Arthroplasty registries at a glance: an initiative of the International Society of Arthroplasty Registries (ISAR) to facilitate access, understanding, and reporting of registry dat... by Anne Lübbeke, Lotje A Hoogervorst, Perla J Marang-van de Mheen, Heather A Prentice, Ola Rolfson, Rob G H H Nelissen, Arnd Steinbrück, Gearoid McGauran, Christophe Barea, Kajsa Erikson, Alma B Pedersen, Martyn Porter

“…Most registries had public reporting of data quality, methods, and results. Data was accessible in all but 2 registries, mainly as aggregated data. …”
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Local Magnetic Activity Index Nowcast Based on Concurrent Measurements at Two Observatories in Close Proximity by Tobias G. W. Verhulst, Stephan Bracke, François Humbled, Stanimir M. Stankov

“…Novel characteristics are the higher cadence of index calculation, an index reliability estimate based on data quality, and the high availability of the nowcast guaranteed by the operation of two identical instruments at observatories in close proximity. …”
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Acoustic Model with Multiple Lexicon Types for Indonesian Speech Recognition by Taufik Fuadi Abidin, Alim Misbullah, Ridha Ferdhiana, Laina Farsiah, Muammar Zikri Aksana, Hammam Riza

“…This research creates Indonesian speech recognition datasets from YouTube channels with subtitles by validating all utterances of downloaded audio to improve the data quality. The quality of the dataset was evaluated using a deep neural network. …”
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ARTIFICIAL INTELLIGENCE IN AGRICULTURE: CURRENT TRENDS AND INNOVATIONS by Jonathan Masasi, John N. Ng’ombe, Blessing Masasi

“…Furthermore, the challenges and limitations of AI adoption in agriculture, including data quality and availability, infrastructure requirements, and ethical considerations, are also discussed. …”
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Review: the application of deep reinforcement learning to quantitative trading in financial market by XU Bo, HE Yijun, WEN Jiancheng, LI Xiangxia

“…Secondly, the challenges faced by DRL in quantitative trading in financial market were pointed out, including data quality issues, model stability issues, overfitting issues, etc. …”
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The Bibliography of Articles of the Republican Era 1923-1999: A Critical Review by Yaşar Tonta, Umut Al

“…This paper critically reviews the Bibliography on the basis of its user interface, database design and data quality. Human-computer interaction (HCI) issues and the usability criteria seem to have not been taken into account when designing the user interface of the BARE CD-ROM. …”
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Utilizing Feature Selection Techniques for AI-Driven Tumor Subtype Classification: Enhancing Precision in Cancer Diagnostics by Jihan Wang, Zhengxiang Zhang, Yangyang Wang

“…However, challenges such as ensuring data quality, mitigating overfitting, and addressing scalability remain critical limitations of these methods. …”
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Retinal revelations: Seeing beyond the eye with artificial intelligence by John Davis Akkara

“…While the potential of AI in oculomics is promising, challenges such as access to ophthalmic imaging, data quality, and the need for rigorous validation must be addressed to ensure its widespread adoption and clinical utility. …”
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Optimizing Teacher Performance Through The Implementation Of Progressive Work Culture And Dynamic Leadership Styles by Asde Rahmamulyati, Yunus Handoko, Murtianingsih Murtianingsih

“…Data analysis uses data quality tests, classical assumption tests, multiple linear regression and hypothesis testing, namely coefficients of determination, t tests, and f test. …”
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Multi-region infectious disease prediction modeling based on spatio-temporal graph neural network and the dynamic model. by Xiaoyi Wang, Zhen Jin

“…The results show that the framework is capable of performing high-dimensional parameter estimation and accurately predicting epidemic transmission dynamics in multiple regions even with low data quality. In addition, we retrospectively extrapolate the temporal evolution patterns of contact rate under different interventions implemented in different regions, reflecting the dynamics of intervention intensity and the need for flexibility in adjusting interventions in different regions. …”
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Flood Evacuation in Informal Settlements: Application of an Agent-Based Model to Kibera Using Open Data by Olivia Butters, Richard J. Dawson

“…In this study, a model that was first applied in the UK is adapted and applied to simulate flood evacuations in Kibera, a densely populated informal settlement in Nairobi. Although data quality limits some of the model’s potential, the results reproduce patterns of observed behaviour. …”
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SHIFTING FOCUS: THE ROLE OF ENVIRONMENTAL, SOCIAL, AND GOVERNANCE FACTORS IN INVESTMENT POLICY DURING A PANDEMIC by Serghei PETIGHIN

“…The growing interest in ESG investing will likely continue in the post-pandemic era, driven by the development of ESG-focused investment products, regulatory support, and greater collaboration between investors and companies. However, data quality, consistency, and greenwashing challenges must be addressed to ensure the integrity and effectiveness of ESG investing in the future. …”
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Life cycle assessment and material flow analysis of road and rail infrastructure assets – A critical review by Soroosh Ataee, André Stephan

“…The paper also highlights the research gaps and future research directions, such as integrating LCA and MFA, expanding the scope of transport infrastructure assets considered, improving the data quality and availability, and addressing the uncertainties and trade-offs in the assessment. …”
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A Cycle Slip Detection and Repair Method Using BDS Triple-Frequency Optimization Combination with Wavelet Denoising by Kezhao Li, Haofei Ban, Yingxiang Jiao, Shuaikang Lv

“…Hence, the source data quality is assured through wavelet denoising. And the accuracy of cycle slip detection and repair is improved by using the dual-frequency PIR combination. …”
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Bridging Big Data Analytics Capability and Competitive Advantage in China’s Agribusiness: The Mediator of Absorptive Capacity by Peng Zhang, Ramayah Thurasamy

“…Using Partial Least Squares Structural Equation Modeling (PLS-SEM) on data collected from 287 agribusiness firms in China, the findings reveal that key resources—such as data quality, infrastructure, information systems, data governance, data-driven culture, managerial expertise, and technical proficiency—significantly influence BDAC. …”
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Examining the Peer-Reviewed Published Literature Regarding Low Back Pain in Rowing: A Scoping Review by Veronica Athy, Sylvia Hach, Helen Anderson, Jesse Mason

“…Methodological issues such as small sample size and barriers to injury reporting increased heterogeneity and decreased data quality. Further exploration is required to determine the mechanism of LBP in rowers through research with larger samples.…”
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Data Inspecting and Denoising Method for Data-Driven Stochastic Subspace Identification by Xiaohang Zhou, Lu Cao, Inamullah Khan, Qiao Li

“…First, EDA was adopted to inspect the data quality for removing the data measured from malfunctioning sensors. …”
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Exploring why and how commercial organizations contribute to OpenStreetMap by Héctor Ochoa-Ortiz, Barbara Re

“…The motivations behind their contribution to the project are a mixture of their own business benefits, such as to improve the data quality in a source the companies use, and social value motivations, like community-building. …”
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Perbandingan Pengaruh Sistem Surveilans Berbasis Elektronik dan Paper Based Terhadap Kompetensi Pencatatan dan Kemampuan Deteksi Risiko Hais oleh Perawat Di Rumah Sakit Awal... by Novita Simbolon, Hema Malini, Sri Muharni

“…This electronic-based surveillance is assumed to be able to provide higher data quality, faster and easier. However, this still needs to be proven further. …”
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Simulation and prediction of the expansion of OpenStreetMap building data based on the Markov-FLUS model in Shenzhen, China by Sidan Chen, Lingjia Liu, Kaixiang Li, Xiaohui Ding, Wei Jiang

“…Currently, most research focuses primarily on data quality issues, without considering the evolution of OSM buildings. …”
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