Urban Spatiotemporal Event Prediction Using Convolutional Neural Network and Road Feature Fusion Network by Yirui Jiang, Shan Zhao, Hongwei Li, Huijing Wu, Wenjie Zhu

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Quality Evaluation of Sizeable Surveying-Industry-Produced Terrestrial Laser Scanning Point Clouds That Facilitate Building Information Modeling—A Case Study of Seven Point Clouds... by Sander Varbla, Raido Puust, Artu Ellmann

“…Potentially hidden from visual inspection, such systematic errors can cause misalignments between point cloud portions in the compound point cloud structure, which could be detrimental to further applications of the point clouds. …”
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Production of Bioadsorbents via Low-Temperature Pyrolysis of Exhausted Olive Pomace for the Removal of Methylene Blue from Aqueous Media by Safae Chafi, Manuel Cuevas-Aranda, Mª Lourdes Martínez-Cartas, Sebastián Sánchez

“…The biochar obtained at 400 °C for 1 h, which exhibited the best adsorption performance, was characterized by FTIR, N₂ adsorption–desorption isotherms, SEM-EDX, and proximate analysis, revealing a mesoporous structure with a relatively low specific surface area but enriched in surface functional groups, likely due to the partial degradation of lignocellulosic components. …”
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Failure to Identify the Left Arcuate Fasciculus at Diffusion Tractography Is a Specific Marker of Language Dysfunction in Pediatric Patients with Polymicrogyria by Michael J. Paldino, Kara Hedges, Nadine Gaab, Albert M. Galaburda, P. Ellen Grant

“…Given the relationship between laminar structure and white matter fibers, we sought to define the relationship between polymicrogyria (PMG), intrahemispheric association pathways, and network function. …”
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Design and Application of a Test Rig for Stationary Component Performance Measurement of Centrifugal Compressors by K. Zhao, Y. Liu, Y. Zhang, X. Liu, H. Shi

“…Comparison between measured data and CFD results reveals that the measurement results are in good agreement with CFD results. …”
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Application of porous building materials in low-rise housing construction by Dolmatov Sergey, Soboleva Anastasia, Voinash Sergey, Zagidullin Ramil, Yakushev Adel, Rzhavtsev Andrey, Sokolova Viktoriia

“…The enclosing structure made of porous building materials was considered as the object under study in the work. …”
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Inter-hemispheric couplings in the middle atmosphere exhibited by principal component analysis of the SD-WACCM-X simulations by Sheng-Yang Gu, YuBo Zeng, Jin Hu, YuSong Qin, Liang Tang, YuXuan Liu

“…This study employs Principal Component Analysis (PCA) and 13 years of SD-WACCM-X model data (2007−2019) to investigate the characteristics and mechanisms of Inter-hemispheric Coupling (IHC) triggered by sudden stratospheric warming (SSW) events. …”
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Advancing the Monitoring of Traditional Meadow Orchards: Current Approaches and Future Directions by P. Joseph, S. Pflüger, M. Petersen, A. Siegmund, A. Siegmund

“…Metrics such as canopy structure and spectral information such as NDVI were extracted, indicating high vitality (99%) but low maintenance (only 28% well maintained). …”
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Carbon emission reduction effects of digital infrastructure construction development: the broadband China strategy as a quasi-natural experiment by Huiming Ren, Jiawen Zhou, Yunjiang Yu, Mingque Ye

“…Second, a mediating effect test showed that green technology innovation investment and industrial structure upgrading are important mechanisms for digital infrastructure construction’s carbon emission reduction effects. …”
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Clinical and etiological features of peadiatric facial neuropathy and their role in predicting outcomes by M. A. Irikova, E. Yu. Skripchenko, V. B. Voitenkov, N. V. Marchenko, N. V. Skripchenko, O. V. Goleva, I. B. Petrov

“…Also, their correlation with the outcomes and duration of the disease were assessed.Results: in the etiological structure infectious FP are more common in children under 12 years of age, with a predominance of herpesviruses and enteroviruses, whereas, more than half of the cases in children over the age of 12 years are idiopathic (Bell’s palsy), less often herpesviruses. …”
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Motion-tolerant 3D volumetric multimodality microscopy imaging of human skin with subcellular resolution and extended field-of-view by Zhenguo Wu, Yunxian Tian, Jianhua Zhao, Yimei Huang, Harvey Lui, Sunil Kalia, Haishan Zeng

