Miao Liu, Lei Feng, Yexun Yuan, Ye Liu, Peng Geng^*

Journal on Artificial Intelligence, Vol.5, pp. 181-193, 2023, DOI:10.32604/jai.2023.046066

Abstract This article aims to address the clustering effect caused by unorganized charging of electric vehicles by adopting a two-tier recommendation method. The electric vehicles (EVs) are classified into high-level alerts and general alerts based on their state of charge (SOC). EVs with high-level alerts have the most urgent charging needs, so the distance to charging stations is set as the highest priority for recommendations. For users with general alerts, a comprehensive EV charging station recommendation model is proposed, taking into account factors such as charging price, charging time, charging station preference, and distance to the charging station. Using real data… More >

Ting Wang¹, Markus Gerber², Fabian Herold³, Joseph Bardeen⁴, Sebastian Ludyga², Alyx Taylor⁵, Arthur F. Kramer^6,7, Liye Zou^1,*

International Journal of Mental Health Promotion, Vol.25, No.9, pp. 995-1008, 2023, DOI:10.32604/ijmhp.2023.029804

Abstract Affective exercise experience as an emerging theoretical concept has great potential to provide a more nuanced understanding of individual factors that influence exercise behavior. However, concerning the Affective Exercise Experiences (AFFEXX) questionnaire, it has not been examined yet whether the structural score of the AFFEXX is a useful index to predict physical activity (refers to any bodily movement produced by skeletal muscles that requires energy expenditure). Furthermore, there is currently a gap in knowledge regarding the psychological mechanisms that can explain the relationship between affective exercise experiences and the level of physical activity (PA). In order to adress these gaps… More >

Woo Young Park¹, Gi Beom Kim^1,*, Sang Yun Lee¹, Mi Kyoung Song¹, Hye Won Kwon¹, Hyo Soon An¹, Eun Jung Bae¹, Sungkyu Cho², Jae Gun Kwak², Woong-Han Kim²

Congenital Heart Disease, Vol.17, No.3, pp. 335-350, 2022, DOI:10.32604/chd.2022.018666

Abstract Objectives: To establish long-term outcome of surgical pulmonary valve replacement (PVR) in congenital heart disease (CHD) and to identify risk factors for overall mortality, operative mortality, and repetitive PVR. Methods: This is a retrospective study of 375 surgical PVR in 293 patients who underwent surgical PVR for CHD between January 2000 and May 2020. We only included patients with index PVR with previous open-heart surgery regardless of the number of PVRs. The previous surgical history of patients who underwent PVR during the study period was also included. Patients who underwent the Rastelli operation, and those who underwent single PVR without… More >

Jing Cheng¹, Yang Xie², Jie Zhang^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.3, pp. 1831-1855, 2022, DOI:10.32604/cmes.2022.020178

Abstract For a city, analyzing its advantages, disadvantages and the level of economic development in a country is important, especially for the cities in China developing at flying speed. The corresponding literatures for the cities in China have not considered the indicators of economy and industry in detail. In this paper, based on multiple indicators of economy and industry, the urban hierarchical structure of 285 cities above the prefecture level in China is investigated. The indicators from the economy, industry, infrastructure, medical care, population, education, culture, and employment levels are selected to establish a new indicator system for analyzing urban hierarchical… More >

Guanfeng Chang, Xinzhu Hua^*, Xiao Liu, Chen Li, Enqian Wang, Bingjun Sun

Journal of Renewable Materials, Vol.10, No.5, pp. 1439-1458, 2022, DOI:10.32604/jrm.2022.018607

Abstract The filling mining method is important in realizing the green mining of mineral resources. Aiming at the problems of land resource occupation, environmental pollution, and rational utilization of coal-based solid wastes such as coal gangue, fly ash, and desulfurization gypsum, a new paste filling material was developed with coal gangue, fly ash, and desulfurization gypsum as raw materials. The microstructure of the raw materials was analyzed by XRD and SEM. Combined with the Box-Behnken experimental design, the effect of each component on the fluidity of the filling slurry was analyzed through the response surface analysis. The significance of each component… More > Graphic Abstract

