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Background Since several studies have examined the use of direct oral anticoagulants (DOACs) in treating patients with splanchnic vein thrombosis (SVT), we conducted a meta-analyses to assess the safety and efficacy of DOACs compared to vitamin K antagonists (VKAs) in this population. Methods We conducted a comprehensive search using the PubMed, Embase, and Cochrane Library databases until June 2024. We used odds ratios (ORs) and 95% confidence intervals (CIs) as the effect measures to compare DOACs with VKAs. Results A total of 9 observational studies were included. The pooled analysis revealed that a trend towards higher complete recanalization rates with DOACs (71.4%) compared to VKAs (55.3%), though not statistically significant (OR 1.95; 95%CI 0.70 to 5.44). For SVT extension, a significant effect was observed favoring DOACs (OR 0.12; 95%CI 0.03 to 0.54). No significant differences were found in other efficacy outcomes or safety outcomes, except for major bleeding, which was significantly lower with DOACs (OR 0.27; 95%CI 0.13 to 0.56). Conclusion DOACs are superior to VKAs in SVT extension and major bleeding, suggesting that DOACs may be a favorable treatment option in the treatment of SVT.

Background Atrial fibrillation (AF) is prevalent among patients with end-stage kidney disease (ESKD) undergoing dialysis, and both conditions are associated with a heightened risk of cardiovascular diseases. Anticoagulation is essential for preventing thromboembolic complications in these patients. This study aimed to evaluate the effects of factor Xa inhibitors compared to vitamin K antagonists (VKAs) for AF patients on dialysis. Methods A comprehensive search of PubMed and Embase databases was conducted to identify relevant studies published up to June 2024. Eligible studies compared factor Xa inhibitors (rivaroxaban, apixaban, edoxaban) with VKAs in AF patients on dialysis, with primary outcomes of stroke or systemic embolism(SSE) and major bleeding. Results A total of 7 studies (3 randomized controlled trials and 4 observational cohorts) were included. For the RCTs, the use of factor Xa inhibitors was associated with a reduced risk of SSE compared to VKAs (odds ratio [OR] = 0.37, 95% confidence interval [CI]:0.15–0.93). There was no significant difference in the risk of major bleeding events between the two groups (OR = 0.65, 95%CI:0.32–1.33). Observational cohort studies yielded similar results with a decreased risk of SSE (hazard ratio [HR] = 0.74, 95%CI:0.57–0.96) and no significant difference in major bleeding (HR = 0.87, 95%CI:0.62–1.22). No differences in treatment effect between apixaban and rivaroxaban were observed for efficacy (p-interaction = 0.44) and safety (p-interaction = 0.21) outcomes. Conclusion Factor Xa inhibitors, particularly apixaban and rivaroxaban, were associated with a lower risk of SEE without an increase in major bleeding, which might be convenient alternatives to VKAs in managing AF in patients with ESKD on dialysis.

ABSTRACT: Chicken coccidiosis has inflicted significant economic losses upon the poultry industry. The primary strategies for preventing and controlling chicken coccidiosis include anticoccidial drugs and vaccination. However, these approaches face limitations, such as drug residues and resistance associated with anticoccidial drugs, and safety concerns related to live vaccines. Consequently, the urgent development of innovative vaccines, such as subunit vaccines, is imperative. In previous study, we screened 2 candidate antigens: Eimeria maxima lysophospholipase (EmLPL) and E. maxima regulatory T cell inducing molecule 1 (EmTregIM-1). To investigate the immune protective effect of the 2 candidate antigens against Eimeria maxima (E. maxima) infection, we constructed recombinant plasmids, namely pET-28a-EmLPL and pET-28a-EmTregIM-1, proceeded to induce the expression of recombinant proteins of EmLPL (rEmLPL) and EmTregIM-1 (rEmTregIM-1). The immunogenic properties of these proteins were confirmed through western blot analysis. Targeting EmLPL and EmTregIM-1, we developed subunit vaccines and encapsulated them in PLGA nanoparticles, resulting in nano-vaccines: PLGA-rEmLPL and PLGA-rEmTregIM-1. The efficacy of these vaccines was assessed through animal protection experiments. The results demonstrated that rEmLPL and rEmTregIM-1 were successfully recognized by anti-E. maxima chicken sera and His-conjugated mouse monoclonal antibodies. Immunization with both subunit and nano-vaccines containing EmLPL and EmTregIM-1 markedly mitigated weight loss and reduced oocyst shedding in chickens infected with E. maxima. Furthermore, the anticoccidial indexes (ACI) for both rEmLPL and PLGA-rEmLPL exceeded 160, whereas those for rEmTregIM-1 and PLGA-rEmTregIM-1 were above 120 but did not reach 160, indicating superior protective efficacy of the rEmLPL and PLGA-rEmLPL formulations. By contrast, the protection afforded by rEmTregIM-1 and PLGA-rEmTregIM-1 was comparatively lower. Thus, EmLPL is identified as a promising candidate antigen for vaccine development against E. maxima infection.

