Enhancing RABASAR for Multi-Temporal SAR Image Despeckling through Directional Filtering and Wavelet Transform.

The presence of speckle noise severely hampers the interpretability of synthetic aperture radar (SAR) images. While research on despeckling single-temporal SAR images is well-established, there remains a significant gap in the study of despeckling multi-temporal SAR images. Addressing the limitations in the acquisition of the "superimage" and the generation of ratio images within the RABASAR despeckling framework, this paper proposes an enhanced framework. This enhanced framework proposes a direction-based segmentation approach for multi-temporal SAR non-local means filtering (DSMT-NLM) to obtain the "superimage". The DSMT-NLM incorporates the concept of directional segmentation and extends the application of the non-local means (NLM) algorithm to multi-temporal images. Simultaneously, the enhanced framework employs a weighted averaging method based on wavelet transform (WAMWT) to generate superimposed images, thereby enhancing the generation process of ratio images. Experimental results demonstrate that compared to RABASAR, Frost, and NLM, the proposed method exhibits outstanding performance. It not only effectively removes speckle noise from multi-temporal SAR images and reduces the generation of false details, but also successfully achieves the fusion of multi-temporal information, aligning with experimental expectations.

Optimization of Signal Timing for Urban Expressway Exit Ramp Connecting Intersection.

To alleviate the traffic problems of congestion and queue overflow on a mainline at the intersection of an urban expressway exit ramp articulation during peak hours, a bi-level programming optimization model of signal timing is proposed. The lower-level optimization objective is to maximize the capacity of the expressway exit ramp that articulates with the entrance road, while the upper-level optimization objective is to minimize the average vehicle delay and the number of stops per vehicle, taking into account the queue length in the direction of the ramp and other directions. The particle swarm optimization algorithm is selected to solve the proposed model, applied to a real case, and is validated using MATLAB and VISSIM simulation platforms. The simulation results show that the average vehicle delay and the number of stops per vehicle in the exit ramp on the expressway are reduced by 22.09% and 18.60%, while those in the intersection area are reduced by 20.96% and 17.19%, respectively. The conclusion indicates that the signal timing scheme obtained by this method can effectively improve the traffic efficiency at the intersection of the exit ramp on the expressway and alleviate the problem of congestion and the overflow of the exit ramp back to the mainline.

Geometric Self-Calibration of YaoGan-13 Images Using Multiple Overlapping Images.

Geometric calibration is an important means of improving the absolute positioning accuracy of space-borne synthetic aperture radar imagery. The conventional calibration method is based on a calibration field, which is simple and convenient, but requires a great deal of manpower and material resources to obtain ground control points. Although newer cross-calibration methods do not require ground control points, calibration accuracy still depends on a periodically updated reference image. Accordingly, this study proposes a geometric self-calibration method based on the positioning consistency constraint of conjugate image points to provide rapid and accurate calibration of the YaoGan-13 satellite. The proposed method can accurately calibrate geometric parameters without requiring ground control points or high-precision reference images. To verify the absolute positioning accuracy obtained using the proposed self-calibration method, YaoGan-13 Stripmap images of multiple regions were collected and evaluated. The results indicate that high-accuracy absolute positioning can be achieved with a plane accuracy of 3.83 m or better for Stripmap data, without regarding elevation error. Compared to the conventional calibration method using high-accuracy control data, the difference between the two methods is only about 2.53 m, less than the 3-m resolution of the image, verifying the effectiveness of the proposed self-calibration method.

Assessing pollution and risk of polycyclic aromatic hydrocarbons in sewage sludge from wastewater treatment plants in China's top coal-producing region.

