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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    

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Modeling, simulation, and prediction of global energy indices: a differential approach

Stephen Ndubuisi NNAMCHI, Onyinyechi Adanma NNAMCHI, Janice Desire BUSINGYE, Maxwell Azubuike IJOMAH, Philip Ikechi OBASI

Frontiers in Energy 2022, Volume 16, Issue 2,   Pages 375-392 doi: 10.1007/s11708-021-0723-6

Abstract: Modeling, simulation, and prediction of global energy indices remain veritable tools for econometric, engineering, analysis, and prediction of energy indices. Thus, this paper differentially modeled, simulated, and non-differentially predicated the global energy indices. The state-of-the-art of the research includes normalization of energy indices, generation of differential rate terms, and regression of rate terms against energy indices to generate coefficients and unexplained terms. On imposition of initial conditions, the solution to the system of linear differential equations was realized in a Matlab environment. There was a strong agreement between the simulated and the field data. The exact solutions are ideal for interpolative prediction of historic data. Furthermore, the simulated data were upgraded for extrapolative prediction of energy indices by introducing an innovative model, which is the synergy of deflated and inflated prediction factors. The innovative model yielded a trendy prediction data for energy consumption, gross domestic product, carbon dioxide emission and human development index. However, the oil price was untrendy, which could be attributed to odd circumstances. Moreover, the sensitivity of the differential rate terms was instrumental in discovering the overwhelming effect of independent indices on the dependent index. Clearly, this paper has accomplished interpolative and extrapolative prediction of energy indices and equally recommends for further investigation of the untrendy nature of oil price.

Keywords： energy indices     differential model     normalization     simulation     inflation/deflation     predictive factor and    

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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    

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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    

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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 Sabatier principle for heterogeneous catalysis, which can depict the intrinsic activity optima and trends of a catalytic reaction as a function of the reaction descriptors, i.e., the bonding strengths of key reaction species. These models can be derived by microkinetic modeling and/or free energy changes in combination with the scaling relations among the reaction intermediates. Herein, we introduce the CatMath—an online platform for generating a variety of common and industrially important thermal + electrocatalysis. With the CatMath, users can request the volcano models for available reactions and analyze their materials of interests as potential catalysts. Besides, the CatMath provides the function of the online generation of Surface Pourbaix Diagram for surface state analysis under electrocatalytic conditions, which is an essential step before analyzing the activity of an electrocatalytic surface. All the model generation and analysis processes are realized by cloud computing via a user-friendly interface.

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

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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    

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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-outputblack-box nonlinear continuous-time multiple-input multiple-output system models for nonlinear model predictiveoutput and manipulated variables were trained on simulated data and integrated into a nonlinear model predictiveThis 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    

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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    

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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: Hepatocellular carcinoma (HCC) represents an extremely poor prognostic cancer, which is mainly due to the high frequency of metastasis/recurrence after surgical operation. Exploring the molecular mechanisms involved in HCC metastasis could be helpful in the prediction and early diagnosis of HCC recurrence and could also provide new therapeutic targets for HCC metastasis. In the recent decade, we analyzed the genomic aberrations of the clinical specimens, as well as the metastatic models and cell lines of human HCC to identify the genetic markers related to HCC metastasis and to verify their clinical values in the prediction and control of metastasis of HCC. Using the comparative genomic hybridization (CGH) technique, we compared the differences of chromosomal aberrations between primary HCC tumors and their matched metastatic lesions, and found that chromosome 8p deletions might contribute to HCC metastasis. This novel finding was further confirmed by comparison between nude mice models of HCC with different metastatic potentials. By the more sensitive genome-wide microsatellite analysis, 8p deletion was defined to 8p23.3 and 8p11.2, which are two likely regions harboring metastasis-related genes of HCC. Using ‘8p-specific’ microarrays, two novel metastatic suppressors ( and ) were identified, and were proven to suppress invasion and metastasis of HCC. Clinical studies indicate that 8p deletion detected in HCC or circulating plasma DNA of patients is a useful predictor for metastatic recurrence and prognosis, even for patients with early stage HCC. These novel findings are regarded as important advances in the study of the molecular mechanisms of HCC metastasis, which provide not only a holistic view on the molecular cytogenetic bases of HCC metastasis, but also candidate regions for further study to identify metastatic suppressor genes.

