Snow effects on brash ice and level ice growth by Vasiola Zhaka, Robert Bridges, Kaj Riska, Jonny Nilimaa, Andrzej Cwirzen

“…In the third, wider and more frequently navigated channel, a 1.2% brash ice expelling coefficient predicted well the measured brash ice thicknesses.…”
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A temporal knowledge graph reasoning model based on recurrent encoding and contrastive learning by Weitong Liu, Khairunnisa Hasikin, Anis Salwa Mohd Khairuddin, Meizhen Liu, Xuechen Zhao

“…In the domain of temporal knowledge graph extrapolation reasoning, the prediction of future occurrences is of great significance and presents considerable obstacles. …”
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Statistical Timing Analysis for Subthreshold Circuit Based on Bayesian Inference by Donglin Liu, Yuping Wu, Zhiqiang Li, Xuelian Zhang, Xi Tian

“…Accurately predicting the delay distribution of subthreshold circuits is crucial for verifying the timing closure of digital circuits and estimating parameter yields. …”
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Hypoxia and lipid metabolism related genes drive proliferation migration and immune infiltration mechanisms in colorectal cancer subtyping by Shansong Huang, Huiying Wang, Jiaqing Cao, Qiang Pang

“…A risk scoring model utilizing seven prognostically significant HLPGs was created and its predictive performance was assessed through survival analysis and ROC curves. …”
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Improved Continuous Wavelet Transform for Modal Parameter Identification of Long-Span Bridges by Mingjin Zhang, Xu Huang, Yongle Li, Hao Sun, Jingyu Zhang, Bin Huang

“…Aiming at endpoint effect in wavelet transform, a prediction continuation method based on support vector machine (SVM) was proposed, which can effectively suppress the endpoint effect of the extended samples. …”
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Interpretable Classifier Models for Decision Support Using High Utility Gain Patterns by Srikumar Krishnamoorthy

“…Ensemble models such as gradient boosting and random forests are proven to offer the best predictive performance on a wide variety of supervised learning problems. …”
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Application of the age-period-cohort model in tuberculosis by Dan Luo, Fengying Wang, Songhua Chen, Yu Zhang, Wei Wang, Qian Wu, Yuxiao Ling, Yiqing Zhou, Yang Li, Kui Liu, Bin Chen

“…This study will help to provides a theoretical basis and reference for using the APC model in TB analysis and prediction.…”
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Effect of magnetized water on the fundamental grouting properties of cement grout under varying magnetization conditions by Chao Deng, Liuxi Li, Huanxiao Hu, Zhichao Xu, Yi Zhou, Quan Yin, Juan Chen

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Investigation of groundwater quality indices and health risk assessment of water resources of Jiroft city, Iran, by machine learning algorithms by Sobhan Maleky, Maryam Faraji, Majid Hashemi, Akbar Esfandyari

“…The random forest model with the highest accuracy (R 2 = 0.986) was the best prediction model, while logistic regression (R 2 = 0.98), decision tree (R 2 = 0.979), K-nearest neighbor (R 2 = 0.968), artificial neural network (R 2 = 0.955), and support vector machine (R 2 = 0.928) predicted GWQI with lower accuracy. …”
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Combination ATR-FTIR with Multiple Classification Algorithms for Authentication of the Four Medicinal Plants from <i>Curcuma</i> L. in Rhizomes and Tuberous Roots by Qiuyi Wen, Wenlong Wei, Yun Li, Dan Chen, Jianqing Zhang, Zhenwei Li, De-an Guo

“…The results showed that support vector machine (SVM) modeling was superior to other models and the accuracy of validation and prediction was preferable, with a modeling time of 127.76 s. …”
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Multivariate stochastic modeling for transcriptional dynamics with cell-specific latent time using SDEvelo by Xu Liao, Lican Kang, Yihao Peng, Xiaoran Chai, Peng Xie, Chengqi Lin, Hongkai Ji, Yuling Jiao, Jin Liu

