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Predictive models on photolysis and photoinduced toxicity of persistent organic chemicals

Qing ZHANG

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 6,   Pages 803-814 doi: 10.1007/s11783-013-0547-7

Abstract: Quantitative structure-activity relationship (QSAR) models that relate photodegradation kinetics or photoinducedThis paper reviews the QSAR models on photodegradation quantum yields and rate constants for toxic organicchemicals in different media including liquid phase, gaseous phase, surfaces of plant leaves, and QSAR models

Keywords: quantitative structure-activity relationship (QSAR) models     photodegradation     persistent organic pollutants    

Unconfined compressive strength prediction of soils stabilized using artificial neural networks and support vector machines

Alireza TABARSA, Nima LATIFI, Abdolreza OSOULI, Younes BAGHERI

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 520-536 doi: 10.1007/s11709-021-0689-9

Abstract: as by predicting the strength behavior of stabilized soils using two artificial-intelligence-based modelsTwo artificial-intelligence-based models including artificial neural networks and support vector machinesThe suggested models predicted the unconfined compressive strength of soils accurately and can be introducedas reliable predictive models in geotechnical engineering.of the proposed models.

Keywords: unconfined compressive strength     artificial neural network     support vector machine     predictive models     regression    

Real-time mobile robot teleoperation via Internet based on predictive control

WANG Shihua, XU Bugong, WANG Shihua, ZHOU Yeming, LIU YunHui

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 3,   Pages 299-306 doi: 10.1007/s11465-008-0049-7

Abstract: To compensate for the network delay and counteract its impact on the teleoperation system, a predictiveForce feedback and a virtual predictive display are introduced to enhance the real-time efficiency of

Keywords: predictive     feedback     virtual predictive     distance     synchronization algorithm    

Mathematical and Predictive Models of SARS Epidemic Disease and Mechanism of Prevention and Control

Liu Yunzhong,Xuan Huiyu,Lin Guoxi

Strategic Study of CAE 2004, Volume 6, Issue 9,   Pages 60-65

Abstract: law of disease propagation and conservation of population statistics, this paper sets up mathematical modelsSecond, it sets up predictive models of SARS epidemic disease using BP artificial neural network.

Keywords: SARS     stability     trail     threshold theory     artificial neural network    

Multi-timescale optimization scheduling of interconnected data centers based on model predictive control

Frontiers in Energy doi: 10.1007/s11708-023-0912-6

Abstract: multi-timescale optimal scheduling model is established for interconnected data centers (IDCs) based on model predictive

Keywords: model predictive control     interconnected data center     multi-timescale     optimized scheduling     distributed    

The CatMath: an online predictive platform for thermal + electrocatalysis

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 12,   Pages 2156-2160 doi: 10.1007/s11705-023-2371-3

Abstract: The catalytic volcano activity models are the quantified and visualized tools of the SabatierThese models can be derived by microkinetic modeling and/or free energy changes in combination with theWith the CatMath, users can request the volcano models for available reactions and analyze their materials

Keywords: CatMath     catalysis     volcano activity plots     Surface Pourbaix Diagrams     online platform    

Extended model predictive control scheme for smooth path following of autonomous vehicles

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 1,   Pages 4-4 doi: 10.1007/s11465-021-0660-4

Abstract: This paper presents an extended model predictive control (MPC) scheme for implementing optimal path following

Keywords: autonomous vehicles     vehicle dynamic modeling     model predictive control     path following     optimization    

machine-learning-based system identification of dynamical systems under control: application towards the model predictive

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 237-250 doi: 10.1007/s11705-021-2058-6

Abstract: ., model predictive control, can offer superior control of key process variables for multiple-input multiple-outputfor nonlinear model predictive control.To showcase this approach, five candidate models for polynomial and interaction features of both outputThis procedure successfully identified system models that enabled effective control in both servo andThis demonstration of how such system models could be identified for nonlinear model predictive control

Keywords: nonlinear model predictive control     black-box modeling     continuous-time system identification     machine    

