Scientific mapping and trend of conceptual change: A bibliometric analysis by Mohd Zaidi Bin Amiruddin, Achmad Samsudin, Andi Suhandi, Bayram Coştu, Binar Kurnia Prahani

“…This study investigates the trends, contributions, and impact of research in conceptual change from 2004 to 2024 through a bibliometric analysis of Scopus data. The Bibliometrix R package, Vosviewer, and Microsoft Excel were used to analyze and visualize the data. …”
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Img2Neuro: brain-trained neural activity encoders for enhanced object recognition by Mona A Aboelnaga, Mohamed W El-Kharashi, Seif Eldawlatly

“…By leveraging neural response data, Img2Neuro demonstrates a promising avenue for bridging the gap between biological and artificial visual processing, ultimately leading to novel strategies for improving state-of-the-art object recognition models.…”
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A geospatial analysis of Swedish 15-minute cities by Anthony Larsson, Andreas Hatzigeorgiou, Emily Nagler

“…This study employs a geospatial analysis to visualise data with a spatial components in order to identify notable patterns and trends. …”
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Valve cells are crucial for efficient cardiac performance in Drosophila. by Christian Meyer, Achim Paululat

“…Based on our data, we propose a model on how the Drosophila intracardiac valves support proper hemolymph flow and distribution, thereby optimising general heart performance.…”
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Comparing Cognitive Functions and Psychosocial Functioning of Euthymic Patients Having Bipolar Mood Disorder with Healthy Controls: A Cross-sectional Study by Divya Anidharan Rani, Shashwath M. Sathyanath, Ravichandra Karkal, Rohan Dilip Mendonsa, Anil Kakunje

“…Chi-square test, “t”- test, and Pearson’s correlation were used to analyze the data. Results: Compared to controls, cases took significantly more time for visual attention and task switching (P = 0.001), had poorer psychological functioning and speed (P = 0.001), and had poorer memory (P = 0.001). …”
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Adherence and factors influencing adherence to glaucoma medications among adult glaucoma patients in Ethiopia: A systematic review and meta-analysis. by Kibruyisfaw Weldeab Abore, Estifanos Bekele Fole, Mahlet Tesfaye Abebe, Natnael Fikadu Tekle, Robel Bayou Tilahun, Fraol Daba Chinkey, Michael Teklehaimanot Abera

“…Raised intraocular pressure could cause progressive visual field loss and blindness if left uncontrolled. …”
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Prompt-Based Granularity-Unified Representation Network for Remote Sensing Image-Text Matching by Minhan Hu, Keke Yang, Jing Li

“…Our approach includes two key modules: 1) the prompt-based feature aggregator, which dynamically aggregates fine-grained features into several granularity-unified tokens with fully semantic, and 2) the text-guided vision modulation, which further enhances visual representations by modulating the visual features with RS captions as language typically contains more precise semantic than visual data. …”
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Spectacle wear compliance and quality of life among youthful myopes in the Cape Coast metropolis, Ghana: a prospective cohort study by Samuel Kyei, Moses Obah, Randy Asiamah, Michael Agyemang Kwarteng, Rexford Gyaami

“…Also, a compliance information sheet was used to obtain data on compliance level. Demographic data including sex, age, job category and educational level were collected and analysed. …”
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Reduced quality of life in corneal dystrophy – a prospective case control study by Carolin Elhardt, Ahmad Zia Aamoon, Lennart Maximilian Hartmann, Clara Marie Sophie Grün, Armin Wolf, Christian Maximilian Wertheimer

“…This study presents data on the impact of corneal dystrophies on quality of life compared to a healthy control group. …”
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Evaluation of Refractive Results of LASIK and LASEK in Patients with Myopia and Myopic Astigmatism by Okan Taşkın, Zeynep Özbek

“…Postoperative data included mean SE, uncorrected visual acuity (UCVA), mean CCT, and complications at 1, 3, and 6 months, as well as at the last control. …”
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Relationship between Learning Styles and Academic Performance in Medical Students at Jazan University, Kingdom of Saudi Arabia: A Cross-sectional Study by Mai Mohamed Elhassan Mustafa, Sami Alhazmi, Raum Abdu Hasan Ayoub, Sarah Jaber Mobarki, Reham Mousa Aljudayba, Imtenan Ali Oberi, Sarah Hassan Moafa, Yara Ajeebi, Lamyaa Ahmed Mohamed El Hassan, Salaheldin Elamin Abdalla Terair

