Improvement strategies of athlete’s concentration level based on visual attention model by Jiabao Cui, Haiyang Zhou, Rongyang Chen, Danping Li, Weishan Mai, Weikun Peng, Qiusheng Long

“…Abstract Different athletes have different requirements and coping methods for concentration. Research based on visual attention models can help identify individual differences and propose targeted improvement strategies to improve the concentration level of each athlete, thereby enhancing their performance in competition. …”
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Evaluation of Science Education for Students with Visual Impairment: Views of Teachers and Administrators by Hikmet Sürmeli, Aydın Sellioğ

“…Therefore, this study aimed to examine the opinions of science teachers and school administrators working in secondary schools for the visually impaired about the difficulties encountered by students with visual impairment in science education and solution suggestions.Method: The present study was designed with case study, one of the qualitative research designs. …”
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Incorporating Topological Priors Into Low-Dimensional Visualizations Through Topological Regularization by Edith Heiter, Robin Vandaele, Tijl de Bie, Yvan Saeys, Jefrey Lijffijt

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Listen or Read? The Impact of Proficiency and Visual Complexity on Learners’ Reliance on Captions by Yan Li

“…The study employed a novel paused transcription method to assess real-time processing. A total of 64 participants (31 low-proficiency [A1–A2] and 33 high-proficiency [C1–C2] learners) viewed single- and multi-speaker videos with English captions. …”
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Commodity Image Classification Based on Improved Bag-of-Visual-Words Model by Huadong Sun, Xu Zhang, Xiaowei Han, Xuesong Jin, Zhijie Zhao

“…As a typical intermediate semantic representation method, the bag-of-visual-words (BoVW) model has received extensive attention in image classification. …”
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Adversarial Contrastive Autoencoder With Shared Attention for Audio-Visual Correlation Learning by Jiwei Zhang, Yi Yu, Suhua Tang, Wei Li

“…Most existing methods only take the first aspect into account, therefore facing the difficulty in distinguishing matched and mismatched semantic correlations between audio and visual sequences. …”
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Enhancing Visual Place Recognition With Hybrid Attention Mechanisms in MixVPR by Jun Hu, Jiwei Nie, Zuotao Ning, Chaolu Feng, Luyang Wang, Jingyao Li, Shuai Cheng

“…Visual Place Recognition (VPR) is a fundamental task in robotics and computer vision, where the ability to recognize locations from visual inputs is crucial for autonomous navigation systems. …”
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Explainable machine learning framework for cataracts recognition using visual features by Xiao Wu, Lingxi Hu, Zunjie Xiao, Xiaoqing Zhang, Risa Higashita, Jiang Liu

“…Finally, an ensemble multi-class ridge regression method is applied to recognize the cataracts severity levels based on the selected visual features. …”
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Modelling Annual Southern Appalachian Acorn Production Using Visual Surveys by Cathryn H. Greenberg

“…ABSTRACT Acorn production varies considerably among species, locations, and years with potential effects on populations of acorn‐consuming wildlife, oak (Quercus spp.) regeneration, and forest ecology. Methods to estimate annual acorn crop size include acorn‐trapping (quantitative) or visual surveys (indices or ranks). …”
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Obstacle Detection and Warning System for Visually Impaired Using IoT Sensors by Sunnia Ikram, Imran Sarwar Bajwa, Amna Ikram, Isabel de la Torre Diez, Carlos Eduardo Uc Rios, Angel Kuc Castilla

“…Ensuring safe and independent mobility for visually impaired individuals requires efficient obstacle detection systems. …”
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Light adaptive image enhancement for improving visual analysis in intercropping cultivation by Wei Zhong, Wanting Yang, Yunfei Wang, Xiang Dong, Xiaowen Wang, Weidong Jia, Mingxiong Ou, Mingde Yan

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Hierarchical Modeling for Medical Visual Question Answering with Cross-Attention Fusion by Junkai Zhang, Bin Li, Shoujun Zhou

