[Monitoring and Analysis of the Spatio-temporal Change Characteristics of the PM2.5 Concentration Over Beijing-Tianjin-Hebei and Its Surrounding Regions Based on Remote Sensing].

To analyze the spatial and temporal variation characteristics of PM2.5 in Beijing-Tianjin-Hebei and its surrounding regions, a 1 km resolution AOT product was retrieved from MODIS data and the remote sensing inversion of the PM2.5 concentration in Beijing-Tianjin-Hebei and its surrounding regions was realized using the geographically weighted regression model. On this basis, the synthesis results of multi-timescale PM2.5 concentrations were verified and analyzed. Finally, the spatial and temporal variation characteristics of PM2.5 in Beijing-Tianjin-Hebei and its surrounding regions between 2016 and 2017 were compared and analyzed using different time scales. The results show that the verification of the PM2.5 concentration products of the average daily, monthly, and annual averages are in general good. The larger the time scale is, the better is the PM2.5 effect of the remote sensing estimation. The relative accuracy of the annual average PM2.5 products is higher than 80%. However, the precision of the PM2.5 remote sensing results for 2016 and 2017 is relatively close (at the same time scales). The PM2.5 distribution in Beijing-Tianjin-Hebei and its surrounding regions shows a seasonal variation (winter > autum ≈ spring > summer). The spatial distribution is high in the southern but low in the northern part. Compared with 2016, the average PM2.5 concentration decreased by~9.2% in 2017. The area with high values was significantly reduced. High PM2.5 concentrations occurred in November and December and low concentrations were observed in August. The PM2.5 concentration change between 2017 and 2016 is closely related to the comprehensive control crucial action and specific inspection activities of air pollution in 2017, which indirectly account for the effect of the reduction of the atmospheric pollution.

A novel treatment strategy for newly diagnosed high-grade T1 bladder cancer: Gemcitabine and cisplatin adjuvant chemotherapy-A single-institution experience.

BACKGROUND: Management of high-grade T1 (formerly T1G3) bladder cancer continues to be controversial. Should patients with T1G3 bladder cancer have an immediate radical cystectomy or should they receive intravesical bacillus Calmette-Guérin-preserving bladder? Gemcitabine and cisplatin (GC) adjuvant chemotherapy may help to strike a balance between intravesical and early cystectomy. For purposes of this study, we continue to refer high-grade T1 lesion as "T1G3." OBJECTIVE: To evaluate the characteristics and the long-term outcome of GC adjuvant chemotherapy in T1G3 bladder cancer after transurethral resection of bladder tumor (TURBT). MATERIALS AND METHODS: We retrospectively reviewed 48 patients who were newly diagnosed with T1G3 bladder cancer between January 2009 and December 2012. A total of 48 patients received 4 cycles of GC adjuvant chemotherapy after TURBT. One month after 4 cycles of GC adjuvant chemotherapy, response was evaluated by re-TURBT. Median follow-up was 59.5 (range: 18-70) months, all patients have been observed for more than 3 years. Salvage cystectomy was recommended for patients with persistent disease and for tumor progression after initial complete response. RESULT: Complete response was achieved in 44 (91.7%) patients. Of complete responders, 5 patients experienced recurrence and 5 patients showed progression. The progression rate and disease-specific survival rate were 10.4% and 91.7% at 3 years, respectively. More than 80% of survivors preserved their bladder. Kaplan-Meier curves showed that concomitant carcinoma in situ (CIS) was the only factor that had an influence on progression-free survival (P = 0.022) and disease-specific survival (P = 0.017). Concomitant CIS was the prognostic factor for progression rate and disease-specific survival rate at 3 years (P = 0.008 and P = 0.035). CONCLUSION: GC adjuvant chemotherapy is a safe conservative treatment for T1G3 bladder cancer, but effective is really a phase II study. Patients with T1G3 bladder cancer with concomitant CIS should be treated more aggressively because of the high risk of progression.

Metformin can block precancerous progression to invasive tumors of bladder through inhibiting STAT3-mediated signaling pathways.

