Atherogenic Index and High-Density Lipoprotein Cholesterol as Cardiovascular Risk Determinants in Rheumatoid Arthritis: The Impact of Therapy with Biologicals by Calin D. Popa, Elke Arts, Jaap Fransen, Piet L. C. M. van Riel

“…Atherogenic index has been suggested to be less susceptible to disease activity variation during large periods of time, making him more attractive to be used in CV risk prediction in this group of patients as compared to individual lipids concentrations. …”
Get full text

Stress-sensitive neurosignalling in depression: an integrated network biology approach to candidate gene selection for genetic association analysis by J. Anke M. van Eekelen, Justine A. Ellis, Craig A. Olsson, Craig E. Pennell, Jeff Craig, Richard Saffery, Eugen Mattes

“…We conclude that knowledge of the neurobiology of the stress response system is likely to play a central role in future efforts to improve genetic prediction of depression and related disorders.…”
Get full text

Exploring a Design of Landslide Monitoring System by Rahat Khan, Suhail Yousaf, Abdul Haseeb, Muhammad Irfan Uddin

“…Through extensive simulations, the performance of various landslide prediction and detection models has been evaluated. …”
Get full text

ANALYSIS FOR SOLENOID VALVE FAILURE BASED ON MULTI-PHYSICS FINITE ELEMENT MODEL by LI JianFeng, XIAO MingQing, TANG XiLang, SHI WeiWen, WANG RuoAn

“…When the electromagnetic force of iron core is lower than its threshold, the iron core will not overcome the elasticity to move up and down and finally the failure of the SV will happen. This prediction method can be widely applied to the other fault diagnosis types of degradation failure of solenoid valves. …”
Get full text

Characteristics of Low Reynolds Number Shear-Free Turbulence at an Impermeable Base by W. H. M. Wan Mohtar, A. ElShafie

“…At low Rel<117, however, the turbulence profile deviated from the prediction where no amplification of horizontal velocity components was observed and the vertical velocity components were seen to be constant towards the tank base. …”
Get full text

Fast HEVC Intramode Decision Based on Hybrid Cost Ranking by Hao Liu, Yuexin Jie

“…The proposed scheme utilizes the coded results of the modified rough mode decision and the neighboring prediction units so as to obtain a potential candidate subset and then conditionally selects the optimal mode through early likelihood decision and hybrid cost ranking. …”
Get full text

Gender Classification With Hand-Wrist Radiographs Using the Deep Learning Method by İbrahim Yücel Özbek, Mustafa Taha Güller, Zeynep Turanli Tosun, Nida Kumbasar, Özkan Miloğlu

“…In the gender classification problem, AlexNet, VGG16 and VGG19 transfer learning methods were both used as separate classifiers, and the features taken from these methods were combined and given to the support vector machine (SVM) classifier.Results: The results revealed that image analysis and deep learning techniques provided 91.1% accuracy in gender determination.Conclusion: Hand-wrist radiographs exhibited sexual dimorphism and could be used in gender prediction.Keywords: Deep learning; İmage analysis; Hand-wrist radiographs; Gender determination…”
Get full text

A multidimensional momentum chain model for tennis matches based on difference equations. by Jingya Wang, Sihang Guo, Yuanyun Zhou

“…When applied to 6,870 tennis matches, our model achieves a prediction accuracy exceeding 80%. Accordingly, we have proposed tennis training suggestions based on the mechanisms of momentum and developed strategies to effectively harness the "hot hand" phenomenon in matches.…”
Get full text

A Hybrid Process Monitoring and Fault Diagnosis Approach for Chemical Plants by Lijie Guo, Jianxin Kang

“…Meanwhile, the fault features of the monitoring variables are extracted, so then process monitoring can be performed with the squared prediction error (SPE) statistics of KPCA. Then, multiple WNN models are designed through the use of low-dimensional sample data preprocessed by KPCA as the training and test samples to detect the fault mode online. …”
Get full text

Transient Analysis and Safety Assessment of Turbofan Engine Structures during Bird Ingestion by Gang Luo, Chi Ma, Wei Chen, Lulu Liu, Zhenhua Zhao

