40 research outputs found

    Validation of Lexical Frequency Profiles As a Measure of Lexical Richness in Written Discourse

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    Technological developments and their utilities in various areas including education have offered great advantages for man. One of the greatest achievements in this trend has been the innovation in computer software like Lexical Frequency Profiles (LFP) and its pedagogical implications either in teaching or measurement. To take the maximum advantages, this study seeks to validate the LFP as a measure of lexical richness in written discourse of Iranian EFL Learners. 50 students majoring in English Translation participated in this study; each of them was encouraged to develop two compositions on general topics in order to establish VocabProfile indexes. To estimate the reliability of the LFP, the VocabProfile indexes of two writings were correlated, but for the validity purpose, first, a productive version of Vocabulary Levels Test (VLT) was administered and second, the students’ compositions were fed into P_Lex software to elicit P_Lex index. After that, VocabProfile indexes were correlated with VLT scores and P_Lex index separately. The findings of the study revealed that students’ VocabProfile indexes written on two different topics correlated significantly with each other. Because of such a significant correlation coefficients, and the LFP indexes are related to VLT active test and P_Lex index, it is conservatively safe to claim that VocabProfile indexes are to some extent reliable and valid measurement instruments but not strong enough to be used as a stand- alone measure for the assessment of lexical richness. Pedagogically speaking, the LPF is suggested as a relatively reliable and valid measure to be used along with other dependable devices in measuring lexical richness in discourses of various types

    Prevalence of needlestick and sharps injuries in the healthcare workers of Iranian hospitals: An updated meta-analysis

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    Background: Needlestick and sharps injuries (NSIs) are critical occupational risk among health care workers (HCWs), which is extremely worrying due to the potential risk of transmitting bloodborn pathogens (BBPs). This study was carried out to evaluate the prevalence of NSIs among Iranian HCWs. Methods: In this systematic review and meta-analysis, the key terms percu*injur*, needle*stick injur*, needlestick*injur*, or sharp*injur*were searched in the Scientific Information Database (SID), MagIran, IranMedex, Google Scholar, Science Direct, PubMed, and Scopus. A prefabricated checklist, including variables: first author, publication year, study population, sample size, gender, total prevalence of needlestick in each gender, type of questionnaire, region, and type of hospitals, was used to extract data from the selected articles included which were published between 2003 and 2016. Results: The analysis showed that the prevalence of NSIs in the Iranian HCWs was 42.5 (95 CI 37-48). Moreover, the prevalence of NSIs was more in women (47; 95 CI 36-58) compared to men (42; 95 CI 26-58). Conclusion: Given the high prevalence of NSIs, it is necessary to supply safe needles and instruments, hold training programs focused on new methods of using sharp objects safely, observe safety principles and standards, reinforce the practical skills of personnel, and pay more attention to reporting and improving occupational behaviors like avoiding needle recapping in order to reduce the prevalence of NSIs and consequently reduce potential risk of transmission of BBPs. © 2018 The Author(s)

    A survey of current practices by the British Oculoplastic Surgery Society (BOPSS) and recommendations for delivering a sustainable multidisciplinary approach to thyroid eye disease in the United Kingdom

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    The Royal College of Physicians (RCP) and Thyroid Eye Disease Amsterdam Declaration Implementation Group (TEAMeD-5) have the common goal of improving access to high quality care for thyroid eye disease (TED). The TEAMeD-5 programme recommends all patients with moderate-to-severe TED should have access to multidisciplinary clinics (MDT) with combined Ophthalmology and Endocrinology expertise

