Threshold effects of vegetation cover on production-living-ecological functions coordination in Xiangyang City, China.

Clarifying the nonlinear impacts of vegetation cover on production-living-ecological function (PLEF) coordination is essential to ecological restoration regulation and sustainable land use. However, the threshold effect of vegetation cover on PLEF coordination, particularly in major function-oriented zones (MFZs), has yet to receive attention. This study selected Xiangyang City, China, as the case area to identify the impact threshold of vegetation cover on PLEF coordination from the perspectives of the region as a whole and MFZ, respectively.

Willingness to accept COVID-19 vaccine among the elderly and the chronic disease population in China.

A cross-sectional field survey was conducted from November 2020 to January 2021 among 7259 participants to investigate the public perception, willingness, and information sources for COVID-19 vaccination, with the focus on the elderly and non-communicable chronic disease (NCD) population. Multiple logistic regressions were performed to identify associated factors of the vaccination willingness. The willingness rate of the elderly to accept the future COVID-19 vaccine (79.

Retrospective analysis of traumatic triradiate cartilage injury in children.

Background: To summarize and analyze the epidemiological characteristics, treatment and corresponding curative effect of triradiate cartilage injury(TCI) in children after trauma, to provide a theoretical basis for early diagnosis and improvement of treatment.

Methods: The TCI was classified according to Bucholz classification, and the final curative effect was evaluated with Harris Hip Score and imaging examination during follow-up. Finally, a comprehensive analysis was made by reviewing the cases in the literature combined with the patients in our hospital.

Identification of biomarkers associated with clinical severity of chronic obstructive pulmonary disease.

We sought to identify the biomarkers related to the clinical severity of stage I to stage IV chronic obstructive pulmonary disease (COPD). Gene expression profiles from the blood samples of COPD patients at each of the four stages were acquired from the Gene Expression Omnibus Database (GEO, accession number: GSE54837). Genes showing expression changes among the different stages were sorted by soft clustering.

Projections of land use changes under the plant functional type classification in different SSP-RCP scenarios in China.

Land use projections are crucial for climate models to forecast the impacts of land use changes on the Earth's system. However, the spatial resolution of existing global land use projections (e.g.

A novel efficient broadband model to derive daily surface solar Ultraviolet radiation (0.280-0.400 μm).

The climatic characteristics of solar Ultraviolet radiation (UV) are of vital important for the climate change and photochemical reactions. High-quality records of solar UV radiation are the premise for solar UV researches and applications, but solar UV radiation observations are sparse around the world. Among all wavelength of UV radiations, only UVA (0.

Noniterative Sparse LS-SVM Based on Globally Representative Point Selection.

A least squares support vector machine (LS-SVM) offers performance comparable to that of SVMs for classification and regression. The main limitation of LS-SVM is that it lacks sparsity compared with SVMs, making LS-SVM unsuitable for handling large-scale data due to computation and memory costs. To obtain sparse LS-SVM, several pruning methods based on an iterative strategy were recently proposed but did not consider the quantity constraint on the number of reserved support vectors, as widely used in real-life applications.

Cyberphysical Human Sexual Behavior Acquisition System (SeBA): Development and Implementation Study in China.

Background: Sexual health is one of the principal components of human well-being. Traditional methods for observing human sexual behavior typically adopt manual intervention approaches (eg, interviews). However, the data obtained by such traditional approaches suffer from intrinsic bias and limited sample sizes.

Global projections of future urban land expansion under shared socioeconomic pathways.

Despite its small land coverage, urban land and its expansion have exhibited profound impacts on global environments. Here, we present the scenario projections of global urban land expansion under the framework of the shared socioeconomic pathways (SSPs). Our projections feature a fine spatial resolution of 1 km to preserve spatial details.

Information Propagation Formalized Representation of Micro-blog Network Based on Petri Nets.

The description of user behavior in social networks is an important issue for studying social networks. Given that Petri nets can describe the resource flow problem, this study utilizes the features of Petri nets to portray the user behavior states during the message propagation of a micro-blog network and presents an information propagation formalized representation method of a micro-blog network. On this basis, this study analyzed the proposed formalized representation method in detail.

Simulating urban expansion and its impact on functional connectivity in the Three Gorges Reservoir Area.

Understanding the impact of urban expansion on functional connectivity is significant to biodiversity conservation. Particularly, in the Three Gorges Reservoir Area (TGRA, Southwest China), the urban land has rapidly expanded to provide settlements for an enormous population of TGRA migrants. However, the consequence of future land-use changes to the functional connectivity of the local habitat network has rarely been studied.

Discrete time information diffusion in online social networks: micro and macro perspectives.

Opinions shared publicly in online social networks spread broadly and at an extremely high speed. However, modelling information diffusion in online social networks is still a challenge that is intriguing to many researchers. To monitor public opinions online, it is necessary to model the process of information dissemination.

Cycle Based Network Centrality.

Paths and cycles are the two pivotal elements in a network. Here, we demonstrate that paths, particularly the shortest ones, are incomplete in information network. However, based on such paths, many network centrality measures are designed.

Assessing the impacts of urban sprawl on net primary productivity using fusion of Landsat and MODIS data.

