CellMAP: an open-source software tool to batch-process cell topography and stiffness maps collected with an atomic force microscope by Antoine Allard, Maxime Liboz, Raphaël Crépin, Sid Labdi, Olek Maciejak, Michel Malo, Clément Campillo, Guillaume Lamour

“…Our analysis pipeline includes but is not limited to: flattening of the underlying substrate surface, filtering of outlier values, measurement of the cell surface and volume, and measurement of height and stiffness distributions. …”
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Comprehensive evaluation of seasonal forecasts from NMME and statistical models over the Blue Nile Basin and the Grand Ethiopian Renaissance Dam (GERD) watershed by Mekonnen Gebremichael, Yu-Chuan Tien, Vahid Nourani

“…Some models significantly overestimate precipitation across the years, others show substantial underestimation, some indicate minimal bias across most years, and a few demonstrate generally low bias with large outlier biases in specific years. Depending on the model, NMME can explain only from 2 % to 24 % of the summer precipitation variability. …”
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Alzheimer’s disease and antibody-mediated immune responses to infectious diseases agents: a mendelian randomization study by Jiayuan Zhang, Mingming Wang, Dong Wang, Linwen Deng, Yao Peng

“…Sensitivity analysis was also performed using MR-Egger regression, MR-pleiotropy residual sum, and outlier tests. Results Two causal associations were identified between antibody-mediated immune responses to infectious diseases agents and AD. …”
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Liderazgo y coaching ontológico. Caso: empresas venezolanas del sector de alimentos y bebidas by Carmen Teresa Loaiza, Elizabeth Thaili Castro de Torres

“…El artículo tiene como objetivo caracterizar las competencias de coaching, desde el modelo ontológico, en el liderazgo venezolano dentro del sector alimentos y bebidas, con base en los planteamientos de Lussier y Achúa (2011), Zepeda (1999), Echeverría (2005, 2006 y 2011), Bequer (2008), entre otros. …”
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The interaction effect of personality hardiness and fear of failure to predict achievement motivation adolescents of working mother by Syarifah Farradinna, Sindy Putri Arlena

“…After collecting and analyzing 280 questionnaires for outlier analysis, 188 were found valid for further study. …”
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Development and Supervision of Robo-Advisors under Digital Financial Inclusion in Complex Systems by Wensheng Dai

“…First, the traditional K-means algorithm is used to select the initial clustering center, to improve the noise and outlier processing capabilities, and to build a data mining system based on the improved algorithm. …”
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Estimation of Phenology Stages of Rapeseed Using Remote Sensing Vegetation Indices and Digital Camera Images Index by Akbar Mirahmadi, Hojjatollah Yazdan Panah, Mehdi Momeni

“…The Savitzky-Goli filter was used to remove outlier data and to produce smooth curves of time series of plant indices. …”
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Identification Method of Highway Accident Prone Sections Under Adverse Meteorological Conditions Based on Meteorological Responsiveness by Yanyang Gao, Chi Zhang, Maojie Ye, Bo Wang

“…By integrating road geometry, weather data, and accident site information, meteorological events were identified, categorized, and assigned a meteorological responsiveness score. Outlier sections were processed for preliminary screening, enabling the identification of high-risk segments. …”
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Auditing the clinical usage of deep-learning based organ-at-risk auto-segmentation in radiotherapy by Josh Mason, Jack Doherty, Sarah Robinson, Meagan de la Bastide, Jack Miskell, Ruth McLauchlan

“…The audit allowed assessment of the level and frequency of editing and identification of outlier cases.…”
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Preprocessing Approach for Power Transformer Maintenance Data Mining Based on k-Nearest Neighbor Completion and Principal Component Analysis by Moïse Manyol, Samuel Eke, Alphonse J. M. Massoma, Alain Biboum, Ruben Mouangue

“…In reality, many databases are characterized by attributes with outliers, redundant, and even more missing values. …”
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AI-Based Screening Method for Early Identification of Invasive Ductal Carcinoma in Breast Cancer by Dominik Jánošík, Sila Yavuz