    MEMOTE for standardized genome-scale metabolic model testing

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    Supplementary information is available for this paper at https://doi.org/10.1038/s41587-020-0446-yReconstructing metabolic reaction networks enables the development of testable hypotheses of an organisms metabolism under different conditions1. State-of-the-art genome-scale metabolic models (GEMs) can include thousands of metabolites and reactions that are assigned to subcellular locations. Geneproteinreaction (GPR) rules and annotations using database information can add meta-information to GEMs. GEMs with metadata can be built using standard reconstruction protocols2, and guidelines have been put in place for tracking provenance and enabling interoperability, but a standardized means of quality control for GEMs is lacking3. Here we report a community effort to develop a test suite named MEMOTE (for metabolic model tests) to assess GEM quality.We acknowledge D. Dannaher and A. Lopez for their supporting work on the Angular parts of MEMOTE; resources and support from the DTU Computing Center; J. Cardoso, S. Gudmundsson, K. Jensen and D. Lappa for their feedback on conceptual details; and P. D. Karp and I. Thiele for critically reviewing the manuscript. We thank J. Daniel, T. Kristjánsdóttir, J. Saez-Saez, S. Sulheim, and P. Tubergen for being early adopters of MEMOTE and for providing written testimonials. J.O.V. received the Research Council of Norway grants 244164 (GenoSysFat), 248792 (DigiSal) and 248810 (Digital Life Norway); M.Z. received the Research Council of Norway grant 244164 (GenoSysFat); C.L. received funding from the Innovation Fund Denmark (project “Environmentally Friendly Protein Production (EFPro2)”); C.L., A.K., N. S., M.B., M.A., D.M., P.M, B.J.S., P.V., K.R.P. and M.H. received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement 686070 (DD-DeCaF); B.G.O., F.T.B. and A.D. acknowledge funding from the US National Institutes of Health (NIH, grant number 2R01GM070923-13); A.D. was supported by infrastructural funding from the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), Cluster of Excellence EXC 2124 Controlling Microbes to Fight Infections; N.E.L. received funding from NIGMS R35 GM119850, Novo Nordisk Foundation NNF10CC1016517 and the Keck Foundation; A.R. received a Lilly Innovation Fellowship Award; B.G.-J. and J. Nogales received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no 686585 for the project LIAR, and the Spanish Ministry of Economy and Competitivity through the RobDcode grant (BIO2014-59528-JIN); L.M.B. has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement 633962 for project P4SB; R.F. received funding from the US Department of Energy, Offices of Advanced Scientific Computing Research and the Biological and Environmental Research as part of the Scientific Discovery Through Advanced Computing program, grant DE-SC0010429; A.M., C.Z., S.L. and J. Nielsen received funding from The Knut and Alice Wallenberg Foundation, Advanced Computing program, grant #DE-SC0010429; S.K.’s work was in part supported by the German Federal Ministry of Education and Research (de.NBI partner project “ModSim” (FKZ: 031L104B)); E.K. and J.A.H.W. were supported by the German Federal Ministry of Education and Research (project “SysToxChip”, FKZ 031A303A); M.K. is supported by the Federal Ministry of Education and Research (BMBF, Germany) within the research network Systems Medicine of the Liver (LiSyM, grant number 031L0054); J.A.P. and G.L.M. acknowledge funding from US National Institutes of Health (T32-LM012416, R01-AT010253, R01-GM108501) and the Wagner Foundation; G.L.M. acknowledges funding from a Grand Challenges Exploration Phase I grant (OPP1211869) from the Bill & Melinda Gates Foundation; H.H. and R.S.M.S. received funding from the Biotechnology and Biological Sciences Research Council MultiMod (BB/N019482/1); H.U.K. and S.Y.L. received funding from the Technology Development Program to Solve Climate Changes on Systems Metabolic Engineering for Biorefineries (grants NRF-2012M1A2A2026556 and NRF-2012M1A2A2026557) from the Ministry of Science and ICT through the National Research Foundation (NRF) of Korea; H.U.K. received funding from the Bio & Medical Technology Development Program of the NRF, the Ministry of Science and ICT (NRF-2018M3A9H3020459); P.B., B.J.S., Z.K., B.O.P., C.L., M.B., N.S., M.H. and A.F. received funding through Novo Nordisk Foundation through the Center for Biosustainability at the Technical University of Denmark (NNF10CC1016517); D.-Y.L. received funding from the Next-Generation BioGreen 21 Program (SSAC, PJ01334605), Rural Development Administration, Republic of Korea; G.F. was supported by the RobustYeast within ERA net project via SystemsX.ch; V.H. received funding from the ETH Domain and Swiss National Science Foundation; M.P. acknowledges Oxford Brookes University; J.C.X. received support via European Research Council (666053) to W.F. Martin; B.E.E. acknowledges funding through the CSIRO-UQ Synthetic Biology Alliance; C.D. is supported by a Washington Research Foundation Distinguished Investigator Award. I.N. received funding from National Institutes of Health (NIH)/National Institute of General Medical Sciences (NIGMS) (grant P20GM125503).info:eu-repo/semantics/publishedVersio

    Publisher Correction: MEMOTE for standardized genome-scale metabolic model testing

