Completeness of the Dynamics of the Attributes Values of Data in the Database DIM by A. N. Petrov, V. S. Roublev

“…To minimize the dependence from concrete language constructions, which describe OD-model algorithmic procedures, the reduction to the universal form – Turing machine is performed. …”
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Transactional configuration of innovative development of business ecosystem by E. V. Popov, A. D. Tikhonova, A. S. Zyrianov

“…This algorithm has been tested in the ENSONS company, serving as a testing ground for the research. …”
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Improving Freight Traffic Efficiency at Urban Intersections Using Heavy Vehicle Platooning by Mohammad D. Alahmadi, Ahmed S. Alzahrani

“…This study develops a platoon-based signal-optimization algorithm to reduce delays, minimize stops, and enhance traffic flow at intersections. …”
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Interpretable machine learning model of effective mass in perovskite oxides with cross-scale features by Changjiao Li, Zhengtao Huang, Hua Hao, Zhonghui Shen, Guanghui Zhao, Ben Xu, Hanxing Liu

“…The interpretability of machine learning reveals associations between input features and predicted physical properties in models, which are essential for discovering new materials. …”
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Enhancing Radiologist Efficiency with AI: A Multi-Reader Multi-Case Study on Aortic Dissection Detection and Prioritization by Martina Cotena, Angela Ayobi, Colin Zuchowski, Jacqueline C. Junn, Brent D. Weinberg, Peter D. Chang, Daniel S. Chow, Jennifer E. Soun, Mar Roca-Sogorb, Yasmina Chaibi, Sarah Quenet

“…Conclusions: The integration of a DL-based algorithm for AD detection on chest CTAs significantly reduces both the STAT and IT. …”
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Quasi-Uniform Density Non-Solid Infill Strategy for Axisymmetric Non-Planar Additive Manufacturing by Alvaro Guzman-Bautista, Adrián López-Arrabal, Elio Sanchez-Oro-Aguado, Andrea Fernández Gorgojo, Ramiro García-Galán, Francisco J. Badesa, Antonio Vizan-Idoipe

“…The algorithm has been tested on several build platform geometries and slice polygons. …”
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AI for rapid identification of major butyrate-producing bacteria in rhesus macaques (Macaca mulatta) by Annemiek Maaskant, Donghyeok Lee, Huy Ngo, Roy C. Montijn, Jaco Bakker, Jan A. M. Langermans, Evgeni Levin

“…In addition, to improve transparency, we employed explainability analysis to uncover the image features influencing the model’s predictions. Results By integrating fecal image data with corresponding metagenomic sequencing information, the deep learning (DL) and machine learning (ML) algorithms successfully predicted 16 individual bacterial genera (area under the curve (AUC) > 0.7) among the 50 most abundant genera in rhesus macaques (Macaca mulatta). …”
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The prognostic significance of epoxide hydrolases in colorectal cancer by Lichao Cao, Ying Ba, Fang Chen, Dandan Li, Shenrui Zhang, Hezi Zhang

“…EPHX2 and EPHX4 were diagnostic and predictive biomarkers for CRC. EPHX4 promoted the malignant phenotype of CRC cells. …”
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A novel mechanism-guided residual network for accurate modelling of scroll expander under noisy and sparse data conditions by Xiaoshuang Lv, Xin Ma, Wei Peng, Ke Li, Chengdong Li

“…Finally, comparative prediction experiments are carried out to validate the proposed MGResNet. …”
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The Effect of Hemoadsorption with CytoSorb on Severe COVID-19 Complications by A. S. Rybalko, S. N. Galkina, A. S. Saryglar, A. V. Voronin, M. I. Rezyapova, N. I. Chaus, S. N. Perekhodov, N. A. Karpun

“…The use of hemoadsorption with CytoSorb as a pathogenetic therapy targeting the hyperinflammatory response in the management algorithm of ICU patients with severe COVID-19 complications resulted in resolution of the inflammatory response and respiratory failure, as well as a significant reduction in mortality.…”
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Antithrombotic Therapy in Patients with Malignant Lymphoproliferative Disorders Treated with Ibrutinib by EI Emelina, GE Gendlin, IG Nikitin

