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Aiming to address the problem of regional dynamic target search under weak communication conditions, this paper proposes a UUV cluster search method based on cumulative probability optimization. First, by estimating the probability distribution of the initial target location, an initial probability map is established. Then, based on the Bayesian model and Markov decision model, the target probability distribution is periodically updated, and based on the cumulative detection probability optimal principle of the UUV cluster, the UUV cluster is guided to search the region with high detection probability preferentially. Finally, we implement the simulation experiment and compare with the random search method. The results verify that the proposed method has higher search efficiency in the cases of without prior information and with prior information. [ABSTRACT FROM AUTHOR]

Biochar, an eco-friendly, porous carbon-rich material, is widely studied for immobilizing heavy metals in contaminated environments. This study prepared tobacco stalks, a typical agricultural waste, into biochar (TSB) modified by hydroxyapatite (HAP) at co-pyrolysis temperatures of 350 °C and 550 °C to explore its Cd(II) adsorption behavior and relevant mechanisms. XRD, SEM–EDS, FTIR, and BET analyses revealed that HAP successfully incorporated onto TSB, enriching the surface oxygen-containing functional groups (P–O and carboxyl), and contributing to the enhancement of the specific surface area from 2.52 (TSB350) and 3.63 m2/g (TSB550) to 14.07 (HAP–TSB350) and 18.36 m2/g (HAP–TSB550). The kinetics of Cd(II) adsorption onto TSB and HAP–TSB is well described by the pseudo-second-order model. Isotherm results revealed that the maximum adsorption capacities of Cd(II) on HAP–TSB350 and HAP–TSB550 were approximately 13.17 and 14.50 mg/g, 2.67 and 9.24 times those of TSB350 and TSB550, respectively. The Cd(II) adsorption amounts on TSBs and HAP–TSBs increased significantly with increasing pH, especially in HAP–TSB550. Ionic strength effects and XPS analysis showed that Cd(II) adsorption onto HAP–TSBs occurred mainly via electrostatic interaction, cation exchange with Ca2+, complexation with P–O and –COOH, and surface precipitation. These findings will provide a modification strategy for the reutilization of tobacco agricultural waste in the remediation of heavy metal contaminated areas. [ABSTRACT FROM AUTHOR]

In the study, polydopamine and oleylamine cooperated to modify the surface of anhydrous calcium sulfate prepared from phosphogypsum, and HDPE matrix composites with different filler content were prepared by filling HDPE before and after modification. The results show that when the filler content is 5 wt%, the elongation at break of mCSA/HDPE composite is 31.7% and 89% higher than that of HDPE and CSA/HDPE. Respectively, when the filler content is as high as 25 wt%, the flexural strength is still 16.8% higher than that of HDPE. After modification, the compatibility and dispersibility of anhydrous calcium sulfate in HDPE were improved, and the crystal structure of anhydrous calcium sulfate was not significantly changed, thus the mechanical properties and thermal stability of mCSA/HDPE composites were improved. Overall, after modification, not only the mechanical properties of the composites are improved, but also the content of inorganic powder as filler added to HDPE is increased, which can be regarded as a method for effective utilization of phosphogypsum. Highlights: Calcium sulfate was modified by polydopamine and oleylamineThe mechanical and thermal properties of the modified calcium sulfate/HDPE composites are good.The resource utilization of phosphogypsum was carried out [ABSTRACT FROM AUTHOR]

Sustainable development goals challenge the carbon lock-in dilemma of the industrial economy, and identifying the motivation and mechanism behind carbon unlocking has become an urgent priority. With its inclusive and precise advantages, digital finance (DF) provides a new impetus for the economy's low-carbon transformation, while reasonable environmental regulation (ER) acts as an important guiding constraint. We focus on the carbon unlocking performance of DF under ER constraints. After constructing and calculating the industrial carbon unlocking efficiency (ICUE), we observe the trends of ICUE fluctuating positively, clustering towards the eastern region, and polarization. Subsequently, based on theoretical analyses, we explore the marginal and configuration effects of DF and ER in improving ICUE using panel data from 30 Chinese provinces between 2011 and 2021 and adopt a mixed research method with regression analysis (Tobit hierarchical regression and quantile regression for panel data (QRPD)) and dynamic fuzzy-set qualitative comparative analysis (fsQCA). The regression analysis results show that DF can notably enhance China's provincial ICUE, with ER generally serving as a positive moderator; however, the unlocking potential of informal environmental regulations needs further exploration. As ICUE improves in a specific location or time, the positive contribution of DF to ICUE also increases, whereas the moderating effect of ER exhibits an optimal range and follows an inverted U-shape. The dynamic fsQCA results support the findings of the regression analysis and further emphasize that effective cooperation between DF and ER is crucial for high ICUE, while inadequate DF support and the absence of formal environmental regulations remain bottlenecks in industrial carbon lock-in. Moreover, configuration paths demonstrate clear path dependency in both time and space, indicating a prolonged unlocking endeavor. [ABSTRACT FROM AUTHOR]

Porcine circovirus type 2 (PCV2) infection can cause immunosuppressive diseases in pigs. Vascular endothelial cells (VECs), as the target cells for PCV2, play an important role in the immune response and inflammatory regulation. Endothelial IL-8, which is produced by porcine hip artery endothelial cells (PIECs) infected with PCV2, can inhibit the maturation of monocyte-derived dendritic cells (MoDCs). Here, we established a co-culture system of MoDCs and different groups of PIECs to further investigate the PCV2-induced endothelial IL-8 signaling pathway that drives the inhibition of MoDC maturation. The differentially expressed genes related to MoDC maturation were mainly enriched in the NF-κB and JAK2-STAT3 signaling pathways. Both the NF-κB related factor RELA and JAK2-STAT3 signaling pathway related factors (IL2RA, JAK, STAT2, STAT5, IL23A, IL7, etc.) decreased significantly in the IL-8 up-regulated group, and increased significantly in the down-regulated group. The expression of NF-κB p65 in the IL-8 up-regulated group was reduced significantly, and the expression of IκBα was increased significantly. Nuclear translocation of NF-κB p65 was inhibited, while the nuclear translocation of p-STAT3 was increased in MoDCs in the PCV2-induced endothelial IL-8 group. The results of treatment with NF-κB signaling pathway inhibitors showed that the maturation of MoDCs was inhibited and the expression of IL-12 and GM-CSF at mRNA level were lower. Inhibition of the JAK2-STAT3 signaling pathway had no significant effect on maturation, and the expression of IL-12 and GM-CSF at mRNA level produced no significant change. In summary, the NF-κB signaling pathway is the main signaling pathway of MoDC maturation, and is inhibited by the PCV2-induced up-regulation of endothelial-derived IL-8. [ABSTRACT FROM AUTHOR]

