Acceptance and Use of Digital Technology by Students in India After the Covid-19 Pandemic by Chandra B P Singh

“…The findings focused on learning styles that would help bridge a gap between acceptance and use of digital technology for school learning programme. …”
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Modelling the liver’s regenerative capacity across different clinical conditions by Anh Thu Nguyen-Lefebvre, Soumita Ghosh, Cristina Baciu, Bima J. Hasjim, Sara Naimimohasses, Graziano Oldani, Elisa Pasini, Michael Brudno, Nazia Selzner, Jeffrey Wrana, Mamatha Bhat

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Interrogating patient-centredness in undergraduate medical education using an integrated behaviour model by Elize Archer, E M Bitzer, B B Van Heerden

“…The article suggests a framework that can assist programme developers to conceptualise the teaching and learning of patient-centredness across an undergraduate curriculum. …”
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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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Clinical application values of a novel synthetic training simulator for bulbar urethral anastomosis by Jing‐Dong Xue, Ping Zhang, Yue‐Min Xu, Ying‐Long Sa, Hui‐Quan Shu, Lin Wang, Hong Xie, Chao Li, Wei Zhang, Chao Feng, Deng‐Long Wu

“…Interns, novice residents, and fellows inexperienced with urethral reconstruction (n = 10, 5, 5) from different medical centres were invited to participate in the training programme. Two reconstructive urology experts monitored each practice. …”
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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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Automatic Potato Crop Beetle Recognition Method Based on Multiscale Asymmetric Convolution Blocks by Jingjun Cao, Xiaoqing Xian, Minghui Qiu, Xin Li, Yajie Wei, Wanxue Liu, Guifen Zhang, Lihua Jiang

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EU-GAN: A root inpainting network for improving 2D soil-cultivated root phenotyping by Shangyuan Xie, Jiawei Shi, Wen Li, Tao Luo, Weikun Li, Lingfeng Duan, Peng Song, Xiyan Yang, Baoqi Li, Wanneng Yang

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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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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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Evaluating the feasibility of automating dataset retrieval for biodiversity monitoring by Alexandre Fuster-Calvo, Sarah Valentin, William C. Tamayo, Dominique Gravel

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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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