RETRACTED: Simplicial Complex-Enhanced Manifold Embedding of Spatiotemporal Data for Structural Health Monitoring by Nan Xu, Zhiming Zhang, Yongming Liu

“…Structural Health Monitoring requires the continuous assessment of a structure’s operational conditions, which involves the collection and analysis of a large amount of data in both spatial and temporal domains. Conventionally, both data-driven and physics-based models for structural damage detection have relied on handcrafted features, which are susceptible to the practitioner’s expertise and experience in feature selection. …”
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The Choice of Training Data and the Generalizability of Machine Learning Models for Network Intrusion Detection Systems by Marcin Iwanowski, Dominik Olszewski, Waldemar Graniszewski, Jacek Krupski, Franciszek Pelc

“…On the other hand, merging datasets may result in more exhaustive data collection, consisting of a more diverse spectrum of training samples.…”
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The Role of Electronic Medical Records on Aggregate Data Reporting and Use in the Tanzanian Health System by Bigten KIKOBA, Masoud MAHUNDI, Wilfred SENYONI

“…This limitation is due to incompatible report formats, insufficient user capabilities, lack of interoperability, and the absence of aggregate data visualization dashboards and analytical tools, all hinder secondary data utilization and support for HMIS functions. …”
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Discovering the Structure of Knowledge in Urban Data Mining Using Vocabulary Co-occurrence Analysis by Enayat Alah Mohaghegh Nasab, Mahmoud Mohamadi

“…But the most important finding of the current research, which was obtained based on clustering analysis and knowledge map analysis, shows that the field of urban data mining has five subfields or main structural components: 1-Analysis of urban systems and smart cities, 2- Modeling and data analysis framework, 3- identifying patterns and predicting them along with visualization techniques, 4- big data and social media, 5- urban big data and traffic network; Of these, urban big data analysis is more recent than other sub-structures, and research in this field is mostly related to the years 2022 and 2023.…”
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Reconstructing the dynamics of HIV evolution within hosts from serial deep sequence data. by Art F Y Poon, Luke C Swenson, Evelien M Bunnik, Diana Edo-Matas, Hanneke Schuitemaker, Angélique B van 't Wout, P Richard Harrigan

“…We have developed a phylogenetic pipeline for the molecular clock analysis, ancestral reconstruction, and visualization of deep sequence data. These data were generated by next-generation sequencing of HIV RNA extracted from longitudinal serum samples (median 7 time points) from 8 untreated subjects with chronic HIV infections (Amsterdam Cohort Studies on HIV-1 infection and AIDS). …”
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DataLab as a Service: Distributed Computing Framework for Multi-Interactive Analysis Environments by Aida Palacio Hoz, Andres Heredia Canales, Ezequiel Cimadevilla Alvarez, Marta Obregon Ruiz, Alvaro Lopez Garcia

“…These innovations span from automating the setup of the infrastructure required for data analysis to providing user-friendly interfaces that simplify coding and result visualization. …”
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MammOnc-DB, an integrative breast cancer data analysis platform for target discovery by Santhosh Kumar Karthikeyan, Darshan S. Chandrashekar, Snigdha Sahai, Sadeep Shrestha, Ritu Aneja, Rajesh Singh, Celina G. Kleer, Sidharth Kumar, Zhaohui S. Qin, Harikrishna Nakshatri, Upender Manne, Chad J. Creighton, Sooryanarayana Varambally

“…The platform also includes pre- and post-treatment data, which can help users identify treatment resistance markers and support combination therapy strategies, offering researchers and clinicians a comprehensive tool for BCa data analysis and visualization.…”
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Development of data driven models to accurately estimate density of fatty acid ethyl esters by Walid Abdelfattah, Munthar Kadhim Abosaoda, Hardik Doshi, H. S. Shreenidhi, Manoranjan Parhi, Devendra Singh, Prabhjot Singh, Abdolali Yarahmadi Kandahari

“…Through extensive statistical evaluations and visualization techniques, SVR emerged as the most accurate model for density prediction. …”
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Cross-language orthographic neighborhood density effects in Dutch–English and Spanish–English bilinguals by Britta Biedermann, Britta Biedermann, Elisabeth Beyersmann, Mara Blosfelds, Christella Macapagal, Ashleigh Rosevear, Welber Marinovic

“…However, an inhibitory main effect of L1 Dutch ND on L2 visual word recognition was only observed for reaction times, not error rates. …”
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Impact on Network Performance of Probe Vehicle Data Usage: An Experimental Design for Simulation Assessment by Lídia Montero, Maria Paz Linares, Josep Casanovas, Esteve Codina, Gonzalo Recio, Ester Lorente, Juan Salmerón

“…Technological companies are interested in traffic data for computing the best routes in a traffic-aware manner and they also provide real-time traffic information with certain temporal accuracy. …”
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The Design and Implementation of an Intelligent Carbon Data Management Platform for Digital Twin Industrial Parks by Lingyu Wang, Hairui Wang, Yingchuan Li, Xingyun Yan, Min Wang, Meixing Guo, Mingzhu Fang, Yue Kong, Jie Hu

