Artificial intelligence in primary aldosteronism: current achievements and future challenges by Yisi Xu, Benjin Liu, Xuqi Huang, Xudong Guo, Ning Suo, Shaobo Jiang, Hanbo Wang

“…In subtype classification, AI algorithms achieve high predictive accuracy in differentiating PA subtypes through comprehensive analysis of clinical, imaging, and biochemical data, while simultaneously reducing reliance on invasive diagnostic procedures. …”
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Machine Learning to Assess Relatedness: The Advantage of Using Firm-Level Data by Giambattista Albora, Andrea Zaccaria

“…We also discuss the effect of using parameter optimization and community detection algorithms to identify clusters of related companies and products, finding that a partition into a higher number of blocks decreases the computational time while maintaining a prediction performance well above the network-based benchmarks.…”
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Facial emotion based smartphone addiction detection and prevention using deep learning and video based learning by C. Joseph, P. Uma Maheswari

“…The TMVM framework leverages Theory of Mind AI to analyze students’ facial emotions via smartphone cameras while watching videos. Based on detected emotions such as happiness, sadness, or anger, the system dynamically shuffles motivational videos using advanced algorithms like Fisher-Yates and Durstenfeld shuffling techniques to promote behavioral change. …”
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Innovative Business Models Towards Sustainable Energy Development: Assessing Benefits, Risks, and Optimal Approaches of Blockchain Exploitation in the Energy Transition by Aikaterini Papapostolou, Ioanna Andreoulaki, Filippos Anagnostopoulos, Sokratis Divolis, Harris Niavis, Sokratis Vavilis, Vangelis Marinakis

“…To optimally exploit blockchain, innovative business models need to be designed, identifying the opportunities emerging from unmet needs, while also considering potential risks so as to take action to overcome them. …”
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Critical load exceedances for North America and Europe using an ensemble of models and an investigation of causes of environmental impact estimate variability: an AQMEII4 study by P. A. Makar, P. Cheung, C. Hogrefe, A. Akingunola, U. Alyuz, J. O. Bash, M. D. Bell, R. Bellasio, R. Bianconi, T. Butler, H. Cathcart, O. E. Clifton, O. E. Clifton, A. Hodzic, I. Kioutsioukis, R. Kranenburg, A. Lupascu, A. Lupascu, J. A. Lynch, K. Momoh, J. L. Perez-Camanyo, J. Pleim, Y.-H. Ryu, R. San Jose, D. Schwede, D. Schwede, T. Scheuschner, M. W. Shephard, R. S. Sokhi, S. Galmarini

“…</p> <p>While most models showed the same changes in critical load exceedances as the ensemble between the 2 years, the spatial extent and magnitude of exceedances varied significantly between the models. …”
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Watch, Scroll, Repeat: How Interface Design Shapes Consumptive Curation Affordances on TikTok by Carlos Entrena-Serrano

“…While previous research has explored user experiences with TikTok’s algorithmic recommendations, there has been limited attention to how its interface shapes these interactions. …”
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Mapping the landscape of Artificial intelligence for serious games in Health: An enhanced meta review by Xiya Tao, Nicolás Sáenz-Lechón, Martina Eckert

“…Game control algorithms adapt the game environment and difficulty, while user assessment algorithms gather information about the player's state, such as performance, mood, or physiological data, to evaluate the treatment progress. …”
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Data source and utilization of artificial intelligence technologies in vascular surgery—a scoping review by Katarzyna Powezka, Katarzyna Powezka, Katarzyna Powezka, Karin Slater, David Brind, Michael Wall, Michael Wall, Georgios Gkoutos, Maciej Juszczak, Maciej Juszczak

“…NLP algorithms were described in 34 papers, while 115 and 193 papers focused on machine learning (ML) and deep learning (DL), respectively. …”
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Multi-Strategy Improvement of Coal Gangue Recognition Method of YOLOv11 by Hongjing Tao, Lei Zhang, Zhipeng Sun, Xinchao Cui, Weixun Yi

“…Compared to the mainstream YOLO target detection algorithms, the EBD-YOLO detection model achieves the highest mAP@0.5 while maintaining superior detection speed. …”
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RMVAD-YOLO: A Robust Multi-View Aircraft Detection Model for Imbalanced and Similar Classes by Keda Li, Xiangyue Zheng, Jingxin Bi, Gang Zhang, Yi Cui, Tao Lei

“…Aircraft detection technology plays a vital role in civilian applications, with significant attention being devoted to research on related algorithms in recent years. However, most existing research predominantly focuses on aircraft detection from a single top–down viewpoint, which constrains the applicability of detection technology across diverse scenarios. …”
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The impact of artificial intelligence on human resource management practices: An investigation by Thandukwazi R. Ncube, Kusangiphila K. Sishi, Jane P. Skinner

“…These include potential biases within AI algorithms, concerns about data privacy and over-surveillance of employees, along with exacerbating the ‘digital divide’ between those with access to technology and those without. …”
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Research Status and Progress of Acoustic Fire Extinguishing Technology by Xinyue Shi, Zhaojun Tian, Yi Lu, Qing Ye