This study introduces a novel methodology for the dynamic extraction of information on cotton growth in terms of height utilizing the DJI Zenmuse L1 LiDAR sensor mounted onto a DJI Matrice 300 RTK Unmanned Aerial Vehicle (UAV), aimed at enhancing the precision and efficiency of growth monitoring within the realm of precision agriculture. Employing the Progressive TIN Densification (PTD) and Cloth Simulation Filter (CSF) algorithms, combined with Kriging interpolation, we generated Canopy Height Models (CHMs) to extract the cotton heights at two key agricultural sites: Zengcheng and Tumxuk. Our analysis reveals that the PTD algorithm significantly outperforms the CSF method in terms of accuracy, with its R2 values indicating a superior model fit for height extraction across different growth stages (Zengcheng: 0.71, Tumxuk: 0.82). Through meticulous data processing and cluster analysis, this study not only identifies the most effective algorithm for accurate height extraction but also provides detailed insights into the dynamic growth patterns of cotton varieties across different geographical regions. The findings highlight the critical role of UAV remote sensing in enabling large-scale, high-precision monitoring of crop growth, which is essential for the optimization of agricultural practices such as precision fertilization and irrigation. Furthermore, the study demonstrates the potential of UAV technology to select superior cotton varieties by analyzing their growth dynamics, offering valuable guidance for cotton breeding and cultivation. [ABSTRACT FROM AUTHOR]

The principal aim of this investigation is to identify pivotal biomarkers linked to the prognosis of osteosarcoma (OS) through the application of artificial intelligence (AI), with an ultimate goal to enhance prognostic prediction. Expression profiles from 88 OS cases and 396 normal samples were procured from accessible public databases. Prognostic models were established using univariate COX regression analysis and an array of AI methodologies including the XGB method, RF method, GLM method, SVM method, and LASSO regression analysis. Multivariate COX regression analysis was also employed. Immune cell variations in OS were examined using the CIBERSORT software, and a differential analysis was conducted. Routine blood data from 20,679 normal samples and 437 OS cases were analyzed to validate lymphocyte disparity. Histological assessments of the study's postulates were performed through immunohistochemistry and hematoxylin and eosin (HE) staining. AI facilitated the identification of differentially expressed genes, which were utilized to construct a prognostic model. This model discerned that the survival rate in the high-risk category was significantly inferior compared to the low-risk cohort (p < 0.05). SERPINE2 was found to be positively associated with memory B cells, while CPT1B correlated positively with CD8 T cells. Immunohistochemical assessments indicated that SERPINE2 was more prominently expressed in OS tissues relative to adjacent non-tumorous tissues. Conversely, CPT1B expression was elevated in the adjacent non-tumorous tissues compared to OS tissues. Lymphocyte counts from routine blood evaluations exhibited marked differences between normal and OS groups (p < 0.001). The study highlights SERPINE2 and CPT1B as crucial biomarkers for OS prognosis and suggests that dysregulation of lymphocytes plays a significant role in OS pathogenesis. Both SERPINE2 and CPT1B have potential utility as prognostic biomarkers for OS. [ABSTRACT FROM AUTHOR]

Improving energy efficiency is vital for addressing climate change and reducing carbon emissions in emerging economies. Financial development (FD) is crucial for economic growth, and its environmental impact and the adjustment of the industrial structure (IND) is a crucial lever in China's economic transition period. This study explored the relationship between FD, IND, and China's green total factor productivity (GTFEE) from 2000 to 2020 using the super-efficiency SBM-undesirable model, which estimates China's GTFEE. The ARDL results suggest that FD and IND enhance GTFEE in the long term, with FD promoting GTFEE by facilitating industrial structure adjustments. The Dumitrescu–Hurlin panel causality tests supported this finding. The QRPD panel quantile regression and heterogeneity analysis revealed significant heterogeneity in the effects. With increasing GTFEE, FD exerts a restraining effect, gradually weakening and transitioning into a promoting effect, while the IND consistently plays a promoting role. [ABSTRACT FROM AUTHOR]

The photocatalytic performance of nano-TiO2 photocatalysts in air pollutant degradation greatly depends on the adsorption of water, substrates, and intermediates. Especially under excessive humidity, substrate concentration, and intermediate concentration, the competitive adsorption of water, substrates, and intermediates can seriously inhibit the photocatalytic performance. In the past few years, extensive studies have been performed to investigate the influence of humidity, substrate concentration, and intermediates on the photocatalytic performance of TiO2, and significant advances have been made in the area. However, to the best of our knowledge, there is no review focusing on the effects of water, substrate, and intermediate adsorption to date. A comprehensive understanding of their mechanisms is key to overcoming the limited application of nano-TiO2 photocatalysts in the photocatalytic decomposition of air pollutants. In this review, the progress in experimental and theoretical fields, including a recent combination of photocatalytic experiments and adsorption and photocatalytic simulations by density functional theory (DFT), to explore the impact of adsorption of various reaction components on nano-TiO2 photocatalysts is comprehensively summarized. Additionally, the mechanism and broad perspective of the impact of their adsorption on the photocatalytic activity of TiO2 in air treatment are also critically discussed. Finally, several solutions are proposed to resolve the current problems related to environmental factors. In general, this review contributes a comprehensive perspective of water, substrate, and intermediate adsorption toward boosting the photocatalytic application of TiO2 nanomaterials. [ABSTRACT FROM AUTHOR]

Arsenic (As) is a potentially toxic element (PTE) that causes adverse effects on human health through contamination of soil and groundwater worldwide. Biochar has captured great interest as an amendment for improving soil fertility, immobilizing PTEs, and being a carbon stabilizer. However, unlike other cationic PTEs, pristine biochar has shown unsatisfactory results for soil As immobilization, owing to increased soil pH and accompanying electrostatic repulsion between the biochar surface and As anions. Complex soil conditions due to dynamically variable dissolved organic matter concentration, redox potential, and pH significantly influence the As immobilization capacity of biochar. To overcome the above drawbacks and improve As immobilization performance, recent studies have proposed biochar modification in various ways. This review summarizes the latest studies on modified biochar for As immobilization in soil, focusing on modification methods and performance evaluation. Limitations and perspectives of key biochar modification methods are critically discussed, advancing our understanding of the underpinned science for designing biochar to achieve increased stability for long-term application. The collated information will help environmental policymakers and stakeholders in predicting the benefits and future directions of modified biochar research for the immobilization of As and other PTEs. [ABSTRACT FROM AUTHOR]

