Worldwide Research Trends on Lung Cancer and Microbiota: A Bibliometric and Visualized Analysis by Ren YF, Tan SY, Wang Q, He JW, You FM, Ma Q, You LT

“…This study employs bibliometric methods to trace trends and advancements, emphasizing the extraction and analysis of clinical research data, and outlines current challenges and future research directions.Methods: We selected the literature in the Web of Science Core Collection database. …”
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Visualizing sound emission of elephant vocalizations: evidence for two rumble production types. by Angela S Stoeger, Gunnar Heilmann, Matthias Zeppelzauer, André Ganswindt, Sean Hensman, Benjamin D Charlton

“…In this study we used a sound visualization method (an acoustic camera) to record rumbles of five captive African elephants during spatial separation and subsequent bonding situations. …”
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Rapid and Visual Detection of Monkey B Virus Based on Recombinase Polymerase Amplification by Xinlan Chen, Chenchen Liu, Fangxu Li, Junhui Zhou, Zanheng Huang, Haili Zhang, Hualei Wang, Pei Huang, Zengguo Cao, Sandra Chiu

“…We developed two RPA assays for BV visualization diagnosis. RPA-VF-US6 is a simple, rapid, and specific detection method for BV. …”
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Learning High-Order Features for Fine-Grained Visual Categorization with Causal Inference by Yuhang Zhang, Yuan Wan, Jiahui Hao, Zaili Yang, Huanhuan Li

“…The experimental results demonstrate that the proposed method achieves accuracies of 90.7% on CUB-200, 92.0% on FGVC-Aircraft, and 94.8% on Stanford Cars, highlighting its effectiveness and robustness across these widely used fine-grained recognition datasets. …”
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High-Order Temporal Context-Aware Aerial Tracking with Heterogeneous Visual Experts by Shichao Zhou, Xiangpan Fan, Zhuowei Wang, Wenzheng Wang, Yunpu Zhang

“…Visual tracking from the unmanned aerial vehicle (UAV) perspective has been at the core of many low-altitude remote sensing applications. …”
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An Efficient and Automated Classification System for Rocks Based on Visually Explainable Deep Learning by Shan Lin, Quanke Hu, Hongwei Guo, Miao Dong, Kaiyang Zhao, Hong Zheng, Zhijun Liu

“…To enhance convolutional neural network interpretability and reliability, we further dive into visual interpretation maps generated by various class activation mapping methods. …”
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PCVR: a pre-trained contextualized visual representation for DNA sequence classification by Jiarui Zhou, Hui Wu, Kang Du, Wengang Zhou, Cong-Zhao Zhou, Houqiang Li

“…Traditional alignment-based tools tend to have slow speed and low recall. Machine learning methods learn implicit patterns from data with encoding techniques such as k-mer counting and ordinal encoding, which fail to handle long sequences or sacrifice structural and sequential information. …”
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MPVT: An Efficient Multi-Modal Prompt Vision Tracker for Visual Target Tracking by Jianyu Xie, Yan Fu, Junlin Zhou, Tianxiang He, Xiaopeng Wang, Yuke Fang, Duanbing Chen

“…Visual target tracking is a fundamental task in computer vision. …”
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Bibliometric and visualized analysis of global distribution and research frontiers in tumor immune escape by Chaihong Zhang, Lihong Chen

“…This study aims to systematically examine the knowledge structure, hotspot frontiers, emerging trends, and future directions in the field of tumor immune escape through the application of bibliometric methods and knowledge mapping analysis.MethodsA comprehensive search of the Web of Science Core Collection (WoSCC) was conducted for publications pertaining to tumor immune escape from January 1, 2015, to November 30, 2024. …”
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Sex-specific patterns in social visual attention among individuals with autistic traits by Ludan Zhang, Xin Guan, Huiqin Xue, Xiaoya Liu, Bo Zhang, Shuang Liu, Dong Ming

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The Interaction between Visual and Proprioception Information for Dynamic Postural Control in Healthy Individuals by yasin hoseini, Nader Farahpour

