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Background This study was intended to investigate the genomic landscape of the immune microenvironments of brain metastases in breast cancer. Methods Three gene expression profile datasets (GSE76714, GSE125989 and GSE43837) of breast cancer with brain metastases were downloaded from Gene Expression Omnibus (GEO) database. After differential expression analysis, the tumor immune microenvironment and immune cell infiltration were analyzed. Then immune-related genes were identified, followed by function analysis, transcription factor (TF)-miRNA–mRNA co-regulatory network analysis, and survival analysis of metastatic recurrence. Results The present results showed that the tumor immune microenvironment in brain metastases was immunosuppressed compared with primary caner. Compared with primary cancer samples, the infiltration ratio of plasma cells in brain metastases samples was significantly higher, while the infiltration ratio of macrophages M2 cells in brain metastases samples was significantly lower. Total 42 immune-related genes were identified, such as THY1 and NEU2. CD1B, THY1 and DOCK2 were found to be implicated in the metastatic recurrence of breast cancer. Conclusions Targeting macrophages or plasma cells may be new strategies for immunotherapy of breast cancer with brain metastases. THY1 and NEU2 may be potential therapeutic targets for breast cancer with brain metastases, and THY1, CD1B and DOCK2 may serve as potential prognostic markers for improvement of brain metastases survival.

Background: To identify candidate key genes and pathways related to mast cells resting in meningioma and the underlying molecular mechanisms of meningioma. Methods: Gene expression profiles of GSE43290 and GSE16581 datasets were obtained from the Gene Expression Omnibus (GEO) database. GO and KEGG pathway enrichments of DEGs were analyzed using the ClusterProfiler package in R. The protein-protein interaction network (PPI), and TF-miRNA- mRNA co-expression networks were constructed. Further, the difference in immune infiltration was investigated using the CIBERSORT algorithm. Results: A total of 1499 DEGs were identified between tumor and normal controls. The analysis of the immune cell infiltration landscape showed that the probability of distribution of memory B cells, regulatory T cells (Tregs), and resting mast cells in tumor samples were significantly higher than those in the controls. Moreover, through WGCNA analysis, the module related to mast cells resting contained 158 DEGs, and KEGG pathway analysis revealed that the DEGs were dominant in the TNF signaling pathway, cytokine-cytokine receptor interaction, and IL-17 signaling pathway. Survival analysis of hub genes related to mast cells resting showed that the risk model was constructed based on 9 key genes. The TF-miRNA- mRNA co-regulation network, including MYC-miR-145-5p, TNFAIP3-miR-29c-3p, and TNFAIP3-hsa-miR-335-3p, were obtained. Further, 36 nodes and 197 interactions in the PPI network were identified. Conclusion: The results of this study revealed candidate key genes, miRNAs, and pathways related to mast cells resting involved in meningioma development, providing potential therapeutic targets for meningioma treatment.

Hybrid organic-inorganic piezoelectrics have attracted attention due to their simple synthesis, mechanical flexibility, and designability, which have promising application potential in flexible sensing and self-powered energy harvesting devices. Although some hybrid piezoelectrics are discovered, most of their structures are limited by the perovskite-type and often contain lead. Herein, the synthesis, structure, and piezoelectric properties of a new hybrid lead-free metal halide, (BTMA)2 CoBr4 (BTMA = benzyltrimethylammonium) are reported. The experimental and theoretical results demonstrate that this material simply composed of [CoBr4 ]2- tetrahedra and BTMA+ cations exhibits significant piezoelectricity (d22 = 5.14, d25 = 12.40 pC N-1 ), low Young's and shear moduli (4.11-17.56 GPa; 1.86-7.91 GPa). Moreover, the (BTMA)2 CoBr4 /PDMS (PDMS = polydimethylsiloxane) composite thin films are fabricated and optimized. The 10% (BTMA)2 CoBr4 /PDMS-based flexible devices show attractive performance in energy harvesting with an open-circuit voltage of 19.70 V, short-circuit current of 4.24 µA, and powder density of 11.72 µW cm-2 , catching up with those of piezoelectric ceramic composites. Meanwhile, these film devices show excellent capability in accurately sensing human body motions, such as finger bending and tapping. This work demonstrates that (BTMA)2 CoBr4 and related piezoelectric lead-free halides can be promising molecular materials in modern energy and sensing applications.