The LAI (leaf area index) is an important parameter describing the canopy structure of citrus trees and characterizing plant photosynthesis, as well as providing an important basis for selecting parameters for orchard plant protection operations. By fusing LiDAR data with multispectral data, it can make up for the lack of rich spatial features of multispectral data, thus obtaining higher LAI inversion accuracy. This study proposed a multiscale LAI inversion method for citrus orchard based on the fusion of point cloud data and multispectral data. By comparing various machine learning algorithms, the mapping relationship between the characteristic parameters in multispectral data and point cloud data and citrus LAI was established, and we established the inversion model based on this, by removing redundant features through redundancy analysis. The experiment results showed that the BP neural network performs the best at both the community scale and the individual scale. After removing redundant features, the R2, RMSE, and MAE of the BP neural network at the community scale and individual scale were 0.896, 0.112, 0.086, and 0.794, 0.408, 0.328, respectively. By adding the three-dimensional gap fraction feature to the two-dimensional vegetation index features, the R2 at community scale and individual scale increased by 4.43% and 7.29%, respectively. The conclusion of this study suggests that the fusion of point cloud and multispectral data exhibits superior accuracy in multiscale citrus LAI inversion compared to relying solely on a single data source. This study proposes a fast and efficient multiscale LAI inversion method for citrus, which provides a new idea for the orchard precise management and the precision of plant protection operation. [ABSTRACT FROM AUTHOR]

Plant height is a crucial phenotypic trait that plays a vital role in predicting cotton growth and yield, as well as in estimating biomass in cotton plants. The accurate estimation of canopy height from single-flight LiDAR data remains a formidable challenge in current high-density cotton cultivation patterns, where dense foliage obstructs the collection of bare soil terrain, particularly after flowering. The existing LiDAR-based methods for cotton height estimation suffer from significant errors. In this study, a new method is proposed to compensate for the canopy height estimation by using the canopy laser interception rate. The ground points are extracted by the ground filtering algorithm, and the interception rate of the laser per unit volume of the canopy is calculated to represent the canopy density and compensate for the cotton height estimation. The appropriate segmented height compensation function is determined by grouping and step-by-step analysis of the canopy laser interception rate. Verified by 440 groups of height data measured manually in the field, the results show that the canopy laser interception compensation mechanism is of great help in improving the estimation accuracy of LiDAR. R2 and RMSE reach 0.90 and 6.18 cm, respectively. Compared with the estimation method before compensation, R2 is increased by 13.92%, and RMSE is reduced by 49.31%. And when the canopy interception rate is greater than 99%, the compensation effect is more obvious, and the RMSE is reduced by 62.49%. This research result can significantly improve the height estimation accuracy of UAV-borne for high planting density cotton areas, which is helpful to improve the efficiency of cotton quality breeding and match genomics data. [ABSTRACT FROM AUTHOR]

Arsenic (As) is a potentially toxic element (PTE) that causes adverse effects on human health through contamination of soil and groundwater worldwide. Biochar has captured great interest as an amendment for improving soil fertility, immobilizing PTEs, and being a carbon stabilizer. However, unlike other cationic PTEs, pristine biochar has shown unsatisfactory results for soil As immobilization, owing to increased soil pH and accompanying electrostatic repulsion between the biochar surface and As anions. Complex soil conditions due to dynamically variable dissolved organic matter concentration, redox potential, and pH significantly influence the As immobilization capacity of biochar. To overcome the above drawbacks and improve As immobilization performance, recent studies have proposed biochar modification in various ways. This review summarizes the latest studies on modified biochar for As immobilization in soil, focusing on modification methods and performance evaluation. Limitations and perspectives of key biochar modification methods are critically discussed, advancing our understanding of the underpinned science for designing biochar to achieve increased stability for long-term application. The collated information will help environmental policymakers and stakeholders in predicting the benefits and future directions of modified biochar research for the immobilization of As and other PTEs. [ABSTRACT FROM AUTHOR]

This study investigated changes in the microbial compositions of crayfish tails during storage at 4 °C (for 0–12 days) as measured using high-throughput sequencing (HTS). The specific spoilage organisms (SSOs) in the crayfish tails were isolated using culture-dependent cultivation methods, and they were identified by 16S rRNA and characterized for their enzymatic spoilage potentials (e.g., protease, lipase, phospholipase, and amylase). The spoilage abilities of the selected strains in the crayfish tails were assessed by inoculating them into real food. Moreover, the microbial growth and the volatile basic nitrogen (TVB-N) changes were monitored during the storage period. The results from the HTS showed that the dominant genus of shrimp tails evolved from Streptococcus (D0) to Pseudomonas (D4) and, finally, to Paenisporosarcina (D12) during storage. Seven bacterial species (Acinetobacter lwoffii, Aeromonas veronii, Kurthia gibsonii, Pseudomonas sp., Exiguobacterium aurantiacum, Lelliottia amnigena, and Citrobacter freundii) were screened from the spoiled shrimp tails by the culture-dependent method, among which Aeromonas veronii had the strongest spoilage ability. [ABSTRACT FROM AUTHOR]

Porcine circovirus 2 (PCV2) is one of the most important endemic swine pathogens, inducing immunosuppression in pigs and predisposing them to secondary bacterial or viral infections. Our previous studies show that PCV2 infection stimulated pig intestinal epithelial cells (IPEC-J2) to produce the secretory transforming growth factor-β (TGF-β), which, in turn, caused CD4+ T cells to differentiate into regulatory T cells (Tregs). This may be one of the key mechanisms by which PCV2 induces immunosuppression. Here, we attempt to identify the viral proteins that affect the TGF-β secretion, as well as the key amino acids that are primarily responsible for this occurrence. The three amino acids C35, S36 and V39 of the ORF4 protein are the key sites at which PCV2 induces a large amount of TGF-β production in IPEC-J2 and influences the frequency of Tregs. This may elucidate the regulatory effect of PCV2 on the Tregs differentiation from the perspective of virus structure and intestinal epithelial cell interaction, laying a theoretical foundation for improving the molecular mechanism of PCV2-induced intestinal mucosal immunosuppression in piglets. [ABSTRACT FROM AUTHOR]

From the perspective of energy consumption optimization, this paper studies the impact of green finance on carbon emissions in China. Firstly, based on the theoretical perspective, this paper explores the mechanism and path by which green finance influences carbon emissions, and analyzes the role of energy consumption in this process. Then, this paper utilizes the STIRPAT model, chain multiple mediation effect model and panel threshold model to empirically analyze the influence of green finance on carbon emissions, using provincial data from China from 2005 to 2019. The results are as follows: (1) Green finance significantly reduces carbon emissions. After accounting for potential endogeneity, this conclusion is still valid. The heterogeneity test reveals that the inhibitory effect is more remarkable in northern regions, high-carbon emission regions and energy-rich regions. (2) The results of the bootstrap test reveal that at the national level, green finance decreases carbon emissions through three paths: green technological innovation, ecological evolution of the industrial structure and green technological innovation facilitating ecological evolution of the industrial structure. Furthermore, in energy-rich regions, green finance significantly inhibits carbon emissions through all three paths, while in energy-poor regions, green finance reduces carbon emissions only through green technological innovation. (3) There is a nonlinear relationship between green finance and carbon emissions. Specifically, regardless of energy intensity or energy consumption structure, only when it is below the threshold can green finance significantly inhibit carbon emissions. Thus, realizing energy consumption optimization is an effective way to ensure the carbon emission reduction effect of green finance. [ABSTRACT FROM AUTHOR]

