From Click to Cargo: The Role of Digitalization, Cross-Border E-Commerce, and Logistics in Deepening the China–Africa Trade by Dinkneh Gebre Borojo, Huang Weimin

“…Enhancing digital connectivity, advancing cross-border e-commerce (CE), and optimizing logistics performance (LP) are fundamental pillars for boosting trade flows between trading partners. …”
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Cross-Listing and Corporate Green Innovation: Evidence from Chinese AH Cross-Listed Firms by Can Li, Fusheng Wang

“…Our results are robust to alternative measurements of green innovation, alternative matching methods, alternative regression models, and various controls for endogeneity issues. …”
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IoT-Driven Intelligent Energy Management: Leveraging Smart Monitoring Applications and Artificial Neural Networks (ANN) for Sustainable Practices by Azza Mohamed, Ibrahim Ismail, Mohammed AlDaraawi

“…The application allows for continuous energy monitoring via modern IoT devices and wireless sensor networks, while ANN-based prediction models evaluate consumption data to dynamically optimize energy use and reduce environmental effect. …”
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Advanced machine learning techniques for predicting mechanical properties of eco-friendly self-compacting concrete by Arslan Qayyum Khan, Syed Ghulam Muhammad, Ali Raza, Amorn Pimanmas

“…The application of these models can lead to more efficient and eco-friendly concrete mix designs, benefiting real-world construction projects by improving quality control and reducing costs.…”
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Study on the Damage Characteristics of Wheat Kernels under Continuous Compression Conditions by Xiaopeng Liu, Ziang Shi, Yonglin Zhang, Hui Li, Jin Zhou, Hongjun Yang

“…The model’s accuracy was validated through experiments, culminating in the calculation of critical parameters for wheat peeling. …”
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Evaluating the M6 learning model and realistic mathematics education (RME) approach in enhancing critical thinking skills in mathematics: A focus on students’ logical-mathematical... by Ardi Dwi Susandi, Sudirman Sudirman, Binti Khoiriyah

“…These findings underscore the importance of aligning instructional models with students' intelligence profiles to optimize learning outcomes in critical thinking.…”
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Study on permanent deformation properties of construction waste soil under traffic loading by Chenchen Li, Chenchen Li, Chuang Zhang, Hui Weng, Yaodong Qin, Huayu Shang, Junhui Zhang

“…The model can provide a scientific basis for subgrade design and help to select construction parameters reasonably, so as to effectively control the permanent deformation of subgrade and reduce maintenance costs.…”
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Unveiling Unidirectional Transport within Janus Membranes by Kai Li, Hao‐Cheng Yang, Hao‐Nan Li, Chao Zhang, Hong‐Qing Liang, Zhi‐Kang Xu

“…In this study, a three‐stage model—encompassing liquid intrusion, capillary wetting, and liquid transport—is proposed to elucidate the unidirectional liquid transport within Janus membranes. …”
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Mitigating early age shrinkage in internally cured concrete under extreme dry conditions with MEA and SRA by Xing Xia, Jinjun Guo, Xiangnan Qin, Kun Wang, Peng Zhang

“…MEA counteracted the strength loss induced by SAP through the formation of expansive products, which enhanced control over autogenous shrinkage, while also consuming internal water. …”
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Lubricating Grease Thickness Classification of Steel Wire Rope Surface Based on GEMR-MobileViT by Ruqing Gong, Yuemin Wang, Fan Zhou, Binghui Tang

“…Proper surface lubrication with optimal grease thickness is essential for extending steel wire rope service life. …”
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Wind Turbine SCADA Data Imbalance: A Review of Its Impact on Health Condition Analyses and Mitigation Strategies by Adaiton Oliveira-Filho, Monelle Comeau, James Cave, Charbel Nasr, Pavel Côté, Antoine Tahan

