A new method to predict refracture risk after locking compression plate removal of clavicle shaft by Shuai Han, Qinghe Wang, Fang Tan, Kun Li, Shuang Li

“…This study tries to introduce a new method to predict the refracture risk of the clavicle after hardware removal. …”
Get full text

Model of Urine Accumulation in the Bladder and Method for Predicting Unconstrained Urine Volume Based on Absorption Spectrum of Urine by Y. Kurihara, T. Yamasaki, T. Kaburagi, S. Kumagai, T. Matsumoto

“…We performed a series of experiments to evaluate the proposed method and calculated its error rate based on the actual amount of urine and that predicted using the method. …”
Get full text

A Multidimensional Parameter Dynamic Evolution-Based Airdrop Target Prediction Method Driven by Multiple Models by Xuesong Wang, Jiapeng Yin, Jianbing Li, Yongzhen Li

“…To evaluate the impact of model input errors on prediction methods, this work analyzes the influence mechanism of the wind field detection error on the airdrop prediction method via the Relative Gain Array (RGA) and verifies the analytical results using the numerical simulation method. …”
Get full text

Rapid assessment of seismic performance for multi-story RC frame buildings using direct prediction method by Xin Chen, Haojie Hu, Wenwei Fu, Tao Liu, Yong Sun, Cong Liu

“…This paper also includes an application study to evaluate the feasibility of the proposed method. Comparative analysis of RC frame damage assessments using various methods reveals that the calculation results of the direct prediction method are not significantly different from the other three methods, meeting the need for rapid assessment of seismic performance. …”
Get full text

Construction of a Surface Roughness and Burr Size Prediction Model Through the Ensemble Learning Regression Method by Ali Khosrozadeh, Seyed Ali Niknam, Fatemeh Hajizadeh

Get full text

An Advanced Approach for Predicting Workpiece Surface Roughness Using Finite Element Method and Image Processing Techniques by Taoming Chen, Chun Li, Zhexiang Zou, Qi Han, Bing Li, Fengshou Gu, Andrew D. Ball

“…By employing range and regression analyses methods, this study quantitatively evaluates the interdependencies among cutting parameters, forces, temperatures, and roughness, subsequently formulating a multivariate regression model to predict surface roughness. …”
Get full text

The three-dimensional structure prediction of human bitter taste receptor using the method of AlphaFold3 by Takafumi Shimizu, Rio Ohno, Michihiro Kayama, Kenta Aso, Yasuyuki Fujii, Yoshitomo Suhara, Vittorio Calabrese, Naomi Osakabe

Get full text

Construction and evaluation of a height prediction model for children with growth disorders treated with recombinant human growth hormone by Feng Zhu, Anle Wu, Lingling Chen, Ya Xia, Xiaoju Luo, Jieqian Zhu, Lina Huang, Yu Zhang

“…Objective To develop and evaluate a predictive model using clinical data to assess early height growth response in children with growth disorders undergoing rhGH therapy. …”
Get full text

Explainable Machine Learning to Predict the Construction Cost of Power Plant Based on Random Forest and Shapley Method by Suha Falih Mahdi Alazawy, Mohammed Ali Ahmed, Saja Hadi Raheem, Hamza Imran, Luís Filipe Almeida Bernardo, Hugo Alexandre Silva Pinto

“…This study aims to develop a reliable method for predicting power plant construction costs during the early planning stages using ensemble machine learning techniques. …”
Get full text

Defining a radiomics feature selection method for predicting response to transarterial chemoembolization in hepatocellular carcinoma patients by Helen Zhang, Li Yang, Amanda Laguna, Jing Wu, Beiji Zou, Alireza Mohseni, Rajat S. Chandra, Tej I. Mehta, Hossam A. Zaki, Paul Zhang, Zhicheng Jiao, Ihab R. Kamel, Harrison X. Bai

“…Aim: To assess the utility of different radiomics feature selection methods in predicting transarterial chemoembolization (TACE) response in hepatocellular carcinoma (HCC) patients. …”
Get full text

In vitro methodologies to evaluate nanocarriers for cancer treatment: where are we? by Giovanna Cassone Salata, Camila Megumi Hirokawa, Giovanna Barros de Melo, Isabella Draszesski Malagó, Jessica Ribeiro Nunes, Julia Sapienza Passos, Regina Gomes Daré, Luciana B. Lopes

Get full text

Expression of Androgen, Estrogen, and Progesterone Receptors in the Skin of Patients with Severe Acne and the Assessment of Their Predictive Potential Using Artificial Intelligence... by Olga M. Demina

“…The present study aimed to determine and analyze the immunohistochemical expression of androgen, estrogen, and progesterone receptors in the skin of SA patients and to evaluate their predictive potential using artificial intelligence methods. …”
Get full text

Neural network-based evaluation method for alignment state of air spring vibration isolation device by Zhiwei LIU, Liang SHI, Song LIU

“…MethodA BP neural network-based prediction model is developed. …”
Get full text

Evaluation Method of Total Organic Carbon Content in Shale Based on Stacking Algorithm Ensemble Learning by SONG Yanjie, LIU Yingjie, TANG Xiaomin, ZHANG Zhaoqian

“…Total organic carbon content (TOC) is an important parameter for shale oil reservoir evaluation. However, traditional log evaluation methods for TOC have low accuracy and poor universality. …”
Get full text

Reliability evaluation method and system for the ventilation door cylinder based on Bayes Monte Carlo simulation by Peiyang Su, Liwen Guo, Jiayong Zhang, Li Ma

“…To address this gap, this study proposes a Weibull life prediction method, integrating Bayesian inference and Monte Carlo simulation, aiming at anticipating changes in cylinder reliability. …”
Get full text

Research on strong and weak evaluation method of air brake for intelligent driving heavy haul train by WANG Feikuan, JIANG Jie, ZHANG Zhengfang, LUO Yuan

“…The results show that the prediction accuracy of the proposed method can reach more than 90%, which verifies the method is rational and effective, having good and practical value in engineering application.…”
Get full text

Evaluation method of distribution network operation status based on local fuzzy measure in boundary region by Bing Yu, Peng Xie, Zhonglin Ding, Letian Li, Changan Chen, Chunfeng Jing

“…At the same time, the example results showed that the research method had a risk prediction of 0.91 for power outage networks, which was close to the real situation and had high accuracy. …”
Get full text

An Optimized Dynamic Benefit Evaluation Method for Pumped Storage Projects in the Context of the “Dual Carbon” Goal by Cong Feng, Qi Guo, Qian Liu, Feihong Jian

“…In this paper, the multi-stage dynamic benefit evaluation model was constructed by introducing time-of-use tariffs, periodic capacity pricing mechanism, and ancillary service revenue prediction based on machine learning and the multiple regression method. …”
Get full text

Evaluation Method of Gas Production in Shale Gas Reservoirs in Jiaoshiban Block, Fuling Gas Field by Haitao Rao, Wenrui Shi, Shuoliang Wang

“…This paper introduces a gas-production potential evaluation method based on the Analytic Hierarchy Process (AHP). …”
Get full text

New Analytical Method to Evaluate Casing Integrity during Hydraulic Fracturing of Shale Gas Wells by Jun Li, Xueli Guo, Gonghui Liu, Shuoqiong Liu, Yan Xi

“…Thicker casing, higher fluid temperature, and cement sheath with small modulus, large Poisson’s ratio, and thinner wall were effective to decrease the casing stress. This new method was able to accurately predict casing stress, which can become an alternative approach of casing integrity evaluation for shale gas wells.…”
Get full text