China is in a phase of high-quality development, where scientific and technological innovations are serving as the primary driving force for its development strategy. This emphasis on innovations is ...expected to fuel the upgrading of the industrial structure. This study investigates the role of scientific and technological innovations in industrial upgradation in China using spatial econometric analysis. Leveraging the data of 31 provinces of China from 2005 to 2022, we employed a spatial Durbin model to determine the spatial spillover effects of scientific and technological innovations on industrial upgradation. Our findings reveal the significant positive spatial spillover effects, indicating that provinces with higher levels of scientific and technological innovations tend to experience greater industrial upgradation, which in turn contributes to regional economic development. Furthermore, the findings suggest a strong spatial correlation between innovation and the upgrading of industrial structures, indicating that regional innovations have the potential to drive China's industrial upgradation. These results underscore the critical role of scientific and technological innovations in promoting industrial upgradation and regional development in China.
PM2.5 samples in four representative periods were collected from a highly industrialized district in Shanghai, China. The concentrations of PM2.5 and PM2.5-bound PAHs were analyzed. Positive matrix ...factorization (PMF) model was used to identify the potential sources. Relationship between PAHs distribution and meteorological parameters was assessed meanwhile. The incremental lifetime cancer risks (ILCRs) model was applied to quantitatively evaluate the exposure risk of PAHs. Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLT) model was used to track the potential pollution area of PM2.5 along with a Potential Source Contribution Function (PSCF) and Concentration Weighted Trajectory (CWT) methods. The results showed concentrations of PM2.5 and PAHs ranged from 14.83 to 185.58 μg/m3, 2.58 to 123.62 ng/m3, respectively. The source apportionment model indicated that traffic emissions were the most important sources in each sampling season, which accounted for 38.44%, 34.48%, 39.04% and 45.03%, respectively. Spearman correlation coefficient showed that PAHs had negative correlation with ambient temperature and relative humidity in some periods, while had no significant correlation with atmospheric pressure and visibility. The average estimated lifetime cancer risk for total PAHs reached 4.7 × 10−5, 4.5 × 10−5 and 4.1 × 10−5, 4.0 × 10−5 to exposed children and adults in winter and autumn, respectively, meaning that PM2.5-bound PAHs had high potential risk. HYSPLIT model suggested that monsoon greatly influenced the air quality in both winter and autumn.
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•PM2.5 concentrations were obviously higher than US air quality standards.•PMF identified traffic emissions as the major source of PM2.5-bound PAHs.•The relationship between PM2.5 and PAHs was positive.•ILCRs indicated high cancer risks in autumn and winter.•HYSPLIT showed monsoon greatly influenced the PM2.5 concentrations.
Nowadays, countless industrial IIoT contraptions and sensors are conveyed a sharp plant to gather tremendous information regarding system conditions and a computerized bodily framework for handling ...industrial plant's mist point of convergence by using keen assembling projects. By then, the system utilizes an array of condition‐based support model (CBM) procedures to predict when devices begin to unusually work and to keep them up or supplant their fragments ahead of time to avoid assembling colossal investigator items in smart manufacturing industries. CBM experiences problems of floating ideas (ie, conveying examples of deficiencies can change extra time) and information of lop‐sidedness (ie, information with issues represents a minority of all things considered). The condition‐based support assisted learning technique by the group that coordinates the assorted variety of numerous classifiers provides an elite response to address these issues. Therefore, in this work the proposed work classifies offline three‐organized CBM with floats of ideas and awkwardness data, using an improved Dynamic AdaBoost for preparing a group classifier and an enhanced linear four rates (LFR) methodology is used by the classifier of nominal and continuous (NC) with synthetic minority oversampling technique (SMOTE) method to tackle inconsistent information in recognizing concept floats in lop‐sidedness information. The investigational results scheduled datasets by varying notches anomaly demonstration that the future strategy has a high degree of accuracy in the identifiable evidence of minority knowledge, which is over 96%.