BACKGROUND: Metformin is the first line of oral antidiabetic drug in the biguanide class for treatment of type 2 diabetes. Increasing evidence has suggested that it is a potential anti-tumor drug. However, the mechanisms underlying inhibiting tumor development remain elusive, especially in bladder tumors. METHODS: T24 and J82 cell lines were used as an in vitro model, and 24 female SD rats were used to build an N-methyl-N-nitrosourea (MNU)-induced orthotopic rat bladder cancer model. Transfection of lentivirus-based shRNA was used to construct the STAT3-KNOCKDOWN T24 cell line. After metformin treatment, the viability of bladde cancer cells was determined by CCK8. Cell cycle distribution and apoptosis were assessed by flow cytometry. The migration and invasion abilities of cells were evaluated by wound healing and transwell asssays. The inactivation of stat3 pahtway was examined by qRTPCR, western blot and Immunofluorescence. RESULTS: Metformin can effectively inhibit precancerous progression to invasive cancer in an MNU-induced rat orthotopic bladder tumor model, although it could not completely suppress normal cells transforming into tumor cells. While the MNU could induce 50 % rats (4/8) to develop invasive bladder cancers, the rats co-administrated with metformin failed to develop invasive tumors but retained at precancerous or non-invasive stages, exhibiting as dysplasia, papillary tumor and/or carcinoma in situ (CIS). Accordingly, phosphorylation of signal transducer and activator of transcription 3 (STAT3), which is a well known oncogene, was significantly inhibited in the tumors of rats treated with metformin. In vitro experiments revealed that the metformin could efficiently inhibit STAT3 activation, which was associated with the cell cycle arrest, reduction of cell proliferation, migration and invasiveness, and increase in apoptotic cell death of bladder cancer cell lines. CONCLUSIONS: These findings provide for the first time the evidence that metformin can block precancerous lesions progressing to invasive tumors through inhibiting the activation of STAT3 pathway, and may be used for treatment of the non-invasive bladder cancers to prevent them from progression to invasive tumors.

New method for noninvasive quantification of central venous pressure by ultrasound.

BACKGROUND: The central venous pressure (CVP) is essential for assessing the cardiac preload and circulating blood volume in clinic. The invasive CVP measurement by central venous catheter has been reported with various complications. The aim of this study was to develop a new noninvasive method for quantification of CVP by ultrasound. METHODS AND RESULTS: Seventy-six patients who had their CVP monitored for intraoperative or postoperative management were recruited. By accurate location of the collapse point of the internal jugular vein and the center of the right atrium using ultrasound imaging, the height of the fluid column between those 2 points was measured as the noninvasive CVP (CVPn). A total of 118 measurements were performed and compared with the invasive CVP (CVPi). Linear correlation analysis revealed a significant correlation between CVPi and CVPn (preoperative measurements, r=0.90; P<0.01 and postoperative measurements, r=0.93; P<0.01). Bland-Altman plots showed a good agreement between CVPi and CVPn with the mean difference of 0.22 mm Hg (preoperative measurements) and -0.09 mm Hg (postoperative measurements), respectively. CONCLUSIONS: The new noninvasive CVP quantification method based on the location of both the collapse point of internal jugular vein and the center of right atrium by ultrasound could be used as a reliable approach for monitoring the hemodynamic status in clinic.

Increased expression of HMGB1 is associated with poor prognosis in human bladder cancer.

BACKGROUND AND OBJECTIVE: High-mobility group box 1 (HMGB1) is a versatile protein with intranuclear and extracellular functions that is involved in numerous biological and pathological processes, such as transcription, DNA repair, and response to infection and inflammation. HMGB1 overexpression has been reported in a variety of human cancers. However, the clinical significance of HMGB1 expression in bladder cancer (BC) remains unclear. This study is aimed to investigate the correlations between HMGB1 expression and prognosis in patients with BC. METHODS: HMGB1 protein expression in 164 primary BC tissue specimens was analyzed by immunohistochemistry, and its association with clinicopathologic factors and prognosis was also analyzed. RESULTS: HMGB1 protein had high expression in 87 of 164 cases of BC (53%). HMGB1 overexpression was significantly associated with tumor grade (P < 0.001), and stage (P = 0.001). The Kaplan-Meier survival analysis demonstrated that HMGB1 expression was significantly associated with shorter disease-free survival and overall survival (both P < 0.001). Multivariate analysis further demonstrated that HMGB1 was an independent prognostic factor for patients with BC. CONCLUSIONS: HMGB1 might be a new molecular marker to predict the prognosis of patients with BC.

UHRF1 is associated with tumor recurrence in non-muscle-invasive bladder cancer.

Ubiquitin-like with PHD and ring finger domains 1 (UHRF1) is a novel anti-apoptotic gene, and overexpression of UHRF1 is involved in tumorigenicity. Here, immunohistochemistry was used to detect UHRF1 expression in non-muscle-invasive bladder cancer (NMIBC), and these data were examined for correlation with clinicopathological parameters and prognosis. The UHRF1 expression rate was 49.2% in a total of 118 bladder cancer tissues, which was significantly higher than in normal tissues, and UHRF1 expression has a significantly positive correlation with tumor grade (P = 0.027) and recurrence (P = 0.013). Survival analysis showed that UHRF1 high expression patients' mean survival time (42.59 months) was significantly shorter than that (71.36 months) of UHRF1 low expression patients (P = 0.0002). Multivariate analysis showed that UHRF1 overexpression was an independent prognostic factor for tumor recurrence (P < 0.0001). So UHRF1 may be a molecular marker to predict the recurrence of NMIBC.