“…The main objective of this study was to evaluate the dynamic postural control of healthy individuals during perturbation on their base of support in eyes opened and closed conditions. Methods: Forteen healthy men participated in this study. …”
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Exploring communication supports for children with visual impairment and blindness: A case study by Kristen Abrahams, Dellicia de Vos, Armand Bam, Harsha Kathard

“…Objectives: This study aimed to explore and describe how a home-based programme at a community-based organisation supported the communication development of children with VI and B by exploring and describing: (1) the organisation, its context and ethos; (2) the programme methodology including, role players, skills and activities; and (3) communication opportunities. Method: A case study design was employed, and data were collected through interviews, document reviews and observations. …”
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YOLO-NeRFSLAM: underwater object detection for the visual NeRF-SLAM by Zhe Wang, Zhibin Yu, Zhibin Yu, Bing Zheng, Bing Zheng

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Developing historical thinking skills and creativity of visually impaired middle school students by Osman Akhan, Adem Uzun

“…The data obtained were transferred to the MAXQDA 2020 Plus qualitative data analysis program and analyzed with the descriptive analysis method and themes were created. According to the findings of the study, visually impaired students had the opportunity to develop their historical thinking skills and creativity. …”
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Global research trends on subtypes of Parkinson's disease: A visual bibliometric analysis by Yan Su, Sheng Cai, Yang Xu, Xianwen Chen

“…More accurate subtype classification is significant for understanding the pathogenesis of PD, predicting disease progression, and selecting effective treatment methods. A bibliometric analysis of relevant research on PD subtypes is presented in this study. …”
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Camera Sensor Activation Scheme for Target Tracking in Wireless Visual Sensor Networks by Wei Li

“…Experimental results show that the proposed observation correlation coefficient can model the correlation characteristics of visual information in WVSN. Further simulations show that the correlation-based camera activation scheme has satisfied performance in target tracking compared with other sensor selection methods.…”
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Artificial Visual System for Stereo-Orientation Recognition Based on Hubel-Wiesel Model by Bin Li, Yuki Todo, Zheng Tang

“…Our explanation for the generation of stereo-orientation selectivity offers a reliable, explainable, and robust approach for extracting spatial features and provides a straightforward modeling method for neural computation research.…”
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Application of artificial intelligence visual analysis technology in classroom English teaching evaluation by Hui Wang

“…This study uses advanced artificial intelligence technology to provide scientific and objective quantitative methods for classroom teaching evaluation and provides specific data support for teachers to improve teaching strategies, which is conducive to improving the overall teaching quality and students' learning effect.…”
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When buildings become barriers: assessing the impact of building height on the equality of emergency medical services accessibility—a dual-trip study in Wuhan, China by Weicong Luo, Yuanyuan Zhu, Zihan Yang, Fei Wang, Yue Wang

“…Methods EMS accessibility was measured using a proximity-based method and a Gaussian two-step floating catchment area (G-2SFCA) model under two scenarios: Scenario 1 considered only DRT, whereas Scenario 2 incorporated both DRT and PAT influenced by building heights. …”
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The impact of Woods' model on the development of visual thinking among fifth preparatory students by Taha Bunyan Sultan, Sadiq Ali Bunyan

“… The research aims to identify the effect of the Woods’ model in developing visual thinking for Fifth preparatory students, and to achieve the goal of the research, the researcher followed the procedures of the experimental approach, as the researchers prepared educational plans according to the Woods model, after the researcher confirmed their validity by presenting them to a group of experts and arbitrators, prepared The two researchers used a test for visual thinking, after confirming its sincerity and reliability, the two researchers used the following statistical methods: (T-test for Two separate samples, Pearson correlation coefficient, and Alpha Cronbach's laboratory equation), and after analyzing the results statistically, the researchers reached the effectiveness of the Woods model in developing visual thinking, and through the results reached by the researcher, a number of recommendations and proposals were presented. …”
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