Eye tracking-based dual task in rehabilitation of motor and cognitive function in post-stroke patients: a literature review by Marcella Sugianto, Yuda Zhou, Jifang Qiu

“…Recently, the world of rehabilitation has been revolutionized by groundbreaking methods that utilize eye tracking technology. To address motor dysfunction and/or cognitive dysfunction, these innovative approaches are transforming traditional dual-task rehabilitation methods for patients with stroke. …”
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Reimagining Kyokai: Layered Permeability in Yoshiji Takehara’s Modern Residences by Luyang Li, Yan Chen, Houjun Li

“…Analyzing 78 independent residential projects by Takehara and incorporating his interview texts, the research employs spatial typology and statistical methods to quantify the characteristics of boundary configurations, such as building contour morphology, opening orientations, and transitional space types, to reveal the internal logic of his design strategies. …”
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UW-DETR: Feature Fusion Enhanced RT-DETR for Improving Underwater Object Detection by Xingkun Li, Yugang Wang, Yuhao Zhao, Guodong Chen

“…These methods are not sufficiently equipped to effectively address the challenge of underwater object detection. …”
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Detecting hate in diversity: a survey of multilingual code-mixed image and video analysis by Hafiz Muhammad Raza Ur Rehman, Mahpara Saleem, Muhammad Zeeshan Jhandir, Eduardo Silva Alvarado, Helena Garay, Imran Ashraf

“…A thorough examination of hate speech detection methods in a variety of settings, such as code-mixed, multilingual, visual, audio, and textual scenarios, is presented in this paper. …”
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Ultrasonographic assessment of optic nerve: does it help in lupus-induced optic neuropathy? by Amira Elsonbaty, Abdallah El-Sayed Allam, Doaa M Mahmoud, Sara Alattar, Ahmed Hosny Shaaban

“…An ophthalmologist examined all lupus patients and visual evoked potential (VEP) was performed to help evaluate the rule of NMUS in lupus-induced optic neuropathy.Results In this study, we include 140 subjects, 65 lupus patients and 75 controls. …”
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Pansharpening Applications in Ecological and Environmental Monitoring Using an Attention Mechanism-Based Dual-Stream Cross-Modality Fusion Network by Bingru Li, Qingping Li, Haoran Yang, Xiaomin Yang

“…Through extensive experiments, the DCMFN demonstrates superior performance over existing methods on three remote sensing datasets, excelling in both objective evaluation metrics and visual quality.…”
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Enhancing the Recognition of Collinear Building Patterns by Shape Cognition Based on Graph Neural Networks by Fubing Zhang, Qun Sun, Wenjun Huang, Youneng Su, Jingzhen Ma, Ruixing Xing

“…Based on the CPR model, false recognitions can be avoided, and recognition results similar to those of visual cognition can be obtained. Compared with the comparative methods, both models have significant advantages in terms of statistical results and implementation.…”
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Exploring Attributions in Convolutional Neural Networks for Cow Identification by Dimitar Tanchev, Alexander Marazov, Gergana Balieva, Ivanka Lazarova, Ralitsa Rankova

“…Face recognition and identification is a method that is well established in traffic monitoring, security, human biodata analysis, etc. …”
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Manifestations of Bardet-Biedl syndrome by Kristine T. Lo, MD, Juancho Remulla, MD, Alvina Pauline Santiago, MD

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Malignant Melanoma of the Conjunctiva by Grace R. Dizon, MD, Leonardo R. Mangubat, MD, Alexander D. Tan, MD

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The importance of different preoperative factors in the prognosis of functional results of uncomplicated surgery for idiopathic epimacular membranes by S. G. Toropygin, S. V. Nazarova, A. N. Maslov

“…At the same time, the baseline visual acuity and central retinal thickness had the biggest impact on the visual acuity achieved by surgery. …”
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Emotion Detection and Student Engagement in Distance Learning During Containment Due to the COVID-19 by Benyoussef Abdellaoui, Ahmed Remaida, Zineb Sabri, Younes EL BOUZEKRI EL IDRISSI, Aniss Moumen

“…In this research, a mechanism has been developed to estimate student engagement levels and emotions. Visual data from recorded videos of students participating in learning courses are utilized due to the availability of multiple methods for measuring student engagement levels. …”
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Differentiating atypical parkinsonian syndromes with hyperbolic few-shot contrastive learning by Won June Choi, Jin HwangBo, Quan Anh Duong, Jae-Hyeok Lee, Jin Kyu Gahm

“…Experimental results demonstrate significantly improved performance over conventional methods, as validated by ablation studies and visualizations.…”
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Comparative analysis and application of rockburst prediction model based on secretary bird optimization algorithm by Tengjie Yang, Tengjie Yang, Xinqiang Gao, Xinqiang Gao, Lichuan Wang, Yongqing Xue, Haobo Fan, Zhengguo Zhu, Zhengguo Zhu, Jingbo Zhao, Beiyi Dong, Beiyi Dong

“…The reliability of the proposed feature selection, model optimization, and data balancing methods was verified by comparing the optimal model with other methods. …”
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Evaluation and spatiotemporal evolution of veterinary talent competitiveness: a new perspective of veterinary education by Xianhang Xu, Mohd Anuar Arshad, Yugang Jian, Arshad Mahmood, Mengdie Dong

“…It proposes a visual method to analyze the level and spatiotemporal evolution of veterinary talent competitiveness using the Entropy method and ArcGIS tools, with Western China as a case study. …”
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Multimodal Prompt-Guided Bidirectional Fusion for Referring Remote Sensing Image Segmentation by Yingjie Li, Weiqi Jin, Su Qiu, Qiyang Sun

“…In the early fusion stage, it conducts the deep fusion of linguistic and visual features through cross-modal prompt coupling. …”
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HETMCL: High-Frequency Enhancement Transformer and Multi-Layer Context Learning Network for Remote Sensing Scene Classification by Haiyan Xu, Yanni Song, Gang Xu, Ke Wu, Jianguang Wen

“…To solve this problem, we propose a novel method based on High-Frequency Enhanced Vision Transformer and Multi-Layer Context Learning (HETMCL), which can effectively learn the comprehensive features of high-frequency and low-frequency information in visual data. …”
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Detection of Microbial Growth on Indoor Building Materials in Two Countries Using qPCR by Helena Rintala, Oliver Röhl, Pinja Tegelberg, Teija Meklin

“…Hence, qPCR has great potential to become a standard method of detecting microbes in indoor environments.…”
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Breast Cancer Histopathological Image Classification Based on High-Order Modeling and Multi-Branch Receptive Fields by Mengda Zhao, Cunqiao Hou, Lu Cao, Jianxin Zhang

“…Existing convolutional neural network (CNN) methods primarily depend on first-order feature modeling, which makes it challenging to effectively capture higher-order features in breast cancer histopathological images. …”
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The impact of children’s dental anxiety on dentists by V. A. Katyukhina, I. A. Nikolskaya, I. Yu. Gileva, L. A. Sokolov, A. S. Larina, D. F. Galiullina, S. Zh. Zhusupbekov

“…The study shows that in order to prevent burnout syndrome in pediatric dentists, it is necessary to reduce professional stress through methods of adapting children to treatment, correcting patient behavior and reducing dental anxiety.…”
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