Quantitative simulation of urban waterlogging using computer models is an effective technical means for urban storm water management, especially for predicting and preventing waterlogging. In this study, a city in the northern Anhui Plain, China, was selected as the study site. The Storm Water Management Model was applied to simulate the dynamic changes in the pipeline overload, node overflow, and discharge port runoff characteristics from three perspectives: surface runoff, pipe network transmission, and flow control of low-impact development. The operation of the rainwater pipe network under different return periods and the real-time operation of the rainwater pipe network were simulated to seek solutions to urban waterlogging problems caused by flat terrain and slow drainage. The results revealed that surface runoff is the primary source of rainfall in the study area, with a runoff coefficient of 0.599. The drainage pipe network was optimized by expanding the diameter of the pipe from ≤1.5 mm to ≥2 mm. The water reduction rate was more than 50%, and overload did not occur after optimization. Therefore, sinking green space technology and optimization methods for expanding a pipe diameter can reduce urban waterlogging.

Chemical integrity plays a crucial role in maintaining the ecological integrity of aquatic ecosystems. Despite its significance, assessments of ecological integrity often prioritize biological evaluations, leading to infrequent and inadequate scrutiny of chemical integrity. Additionally, a comprehensive framework for separately assessing chemical integrity has not been established. To address this issue, we established a new index for evaluating chemical integrity, achieved through indicator screening, normalization, and weight assignment. Combined with the threshold indicator taxa analysis (TITAN) and Pearson correlation analysis, main evaluation indicators and their indicator species were identified and the corresponding response threshold was determined. These thresholds were then applied to improve the normalization method, with weights determined by indicator species proportions. This index was applied to evaluate the chemical integrity of the Huai River Basin, which is one of the largest basins in China. The results indicated that ammonia nitrogen (NH3-N), nitrate nitrogen (NO2-N), pH, and turbidity (Turb) were identified as the core parameters for evaluating chemical integrity. The conventional normalization method (max–min normalization) led to overestimation of the assessment results, whereas improved normalization method based on ecological threshold yielded better and more reasonable results. This study provided a reference for the selection of appropriate indicators and improvement of normalization method to better assess chemical integrity. And it would become a useful tool for monitoring and rehabilitating the chemical integrity in such basins.

This work investigated the effect of embedded metal wire nets on both double-point low-velocity impact (LVI) and compression-after-double-impact (CAI) behaviors of glass fiber-reinforced polymer (GFRP) laminates. The once-forming conventional GFRP laminates with metal wire nets are manufactured by the vacuum-assisted resin infusion (VARI) process. A novel fixture is designed to conduct the double-point LVI experiment with a different impact distance. The results, including impact response history and failure morphology, demonstrate that adding wire nets can improve the impact-resistance capacity of GFRP by dispersing the incident energy from the impact center to the outer region. Under the impact distance of 20 mm and impact energy of 60 J, the energy absorption rate of the wire net-hybrid laminates is 19.18% lower than that of the pure GFRP laminates. According to the scanning electron microscope (SEM), the damage on hybrid laminates is concentrated near the metal mesh, leading to a more extensive damage area. In the CAI tests, the performance of hybrid laminates is poorer than that of conventional GFRP under the condition of both high incident energy and distance.

