Potential and Challenges of Biofuels from Keruing (Dipterocarpus spp.) to Support Sustainable Fuel Transition in the Transportation Sector by Nurin Alwaaritsy, Arista Romadan

“…This study aims to analyze the challenges of developing biofuel from keruing for the transportation sector in Indonesia, using a mixed method enhanced by machine learning for data analysis. The results show that keruing oil has potential as a biofuel, but the main challenges lie in infrastructure, knowledge limitations, and processing techniques. …”
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Prediction of Social Anxiety Based on Distress Tolerance and Emotional Self-Regulation among Adolescents with Divorced Parents by Fatemeh Foroozan, Kiumars Farahbaksh

“…The instruments employed for data collection included Social Phobia Inventory (SPIN), Distress Tolerance Scale, and Learning Motivated Attention and Regulatory Strategies (MARS). …”
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Empowering Reading Comprehension in EFL Vocational School Students through Folktale by Enni Enni, Nurul Hasanah, Syahban Mada Ali

“…Utilizing purposive sampling, a sample size of 23 students was selected for the study, with the reading test serving as the primary research instrument. The data analysis unveiled a noteworthy improvement in students' mean scores, escalating from a pre-test score of 48 (categorized as very poor) to a post-test score of 75 (categorized as good). …”
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Predictors of breakfast consumption among Iranian students: applying social cognitive theory by Shadi Askari, Nooshin Salimi, Ehsan Bakhshi

“…An online questionnaire consisting of demographic information scales, SCT variables and breakfast consumption behavior was sent to student groups. Data were analyzed using descriptive statistical tests, chi-square test, linear regression and correlation analysis in SPSS software version 16. …”
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Access of primary school students to information and communication technologies in Turkey by Ira Gözde Özenç, İra Nejat, Güngörc Şevket, Çakır Pınar, Aksu Ali

“…Besides, the research study was built on the statistical data published by the OECD, the Turkish Statistical Institute, and the Ministry of National Education, published official documents, news, and other literature materials related to the subject. …”
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Evaluation, Inteval, and Two National Audit Offices (U.S. GAO & Netherlands Court of Audit): Ray Rist’s Contributions and Leadership in the Early Years of INTEVAL by Frans Leeuw

“…Intervention: Not applicable Research design: Not applicable Data collection and analysis: Not applicable Findings: A number of lessons are set out about the role of leadership in evaluation. …”
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UNDERGRADUATE STUDENTS' PERCEPTION AND ATTITUDE TOWARD THE USE OF POWERPOINT FOR LECTURE DELIVERY IN TERTIARY INSTITUTION by Chidimma Maria Goretti Igwe, Nnaemeka Kenechi Oguezue, Emmanuel Chibuike Nwune

“…Effective teaching and learning, especially in the 21st century, is pivoted on a deliberate and appropriate integration of technology in the classroom. …”
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On the connection between least squares, regularization, and classical shadows by Zhihui Zhu, Joseph M. Lukens, Brian T. Kirby

“…Here, we clarify and explore the connection between CS techniques and least squares (LS) and regularized least squares (RLS) methods commonly used in machine learning and data analysis. By formal identification of LS and RLS ``shadows'' completely analogous to those in CS---namely, point estimators calculated from the empirical frequencies of single measurements---we show that both RLS and CS can be viewed as regularizers for the underdetermined regime, replacing the pseudoinverse with invertible alternatives. …”
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Artificial Intelligence and Augmented Reality: A Possible Continuum for the Enhancement of Built Heritage by Roberta Spallone, Valerio Palma

“…The second project focuses on the development of a mobile app to access data on monuments, exploiting deep learning technologies for image recognition. …”
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Investigating crisis resilience pedagogy during the COVID-19 pandemic in Grade 10 business studies classrooms by Mbali Mabaso, Devika Naidoo

“…Informed  by qualitative research methodology, data were collected from document analysis, semi-structured interviews, and classroom observations. …”
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On the strength of the fragile: Characters of children with disabilities in the novels 'Heidi' by J. Spyri and 'About the button and happiness' by J. Petrović by Lukinić-Janjuš Nevena I., Stanković-Šošo Nataša B.

