| 1. |
- Chen, Weiwei, et al.
(författare)
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Lane departure warning systems and lane line detection methods based on image processing and semantic segmentation : A review
- 2020
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Ingår i: Journal of Traffic and Transportation Engineering (English Edition). - : Elsevier BV. - 2095-7564. ; 7:6, s. 748-774
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Forskningsöversikt (refereegranskat)abstract
- Recently, the development and application of lane line departure warning systems have been in the market. For any of the systems, the key part of lane line tracking, lane line identification, or lane line departure warning is whether it can accurately and quickly detect lane lines. Since 1990s, they have been studied and implemented for the situations defined by the good viewing conditions and the clear lane markings on road. After then, the accuracy for particular situations, the robustness for a wide range of scenarios, time efficiency and integration into higher-order tasks define visual lane line detection and tracking as a continuing research subject. At present, these kinds of lane marking line detection methods based on machine vision and image processing can be divided into two categories: the traditional image processing and semantic segmentation (includes deep learning) methods. The former mainly involves feature-based and model-based steps, and which can be classified into similarity- and discontinuity-based ones; and the model-based step includes different parametric straight line, curve or pattern models. The semantic segmentation includes different machine learning, neural network and deep learning methods, which is the new trend for the research and application of lane line departure warning systems. This paper describes and analyzes the lane line departure warning systems, image processing algorithms and semantic segmentation methods for lane line detection.
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| 2. |
- Fei, Yiqiu, et al.
(författare)
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The Role of Dihydroresveratrol in Enhancing the Synergistic Effect of Ligilactobacillus salivarius Li01 and Resveratrol in Ameliorating Colitis in Mice
- 2022
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Ingår i: Research. - : American Association for the Advancement of Science (AAAS). - 2096-5168 .- 2639-5274. ; 2022
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Tidskriftsartikel (refereegranskat)abstract
- Currently approved therapeutical strategies for inflammatory bowel diseases (IBD) suffer from variable efficacy and association with risk of serious side effects. Therefore, efforts have been made in searching for alternative therapeutics strategies utilizing gut microbiota manipulation. In this study, we show that the probiotic strain Ligilactobacillus salivarius Li01 (Li01) and the phytochemical prebiotic resveratrol (RSV) have synergistic effect in ameliorating colitis in mice. Oral coadministration of Li01 (10(9) CFU/d) and RSV (1.5 g/kg/d) promoted restoration of various inflammatory injuries and gut microbiota composition, exhibiting a favorable anti-inflammatory effect in DSS-induced colitis mice. The combination treatment was associated with reductions in the levels of proinflammatory cytokines IL-1 beta and IL-6 and increases in the levels of the anti-inflammatory cytokine IL-17A in mouse serum. Moreover, the combination treatment was found to alter the composition and metabolism of the gut microbiota, especially influencing the production of short chain fatty acids and anti-inflammatory related molecules. The mechanism underlying the improved anti-inflammatory effect from the RSV and Li01 combination treatment was found to be associated with the environmental sensor mammalian aryl hydrocarbon receptor (AHR) and tryptophan metabolism pathway. Administration of RSV in combination with Li01 in different mouse model led to enhanced conversion of RSV into metabolites, including dihydroresveratrol (DHR), resveratrol-sulfate, and resveratrol-glucuronide. DHR was found to be the dominant metabolite of RSV in conventional and colitis mice. An increased DHR/RSV ratio was confirmed to activate AHR and contribute to an enhanced anti-inflammatory effect. DHR is considered as a potential AHR ligand. The DHR/RSV ratio also affected the serotonin pathway by controlling the expression of Tph1, SERT, and 5-HT7R leading to amelioration of colitis in mice. Our data suggest that treatment with a combination of Li01 and RSV has potential as a therapeutic strategy for IBD; further investigation of this combination in clinical settings is warranted.
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| 3. |
- Li, Hongxia, et al.