Introduction: Immunity is involved in a variety of bone metabolic processes, especially osteoporosis. The aim of this study is to explore new bone immunerelated markers by bioinformatics method and evaluate their ability to predict osteoporosis. Methods: The mRNA expression profiles were obtained from GSE7158 in Gene expression Omnibus (GEO), and immune-related genes were obtained from ImmPort database (https:/ /www.immport.org/shared/). immune genes related to bone mineral density(BMD) were screened out for differential analysis. protein-protein interaction (PPIs) networks were used to analyze the interrelationships between different immune-related genes (DIRGs). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses of DIRGs function were performed. A least absolute shrinkage and selection operation (LASSO) regression model and multiple Support Vector Machine-Recursive Feature Elimination (mSVM-RFE) model were constructed to identify the candidate genes for osteoporosis prediction The receiver operator characteristic (ROC) curves were used to validate the performances of predictive models and candidate genes in GEO database (GSE7158,GSE13850). Through the RT - qPCR verify the key genes differentially expressed in peripheral blood mononuclear cells Finally, we constructed a nomogram model for predicting osteoporosis based on five immune-related genes. CIBERSORT algorithm was used to calculate the relative proportion of 22 immune cells. Results: A total of 1158 DEGs and 66 DIRGs were identified between high-BMD and low-BMD women. These DIRGs were mainly enriched in cytokine-mediated signaling pathway, positive regulation of response to external stimulus and the cellular components of genes are mostly localized to external side of plasma membrane. And the KEGG enrichment analysis were mainly involved in Cytokine -cytokine receptor interaction, PI3K-Akt signaling pathway, Neuroactive ligand -receptor interaction,Natural killer cell mediated cytotoxicity. Then five key genes (CCR5, IAPP, IFNA4, IGHV3-73 and PTGER1) were identified and used as features to construct a predictive prognostic model for osteoporosis using the GSE7158 dataset. Conclusion: Immunity plays an important role in the development of osteoporosis.CCR5, IAPP, IFNA4, IGHV3-73 and PTGER1were play an important role in the occurrences and diagnosis of OP. [ABSTRACT FROM AUTHOR]

Serum samples were collected from 54 hepatitis B e antigen (HBeAg)‐positive Chinese patients infected with hepatitis B virus (HBV) subgenotype B2 or C2. They were compared for transmission efficiency using same volume of samples or infectivity using same genome copy number. Adding polyethylene glycol (PEG) during inoculation did not increase infectivity of fresh samples but markedly increased infectivity following prolonged sample storage. Differentiated HepaRG cells infected without PEG produced more hepatitis B surface antigen (HBsAg) and higher HBsAg/HBeAg ratio than sodium taurocholate cotransporting polypeptide (NTCP)‐reconstituted HepG2 cells infected with PEG. They better supported replication of core promoter mutant in contrast to wild‐type (WT) virus by HepG2/NTCP cells. Overall, subgenotype C2 samples had higher viral load than B2 samples, and in general produced more HBeAg, HBsAg, and replicative DNA following same‐volume inoculation. Precore mutant was more prevalent in subgenotype B2 and had reduced transmission efficiency. When same genome copy number of viral particles was inoculated, viral signals were not necessarily higher for three WT C2 isolates than four WT B2 isolates. Using viral particles generated from cloned HBV genome, three WT C2 isolates showed slightly reduced infectivity than three B2 isolates. In conclusion, subgenotype C2 serum samples had higher transmission efficiency than B2 isolates in association with higher viral load and lower prevalence of precore mutant, but not necessarily higher infectivity. PEG‐independent infection by HBV viremic serum samples is probably attributed to a labile host factor. [ABSTRACT FROM AUTHOR]

Heterogeneous catalysts have been widely used for peroxymonosulfate (PMS) activation to remove persistent contaminants in water. This study successfully prepared cobalt-doped TiO2 using a simple two-step approach for activating PMS to remove tetracycline (TC). The batch experiments showed complete TC degradation within 25 min caused by Co-TiO2 (0.1 g/L) activation of PMS (1 mM) under visible light. The system also demonstrated excellent catalytic efficiency in various water environments, such as artificial seawater, tap water, and wastewater. According to the radical capture tests and electron spin resonance analysis, the contribution of active species involved in the degradation of TC with the Vis/Co-TiO2/PMS system were in the following order: 1O2> SO4•−> O2•−> •OH. The possible TC degradation pathway was proposed using intermediate identification and Fukui function calculation. This study provides a promising method toward organic pollutants degradation and provides a novel perspective on the rational design of competent and stable catalysts. [ABSTRACT FROM AUTHOR]

Background: The combination of pelvic fractures with lower urinary tract injuries (LUTIs) is a severe traumatic injury. This study was performed to determine the relationship between LUTIs and pelvic fracture types. Methods: Patients who sustained pelvic fractures combined with LUTIs between 1 January 2018 and 1 January 2022 in our institution were retrospectively analyzed. The patients' demographics, mechanism of injury, presence of open pelvic fractures, types of pelvic fractures, patterns of LUTIs, and early complications were analyzed. The association between pelvic fracture types and the identified LUTIs was statistically analyzed. Results: This study involved 54 patients diagnosed with pelvic fractures combined with LUTIs. The overall incidence of pelvic fractures combined with LUTIs was 7.7% (n = 54/698). All patients had unstable pelvic fractures. The male:female ratio was approximately 2.4:1.0. The incidence of LUTIs was higher in men than women with pelvic fractures (9.1% vs. 4.4%). Bladder injuries occurred at roughly equal rates in men and women (4.5% vs. 4.4%, p = 0.966), but urethral injuries were more frequent in men (6.1% vs. 0.5%, p = 0.001). The most common pelvic injury pattern was a type C fracture according to the Tile classification and a vertical-shear-type fracture according to the Young–Burgess classification. The Young–Burgess fracture classification was related to the severity of bladder injury in men (p = 0.037). There was no significant difference in bladder injury according to the two classifications among women (p = 0.524 vs. p = 1.000) or among the entire cohort (p = 0.454 vs. p = 0.342). Conclusions: Men and women are equally likely to sustain a bladder injury, but a urethral injury with pelvic fracture is more frequent in men. LUTIs tend to be accompanied by unstable pelvic fractures. It is imperative to be vigilant for potential bladder injury when men sustain vertical-shear-type pelvic fractures. [ABSTRACT FROM AUTHOR]

At present, the impact of cuproptosis-related genes in the study of osteosarcoma is largely unknown. Genome-wide data of osteosarcoma and controls were downloaded from 3 different databases, and specific diagnostic models associated with cuproptosis in osteosarcoma were constructed by support vector machines with artificial intelligence, random forest trees and LASSO regression. Differential analysis of immune cell infiltration was examined using routine blood data from 25,665 cases. Differential expression was examined using immunohistochemistry and PCR. PDHA1 and CDKN2A were obtained as specific cuproptosis-related biomarkers for osteosarcoma after artificial intelligence analysis. PDHA1, CDKN2A and neutrophils were differentially expressed in OS and control groups. PDHA1 and CDKN2A are significantly dysregulated in OS and are able to serve as biomarkers of OS. [ABSTRACT FROM AUTHOR]