A review on different theoretical models of electrocaloric effect for refrigeration

Frontiers in Energy 2023, Volume 17, Issue 4,   Pages 478-503 doi: 10.1007/s11708-023-0884-6

Abstract: This paper reviews the electrocaloric effect of ferroelectric materials based on different theoretical models

Keywords: electrocaloric effect     effective Hamiltonian     phase-field modeling     different theoretical models    

Empirical models and design codes in prediction of modulus of elasticity of concrete

Behnam VAKHSHOURI, Shami NEJADI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1,   Pages 38-48 doi: 10.1007/s11709-018-0479-1

Abstract: This study includes: (a) evaluation and comparison of the existing analytical models to estimating theIn addition, a wide range of experimental databases and empirical models to estimate the MOE from compressiveThe results show underestimation of MOE of conventional concrete in majority of the existing models.considering the consistency between density and mechanical properties of concrete, the predicted MOE in the models

Keywords: modulus of elasticity     normal strength normal weight concrete     empirical models     design codes     compressive    

Monitoring checkpoint inhibitors: predictive biomarkers in immunotherapy

Min Zhang, Jingwen Yang, Wenjing Hua, Zhong Li, Zenghui Xu, Qijun Qian

Frontiers of Medicine 2019, Volume 13, Issue 1,   Pages 32-44 doi: 10.1007/s11684-018-0678-0

Abstract: Therefore, doctors urgently need reliable predictive biomarkers for checkpoint inhibitor therapies to

Keywords: immune checkpoint     companion diagnosis     PD-L1     tumor mutation burden     immune score    

Abnormal glycosylated hemoglobin as a predictive factor for glucose metabolism disorders in antipsychotic

XU Leping, JI Juying, DUAN Yiyang, SHI Hui, ZHANG Bin, SHAO Yaqin, SUN Jian

Frontiers of Medicine 2007, Volume 1, Issue 3,   Pages 316-319 doi: 10.1007/s11684-007-0061-z

Abstract: The aim of this study was to observe the changes in glucose metabolism after antipsychotic (APS) therapy, to note the influencing factors, as well as to discuss the relationship between the occurrence of glucose metabolism disorders of APS origin and abnormal glycosylated hemoglobin (HbAc) levels. One hundred and fifty-two patients with schizophrenia, whose fasting plasma glucose (FPG) and 2-h plasma glucose (2hPG) in the oral glucose tolerance test (2HPG) were normal, were grouped according to the HbAc levels, one normal and the other abnormal, and were randomly enrolled into risperidone, clozapine and chlorpromazine treatment for six weeks. The FPG and 2hPG were measured at the baseline and at the end of the study. In the group with abnormal HbA1c and clozapine therapy, 2HPG was higher after the study [(9.5±1.8) mmol/L] than that before the study [(7.2±1.4) mmol/L] and the difference was statistically significant (〈0.01). FPG had no statistically significant difference before and after the study in any group (〉0.05). HbAc levels and drugs contributing to 2HPG at the end of study had statistical cross-action (〈0.01). In the abnormal HbAc group, 2HPG after the study was higher in the clozapine treatment group [(9.5±1.8) mmol/L] than in the risperidone treatment group [(7.4±1.7) mmol/L] and the chlorpromazine treatment group [(7.3±1.6) mmol/L]. The differences were statistically significant (〈0.01). In the normal HbAc group there was no statistically significant difference before and after the study in any group (〉0.05). 2HPG before [(7.1±1.6) mmol/L] and after the study [(8.1±1.9) mmol/L] was higher in the abnormal HbAc group than in the normal HbAc group [(6.2±1.4) mmol/L (6.5±1.4) mmol/L] with the difference being statistically significant (〈0.01 〈0.001). As compared with normal HbAc group, the relative risk (RR) of glucose metabolism disease occurrence was 4.7 in the abnormal HbAc group with the difference being statistically significant (〈0.001). Patients with abnormal HbAc are more likely to have a higher risk of having glucose metabolism disorders after APS treatment.