“…Visual learning methods were significantly associated with age and academic class with preference to use diagrams and demonstrations in 202 (46.9%) of the participants. …”
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Advancing remote sensing of biocrusts with drone imagery and machine learning by Jana Stewart, Roxane J. Francis, David J. Eldridge, Richard T. Kingsford, Nathali Machado de Lima

“…We developed a simple and accurate field method for large scale surveys of biocrust, using drone imagery and machine learning, guided by visual ground survey data. We compared the accuracy of three different camera sensors- RGB, multispectral, and thermal. …”
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Architecture Design and Product Development of Meteorological Forecast for General Aviation Technology in Inner Mongolia by Hang Yuehe, Jiang Xuegong, Yang Zehua, Xu Yanqin, Hasitamuga, Lin Hongjie, Zhen Linfeng, Ma Hongwei, Zhang Min, Shi Linshengjie

“…Firstly, dust visibility forecasting utilizes multi-mode integration, machine learning and satellite data inversion techniques. Secondly, short-term warnings for strong convective weather are issued based on multi-source data merging, deep learning, optical flow method, and localized Radar Operational Software Engineering System. …”
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Research and Design of an Active Light Source System for UAVs Based on Light Intensity Matching Model by Rui Ming, Tao Wu, Zhiyan Zhou, Haibo Luo, Shahbaz Gul Hassan

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The Power of Metaphor in the Representation of Mental Images in the Language of Tourism Print Advertising: Lakoff and Johnson’s Model of Conceptual Metaphor by Jawad El Bakri

“…This study investigates, from a cognitive perspective, the effectiveness of metaphor use in the communication of tourism print advertising-related messages (visual images). The researcher examines how the use of metaphorical language generates an effective visual image based on Lakoff and Johnson's (1980) model of metaphor. …”
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Access to primary healthcare services by people with disabilities by Paula Marciana Pinheiro de Oliveira, Gisele Mendes da Silva, Neucilia Oliveira Silva, Sonha Maria Coelho de Aquino, Dandara Araújo Viana, Edmara Chaves Costa, Andressa Suelly Saturnino de Oliveira

“… Objective: to analyze the access of people with hearing, physical, and visual disabilities to primary healthcare services. …”
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MAP: Mutation Arranger for Defining Phenotype-Related Single-Nucleotide Variant by In-Pyo Baek, Yong-Bok Jeong, Seung-Hyun Jung, Yeun-Jun Chung

“…Its operation environment, the Microsoft Windows environment, enables more researchers who cannot operate Linux to define clinically meaningful mutations with NGS data from cancer cohorts.…”
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Organizational identity construction of Colombian brands of swimwear on Instagram by Manuelita Arias Arango, Carlos Andrés Osorio, Leonardo Ortegón Cortázar

“…As a first step in collecting the data, the netnography method was used and then the data was analysed through content analysis. …”
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Expanding Genetic and Clinical Spectra of Inherited Retinal Dystrophies: Identification of Three Novel <i>PRPH2</i> Variants by Raffaella Cascella, Jacopo Sebastiani, Claudia Strafella, Giulia Calvino, Sarah Andreucci, Michele D’ambrosio, Stefania Zampatti, Jung Hee Levialdi Ghiron, Benedetto Falsini, Andrea Cusumano, Emiliano Giardina

“…This study combines genomic, clinical, and instrumental data, including BCVA, OCT, ERG, and visual field testing, using a multimodal approach to identify known and novel <i>PRPH2</i> variants, with the aim of refine genotype–phenotype correlations and improving the diagnosis of IRDs. …”
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Feasibility of vagus nerve modulation (VNMM/taVNS) in cognitive-swallowing dual-task paradigms: a fNIRS pilot study by Zhiyong Wang, Zhiyong Wang, Keling Cheng, Junhui Bai, Cuicui Zhang, Jun Ni, Jun Ni

“…The functional near-infrared spectroscopy (fNIRS) data were analyzed by generalized linear modeling (GLM) and seed-based correlation analysis to assess the cortical excitability and brain connectivity, and a BrainNet Viewer was used to visualize the intervention effects.ResultsUnder the cognitive and swallowing task-state fNIRS protocols, both taVNS and VNMM significantly enhanced the activation effects and intra/inter-hemispheric brain network connectivity in the cognitive or swallowing-related brain regions (p &lt; 0.05).ConclusionsThis study demonstrates the feasibility of using fNIRS to differentiate taVNS/VNMM effects during dual-task paradigms. …”
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