Short-term forecasting approach of single well production based on multi-intelligent agent hybrid model.

The short-term prediction of single well production can provide direct data support for timely guiding the optimization and adjustment of oil well production parameters and studying and judging oil well production conditions. In view of the coupling effect of complex factors on the daily output of a single well, a short-term prediction method based on a multi-agent hybrid model is proposed, and a short-term prediction process of single well output is constructed. First, CEEMDAN method is used to decompose and reconstruct the original data set, and the sliding window method is used to compose the data set with the obtained components. Features of components by decomposition are described as feature vectors based on values of fuzzy entropy and autocorrelation coefficient, through which those components are divided into two groups using cluster algorithm for prediction with two sub models. Optimized online sequential extreme learning machine and the deep learning model based on encoder-decoder structure using self-attention are developed as sub models to predict the grouped data, and the final predicted production comes from the sum of prediction values by sub models. The validity of this method for short-term production prediction of single well daily oil production is verified. The statistical value of data deviation and statistical test methods are introduced as the basis for comparative evaluation, and comparative models are used as the reference model to evaluate the prediction effect of the above multi-agent hybrid model. Results indicated that the proposed hybrid model has performed better with MAE value of 0.0935, 0.0694 and 0.0593 in three cases, respectively. By comparison, the short-term prediction method of single well production based on multi-agent hybrid model has considerably improved the statistical value of prediction deviation of selected oil well data in different periods. Through statistical test, the multi-agent hybrid model is superior to the comparative models. Therefore, the short-term prediction method of single well production based on a multi-agent hybrid model can effectively optimize oilfield production parameters and study and judge oil well production conditions.

The Association between the Participation of Quality Control Circle and Patient Safety Culture.

Promoting patient safety culture (PSC) is a critical issue for healthcare providers. Quality control circles program (QCCP) can be used as an effective tool to foster long-lasting improvements on the quality of medical institution. The effect of QCCP on PSC is still unknown. This was a retrospective study conducted with matching data. A safety attitudes questionnaire (SAQ) was used for the evaluation of PSC. The association between all scores of six subscales of SAQ and the participation QCCP were analyzed with both the Mann-Whitney and Kruskal-Wallis tests. A total of 2718 valid questionnaires were collected. Most participants of QCCP were females (78.9%), nurses (52.6%), non-supervisors (92.2%), aged <40 years old (64.8%), degree of specialist or university graduates (78%), and with work experience of <10 years (61.6%). Of all participants, the highest scores were in the dimension of safety climate (74.11 ± 17.91) and the lowest scores in the dimension of working conditions (68.90 ± 18.84). The participation of QCCP was associated with higher scores in four dimensions, namely: teamwork climate (p = 0.006), safety climate (p = 0.037), perception of management (p = 0.009), and working conditions (p = 0.015). The participation or not of QCCP had similar results in the dimension of job satisfaction and stress recognition. QCCP was associated with SAQ in subjects with the following characteristics: female, nurse, non-supervisor, aged >50 years old, higher education degrees and with longer working experiences in the hospital. In this first study on the association between each dimension of SAQ and the implementation of QCCP, we found that QCCP interventions were associated with better PSC. QCCP had no benefits in the dimensions of job satisfaction and stress recognition.

Prevalence and relationship of hypertriglyceridaemic-waist phenotype and type 2 diabetes mellitus among a rural adult Chinese population.

OBJECTIVE: Limited information is available on the prevalence and effect of hypertriglyceridaemic-waist (HTGW) phenotype on the risk of type 2 diabetes mellitus (T2DM) in rural populations. DESIGN: In the present cross-sectional study, we investigated the prevalence of the HTGW phenotype and T2DM and the strength of their association among rural adults in China. SETTING: HTGW was defined as TAG >1·7 mmol/l and waist circumference (WC) ≥90 cm for males and ≥80 cm for females. Logistic regression analysis yielded adjusted odds ratios (aOR) relating risk of T2DM with HTGW.ParticipantsAdults (n 12 345) aged 22·83-92·58 years were recruited from July to August of 2013 and July to August of 2014 from a rural area of Henan Province in China. RESULTS: The prevalence of HTGW and T2DM was 23·71 % (males: 15·35 %; females: 28·88 %) and 11·79 % (males: 11·15 %; females: 12·18 %), respectively. After adjustment for sex, age, smoking, alcohol drinking, blood pressure, physical activity and diabetic family history, the risk of T2DM (aOR; 95 % CI) was increased with HTGW (v. normal TAG and WC: 3·23; CI 2·53, 4·13; males: 3·37; 2·30, 4·92; females: 3·41; 2·39, 4·85). The risk of T2DM with BMI≥28·0 kg/m2, simple enlarged WC and simple disorders of lipid metabolism showed an increasing tendency (aOR=1·31, 1·75 and 2·32). CONCLUSIONS: The prevalence of HTGW and T2DM has reached an alarming level among rural Chinese people, and HTGW is a significant risk factor for T2DM.

Normal and perturbed endothelial cells from canine femoral arteries and femoral veins exhibit heterogeneity in hemostatic properties and growth characteristics.

BACKGROUND: We sought to examine the heterogeneity of endothelial cells from the same anatomic site but different vascular systems and described von Willebrand factor (vWF) release and morphological change in response to injury-associated factor in femoral vessels from canine in vitro. METHODS: Levels of hemostatic factors (vWF, plasminogen activator inhibitor type 1(PAI-1), antithrombin III (ATIII), in tissue sections and cultured endothelial cells of canine femoral arteries and canine femoral veins were compared by the immunohistochemistry technique. In addition to comparing cell growth density and cell protein contents, cultured femoral arterial endothelial cells (FAECs) and cultured femoral venous endothelial cells (FVECs) were incubated with a series concentration of basic fibroblast factor (bFGF) (1, 10, 100 ng/ml) for up to 48 hours to test the amount of vWF secretion and morphological change. RESULTS: Both in tissue sections and cultured cells, the levels of vWF are higher in FVECs than in FAECs. We were unable to differentiate the level of PAI-1 and ATIII difference between FAECs and FVECs. bFGF (10 ng/ml) significantly increased vWF secretion from cultured FAECs but not from FVECs. The size of cultured FAECs is smaller than of FVECs; however, FAECs have higher amounts of protein contents than FVECs. CONCLUSIONS: These comparative studies provide evidence indicating that the characteristics of FVECs differ from those of FAECs. These differences may be indicated heterogeneity with either inherited or acquired thrombotic disease.