bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mémoire, genre et activisme
Authors: Silva de Sousa Igor Thiago , Rousseau Déus Frantz 
Published: December 2024

Résumé
Cet article analyse les luttes menées par des casseuses de noix de babassu pour leurs territoires dans l’État de Maranhão, au Brésil. L’analyse est basée sur les réflexions de deux femmes noires casseuses de noix de babassu et sur les témoignages de Maria do Rosário et Rosalva Gomes. Il est possible de problématiser les processus d’organisation des luttes collectives des casseuses de babassu du Maranhão et la manière dont ces femmes ont résisté à la violence, à la fois sur les plans personnel et communautaire.
‘Shut up and Resign’: a Contrastive Investigation of Gender-Based Online Aggression on Twitter in Spanish vs. Greek
Authors: Vladimirou Dimitra , Fernández-Amaya Lucía 
Published: December 2024

Abstract
Violence against Women in Politics has emerged as an interdisciplinary field of research of global relevance (Esposito and Zollo 2021). The present paper aims to contribute to this field, adopting a linguistically-anchored, doubly contrastive angle to the study of gender-based online aggression. Borrowing our conceptual tools from feminist pragmatics (Christie, 2000), language aggression and impoliteness research (Bou-Franch, 2014; Bou-Franch and Garcés-Conejos Blitvitch, 2014; Culpeper, 2011) and inspired by insights from Social Media Critical Discourse Studies (SM-CDS) (KhosraviNik and Esposito, 2018), we explore how Spanish-speaking and Greek-speaking Twitter users target two female politicians positioned at opposite ends of the political spectrum: the Spanish left-wing former MP, Irene Montero and the Greek right-wing MP, Niki Kerameus. The results reveal that, despite the opposing social values and ideological positionings reflected in the tweets examined, misogynistic abuse anchored in sexist representations of women emerges as a salient shared strategy in both Spanish-speaking and Greek-speaking datasets.
A Newly Discovered Binding Fragment of Talmud Yerushalmi Shevuot (Vat. ebr. 726, f. 6r–v)
Authors: Katz Menachem , Golinkin David 
Published: December 2024

Abstract
The current contribution is aimed at publishing a Talmudic fragment that was discovered in strips in a repository of scattered fragmentary materials located in the Vatican Library’s Restoration Workshop in May 2023. The fragment once belonged to a late twelfth century Ashkenazi testimony of the Talmud Yerushalmi. While the Babylonian Talmud has been preserved in 68 manuscripts and thousands of fragments from the Cairo Genizah and the European Genizah, the Talmud Yerushalmi has only been preserved in one complete Italian manuscript from 1289 (Leiden Or. 4720), two partial manuscripts (Vat. ebr. 133 and Escorial G 1.3.1), along with 61 Cairo Genizah fragments and 18 European Genizah fragments. Therefore, every newly discovered fragment of the TY is of particular importance.
DNEA: an R package for fast and versatile data-driven network analysis of metabolomics data
Authors: Patsalis Christopher , Iyer Gayatri , Brandenburg Marci , Karnovsky Alla , Michailidis George 
Published: December 2024

Abstract
Background
Metabolomics is a high-throughput technology that measures small molecule metabolites in cells, tissues or biofluids. Analysis of metabolomics data is a multi-step process that involves data processing, quality control and normalization, followed by statistical and bioinformatics analysis. The latter step often involves pathway analysis to aid biological interpretation of the data. This approach is limited to endogenous metabolites that can be readily mapped to metabolic pathways. An alternative to pathway analysis that can be used for any classes of metabolites, including unknown compounds that are ubiquitous in untargeted metabolomics data, involves defining metabolite-metabolite interactions using experimental data. Our group has developed several network-based methods that use partial correlations of experimentally determined metabolite measurements. These were implemented in CorrelationCalculator and Filigree, two software tools for the analysis of metabolomics data we developed previously. The latter tool implements the Differential Network Enrichment Analysis (DNEA) algorithm. This analysis is useful for building differential networks from metabolomics data containing two experimental groups and identifying differentially enriched metabolic modules. While Filigree is a user-friendly tool, it has certain limitations when used for the analysis of large-scale metabolomics datasets.

Results
We developed the DNEA R package for the data-driven network analysis of metabolomics data. We present the DNEA workflow and functionality, algorithm enhancements implemented with respect to the package’s predecessor, Filigree, and discuss best practices for analyses. We tested the performance of the DNEA R package and illustrated its features using publicly available metabolomics data from the environmental determinants of diabetes in the young. To our knowledge, this package is the only publicly available tool designed for the construction of biological networks and subsequent enrichment testing for datasets containing exogenous, secondary, and unknown compounds. This greatly expands the scope of traditional enrichment analysis tools that can be used to analyze a relatively small set of well-annotated metabolites.