Managing and disposing of sewage sludge have been a severe environmental challenge around the world. China produces hundreds of million tons of sewage sludge annually, and a better understanding of the extent and risk of the associated pollution is of critical importance for implementing environmentally safe regulations and practices. The present study examined the quantity, composition, source, and risk of polycyclic aromatic hydrocarbons (PAHs) in sewage sludge from 18 wastewater treatment plants (WWTPs) in Shaanxi, one of China's top coal-producing provinces. The total concentrations of 16 PAHs varied from 778 to 3264 ng/g dry weight, which is below the upper safety limit (5000 ng/g dry weight) set for the disposal of sludge from municipal wastewater treatment plants for agricultural use in China. However, the concentration of individual PAH compound exceeded the acceptable level prescribed by the Netherland Soil Standard. Three-ring PAHs were the most abundant constituent (50% of total PAHs on average), followed by four-ring PAHs averaging 25%. Relative to sludge PAHs in the same region a decade ago, the total concentrations decreased by more than 27% and the composition shifted to a more pronounced dominance by low molecular weight compounds. This compositional shift suggests higher contributions of petrogenic sources, which may reflect China's increasing consumption of petroleum products over the past decade. The flux of sludge PAHs from each WWTP was positively correlated with the corresponding city's GDP and population, and the total flux amounted to over 100 kg each year for WWTPs in the Xi'an city. The mean toxicity equivalent quantity (TEQ) value was more than twice higher than the value recommended by the Netherlands Soil Standard, and seven carcinogenic PAHs were the primary contributor (i.e., 89-99%) of the TEQ. Collectively, our findings demonstrate that sewage sludge PAHs in Shaanxi constitute a significant source of environmental pollution and toxicity, which cautions against the direct discharge and reuse of sewage sludge and further highlights challenges in managing and disposing of the vast quantities of sewage sludge in China.

Block Adjustment without GCPs for Chinese Spaceborne SAR GF-3 Imagery.

The Gaofen-3 (GF-3) satellite is the first C-band multi-polarization synthetic aperture radar (SAR) with the ability of high-accuracy mapping in China. However, the Ground Control Points (GCPs) are essential to ensure the accuracy of mapping for GF-3 SAR imagery at present. In this paper, we analyze the error sources that affect the geometric processing and propose a new block adjustment method without GCPs for GF-3 SAR imagery. Firstly, the geometric calibration of GF-3 image is carried out. Secondly, the rational polynomial coefficient (RPC) model is directly generated after the geometric calibration parameters compensation of each image. Finally, we solve the orientation parameters of the GF-3 images through DEM assisted planar block adjustment and conduct ortho-rectification. With two different imaging modes of GF-3 satellite, which include the QPSI and FS2, we carry out the block adjustment without GCPs. Experimental results of testing areas including Wuhan city and Hubei province in China show that the geometric mosaic accuracy and the absolute positioning accuracy of the orthophoto are better than one pixel, which has laid a good foundation for the application of GF-3 image in global high-accuracy mapping.

Geometric Calibration and Accuracy Verification of the GF-3 Satellite.

The GF-3 satellite is the first multi-polarization synthetic aperture radar (SAR) imaging satellite in China, which operates in the C band with a resolution of 1 m. Although the SAR satellite system was geometrically calibrated during the in-orbit commissioning phase, there are still some system errors that affect its geometric positioning accuracy. In this study, these errors are classified into three categories: fixed system error, time-varying system error, and random error. Using a multimode hybrid geometric calibration of spaceborne SAR, and considering the atmospheric propagation delay, all system errors can be effectively corrected through high-precision ground control points and global atmospheric reference data. The geometric calibration experiments and accuracy evaluation for the GF-3 satellite are performed using ground control data from several regions. The experimental results show that the residual system errors of the GF-3 SAR satellite have been effectively eliminated, and the geometric positioning accuracy can be better than 3 m.

Improvement of Gaofen-3 Absolute Positioning Accuracy Based on Cross-Calibration.

The Chinese Gaofen-3 (GF-3) mission was launched in August 2016, equipped with a full polarimetric synthetic aperture radar (SAR) sensor in the C-band, with a resolution of up to 1 m. The absolute positioning accuracy of GF-3 is of great importance, and in-orbit geometric calibration is a key technology for improving absolute positioning accuracy. Conventional geometric calibration is used to accurately calibrate the geometric calibration parameters of the image (internal delay and azimuth shifts) using high-precision ground control data, which are highly dependent on the control data of the calibration field, but it remains costly and labor-intensive to monitor changes in GF-3's geometric calibration parameters. Based on the positioning consistency constraint of the conjugate points, this study presents a geometric cross-calibration method for the rapid and accurate calibration of GF-3. The proposed method can accurately calibrate geometric calibration parameters without using corner reflectors and high-precision digital elevation models, thus improving absolute positioning accuracy of the GF-3 image. GF-3 images from multiple regions were collected to verify the absolute positioning accuracy after cross-calibration. The results show that this method can achieve a calibration accuracy as high as that achieved by the conventional field calibration method.

