A critical discourse analysis of English farewell addresses by Nguyễn Thị Quỳnh Hoa, Ngô Thị Ngọc Anh

“…The framework of critical discourse analysis (CDA) proposed by Fairclough with a three-stage procedure combined with Halliday’s Functional Grammar was applied. The research data were four English farewell addresses made by the Presidents of the United States in the first two decades of the 21st century. …”
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Development and validation of a diabetes mellitus and prediabetes risk prediction function for case finding in primary care in Hong Kong: a cross-sectional study and a prospective... by Kathryn Choon Beng Tan, Carlos King Ho Wong, Esther Yee Tak Yu, Cindy Lo Kuen Lam, Emily Tsui Yee Tse, Weng Yee Chin, David Vai Kiong Chao, Eric Ho Man Tang, Weinan Dong, Will Ho Gi Cheng, Yuqi Mi, Laura Elizabeth Bedford, Welchie Wai Kit Ko

“…This study aims to develop and validate a risk prediction function that incorporates modifiable lifestyle factors to detect DM and pre-DM in Chinese adults in primary care.Methods and analysis A cross-sectional study to develop DM/Pre-DM risk prediction functions using data from the Hong Kong’s Population Health Survey (PHS) 2014/2015 and a 12-month prospective study to validate the functions in case finding of individuals with DM/pre-DM. …”
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Les contrats de travail en Italie et en France : un enjeu plurilingue pour les entreprises ? by Enrica Bracchi, Carolina Simoncini

“…The knowledge of the vocabulary of labour contracts in the language/culture of countries which are commercial partners is an important skill when one aims to obtain fruitful collaborations and a better transparency of economic relations.In this paper, we address the question of teaching/learning of terms which are related to contracts between the employer and the employee, in the perspective of functional multilingualism. …”
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eminus — Pythonic electronic structure theory by Wanja Timm Schulze, Sebastian Schwalbe, Kai Trepte, Stefanie Gräfe

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A Self-Supervised Adversarial Deblurring Face Recognition Network for Edge Devices by Hanwen Zhang, Myun Kim, Baitong Li, Yanping Lu

“…This study aims to construct a fast and accurate facial recognition model based on novel adversarial learning and deblurring theory to enhance its performance in human activity recognition. …”
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Osteoarthritis Classification Using Hybrid Quantum Convolutional Neural Network by Devansh Tikariha, Abdul Moomin, D. Jeyamani, P. Rukmani

“…The model utilises the Swish activation function, which combines smoothness and nonlinearity to enhance learning efficiency and gradient flow, which are critical in complex diagnostic tasks. …”
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When mimetics meets chitosan by Yilin Guo, Xiaoyan Yu

“…The concept of mimetics can be defined in terms of “learning from others” or “inspired by others”, and indeed its essence is “universal”. …”
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Cannabinol (CBN) alleviates age-related cognitive decline by improving synaptic and mitochondrial health by Nawab John Dar, Antonio Currais, Taketo Taguchi, Nick Andrews, Pamela Maher

“…Our results show that CBN significantly improves spatial learning and memory, with more pronounced cognitive benefits observed in female mice. …”
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Liquid‐Solid Combination Memristors with Switchable Resistance by Libing Duan, Xue Han, Ruochen Pei, Qianwen Peng, Shenghui Guo, Yangyang Li, Wangchang Geng

“…The benefit of using a microfluidic channel is that the memristive characteristics can be adjusted by changing the electrolyte solution in real‐time. The neuromorphic functions such as long‐term plasticity, Spiking‐Rate‐Dependent Plasticity (SRDP), and behavior associated with “learning experiences”are demostrated in the devices. …”
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NF-GAT: A Node Feature-Based Graph Attention Network for ASD Classification by Shuaiqi Liu, Beibei Liang, Siqi Wang, Bing Li, Lidong Pan, Shui-Hua Wang

“…<italic>Methods:</italic> we propose a node features graph attention network (NF-GAT) for learning functional connectivity (FC) features to achieve ASD diagnosis. …”
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Development of a Fifteen-Minute City Index Using Walkability Scores and Age-Classified Population: The Case of Pasig City, Metro Manila, Philippines by Carlo Angelo R. Mañago, Marielle G. Nasalita, Cesar V. Saveron, Ynah Andrea D. Sunga, Alexis Richard C. Claridades