Ordered intermetallic Pt–M alloys are foreseen to be promising as next-generation low-Pt catalysts for the oxygen reduction reaction (ORR) in proton exchange membrane fuel cells (PEMFCs) due to their high catalytic activity and stability. Nevertheless, the disorder-to-order intermetallic phase transition often needs to proceed at elevated annealing temperature for a long time, which leads to severe particle agglomeration. Herein, an efficient nitrogen (N)-doping strategy is developed to speed up such phase transition in an intermetallic Pt3Co alloy catalyst, which shortens the annealing duration by 3–5 fold at a temperature of 600–800 °C. Such a strategy can not only minimize the particle agglomeration but also effectively optimize the electronic structure of surface Pt atoms with the incorporated N. The prepared N-doped ordered intermetallic Pt3Co catalyst exhibits high ORR activity among the best of the state-of-the-art, with mass activities of 1.21 and 1.20 A mgPt−1 at 0.90 V in rotating disk electrode (RDE) and proton exchange membrane fuel cell (PEMFC) tests, respectively. Moreover, with the total Pt loading of 0.15 mgPt cm−2, the H2–air PEMFC delivers a power density of 1.27 W cm−2 at 150 kPaabs and 0.6 V, corresponding to a high Pt utilization of 0.118 gPt kW−1 that has surpassed the DOE 2025 target (0.125 gPt kW−1). This study paves a new way to develop high-performance low-Pt ORR catalysts for PEMFCs. [ABSTRACT FROM AUTHOR]

As an important factor determining the competitiveness of raw cotton, cotton fiber quality has received more and more attention. The results of traditional detection methods are accurate, but the sampling cost is high and has a hysteresis, which makes it difficult to measure cotton fiber quality parameters in real time and at a large scale. The purpose of this study is to use time-series UAV (Unmanned Aerial Vehicle) multispectral and RGB remote sensing images combined with machine learning to model four main quality indicators of cotton fibers. A deep learning algorithm is used to identify and extract cotton boll pixels in remote sensing images and improve the accuracy of quantitative extraction of spectral features. In order to simplify the input parameters of the model, the stepwise sensitivity analysis method is used to eliminate redundant variables and obtain the optimal input feature set. The results of this study show that the R2 of the prediction model established by a neural network is improved by 29.67% compared with the model established by linear regression. When the spectral index is calculated after removing the soil pixels used for prediction, R2 is improved by 4.01% compared with the ordinary method. The prediction model can well predict the average length, uniformity index, and micronaire value of the upper half. R2 is 0.8250, 0.8014, and 0.7722, respectively. This study provides a method to predict the cotton fiber quality in a large area without manual sampling, which provides a new idea for variety breeding and commercial decision-making in the cotton industry. [ABSTRACT FROM AUTHOR]

Background: Reports on traumatic sciatic nerve injury associated with acetabular fracture are rare. In this study, we investigated the demographics of these injuries, their clinical characteristics, management, and factors potentially influencing neurological recovery. Methods: We retrospectively reviewed all patients diagnosed to have acetabular fracture at our trauma center between January 2014 and June 2021. Data on patient demographics, characteristics of sciatic nerve injury, neurological recovery, factors potentially influencing neurological recovery were analyzed. Results: Eighteen patients (bilateral in one case) met the diagnostic criteria. All these injuries involved the posterior wall or posterior column, and most patients had posterior dislocation of the hip joint. Four of the 19 sides with traumatic sciatic nerve injury involved the common peroneal nerve division and 15 involved both the common peroneal and tibial nerve divisions. Seventeen patients (18 sides) underwent intraoperative nerve exploration, which revealed abnormalities in 7 sides and no obvious abnormality in 11 sides. At the last follow-up, 10 sides (52.6%) had complete recovery and 9 (47.4%) had partial recovery; the difference was statistically significant between those with or without abnormal nerve damage during exploration (P = 0.046). Linear regression analysis showed that a nerve abnormality detected intraoperatively was a predictor of nerve recovery (P = 0.009). The mean recovery time was significantly longer for partial recovery than for complete recovery (13.78 months vs. 6.70 months; P = 0.001). Conclusions: All the injuries in this series involved the posterior wall or posterior column, and most patients had posterior dislocation of the hip joint. Damage to the common peroneal nerve division was more severe than that to the tibial nerve division preoperatively. However, the degree of recovery of the common peroneal division was not worse than that of the tibial division. There was a relationship between the degree of neurological recovery and whether there was an abnormality at the time of intraoperative nerve exploration. Patients with partial recovery took longer to recover. [ABSTRACT FROM AUTHOR]

In recent years, as a new visible light responsive nonmetal photocatalyst, graphite-phase carbon nitride (g-C3 N4) has been widely used for organic pollutants removal in photocatalysis system due to its suitable band gap width characteristic, enough active sites and low cost. However, the drawback of its low visible-light utilization and fast recombination of photogenerated electron-hole pairs that play negative effect on its photocatalytic activity. Combine with the nonmetal properties of g-C3 N4, nonmetal doping is an effective strategy to further improve the photocatalytic performance of g-C3 N4, and has attracted more and more attention on photocatalysis. In this paper, the common preparation methods of non metal doped g-C3 N4 composite materials are introduced. In addition, the research progress of different nonmetal doped g-C3 N4 applied in photocatalytic degradation of organic pollutants is summarized in detail, and its mechanism of photocatalytic degradation of organic pollutants under visible light is also discussed. Finally, the challenges and suggestions for the photocatalytic degradation of organic pollutants in water by nonmetal doped g-C3 N4 are proposed, and this review also helps to provide insights into the removal of organic pollutants by nonmetal doped g-C3 N4 coupled photocatalysis. [ABSTRACT FROM AUTHOR]

The high-temporal-resolution monitoring of key management nodes in cotton management via agricultural remote sensing is vital for field cotton macro-statistics, particularly for predicting cotton production and obtaining comprehensive data. This study examines Shihezi, Xinjiang as a case study, utilizing Sentinel-1 and Sentinel-2 data from 2019 to 2021. Three machine learning models(RF, SVM, and CART) were employed to extract annual crop classification area rasters, monitor weekly cultivation progress, and monitor abandoned cropland during the cultivation period. The results demonstrate that the random forest model has produced satisfactory results in gridded extraction for cotton classification areas, achieving the producer's accuracy of the cotton category reached 98.5%, and the kappa coefficient is 0.947. Cotton cultivated in 2021 began is a week later than in 2020, yet exhibited a faster cultivate speed. The proportion of abandoned cotton fields in the study area rose in 2020 compared to 2019. The methodology presented in this study has a certain reference value for exploring the monitoring of continuous changes in crops over the years and macro-monitoring of important activities in the entire growth cycle. [ABSTRACT FROM AUTHOR]

