Integrated analysis of single-cell, spatial and bulk RNA-sequencing identifies a cell-death signature for predicting the outcomes of head and neck cancer by Yue Pan, Lei Fei, Shihua Wang, Hua Chen, Changqing Jiang, Hong Li, Changsong Wang, Yao Yang, Qinggao Zhang, Yongwen Chen

“…Bulk RNA-seq from the Cancer Genome Atlas Program (TCGA) dataset was subjected to a machine learning-based integrative procedure for constructing a consensus cell death-related signature risk score (CDRscore) model and validated by external data. …”
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Evaluating augmented reality in physical education for dyslexic students from the perspectives of teachers and students by Nur Azlina Mohamed Mokmin, Regania Pasca Rassy, Darren Lim Yie

“…The transcription of the recorded sessions was then analyzed using thematic analysis, and a thematic map was constructed based on the findings. The implementation of AR in PE instruction has the potential to create a more inclusive learning environment, breaking down barriers and promoting the overall well-being of SWDs in Malaysian schools.…”
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Prediction of Myocardial Infarction Based on Non-ECG Sleep Data Combined With Domain Knowledge by Changyun Li, Yonghan Zhao, Qihui Mo, Zhibing Wang, Xi Xu

“…Prediction of myocardial infarction (MI) is crucial for early intervention and treatment. Machine learning has increasingly been applied in the realm of disease prediction. …”
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Estimation of Maize Water Requirements Based on the Low-Cost Image Acquisition Methods and the Meteorological Parameters by Jiuxiao Zhao, Jianping Tao, Shirui Zhang, Jingjing Li, Teng Li, Feifei Shan, Wengang Zheng

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Improving I-ELM structure through optimal addition of hidden nodes: Compact I-ELM by Sunghyo Seo, Jongkwon Jo, Muhammad Hamza, Youngsoon Kim

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Multi-Satellite Task Parallelism via Priority-Aware Decomposition and Dynamic Resource Mapping by Shangpeng Wang, Chenyuan Zhang, Zihan Su, Limin Liu, Jun Long

“…First, we introduce a graph theoretic model to represent the task dependency and priority relationships explicitly, combined with a novel algorithm for task decomposition. Meanwhile, we construct a resource allocation model based on game theory and combine it with deep reinforcement learning to achieve resource mapping in a dynamic environment. …”
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General models for predicting the liquid thermal conductivity of fatty acid esters based on smart methods by Chou-Yi Hsu, Ahmad Mohsin, Ramdevsinh Jhala, Nagaraj Patil, Debasish Shit, V.K. Bupesh Raja, Manoj Kumar Ojha, Abinash Mahapatro, Deepak Gupta, Fereydoon Ranjbar

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Teacher training for the future: insights from a Needs Analysis on Digital Technologies and Artificial Intelligence by Letizia Cinganotto, Giorgia Montanucci

“…The paper concludes with a reflection on the implications of these findings for future teacher training programs, emphasizing the necessity of a flexible, context-responsive, and technology-integrated training framework to equip educators with constructive, meaningful, and future-oriented learning. …”
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L’alphabet latin comme moyen de mobilisation du plurilinguisme chez les étudiants thaïlandais en langues étrangères by Niparat Imsil

“…Since its inception, educational institutions at both school and university levels have had the freedom to diversify their foreign language programs. Thai learners were given the liberty to choose the languages they wanted to learn within their schools or universities. …”
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Individual Segmentation of Intertwined Apple Trees in a Row via Prompt Engineering by Herearii Metuarea, François Laurens, Walter Guerra, Lidia Lozano, Andrea Patocchi, Shauny Van Hoye, Helin Dutagaci, Jeremy Labrosse, Pejman Rasti, David Rousseau

“…In orchards specially constructed for variety testing or breeding programs, computer vision tools should be able to extract phenotypical information form each tree separately. …”
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Una valutazione col pilota automatico? Una riflessione sulle cose che possiamo guadagnare e quelle che rischiamo di perdere impiegando l’intelligenza artificiale nei processi valut... by Cristiano Corsini

“…A REFLECTION ON THE THINGS WE CAN GAIN AND THOSE WE RISK LOSING BY USING ARTIFICIAL INTELLIGENCE IN EVALUATION PROCESSES Abstract The paper analyses pros and cons of using generative artificial intelligence in the students’ learning assessment process. In particular, the article focuses on the possibility offered by programs such as ChatGPT to reduce the time devoted to complex operations such as construction of multiple-choice questions or classification of open-ended answers. …”
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Intégration d'un échange interculturel hybride dans un programme d’anglais pour non-spécialistes by Simon Ensor, Marcin Kleban, Christine Blanchard Rodrigues

“…We use Activity Theory (Engeström, 2000 ; Mwanza & Engeström, 2003) and a diverse data set to analyse qualitatively the module’s design, the interactions and perceptions of participants, and the module’s integration into the teaching program. Third Generation Activity Theory (Engeström, 2009 ; Bradshaw et al., 2020) enables us to deconstruct the module’s hybrid design, to identify the means by which the teachers and students construct "Third Spaces'' (Gutiérrez et al., 1999) which enable the bridging and crossing of boundaries between complementary and at times contradictory formal and informal activity systems. …”
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Exploring current trends in agricultural commodities forecasting methods through text mining: Developments in statistical and artificial intelligence methods by Luana Gonçalves Guindani, Gilson Adamczuk Oliveirai, Matheus Henrique Dal Molin Ribeiro, Gabriel Villarrubia Gonzalez, José Donizetti de Lima

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Empirical studies on the impact of filter‐based ranking feature selection on security vulnerability prediction by Xiang Chen, Zhidan Yuan, Zhanqi Cui, Dun Zhang, Xiaolin Ju

“…Abstract Security vulnerability prediction (SVP) can construct models to identify potentially vulnerable program modules via machine learning. …”
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Career path prediction using XGBoost Model and students’ academic results by Hong Quan Nguyen, Duc Dang Khoi Nguyen, Tan Duy Le, An Mai, Kha Tu Huynh

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Career path prediction using XGBoost Model and students’ academic results by Hong Quan Nguyen, Duc Dang Khoi Nguyen, Tan Duy Le, An Mai, Kha Tu Huynh

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Intelligent Data Processing Methods for Studying the Influence of the Environment on the Morbidity of the Population in Moscow by T. V. Zolotova, A. S. Marunko

“…A web interface has been developed to automate the analysis of new data using constructed machine learning models used to conduct regression analysis to create a binary logistic model (prediction based on collected data of people with socially significant diseases) and a multiclass classification models (prediction based on collected data, which it is the disease that can be detected in a person). …”
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Identifying common disease trajectories of Alzheimer’s disease with electronic health recordsResearch in context by Mingzhou Fu, Sriram Sankararaman, Bogdan Pasaniuc, Keith Vossel, Timothy S. Chang

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A Novel Data Analytics Methodology for Discovering Behavioral Risk Profiles: The Case of Diners During a Pandemic by Thouraya Gherissi Labben, Gurdal Ertek

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AI based predictive acceptability model for effective vaccine delivery in healthcare systems by Muhammad Shuaib Qureshi, Muhammad Bilal Qureshi, Urooj Iqrar, Ali Raza, Yazeed Yasin Ghadi, Nisreen Innab, Masoud Alajmi, Ayman Qahmash

“…Using the LightGBM algorithm, the proposed model constructed on the basis of different machine-learning procedures achieved 98% accuracy to accurately predict the acceptability of vaccines included in the immunization program. …”
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