358 Rare disease study identification (RDSI): A natural language processing assisted search and visualization tool for clinical studies of rare diseases by Michael Lin, Jennifer Weis, H M Abdul Fattah, Jungwei Fan

“…To address this gap, we applied natural language processing (NLP) and visualization techniques to develop an efficient pipeline and user-friendly web interface. …”
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Data- and knowledge-derived functional landscape of human solute carriers by Ulrich Goldmann, Tabea Wiedmer, Andrea Garofoli, Vitaly Sedlyarov, Manuel Bichler, Ben Haladik, Gernot Wolf, Eirini Christodoulaki, Alvaro Ingles-Prieto, Evandro Ferrada, Fabian Frommelt, Shao Thing Teoh, Philipp Leippe, Gabriel Onea, Martin Pfeifer, Mariah Kohlbrenner, Lena Chang, Paul Selzer, Jürgen Reinhardt, Daniela Digles, Gerhard F Ecker, Tanja Osthushenrich, Aidan MacNamara, Anders Malarstig, David Hepworth, Giulio Superti-Furga

“…To advance SLC research, we developed a comprehensive knowledgebase that integrates systematic multi-omics data sets with selected curated information from public sources. …”
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Using UMAP for Partially Synthetic Healthcare Tabular Data Generation and Validation by Carla Lázaro, Cecilio Angulo

“…Using the UMAP (Uniform Manifold Approximation and Projection) visualization algorithm to transform the original, high-dimensional reference data set into a reduced-dimensional space, we generate and validate synthetic values for incomplete data sets. …”
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Low cost image-based modeling techniques for archaeological heritage digitalization: more than just a good tool for 3d visualization? by Mariateresa Galizia, Cettina Santagati

“…These tools are founded on the SfM (Structure from Motion) techniques and they are able to realize automatically image-based models starting from simple sequences of pictures data sets. Initially born as simple touristic 3D visualization (e.g. …”
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Advancing Progressive Web Applications to Leverage Medical Imaging for Visualization of Digital Imaging and Communications in Medicine and Multiplanar Reconstruction: Software Deve... by Mohammed A. AboArab, Vassiliki T. Potsika, Alexis Theodorou, Sylvia Vagena, Miltiadis Gravanis, Fragiska Sigala, Dimitrios I. Fotiadis

“…Web-based Digital Imaging and Communications in Medicine (DICOM) viewers integrated into picture archiving and communication systems facilitate access to pictures and interaction with remote data. However, the adoption of progressive web applications (PWAs) for web-based DICOM and MPR visualization remains limited. …”
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Depicted welfare-recipient stereotypes in Norway and Denmark: a photo-elicitation study by Sofie Dencker-Larsen, Kjetil G. Lundberg

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Investigating Czech society’s expectations for forest recreation by Ratna Chrismiari Purwestri, Miroslav Hájek, Petra Palátová, Meryem Tahri, Diana Carolina Huertas-Bernal, Stephen Awuni, Stephen Awuni, Sri Murniani Angelina Letsoin, Sri Murniani Angelina Letsoin, Fajar Rahmawan, Miroslava Hochmalová, Vilém Jarský, Marcel Riedl, Roman Dudík

“…Vegetation density, derived from the Normalized Difference Vegetation Index for the forest area in 2018, was developed using CORINE Land Cover data. Societal expectations regarding naturalness in visuals, descriptions, presence of recreation facilities, and their interconnection were analyzed and presented. …”
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Detecting clusters in spatially repetitive point event data sets by Allan Brimicombe

“…The patterns of particular interest are patterns of clustering or ‘hot spots’ and such cluster detection lies at the heart of spatial data mining. Certain classes of point event patterns have a significant proportion of the data having a tendency towards exact spatial repetitiveness. …”
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Reversible data hiding scheme based on enhanced image smoothness by Jinghan WANG, Hui ZHU, Helin LI, Hui LI, Xiaopeng YANG

