Improving Regional Dynamic Downscaling with Multiple Linear Regression Model Using Components Principal Analysis: Precipitation over Amazon and Northeast Brazil by Aline Gomes da Silva, Claudio Moises Santos e Silva

“…This method photographed the extreme events (outlier) that the prediction by averaging failed. …”
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Factors of employment of graduates of higher educational institutions in Guinea by A. Traore, N. V. Kazantseva

“…Using SPSS software, we have obtained the following results: the higher the level of education, the greater the chances of finding a job; personal initiative gives a better chance of finding a job than any other method of finding a job; men have an advantage over women in terms of employment opportunities; married people are luckier than single people; those who have had a previous job are also more likely to find a job than those who have not had; graduates who have lived abroad are more likely to find a job than those who have not lived abroad.…”
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siMacro: A Fast and Easy Data Processing Tool for Cell-Based Genomewide siRNA Screens by Nitin Kumar Singh, Bo Yeun Seo, Mathukumalli Vidyasagar, Michael A. White, Hyun Seok Kim

“…Here, we present siMacro, a fast and easy-to-use Microsoft Office Excel-based tool with a graphic user interface, designed to process single-condition or two-condition synthetic screen datasets. siMacro normalizes position and batch effects, censors outlier samples, and calculates Z-scores and robust Z-scores, with a spreadsheet output of >120,000 samples in under 1 minute.…”
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Finite Element Evaluation of the Effect of Adhesive Creams on the Stress State of Dentures and Oral Mucosa by Anantha Narayanan Ramakrishnan, Oliver Röhrle, Christopher Ludtka, Roshan Varghese, Josephine Koehler, Andreas Kiesow, Stefan Schwan

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One-year outcomes of traumatic injuries among survivors in Ethiopia: a cross-sectional study on the employment outcomes and functioning state by Ayalew Zewdie, Adamu Addissie, Marcia Finlayson, Ansha Nega Ahmed, Rosemary Lysaght

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Seasonal Variations in Mood and Behavior in Romanian Postgraduate Students by Joseph J. Soriano, Constantin Ciupagea, Kelly J. Rohan, Dorin B. Neculai, Samina M. Yousufi, Alvaro Guzman, Teodor T. Postolache

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Kořeny teorie spravedlivé války: od Platóna ke Grotiovi by Jiří Hutečka

“…While further development of this theory during 15th and 16th century brings in the growing distinction between defensive (even private) and offensive (punishing) war, alternative discourses are also mentioned in the works of Erasmus of Rotterdam, Machiavelli, Thomas More, Martin Luther, and others. The text finishes with the just war theory being systematized by Hugo Grotius, whose work is understood here as a peak of the above mentioned development on the one hand, as well as a core of the just war theory in the future on the other. …”
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How youth-led climate movements played a role in the passage of the United States’ first ever climate bill, the Inflation Reduction Act by Mélanie Meunier

“…The United States, compared to most OECD nations, is an outlier in its relative lack of support for climate measures. …”
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Development of Estimating Equation of Machine Operational Skill by Utilizing Eye Movement Measurement and Analysis of Stress and Fatigue by Satoshi Suzuki, Asato Yoshinari, Kunihiko Kuronuma

“…The estimating equation was derived through an outlier test (to eliminate nonstandard data) and a principal component analysis (to find dominant components). …”
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A Composite Recognition Method Based on Multimode Mutual Attention Fusion Network by Xing Ding, Xiangrong Zhang, Chao Liang, Bo Liu, Lanjie Niu

“…Finally, an analysis of the anti-outlier interference capability of the multimode fusion network with mutual attention is carried out. …”
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Relationship between major depressive disorder and myalgic encephalomyelitis/chronic fatigue syndrome: a two-sample mendelian randomization study analysis by Wenjing Song, Xinlei Hou, Minmin Wu, Luwen Zhu

“…Horizontal pleiotropy was detected using the MR-Egger intercept and the MR pleiotropy residual sum and outlier (MR-PRESSO) tests. Leave-one-out analysis was performed to investigate the sensitivity of the association between MDD and ME/CFS. …”
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Analysis of College Students’ Public Opinion Based on Machine Learning and Evolutionary Algorithm by Jinqing Zhang, Pengchao Zhang, Bin Xu

“…First, the singular value decomposition is used in pretreatment of data set which includes outlier detection and dimension reduction. Then, the genetic algorithm is introduced in the training process to find the proper initial parameters of network, and in this way, it can prevent the network from falling into the local minimum. …”
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Harmonization of the Long-term PM2.5 Carbon Data from the CSN Sites in New York State by Hesham Hassan, James Schwab, Jie Zhang

“…To address the above issue, field blanks are used to remove artifacts from samples, an outlier filter is applied to remove anomalies from the dataset, and a regression between retired samplers and the current sampler data is used to establish the harmonization between two co-located urban sites in this study. …”
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An efficient interpretable framework for unsupervised low, very low and extreme birth weight detection. by Ali Nawaz, Amir Ahmad, Shehroz S Khan, Mohammad Mehedy Masud, Nadirah Ghenimi, Luai A Ahmed

“…Our experiments demonstrated that One Class Support Vector Machine (OCSVM) and Empirical-Cumulative-distribution-based Outlier Detection (ECOD) effectively identified anomalies across different birth weight categories. …”
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The Role of Insulin, Insulin Growth Factor, and Insulin-Degrading Enzyme in Brain Aging and Alzheimer's Disease by Claude Messier, Kevin Teutenberg

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Wind Power Assessment Based on a WRF Wind Simulation with Developed Power Curve Modeling Methods by Zhenhai Guo, Xia Xiao

“…These approaches are improvements on the power curve modeling that is originally fitted by the single layer feed-forward neural network (SLFN) in this paper; in addition, a data quality check and outlier detection technique and the directional curve modeling method are adopted to effectively enhance the original model performance. …”
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Diagnosis of Coronary Heart Disease via Robust Artificial Neural Network Classifier by Adaptive Synthetic Sampling Approach by Elahe Moradi

“…Due to the presence of outliers, a robust method has been used to scale the dataset. …”
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Authenticity Detection of Black Rice by Near-Infrared Spectroscopy and Support Vector Data Description by Hui Chen, Chao Tan, Zan Lin

“…Each time, the samples of a brand serve as the target class whereas other samples serve as the outlier class. Based on both the first two principal components (PCs) and original variables, three types of data descriptions were constructed. …”
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Construction of a Visual Saliency Model for Neighborhood Building Landmarks Based on K-Means Clustering by Chen Li, Zheng Qiao

“…Considering that the visual saliency of the landmarks in the neighborhood is reflected by the variance of the influencing factors and that the scope of the landmarks is localized, the local outlier detection algorithm is used to solve the variance of the secondary indicators. …”
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Acidity index of different buriti oil samples subjected to spectroscopy in infrared region and principal component analysis by Braian Saimon Frota da Silva, Bruno Willams Maciel Batista, Kevin Lucas Soares Costa, Cláudio Nahum Alves, Simone de Fátima Pinheiro Pereira, Nelson Rosa Ferreira

“…The statistical methods identified patterns of similarities between the samples with a close AI and tested an outlier from the sample with the highest AI. The application of ATR-MIR-FTIR, associated with chemometric methods, is appropriate to evaluate the acidity of buriti palm oil samples.…”
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