“…Abstract Recently, RNA velocity has driven a paradigmatic change in single-cell RNA sequencing (scRNA-seq) studies, allowing the reconstruction and prediction of directed trajectories in cell differentiation and state transitions. …”
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ML-AMPSIT: Machine Learning-based Automated Multi-method Parameter Sensitivity and Importance analysis Tool by D. Di Santo, C. He, F. Chen, L. Giovannini

“…These regression algorithms are used to construct computationally inexpensive surrogate models to effectively predict the impact of input parameter variations on model output, thereby significantly reducing the computational burden of running high-fidelity models for sensitivity analysis. …”
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Effect of dynamic coupling in an inferior olive neuron model and synchronization by M. R. Tchuisseuh, P. Guemkam Ghomsi, A. C. Chamgoué, F. M. Moukam Kakmeni

“…The dynamical behavior of the new model is analyzed analytically using limit cycle prediction and numerically via the two-dimensional bifurcation diagrams with respect to two essential bifurcation parameters of the model. …”
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IUGR Management: New Perspectives by N. Giuliano, M. L. Annunziata, S. Tagliaferri, F. G. Esposito, O. C. M. Imperato, M. Campanile, M. G. Signorini, A. Di Lieto

“…The present study emphasizes the need for an antenatal testing in IUGR fetuses using multiple surveillance modalities to enhance prediction of neonatal outcome.…”
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Patients Hospitalized in General Wards via the Emergency Department: Early Identification of Predisposing Factors for Death or Unexpected Intensive Care Unit Admission—A Historical... by Thierry Boulain, Isabelle Runge, Nathalie Delorme, Angèle Bouju, Antoine Valéry

“…A logistic model for hospital mortality prediction (death of all causes) still comprised oxygen administration on the ED, unknown current medications, and the use of psychoactive drug(s) as risk factors. …”
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Understanding empathy and theory of mind in Romanian dental students for improved educational strategies by Ancuta Mioara Banu, Sorin Ursoniu, Smaranda Laura Gotia, Salomeia Putnoky, Costela Lacrimioara Serban

“…Logistic regression was used for the prediction of the highest tertile of empathy. The findings revealed that 73.3% of students had higher-than-average levels of empathy. …”
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NOP2/Sun RNA Methyltransferase 4 Regulates the Mammalian Target of Rapamycin Signaling Pathway to Promote Hepatocellular Carcinoma Progression by Congren Wang, Shaoying Ke, Shaoze Lin, Conglin Lin, Zhibing Cai, Lingju Hong, Qunxiong Pan

“…Conclusion: The study explained the mechanism and influence of NSUN4 on HCC progression by regulating the mTOR signaling pathway through in vitro and in vivo experiments, providing the theoretical basis and a new research direction for clinical prognostic prediction and treatment.…”
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Astrology as Sacred Ecological Knowledge in the Tibetan Buddhist Tradition by Yulia Yu. Erendzhenova

“…In the Tibetan Buddhist tradition, sacred astrological knowledge is widely popular both in cult practices and non-religious activities. Astrologers draw prediction and natal charts, calculate favorable periods for rituals, healing practices, harvesting, weddings, funerals, etc. …”
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How NaCl addition destabilizes ionic liquid micellar suspension until phase separation by Dufrêche, Jean-François, Plazanet, Marie, Meyer, Gautier, Billard, Isabelle

“…Considering the effective charge of the micelles with respect to the ionic strength of the solution, it moreover provides a key element in the prediction of phase separation.…”
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Factors associated with pulmonary complications after hepatectomy and establishment of nomogram: A real-world retrospective study by Kunyu Han, Hui Liu, Ruiping Bai, Jiarui Li, Linjuan Zhang, Rui An, Di Peng, Jiamin Zhao, Mengwen Xue, Xin Shen

“…Our nomogram model can predict the probability of PPCs after hepatectomy.…”
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