ObjectiveTo determine the genetic etiology of a family pedigree with two patients affected by differences of sex development (DSD).MethodsAssess the clinical characteristics of the patients and achieve exome sequencing results and in vitro functional studies.ResultsThe 15-year-old proband, raised as female, presented with delayed puberty and short stature associated with atypical genitalia. Hormonal profile showed hypergonadotrophic hypogonadism. Imaging studies revealed the absence of a uterus and ovaries. The karyotype confirmed a 46, XY pattern. Her younger brother presented with a micropenis and hypoplastic scrotum with non-palpable testis and hypospadias. Laparoscopic exploration was performed on the younger brother. Streak gonads were found and removed due to the risk of neoplastic transformation. Post-operative histopathology showed the co-existence of Wolffian and Müllerian derivatives. Whole-exome sequencing identified a novel mutation (c.1223C>T, p. Ser408Leu) in the Asp-Glu-Ala-His-box helicase 37 gene, which was found to be deleterious by in silico analysis. Segregation analysis of the variant displayed a sex-limited, autosomal dominant, maternal inheritance pattern. In vitro experiments revealed that the substitution of 408Ser by Leu caused decreased DHX37 expression both at the mRNA and protein levels. Moreover, the β-catenin protein was upregulated, and the p53 protein was unaltered by mutant DHX37.ConclusionsWe described a novel mutation (c.1223C>T, p. Ser408Leu) of the DHX37 gene associated with a Chinese pedigree consisting of two 46, XY DSD patients. We speculated that the underlying molecular mechanism might involve upregulation of the β-catenin protein.

BackgroundArchitectural distortion (AD) is a common imaging manifestation of breast cancer, but is also seen in benign lesions. This study aimed to construct deep learning models using mask regional convolutional neural network (Mask-RCNN) for AD identification in full-field digital mammography (FFDM) and evaluate the performance of models for malignant AD diagnosis.MethodsThis retrospective diagnostic study was conducted at the Second Affiliated Hospital of Guangzhou University of Chinese Medicine between January 2011 and December 2020. Patients with AD in the breast in FFDM were included. Machine learning models for AD identification were developed using the Mask RCNN method. Receiver operating characteristics (ROC) curves, their areas under the curve (AUCs), and recall/sensitivity were used to evaluate the models. Models with the highest AUCs were selected for malignant AD diagnosis.ResultsA total of 349 AD patients (190 with malignant AD) were enrolled. EfficientNetV2, EfficientNetV1, ResNext, and ResNet were developed for AD identification, with AUCs of 0.89, 0.87, 0.81 and 0.79. The AUC of EfficientNetV2 was significantly higher than EfficientNetV1 (0.89 vs. 0.78, P=0.001) for malignant AD diagnosis, and the recall/sensitivity of the EfficientNetV2 model was 0.93.ConclusionThe Mask-RCNN-based EfficientNetV2 model has a good diagnostic value for malignant AD.

Reinforced concrete (RC) columns may be damaged under earthquakes or wind loads, which will severely affect their bearing capacity. Current damage evaluation methods are mainly based on displacement measurement, which makes evaluating local structural damage difficult. Therefore, this study proposes an RC column structural monitoring and evaluation method based on a distributed self-sensing basalt fiber reinforced polymer (BFRP) bar with optical fiber sensors inside. First, the self-sensing BFRP bar is introduced, including the sensing principle, inner structure, and basic sensing performance. It is found that the strain sensing coefficient of the proposed self-sensing BFRP bar presents only 2.2 % difference from that of the bare optical fiber sensor, meaning the BFRP package take no negative effect on the strain sensitivity. Second, the analytical methods of curvature and displacement are established based on the strain distribution measurement, in which the influence of bond-slip on parameter calculations is mainly considered. Finally, the proposed method was well verified by the loading tests of one RC column with self-sensing BFRP bars. Among the results, the absolute displacement measurement error increase with the development of structure damage, which can be even up to several mm after the steel yielding. However, the relative displacement measurement error can be still controlled within 20 % until the structure failure of the RC column. Considering the additional long-term performance of the proposed self-sensing BFRP bar, the proposed method is expected to implement long-term monitoring of RC columns.

