The Impact of the SMOTE Method on Machine Learning and Ensemble Learning Performance Results in Addressing Class Imbalance in Data Used for Predicting Total Testosterone Deficiency... by Mehmet Kivrak, Ugur Avci, Hakki Uzun, Cuneyt Ardic

“…In the data preprocessing stage, firstly, outlier/excessive observation analyses were performed with LOF and missing value analyses were performed with random forest. The SMOTE is a method for generating synthetic samples of the minority class. …”
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A mixed-methods nutrition, water, sanitation and hygiene knowledge, attitudes, and practices survey of IDPs, returnees, and host community members in four counties of Jonglei state... by Lynn Lieberman Lawry, Rachel Gabor, Jacques Katele, Lazarus Baak Madut, Katina Sommers, David Manuel, Claire Nadolski, Mounir Lado, Tracey Perez Koehlmoos, William Clemmer

“…Prior data is unlikely to reflect the current health situation of Jonglei state given the influx of internally displaced persons (IDPs) and returnees. Methods We conducted a cross-sectional, randomly sampled, mixed-methods, population-based household study during a 4-week period in June-July 2023 in ten bomas in four counties of Jonglei, South Sudan. …”
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Combined Feature Selection Scheme for Banking Modeling by S. V. Afanasyev, D. M. Kotereva, A. A. Mironenkov, A. A. Smirnova

“…Wrappers and embedded methods are more effective in feature selection, because they account for multi-dimensional relationships, but these methods are resource-consuming and may fail to process large samples with many features. …”
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Feasibility assessment on the independent selection of dialysis methods in ESRD patient after 3-month blood purification:A blood purification center observation study in the Xinjia... by ZHUANG Jing, Reziwanguli Abudula, JIANG-Hong

“…Objective To investigate mastering of the patients with SRD(ESRD)with dialysis treatment of over 3 months about knowledge and advantages or shortcomings of the two dialysis therapies in our dialysis center, and evaluate the intention and feasibility of their independent selection of dialysis methods.Methods With convenient sampling,146 patients with ESRD,who started to conduct regular peritoneal dialysis in People’s Hospital of Xinjiang Uyghur Autonomous Region between January 2016 to December 2017,were selected and divided into the hemodialysis group(HD group,85 patients)and the peritoneal dialysis group(PD group,61 patients)according to their dialysis methods.A retrospect survey questionnaire was made to learn about demographic data,influencing factors of selection of the two dialysis modes and urine decrease during dialysis,and to analyze the intention and feasibility of the patients’ new selection of long-term dialysis.Results The HD patients most selected this dialysis mode(92.94%)mainly according to their physician’s introduction before dialysis,while the PD patients who independently selected PD had a big proportion(55.74%).There was statistically significant difference between the two groups(P<0.05).After three months of dialysis,over 70% of the patients learned about the knowledge and features of the two dialysis modes,but 90.59% patients in the HD group did not yet master the PD knowledge,with statistically significant difference between the two groups(P<0.05).The emergent dialysis records in the HD group were more than those in the PD group(P<0.05).24-hour urine volume before dialysis had no difference between the two groups,after 3 months of treatment the proportion of patients with decrease urine volume in the HD group was higher than that in the PD group(P<0.05).With 3 months of treatment and education,there were 41.18 and 19.67% patients in the HD and PD groups,respectively,who were willing to adjust their dialysis method.Conclusions Lack of sufficient knowledge about dialysis is the main factor affecting ESRD patient`s independent selection of dialysis methods.besides that,more experience of emergent dialysis also plays a vital role in their selection.Both 3-month experience of dialysis and the changes of urine volume in the course of different dialysis therapies contribute to accumulation of the knowledge and the practice of two dialysis methods.This makes it possible for ESRD patients to have the ability to select dialysis mode independently,and make them select suitable dialysis method based on their own specific conditions.…”
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Identifying and Prioritizing the Opportunities and Challenges of Artificial Intelligence in Knowledge Management Based on the Hicks' Model Using the Gray Relationship Analysis Meth... by Jalal Rezaeenour, Bent-ol hoda khabbazan

“…The experts of this study are 15 experts in artificial intelligence, computer and knowledge management. The research sampling method is judgmental and the samples were selected based on expertise and the research criteria were extracted from the review of internal and external studies in the field of artificial intelligence and knowledge management. …”
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Cancer prevalence and its determinants in Hungary: Analyzing data from the 2009, 2014, and 2019 European Health Interview Surveys. by Amr Sayed Ghanem, Eszter Vargáné Faludi, Róbert Bata, Emese Mezei, Vanessza Hadar, Marianna Móré, Ágnes Tóth, Attila Csaba Nagy

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STUDENTS’ PERSPECTIVES ON THE IMPACT OF ARTIFICIAL INTELLIGENCE IN LEARNING BUSINESS ENGLISH by Cristina Laura ABRUDAN