“…Experimental results demonstrate that acoustic cavity focusing technology extends the effective fire suppression distance to 1.8 m while improving cooling efficiency by 10–20%. Integration with drone platforms and adaptive feedback systems enhances fire extinguishing energy efficiency by over 30%. …”
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Model order reduction of boiler system using nature-inspired metaheuristic optimization of PID controller by Anurag Singh, Shekhar Yadav, Nitesh Tiwari, Dinesh Kumar Nishad, Saifullah Khalid

“…The HHO-based approach improves overall performance by 15%, while SSO significantly reduces computational complexity by 65% while maintaining 98% system accuracy. …”
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A lightweight and optimized deep learning model for detecting banana bunches and stalks in autonomous harvesting vehicles by Duc Tai Nguyen, Phuoc Bao Long Do, Doan Dang Khoa Nguyen, Wei-Chih Lin

“…Developing algorithms to identify fruit cutting locations is important for the functionality of harvesting robots. …”
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Financial service composition with various privacy levels in multiple cloud environment by Xianmei Hua, Xinrong Zhan, Feng Li, Junwen Lu

“…To solve these challenges, a novel approach for financial service composition based on Quaternion Genetic Algorithms (QGA) is proposed. Our method optimizes the scheduling of cloud-based services to minimize execution time, energy consumption, and the file size transferred between clouds, while meeting specified privacy requirements. …”
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Digital culture in the light of educational processes. Ad vocem for the remarks and musings of Jordan Shapiro concerning the digital childhood by Łukasz Androsiuk, Małgorzata Obrycka

“…The aim of this article is to analyze Jordan Shapiro’s concept of digital childhood and to critically engage with some of its fundamental assumptions. While the authors share the conviction that digital culture plays a crucial role in both institutional and non-institutional education, they emphasize, more than Shapiro does, its structural conditions, including algorithmic control mechanisms and the commercialization of educational processes. …”
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Thermal damage detection of EAST internal component based on machine learning by Zhongfang Guan, Bin Zhang, Jian Liu, Jinping Qian, Xianzu Gong, Runze Chen, Zuhao Wang, Binfu Gao, Yutong Guo, Chuannan Xuan, Cong Cao, Tianqi Jia, Pan Li, Wenbin Liu, Wei Wang, Yunchan Hu, Yifan He, Kangjia Yang, Wenyi Lu, Chunyu He, the EAST team

“…The AI-based detection method provides a new solution to safeguarding the fusion device, while also offering potential avenues for integrating artificial intelligence technologies into EAST feedback control and operating systems in the future.…”
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All‐in‐one perovskite memristor with tunable photoresponsivity by Guan‐Hua Dun, Yuan‐Yuan Li, Hai‐Nan Zhang, Fan Wu, Xi‐Chao Tan, Ken Qin, Yi‐Chu He, Ze‐Shu Wang, Yu‐Hao Wang, Tian Lu, Shi‐Wei Tian, Dan Xie, Jia‐Li Peng, Xiang‐Shun Geng, Xiao‐Tong Zhao, Jia‐He Zhang, Yu‐Han Zhao, Xiaoyu Wu, Ning‐Qin Deng, Zheng‐Qiang Zhu, Yan Li, Xian‐Zhu Liu, Xing Wu, Weida Hu, Peng Zhou, Yang Chai, Mario Lanza, He Tian, Yi Yang, Tian‐Ling Ren

“…By mapping the algorithm parameters onto the photoresponsivity, we successfully performed both recognition and processing tasks based on the TPR memristor array. …”
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Numerical Investigation of Large Wood Evolution Characteristics Transported by Flash Floods by SONG Siyuan, FEI Gaogao, WANG Xiekang

“…The two-way coupling algorithm can reflect the influence of large wood on water flow, thereby allowing the analysis of backwater rise problems caused by logjams. …”
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Multi-parameter approach to evaluate the timing of memory status after 17DD-YF primary vaccination. by Christiane Costa-Pereira, Ana Carolina Campi-Azevedo, Jordana Grazziela Coelho-Dos-Reis, Vanessa Peruhype-Magalhães, Márcio Sobreira Silva Araújo, Lis Ribeiro do Vale Antonelli, Cristina Toscano Fonseca, Jandira Aparecida Lemos, Luiz Cosme Cote Malaquias, Matheus de Souza Gomes, Laurence Rodrigues Amaral, Maria Rios, Caren Chancey, Harold Richard Persi, Jorge Marcelo Pereira, Maria de Lourdes de Sousa Maia, Marcos da Silva Freire, Reinaldo de Menezes Martins, Akira Homma, Marisol Simões, Anna Yoshida Yamamura, Roberto Henrique Guedes Farias, Alessandro Pecego Martins Romano, Carla Magda Domingues, Pedro Luiz Tauil, Pedro Fernando Costa Vasconcelos, Iramaya Rodrigues Caldas, Luiz Antônio Camacho, Andrea Teixeira-Carvalho, Olindo Assis Martins-Filho

“…Multi-parameter approaches and decision-tree algorithms defined the EMCD8 and IL-5CD4 attributes as the top-two predictors with moderated performance. …”
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