Urbanization has profoundly altered the terrestrial ecosystem carbon cycle, especially the net primary productivity (NPP). Many attempts have been made to assess the influence of urbanization on NPP at coarse resolutions (e.g.

Micro-blog user community discovery using generalized SimRank edge weighting method.

Community discovery is one of the most popular issues in analyzing and understanding a network. Previous research suggests that the discovery can be enhanced by assigning weights to the edges of the network. This paper proposes a novel edge weighting method, which balances both local and global weighting based on the idea of shared neighbor ranging between users and the interpersonal significance of the social network community.

A Multiple Kernel Learning Model Based on -Norm.

By utilizing kernel functions, support vector machines (SVMs) successfully solve the linearly inseparable problems. Subsequently, its applicable areas have been greatly extended. Using multiple kernels (MKs) to improve the SVM classification accuracy has been a hot topic in the SVM research society for several years.

Diagnostic Value of T1 Slope in Degenerative Cervical Spondylotic Myelopathy.

BACKGROUND To explore the diagnostic value of sagittal measurement of thoracic inlet parameters for degenerative cervical spondylotic myelopathy (DCSM). MATERIAL AND METHODS Sixty patients with DCSM (study group) and the same number of normal subjects (control group) were initially enrolled in the study. All data from X-ray in the standing position and computed tomography (CT) in the supine position were collected and carefully analyzed.

Fast-Solving Quasi-Optimal LS-SVM Based on an Extended Candidate Set.

The semisupervised least squares support vector machine (LS-SVM) is an important enhancement of least squares support vector machines in semisupervised learning. Given that most data collected from the real world are without labels, semisupervised approaches are more applicable than standard supervised approaches. Although a few training methods for LS-SVM exist, the problem of deriving the optimal decision hyperplane efficiently and effectually has not been solved.

A CRISPR/Cas9 and Cre/Lox system-based express vaccine development strategy against re-emerging Pseudorabies virus.

Virus evolves rapidly to escape vaccine-induced immunity, posing a desperate demand for efficient vaccine development biotechnologies. Here we present an express vaccine development strategy based on CRISPR/Cas9 and Cre/Lox system against re-emerging Pseudorabies virus, which caused the recent devastating swine pseudorabies outbreak in China. By CRISPR/Cas9 system, the virulent genes of the newly isolated strain were simultaneously substituted by marker genes, which were subsequently excised using Cre/Lox system for vaccine safety concern.

[Clinical significance of continuous thrombocytopenia in predicting sepsis after severe burn].

Objective: To explore the relationship between continuous thrombocytopenia and sepsis in patients with severe burns.

Methods: Clinical data of 148 severely burned patients admitted to our,two burn centers from January 2007 to December 2011 and conforming to the study criteria were retrospectively analyzed. All patients were divided into sepsis group (n =44) and non-sepsis group (n = 104) according to the presence or absence of sepsis within post burn day (PBD) 30.

[Effect of high mobility group box protein 1 on the Kupffer cells of rats with severe burn and the role of receptor for advanced glycation end products in the process].

Objective: To investigate the effect of high mobility group box protein 1 (HMGB1) on the production of pro-inflammatory cytokines by Kupffer cell (KC) of rats with severe burn and the role of receptor for advanced glycation end products (RAGE) in the process.

Methods: Model of 30% TBSA full-thickness burn was reproduced in 32 SD rats through immersing the back in 98°C water for 12 s. KC (32 samples) was isolated from rat liver 24 h after injury and inoculated in 24-well plate in the concentration of 1×10(6) cell per well.

Sodium butyrate protects against severe burn-induced remote acute lung injury in rats.

High-mobility group box 1 protein (HMGB1), a ubiquitous nuclear protein, drives proinflammatory responses when released extracellularly. It plays a key role as a distal mediator in the development of acute lung injury (ALI). Sodium butyrate, an inhibitor of histone deacetylase, has been demonstrated to inhibit HMGB1 expression.

High-mobility group box-1 induces proinflammatory cytokines production of Kupffer cells through TLRs-dependent signaling pathway after burn injury.

Kupffer cells (KCs) were a significant source of cytokine release during the early stage of severe burns. High mobility group box protein 1 (HMGB1) was recently identified as a new type of proinflammatory cytokine. The ability of HMGB1 to generate inflammatory responses after burn trauma has not been well characterized.

Severe skin necrosis in adult: an unusual complication of fulminant meningococcal sepsis.

We report on a 20-year-old female high-school student with fulminant meningococcal sepsis presenting as severe skin necrosis in lower extremities. The wound surface affected 2% of her total body surface area and was covered with black eschar. The adipose tissue beneath the eschar was degenerated and turned to necrosis as to deep fascia and periosteum of lower tibia.

Association of platelet counts decline and mortality in severely burnt patients.

Although the dramatic fluctuation of platelet counts (PCs) has always been observed in severely burnt patients, the underlying relationship between the decline of PCs and mortality has never been well defined. In this study, we evaluated the prognostic implications of PC decline in severely burnt patients. We performed a 3-year retrospective chart of adult patients with a burn index of 50 or greater admitted to 2 burn centers.