Latent landslide hazard recognition in Fang County using synthetic aperture radar interferometry and geological data by Shunyao Wang, Shunyao Wang, Shunyao Wang, Qingbin Fan, Hui Li

“…Compared to the existing latent landslide recognition method, the proposed method integrating InSAR and geological data can eliminate areas where landslides are geologically unlikely to occur, thereby enhancing the efficiency and accuracy of latent landslide hazard identification. …”
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Investigating the relationship between the monetary policy shock through the exchange rate channel on the management quality index in the banking system: by examining the productiv... by Farhad Sharifi Bagha, Jafar Haqiqat, Zahra Karimi Takanloo

“…The FAVAR or the Factor-Augmented Vector Autoregression model presented by Bernanke, Boivin and Elias (2003) has been used to solve the problems related to the VAR model. …”
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The Current State of the Sea Container Transportation Market by Zaborskyi Leonid O., Shaposhnikov Dmytro S.

“…Prospects for further research in this direction are the identification of the main reference points at which significant changes in container transportation took place, the identification of factors that had an impact and the modeling of both individual situations and their interaction as a whole.…”
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Characterizing and engineering post-translational modifications with high-throughput cell-free expression by Derek A. Wong, Zachary M. Shaver, Maria D. Cabezas, Martin Daniel-Ivad, Katherine F. Warfel, Deepali V. Prasanna, Sarah E. Sobol, Regina Fernandez, Fernando Tobias, Szymon K. Filip, Sophia W. Hulbert, Peter Faull, Robert Nicol, Matthew P. DeLisa, Emily P. Balskus, Ashty S. Karim, Michael C. Jewett

“…Then, we adapt our workflow to study and engineer oligosaccharyltransferases (OSTs) involved in protein glycan coupling technology, leading to the identification of mutant OSTs and sites within a model vaccine carrier protein that enable high efficiency production of glycosylated proteins. …”
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A Two-Stage Feature Selection Approach for Fruit Recognition Using Camera Images With Various Machine Learning Classifiers by Tri Tran Minh Huynh, Tuan Minh Le, Long Ton That, Ly Van Tran, Son Vu Truong Dao

“…Therefore, it is necessary to build an effective automated tool to meet the needs of the market by boosting the outcome, in order to improve economic efficiency. In this paper, a two-stage model is proposed to recognize fruits using camera images. …”
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Screening for Potential Antiviral Compounds from Cyanobacterial Secondary Metabolites Using Machine Learning by Tingrui Zhang, Geyao Sun, Xueyu Cheng, Cheng Cao, Zhonghua Cai, Jin Zhou

“…Advanced virtual screening techniques can significantly reduce the time and cost of novel antiviral drug identification. In this study, we used a cyanobacterial secondary metabolite library as an example and trained three models to identify compounds with potential antiviral activity using a machine learning method based on message-passing neural networks. …”
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Developing a novel TaqMan qPCR assay for optimizing Salmonella Pullorum detection in chickens by Hao Wang, Xiamei Kang, Longhai Yu, Haijian Wang, Anja Müller, Corinna Kehrenberg, Yan Li, Min Yue

“…However, existing detection methods have substantial limitations in efficiency and accuracy. Herein, we developed a genomic deletion-targeted TaqMan qPCR assay for identification of Salmonella Pullorum, enabling precise differentiation from other Salmonella serovars. …”
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Multiple Renewable Short-Circuit Ratio for Assessing Weak System Strength with Inverter-Based Resources by Lin Yu, Shiyun Xu, Huadong Sun, Bing Zhao, Guanglu Wu, Xiaoxin Zhou

“…Inverter-based resources (IBRs), such as wind and photovoltaic generation, are characterized by low capacity and extensive distribution, which can exacerbate the weak properties of power systems. Precise identification of weak system status is essential for ensuring the security and economic efficiency of IBR integration. …”
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Deep hashing and attention mechanism-based image retrieval of osteosarcoma scans for diagnosis of bone cancer by Taisheng Zeng, Yuguang Ye, Yusi Chen, Daxin Zhu, Yifeng Huang, Ying Huang, Yijie Chen, Jianshe Shi, Bijiao Ding, Jianlong Huang, Mengde Ling

“…Feature extraction employs the WRN-AM model to map high-dimensional features to a low-dimensional hash code space, improving retrieval efficiency. …”
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Developing A Digital Twin of a TRUEX Extraction Process that Enables Non-proliferation and Safeguards Monitoring through Optical Spectroscopy and Machine Learning [version 1; peer... by Justin T. Cooper, Ramedy Flores, Addyson Barnes, Eduardo Trevino, Kathrine Jesse, Kolton Heaps, Adam J. Pluth, Ashley Shields, Jaren Brownlee

