Swin Transformer With Late-Fusion Feature Aggregation for Multi-Modal Vehicle Reidentification by Reza Fuad Rachmadi, Supeno Mardi Susiki Nugroho, I. Ketut Eddy Purnama

“…Vehicle image data from low-light environments is very challenging for reidentification tasks, and multi-modal data (visible, near-infrared, and thermal) is often used to improve model performance. …”
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Tooth image segmentation and root canal measurement based on deep learning by Ziqing Chen, Qi Liu, Jialei Wang, Nuo Ji, Yuhang Gong, Bo Gao

“…The relative error of root canal length measurement was 3.42% (less than 5%), and the effect of auto-correction was recognized by clinicians.DiscussionThe proposed segmentation method demonstrates favorable performance, with a relatively low relative error between automated and manual measurements, providing valuable reference for clinical applications.…”
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Hypothetical learning trajectory on cylinder with Bloom's taxonomy perspective by Hamida Izatul Jannah, Mohammad Faizal Amir

“…Two experimental cycles were conducted with 28 fifth-grade students, categorized into low, moderate, and high levels of understanding. …”
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On-Tissue Chemical Derivatization for Mass Spectrometry Imaging of Fatty Acids with Enhanced Detection Sensitivity by Malik Ebbini, Zicong Wang, Hua Zhang, Kelly H. Lu, Penghsuan Huang, Cameron J. Kaminsky, Luigi Puglielli, Lingjun Li

“…Mass spectrometry imaging (MSI) allows for the visualization of FA distribution in brain tissues but is often limited by low detection sensitivity and high background interference. …”
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Experimental Study for the Effects of Different Factors on the Sand-Carrying Capacity of Slickwater by Huan Peng, Wenzhe Li, Juncheng Liu, Junliang Peng, Huifen Han, Jiayi Liu, Dan Liu, Zhifan Yang

“…Furthermore, polyacrylamide which is the water-soluble drag-reducing agent is most widely used in applying current shale gas slickwater fracturing operations. Due to the low viscosity and poor sand-carrying capacity of slickwater, proppant easily settles at the bottom of hydraulic fractures. …”
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Toxicity Evaluation of a Novel Magnetic Resonance Imaging Marker, CoCl2-N-Acetylcysteine, in Rats by Li Wang, Mihai Gagea, Karen Martirosyan, Mary Johansen, Timothy Madden, Lisa Norberg, Kirk S. Culotta, Steven J. Frank

“…Rats were assigned to control (0% CoCl2:NAC), low-dose (0.1% CoCl2:2% NAC), reference-dose (C4), and high-dose (10% CoCl2:2% NAC) groups. …”
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Deep Learning-Based Detection and Assessment of Road Damage Caused by Disaster with Satellite Imagery by Jungeun Cha, Seunghyeok Lee, Hoe-Kyoung Kim

“…However, a key finding of this study is that even this best-performing model is constrained by a low detection recall (0.445 ± 0.051) for the ‘damaged road’ class. …”
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Ultrastructural Aspects of Physiological Mineralization: A Comparative Study in Different Hard Tissues by Marina Borgese, Mario Raspanti, Marina Protasoni, Piero Antonio Zecca, Fulvia Ortolani, Marcella Reguzzoni

“…In this study, the ultrastructural aspects of the mineral phase of these tissues were investigated by means of high-resolution scanning electron microscopy (HR-SEM) after low-temperature thermal deproteination, a technique allowing a direct, unrestricted visualization of the mineral component. …”
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Unknown IoT Device Identification Models and Algorithms Based on CSCL-Siamese Networks and Weighted-Voting Clustering Ensemble by Junhao Qian, Wenyu Zheng, Xulin Lu, Zhihua Li

“…First, we integrate data visualization techniques with a permutation sample-pairing strategy to generate a complete and nonredundant set of positive–negative sample pairs. …”
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In Vivo Dynamic Coronary Arteries Blood Flow Imaging Based on Multi‐Cycle Phase Clustering Ultrafast Ultrasound by Hao Yu, Jiabin Zhang, Feng Feng, Jinyu Yang, Yu Xia, Yunlong Zhao, Jue Zhang

“…However, the vigorous motion of myocardial tissue inherently causes inevitable signal aliasing between blood flow and myocardial tissue in traditional Doppler ultrasound imaging, constituting a persistent challenge in echocardiography for decades. Particularly for low‐velocity flows like coronary artery blood flow, the Doppler frequency shifts completely overlap with myocardial tissue signal shifts, rendering them virtually undetectable through conventional echocardiography. …”
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A Cognition Knowledge Representation Model Based on Multidimensional Heterogeneous Data by Dong Zhong, Yi-An Zhu, Lanqing Wang, Junhua Duan, Jiaxuan He