By developing an industrial structure change model, this paper investigates the role of the information technology in explaining the process of industrial structure optimization and upgrading in China from 2001 to 2019. Then, we put forward and discuss the substitution effect and the pervasiveness effect of information technology, and deduce the theoretical propositions from the model. We use the Malmquist index method to estimate the rate of information technology progress, and then choose the genetic algorithm to calibrate the parameters of the model. The research conclusions innovatively explain how the information technology can promote the industrial structure optimization and upgrading in China based on the substitution effect and the pervasiveness effect of information technology in detail. The results point out that when the contribution of information technology to total factor productivity of the tertiary industry is higher than that of the secondary industry, the pervasiveness effect of information technology can promote the upgrading of the industrial structure. Under the comprehensive effect of the pervasiveness effect and substitution effect of information technology, the industrial structure tends to be more optimized. The further heterogeneity analysis shows that the driving effect of information technology on the optimization and upgrading of industrial structure in regions with "servitization" characteristics is more significant. It highlights policy suggestions designed to adopt innovation-driven and technology development strategy, regional industrial structure transformation and economy development strategy. [ABSTRACT FROM AUTHOR]

Purpose: The conventional lateral approach is widely used to treat radial head fractures with screws. However, the traditional incision may have shortcomings, including excessive exposure and significant scarring. We propose an innovative method – a mini-open lateral approach of less than 2.5 cm for surgical treatment of radial head fractures with screws. Methods: From Jan 2017 to Dec 2020, 34 patients diagnosed with closed radial head fracture were treated with open reduction and internal fixation (ORIF) in this study. The novel group (mini-open group) included 15 patients, and the other 19 patients were in the traditional group. The time of operation and the blood loss during operation were recorded. Postoperative clinical outcomes and radiographic results were recorded and compared between the two groups. The range of motion (ROM) in the elbow, the Visual Analogue Scale (VAS), the Mayo Elbow Performance Score (MEPS), Rating Scale of the American Shoulder and Elbow Surgeons (ASES), and the Shortened Disabilities of the Arm, Shoulder and Hand Questionnaire (Q-DASH) score and complications, such as wound infection, vascular and nerve damage, and fragment redisplacement were observed in the two groups. Results: In the comparison between the two groups, there was no significant difference in age, sex, cause of radial head fracture, or other basic information. The operation time, intraoperative blood loss, and VAS score at 3 days postoperation were significantly reduced in the novel group (p < 0.05). The follow-up results showed that there was no significant difference in MEPS, ASES, or Q-DASH scores between the two groups. Conclusion: The mini-open approach reduced intraoperative blood loss, shortened operation time, relieved patient pain, and achieved a satisfactory postoperative clinical result, which demonstrates that the novel approach is a safe and effective option for treating radial head fractures. [ABSTRACT FROM AUTHOR]

Background: Open Tile C pelvic fractures are particularly severe. However, reports on their management and outcomes are relatively rare. This study analyzed the demographic and clinical characteristics of patients with open Tile C pelvic fractures and describes our management and outcomes of these injuries. Methods: This retrospective review included all patients with open Tile C pelvic fractures treated in our department between January 2014 and June 2021. Data on patient demographics, characteristics of the injuries, surgical management, and outcomes were analyzed. Results: Thirty patients with a mean age of 34.0 years met the diagnostic criteria. The average Injury Severity Score was 40.3. According to the Tile fracture classification, 6 patients sustained type C1.1, 12 sustained type C1.2, 3 sustained type C1.3, 5 sustained C2 and 4 sustained type C3. Most patients had soft tissue injuries in multiple zones. All patients sustained associated injuries. Management consisted of bed rest in 8 cases, external fixation as the final strategy in 14, conversion from external fixation to internal fixation in 3, open reduction with internal fixation in 5, and amputation in 6. The average amount of packed red blood cells transfused was 33.3 units, the average intensive care unit stay was 11.3 days, the mean number of operations required was 6.2, and the mean length of hospital stay was 81.8 days. The main complications were early soft tissue infections and venous thrombosis. One patient died of sepsis and multi-organ failure. Soft tissue injuries in multiple zones increased utilization of hospital resources whereas anorectal injuries did not. Vascular damage accompanying truck crush injuries had a high amputation rate. Conclusion: Open Tile C pelvic fractures require multidisciplinary diagnosis and management and consume considerable hospital resources. More emphasis needs to be placed on this complex injury. [ABSTRACT FROM AUTHOR]

Purpose: Traumatic sciatic nerve injury is one of the most serious consequences of acetabular fracture. However, reports on this type of injury are rare. In this study, we investigated the demographics of acetabular fracture with traumatic sciatic nerve injury, the clinical characteristics of patients with these injuries, and potential risk factors. Patients and Methods: We retrospectively reviewed patients diagnosed to have acetabular fracture at our trauma center between January 2014 and June 2021. Data on patient demographics, characteristics of the acetabular fracture, whether or not sciatic nerve injury occurred, types of sciatic nerve injury, and risk factors were analyzed. Results: A total of 195 patients met the diagnostic criteria for acetabular fractures. The average Injury Severity Score was 25.9 and the average Abbreviated Injury Scale score was 12.4. Road traffic accidents and falls from height were the main causes. Chest injuries and lower extremity fractures were the most common associated injuries. Posterior wall fractures were the most common fracture type. After exclusion of spinal cord and iatrogenic sciatic nerve injuries, 18 patients with acetabular fractures had traumatic sciatic nerve injury. Four of the 19 sides with traumatic sciatic nerve injury involved the common peroneal nerve division and 15 involved both the common peroneal and tibial nerve divisions. Logistic regression analysis identified a higher AIS score, posterior column fracture, and posterior hip dislocation to be predictors of traumatic sciatic nerve injury. Conclusion: Acetabular fractures were mostly high-energy injuries. Posterior wall fractures were the most common acetabular fracture types. Most patients sustained injury to the sciatic nerve as well as injury to the common peroneal and tibial nerve divisions. A higher AIS score, posterior column fracture, and posterior hip dislocation were predictors of acetabular fracture combined with traumatic sciatic nerve injury. [ABSTRACT FROM AUTHOR]

The site-specific management of cotton fields is necessary for evaluating the growth status of cotton and generating a defoliation prescription map. The traditional assessment method of pests and diseases is based on spot surveys and manual participation, which is time-consuming, labor-intensive, and lacks high-quality results. The RGB and multispectral images acquired by drones equipped with sensors provide the possibility to quickly and accurately obtain the overall data for a field. In this study, we obtained RGB and multispectral remote sensing images to calculate the spectral index of the target area. At the same time, ground survey data were obtained by tracking and investigating the defoliation rate of cotton after spraying. With the help of data analysis methods, such as univariate linear regression, multiple linear regression models, neural network models, etc., a cotton defoliation effect monitoring model based on UAV remote sensing images was constructed. The results show that the BP neural network based on the VARI, VDVI, RSI, NGRDI, NDVI index has an R2 value of 0.945 and RMSE value of 0.006. The R2 values of the multiple linear regression model are 0.844 based on the RSI and NGRDI indexes and RSI and VARI indexes. Additionally, based on the model, the cotton defoliation of the whole farmland was evaluated, and the spray prescription map of the UAV sprayer was obtained. [ABSTRACT FROM AUTHOR]

