Global research landscape of antiangiogenic therapy for colorectal cancer: a bibliometric analysis of mechanistic insights and clinical advancements by Ke-Qiang Hou, Jia-Ming Wu, Jie Chen

“…BackgroundColorectal cancer (CRC) is a major global health issue, with over 1.9 million diagnoses yearly and low survival rates in advanced stages. Antiangiogenic therapies (AAT) targeting VEGF and VEGFR have improved outcomes, but resistance mechanisms limit their effectiveness. …”
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Digitization and Preservation of Natural Heritage Supported by Digital Fabrication Technologies by Luis David Badilla Oviedo, Judith Cambronero Vega, Valery Sánchez Espinoza, Andrés Sáenz Bräutigam, Santiago García Dobles, Stephanie Valle Cubero

“…The models were successfully adapted to be uploaded to a 3D viewer platform, which is compatible with low-cost virtual reality solutions, to implement them in environmental education activities. …”
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Defect Detection and 3D Reconstruction of Complex Urban Underground Pipeline Scenes for Sewer Robots by Ruihao Liu, Zhongxi Shao, Qiang Sun, Zhenzhong Yu

“…The 3D modeling approach offers valuable insights for underground pipeline data visualization and defect measurement.…”
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Multivariate prognosis of non-alcoholic fatty liver disease development in visceral obesity in patients with coronary artery disease and hypertension by I. V. Logacheva, T. A. Ryazanova, S. B. Ponomarev, V. R. Makarova

“…At K<9,37, the risk of NAFLD can be regarded as low, at K>15,38 — as high. Values from 9,37 to 15,38 are considered intermediate.Conclusion. …”
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Development of a 5G-Connected Ultra-Wideband Radar Platform for Traffic Monitoring in a Campus Environment by David Martín-Sacristán, Carlos Ravelo, Pablo Trelis, Miriam Ortiz, Manuel Fuentes

“…A preliminary evaluation conducted on a single radar during peak-hour traffic on a double-lane road, representing a challenging scenario, indicated a high detection rate of 94.81%, a low false detection rate of 1.02%, a high classification accuracy of 97.29%, and a high direction accuracy of 99.66%. …”
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Zonation of coastal geo-electrostratigraphic units via stratigraphic modified Lorenz plots and rock typing by Ndifreke I. Udosen

“…This approach has enabled the visualization of spatial permeability distributions and groundwater storage variations, offering a diagnostic tool for aquifer productivity assessment. …”
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Enhancing Disaster Situation Awareness Through Multimodal Social Media Data: Evidence from Typhoon Haikui by Songfeng Gao, Tengfei Yang, Yuning Xu, Naixia Mou, Xiaodong Wang, Hao Huang

“…Traditional methods, characterized by low spatial and temporal resolution as well as coarse granularity, often fail to comprehensively capture disaster situations. …”
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Self-Supervised and Zero-Shot Learning in Multi-Modal Raman Light Sheet Microscopy by Pooja Kumari, Johann Kern, Matthias Raedle

“…Despite its capabilities, Raman light sheet microscopy faces inherent limitations, including low signal intensity, high noise levels, and restricted spatial resolution, which impede the visualization of fine subcellular structures. …”
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Towards an Environmental Measurement Cloud: Delivering Pollution Awareness to the Public by Federico Domínguez, Samuel Dauwe, Nguyen The Cuong, Dimitri Cariolaro, Abdellah Touhafi, Bart Dhoedt, Dick Botteldooren, Kris Steenhaut

“…It offers several data access, discovery, and visualization services to the public while serving as a scientific tool for noise pollution research. …”
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The Utilization of Ultrasound-Guided Regional Nerve Blocks in Anesthetic Management for Fracture Surgery by Yi R, Li Z, Yang X, Huang T, Liu H, Zhang J

“…This approach enables precise placement of anesthetics through real-time visualization of neural structures and adjacent tissues, significantly improving the accuracy and safety of the procedure. …”
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An Auto-Adjusting Algorithm to Enhance Indoor Localization Accuracy: A Real-Time Experimental Analysis by Othman A. Alfahad, Husham Saied, Emad Malaekah, Ahmed Al Rashdi, Mohammed Emam, Mohsen Bakouri