“…Subsequently, we employed the U-Net network for image segmentation to distinguish cancer cells from healthy breast tissue and eliminate outlier data. Next, by leveraging deep neural networks, we extracted effective features, and through a majority vote method, we performed data classification to establish a screening structure for the diagnosis of invasive ductal carcinoma of breast tumors. …”
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A novel ambiguity resolution model of BeiDou navigation satellite system/inertial navigation system tightly coupled for kinematic-to-kinematic precise relative positioning by Ling Wu, Yongrong Sun, Xiyu Fu, Qinghua Zeng

“…Especially, in the complex dynamic environment, ambiguity resolution effect is influenced by the satellite signal blocked, multipath outlier, and abnormal state prediction. Aiming at the problems, a novel inertial navigation system–aided robust adaptive filtering ambiguity resolution model is proposed. …”
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Predicting the heat capacity of strontium-praseodymium oxysilicate SrPr4(SiO4)3O using machine learning, deep learning, and hybrid models by Amir Hossein Sheikhshoaei, Ali Khoshsima, Davood Zabihzadeh

“…The analysis indicated that the Hybrid model could accurately anticipate how the heat capacity of strontium-praseodymium oxysilicate would change. In conclusion, outlier detection was performed using the Leverage method to identify any anomalous data points, thereby illustrating the effective range of the proposed Hybrid model.…”
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Spatiotemporal dynamics and prevention strategies of cervical cancer incidence in Addis Ababa, Ethiopia: an ecological study by Mathewos Assefa, Eva Johanna Kantelhardt, Teferi Gedif Fenta, Tariku Shimels

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Towards a net-zero healthcare system in Kenya: Stakeholder perspectives on opportunities, challenges and priorities by Iris Martine Blom, Melvine Anyango Otieno, Susannah Mayhew, Neil Spicer, Andy Haines, Sarah Whitmee

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Impact of the abolition of copayments on the GP-centred coordination of care in Bavaria, Germany: analysis of routinely collected claims data by Werner Maier, Antonius Schneider, Lars Schwettmann, Ewan Donnachie, Martin Tauscher, Roman Gerlach, Klaus Linde, Michaela Olm

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Robust and Automated Internal Quality Grading of a Chinese Green Tea (Longjing) by Near-Infrared Spectroscopy and Chemometrics by Xian-Shu Fu, Lu Xu, Xiao-Ping Yu, Zi-Hong Ye, Hai-Feng Cui

“…To remove the influence of abnormal samples, The Stahel-Donoho estimate (SDE) of outlyingness was used for outlier analysis. Partial least squares discriminant analysis (PLSDA) was then used to classify the grades of tea based on NIR spectra. …”
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Impact of the COVID-19 pandemic on intra-household gender disparities in the Middle East and North Africa region: A scoping review protocol. by Malak Ghezzawi, Sasha Fahme, Salpy Naalbandian, Jocelyn DeJong, WOMENA Study Group

“…<h4>Introduction</h4>The Middle East and North Africa (MENA) is a global outlier both for its low female labor force participation and investment in early childhood development services, and consistently ranks lowest on global rankings of gender parity. …”
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Three-Dimensional Point Cloud Displacement Analysis for Tunnel Deformation Detection Using Mobile Laser Scanning by Mahamadou Camara, Liying Wang, Ze You

“…The preprocessing pipeline includes the precise extraction of cross-sectional linings through local point density outlier removal techniques to enhance data accuracy. …”
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Prediction and Fitting of Nonlinear Dynamic Grip Force of the Human Upper Limb Based on Surface Electromyographic Signals by Zixiang Cai, Mengyao Qu, Mingyang Han, Zhijing Wu, Tong Wu, Mengtong Liu, Hailong Yu

“…After preprocessing the data, including outlier removal, wavelet denoising, and baseline drift correction, the NARX model was used for fitting analysis. …”
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