Mediastinal Lymph Node Metastases in Thyroid Cancer: Characteristics, Predictive Factors, and Prognosis by Ting-ting Zhang, Ning Qu, Jia-qian Hu, Rong-liang Shi, Duo Wen, Guo-hua Sun, Qing-hai Ji

“…The aim of this study is to investigate the characteristics, predictive factors, and prognosis of MLNM in thyroid cancer. …”
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Individual mobility prediction by considering current traveling features and historical activity chain by Xiaotong Zhang, Zhipeng Gui, Yuhang Liu, Dehua Peng, Qianxi Lan, Zhangxiao Shen, Huan Chen, Yuhui Zuo, Yao Yao, Huayi Wu, Kai Li, Kun Qin

Subjects: “…Mobility prediction…”
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Predicting and Investigating the Permeability Coefficient of Soil with Aided Single Machine Learning Algorithm by Van Quan Tran

“…The aim of this paper was to select a highest performance and reliable machine learning (ML) model to predict the permeability coefficient of soil and quantify the feature importance on the predicted value of the soil permeability coefficient with aided machine learning-based SHapley Additive exPlanations (SHAP) and Partial Dependence Plot 1D (PDP 1D). …”
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Prediction of Lycii Cortex Quality Marker Based on Network Pharmacology and Chemometrics Methods by Xinrui Wang, Guotong Li, Haoqiang Ding, Xiqin Du, Lanying Zhang, Jingze Zhang, Dailin Liu

“…Based on the effectiveness, measurability, and traceability of the quality marker (Q-marker) theory of traditional Chinese medicine, the Q-marker of Lycii Cortex (LC) was preliminarily predicted and analyzed. A UPLC–Q-TOF-MS qualitative analysis method for LC samples was established. …”
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An Alternative Method for Traffic Accident Severity Prediction: Using Deep Forests Algorithm by Jing Gan, Linheng Li, Dapeng Zhang, Ziwei Yi, Qiaojun Xiang

“…Traffic safety has always been an important issue in sustainable transportation development, and the prediction of traffic accident severity remains a crucial challenging issue in the domain of traffic safety. …”
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Early Cracking Risk Prediction Model of Concrete under the Action of Multifield Coupling by Caiyun Jin, Jianglin Liu, Zigeng Wang, Yue Li

“…Then, the hydration degree prediction model of the concrete's early elastic modulus and tensile strength was established. …”
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Prediction and Analysis of Slope Stability Based on IPSO-SVM Machine Learning Model by Yu Wang, Erxia Du, Sanqiang Yang, Li Yu

“…The results show that the maximum relative error of the IPSO-SVM model is only 1.3%, and the average relative error is 1.1%, which is far lower than the prediction error of the PSO-SVM model and SVM model; therefore, the prediction result of IPSO-SVM is the closest to the real value. …”
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On the Prediction of Product Aesthetic Evaluation Based on Hesitant-Fuzzy Cognition and Neural Network by Xinying Wu, Minggang Yang, Zishun Su, Xinxin Zhang

“…This method makes data more suitable for the prediction with small samples, obtaining an accuracy improvement of up to 40% compared with traditional approaches. …”
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Predicting the Use of Public Transportation: A Case Study from Putrajaya, Malaysia by Muhamad Nazri Borhan, Deprizon Syamsunur, Norliza Mohd Akhir, Muhamad Razuhanafi Mat Yazid, Amiruddin Ismail, Riza Atiq Rahmat

“…The results of this study demonstrate that the model that was developed is useful in predicting the public transport and it could provide a more complete understanding of behavioral intention towards public transport use.…”
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Overview of modern technologies for measuring, predicting and correcting turbulent distortions in optical waves by V.P. Lukin, I.P. Lukin

“…The work consists of the following parts: description of a technique for measuring fluctuations of optical waves in an atmospheric path, theoretical calculations of fluctuations by analytical analysis and mathematical modeling methods, technology for predicting turbulent air movement by the numerical solution of the Navier–Stokes equations and, finally, constructing adaptive optics systems that compensate for the turbulent distortions in optoelectronic image construction systems. …”
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Midkine: A Novel Biomarker to Predict Malignancy in Patients with Nodular Thyroid Disease by Fatih Kuzu, Dilek Arpaci, Mustafa Unal, Ayfer Altas, Gürkan Haytaoglu, Murat Can, Figen Barut, Furuzan Kokturk, Sevil Uygun Ilikhan, Taner Bayraktaroglu

“…In this study, we aimed to evaluate serum midkine (SMK) and nodular midkine (NMK) levels in patients with thyroid nodules to predict malignancy and whether there was any association between. …”
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EVALUATION OF THE MODEL PREDICTION TOXICITY (LD50) FOR SERIES OF 42 ORGANOPHOSPHORUS PESTICIDES by HANANE FIKRI, TAOUFIQ FECHTALI, MOHAMED MAMOUMI

“…A model with three descriptors, including: total lipophilicity [log (P)], widths radicals R1 [(LR1)] and R2 [(LR2)] has achieved good results in phase Training and phase prediction of toxicity [log LD50 (lethal dose 50, Oral rat)]. …”
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Predicting the Collisions of Heavy Vehicle Drivers in Iran by Investigating the Effective Human Factors by Hossein Naderi, Habibollah Nassiri, Farnaz Zahedieh

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Using Electrocardiogram Signal Features and Heart Rate Variability to Predict Epileptic Attacks by Ying Jiang, Yuan Feng, Danni Lu, Lin Yang, Qun Zhang, Haiyan Yang, Ning Li

“…Since the increase in neuronal activity during an epileptic attack affects the voluntary nervous system, and the voluntary nervous system also affects the heart rate variability, it can be concluded that seizures can be predicted by monitoring heart rate variability. In this study, a new method for predicting epilepsy through the analysis of heart rate variability is proposed. …”
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Prediction of Tetraoxygen Reaction Mechanism with Sulfur Atom on the Singlet Potential Energy Surface by Ashraf Khademzadeh, Morteza Vahedpour, Fereshte Karami

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Leaving Before Completing: How Course Withdrawal Predicts College Student Success by Ibrahim Bicak, Z.W. Taylor

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Deep Learning for Predicting the Difficulty Level of Removing the Impacted Mandibular Third Molar by Vorapat Trachoo, Unchalisa Taetragool, Ploypapas Pianchoopat, Chatchapon Sukitporn-udom, Narapathra Morakrant, Kritsasith Warin

“…The aim of this study was to develop and evaluate a computer-aided visualisation–based deep learning (DL) system using a panoramic radiograph to predict the difficulty level of surgical removal of an impacted LM3. …”
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Axial-Symmetry Numerical Approaches for Noise Predicting and Attenuating of Rifle Shooting with Suppressors by Shi-Wei Lo, Chang-Hsien Tai, Jyh-Tong Teng

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Factors Predicting Adverse Events Associated with Pregabalin Administered for Neuropathic Pain Relief by Yuko Kanbayashi, Keiko Onishi, Toyoshi Hosokawa

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An integrated framework for prediction and sensitivity analysis of water levels in front of pumping stations by Weilin Wang, Guoqing Sang, Qiang Zhao, Yang Liu, Longbin Lu, Guangwen Shao

“…Study region: The South-to-North Water Diversion Eastern Route Project section from the Nansihu-Dongpinghu pumping station cluster.Study focus: An integrated framework for prediction and sensitivity analysis of water levels in front of pumping stations is proposed to obtain more accurate predictive surrogate models and to simplify surrogate model inputs. …”
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