Abstract Australia faces a dryness disaster whose impact may be mitigated by rainfall prediction. Being an incredibly challenging task, yet accurate prediction of rainfall plays an enormous role in policy making, decision making and organizing sustainable water resource systems. The ability to accurately predict rainfall patterns empowers civilizations. Though short-term rainfall predictions are provided by meteorological systems, long-term prediction of rainfall is challenging and has a lot of factors that lead to uncertainty. Historically, various researchers have experimented with several machine learning techniques in rainfall prediction with given weather conditions. However, in places like Australia where the climate is variable, finding the best method to model the complex rainfall process is a major challenge. The aim of this paper is to: (a) predict rainfall using machine learning algorithms and comparing the performance of different models. (b) Develop an optimized neural network and develop a prediction model using the neural network (c) to do a comparative study of new and existing prediction techniques using Australian rainfall data. In this paper, rainfall data collected over a span of ten years from 2007 to 2017, with the input from 26 geographically diverse locations have been used to develop the predictive models. The data was divided into training and testing sets for validation purposes. The results show that both traditional and neural network-based machine learning models can predict rainfall with more precision.

Actinobacillus pleuropneumoniae causes porcine pleuropneumonia. The function of the outer membrane protein W gene (ompW) of A. pleuropneumoniae has not been evaluated. Thus a deletion mutant of ompW, ΔompW, was constructed to explore the effect of ompW gene deletion on bacterial growth, biofilm formation, bacterial morphology, oxidative tolerance, susceptibility to antibiotics, and the expression of ribosome synthesis and ABC transporter related genes. Results showed that the ompW gene deletion did not affect biofilm formation and the growth of A. pleuropneumoniae but did affect bacterial morphology during steady growth, oxidative tolerance, and bacterial susceptibility to polymyxin B, kanamycin, and penicillin. The ompW gene deletion also affected the expression of ribosome synthesis and ABC transporter related genes. These results suggested that ompW may regulate the biological phenotype of A. pleuropneumoniae.

PurposeTo compare the mammographic malignant architectural distortion (AD) detection performance of radiologists who read mammographic examinations unaided versus those who read these examinations with the support of artificial intelligence (AI) systems.Material and MethodsThis retrospective case-control study was based on a double-reading of clinical mammograms between January 2011 and December 2016 at a large tertiary academic medical center. The study included 177 malignant and 90 benign architectural distortion (AD) patients. The model was built based on the ResNeXt-50 network. Algorithms used deep learning convolutional neural networks, feature classifiers, image analysis algorithms to depict AD and output a score that translated to malignant. The accuracy for malignant AD detection was evaluated using area under the curve (AUC).ResultsThe overall AUC was 0.733 (95% CI, 0.673-0.792) for Reader First-1, 0.652 (95% CI, 0.586-0.717) for Reader First-2, and 0.655 (95% CI, 0.590-0.719) for Reader First-3. and the overall AUCs for Reader Second-1, 2, 3 were 0.875 (95% CI, 0.830-0.919), 0.882 (95% CI, 0.839-0.926), 0.884 (95% CI, 0.841-0.927),respectively. The AUCs for all the reader-second radiologists were significantly higher than those for all the reader-first radiologists (Reader First-1 vs. Reader Second-1, P= 0.004). The overall AUC was 0.792 (95% CI, 0.660-0.925) for AI algorithms. The combination assessment of AI algorithms and Reader First-1 achieved an AUC of 0.880 (95% CI, 0.793-0.968), increased than the Reader First-1 alone and AI algorithms alone. AI algorithms alone achieved a specificity of 61.1% and a sensitivity of 80.6%. The specificity for Reader First-1 was 55.5%, and the sensitivity was 86.1%. The results of the combined assessment of AI and Reader First-1 showed a specificity of 72.7% and sensitivity of 91.7%. The performance showed significant improvements compared with AI alone (p

