Prospects for development of graphic training of students of technical universities by Zh. A. Nazarova

“…Currently, building information modeling are an integral part of the construction industry all over the world, and the process of implementation in the Russian Federation is underway to maintain the competitiveness of developers both in the domestic market and in construction abroad. …”
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Sydney’s residential relocation landscape: Machine learning and feature selection methods unpack the whys and whens by Maryam Bostanara, Amarin Siripanich, Milad Ghasri, Taha Hossein Rashidi

“…Building on these foundational insights, the study paves the way for a deeper understanding of individual decision-making processes in sustainable urban planning. …”
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Prolonged exposure to mixed reality alters task performance in the unmediated environment by Xiaoye Michael Wang, Daniel Southwick, Ian Robinson, Michael Nitsche, Gabby Resch, Ali Mazalek, Timothy N. Welsh

“…These findings call for careful consideration of MR-based training because the exposure to MR may perturb the sensorimotor processes in the physical environment and negatively impact performance accuracy and transfer of training from MR to UR.…”
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Energy Saving and Pollutant Emission Reduction by Adding Hydrogen in a Gasoline-fueled Engine by Yuan-Chung Lin, Sheng-Lun Lin, Syu-Ruei Jhang, Kang-Shin Chen, Chaio-Wen Su, Chien-Er Huang

“…Abstract Pollution reduction related to combustion engines is considered to be an important issue around the world. Hydrogen as an additive energy has been utilized for alternative fuel since it need not require any modification. …”
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Microbial community assembly across agricultural soil mineral mesocosms revealed by 16S rRNA gene amplicon sequencing dataNCBI SRA by Daniel Lee, Fernanda C C Oliveira, Richard T. Conant, Minjae Kim

“…While recognized that mineral-associated organic matter (MAOM) in soils is mainly formed through microbial activity, our understanding of microbial-derived MAOM formation processes remains limited due to the complexity of the soil environment. …”
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Multi-Paragraph Machine Reading Comprehension with Hybrid Reader over Tables and Text by Sanghyun Cho, SeongReol Park, Hye-Lynn Kim, Jung-Hun Lee, JoongMin Shin, Hyuk-Chul Kwon

“…The training process infuses knowledge for tabular data into a pre-trained model while retaining its original weights from pre-training. …”
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Enhanced Prediction and Evaluation of Hydraulic Concrete Compressive Strength Using Multiple Soft Computing and Metaheuristic Optimization Algorithms by Tianyu Li, Xiamin Hu, Tao Li, Jie Liao, Lidan Mei, Huiwen Tian, Jinlong Gu

“…In the subsequent stage, the lightweight gradient boosting tree (LightGBM) model and the metaheuristic-based optimization algorithm are combined to integrate information from base models. This process identifies the primary factors affecting concrete compressive strength. …”
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A Self-Learning Hyper-Heuristic Algorithm Based on a Genetic Algorithm: A Case Study on Prefabricated Modular Cabin Unit Logistics Scheduling in a Cruise Ship Manufacturer by Jinghua Li, Ruipu Dong, Xiaoyuan Wu, Wenhao Huang, Pengfei Lin

“…Hyper-heuristic algorithms effectively avoid the extensive evaluation and repair of infeasible solutions during the iterative process, which is a common issue in meta-heuristic algorithms. …”
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MolAttnNet: A Predictive Model for Organic Drug Solubility Based on Graph Convolutional Networks and Transformer-Attention by Chenxu Wang, Yijun Feng, Zhejie Xu, Xiaohui Xu, Bangguo Peng

“…Furthermore, interpretability analysis confirms the model’s reliability in feature extraction and decision-making processes. The proposed framework provides a practical approach for drug solubility prediction and contributes to computational drug discovery methodologies.…”
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Retaining Short‐Term Variability Reduces Mean State Biases in Wind Stress Overriding Simulations by Matthew T. Luongo, Noel G. Brizuela, Ian Eisenman, Shang‐Ping Xie

