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Abstract Using a deep learning method to classify a large amount of labelled remote sensing scene data produces good performance. However, it is challenging for deep learning based methods to generalise to classification tasks with limited data. Few‐shot learning allows neural networks to classify unseen categories when confronted with a handful of labelled data. Currently, episodic tasks based on meta‐learning can effectively complete few‐shot classification, and training an encoder that can conduct representation learning has become an important component of few‐shot learning. An end‐to‐end few‐shot remote sensing scene classification model based on ProtoNet and self‐supervised learning is proposed. The authors design the Pre‐prototype for a more discrete feature space and better integration with self‐supervised learning, and also propose the ProtoMixer for higher quality prototypes with a global receptive field. The authors’ method outperforms the existing state‐of‐the‐art self‐supervised based methods on three widely used benchmark datasets: UC‐Merced, NWPU‐RESISC45, and AID. Compare with previous state‐of‐the‐art performance. For the one‐shot setting, this method improves by 1.21%, 2.36%, and 0.84% in AID, UC‐Merced, and NWPU‐RESISC45, respectively. For the five‐shot setting, this method surpasses by 0.85%, 2.79%, and 0.74% in the AID, UC‐Merced, and NWPU‐RESISC45, respectively.

Recognizing each aerial photo with high-resolution (HR) is a useful technology in image understanding. Herein, a manifold-regularized feature selection (MRFS) is designed to acquire discriminative perceptual features that classify HR aerial images into different categories. Practically, human visual cognition process reflects that, in a scenic picture, the less visually attractive image patches are highly related. Meanwhile, the foreground highly visually attractive image patches are practically unrelated with each other. Following this observation, we in this work propose a multi-layer low-rank paradigm which calculates a succinct set of visually attractive patches in foreground. We sequentially link the above attractive image patches to build a so-called gaze shifting path (GSP). GSP can mimick how humans perceiving different aerial images. Afterward, we formulate a MRFS framework to obtain a subset of high quality features from the entire deep GSP representation. Thereby, an SVM is learned simultaneously. Moreover, the distribution of HR aerial images on the underlying manifold can be maximally preserved during feature selection (FS). To comprehensively evaluate our method, we collect a massive-scale aerial image set containing over 4.87 million high- and low-resolution aerial images. Extensive empirical validations on have shown our algorithm’s efficiency and effectiveness: 1) the testing time cost is 0.8s faster than the second best one to categorize each HR aerial image, 2) the average categorization accuracy is over 4.5% higher than the second best one.

The spin Hall effect (SHE), typically emerging in non-magnetic metals with strong spin-orbit couplings, has attracted significant attention for its ability to convert a charge current into a spin current, a key feature in power-efficient spintronic devices. Recently, an enhanced SHE has been detected in the magnetic alloys, where the spin Hall conductivity is strongly modified by the dynamical and thermal spin fluctuations. We find that the spin Hall angle ( ${\theta _{{\text{SH}}}}$ ) in Pt _100− _x Co _x alloys dramatically changes at the Curie temperature, which is positive in the paramagnetic phase akin to Pt, while negative in the ferromagnetic phase. Such intriguing behavior of ${\theta _{{\text{SH}}}}$ stemming from individual and collective fluctuations in the magnetic moments is further substantiated with the full-fledged Monte Carlo simulations. Our work broadens insights into the SHE and highlights the importance of spin fluctuations for the spin-current generation near the ferromagnetic instability point of magnetic alloys.

To naturally interact with virtual environment by hand gesture, this paper presents a robust RGB-D data based recognition method of static and dynamic hand gesture. Firstly, for static hand gesture recognition, starting from the hand gesture contour extraction, the palm center is identified by Distance Transform (DT) algorithm. The fingertips are localized by employing the K-Curvature-Convex Defects Detection algorithm (K-CCD). On the basis, the distances of the pixels on hand gesture contour to palm center and the angle between fingertips are considered as the auxiliary features to construct a multimodal feature vector, and then recognition algorithm is presented to robustly recognize the static hand gestures. Secondly, combining Euclidean distance between hand joints and shoulder center joint with the modulus ratios of skeleton features, this paper generates a unifying feature descriptor for each dynamic hand gesture and proposes an improved dynamic time warping (IDTW) algorithm to obtain recognition results of dynamic hand gestures. Finally, we conduct extensive experiments to test and verify the static and dynamic hand gesture recognition algorithm and realize a low-cost real-time application of natural interaction with virtual environment by hand gestures.