“…Abstract The skin, the body’s largest organ, has a heterogeneous structure with various cell types and tissue layers. …”
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Neural Networks in Forecasting Disease Dynamics by A. G. Hasanov, D. G. Shaybakov, S. V. Zhernakov, A. M. Men’shikov, F. F. Badretdinova, I. F. Sufiyarov, J. R. Sagadatova

“…Modern statistical packages and the MATLAB environment were used.Results and discussion.The conducted comparative analysis showed a 3-layer recurring network of direct distribution to be the most suitable neural network architecture. The optimal structure of the neural network was found to be: 27–6–1 (i.e. 27 neurons are used at the entrance; 6 — in a hidden layer; 1 — in the output layer). …”
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A Simple and Effective KAN-Based Architecture for Accurate Battery RUL Prediction by Guangzai Ye, Li Feng, Jianlan Guo, Yuqiang Chen, Shufei Li

“…It also incorporates a channel-independent KANs structure with a regularized weighted loss function to handle variable-specific degradation patterns. …”
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The Crimean Khanate in 1736 accor­ding to the Account of the French Consul, Adam Yavorka by Avakov P.A., Bespyatykh Yu.N.

“…At the same time, the information of A. Yavorka about the structure of the nobility of the Crimean Khanate is not quite accurate, which is explained by the rather superficial acquaintance of the diplomat with this segment of public life in his host country.…”
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Optimizing the Architecture of a Quantum–Classical Hybrid Machine Learning Model for Forecasting Ozone Concentrations: Air Quality Management Tool for Houston, Texas by Victor Oliveira Santos, Paulo Alexandre Costa Rocha, Jesse Van Griensven Thé, Bahram Gharabaghi

“…This study introduces a new quantum–classical approach, combining a graph-based deep learning structure with a quantum neural network to predict ozone concentration up to 6 h ahead. …”
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Exploring the Correlation Between Interatomic Bonding and Corrosion Resistance of Metallic Alloys via Combinatorial Method by Liwei Hu, Fucheng Li, Weijie Xie, Chao Wang, Mingxing Li, Gang Wang, Yanhui Liu

“…However, the corrosion of alloys is a complicated process influenced by many factors, such as composition, structure and surface finishing, and corrosion media. …”
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RN‐Net: Reservoir Nodes‐Enabled Neuromorphic Vision Sensing Network by Sangmnin Yoo, Eric Yeu‐Jer Lee, Ziyu Wang, Xinxin Wang, Wei D. Lu

“…Combining these blocks in a hierarchical structure, the RN‐Net offers efficient processing for both local and global spatiotemporal features. …”
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Prospects for the use of <i>Bacillus anthracis</i> toxin in cancer therapy by A. P. Rodionov, S. V. Ivanova, E. A. Artemeva, L. A. Melnikova

“…This review focuses on discussing the experience of foreign researchers in the application of Bacillus anthracis lethal factor in cancer therapy. The paper presents data from the studies that characterize the structure and functions of the lethal factor, reflect the results of its application on cancer cells both as a part of anthrax toxin and as a separate unit, reveal its therapeutic potential. …”
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Characterization of fluid occurrence states in shale reservoirs: centrifugal–nuclear magnetic resonance experimental analysis by Jin Pang, Tongtong Wu, Xinan Yu, Chunxi Zhou, Haotian Chen, Jiaao Gao

“…By examining the NMR T₂ spectra of shale samples under varying centrifugal speeds, the distinction between movable and bound fluids is established, clarifying the influence of pore structure on fluid occurrence. Quantitative relationships between pore size and adsorbed/free gas are further investigated through methane adsorption experiments. …”
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Emerging Trends in Machine Learning Assisted Optimization Techniques Across Intelligent Transportation Systems by Blessing Itoro Afolayan, Arka Ghosh, Jenny Fajardo Calderin, Antonio D. Masegosa

“…Artificial intelligence (AI) plays a critical role in Intelligent Transport Systems (ITS) as urban areas grow by processing data for safety enhancements, predictive analysis, and traffic management. …”
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