“…The system supports efficient energy-saving and carbon-reducing decision making by real-time collection of energy consumption data. By incorporating Building Information Modeling (BIM) and Internet of Things (IoT) technologies, the system facilitates the integration and visualization of multi-source data, significantly enhancing the transparency of carbon data. …”
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Development of an Algorithm for Semantic Segmentation of Earth Remote Sensing Data to Determine Phytoplankton Populations by Yu. V. Belova, I. F. Razveeva, E. O. Rakhimbaeva

“…Computer vision is widely used for semantic segmentation of Earth remote sensing (ERS) data. The method allows monitoring ecosystems, including aquatic ones. …”
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Open Access to Burn Severity Data—A Web-Based Portal for Mainland Portugal by Pedro Castro, João Gonçalves, Diogo Mota, Bruno Marcos, Cristiana Alves, Joaquim Alonso, João P. Honrado

“…The platform integrates a modular architecture that comprises a module in R and Google Earth Engine to compute standardized satellite-derived datasets on observed/historical severity for burned areas, integrated with a web portal module to facilitate the access, search, visualization, and downloading of the generated data. …”
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An Evaluation Method for Distribution Network Operation Based on Multi-source Data Deep Fusion by Junfeng QIAO, Aihua ZHOU, Lin PENG, Yiqing WANG, Xiaofeng SHEN, Sen PAN, Pei YANG, Chenhong HUANG

“…Finally, a distribution network operation evaluation system is developed to support the unified access of multi-source heterogeneous data from various business systems of the distribution network, achieving the visualization and intelligent application of distribution network evaluation functions. …”
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Regional caries data availability in Saudi Arabia: Impact of socioeconomic factors and research potential by Asim Al-Ansari, Maha El Tantawi, Mohamed Mehaina, Muhanad Alhareky, Shazia Sadaf, Jehan AlHumaid, Adel AlAgl, Fahad Al-Harbi

“…The explanatory variables included region-level factors: (a) socio-economic indicators (percentage of individuals with university education, percentage of category A governorates, percentage of owned houses, households with computers, internet and smart phones) and, (b) oral health research potential indicators (number of Dental Public Health (DPH) specialists, Ministry of Health (MoH) dentist to population ratio and number of dental schools). ArcGIS was used for data visualization and logistic regression was used for analysis. …”
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Perancangan Aplikasi Surat Masuk dan Keluar pada PT. Angkasa Pura 1 Semarang by Endang Sugiharti, Sulis Eli Triliani

“…Data yang digunakan dalam pembuatan sistem aplikasi ini adalah data surat masuk dan data surat keluar PT. …”
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Implementation of the Use of Instagram @gramatika_arab in Developing Arabic Language Skills for Students of Arabic Language Education of UIN Sunan Kalijaga by Lu'luun Nisai, Mohamed Ahmed Mohamed Ibrahim Shalgham

“…Data sources in this study consist of primary data sourced from Instagram @gramatika_arab and secondary data in the form of several scientific journals relevant to this study. …”
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Leveraging data science to understand and address multimorbidity in sub-Saharan Africa: the MADIVA protocol by Kobus Herbst, Stephen Tollman, Kathleen Kahn, Francesc Xavier Gómez-Olivé, Jaya George, Catherine Kyobutungi, Karen Hofman, Gershim Asiki, Michèle Ramsay, Daniel Ohene-Kwofie, Chodziwadziwa W Kabudula, Helen Robertson, Isaac Kisiangani, Palwende Boua, Eric Maimela, Damazo T Kadengye, Michelle Kamp, Daniel Maina Nderitu, Phelelani Thokozani Mpangase, Kayode Adetunji, Samuel Iddi, Skyler Speakman, Scott Hazelhurst, Kerry Glover, Tabitha Osler, Tanya Akumu, Diana Awuor, Victoria Bronstein, Joan Byamugisha, Jacques D Du Toit, Barry Dwolatzky, Paul A Harris, Celeste Holden, Nhlamulo Khoza, Faith Kimongo, Dekuwin E Kogda, Michael Klipin, Stephen P Levitt, Dylan Maghini, Karabo Maila, Ndivhuwo Makondo, Molulaqhooa Linda Maoyi, Reineilwe Given Mashaba, Nkosinathi Gabriel Masilela, Theophilous Mathema, Daphine T Nyachowe, Evelyn Thsehla, Siphiwe A Thwala, Roy Zent, Patrick Opiyo Owili

“…The Multimorbidity in Africa: Digital Innovation, Visualisation and Application Research Hub (MADIVA) aims to address MM by developing data science solutions informed by stakeholder engagement.Methods and analysis MADIVA uses complex, individual-level datasets from research centres in rural Bushbuckridge, South Africa and urban Nairobi, Kenya. …”
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Material artifacts of Sundanese looms bearing Nyai Pohaci in the story of the Lutung Kasarung pantun by Retty Isnendes

“…The study method employs descriptive comparative data gathering techniques with purposeful sampling, as well as visual comparative analytical data processing techniques. …”
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Le service public audiovisuel et sa régulation dans le REFRAM : une étude exploratoire des relations entre médias de service public et régulateurs by El Hadji Malick Ndiaye

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