Multifractal Analysis and Compressive Strength Prediction for Concrete through Acoustic Emission Parameters by Zhiqiang Lv, Annan Jiang, Jiaxu Jin, Xiangfeng Lv

“…However, few studies investigate the multifractal regularity and compressive strength prediction for concrete using AE parameters. Therefore, the major objective of this research is to perform multifractal analysis of damage and develop support vector machine (SVM) for strength prediction based on AE parameters. …”
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Prediction of Four Kinds of Simple Supersecondary Structures in Protein by Using Chemical Shifts by Feng Yonge

“…Using these CSs as inputs of the method of quadratic discriminant analysis (QD), we achieve the overall prediction accuracy of 77.3%, which is competitive with the same method for predicting supersecondary structures from amino acid compositions in threefold cross-validation. …”
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Prediction of Ultimate Antifloating Force of Bored Piles in Urban Road Crossing Overpass by Zhang Minxia, Fan Kaijun, Liao Shengrong, Xu Ping, Li Jinwei, Chen Chen

“…For the purpose of studying the antifloating behavior of bored piles and predicting the uplift bearing capacity in underpass engineering, the on-site pull-out tests of bored piles are carried out in laboratory. …”
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Wind speed and direction on predicting wind energy availability for a sustainable ecosystem by B. Baranitharan, D. Sivakumar, M. Perarul Selvan

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Domain‐Specific Prediction of Clinical Progression in Parkinson's Disease Using the Mosaic Approach by Marlene Tahedl, Ulrich Bogdahn, Bernadette Wimmer, Dennis M. Hedderich, Jan S. Kirschke, Claus Zimmer, Benedikt Wiestler

“…We also tested the predictive power of the restricted MAP in predicting disease progression over 1 and 3 years using support vector machines. …”
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Disturbance Robust Generalized Predictive Control Applied to an EV Charger Grid Converter by Jefferson S. Costa, Angelo Lunard, Luis F. Normandia Lourenco, Lucas Rodrigues, Alfeu J. Sguarezi Filho

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Predicting Neoplastic Gallbladder Polyps: The Role of Current Surgical Indications and Preoperative Images by Ik Hyun Jo, Chang Nyol Paik, Hong Geun Ahn, Dong Do You, Jae Hyun Han, Hyun A Kim

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A Deep-Learning Prediction Model for Imbalanced Time Series Data Forecasting by Chenyu Hou, Jiawei Wu, Bin Cao, Jing Fan

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Predictive biomarkers for cardiometabolic risk in postmenopausal women: insights into visfatin, adropin, and adiponectin by Anna Maria Cybulska, Daria Schneider-Matyka, Ireneusz Walaszek, Mariusz Panczyk, Dorota Ćwiek, Anna Lubkowska, Elżbieta Grochans, Kamila Rachubińska, Katarzyna Malewicz, Mariusz Chabowski, Mariusz Chabowski

“…Furthermore, circulating adiponectin positively correlated with HDL, and negatively with HOMA-IR.ConclusionsAdiponectin is a promising biomarker for predicting cardiometabolic risk in postmenopausal women.…”
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Predictive Value of CCTA Plaque Characteristics for the Progression and Prognosis of Coronary Artery Stenosis by Zhengteng LI, Min WANG, Dongmei PAN, Xiankai WANG

“…Objective: To investigate the value of qualitative and quantitative plaque characteristics on coronary computed tomography angiography (CCTA) in predicting coronary stenosis progression and prognosis. …”
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Factors for Predicting Favorable Outcome of Percutaneous Epidural Adhesiolysis for Lumbar Disc Herniation by Sang Ho Moon, Jae Il Lee, Hyun Seok Cho, Jin Woo Shin, Won Uk Koh

“…In this study, we retrospectively evaluated the factors which predict the outcome of percutaneous epidural adhesiolysis in patients who were diagnosed with lumbar disc herniation. …”
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Prediction model for spontaneous combustion temperature of coal based on PSO-XGBoost algorithm by Hui Zhuo, Tongren Li, Wei Lu, Qingsong Zhang, Lingyun Ji, Jinliang Li

“…Abstract The construction of a predictive model that accurately reflects the spontaneous combustion temperature of coal in goaf is fundamental to monitoring and early warning systems for thermodynamic disasters, including coal spontaneous combustion and gas explosions. …”
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Multimedia Network Public Opinion Supervision Prediction Algorithm Based on Big Data by Yangfan Tong, Wei Sun

“…Because of the above problems, based on the long-term and short-term memory network model, a regularized method is used to construct a multimedia network public opinion prediction model algorithm. This paper builds a multimedia network public opinion threat rating evaluation model based on the public opinion supervision prediction model and conducts analysis. …”
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Prediction of Compressive Strength of Concrete Using Artificial Neural Network and Genetic Programming by Palika Chopra, Rajendra Kumar Sharma, Maneek Kumar

“…A comparison of the prediction results obtained using both the models is presented and it can be inferred that the ANN model with the training function Levenberg-Marquardt (LM) for the prediction of concrete compressive strength is the best prediction tool.…”
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Machine learning based prediction of specific heat capacity for half-Heusler compounds by Laxman Chaudhary, Keshab Chaudhary, Ambika Shahi, Kedar Nath Jaiswal, Dipendra Prasad Kalauni, Se-Hun Kim, Madhav Prasad Ghimire

“…This study investigates the predictive performance of a stacked model for estimating the lattice parameters and specific heat capacity of 438 half-Heusler alloys with 28 columns in different properties. …”
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Validation of a Finite Element Simulation for Predicting Individual Knee Joint Kinematics by Elin Theilen, Anna Rorich, Thomas Lange, Sebastian Bendak, Cora Huber, Hagen Schmal, Kaywan Izadpanah, Joachim Georgii

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Does Apoptotic Index Predict the Response to Neoadjuvant Chemotherapy in Patients with Breast Carcinoma? by Gokce ASKAN, Oguzhan OKCU, Cigdem OZTURK, Seda DUMAN OZTURK, Bayram SEN, Recep BEDIR

“…This study aimed to investigate whether evaluating the apoptotic index (AI) from TCB can predict the response before treatment (TC-BT) and whether there is a correlation between AI and clinicopathologic parameters. …”
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Online NIR Analysis and Prediction Model for Synthesis Process of Ethyl 2-Chloropropionate by Wei Zhang, Hang Song, Jing Lu, Wen Liu, Lirong Nie, Shun Yao

“…Moreover, the root mean square error of prediction (RMSEP) of validation set was 0.036429 mol/L. …”
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TRACE Model: Predicting Treatment Response to Transarterial Chemoembolization in Unresectable Hepatocellular Carcinoma by Wang W, Zhang Q, Cui Y, Zhang S, Li B, Xia T, Song Y, Zhou S, Ye F, Xiao W, Cao K, Chi Y, Qu J, Zhou G, Chen Z, Zhang T, Chen X, Ju S, Wang YC

“…In contrast, none of the published scoring systems, including ART, SNACOR or ABCR score, demonstrated significant differences between the risk groups in OS prediction.Conclusion: The TRACE model exhibited favorable predictive capability for six-month TACE response, and holds potential as a marker for long-term survival outcomes.Keywords: hepatocellular carcinoma, treatment response, transarterial chemoembolization, radiomics…”
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Tumor mutation burden for predicting immune checkpoint blockade response: the more, the better by Ming Zheng

“…However, high TMB (TMB-H) defined by >10 mut/Mb fails to predict ICB response across different cancer types, which has raised serious concerns on the current FDA approval. …”
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