Cultural and technological Synergy: A new Pathway to learners success in development studies in Lesotho secondary schools by Musa Adekunle Ayanwale, Mathaha Puseletso

“…Grounded in socio-constructivism, practice architecture, and meaningful verbal learning theory, a quasi-experimental design involving grade 11 intact classes was employed to generate quantitative data. …”
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Spatial Pattern Characteristics and Influencing Factors of Green Use Efficiency of Urban Construction Land in Jilin Province by Huisheng Yu, Ge Song, Tong Li, Yanjun Liu

“…Taking 47 counties and cities in Jilin Province as an example, this paper evaluates the green utilization efficiency of urban construction land (GUEUCL) in 2011 and 2015 by using the unexpected output super-SBM model and explores the spatial-temporal differentiation characteristics and influencing factors of GUEUCL by using GIS and machine learning methods. The results show that (1) the GUEUCL in Jilin Province is low, mainly distributed in small- and medium-sized areas, with significant positive spatial correlation. …”
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Analyzing the Relationship between Moral Climate and Sense of Belonging to School and Academic Success: The Mediating Role of Iraqi Students\' Academic Hardiness by Ne'ma Zakari Rashid Aziz, Behnaz Mohajeran

“…Introduction: Most learning happens through formal education in schools, and effective school systems require a correct combination of educational resources and facilities, the moral orientation of the school atmosphere, and the characteristics of students. …”
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Linguo-Pedagogical Design of Open Question Items in the Context of Digitalization by A. V. Alikina, D. V. Maltsev

“…To model the linguo-pedagogical design of test tasks the concept of an epistemic situation is used, its four components are described: ontological (subject-content definition of objects and elements of control), methodological (selection of types and types of tasks depending on the level of measured outcomes of learning), communicative-pragmatic (ensuring the comprehensibility of the text of the test task) and technological (technical implementation of the automated check of free response). …”
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Addressing Healthcare Access Inequalities in South Africa: Evaluating Legislative and Human Rights Obligations and Proposing Strategies for Improvement by Mlondolozi Mvikweni

“…Additionally, it suggests strengthening oversight mechanisms to ensure compliance with human rights obligations and improving data collection to understand better and address access disparities. Finally learning from Cuba’s healthcare model to improve the South African Healthcare System. …”
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Gradient pooling distillation network for lightweight single image super-resolution reconstruction by Zhiyong Hong, GuanJie Liang, Liping Xiong

“…In recent years, significant progress about SISR has been achieved through the utilization of deep learning technology. However, these deep methods often exhibit large-scale networks architectures, which are computationally intensive and hardware-demanding, and this limits their practical application in some scenarios (e.g., autonomous driving, streaming media) requiring stable and efficient image transmission with high-definition picture quality. …”
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Overcoming ideology-consistent biases: does it help to make things easier? by Philip U. Gustafsson, Torun Lindholm, Freja Isohanni, Ola Svenson, Sophia Appelbom

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Comprehensive dataset from high resolution UAV land cover mapping of diverse natural environments in Serbia by Bojana Ivošević, Nina Pajević, Sanja Brdar, Rana Waqar, Maryam Khan, João Valente

“…This dataset is a valuable resource for researchers working on habitats mapping and assessment for biodiversity monitoring studies on one side and researchers working on novel machine learning methods for land cover classification.…”
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Antimicrobial resistance in diverse urban microbiomes: uncovering patterns and predictive markers by Rodolfo Brizola Toscan, Wojciech Lesiński, Piotr Stomma, Balakrishnan Subramanian, Paweł P. Łabaj, Witold R. Rudnicki, Witold R. Rudnicki

“…Using metagenomic data from the CAMDA 2023 challenge, we applied tools such as AMR++, Bowtie, AMRFinderPlus, and RGI for resistome profiling, along with clustering, normalization, and machine learning techniques to identify predictive markers. …”
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Dual-Path Adaptive Channel Attention Network Based on Feature Constraints for Face Anti-Spoofing by Nana Li, Zhipeng Weng, Fangmei Liu, Zuhe Li, Wei Wang