Background: Lung cancer is a major health concern globally, being the primary cause of cancer-related deaths. It accounts for approximately one–sixth of all cancer fatalities. Objective: The goal of ...this study is to develop an effective method for the early detection of lung tumors using computed tomography (CT) images. This method aims to identify lung tumors of various sizes and shapes, which is a significant challenge due to the variability in tumor characteristics. Methods: The research utilizes CT images of the lungs in sagittal view from the LID-IDRI database. To tackle the issue of tumor variability in size, shape, and number, the study proposes a novel image processing technique. This technique involves detecting tumor clusters using a weighted average-based automatic thresholding method. This method focuses on maximizing inter-class variance and is supplemented by further classification and segmentation processes. Results: The proposed image processing technique was tested on a dataset of 315 lung CT images. It demonstrated a high level of accuracy, achieving a 98.96% success rate in identifying lung tumors. Conclusion: The study introduces a highly effective method for the detection of lung tumors in CT images, irrespective of their size and shape. The technique’s high accuracy rate suggests it could be a valuable tool in the early diagnosis of lung cancer, potentially leading to improved patient outcomes.
Numerous studies have demonstrated that bacteriophages (phages) can effectively treat intestinal bacterial infections. However, research on the impact of phages on overall body health once they enter ...the intestine is limited. This study utilized weaned piglets as subjects to evaluate the systemic effects of an orally administered phage cocktail on their health. Twelve 21-day-old weaned piglets were divided into control (CON) and phage gavage (Phages) groups. The phage cocktail consisted of five lytic phages, targeting
serovar Choleraesuis (
), Enteropathogenic
(EPEC), and Shiga tox-in-producing
(STEC). The phages group received 10 mL of phage cocktail orally for 20 consecutive days. The results show that the phage gavage did not affect the piglets' growth performance, serum biochemical indices, or most organ indices, except for the pancreas. However, the impact on the intestine was complex. Firstly, although the pancreatic index decreased, it did not affect the secretion of digestive enzymes in the intestine. Secondly, phages increased the pH of jejunum chyme and relative weight of the ileum, and enhanced intestinal barrier function without affecting the morphology of the intestine. Thirdly, phages did not proliferate in the intestine, but altered the intestinal microbiota structure and increased concentrations of microbial metabolites isobutyric acid and isovaleric acid in the colonic chyme. In addition, phages impacted the immune status, significantly increasing serum IgA, IgG, and IgM, as well as serum and intestinal mucosal IFN-γ, IL-1β, IL-17, and TGF-β, and decreasing IL-4 and IL-10. They also activated toll-like receptors TLR-4 and TLR-9. Apart from an increase in basophil numbers, the counts of other immune cells in the blood did not change. This study indicates that the impact of phages on body health is complex, especially regarding immune status, warranting further attention. Short-term phage gavage did not have significant negative effects on health but could enhance intestinal barrier function.
The p21-GTPase-activated protein kinases (PAKs) participate in signal transduction downstream of Rho GTPases, which are regulated by Rho GTPase-activating proteins (Rho-GAP). Herein, we characterized ...two orthologous Rho-GAPs (AoRga1 and AoRga2) and two PAKs (AoPak1 and AoPak2) through bioinformatics analysis and reverse genetics in
Arthrobotrys oligospora
, a typical nematode-trapping (NT) fungus. The transcription analyses performed at different development stages suggested that
Aopaks
and
Aorga1
play a crucial role during sporulation and trap formation, respectively. In addition, we successfully deleted
Aopak1
and
Aorga1
via the homologous recombination method. The disruption of
Aopak1
and
Aorga1
caused a remarkable reduction in spore yield and the number of nuclei per cell, but did not affect mycelial growth. In ∆
Aopak1
mutants, the trap number was decreased at 48 h after the introduction of nematodes, but nematode predatory efficiency was not affected because the extracellular proteolytic activity was increased. On the contrary, the number of traps in ∆
Aorga1
mutants was significantly increased at 36 h and 48 h. In addition,
Aopak1
and
Aorga1
had different effects on the sensitivity to cell-wall-disturbing reagent and oxidant. A yeast two-hybrid assay revealed that AoPak1 and AoRga1 both interacted with AoRac, and AoPak1 also interacted with AoCdc42. Furthermore, the
Aopaks
were up-regulated in ∆
Aorga1
mutants, and
Aorga1
was down-regulated in ∆
Aopak1
mutants. These results reveal that AoRga1 indirectly regulated AoPAKs by regulating small GTPases.