(författare)
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A review of deep learning methods for pixel-level crack detection
- 2022
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Ingår i: Journal of Traffic and Transportation Engineering (English Edition). - : KEAI PUBLISHING LTD. - 2095-7564. ; 9:6, s. 945-968
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Forskningsöversikt (refereegranskat)abstract
- Cracks are a major sign of aging transportation infrastructure. The detection and repair of cracks is the key to ensuring the overall safety of the transportation infrastructure. In recent years, due to the remarkable success of deep learning (DL) in the field of crack detection, many researches have been devoted to developing pixel-level crack image seg-mentation (CIS) models based on DL to improve crack detection accuracy, but as far as we know there is no review of DL-based CIS methods yet. To address this gap, we present a comprehensive thematic survey of DL-based CIS techniques. Our review offers several contributions to the CIS area. First, more than 40 papers of journal or top conference most published in the last three years are identified and collected based on the systematic literature review method. Second, according to the backbone network architecture of the models proposed in them, they are grouped into 10 topics: FCN, U-Net, encoder-decoder model, multi-scale, attention mechanism, transformer, two-stage detection, multi-modal fusion, unsupervised learning and weakly supervised learning, to be reviewed. Meanwhile, our survey focuses on discussing strengths and limitations of the models in each topic so as to reveal the latest research progress in the CIS field. Third, publicly accessible data sets, evaluation metrics, and loss functions that can be used for pixel-level crack detection are systematically introduced and summarized to facilitate researchers to select suitable components according to their own research tasks. Finally, we discuss six common problems and existing solutions to them in the field of DL-based CIS, and then suggest eight possible future research directions in this field. (c) 2022 Periodical Offices of Changan University. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC -ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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| 4. |
- Shen, Weixing, et al.
(författare)
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Protective effects of Wang-Bi tablet on bone destruction in collagen-induced arthritis by regulating osteoclast-osteoblast functions.
- 2019
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Ingår i: Journal of Ethnopharmacology. - : Elsevier BV. - 0378-8741 .- 1872-7573. ; 238
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Tidskriftsartikel (refereegranskat)abstract
- ETHNOPHARMACOLOGICAL RELEVANCE: Wang-bi tablet (WB) consists of 17 traditional Chinese medicines and has been used for treating rheumatoid arthritis (RA) in China for many years, however, its pharmacologic mechanism is not clear.AIM OF STUDY: The aim of this study was to investigate the therapeutic effect of WB on collagen-induced mouse arthritis and explored the underlying mechanism.MATERIALS AND METHODS: DBA/1 mice were used to establish a type II collagen-induced arthritis (CIA) model. From the day of arthritis onset, mice were treated daily by gavage with either total glucosides of paeony (TGP, 0.37 g/kg/d) or WB at a lower (1.11 g/kg/d, WBL) or higher dose of (3.33 g/kg/d, WBH) for 8 weeks. The severity of arthritis, levels of cytokines and the activation of signaling pathways were determined.RESULTS: Our results revealed that WB treatment effectively alleviated inflammatory symptoms and prevented bone erosions and joint destructions. It obviously decreased the serum concentration of pro-inflammatory cytokines TNF-α, IL-6 and IL-17α, while increased the concentration of anti-inflammatory cytokine IL-10. Interestingly, the proportion of splenic Treg cells were increased significantly. In vitro experiments showed that WB inhibited the differentiation of osteoclasts. Consistently, the mRNA levels of tartrate-resistant acid phosphatase (TRAP) and cathepsin K (CtsK), and the activation of NF-κB and JAK-STAT3 signaling pathways in the paws of CIA mice were inhibited by WB treatment. On the other hand, up-regulation of osteogenic genes Runx2, Osterix mRNA, and activation of Wnt/β-catenin signaling pathway along with a decreased receptor activator of nuclear factor κB ligand (RANKL) expression were found in WB treated mice.CONCLUSION: Our results suggest that the therapeutic effect of Wang-bi tablet could be attributed to its inhibitory activity on NF-κB and STAT3 signaling pathway-mediated osteoclast differentiation, and its enhancement on Wnt/β-catenin signaling pathway-mediated osteoblast functions.