Conclusions
The DNEA R package is a more flexible and powerful implementation of our previously published software tool, Filigree. The modular structure of the package, along with the parallel processing framework built into the most computationally extensive steps of the algorithm, make it a powerful tool for the analysis of large and complex metabolomics datasets.
A brief effective screening protocol for identifying cataract patients with binocular vision anomalies
Authors: Tan Qing-Qing , Tan Jia-Hao , Luo Chang-Kang , Lai Chun-Yan , Zhao Wei , Lan Chang-Jun , Lewis James , Aljohani Saeed , Liao Xuan , Scheiman Mitchell 
Published: December 2024

Abstract
Background
To compare the effectiveness of a brief binocular vision screening protocol to a comprehensive examination for detecting binocular vision anomalies before and after cataract surgery.

Methods
A comprehensive binocular vision test battery as a gold standard were administered on recruited patients before the first surgery and at the third visit after surgery on the second eye. A receiver operating characteristic (ROC) curve was plotted to illustrate the diagnostic ability of each test. In addition, a univariate logistic regression analysis was performed to further determine the contribution of each preoperative test to the prediction of pre- and post-surgical binocular vision anomalies.

Results
Significant differences were shown for the difference in phoria from distance to near measured by the cover test (Area Under Curve [AUC] = 0.96, P < 0.01), step vergence testing of positive fusional vergence at distance (AUC = 0.71, P < 0.01) and near (AUC = 0.77, P < 0.01). The other tests did not show statistically significant differences. The ROC curve generated by combining the difference in distance and near phoria with positive fusional vergence at both distance and near demonstrated a more robust measure of diagnostic accuracy. (AUC = 0.98, P < 0.01).

Conclusion
Distance and near phoria difference measured by cover test has similar effectiveness as a comprehensive binocular vision testing protocol for the diagnosis of binocular vision anomalies. Distance and near positive fusional vergence measured by step vergence testing also have significant predictive value. A combination of the two tests is an outstanding screening protocol for binocular vision anomalies before cataract surgery.

Trial registration
The study was registered at ClinicalTrials.gov (NCT03592615, Date of registration: July 19, 2018).
Effect of antipsychotic on mismatch negativity amplitude and evoked theta power in drug-naïve patients with schizophrenia
Authors: Xiong Yan-Bing , Bo Qi-Jing , Li Xian-Bin , Liu Yi , Guo Qi-Bo , Wang Chuan-Yue 
Published: December 2024

Abstract
Background
Recurrent observations have indicated the presence of deficits in mismatch negativity (MMN) among schizophrenia. There is evidence suggesting a correlation between increased dopaminergic activity and reduced MMN amplitude, but there is no consensus on whether antipsychotic medications can improve MMN deficit in schizophrenia.

Methods
We conducted clinical assessments, cognitive function tests, and EEG data collection and analysis on 31 drug-naïve patients with schizophrenia. Comprehensive evaluation tools such as PANSS and MCCB. MMN amplitude was analyzed by event-related potential (ERP) approaches, evoked theta power was analyzed by event-related spectral perturbation (ERSP) approaches.

Results
Our findings indicate that antipsychotic treatment significantly improved clinical symptoms, as evidenced by reductions in PANSS positive, negative, general symptoms, and total scores (all p < 0.001). Cognitive function improvements were observed in language learning, working memory, and overall MCCB scores (p < 0.05), although other cognitive domains showed no significant changes. However, no significant improvements were noted in MMN amplitude and evoke theta power after four weeks of antipsychotic treatment (p > 0.05).

Conclusion
These results suggest that while antipsychotic medications effectively alleviate clinical symptoms, their impact on MMN amplitude and evoke theta power deficit is limited in the short term. Moreover, the amelioration of cognitive impairment in individuals with schizophrenia is not readily discernible, and it cannot be discounted that the enhancement observed in language acquisition and working memory may be attributed to a learning effect. These findings underscore the complexity of the neurobiological mechanisms involved and highlight the need for further research to optimize individualized treatment strategies for schizophrenia.

Trial Registration
ChiCTR2000038961, October 10, 2020.
Psychological therapy for the prevention of suicide in prison: study protocol for a randomised controlled trial
Authors: Pratt Daniel , Kirkpatrick Tim , Awenat Yvonne , Hendricks Caroline , Perry Amanda , Carter Leslie-Anne , Crook Rebecca , Duxbury Paula , Lennox Charlotte , Knowles Sarah , Brooks Helen , Davies Linda , Shields Gemma , Honeywell David , Appleby Louis , Gooding Patricia , Edge Dawn , Emsley Richard , Shaw Jenny , Haddock Gillian 
Published: December 2024

Abstract
Background
Suicide is the leading cause of preventable death in prisons. Deaths from suicide in prison are significantly, and persistently, elevated compared to those living in the community. Psychological therapies have been shown to be a potentially effective means of alleviating suicidal thoughts, plans and behaviours, but patients located in prison often have no access to evidence-based psychological interventions targeting suicide. The objectives of this programme of research are to investigate the clinical and cost effectiveness of a new psychological therapy programme delivered to male prisoners at risk of suicide.