“…We draw a conclusion that the relevant analysis/simulation data could be submitted to engine certification administration as key documents, the structural safety analysis and assessment method of turbofan engine due to bird ingestion could be applied as analysis and prediction work in the engine bird ingestion certification.…”
Get full text

Options Pricing by Monte Carlo Simulation, Binomial Tree and BMS Model: a comparative study by Ali Bendob, Naima Bentouir

“…Our paper aims to testing the effectiveness of the most popular options pricing models , which are the Monte Carlo simulation method, the Binomial model, and the benchmark model; the Black-Scholes model, when we ignore/take on account the Moneyness categories and different time to maturities; five months, one year, and two years, in addition to comparing these models, we will then test the effect of each model on the prediction of the current options prices, using the regression analysis, and the Nifty50 option index during the period of 25/07/2014 to 30/06/2016. …”
Get full text

A fatigue-reliability approach using ultrasonic non-destructive inspection by Chouikh, Iheb, Bouraoui, Chokri

“…This paper provides a method for fatigue life prediction based on ultrasonic non-destructive inspection applied on Al 2024 T3 material.A new crack quantification model based on ultrasonic waves features is developed. …”
Get full text

Short-term urban traffic forecasting in smart cities: a dynamic diffusion spatial-temporal graph convolutional network by Xiang Yin, Junyang Yu, Xiaoyu Duan, Lei Chen, Xiaoli Liang

“…Abstract Short-term traffic forecasting is an important part of intelligent transportation systems. Accurately predicting short-term traffic trends can avoid traffic congestion and plan travel routes, which is of great significance to urban management and traffic scheduling. …”
Get full text

Fast and Reliable Locating of Points with the Maximum Value of Total Electromagnetic Field Using a Modern Experimental Method for Radio Coverage in Urban Environment by Petar S. Medjedovic, Darko S. Suka

“…This research has been performed within the project “prediction, measurement, and analysis of composite electromagnetic field of artificial radiation sources,” funded by the Ministry of Science and Technology of the Republic of Srpska, Bosnia and Herzegovina. …”
Get full text

Drag Reduction of a Turbulent Boundary Layer over an Oscillating Wall and Its Variation with Reynolds Number by Martin Skote, Maneesh Mishra, Yanhua Wu

“…Taking this into account, the predictive model agrees well with DNS data. On the other hand, the growth of the boundary layer does not influence the drag reduction prediction.…”
Get full text

Computational Chemistry Study of pH-Responsive Fluorescent Probes and Development of Supporting Software by Ximeng Zhu, Yongchun Wei, Xiaogang Liu

“…This study employs quantum chemical computational methods to predict the spectroscopic properties of fluorescent probes 2,6-bis(2-benzimidazolyl)pyridine (BBP) and (<i>E</i>)-3-(2-(1<i>H</i>-benzo[<i>d</i>]imidazol-2-yl)vinyl)-9-(2-(2-methoxyethoxy)ethyl)-9<i>H</i>-carbazole (BIMC). …”
Get full text

Uncertainty Quantification of GEKO Model Coefficients on Compressible Flows by Yeong-Ki Jung, Kyoungsik Chang, Jae Hyun Bae

“…Results obtained through calibrated model coefficients by Bayesian inference show superior prediction with available experimental measurements than those from original model ones.…”
Get full text

Social media and capital markets: an interdisciplinary bibliometric analysis by Wen Long, Man Guo

“…These sample papers mainly include seven hot topics, including sentiment analysis and financial market prediction. Articles in business and finance focus more on social media’s impact on capital markets. …”
Get full text

Colour Mixing Modelling and Simulation: Optimization of Colour Recipe for Carded Fibres by Rocco Furferi, Monica Carfagni

“…The model consists in two modules: a “prediction module” predicts the colour of a blend obtained by mixing together several fibres; an “optimization module” is used to optimize the final recipe. …”
Get full text

La réduction de facteurs de risque de chronicité et le retour au travail by Michael Sullivan, Heather Adams, William Stanish, André Savard

“…Logistic regression revealed that only the duration of work disability and the reduction in pain catastrophizing contributed solely to the prediction of a return to work. The results of the present study provide preliminary evidence that the reduction of psychosocial risk factors related to chronicity may have a positive impact on the probability of returning to work.…”
Get full text