mdpi-ai/citelens huggingface dataset:
“I wanted to hide but also to be found”: the high school experiences of young adults who grew up in the same home as a sibling with depression
Field: PSYCHOLOGY

Background: Depression is a mental health condition that can have far-reaching consequences for the entire family, not just for the affected individual. Siblings are particularly vulnerable in that the unremitting stress and guilt at home can affect multiple aspects of their lives, including relationships, added responsibilities, and health. This pressure may affect siblings’ own emotional well-being and academic success. Most studies in this field have examined the impact of depression on the affected adolescents or their parents, whereas few have examined the impact on siblings. Sibling studies have been limited by lack of sample homogeneity, especially in the context of coping in high school. This study sought to examine the retrospective experiences of young adults who lived in the same house as a sibling with depression while they were in high school. Methods: This qualitative study examined 21 young adults (aged 18–29) who grew up with a sibling with depression. In-depth, semi-structured interviews were conducted from May to September 2022. The interviews were recorded and transcribed and underwent thematic analysis. Results: Three main themes emerged from the interviews: (1) “School as a place of refuge”: The perspective of participants who grew up with a sibling with depression regarding their high school experience. (2) “I wanted the adults at school to see me”: Relations between research participants and the school educational staff. (3) “I was afraid people would relate to me as the sibling of a crazy person”: Participants’ relationships with their peers. Conclusions: This study sheds light on the experiences of adolescents who grew up with a sibling with depression. The findings point to feelings of being invisible, self-nullification, avoiding sharing with others, and transparency. The participants were afraid that if their peers found out about their sibling they would also be stigmatized and alienated. The study shows that adolescents living with a sibling with depression need support at school.
How Co-Teaching May Contribute to Inclusion in Mathematics Education: A Systematic Literature Review
Field: EDUCATION

This systematic literature review focuses on co-teaching and inclusion in mathematics education. Co-teaching, in which two or more teachers share responsibility for students’ mathematical learning, can cater to students in need of special education. Through a narrative synthesis of 15 articles found through searches in 5 databases, this study investigates what characterizes co-teaching and how it contributes to students’ inclusion in mathematics education. The review was conducted by identifying the focus, specifying review questions, determining studies to include, deciding on data to extract, and reporting the results. The findings show that co-teaching can contribute to spatial inclusion in mathematics education, implying that all students can be taught in the same classroom. Furthermore, co-teaching that contributes to social and didactical inclusion addresses all students’ mathematical learning if it is flexibly organized. Therefore, students struggling to gain access to mathematics and those requiring extra challenges in mathematics learning can benefit from this teaching model.
SEML: Self-Supervised Information-Enhanced Meta-learning for Few-Shot Text Classification
Field: AI

Training a deep-learning text classification model usually requires a large amount of labeled data, yet labeling data are usually labor-intensive and time-consuming. Few-shot text classification focuses on predicting unknown samples using only a few labeled samples. Recently, metric-based meta-learning methods have achieved promising results in few-shot text classification. They use episodic training in labeled samples to enhance the model’s generalization ability. However, existing models only focus on learning from a few labeled samples but neglect to learn from a large number of unlabeled samples. In this paper, we exploit the knowledge learned by the model in unlabeled samples to improve the generalization performance of the meta-network. Specifically, we introduce a novel knowledge distillation method that expands and enriches the meta-learning representation with self-supervised information. Meanwhile, we design a graph aggregation method that efficiently interacts the query set information with the support set information in each task and outputs a more discriminative representation. We conducted experiments on three public few-shot text classification datasets. The experimental results show that our model performs better than the state-of-the-art models in 5-way 1-shot and 5-way 5-shot cases.
Media screen time use and mental health in school aged children during the pandemic
Field: PSYCHOLOGY

Children’s screen time activity has increased significantly during the pandemic. Extended school closures and heightened parent stress are associated with children’s behavioural difficulties and time spent watching screens. The primary aim of this study was to determine which school and household factors were associated with challenging behaviours in Canadian schoolchildren during the COVID-19 pandemic. This longitudinal survey study examined the association amongst screen time, internalizing and externalizing behaviours in school-aged children at two time points over the 2020–2021 academic school year. Parents completed survey measures on their parental involvement, stress levels, and their child’s screen time use as well as their emotional and behavioural difficulties. Children’s average daily screen time was 4.40 h (SE = 18.45) at baseline and 3.89 h (SE = 16.70) at 1-year follow up, with no significant change across the school year (p = .316). Increased screen time use was associated with a greater incidence of internalizing behaviours in children (p = .03). Children who spent more time on screens and who were in households with parents reporting higher stress levels had increased internalizing behaviours (p < .001). No association between screen time use and externalizing behaviours was evident; however, parent stress was positively associated with children’s externalizing behaviours (p < .001). Children’s screen time use has remained high during the pandemic and is associated with anxious and depressive symptoms. Children who spent more time on screens and who were in households with parents reporting higher stress levels had increased internalizing behaviours. Parent stress was positively associated with children’s externalizing behaviours. Targeted family intervention plans focused on reducing parent stress and screen time use may aid in improving children’s mental health during the ongoing pandemic.
Savoring life during pandemic: an online intervention to promote well-being in emerging adults
Field: PSYCHOLOGY

