Analysis, Forecasting, and System Identification of a Floating Offshore Wind Turbine Using Dynamic Mode Decomposition by Giorgio Palma, Andrea Bardazzi, Alessia Lucarelli, Chiara Pilloton, Andrea Serani, Claudio Lugni, Matteo Diez

“…The influence of the main hyperparameters of the methods is investigated with a full factorial analysis using error metrics analyzing complementary aspects of the prediction. …”
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‘Navigating my way through trial and error’ … resilience of newly qualified teachers in special educational needs schools for learners with physical disabilities by Samukelisiwe Kuboni, Daphney Mawila-Chauke

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Using prescribing very short answer questions to identify sources of medication errors: a prospective study in two UK medical schools by Karim Meeran, Amir H Sam, Chee Yeen Fung, Rebecca K Wilson, Emilia Peleva, David C Kluth, Martin Lupton, David R Owen, Colin R Melville

“…Objective To assess the utility and ability of the novel prescribing very short answer (VSA) question format to identify the sources of undergraduate prescribing errors when compared with the conventional single best answer (SBA) question format and assess the acceptability of machine marking prescribing VSAs.Design A prospective study involving analysis of data generated from a pilot two-part prescribing assessment.Setting Two UK medical schools.Participants 364 final year medical students took part. …”
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Is it time to stop sweeping data cleaning under the carpet? A novel algorithm for outlier management in growth data. by Charlotte S C Woolley, Ian G Handel, B Mark Bronsvoort, Jeffrey J Schoenebeck, Dylan N Clements

“…All data are prone to error and require data cleaning prior to analysis. …”
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Geometric correction of meteorological satellite cloud image data position under multi-source data temporal correlation by Shenbing Hua, Shuanglong Jin, Zongpeng Song, Xiaolin Liu

“…The experimental results show that the highest position error of the corrected satellite cloud image data is only 0.13, and the duration fluctuates between 1.2 and 1.8 s. …”
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Prevalence of sexually transmitted infections and bacterial vaginosis among women in sub-Saharan Africa: An individual participant data meta-analysis of 18 HIV prevention studies. by Elizabeth A Torrone, Charles S Morrison, Pai-Lien Chen, Cynthia Kwok, Suzanna C Francis, Richard J Hayes, Katharine J Looker, Sheena McCormack, Nuala McGrath, Janneke H H M van de Wijgert, Deborah Watson-Jones, Nicola Low, Sami L Gottlieb, STIMA Working Group

“…We used a 2-stage meta-analysis to combine data. After calculating the proportion of participants with each infection and standard error by study, we used a random-effects model to obtain a summary mean prevalence of each infection and 95% confidence interval (CI) across ages, regions, and population types. …”
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A Pressure-Driven Recovery Factor Equation for Enhanced Oil Recovery Estimation in Depleted Reservoirs: A Practical Data-Driven Approach by Tarek Al Arabi Omar Ganat

“…The <i>DRF</i> method’s outcomes are validated and compared using the decline curve analysis (DCA) method. Real measured field data from 15 wells in a homogenous sandstone reservoir and 10 wells in a heterogeneous carbonate reservoir are utilized for this study. …”
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Quality Control Technique for Ground-Based Lightning Detection Data Based on Multi-Source Data over China by Yongfang Xu, Yan Shen, Xiaowei Jiang, Fengyun Tian, Lei Cao, Nan Wang

“…This study proposes a comprehensive QC scheme for lightning location data from the China Meteorological Administration ground-based National Lightning Detection Network (CMA-LDN). …”
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Depth-specific soil moisture estimation in vegetated corn fields using a canopy-informed model: A fusion of RGB-thermal drone data and machine learning by Milad Vahidi, Sanaz Shafian, William Hunter Frame

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Enhancing IoT-Based Environmental Monitoring and Power Forecasting: A Comparative Analysis of AI Models for Real-Time Applications by Md Minhazur Rahman, Md Ibne Joha, Md Shahriar Nazim, Yeong Min Jang

