Real-World Healthcare Resource Utilization, Healthcare Costs, and Injurious Falls Among Elderly Patients with Geographic Atrophy by Sarda SP, Germain G, Mahendran M, Klimek J, Cheng WY, Luo R, Duh MS

“…Endpoints included all-cause and ophthalmic condition-related healthcare resource utilization (HRU), injurious falls, and healthcare costs. …”
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Methodological aspects of the application of audio-visual tools for learning a foreign language and translation at the university by Nina V. Popova, Maria M. Stepanova, Anna V. Kuzmina

“…The paper discusses the methodological aspects of audio-visual materials use in teaching students a foreign language and translation. …”
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Implementation of Kolmogorov–Arnold Networks for Efficient Image Processing in Resource-Constrained Internet of Things Devices by Anargul Shaushenova, Oleksandr Kuznetsov, Ardak Nurpeisova, Maral Ongarbayeva

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The CLASS (Cerebral visual impairment Learning and Awareness for School Staff) Pilot Study: An evaluation of the awareness of CVI amongst teachers and comparative evaluation of two different educational resources on understanding. by Aloka Jayasinghe, Helen St Clair Tracy, John Ravenscroft, Andrew Blaikie

“…Cerebral visual impairment (CVI) is the leading cause of visual impairment in children in high income countries. …”
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The CLASS (Cerebral visual impairment Learning and Awareness for School Staff) Pilot Study: An evaluation of the awareness of CVI amongst teachers and comparative evaluation of two different educational resources on understanding by Aloka Jayasinghe, Helen St Clair Tracy, John Ravenscroft, Andrew Blaikie

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Multimodal Evaluation of Warmth Perception in Wood: An Experimental Study Based on Visual, Tactile, and Visual-Tactile Interactions by Yue Zhang, Wei Xiong, Yeyingzi Guo, Peixing Wei, Songlin Yi

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RELIABILITY OF THE HIGH-SPEED CAMERA-BASED SYSTEM (HSC-KINOVEA) FOR LOWER-LIMB EXPLOSIVE STRENGTH ENDURANCE ASSESSMENT IN ATHLETES by Carlos Gilberto de Freitas-Junior, Pedro Pinheiro Paes, Leonardo de Sousa Fortes, Alessandro José da Silva, Manoel da Cunha Costa, Dalton Roberto Alves Araújo de Lima-Junior, Tony Meireles Santos

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MultiBanFakeDetect: Integrating advanced fusion techniques for multimodal detection of Bangla fake news in under-resourced contexts by Fatema Tuj Johora Faria, Mukaffi Bin Moin, Zayeed Hasan, Md. Arafat Alam Khandaker, Niful Islam, Khan Md Hasib, M.F. Mridha

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The Lived Experiences of Teachers with Visual Impairments in the Inclusion of Students with Visual Impairments: A Phenomenological Study by Ayşe Dilşad Yakut, Hatice Şengül Erdem

“…This study aims to reveal the lived experiences of teachers with visual impairments (VI) in the inclusion of students with VI. …”
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“VisualFields Easy”: an iPad Application as a Simple Tool for Detecting Visual Field Defects by Angelane S. Santos, MD, Evelyn S. Morabe, MD

“…The application is not intended to replace standard automated perimetry machines, but it may have a role in detecting, documenting and monitoring visual field defects in low resource settings where visual field tests are not available.…”
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The Influence of Multimodal Visual Methodologies on EFL University Students’ Audio-Visual Comprehension, Verbal and Nonverbal Communication by Ibrahim Hassan Ali Al-jumaily, Istabraq Tariq Jawaad Alazzawi

“… Background: Technological devices and multimedia resources are enhancing verbal communication in language learning. …”
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Water Volume and 3D Topographic Analysis of Hub Dam, Karachi, Using Remote Sensing and Global Bathymetry Data by Imran Ahmed Khan, Altaf Hussain Lahori

Subjects: “…3d visualization…”
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A Survey of Visual Sensor Networks by Stanislava Soro, Wendi Heinzelman

“…Visual sensor networks have emerged as an important class of sensor-based distributed intelligent systems, with unique performance, complexity, and quality of service challenges. …”
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Computing the Deep Semantics of Visual Communications by Trpimir Jeronim Ježić, Marko Maričević, Ivana Pavlović, Miroslav Mikota

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Parallel visualization of reservoir models with ParaView by Oleg Kovalevskiy, Michel Cancelliere

“…These important findings can help with faster visualization and increase the capabilities of the existing computational resources.…”
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Review of malware detection and classification visualization techniques by Jinwei WANG, Zhengjia CHEN, Xue XIE, Xiangyang LUO, Bin MA

“…With the rapid advancement of technology, network security faces a significant challenge due to the proliferation of malicious software and its variants.These malicious software use various technical tactics to deceive or bypass traditional detection methods, rendering conventional non-visual detection techniques inadequate.In recent years, data visualization has gained considerable attention in the academic community as a powerful approach for detecting and classifying malicious software.By visually representing the key features of malicious software, these methods greatly enhance the accuracy of malware detection and classification, opening up extensive research opportunities in the field of cyber security.An overview of traditional non-visual detection techniques and visualization-based methods were provided in the realm of malicious software detection.Traditional non-visual approaches for malicious software detection, including static analysis, dynamic analysis, and hybrid techniques, were introduced.Subsequently, a comprehensive survey and evaluation of prominent contemporary visualization-based methods for detecting malicious software were undertaken.This primarily encompasses encompassed the integration of visualization with machine learning and visualization combined with deep learning, each of which exhibits distinct advantages and characteristics within the domain of malware detection and classification.Consequently, the holistic consideration of several factors, such as dataset size, computational resources, time constraints, model accuracy, and implementation complexity, is necessary for the selection of detection and classification methods.In conclusion, the challenges currently faced by detection technologies are summarized, and a forward-looking perspective on future research directions in the field is provided.…”
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Evaluating the burden of caregivers of patients with visual impairment: a multicenter pilot study in Italian visual rehabilitation centers by Gianni Virgili, Gianni Virgili, Francesco Ferron, Federico Bartolomei, Ruth Van Nispen, Eliana Costanzo, Giovanni L. Ciaffoni, Emanuela Rellini, Emanuela Rellini, Simona Turco, Simona Turco, Marina Piepoli, Simona Di Pietro, Stefania Fortini, Stefania Fortini

“…IntroductionDespite growing evidence that underscores the importance of the caregiver’s role in the rehabilitation process, visual rehabilitation (VR) programs often overlook these needs. …”
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Interoperability of health data using FHIR Mapping Language: transforming HL7 CDA to FHIR with reusable visual components by Igor Bossenko, Rainer Randmaa, Gunnar Piho, Peeter Ross, Peeter Ross

“…The need for such a solution arises from the ongoing transition of the Estonian National Health Information System (ENHIS) from Clinical Document Architecture (CDA) to Fast Healthcare Interoperability Resources (FHIR), but it is general enough to be used for other data transformation needs, including the European Health Data Space (EHDS) ecosystem.ConclusionThe proposed tool and techniques simplify health data transformation by allowing domain experts to specify and validate the necessary data transformation rules and maps. …”
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Progress of Biogas Upgrading Based on Citespace Visual Analysis by Dongxue Yin, Dongdong Chen, Jiajun Qin, Baozhong Wang, Wei Liu, Yingxian Wang

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