Role of Aging in Ulcerative Colitis Pathogenesis: A Focus on ETS1 as a Promising Biomarker by Ni M, Peng W, Wang X, Li J

“…In this study, we explored the role of aging-related genes (ARGs) in UC pathogenesis and diagnosis prediction.Methods: Gene expression data were obtained from four independent datasets (GSE75214, GSE87466, GSE94648, and GSE169568) in the GEO database, and ARGs were derived from multiple public databases. …”
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The triglyceride–glucose index and its obesity-related derivatives as predictors of all-cause and cardiovascular mortality in hypertensive patients: insights from NHANES data with... by Chenyang Li, Zixi Zhang, Xiaoqin Luo, Yichao Xiao, Tao Tu, Chan Liu, Qiming Liu, Cancan Wang, Yongguo Dai, Zeying Zhang, Cheng Zheng, Jiafeng Lin

“…The incorporation of the TyG index or its derivatives into predictive models modestly improved the prediction performance for mortality outcomes. …”
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Neuroimaging predictors of malignant brain oedema after thrombectomy in ischemic stroke: a systematic review and meta-analysis by Linrui Huang, Xindi Song, Jingjing Li, Yanan Wang, Xing Hua, Meng Liu, Ming Liu, Simiao Wu

“…We included studies investigating neuroimaging predictors or prediction models for MBE after thrombectomy. We estimated effect size for the association between predictors and MBE by odds ratios (ORs) or standardized mean differences (SMDs), and pooled results using random-effects modelling.Results We included 19 studies (n = 6007) with 17 neuroimaging factors and 5 models. …”
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Rapid Detection of Hybrid Maize Parental Lines Using Stacking Ensemble Machine Learning by M. Aqil, M. Azrai, M. J. Mejaya, N. A. Subekti, F. Tabri, N. N. Andayani, Rahma Wati, S. Panikkai, S. Suwardi, Z. Bunyamin, E. Roy, M. Muslimin, M. Yasin, E. Prakasa

“…This indicates that the prediction errors were caused by highly similar data features among female and off-type images. …”
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High-resolution mapping of evapotranspiration over heterogeneous cropland affected by soil salinity by Meihan Liu, Huimin Lei, Xingwang Wang, Paula Paredes

“…These findings enable more accurate ET modeling and prediction in arid regions and provide valuable insights for water resource management, particularly irrigation scheduling, in areas affected by salt-induced stress. …”
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Alleviating small sample problem in continuous forest monitoring with remote sensing-assisted Copulas by Xinjie Cheng, Zhengyang Hou, Annika Kangas, Jean-Pierre Renaud, Hao Tang, Weisheng Zeng, Qing Xu

“…Four main conclusions are relevant: for both Burkina Faso (BF) and Genhe (GH) study area, (1) Copulas outperforms WLS in modeling and prediction, both in terms of mean values and maximum/minimum values; (2) Copulas consistently demonstrates superior performance and precision across varying sample sizes compared to the WLS with MA estimators; (3) a straightforward sample size optimization approach reveals that variance estimates of Copulas remain lower than those of WLS as the sample size decreases in monitoring surveys; (4) Copulas requires about 20% smaller sample size than WLS does when achieving a specified precision, suggesting enhanced efficiency. …”
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Unveiling Cuproptosis-Driven Molecular Clusters and Immune Dysregulation in Ankylosing Spondylitis by Wei B, Wang S, Li S, Gu Q, Yue Q, Tang Z, Zhang J, Liu W

“…The eXtreme Gradient Boosting (XGB) model showed the highest predictive accuracy, achieving an area under the receiver operating characteristic curve (AUC) of 0.725, and 5-gene prediction models were established. …”
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Efficacy and safety of dexamethasone or triamcinolone in combination with anti-vascular endothelial growth factor therapy for diabetic macular edema: A systematic review and meta-a... by Bo Zhou, Hua Liu, Feng Xiong

“…The assessment of heterogeneity was conducted via Cochran's Q test, I2 statistics, and the implementation of a 95% prediction interval (PI). All analyses were performed by R 4.3.1, Stata 12.0, and TSA v0.9.5.10 Beta software.…”
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Identification of Five m6A-Related lncRNA Genes as Prognostic Markers for Endometrial Cancer Based on TCGA Database by Li Shan, Ye Lu, Cheng-Cheng Xiang, Xiaoli Zhu, Er-Dong Zuo, Xu Cheng

“…Five major lncRNAs associated with m6A were screened out, and risk score modeling was used for UCEC prognosis prediction. High risk scores were associated with a shorter OS. …”
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Classification of Epileptic Seizures by Simple Machine Learning Techniques: Application to Animals’ Electroencephalography Signals by Illia Pidvalnyi, Anna Kostenko, Oleksandr Sudakov, Dmytro Isaev, Oleksandr Maximyuk, Oleg Krishtal, Olena Iegorova, Ievgen Kabin, Zoya Dyka, Steffen Ortmann, Peter Langendorfer

