An Optimal Combined SVM Model for Short-term Wind Speed Forecasting

Bai, Dan-Dan,He, Jing-Han,Tian, Wen-Qi,Wang, Xiaojun,Tony, Yip 대한전기학회 2014 The Journal of International Council on Electrical Vol.4 No.4

A high precise wind speed forecasting method is one of current wind power research hotspots. This paper presented a combined wind speed forecasting model based on support vector machine (SVM) optimized by particle swarm optimization (PSO) using historical data of wind speed at the site. The model took the results of back propagation neural network (BPNN), radial basis function neural network (RBFNN), genetic neural network (GNN) and wavelet neural network (WNN) as the inputs, and adopted the actual wind speed as the output. Meanwhile, particle swarm optimization was used to optimize model parameters. Apply this model in hourly prediction of wind speed using historical data from a wind farm in Shanxi Province. It is observed that its prediction accuracy was not only higher than that of any of its single network but higher than traditional linear combined forecasting model and neural network combined forecasting model.

IMPROVED HYDROGEN YIELD OF RHODOBACTER SPHAEROIDES BY ADDING ELECTRON ACCEPTORS

Li Bai,Dan An,Xueqing Wang,Jun Hu,Honghui Yang,Liejin Guo 한국신재생에너지학회 2015 AFORE Vol.2015 No.11

Characteristics and Impact Factors of Renal Threshold for Glucose Excretion in Patients with Type 2 Diabetes Mellitus

Xiao-Dan Yue,Jing-Yu Wang,Xin-Rong Zhang,Ju-Hong Yang,Chun-Yan Shan,Miao-Yan Zheng,Hui-Zhu Ren,Yi Zhang,Shao-Hua Yang,Zhen-Hong Guo,Bai Chang,Bao-Cheng Chang 대한의학회 2017 Journal of Korean medical science Vol.32 No.4

Sodium glucose co-transporter 2 (SGLT-2) inhibitors are newly developed but promising medicine for type 2 diabetes. However, patients with a different renal threshold for glucose excretion (RTG) may have a different reaction to this medicine. Therefore, the objective of this study was to investigate the characteristics of RTG and its impact factors in patients with type 2 diabetes mellitus (T2DM). The clinical and laboratory data of 36 healthy individuals and 168 in-hospital patients with T2DM were collected and analyzed, RTG was calculated using blood glucose (BG) measured by dynamic BG monitoring, urinary glucose excretion (UGE) and estimated glomerular filtration rate (eGFR). The characteristics of RTG were investigated. The risk factors for high RTG were analyzed using non-conditional logistic regression analysis. Our results found that RTG of the T2DM group was higher than that of the healthy individuals (P < 0.05); and 22.22% from the healthy individuals group but 58.33% from the T2DM group had high RTG. Age, duration of diabetes, body mass index (BMI), and homeostasis model assessment insulin resistance index (HOMA-IR) were independently associated with high RTG (P < 0.05). Further stratified analysis revealed that RTG in T2DM patients increased with age, duration of diabetes, and BMI. In conclusion, RTG is increased in patients with T2DM, especially in those with longer diabetic duration, higher BMI, and those who are older. Therefore, these patients may be more sensitive to SGLT-2 inhibitors.

Sparse Principal Component Analysis For Feature Selection of Multiple Physiological Signals from Flight Task

Dongbo Bai,Wei Liming,Wei Chan,Qi Wu,Dan Huang,Shan Fu 제어로봇시스템학회 2015 제어로봇시스템학회 국제학술대회 논문집 Vol.2015 No.10

Sparse principal component analysis (SPCA) imposes extra constraints or penalty terms to the standard PCA to achieve sparsity. In this paper, we introduce an efficient algorithm for finding an effective sparse feature principal component (PC) of multiple physiological signals. The algorithm consists of two stages. In the first stage, it identifies an active index set with a desired cardinality corresponding to the nonzero entries of the PC. In the second one, it uses the power iteration method to find the best direction with respect to the active index set. Experiments on randomly generated data and multiple physiological signals datasets show that our algorithm is very fast, especially on large and sparse data sets, while the numerical quality of the solution is comparable to the state-of-art algorithm.

