A land-cover-assisted super-resolution model for retrospective reconstruction of MODIS-like NDVI data across the continental United States by blending Landcover300m and GIMMS NDVI3... by Zhicheng Zhang, Zhenhua Xiong, Xuewen Zhou, Kun Xiao, Wei Wu, Qinchuan Xin

“…This study introduces a novel deep learning-based model, termed the Land-Cover-assisted Super-Resolution SpatioTemporal Fusion model (LCSRSTF), designed to produce biweekly 500-meter MODIS-like data spanning from 1992 to 2010 across the Continental United States (CONUS). …”
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Comprehensive approach to predictive analysis and anomaly detection for road crash fatalities by Chopparapu Gowthami, S. Kavitha

“…The research offers policymakers, transportation authorities, and safety advocates practical insights by utilizing sophisticated machine-learning algorithms and integrating multiple datasets. …”
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Knowledge Management System Berbasis Web tentang Budidaya Hidroponik untuk Mendukung Smart Society by Ariq Cahya Wardhana, Yani Nurhadryani, Sri Wahjuni

“…Facilitate access to digital learning facilities as an essential part of the plan of the Bogor City government, namely smart society, information technology support is needed as a means of sharing hydroponic cultivation knowledge. …”
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Behaviors and influencing factors of Chinese oncology nurses towards frailty care: A cross-sectional study based on knowledge-attitude-practice theory in 2024. by Xiaoxue Chen, Fang Xiao, Yuhua Miao, Huiying Qin, Lirong Yang, Fang Shen, Xiuhong Yuan

“…Pearson's correlations analysis showed that nursing grades (r = 0.13), frailty-related training willingness (r = 0.18), nursing frail patients experience (r = 0.22), frailty-related knowledge learning experience (r = 0.33), frailty-related training experience (r = 0.17), frailty care knowledge (r = 0.23), and hospice care attitudes (r = 0.54) were positively associated with frailty care behaviors. …”
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Refining management strategies for Lennox–Gastaut syndrome: Updated algorithms and practical approaches by Stéphane Auvin, Alexis Arzimanoglou, Mercè Falip, Pasquale Striano, J. Helen Cross

“…Most people with LGS have learning difficulties and need a lot of support, often in residential care. …”
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A Comparison of Classification Algorithms for Predicting Dis-tinctive Characteristics in Fine Aroma Cocoa Flowers Using WE-KA Modeler by Daniel Tineo, Yuriko S. Murillo, Mercedes Marín, Darwin Gomez, Victor H. Taboada, Malluri Goñas, Lenin Quiñones Huatangari

“…This research provides a comprehensive overview of the use of machine learning to analyze functional traits of flowers that most influence cocoa genetic diversity. …”
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An Analysis of the Vocational-Educational Problematics for Substantiating Production Specialist Competencies by V. E. Steinberg, L. V. Vakhidova, E. M. Gabitova

“…This also enables to effectively build and timely adjust the learning process of really demanded, competitive experts capable to realise innovative projects, to master and create new equipment, i. e. to keep the successful operation and development of production and economics of a region and a country in general. …”
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ECG-LM: Understanding Electrocardiogram with a Large Language Model by Kai Yang, Massimo Hong, Jiahuan Zhang, Yizhen Luo, Suyuan Zhao, Ou Zhang, Xiaomao Yu, Jiawen Zhou, Liuqing Yang, Ping Zhang, Mu Qiao, Zaiqing Nie

“…However, the interpretation of ECG data alongside patient information demands substantial medical expertise and resources. While deep learning methods help streamline this process, they often fall short in integrating patient data with ECG readings and do not provide the nuanced clinical suggestions and insights necessary for accurate diagnosis. …”
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Spatiotemporal Variation and Driving Factors of Carbon Sequestration Rate in Terrestrial Ecosystems of Ningxia, China by Yi Zhang, Chunxiao Cheng, Zhihui Wang, Hongxin Hai, Lulu Miao

“…Based on ground observation data and multimodal datasets, the optimal machine learning model (EXT) was used to invert a 30 m high-resolution vegetation and soil carbon density dataset for Ningxia from 2000 to 2023. …”
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A multi-stakeholder collaborative approach to awareness, education and support needed in the haemophilia gene therapy patient journey – a report on insights from a European patient... by O’Mahony Brian, Fletcher Simon, Baarslag Manuel, Khair Kate, Breederveld Daan, Jansen Nathalie, Pembroke Luke, Pinachyan Karen, Sivasubramaniyam Sujan

