Optimization analysis of air cooled open cathode proton exchange membrane fuel cell flow channel structure by Zhijun Deng, Qingwei Wang, Xun Fang, Yaru Han, Kunxiang Liu, Chen Zhao

“…In addition, in order to further improve the power density of the fuel cell, two agent models, support vector regression and Gaussian process regression, are constructed and trained, and a genetic algorithm is used to find the parameter optimization for the bending angle, width and height of the cathode channel. …”
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A Novel Framework for Automated Grid Generation and CFD Simulation of Complex Geometries by Chunguang XU, Xin OUYANG, Jie CHEN, Jun LIU

“…It achieved full automation in the process from importing discrete surface points to generating flow field computation results. …”
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Cognitive Distraction State Recognition of Drivers at a Nonsignalized Intersection in a Mixed Traffic Environment by Qiang Hua, Lisheng Jin, Yuying Jiang, Ming Gao, Baicang Guo

“…Forty participants were recruited for each event, who completed three different cognitive distraction experiments induced by three different secondary tasks in contrast with a normal driving process when passing a nonsignalized intersection. …”
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Design of a Fully Integrated Power Amplifier at <italic>Ka</italic>-<italic>V</italic> Band for 5G Transceivers by Avinash Singh, Amit Singh, Bargaje Ganesh Pandurang, Karun Rawat

“…A fully integrated millimeter-wave power amplifier has been designed and fabricated using a 0.13 &#x03BC;m SiGe BiCMOS process technology. The design is based on extracting device parasitics and utilizing them in a matching network based on a bandpass topology. …”
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Devising a Breast Cancer Diagnosis Protocol through Machine Learning by Tooba Mujtaba, Saif Ullah Hashmi, Usama Bin Imtiaz, Sheikh Jameel Fathima Nusra

“…Then, a network analysis was performed to assess the significant biological process and signaling pathways of HER2- and ER+ breast cancer development. …”
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Skin Cancer Image Classification Using Artificial Intelligence Strategies: A Systematic Review by Ricardo Vardasca, Joaquim Gabriel Mendes, Carolina Magalhaes

“…Learning approaches based on support vector machines and artificial neural networks seem to be preferred, with a recent focus on convolutional neural networks. …”
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Evaluation of in-vessel co-composting of yard waste and development of kinetic models for co-composting by K. M. Sangamithirai, J. Jayapriya, J. Hema, Ravi Manoj

“…In addition to that, kinetic models were developed to predict the decomposition rate constant of the process.…”
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Improved Method of Driving Safety Field Modeling by Considering the Abnormal Transfer of Energy Between Vehicles by Huilan Li, Xunjia Zheng, Xiangyang Xu

“…This study presents a Driving Safety Field (DSF) modeling method for quantifying the risks faced by autonomous vehicles, aiming to address the real-time and precise quantification of risks posed by other road participants during the driving process. The proposed modeling method is based on the concept that accidents involve abnormal energy transfer. …”
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Exploring the relationship between data sample size and traffic flow prediction accuracy by Jianhu Zheng, Minghua Wang, Mingfang Huang

“…Real traffic flow data from 13 road sections in Changsha, China, are analyzed using the Decision Tree, Support Vector Machine, Gaussian Process Regression and Artificial Neural Network models. …”
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Inversion of County-Level Farmland Soil Moisture Based on SHAP and Stacking Models by Hui Zhan, Peng Guo, Jiaxin Hao, Jiali Li, Zixu Wang

“…SHAP values derived from the coupled support vector regression (SVR) and random forest regression (RFR) models were used to select an additional six key features for model construction. …”
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Strategic Analysis of Trends in the Labor Market for Older Workers by Y. V. Dudovtseva

“…It is also necessary to pay attention to the specific vector of development of labor market, which is moving towards the automatization of technology and job cuts, which rather complicates the process of introducing the elderly to the labor market. …”
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Vaccination with a live-attenuated small-colony variant improves the humoral and cell-mediated responses against Staphylococcus aureus. by Julie Côté-Gravel, Eric Brouillette, François Malouin

“…It is recognized that small-colony variants (SCVs), which produce higher levels of biofilm and that are capable of intracellular persistence, contribute to the chronicity or recurrence of infections and that this phenotype is inherent to the pathogenesis process. Prevention of S. aureus infections through vaccination has not yet met with considerable success. …”
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Leveraging Artificial Intelligence for Smart Healthcare Management: Predicting and Reducing Patient Waiting Times with Machine Learning by Kristijan CINCAR, Todor IVAŞCU

“…To test its validity, a one-month simulation of the hospital process generated relevant statistics and other key resource utilization influencers. …”
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A 28 GHz Phased-Array Transmitter Based on Doherty Spatial Combining Technique With a Local Sub-Sampling PLL by Itamar Melamed, Avraham Sayag, Emanuel Cohen

“…We implemented the four TX chains on a standard 65 nm bulk-CMOS process, achieving a system efficiency of 7.6<inline-formula><tex-math notation="LaTeX">$\%$</tex-math></inline-formula> at 21 dBm equivalent isotropic radiated power (EIRP), with an error vector magnitude (EVM) of &#x2212;31 dB.…”
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Liver myofibroblasts of murine origins express mesothelin: Identification of novel rat mesothelin splice variants. by Michel Fausther, Elise G Lavoie, Jonathan A Dranoff

“…Liver myofibroblasts are specialized effector cells that drive hepatic fibrosis, a hallmark process of chronic liver diseases, leading to progressive scar formation and organ failure. …”
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Injecting structure-aware insights for the learning of RNA sequence representations to identify m6A modification sites by Yue Yu, Shuang Xiang, Minghao Wu

“…The core innovation of M6A-SAI lies in its ability to incorporate structural information through a multi-step process: initially, the model utilizes a Transformer encoder to learn RNA sequence representations. …”
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Locally rendered high-resolution Land Use/Land Cover Bitmaps from OpenStreetMap Data for geospecific 3D Simulation by D. Frommholz

“…The automatic workflow utilizes free software and open formats, does not require web services nor graphical GIS applications and can be run by novice cartographers. In the process, offline vector data sets from the collaborative mapping project are prepared into self-contained transferable database files that arrange relevant geometric features and attributes as spatially indexed tables for fast access. …”
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Constructing a predictive model of negative academic emotions in high school students based on machine learning methods by Shumeng Ma, Ning Jia, Xiuchao Wei, Wanyi Zhang

“…Abstract Negative academic emotions reflect the negative experiences that learners encounter during the learning process. This study aims to explore the effectiveness of machine learning algorithms in predicting high school students’ negative academic emotions and analyze the factors influencing these emotions, providing valuable insights for promoting the psychological health of high school students. …”
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The genesis of the understanding of the right to apply to the court (the right to suit) in civil proceedings by Olena Shtefan

“…The conducted research made it possible to conclude that the main research vector of the concept of ’’right to appeal to court’’ (’’right to sue’’) was formed by lawyers in Ancient Rome. …”
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Statistical contextual explanation of quantum paradoxes by Marian Kupczynski

“…A collapse of wavefunction is not a mysterious and instantaneous physical process; a collapsed quantum state describes a new ensemble of physical systems prepared in a particular way. …”
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