Promoter demethylation mediates the expression of ZNF645, a novel cancer/testis gene

( Gang Bai ),( Yun Qiang Liu ),( Hao Zhang ),( Dan Su ),( Da Chang Tao ),( Yuan Yang ),( Yong Xin Ma ),( Si Zhong Zhang ) 생화학분자생물학회 (구 한국생화학분자생물학회) 2010 BMB Reports Vol.43 No.6

Cancer/testis (CT) antigens exhibit highly tissue-restricted expression and are considered promising targets for cancer vaccines. Here we identified a novel CT gene ZNF645 which restrictively expresses in normal human testes and lung cancer patients (68.3%). To investigate the promoter methylation status of ZNF645, we carried out bisulfite genomic sequencing and found that the CpG island in its promoter was heavily methylated in normal lung tissues without the expression of ZNF645, whereas there was high demethylation in normal human testes and lung carcinoma tissues with its expression. Also ZNF645 could be remarkably activated in A549 and HEK293T cells treated by DNA demethylation agent 5`-aza-2`-deoxycytidine. And the dual luciferase assay revealed that the promoter activity of the ZNF645 was inhibited by methylation of the CpG island region. Therefore, we proposed that ZNF645 is a CT gene and activated in human testis and lung cancers by demethylation of its promoter region. [BMB reports 2010; 43(6): 400-406]

Cyclooxygenase-2 Inhibitor Parecoxib Was Disclosed as a PPAR-γ Agonist by In Silico and In Vitro Assay

( Bin Xiao ),( Dan-dan Li ),( Ying Wang ),( Eun La Kim ),( Na Zhao ),( Shang-wu Jin ),( Dong-hao Bai ),( Li-dong Sun ),( Jee H. Jung ) 한국응용약물학회 2021 Biomolecules & Therapeutics(구 응용약물학회지) Vol.29 No.5

In a search for effective PPAR-γ agonists, 110 clinical drugs were screened via molecular docking, and 9 drugs, including parecoxib, were selected for subsequent biological evaluation. Molecular docking of parecoxib to the ligand-binding domain of PPAR-γ showed high binding affinity and relevant binding conformation compared with the PPAR-γ ligand/antidiabetic drug rosiglitazone. Per the docking result, parecoxib showed the best PPAR-γ transactivation in Ac2F rat liver cells. Further docking simulation and a luciferase assay suggested parecoxib would be a selective (and partial) PPAR-γ agonist. PPAR-γ activation by parecoxib induced adipocyte differentiation in 3T3-L1 murine preadipocytes. Parecoxib promoted adipogenesis in a dose-dependent manner and enhanced the expression of adipogenesis transcription factors PPAR-γ, C/EBPα, and C/EBPβ. These data indicated that parecoxib might be utilized as a partial PPAR-γ agonist for drug repositioning study.

A Novel GSMC-based ACV Trajectory Tracking Under Unknown Disturbance Upper Bound and Time-varying Model Coefficients

Mingyu Fu,Dan Bai,Hanbo Deng,Lijing Dong 제어·로봇·시스템학회 2023 International Journal of Control, Automation, and Vol.21 No.4

In this paper, a novel global sliding mode controller (GSMC) with a comprehensive observer is used to solve the problems of time-varying coefficients, modeling errors and disturbance with unknown upper bound in the trajectory tracking control of the air-cushion vehicle (ACV). Considering the multiple resistance coefficients that change with the motion state in the ACV’s dynamic model, a comprehensive observer is used to estimate and compensate for the model uncertainty in real time. An adaptive disturbance estimation law without disturbance upper bound is given to compensate for the total disturbance. On the basis of real-time compensation of model uncertainty by adaptive estimation law, a new GSMC with hyperbolic tangent function is proposed to track the ACV’s trajectory. The interconnected system of observer and trajectory tracking controller is shown to have enhanced robustness. Finally, simulations verify the effectiveness of the proposed control approaches.

Effect of Sn Micro-Alloying on Recrystallization Nucleation and Growth Processes of Ferritic Stainless Steels

Tong He,Yang Bai,Xiuting Liu,Dan Guo,Yandong Liu 대한금속·재료학회 2018 METALS AND MATERIALS International Vol.24 No.4