“…This study proposes an FMC index that measures how close a specific area is to achieving the 15-min accessibility to the six social functions (living, working, supplying, caring, learning, and enjoying). …”
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Two-Stage Hybrid Machine Learning Model for High-Frequency Intraday Bitcoin Price Prediction Based on Technical Indicators, Variational Mode Decomposition, and Support Vector Regre... by Samuel Asante Gyamerah

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Effectiveness of a School-Based Physical Activity Intervention on Cognitive Performance in Danish Adolescents: LCoMotion-Learning, Cognition and Motion - A Cluster Randomized Contr... by Jakob Tarp, Sidsel Louise Domazet, Karsten Froberg, Charles H Hillman, Lars Bo Andersen, Anna Bugge

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Comprehensive transcriptomic analysis integrating bulk and single-cell RNA-seq with machine learning to identify and validate mitochondrial unfolded protein response biomarkers in... by Lu Zhang, Lei Yue, Peng Jia, Peng Jia, Ziqi Cheng, Jiwen Liu

“…Next, the mechanisms and functions related to the biomarkers were explored by enrichment analysis and immune infiltration. …”
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Machine Learning in Cyber-Physical Systems and Manufacturing Singularity – it Does Not Mean Total Automation, Human Is Still in the Centre: Part I – Manufacturing Singularity and a... by Goran D. PUTNIK, Vaibhav SHAH, Zlata PUTNIK, Luis FERREIRA

“…Based on the exposed considerations, a generic architecture of intelligent CPS, with embedded ML functional modules in multiple learning loops, in order to evaluate way of use of ML functionality in the context of CPPS/CPS. …”
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Deep Reinforcement Learning-Based Secrecy Rate Optimization for Simultaneously Transmitting and Reflecting Reconfigurable Intelligent Surface-Assisted Unmanned Aerial Vehicle-Integ... by Jianwei Wang, Shuo Chen

“…To address this issue, we adopt a multi-agent deep reinforcement learning (MADRL) approach, which allows agents to interact with the environment to learn optimal strategies, effectively dealing with complex environments. …”
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Exploring the role of organisational learning culture in the relationship between teamwork self-efficacy and employee satisfaction: Insights from the Indian IT Sector across genera... by A. Shakti Priya, B. Prabu Christopher

“…This study examines the functions of organisational learning culture (OLC) in mediating and moderating the association between teamwork self-efficacy (TSE) and ES. …”
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Comprehensive analysis of scRNA-seq and bulk RNA-seq data via machine learning and bioinformatics reveals the role of lysine metabolism-related genes in gastric carcinogenesis by Yongfu Shao, Chujia Chen, Xuan Yu, Jianing Yan, Junming Guo, Guoliang Ye

“…Methods The roles of lysine metabolism-related genes in GC were investigated by in-depth analysis of single-cell RNA sequencing (scRNA-seq) and bulk RNA sequencing (RNA-seq) data via machine learning and multiple bioinformatics methods and confirmed by multiple cell and molecular biology methods. …”
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Development and usability of a traditional game simulation module with augmented reality technology (AR-SiGaSTEM) in online learning to strengthen STEM skills among students by Mazlini Adnan, Laili Farhana Md Ibharim, Yoke Seng Wong, I-van Yee, Sukirman

“…The objectives were i) to identify teachers' perspectives on accepting AR-integrated teaching modules for online learning; ii) to develop an AR-SiGaSTEM module and game with content, functions and features suitable for online STEM learning; and iii) to evaluate the module's usability in teaching to enhance STEM skills across the curriculum. …”
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Machine learning–guided single-cell multiomics uncovers GDF15-driven immunosuppressive niches in NSCLC: A translational framework for overcoming anti-PD-1 resistance by Xianfei Zhang, Zhengxin Yin, Xueyu Chen, Nengchong Zhang, Shengjia Yu, Congcong Zhu, Lianggang Zhu, Liulan Shao, Bin Li, Runsen Jin, Hecheng Li

“…We integrated multiomics profiling with machine learning to systematically identify determinants of ICB efficacy. …”
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