Aerodynamic analysis and ANN-based optimization of NACA airfoils for enhanced UAV performance by Sanan H. Khan, Mohd Danish, Md. Ayaz, Afsar Husain, Shamma Saeed, Shamma Abdulla, Shama Shaheen, Alia Saeed, Ahmed Thaher

“…Additionally, the ANN model demonstrated a high accuracy in predicting the aerodynamic performance, closely matching the results of the CFD simulations. …”
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Capsule neural network and its applications in drug discovery by Yiwei Wang, Binyou Wang, Jun Zou, Anguo Wu, Yuan Liu, Ying Wan, Jiesi Luo, Jianming Wu

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An introduction to causal discovery by Martin Huber

“…This survey provides an introduction to key concepts, algorithms, and applications of causal discovery from the perspectives of economics and social sciences. …”
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A Hardware Architecture of a Dynamic Ranking Packet Scheduler for Programmable Network Devices by Mostafa Elbediwy, Bill Pontikakis, Jean-Pierre David, Yvon Savaria

“…The proposed DR-PIFO’s hardware implementation is shown to closely approach the behavior and performance of its algorithmic model by efficiently executing various scheduling algorithms, leading to precise bandwidth distribution among traffic flows. …”
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Optimization of Flight Scheduling in Urban Air Mobility Considering Spatiotemporal Uncertainties by Lingzhong Meng, Minggong Wu, Xiangxi Wen, Zhichong Zhou, Qingguo Tian

“…Additionally, the proposed phased artificial lemming algorithm (ALA) outperforms traditional optimization algorithms in terms of solution quality. …”
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High resolution human leukocyte antigen class I allele frequencies and HIV-1 infection associations in Chinese Han and Uyghur cohorts. by Yanhou Liu, Zhongfang Zhao, Tianyi Li, Qi Liao, Nicholas Kushner, Neal Y Touzjian, Yiming Shao, Yongtao Sun, Amie J Strong, Yichen Lu

“…We observed statistically significant increases in expectation-maximization (EM) algorithm predicted haplotype frequencies of HLA-A*0201-B*5101 in the Uyghur HIV-1 negative group, and of Cw*0304-B*4001 in the Han HIV-1 negative group. …”
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Protocol for the impact of machine learning-based clinician decision support algorithims in perioperative care (IMAGINATIVE) in Singapore general hospital : a large prospective ran... by Marcus Ong, Hairil Rizal Abdullah, Ecosse Lamoureux, Elaine Lum, Gek Hsiang Lim, Tan Pei Yi Brenda, Celestine Loh

“…In Singapore General Hospital (SGH), we introduced the Combined Assessment of Risk Encountered in Surgery-Machine Learning (CARES-ML) in June 2023, focusing on predicting 30-day postoperative mortality and the need for post-surgery intensive care unit (ICU) stays. …”
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A machine learning-based recommendation framework for material extrusion fabricated triply periodic minimal surface lattice structures by Sajjad Hussain, Carman Ka Man Lee, Yung Po Tsang, Saad Waqar

“…This dataset was used to train both ML and DL algorithms. ML algorithms included Bayesian regression (BR), K-nearest neighbors (KNN), Random Forest (RF), Decision Tree (DT), and DL algorithm convolutional neural network (CNN). …”
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Research on the Construction of Event Evolutionary Graph for Urban Rail Transit Train Operation and Maintenance Safety by FAN Qianqi, ZUO Jianyong, GONG Ming, JIA Bo, LI Zhengjiang

“…In the event extraction stage, a professional dictionary of urban rail is constructed and trigger word rules are designed; in the event relationship extraction stage, semantic dependency and sequential relationship are combined; in the event evolutionary alignment stage, an optimized clustering algorithm is used to define the main risk factors. …”
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Mapping of cotton bolls and branches with high-granularity through point cloud segmentation by Lizhi Jiang, Javier Rodriguez-Sanchez, John L. Snider, Peng W. Chee, Longsheng Fu, Changying Li

