On the role of visual feedback and physiotherapist-patient interaction in robot-assisted gait training: an eye-tracking and HD-EEG study by Francesca Patarini, Federica Tamburella, Floriana Pichiorri, Shiva Mohebban, Alessandra Bigioni, Andrea Ranieri, Francesco Di Tommaso, Nevio Luigi Tagliamonte, Giada Serratore, Matteo Lorusso, Angela Ciaramidaro, Febo Cincotti, Giorgio Scivoletto, Donatella Mattia, Jlenia Toppi

“…Methods Ten individuals with incomplete Spinal Cord Injury (C or D ASIA Impairment Scale level) were assessed using eye-tracking (ET) and high-density EEG during seven t-RAGT sessions with Lokomat where (i) three types of visual FB (chart, emoticon and game) and (ii) three levels of Pht-Pt interaction (low, medium and high) were randomly combined. …”
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Automatic segmentation and volume measurement of anterior visual pathway in brain 3D-T1WI using deep learning by Yongliang Han, Haixiang Wang, Qi Luo, Jingjie Wang, Chun Zeng, Qiao Zheng, Linquan Dai, Yiqiu Wei, Qiyuan Zhu, Wenlong Lin, Shaoguo Cui, Yongmei Li

“…We aim to explore the feasibility of automatic AVP segmentation and volume measurement in brain T1-weighted imaging (T1WI) using the 3D UX-Net deep-learning model.MethodsClinical data and brain 3D T1WI from 119 adults were retrospectively collected. …”
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Research on Pedestrians’ Visual Perception Characteristics Based on USGGS: A Case Study of the Six Inner-City Districts of Tianjin by Hanwen YANG, Shang’en TSOU, Yike HU

“…The core objective of the research is to propose strategies to optimize the greening structure of urban streets by analyzing the correlation between USGGS and visual perception of pedestrians, so as to enhance the quality of the visual environment of street pedestrians, improve the urban human settlement environment and promote the organic integration of the urban ecological and humanistic environments, thus providing a new way of thinking for urban planning and construction, and promoting the high-quality and sustainable development of urban street space.MethodsThe research selects the six inner-city districts of Tianjin City as the research area, utilizes Baidu street view image (SVI) as data source, and collect SVIs and their coordinates in the six districts in 2019 by calling Baidu API, with a total of 17,326 points selected and 13,281 valid samples obtained after screening. …”
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Introducing the pictogram-based ocular motor and visual-perceptual symptom scale: a multinational, cross-cultural feasibility study by Ali A. Melliti, Raymond Van de Berg, Evangelos Anagnostou, Ondrej Cakrt, Christian Chabbert, Wolfgang Heide, Christoph Helmchen, Jaroslav Jerabek, Erna Kentala, Hassen Kerkeni, Nehzat Koohi, Christophe Lopez, Leonel Luis, Dara Meldrum, Dusan Pavlovic, Maritta Spiegelberg, Luc Vereeck, Eva Grill, Eva Grill, Eva Grill, Klaus Jahn, Maja Striteska, Maja Striteska, Sophie Vanbelle, Andreas Zwergal, Andreas Zwergal, Johannes Gerb, Johannes Gerb