Multi-Mode GF-3 Satellite Image Geometric Accuracy Verification Using the RPC Model.

The GaoFen-3 (GF-3) satellite is the first C-band multi-polarization synthetic aperture radar (SAR) imaging satellite with a resolution up to 1 m in China. It is also the only SAR satellite of the High-Resolution Earth Observation System designed for civilian use. There are 12 different imaging models to meet the needs of different industry users. However, to use SAR satellite images for related applications, they must possess high geometric accuracy. In order to verify the geometric accuracy achieved by the different modes of GF-3 images, we analyze the SAR geometric error source and perform geometric correction tests based on the RPC model with and without ground control points (GCPs) for five imaging modes. These include the spotlight (SL), ultra-fine strip (UFS), Fine Strip I (FSI), Full polarized Strip I (QPSI), and standard strip (SS) modes. Experimental results show that the check point residuals are large and consistent without GCPs, but the root mean square error of the independent checkpoints for the case of four corner control points is better than 1.5 pixels, achieving a similar level of geometric positioning accuracy to that of international satellites. We conclude that the GF-3 satellite can be used for high-accuracy geometric processing and related industry applications.

Endoplasmic reticulum stress-mediated apoptosis is activated in intestines of mice with Trichinella spiralis infection.

Gastrointestinal helminth infection, including Trichinella spiralis, initiates a series of intestinal structural, cellular and physiological changes. Intestinal invasion is an important stage of trichinellosis because it determines the development and subsequent course of the disease and its consequences. Apoptosis mediated by endoplasmic reticulum stress (ERS) plays a key role in infectious diseases, but the effect of T. spiralis infection on inducing apoptosis in the small intestine has been neglected. We investigated apoptosis and changes in ERS-associated apoptosis molecules in the intestine of mice with T. spiralis infection. TUNEL staining and detection of the apoptotic marker cleaved caspase 3 revealed that apoptosis occurred in the mouse intestine at days 3 and 7 post-infection. The ER chaperone 78-kDa glucose-regulated protein (GRP78) was upregulated at days 3 and 7 post-infection. The ERS-associated apoptosis molecules C/EBP homologous protein, cleaved caspase 12 and c-Jun NH2-terminal kinase were upregulated at days 3 and 7, days 3, 7 and 10 and days 7 and 10 post-infection, respectively. Thus, apoptosis occurred in the intestine of mice with T. spiralis infection, and the ERS-mediated apoptosis pathway was activated by infection with this small intestine dwelling nematode.

Systemic cytokine profiles and splenic toll-like receptor expression during Trichinella spiralis infection.

Parasitic helminth and their products can suppress or modulate the host immune response for long-term survival and continued infection. Commonly, helminth can induce conditional T helper cell type 2 (Th2) response, regulatory T cell and cytokines, and altered function of antigen presentation cells by modulating toll-like receptors (TLRs). The helminth Trichinella spiralis establishes chronic infection in skeletal muscles of a wide range of mammalian hosts. We infected mice with T. spiralis and investigated Th1/Th2/Th17 cytokine profiles in serum and expression of TLRs and related signal molecules in spleen at various times post-infection. The infection evoked a mixed Th1/Th2 and inhibited Th17 immune response, with initial predominance of a Th1 response in intestine stage and subsequent predominance of a Th2 response in muscle stage. Different stages of infection had different impacts on the expression of TLRs and related signaling molecules. In the adult stage of infection, TLR1 and TLR4 were upregulated and the MyD88-dependent signal pathway was activated. The muscle larvae inhibited TLR4 and TRIF-dependent signal pathway. Our results implied that T. spiralis infection may regulate Th1/Th2/Th17 cytokine production through TLRs.

Comparison of three molecular detection methods for detection of Trichinella in infected pigs.

