The outbreak of the 2019-nCoV infection began in December 2019 in Wuhan, Hubei province, and rapidly spread to many provinces in China as well as other countries. Here we report the epidemiological, ...clinical, laboratory, and radiological characteristics, as well as potential biomarkers for predicting disease severity in 2019-nCoV-infected patients in Shenzhen, China. All 12 cases of the 2019-nCoV-infected patients developed pneumonia and half of them developed acute respiratory distress syndrome (ARDS). The most common laboratory abnormalities were hypoalbuminemia, lymphopenia, decreased percentage of lymphocytes (LYM) and neutrophils (NEU), elevated C-reactive protein (CRP) and lactate dehydrogenase (LDH), and decreased CD8 count. The viral load of 2019-nCoV detected from patient respiratory tracts was positively linked to lung disease severity. ALB, LYM, LYM (%), LDH, NEU (%), and CRP were highly correlated to the acute lung injury. Age, viral load, lung injury score, and blood biochemistry indexes, albumin (ALB), CRP, LDH, LYM (%), LYM, and NEU (%), may be predictors of disease severity. Moreover, the Angiotensin II level in the plasma sample from 2019-nCoV infected patients was markedly elevated and linearly associated to viral load and lung injury. Our results suggest a number of potential diagnosis biomarkers and angiotensin receptor blocker (ARB) drugs for potential repurposing treatment of 2019-nCoV infection.
Heavy metals have always been a research hotspot due to their persistence, hazard and bioaccumulation. Microorganisms are highly sensitive to heavy metal pollution and play an important role in the ...material cycling and energy flow of the ecosystem. In order to further explore the influence of heavy metals on the diversity, composition, and function of microbial communities in the wetland sediment ecosystem, and to find suitable indicators to reflect heavy metal pollution status, we collected sediments from Huangjinxia nature reserve and determined the physicochemical properties, heavy metal (Cu, Cr, Ni, Pb, Zn, and Mn) concentrations, and microbial information. We found that: the contamination status of the study area stood at a moderate level evaluated by the pollution load index (PLI); heavy metals explained more of microbial community variation than the sediment physicochemical properties; in particular, Cr and Mn negatively affected microbial α-diversity; heavy metals significantly affected the structure of microbial communities, elements Cr, Pb, and Zn showed uniformly negative associations with the relative abundance of bacteria Nitrospirae (including class Nitrospira and order Nitrospirales), Bacteroidetes (including class Bacteroidia), and Verrucomicrobia; moreover, heavy metals affected predicted functions of microbial communities, including metabolic functions, genetic information processes, and functions related to the carbon cycle and the nitrogen cycle. Based on the relative abundance of sensitive microbial taxa and predicted functions, bioindicators Bacteroidia, 1/Nitrospira, 1/Nitrification, and 1/Aerobic nitrite oxidation were established to reflect and predict the contamination status of heavy metals in sediments. Our in-depth research on the effects of heavy metals on microorganisms and the establishment of bioindicators provide references and new perspectives for environmental monitoring and management.
Display omitted
•Heavy metals had significant effects on various functions of microbial communities.•Cr and Mn had significant negative effects on microbial α-diversity.•Cr, Pb, and Zn had negative effects on the abundance of certain microbial taxa.•Bioindicators were established based on sensitive microbial taxa and functions.
In this paper, a novel fractional-order sliding mode control strategy is introduced to synchronize two nonidentical fractional order neural networks (FNNs) in finite time. Firstly, by applying ...fractional-order calculation, the properties of the global asymptotical stability and convergence in finite time are developed for the fractional-order differential equation system. Secondly, based on the proposed principle of convergence in finite time, a new fractional-order sliding mode surface is presented and its global stability in finite time is analytically proved. In addition, an appropriate sliding mode controller is designed to drive the state trajectories of error system to the prescribed sliding surface in finite time and remain on it evermore. Meanwhile, by means of the fractional Lyapunov-like approach, the global projective synchronization condition is given, and the synchronization time is explicitly evaluated. As the special case, some sufficient conditions are given to guarantee global complete synchronization, anti-synchronization and stabilization of nonidentical FNNs. Finally, an example is given to demonstrate the validity of the proposed method.