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Relation Between Mathematics Self-Efficacy, Mathematics Anxiety, Behavioural Engagement, and Mathematics Achievement in Japan by Yuno Shimizu

“…Moreover, this study examines whether there are any differences in this relationship according to gender and socio-economic status (SES). A path analysis using the data from students in Japan (<i>n</i> = 5760) in the PISA 2022 dataset revealed that (1) self-efficacy for formal and applied mathematics was significantly negatively related to mathematics anxiety and significantly positively related to behavioural engagement and mathematics achievement, (2) self-efficacy for mathematical reasoning and 21st-century mathematics was found to be significantly negatively associated with mathematics anxiety and positively associated with behavioural engagement, and (3) while a negative correlation was observed between mathematics anxiety and behavioural engagement, a significant relationship was not identified between the two and mathematics achievement. …”
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Exploring the promotion of musical intangible cultural heritage under TikTok short videos by Huimin Cao

“…Finally, the data from the questionnaire are organized and analyzed. …”
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Causalities Between Exports, Imports, and Total Factor Productivity in Developing Countries: The Case of Türkiye, Brazil, India, and South Africa by Mehmet Emre Ünsal

“…For this purpose, time series analyses are performed using data from the economies of Türkiye, Brazil, India, and South Africa. …”
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Working Together to Enhance Autonomy: A Participatory Action Research Among Residents and Staff in a Nursing Home by Jolande van Loon, Meriam Janssen, Bienke Janssen, Ietje de Rooij, Katrien Luijkx

“…An action group consisting of residents and staff in one unit of a nursing home identified, undertook, and evaluated actions to enhance residents’ autonomy. The generated data were analyzed with the critical creative hermeneutic analysis. …”
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The Study of Some Social Factors Affecting Norm-Breaking by Students (Study on Secondary School Boys and Gilrs Students in Ahwaz) by SEYED ABDOLHOSSEIN NABAVI, abdolreza navah, afsaneh hosseinvand

“…This study is survey, sample size of 375 students and tools have been used questionnaires, to collect data how were selected through multi stage cluster sampling method and statistical procedure for investigation of the software Spss is used. …”
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The Development Assessment Instruments of Higher Order Thinking Skills on Economic Subject by Riza Yonisa Kurniawan, Dian Lestari

“…This study adopts the development model of Borg & Gall which is limited to five stages of development, namely, data collection, product design, product testing, product analysis and final product revision. …”
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Directional hand movement can be classified from insular cortex SEEG signals using recurrent neural networks and high-gamma band features by Xiecheng Shao, Ryan S. Chung, Jonathon M. Cavaleri, Roberto Martin Del Campo-Vera, Miguel Parra, Shivani Sundaram, Selena Zhang, Ashwitha Surabhi, Ryan J. McGinn, Charles Y. Liu, Spencer S. Kellis, Brian Lee

“…Demixed Principal Component Analysis (dPCA) was used for dimension reduction (d = 10) and feature extraction from the time-frequency analysis. …”
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Inflectional Changes of Double Marked Form: Evidence from a Corpus Study of English Verbal System by Basima Othman Mahmood

“…P., … Orwant, J. (2011). Quantitative analysis of culture using millions of digitized books. …”
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Explainable AI-driven assessment of hydro climatic interactions shaping river discharge dynamics in a monsoonal basin by Prashant Parasar, Akhouri Pramod Krishna

“…The main findings of this study are (1) KAN demonstrated high predictive performance with root mean squared error (RMSE) values ranging from 42.7 to 58.3 m3/s, Nash–Sutcliffe efficiency (NSE) between 0.80 and 0.87, mean absolute error (MAE) between 28.9 to 52.7 and R2 values between 0.84 and 0.90 across stations. (2) SHAP based feature contribution analysis identified Relative humidity (hurs), specific humidity (huss), and temperature (tas) as key predictors, while (pr) showed limited contribution due to spatial inherent inconsistencies in GCM precipitation data. (3) The bootstrapped SHAP distributions highlighted substantial variability in feature importance, particularly for humidity variables, revealing station specific uncertainty patterns in model interpretation. (4) The KAN framework results indicate strong temporal alignment and physical realism, confirming KAN’s robustness in capturing seasonal discharge dynamics and extreme flow events under monsoon influence environments. (5) In this study KAN with SHAP (SHapley additive exPlanations) is implemented for hydrological modeling under monsoon-influenced and data-limited regions such as SRB, offering improved accuracy, functional precision and efficiency compared to traditional models. …”
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