Background: Osteoarthritis (OA) is the main cause of older pain and disability. Intra-articular injections of ozone (O3) commonly have been found to have antioxidative and anti-inflammatory effects to reduce pain and improve function in knee osteoarthritis. It has been reported that reduced autophagy in chondrocytes plays an important role in the development of OA. This study aimed to probe the role of O3 on the autophagy in chondrocytes treated with IL-1β. Methods: Primary chondrocytes were isolated from Wistar rats cartilage within 3 days. The OA chondrocytes model was induced via treatment with IL-1β for 24 h. Then the cells were treated with O3 and GW9662, the inhibitor of PPARγ. Cell viability was assessed by CCK-8. Further, the cells subjected to Western blot analysis, qRT-PCR and immunofluorescence assay. The numbers of autophagosomes were observed via transmission electron microscopy. Results: 30 μg/ml O3 improved the viability of chondrocytes treated with IL-1β. The decreased level of autophagy proteins and the numbers of autophagosomes improved in IL-1β-treated chondrocytes with O3 via activating PPARγ/mTOR. In addition, the qRT-PCR results showed that O3 decreased the levels of IL-6, TNF-α and MMP-3, MMP-13 in chondrocytes treated with IL-1β. Conclusions: 30 μg/ml O3 improved autophagy via activating PPARγ/mTOR signaling and suppressing inflammation in chondrocytes treated with IL-1β. [ABSTRACT FROM AUTHOR]

Introduction: Many confounding factors such as sex, age, and body mass index (BMI) affect pulmonary function parameters, but there are limited data about the direct and/or indirect effects of small airway function on lung function for differences in confounding factors. Objectives: This study aimed to use structural equation model (SEM) to explain the influence of the confounding factors (age, sex, and BMI) on the relationship between small airway function and lung function in patients with lung cancer. Methods: A cross‐sectional observational study was conducted in a single medical center. Subjects were assessed; small airway function was specified by MEF25% and MEF50%; lung function by FVC; pulmonary obstruction by FEV1, FEV1%, and FEV1/FVC; and PEF and PEF% reflected the strength of abdominal muscles. The measurement model was analyzed by confirmatory factor analysis. The SEM was conducted to analyze the structural models of the effects of the confounding factors. Results: In the measurement model, variables were fit to their domains, the path linking age and sex to pulmonary obstruction was positive and statistically significant, and the path linking sex to muscle strength was also positive and statistically significant. Muscle strength positively and significantly mediates the path between sex and FVC. As a moderator, BMI increased the effects of small airway function on FVC. Conclusion: Age and sex were directed to pulmonary obstruction, and muscle strength as a mediator between sex and lung function was novel, and BMI adjusted the effects of small airway function on FVC. [ABSTRACT FROM AUTHOR]

Background: Open Tile C pelvic fractures are particularly severe. However, reports on their management and outcomes are relatively rare. This study analyzed the demographic and clinical characteristics of patients with open Tile C pelvic fractures and describes our management and outcomes of these injuries.Methods: This retrospective review included all patients with open Tile C pelvic fractures treated in our department between January 2014 and June 2021. Data on patient demographics, characteristics of the injuries, surgical management, and outcomes were analyzed.Results: Thirty patients with a mean age of 34.0 years met the diagnostic criteria. The average Injury Severity Score was 40.3. According to the Tile fracture classification, 6 patients sustained type C1.1, 12 sustained type C1.2, 3 sustained type C1.3, 5 sustained C2 and 4 sustained type C3. Most patients had soft tissue injuries in multiple zones. All patients sustained associated injuries. Management consisted of bed rest in 8 cases, external fixation as the final strategy in 14, conversion from external fixation to internal fixation in 3, open reduction with internal fixation in 5, and amputation in 6. The average amount of packed red blood cells transfused was 33.3 units, the average intensive care unit stay was 11.3 days, the mean number of operations required was 6.2, and the mean length of hospital stay was 81.8 days. The main complications were early soft tissue infections and venous thrombosis. One patient died of sepsis and multi-organ failure. Soft tissue injuries in multiple zones increased utilization of hospital resources whereas anorectal injuries did not. Vascular damage accompanying truck crush injuries had a high amputation rate.Conclusion: Open Tile C pelvic fractures require multidisciplinary diagnosis and management and consume considerable hospital resources. More emphasis needs to be placed on this complex injury. [ABSTRACT FROM AUTHOR]

The flame boundary is an important geometrical characteristic for the evaluation of flame properties such as heat release rate and radiation. Reliable and accurate measurement of the flame boundary is desirable for the prediction of flame structure and the optimization of combustion systems. Such measurement will inform the designers and operators of the combustion systems. This article presents for the first time a study of using an electrostatic sensor array for flame boundary measurement. The electrostatic sensor is placed in the vicinity of the flame to sense its movement through charge transfer. The principle, design, implementation, and assessment of a measurement system based on this methodology are introduced. Comparative experimental investigations with a digital camera conducted on a laboratory-scale combustion test rig show that the electrostatic sensor can respond to the variation of the distance between the electrode and the flame boundary. Reconstruction of the flame boundary is achieved using a set of distance measurements obtained from a sensor array. For diffusion flames over the range of fuel flow rate 0.60–0.80 L/min and premixed flames over the range of equivalence ratio 1.27–3.81, experimental results show that the measurement system is capable of providing a reliable measurement of the flame boundary. The correlation coefficients under all test conditions are mostly larger than 0.96, the mean relative errors within 7.4%, and the relative root-mean-square errors within 0.09. More accurate flame boundary measurements are achieved for diffusion flames. In addition, the overall polarity of charges in a flame can be determined from the polarity of the sensor signal. [ABSTRACT FROM AUTHOR]

The present work focuses on the state‐of‐charge (SOC) estimation of a lithium‐ion battery in terms of a second‐order extended Kalman filter (EKF). First, an equivalent circuit model is introduced to describe the performance of lithium‐ion batteries. The model parameters are then identified through hybrid pulse power characterization experiments conducted over a wide range of temperatures (−10 to 55°C). A two‐dimensional mathematical relationship is established with respect to the SOC and temperature based on a dual‐fifth polynomial expression. The main effects and sensitivities of the SOC and temperature on the parameters are analysed according to the principle of variance analysis and partial derivatives. An estimation algorithm is developed, which combines the two‐dimensional parameter model and second‐order EKF. Finally, the proposed approach is validated compared to other estimation schemes through discharge experiments under extreme temperatures and dynamic loading profiles, which yields experimental results that estimate the SOC with an absolute error of less than 4.5% under harsh conditions. This not only demonstrates that it can characterize dependency of the model parameters on the operating conditions and address the uncertainty of model parameters, but also verifies the advantage of present method at low temperatures especially at sub‐zero temperatures. [ABSTRACT FROM AUTHOR]