Estuarine and coastal ecosystems are often considered vulnerable due to the complex biogeochemical processes and the human disturbances through a variety of pollution. Among environmental ...contaminants, heavy metals in estuarine and coastal ecosystems have been of increasing concern in environmental conservation. Long-term exposure to heavy metal contamination, mainly through food and water, could be harmful to human health. It is therefore critical to understand the quantitative comparisons and combined effects of different heavy metals in common seafood species, such as oysters. This work studied the long-term spatiotemporal trends and health risk assessment of oyster arsenic (As), cadmium (Cd), copper (Cu), mercury (Hg), lead (Pb), and zinc (Zn) levels in the coastal waters of northern South China Sea. Cultured oysters (
Crassostrea rivularis
) from 23 estuaries and harbors in the coastal areas of northern South China Sea in 1989–2015 were analyzed for the spatiotemporal trends of the six heavy metal levels. Metal pollution index (MPI), target hazard quotient (THQ), and hazard index (HI) were used for quantifying the exposure of the six heavy metals to human health through oyster consumption. Principal component analysis (PCA) was used for assessing the relative importance of the six metals in oyster heavy metal distribution patterns in the northern South China Sea. Overall, the As, Cd, Cu, Hg, Pb, and Zn levels in oysters from the northern South China Sea generally declined from 1989 to 2015, stayed relatively high (MPI = 2.42–3.68) during 1989–2000, gradually decreased since 2000, and slightly increased after 2010. Oyster heavy metal levels were highest in the Pearl River Estuary (MPI = 1.20–5.52), followed by west Guangdong and east Guangdong, Guangxi, and Hainan coastal waters. This pattern is probably because economics and industry around the Pearl River Estuary have been growing faster than the other areas of this work in the recent two decades, and it should be taken as a hotspot for the monitoring of seafood safety in southern China. Principal component analysis indicated that Cu, Zn, and Cd were the most important metals in the long-term distributions of oyster heavy metal levels in the northern South China Sea. Health risk assessment suggested that the risk of the six heavy metals exposure through oyster consumption were relatively high during 1989–2005 (THQ = 1.01–5.82), significantly decreased since 2005 (THQ < 1), and slightly increased after 2010.
With the rapid accumulation of scRNA-seq data, more and more automatic cell type identification methods have been developed, especially those based on deep learning. Although these methods have ...reached relatively high prediction accuracy, many issues still exist. One is the interpretability. The second is how to deal with the non-standard test samples that are not encountered in the training process.
Here we introduce scCapsNet-mask, an updated version of scCapsNet. The scCapsNet-mask provides a reasonable solution to the issues of interpretability and non-standard test samples. Firstly, the scCapsNet-mask utilizes a mask to ease the task of model interpretation in the original scCapsNet. The results show that scCapsNet-mask could constrain the coupling coefficients, and make a one-to-one correspondence between the primary capsules and type capsules. Secondly, the scCapsNet-mask can process non-standard samples more reasonably. In one example, the scCapsNet-mask was trained on the committed cells, and then tested on less differentiated cells as the non-standard samples. It could not only estimate the lineage bias of less differentiated cells, but also distinguish the development stages more accurately than traditional machine learning models. Therefore, the pseudo-temporal order of cells for each lineage could be established. Following these pseudo-temporal order, lineage specific genes exhibit a gradual increase expression pattern and stem cell associated genes exhibit a gradual decrease expression pattern. In another example, the scCapsNet-mask was trained on scRNA-seq data, and then used to assign cell type in spatial transcriptomics that may contain non-standard sample of doublets. The results show that the scCapsNet-mask not only restored the spatial map but also identified several non-standard samples of doublet.
The scCapsNet-mask offers a suitable solution to the challenge of interpretability and non-standard test samples. By adding a mask, it has the advantages of automatic processing and easy interpretation compared with the original scCapsNet. In addition, the scCapsNet-mask could more accurately reflect the composition of non-standard test samples than traditional machine learning methods. Therefore, it can extend its applicability in functional analysis, such as fate bias prediction in less differentiated cells and cell type assignment in spatial transcriptomics.
Ovarian cancer is one of the gynecological malignancies ranked third in incidence and first in mortality in the world. Homoboxb8 (HOXB8) has been demonstrated to play crucial roles in various tumors. ...However, the function of HOXB8 in ovarian cancer remains to be addressed. Quantitative real-time polymerase chain reaction, immunohistochemistry staining and western blot assays demonstrated that HOXB8 expression was up-regulated in human ovarian cancer tissues and cells. The results of CCK-8 and colony formation assays indicated that HOXB8 promoted the proliferation of ovarian cancer cells. Transwell and immunofluorescence (IF) staining assay demonstrated that HOXB8 promoted the migration and invasion of ovarian cancer cells. Importantly, mechanism analysis implied that HOXB8 increased the expression of β-catenin and phosphorylation of STAT3, and the downstream target molecules of Cyclin D1, c-Myc, TWIST1, MMP7 and MMP9, indicating that HOXB8 could promote the activation of Wnt/β-catenin and STAT3 pathways. Moreover, HOXB8 knockdown suppressed xenograft tumor growth, and inhibited the levels of HOXB8 and Ki-67, while increasing the level of E-cadherin in mice. In conclusion, HOXB8 promotes cell proliferation, migration and invasion through modulating Wnt/β-catenin and STAT3 signaling pathways in ovarian cancer, suggesting that HOXB8 may provide a promising target for the therapy of ovarian cancer.