“…For the first time, this study accomplished high-granularity spatial mapping of cotton bolls and branches, but directly predicting fiber quality from 3D point clouds remains a challenge. …”
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Biomarkers associated with cell-in-cell structure in kidney renal clear cell carcinoma based on transcriptome sequencing by Zehua Wang, Zhongxiao Zhang

“…The accuracy of these biomarkers was verified by using the receiver operating characteristic (ROC) curve as well as in vitro experiments (CCK-8 assay, wound healing assay, Transwell assay, and quantitative real-time PCR). The CIBERSORT algorithm was applied to explore the association between immune infiltration and the biomarkers. …”
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Scenario Modelling for Reproducing Investment Potential of Institutional Sectors in the Regions of the Siberian Federal District by I. V. Naumov, A. V. Trynov, A. O. Safonov

“…The authors developed an algorithm of scenario modelling for reproducing investment potential of institutional sectors in regional systems. …”
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Identification and validation of a thirteen-gene signature based on ubiquitin related genes in cervical cancer by Wenxiu Ding, Shu Liu, Huiai Zhang, Hongxia Ding, Shaobing Zhou, Hongxun Ye

“…To further our understanding, we assessed the correlation between the risk model and immune infiltration using the TIDE algorithm. Lastly, we investigated whether USP21 could influence the malignant behavior of cervical cancer cells. …”
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RETRACTED ARTICLE: Single-cell omics and machine learning integration to develop a polyamine metabolism-based risk score model in breast cancer patients by Xiliang Zhang, Hanjie Guo, Xiaolong Li, Wei Tao, Xiaoqing Ma, Yuxing Zhang, Weidong Xiao

“…These genes were analyzed using univariate COX and machine learning algorithms to develop a prognostic scoring algorithm. …”
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INCREASED LEVEL OF MIR-204-5P EXPRESSION IN MELANOMA CELLS UNDER THE INFLUENCE OF DACARBAZINE by S. N. Lavrentiev, M. B. Aksenenko, A. S. Averchuk, A. V. Komina, N. V. Palkina, T. G. Ruksha

“…Various types of tissues was analyzed, and the algorithm for summing neutron and photon doses in neutronMiRNA s are involved in the regulation of numerous critical biological processes, including cell proliferation, differentiation, migration and invasion. …”
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Thrombotic Lesion of the Pulmonary Vessels in Patients with Pulmonary Embolism by A. A. Klimenko, N. A. Demidova, N. A. Shostak, M. O. Anischenko

“…Pathogenetic aspects of this condition are not fully investigated. It is important to predict the development of postembolic syndrome and to develop algorithms for the diagnosis, treatment and rehabilitation of patients with symptoms and residual pulmonary thrombosis. …”
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Simulation model for determining the rational dimensions of the irreducible reserve of locomotives at the stations of its turnover by E. A. Sotnikov, M. M. Gonik, S. V. Khomyakov, S. V. Mikhaylov

“…To solve this problem, a mathematical model of train operation has been developed on locomotive circulation areas, taking into account the daily fluctuations of train traffic, possible deviations in predicting composition formation and other factors. …”
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Decision-making power enhances investors’ neural processing of persuasive message in partnership investment by Jianbiao Li, Peikun Chen, Jingjing Pan, Chengkang Zhu

“…Furthermore, using a support vector machine (SVM) algorithm, the INS could accurately predict receivers’ adoption of persuasive messages when they held dominant decision-making power. …”
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MonoAMP: Adaptive Multi-Order Perceptual Aggregation for Monocular 3D Vehicle Detection by Xiaoxi Hu, Tao Chen, Wentao Zhang, Guangyi Ji, Hongxia Jia

“…Thus, we propose MonoAMP, an adaptive multi-order perceptual aggregation algorithm for monocular 3D object detection. We first introduce triplet attention to enhance the interaction of cross-dimensional feature attention. …”
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Identification of exosome-related genes associated with prognosis and immune infiltration features in pancreatic cancer by Jie Wang, Ming Qing, Jie Gui, Pingyong Zhong, Hao Hua

“…Additionally, CIBERSORT was used to estimate immune cell infiltration levels. Lastly, the TIDE algorithm was leveraged to evaluate the connection between gene expression and drug sensitivity. …”
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