Volatile organic compounds (VOCs) have been recognized as one of the major environmental hazards in the air. Metal organic frameworks (MOFs) and their associated materials have offered an excellent strategy for the adsorption removal of VOCs. In this work, we develop a facile and rapid synthesis method of HKUST-1, a typical and ideal Cu-based MOF, for VOC adsorption by using hydrotalcite as the intermediate for efficient crystallization at room temperature. The results show that HKUST-1 can be successfully synthesized within 10 s at room temperature. The as-synthesized HKUST-1 has a Brunauer-Emmett-Teller surface area of 2170.7 m2 g−1 and a total pore volume of 0.977 cm3 g−1, which are among the highest reported values for such material. When tested for its benzene adsorption performance, the material can achieve a saturated adsorption capacity of 7.3 mmol g−1 at 35 °C. Based on the temperature-programmed desorption result, it is shown that the activation energy for the benzene desorption is 68.23 kJ mol−1. The material can demonstrate a relatively constant saturated adsorption capacity after several adsorption/desorption cycles, which indicates good regenerative performance. [ABSTRACT FROM AUTHOR]

Many studies supported that bone marrow mesenchymal stem cells (BM-MSCs) can differentiate into neural cells, but few researchers detected mature and function of nerve cells, especially in vivo study. Some researchers even suggested that BM-MSCs transplantation would not be able to differentiate into functional neural cells. To figure out the dispute, this study examined bone marrow-derived sphere-like cells, harvested via neural stem cell suspension culture, then identified as bone marrow-derived neural progenitor cells (BM-NPCs) by finding the expression of neural progenitor cells genes and proteins, neural progenitor cells characteristic and nerve cell differentiation induced through both methods. Moreover, BM-NPCs transplantation showed long-term survival and improved the ethological and histological indexes of brain injury rats, demonstrating functional nervous cells differentiated from BM-NPCs. These in vitro and in vivo results confirmed BM-NPCs differentiating into mature and functional nerve cells. This study provided valuable experimental data for BM-NPCs, suggesting a potential alternative treatment of central nervous injury disease. [ABSTRACT FROM AUTHOR]

Visible remote sensing of UAV has advantages of low cost, simple operation, real-time acquisition of remote sensing images and high ground resolution. This paper proposed a method of precise classification of cultivated land based on UAV visible remote sensing image. Taking the visible remote sensing image of some cultivated land in Shiqiao Village, Tieyong Town, Huidong County, Guangdong Province as the research object, the area information, shape information and location information of cultivated land were monitored and extracted. Two kinds of vegetation based on visible wave band were used in the image by object-oriented method. Based on the analysis of index, texture and shape information, the better scheme of extracting cultivated land information by classification was studied. After repeated experiments, the segmentation scale 45 and the merging scale 90 were determined as the segmentation parameters. At the same time, the non-planted cropland and other land objects were separated using band information and texture information. The overall accuracy of the method was 89.23%, and the Kappa coefficient was 0.72. The experimental results showed that although there were some cases of mistaken lifting and mistaken lifting of fine plots in the classification of cultivated land using UAV visible remote sensing data, the overall accuracy remained at a high level, which provided a reference for crop classification of cultivated land, and provided precise data basis for precision agriculture. [ABSTRACT FROM AUTHOR]

Background: The efficacy and safety of glucocorticoids for the treatment of patients with IgA nephropathy (IgAN) remains controversial. The aim of the study is to perform a metaanalysis of randomized controlled trials to evaluate the efficacy and safety of glucocorticoids for patients with IgAN. Methods: We searched PubMed, EMBASE and the Cochrane Library and article reference lists of Controlled Trials, and Clinical Trial Registries for randomized controlled trials comparing glucocorticoids with other non-immunosuppressive agents in patients with IgAN. Results: The present meta-analysis, including 10 RCTs and 791 patients from 12 published studies, showed that using glucocorticoids agents relatively preserves kidney function(RR 0.06, 95% CI 0.14–0.61) and plays an effective role on reducing the proteinuria(SMD, − 0.69; 95% CI 0.85 to − 0.53, p < 0.00001; heterogeneity I2 = 0%; p = 0.09) compared with a control group. Moreover, adverse events cannot be neglected, especially gastrointestinal tract (RR 3.10, 95% CI 1.37–6.98, p = 0.006; heterogeneity I2 = 0%, p = 0.86), and corticosteroid regimens in IgAN should be reviewed with regard to safety. Conclusions: Glucocorticoids were wildly used to treat various diseases including IgAN. Meanwhile, adverse events cannot be neglected, such as gastrointestinal adverse events, infection and so on. Corticosteroid should be used with reserve, especially in those patients with hypertension and impaired renal function or older patients. [ABSTRACT FROM AUTHOR]

Here, we report an ultrasensitive colorimetric method for determination of Ag+ based on gold nanoparticle (AuNP) oligomers with dark-field microscopy. In a proof-of-concept trial, two cytosine-rich (C-rich) aptamers as the sensing elements and AuNPs as the transducer to produce the detectable signal are designed for Ag+ determination. Obviously, the C bases in the two aptamers play a crucial role in the coordination of highly specific C–Ag+–C. Through a specific C–Ag+–C coordination, one aptamer immobilized on the surface of AuNPs sitting on a glass slide hybridizes with the other aptamer in the solution, which triggers the formation of AuNP oligomers. The formation of plasmonic oligomers results in an obvious increase in the number of yellow and red spots in dark-field images, further leading to a significantly enhanced scattering intensity. By measuring the intensity change of AuNP oligomers in the dark-field images, the concentration of Ag+ can be readily determined. The limits of detection (LODs) of 0.246 pM and 0.388 pM in solution and river water sample were obtained, respectively. This ultrasensitive colorimetric approach could be extended to probe Hg2+ via T–Hg2+–T coordination in environmental samples. [ABSTRACT FROM AUTHOR]

Non-thermal plasma (NTP) catalysis has attracted widespread attention in volatile organic compounds (VOCs). Combining NTP with heterogeneous catalyst has been proved to reduce the formation of unwanted by-products and improve the energy efficiency of the process. The mechanisms of interaction with plasma and catalyst and VOCs oxidation in plasma catalysis are particularly hot research topic. This paper reviewed the mechanism of non-thermal plasma catalysis on volatile organic compounds removal. In the first part, the interaction between plasma and catalyst is disscussed. And the different catalysis systems and discharge types are presented in the second part. In the third part, attention is given to the influence of critical parameters on the removal processes. Finally, based on a large number of literatures, an extended review is presented detailly on the treatment of VOCs with plasma-catalysis system including the oxidation pathways. Moreover, future works of this promising technology are discussed. [ABSTRACT FROM AUTHOR]