Enhancing the visual environment of urban coastal roads through deep learning analysis of street-view images: A perspective of aesthetic and distinctiveness. by Yu Zhang, Xing Xiong, Shanrui Yang, Qinghai Zhang, Minghong Chi, Xiaoyu Wen, Xinyu Zhang, Junwei Wang

“…This study integrates deep learning with human perception data sourced from street view images to study the relationship between visual landscape features and human perception of urban waterfront areas, employing linear regression and random forest models to predict human perception along urban coastal roads. …”
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How perceived eWOM in visual form influences online purchase intention on social media: A research based on the SOR theory. by Chi Thanh Bui, Thi Thuy An Ngo, Huynh Khanh Long Chau, Nguyen Phuc Nguyen Tran

“…Using Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze data from 335 social media users, this study examines the effects of visual eWOM's quality, quantity, and credibility on consumer perceptions, attitudes, and ultimately their purchase intentions. …”
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Investigation of the relation between visual pollution and citizenry health in the city of Tehran (case study: municipality districts No.1 & 12 of Tehran) by Mojgan Zaeimdar, Forouzan Khalilnezhad Sarab, M Rafati

“…Results: The results of the analysis of the data obtained from the questionnaire revealed a significant relationship between visual contamination and four health indicators of citizens including physical signs, social function, anxiety, insomnia and depression. …”
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The Influence of Visual Merchandising, Price Discounts, and Shopping Lifestyle on Impulse Buying Behavior of Generation Z at Miniso Store Galaxy Mall Surabaya by Decinta Putri Ariani, Siti Ning Farida

“…Multiple linear regression analysis was employed to analyze the data, which was processed using SPSS version 27. …”
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A Method for Measuring the Visual Coherence of Buildings in Residential Historic Areas: A Case Study of the Xiaoxihu Historic Area in Nanjing, China by Yipin Xu, Zejia Pan

“…It collected visual data through photography, with deep learning and computer graphics processing tools being utilized to identify and extract the visual elements. …”
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Participatory Visual Methods and the Mobilization of Community Knowledge: Working Towards Community-Derived Disaster Risk Management in the Context of Advancing Climate Change by Gillian F. Black, Leif Petersen, Tsitsi J. Mpofu-Mketwa, Liezl Dick, Anna Wilson, Sikhululekile Ncube, Amber Abrams, Kirsty Carden, Jen Dickie, Niall Hamilton-Smith, Laurence Piper, Guy Lamb

“…We then facilitated a process of participatory analysis, triangulation of data and democratic decision-making amongst the co-researchers, through which they formulated a series of community-derived ‘Best Bets’ to better manage disaster risks. …”
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Diagnostic Possibilities of Standard Automatic and FunctionSpecific Perimetry (HFA, Octopus) in the Study of the Visual Field in Patients with Compression in the Chiasm-Sellar Regi... by N. A. Gavrilova, E. E. Ioyleva, N. S. Gadzhieva, O. E. Tishchenko, N. Yu. Kutrovskaya, A. V. Zinov’eva

“…The analysis of research results using traditional and function-specific perimetry with selective stimulation of the magnocellular and koniocellular (frequency-doubling technology perimetry, FDT; short-wavelength automated perimetry, SWAP) visual pathways was performed. The literature data analysis allows us to conclude that the static perimetry for the study of the visual field in patients with chiasmatic compression is carried out quite widely and is informative. …”
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Rates of visual field change and functional progression in glaucoma following trabecular microbypass implantation of iStent technologies: a meta-analysis by Kevin Gillmann, Dana M Hornbeak

“…Reports with follow-up durations <12 months, retention rates <75% and missing VF data were excluded. Fifteen studies reporting on 1115 eyes were identified. …”
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QPPLab: A generally applicable software package for detecting, analyzing, and visualizing large-scale quasiperiodic spatiotemporal patterns (QPPs) of brain activity by Nan Xu, Behnaz Yousefi, Nmachi Anumba, Theodore J. LaGrow, Xiaodi Zhang, Shella Keilholz

“…Quasi-periodic patterns (QPPs) are prominent spatiotemporal brain dynamics observed in functional neuroimaging data, reflecting the alternation of high and low activity across brain regions and their propagation along cortical gradients. …”
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Exploring the Relationship Between Visual Perception of the Urban Riverfront Core Landscape Area and the Vitality of Riverfront Road: A Case Study of Guangzhou by Shawei Zhang, Junwen Lu, Ran Guo, Yiding Yang

“…Furthermore, we evaluated the vitality of Riverfront Road through a four-step process: 1. measuring key visual indices of Riverfront Road, including the green view index (GVI), water view index (WVI), sky view index (SVI), and building view index (BVI); 2. evaluating the proximity of cultural landmarks to Riverfront Road; 3. calculating the convenience of driving, buses, and subways for Riverfront Road with the network analysis method; 4. deriving the vitality value of Riverfront Road through the combination of hotspot data from Baidu. …”
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Acceptability of a home-based visual field test (Eyecatcher) for glaucoma home monitoring: a qualitative study of patients’ views and experiences by David F Edgar, David P Crabb, Deanna J Taylor, Pete R Jones, Peter Campbell, Lee Jones, Tamsin Callaghan, Daniel S Asfaw