“…There are also some problems such as low visualization of knowledge representation, poor human-machine interaction ability, insufficient knowledge reasoning ability, and slow knowledge search speed, which cannot meet the needs of intelligent and personalized service. …”
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A novel solid phase synthesis of an estradiol derivative and preclinical evaluation for targeting estrogen-receptor positive breast cancer by Subhani M. Okarvi

“…A rapid accumulation of 3.79% IA/g was observed in the MCF-7 tumors at 1 h p.i., whereas a low to moderate retention of radioactivity was seen in the normal organs, including the heart, lungs, liver, stomach, spleen, intestines, and kidneys (< 5% ID/g). …”
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Enhanced IoT-Based Optimization for a Hybrid Power System in Cartwright, Labrador by Raymond Orie, Lynna Otabil, Jonathan Agorua, Mohammad Tariq Iqbal

“…This project aims to enhance the proposed hybrid system with IoT-based optimization by leveraging a low-cost open-source SCADA system and accomplished monitoring and control capabilities. …”
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Machine Learning for Resilient and Sustainable Cities: A Bibliometric Analysis of Smart Urban Technologies by Bin Luan, Xinqun Feng

“…In terms of spatial distribution, countries such as China and the United States are at the forefront of this field, whereas regions like Africa and South America have a relatively low research output due to constraints in research resources and technological infrastructure. …”
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A Simple Method to Assess In Vivo Proliferation in Lung Vasculature with EdU: The Case of MMC-Induced PVOD in Rat by Antigny Fabrice, Ranchoux Benoît, Nadeau Valérie, Edmund Lau, Bonnet Sébastien, Perros Frédéric

“…It can be used to easily detect DNA replication in large tissue samples or organ explants with low proliferation and turnover of cells formerly believed to be in a “terminal” state of differentiation. …”
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Multivariate Gaussian Bayes classifier with limited data for segmentation of clean and contaminated regions in the small bowel capsule endoscopy images. by Vahid Sadeghi, Alireza Mehridehnavi, Maryam Behdad, Alireza Vard, Mina Omrani, Mohsen Sharifi, Yasaman Sanahmadi, Niloufar Teyfouri

“…A considerable amount of undesirable factors in the wireless capsule endoscopy (WCE) procedure hinder the proper visualization of the small bowel and take gastroenterologists more time to review. …”
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Development and validation of a prognostic nomogram for early hepatocellular carcinoma treated with microwave ablation by Jing Zhang, Guanya Guo, Tao Li, Changcun Guo, Ying Han, Xinmin Zhou

“…By using the nomogram model, the patient population could be correctly divided into low- and high-risk strata presenting significantly different median OS of 105.0 (95% CI: 84.1-125.9) months, and 45.0 (95% CI: 28.0-62.0) months, respectively.ConclusionThe nomogram model based on AFP, PLT, ablation margins, and ALBI score was a simple visualization model that could stratify patients with early‐stage HCC after MWA and predict individualized long-term survival with favorable performance.…”
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INSTRUMENTAL AND BIOPHYSICAL METHOD OF EVALUATION TEST OF SEEDS OF GREEN VEGETABLE CULTURES by F. B. Musayev, V. A. Kharchenko, M. S. Antoshkina

“…It is shown that X-ray analysis of quality of seeds, in particular, viability, by visualization of images efficient and rather precise. …”
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RETRACTED: Simplicial Complex-Enhanced Manifold Embedding of Spatiotemporal Data for Structural Health Monitoring by Nan Xu, Zhiming Zhang, Yongming Liu

“…The proposed methodology effectively represents both intra-series and inter-series correlations in the low-dimensional embeddings, making it useful for classification and visualization. …”
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A machine learning-based approach for precision risk stratification and multifactorial analysis of needlestick injuries in oral and maxillofacial surgery nursing by Xiulan Deng, Jiayang Han, Linlin Yin, Yongzhi Pang, Qingbin Han, Lu Zhao, Wenlei Liu, Qing Li

“…Spearman correlation analysis was used to identify critical risk variables, while K-means clustering and t-SNE visualization were used for risk stratification. Results The study results showed that 33.93% of the nurses were classified as high risk, 35.27% as medium risk, and 30.8% as low risk. …”
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