Previous studies have shown that protein kinase MoKin1 played an important role in the growth, conidiation, germination and pathogenicity in rice blast fungus, Magnaporthe oryzae. ΔMokin1 mutant ...showed significant phenotypic defects and significantly reduced pathogenicity. However, the internal mechanism of how MoKin1 affected the development of physiology and biochemistry remained unclear in M. oryzae.
This study adopted a multi-omics approach to comprehensively analyze MoKin1 function, and the results showed that MoKin1 affected the cellular response to endoplasmic reticulum stress (ER stress). Proteomic analysis revealed that the downregulated proteins in ΔMokin1 mutant were enriched mainly in the response to ER stress triggered by the unfolded protein. Loss of MoKin1 prevented the ER stress signal from reaching the nucleus. Therefore, the phosphorylation of various proteins regulating the transcription of ER stress-related genes and mRNA translation was significantly downregulated. The insensitivity to ER stress led to metabolic disorders, resulting in a significant shortage of carbohydrates and a low energy supply, which also resulted in severe phenotypic defects in ΔMokin1 mutant. Analysis of MoKin1-interacting proteins indicated that MoKin1 really took participate in the response to ER stress.
Our results showed the important role of protein kinase MoKin1 in regulating cellular response to ER stress, providing a new research direction to reveal the mechanism of MoKin1 affecting pathogenic formation, and to provide theoretical support for the new biological target sites searching and bio-pesticides developing.
Hepatitis B virus (HBV) plays a critical role in the tumorigenic behavior of human hepatocellular carcinoma (HCC). MicroRNAs (miRNAs) have been reported to participate in HCC development via the ...regulation of their target genes. However, HBV-modulated miRNAs involved in tumorigenesis remain to be identified. Here, we found that a novel highly expressed miRNA, TLRC-m0008_3p (miR-3928v), may be an important factor that promotes the malignancy of HBV-related HCC.
Solexa sequencing was applied to profile miRNAs, and RT-qPCR was used to identify and quantitate miRNAs. We studied miR-3928v function in HCC cell lines by MTT, colony formation, migration/invasion, and vascular mimicry (VM) assays in vitro and by a xenograft tumor model in vivo. Finally, we predicted and verified the target gene of miR-3928v by a reporter assay, studied the function of this target gene, and cloned the promoter of miR-3928v and the transcription factor for use in dual-luciferase reporter assays and EMSAs.
A variant of miR-3928 (miR-3928v) was identified and found to be highly expressed in HBV (+) HCC tissues. Voltage-dependent anion channel 3 (VDAC3) was validated as a target of miR-3928v and found to mediate the effects of miR-3928v in promoting HCC growth and migration/invasion. Furthermore, HBx protein increased early growth response 1 (EGR1) expression and facilitated its translocation into the nucleus to enhance miR-3928v promoter activity in an NF-κB signaling-dependent manner.
miR-3928v is induced by HBx through the NF-κB/EGR1 signaling pathway and down-regulates the tumor suppressor gene VDAC3 to accelerate the progression of HCC.
Both the renovation of rainwater pipes and the addition of sponge city facilities in the low-terrain residences of urban fringes were rarely systematically simulated using the Storm Water Management ...Model (SWMM). With the waterlogging prevention project in an old residential quarter at a fringe of Hefei city being an example, this study used the SWMM to simulate the effect of the renovation of rainwater pipes and sponge city facilities under different return periods. The results showed the key nodes on the main pipes met the drainage requirements based on water depth analysis after renovation below the 20-year return period, and the reduction rate of the maximum water depth at the key node J5 was the greatest, with 87.7%. The four flow parameters (the average flow rate, the peak flow rate, the total discharge, and the percentage of water flow frequency) for the two outlets (PFK1 and PFK2) all improved after renovation under five return periods (2, 5, 10, 20, and 50 years a). The addition of sponge city facilities effectively reduced the amount of rainwater runoff from 28.68% to 14.78% during 2 a to 50 a, and the maximum reduction rate of water depth, being 61.15%, appeared in J5 under 20 a. The curve integral area of the depth over the elapsed time was innovatively used to indirectly express the accumulated rainwater volume through the rainwater well. This study verified that the SWMM model can be well applied to old low-terrain residential quarters in urban fringes and broadened the application scenario of the model.
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