The validity of serum autotaxin as a predictor of hepatic fibrosis in patients with nonalcoholic fatty liver disease by Muhammad Abdel-Gawad, Hamdiy Mahfouz, Mona Abdelmeguid, Gehad M.A.-A. Hassan, Marwa Khalaf, Hani S. Aboalam

“…Conclusion ATX showed poor validity in the prediction of hepatic fibrosis in cases with NAFLD disease, there was a statistically significant increase prevalence of hypertension among females compared with males, an important change was found among males and females regarding NAFLD fibrosis-score, and grade of fibrosis by fibro-scan.…”
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A new dimensionality reduction technique based on the Wavelet Transform for cancer classification by Lisardo Fernández, Mariano Pérez, Juan M. Orduña, José M. Alcaraz

“…Although the advent of methylation microarrays such as the HumanMethylation450 platform has greatly reduced the dimensionality of the problem from billions to 450K positions, this data size is still too large to be processed by machine learning algorithms for cancer prediction and classification. Aim In the particular case of methylation, an efficient dimensionality reduction technique should also preserve the spatial information of the original data in order to properly predict and classify cancer. …”
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GIS based flood susceptibility mapping in the Keleghai river basin, India: a comparative assessment of bivariate statistical models by Kabirul Islam

“…The success rates are 0.828, 0.844 and 0.829, whereas prediction rate are 0.816, 0.815 and 0.811 for the models of Frequency Ratio, Shannon Entropy and Information Value respectively. …”
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Evaluation of Three Satellite Precipitation Products TRMM 3B42, CMORPH, and PERSIANN over a Subtropical Watershed in China by Junzhi Liu, Zheng Duan, Jingchao Jiang, A-Xing Zhu

“…This study conducted a comprehensive evaluation of three satellite precipitation products (TRMM (Tropical Rainfall Measuring Mission) 3B42, CMORPH (the Climate Prediction Center (CPC) Morphing algorithm), and PERSIANN (Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks)) using data from 52 rain gauge stations over the Meichuan watershed, which is a representative watershed of the Poyang Lake Basin in China. …”
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WearMoCap: multimodal pose tracking for ubiquitous robot control using a smartwatch by Fabian C. Weigend, Neelesh Kumar, Oya Aran, Heni Ben Amor

“…Our Upper Arm mode provides the most accurate wrist position estimates with a Root Mean Squared prediction error of 6.79 cm. To evaluate WearMoCap in more scenarios and investigate strategies to mitigate sensor drift, we publish the WearMoCap system with thorough documentation as open source. …”
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An Ensemble Based Machine Learning Classification for Automated Glaucoma Detection by Digvijay J. Pawar, Yuvraj K. Kanse, Suhas S. Patil

“…The proposed Combined Features Fused Classifier (CF2C) model has had a remarkable performance with the IEEE DataPort image dataset, achieving an ensembled prediction accuracy of 96.25 %, a sensitivity of 95.83 % and a specificity of 96.67 % which are better results than those of the five classifiers individually.…”
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Layer Information Similarity Concerned Network Embedding by Ruili Lu, Pengfei Jiao, Yinghui Wang, Huaming Wu, Xue Chen

“…To evaluate our proposed model, we conduct node classification and link prediction tasks to verify the effectiveness of our model, and the results show that LISCNE can achieve better or comparable performance compared to existing baseline methods.…”
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An Efficient Text-Mining Framework of Automatic Essay Grading Using Discourse Macrostructural and Statistical Lexical Features by Husam M. Alawadh, Talha Meraj, Lama Aldosari, Hafiz Tayyab Rauf

“…Three different experiments based upon the combination of these features are conducted, the most effective combination of features remains as statistical lexical features and discourse macrostructural features whereas the Linear Regression method is used for score prediction. The average Quadratic Weighted Kappa (QWK) score of 0.9339 was achieved and outperformed previous solutions in terms of time, computation, and performance.…”
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Lactiplantibacillus plantarum improves the growth performance and meat quality of broilers by regulating the cecal microbiota and metabolites by Yu Liu, Zhisheng Wang, Wenshuo Xi, Junmeng Yuan, Kai Zhang, Huawei Liu, Jinshan Zhao, Yang Wang