ABSTRACT: The present study was performed to investigate the effect of oral administration of β-glucan (G70), a product obtained from the cell wall of yeast, on Newcastle disease virus (NDV)-specific hemagglutination inhibition (HI) titers, lymphocyte proliferation, and the role of T lymphocyte subpopulations in chickens treated with live NDV vaccine. In addition, the influence of β-glucan on splenic gene expression was investigated by transcriptome sequencing. The results revealed that the supplementation of β-glucan boosted the titer of serum NDV HI increased the NDV stimulation index of lymphocytes in peripheral blood and intestinal tract, and promoted the differentiation of T lymphocytes into CD4+ T cells. The RNA sequencing (RNA-seq) analysis demonstrated that G70 upregulated the mRNA expressions related to G-protein coupled receptor and MHC class I polypeptide, and downregulated the mRNA expressions related to cathelicidin and beta-defensin. The immunomodulatory effect of G70 might function through mitogen-activated protein kinase signaling pathway. To sum up, G70 could boost the immunological efficacy of live NDV vaccine in chickens and could be applied as a potential adjuvant candidate in the poultry industry.

Based on the rainfall data from the automatic weather stations, the conventional data accessed by MICAPS4 and NCEP reanalysis data, we have conducted a comparative analysis of two local heavy rainstorm events on the eastern foot of Helan Mountain in Ningxia occurred respectively on 21 August 2016 and 22 July 2018 in terms of their precipitation characteristics, circulation background and other conditions, with focus on the diagnostic analysis of the moist potential vortex field in the two events. The results indicate that both events can be divided into two stages. In both cases, the first stage are warm-area precipitation, showing the feature such as small range, short time and high intensity. Comparing with the first stage, their second stage of precipitation present larger range and less rain intensity. The severe precipitation during the two events both occurred in the pseudo-equivalent potential temperature (θse) isoline areas, and both of them are distributed along the main axis of the low-level jet. The period of severe precipitation is consistent with the occurrence time of θse maximum. Rainstorm zones are basically located near the center of negative potential vortex (PV), and the trigger and development of rainstorm is consistent with the movement of the negative PV center, whose strengthening, weakening and moving direction can guide the prediction of local heavy rainstorm. The positive large value areas of barotropic term (MPV1) of moist potential vorticity above 500 hPa troposphere are corresponding with the negative large value areas of MPV1 below 700 hPa, and the vertical superposition of positive and negative MPV1 center area is conducive to the occurrence and development of rainstorm. It is found in the vertical section that there are negative extreme areas of baroclinic term (MPV2) of moist potential vorticity at 600 hPa in the two events. The intensity, duration and variation of negative MPV2 extreme areas in the lower and middle troposphere can be used as indicators for the prediction of local heavy rainstorm.

The first principles method is used to study the intrinsic vacancy of Cr, Al, and C in Cr2AlC materials with formation energies of 1.89, 1.95, and 1.07 eV, respectively. It has been proven in previous research that Al layers could be easily removed from Cr2AlC, and the formation energies of Cr2AlC are, therefore, calculated in this study after removing two layers of Al atoms to form Cr2C. The formation energies of the H, He, and O atoms that replace the Al atoms are also calculated to be −2.83, 90.73, and −47.81 eV, respectively. It shows that under irradiation or a high temperature environment, Cr2AlC is easily oxidized to form Cr2C materials. Furthermore, the density of states of Cr2AlC with an Al layer substituted by H, He, and O atoms, as well as the phonon properties of Cr2AlC and Cr2C, are calculated. The results show that the Cr–C metal bond is dominant in Cr2AlC materials to maintain the stability of the structure. The calculation results of mechanical properties show that the presence of Al atoms enhances the plasticity of Cr2AlC.

