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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

VAE-WACGAN: An Improved Data Augmentation Method Based on VAEGAN for Intrusion Detection by Wuxin Tian, Yanping Shen, Na Guo, Jing Yuan, Yanqing Yang

“…The results demonstrate that the VAE-WACGAN method effectively enhances the performance metrics of the intrusion detection model. …”
Get full text

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. …”
Get full text

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. …”
Get full text

Kriging-Based Variable Screening Method for Aircraft Optimization Problems with Expensive Functions by Yadong Wang, Xinyao Duan, Jiang Wang, Jin Guo, Minglei Han

“…According to the results, the Kriging-based variable screening method could select all the active inputs with a few samples. …”
Get full text

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

“…Statistical analysis was conducted to analyze test sample preparation and evaluate the performance of the quantitative method by utilizing participant’s data. …”
Get full text

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. …”
Get full text

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

“…Overall, the proposed information-theoretic statistical technique is a robust method that can overcome the challenges of under-identified estimation problems in the early stages of medical emergencies. …”
Get full text

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. …”
Get full text

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

“…The technique known as Digital Image Correlation (DIC) was employed to analyze the deformation patterns, while CT scanning technology was implemented to elucidate the interior crack propagation features. Discrete Element Method (DEM) simulations were performed to investigate the micro-scale fracture evolution. …”
Get full text

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. …”
Get full text

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.…”
Get full text

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.…”
Get full text

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

“…In this study, we aimed to characterize plasma-derived EVs isolated by ultracentrifugation (UC) or size exclusion chromatography (SEC) to define the best method for proteomic and functional studies. EVs characterization included nanoparticle tracking analysis (NTA), transmission electron microscopy (TEM), detection of biomarkers by western blotting, and quantitative proteomic analysis. …”
Get full text

A simple interpolation-based data augmentation method for implicit sentiment identification by Yuxia Zhao, Mahpirat Mamat, Alimjan Aysa, Kurban Ubul

“…The method performs interpolation operations in hidden space without label mixing, which effectively alleviates the data scarcity problem. …”
Get full text

Express method for assessing proteolysis in cheese and aromatic addi- tives with cheese flavor by D. S. Myagkonosov, D. V. Abramov, E. G. Ovchinnikova, V. N. Krayushkina

“…The results of assessing the degree of proteolysis by the OPA method (OD340) are proportional to both the total content of soluble nitrogen and the proportion of nitrogenous substances in it with a mass of less than 0.5 kDa, which make the greatest contribution to the formation of cheese flavor.The advantage of using the OPA method for assessing proteolysis in cheeses and EMC instead of the Kjeldahl method is a simpler measurement procedure and the possibility of studying more samples in less time.…”
Get full text

Research on identification method of bituminous coal based on terahertz time-domain spectroscopy by Shuguang Miao, Shuguang Miao, Xiang Liu, Xiang Liu, Yue Zhang, Yue Zhang, SuWen Li, SuWen Li, Enjie Ding, Enjie Ding

“…The traditional coal type identification method needs to measure a variety of parameters of coal samples to obtain more accurate results, and the detection process is time-consuming and laborious, and can not realize the rapid identification of coal types. …”
Get full text