“…The rapidly increasing installed capacity of Wind Turbines (WTs) worldwide emphasizes the need for Operation and Maintenance (O&M) strategies favoring high availability, reliability, and cost-effective operation. Optimal decision-making and planning are supported by WT health condition analyses based on data from the Supervisory Control and Data Acquisition (SCADA) system. …”
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XAIEnsembleTL-IoV: A new eXplainable Artificial Intelligence ensemble transfer learning for zero-day botnet attack detection in the Internet of Vehicles by Yakub Kayode Saheed, Joshua Ebere Chukwuere

“…It also uses Barnacle Mating Optimizer (BMO) to optimize the hyper-parameters of deep learning models such as ResNet, Inception, Inception ResNet, and MobileNet Convolution neural network-transfer learning architecture (CNN-TL), enhancing detection capabilities without needing vast amounts of labeled data. …”
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Incidence and risk factors of acute renal injury after Stanford type A aortic dissections by XU Xiao, LI Xiaodong, WEN Jing

“…Objective‍　‍To explore the occurrence of acute kidney injury (AKI) in patients with Stanford type A aortic dissection (TAAD) after surgical treatment, analyze the risk factors, and construct a prediction model. Methods‍　‍A retrospective case-control study was conducted on 138 TAAD patients undergoing surgical treatment in our hospital from January 2016 to June 2024. …”
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Inversion of Aerosol Chemical Composition in the Beijing–Tianjin–Hebei Region Using a Machine Learning Algorithm by Baojiang Li, Gang Cheng, Chunlin Shang, Ruirui Si, Zhenping Shao, Pu Zhang, Wenyu Zhang, Lingbin Kong

“…By comparing the inversion accuracies of single models—namely MLR (Multivariable Linear Regression) model, SVR (Support Vector Regression) model, RF (Random Forest) model, KNN (K-Nearest Neighbor) model, and LightGBM (Light Gradient Boosting Machine)—with that of the combined model (CM) after selecting the optimal model, we found that although the accuracy of the KNN model was the highest among the other single models, the accuracy of the CM model was higher. …”
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INFLUENCE OF BONE MARROW ALLOGENEIC MULTIPOTENT MESENCHYMAL STROMAL CELLS ON THE FORMATION OF ANTI-ISCHEMIC KIDNEY PROTECTION by S. S. Mescherin, N. A. Onischenko, O. V. Baranova, V. I. Sevostianov, P. V. Avramov, D. N. Kruglov

“…The study was conducted on 90 male Wistar rats. On the original IRI model of a single kidney (60 min, warm ischemia) 4 groups of experiments were performed: in the first group the dose of 5 × 106 of BM MMSCs was administered intravenously 14 days before IRIK modeling; in the second group, the same dose of BM MMSCs was administered 7 days before IRIK; in the third group, the same dose of BM MMSCs was administered during kidney reperfusion after IRIK modeling; the fourth group served as the control group (IRIK without BM МMSCs). …”
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Isolation, Identification and Drug Sensitivity Analysis of a Strain of Streptococcus agalactiae in Tilapia (Oreochromis niloticus) from Goose-fish Polyculture Environment by Jinfeng MO, Meng ZHOU, Guozhang LI, Yifan NIE, Jianmin YE, Zaohe WU

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Development and validation of a nomogram-based risk prediction model for non-alcoholic fatty liver disease (NAFLD): a logistic regression analysis in a physical examination populat... by Jing Lan, Ting Que, Hong Lan, Mingming Zhang, Lichan Ban

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Electric Vehicle Cluster and Scheduling Strategy Based on Dynamic Game by LI Shuai, DING Xiying, JIANG Hongfa

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Screening benzimidazole derivatives for atypical antipsychotic activity by K. Yu. Kalitin, O. Yu. Mukha, V. B. Voynov

“…QSAR models were constructed based on data from 2615 compounds from the ChEMBL database. …”
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Transformative Aspects of Agricultural Modernization and Its Land Use Requirements: Insights from Chinese Case Studies by Jian Liu, Yaowu Li, Hui Bai, Kai Shang, Yixiu Deng, Junsong Mao

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