Different molecular detection methods require diverse molecular platforms, but there is no uniform standard for people to reference in the detection of Trichinella. In this study, real-time PCR, loop-mediated isothermal amplification (LAMP), and conventional PCR were developed for the detection of Trichinella by targeting mitochondrial large subunit ribosomal DNA (mt-lsrDNA). We compared the performance of the three newly developed assays. The results revealed that the detection limits of the real-time PCR, LAMP, and conventional PCR assays were 10 and 100 fg/µL and 1 pg/µL of Trichinella spiralis genomic DNA, respectively. The assays were used in the detection of Trichinella in the field. A total of 192 samples were obtained from pigs: 75 samples from free range farming and 117 from intensive feeding factory. The infection rate was 8/192 (4.2 %), 7/192 (3.6 %), and 1/192 (1.0 %) through the real-time PCR, LAMP, and conventional PCR assays, respectively. These data indicate that Taqman real-time PCR was a rapid, specific, and sensitive tool as a preferred option for investigation of valuable samples, but that LAMP assay was closed tube, highly sensitive, cost-effective, rapid, easy-to-perform, and was the optimal choice for detection of Trichinella in the field. The results of a model of experimental infection in mice indicated that spleen can be used as sampling site for the detection of early T. spiralis infection. However, the diaphragm and myocardium were the most suitable sampling sites for the detection of T. spiralis.

Analysis of the bacterial diversity existing on animal hide and wool: development of a preliminary PCR-restriction fragment length polymorphism fingerprint database for identifying isolates.

Twenty-one bacterial strains were isolated from imported cattle hide and rabbit wool using two types of media, nutrient broth, and nutrient broth with serum. The bacteria identified were Brevibacillus laterosporus, Leclercia adecarboxylata, Peptococcus niger, Bacillus circulans, Raoultella ornithinolytica, Bacillus subtilis, Bacillus cereus, Bacillus thermobacillus, Bacillus choshinensis, Bacillus sphaericus, Acinetobacter haemolyticus, Sphingomonas paucimobilis, Bacillus thuringiensis, Staphylococcus intermedius, Mycobacteria, Moraxella, Klebsiella pneumoniae, Ralstonia pickettii, Staphylococcus chromogenes, Comamonas testosteroni, and Cupriavidus pauculus. The 16s rDNA gene of each bacterium was amplified using the universal primers 27f and 1492r. The amplicons were digested with AvaI, BamHI, BgII, DraI, EcoRI, EcoRV, HindIII, HinfI, HpaI, PstI, SmaI, TaqII, XbaI, XmaI, AluI, XhoI, and PvuI individually. A specific fingerprint from the PCR-restriction fragment length polymorphism method based on 16s rDNA was obtained for each bacterium. The results showed that the method developed was useful not only for bacterial identification but also for the etiological investigation of pathogens in imported animal hair and wool.

New role of antibody in bacterial isolation.

To eliminate the interference caused by Pseudomonas aeruginosa in the isolation of Salmonella, a rabbit polyclonal antibody against P. aeruginosa was prepared by inoculating four New Zealand rabbits with the pathogen. The antiserum was purified using saturated ammonium sulfate and added into Rappaport-Vassiliadis medium with soya (RVS) broth and Muller-Kauffmann tetrathionate novobiocin broth (MKTTn broth) to evaluate whether it could inhibit the growth of P. aeruginosa. Observations by scanning electron microscopy demonstrated that P. aeruginosa was attacked and destroyed by the antibody when incubated for 10 min at 37 degrees C. The activity of the antibody was also effective against 11 other strains of P. aeruginosa. Twenty-six strains of Salmonella were mixed with P. aeruginosa in RVS and MKTTn broth at 37 degrees C for 12 h, respectively, and the cultures were plated on Salmonella chromogenic medium (SCM; Oxoid, Basingstoke, UK). Only Salmonella grew on SCM; five colonies were randomly selected for identification by VITEK 2 (bioMérieux, Lyon, France). Additionally, when mixed with two strains of Enterobacter cloacae (ATCC 700323 and YG001), the prepared antibody did not affect the growth of E. cloacae. The results demonstrated that the microbicidal activity of the antibody did not affect the tested Salmonella sp. or E. cloacae strains. Therefore, the antibody generated could be used to increase the accuracy of Salmonella isolation.

Comprehensive metrological and content analysis of the income inequality research in health field: A bibliometric analysis.

