Exploring Built Environment Visual Interactions: A SoftBIM Data-Driven Approach for a Database About the Outdoor View by Matteo Cavaglià, Alberto Speroni, Juan Diego Blanco Cadena, Andrea Giovanni Mainini, Tiziana Poli

“…Even when such metrics are available, their practical use as guiding tools in the design process is frequently obstructed by complex data interoperability procedures. …”
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Frame Structure and Engineering Applications of the Multisource System Cloud Service Platform of Monitoring of the Soft Rock Tunnel by Fengnian Wang, Songyang Yin, Aipeng Guo, Zhicai Wang, Meng Mi, Gan Qi, Juan Ma, Haijiang Zhang

“…The monitoring system provided the collection, transmission, storage, processing, and early warning information sending of data, such as NPR anchor cable axial force, steel arch stress, deep surrounding rock displacement, surrounding rock deformation, and contact pressure between primary support with secondary lining. …”
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An Improved YOLOv8 Model for Detecting Four Stages of Tomato Ripening and Its Application Deployment in a Greenhouse Environment by Haoran Sun, Qi Zheng, Weixiang Yao, Junyong Wang, Changliang Liu, Huiduo Yu, Chunling Chen

“…In response to the current challenges, including the unclear segmentation of tomato ripeness stages, low recognition accuracy, and the limited deployment of mobile applications, this study provided a detailed classification of tomato ripeness stages. Through image processing techniques, the issue of class imbalance was addressed. …”
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Untargeted metabolomics for acute intra-abdominal infection diagnosis in serum and urine using UHPLC-TripleTOF MS by Zhenhua Dong, Shaopeng Zhang, Hongwei Zhang, Dingliang Zhao, Ziwen Pan, Daguang Wang

“…Following preliminary experimental processing, all serum and urinary samples were subjected to ultrahigh performance liquid chromatography-triple time-of-flight mass spectrometry analysis. …”
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Coherent DOA Estimation of Multi-Beam Frequency Beam-Scanning LWAs Based on Maximum Likelihood Algorithm by Yifan Yang, Rihui Zeng, Qingqing Zhu, Weijin Fang, Biyun Ma, Yide Wang

“…To address this issue, this paper proposes a novel DOA estimation method for coherent signals based on multi-beam frequency scanning leaky-wave antennas. …”
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YOLO-UP: A High-Throughput Pest Detection Model for Dense Cotton Crops Utilizing UAV-Captured Visible Light Imagery by Chenglei Sun, Afizan Bin Azman, Zaiyun Wang, Xiaoxiao Gao, Kai Ding

“…YOLO-PEST incorporates a custom-designed SC3 module to enhance low-level feature extraction and employs the GeLU activation function to address the vanishing gradient issue. Additionally, the model optimizes the neck design to re-duce semantic discrepancies between feature layers, improving small-target detection, and integrates large-kernel separable convolutions to bolster high-level feature processing. …”
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FTG: Score-based black-box watermarking by fragile trigger generation for deep model integrity verification by Heng Yin, Zhaoxia Yin, Zhenzhe Gao, Hang Su, Xinpeng Zhang, Bin Luo

“…The whole watermarking process does not affect the performance of the target classifier. …”
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The Classification of Metastatic Spine Cancer and Spinal Compression Fractures by Using CNN and SVM Techniques by Woosik Jeong, Chang-Heon Baek, Dong-Yeong Lee, Sang-Youn Song, Jae-Boem Na, Mohamad Soleh Hidayat, Geonwoo Kim, Dong-Hee Kim

“…Metastatic spine cancer can cause pain and neurological issues, making it challenging to distinguish from spinal compression fractures using magnetic resonance imaging (MRI). …”
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Research Progress on Enzymatic Preparation and Functional Properties of Bioactive Peptides in Hairtail by Yuanyuan WU, Kewei ZHENG, Wenzhu LI, Cheng LI, Xiaojun YAN, Qingbao MA, Wei JIANG

“…This review provides the enzymatic hydrolysis processes and auxiliary methods used for preparing hairtail bioactive peptides. …”
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Atom economic closed-loop recycling of thermoset polyurethane foams by Zenghe Liu, Ling Liu, Yangfei Li, Kexuan Yang, Sujing Li, Wei Li, Yutian Zhu, Tao Xie