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| 5. |
- Duan, Zheng, et al.
(författare)
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Atmospheric mercury pollution in the xi’an area, china, studied by differential absorption lidar
- 2021
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Ingår i: Atmosphere. - : MDPI AG. - 2073-4433. ; 12:1
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Tidskriftsartikel (refereegranskat)abstract
- Measurements of the atmospheric concentration of polluting atomic mercury were performed using the differential absorption lidar (DIAL) technique in the Lintong district, about 35 km northeast of Xi’an, the capital of the Shaanxi province, China. Concentrations ranging from 2 to 13 ng/m3 were observed. As uniquely enabled by the lidar technique, representative average concentrations, integrated over a considerable volume, were recorded and put in relation to weather conditions, and vertical concentration profiles were measured. Considerable local non-uniformities were also observed, which may indicate the presence of localized hot-spots in the area, possibly related to ancient tombs.
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| 6. |
- Duan, Z. -T, et al.
(författare)
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A K-th shortest path set algorithm for urban traffic network
- 2014
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Ingår i: Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology. - 1009-6744. ; 14:3, s. 194-200
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Tidskriftsartikel (refereegranskat)abstract
- In urban traffic network, it is important to optimize traffic flow of the K-th shortest path that meets the travel demand and then allocate the OD traffic flow onto the paths. This paper investigates the algorithm of searching K-th shortest path that meets the travel demand. The method overcomes the weakness of the traditional algorithm that can only get single K-th shortest path. According to the second principle of Wardrop and the road impedance function theory, the paper analyzes the necessity of the path set searching method for optimizing traffic flow, and proposes the definition and criterions of the K-th shortest path set in urban traffic network. Then, it presents an algorithm with the polynomial time complexity for searching K-th shortest path set in urban traffic network. The simulation results show that all of the K-th shortest path which meet the travel demand can be obtained effectively, and the feasibility of traffic allocation on above path set is proved with comparison of traditional algorithms.
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| 7. |
- Li, Weixing, et al.
(författare)
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Atmospherically relevant acrolein-water complexes : spectroscopic evidence of aldehyde hydration and oxygen atom exchange
- 2019
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Ingår i: Physical Chemistry, Chemical Physics - PCCP. - : Royal Society of Chemistry (RSC). - 1463-9076 .- 1463-9084. ; 21:42, s. 23559-23566
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Tidskriftsartikel (refereegranskat)abstract
- Direct spectroscopic evidence of a reaction occurring between acrolein and water and involving the exchange of an oxygen atom has been obtained by characterizing the non-covalently bound water complexes and their isotopic forms, via rotational spectroscopy. The experimental geometries of the binary and ternary water complexes have been determined, and other stationary points on the reaction path have been characterized using ab initio quantum chemical methods at the MP2/6-311++G(d,p) level. These results can enhance the understanding of the water-mediated atmospherically important reactions involving acrolein.
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| 8. |
- Rodriguez-Furlan, Cecilia, et al.
