A comparative analysis of supply chain factors impacting COVID-19 vaccine security in high-income countries (HICs) and low-income and middle-income countries (LMICs) by Jeremy H Veillard, David Klein, Adalsteinn Brown, Manveen Puri

“…We used descriptive statistics to characterise our data, basic statistics to compare data and scatter plots to visualise relationships.Results Our data show greater vaccine security in HICs compared with LMICs (32.2% difference in April 2021; 95% CI 4.2% to 60.3%, p=0.03). …”
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A Multimodal Discourse Analysis on Street Graffities about Indonesian Police by Rifpan Putra Afriansyah, Eva Tuckyta Sari Sujatna, Nani Darmayanti

“…The data of this research consist of virtual images and sentences of the graffiti that have been documented. …”
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IDENTIFIKASI PENALARAN ALJABAR MAHASISWA DALAM MENYELESAIKAN MASALAH RELASI REKURSIF MENGGUNAKAN ALAT PERAGA MENARA HANOI DITINJAU DARI GAYA BELAJAR by Nur Fitriyah Indraswari, Siti Zakiyah

“…Time triangulation is used to check the validity of the data. The data analysis technique consists of 5 stages, namely data categorization, data reduction, data presentation, data interpretation, and drawing conclusions. …”
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Predictive Modelling of Sea Debris around Maltese Coastal Waters by Mark Dingli, Kristian Guillaumier, Adam Gauci

“…To address this gap, a pipeline that combines a machine learning-based prediction system with a physics-based model is proposed. This pipeline uses data on historical sea-surface current velocities to forecast future conditions and visualise debris movement. …”
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Multimodal Framework for Long-Tailed Recognition by Jian Chen, Jianyin Zhao, Jiaojiao Gu, Yufeng Qin, Hong Ji

“…In this paper, we propose a novel multimodal framework for long-tailed data recognition. In the first stage, long-tailed data are used for visual-semantic contrastive learning to obtain good features, while in the second stage, class-balanced data are used for classifier training. …”
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ANALYSIS OF MATHEMATICAL REPRESENTATION ABILITY ON ASSEMBLAGE MATERIAL FOR JUNIOR HIGH SCHOOL STUDENTS by Dila Anggaraini, Kartini Kartini

“…Through the validity test, valid results were obtained with moderate and high criteria and had moderately correlated reliability with good criteria. The results of the data test and analysis concluded that students' mathematical representation abilities applied to assemblage material had 91% visual representation skills using diagrams, 76% representation skills using mathematical expressions, and 51% mathematical representation skills using words.…”
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Prediksi Kualitas Udara Menggunakan Metode CatBoost by Mohamad Arif Abdul Syukur Syukur, Suhartono Suhartono, Totok Chamidy

“… Air is important for life, but industrial activities, forest burning, cigarette smoke and transportation increase air pollution. AirVisual AQI 2024 data places Jakarta in 11th place in the world with the highest level of pollution, reaching 127 which is unhealthy for sensitive groups, and poses a risk of causing serious illnesses such as skin and respiratory diseases. …”
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GLEM: a global–local enhancement method for fine-grained image recognition with attention erasure and multi-view cropping by Chenglong Zhou, Damin Zhang, Qing He, MingFang Li, MingRong Li, Xiaobo Zhou

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An open-source platform for structured annotation and computational workflows in digital pathology research by Luca Lianas, Mauro Del Rio, Luca Pireddu, Oskar Aspegren, Francesca Giunchi, Michelangelo Fiorentino, Simone Leo, Renata Zelic, Per Henrik Vincent, Nicolas Destefanis, Daniela Zugna, Lorenzo Richiardi, Andreas Pettersson, Olof Akre, Francesca Frexia

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DINOV2-FCS: a model for fruit leaf disease classification and severity prediction by Chunhui Bai, Chunhui Bai, Chunhui Bai, Lilian Zhang, Lilian Zhang, Lilian Zhang, Lutao Gao, Lutao Gao, Lutao Gao, Lin Peng, Lin Peng, Lin Peng, Peishan Li, Peishan Li, Peishan Li, Linnan Yang, Linnan Yang, Linnan Yang