“…To address these issues, this study proposes a Hierarchical Modeling for Medical Visual Question Answering with Cross-Attention Fusion (HiCA-VQA) method. …”
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Pavement Disease Visual Detection by Structure Perception and Feature Attention Network by Bin Lv, Shuo Zhang, Haixia Gong, Hongbo Zhang, Bin Dong, Jianzhu Wang, Cong Du, Jianqing Wu

“…Balancing detection performance and computational efficiency is critical for sustainable pavement disease detection in energy-constrained scenarios. However, existing visual methods often struggle to adapt to structural transformations and capture critical features of pavement diseases in complex environments, while their computational demands can be resource-intensive. …”
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Visual and anatomical outcomes of primary retinectomy for diabetic tractional retinal detachment by Ecem Onder Tokuc, Levent Karabas, Hatice Selen Kanar, Fatih Bilgehan Kaplan, Sevim Ayça Seyyar, Isıl Uslubas

“…Method Patients who underwent primary retinectomy during PPV for diabetic TRD were retrospectively evaluated. …”
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Gustatory-Visual Interaction in Human Brain Cortex: fNIRS Study by Karolina Jezierska, Aneta Cymbaluk-Płoska, Justyna Zaleska, Wojciech Podraza

“…The presented work aims to investigate, using fNIRS, whether a taste stimulus, in this case, the taste of bitter, also causes stimulation of the visual cortex in the fNIRS study. Methods: fNIRS was used to examine 51 participants (204 examinations, 9996 records), collecting signals from the left hemisphere. …”
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Visual nutrition analysis: leveraging segmentation and regression for food nutrient estimation by Yaping Zhao, Yaping Zhao, Ping Zhu, Ping Zhu, Yizhang Jiang, Kaijian Xia, Kaijian Xia

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EVALUATION OF THE RELIABILITY AND CONCORDANCE OF VISUAL WEIGHT ASSESSMENT IN WATER BUFFALO FEMALES by Jesús Ignacio Vázquez-Bolaina, Rosario E. Salazar-Cuytun, Alvar Alonzo Cruz-Tamayo, Roberto C. Barrientos-Medina, José Carlos Escobar-España, Ricardo A. Garcia-Herrera, Alfonso Juventino Chay-Canul

“…Correlations between observed BW and mean predicted BW for visual methods showed a positive and significant relationship (P<0.001), with an r value of 0.95. …”
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Establishment of a visualized mouse orthotopic xenograft model of nasopharyngeal carcinoma by Wei Chen, Wei-Min Chen, Si-Xia Chen, Li Jiang, Ge-Ge Shu, Yuan-Xiu Yin, Zhi-Peng Quan, Zi-Yan Zhou, Ming-Jun Shen, Ya-Ting Qin, Chao-Lin Yang, Xue-Jin Su, Min Kang

“…The aim of this study was to provide a simple and reliable method for building an orthotopic xenograft model of nasopharyngeal carcinoma. …”
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Smart bactericidal textile enabling in-situ visual assessment of antimicrobial activity by Amparo Ferrer-Vilanova, Josune Jimenez Ezenarro, Kristina Ivanova, Óscar Calvo, Ilana Perelshtein, Giulio Gorni, Ana Cristina Reguera, Rosalía Rodríguez-Rodríguez, Maria Blanes, Núria Vigués, Jordi Mas, Aharon Gedanken, Tzanko Tzanov, Gonzalo Guirado, Xavier Muñoz-Berbel

“…Here, we address these challenges by presenting a smart textile that simultaneously provides antibacterial activity and bacterial-sensing capacity using a layer-by-layer sonochemical deposition method. Prussian blue, a chromogenic bacterial-sensing probe, is integrated onto hospital-grade antibacterial fabrics containing copper oxide nanoparticles. …”
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Visual function and fine-motor control in small-for-gestational age infants Função visual e controle motor apendicular em lactentes pequenos para a idade gestacional by Heloisa G.R.G. Gagliardo, Vanda M.G. Gonçalves, Maria Cecilia M.P. Lima, Maria de Fatima de C. Francozo, Abimael Aranha Netto

“…OBJECTIVE: To compare visual function and fine-motor control of full-term infants small-for-gestational age (SGA) and appropriate for gestational age (AGA), in the first three months. …”
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