“…The method adopted by the Internet of Things (IoT) model integrated with Bluetooth Low Energy (BLE) to achieve this objective. The system is designed to track lost items and individuals using a wearable central unit (mini-Raspberry Pi) as a controller and BLE nodes as peripheral devices. …”
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Optical Imaging of Integrin αβ Expression with Near-Infrared Fluorescent RGD Dimer with Tetra(ethylene glycol) Linkers by Zhaofei Liu, Shuanglong Liu, Gang Niu, Fan Wang, Shuang Liu, Xiaoyuan Chen

“…In summary, NIRF imaging with IRDye800-E[PEG 4 -c(RGDfK)] 2 offers an easy, fast, and low-cost way to detect and semiquantify tumor integrin α v β 3 expression in living subjects.…”
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Fine-Grained Identification of Benthic Diatom Scanning Electron Microscopy Images Using a Deep Learning Framework by Fengjuan Feng, Shuo Wang, Xueqing Zhang, Xiaoyao Fang, Yuyang Xu, Jianlei Liu

“…Ablation studies and visualization further validate the efficacy of each module.…”
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Technical approaches of 3D reconstruction from protein complex using the mixture of differently stained images: providing suggestive evidence for improving its resolution by Yoon Ho Park, Myeong Seon Jeong, Gang San Song, Tak gwonbaek, Young Kwan Kim, Hyun Suk Jung

“…Our findings suggest that this multi-stain negative staining approach can be a powerful tool for enhancing low-resolution structural information of large protein complexes, bridging the gap between initial characterization and high-resolution studies. …”
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COVID-19 Impact on Public Health in Bangladesh: A Comprehensive Analysis of Morbidity, Mortality and Future Scenarios by Mostafa Essam Ahmed Eissa

“…Bangladesh, a densely populated and low-resource country, faced many challenges in responding to the pandemic. …”
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MACNet: A Multidimensional Attention-Based Convolutional Neural Network for Lower-Limb Motor Imagery Classification by Ling-Long Li, Guang-Zhong Cao, Yue-Peng Zhang, Wan-Chen Li, Fang Cui

“…However, it is challenging to classify lower-limb MI from electroencephalogram (EEG) signals, because lower-limb motions (LLMs) including MI are excessively close to physiological representations in the human brain and generate low-quality EEG signals. To address this challenge, this paper proposes a multidimensional attention-based convolutional neural network (CNN), termed MACNet, which is specifically designed for lower-limb MI classification. …”
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CFD analysis of cavitated flow in multi-groove water lubricated bearings with partial and full slip effects by Rutuparna Ambekar, Nitesh Kumar, Shiva Kumar, H Girish

“…Flow visualization reveals complex vortex structures within the grooves, with their size and location strongly affected by slip conditions and journal speed. …”
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Using emoji to ascertain student emotional responses to technology-based human anatomy instruction by Shawn M. Magrum, Shawn M. Magrum, Jaynie Bird, Ethan L. Snow, Ethan L. Snow

“…Both pleasant (high valence/sentiment) and unpleasant (low valence/sentiment) emotions influence the cognitive processes involved in learning, and emotional sentiment can be exemplified by particular emoji.MethodsA survey with 10 facial emoji stratified into three categories (positive, neutral, and negative sentiment) was administered to students completing a human anatomy course with 3D visualization technology (3DVT) and augmented reality (AR) integration. …”
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5G Network Deployment Planning Using Metaheuristic Approaches by Binod Sapkota, Rijan Ghimire, Paras Pujara, Shashank Ghimire, Ujjwal Shrestha, Roshani Ghimire, Babu R. Dawadi, Shashidhar R. Joshi

“…The present research focuses on optimizing 5G base station deployment and visualization, addressing the escalating demands for high data rates and low latency. …”
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A framework for street view texture refinement of LoD2 building model using roughly posed terrestrial photos by Yunlong Zheng, Xianfeng Huang, Liang Ge, Mao Ye, Wenxuan Liu, Fan Zhang, Hanyu Xiang, Zepeng Hou

“…UAV-based oblique photogrammetric 3D reconstruction is widely utilized for large-scale urban modeling, and shop signs on the reconstructed models serve as vital elements for visualization and various urban research. However, the texture quality, particularly at street level, is often influenced by low resolution and occlusion, resulting in blurred and illegible shop signs. …”
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