“…BackgroundPatients with vestibular and ocular motor disorders often perceive oscillopsia, diplopia or visual hallucinations as their chief complaint. However, they often struggle with verbalizing these subjective ocular motor and visual-perceptual signs precisely, which complicates a correct diagnostic classification of the suspected pathogenic mechanism.MethodsIn this multinational and cross-cultural feasibility study, a novel pictogram-based scale of 10 common ocular motor and visual-perceptual symptoms (called Pictogram Ocular Motor and Visual-Perceptual Symptom Scale, POVSS) was developed and validated. …”
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Autosomal dominant HK1-related neurodevelopmental disorder with visual defects and brain anomalies (NEDVIBA): An emerging mitochondrial disorder by Bobby G. Ng, Erik A. Eklund, Jill A. Rosenfeld, Abdallah F. Elias, Aya Abu-El-Haija, Celine Bris, Magalie Barth, Jong-Hee Chae, Murim Choi, Holly A. Dubbs, Carl Fratter, Nicola Foulds, Candace Gamble, Ralitza H. Gavrilova, Jaclyn Haven, Trevor L. Hoffman, Jill V. Hunter, Austin Larson, Timothy Edward Lotze, Pilar Magoulas, Emily C. Magness, Debra M. Bootin, Eric D. Marsh, Victoria Nesbitt, Matthew T. Pastore, Joanna Poulton, Shamima Rahman, Fernando Scaglia, Chaya Murali, Jennifer Posey, Joshua Rotenberg, Betsy Schmalz, Deepali N. Shinde, Zöe Powis, Rivka Sukenik-Halevy, Kristen V. Truxal, Tami Uster, Matheus Vernet Machado Bressan Wilke, Erik Klee, Hyewon Woo, Donald Younkin, Jianhua Zhao, Jorge Granadillo, Seema Lalani, David Chitayat, Wendy K. Chung, Hudson H. Freeze, Volkan Okur

“…Methods: We present molecular and clinical data on 22 additional individuals with heterozygous, mostly de novo, variants in HK1. …”
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Signal subtraction using nanosecond optical pulses with two different pulse energies in two-photon photoacoustic microscopy (TP-PAM) with a ring-shaped acoustic transducer to evalu... by Takashi Kaneko, Seiji Maehara, Shujiro Hamano, Yoshihisa Yamaoka, Akira Kimoto

“…The combination of the subtraction method and ring-shaped acoustic transducer in TP-PAM allows visualization of the edge of a target filled with a mixed solution of two-photon and one-photon absorbers and precise estimation of the thickness of the target.…”
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Quantitative Evaluation of Value for Money in Sponge City Construction Public–Private Partnership Projects Through a System Dynamics Model by Heng Zhang, Jiang Chang, Tianci Lin

“…The quantitative evaluation of value for money (VFM) is an evaluation method that obtains quantitative values through a certain calculation process. …”
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Design of a TSR-based project learning strategy for biochemistry undergraduate teaching and research labs: a case study by Camille R. Reaux, Shelby A. Meche, Jordan M. Grider, Soundharya Dhanabal, Tarikul I. Milon, Feng Chen, Wu Xu

“…To assess students’ performance, we have developed an assessment rubric that includes (i) demonstration of supercomputer skills in job script preparation, submission and monitoring, (ii) skills in preparation of datasets, (iii) data analytical skills, (iv) project report, (v) presentation, and (vi) integration of the TSR-based method with other computational methods (e.g., molecular 3D structural visualization and protein sequence analysis). …”
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“Talking the Same Language”: The Influence of Sharing a Visual Impairment Identity Between Researchers and Participants on Enhancing Participant Recruitment and Fostering Rapport D... by Ibrahim Emara

“…Interviews are increasingly being recognized as a valuable data collection method among researchers conducting studies involving individuals with visual impairments. …”
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Real-Time Integration of Optical Coherence Tomography Thickness Map Overlays for Enhanced Visualization in Epiretinal Membrane Surgery: A Pilot Study by Ferhat Turgut, Keisuke Ueda, Amr Saad, Tahm Spitznagel, Luca von Felten, Takashi Matsumoto, Rui Santos, Marc D. de Smet, Zoltán Zsolt Nagy, Matthias D. Becker, Gábor Márk Somfai

“…(1) Background: The process of epiretinal membrane peeling (MP) requires precise intraoperative visualization to achieve optimal surgical outcomes. This study investigates the integration of preoperative Optical Coherence Tomography (OCT) images into real-time surgical video feeds, providing a dynamic overlay that enhances the decision-making process during surgery. (2) Methods: Five MP surgeries were analyzed, where preoperative OCT images were first manually aligned with the initial frame of the surgical video by selecting five pairs of corresponding points. …”
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Enhancing Visual Perception in Immersive VR and AR Environments: AI-Driven Color and Clarity Adjustments Under Dynamic Lighting Conditions by Maryam Abbasi, Paulo Váz, José Silva, Pedro Martins

