Theoretical open-loop model of respiratory mechanics in the extremely preterm infant. by Laura Ellwein Fix, Joseph Khoury, Russell R Moores, Lauren Linkous, Matthew Brandes, Henry J Rozycki

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APPLICATION ELEMENTS OF LITHOTHERAPY IN COMPLEX TREATMENT OF NEUROPATHY FACIAL NERVE by V.L. Melnik, V.K Shevchenko, E.V. Shevchenko, I.V. Melnik

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CAFiKS: Communication-Aware Federated IDS With Knowledge Sharing for Secure IoT Connectivity by Ogobuchi Daniel Okey, Demostenes Zegarra Rodriguez, Frederico Gadelha Guimaraes, Joao Henrique Kleinschmidt

“…In many cases, deep neural networks (DNNs) serve as the backbone algorithm in federated processes. However, their computational demands make them impractical for deployment in Internet of Things (IoT) environments, which are characterised by resource-constrained devices; hence, the need for lightweight and adaptable solutions. …”
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Prognostic role of hemostasis-regulating genetic factors and their interaction with conventional risk factors at the early stages of coronary heart disease development by E. Yu. Andreenko, L. M. Samokhodskaya, A. V. Balatskyi, P. I. Makarevich, S. A. Boytsov

“…In participants with HCH, the PLA2/PLA2 genotype of GPIIIa was linked to increased MI risk for CHD patients (p=0,01; OR=6,0). Conclusion. The algorithm for predicting the genetic CHD risk may incorporate the assessment of the genetic polymorphism of GPIa (C807T), GPIIIa (PLA1/PLA2), factor XIII (V34L), and factor VII (R353Q). …”
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Multiple-omics analysis of aggrephagy-related cellular patterns and development of an aggrephagy-related signature for hepatocellular carcinoma by Jiafen Xie, Xiaoming Wang

“…At the single-cell level, the AGG scores were calculated using AUCell algorithm, and cell interactions and pseudotime trajectory analyses were conducted. …”
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Analysis of the Strength Development, CO₂ Emissions, and Optimized Low-Carbon Design of Fly-Ash-Enhanced Composite Concrete by Bo Yang, Yu Dong, Xiao-Yong Wang

“…Similarly, reducing the W/(C + FA) ratio from 0.50 to 0.30 also lowers the CO₂ emissions per unit of strength. Finally, a genetic algorithm was employed for the optimization of the low-carbon design. …”
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COMPREHENSIVE THERAPY OF ENDO-PERIODONTAL LESIONS: MOVING STEP BY STEP TOWARDS COMPLETE FUNCTIONAL REHABILITATION OF PATIENTS WITH COMBINED PATHOLOGY by Yu.O. Kinash, L.V. Kinash

“…The coefficient of concordance demonstrates the importance of the therapy we conducted with the possibility of predicting its outcomes, mathematically confirming and equating the data with index analysis. …”
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Integrating GIS and remote sensing for soil attributes mapping in degraded pastures of the Brazilian Cerrado by Rômullo Oliveira Louzada, Ivan Bergier, Édson Luis Bolfe, Jayme Garcia Arnal Barbedo

“…This study integrates active and passive remote sensing data with Machine Learning (ML) methods to predict the physicochemical properties of degraded sandy soils in the Brazilian Cerrado. …”
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The impact of SRRM2-AS1 in ovarian cancer: a comprehensive analysis based on pan-cancer and in vitro validation by Jiaojiao Lu, Xia Zheng, Xu Li

“…Immune cell infiltrations were assessed with the single-sample Gene Set Enrichment Analysis (ssGSEA) algorithm, while subcellular localization was predicted using the lncATLAS database. …”
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Machine learning-driven identification of critical gene programs and key transcription factors in migraine by Lei Zhang, Yujie Li, Yunhao Xu, Wei Wang, Guangyu Guo

“…Random forest analysis predicted ARID3A as the top transcription factor regulating gene program 1, suggesting its potential role in modulating calcium-related genes involved in migraine. …”
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Development of a three-species gut microbiome diagnostic model for acute pancreatitis and its association with systemic inflammation: a prospective cross-sectional study by Yuanyuan Gou, Long Yao, Wenli Yang, Qian Chen, Yuetao Wen, Jie Cao