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    An amendment to this paper has been published and can be accessed via a link at the top of the paper.(undefined)info:eu-repo/semantics/publishedVersio

    Retinoic acid controls the homeostasis of pre-cDC–derived splenic and intestinal dendritic cells

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    Dendritic cells (DCs) comprise distinct populations with specialized immune-regulatory functions. However, the environmental factors that determine the differentiation of these subsets remain poorly defined. Here, we report that retinoic acid (RA), a vitamin A derivative, controls the homeostasis of pre-DC (precursor of DC)–derived splenic CD11b(+)CD8α(−)Esam(high) DCs and the developmentally related CD11b(+)CD103(+) subset within the gut. Whereas mice deprived of RA signaling significantly lost both of these populations, neither pre-DC–derived CD11b(−)CD8α(+) and CD11b(−)CD103(+) nor monocyte-derived CD11b(+)CD8α(−)Esam(low) or CD11b(+)CD103(−) DC populations were deficient. In fate-tracking experiments, transfer of pre-DCs into RA-supplemented hosts resulted in near complete conversion of these cells into the CD11b(+)CD8α(−) subset, whereas transfer into vitamin A–deficient (VAD) hosts caused diversion to the CD11b(−)CD8α(+) lineage. As vitamin A is an essential nutrient, we evaluated retinoid levels in mice and humans after radiation-induced mucosal injury and found this conditioning led to an acute VAD state. Consequently, radiation led to a selective loss of both RA-dependent DC subsets and impaired class II–restricted auto and antitumor immunity that could be rescued by supplemental RA. These findings establish a critical role for RA in regulating the homeostasis of pre-DC–derived DC subsets and have implications for the management of patients with immune deficiencies resulting from malnutrition and irradiation

    The Relationship Between Depression and Metabolic Syndrome: Systematic Review and Meta-Analysis Study

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    Context: Several studies have been conducted on the relationship between depression and metabolic syndrome, which have had conflicting results. The purpose of this study was a meta-analysis of studies that have examined the relationship between these two variables. Evidence Acquisition: This meta-analysis systematically reviewed the relationship between depression and metabolic syndrome. Scientific databases including IranMedex, SID, Magiran, Scopus, PubMed, Google Scholar, and Science Direct were searched and 17 articles were extracted from 2000 to 2014. Selected studies data were analyzed using meta-analysis and random effects model. Heterogeneity between the studies was examined using I2. Data were analyzed using STATA software version 12.1. Results: Seventeen studies were analyzed with a sample size of 31880 people. Analysis by the type of studies showed that the relationship between the two variables in cross-sectional studies (OR = 1.51, CI 95 = 1.36-1.68) and cohort studies (OR = 1.6, CI 95 = 1.23 -2.08) was significant. In general, the heterogeneity test results among the studies was not significant (P for heterogeneity = 0.08, I-2 = 39.8). Conclusions: There is a relationship between depression and metabolic syndrome

    The Prevalence of Job Stress among Nurses in Iran: A Meta-Analysis Study

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    Background: Many nurses experience job stress in their workplace. Given the wide range of differences in the statistics about job stress among nurses, the question that arises is what is the general prevalence of job stress among Iranian nurses? Objective: The present study aimed to evaluate the prevalence of job stress among Iranian nurses through meta-analysis. Persian and English databases including SID, MagIran, IranMedex, Google Scholar, Sciencedirect, and PubMed were searched by using the keywords such as "job stress, occupational stress, work-related stress, job related stress" and their combinations and 30 articles were finally selected. All the observational research articles that had information regarding the prevalence of job-related stress, sample size, and job stress instruments were entered into the meta-analysis. The form used to extract information included variables such as the first author's name, publication year, the place where the study had been carried out, type of the study, sample size, data collection instruments, and the most important findings. Results: The general prevalence of job stress was estimated to be 69 (confidence interval CI 95%: 0.58-0.79) based on the report of 30 papers with sample size of 4630. By region, type of hospital and the type of study, the highest prevalence of nurses' job stress was 90% (CI 95%: 0.85-0.96) in region one (Provinces of Alborz, Tehran, Qazvin, Mazandaran, Semnan, Golestan, and Qom), 70% (CI 95%: 0.60-0.80) in public and private hospitals, and 79% (CI 95%: 0.58-1.01) in studies where the type of study had not been mentioned. Conclusion: Given the high prevalence of job stress among nurses, developing programs to reduce nurses' job-related stress seems to be essential
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