Background: Savoring, that is the ability to create and increase positive emotions, represents a promising approach to enhance subjective well-being (SWB) in emerging adults. This controlled study aims to investigate the preliminary effects of a self-help e-savoring intervention on increasing savoring beliefs and strategies and SWB in times of the COVID-19 pandemic. Methods: Forty-nine emerging adult participants were recruited using the snowball sampling method. The experimental group (n = 23) completed six online exercises (two exercises per week for three weeks) while the control group (n = 26) did not receive the intervention. Both groups filled out online questionnaires before and after the intervention. User experience and perceived usefulness of the intervention were assessed for the experimental group. Results: A repeated measures analysis of variance (ANOVA) revealed a significant increase for the experimental group in savoring beliefs (especially toward the present and the future) and in positive emotions compared to the control group. The perspicuity, attractiveness, and efficiency of the online platform were very positively evaluated, and most participants rated the intervention as useful. Conclusions: The results of this preliminary study together with the high level of adherence and the appreciation for the intervention indicate the potential of promoting online savoring and positive emotions in emerging adults. Future research could evaluate its long-term effects and verify its results with other age groups.
Fostering computational thinking through unplugged activities: A systematic literature review and meta-analysis
Field: EDUCATION

Unplugged activities as a low-cost solution to foster computational thinking (CT) skills seem to be a trend in recent years. However, current evidence of the effectiveness of unplugged activities in promoting students’ CT skills has been inconsistent. To understand the potential of unplugged activities on computational thinking skills, a systematic review and meta-analysis were conducted. Our review of 49 studies examined the influence of unplugged activities to improve students’ CT skills in K–12 education between 2006 and 2022. The literature review showed that studies on CT skills were mainly (81.64%) conducted in computer science and STEM education, with board and card games being the most common unplugged activities for fostering CT skills in K–12 education. CT diagnostic tools (36.37%) were frequently used as assessment tools. A follow-up meta-analysis of 13 studies with 16 effect sizes showed a generally large overall effect size (Hedges’s g = 1.028, 95% CI [0.641, 1.415], p < 0.001) for the use of unplugged activities in promoting students’ CT skills. The analysis of several moderator variables (i.e., grade level, class size, intervention duration, and learning tools) and their possible effects on CT skills indicated that unplugged activities are a promising instructional strategy for enhancing students’ CT skills. Taken together, the results highlight the affordances of unplugged pedagogy for promoting CT skills in K–12 education. Recommendations for policies, practice, and research are provided accordingly.
Effect of differences in O-RADS lexicon interpretation between senior and junior sonologists on O-RADS classification and diagnostic performance
Field: ONCOLOGY

Purpose To assess the consistency of Ovarian-Adnexal Reporting and Data System (O-RADS) lexicon interpretation between senior and junior sonologists and to investigate its impact on O-RADS classification and diagnostic performance. Methods We prospectively studied 620 patients with adnexal lesions, all of whom underwent transvaginal or transrectal ultrasound performed by a senior sonologist (R1) who selected the O-RADS lexicon description and O-RADS category for the lesion after the examination. Meanwhile, the junior sonologist (R2) analyzed the images retained by R1 and divided the lesion in the same way. Pathological findings were used as a reference standard. kappa (к) statistics were used to assess the interobserver agreement. Results Of the 620 adnexal lesions, 532 were benign and 88 were malignant. When using the O-RADS lexicon, R1 and R2 had almost perfect agreement regarding lesion category, external contour of solid lesions, presence of papillary inside cystic lesions, and fluid echogenicity (к: 0.81–1.00). Substantial agreement in solid components, acoustic shadow, vascularity and O-RADS categories (к: 0.61–0.80). Consistency in classifying classic benign lesions in the O-RADS category was only moderate (к = 0.535). No significant difference in diagnostic performance between them using O-RADS (P = 0.1211). Conclusion There was good agreement between senior and junior sonologists in the interpretation of the O-RADS lexicon and in the classification of O-RADS, except for a moderate agreement in the interpretation and classification of classic benign lesions. Differences in O-RADS category delineation between sonologists had no significant effect on the diagnostic performance of O-RADS.
Study of Alternative Imaging Methods for In Vivo Boron Neutron Capture Therapy
Field: ONCOLOGY