“…With the prosperity of Internet technology and the popularity of social networks, reversible data hiding technology has been widely adopted in concealed information transmission of medical and military fields with its advantages on secret information recovery.Traditional reversible data hiding schemes mainly focus on the enhancement of embedding capacity and the reduction of the distortion rate of stego image, but pay less attention to the understanding of image details with the human eyes.Thus, it is difficult to resist hidden information detection methods.To solve the above challenge, a reversible data hiding algorithm was proposed, which ensured the visual quality of the stego image in the process of data hiding through the image visual smoothness enhancement.Specifically, the original image was divided into reference area and non-reference area.The secret data was embedded through the translation of the difference, which was calculated according to the predicted pixel value and the original pixel value of the non-reference area.To guarantee the visual quality of the image, smoothing mechanism was constructed, in which a Gaussian filter was utilized as a template to filter the predicted value and to add the filter difference into the cover image without loss.The pixel value of the reference region was used as edge information for lossless restoration of the original image.The filtering coefficient in Gaussian function was exploited as the embedded key to ensure the security of secret information.Simulation results regarding a large number of classical image data sets illustrated that the visual smoothness of stego image processed by this scheme was effectively enhanced with lower distortion rate, higher embedding rate, and higher embedding and extraction efficiency.In a typical circumstance, the similarity between the generated stego image and the Gaussian filter image can reach 0.9963.The PSNR and the embedded capacity can be up to 37.346 and 0.3289 BPP, respectively.…”
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Measuring Perceptual and Linguistic Complexity in Multilingual Grounded Language Data by Nisha Pillai, Cynthia Matuszek, Francis Ferraro

“…The success of grounded language acquisition using perceptual data (e.g., in robotics) is affected by the complexity of both the perceptual concepts being learned and the language describing those concepts. …”
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Automation of flow cytometry data analysis with elastic image registration by Allison Irvine, Mohamed Mahmoud Moustafa, Sahul Patel, Aniket Patel, Lilja Hardardottir, Francesca Delvecchio, Taylor Foreman, Jean Oak, Scott J. Bornheimer, Raffaello Cimbro

“…Batch processing can be used to automate the analysis of bimodally distributed data but underperforms with highly-variable or continuously-expressed markers. …”
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A Data-Driven Approach for Rathke’s Cleft Cysts Management by Alberto D’Amico, Martina Cappelletti, Nicola Bresolin, Elisabetta Marton, Luca Denaro, Giuseppe Canova

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Integrating 3D city data through knowledge graphs by Linfang Ding, Guohui Xiao, Albulen Pano, Mattia Fumagalli, Dongsheng Chen, Yu Feng, Diego Calvanese, Hongchao Fan, Liqiu Meng

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Transchain: Blockchain-Based Management of Allografts for Enhancing Data Provenance by Rashid Ul Haq, Rahim Khan, Fahad Alturise, Shafrida Sahrani, Salem Alkhalaf, Mahidur R. Sarker

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SURGERY IMPACT ON LIFE QUALITY DATA IN CHILDREN WITH DETACHED RETINA by A. N. Sergienko, V. V. Dashina, A. V. Malishev, O. I. Lisenko, S. V. Yanchenko

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ARTigo: Data from Social Tagging with Art-historical Images by Stefanie Schneider

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Data hiding method based on color table expansion technique by FEI Ru-chun1, WANG Li-na1, ZHANG Huan-guo1

“…Based on color table expansion technique for indexed images,a data hiding method was proposed,and the se-curity and the hiding capacity were analyzed.The analysis results show that this method has very strong security and very high hiding capacity.Secret data can be hidden in an indexed cover image to generate a stego-image with the same visual effect as the cover image and resumed without distortion from the stego-image if the correct key is used.In addition,the statistical feature of the secret data is completely covered up by using random data,so the stego-image is statistically in-dependent of the secret data.…”
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Data hiding method based on color table expansion technique by FEI Ru-chun1, WANG Li-na1, ZHANG Huan-guo1

“…Based on color table expansion technique for indexed images,a data hiding method was proposed,and the se-curity and the hiding capacity were analyzed.The analysis results show that this method has very strong security and very high hiding capacity.Secret data can be hidden in an indexed cover image to generate a stego-image with the same visual effect as the cover image and resumed without distortion from the stego-image if the correct key is used.In addition,the statistical feature of the secret data is completely covered up by using random data,so the stego-image is statistically in-dependent of the secret data.…”
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Experience of Applying Remote Sensing Earth Data in Environmental Forensics by S. Yu. Rozov, N. D. Kutuzova, T. N. Bolysheva

“…The opportunity of remote sensing Earth data application in performing of environmental forensics is contemplated. …”
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Data-Driven Retention Marketing Development Strategy in Telecom Enterprise by Chenxi Qi, Yiming Yu

“…As the new market shrink，some new product market become even to zero，the marketing strategy goal transfer from acquisition to customer retention in the telecom enterprise.Because of the gap between the retention marketing goal and the marketing reality，it was discussed how the telecom company could develop data-driven marketing of retention.Firstly，design the ability architecture of data-driven retention marketing IT system.Secondly，distinct and establish the management and operational process of retention marketing.Thirdly，establish the two foundation databases，one is the customer needs’ labels database，and the other is marketing and campaign resources database.Fourthly，improve and establish the three kinds of core abilities-including the ability of allocation of marketing resource for the customer needs，the ability of the channel triggering and the ability of the visual management of retention marketing.…”
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