A CT-based machine learning model for using clinical-radiomics to predict malignant cerebral edema after stroke: a two-center study by Lingfeng Zhang, Gang Xie, Yue Zhang, Yue Zhang, Junlin Li, Junlin Li, Wuli Tang, Wuli Tang, Ling Yang, Ling Yang, Kang Li

“…PurposeThis research aimed to create a machine learning model for clinical-radiomics that utilizes unenhanced computed tomography images to assess the likelihood of malignant cerebral edema (MCE) in individuals suffering from acute ischemic stroke (AIS).MethodsThe research included 179 consecutive patients with AIS from two different hospitals. …”
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Impact of skin sensitivity mechanisms on sebum secretion: Management strategies for oily sensitive skin by Yijie Du, Xiaokai Li, Siqi Zhao, Xiaoyang Zheng, Wenyi Zhu, Jianhua Zhang, Hong Meng, Yinmao Dong

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Expression‐based machine learning models for predicting plant tissue identity by Sourabh Palande, Jeremy Arsenault, Patricia Basurto‐Lozada, Andrew Bleich, Brianna N. I. Brown, Sophia F. Buysse, Noelle A. Connors, Sikta Das Adhikari, Kara C. Dobson, Francisco Xavier Guerra‐Castillo, Maria F. Guerrero‐Carrillo, Sophia Harlow, Héctor Herrera‐Orozco, Asia T. Hightower, Paulo Izquierdo, MacKenzie Jacobs, Nicholas A. Johnson, Wendy Leuenberger, Alessandro Lopez‐Hernandez, Alicia Luckie‐Duque, Camila Martínez‐Avila, Eddy J. Mendoza‐Galindo, David Cruz Plancarte, Jenny M. Schuster, Harry Shomer, Sidney C. Sitar, Anne K. Steensma, Joanne Elise Thomson, Damián Villaseñor‐Amador, Robin Waterman, Brandon M. Webster, Madison Whyte, Sofía Zorilla‐Azcué, Beronda L. Montgomery, Aman Y. Husbands, Arjun Krishnan, Sarah Percival, Elizabeth Munch, Robert VanBuren, Daniel H. Chitwood, Alejandra Rougon‐Cardoso

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Advances and perspectives in genetic expression and operation for the oleaginous yeast Yarrowia lipolytica by Mengchen Hu, Jianyue Ge, Yaru Jiang, Xiaoman Sun, Dongshen Guo, Yang Gu

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Comparing New Wireless Sensor Network Protocols through Simulation and Data Analysis by Himanshu Agarwal, Atul Pratap Singh, Ajeet Singh, Amit Kumar, Pratik K. Agrawal, S. Saranya

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Heat transfer analysis of deep coaxial geothermal heat exchangers: Insights into heat-flux distribution on borehole wall by Shurun Wang, Xianhua Deng, Jing Wang, Min Li

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An Artificial Intelligence Generated Automated Algorithm to Measure Total Kidney Volume in ADPKD by Jonathan Taylor, Richard Thomas, Peter Metherall, Marieke van Gastel, Emilie Cornec-Le Gall, Anna Caroli, Monica Furlano, Nathalie Demoulin, Olivier Devuyst, Jean Winterbottom, Roser Torra, Norberto Perico, Yannick Le Meur, Sebastian Schoenherr, Lukas Forer, Ron T. Gansevoort, Roslyn J. Simms, Albert C.M. Ong

“…Here, we report an artificial intelligence (AI)-generated method for routinely measuring total kidney volume (TKV). …”
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A Novel Machine Learning-based Diagnostic Algorithm for Detection of Onychomycosis through Nail Appearance by Serkan Düzayak, Muhammed Kürşad Uçar

“…Today, new technologies are needed to detect onychomycosis via AI-based ML to reduce the clinician and laboratory-induced error rate and increase diagnostic sensitivity and reliability. …”
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Osamu Tezuki’s Manga Crime and Punishment: Patterns and Paradoxes of Intermediality by Olga S. Kryukova, Maria B. Rarenko

“…Tezuka, demonstrating a deep knowledge of Russian culture, Fyodor Dostoevsky’s and Lev Tolstoy’s works, uses Disney animation techniques when creating manga, as becomes evident when analyzing the actual visual techniques of creating the image of Raskolnikov. …”
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Using Large Language Models for the Interpretation of Building Regulations by Stefan Fuchs, Michael Witbrock, Johannes Dimyadi, Robert Amor

“…The recent rapid uptake of building information models (BIM) in the construction industry has created more opportunities for automated compliance checking (ACC). …”
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Impact of the Regional Comprehensive Economic Partnership (RCEP) implementation on agricultural sector in regional countries: A global value chain perspective by Shaowen Xu, Jingfei Qian, Yangfen Chen, Huijie Zhang

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Gas pipeline leakage detection based on multiple multimodal deep feature selections and optimized deep forest classifier by Eddie Zhang, Evan Zhang

“…This lightweight AI architecture is successfully deployed on a soft robotic system for real-time gas leak detection. …”
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Data on the Ecological Composition and Functional Distribution of Insect Communities in Onshore Wind Farms by Jin Lee, Sung-soo Kim, Do-hun Lee

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Deep Learning for Risky Cardiovascular and Cerebrovascular Event Prediction in Hypertensive Patients by Francesco Goretti, Ali Salman, Alessandra Cartocci, Alessio Luschi, Leandro Pecchia, Massimo Milli, Ernesto Iadanza

“…Heart rate variability (HRV), known to be an efficient indicator of cardiac health often used with artificial intelligence (AI), was used to train and optimize custom-built deep learning (DL) models. …”
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Northern goshawk optimization for optimal reactive power compensation in photovoltaic low-voltage radial distribution networks by Shaikh Sohail Mohiyodin, Rajesh Maharudra Patil, Dr MS Nagaraj

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Informational Support for Agricultural Machinery Management in Field Crop Cultivation by Chavdar Z. Vezirov, Atanas Z. Atanasov, Plamena D. Nikolova, Kalin H. Hristov

“…The approach relies on spreadsheets and free AI-assisted platforms, proving to be a low-cost, accessible solution for mid-sized farms lacking advanced digital infrastructure. …”
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A Qualitative and Quantitative Method for Studying Religious Virtual Communities: The Case of the Salafi United Kingdom’s Community on Twitter (X) by Eli Alshech, Roni Ramon-Gonen, Onn Shehory, Yossi Mann

“…The computerized model presented here harnesses machine learning techniques to accurately identify popular Salafi writings on social media and to distinguish them from the writings of Muslims from other denominations. Creating an AI-supported model to distinguish between writings on social media that pertain to two different Islamic denominations is a highly difficult task. …”
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Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning by Seongjin Choi, Gahee Kim, Yong-Geun Oh

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Survey of Blockchain-Based Applications for IoT by Ahmad Enaya, Xavier Fernando, Rasha Kashef

“…Future directions emphasize integrating blockchain systems with artificial intelligence (AI), machine learning (ML), and edge computing, offering groundbreaking capabilities to further revolutionize IoT ecosystems. …”
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Against the Mind of a Mindless Age, the Power of Computers and the Destruction of Reason: Responsibility for a Humane Development of Technology and Society by Klaus Fuchs-Kittowski

“…There is a tendency in AI research to take and advance anti-Humanist positions. …”
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