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Background The patterns of depressive symptom change during the first month after discharge, as well as their prognostic implications, and predictors of persistent or new‐onset depressive symptoms are not well characterized. Methods and Results We included patients hospitalized for heart failure undergoing Patient Health Questionnaire‐2 before discharge and at 1 month after discharge in a multicenter prospective cohort. We characterized 4 patterns of change in depressive symptoms—persistent, new‐onset, remitted depressive symptoms, and no depressive symptom—and examined the associations between the 4 patterns and 1‐year clinical outcomes. We analyzed the factors associated with persistent or new‐onset depressive symptoms. A total of 4130 patients were included. Among 1175 (28.5%) symptomatic patients and 2955 (71.5%) symptom‐free patients before discharge, 817 (69.5%) had remission, and 366 (12.2%) had new‐onset depressive symptoms, respectively. Compared with no depressive symptom, persistent depressive symptoms were associated with an increased risk of cardiovascular death (hazard ratio [HR], 2.10 [95% CI, 1.59–2.79]) and heart failure rehospitalization (HR, 1.56 [95% CI, 1.30–1.87]); new‐onset depressive symptoms were associated with an increased risk of cardiovascular death (HR, 1.78 [95%CI, 1.32–2.40]) and heart failure rehospitalization (HR, 1.54 [95% CI, 1.29–1.83]). Remitted depressive symptoms were associated with a slightly increased risk of cardiovascular death but had no significant association with heart failure rehospitalization. Patients who were female or had poor socioeconomic status, stroke history, renal dysfunction, or poor health status had a higher risk of persistent or new‐onset depressive symptoms. Conclusions Sex, socioeconomic status, clinical characteristics, and health status help identify patients with high risks of depressive symptoms at 1 month after discharge. Dynamic capture of depressive symptom change during this period informs long‐term risk stratifications and targets patients who require psychological interventions and social support to improve clinical outcomes. Registration URL: https://www.clinicaltrials.gov ; Unique identifier (NCT02878811).

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

BackgroundIndividual non-cardiac comorbidities are prevalent in HF; however, few studies reported how the aggregate burden of non-cardiac comorbidities affects long-term outcomes, and it is unknown whether this burden is associated with changes in health status.AimsTo assess the association of the overall burden of non-cardiac comorbidities with clinical outcomes and quality of life (QoL) in patients hospitalized for heart failure (HF).MethodsWe prospectively enrolled patients hospitalized for HF from 52 hospitals in China. Eight key non-cardiac comorbidities [diabetes, chronic renal disease, chronic obstructive pulmonary disease (COPD), anemia, stroke, cancer, peripheral arterial disease (PAD), and liver cirrhosis] were included, and patients were categorized into four groups: none, one, two, and three or more comorbidities. We fitted Cox proportional hazards models to assess the burden of comorbidities on 1-year death and rehospitalization.ResultsOf the 4,866 patients, 25.3% had no non-cardiac comorbidity, 32.2% had one, 22.9% had two, and 19.6% had three or more in China. Compared with those without non-cardiac comorbidities, patients with three or more comorbidities had higher risks of 1-year all-cause death [heart rate, HR 1.89; 95% confidence interval (CI) 1.48–2.39] and all-rehospitalization (HR 1.35; 95%CI 1.15–1.58) after adjustment. Although all patients with HF experienced a longitudinal improvement in QoL in the 180 days after discharge, those with three or more non-cardiac comorbidities had an unadjusted 11.4 (95%CI −13.4 to −9.4) lower Kansas City Cardiomyopathy Questionnaire (KCCQ) scores than patients without comorbidities. This difference decreased to −6.4 (95%CI −8.6 to −4.2) after adjustment for covariates.ConclusionAmong patients hospitalized with HF in this study, a higher burden of non-cardiac comorbidities was significantly associated with worse health-related QoL (HRQoL), increased risks of death, and rehospitalization post-discharge. The findings highlight the need to address the management of comorbidities effectively in standardized HF care.

BackgroundHigh systolic blood pressure (SBP) is an important risk factor for the progression of heart failure (HF); however, the association between SBP and prognosis among patients with established HF was uncertain. This study aimed to investigate the association between SBP and long-term clinical outcomes in patients hospitalized for HF.MethodsThis study prospectively enrolled adult patients hospitalized for HF in 52 hospitals from 20 provinces in China. SBPs were measured in a stable condition judged by clinicians during hospitalization before discharge according to the standard research protocol. The primary outcomes included 1-year all-cause death and HF readmission. The multivariable Cox proportional hazards regression models were fitted to examine the association between SBP and clinical outcomes. Restricted cubic splines were used to examine the non-linear associations.ResultsThe 4,564 patients had a mean age of 65.3 ± 13.5 years and 37.9% were female. The average SBP was 123.2 ± 19.0 mmHg. One-year all-cause death and HF readmission were 16.9 and 32.7%, respectively. After adjustment, patients with SBP < 110 mmHg had a higher risk of all-cause death compared with those with SBP of 130–139 mmHg (HR 1.71; 95% CI: 1.32–2.20). Patients with SBP < 110 mmHg (HR 1.36; 95% CI: 1.14–1.64) and SBP ≥ 150 mmHg (HR 1.26; 95% CI: 1.01–1.58) had a higher risk of HF readmission, and the association between SBP and HF readmission followed a J-curve relationship with the nadir SBP around 130 mmHg. These associations were consistent regardless of age, sex, left ventricular ejection fraction, hypertension, coronary heart disease, and medications for HF.ConclusionIn patients hospitalized for HF, lower SBP in a stable phase during hospitalization portends an increased risk of 1-year death, and a J-curve association has been observed between SBP and 1-year HF readmission. These associations were consistent among clinically important subgroups.

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.