Marfan syndrome (MFS) is an autosomal dominant connective tissue disorder that canonically affects the ocular, skeletal, and cardiovascular system, in which aortic tear and rupture is the leading cause of death for MFS patients. Genetically, MFS is primarily associated with fibrillin-1 (FBN1) pathogenic variants. However, the disease-causing variant in approximately 10% of patients cannot be identified, partly due to some cryptic mutations that may be missed using routine exonic sequencing, such as non-coding intronic variants that affects the RNA splicing process. We present a 32-year female with typical MFS systemic presentation that reached to a clinical diagnosis according to the revised Ghent nosology. We performed whole-exome sequencing (WES) but the report failed to identify known causal variants when analyzing the exonic sequence. However, further investigation on the exon/intron boundaries of the WES report revealed a candidate intronic variant of the fibrillin 1 (FBN1) gene (c.248-3 C>G) that predicted to affect the RNA splicing process. We conducted minigene splicing analyses and demonstrated that the c.248-3 C>G variant abolished the canonical splicing site of intron 3, leading to activation of two cryptic splicing sites and causing insertion (c.248-1_248-2insAG and c.248-1_248-282ins). Our study not only characterizes an intronic variant to the mutational spectrum of the FBN1 gene in MFS and its aberrant effect on splicing, but highlights the importance to not neglect the exon/intron boundaries when reporting and assessing WES results. We point out the need of conducting functional analysis to verify the pathogenicity of intronic mutation, and the opportunity to re-consider the standard diagnostic approaches in cases of clinically diagnosed MFS with normal or variant of unknown significance genetic results.

This paper presents the damage location technology in glass fiber reinforced epoxy (GF/epoxy) composite laminates subject to low-velocity impact. Multi-walled carbon nanotube coated GF (MWCNT@GF) is designed and manufactured as the sensor. MWCNT@GF sensor is embedded into the laminates to form an in situ sensing network. Relative resistances of the sensors are recorded after the low-velocity impact test. An algorithm is compiled to deal with the relative resistance data and help showing the impact damage location on a contour map. Results show that the in situ monitoring method with embedded MWCNT@GF sensor could locate the impact damage with high accuracy.

The interlaminar peformance of composites palys an important role in the damage process of fiber reinforced composites. In-situ monitoring by an embedded sensor could avoid the sudden failure. This paper investigates the in-situ monitoring of mode I interlaminar crack propagationg behavior in woven glass fiber reinforced epoxy (WGF/epoxy) composite laminates. The resistance signal of multi-walled carbon nanotube (MWCNT) located in the mid-thickness of WGF/epoxy during the double cantilever beam (DCB) test is recorded. Relationship between the relative resistance and the interlaminar crack length is theoretically built and experimentally verified. Results show that the mode I crack propagating length can be successfully predicted by the relative resistance. A linear relationship between the interlaminar crack propagating length and the total relative resistance is found by the experimental and theoretical results.

The shape memory alloy reinforced composites have promising application potential for aerospace, automotive and biomedical engineering, while the interfacial bonding performance between shape memory alloy and polymer matrix is crucial to the improvement on the mechanical properties. The interfacial bonding mechanical properties are not uniform on the interface between shape memory alloy and the polymer matrix due to the existence of internal defects. Based on the cohesive zone model, an innovative finite element model is proposed to simulate the progressive damage behavior of the interfacial debonding between shape memory alloy and polymer matrix. The good agreement between the numerical results and the available experimental results indicates the validation of the proposed model. The progressive damage and connection of different positions of the interface between shape memory alloy and polymer matrix result in the final interfacial debonding behavior. Further, the effects of the shape memory alloy length-diameter ratio and embedded depth on the interface performance between shape memory alloy and polymer matrix are investigated.

We analyzed data collected from retail investors in the Chinese stock market from a Fintech mobile platform to find evidence of the self-fulfilling prophecy effect. We found a statistically significant correlation between the predicted and actual Shanghai Stock Exchange Composite Index (SSECI) as well as non-random deviation patterns. We also analyzed participating investor behaviors and discussed the implications and future research. Keywords: Stock market index, Prediction, Self-fulfilling prophecy effect, Fintech

We analyzed data collected from retail investors in the Chinese stock market from a Fintech mobile platform to find evidence of the self-fulfilling prophecy effect. We found a statistically significant correlation between the predicted and actual Shanghai Stock Exchange Composite Index (SSECI) as well as non-random deviation patterns. We also analyzed participating investor behaviors and discussed the implications and future research. Keywords: Stock market index, Prediction, Self-fulfilling prophecy effect, Fintech

