Multidisciplinary analysis of the prognosis and biological function of NUBPL in gastric cancer by Luqian Liu, Fengyu Zhang, Jiaye Yu, Pingping Dong, Jing Deng, Weiwei Liu, Xinlei Cao, Juanjuan Huang, Xiaoming Lin, Xiangyang Xue

“…Disulfidptosis was first proposed in 2023 as a novel programmed cell death mode associated with the cytoskeleton. …”
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Spatial distribution prediction of pore pressure based on Mamba model by Xingye Liu, Xingye Liu, Bing Liu, Wenyue Wu, Qian Wang, Yuwei Liu

“…IntroductionThe pore pressure of formations is a critical factor in assessing reservoir stability, designing drilling programs, and predicting production dynamics. Traditional methods often rely on limited well-logging data and empirical formulas to derive one-dimensional formation pressure models, which are inadequate for accurately reflecting the three-dimensional distribution of pore pressure in complex geological structures.MethodsTo address this challenge, this study leverages the temporal characteristics of well-logging and seismic data, employing the Mamba technique in conjunction with high-precision seismic inversion results, to construct a pore pressure prediction model. …”
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THE DEVELOPMENT OF PROFESSIONAL-PEDAGOGICAL COMMUNICATION COMPETENCE IN DOCTORS OF PHILOSOPHY IN PROFESSIONAL EDUCATION: CONCEPTUAL APPROACHES, CONTENT, AND TECHNOLOGICAL TOOLS by Nataliia Volkova, Olha Lebid, Oleh Lavnikov

“…Their combination fosters a supportive learning environment that stimu- lates communicative engagement among postgraduate students. …”
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Remote sensing applications for managing a large-scale restoration dynamics project throughout the City of Gold Coast conservation estate by Jean-Marc Hero, Luke Shoo, Michael Duncan, Darren Roche, Jesse Kenny, Howard Taylor, Tim Robson, Sanjeev Kumar Srivastava, Josh Veitch-Michaelis

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Exploring novel furochochicine derivatives as promising JAK2 inhibitors in HeLa cells: Integrating docking, QSAR-ML, MD simulations, and experiments by Duangjai Todsaporn, Kamonpan Sanachai, Chanat Aonbangkhen, Athina Geronikaki, Victor Kartsev, Boris Lichitsky, Andrey Komogortsev, Phornphimon Maitarad, Thanyada Rungrotmongkol

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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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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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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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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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