In broiler chicks, Escherichia coli lipopolysaccharide is a prominent cause for inflammatory damage and loss of immune homeostasis in broiler chicks. Ginsenosides have been shown to have anti-inflammatory and antioxidant effects. However, it has not been demonstrated that ginsenosides protect broiler chicks against stress induced by Escherichia coli lipopolysaccharide challenge. The aim of this is to investigate the protective effect of ginsenosides Rg1, Re, and Rg3 on Escherichia coli lipopolysaccharide-induced stress. Our results showed that Rg3 ameliorated growth inhibition and fever, as well as decreased the production of stress-related hormones in broilers with stress. The protective effect of Rg3 on the stressed chicks may be largely mediated by regulating inflammatory response and oxidative damage. Moreover, real-time quantitative-polymerase chain reaction (RT-qPCR) results demonstrated that Rg3 upregulated mRNA expression of mTOR, HO-1, and SOD-1. These results suggested that ginsenoside Rg3 and ginsenoside products contains Rg3 deserve further study for the control of immunological stress and inflammation in broiler chicks.

Electrochemical biosensors, in which enzymatic biofuel cells simultaneously work as energy power and signal generators, have become a research hotspot. They display the merits of power self-support, a simplified structure, in vivo operational feasibility, online and timely monitoring, etc. Since the concept of enzymatic biofuel cell-powered biosensors (EBFC-SPBs) was first proposed, its applications in health monitoring have scored tremendous achievements. However, the creation and practical application of portable EBFC-SPBs are still impeded by the difficulty in their miniaturization. In recent years, the booming microfluidic technology has powerfully pushed forward the progress made in miniaturized and portable EBFC-SPBs. This brief review recalls and summarizes the achievements and progress made in miniaturized EBFC-SPBs. In addition, we also discuss the advantages and challenges that microfluidic and screen-printing technologies provide to wearable and disposable EBFC-SPBs.

Microcystin-leucine arginine (MCLR), a widespread environmental contaminant produced by cyanobacteria, poses a severe threat to the male reproductive system. However, the mechanisms of MCLR-induced testis injury accompanied by autophagy are still obscure. This study aimed to investigate the effects of MCLR on autophagy and apoptosis on the male reproductive system and its mechanism both in vitro and in vivo. MCLR caused damage to the testis of zebrafish, resulting in decreased hatching and growth retardation in the offspring. It also remarkably enhanced autophagic flux by elevating the expression of LC3BII, ATG5, and ATG12 proteins. The autophagic flux was also confirmed through the formation of autophagosomes in the ultrastructure of the zebrafish testis and the accumulation of LC3-positive puncta in zebrafish testis and mouse TM4 cells. Further evaluations revealed that inhibition of autophagy by 3-methyladenine (3-MA) significantly attenuated MCLR-induced apoptosis. This finding indicated that autophagy plays an essential role in cell death in the male reproductive system. Besides, inhibiting endoplasmic reticulum (ER) stress using 4-phenylbutyrate (4-PBA) remarkably blocked autophagy and partially suppressed apoptosis in TM4 cells induced by MCLR. This phenomenon suggested that ER stress-related autophagy was involved in MCLR-induced apoptosis. This study reveals crosstalk between ER stress and autophagy via the PERK/eIF2α/ATF4 signaling pathway. It further suggests that ER stress-related autophagy contributes to MCLR-induced apoptosis and injury in the male reproductive system. These findings provide a novel insight into MCLR-induced impairments of the testis.

Background: Patients with acute aortic dissection type A (AADA) often have hypoxemia (partial pressure of oxygen [PaO2]/fraction of inspired oxygen [FiO2]

Locally enhanced electric fields produced by high-curvature structures have been reported to boost the charge transport process and improve the relevant catalytic activity. However, no visual evidence has been achieved to support this new electrochemical mechanism. Here, accelerated electrochemiluminescence (ECL) reactions emitting light are visualized for the first time at the heterogeneous interfaces between microbowls and the supporting electrode surface. The simulation result shows that the electric intensity at the interface with a high curvature is 40-fold higher than that at the planar surface. Consequently, local high electric fields concentrate reactive species to the heterogeneous interfaces and efficiently promote the charge transport reactions, which directly leads to the enhancement of ECL emission surrounding the microbowls. Additionally, the potential to induce visual ECL from a ruthenium complex drops to 0.9 V, which further illustrates the promotion of an electrochemical reaction with the aid of an enhanced electric field. This important visualization of electric field boosted electrochemical reactions helps to establish the proposed electron transfer mechanism and provide an alternative strategy to improve electrocatalytic efficiency.