“…This study proposes an advanced IoT platform that combines real-time data collection with secure transmission and forecasting using a hybrid Long Short-Term Memory (LSTM)–Gated Recurrent Unit (GRU) model. …”
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OpenLimbTT, a transtibial residual limb shape model for prosthetics simulation and design: creating a statistical anatomic model using sparse data by Fiona Sunderland, Adam Sobey, Jennifer Bramley, Joshua Steer, Rami Al-Dirini, Cheryl Metcalf, Diana Toderita, Anthony Bull, Ziyun Ding, David Henson, Peter Worsley, Alex Dickinson

“…However, currently clinicians have limited objective data to support and improve socket design. Finite element analysis predictions might help improve the fit, but this requires internal and external anatomy models. …”
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Accuracy of cephalometric landmark and cephalometric analysis from lateral facial photograph by using CNN-based algorithm by Yui Shimamura, Chie Tachiki, Kaisei Takahashi, Satoru Matsunaga, Takashi Takaki, Masafumi Hagiwara, Yasushi Nishii

“…In both groups, no significant differences were observed for any of the data. Our new algorithm for estimating the landmarks from lateral facial photographs of malocclusion patients resulted in an error of less than 0.5 mm; the error in cephalometric analysis was less than 0.5°. …”
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Estimating area under the curve from graph-derived summary data: a systematic comparison of standard and Monte Carlo approaches by Sean Titensor, Joshua Ebbert, Karen Della Corte, Dennis Della Corte

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Big data in corporate financial management by S.M. Kanyhin

“…Implementing automated systems also helps reduce human errors and increase operational efficiency. Big data integration is essential to ensure the financial security of enterprises in today’s environment. …”
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Data Inconsistency Evaluation for Cyberphysical System by Hao Wang, Jianzhong Li, Hong Gao

“…Given a database instance D including n tuples and a CFD set Σ including r CFDs, data inconsistency is defined as the ratio of the size of minimum culprit in D , where a culprit is a set of tuples leading to integrity errors. …”
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Decision support algorithm to prevent hardware failures by E. A. Abidova

“…The algorithm is based on the consistent application of singular spectrum analysis and allows not only timely detecting of deviations, but also assessing the probability of a decision error. …”
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ANALISIS KEKELIRUAN BAHASA LISAN DAN TULISAN PADA ANAK USIA 6-7 TAHUN BERDASARKAN KONTEKS WACANA by Zayin Zakiya Umma Taqwa, Muhammad Fuad, Siti Samhati, Sumarti Sumarti, Nurlaksana Eko Rusminto

“…The method of observing and noting is used to analyze language errors spoken by children. The data obtained will be analyzed by reducing the data and drawing conclusions. …”
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METHOD FOR INCREASING THE ACCURACY OF MEASUREMENT INTELLIGENT ELECTRICITY METERING SYSTEMS by R. K. Gereykhanov, A. M. Magomedov

“…This article discusses the issues of improving the accuracy of measurements of the primary means of gathering information, the analysis of methods for automatic correction of errors on the basis of which the proposed solution to the problems associated with increasing the accuracy of data collection devices and electricity metering.…”
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Kesalahan Berbahasa Pada Teks Berita Covid-19 Di Media Daring CNN Indonesia by Ana Farichatun Naschah, Dwi Rahmawati, Triasih Triasih

“…Data analysis techniques were carried out starting from the beginning in the form of collection, recording, and classification. …”
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Prevalence and Associated Risk Factors of Visual Impairment among Children at Ibn Al-Haitham Eye Hospital in Baghdad,Iraq: A Cross-sectional Study by Baydaa Jaber Shamran, Zainora Mohammed, Hassenien Shuber, Mohd Harimi Abd Rahman, Norliza Mohamad Fadzil

“…The main causes of vision impairment were uncorrected refractive errors, cataracts and amblyopia. Multivariate analysis showed a high risk of VI among children living in urban areas (adj. …”
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