Glossy privet fruit and Ecliptae herba (GE) as formula was used as traditional Chinese medicine for liver diseases. However, systematic research of GE in liver injury has been explored rarely. Here, we comprehensively investigate the hepato-protective effects of the mixture of GE on different models. Our data indicated that GE administration decreased the levels of ALT and AST in serum compared with the model group. The histopathological changes were markedly alleviated in the GE treated groups. In addition, expression of cytokines including TNF-α, IL-6 and TGF-β in liver tissue associated with liver injury was elevated in the model groups, but significantly decreased after GE treatment. Furthermore, we explored that activation of Kupffer cells in liver tissue were suppressed after treatment with GE. Therefore, the major mechanism of the liver protective effects of GE may be attributed to the inhibition of Kupffer cell activation.

Urbanization has brought devastating disasters to the species diversity of urban wetlands. However, due to the complexity of the urban environment, the process and causes of urban biodiversity distribution patterns are not clear. In this study, we explored the patterns and formation of spatial differentiation in zooplankton in the context of urbanization by using spatial instead of temporal methods to reveal the urbanization process in the urban intensive Huaihe River Basin. The results showed that the diversity of zooplankton decreased with increasing urbanization level, and the species composition in areas with different urbanization levels was significantly different. At the same time, the water quality of wetlands increased with decreasing urbanization level, which exhibited a significant positive correlation with the species richness of zooplankton. Total nitrogen (TN), total phosphorus (TP) and ammonium nitrogen (NH4+-N) were the main factors affecting the spatial differentiation pattern of zooplankton. Moreover, the increase in nutrients changed the structure of zooplankton functional groups, while rotifers showed strong resistance to pollution. The inhibition of chromium (Cr) on the density of zooplankton functional groups should not be ignored. The results reveal the spatial differentiation mechanism of zooplankton in the process of urbanization and emphasize the necessity of urban wetland ecological restoration and habitat reconstruction.

Abstract Background The adipocyte remodeling, including of the morphological change, might indicate special pathological function. Our previous study found that the morphological remodeling of larger marrow adipocytes into small marrow adipocytes correlates with a poor prognosis for acute myeloid leukemia (AML) patients. However, the mechanisms contributed to the marrow adipocyte remodeling are still poorly understood. Methods GDF15 expression was analyzed by RT-qPCR and western blotting assays in the leukemic cells. The enhancing and antibody neutralization tests in vitro were employed to evaluate the effect of GDF15 on the morphology of mature adipocytes. CCK8 test was used to detect the proliferation of leukemic cells after co-cultivation with small marrow adipocytes. Flow cytometry was used to analysis the proportion of cell cycle of leukemic cells. Immunofluorescence staining and linear analysis were applied to verify the GDF15 expression and the relationship between GDF15 and small marrow adipocytes in AML patients. Results In this study, we found that leukemic cell lines not only expressed significantly higher growth differentiation factor 15 (GDF15) than the other three cytokines associated with adipocyte differentiation in RNA level but also secreted GDF15 factor. Furthermore, the in vitro experiments demonstrated that GDF15 was involved in the conversion of small marrow adipocytes from larger marrow adipocytes. Correspondingly, the leukemic cells proliferated more rapidly through regulating the cell cycle when co-cultured with GDF15-induced small marrow adipocytes. The immunofluorescence staining on the bone marrow sections of AML patients further exhibited that GDF15 was partly produced by leukemic cells. The positive correlation between the concentration of GDF15 in the marrow aspirates and the number and the volume of small marrow adipocytes might suggest the contribution of GDF15 in AML patients (r = 0.72, r = 0.67). Conclusions GDF15 secreted by leukemic cells was involved in the morphological remodeling of marrow adipocytes, which can in turn promote leukemic cell growth, indicating that GDF15 may be a promising treatment target for AML patients.