Multifunctional molecular materials exhibiting both magnetic bistability and electrical conductivity have excellent application potential in microelectronic devices. In the last two decades, research into conductive magnets and switching materials has continuously expanded and provided materials with practical application prospects. In this review, we present the recent progress on spin crossover and valence tautomerism conductors, focusing on syntheses, strategies, crystal structures, magnetic properties, and conductivities of such materials as well as synergistic and cooperative properties of bistability and conductivity.

In order to improve the computational efficiency of the response surface method (RSM) in analysis of structural reliability, a full-space response surface method (FRSM) is presented in this paper. First, a vector-type response surface is developed by expanding the stochastic nodal displacement vector along the Krylov basis vectors defined by the global stiffness matrix and the force vector. Then the effective collocation points are picked out of the candidate ones according to the linear independence of the combining row vector. Finally, the unknown coefficients of the proposed response surface are determined by means of the regression analysis. Examples show that the proposed FRSM requires much fewer effective collocation points and less times of finite element analysis, achieving much higher computational efficiency by comparing with the traditional RSM.

To date, very few attempts have been made to systematically compare the effectiveness of agricultural and nonagricultural organic wastes for aided phytostabilization of mine tailings under field conditions. In this study, we performed a field trial to compare the effectiveness of three agricultural organic wastes: chicken manure (CM), crop straw (CS), and spent mushroom compost (SMC), with that of three nonagricultural organic wastes, municipal sludge (MS), medicinal herb residues (MHR), and sweet sorghum vinasse (SSV) for aided phytostabilization of a Pb-Zn mine tailings pond in Hunan Province, China. Eight plant species naturally established in the vicinity of the mine were selected and seeded onto trial plots. It was found that the CM-amended plots had the highest (p −2), compared to other treatments. CM was also one of the best amendments in terms of improving soil nutrient status, increasing activities of soil enzymes, and immobilizing soil Pb. In addition, CM-amended plots were characterized by their higher microbial diversity and distinct microbial community structure as compared to the control plots. MS was the second best amendment in promoting vegetation cover (71%) and biomass production (461 g m−2), and it performed as well as CM for improving nutrient status, immobilizing heavy metals, and increasing the activities of enzymes in the mine tailings. Suggestions for further lines of research are made in order to develop future investigations.

Aims: We evaluated the synergistic effect of lipoprotein-associated phospholipase A2 (Lp-PLA2) in association with classical risk factors in predicting coronary heart disease (CHD) and demonstrated the diagnostic value of Lp-PLA2 for predicting coronary stenotic lesions in subjects with CHD. Methods: Blood samples were acquired from 911 consecutive adult subjects (662 males and 249 females) from 11 ethnic groups. Lp-PLA2 plasma levels were detected using a commercially available turbidimetric immunoassay (TIA). CHD in patients was confirmed using coronary angiography, and the severity of coronary atherosclerosis was assessed using the Gensini scoring system. Results: A binary logistic regression was performed to analyse the relationships between Lp-PLA2 and other risk factors. A multivariate logistic regression analysis revealed that Lp-PLA2 levels were significantly associated with CHD (OR, 1.882; 95% CI, 1.369-2.587, p=0.000).The area under the receiver operating characteristic curve for Lp-PLA2 was 0.589 (95%CI, 0.549-0.629, p=0.000).The synergism between Lp-PLA2 and other risk factors was also investigated. The proportion of CHD attributable to the interaction between Lp-PLA2 and age was as high as 64%. Conclusions: Lp-PLA2 levels in human plasma were positively associated with the severity of CHD, and there was a clear positive interaction between Lp-PLA2 and classical risk factors in predicting CHD.

