The Mechanisms of Movement Control and Time Estimation in Cervical Dystonia Patients by Pavel Filip, Ovidiu V. Lungu, Daniel J. Shaw, Tomas Kasparek, Martin Bareš

“…Our results suggest that the cervical dystonia patients are impaired at integrating incoming visual information with motor responses during the prediction of upcoming actions, an impairment we interpret as evidence of cerebellar dysfunction.…”
Get full text

Credit Risk Assessment for Small and Microsized Enterprises Using Kernel Feature Selection-Based Multiple Criteria Linear Optimization Classifier: Evidence from China by Yimeng Wang, Yunqi Zhang

“…Evidence shows that the core of small and microsized enterprises’ credit risk assessment is to construct a scientific credit risk indicator system, and the key is to establish an effective credit risk prediction model. Therefore, we analyze the factors that influence the credit risk of Chinese small and microsized enterprises and then construct a comprehensive credit risk indicator system by adding behaviour information, supervision information, and policy information. …”
Get full text

The Study on Credit Risk Warning of Regional Listed Companies in China Based on Logistic Model by Qingping Zhou, Long Wang, Li Juan, Shugong Zhou, Lingli Li

“…The results show that the logistic regression model with gray clustering analysis has high predictive accuracy and has a strong predictive ability to evaluate the credit risk of listed companies. …”
Get full text

Numerical Studies of the Gas-Solid Hydrodynamics at High Temperature in the Riser of a Bench-Scale Circulating Fluidized Bed by Maximilian J. Hodapp, Jhon J. Ramirez-Behainne, Milton Mori, Leonardo Goldstein

“…A research of the literature shows that studies for the prediction of key variables in CFB systems operating at high temperature still need to be implemented aiming at applications in energy conversion, such as combustion, gasification, or fast pyrolysis of solid fuels. …”
Get full text

Validation of NEPTUNE-CFD Two-Phase Flow Models Using Experimental Data by Jorge Pérez Mañes, Victor Hugo Sánchez Espinoza, Sergio Chiva Vicent, Michael Böttcher, Robert Stieglitz

“…The influence of different NEPTUNE-CFD model parameters on the void fraction prediction is investigated and discussed in detail. …”
Get full text

Blockchain-IoT Healthcare Applications and Trends: A Review by Wafaa A. N. A. Al-Nbhany, Ammar T. Zahary, Asma A. Al-Shargabi

“…The study in this paper includes 14 blockchain IOT healthcare applications: remote patient monitoring, patient tracking, disease prediction, tracking COVID-19, image retrieval, security of medical records, smart telemedicine, securing the Internet of Medical Things, big data, blockchain and sensors, accurate medical decisions, health monitoring, tracking soldiers, and solar energy.…”
Get full text

Influence of Abutment Stiffness and Strength on the Seismic Response of Horizontally Curved RC Bridges in Comparison with Equivalent Straight Bridges at Different Seismic Intensity... by Khashayar Heydarpour, Payam Tehrani

“…This paper investigates these limitations and evaluates the AASHTO code recommendations regarding the prediction of the seismic responses of curved bridges using an equivalent straight bridge for bridges with different abutment properties at different seismic hazard levels. …”
Get full text

Uncovering the genetic basis of milk production traits in Mexican Holstein cattle based on individual markers and genomic windows. by José G Cortes-Hernández, Adriana García-Ruiz, Francisco Peñagaricano, Hugo H Montaldo, Felipe J Ruiz-López

“…Genomic scans via the single-step genomic best linear unbiased prediction method were performed using BLUPF90 software. …”
Get full text

Study on hot deformation behavior of 9Cr18Mo stainles bearing steel by ZHANG Yu, WANG Jianguo, LIU Dong, LIANG Zhirui, ZHAO Jiahang

“…A constitutive equation with the strain compensation considered was developed and the prediction value is in good agreement with the experimental value. …”
Get full text

Improving molecular subtypes and prognosis of pancreatic cancer through multi group analysis and machine learning by Xue-Jian Zhang, Fang-Fang Lin, Ya-Qing Wen, Kun-Ping Guan

“…Establishing a novel consensus machine learning driven signature (CMLS) that offers a unique predictive model and possible treatment targets for this condition was the goal of this study. …”
Get full text