(författare)
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Interaction between VPS35 and RABG3f is necessary as a checkpoint to control fusion of late compartments with the vacuole
- 2019
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Ingår i: Proceedings of the National Academy of Sciences of the United States of America. - : Proceedings of the National Academy of Sciences. - 0027-8424 .- 1091-6490. ; 116:42, s. 21291-21301
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Tidskriftsartikel (refereegranskat)abstract
- Vacuoles are essential organelles in plants, playing crucial roles, such as cellular material degradation, ion and metabolite storage, and turgor maintenance. Vacuoles receive material via the endocytic, secretory, and autophagic pathways. Membrane fusion is the last step during which prevacuolar compartments (PVCs) and autophagosomes fuse with the vacuole membrane (tonoplast) to deliver cargoes. Protein components of the canonical intracellular fusion machinery that are conserved across organisms, including Arabidopsis thaliana, include complexes, such as soluble N-ethylmaleimidesensitive factor attachment protein receptors (SNAREs), that catalyze membrane fusion, and homotypic fusion and vacuole protein sorting (HOPS), that serve as adaptors which tether cargo vesicles to target membranes for fusion under the regulation of RAB-GTPases. The mechanisms regulating the recruitment and assembly of tethering complexes are not well-understood, especially the role of RABs in this dynamic regulation. Here, we report the identification of the small synthetic molecule Endosidin17 (E517), which interferes with synthetic, endocytic, and autophagic traffic by impairing the fusion of late endosome compartments with the tonoplast. Multiple independent target identification techniques revealed that E517 targets the VPS35 subunit of the retromer tethering complex, preventing its normal interaction with the Arabidopsis RAB7 homolog RABG3f. E517 interference with VPS35-RABG3f interaction prevents the retromer complex to endosome anchoring, resulting in retention of RABG3f. Using multiple approaches, we show that VPS35-RABG3f-GTP interaction is necessary to trigger downstream events like HOPS complex assembly and fusion of late compartments with the tonoplast. Overall, our results support a role for the interaction of RABG3f-VPS35 as a checkpoint in the control of traffic toward the vacuole.
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| 9. |
- Shen, Weixing, et al.
(författare)
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M4 Muscarinic Receptor Signaling Ameliorates Striatal Plasticity Deficits in Models of L-DOPA-Induced Dyskinesia.
- 2015
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Ingår i: Neuron. - : Elsevier BV. - 0896-6273. ; 88:4, s. 762-773
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Tidskriftsartikel (refereegranskat)abstract
- A balanced interaction between dopaminergic and cholinergic signaling in the striatum is critical to goal-directed behavior. But how this interaction modulates corticostriatal synaptic plasticity underlying learned actions remains unclear-particularly in direct-pathway spiny projection neurons (dSPNs). Our studies show that in dSPNs, endogenous cholinergic signaling through M4 muscarinic receptors (M4Rs) promoted long-term depression of corticostriatal glutamatergic synapses, by suppressing regulator of G protein signaling type 4 (RGS4) activity, and blocked D1 dopamine receptor dependent long-term potentiation (LTP). Furthermore, in a mouse model of L-3,4-dihydroxyphenylalanine (L-DOPA)-induced dyskinesia (LID) in Parkinson's disease (PD), boosting M4R signaling with positive allosteric modulator (PAM) blocked aberrant LTP in dSPNs, enabled LTP reversal, and attenuated dyskinetic behaviors. An M4R PAM also was effective in a primate LID model. Taken together, these studies identify an important signaling pathway controlling striatal synaptic plasticity and point to a novel pharmacological strategy for alleviating LID in PD patients.
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| 10. |
- Wang, Weixing, et al.
(författare)
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Bubble delineation on valley edge detection and region merge
- 2013
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Ingår i: Zhongguo Kuangye Daxue Xuebao/Journal of China University of Mining and Technology. - 1000-1964. ; 42:6, s. 1060-1065
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Tidskriftsartikel (refereegranskat)abstract
- This paper propose an image segmentation algorithm for mineral froth images, based on multi-scale analysis, valley edge detection, edge thinning, end point detection and linking, and region merge on shape. The algorithm was tested for a number of different froth images and was compared to the watershed, similarity based and Canny operator based algorithms. The testing results show that the similarity or edge based algorithms cannot segment froth images well, and the watershed algorithm often causes over-segmentation, especially for the images of relative large bubbles. The accuracy and processing speed of the studied algorithm are better than that of the watershed algorithm. The test results show that the algorithm performs satisfactorily.