“…Abstract Positive feedbacks in climate processes can make it difficult to identify the primary drivers of climate phenomena. …”
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Dual-Domain Multi-Task Learning-Based Domain Adaptation for Hyperspectral Image Classification by Qiusheng Chen, Zhuoqun Fang, Shizhuo Deng, Tong Jia, Zhaokui Li, Dongyue Chen

“…However, existing methods overlook bringing similar cross-domain samples closer together in the feature space to achieve the indirect transfer of source domain classification knowledge. To overcome this issue, we propose a Multi-Task Learning-based Domain Adaptation (MTLDA) method. …”
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Research on 3D Building Individualization Technology Based on Spatial Constraints by Z. Liu, L. Huo, T. Shen, F. Kong

“…Traditional building footprint extraction methods primarily rely on geometric features or texture information, but in densely built or occluded urban environments, achieving ideal extraction results is often difficult. To address this issue, this paper proposes a 3D building footprint extraction method based on spatial constraints. …”
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Social Media as a New Communication Platform in the Context of the Information Eco Strategy by Halyna Bryikhanova, Veronika Zaitseva, Iryna Gamova, Diana Fayvishenko

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Gresilient Supplier Evaluation and Selection under Uncertainty Using a Novel Streamlined Full Consistency Method by Mohammad Hashemi-Tabatabaei, Maghsoud Amiri, Mehdi Keshavarz-Ghorabaee

“…The proposed method streamlines traditional FUCOM processes to solve decision-making problems in deterministic and uncertain environments. …”
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A Bearing Fault Diagnosis Method Combining Multi-Source Information and Multi-Domain Information Fusion by Tao Sui, Yixiang Feng, Sitian Sui, Xueran Xie, Hui Li, Xiuzhi Liu

“…These methods often fail to provide comprehensive and stable fault information, thereby affecting the diagnostic performance. To address this issue, this paper introduces a multi-source and multi-domain information fusion method for the fault diagnosis (M2IFD) of bearings, integrating an attention mechanism to enhance the diagnosis process. …”
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Dynamic Rescheduling Strategy for Passenger Congestion Balancing in Airport Passenger Terminals by Yohan Lee, Seung Chan Choi, Keyju Lee, Sung Won Cho

“…In conclusion, the proposed model has the potential to enhance the efficiency of the security screening stage in the passenger departure process.…”
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The Role of Hydrolyzed Collagen in Combating Skin Aging: A Literature Review by Ewelina Kopczyńska, Piotr Kulej, Matylda Korgiel, Michał Ciołkosz, Wiktor Biesiada, Agnieszka Skoczeń, Michał Kulesza, Mateusz Kopczyński, Justyna Woźniak

“… Introduction  Skin aging has become an increasingly common issue. As time passes, the skin undergoes degenerative changes, including the loss of elasticity and reduction in collagen content. …”
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Workforce development in the trucking industry: A comprehensive analysis of truck driver training entities by Sicheng Wang, Elizabeth A. Mack, Nidhi Kalani, Chu-Hsiang Chang, Shelia R. Cotten

“…These entities are critical in creating a pipeline of drivers to address the driver shortage issue and respond to the changing requirements of drivers. …”
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A hybrid blockchain-based solution for secure sharing of electronic medical record data by Gang Han, Yan Ma, Zhongliang Zhang, Yuxin Wang

“…This algorithm not only streamlines the signature process across chains but also strengthens system security and optimizes storage efficiency, addressing a key challenge in multi-chain systems. …”
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An Investigation into the Insertion of a Solid Mandrel into a Commercial Cylindrical Li-Ion Cell for Improved Thermal Performance by Joshua Ireland, James Marco, Truong Dinh, Ryan McGlen, Kevin Lynn

“…Cylindrical Li-ion cells have found utilisation in numerous industries, but they are susceptible to thermal issues, and so they require suitable thermal management. …”
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