Benchmarking and improving algorithms for attributing satellite-observed contrails to flights by A. Sarna, V. Meijer, R. Chevallier, A. Duncan, K. McConnaughay, S. Geraedts, K. McCloskey

“…We also introduce a novel, highly scalable contrail-to-flight attribution algorithm that leverages the characteristic compounding of error induced by simulating contrail advection using numerical weather models. …”
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Insights into Wall-Jet Scouring Characterization with the Kinect Device: Benefits and Limitations by Hadi Bali, Seyed Hossein Mohajeri, Amir Samadi

“…The Kinect device can accurately measure wall-jet scour holes in dry conditions with an accuracy of ±0.05 cm, but significant errors occur in the presence of water due to water surface refraction. …”
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Didactic Design of Cube Nets based on Ethnomathematics of Engklek Game in Elementary School : An Educational Innovation by Andika Arisetyawan, Rika Asterina Ariadi, Irfan Fauzi

“…The results of this research show that: 1) In the retrospective stage, obstacles such as conceptual errors, principle errors, and verbal errors were identified, which became the basis for creating the hypothetical didactic design, 2) In the metapedadidactic stage, the initial didactic design was developed by integrating the cultural elements of the Engklek game and resulted in a new 2-2-2 pattern, and 3) In the retrospective analysis, the revised didactic design based on the ethnomathematics of the Engklek game with the new 2-2-2 pattern can be used to teach the concept of cube nets in mathematics education. …”
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Bias in data-driven replicability analysis of univariate brain-wide association studies by Charles D. G. Burns, Alessio Fracasso, Guillaume A. Rousselet

“…Here we test part of this framework, namely estimates of statistical errors of univariate brain-behaviour associations obtained from resampling large datasets with replacement. …”
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Optimizing Supply Chain Resilience Using Advanced Analytics and Computational Intelligence Techniques by Jie Xu, Lixing Bo

“…Additionally, the system demonstrates notable improvements in operational efficiency, with increased system uptime and reduced order error rates. The implications of this research are substantial; it provides a comprehensive framework that combines predictive and optimization capabilities, offering a robust solution to contemporary SCM challenges. …”
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A Deep Learning Method for Photovoltaic Power Generation Forecasting Based on a Time-Series Dense Encoder by Xingfa Zi, Feiyi Liu, Mingyang Liu, Yang Wang

“…Additionally, we explore the TiDE model’s sensitivity to input environmental variables, algorithmic versatility, and the implications of forecasting errors on PV grid integration. …”
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Enhancing thermal transport in chemically reacting nanoparticles using the energy source and Cattaneo-Christov heat flux model by Shazia Habib, Saleem Nasir, Zeeshan Khan, Abdallah Berrouk, Saeed Islam, Asim Aamir

“…The important and intriguing feature of this remarkable work is that, for all parameters examined, the heat transfer rate rises with minimal measurement of errors, consistent with the core objective of applying nanofluids to nanotechnology for their prospective implications.…”
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Nominal Performance of Future Dual Frequency Dual Constellation GBAS by Daniel Gerbeth, Mihaela-Simona Circiu, Maria Caamano, Michael Felux

“…Based on this the consequences when adding a second constellation as well as frequency are investigated. Geometrical implications and changes to the residual differential error bounds are studied separately first. …”
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Identifying coastline positions and types based on both the moisture content and feature knowledge of ground objects by Chao Chen, Shaojun Gong, Nan Xu, Xiyong Hou, Zhaohui Yang, Weiwei Sun, Gang Yang

“…The validation test showed that: (1) the model could accurately identify different coastline types with clear water-land boundaries and precise spatial positions; (2) the average distances between the coastlines identified by the proposed method and the true coastlines was 3.82 m with a root mean square error of 8.78 m, with 97.56% of the distance errors being less than one pixel width; (3) from 1985 to 2022, the total coastline length increased from 2,152.42 km to 2,264.79 km, with an average annual increase of 3.03 km per year. …”
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Selection of appropriate multispectral camera exposure settings and radiometric calibration methods for applications in phenotyping and precision agriculture by Vaishali Swaminathan, J. Alex Thomasson, Robert G. Hardin, Nithya Rajan, Rahul Raman