Keywords: significant difference     occurrence     hemoglobin     risperidone treatment     abnormal    

Managing economic and social profit of cooperative models in three-echelon reverse supply chain for waste

Jian Li, Zhen Wang, Bao Jiang

Frontiers of Environmental Science & Engineering 2017, Volume 11, Issue 5, doi: 10.1007/s11783-017-0999-2

Abstract: The paper investigates cooperative models with different parties in a three-echelon reverse supply chainIn addition, the optimal decisions of four cooperative models and the effect of the market demand of

Keywords: electrical and electronic equipment (WEEE)     Reverse supply chains     Recycle quantity     Social benefit     Cooperative models    

Impact analytical models for earthquake-induced pounding simulation

Kun YE, Li LI

Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 2,   Pages 142-147 doi: 10.1007/s11709-009-0029-y

Abstract: pounding under earthquake has been recently extensively investigated using various impact analytical modelsIn this paper, a brief review on the commonly used impact analytical models is conducted.

Keywords: structural pounding     Hertz model     Kelvin model     nonlinear damping     coefficient of restitution    

The predictive value of chromosome 8p deletion for metastasis of hepatocellular carcinoma: a summary

QIN Lunxiu, TANG Zhaoyou, GUAN Xinyuan, YE Qinghai, JIA Huliang, REN Ning

Frontiers of Medicine 2008, Volume 2, Issue 3,   Pages 211-215 doi: 10.1007/s11684-008-0041-y

Abstract: recent decade, we analyzed the genomic aberrations of the clinical specimens, as well as the metastatic modelsThis novel finding was further confirmed by comparison between nude mice models of HCC with different

Keywords: sensitive genome-wide     prediction     genome-wide microsatellite     frequency     Hepatocellular carcinoma    

Title Author Date Type Operation

Predictive models on photolysis and photoinduced toxicity of persistent organic chemicals

Qing ZHANG

Journal Article

Unconfined compressive strength prediction of soils stabilized using artificial neural networks and support vector machines

Alireza TABARSA, Nima LATIFI, Abdolreza OSOULI, Younes BAGHERI

Journal Article

Real-time mobile robot teleoperation via Internet based on predictive control

WANG Shihua, XU Bugong, WANG Shihua, ZHOU Yeming, LIU YunHui

Journal Article

Mathematical and Predictive Models of SARS Epidemic Disease and Mechanism of Prevention and Control

Liu Yunzhong,Xuan Huiyu,Lin Guoxi

Journal Article

Multi-timescale optimization scheduling of interconnected data centers based on model predictive control

Journal Article

The CatMath: an online predictive platform for thermal + electrocatalysis

Journal Article

Extended model predictive control scheme for smooth path following of autonomous vehicles

Journal Article

machine-learning-based system identification of dynamical systems under control: application towards the model predictive

Journal Article

A review on different theoretical models of electrocaloric effect for refrigeration

Journal Article

Empirical models and design codes in prediction of modulus of elasticity of concrete

Behnam VAKHSHOURI, Shami NEJADI

Journal Article

Monitoring checkpoint inhibitors: predictive biomarkers in immunotherapy

Min Zhang, Jingwen Yang, Wenjing Hua, Zhong Li, Zenghui Xu, Qijun Qian

Journal Article

Abnormal glycosylated hemoglobin as a predictive factor for glucose metabolism disorders in antipsychotic

XU Leping, JI Juying, DUAN Yiyang, SHI Hui, ZHANG Bin, SHAO Yaqin, SUN Jian

Journal Article

Managing economic and social profit of cooperative models in three-echelon reverse supply chain for waste

Jian Li, Zhen Wang, Bao Jiang

Journal Article

Impact analytical models for earthquake-induced pounding simulation

Kun YE, Li LI

Journal Article

The predictive value of chromosome 8p deletion for metastasis of hepatocellular carcinoma: a summary

QIN Lunxiu, TANG Zhaoyou, GUAN Xinyuan, YE Qinghai, JIA Huliang, REN Ning

Journal Article