We investigated the Effect of Sn micro-alloying on recrystallization nucleation and growth processes of ferritic stainlesssteels. The as-received hot rolled sheets were cold rolled up to 80% reduction and then annealed at 740–880 °C for 5 min. The cold rolling and recrystallization microstructures and micro-textures of Sn-containing and Sn-free ferritic stainless steelswere all determined by electron backscatter diff raction. Our Results show that Sn micro-alloying has important Effects onrecrystallization nucleation and growth processes of ferritic stainless steels. Sn micro-alloying conduces to grain fragmentationin the deformation band, more fragmented grains are existed in Sn-containing cold rolled sheets, which provides moresites for recrystallization nucleation. Sn micro-alloying also promotes recrystallization process and inhibits the growth ofrecrystallized grains. The recrystallization nucleation and growth mechanism of Sn-containing and Sn-free ferritic stainlesssteels are both characterized by orientation nucleation and selective growth, but Sn micro-alloying promotes the formation ofγ-oriented grains. Furthermore, Sn micro-alloying contributes to the formation of Σ13b CSL boundaries and homogeneousγ-fi ber texture. Combining the results of microstructure and micro-texture, the formability of Sn-containing ferritic stainlesssteels will be improved to some extent.

Quinetides: diverse posttranslational modified peptides of ribonuclease-like storage protein from Panax quinquefolius as markers for differentiating ginseng species

Qiang Zhao,Yunpeng Bai,Dan Liu,Nan Zhao,Huiyuan Gao,Xiaozhe Zhang 고려인삼학회 2020 Journal of Ginseng Research Vol.44 No.5

Background: Peptides have diverse and important physiological roles in plants and are ideal markers for species identification. It is unclear whether there are specific peptides in Panax quinquefolius L. (PQ). The aims of this study were to identify Quinetides, a series of diverse posttranslational modified native peptides of the ribonuclease-like storage protein (ginseng major protein), from PQ to explore novel peptide markers and develop a new method to distinguish PQ from Panax ginseng. Methods: We used different fragmentation modes in the LTQ Orbitrap analysis to identify the enriched Quinetide targets of PQ, and we discovered Quinetide markers of PQ and P. ginseng using ultrahigh-performance liquid chromatography-quadrupole time-of-flight mass spectrometry analysis. These “peptide markers” were validated by simultaneously monitoring Rf and F11 as standard ginsenosides. Results: We discovered 100 Quinetides of PQ with various post-translational modifications (PTMs), including a series of glycopeptides, all of which originated from the protein ginseng major protein. We effectively distinguished PQ from P. ginseng using new “peptide markers.” Four unique peptides (Quinetides TP6 and TP7 as markers of PQ and Quinetides TP8 and TP9 as markers of P. ginseng) and their associated glycosylation products were discovered in PQ and P. ginseng. Conclusion: We provide specific information on PQ peptides and propose the clinical application of peptide markers to distinguish PQ from P. ginseng.

Effects of PLCE1 Gene Silencing by RNA Interference on Cell Cycling and Apoptosis in Esophageal Carcinoma Cells

Zhao, Li,Wei, Zi-Bai,Yang, Chang-Qing,Chen, Jing-Jing,Li, Dan,Ji, Ai-Fang,Ma, Liang Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.13

Esophageal squamous cell carcinoma (ESCC) is one of the most malignancies with a poor prognosis. The phospholipase $C{\varepsilon}$ gene (PLCE1) encodes a novel ras-related protein effector mediating the effects of R-Ras on the actin cytoskeleton and membrane protrusion. However, molecular mechanisms pertinent to ESCC are unclear. We therefore designed PLCE1-special small interfering RNA and transfected to esophageal squamous cell (EC) 9706 cells to investigat the effects of PLCE1 gene silencing on the cell cycle and apoptosis of ESCC and indicate its important role in the development of ESCC. Esophageal cancer tissue specimens and normal esophageal mucosa were obtained and assayed by immunohistochemical staining to confirm overexpression of PLCE1 in neoplasias. Fluorescence microscopy was used to examine transfection efficiency, while the result of PLCE1 silencing was examined by reverse transcription (RT-PCR). Flow cytometry and annexin V apoptosis assays were used to assess the cell cycle and apoptosis, respectively. Expression of cyclin D1 and caspase-3 was detected by Western-blotting. The level of PLCE1 protein in esophageal cancer tissue was significantly higher than that in normal tissue. After transfection, the expression of PLCE1 mRNA in EC 9706 was significantly reduced, compared with the control group. Furthermore, flow cytometry results suggested that the PLCE1 gene silencing arrested the cell cycle in the G0/G1 phase; apoptosis was significantly higher than in the negative control group and mock group. PLCE1 gene silencing by RNAi resulted in decreased expression of cyclin D1 and increased expression of caspase-3. Our study suggests that PLCE1 may be an oncogene and play an important role in esophageal carcinogenesis through regulating proteins which control cell cycling and apoptosis.