“…Hemorrhagic manifestations which were the reason of anticoagulant dose reduction emerged in 4 patients, and 3 patients required another anticoagulant for the same reason. …”
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Experimental validation of the analytical modelling of a digitally created duffing acoustic nonlinear oscillator at low amplitudes by Morell Maxime, Collet Manuel, Gourdon Emmanuel, Ture Savadkoohi Alireza, De Bono Emanuele

“…The experimental implementation is done using a real-time-based algorithm retrieving the measured pressure from a microphone and giving the electrical current to send to a loudspeaker as an output thanks to a Runge-Kutta-like algorithm. …”
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The evaluation model of engineering practice teaching with complex network analytic hierarchy process based on deep learning by Xianlong Han, Xiaohui Chen

“…The comprehensive accuracy of the model in predicting students’ actual grades reaches 76–98%, and the prediction consistency varies from 76 to 98%. …”
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Comparing interpretable machine learning models for fall risk in middle-aged and older adults with and without pain by Shangmin Chen, Yongshan Gao, Lin Du, Mengzhen Min, Lei Xie, Liping Li, Xiaodong Chen, Zhigang Zhong

“…This study included 13,074 middle-aged and older adults from the China health and retirement longitudinal study (wave 2011–2015) to separately develop four-year fall risk prediction models for older adults with and without pain, using five machine learning algorithms with 145 input variables as candidate features. …”
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Diabetic Muscle Infarction: Resolution of Rare Microangiopathy with Over-The-Counter Medication by Roopam Jariwal, Nadia Raza, Catherine Cadang, Syed Rahman, David Contreras, Ramanjeet Sidhu, Janpreet Bhandohal

“…Currently, the incidence and prevalence of DMI are difficult to conclude, and there is no clear algorithm or standard of care in managing this condition. …”
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Insights into optimization of oleaginous fungi – genome-scale metabolic reconstruction and analysis of Umbelopsis sp. WA50703 by Mikołaj Dziurzyński, Maksymilian E. Nowak, Maria Furman, Alicja Okrasińska, Julia Pawłowska, Marco Fondi

“…The model demonstrated a strong predictive accuracy correctly predicting metabolic capabilities in 81.05 % of cases when evaluated against experimental data. …”
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Lightweight Tea Shoot Picking Point Recognition Model Based on Improved DeepLabV3+ by HU Chengxi, TAN Lixin, WANG Wenyin, SONG Min

“…This led to a notable reduction in the model's parameter count and expedited the model training process. …”
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Using Artificial Intelligence to Enhance Myelodysplastic Syndrome Diagnosis, Prognosis, and Treatment by Fabio Stagno, Giuseppe Mirabile, Patricia Rizzotti, Adele Bottaro, Antonio Pagana, Sebastiano Gangemi, Alessandro Allegra

“…Artificial intelligence (AI) can improve risk assessment and diagnosis, as well as boost the precision of clinical outcome prediction and illness classification. Algorithms based on artificial intelligence may be potentially helpful in discovering new needs for myelodysplastic syndrome-affected patients, choosing treatment and assessing minimal residual disease. …”
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CMDMamba: dual-layer Mamba architecture with dual convolutional feed-forward networks for efficient financial time series forecasting by Zhenkai Qin, Zhenkai Qin, Zhenkai Qin, Baozhong Wei, Baozhong Wei, Yujia Zhai, Ziqian Lin, Xiaochuan Yu, Xiaochuan Yu, Jingxuan Jiang

“…By doing so, it provides more accurate time series modeling, optimizes algorithmic trading strategies, and facilitates investment portfolio risk warnings.ResultsExperiments conducted on four real-world financial datasets demonstrate that CMDMamba achieves a 10.4% improvement in prediction accuracy for multivariate forecasting tasks compared to state-of-the-art models.DiscussionMoreover, CMDMamba excels in both predictive accuracy and computational efficiency, setting a new benchmark in the field of financial time series forecasting.…”
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Machine learning potential predictor of idiopathic pulmonary fibrosis by Chenchun Ding, Quan Liao, Renjie Zuo, Shichao Zhang, Zhenzhen Guo, Junjie He, Ziwei Ye, Weibin Chen, Sunkui Ke

“…To construct an IPF risk prediction model, we employed LASSO-Cox regression analysis and the SVM-RFE algorithm. …”
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