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This article examines the language ideologies undergirding university English language admission requirements. Universities are today caught between the order of the nation state and that of corporate globalization as they seek to attract both national and international students. This tension produces conflicting processes of (converse) racialization and linguistic (un)marking within which universities construct language proficiencies and ethnonational identities. Our study finds two categorically different constructs of English language proficiency (ELP): inherent ELP based on citizenship, linguistic heritage, and prior education, and tested ELP. These two constructs of ELP map onto two dichotomous student groups. One side of this binary—the white native-speaker citizen construct—is subject to converse racialization and unmarking. While it becomes blurred, it casts its Other into clear relief: the Asian non-native speaker non-citizen. The research has implications for critical language testing and language policies in higher education. (Citizenship, English as a global academic language, internationalization of higher education, international students, language ideologies, language testing, native speakerism, racialization, World Englishes)

In recent years, the application of artificial neural network models has become increasingly widespread in the automotive industry; however, the sensitivity analysis of these models is often neglected. This shortfall poses significant risks in safety-critical applications, where the reliability of models under varying conditions is of critical importance. This study focuses on the sensitivity analysis of a long short-term memory neural network model, previously published by us, designed to predict the future yaw rates of vehicles. Our research aimed to determine the minimum amount of data required for effective model training and to conduct a comprehensive sensitivity analysis, examining the performance and applicability of the trained model under varying tire pressures, different passenger loads, and different passenger configurations. Additionally, we investigated whether the trained model could be applied to other vehicle types. Our results indicated that the vehicle weight distribution was the most influential factor affecting the accuracy of the model. Nonetheless, the model’s predictive error remained consistently within the safety thresholds defined by the standards under all tested conditions. Our experiments and analyses were performed using over 7.5 h of data collected under real-world conditions, which will be freely available to the research community.

Examining possible psychosocial maladjustments should be an integral part of fertility care. For the early detection of vulnerability, the present study aimed to adapt and test the reliability and validity of the Hungarian version of SCREENIVF against the Fertility Quality of Life Questionnaire (FertiQoL) in a cross-sectional on subfertile women (n = 60, age 34.6 ± 5.2 years, BMI 24.2 ± 4.9 kg/m2) at a university linked fertility clinic in South-Hungary. A confirmatory factor analysis (CFA) was conducted to investigate the construct validity. For the reliability testing, Cronbach alpha values were calculated. Spearman’s rank correlation tested the criterion validity. Discriminant validity was applied using Mann–Whitney U-test and Kruskal–Wallis test. The Edinburgh Framework and COSMIN checklist were applicable for the analysis using SPSS 27.0; significance was set at p < 0.05. The confirmatory factor analysis indicated a good fit; all dimensions were reliable (α ≥ 0.70). Cronbach’s alpha was excellent (0.825–0.904). Strong correlations were found between the total scale (FertiQoL) and anxiety (R = −0.507, p < 0.001), depression (R = 0.554, p < 0.001), and helplessness cognitions (R = −0.747, p < 0.001) and moderate or no correlation with acceptance cognitions (R = 0.317, p = 0.015) and social support (R = 0.230, p = 0.082). The Hungarian version of SCREENIVF proved a valid and reliable tool to measure psychological maladjustment before ART. A longitudinal, randomized, controlled trial involving the partners could further strengthen the results, which is among our long-term plans.

Background This observational clinical study evaluated the expression levels and predictive values of some apoptosis-related genes in granulosa cells (GCs) and follicular fluid (FF) of women undergoing in vitro fertilization (IVF). Methods GCs and FF were obtained at oocyte retrieval from 31 consecutive patients with heterogeneous infertility diagnosis (age: 34.3 ± 5.8 years, body mass index: 24.02 ± 3.12 kg/m2, duration of infertility: 4.2 ± 2.1 years). mRNA expression of pro-apoptotic (BAX, CASP3, CASP8) and anti-apoptotic (BCL2, AMH, AMHR, FSHR, LHR, CYP19A1) factors was determined by quantitative RT-PCR using ROCHE LightCycler 480. Results No significant difference in GC or FF mRNA expression of pro- and anti-apoptotic factors could be demonstrated between IVF patients with (9 patients) or without (22 patients) clinical pregnancy. Each transcript investigated was detected in FF, but their levels were markedly reduced and independent of those in GCs. The number of retrieved oocytes was positively associated with GC AMHR ( r  = 0.393, p  = 0.029), but the day of embryo transfer was negatively associated with GC LHR ( r  = − 0.414, p  = 0.020) and GC FSHR transcripts ( r  = − 0.535, p  = 0.002). When pregnancy positive group was analysed separately the impact of apoptosis- related gene expressions on some selected measures of IVF success could be observed. Strong positive relationship was found between gene expression levels of pro- and anti-apoptotic factors in GCs. Conclusion Our study provides only marginal evidences for the apoptosis dependence of IVF outcome and suggests that the apoptosis process induces adaptive increases of the anti-apoptotic gene expression to attenuate apoptosis and to protect cell survival.

IntroductionHaemorheological and haemostatic changes predispose to the development of arterial and venous thrombotic events; however, limited information is available on the status of these changes in coeliac disease (CeD) and inflammatory bowel disease (IBD). In this study, we aim to describe the haemorheological and haemostatic profiles of CeD and IBD patients in a Hungarian cohort of patients to investigate whether any alterations contribute to elevated thrombotic risk.Methods and analysisThis is a case–control study involving newly diagnosed and followed CeD and IBD patients with age-matched and sex-matched non-CeD, non-IBD subjects with an allocation ratio of 1:1:1.After informed consent is obtained, a detailed medical history will be collected, including venous and arterial thrombotic risk factors and medications. Symptoms in CeD patients will be assessed with the Gastrointestinal Symptoms Rating Scale, and disease activity in IBD patients will be determined by disease-specific scores. Dietary adherence will be assessed among CeD patients with a thorough interview together with a measurement of self-reported adherence, dietary knowledge and urine analysis (detection of gluten immunogenic peptides). In addition to routine laboratory parameters, haemorheological (ie, erythrocyte deformability and aggregation, viscosity of whole blood and plasma) and haemostatic parameters (eg, protein C, protein S and antithrombin) with immunological indicators (ie, coeliac-specific serology and antiphospholipid antibodies) will be measured from venous blood for every participant.Primary and secondary outcomes will be haemorheological and haemostatic parameters, respectively. Univariate and multivariate statistics will be used to compare CeD and IBD patients to control subjects. Subgroup analysis will be performed by disease type in IBD, (Crohn’s disease and ulcerose colitis), dietary adherence in CeD, and disease activity in IBD and CeD.Ethics and disseminationThe study was approved by the Regional and Local Research Ethics Committee, University of Pécs (Ref. No. 6917). Findings will be disseminated at research conferences and in peer-reviewed journals.Trial registration number ISRCTN49677481.