NEW ORGANIZATION PROCESS OF FEATURE SELECTION BY FILTER WITH CORRELATION-BASED FEATURES SELECTION METHOD by Olga Solovei

“… The subject of the article is feature selection techniques that are used on data preprocessing step before building machine learning models. …”
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Anomaly distribution acquisition method for probabilistic damage tolerance assessment of hole features by Guo Li, Huimin Zhou, Junbo Liu, Shuyang Xia, Shuiting Ding

“…The default anomaly distribution of hole features has been established and published in airworthiness advisory circular 33.70-2 based on historical anomaly data collected from cracked or ruptured parts recorded in laboratory analysis reports of the special industries before 2005. …”
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Impact wear behavior of austenitic steel bucket teeth based on machine learning by Zhihui Cai, Jianfeng Yan, Yandong Qiao, Rongjie Li, Yanchun Shi, Junping Zhang, Zhixiong Zhang

“…A particle swarm optimization support vector machine was employed to accurately predict wear depth. The mean values of the determination coefficient (R2) before and after feature selection were 0.96294 and 0.98074, respectively, further validating the accuracy of the feature selection process and providing a ranking of importance for identifying key factors to enhance wear resistance.…”
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Non‐Invasive Tumor‐Naïve Minimal Residual Disease Detection of Liver Cancer by Incorporating Circulating Tumor DNA Features and Alpha‐Fetoprotein: A Prospective Study by Qingqi Ren, Shiyong Li, Guolin Zhong, Yunfei Li, Dao‐Ling Huang, Liangliang Zhang, Yumin Feng, Guanghui Long, Mao Mao

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Examination of the Psychometric Properties of the Borderline Personality Inventory in an Adolescent Sample by Yasemin Kahya, Koret Munguldar, Melis Gün

“…The risk of hospitalization, self-harm, and suicidality are much higher in BPD compared to other psychopathologies. Detecting BPD symptoms during adolescence and determining the necessary treatment modalities are important. …”
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Determination of the KIC Fracture Toughness of the X210Cr12 High-Strength Material by Ergun ATEŞ

“…It is valuable to determine the KIC value, as fracture problems may occur in designs prepared with the material. …”
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The Pore Diffusion Coefficient of Iodide Ion in Rock Samples Using X-ray K-edge Imaging by Jiujiang ZHAO, Zhe WANG, Zhidu ZHANG, Hong ZHAO

“…To minimize the shape effect of cylindrical samples, the average greyscale values, which were selected from the area of ±5mm to the center of radial direction, were used for calculating the iodide ion pore diffusion coefficient. …”
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Selective Separation of Scandium in Acidic Water Using Carboxyl Functionalized Covalent Phosphonitrile Polymers by Yu BAI, Ayinuer WUSHUER, Lei OUYANG, Lijin HUANG, Qin SHUAI

“…Both materials have the ability to selectively adsorb Sc(III), with Kd values of 5.1×102mL/g and 4.0×103mL/g for Sc(III), respectively. …”
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PCSK9 is upregulated and correlated with more severe disease condition but fails to predict treatment outcomes in psoriasis patients by Xuwen Yin, Lei Shi, Ni Zhang, Heng Li, Jianwen Long, Xinjian Yu

“…Baseline characteristics and treatment response after 12-week treatment were collected. Their serum samples before treatment initiation were collected and sent to PCSK9 detection by enzyme-linked immunosorbent assay. …”
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Empowering Diagnostics: An Ensemble Machine Learning Model for Early Liver Disease Detection by Abdulrahman Ahmed Jasim, Hajer Alwindawi, Layth Rafea Hazim

“…We then perform correlation-based feature reduction before training a stacking classifier that combines Random Forest, XGBoost, and ExtraTrees base learners with an ExtraTrees meta‑learner. …”
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Evaluation of the effect of etching with ytterbium fiber laser on the bond strength, color stability, and fracture analysis of lithium disilicate ceramics to bovine teeth: an in vi... by Göknil Alkan Demetoğlu, Esra Talay Çevlïk

“…SEM analysis revealed micro-roughness in the acid-treated samples and mini-laser spots in the laser-treated groups, and no microfractures or cracks detected in any of the groups. …”
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An Evaluation of the Possibility of Using Buckwheat Hulls as an Addition to Bread by Joanna Maria Klepacka, Marta Czarnowska-Kujawska

