The clinical utility and safety of biomarker-guided immunosuppression withdrawal in liver transplantation: the LIFT prospective RCT by Julien Vionnet, Rosa Miquel, Juan G Abraldes, Juan-Jose Lozano, Pablo Ruiz, Miquel Navasa, Aileen Marshall, Frederik Nevens, William Gelson, Joanna Leithead, Steven Masson, Elmar Jaeckel, Richard Taubert, Phaedra Tachtatzis, Dennis Eurich, Kenneth Simpson, Eliano Bonaccorsi-Riani, James Ferguson, Alberto Quaglia, Maria Elstad, Marc Delord, Abdel Douiri, Alberto Sánchez-Fueyo

“…A previous clinical trial showed that a logistic regression algorithm including the transcript levels of a set of five genes in a liver biopsy could predict the success of immunosuppression withdrawal with high sensitivity and specificity. …”
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Fused Space in Architecture via Multi-Material 3D Printing Using Recycled Plastic: Design, Fabrication, and Application by Jiangjing Mao, Lawrence Hsu, Mai Altheeb

“…Furthermore, to generate diverse properties for the fused space, several nature-inspired forming algorithms are employed, including Swarm Behavior, Voronoi, Game of Life, and Shortest Path, to shape the building enclosure. …”
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Eco-efficient industrial processes: Leveraging ai-powered management for reduced environmental footprint by Mombekova Sandugash, Akhmetova Sabira, Shaimerdenova Guldana, Alisheva Sandugash, Mussirepova Elmira, Kydyrbekova Aizat, Torebay Nursaule

“…Artificial intelligence is the ability of artificial intelligence to perform actions that were previously only accessible to the human brain. Its algorithms work with data on the basis that tools perform tasks and solve named tasks. …”
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Learning-based early detection of post-hepatectomy liver failure using temporal perioperative data: a nationwide multicenter retrospective study in ChinaResearch in context by Kai Wang, Qian Yang, Kang Li, Shanhua Tang, Baoluhe Zhang, Xiangyun Liao, Shunda Du, Wenguang Fu, Zhiwei Li, Huanwei Chen, Haorong Xie, Pengxiang Huang, Jieyuan Li, Qiuting Wang, Haiqing Liu, Zhiwei Huang, Pheng Ann Heng, Xueshuai Wan, Chuanjiang Li, Weixin Si

“…Findings: Our model demonstrated high accuracy in detecting PHLF within the first 24 h after surgery, achieving an AUC of 0.952 in internal validation and 0.884 in external validation of the China cohort, outperforming other competing algorithms. In the MIMIC-IV cohort with challenging incomplete EHR data, our model had an AUC of 0.654, which was still superior to alternative algorithms, indicating generalization potential for the Western population. …”
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Design of a Heterogeneous-Based Network Intrusion Detection System and Compiler by Zhigui Lin, Xiaofeng Zhang, Qi Liu, Jun Cui

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ASATM: Automated security assistant of threat models in intelligent transportation systems by Mohammad Ali Ramazanzadeh, Behnam Barzegar, Homayun Motameni

“…The problem is that the ITS vulnerabilities may considerably harm the life quality and safety status of human beings living in smart cities. …”
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Explainable AI supported hybrid deep learnig method for layer 2 intrusion detection by Ilhan Firat Kilincer

“…Although this situation has many positive effects on daily life, the security vulnerabilities brought about by digitalization continue to be a major concern. …”
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A crowdsensing-based framework for sound and vibration data analysis in smart urban environments by Boban DAVIDOVIC, Sanja DEJANOVIC, Maja DAVIDOVIC

“…Key features of our system include data acquisition through mobile crowdsensing application, advanced signal processing algorithms for noise and vibration identification, and the integration of geospatial information to provide location-specific context. …”
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Design of the Urban Lighting Control System Based on Optical Multisensor Technology and the GM Model by Weili Wu, Xiang Tang

“…This conclusively demonstrates the efficacy of the paper’s proposed design solution, which integrates optical multisensor technology with sophisticated control algorithms and data analysis to improve the quality of life in urban areas by boosting the efficiency and sustainability of the urban lighting system.…”
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Tuning into urban birdsong: enhancing nature connectedness with an AI-powered wearable by Zhuying Li, Si Cheng, Xiaoqing Sun, Xipei Ren, Yan Wang, Min-Ling Zhang