“…This method narrows the intra-class sample distribution and improves class separability, preventing the model from learning excessive irrelevant information and enhancing the robustness and generalization of face anti-spoofing. …”
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EFL Teachers' Creativity and L2 Learners' Academic Attainment: The Moderating Role of Teaching Experience by Elnaz Zariholhosseini, Sajad Shafiee, Omid Tabatabaee

“…Pupils show enthusiasm for learning a foreign language in a creative environment. …”
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Community supported agriculture’s perceived positive impacts on mental health and vegetable consumption in Norway and the UK by Anna-Birgitte Milford, Daniel Keech, Sarah Wangui Muiruri

“…Vegetable quality and affordability were associated with higher contentment, and learning how to cook and grow vegetables through the CSA was associated with higher consumption of, and interest in, new vegetables. …”
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Real-time facial reconstruction and expression replacement based on neural radiation field by Shenning Zhang, Hui Li, Xuefeng Tian

“…Therefore, this paper proposes a text-driven operation pipeline for facial reconstruction with NeRF, the development of an operating network that is capable of learning to represent scene changes using latent codes that vary at different spatial locations, and the integration of a WeChat mini-program to facilitate practical applications. …”
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“I would like to use it more effectively…” nursing student’s experiences with NANDA-I nursing terminology: a qualitative descriptive study by Turgay Yalcinkaya, Erkan Ünsal, Ayşegül Dönmez, Sebnem Cinar Yucel

“…Abstract Background Standardized nursing terminologies play a crucial role in describing and documenting nursing care. For students, learning the components of the NANDA-I terminology—such as defining characteristics and related factors—accurately is essential for determining nursing diagnoses. …”
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Diagnosis of Cognitive and Mental Disorders: A New Approach Based on Spectral–Spatiotemporal Analysis and Local Graph Structures of Electroencephalogram Signals by Arezoo Sanati Fahandari, Sara Moshiryan, Ateke Goshvarpour

“…Furthermore, the SVM classifier surpassed the other machine learning algorithms when all features were integrated, attaining an accuracy of 89.06%, a sensitivity of 88.97%, an F1 score of 94.16%, and a precision of 100% for the discrimination of depression in the gamma band. …”
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LSTM-based framework for predicting point defect percentage in semiconductor materials using simulated XRD patterns by Mehran Motamedi, Reza Shidpour, Mehdi Ezoji

“…Abstract In this paper, we present a machine learning-based approach that leverages Long Short-Term Memory (LSTM) networks combined with a sliding window technique for feature extraction, aimed at accurately predicting point defect percentages in semiconductor materials based on simulated X-ray Diffraction (XRD) data. …”
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Enhancing Business Intelligence by Means of Suggestive Reviews by Atika Qazi, Ram Gopal Raj, Muhammad Tahir, Erik Cambria, Karim Bux Shah Syed

“…A range of supervised machine learning approaches and feature sets are evaluated to tackle the problem of suggestive opinion mining. …”
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Contextualization of Classical Text Teaching in Traditional and Modern Pesantren by Hilman Rasyid, G. Ginanjar Masruri, Heru Nugraha, Ahmad Sarbini

“…The findings indicate that traditional pesantren maintain classical methods such as sorogan and bandongan, while modern pesantren adopt integrative approaches that combine Islamic traditions with technology-based and contemporary scientific learning methods. Both models successfully preserve the relevance of classical texts in shaping the character of students through strong spiritual and ethical values. …”
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Multiscale characterization of medical devices and pharmaceutical formulations with 3D X-ray microscopy and computed tomography by Herminso Villarraga-Gómez, Ria L. Mitchell

“…It also covers deep-learning (DL) data reconstruction techniques that enhance 3D X-ray microscopy (XRM) and computed tomography (CT) applications in drug delivery and the pharmaceutical industry. …”
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Improving Text Recognition Accuracy for Serbian Legal Documents Using BERT by Miloš Bogdanović, Milena Frtunić Gligorijević, Jelena Kocić, Leonid Stoimenov

“…High-quality datasets, considered a prerequisite for many supervised machine learning algorithms, are often only available in very limited quantities. …”
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