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Aims The study sought to investigate the association between admission systolic blood pressure (SBP) and 1‐year clinical outcomes in patients hospitalized for heart failure (HF) and in subgroups. Methods This study was based on the China Patient‐centred Evaluative Assessment of Cardiac Events Prospective Heart Failure Study, which prospectively enrolled patients hospitalized for HF in 52 hospitals from 20 provinces in China between August 2016 and May 2018. Patients were divided into four groups according to the quartiles of SBP at admission. The multivariable Cox proportional hazards regression models were fitted to examine the association between admission SBP and all‐cause death and HF readmission within 1 year after the index hospitalization. Restricted cubic splines were used to explore the non‐linear association between SBP and the clinical outcomes. Results Among 4896 patients, those with lower admission SBP were younger, more likely to be male, have left ventricular ejection fraction

Graphs have been widely applied in many real applications like knowledge mining of social networks, pattern recognition, biological analysis, etc. However, precise matching for large graphs has been proven to be a NP-hard problem. In the context, an efficient similarity join method is proposed to quickly seek similar candidate graph pairs from a large number of graphs in the paper. It is a new method, where local sensitive hash (LSH) and Minhash are used to sharply reduce the time needed to compare candidate graph pairs as well as improve the quality of similarity matching through graph associated vertex degree matrix. Furthermore, the bound filtering strategy is adopted to avoid invalid comparing between graph pairs, which can improve graph similarity join efficiency. To test the advantages of our method, various experiments on synthetic data and real data were conducted. The results of these experiments illustrate that the method in this paper has both good efficiency and effectiveness. In terms of the running time and the precision of the algorithm, the new method yields better results than the other similar methods.

In this study, we discuss the application of U-Pb dating on U-rich, common-Pb bearing grossular-rich garnet and the issues of common Pb correction. Grossular-rich garnet samples were collected from the Baoshan and Huangshaping areas of the Pingbao skarn district (Hunan, South China). The Baoshan garnet comprises Gr64.3 And34.0 to And99.0 Gr0.2 (Gr = Grossular ; And = Andradite), with minor spessartine (0.43–1.45%), almandine (0–0.61%) and pyrope (0.01–0.91%). The Huangshaping 304 garnet comprises Gr 41.7 And56.0 to Gr70.2 And25.9 with minor spessartine (1.42–2.10%), whereas the Huangshaping 301 garnet comprises Gr62.0 And26.6 Spe11.2 to Gr74.5 And20. 9 Pyr2.5 Spe2.1 (Spe = Spessartine, Pyr = Pyrope). The Baoshan garnet grains are subhedral to euhedral with well-developed core-rim textures and contain approximately 1–10 ppm U. The Huangshaping 304 garnet is also euhedral with grains size ranging from several to tens of millimeters. The core-rim textured garnet grains are compacted together with interstitial quartz and contain about 5–10 ppm U. The Huangshaping 301 garnet is anhedral to tabular with interstitial quartz and magnetite, and contains up to 579 ppm U. In-situ U-Pb dating of the Baoshan, Huangshaping 304 and 301 garnet samples yielded consistent anchored y-intercept ages at 162.6 ± 2.9 Ma (n = 60; MSWD = 1.5); 160.2 ± 1.5 Ma (n = 59; MSWD = 1.9) and 160.9 ± 0.3 Ma (n = 60; MSWD = 4.1), respectively. These ages are consistent with the new and published zircon and titanite U-Pb ages (162–160 Ma), indicating that the garnet U-Pb ages are reliable and the technique is robust. We suggest that the non-U-bearing mineral correction has involved in the third-party common Pb ratio, which is believed to be a better correction for the system common Pb.

This study aims to examine the association between the Kansas City Cardiomyopathy Questionnaire (KCCQ)-12 score and the 30-day and 1-year rates of composite events of cardiovascular death and heart failure (HF) rehospitalization in patients with acute HF.Few studies reported the prognostic effects of KCCQ in acute HF.This study prospectively enrolled adult patients hospitalized for HF from 52 hospitals in China and collected the KCCQ-12 score within 48 hour of index admission. The study used multivariable Cox regression to examine the association between KCCQ-12 score and 30-day and 1-year composite events and was further stratified by new-onset HF and acutely decompensated chronic heart failure (ADCHF). Subgroup analyses were performed to explore the potential heterogeneity. The study evaluated the incremental prognostic value of KCCQ-12 score over N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels and established risk scores by C-statistics, net reclassification improvement, and integrated discrimination improvement.Among 4,898 patients, 29.4% had new-onset HF. After adjustment, each 10-point decrease in the KCCQ-12 score was associated with a 13% increase in 30-day risk and a 7% increase in 1-year risk. The associations were consistent regardless of new-onset HF or ADCHF, age, sex, left ventricular ejection fraction, New York Heart Association functional class, NT-proBNP level, comorbidities, and renal function. Adding KCCQ-12 score to NT-proBNP and established risk scores significantly improved prognostic capabilities measured by C-statistics, net reclassification improvement, and integrated discrimination improvement.In acute HF, a poor KCCQ-12 score predicted short- and long-term risks of cardiovascular death and HF rehospitalization. KCCQ-12 could serve as a convenient tool for rapid initial risk stratification and provide additional prognostic value over NT-proBNP and established risk scores.