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| 11. |
- Wang, Weixing, et al.
(författare)
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Crack and Fracture central line delineation on Steger and Hydrodynamics with improved Fractional differential
- 2020
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Ingår i: International Journal of Wavelets, Multiresolution and Information Processing. - : World Scientific. - 0219-6913 .- 1793-690X. ; 18:5
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Tidskriftsartikel (refereegranskat)abstract
- The complex rock fracture and road pavement cracks are more difficult to extract than the other linear objects in an image. In rock engineering, the rock fracture is an important factor that might cause tunnel and bridge collapse, or rock slope or dam damage. In road construction, the crack is one of the main pavement diseases. To avoid the difficultly of extracting fractures/cracks in an image, a new algorithm for tracking the central lines of fractures or cracks is studied to alleviate the problem for image segmentation. It includes four aspects: (1) a new fractional differential template is established to enhance the blurring and weak fractures/cracks in an image, compared with the traditional fractional differential template Tiansi, the new template has no zero coefficient and can enhance the micro-fractures/cracks; (2) in order to decrease the difficulty level of fracture/crack extraction, an algorithm for extracting the feature points of the fracture/crack central line is proposed based on the idea of Steger algorithm; (3) after linking short gaps based on distance, the long gap linking is made according to the principle of hydrodynamics, it first makes judgment if the two neighboring feature points are in one crack or not, in which, the feature points are regarded as two spring resources, then in light on the idea of water gushed out of the spring, when the two water flows meet together, the two points are recognized in one crack, otherwise they are not in one crack and cannot be connected together and (4) if the two neighboring feature points are in one crack, then the distance and the curvature between the two line segments are calculated, if they are less than the given thresholds, the linking path is searched and the gap is filled. Compared with the four traditional algorithms by testing hundred images, the new algorithm can accurately and quickly extract the central lines in complex rock fracture and rough road pavement cracks, which can increase the accuracy of crack/fracture image segmentation compared to the other algorithms.
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| 12. |
- Wang, Weixing, et al.
(författare)
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Crack detection in shadowed images on gray level deviations in a moving window and distance deviations between connected components
- 2021
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Ingår i: Construction and Building Materials. - : Elsevier BV. - 0950-0618 .- 1879-0526. ; 271
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Tidskriftsartikel (refereegranskat)abstract
- In the detection of pavement cracks in an image, shadows often affect the detection result seriously. To extract the cracks accurately and effectively from shadowed pavement images, a method including a number of algorithms and functions is studied based on the gray level standard deviation in a local window and the distance standard deviation in a connected region, which is different to the traditional algorithms/methods based on image processing. The proposed framework begins with selecting a moderate sized window automatically according to the resolution of the treated image. Then the pavement image can be segmented by a threshold determined by the mean value of gray level standard deviation in the window. Subsequently, the crack segments can be extracted using the distance standard deviation of the connected components. Finally, the segments can be connected according to the gap lengths and segment direction information. We tested about 300 pavement crack images in which the shadows are caused by trees, buildings, grass, telegraph poles, street lamps and so on, and we compared the new method to more than ten different traditional algorithms/methods such as different edge detectors, Thresholding, Minimum Spanning Tree, Clustering analysis and FCM algorithms. The testing results show that the new method for the pavement crack detection in different shadowed images is satisfactory, the detection accuracy can be up to 96%, and the algorithm comparison proves that the proposed algorithm is much better than that by the widely used traditional algorithms.
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| 13. |
- Wang, Weixing, et al.
