Inter-assay variability in the measurement of urinary C-terminal cross-linked telopeptide of type II collagen following anterior cruciate ligament reconstruction by Lachlan M. Batty, Kate E. Webster, Natasha Vassileff, Jereme G. Spiers, Haydn J. Klemm, Brian Devitt, Timothy S. Whitehead, Andrew F. Hill, Julian A. Feller

“…The specific assay used is critical to consider when interpreting results and has implications for pooling data and meta-analysis.…”
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The relationship between neurofilament light chain and depressive symptoms according to cognitive status by Federico Bellelli, Jeremy Raffin, Davide Angioni, Julie Romana, Maria Soto, Julien Delrieu, Philipe De Souto Barreto, for the MAPT/DSA study group

“…METHODS This is a secondary analysis of the Multidomain Alzheimer Preventive Trial (MAPT), including 512 individuals (60.2% women) with a median age of 76 years (interquartile range [IQR]: 7) and with available data for plasmatic NfL levels. …”
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Granulomatous lymphocytic interstitial lung disease in common variable immune deficiency: an in-depth clinical, immunological, functional and radiological exploration with a focus... by Mattia Moratti, Mattia Moratti, Gioacchino Schifino, Francesco Baccelli, Francesco Baccelli, Simona Ferrari, Elisabetta Magrini, Mirna Bassi, Aldo Guerrieri, Maurizio Zompatori, Marcello Lanari, Marcello Lanari, Francesca Conti, Francesca Conti

“…Current management strategies for GLILD rely on expert opinion due to a lack of randomized controlled trials (RCTs).ObjectivesThis study aims to provide a comprehensive immunophenotypical characterization of CVID patients with and without GLILD, investigate predictive biomarkers for GLILD development, and explore therapeutic strategies, particularly during concomitant SARS-CoV-2 and chronic cytomegalovirus (CMV) infections.SourcesPrimary data were collected from a cohort of 25 patients with CVID who underwent high-resolution computed tomography (HRCT), immunophenotyping, and serum immunoglobulin analysis at diagnosis and after immunoglobulin replacement therapy. …”
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A high-resolution 20K SNP array for comprehensive genotyping and genetic mapping in Nicotiana tabacum L. by Shizhou Yu, Zhixiao Yang, Jie Zhang, Linggai Cao, Jie Liu, Peng Lu, Jiemeng Tao, Jufen Wan, Qingdong Zeng, Tenghang Xu, Peijian Cao, Jingjing Jin, Xueliang Ren

“…Performance metrics demonstrated its robustness, with high SNP call rates (93.6%–99.8%), a low technical error rate (< 1%), and a superior PolyHighResolution SNP rate (79.79%) compared to other crop SNP arrays. …”
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Hyperspectral imaging for precision nitrogen management: A comparative exploration of two methodological approaches to estimate optimal nitrogen rate in processing tomato by Vito Aurelio Cerasola, Francesco Orsini, Giuseppina Pennisi, Gaia Moretti, Stefano Bona, Francesco Mirone, Jochem Verrelst, Katja Berger, Giorgio Gianquinto

“…The direct biomass retrieval from spectral data was compared with the indirect biomass retrieval from the remotely sensed LAI applying empirical regressions. …”
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Fitts’ law-based identification of motor development stages for the upper limb: proof of concept in three age groups by Cristina Sanchez, Eloy Urendes, Alejandra Aceves, María Martínez-Olagüe, Rafael Raya

“…TP and ER were calculated and the data were statistically analyzed using an analysis of variance (ANOVA) and post-hoc tests to identify differences between groups. …”
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Patent Activity of Countries and Sectors in Graphene-Based Technologies by Piotr Nawrocki

“…Issues may arise from classification errors, inconsistencies in name standardization, transcription errors, and data incompleteness, all of which may affect the accuracy of the analysis results. …”
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Conscious and Correct Use of Biostatistical Methods in Medical Researches: From Planning to Reporting the Results - Part II by Erdem Karabulut, Mehmet Ali Sungur

“…It should be note that, no statistical analysis method can correct erroneous data obtained from a poorly designed study.…”
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3D Modeling for Slope Angles and Volume of Underground Conduits Using RGB-D Camera by Seunghan Paek, Sang Hwa Lee, Sanghyun Joo, Jong-Il Park

“…For synthetic data, the proposed system shows errors within 1%, and for real data, it achieves errors within 3% compared to highly precise measurements. …”
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Verification of Laboratory Information System - An Observational Study by Ganesh K Poojari, Maitreyee D S