The association between income inequality in a society and the poor health status of its people has attracted the attention of researchers from multiple disciplines. Based on the ISI Web of Science database, bibliometric methods were used to analyze 546 articles related to income inequality research in health field published between 1997 and 2021. We found that the USA contributed most articles, the Harvard Univ was the most influential institution, Social Science & Medicine was the most influential journal, and Kawachi I was the most influential author; the main hotspots included the income inequality, income, health inequality, mortality, socioeconomic factors, concentration index, social capital, self-rated health, income distribution, infant mortality, and population health in 1997-2021; the cardiovascular disease risk factor, social capital income inequality, individual mortality risk, income-related inequalities, understanding income inequalities, income inequality household income, and state income inequality had been the hot research topics in 1997-2003; the self-assessed health, achieving equity, income-related inequalities, oral health, mental health, European panel, occupational class, and cardiovascular diseases had been the hot research topics in 2004-2011; the adolescent emotional problem, South Africa, avoidable mortality, rising inequalities, results from world health survey, working-age adult, spatial aggregation change, prospective study, and mental health-empirical evidence had been the hot research topics in 2012-2021; there were 11 articles with strong transformation potential during 2012-2021. The research results of this paper are helpful to the scientific understanding of the current status of income inequality research in health field.

Trends, Issues and Future Directions of Urban Health Impact Assessment Research: A Systematic Review and Bibliometric Analysis.

Health impact assessment (HIA) has been regarded as an important means and tool for urban planning to promote public health and further promote the integration of health concept. This paper aimed to help scientifically to understand the current situation of urban HIA research, analyze its discipline co-occurrence, publication characteristics, partnership, influence, keyword co-occurrence, co-citation, and structural variation. Based on the ISI Web database, this paper used a bibliometric method to analyze 2215 articles related to urban HIA published from 2012 to 2021. We found that the main research directions in the field were Environmental Sciences and Public Environmental Occupational Health; China contributed most articles, the Tehran University of Medical Sciences was the most influential institution, Science of the Total Environment was the most influential journal, Yousefi M was the most influential author. The main hotspots include health risk assessment, source appointment, contamination, exposure, particulate matter, heavy metals and urban soils in 2012-2021; road dust, source apposition, polycyclic aromatic hydrocarbons, air pollution, urban topsoil and the north China plain were always hot research topics in 2012-2021, drinking water and water quality became research topics of great concern in 2017-2021. There were 25 articles with strong transformation potential during 2020-2021, but most papers carried out research on the health risk assessment of toxic elements in soil and dust. Finally, we also discussed the limitations of this paper and the direction of bibliometric analysis of urban HIA in the future.

An STP-HSI index method for urban built-up area extraction based on multi-source remote sensing data.

A change in an urban built-up area can reflect the process of urbanization and the development of a city. At present, multi-source remote sensing data extraction of built-up areas based on the human settlement index (HSI) has achieved relatively good results but the existence of noise, such as light spillover in the night-time light remote sensing data, seriously affects the accuracy of the HSI. In this paper, a high-precision human settlement index (STP-HSI) method based on spatio-temporal remote sensing and point-of-interest (POI) data is presented to improve the classification accuracy in urban built-up areas extractions. First, to correct light spillover, a new night-time light index the fuzzy c-means spatio-temporal point (FCM-STP) based on fuzzy c-means clustering is proposed, which integrates the spatio-temporal characteristics and uses night light video imaging data from Luojia-1 and POI data. Then, based on the FCM-STP index, the HSI is updated to the STP-HSI index. Finally, a random forest algorithm is used to extract the urban built-up areas, and the random forest feature database is composed of normalized difference vegetation index (NDVI), normalized difference built-up index (NDBI) and STP-HSI index features and texture features. To develop and evaluate the accuracy of the new method for built-up areas extraction with multi-source data, three test sites located in the cities of China (Guangzhou, Xiamen and Nanjing) are used. The experimental results show that our method outperforms the single-source multi-spectral (Landsat 8) data extraction results, the overall accuracy is improved by up to 7.52%, and the kappa coefficient is improved by up to 14%. Compared with the HSI index, the maximum contribution rates of the STP-HSI increased by 25.74%. These experimental results show that the method in this paper is feasible.

Pulmonary Hypertension Caused by Fibrosing Mediastinitis.