“…High-throughput 16S rRNA sequencing analyzed taxonomic profiles, while a random forest algorithm was employed to construct a diagnostic model based on differentially abundant species. …”
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Phenotypic Trait Acquisition Method for Tomato Plants Based on RGB-D SLAM by Penggang Wang, Yuejun He, Jiguang Zhang, Jiandong Liu, Ran Chen, Xiang Zhuang

“…The relative errors when predicting the plant height, canopy width, and volume are 3.86%, 14.34%, and 27.14%, respectively, while the errors concerning the fruit count and fruit volume are 14.36% and 14.25%. …”
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Immunogenomic-Based Analysis of Hierarchical Clustering of Diffuse Large Cell Lymphoma by Longhao Wang, Wei Yuan, Lifeng Li, Zhibo Shen, Qishun Geng, Yuanyuan Zheng, Jie Zhao

“…Immunocharacteristics-related DLBCL subtypes’ construction predicts expected patient results and supplies conceivable immunotherapy candida.…”
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Improved Cd Detection in Rice Grain Using LIBS with Husk-Based XGBoost Transfer Learning by Weiping Xie, Jiang Xu, Lin Huang, Yuan Xu, Qi Wan, Yangfan Chen, Mingyin Yao

“…These samples were processed into rice husk, brown rice, and polished rice groups, and the reference Cd content was measured by ICP-MS. The XGBoost algorithm, known for its excellent performance in handling high-dimensional data and nonlinear relationships, was applied to construct both the XGBoost base model and the XGBoost-based transfer learning model to predict Cd content in brown rice and polished rice. …”
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A simple pedotransfer function to estimate fine fraction organic carbon contents of surface horizons in French soils by Eva Rabot, Pierre Barré, Claire Chenu, Amicie A. Delahaie, Manuel P. Martin, José-Luis Munera-Echeverri, Nicolas P.A. Saby

“…We used the Random Forest algorithm and partial dependence plots in an exploratory data analysis, to analyze the variables influencing OCfine contents and to study the shape of their relationship with OCfine. …”
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Adaptation of strategic management accounting to the ac tivities of medical equipment distributors by N. A. Kamordzhanova, E. V. Satalkina, N. D. Fedorova

“…The strategic management tools developed in the study will provide medical equipment distributors with the opportunity to more effectively analyze the market, predict macroeconomic changes and develop strategies aimed at sustainable business development. …”
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Mapping the air temperature in China from time-normalized MODIS land surface temperature data via zone-based stacking ensemble models by Yan Xin, Yongming Xu, Xudong Tong, Yaping Mo, Yonghong Liu, Shanyou Zhu

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AI-based virtual immunocytochemistry for rapid and robust fine needle aspiration biopsy diagnosis by Irfan Ahmed, Wei Zhang, Pikting Cheung, Vardhan Basnet, Zulfiqar Ali, May PY Tse, Fraser Hill, Tom Tak Lam Chan, Haibo Hu, Xinyue Li, Condon Lau

“…In total, the geometrical features of 8.48 million segmented cells (4.24 million pairs) were translated into a tabular format and paired based on the Euclidean cell matching algorithm. This approach facilitated the prediction of cell labels, achieving sensitivity and specificity of 0.98 and 0.97 (0.94 and 0.99), respectively for CD3 (PAX5). …”
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Integrative machine learning and molecular simulation approaches identify GSK3β inhibitors for neurodegenerative disease therapy by Hassan H. Alhassan

“…Among all models, the Random Forest (RF) algorithm had the best prediction accuracy, with a value of 0.6832 on the test set and 0.7432 on the training set, and was employed to screen the target library of 11,032 phytochemicals. …”
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Evaluating Ecological Vulnerability and Its Driving Mechanisms in the Dongting Lake Region from a Multi-Method Integrated Perspective: Based on Geodetector and Explainable Machine... by Fuchao Li, Tian Nan, Huang Zhang, Kun Luo, Kui Xiang, Yi Peng

“…Furthermore, the LightGBM algorithm was used for feature optimization, followed by the construction of six machine learning models—Multilayer Perceptron (MLP), Extremely Randomized Trees (ET), Decision Tree (DT), Random Forest (RF), LightGBM, and K-Nearest Neighbors (KNN)—to conduct multi-class classification of ecological vulnerability. …”
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