(författare)
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Pavement crack detection on geodesic shadow removal with local oriented filter on LOF and improved Level set
- 2020
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Ingår i: Construction and Building Materials. - : Elsevier Ltd. - 0950-0618 .- 1879-0526. ; 237
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Tidskriftsartikel (refereegranskat)abstract
- In order to detect cracks on pavement accurately and quickly in an image, a new algorithm is proposed to combines geodesic shadow removal (GSR), local outlier factor (LOF) and improved Level set algorithms. It includes four steps: (1) GRS algorithm and Gaussian filter are used to remove shadow and noise; (2) the local oriented filter algorithm based on LOF is applied to enhance the crack information and suppress image noise; (3) the algorithm based on improved level set combined with crack indication function is utilized to extract the crack edges, and it has the self adaptability and the higher segmentation accuracy than an ordinary level set algorithm; and (4) in the binary image, a number of post processing functions are made for noise removal, and short and long gap fillings. In algorithm comparison, we tested different kinds of pavement crack images, and for the images, we compared several traditional image segmentation algorithms, such as Canny operator, FCM, Adaptive threshold, Minimum Spanning Tree (MST), Clustering analysis and CV model etc. The experimental results show that the proposed algorithm can improve the image segmentation accuracy and is effective in extracting pavement cracks.
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| 14. |
- Wang, Weixing, et al.
(författare)
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Pavement crack image acquisition methods and crack extraction algorithms : A review
- 2019
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Ingår i: Journal of Traffic and Transportation Engineering (English Edition). - : KEAI PUBLISHING LTD. - 2095-7564. ; 6:6, s. 535-556
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Forskningsöversikt (refereegranskat)abstract
- The extraction of pavement cracks is always a hard task in image processing. In airport and road construction, cracking is the main factor for pavement damage, which can decrease the quality of pavement and affect transportation seriously. Cracks also exist in other artificial or natural objects, such as buildings, bridges, tunnels, etc. Among all the object images, pavement crack images are the most complex, so the image processing and analysis for them is harder than other crack images. From the early image acquisition based on photography technology to the current 3D laser scanning technology, the pavement crack image acquisition technology is becoming more convenient and efficient, but there are still challenges in the automatic processing and recognition of cracks in images. From the early global thresholding to deep learning algorithms, the research for crack extraction has been developed for about 40 years. There are many methods and algorithms that are satisfactory in pavement crack applications, but there is no standard until today. Therefore, in order to know the developing history and the advanced research, we have collected a number of literature in this research topic for summarizing the research artwork status, and giving a review of the pavement crack image acquisition methods and 2D crack extraction algorithms. Also, for image acquisition methods and pavement crack image segmentation, more detailed comparison and discussions are made.
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| 15. |
- Zhao, Guangyu, et al.
(författare)
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Mercury as a Geophysical Tracer Gas - Emissions from the Emperor Qin Tomb in Xi´an Studied by Laser Radar
- 2020
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Ingår i: Scientific Reports. - : Springer Science and Business Media LLC. - 2045-2322. ; 10:1
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Tidskriftsartikel (refereegranskat)abstract
- Mercury is, because of its high vapor pressure and its prevalence in the atmosphere as atoms, an interesting geophysical tracer gas, also with potential archaeological applications. According to historical records dating back 2200 years, the mausoleum chamber of the “Terracotta Army Emperor” Qin in Xi´an, China, contains large amounts of liquid mercury, considered as an elixir of life at the time. We here report on measurements of the atmospheric contents of atomic mercury above the tomb mound performed with a mobile differential absorption lidar (light detection and ranging) system. Our measurements, which were performed from three different locations around the mound, indeed indicate elevated atmospheric mercury levels, with localizations, which correlate with previous in situ soil sampling results. Concentrations up to 27 ng/m3 were observed, significantly higher than the typical general pollutant level in the area which was found to be around 5–10 ng/m3. An out-flux of about 5×10−8 kg/s was estimated. Highly volatile mercury may be escaping through cracks, which developed in the structure over time, and our investigation supports ancient chronicle records on the tomb, which is believed never to have been opened/looted. Our findings also have bearings on the proposed use of mercury as a tracer gas for valuable ores and geothermal resource exploration, and also bring problematics around reliable nuclear waste long-term underground storage to mind.
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