“…By utilizing machine learning algorithms, GoChirp recognizes bird sounds in the environment and provides haptic feedback that mimics the bird flapping, directing users’ attention to avian life and fostering a heightened awareness and connection to nature. …”
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DESIGNING AND EFFICIENCY EFFECT OF AUTOMATIC BALL-CLEANING SYSTEM FOR CONDENSER 180-KTsS-1 OF TURBINE Т-180/210-130-1 LMZ. Part 1 by Yu. A. Zenovich-Leshkevich-Ol’pinskiy, A. Yu. Naumov, A. Yu. Zenovich-Leshkevich-Ol’pinskaya

“…The authors consider developed algorithms of data processing and designed system control of the condenser cleaning that allowed realizing its operation in automatic mode.…”
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Virtual Electroencephalogram Acquisition: A Review on Electroencephalogram Generative Methods by Zhishui You, Yuzhu Guo, Xiulei Zhang, Yifan Zhao

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Modern Methods for Diagnosing Faults in Rotor Systems: A Comprehensive Review and Prospects for AI-Based Expert Systems by Oleksandr Roshchupkin, Ivan Pavlenko

“…Some techniques like the vibration signal analysis method, spectral analysis, thermography, ultrasound diagnosis, and machine learning algorithms for predicting failure are of particular interest among them. …”
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Scalable 3D reconstruction for X-ray single particle imaging with online machine learning by Jay Shenoy, Axel Levy, Kartik Ayyer, Frédéric Poitevin, Gordon Wetzstein

“…Existing X-ray single particle reconstruction algorithms, which estimate the particle orientation for each image independently, are slow and memory-intensive when handling the massive datasets generated by emerging free-electron lasers. …”
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Control problem for the impulse process under stochastic optimization procedure and Levy conditions by Ya. M. Chabanyuk, A. V. Nikitin, U. T. Khimka

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Measuring the impact of technological innovation, green energy, and sustainable development on the health system performance and human well-being: Evidence from a machine learning-... by Alaeddine Mihoub, Montassar Kahia, Mohannad Alswailim

“…Health performance and well-being are crucial elements of Saudi Arabia's Vision 2030, aiming to improve the overall quality of life and promote a prosperous community. Within this context, this study intended to examine the impact of recent innovations, logistical measures, Information and Communication Technology (ICT) diffusion, environmental quality improvements, economic growth, and green (renewable) energy exploitation on health performance and well-being, in Saudi Arabia from 1990 to 2022, by implementing machine learning models (random forest and gradient boosting) and regression algorithms (ridge and lasso). …”
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The Invisible World of Images. From “Nonhuman” to “Undigital” Photography in Joanna Zylinska’s Reflections by Piotr Zawojski

“…In her latest proposals addressing the issues of the functioning of art in the era of algorithmic systems, the author develops the concept of undigital photography, which constitutes an extension of thinking about those manifestations of photography that are not of/by/for the human. …”
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Photoplethysmography and Artificial Intelligence for Blood Glucose Level Estimation in Diabetic Patients: A Scoping Review by Sara Lombardi, Leonardo Bocchi, Piergiorgio Francia

“…Only publications concerning PPG signal analysis using AI algorithms for noninvasive estimation of BGL in patients with diabetes were considered. …”
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Analyzing the interaction of artificial intelligence and the formation of architectural design ideas by Negar Zargaran khoozany, Leila Zare

“…The results of this redesign showed that the use of this tool helps architects' ideation, and it was concluded that through big data analysis, machine learning algorithms, and other advanced technologies, artificial intelligence can improve the design process and enable architects. to achieve more creative and high-quality solutions. …”
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A fast calculation approach for thermal distribution of aircraft piston pumps based on finite difference method by Jiming MA, Haolun NING

“…Thermal distribution in both solid and fluid domains critically affects piston-pump performance and service life. Traditional thermal analysis methods typically employ time-consuming finite element simulations. …”
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