“…This study quantified the potential radiometric errors from the conventionally used autoexposure settings and compared the agronomic implications of fixed exposure and autoexposure settings. …”
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Microstate Dynamics in Working Memory: Exploring Spatial Information Coding of Stimulus and Behavioral Performance by Hamideh Norouzi, Mohammad Reza Daliri

“…Methods EEG and Eye‐tracking data were recorded from participants performing an MGS task at two target eccentricities (near and far). Saccade error was used as a behavioral index of WM performance. …”
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Early maladaptive schemas from child maltreatment in depression and psychotherapeutic remediation: a predictive coding framework by Gita Ramamurthy, Alan Chen

“…Discrepancy between predicted versus actual experience produces a “prediction error.” Exposure to prediction errors considered more certain than the predictions of a schema prompts the hippocampus to update and revise the schema. …”
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Iranian EFL Teachers’ Cognition of Corrective Feedback as an Element of Classroom Management: A Qualitative Study by Abbas Ali Rezaee, Mohammad Hussein Norouzi, Nafeeseh Aryaeian

“…Moreover, the participants believed that corrective feedback should be provided for common errors and errors related to lesson objectives. They classified EFL learners’ errors in terms of the purpose of activities (communication vs. form, and fluency vs. accuracy). …”
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The impact of BIM on project time and cost: insights from case studies by Karan Das, Salman Khursheed, Virendra Kumar Paul

“…These findings are synthesized into a decision-making framework that estimates the probability of errors, evaluates their potential time and cost implications, and ensures alignment with project budgets. …”
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BUSINESS PLANNING STARTUPS IN CONTEXT, ATTRACTING VENTURE CAPITAL INVESTMENT by V. A. Vernikov

“…As the experience of western businessmen, errors that may have occurred during the development of a business plan: the unreliability and incompleteness of the input information; ignoring the need to prepare an analysis of the market or use in its preparation unreliable sources; errors in the calculations carried out, their incompleteness; errors in the text part of the business plan, as well as non-compliance with the logic of the material, its scarcity, unprofessional calculations; lack of risk analysis. …”
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Enhancing inventory accuracy in dairy industries by Francisco Tiago Araújo Barbosa, Maria Silene Alexandre Leite, Mauro Sergio Carneiro Mascarenhas, Rogerio Santana Peruchi

“… Goal: The goal is to analyze the application of Lean Six Sigma and DMAIC in the inventory management of a dairy industry, aiming to optimize inventory accuracy, reduce picking errors, and enhance OTIF performance, thereby improving overall operational efficiency. …”
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The importance of interlanguage in language teaching: an analysis of its development in l2 learners by Saverio Barone

“…These errors are not random but arise from the intermediate interlanguage system that learners develop. …”
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Multi-source data joint processing framework for DEM calibration and fusion by Cuilin Yu, Qingsong Wang, Zibo Zhang, Zixuan Zhong, Yusheng Ding, Tao Lai, Haifeng Huang, Peng Shen

“…This framework establishes a systematic way for correcting DEM errors of varying quality and integrating multi-source data, leveraging deep learning-based calibration and spatially adaptive fusion techniques to enhance DEM accuracy and consistency in large and complex regions. …”
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A Case Study to Evaluate the Combined Effect of Shatavari Ghrita Tarpana and Eye Exercises in Pratama Patalagata Timira with Special Reference to Simple Myopia by Mohana Kumari, S M Pasha

“…Simple myopia is a common refractive error with significant implications for daily functioning and overall quality of life. …”
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Stock Market Index Prediction Using CEEMDAN-LSTM-BPNN-Decomposition Ensemble Model by John Kamwele Mutinda, Abebe Geletu

“…The model’s predictive accuracy is measured using six metrics: root mean squared error (RMSE), mean absolute error (MAE), mean absolute percentage error (MAPE), symmetric mean absolute percentage error (SMAPE), root mean squared logarithmic error (RMSLE), and R-squared. …”
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