Background/Aims: Chemotherapy is still the main strategy used to prevent the relapse of acute myeloid leukaemia (AML). As the most abundant stromal component in bone marrow (BM), marrow adipocytes have been previously shown to promote leukaemogenesis. The present study was designed to further validate whether marrow adipocytes exert synergistic effects on strengthening chemotherapeutic efficacy and evaluate the underlying mechanism. Methods: A retrospective study of BM biopsies from 80 patients with AML in remission and 71 control subjects was applied to quantitatively analyse the marrow adipocyte volume. Toxicity tests were used to assess the effect of chemotherapy drugs on BM cells. The possible mechanisms by which chemotherapy regulated the reduced marrow adipocyte content were investigated using antibody neutralization experiments, with an emphasis on growth differentiation factor 15 (GDF15). Results: In our study, the marrow adipocyte content was obviously reduced in the AML- complete remission (CR) group compared with the control group (P

A kind of community detection method based on the combination of modularity and community structure attributes was proposed.Firstly,updating the whole network after communities merging every time could result in the high time complexity,therefore,introducing propagation distance parameter and “merger going after label propagation” was utilized to reduce time complexity.Secondly,CDMM-LPA algorithm was proposed by combing label propagation with community structure.Finally,empirical analysis on data networks verified the validity of the approaches.The experimental results show that the CDMM-LPA algorithm has a high modularity value and a more stable community structure while reducing the time complexity.

This paper takes the project management of real estate development enterprises as the research object. The five elements of progress, quality, cost, safety and risk are selected to establish a maturity evaluation index system. Aiming at the target layer, element layer and index layer based on the application of BIM technology, this paper constructs the corresponding maturity model, and conducts case analysis on the enterprise project management level before and after the application of BIM technology to verify the application effect of BIM technology. The research results provide important management theories, standards and tools for improving the application effect of BIM technology.

GLP-1, an important incretin hormone plays an important role in the regulation of glucose homeostasis. However, the therapeutic use of native GLP-1 is limited due to its short half-life. We recently developed a novel GLP-1 mimetics (supaglutide) by genetically engineering recombinant fusion protein production techniques. We demonstrated that this formulation possessed long-lasting GLP-1 actions and was effective in glycemic control in both type 1 and type 2 diabetes rodent models. Here, we investigated the effects of supaglutide in regulating energy homeostasis in obese mice. Mice were fed with high-fat diet (HFD) for 6 months to induce obesity and then subjected to supaglutide treatment (300 μg/kg, bi-weekly for 4 weeks), and placebo as control. Metabolic conditions were monitored and energy expenditure was assessed by indirect calorimetry (CLAMS). Cold tolerance test was performed to evaluate brown-adipose tissue (BAT) activities in response to cold challenge. Glucose tolerance and insulin resistance were evaluated by intraperitoneal glucose tolerance test and insulin tolerance tests. Liver and adipose tissues were collected for histology analysis. Expression of uncoupling protein 1(Ucp1) in adipose tissues was evaluated by Western blotting. We found that supaglutide treatment reduced body weight, which was associated with reduced food intake. Compared to the placebo control, supaglutide treatment improved lipid profile, i.e., significantly decreased circulating total cholesterol levels, declined serum triglyceride, and free fatty acid levels. Importantly, the intervention significantly reduced fatty liver, decreased liver triglyceride content, and concomitantly ameliorated liver injury exemplified by declined hepatic alanine aminotransferase (ALT) and aspartic transaminase (AST) content. Remarkably, supaglutide reduced hepatic lipid accumulation and altered morphometry in favor of small adipocytes in fat. This is consistent with the observation that supaglutide increased tolerance of the mice to cold environment associated with up-regulation of Ucp1 in the inguinal fat. Furthermore, supaglutide improved glucose tolerance, and insulin sensitivity in the obese mice suggesting improved glucose and energy homeostasis. Our findings suggest that supaglutide exerts beneficial effect on established obesity through reducing energy intake and is associated with brown remodeling of white adipose tissue.

As a result of the high specific strength/stiffness to mass ratio, filament wound composite pressure vessels are extensively used to contain gas or fluid under pressure. The ability to in-situ monitor the composite pressure vessels for possible damage is important for high-pressure medium storage industries. This paper describes an in-situ monitoring method to permanently monitor composite pressure vessels for their structural integrity. The sensor is made of a multi-walled carbon nanotube (MWCNT) that can be embedded in the composite skin of the pressure vessels. The sensing ability of the sensor is firstly evaluated in various mechanical tests, and in-situ monitoring experiments of a full-scale composite pressure vessel during hydraulic fatigue cycling and pressurization are performed. The monitoring results of the MWCNT sensor are compared with the strains measured by the strain gauges. The results show that the measured signal by the developed sensor matches the mechanical behavior of the composite laminates under various load conditions. In the hydraulic fatigue test, the relationship between the resistance and the strain is built, and could be used to quantitative monitor the filament wound pressure vessel. The bursting of the pressure vessel can be detected by the sharp increase of the MWCNT sensor resistance. Embedding the MWCNT sensor into the composite pressure vessel is successfully demonstrated as a promising method for structural health monitoring.