“…Objectives To explore the acceptability of home visual field (VF) testing using Eyecatcher among people with glaucoma participating in a 6-month home monitoring pilot study.Design Qualitative study using face-to-face semistructured interviews. …”
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Evaluating the Impact of Visual Arts Teachers’ Assessment Strategies on Lifelong Learning in Practical Artworks in Senior High Schools in the Ashanti Region, Ghana by Atta Kusi Ankrah, Victor Boateng Nimoh, Kenneth Osei Yeboah, Mohammed Ibrahim

“…Lifelong learning skills are critical in Visual Arts education, equipping students with the ability to adapt to the creative industry’s evolving demands. …”
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Development of a visualized risk prediction system for sarcopenia in older adults using machine learning: a cohort study based on CHARLS by Jinsong Du, Jinsong Du, Xinru Tao, Le Zhu, Heming Wang, Wenhao Qi, Xiaoqiang Min, Xiaoqiang Min, Shujie Wei, Xiaoyan Zhang, Qiang Liu

“…IntroductionThe older adult are at high risk of sarcopenia, making early identification and scientific intervention crucial for healthy aging.MethodsThis study utilized data from the China Health and Retirement Longitudinal Study (CHARLS), including a cohort of 2,717 middle-aged and older adult participants. …”
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Anthropometric Characteristics, Age, Sex, Drop Height, and Visual Feedback as Predictors of Dynamic Knee Valgus During Single-Leg Drop Landing by Nuno Casanova, David Correia, Priscila Marconcin, Fábio Flôres, Denise Soares, Rodrigo Ruivo

“…Significant weak negative correlations with DKV were found for age, BMI, thigh length, and leg length. These data suggest that women may have higher DKV, anatomical variables may be associated with DKV, and visual feedback may have the potential to attenuate its occurrence. …”
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Effects of physical activity on visual outcomes among type 2 diabetes patients: protocol for a scoping review of randomized controlled trials by Ebenezer Oduro Antiri, Thomas Hormenu, Stephen Ocansey, Edward Wilson Ansah

“…The data will be extracted, charted, and analyzed to give an overview of the interrelations of the variables in the literature. …”
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Performance Enhancement of Steady-State Visual Evoked Field-Based Brain–Computer Interfaces Incorporating MEG Source Imaging by Ye-Sung Kim, Hyojeong Han, Cheong-Un Kim, Soo-In Choi, Min-Young Kim, Chang-Hwan Im

“…Additionally, the ASLW-FBMSI algorithm exhibited a short processing delay of 0.107 s at a 4-s data length and was successfully validated in online BCI experiments with 20 participants. …”
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A State-of-the-Art Review in Big Data Management Engineering: Real-Life Case Studies, Challenges, and Future Research Directions by Leonidas Theodorakopoulos, Alexandra Theodoropoulou, Yannis Stamatiou

“…In-depth analysis of large datasets to support strategic decision-making and innovation is the main focus of this paper’s exploration of big data management engineering. A thorough examination of the basic elements and approaches necessary for efficient big data use—data collecting, storage, processing, analysis, and visualization—is given in this paper. …”
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Current status and trends of machine learning applied in clinical research of gastric cancer from 2004 to 2023: global bibliometric and visual analysis by Xinyi Wang, Chao Wu, Siqing Yue, Siqing Yue, Mengyuan Zhou, Enba Zhuo, Xin Wu, Yafen Wang, Yafen Wang, Bangjie Chen, Fan Wang

“…VOSviewer (version 1.6.16) and CiteSpace (version 5.8.R3) were utilized to visualize the corresponding data.ResultsWe analyzed and evaluated 425 articles authored by 2,899 researchers from 825 organizations across 52 countries (regions). …”
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Assessment of the reliability and validity of visual analog scale for abdominal pain among selected school students from selected schools at Kanyakumari district by M. S. Praythiesh Bruce, A. Surekha, R. Karnaboopathy, K. U. Suresh Balan, Vijay K. Chavada, Vedapriya, Abhijit V. Boratne, Prateek Bobhate, T. K. Raja

“…Despite growing concerns, there is a lack of research on using the Visual Analog Scale (VAS) to assess abdominal pain specifically among school students. …”
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Assessing the changes in eye optics and visual functions in patients with insulin-dependent type 2 diabetes mellitus and their relationship with blood glucose level by L. A. Mineeva, L. I. Balashevich, A. A. Baranov, L. B. Shubin, A. V. Kabanov

“…Conclusions. According to our data, during the development of diabetic cataracts in patients with type 2 IPSD, NO of the lens changes first followed by C changes (they become worse). …”
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