Boron Neutron Capture Therapy (BNCT) is an innovative and highly selective treatment against cancer. Nowadays, in vivo boron dosimetry is an important method to carry out such therapy in clinical environments. In this work, different imaging methods were tested for dosimetry and tumor monitoring in BNCT based on a Compton camera detector. A dedicated dataset was generated through Monte Carlo tools to study the imaging capabilities. We first applied the Maximum Likelihood Expectation Maximization (MLEM) iterative method to study dosimetry tomography. As well, two methods based on morphological filtering and deep learning techniques with Convolutional Neural Networks (CNN), respectively, were studied for tumor monitoring. Furthermore, clinical aspects such as the dependence on the boron concentration ratio in image reconstruction and the stretching effect along the detector position axis were analyzed. A simulated spherical gamma source was studied in several conditions (different detector distances and boron concentration ratios) using MLEM. This approach proved the possibility of monitoring the boron dose. Tumor monitoring using the CNN method shows promising results that could be enhanced by increasing the training dataset.
Examining the Influence of Exploration and Parental Education Attainment on Students’ Acceptance of Collectivist Values
Field: PSYCHOLOGY

Exploration can help students access a wider range of information and make connections among values within the natural and social world. This study investigated the relationship between students’ previous exploration of their surroundings and their acceptance of collectivist values in the context of China. A sample of 343 college students was analyzed based on the Bayesian Mindsponge Framework to explore this relationship. The results revealed a positive association between students’ prior exploration of surroundings and their degree of collectivist orientation. Furthermore, parental education attainment was found to negatively moderate this association, albeit with a small effect size. These findings contribute to the understanding of how information acquisition influences students’ acceptance of collectivist values and highlight the potential role of the family infosphere in shaping this relationship.
Parenting profiles: motivation toward health-oriented physical activity and intention to be physically active
Field: PSYCHOLOGY

Parents influence their sons’ and daughters’ interest in practicing and maintaining physical activity through parenting patterns. To identify perceived parenting style profiles and examine whether the participants differed in their motivation toward health-oriented physical activity and the intention to be physically active. A sample of 296 participants completed a series of self-report measures and a latent profile analysis (LPA) was performed. Two profiles emerged as the most suitable: profile (a) with average scores in parenting variables, and profile (b) with high scores in parenting variables. The results revealed significant differences in integrated regulation and in amotivation, reporting higher scores for profile (b) in the parenting variables love/affection, hostility/aggression, and indifference/neglect, and average in undifferentiated/rejection and control. The combination of perceived parenting style variables in the profiles seems to influence people’s motivation toward health-oriented physical activity. As such, it is crucial to understand parenting from a multivariate approach, mostly in interventions to adjust parenting styles to the most suitable combination.
Comparative Analysis of Photon Stereotactic Radiotherapy and Carbon-Ion Radiotherapy for Elderly Patients with Stage I Non-Small-Cell Lung Cancer: A Multicenter Retrospective Study
Field: ONCOLOGY

The emergence of an aging society and technological advances have made radiotherapy, especially stereotactic body radiotherapy (SBRT), a common alternative to surgery for elderly patients with early stage non-small-cell lung cancer (NSCLC). Carbon-ion radiotherapy (CIRT) is also an attractive treatment option with potentially lower toxicity for elderly patients with comorbidities. We compared the clinical outcomes of the two modalities using Japanese multicenter data. SBRT (n = 420) and single-fraction CIRT (n = 70) data for patients with stage I NSCLC from 20 centers were retrospectively analyzed. Contiguous patients ≥ 80 years of age were enrolled, and overall survival (OS), disease-specific survival (DSS), local control (LC), and adverse event rates were compared. The median age was 83 years in both groups and the median follow-up periods were 28.5 and 42.7 months for SBRT and CIRT, respectively. The 3-year OS, DSS, and LC rates were 76.0% vs. 72.3% (p = 0.21), 87.5% vs. 81.6% (p = 0.46), and 79.2% vs. 78.2% (p = 0.87), respectively, for the SBRT vs. CIRT groups. Regarding toxicity, 2.9% of the SBRT group developed grade ≥ 3 radiation pneumonitis, whereas none of the CIRT group developed grade ≥ 2 radiation pneumonitis. SBRT and CIRT in elderly patients showed similar survival and LC rates, although CIRT was associated with less severe radiation pneumonitis.
Risk prediction of second primary malignancies after gynecological malignant neoplasms resection with and without radiation therapy: a population-based surveillance, epidemiology, and end results (SEER) analysis
Field: ONCOLOGY