“…Moreover, the abundances of gut microbiota, such as Synergistaceae and Synergistes were influenced by the Lp treatments. Functional prediction of the gut microbiota indicated that pathways, including pancreatic secretion and spliceosome were enriched by the Lp treatments. …”
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Determination of Cefoperazone Sodium in Presence of Related Impurities by Linear Support Vector Regression and Partial Least Squares Chemometric Models by Ibrahim A. Naguib, Eglal A. Abdelaleem, Hala E. Zaazaa, Essraa A. Hussein

“…SVR offers more accurate results with lower prediction error compared to PLSR model; however, PLSR is easy to handle and fast to optimize.…”
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Monitoring and Analysis of Circumferential Pressure for Long‐Distance Pipe Jacking Construction in Composite Strata by Yunfei Zhao, Feilun Luo, Liang Xiong

“…The above results are consistent with the theoretical prediction and can provide reference for the actual project. …”
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Grape Target Detection Method in Orchard Environment Based on Improved YOLOv7 by Fuchun Sun, Qiurong Lv, Yuechao Bian, Renwei He, Dong Lv, Leina Gao, Haorong Wu, Xiaoxiao Li

“…Finally, the Focal-EIoU loss function is employed to optimize the regression prediction boxes, accelerating their convergence and improving regression accuracy. …”
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Application of the Bayesian Model Averaging in Analyzing Freeway Traffic Incident Clearance Time for Emergency Management by Yajie Zou, Bo Lin, Xiaoxue Yang, Lingtao Wu, Malik Muneeb Abid, Jinjun Tang

“…In addition, the BMA approach can provide better prediction performance than the Cox proportional hazards model and the accelerated failure time models. …”
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Biodiversity characteristics of large forest plots in Qinghai area of Qilian Mountain National Park by WANG Dinghui, SUONAN Cairang, YU Hongyan, DU Yangong

“…This indicated that the model had a high explanatory power and prediction accuracy for the Shannon-Wiener data. [Conclusion] The species diversity of the Qinghai spruce forest is relatively low and is significantly influenced by tree height, species richness, and the Simpson index. …”
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Comparative Assessment of Modified γ-Reθt Models for Scramjet Intake Flow Analysis by Sunoh Kang, Ho Cheol Shin, Soo Hyung Park, Jaeyoung Park, Donghun Park

“…The air intake performance of the SCP-01, as predicted by four models, is compared and analyzed at different flight altitude and Mach number conditions. …”
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PHILOSOPHY OF WAR AND PEACE: IN SEARCH OF NEW EUROPEAN SECURITY STRATEGY by O. O. Bazaluk, D. B. Svyrydenko

“…The third objective should include the complex measures of prediction and solution of international (interstate) conflicts. …”
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Stimulated Reservoir Volume Characterization and Optimum Lateral Well Spacing Study of Two-Well Pad: Midland Basin Case Study by Jaeyoung Park, Candra Janova

“…The study includes building geologic model, history matching, well performance prediction, and finding optimum lateral well spacing in terms of oil volume and economic metrics. …”
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Optimization of Depth Map Intra Coding Algorithms Based on Machine Learning by Wenjun Song, Jiaying Yang, Qiuwen Zhang

“…Through this two-stage prediction mechanism, we effectively bypass CU partitioning types with low probability, significantly reducing the coding complexity. …”
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Numerical optimization by the PFEMCT-SIF method of the crack propagation of a linear elastic material by Mohammed Bentahar, Noureddine Mahmoudi, Youcef Moulai Arbi

“…Conclusions: The PFEMCT-SIF method effectively evaluates SIFs and predicts crack propagation paths. A 10-contour crack tip model balances accuracy and computational efficiency. …”
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Exploring Students Online Learning Behavioral Engagement in University: Factors, Academic Performance and Their Relationship by Yonghong Wang, Mingzhang Zuo, Xiangchun He, Zhifeng Wang

“…Then, data from 63 students using the “Ketangpai” online learning platform were collected and analyzed to explore the correlation and predictive relationships between online learning behavior indicators and academic achievements. …”
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