Abstract Introduction Excessive neuroinflammation aggravates the brain injury caused by intracerebral hemorrhage (ICH), while the upstream mechanisms that initiate neuroinflammation remain unclear. Toll‐like receptor 4 (TLR4) signaling is important to trigger inflammatory responses in ICH, and cold‐inducible RNA‐binding protein (CIRP) has been shown as a novel ligand of TLR4 by recent studies. However, whether the CIRP could trigger the neuroinflammation via activating TLR4 signaling in ICH still needs to be investigated. Methods Human serum CIRP levels were measured using the ELISA kits. Western blot, FJB staining, brain water content, and neurological deficit scores were used to investigate the roles of CIRP in brain injury caused by ICH. Result First, we found increased CIRP levels in the blood of patients with ICH when compared to the control individuals, and the ICH patients with mRS > 2 have higher serum CIRP levels in contrast to those with mRS ≤ 2. In the ICH mice, we also found that brain CIRP protein and mRNA levels were also increased after ICH. Furthermore, using the CIRP−/− mice, we found that CIRP−/− mice had less brain damages showing in less FJB+ cells, reduced brain water content (BWC) and lower neurological deficit scores (NDS) compared to that in WT mice after ICH. Cytokines including IL‐6, TNF‐α, and IL‐1β from CIRP−/− mice were attenuated after ICH. CIRP−/− mice also exhibited reduced TLR4 expression which was accompanied by the decreased activity of NF‐κB. This suggests that TLR4 signaling might be involved in CIRP‐mediated inflammatory injury possibly via NF‐κB activation after ICH. Conclusion Our findings suggest that CIRP may activate TLR4 signaling, and further inducing NF‐κB activation to increase the expression levels of cytokines and aggravate inflammatory injury in ICH. Targeting CIRP may be a promising strategy for ICH treatment.

Accurately understanding the relationship between grain production and economic development is of great practical significance for ensuring national food security and coordinating inter-regional economic development. Using 2012 counties as research units, we analyzed the spatial coordination between grain production and economic development in China using the coupling of grain and economy (CGE) index, as well as the curve of gravity center and thematic map series methods based on statistical data from counties between 2000–2017. The results showed that: (1) Grain production was weakly coordinated with the economic development in China; but this coordination was enhanced. (2) China’s conversion between various types of grain production and economic development mainly occurred in the central and western regions, which are characterized by a much higher grain agglomeration level than the economic agglomeration level. (3) The northeastern region was prone to the grain agglomeration, the central and western regions were characterized by a grain-economy balance and the eastern region was dominated by economic agglomeration. (4) The increase of China’s CGE gradually increased from the southwest to northeast. Therefore, we proposed that the government should pay more attention to grain circulation in the eastern region and main grain-producing areas in central region should develop an accurate benefit compensation system, support leading grain processing enterprises and implement cultivated land protection policies in order to ensure national food security.

Remote sensing scene classification remains challenging due to the complexity and variety of scenes. With the development of attention-based methods, Convolutional Neural Networks (CNNs) have achieved competitive performance in remote sensing scene classification tasks. As an important method of the attention-based model, the Transformer has achieved great success in the field of natural language processing. Recently, the Transformer has been used for computer vision tasks. However, most existing methods divide the original image into multiple patches and encode the patches as the input of the Transformer, which limits the model’s ability to learn the overall features of the image. In this paper, we propose a new remote sensing scene classification method, Remote Sensing Transformer (TRS), a powerful “pure CNNs → Convolution + Transformer → pure Transformers” structure. First, we integrate self-attention into ResNet in a novel way, using our proposed Multi-Head Self-Attention layer instead of 3 × 3 spatial revolutions in the bottleneck. Then we connect multiple pure Transformer encoders to further improve the representation learning performance completely depending on attention. Finally, we use a linear classifier for classification. We train our model on four public remote sensing scene datasets: UC-Merced, AID, NWPU-RESISC45, and OPTIMAL-31. The experimental results show that TRS exceeds the state-of-the-art methods and achieves higher accuracy.