In this paper, a new dual-band infrared image fusion for enhancing visibility is proposed. Before proposing the new algorithm, we studied the human visual systems and found that human visual systems have directional characteristics, and the sensitivity of the human eye to the phase angle is higher than the change of the mode. Considering these characteristics of human visual systems, we put forward a dual-band infrared image fusion algorithm based on local window activity measure. First, the mid-wave and long-wave infrared source images are decomposed into the multi-scale and multidirectional subbands by using a nonsubsampled contourlet transform(NSCT) method. Then, the highpass subbands are fused by selecting the maximum absolute operator and the lowpass subbands are fused by using a method based on region energy and region variance. Finally, the image is reconstructed by inverse nonsubsampled contourlet transform and a fused image is obtained. We use a dual-band infrared camera with common optical path to acquire images for the fusion experiment. The method is compared with the gradient pyramid transform and the wavelet transform in fusion effectiveness. From the comparison of the evaluation parameters, we can find that the fusion results of the proposed algorithm are better than other algorithms, and this visibility-enhanced dual-band infrared image fusion algorithm based NSCT is more suitable for human eye observation and understanding.

Objective: The purpose of this study was to investigate the influence of weather on the occurrence of acute ST-elevation myocardial infarction in Chinese subjects. Methods: Weather and climate data, as well as the occurrence of STEMI, were monitored at 2 am, 8 am, 2 pm, and 8 pm between 2003 and 2010. Generalized additive Poisson models were utilized to plot the numbers of patients with STEMI within 6 hour intervals against climatological variations, after accounting for the effects of the hour and season. Results: The inclusion of meteorological conditions, including observed atmospheric pressure (hPa, hectopascal) variations during the previous three hours and temperature (°C, degrees Celsius), significantly affected the occurrence of STEMI, as measured every six hours. Compared with the 50th percentile of atmospheric pressure variations, the RRs (95% CI) for the first percentile, 10th percentile, 25th percentile, 75th percentile, 90th percentile, and 99th percentile of atmospheric pressure variation over lag 0 were 1.66 (1.36∼2.03), 1.47 (1.30∼1.67), 1.22 (1.12∼1.33), 1.16 (1.07∼1.25), 1.27 (1.13∼1.43), and 1.16 (0.92∼1.46), respectively. Compared to the 50th percentile of temperature, the RRs (95% CI) for the first percentile, 10th percentile, 25th percentile, 75th percentile, 90th percentile, and 99th percentile of temperature over lag 0 were 0.58 (0.40∼0.83), 0.60 (0.46∼0.78), 0.69 (0.57∼0.83), 1.33 (1.14∼1.56), 1.39 (1.13∼1.71), and 1.17 (0.84∼1.63), respectively. Conclusions: Based on the eight-year, single-center study, significant relationships were observed among the occurrence of STEMI and atmospheric pressure variations during the previous three hours and temperature after account for long-term time trends.

To study the lining deformation characteristic of the cold region tunnel under the frost heaving force, a model test was designed, and the low temperature environment in the tunnel of model was made by refrigeration equipment, the groundwater inside the model was frozen, the lining structure deformation characteristic under the frost heaving force was analyzed. The results show that the lining was distorted under the frost heaving force, the lining strain of the tunnel crown and side wall was greatly, the maximum strain is 122μ, the lining strains of inverted arch and foot of wall was less, the minimum strain is 25μ.

Desert ecological tourism resources in green environment are an integration of desert natural geographic and landform landscape with its interdependent desert ecosystem environment, possess two major functions, and also their values are reflected in ecological benefit and recreation value. Therefore, through choosing ecological tourism as an index and combining EM inside direct cost and outside direct cost with grading evaluation, the intension of the recreation value of desert tourism resources in green environment was defined according to the ecological tourism function of desert tourism resources; through investigation and research, classification, data collection and regression processing, the recreation value of China's desert tourism resources was calculated, and the result showed that the recreation value of China's desert tourism resources in green environment reached 4.5 billion RMB in 2010.

