Stroke Risk Classification Using the Ensemble Learning Method of XGBoost and Random Forest by Gullam Almuzadid, Egia Rosi Subhiyakto

“…The SMOTE-ENN approach was applied to handle class imbalance, resulting in a more balanced sample distribution. The dataset was split into 80% training and 20% testing data (hold-out test) to ensure objective evaluation. …”
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Standardized droplet preamplification method for downstream circulating cell-free DNA analysis by Colin Skeen, Erica D. Pratt

“…There is also no standardized method for efficient amplicon recovery from droplets. …”
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An An accurate molecular method to sex elephants using PCR amplification of Amelogenin gene by George Lohay

“…The method is fast and shows more success than the SRY system by avoiding the inherent ambiguities of the previous PCR-based methods that made it difficult to distinguish between female samples and failed amplification reactions. …”
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A review of Web information seeking research: considerations of method and foci of interest by Konstantina Martzoukou

“…</b> This review shows that Web information seeking research suffers from inconsistencies in method and a lack of homogeneity in research foci. …”
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VAE-WACGAN: An Improved Data Augmentation Method Based on VAEGAN for Intrusion Detection by Wuxin Tian, Yanping Shen, Na Guo, Jing Yuan, Yanqing Yang

“…These enhancements significantly improve both the quality of generated samples and the stability of the training process. …”
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Game-like situations training method and endurance impact on volleyball player performance by Nova Risma, Umar Umar, Syahrial Bakhtiar, Yovhandra Ockta

“…The results showed that the game-like situations training method was more effective than endurance training in improving volleyball skills, particularly for players with high skill levels. …”
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Genomic selection optimization in blueberry: Data‐driven methods for marker and training population design by Paul Adunola, Luis Felipe V. Ferrão, Juliana Benevenuto, Camila F. Azevedo, Patricio R. Munoz

“…Our contribution in this study is threefold: (i) for the genotyping resource allocation, the use of genetic data‐driven methods to select an optimal set of markers slightly improved prediction results for all the traits; (ii) for the long‐term implication, we carried out a simulation study and emphasized that data‐driven method results in a slight improvement in genetic gain over 30 cycles than random marker sampling; and (iii) for the phenotyping resource allocation, we compared different optimization algorithms to select training population, showing that it can be leveraged to increase predictive performances. …”
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AN APPRAISAL OF TRADITIONAL INCUBATION AND HATCHING METHODS OF INDIGENOUS POULTRY EGGS IN KWARA STATE, NIGERIA by Bababunmi Alaba AJAYI, Abiodun Oladayo AJALA, Abiodun Rukayat ADEYEMO

“…This study was conducted to assess traditional incubation and hatching methods of indigenous poultry eggs, and the level of knowledge of poultry farmers in Kwara State of Nigeria. …”
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A spatial bearing fault classification method based on improved APSMOTE-WKMFA by CHEN Chao, YANG Chenhao, XU Haosen, WAN Ouying, HAN Liling

“…Aiming at the problem of poor classification performance of a model for a few classes of fault samples in the case of category imbalance, the spatial bearing fault classification method based on an improved affinity propagation synthetic minority oversampling technique-wavelet kernel marginal Fisher analysis （APSMOTE-WKMFA） was proposed.MethodsFirstly, the geodesic distance was used as the similarity metric for the affinity propagation algorithm, and the synthetic minority oversampling technique （SMOTE） was used to generate samples in the filtered subclusters up to the class balance. …”
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Kriging-Based Variable Screening Method for Aircraft Optimization Problems with Expensive Functions by Yadong Wang, Xinyao Duan, Jiang Wang, Jin Guo, Minglei Han

“…As a result, it is desirable to use fewer samples to determine the influential inputs to achieve a simple, more efficient optimization process. …”
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Analysis of Method Performance for Quantitative Assessment of Listeria monocytogenes in Queso Fresco Cheese by Neha Singh, Ravinder Reddy, Karina Hettwer, Kirstin Frost, Matthew Kmet, Steffen Uhlig

“…Although individually inoculated, the samples were considered replicates based on the standard deviation values obtained from the Q/Hampel method. …”
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HCLC-FC: A novel statistical method for phenome-wide association studies. by Xiaoyu Liang, Xuewei Cao, Qiuying Sha, Shuanglin Zhang

“…We also apply the proposed approach to a set of EMR-based phenotypes across more than 300,000 samples from the UK Biobank. We find that the proposed approach not only can well-control FDR at a nominal level but also successfully identify 1,244 significant SNPs that are reported to be associated with some phenotypes in the GWAS catalog. …”
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An Information-Theoretic Method for Identifying Effective Treatments and Policies at the Beginning of a Pandemic by Amos Golan, Tinatin Mumladze, Jeffery M. Perloff, Danielle Wilson

“…Later experiments and statistical analyses based on more recent, richer data confirm that these factors contribute to survival. …”
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Deep learning-based ranking method for subgroup and predictive biomarker identification in patients by Zihuan Liu, Yihua Gu, Xin Huang

“…We evaluate its performance using simulated datasets that vary in complexity, treatment effect strength, and sample size. We also apply the method to the adalimumab (Humira, AbbVie) hidradenitis suppurativa (HS) clinical trial data, analyzing patient characteristics and treatment outcomes. …”
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Experimental and discrete element method study on the mechanical properties of hole-fracture sandstone by Peijie Lou, Peijie Lou, Peijie Lou, Peijie Lou, Lichen Sun, Cheng Pan, Penghui Ji, Huan Liu

“…To explore the interaction between holes and fractures in defective white sandstone, uniaxial compression tests were conducted on samples with varying horizontal distances between holes and fractures. …”
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Two-step method for predicting Young's modulus of nanocomposites containing nanodiamond particles by Hadi Nematollahi, Mohsen Mohammadi, Muhammad Tajammal Munir, Yasser Zare, Kyong Yop Rhee

“…The results obtained using the proposed method agreed well the experimental data of various nanocomposite samples. …”
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A method based on clustering fast search for bearing performance degradation assessment by ShengWen Zhou, Li Zhang, Xiaoming Yang, Fan Xu, BaiGang Du, RuiPing Luo, Wenhui Zeng

“…The results show that CFS outperforms other clustering methods and models, including root mean square, kurtosis, Shannon entropy, approximate entropy, and permutation entropy, detecting early-stage degradation more precisely.…”
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Assessing point load strength in irregular phyllite via an equivalent area method. by Hong Zhang, Yong Cao, Qiang Luo, Wei Qi

“…Through extensive testing on phyllite, we demonstrate that this method provides more stable estimates of point load strength and offers practical guidelines for specimen selection, making it highly relevant for geotechnical applications in weak-rock environments.…”
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The proteome of circulating extracellular vesicles and their functional effect on platelets vary with the isolation method by Eva M. Fernández-Sáez, Susana B. Bravo, Carmen Pena, Ángel García

“…The latter suggests that EVs obtained by SEC seem more suitable for platelet-related functional studies compared to those obtained by UC. …”
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A simple interpolation-based data augmentation method for implicit sentiment identification by Yuxia Zhao, Mahpirat Mamat, Alimjan Aysa, Kurban Ubul

“…Our approach consists of first generating multiple augmentation samples from the raw data through a series of underlying augmentation techniques and blending these augmentation samples. …”
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