Based on the historical data of Fishery department, we design the early warning system for fishing vessels. For the system, the following systems are proposed: an overall research route, a prediction algorithm, its optimization research route, dynamic maritime experience database and early warning algorithm. The system can be used directly to guide the development of practical application system of early warning of fishing vessel risk.

Aiming to aid Electric-Power Industry to accurately understand users, hybrid learning model based ensemble learning algorithms for recognizing user to be sensitive to electric charge is proposed in this paper. On the basis of big data presented by CCF competition sponsor in China, with some excellent technology or algorithm such as JieBa, SFFS, etc., we extract many key features from data set and successfully draw a portrait for users who pay close attention to electric charge. Furthermore, machine learning algorithms and the strategy selection model related to them are investigated. The feasibility that hybrid learning model combining several ensemble learning algorithms can substantially improve classification accuracy are proved from theoretical level. Then the details of implementing hybrid learning model are described in the paper. Lastly, the hybrid learning model named Stacking is achieved, which yields better performance in contrast to the state-of-the-art competitors. The experimental results indicate that Stacking has both high precision and recall with 0.8 and 0.85 respectively. Furthermore the F1 score of Stacking evaluation is 0.823.

People often feel uncomfortably warm and sweaty in their workspace after commuting there by walking or cycling in summer. This is because body heat stored during the commute takes a substantial time to dissipate. People complaining about this uncomfortable transition may cause operators to lower the thermostat setpoint, causing long-term overcooling and wasting energy. In addition, space cooling is slow, requiring minutes to take effect. This study addresses how to improve comfort in the transition by increasing the availability of convective cooling, where the response time is in seconds. Thirty-five subjects (17 men and 18 women) dressed in 0.6 clo entered a test room after exercising at 4.4 met for 15 min in 30 °C. The exercise emulates the commute activity in summer. The test room was controlled to 24, 26, and 28 °C, with and without the option of cooling using fan-produced horizontal airflow. Subjects were sedentary for 60 min, during which subjective thermal responses and physiological responses were measured. The enhanced convective and evaporative heat loss caused by fans significantly shortened the time needed to reach thermal comfort after the exercise-induced thermal stress and improved the final comfort level. Compared to a typical indoor condition of 24 °C and still air, 26 and 28 °C with fans provided equal or better comfort more quickly, and inherently required much less energy to do so. Our study suggests that personally controlled air movement should be available in spaces where thermal and metabolic down-steps take place.

To investigate the survival time and affecting factors among AIDS patients under antiretroviral treatment, between 2008 and 2013 in Liangshan, Sichuan province.Observational retrospective cohort study method was applied. AIDS patients were chosen from China's national comprehensive prevention and control management system of AIDS in Liangshan, during 2008-2013. Related information on demographics, source of infection, pathogenesis, treatment and death was collected. Cox proportional hazards model was applied to analyze the factors that might affect the survival on patients.Among the 8 321 cases, ranging from 18 to 87.5 years old (mean age as 34.2 ± 9.8), 3 021 died and 3 721 patients had received HAART treatment. The total mortality rate dropped from 43.9/100 person-years to 20.7/100 person-years from 2008 to 2013. In the treatment group, mortality rate dropped from 27.3/100 person-years to 5.1/100 person-years, while in the untreated group it remained high-between 45.0/100-50.8/100 person-years. Proportion for the treatment coverage increased gradually, from 5.8% in 2008 to 54.5% in 2013. Median survival time of all the AIDS patients was 35.1 months, but 18.4 months in the untreated group. Survival of all the AIDS patients was associated with factors as: treatment, age when AIDS diagnosis was made and route of HIV infection (P0.05). The risk of death among untreated patients was 5.78 times to the treated ones, but did not seem to relate to gender or nationality (P0.05). Survival of the treated group was associated with factors as gender, age when AIDS diagnosis was made, nationality, route of HIV infection, CD4(+) T cell count when AIDS diagnosis was made, CD4(+) T cell count at treatment baseline, anemia at the treatment baseline (P0.05). Survival of the untreated group was mainly associated with age when AIDS was diagnosed (P0.05) while other factors did not seem to be significantly related (P0.05).Antiretroviral therapy appeared an important factor that affecting the survival of AIDS patients, timely treatment and CD4(+) T cell count provided at the baseline for treatment, were two key factors that affecting the outcome of treatment. Our findings pointed out that tactic factors as: strengthening the detection, monitoring on CD4(+) T cell count, early diagnose and treatment, expanding the coverage of antiretroviral therapy, and appropriate timing for treatment etc., were important ways to enhance the effects of treatment, so as to reduce the mortality rate and prolong the time of survival.