Nature Reserve takes an important part both biodiversity conservation and community economic development. But its concentric circular zoning has been a conflict to its biodiversity conservation and community economic development. Taking Beijing Labagoumen Nature Reserve as studying area, multi-data resource as Digital Elevation Model and geo-spatial data, also spatial analyst technology including GIS and RS, which make expert knowledge related to spatial raster to express spatial rasters importance according its eco-attribute. As an attempt, three and four level of eco-evaluation in this nature reserve was got through multi-layer raster map algebra operation based on Multi-factor Weighted Model by using spatial analyst module of ArcGis9.x released by ESRI.

The split-and-project method is introduced to modeling the 3D objects with rough surfaces. With this method, the blunt-nosed cone (BNC) and delta-wing aircraft (DWA) are taken as examples to build the rough objects. The bi-static RCS of the rough objects are then simulated through Physical Optics (PO) method under different correlation length and root-mean-square (rms) height. Results indicate that the correlation length matters more than the latter on the RCS and DWA is more susceptible to the roughness of the surface.

This paper analyzed the features of a new network architecture whose locator and identifier are separated, in order to improve the query and replacement efficiency of the identifier mapping, the backup of the locator/identifier mapping information needs storing in the most necessary place, which is a problem of cache management in fact .In this paper the typical cache management algorithms are analyzed firstly, and then a new aimed pushing and pre-fetching strategy is proposed according to the bidirectional interactive character of the communication activity in querying the mapping relationship, thus divided the Access Switch Router(ASR) cachespace into three section: Waiting_First_Access_Section (WFA), Frequently_Used_se- ction(FU) and Session_Duration_Section (SDU). And based on the identity mapping information reuse probability predicted by the Markov model, an information lifetime-based adaptive cache management algorithm is proposed. The simulation result shows that the performance of the buffer management algorithm proposed by this paper is better than those of the existing cache management algorithms such as LFU, LRU and LFU-LRU

The aim of this study was to identify the synergistic effect of microRNA expression with classical risk factors of coronary heart disease (CHD) and to explore their diagnostic value for coronary stenotic lesions in subjects with CHD. Plasma samples were obtained from 66 subjects with CHD and from 58 control individuals. A quantitative reverse-transcription PCR (RT-qPCR) assay was conducted to confirm the relative expressions of the known CHD-related miRNAs. The severity of coronary atherosclerosis was based on the Gensini scoring system. The expression of miR-125b in plasma of the CHD group was lower than that of the non-CHD group (0.14 ± 0.09 vs. 0.18 ± 0.10, p = 0.055) and the miR-125b levels significantly decreased following an increasing Gensini score (P = 0.037). Spearman correlation analyses indicated the Gensini score was negatively associated with miR-125b (r = −0.215, p = 0.017). Of all the miRNAs, miR-125b showed the lowest AUC (0.405; 95% CI: 0.305 ~ 0.506, p = 0.070). We found several synergistic effects between miR-125b and classical risk factors, such as age, sex, CR, FBG and HDL-C; the proportion of CHD attributable to the interaction of miR-125b and age was as high as 80%. Therefore, miR-125b was shown to play an important role in individual’s susceptibility to developing CHD.

Objective: To develop a risk score by incorporating Hemoglobin A1c(HbA1c) with traditional risk factors for the prediction of coronary artery disease (CAD) in Chinese subjects. Methods: A total of 196 consecutive subjects (131 males and 65 females) aged 38-89 years who underwent coronary angiography were enrolled in this study. HbA1c risk score sheets for the prediction of CAD were developed using age, gender and HbA1c. A receiver-operating characteristic curve analysis was used to determine the optimum cut-off levels of the HbA1c risk score for predicting CAD. Results: In the ROC curve analysis, the optimal cut-off value of the HbA1c score for predicting CAD was 5.1, with a sensitivity of 72.0% and a specificity of 75.5% (area under the curve 0.781, 95% confidence interval 0.709 to 0.854, p=0.000). Conclusions: The HbA1c score system is a simple and feasible method that can be used for the prediction of CAD. Large-scale studies are needed to further substantiate these results.