“…This system adapts to dynamic lighting conditions, addressing the shortcomings of traditional methods like histogram equalization and gamma correction, which struggle with rapid lighting changes and real-time user interactions. …”
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Measurement and deformation monitoring system for underground engineering robots based on Internet of Things architecture by Yao Di

“…However, the traditional method took 15 h, i.e., the system based on the IoT was 11 h faster than the conventional method. …”
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Longer operative times but equally safe - a propensity score-matched analysis for laparoscopic procedures in women with early-stage (r-ASRM I-II) endometriosis performed by gynecol... by Mona W. Schmidt, Anja Rosin, Sabine Schmidt, Joscha Steetskamp, Valerie C. Linz, Karin Rodewald, Lina Schiestl, Katharina Gillen, Marco J. Battista, Kathrin Stewen, Annette Hasenburg, Roxana Schwab

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KELVIN PROBE SELF-CALIBRATION MODE FOR SEMICONDUCTOR WAFERS PROPERTIES MONITORING by R. I. Vorobey, O. K. Gusev, A. L. Zharin, A. N. Petlitsky, V. A. Pilipenko, A. S. Turtsevitch, A. K. Tyavlovsky

“…Improvement of repeatability and reliability of semiconductor wafers properties monitoring with a probe charge-sensitive methods is achieved by realization of Kelvin probe self-calibration mode using a wafer’s surface itself as a reference sample. …”
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Navigation Map Construction Based on Semantic Segmentation and Multi-Submap Integration by Gang Li, Chen Huang, Jian Yu, Hao Luo

“…Furthermore, traditional visual SLAM methods rely on local relative coordinate systems, making it extremely challenging to merge mapping results from different coordinate frames in navigation systems lacking global positioning constraints. …”
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Mixed reality infrastructure based on deep learning medical image segmentation and 3D visualization for bone tumors using DCU-Net by Kun Wang, Yong Han, Yuguang Ye, Yusi Chen, Daxin Zhu, Yifeng Huang, Ying Huang, Yijie Chen, Jianshe Shi, Bijiao Ding, Jianlong Huang

“…Then, two surgeons conducted clinical examination experiments on patients using two different methods, viewing 2D images and virtual reality infrastructure, and used the Likert scale (LS) to compare the effectiveness of surgical plans of the two methods. …”
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Research on deep learning framework for multi scale information graph generation and visualization enhancement based on self attention generative Adversarial Network by Qian Zhou

“…The framework incorporates a multi-scale feature extraction method to optimize the feature maps at each layer of the generative network. …”
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MATLAB Application for User-Friendly Design of Fully Convolutional Data Description Models for Defect Detection of Industrial Products and Its Concurrent Visualization by Fusaomi Nagata, Shingo Sakata, Keigo Watanabe, Maki K. Habib, Ahmad Shahrizan Abdul Ghani

“…In particular, a systematic threshold determination method is proposed to obtain the best performance for defect detection from FCDD models. …”
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Research on insider threat detection based on personalized federated learning and behavior log analysis by Xiaoyun Ye, Faqin Luo, Huangrongbin Cui, Jinlong Wang, Xiaoyun Xiong, Wencui Zhang, Jiawei Yu, Wenhao Zhao

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Optimizing surgical field visualization in total knee arthroplasty: a randomized controlled trial comparing esmarch bandages and simple leg elevation by Sirisak Chaitantipongse, Natthapong Hongku, Satit Thiengwittayaporn

“…Methods Patients who underwent primary unilateral TKA (n = 100) were randomized and equally divided into the Esmarch bandage (EM group) and simple leg elevation (LE group) groups. …”
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