Morphology, Geology and Water Quality Assessment of Former Tin Mining Catchment by Muhammad Aqeel Ashraf, Mohd. Jamil Maah, Ismail Yusoff

“…Quality assurance (QA) and quality control (QC) procedures were strictly followed throughout the field work and data analysis. Different procedures were employed to evaluate the analytical data and to check for possible transcription or dilution errors, changes during analysis, or unusual or unlikely values. …”
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Dark Energy Survey Year 6 Results: Point-Spread Function Modeling by T. Schutt, M. Jarvis, A. Roodman, A. Amon, M. R. Becker, R. A. Gruendl, M. Yamamoto, K. Bechtol, G. M. Bernstein, M. Gatti, E. S. Rykoff, E. Sheldon, M. A. Troxel, T. M. C. Abbott, M. Aguena, A. Alarcon, F. Andrade-Oliveira, D. Brooks, A. Carnero Rosell, J. Carretero, C. Chang, A. Choi, M. Crocce, L. N. da Costa, T. M. Davis, J. De Vicente, S. Desai, H. T. Diehl, S. Dodelson, P. Doel, C. Doux, A. Drlica-Wagner, A. Ferté, J. Frieman, J. García-Bellido, E. Gaztanaga, G. Giannini, D. Gruen, G. Gutierrez, W.G. Hartley, K. Herner, S. R. Hinton, D. L. Hollowood, K. Honscheid, D. Huterer, E. Krause, K. Kuehn, O. Lahav, S. Lee, M. Lima, J. L. Marshall, J. Mena-Fernández, R. Miquel, J. J. Mohr, J. Muir, J. Myles, R. L. C. Ogando, A. Pieres, A. A. Plazas Malagón, A. Porredon, M. Raveri, M. Rodriguez-Monroy, S. Samuroff, E. Sanchez, D. Sanchez Cid, I. Sevilla-Noarbe, M. Smith, E. Suchyta, G. Tarle, V. Vikram, A. R. Walker, N. Weaverdyck, Y. Zhang, The DES Collaboration

“…Through a comprehensive set of diagnostic tests, we demonstrate the improved accuracy of the Y6 models evident in significantly smaller systematic errors than those of the Y3 analysis, in which all $g$ band data were excluded due to insufficiently accurate PSF models. …”
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Comparison of Brightness Temperature Simulations Based on Different Land Surface Models with FY-4A/AGRI Measurements by Liu Bingtong, Li Xin, Li Yubin, Qin Zhengkun, Liu Weiguang

“…Before applying satellite data for atmospheric parameter retrieval or assimilation, it is essential to conduct a quantitative analysis of data biases. …”
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Leveraging Blockchain Technology to Enhance Climate Resilience in Agriculture by Husain Saif O., Mohammed G., Poornima Ediga

“…The findings show that on average, the amount of data integrity errors was reduced by a factor of ten, and the overall costs are lower than the traditional approach and were more efficient to operate. …”
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Design and Implementation of an Online Electronic Platform to Manage Education Activities in the Computer Science Department at Mosul University by Ali Modhar Yahiya, Ammar Thaher Yaseen

“…The electronic system would reduce mistakes caused in the manual use of lecturers’ data. Additionally, it would speed up data access in case of viewing, updating or deleting the data without any errors. …”
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CHNSO Elemental Analyses of Volatile Organic Liquids by Combined GC/MS and GC/Flame Ionisation Detection Techniques with Application to Hydrocarbon-Rich Biofuels by Jude Azubuike Onwudili, Morenike Ajike Peters, Carine Tondo Alves

“…This work proposes the use of the GC/FID method as a reliable alternative for CHNSO analysis of volatile organic liquids and suggests that employing the GC/FID technique can mitigate the common errors associated with conventional CHNSO analysis of such samples. …”
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Counter-verification in performance-based financing: key insights from the Côte d’Ivoire experience by Joël Arthur Kiendrébéogo, Kouadjo San Boris Bediakon, Jean-Pierre Tsafack, Marin Passerat De Silans, Robert Yao Kouakou, Clovis Kouassi Konan, Sosthène Dougrou, Xavier Lannuzel, Serge Mayaka Manitu

“…Results Our analysis revealed mixed results when comparing the verified and counter-verified data. …”
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DOMINANT TYPE OF SUNDANESE GRAMMATICAL INTERFERENCE IN ENGLISH SENTENCES AT NURUL WAFA ISLAMIC BOARDING SCHOOL by Risa Asriani, Erlan Aditya Ardiansyah, Nurholis Nurholis