Methods
The PROSPECT trial is a two-armed single blind, pragmatic, randomised controlled trial and will recruit a target sample size of 360 male prisoners, identified as at-risk of suicide, across 4 prisons in the North of England. Participants will be randomised to receive a psychological talking therapy (Cognitive Behavioural Suicide Prevention, CBSP) plus treatment as usual, or treatment as usual alone. Co-primary outcomes (Suicide Ideation and Suicide Behaviours), as well as related secondary outcomes, will be assessed at baseline and at 6-months follow-up. An intention to treat analysis will be conducted with primary stratification based on prison site and lifetime history of suicide attempt (yes/no). A nested qualitative process evaluation will investigate the nature and context in which the intervention is delivered, with specific focus upon the facilitators and barriers to the implementation of the therapy within prisons.

Discussion
The key outputs from this trial will be to determine whether a psychological therapy for suicidal prisoners is clinically and cost effective; and to generate a project implementation platform that identifies how best to implement the new intervention across the broader prison estate.

Trial registration
ISRCTN (reference ISRCTN14056534 https://www.isrctn.com/ISRCTN14056534; 24th September 2021). Registration confirmed prior to participant recruitment commencing. Modifications to protocol are listed on the study website at ISRCTN.
Efficacy and safety of a non-immersive virtual reality-based neuropsychological intervention for cognitive stimulation and relaxation in patients with critical illness: study protocol of a randomized clinical trial (RGS-ICU)
Authors: Godoy-González Marta , López-Aguilar Josefina , Fernández-Gonzalo Sol , Gomà Gemma , Blanch Lluís , Brandi Santiago , Ramírez Sergi , Blasi Joel , Verschure Paul , Rialp Gemma , Roca Miquel , Gili Margalida , Jodar Mercè , Navarra-Ventura Guillem 
Published: December 2024

Abstract
Background
Experiencing a critical illness may be a stressful life event that is also associated with cognitive dysfunction during and after the intensive care unit (ICU) stay. A deep-tech solution based on non-immersive virtual reality, gamification and motion capture called Rehabilitation Gaming System for Intensive Care Units (RGS-ICU) has been developed that includes both cognitive stimulation and relaxation protocols specifically designed for patients with critical illness. This study aims to evaluate whether the cognitive and relaxation protocols of the RGS-ICU platform are 1) effective in improving neuropsychological outcomes during and after ICU stay and 2) safe for patients with critical illness.

Methods
This is a study protocol for a multicenter longitudinal randomized clinical trial. At least 80 patients with critical illness will be included: 40 experimental subjects and 40 control subjects. Patients in the experimental group will receive daily 20-min sessions of cognitive stimulation and relaxation with the RGS-ICU platform adjuvant to standard ICU care in their own rooms during the ICU stay and until discharge from the ICU or up to a maximum of 28 days after randomization, provided they are alert and calm. Patients in the experimental group will be constantly monitored as part of standard ICU care to ensure the safety of the intervention and that no avoidable adverse events occur. Patients in the control group will receive standard ICU care. The primary outcome is objective cognition 12 months after ICU discharge, assessed with a composite index including measures of attention, working memory, learning/memory, executive function and processing speed. The secondary outcome is the safety of the intervention, assessed by considering the number of sessions terminated early due to unsafe events in physiological parameters. Other outcomes are comfort experienced during the ICU stay, and subjective cognition, mental health (anxiety, depression and post-traumatic stress disorder), functionality and health-related quality of life 12 months after ICU discharge.

Discussion
The expected results are 1) better neuropsychological outcomes during and after the ICU stay in patients in the experimental group compared to patients in the control group and 2) that the cognitive and relaxation protocols of the RGS-ICU platform are safe for patients with critical illness.

Trial registration
Clinicaltrials.gov NCT06267911. Registered on February 20, 2024.
Investigating stress, anxiety, and coping strategies among higher education students in extreme contexts: insights from Romania during the COVID-19 pandemic
Authors: Simionescu Mihaela , Mahmoud Ali B. , Strielkowski Wadim , Jula Nicolae-Marius 
Published: December 2024

Abstract
Background
Using the perspective of the recent COVID-19 pandemic, which represents a public health challenge that also affects education and the psychological well-being of students, this paper aims to assess the vulnerability to anxiety and stress of the Romanian students from the Faculty of Administration and Business of the University of Bucharest pursuing their degrees in administration and business.