Volkan Duran¹, Selçuk Topal^2,*, Florentin Smarandache³, Said Broumi⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.129, No.2, pp. 953-971, 2021, DOI:10.32604/cmes.2021.016696

Abstract In this study, the Five Facet Mindfulness Questionnaire which was adapted from the short form of the Five Facet Mindfulness Questionnaire was evaluated and this scale into neutrosophic form was converted and the results of the scale were compared for proposing new type confirmatory analysis procedure as well as developing neutrosophic scales. The exploratory factor analysis was used in the analysis of the data. Besides, test results were analyzed for Kaiser–Meyer–Olkin and Bartlett values, common factor variance values, scree plot graphs, and the principal component analysis results. The sample of the study consists of 194 students in mathematics departments at… More >

Ashutosh Kumar Dubey^1,*, Sushil Narang¹, Abhishek Kumar¹, Satya Murthy Sasubilli², Vicente García-Díaz³

CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 1921-1936, 2021, DOI:10.32604/cmc.2020.012151

Abstract Novel Coronavirus Disease (COVID-19) is a communicable disease that originated during December 2019, when China officially informed the World Health Organization (WHO) regarding the constellation of cases of the disease in the city of Wuhan. Subsequently, the disease started spreading to the rest of the world. Until this point in time, no specific vaccine or medicine is available for the prevention and cure of the disease. Several research works are being carried out in the fields of medicinal and pharmaceutical sciences aided by data analytics and machine learning in the direction of treatment and early detection of this viral disease.… More >

Han Zhang, Gang Li, Xiangming Fan, Junwu Su^*

Congenital Heart Disease, Vol.15, No.5, pp. 361-367, 2020, DOI:10.32604/CHD.2020.013020

Abstract Background: To identify factors associated with shunt failure in patients with a systemic pulmonary shunt (SPS). Methods: We retrospectively assessed 451 patients who received SPS. Perioperative parameters such as hemoglobin, Nakata Index, and shunt size were assessed, and factors influencing shunt failure after an initial palliative shunt operation were analyzed. Results: We analyzed 451 patients who underwent isolated SPS surgery at Anzhen Hospital. Of these, shunt failure occurred in 48 (10.6%) cases after a median of 6.5 days. The 30-day mortality rate was 2.1%. Univariate and logistic regression analysis revealed that a Nakata Index ≤ 105 and vasoactive-inotropic score (VIS)… More >

Shaoyun Long^1,*, Qianying Long²

Intelligent Automation & Soft Computing, Vol.26, No.3, pp. 585-595, 2020, DOI:10.32604/iasc.2020.013937

Abstract The traditional factor analysis models, such as the generalized linear regression model and the gistic regression model have disadvantages of large standard error of analysis results. For this purpose, a multilevel factor analysis model based on time series and independent variable data is designed. The OLS estimation analysis method is used to establish the basic environment form, to derive the model calculation parameters and to complete the environment construction of the multilevel analysis model. On the basis of the construction environment, the double-level environment reference module and the multilevel factor analysis module are designed to realize the design of the… More >

Martin Christmann^1,2, Alexandra Wipf^1,2, Hitendu Dave^2,3, Daniel Quandt^1,2, Oliver Niesse^1,2, Markus Deisenberg^2,4, Martin Hersberger^2,5, Oliver Kretschmar^1,2, Walter Knirsch^1,2

Congenital Heart Disease, Vol.13, No.4, pp. 594-601, 2018, DOI:10.1111/chd.12615

Abstract Objective: To find risk factors for a complicated early postoperative course after arterial switch operation (ASO) in neonates with d-transposition of the great arteries (dTGA). In addition to anatomical and surgical parameters, the predictive value of early postoperative troponin T (TnT) values in correlation to the early postoperative course after ASO is analyzed.
Methods: Seventy-nine neonates (57 (72%) male) with simple dTGA treated by ASO between 2009 and 2016 were included in the analysis. A complicated early postoperative course (30 days) was defined by one of the following criteria: (A) moderate to severe cardiac dysfunction without rhythm disturbances, (B) rhythm… More >