To reduce the circulation path of the output current of traditional electroacupuncture (TEA) process in the body, a simple single-acupoint electroacupuncture (SEA) frame was designed and the acupuncture effect of SEA was evaluated through Hou-san-li (ST-36) and Qian-san-li (LI-10) acupoints. Forty-two healthy New Zealand rabbits were randomly divided into seven groups and underwent acupuncture for 20 min in an awake state. Blood samples aseptically collected from the ear vein 3 h before acupuncture and 0, 3, 6, 9, 12 and 24 h after acupuncture were used for the detection of aspartate aminotransferase (AST), alanine aminotransferase (ALT), creatine kinase MB (CK-MB) and motilin (MTL) in serum. The simple SEA frame was developed successfully, and the acupuncture results showed that the serum AST and ALT levels were significantly higher at 3 h after TEA with high frequency (p < 0.01) compared with the control group. Regarding serum CK-MB levels, no significant differences were found after SEA or TEA stimulation (p > 0.05). Serum MTL levels were significantly increased at 0 h after SEA and TEA (p < 0.05), but there were no significant differences at other time points after SEA and TEA treatment (p > 0.05). SEA not only maintains the effect of TEA but also shortens the circulation loop of the electroacupuncture (EA) current in the body, which effectively avoids body injury.

Remote thermometers with a high spatiotemporal resolution are very desirable for applications in the life sciences, including photothermal therapy. Here, Chen et al. develop polymer coated gold nanorods with a temperature sensitivity of 80 mK and a 4 ms response time for thermometry in the life sciences.

Background and objective National Comprehensive Cancer Network (NCCN) guidelines recommend video-assisted thoracoscopic surgery (VATS) anatomical lobectomy as the first choice for the treatment of resectable lung cancer. However, sublobar resection offers significantly better functional preservation compared with lobectomy for stage I lung cancer. At present, the inferiority of sublobar resection to lobectomy is still uncertain. Herein, we compared the prognoses of these two types of surgical treatment for stage I lung adenocarcinoma. Methods Retrospective research was conducted on 258 patients with stage I lung adenocarcinomas who underwent VATS lobectomy and sublobar resection at the First Affiliated Hospital of Guangzhou Medical University between January 2009 and December 2011. VATS lobectomy was performed on 222 patients, and VATS sublobe resection was performed on 36 patients. Propensity score matching analyses were conducted on the two groups. Results A total of 70 patients were matched in the two groups. No significant difference was observed between the lobectomy and sublobar resection groups after matching (P=0.137). The disease-free survival (DFS) of the two groups were 49.3 and 42.7 months, and their overall survival (OS) were 50.3 and 49.0 months (P=0.122). Further, stratified analysis showed no significant differences in DFS and OS between the two groups with stage Ia lung adenocarcinoma. Nevertheless, the DFS and OS of the two groups significantly differed in matched patients with stage Ib lung adenocarcinomas. Conclusion Sublobar resection could achieve a similar prognosis to VATS lobectomy for stage Ia lung adenocarcinoma. Lobectomy should still be the first choice for the treatment of stage Ib lung adenocarcinoma.

Studies have shown that solar thermal power generation (STPG) can partially replace conventional power generation techniques, thus solving the global problem of energy shortage. Targeting a 70kW butterfly type STPG system, this paper discusses the impacts of solar radiation intensity on the concentrator, and analyses the economic efficiency of the system against such economic indices as internal rate of return (IRR), net present value (NPV) and levelized energy cost (LEC). The research results show that: When the solar radiation intensity is greater than 400W/m2, the proposed system can operate at above 70% of the full load without using natural gas; when the solar radiation intensity is greater than or equal to 700W/?, the system can operate at full load. The butterfly type STPG system requires more basic investment and has a longer payback period than common power generation systems. Besides, the combined generation mode incurs a far smaller energy cost (0.75kWh) than the generation mode dominated by solar power (2.045kWh). The on-grid electricity price has the greatest impact on the IRR and NPV, followed by basic system investment and natural gas price. The research findings lay the theoretical bases and provide economic references for the development of STPG systems.

As an effective computing technique, Kalman filter (KF) currently plays an important role in state of charge (SOC) estimation in battery management systems (BMS). However, the traditional KF with mean square error (MSE) loss faces some difficulties in handling the presence of non-Gaussian noise in the system. To ensure higher estimation accuracy under this condition, a robust SOC approach using correntropy unscented KF (CUKF) filter is proposed in this paper. The new approach was developed by replacing the MSE in traditional UKF with correntropy loss. As a robust estimation method, CUKF enables the estimate process to be achieved with stable and lower estimation error performance. To further improve the performance of CUKF, an adaptive update strategy of the process and measurement error covariance matrices was introduced into CUKF to design an adaptive CUKF (ACUKF). Experiment results showed that the proposed ACUKF-based SOC estimation method could achieve accurate estimate compared to CUKF, UKF, and adaptive UKF on real measurement data in the presence of non-Gaussian system noises.