Methods
Our study is based on the results of the survey that was administered to a sample of 422 students (39.6% females and 60.4% males) selected from the pool of 2000 recruited respondents. We employed the ANOVA/linear Dependent Dirichlet Process mixture model to explain the causes of stress and anxiety after various grouping variables represented by gender, specialisation, as well as labour market status.

Results
Our results revealed that more than 80% of the students in the sample yielded medium and high vulnerability to stress, while 64% of the respondents were affected by severe anxiety (high frequency of psychological, social, and physical problems that were difficult for them to control). The most important stressors were the fear of getting infected and social distancing, while self-control was considered the most effective coping strategy by 62.6% of employed students.

Conclusions
These results allow us to provide practical recommendations for effectively coping with stress and anxiety among students in Romania and beyond and to help stakeholders and policymakers design strategies for strengthening students’ resilience, mental health, and well-being in case of future pandemics or other extreme contexts.
Impact of the input of women’s working hours on household non-economic welfare
Authors: Chu Liming , Zhang Qi 
Published: December 2024

Abstract
Background
The economic functions of families are strengthened by the labor supply of family members. However, an in-depth discussion can still be held on the impact of the labor supply of family members on the non-economic functions of families, such as residential, social and psychological functions. This paper sought to understand the household non-economic welfare of women’s working hours. In addition, the household non-economic welfare effects of women’s working hours in terms of subdividing women’s working hours and fine-tuning household non-economic welfare were explored. The residential, social and psychological effects of women’s working hours were clarified.

Method
This paper addressed the above problems based on Sen’s welfare theory and Maslow’s hierarchy of needs theory, adopted the feasible ability method, and used nationally representative, timely survey data and data from the 2014–2018 China Family Panel Studies (CFPS).

Results
In this study, it was shown that the psychological effects of women’s working hours are the largest on average, with an average increase of one hour per week boosting psychological effects by 0.53%. The impact of women’s working hours on both residential and social effects has the extreme points of 68.78 and 35.89 h, respectively. By the interval, the residential effects of women’s working hours are 12.7-16.2% compared with those of weekly working hours shorter than 30 h. Additionally, women’s weekly working hours of more than 60 h have the greatest impact on residential effects, which is 16.2%. From the perspective of gender, the residential effects of women’s working hours are above those of men’s working hours. Compared to weekly working hours of less than 30 h, the social and psychological effects of women’s working hours are weaker than those of men’s working hours.

Conclusions
This study not only contributes to the understanding of contributions to households from the perspective of labor value but also provides lessons for enhancing household non-economic welfare.

Contributions to the literature
Limited evidence shows the contributions of working hours and healthy family development in social policies.Women’s working hours increase the residential, social and psychological effects of families. Psychological effects are the largest, with an average increase of one hour per week being associated with an increase of 0.53% in psychological effects. The impact of women’s working hours on subjective health is lower than that of men’s working hours.Few studies systematically analyze the impact of women’s working hours on family residence, socialization and subjective health, and thus target family-friendly policies.
How do citizens with low health insurance literacy choose a health insurance policy in the Netherlands? An interview study
Authors: Holst Laurens , Brabers Anne , Rademakers Jany , de Jong Judith 
Published: December 2024

AbstractVarious countries have implemented a choice-based health insurance system. For such systems to function as intended, it is crucial that all citizens have the opportunity to make well-informed decisions with regard to their health insurance policy. There is, however, ample research evidence to suggest that many citizens may lack the required skills to do so, thus increasing the likelihood of suboptimal insurance choices and incurring unexpected costs. The current study explored what barriers citizens in the Netherlands, with low health insurance literacy (HIL), face when selecting a health insurance policy, and what their specific needs and preferences are regarding information and support. Semi-structured interviews (online or telephone) were performed between January 2023 and April 2023 among sixteen with a low level of HIL. The data were analyzed using thematic analysis methods. Our results show that not all citizens with low HIL are sufficiently motivated to actively look for alternative health insurance options every year. This is partly due to the feeling that it is a task imposed upon them by the government, and because choosing a health insurance policy is perceived as too complicated and not sufficiently worthwhile. There is a need among citizens with low HIL for clear and practical information about health insurance policies, especially from the government and health insurers. In addition to this need, we recommend enhancing awareness regarding the consequences of neglecting to explore such health insurance options. Moreover, more personal attention for the process of selecting a health insurance policy should be offered to vulnerable groups such as those who possess insufficient digital skills.