Graphical abstract
According to UNESCO statistics, the People's Republic of China (PRC) sends far more students to study overseas than any other country in the world. Similarly, from the receiving countries' point of ...view, PRC students form by far the highest proportion of international students. In many respects, this is a success story, but it also poses a number of risks to universities. This paper focuses on one of those key risks that of student dissatisfaction (including from PRC students themselves). Using a sequential mixed-method study, it addresses two research questions: (a) Chinese students' level of satisfaction with their social integration into the university community and (b) the barriers that Chinese students' perceive in becoming more socially integrated into the university student community. The research finds that many Chinese students are dissatisfied with their range of friendships and that they find it more challenging to socialise with students of other nationalities than other students do. They point out a number of barriers to integration, with cultural distance playing a major role, but also argue for the impact of individual factors. The paper concludes by considering the implications for universities and suggestions for further research. (HRK / Abstract übernommen).
An understanding of the effect of twinning activity on deformation features is of great importance to broaden the application of Mg-alloy sheets. The activation of deformation mode is related closely ...to the grain orientations, as well as additional applied load direction of Mg-alloy sheets. We applied in-plane pre-strain paths combined with pre-rolling and pre-compression in the transverse and extrusion directions to evaluate the grain-boundary effects as influenced by texture variation. Texture change via twinning deformation can improve the stretch formability of sheet thinning at room temperature. Twin-texture components on the {101(—)2} direction induced by pre-compression offer an excellent opportunity to accommodate thickness strain under stretch forming.
Display omitted
•Twin-texture components were induced by in-plane pre-strain paths.•In-plane pre-strain paths combined with pre-rolling and pre-compression.•Texture change via twinning deformation improves the deformation capability of sheet thinning.
Whether natural wetlands serve as the source or sink of greenhouse gases (GHGs) remains uncertain. Wetlands in China are diverse in type and abundant in quantity and differ greatly in spatial ...distribution, environmental conditions, and GHG fluxes. However, few studies focused on the differences in GHG emissions from different types of natural wetlands. Here, we adopted strict data collection criteria to create comprehensive and detailed datasets of fluxes of carbon dioxide (CO
2
), methane (CH
4
), and nitrous oxide (N
2
O) from the marsh, coastal, lake, and river wetlands in China, and relevant environmental variables. Our study synthesized 265 field observations on GHGs that lasted at least one year (covering both the growing season and non-growing season) from 109 studies, among which CO
2
measurements using the opaque chamber method were not included for eliminating the influence of absence of photosynthesis on net CO
2
accounting. We found that CH
4
contributed the largest warming effect among the three types of GHGs, and coastal and river wetlands respectively acted as the mitigators and motivators of global warming among the four types of wetlands. Correlation and regression analyses suggested that geographic location, soil moisture and organic carbon, and contents of nitrogen, phosphorus, and dissolved oxygen jointly drove wetland GHG fluxes. The comprehensive global warming potential of Chinese natural wetlands was estimated as 427 Tg CO
2
-equivalents year
−1
, which might result from increased wetland drainage, reclamation, and external nutrient inputs. This study highlights the incorporation of the full year-round GHG monitoring data without using opaque chambers to measure CO
2
flux when extrapolating net GHG emissions and gives implications for natural wetland management and global warming mitigation strategies.
The strategy of the Silk Road Economic Belt in China has promoted the urban development of the backward regions in the west, but it might also cause serious eco-environmental concerns. Studying the ...coupling relationship between urbanization and the eco-environment (UEE) is essential to promote the sustainable development in backward regions. This study developed a combined method of coupling coordination degree (CCD) model, linear regression, and gray relational analysis (GRA) model to investigate the spatio-temporal coupling relationship and the influencing factors between UEE in Ningxia Hui Autonomous Region (NHAR), a typical backward region along the Silk Road Economic Belt. Results show that (1) the economic urbanization and eco-environmental pressure made the largest contribution to the system of urbanization and eco-environment, respectively. (2) The overall CCD in NHAR showed a linear upward trend from 2001 to 2018, while the CCD of each district presented significant spatial difference. The CCDs in the more developed northern regions were generally higher than those in southern mountainous regions. (3) Furthermore, population factors were the main mechanism imposing stress on the eco-environment, and the factors of eco-environmental status had higher restrictive effect on urban development in NHAR. This study could provide theoretical basis for investigating the interaction between UEE in backward regions, which might enable policymakers to formulate targeted sustainable development plans.
PDF