Adoptive immunotherapy (AI) has been applied in the treatment of non-small-cell lung cancer (NSCLC) patients, but the value of postoperative AI has been inconclusive largely as a result of the small number of patients included in each study. We performed a systematic review and meta-analysis to address this issue for patients with postoperative NSCLC.Pubmed, Embase, Cochrane Library were searched for randomized controlled trials comparing adoptive immunotherapy with control therapies in postoperative NSCLC patients. The primary endpoint was overall survival. Hazard ratio (HR) was estimated and 95% confidence intervals (CI) were calculated using a fixed-effect model.Compared with control therapies, analyses of 4 randomized controlled trials (472 patients) showed a significant benefit of adoptive immunotherapy on survival (hazard ratio [HR] 0.61, 95% CI 0.45-0.84, p = 0.002), and a 39% reduction in the relative risk of death (no evidence of a difference between trials; p = 0.16, I² = 42%). In subgroup analyses by treatment cycles and treatment regimen, significant OS benefit was found in combination therapy of AI with chemotherapy, regardless of whether or not the treatment cycles were more than 10 cycles.Adoptive immunotherapy has the potential to improve overall survival in postoperative NSCLC. The findings suggest this is a valid treatment option for these patients. Further randomized clinical trials are urgently needed.

Despite advances in management over the last several decades, sepsis and acute respiratory distress syndrome (ARDS) still remain major clinical challenges and the leading causes of death for patients in intensive care units (ICUs) due to insufficient understanding of the pathophysiological mechanisms of these diseases. However, recent studies have shown that histones, also known as chromatin-basic structure proteins, could be released into the extracellular space during severe stress and physical challenges to the body (e.g., sepsis and ARDS). Due to their cytotoxic and proinflammatory effects, extracellular histones can lead to excessive and overwhelming cell damage and death, thus contributing to the pathogenesis of both sepsis and ARDS. In addition, antihistone-based treatments (e.g., neutralizing antibodies, activated protein C, and heparin) have shown protective effects and have significantly improved the outcomes of mice suffering from sepsis and ARDS. Here, we review researches related to the pathological role of histone in context of sepsis and ARDS and evaluate the potential value of histones as biomarkers and therapeutic targets of these diseases.

BACKGROUND: Heparin-induced thrombocytopenia is an immune response mediated by anti-PF4/heparin antibody, which is clinically characterized by thrombocytopenia and thromboembolic events. In this study, a prospective and multi-center clinical investigation 1) determined the positive rate of anti-PF4/heparin antibody in maintenance hemodialysis patients in China, 2) identified the related risk factors, and 3) further explored the effect of the anti-PF4/heparin antibody on bleeding, thromboembolic events, and risk of death in the patients. METHODS: The serum anti-PF4/heparin antibody was measured in 661 patients from nine hemodialysis centers, detected by IgG-specific ELISA and followed by confirmation with excess heparin. Risk factors of these patients were analyzed. Based on a two-year follow-up, the association between the anti-PF4/heparin antibody and bleeding, thromboembolic events, and risk of death in the patients was investigated. RESULTS: 1) The positivity rate of the anti-PF4/heparin antibody in maintenance hemodialysis patients was 5.6%. With diabetes as an independent risk factor, the positivity rate of the anti-PF4/heparin antibody decreased in the patients undergoing weekly dialyses ≥3 times. 2) The positivity rate of the anti-PF4/heparin antibody was not related to the occurrence of clinical thromboembolic events and was not a risk factor for death within two years in maintenance hemodialysis patients. 3) Negativity for the anti-PF4/heparin antibody combined with a reduction of the platelet count or combined with the administration of antiplatelet drugs yielded a significant increase in bleeding events. However, the composite determination of the anti-PF4/heparin antibody and thrombocytopenia, as well as the administration of antiplatelet drugs, was not predictive for the risk of thromboembolic events in the maintenance hemodialysis patients. CONCLUSIONS: A single detection of the anti-PF4/heparin antibody did not predict the occurrence of clinical bleeding, thromboembolic events, or risk of death in the maintenance hemodialysis patients.