“…Thus, the ability to monitor the solvent extraction process in real-time would enable the rapid identification and diagnosis of process upsets. Methods In this work, we discuss the development of a digital twin of a surrogate small-scale nuclear fuel reprocessing solvent extraction process utilizing online optical spectroscopic monitoring, machine learning (ML), and chemical modeling. …”
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The integration of artificial intelligence into foreign language teaching of maritime students: Preparation for professional interviewing by Vladlena V. Lysenko, Yulia A. Ivantsova, Yekaterina V. Nikitina

“…The developed three-stage training model, combining the creation of a database of questions, simulation of interviews using generative (AI) and practising skills through business games, demonstrated high efficiency in the formation of both linguistic and professional competences of students, in addition to soft skills deemed integral for a successful career in the maritime industry. …”
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Enhancing Urban Space Optimization and Governance through Artificial Intelligence: Insights from Megacities by Tengyun Hu, Tuo Chen, Guojiang Yu, Meng Zhang, Yan Ding, Han Liu, Yu Wang

“…Utilizing the U-Net deep learning model and high-frequency remote sensing images, we analyzed building space dynamics in Beijing between 2018 and 2019. …”
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Smart UAV-assisted rose growth monitoring with improved YOLOv10 and Mamba restoration techniques by Fan Zhao, Zhiyan Ren, Jiaqi Wang, Qingyang Wu, Dianhan Xi, Xinlei Shao, Yongying Liu, Yijia Chen, Katsunori Mizuno

“…We also developed ROSE-YOLO, an improved object detection model tailored for rose identification, achieving 95.3 % mean average precision (mAP) on high-resolution images. …”
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WAYS OF IMPROVING SERVICE QUALITY IN NETWORK RETAIL by Valentyna A. Pavlova, Olena Yu. Meshal

“…The article examines the ways to increase the efficiency of the retail network by involving consumers in making purchases in retail stores and a high level of their loyalty as a determining factor in the growth of turnover in the conditions of martial law. …”
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Medicinal Plant-Derived Exosome-Like Nanovesicles as Regulatory Mediators in Microenvironment for Disease Treatment by Feng Z, Huang J, Fu J, Li L, Yu R, Li L

“…In this paper, the extraction and identification methods of nanovesicles derived from medicinal plants were summarized. …”
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Impact of the Spatiotemporal Relationship Between Blast Source and Protected Area on Wave Arrival Sequence and Vibration Control Methods in Bench Blasting by Sijie Wang, Haojun Wu, Min Gong, Xiaodong Wu

“…First, a spatiotemporal relationship model between blast holes with monitoring points is established to calculate vibration wave arrival times. …”
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Photosynthetic performance index (PIabs) and malondialdehyde (MDA) content determine rice biomass under combined salt stress and prohexadione-calcium treatment by Guanqiang Zuo, Wanqi Mei, Naijie Feng, Dianfeng Zheng

“…These opposing patterns underscore the challenges of relying solely on conventional correlation analysis for biomass prediction in different genetic backgrounds. The random forest model effectively addressed this complexity, identifying photosynthetic performance index (PIabs) and MDA content as the most robust predictors of biomass. …”
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Design of a Drivable Area Segmentation Network Using a Field Programmable Gate Array Based on Light Detection and Ranging by Xue-Qian Lin, Jyun-Yu Jhang, Cheng-Jian Lin, Sheng-Fu Liang

“…To enable effective identification of drivable areas on the basis of environmental information, this study designed a drivable area segmentation network named DASNet. …”
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Принципи ергодизайнерського забезпечення проектування авіаційних систем та заходи з їх реалізації... by Anatoly Rubtsov, Vladimir Svirko, Ivan Otroumov

“…Methods of comparative analysis, organi-zational and structural ergodesign assessment, and computer modeling of unmanned aerial systems (UAS) components design are used to specify the importance of ergodesign requirements and parameters during an aviation system designing, importance of their control at different stages of these products life cycle, performing a design process on a human-centric basis, in which the operator is considered as a main integrated component of aviation system during creation efficient, environmentally friendly, and comfortable aviation system. …”
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Seedling Stage Corn Line Detection Method Based on Improved YOLOv8 by LI Hongbo, TIAN Xin, RUAN Zhiwen, LIU Shaowen, REN Weiqi, SU Zhongbin, GAO Rui, KONG Qingming

“…[Conclusions]The proposed crop line extraction method effectively addresses field challenges such as lighting and weed interference, enabling rapid and accurate crop identification. This approach supports the automatic navigation of agricultural machinery, offering significant improvements in the precision and efficiency of field operations.…”
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