Androgen deprivation therapy through bilateral orchiectomy: increased metabolic risks.

Prostate cancer is one of the most common malignancies in men. Previous research has determined that androgen deprivation therapy (ADT) may be accompanied by an unfavourable metabolic profile. In this prospective study, 133 men were recruited, including 46 prostate cancer patients who had undergone bilateral orchiectomy and been on flutamide (the ADT group), 37 men with prostate cancer who had undergone radical prostatectomy (the non-ADT group) and 50 normal control subjects (the control group). All subjects were followed for at least 12 months. From baseline to 3 months, men in the ADT group had increased levels of fasting serum insulin and low-density lipoprotein compared to the other two groups (P<0.05). No obvious changes were found in the other parameters (P>0.05). After 12 months, men in the ADT group had increased levels of waist circumference, fasting serum insulin and glucose, total cholesterol, high-density lipoprotein and low-density lipoprotein compared to the other two groups (P<0.05). Additionally, the morbidity rate of metabolic syndrome in the ADT group was higher (P<0.05) compared to the other two groups. ADT through surgical castration for men with prostate cancer may be associated with unfavourable metabolic changes. The benefits of the therapy should be balanced prudently against these risks.

Genomewide association study of leprosy.

BACKGROUND: The narrow host range of Mycobacterium leprae and the fact that it is refractory to growth in culture has limited research on and the biologic understanding of leprosy. Host genetic factors are thought to influence susceptibility to infection as well as disease progression. METHODS: We performed a two-stage genomewide association study by genotyping 706 patients and 1225 controls using the Human610-Quad BeadChip (Illumina). We then tested three independent replication sets for an association between the presence of leprosy and 93 single-nucleotide polymorphisms (SNPs) that were most strongly associated with the disease in the genomewide association study. Together, these replication sets comprised 3254 patients and 5955 controls. We also carried out tests of heterogeneity of the associations (or lack thereof) between these 93 SNPs and disease, stratified according to clinical subtype (multibacillary vs. paucibacillary). RESULTS: We observed a significant association (P<1.00x10(-10)) between SNPs in the genes CCDC122, C13orf31, NOD2, TNFSF15, HLA-DR, and RIPK2 and a trend toward an association (P=5.10x10(-5)) with a SNP in LRRK2. The associations between the SNPs in C13orf31, LRRK2, NOD2, and RIPK2 and multibacillary leprosy were stronger than the associations between these SNPs and paucibacillary leprosy. CONCLUSIONS: Variants of genes in the NOD2-mediated signaling pathway (which regulates the innate immune response) are associated with susceptibility to infection with M. leprae.

[Malfunction simulation by spaceflight training simulator].

OBJECTIVE: To implement malfunction simulation in spaceflight training simulator. METHOD: The principle of malfunction simulation was defined according to spacecraft malfunction predict and its countermeasures. The malfunction patterns were classified, and malfunction type was confirmed. A malfunction simulation model was established, and the malfunction simulation was realized by math simulation. RESULT: According to the requirement of astronaut training, a spacecraft subsystem malfunction simulation model was established and realized, such as environment control and life support, GNC, push, power supply, heat control, data management, measure control and communication, structure and so on. CONCLUSION: The malfunction simulation function implemented in the spaceflight training simulator satisfied the requirements for astronaut training.

Intrusion detection using rough set classification.

Recently machine learning-based intrusion detection approaches have been subjected to extensive researches because they can detect both misuse and anomaly. In this paper, rough set classification (RSC), a modern learning algorithm, is used to rank the features extracted for detecting intrusions and generate intrusion detection models. Feature ranking is a very critical step when building the model. RSC performs feature ranking before generating rules, and converts the feature ranking to minimal hitting set problem addressed by using genetic algorithm (GA). This is done in classical approaches using Support Vector Machine (SVM) by executing many iterations, each of which removes one useless feature. Compared with those methods, our method can avoid many iterations. In addition, a hybrid genetic algorithm is proposed to increase the convergence speed and decrease the training time of RSC. The models generated by RSC take the form of "IF-THEN" rules, which have the advantage of explication. Tests and comparison of RSC with SVM on DARPA benchmark data showed that for Probe and DoS attacks both RSC and SVM yielded highly accurate results (greater than 99% accuracy on testing set).