Meta-affective progression in science: A cross-sectional study of junior high school students by Pipih Nurhayati, Ari Widodo, Widi Purwianingsih, Achmad Samsudin

“…Meta-affective traits were assessed using the Meta-Affective Traits for Science Young Learners (MATSYL) questionnaire, comprising 26 statements rated on a five-point Likert scale, measuring two leading indicators: awareness of affect and regulation of affect. Data analysis employed the Independent Samples T-Test, Percentage Change, and Annual Growth Rate. …”
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Exploring medical students’ experiences with indigenous patient care: a phenomenological study by Marghalara Rashid, Nicole Arseneau, Tibetha Kemble, Mosom Patrick Lightning, Karen L. Forbes

“…Interviews were recorded and transcribed verbatim. Data were analyzed using the four main processes for phenomenological analysis.Results Four main themes emerged from students’ descriptions of clinical experiences involving Indigenous patients: 1) students describe how their Indigenous patients encounter the health care system and their own lack of cultural sensitivity in this context; 2) racism was evident in students’ clinical interactions with Indigenous patients, but students do not always perceive these biases nor the impact of this on patient care; 3) identifying the impact of racism on care is complicated by situational clinical encounters; and 4) practicality of preclinical Indigenous health education is desired by students to prepare them for working with Indigenous patients in the clinical setting.Conclusions In their clinical experiences, students witness racism against Indigenous peoples yet are unprepared to stand up against it. …”
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Social robot radical innovation: capacities and status attributed to the NAO robot by 11 to 12-year-old students and preservice teachers’ perceptions by Andreja Istenič, Vid Podpečan, Violeta Rosanda, Xuesong Zhai

“…The study objective was (a) preservice teachers’ knowledge of which capacities and status students attribute to the NAO robot in an educational setting compared with (b) the capacities and status students attribute to the NAO robot. In data analysis, preservice teachers’ and students’ scores were compared. …”
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Using Gradient Boosting Regression to Improve Ambient Solar Wind Model Predictions by R. L. Bailey, M. A. Reiss, C. N. Arge, C. Möstl, C. J. Henney, M. J. Owens, U. V. Amerstorfer, T. Amerstorfer, A. J. Weiss, J. Hinterreiter

“…In addition, this approach offers a new perspective to discuss the role of different input data to ambient solar wind modeling, and what this tells us about the underlying physical processes. …”
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Gonadal Dysfunction in Wolfram Syndrome: A Prospective Study by Gema Esteban-Bueno, Juan Luis Fernández-Martínez

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Initial outcomes in a sickle cell disease transition clinic by Katheryne Madrazo-Aguirre, Jean-Antoine Ribeil, Amy E. Sobota

“…Methods: We reviewed charts of patients attending the clinic from September 2021 to May 2023. Data were collected on the number of visits in the transition and adult SCD clinics. …”
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Intercultural competence in multimodal reading comprehension: content validation of a didactic proposal for a multicultural classroom by Tricia Mardones, Tricia Mardones, Carmen Sotomayor, Diego Escobar

“…In the Chilean case, there are schools with a high percentage of Latin American migrant students, which implies an intercultural pedagogical challenge. In the context of learning reading comprehension, data emerge that place migrant students on the SIMCE Reading test with lower scores than local students. …”
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Exploring factors influencing the consistent adoption of a post-stroke upper extremity outcome measure using Normalisation Process Theory by Silvana X. Choo, Joshua Yong, Shaikh Abdullah Bin Mohamed Rafi, Chen Ju Lo, Jun Bin Tong, Elaine Lum, Julian Thumboo

“…Methods Employing a mixed-method sequential exploratory study design rooted in Normalisation Process Theory (NPT), we gathered quantitative data through a validated survey followed by qualitative insights analysed with directed content analysis from focus group discussions involving occupational therapists from four hospitals. …”
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Effect of Risk-Based Audit and Information Technology on the Relationship between Client’s Risk Management and Audit Quality by Huy Cao Tan, Tuan Anh Dang

“…Validity and reliability were rigorously tested, and the analysis assessed direct, mediating, and moderating relationships. …”
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Proteomic risk scores for predicting common diseases using linear and neural network models in the UK biobank by Alexander Smith, Paul Elliott, Manuel Mayr, Abbas Dehghan, Ioanna Tzoulaki

“…Abstract Plasma proteomics provides a unique opportunity to enhance disease prediction by capturing protein expression patterns linked to diverse pathological processes. Leveraging data from 2,923 proteins measured in 53,030 UK Biobank participants, we developed proteomic risk scores for 27 common outcomes over 5- and 15-year follow-up periods using two approaches: a linear ElasticNet regression model and a deep learning neural network (NN) model. …”
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Urinary continence outcomes during the transition from laparoscopic to robotic assisted radical prostatectomy: A single surgeon’s Australian regional centre experience by Basil Razi, Dane Cole-Clark, Duncan Self, Mark Louie-Johnsun