“…It is based on mixed-methods research including a systematic literature review and semi-structured interviews, in the qualitative phase, as an instrument for data collection, aiming to find out the students’ perspective towards the use of modern technology-based methods in comparison with traditional methods of learning/teaching Business English. …”
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Metagenomic next-generation sequencing of alveolar lavage fluid improves the detection of pulmonary infection by Meng Ziyu, Li Dong, Yang Wei, Tang Jihong

“…Bronchoalveolar lavage fluid samples were collected for pathogen detection. Mycobacterium tuberculosis was predominantly detected via general mNGS, whereas Candida albicans and Epstein-Barr virus were more frequently identified by PACE and Q, respectively. …”
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Contact potential difference of alloy steel after heat treatment by L. P. Aref`eva, A. G. Sukiyazov, Yu. V. Dolgachev, L. S. Shakhova

“…The chemical composition of the samples was refined through the optical emission analysis method. …”
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A Discrete‐Element‐Based Pore‐Scale Hydromechanical Approach to Investigate the Hysteresis Effect on the Unsaturated At‐Rest Earth Pressure Coefficient by Hossein Ansari, Ghassem Habibagahi, Ehsan Nikooee

“…The results indicate that the earth pressure coefficient is highly dependent on the hydraulic path as well as the drying–wetting cycles, where a considerable reduction in the degree of hysteresis in K0 was observed during the second cycle of drying–wetting and this reduction is more prominent in the samples of lower density.…”
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Evaluating the Quality of an ELT Program in Higher Education by Özlem Grab Melissa

“…For both quantitative and qualitative research methods, the sample size targeted 120 students, 10 faculty members, and 5 external stakeholders. …”
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Diagnosis Anthracnose of Chili Pepper Using Convolutional Neural Networks Based Deep Learning Models by Hae-In Kim, Ju-Yeon Yoon, Ho-Jong Ju

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Facial shapes in Frankfurt Horizontal and natural head positions: a methodological study by Anna A. Mezentseva, Victoria V. Rostovtseva, Anna V. Komarova, Anna A. Korotkova, Nadezhda B. Dashieva, Marina, L. Butovskaya

“…Despite the larger facial sexual dimorphism in the Buryat group, sex differences were more pronounced in FH across both samples. Correlations between facial shape and body metrics (height, Body Mass Index, and body fat mass) were stronger in FH. …”
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Optimisation of combined acid and enzymatic hydrolysis of paddy straw to produce fermentable hydrolysate by Prabhat K. Guru, Mayuri Gupta, Anshika Rani, Parmanand Sahu, Pushpraj Diwan, Ghanshyam Pawar, Sandip Gangil

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Prediction of dam deformation using adaptive noise CEEMDAN and BiGRU time series modeling by WANG Zixuan, OU Bin, CHEN Dehui, YANG Shiyong, ZHAO Dingzhu, FU Shuyan

“…To address the challenges posed by system noise and strong nonlinear effects in dam deformation, this paper proposes a dam deformation monitoring model based on multi-layer integrated signal processing technology.【Method】The model uses sample entropy reconstruction and the K-means clustering algorithm to optimize the adaptive noise complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) process, generating multiple intrinsic mode functions (IMF). …”
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Modeling triaxial tests on alluvial sand and analyzing soil's shear strength parameters with DEM by Michelle Dias Santos, Alex Alves Bandeira, Sandro Lemos Machado

“…Abstract The discrete element method (DEM) has proved to be a valuable tool in understanding the mechanisms of soil friction mobilization and compressibility, Many problems, such as particle breakage and erosion, can be better understood using DEM. …”
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Conditional distributionally robust dispatch for integrated transmission-distribution systems via distributed optimization by Jie Li, Xiuli Wang, Zhicheng Wang, Zhenzi Song

“…Approaches that disregard the structural information of the true distribution often lead to overly conservative solutions and exhibit poor out-of-sample performance. This paper closes this gap by proposing a conditional distributionally robust optimization (DRO) method for ITDSs. …”
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Predicting soil organic matter using corrected field spectra and stacking ensemble learning by Yu Wang, Xuhui Yan, Rongyanting Huo, Longcai Zhao, Jie Peng, Yongsheng Hong, Jing Liu

“…Visible near-infrared (Vis-NIR) spectroscopy technology is a rapid and highly accurate SOM quantification method. While the laboratory spectra measurement requires a series of processing procedures. …”
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Research on wheelchair form design based on Kansei engineering and GWO-BP neural network by Weilin Cai, Zhengyu Wang, Yi Wang, Meiyu Zhou

“…Meanwhile, the morphological analysis method is used to construct a sample library of product morphological elements. …”
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Enhancement of NMP Degradation Under UV Light by Nitrogen-Doped TiO2 Thin Films Using a Design of Experiment by F. Arefi-Khonsari, F. Meshkini, R. Jafari, H. Mortaheb, J. Pulpytel, W. Smith, H. Fakhouri, A. Zolfaghari

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