Purpose: The association between post-resection radiotherapy for primary gynecological malignant neoplasms (GMNs) and the development of secondary primary malignancies (SPMs) remains a subject of debate. This study represents the first population-based analysis employing a multivariate competitive risk model to assess risk factors for this relationship and to develop a comprehensive competing-risk nomogram for quantitatively predicting SPM probabilities. Materials and methods: In our study, data on patients with primary GMNs were retrospectively collected from the Epidemiology, Surveillance and End Results (SEER) database from 1973 to 2015. The incidence of secondary malignant tumors diagnosed at least six months after GMN diagnosis was compared to determine potential risk factors for SPMs in GMN patients using the Fine and Gray proportional sub-distribution hazard model. A competing-risk nomogram was constructed to quantify SPM probabilities. Results: A total of 109,537 patients with GMNs were included in the study, with 76,675 and 32,862 GMN patients in the training and verification sets, respectively. The competing-risk model analysis identified age, primary tumor location, tumor grade, disease stage, chemotherapy, and radiation as risk factors for SPMs in GMN patients. Calibration curves and ROC curves in both training and verification cohorts demonstrated the predictive accuracy of the established nomogram, which exhibited a good ability to predict SPM occurrence. Conclusions: This study presents the nomogram developed for quantitatively predicting SPM probabilities in GMN patients for the first time. The constructed nomogram can assist clinicians in designing personalized treatment strategies and facilitate clinical decision-making processes.
The Antecedents of the Technology Acceptance Model in Microentrepreneurs’ Intention to Use Social Networking Sites
Field: PSYCHOLOGY

Social media platforms offer significant growth opportunities for enterprises, particularly microenterprises, due to the chance to establish direct contact with customers. Drawing on the Technology-Acceptance Model (TAM), in the present study, we investigate the psychological reasons that lead microentrepreneurs to use Social Networking Sites (SNSs) for their business. In doing so, we also extend TAM by taking into account entrepreneurs’ personalities (e.g., extraversion and openness to experience) and their perceived risk. We collected data by examining 247 microentrepreneurs engaged in the production of handmade objects. Our results confirm that of all the TAM behavioral antecedents tested, perceived usefulness and attitude toward SNSs’ usage for business proved to be the best predictors of the intention to use SNSs for business activity. The results also indicate that extraversion, openness to experience, and perceived risk, as external factors, significantly affect the TAM constructs. We discuss implications and suggestions for future research.
Math anxiety affects career choices during development
Field: EDUCATION

Background: Links between math anxiety and the choice of a math-intensive career might change over development and differ by gender. The study included three research populations: primary school (N = 87, 48 females, mean age = 10.2), high school (N = 107, 61 females, mean age = 15.7), and university students (N = 100, 53 females, mean age = 27.4). Students completed a math anxiety questionnaire and reported their desired career choice. Results: Findings suggest that math anxiety directly predicted the career choice math intensity for high school and university students, but not primary school students. Gender had a direct effect on younger students, as female students attending primary and high school preferred careers with a lower math intensity. The effect of gender on career choice math intensity for university students was not direct but mediated by math anxiety. Conclusions: It is crucial to identify young students with math anxiety and provide appropriate math anxiety reduction programs to reduce the cumulative effect of math anxiety on academic achievement and career choice.
How Effective Is Entrepreneurship Education in Schools? An Empirical Study of the New Curriculum in Spain
Field: EDUCATION

This research analyzes the results of an entrepreneurship education program focused on knowledge and attitudes in 1036 students of secondary education, high school, and vocational training, differentiated into two groups, control and experimental. It analyzes the outcomes after incorporating entrepreneurship content into the school curriculum and participating in a program of entrepreneurial potential, which develops creativity, leadership, personal control, achievement motivation, and problem-solving. Non-parametric statistics were used to assess the influence of the acquisition of entrepreneurial knowledge on the gender, age, school ownership, and socio-educational level of the parents. This study shows that students with a positive attitude towards entrepreneurship improve their entrepreneurial knowledge and that the impact is more significant if they participate in the specific program. The results are not significant for the variables gender, school type, and parents’ level of education, but they are significant for age and school level. The effectiveness of including content on entrepreneurship in the curriculum and the specific program is ratified. It is proposed to reinforce education in entrepreneurial knowledge that strengthens the students’ identity and future entrepreneurial intention.