Soil Restoration Practices on Priming Effect Intensity and Carbon Fluxes by Abdourhimou Amadou Issoufou, Bachirou Hamadou Younoussa, Idrissa Soumana, Ali Mahamane

“…Our results suggest that indirect effects such as altered stabilization of older C associated with the increased inputs of fresh plant inputs (“priming”) add uncertainty to the prediction of future soil C responses. In addition, restoration influences the abundance and diversity of decomposers, as well as the soil microbial community, by inducing up to more CO2 emission with fresh millet straw addition in fresh state than the predecomposed one. …”
Get full text

An Airfield Soil Pavement Design Method Based on Rut Depth and Cumulative Fatigue by Duoyao Zhang, Liangcai Cai, Shaohui Zhou

“…Furthermore, according to the rut prediction formula for airfield soil pavement put forward by the US Army Engineer Research and Development Center, a fatigue equation based on the resilient modulus was proposed to calculate the allowable number of repetitions. …”
Get full text

Simulation and Test Study of Blast Crater in Deep Ore Body of Metal Mine Based on Lsdyna by Erhu Dong, Long An, Yuanhui Li, Jiahua Zhang

“…By combining the blast crater test of the ore body and the numerical simulation of Lsdyna, the prediction of powder factor, blast action index, and blast vibration intensity is realized, which provides a reference for the controlled blasting of the deep ore body.…”
Get full text

Clinical Significance of NKD Inhibitor of WNT Signaling Pathway 1 (NKD1) in Glioblastoma by Lijun Li, Ruiying Gao, Weizhong Huangfu, Fang Zhang, Ruixia Wang

“…The mRNA level of NKD1 was firstly retrieved from TCGA glioma dataset to evaluate its correlation with clinical characteristics and its value in prognosis prediction. Then, its protein expression level in glioblastoma was tested by immunohistochemistry staining in a retrospectively cohort collected from our medical center (n = 66). …”
Get full text

Application of Radiomics Model of CT Images in the Identification of Ureteral Calculus and Phlebolith by Qiuyue Yu, Jiaqi Liu, Huashan Lin, Pinggui Lei, Bing Fan

“…The feature subset with the most predictability was selected to establish the 3D radiomics model. …”
Get full text

Study of a System Dynamics Model of Wuhan Commodity Housing Price by Jingyi Guo, Junwu Wang, Denghui Liu, Shi Qiao, Han Wu

“…Based on the model, it is successfully predicted that the price of commercial housing in Wuhan will reach 18,207.9 yuan/m2 in 2030, which provides a more systematic method of prediction for synthesis simulation of commercial housing markets. …”
Get full text

Forecasting of CVaR based on intraday trading in Tehran ETFs: The approach of heterogeneous autoregression models by Shiva Hallaji, Mahdi Madanchi Zaj, Fereydon Ohadi, Hamidreza Vakilifard

“…Additionally, CVaR prediction was more accurate for index funds than for equity and fixed-income funds, with the HARQ model demonstrating superior performance.Originality/Value: This study investigates the application of HAR models in predicting ETF risks and provides a novel framework for risk management and investment decision making, particularly in the Iranian financial market.…”
Get full text

Transcriptomics profiling of Parkinson’s disease progression subtypes reveals distinctive patterns of gene expression by Carlo Fabrizio, Andrea Termine, Carlo Caltagirone

“…ML revealed that the progression subtype with the worst prognosis can be predicted at baseline with 0.877 AUROC, yet the contribution of gene expression was marginal for the prediction of the subtypes. …”
Get full text

Determination and Monitoring of Key Construction Control Indices for Low-Temperature Performance of Asphalt Mixtures Based on BIM Platform by Yulong Zhao, Ying Gao, Ke Zhang, Yao Zhang, Mingce Yu

“…The low-temperature performance of asphalt mixtures was evaluated by the semicircular bend (SCB) test. A new prediction model of critical strain energy release rate was established to evaluate the low-temperature performance of the asphalt layer. …”
Get full text

Impact of Operational and Financial Efficiency on Aviation Stock Prices: A Machine Learning Model with SHAP Interpretability by Ahmet Akusta

“…SHAP values provided interpretable insights into the model's predictions, allowing for a better understanding of the relative importance of different features. …”
Get full text