“…Teach-back could help ensure appropriate levels of understanding; psychological support could aid managing expectations. Peer-to-peer learning delivered across a variety of platforms, to share experiences of gene therapy and contextualise more ‘formal’ gene therapy education, was considered invaluable.…”
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Generative spatial artificial intelligence for sustainable smart cities: A pioneering large flow model for urban digital twin by Jeffrey Huang, Simon Elias Bibri, Paul Keel

“…It is specifically tailored for integration into UDT systems to enhance predictive analytics, adaptive learning, and complex data management functionalities. …”
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Synaptic transistor implementing potentiation or depression via field distribution modulation of dual dielectric layers by single-polarity pulsed voltage stimuli by Jieun Kim, Jung Wook Lim, Chohyeon Park, Chaerin Yu, Jaehee Lee

“…This study designs, fabricates, and characterizes a dual-gate dielectric synaptic device that utilizes interfacial charge traps to mimic long-term potentiation (LTP) and long-term depression (LTD), which are essential for learning and memory. The device is fabricated using a standard complementary metal-oxide-semiconductor process and is composed of a TiO2 channel deposited over a dual dielectric of SiOx on Al2O3. …”
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Urine proteomics defines an immune checkpoint-associated nephritis signature by Cassian Yee, Jamie S Lin, James P Long, Shailbala Singh, Yanlan Dong

“…Using statistical and machine learning methods, we constructed a novel urine biomarker signature—IL-5+Fas—that achieved an area under the curve of 0.94 for diagnosing ICI-AIN.By leveraging high-sensitivity proteomics, we developed a non-invasive strategy for diagnosing ICI-AIN. …”
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Knowledge and Perception of Eponyms in Chemistry by University Students in Belarus and the United States by U. K. Slabin

“…It was found that the determinant factor for good knowledge and reflective positive attitude towards eponyms is the student’s motivation for learning. This motivation, in turn, is determined by the chosen major. …”
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Utilisation des systèmes de test ALDM dans le cadre de l'étude des réseaux sociaux du babouin de Guinée by Julie Gullstrand, Joël Fagot, Nicolas Claldière

“…Le dispositif ALDM (Automated Learning Device for Monkeys) est un réseau de systèmes de conditionnement opérant, mis en libre accès, à la disposition d'un groupe de babouins de Guinée ("Papio papio") hébergé sur la plateforme Cognition Comparée du Primate (CCDP- site de la station de primatologie de Rousset). …”
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THE PLACE OF PROFESSIONAL EDUCATION SYSTEM IN FORMATION OF GRADUATES’ COMPETITIVENESS by G. F. Shafranov-Kutsev, G. Z. Efimova

“…The respondents focused in the labour sphere on competitive strategy more often recognise insufficiency of knowledge and competencies received by them during the learning process in educational institution. The direct consequence and the indicator of high level of competitiveness is high income level of young specialists. …”
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Automated Generation of Multiple-Choice Questions for Computer Science Education Using Conditional Generative Adversarial Networks by Muhammad Shoaib, Ghassan Husnain, Nasir Sayed, Yazeed Yasin Ghadi, Masoud Alajmi, Ayman Qahmash

“…This interdisciplinary work represents a significant advancement in computer science education, providing educators with a powerful tool to enhance student engagement and learning outcomes.…”
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Novel Fusion Technique for High-Performance Automated Crop Edge Detection in Smart Agriculture by F. Martinez, James B. Romaine, P. Johnson, A. Cardona Ruiz, Pablo Millan Gata

“…To address this, a novel technique has been developed to automatically detect the vegetative area of lettuces, optimising time and eliminating subjectivity during crop inspections. The proposed deep learning model integrates the YOLOv10 object detector, the K-means classifier, and a segmentation method known as superpixel. …”
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A preoperative predictive model based on multi-modal features to predict pathological complete response after neoadjuvant chemoimmunotherapy in esophageal cancer patients by Yana Qi, Yanran Hu, Chengting Lin, Ge Song, Liting Shi, Hui Zhu

“…Radiomics features were extracted from contrast-enhanced CT images using PyrRadiomics, while pathomics features were derived from whole-slide images (WSIs) of pathological specimens using a fine-tuned deep learning model (ResNet-50). After feature selection, three single-modality prediction models and a combined multi-modality model integrating two radiomics features, 11 pathomics features, and two clinicopathological features were constructed using the support vector machine (SVM) algorithm. …”
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A Novel and Automated Approach to Detect Sea- and Land-Based Aquaculture Facilities by Maxim Veroli, Marco Martinoli, Arianna Martini, Riccardo Napolitano, Domitilla Pulcini, Nicolò Tonachella, Fabrizio Capoccioni

“…The results demonstrate that the approach proposed can identify, characterize, and geolocate sea- and land-based aquaculture structures without performing any post-processing procedure, by directly applying customized deep learning and artificial intelligence algorithms.…”
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