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

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Role of the forkhead transcription factor FOXO-FOXM1 axis in cancer and drug resistance

Fung Zhao, Eric W.-F. Lam

Frontiers of Medicine 2012, Volume 6, Issue 4,   Pages 376-380 doi: 10.1007/s11684-012-0228-0

Abstract: Recent research shows that the forkhead transcription factor FOXM1 is a direct transcriptional target

Keywords： FOXO3a     FOXM1     transcription factor     cancer     drug resistance     tumorigenesis    

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Predictive Analysis and Observational Construction for aLarge-Scale Underground Powerhouse Cavern Complex

Wang Yisen,Liu Sihong

Strategic Study of CAE 2007, Volume 9, Issue 3,   Pages 35-40

Abstract:

In this paper, the predictive analysis and observational constructionThe predictive analysis was carried out in three dimensions by FEM that simulated the actual staged excavation

Keywords： underground cavern complex     predictive analysis     observational construction     rock supportdesign    

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High Precision Adaptive Predictive Control for Cruise Missile

Sun Mingwei,Chen Zengqiang,Yuan Zhuzhi,Ren Qiang,Yang Ming

Strategic Study of CAE 2005, Volume 7, Issue 10,   Pages 23-27

Abstract: their discrete models are served as controlled plant for recursive least square (RLS) based adaptive predictiveOn the basis of missile’s characteristics, generalized predictive control (GPC) is used in innerattitude loop, and an integral form of predictive control is adopted in outter trajectory loop.

Keywords： cruise missile     adaptive control     model based predictive control     robustness    

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Frequency-domain-based Robustness Analysis for PID Generalized Predictive Control

Wang Fanzhen,Chen Zengqiang,Yao Xiangfeng,Yuan Zhuzhi

Strategic Study of CAE 2006, Volume 8, Issue 10,   Pages 66-70

Abstract:

The closed-loop feedback structure of PID generalized predictive control (PID - GPC) is proposed,

Keywords： predictive control     robustness     frequency domain     small-gain criterion     PID control    

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LSSVM-based approach for refining soil failure criteria and calculating safety factor of slopes

Shiguo XIAO; Shaohong LI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 7,   Pages 871-881 doi: 10.1007/s11709-022-0863-8

Abstract: failure criteria of practical soil mass are very complex, and have significant influence on the safety factorto determine the failure criterion, the limit equilibrium method can be used to calculate the safety factorAnalysis of results of the safety factor of two three-dimensional homogeneous slopes shows that the maximum

Keywords： slope stability     safety factor     failure criterion     least square support vector machine    

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lncR-GAS5 upregulates the splicing factor to impair endothelial autophagy, leading to atherogenesis

Frontiers of Medicine 2023, Volume 17, Issue 2,   Pages 317-329 doi: 10.1007/s11684-022-0931-4

Abstract: Moreover, serine/arginine-rich splicing factor 10 (SRSF10) knockdown increased the LC3II/LC3IMechanistically, lncR-GAS5 regulated the downstream splicing factor SRSF10 to impair autophagy

Keywords： lncR-GAS5     miR-193-5p     splicing factor SRSF10     autophagy     atherogenesis    

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Title Author Date Type Operation

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

Modeling, simulation, and prediction of global energy indices: a differential approach

Stephen Ndubuisi NNAMCHI, Onyinyechi Adanma NNAMCHI, Janice Desire BUSINGYE, Maxwell Azubuike IJOMAH, Philip Ikechi OBASI

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

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

Monitoring checkpoint inhibitors: predictive biomarkers in immunotherapy

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

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

Role of the forkhead transcription factor FOXO-FOXM1 axis in cancer and drug resistance

Fung Zhao, Eric W.-F. Lam

Journal Article

Predictive Analysis and Observational Construction for aLarge-Scale Underground Powerhouse Cavern Complex

Wang Yisen,Liu Sihong

Journal Article

High Precision Adaptive Predictive Control for Cruise Missile

Sun Mingwei,Chen Zengqiang,Yuan Zhuzhi,Ren Qiang,Yang Ming

Journal Article

Frequency-domain-based Robustness Analysis for PID Generalized Predictive Control

Wang Fanzhen,Chen Zengqiang,Yao Xiangfeng,Yuan Zhuzhi

Journal Article

LSSVM-based approach for refining soil failure criteria and calculating safety factor of slopes

Shiguo XIAO; Shaohong LI

Journal Article

lncR-GAS5 upregulates the splicing factor to impair endothelial autophagy, leading to atherogenesis

Journal Article