Pulmonary hypertension (PH) is a progressive and severe disorder in pulmonary hemodynamics. PH can be fatal if not well managed. Fibrosing mediastinitis (FM) is a rare and benign fibroproliferative disease in the mediastinum, which may lead to pulmonary vessel compression and PH. PH caused by FM (PH-FM) is a pathologic condition belonging to group 5 in the World Health Organization PH classification. PH-FM has a poor prognosis because of a lack of effective therapeutic modalities and inappropriate diagnosis. With the development of percutaneous pulmonary vascular interventional therapy, the prognosis of PH-FM has been greatly improved in recent years. This article provides a comprehensive review on the epidemiology, pathophysiologic characteristics, clinical manifestations, diagnostic approaches, and treatment modalities of PH-FM based on data from published reports and our medical center with the goal of facilitating the diagnosis and treatment of this fatal disease.

Detection of parvalbumin, a common fish allergen gene in food, by real-time polymerase chain reaction.

Fish, as one of the most common causes of IgE-mediated food hypersensitivity, has recently received increasing attention from the food industry and legislative and regulatory agencies. A real-time polymerase chain reaction assay based on TaqMan-MGB probe technology was developed for the detection of parvalbumin, a major fish allergen gene. The assay had a sensitivity up to 5 pg purified fish DNA and had no cross-reaction with other species, such as cattle, sheep, swine, chicken, shrimp, lobster, crab, squid, clam, rice, soybean, maize, and potato. The coefficient of variation for both intra- and interexperimental variability demonstrated high reproducibility and accuracy. The assay proved to be a potential tool for the detection and label management of fish allergens in food.

Occurrence, seasonal variation and environmental impact of phosphorus flame retardants in a large scale wastewater treatment plant.

The occurrence, seasonal variation and emission of nine widely used phosphorus flame retardants (PFRs) were investigated in a wastewater treatment plant (WWTP) located in Guangzhou, China, over 1 year. Results showed that PFRs were widely detected in wastewater and sewage sludge. Tris(2-chloroisopropyl) phosphate (TCIPP) was the most dominant PFRs in influent, effluent, and sludge. Significant seasonal variation of total PFRs in the influent was observed (p < 0.05). However, no significant seasonal variation found in chlorinated and alkyl PFRs. The emission of PFRs was comparable with the previously reported values of decabromodiphenyl ether in WWTPs. Risk quotient for PFRs showed low eco-toxicity risk in effluent for aquatic organisms. Since the removal efficiency of total PFRs was less than 30% and the use of PFRs had been increasing, continuous monitoring of the environmental impact on the receiving water is still needed.

Organophosphorus flame retardants and heavy metals in municipal landfill leachate treatment system in Guangzhou, China.

The occurrence, distribution and removal efficiencies of organophosphorus flame retardants (OPFRs) and metals were examined in a municipal landfill leachate treatment system in Guangzhou, China. Five OPFRs and thirty-five metals were detected in wastewater samples collected at different treatment stages. ∑OPFRs was reduced from 4807.02 ng L-1 to 103.91 ng L-1 through the treatment system, with close to 98% removed from the dissolved phase. Tris(clorisopropyl) phosphates (TCPPs) dominated through the treatment process and accounted for over 80% and 50% of ∑OPFRs at the influent and the effluent, respectively. TCPPs were most efficiently removed (98.6%) followed by tris(2-chloroethyl) phosphate (TCEP) (96.6%) and triphenyl phosphate (TPP) (88.5%). For metals, Fe, Cr, and Rb were dominant in the raw leachate, detected at 7.55, 2.82, and 4.50 mg L-1, respectively. Thirteen regulated heavy metals - including eight major pollutants (i.e., As. Cd, Cr, Cu, Hg, Ni, Pb, and Zn) - have been detected in all wastewater samples at sub-mg L-1 levels. Over 99.5% removal was achieved for Cr, Ni, and Fe, and close to 95% removal efficiency was observed for Rb. For the eight major heavy metals, over 99% removal was observed; the only exception was Cu, which was removed at 89%. It was found that microfiltration/reverse osmosis was critical for the removal of OPFRs and heavy metals while the core biological treatment played a minor role towards their removal. Remobilization of Co, Cu, Fe, Hg, Mn, Ni, Sb, and Sr from the returned sludge occurred during the second denitrification, indicating the need for additional post-biological process for effective removal of both contaminants. This study highlights the critical need to develop cheap, effective treatment technologies for contaminants-laden leachate generated from open dumps and under-designed landfills.