We performed a large, long-term cohort study to evaluate the association of renin-angiotensin-aldosterone system gene polymorphisms and baseline phenotypes to all-cause mortality among patients with angiographically confirmed coronary atherosclerosis. The study included 1075 subjects who underwent coronary angiography. Patients were genotyped for eight polymorphisms (rs4343, rs5186, rs5182, rs5049, rs5051, rs699, rs4762, and rs1799998), and their baseline plasma angiotensin II and aldosterone levels were measured. The interval between baseline and follow-up time-points ranged from 6.39 to 9.59 years. The results of multivariate regression analysis further indicated that high baseline angiotensin II levels (1.226 (1.024–1.468), p = 0.027) were independently associated with all-cause death. Therefore, we found that an increased baseline plasma angiotensin II level was associated with higher long-term all-cause mortality, even after correcting for established cardiovascular risk factors.

Objective This study was designed to examine the prevalence of unilateral and bilateral diagonal earlobe creases (DELCs) with respect to the diagnosis of coronary heart disease (CHD). Methods A total of 558 consecutive participants (402 males and 156 females) aged 36–91 years who underwent coronary angiography were enrolled in this study. The participants were classified as being without a DELC, having a unilateral DELC and having bilateral DELCs; participants with either a unilateral DELC or bilateral DELCs were defined as participants with DELCs. Significant CHD was defined as at least one major vessel with >50% stenosis, and coronary atherosclerosis severity was defined using the Gensini scoring system. Results In the present study, bilateral DELCs were more frequently among male (p=0.001), CHD (p=0.000), older people (p=0.000) and those with more severe coronary artery atherosclerosis (p=0.000). The results of the multiple regression analyses indicated that DELCs (OR, 4.861; 95% CI 3.093 to 7.642, p=0.000) remained independently associated with a risk of CHD. It was assumed that participants without a DELC have a certain background risk for CHD (OR is assumed to be 1); the results of the multivariate logistic regression indicated that the relative risk of CHD among participants with bilateral DELCs was 5.690 among all participants (OR, 5.690; 95% CI 3.450 to 9.384, p=0.000), 5.436 among male participants (OR, 5.436; 95% CI 2.808 to 10.523, p=0.000) and 7.148 among female participants (OR, 7.148; 95% CI 3.184 to 16.049, p=0.000). Moreover, a positive association between DELC and age (SI=1.21, SIM=1.65, AP =0.132), gender (SI=2.09, SIM=0.81, AP=0.49) and smoking status (SI=1.49, SIM=0.73, AP=0.29) was found, respectively. Conclusions The results of the present study indicated that DELCs are a simple and a feasible means of identifying CHD. However, the exact mechanism underlying the relationship between DELCs and CHD warrants further study.

Objective to explore the impact of admission serum creatinine concentration on the in-hospital mortality and its interaction with age and gender in patients with acute ST-segment elevation myocardial infarction (STEMI) in China. Methods 1424 acute STEMI patients were enrolled in the study. Anthropometric and laboratory measurements were collected from every patient. A Cox proportional hazards regression model was used to determine the relationships between the admission serum creatinine level (Cr level), age, sex and the in-hospital mortality. A crossover analysis and a stratified analysis were used to determine the combined impact of Cr levels with age and gender. Results Female (HR 1.687, 95%CI 1.051∼2.708), elevated Cr level (HR 5.922, 95%CI 3.780∼9,279) and old age (1.692, 95%CI 1.402∼2.403) were associated with a high risk of death respectively. After adjusting for other confounders, the renal dysfunction was still independently associated with a higher risk of death (HR 2.48, 95% CI 1.32∼4.63), while female gender (HR 1.19, 95%CI 0.62∼2.29) and old age (HR 1.77, 95%CI 0.92∼3.37) was not. In addition, crossover analysis revealed synergistic effects between elevated Cr level and female gender (SI = 3.01, SIM = 2.10, AP = 0.55). Stratified analysis showed that the impact of renal dysfunction on in-hospital mortality was more pronounced in patients