The Emerging Role of Implementing Machine Learning in Food Recommendation for Chronic Kidney Diseases Using Correlation Analysis by Sachin Gupta, Neeraj Garg, Divyanshu Sinha, Babita Yadav, Bhoomi Gupta, Shahajan Miah

“…Using an artificial intelligence system that can effectively aid in CKD detection in time and suggest the required food nutrition for its treatment and recovery would reap immense benefits for healthcare professionals as well as the patient. ML is a part of AI technology that has been used for effective medical development. …”
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Artificial intelligence as a factor revolutionizing higher education by Yu. B. Melnyk, I. S. Pypenko

“…Conclusions: The new technologies of generative artificial intelligence have been the factors that have revolutionised the industry of higher education. A new “Human-AI” system has emerged that is fundamentally changing the rules for training young professionals. …”
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Evaluation of the effectiveness of an expressway sand protection system in a gobi region—case study of the Ceke–Ejina expressway, Ejina banner, China by Zhengyi Yao, Jianhua Xiao, Xixi Ma, Jianjun Qu, Xuefeng Hong

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High-Resolution Safety Verification for Evasive Obstacle Avoidance in Autonomous Vehicles by Aliasghar Arab, Milad Khaleghi, Alireza Partovi, Alireza Abbaspour, Chaitanya Shinde, Yashar Mousavi, Vahid Azimi, Ali Karimmoddini

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Cuentacuentos basado en IA generativa para promover la inclusión de personas con discapacidades by Keren Mitsue Ramírez Vergara, Asdrúbal López-Chau, Rafael Rojas Hernández

“…Se identificó que la voz que mejor se adapta para contar los cuentos es Onyx de la TTS de OpenAI. Sin embargo, se observaron errores de pronunciación en todas las voces del modelo TTS. …”
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Detection of Intracranial Hemorrhage from Computed Tomography Images: Diagnostic Role and Efficacy of ChatGPT-4o by Mustafa Koyun, Zeycan Kubra Cevval, Bahadir Reis, Bunyamin Ece

“…<b>Background/Objectives:</b> The role of artificial intelligence (AI) in radiological image analysis is rapidly evolving. …”
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Technical, social, psychological and ethical aspects of human-robot collaboration: a case study of the 'Robin Heart' medical robot by Małgorzata Suchacka, Mariusz Wojewoda, Zbigniew Nawrat, Artur Domurat, Angelika Magdalena Pabian

“…The third agent is a robot equipped with AI. It can be treated in two ways: as a significant "extension" of human abilities, or as an autonomous entity of medical action. …”
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A review of photovoltaic/thermal (PV/T) technology applied in building environment control by Xuhui Cao, Niansi Li, Yulin Li, Lei Che, Bendong Yu, Huifang Liu

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A two‐stage reactive power optimization method for distribution networks based on a hybrid model and data‐driven approach by Ghulam Abbas, Wu Zhi, Aamir Ali

“…The computational limitations of the traditional algorithms and the development of artificial intelligence (AI) based technologies have promoted the advancement of hybrid model‐data‐driven algorithms. …”
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Modeling the modulation of beta oscillations in the basal ganglia by dual-target optogenetic stimulation by Xiaomin Wang, Ying Yu, Qingyun Wang

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A review of biodegradable biliary stents made of magnesium metals: Current progress and future trends by Ling Liu, Tuo En Liu, Tan To Cheung

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The complexity of mucosal damage in gastroesophageal airway reflux disease: A molecular perspective by Sheng Chen, Min Wang, Shuai Zhang, Xin Huang, Xinke Sui, Dou Li, Changqing Zhong, Wei Wu

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Learning Dendritic-Neuron-Based Motion Detection for RGB Images: A Biomimetic Approach by Tianqi Chen, Yuki Todo, Zhiyu Qiu, Yuxiao Hua, Delai Qiu, Xugang Wang, Zheng Tang

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Honest Computing: achieving demonstrable data lineage and provenance for driving data and process-sensitive policies by Florian Guitton, Axel Oehmichen, Étienne Bossé, Yike Guo

“…Addressing use cases in many fields, from AI model protection and ethical layering to digital currency formation for finance and banking, trading, and healthcare, this foundational layer approach can help define new standards for appropriate data custody and processing.…”
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Federated Digital Twins: A Scheduling Approach Based on Temporal Graph Neural Network and Deep Reinforcement Learning by Young-Jin Kim, Hanjin Kim, Beomsu Ha, Won-Tae Kim

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Amino Acid Profile and Mineral Content of Cultivated Snails <i>Acusta despecta</i> and <i>Achatina fulica</i>: Assessing Their Potential as Nutritional Source by Sampat Ghosh, Min-Jung Kim, Sukjun Sun, Chuleui Jung

“…Notably, <i>A. despecta</i> provided over 100% of the RDA/AI for calcium, phosphorus, copper, and manganese and met 94.5% of the iron RDA for women. …”
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Data driven prediction of fragment velocity distribution under explosive loading conditions by Donghwan Noh, Piemaan Fazily, Songwon Seo, Jaekun Lee, Seungjae Seo, Hoon Huh, Jeong Whan Yoon

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Normalized difference vegetation index prediction using reservoir computing and pretrained language models by John Olamofe, Ram Ray, Xishuang Dong, Lijun Qian

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Multivariate stochastic modeling for transcriptional dynamics with cell-specific latent time using SDEvelo by Xu Liao, Lican Kang, Yihao Peng, Xiaoran Chai, Peng Xie, Chengqi Lin, Hongkai Ji, Yuling Jiao, Jin Liu

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Research advances in Pimpinella thellungiana: Nutrients, bioactive compounds, and functional properties benefitting livestock by Shuxian Zhang, Minglu Yang, Tao Xu, Qiongxian Yan, Allan Degen, Xiaoling Zhou

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