“…The test material consisted of a control bread (without the addition of husk), bread with 10 and 20% husk (mixed with flour at the stage of dough preparation), and bread with a surface sprinkled with buckwheat husk (25 g) before baking. The semi-consumer evaluation involved 33 pre-trained persons who determined the degree of acceptance (desirability) of the selected bread’s sensory characteristics (colour, texture, smell and taste) using the nine-point hedonic scale. …”
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Ensemble learning approach for prediction of early complications after radiotherapy for head and neck cancer using CT and MRI radiomic features by Benyamin Khajetash, Seied Rabi Mahdavi, Alireza Nikoofar, Lee Johnson, Meysam Tavakoli

“…Combined $$T_1$$ weighted image-based models RT-BN, RT-LSVM-BN and RT-NN-LSVM-BN also show good performance having AUC values 0.97, 0.92, and 0.90, respectively. These results show that radiomic features from MR images obtained before radiotherapy can be used in addition to other metrics as personalized and unique biomarkers for prediction of early-onset xerostomia. …”
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Energy Failure Mechanism and Bedding Effect of Soaked Coal Under Uniaxial Compression by Xiaoling LIU, Zetian ZHANG, Ru ZHANG, Zhiguo CAO, Li REN, Ziwan SUN, Ersheng ZHA

“…The initial water content state of the test sample before immersion is natural. The coal samples are immersed in static water to simulate the soaking of the coal pillar dam body. …”
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Integrating multi‐omics features enables non‐invasive early diagnosis and treatment response prediction of diffuse large B‐cell lymphoma by Weilong Zhang, Bangquan Ye, Yang Song, Ping Yang, Wenzhe Si, Hairong Jing, Fan Yang, Dan Yuan, Zhihong Wu, Jiahao Lyu, Kang Peng, Xu Zhang, Lingli Wang, Yan Li, Yan Liu, Chaoling Wu, Xiaoyu Hao, Yuqi Zhang, Wenxin Qi, Jing Wang, Fei Dong, Zijian Zhao, Hongmei Jing, Yanzhao Li

“…Detection sensitivity achieved 91% at 99% specificity in early‐stage patients, while the AUC values of the individual omics model were 0.942, 0.968, 0.989, 0.935, 0.921, 0.781 and 0.917, respectively, with lower sensitivity and specificity. …”
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Correlation between EpCAM expression and cervical lymph node metastasis in papillary thyroid carcinoma: a study integrating ultrasonographic features by Xia Zhang, Jie Li, Ming Gao, Yan Zhang

“…Methods Participants with suspected thyroid cancer underwent conventional and contrast-enhanced ultrasonography (CEUS) before surgery. Age, sex, and nodule features in ultrasound were recorded. …”
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The data dimensionality reduction and bad data detection in the process of smart grid reconstruction through machine learning. by Bo Yu, Zheng Wang, Shangke Liu, Xiaomin Liu, Ruixin Gou

“…When the number of iTree n is determined to be 100, and the corresponding number of samples w is determined to be 10, the algorithm has the best detection effect. …”
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5-hydroxymethylcytosine sequencing of plasma cell-free DNA identifies epigenomic features in prostate cancer patients receiving androgen deprivation therapies by Qianxia Li, Chiang-Ching Huang, Shane Huang, Yijun Tian, Jinyong Huang, Amirreza Bitaraf, Xiaowei Dong, Marja T. Nevalainen, Manishkumar Patel, Jodie Wong, Jingsong Zhang, Brandon J. Manley, Jong Y. Park, Manish Kohli, Elizabeth M. Gore, Deepak Kilari, Liang Wang

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Investigating the Effects of Spectroscopic Method in Estimating Soluble Solid Content Values and Firmness of Cherries from an Environmental Point of View: Prediction of Environment... by Shirzad Naim, Shahgholi Gholamhossein, Ardabili Sina, Szymanek Mariusz

“…Next, by combining the feature selection method (relief) and the spectrometry method (vis-NIR), the effective wavelengths were extracted to estimate the soluble solid content (SSC) values and firmness of the cherry product. …”
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Chemical Composition and Sensory Profile of Sauerkraut from Different Cabbage Hybrids by Elena V. Yanchenko, Galina S. Volkova, Elena V. Kuksova, Ivan I. Virchenko, Aleksey V. Yanchenko, Elena M. Serba, Maria I. Ivanova

“…The present research objective was to test several cabbage hybrids for natural fermentation, microbiological parameters, and native sugar content after four months of storage. The study featured twelve new-generation white cabbage hybrids of Russian selection and sauerkraut foods. …”
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