tested for IgG and IgM antibodies to EBV viral capsid antigen. Results: In Sulaimani, 84% of BL occurred under 20 years of age, with an ASIR of 6.2 (4.7–7.7) per million children. This ASIR was not significantly different than that of Egypt, Morocco, Israel, Spain, or France. It was slightly higher than the ASIR of the United States, the United Kingdom, and Germany and markedly higher than for Asia and South Africa. In Africa and much of Asia, early childhood EBV exposure predominates, with nearly all children being infected by 5 years of age. In Sulaimani, just over 50% of children were EBV seropositive at 3 years old and 90% seropositivity was reached at 15 years of age. In Europe and North America, seropositivity is commonly delayed until adolescence or young adulthood and adult predominates over childhood BL. Conclusion: In the Middle East, childhood BL is relatively common and adult BL is rare. In Sulaimani, EBV seropositivity increases progressively throughout childhood and reaches 92% at mid-adolescence. This may reflect the Mid East more widely. We suggest that the high childhood and low adult BL rates may be a regional effect of a pattern of EBV exposure intermediate between early childhood and adolescent and young adult infections. [ABSTRACT FROM AUTHOR]

The alveolinids were once highly widespread in the Cenomanian of the Tethys Basin. Even though evolutionary studies have, thus far, been conducted using material from many countries e.g. Spain, Oman, and the UAE, the Zagros region in SW Iran has not been studied yet. Two sections of the Sarvak Formation in the Pyun and Kuh‐e‐Zana areas were investigated. Five type levels can be identified in the Pyun section. The evolutionary trend begins with praealveolinids followed by ovalveolinids in the Early Cenomanian. Cisalveolinids firstly appear in the Late Cenomanian strata and then Multispirina is derived. Then Simplalveolina simplex appears, which is derived from Multispirina iranensis. At the Kuh‐e Zana section, the evolutionary trend was observed in three levels. There is no ideal evolutionary trend because Multispirina and Simplalveolina are absent in this section. The identified trends are similar to those of the Iberian Ranges in Spain. [ABSTRACT FROM AUTHOR]

The purpose of the present cross-cultural study was to explore the relationships of second and foreign language teachers’ and students’ attitudes towards Computer-Assisted Language Learning (CALL) in terms of their gender, age group, and educational level in two countries, Spain and Iran. The study was based on a sample of 318 language teachers and 307 language students in Iran and Spain. Data collection was carried out through two online questionnaires (108 items) for both teachers and students. To make a sound decision, the researchers decided to utilize the Delphi methodology, which was originally established in order to diagnose the beneficiary of technologies. In the data analysis phase, descriptive, t test and one-way ANOVA analyses were performed to find the answers of the research questions. The findings of the study revealed that there is no difference between the attitudes of Iranian and Spanish towards CALL in terms of gender, age and educational matter. Finally, pedagogical implications and recommendations for further research are presented. [ABSTRACT FROM AUTHOR]

Background: Over the past few decades, higher education institutions worldwide have experienced substantial changes, including: massification, internationalisation and increasing demands for exceptional instructional quality and research quantity in environments that have also seen heightened competition for students, faculty and resources. Accordingly, these changes have contributed to a highly demanding academic employment climate that pose challenges for personal and professional development in post-secondary faculty (i.e. university or college research and teaching academics), as well as potential negative impacts on student learning and, ultimately, institutional productivity. Purpose: Given the emergent nature of scattered existing research on faculty burnout, the present paper attempts to synthesise and critically examine published empirical findings concerning the various correlates, antecedents and outcomes of faculty burnout as informed by the Job Demands-Resources model (Demerouti et al. 2001). Design and method: Existing empirical research on faculty burnout was identified through a rigorous search of English language, peer-reviewed articles across relevant databases (e.g. ERIC, Psycinfo, Scopus) resulting in 36 quantitative, cross-sectional studies, satisfying detailed a priori inclusion criteria. Results: The review revealed multiple themes across studies with respect to mixed effects of demographic background factors on burnout levels, as well as clear detrimental effects of adverse job demands (e.g. workload, task characteristics, value conflict) and lack of resources (e.g. social support, rewards, control) on faculty burnout. Additionally, both personal characteristics (e.g. motivation, optimism) and stressors outside the workplace (e.g. family stressors and lack of support) were found to contribute significantly to faculty burnout, with greater burnout, in turn, having consistent adverse consequences for performance and commitment (e.g. reduced work activities, turnover intentions) as well as psychological and physical health (e.g. ill health, depression) in faculty. Conclusions: The findings presented underscore the importance of faculty burnout and the challenges it presents in terms of faculty well-being as well as student development and institutional performance. Findings also provide further insight into the ways in which intervention efforts and resources targeting faculty burnout may prove effective.