“…In the generalizability experiment, four disease data sets were used for training and one for testing. …”
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Twitter Sentiment Analysis on Worldwide COVID-19 Outbreaks by Kamaran H. Manguri, Rebaz N. Ramadhan, Pshko R. Mohammed Amin

“…In the past two decades, the growth of social data on the web has rapidly increased. This leads to researchers to access the data and information for many academic research and commercial uses. …”
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Loss Function Optimization Method and Unsupervised Extraction Approach D-DBSCAN for Improving the Moving Target Perception of 3D Imaging Sonar by Jingfeng Yu, Aigen Huang, Zhongju Sun, Rui Huang, Gao Huang, Qianchuan Zhao

“…Imaging sonar is a crucial tool for underwater visual perception. Compared to 2D sonar images, 3D sonar images offer superior spatial positioning capabilities, although the data acquisition cost is higher and lacks open source references for data annotation, target detection, and semantic segmentation. …”
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Assessing and improving reliability of neighbor embedding methods: a map-continuity perspective by Zhexuan Liu, Rong Ma, Yiqiao Zhong

“…Abstract Visualizing high-dimensional data is essential for understanding biomedical data and deep learning models. …”
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The Face as Image: Witnessing, Minimizing Harm and Testimony by Kerstin Roger, Andrew Hatala

“…This paper explores the human face as an important image, and as visual data, in the context of academic work. We explore its philosophical value through a discussion of testimony and witnessing, visual data through the interface between academia and social media in the broader world, and with a reflection of university-based ethics. …”
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Research on Semantic Driven Urban Pipeline Dataspace Construction Method by B. Li, L. Huo, Y. Yang, P. Bao, M. Zhang, Y. Li

“…Finally, the model is stored and graphically visualized using neo4j to achieve fast retrieval of data within the pipeline dataspace. …”
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Temperature and Humidity Monitoring System Using Node-Red Based on MQTT Protocol by Eko Budi Utomo, Nurhaliza Izzaturrahmani

“…Node-RED acts as a visual interface to process, analyze, and display the temperature data in the form of an interactive dashboard. …”
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ExActR: A Shiny app for creating ecosystem extent accounts by Anthony Gibbons, Francesco Martini, Cian White, Emma King, Jane C. Stout, Ian Donohue, Andrew Parnell

“…The application supports multiple timepoints, where extent accounts (tables) are generated for consecutive pairs of timepoints, accommodating users’ needs for dynamic ecosystem assessments across several periods. Data visualisations are generated in the form of both interactive (leaflet) and static maps of each timepoint, and barplots to illustrate land type composition and change. …”
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Open-source software integration: A tutorial on species distribution mapping and ecological niche modelling by Zoe Ryan, Emily Clark, Beatrice Cundiff, Joslyn Nichols, Maya Mahoney, Nkosi Evans, Thomas Campbell, Danny Kreider, Matt von Konrat

“…We have created a replicable and thorough tutorial to visualise species occurrence data and exploratory analysis that was developed by undergraduates with broad backgrounds and levels of experience. …”
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Accidents in railway transportation: Lessons learned from Thailand and France by Sripathomswat Kanokporn, Promkamol Lattapon, Romruen Worachon, Arthaud Quentin, Drouin Alban

“…To enhance the analysis, geographic information system (GIS) methodologies are employed to visualize accessibility data and identify disparities across different train lines. …”
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Use of the Chainchecker application: Uganda's experience during the 2022 Sudan Virus Disease outbreak. by Rebecca Akunzirwe, Shannon Whitmer, Miles Stewart, Julie R Harris, Mercy W Wanyana, Sherry R Ahirirwe, Alex R Ario, Daniel Kadobera, Benon Kwesiga, Richard Migisha, Abraham Rajan, Nicole Stock, Julia Eng, John D Klena, Trevor Shoemaker, Joel Montgomery, Mary Choi

“…Chainchecker can also provide visualizations of hospitalization data, which can highlight potential instances of nosocomial disease transmission. …”
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