“…Importantly, the process yields new foams with mechanical properties identical or even superior to the original foam. …”
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Structural knowledge-driven meta-learning for task offloading in vehicular networks with integrated communications, sensing and computing by Ruijin Sun, Yao Wen, Nan Cheng, Wei Wang, Rong Chai, Yilong Hui

“…Simulation results demonstrate that our method outperforms both the AM algorithm and the meta-learning without structural knowledge in terms of both the online processing time and the network performance.…”
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Multi‐sensor missile‐borne LiDAR point cloud data augmentation based on Monte Carlo distortion simulation by Luda Zhao, Yihua Hu, Fei Han, Zhenglei Dou, Shanshan Li, Yan Zhang, Qilong Wu

“…Abstract Large‐scale point cloud datasets form the basis for training various deep learning networks and achieving high‐quality network processing tasks. Due to the diversity and robustness constraints of the data, data augmentation (DA) methods are utilised to expand dataset diversity and scale. …”
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Potentials of computer simulation of lung tumors in comparison with ^99mТс-MIBI SPECT/CT data by N. V. Denisova, M. A. Gurko, S. M. Minin, Zh. Zh. Anashbaev, A. A. Zheravin, E. A. Samoilova, S. E. Krasilnikov

“…The data obtained were subjected to computer processing using a specialized Xeleris 4.0 system from GE (USA). …”
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Evaluation of Rural Urban Waste Management : Integrating Logic Model and GIS Approach in Pemalang, Central Java, Indonesia by Mansur Hidayat, Maryono Maryono, Widjonarko Widjonarko, Muhammad Dzaky Taqyuddin, Padmagitaning Saraswati

“…Logic models evaluate input process output and program outcomes, while GIS evaluates geospatial program achievements. …”
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Lightweight defocus deblurring network for curved-tunnel line scanning using wide-angle lenses by Shaojie Qin, Taiyue Qi, Xiaodong Huang, Xiao Liang

“…While existing deblurring algorithms can improve image quality, they often prioritize results over inference time, which is not ideal for high-speed tunnel image acquisition. To address this issue, we developed a lightweight tunnel structure defect deblurring network (TSDDNet) for curved-tunnel line scanning with wide-angle lenses. …”
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The Ground-Penetrating Radar Image Matching Method Based on Central Dense Structure Context Features by Jie Xu, Qifeng Lai, Dongyan Wei, Xinchun Ji, Ge Shen, Hong Yuan

“…Thus, traditional visual image processing algorithms perform inadequately when applied to GPR image matching. …”
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Water Vapor Correction in Measurements of Aerosol Backscatter Coefficients Using a 910 nm Vaisala CL51 Ceilometer by Jiarui Chen, Xiaoyue Zeng, Siwei Li, Ge Song, Shuangliang Li

“…However, the backscattering signals from ceilometers around 910 nm, which are seriously affected by background signals and water vapor absorption, strongly limits the performance of aerosol retrievals. To overcome this issue, a signal correction process would be crucial to reduce errors of backscattering signals of the CL51 ceilometer. …”
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Genetic Editing with CRISPR Cas9: recent Biomedical and Biotechnological Applications by Fabián Andrés Garzón Posse, Angie Kathleen Pinilla Peña, Cesar Augusto Rivas Velásquez, María Camila Murillo Virgüez, Jorge Alberto Gutiérrez Méndez

“…We also discuss some bioethical issues surrounding this subject.…”
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Observation of dendrite formation at Li metal-electrolyte interface by a machine-learning enhanced constant potential framework by Taiping Hu, Haichao Huang, Guobing Zhou, Xinyan Wang, Jiaxin Zhu, Zheng Cheng, Fangjia Fu, Xiaoxu Wang, Fuzhi Dai, Kuang Yu, Shenzhen Xu

“…Abstract Uncontrollable dendrites growth during electrochemical cycles leads to low Coulombic efficiency and critical safety issues in Li metal batteries. Hence, a comprehensive understanding of the dendrite formation mechanism is essential for further enhancing the performance of Li metal batteries. …”
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Exploring Active Learning Strategies in Science among Senior High School STEM Learners and Teachers by Ananias Jr Yunzal, Aubrey Ginelle Rallos, May Noren Nanud, Ma. Lina Ondoy, Jhun Matthew Ares, Marchee Picardal

“…While learners are struggling to concretize abstract concepts in science, their varied intentional science of learning enables them to navigate in the learning process.…”
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