“…If the LIS is interfaced with analyzers and hospital information system it is imperative to verify the LIS interfaced to analyzers to avoid any errors in the data transfer that can lead to improper patient care.AimsObjectives The study aimed to verify the LIS interfaced with analyzers for accuracy of data transfer of different tests performed in the analyzers across different steps in the reporting process. …”
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A mixed‐methods needs assessment to identify pharmacology education objectives for emergency medicine residents by Ashley C. Rider, Brian T. Dang, Holly A. Caretta‐Weyer, Kimberly A. Schertzer, Michael A. Gisondi

“…This study is limited due to its small sample and single institution source of data. Future studies should investigate the impact of pharmacology curriculum on minimizing clinical errors.…”
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Examine frameworks policies and strategies for effective information governance in healthcare organizations. by Richard Okyere Boadu, Victor Wireko Adu, Kwame Adu Okyere Boadu, Baishatu Ibrahim, Prince Akey, Amponsah Amishadas Mensah, Godwin Adzakpah, Nathan Kumasenu Mensah

“…Open-ended questions were coded and analyzed with Qualitative Data Analysis Miner 6.0, deploying inductive thematic analysis.…”
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Analyzing The Encountered Problems and Possible Solutions of Converting Relational Databases to Graph Databases by Ramazan Altın, A. Cumhur Kınacı

“…In addition, it is aimed to prevent data loss and data inconsistency that may occur withdesign errors in relational databases. …”
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Implementation of the Prototype Method in Developing a Questionnaire Information System for Integrated Survey Services by Rhoedy Setiawan, Zainur Romadhon, Alvin Rainaldy Hakim

“…Universitas Muria Kudus (UMK) still relies on manual survey methods, leading to data duplication, input errors, and delays in analysis. …”
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Investigating the causal relationship between immune factors and ankylosing spondylitis: insights from a Mendelian Randomization study by Ziming Geng, Yang Tong, Yang Chen, Jian Wang, Ziwen Liu, Jun Miao, Ruihua Li

“…FDR correction was applied to both analysis directions to rectify multiple testing errors. …”
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Development and Optimization of IoT-Based Weighing Rain Gauge by Aldrich L. Saniel, Roma Joy D. Ombao, James Micole T. Montemayor, Jandrix Clarence B. Hoybia, Philip Angelito M. Cruz, Pierre Sheann B. Hernandez, Rommel Glenn S. Mendova, Dan William C. Martinez, Ariel N. Panaligan

“…Calibration used hysteresis and linear regression analysis to minimize errors, ensuring 99.999 % data accuracy. …”
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Genotypic and Phenotypic Association of Agronomic Features in Triticale Genotypes under Drought Stress Conditions by Hassan Basiri, Omid Alizadeh, Forud Bazrafshan, Mehdi Zare, Mohammad Yazdani

“…Different traits, including plant height, leaf angle, leaf weight, total dry matter, spike length, spike weight, spike number, grain number, straw yield, harvest index, and grain yield, were measured for all applied genotypes in this study. The data obtained from this experiment were first subjected to the composite analysis of variance, and year variance, environmental variance, genotypic variance, phenotypic variance, and test error variance were estimated based on these calculations. …”
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Problems of Scientometrics and its Suitability for Management Scientific Activity in Modern Russia by А. V. Grinev

“…The data and recommendations obtained as a result of the study will help management structures avoid obvious omissions and errors in planning and monitoring the scientific activities of university and academic research institute staff, as well as optimize scientometric reporting.…”
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The usage of power system multi-model forecasting aided state estimation for cyber attack detection by I. A. Lukicheva, A. L. Kulikov

“…State Estimation is used to identify the present power system operating state and eliminating metering errors and corrupted data. In particular, when a real measurement is replaced by a false one by a malefactor or a failure in the functioning of communication channels occurs, it is possible to detect false data and restore them. …”
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Robust Variable Selection via Bayesian LASSO-Composite Quantile Regression with Empirical Likelihood: A Hybrid Sampling Approach by Ruisi Nan, Jingwei Wang, Hanfang Li, Youxi Luo

“…Moreover, the proposed method imposes no restrictive assumptions on the distribution of random errors in the model. Through Monte Carlo simulations under outlier interference and empirical analysis of two U.S. house price datasets, we demonstrate that the new approach significantly enhances variable selection accuracy, reduces estimation bias for key regression coefficients, and exhibits robust resistance to data outlier contamination.…”
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