“…The writer also made observations for data collection methods.As the result, the findings of this study indicated that there are two types of grammatical interference which are equally dominant in the 15 data analysis from the sentences that mixed with Sundaese particle (rarangkén and kecap pangateb) and from sentences that contain errors and interference in the use of Subject-Verb agreement, passive voice and  tenses; misplaced structures or word orders pattern, In the two types of sentences, each found 11 types of sentences analyzed. …”
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Fuzzy One-Class Classification Model Using Contamination Neighborhoods by Lev V. Utkin

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Analytical model of the ADS-B information integrity radar monitoring by V. L. Kuznetsov, V. V. Dupikov

“…The paper presents a probable solution of enhancing the ADS-B information integrity level using reference data from a secondary surveillance radar. The main hypothesis of the analysis relates to a fine structure of the ADS-B data errors, which are divided into slowly varying in time ADS-B errors (i.e. biases) and noise-like processes that are character-ized by a small time correlation in comparison with the measurement process period. obtained The probabilities estimates of missed detection and false alert have been obtained.…”
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A Bayesian Hierarchical Approach to Quasi-Replicate Dataset Modelling by Hassan M. Aljohani, Robert G. Aykroyd

“…As well as presenting a novel analysis of autoradiography data, the proposed method also provides a general framework for dealing with a wide variety of practical data analysis problems, showing potential for widespread use across the experimental sciences.…”
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%diag_test: a generic SAS macro for evaluating diagnostic accuracy measures for multiple diagnostic tests by Jacques K. Muthusi, Peter W. Young, Frankline O. Mboya, Samuel M. Mwalili

“…By automating analysis, the macro adds value by saving analysis time, reducing transcription errors, and producing publication-quality outputs.…”
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“Chatbot Communication” as an Object of Linguistic Research in the System of Digital Communications by S. V. Kiseleva, A. A. Smirnova, N. A. Trofimova

“…Corpus text analysis helps to consider the object of study from a linguistic point of view and supplement existing knowledge with linguistic data. …”
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Peran Guru dalam Pembelajaran Membaca dan Menulis Siswa SD Kelas Rendah by Ummul Khair, Kholik Kholik

“…Data analysis uses three stages consisting of data reduction, data presentation, and drawing conclusions. …”
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Impact of artificial intelligence using the robotic process automation system on the efficiency of internal audit operations at Jordanian commercial banks by Abdalla Alassuli

“…In this study, 480 electronic questionnaires were distributed via Google Forms, and 390 completed forms were collected for further analysis. The study employs descriptive statistics and advanced statistical techniques, such as linear regression analysis, for data analysis. …”
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Blood transfusion knowledge and practice among nurses in Turkey: A scenario sample by Asiye Durmaz Akyol, Hülya Kankaya, Filiz Özel, Gülbin Konakçı

“…MATERIALS AND METHODS: “Nurse Information Form”, “The Blood Transfusion Knowledge Questionnaire” and “The scenario form and a video taken on the errors and drawbacks related to blood transfusion” were used as data collection instruments. …”
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Computational modelling of bone growth and mineralization surrounding biodegradable Mg-based and permanent Ti implants by Nik Pohl, Domenik Priebe, Tamadur AlBaraghtheh, Sven Schimek, D.C. Florian Wieland, Diana Krüger, Sascha Trostorff, Regine Willumeit-Römer, Ralf Köhl, Berit Zeller-Plumhoff

“…Moreover, we show that the model is predictive in terms of relative bone volume fraction with mean absolute errors below 6%.…”
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AGW-YOLO-Based UAV Remote Sensing Approach for Monitoring Levee Cracks by HU Weibo, ZHOU Shaoliang, ZHAO Erfeng, ZHAO Xueqiang

“…To enhance the dataset's generalization performance, various data augmentation techniques, including random image rotation, were applied. …”
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Studying the Methods of Drought Coping by Farmers: (Case Study: Shirvan County of Northern Khorasan Province) by Ahmad Abedi Sarvestani, Khalil Ghorbani, Gohar Khaksar-Moghadam

“…Reliability was confirmed by calculating the Kuder-Richardson coefficient (r=0.72). Data analysis was done by SPSS software. 3-Results and Discussion This study showed that farmers have used different strategies to deal with drought. …”
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Estimating latent heat flux of subtropical forests using machine learning algorithms by Harekrushna Sahu, Pramit Kumar Deb Burman, Palingamoorthy Gnanamoorthy, Qinghai Song, Yiping Zhang, Huimin Wang, Yaoliang Chen, Shusen Wang

“…Nonetheless, validation against the in situ eddy covariance measurement reveals significant errors in MODIS LE estimation. Our study integrates ground‐measured, reanalysis and satellite data to predict LE by leveraging the advantage of the data‐driven method. …”
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