Actinobacillus pleuropneumoniae is the etiologic agent of porcine contagious pleuropneumonia, a cause of considerable world wide economic losses in the swine industry. We sequenced the complete genome of A. pleuropneumoniae, JL03, an isolate of serotype 3 prevalent in China. Its genome is a single chromosome of 2,242,062 base pairs containing 2,097 predicted protein-coding sequences, six ribosomal rRNA operons, and 63 tRNA genes. Preliminary analysis of the genomic sequence and the functions of the encoded proteins not only confirmed the present physiological and pathological knowledge but also offered new insights into the metabolic and virulence characteristics of this important pathogen. We identified a full spectrum of genes related to its characteristic chemoheterotrophic catabolism of fermentation and respiration with an incomplete TCA system for anabolism. In addition to confirming the lack of ApxI toxin, identification of a nonsense mutation in apxIVA and a 5'-proximal truncation of the flp operon deleting both its promoter and the flp1flp2tadV genes have provided convincing scenarios for the low virulence property of JL03. Comparative genomic analysis using the available sequences of other serotypes, probable strain (serotype)-specific genomic islands related to capsular polysaccharides and lipopolysaccharide O-antigen biosyntheses were identified in JL03, which provides a foundation for future research into the mechanisms of serotypic diversity of A. pleuropneumoniae.

Biomaterials derived via programmable supramolecular protein assembly provide a viable means of constructing precisely defined structures. Here, we present programmed superstructures of AuPt nanoparticles (NPs) on carbon nanotubes (CNTs) that exhibit distinct electrocatalytic activities with respect to the nanoparticle positions via rationally modulated peptide-mediated assembly. De novo designed peptides assemble into six-helix bundles along the CNT axis to form a suprahelical structure. Surface cysteine residues of the peptides create AuPt-specific nucleation site, which allow for precise positioning of NPs onto helical geometries, as confirmed by 3-D reconstruction using electron tomography. The electrocatalytic model system, i.e., AuPt for oxygen reduction, yields electrochemical response signals that reflect the controlled arrangement of NPs in the intended assemblies. Our design approach can be expanded to versatile fields to build sophisticated functional assemblies.

Photodynamic therapy shows promise for glioma treatment with powerful efficacy and low resistance, however, its effectiveness is significantly lowered by inadequate light delivery through the skull. Herein, a needle‐type implantable microLED device and cathepsin B‐responsive prodrug nanoparticles (PNPs) are newly exploited for glioma's chemo‐photodynamic combination therapy. The microLED containing four small LEDs on the tip of its guide needle can be implanted into the center of glioma tissues without large area opening of skull, uniformly irradiating light to deep glioma tissues. PNPs are formulated via self‐assembly of heterobifunctional prodrug composed of doxorubicin, verteporfin, and cathepsin B‐cleavable peptide linker, wherein they stably maintain inactive nanoparticle structures in normal physiological conditions and specifically deliver therapeutic age to cathepsin B‐overexpressed glioma tissues. In vitro cellular assays, PNPs irradiated with showed the synergistic cytotoxicity of DOX and VFP only in cathepsin B‐overexpressed cancer cells rather than normal cells. In tumor‐bearing mice, PNPs showed high tumor accumulation via the nanoparticle‐driven enhanced permeation and retention (EPR) effect and they also exhibited remarkable therapeutic efficacy against glioma under microLED‐mediated light irradiation via chemo‐photodynamic combination therapy. Accordingly, applying microLED with PNPs is an outstanding strategy to defeat glioma with cooperative chemo‐photodynamic effects, minimal invasiveness, and desirable systemic/local safety. [ABSTRACT FROM AUTHOR]