“…Detection and prediction of the onset of seizures are among the most challenging problems in epilepsy diagnostics and treatment. …”
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Discovery of robust and highly specific microbiome signatures of non-alcoholic fatty liver disease by Emmanouil Nychas, Andrea Marfil-Sánchez, Xiuqiang Chen, Mohammad Mirhakkak, Huating Li, Weiping Jia, Aimin Xu, Henrik Bjørn Nielsen, Max Nieuwdorp, Rohit Loomba, Yueqiong Ni, Gianni Panagiotou

“…We identified highly specific microbiome signatures through building accurate machine learning models (accuracy = 0.845–0.917) for NAFLD with high portability (generalizable) and low prediction rate (specific) when applied to other metabolic diseases, as well as through a community approach involving differential co-abundance ecological networks. …”
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A comparative machine learning study of schizophrenia biomarkers derived from functional connectivity by Victoria Shevchenko, R. Austin Benn, Robert Scholz, Wei Wei, Carla Pallavicini, Ulysse Klatzmann, Francesco Alberti, Theodore D. Satterthwaite, Demian Wassermann, Pierre-Louis Bazin, Daniel S. Margulies

“…Yet, the high dimensionality of predictive models trained on functional connectomes, combined with small sample sizes in clinical research, increases the risk of overfitting. …”
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The Impact of Amniotic Fluid Interleukin-6, Interleukin-8, and Metalloproteinase-9 on Preterm Labor: A Narrative Review by Theodoros Karampitsakos, Despoina Mavrogianni, Nikolaos Machairiotis, Anastasios Potiris, Periklis Panagopoulos, Sofoklis Stavros, Panos Antsaklis, Peter Drakakis

“…MMP-9 gene variations and protein levels showed significant predictive value for membrane rupture and labor onset. …”
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Oakland score to identify low-risk patients with lower gastrointestinal bleeding performs well among emergency department patients by Daniel D. DiLena, Sean C. Bouvet, Madeline J. Somers, Maqdooda A. Merchant, Theodore R. Levin, Adina S. Rauchwerger, Dana R. Sax

“…Abstract Background The Oakland Score predicts risk of 30-day adverse events among hospitalized patients with lower gastrointestinal bleeding (LGIB) possibly identifying patients who may be safe for discharge. …”
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A New Precursor Integral Method for Solving Space-Dependent Kinetic Equations in Neutronic and Thermal-Hydraulic Coupling System by Yingjie Wu, Baokun Liu, Han Zhang, Jiong Guo, Fu Li, Jinlin Niu, Yizhen Wang, Menglei Cui

“…The accurate prediction of the neutronic and thermal-hydraulic coupling system transient behavior is important in nuclear reactor safety analysis, where a large-scale nonlinear coupling system with strong stiffness should be solved efficiently. …”
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Contribution of dust emissions from farmland to particulate matter concentrations in North China Plain: Integration of WRF-Chem and WEPS model by Haopeng Zhang, Feng Wang, Shenghui Zhou, Tianning Zhang, Minghui Qi, Hongquan Song

“…This study integrated the Wind Erosion Prediction System (WEPS) model with the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) to investigate the effect of agricultural dust emissions on PM10 concentrations in the NCP. …”
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Spectrum-effect relationship of immunologic activity of Ganoderma lucidum by UPLC-MS/MS and component knock-out method by Changqin Li, Yiping Cui, Jie Lu, Lijun Meng, Changyang Ma, Zhenhua Liu, Yan Zhang, Wenyi Kang

“…HPLC fingerprint and spectrum-effect relationship of G. lucidum were established to predict the active compounds and BP neural network model was established to predict the efficacy. …”
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Comprehensive Assessment of the Risk of Symptomatic Embolism in Patients With Infective Endocarditis by Sebastian D. Santos‐Patarroyo, Juan A. Quintero‐Martinez, Brian D. Lahr, Supavit Chesdachai, Daniel C. DeSimone, Hector R. Villarraga, Hector I. Michelena, Larry M. Baddour

“…A nomogram that incorporated these factors was constructed to facilitate the prediction of embolic risk. Conclusions Highly mobile, larger vegetations are associated with embolic events. …”
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Aerodynamic energy consumption analysis of divided evacuated tube transportation system by Ziwei Zhang, Yingxue Wang, Guanqing Wang, Feilong Li, Dengke Wang, Jianjun Luo

“…By figuring out the spatiotemporal variation of tube gas, the theoretical energy estimation scheme for aerodynamic energy consumption with various cases was put forward, then the rationality and accuracy of which was verified by numerical simulation with prediction error less than 8%. The saving ratio of aerodynamic drag energy consumption of a 10 km tube could be 39.9% compared to traditional tunnels, which will be higher under ultra-long mileage, thus realising the overall aerodynamic energy saving effect. …”
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The causal relationship of cigarette smoking to metabolic disease risk and the possible mediating role of gut microbiota by Jingda Zhang, Lin Hou, Shanxiang Lei, Yan Li, Guogang Xu

“…Furthermore, to mitigate the impact of confounding factors, adjusted models were conducted via the multivariate Mendelian randomization (MVMR) method, aiming to improve the accuracy of prediction. Ultimately, the study evaluated the effect of the intermediary factor, gut microbiome, on the relationship between cigarette smoke and metabolic diseases. …”
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