“…Methods:: Prospective data collection included patient demographics, surgical method, and pad usage at 3 and 12 months postoperatively. …”
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Enhancing sound-based classification of birds and anurans with spectrogram representations and acoustic indices in neural network architectures by Fábio Felix Dias, Moacir Antonelli Ponti, Rosane Minghim

“…Research on habitat monitoring via passive acoustics has generated vast audio resources for soundscape ecology, calling for automated methods to aid data analysis. While Deep Neural Networks excel in classification tasks, their application to audio collected in the wild presents several challenges compared to other audio sources. …”
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Combination ATR-FTIR with Multiple Classification Algorithms for Authentication of the Four Medicinal Plants from <i>Curcuma</i> L. in Rhizomes and Tuberous Roots by Qiuyi Wen, Wenlong Wei, Yun Li, Dan Chen, Jianqing Zhang, Zhenwei Li, De-an Guo

“…We developed a rapid analysis method for identification of affinis and different medicinal materials using attenuated total reflection-Fourier-transform infrared spectroscopy (ATR-FTIR) combined with machine learning algorithms. …”
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Leveraging Neural Trojan Side-Channels for Output Exfiltration by Vincent Meyers, Michael Hefenbrock, Dennis Gnad, Mehdi Tahoori

“…Specifically, malicious actors may embed neural Trojans within NNs, exploiting them to leak sensitive data through side-channel analysis. This paper builds upon our prior work, where we demonstrated the feasibility of embedding Trojan side-channels in neural network weights, enabling the extraction of classification results via remote power side-channel attacks. …”
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Leveraging artificial intelligence in the prediction, diagnosis and treatment of depression and anxiety among perinatal women in low- and middle-income countries: a systematic revi... by Uchechi Shirley Anaduaka, Ayomide Oluwaseyi Oladosu, Samantha Katsande, Clinton Sekyere Frempong, Success Awuku-Amador

“…Eligible studies were identified and extracted based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines using Covidence, and the data were synthesised using thematic analysis.Results Out of 2203 studies, 19 studies across eight countries were deemed eligible for extraction and synthesis. …”
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FEMALE GENITAL MUTILATION AND THE DEVELOPMENT OF THE GIRL CHILD IN AKPABUYO LOCAL GOVERNMENT AREA OF CROSS RIVER STATE, NIGERIA by NNANA OKOIOFEM, JULIANA JEROME ADIE, OMINI UBI UBI, RUNYI DANIEL JAMES

“…The study adopted survey research design where research questionnaire was used as the main instrument of data collection. The questionnaire containing 3 items questions designed in both open and closed ended questions and administered to the respondents. 120 questionnaires were administered and 20 were invalid while 100 valid questionnaires were used for the analysis. …”
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Clinical characteristics of adrenal crisis in 371 adult patients with glucocorticoid-induced adrenal insufficiency by Ying Qiu, Ying Qiu, Ying Luo, Xinqian Geng, Yujian Li, Yujian Li, Yunhua Feng, Ying Yang

“…This study aims to analyze the clinical characteristics of GIAI patients with AC and explore the related risk factors.MethodsClinical data of adult GIAI patients treated at our hospital between January 1, 2014, and December 31, 2023 were included. …”
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SHAP-enhanced interpretive MGTWR-CNN-BILSTM-AM framework for predicting surface subsidence: a case study of Shanghai municipality by Long Wen-Jiang, Yu Xue-Xiang, Zhu Ming-Fei, Xue Li, Zhang Guang-Hui, Wang Lin-Lin

“…Utilizing SBAS-InSAR-derived deformation data from Shanghai’s primary subsidence zones, validated through GNSS and PS-InSAR observations, we developed a Multi-scale Geographically and Temporally Weighted Regression (MGTWR) framework. …”
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HYBRID COMMUNICATION TRAINING TECHNIQUE TO SOLVE WARTIME ACADEMIC AND SAFETY ISSUES: PERCEPTION OF MEDICAL STUDENTS by Lyubov Gutor, Pavlo Sodomora

“…The research involved 407 participants. The data were analyzed using a series of theoretical and empirical methods. …”
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The multi-level influence mechanism of family background on children's education level: The moderating effect of socioeconomic status. by Ting Qin, Pingqiang Wei, Yuanyuan Xie

“…<h4>Methods</h4>Based on the data of China General Social Survey in 2021, a total of 4592 samples were selected. …”
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