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Endothelial cell dysfunction caused by inflammation and even vascular leakage are important manifestations of blood stasis syndrome (BSS). Reversible regulation of vascular integrity to cure BSS has attracted considerable interest. Herein, a novel acidic polysaccharide (TPP-4) was purified and characterized from Typhae Pollen, a typical traditional Chinese medicine for treating BSS, especially for bleeding caused by blood stasis. A series of structural characterization methods, including spectroscopic methods (FT-IR and UV), chromatographic methods (HPGPC, HPAEC-PDA and GC-MS) and NMR, have been used to reveal the fine structure of TPP-4. TPP-4 was a homogeneous heteropolysaccharide comprised with RG-I backbone. TPP-4 showed fantastic activities in vascular integrity regulation both in vitro (HUVECs) and in vivo (zebrafish). Transcriptomics revealed that SOX7 and lipid metabolism were the potential targets. Lipidomics showed that TPP-4 could regulate lipid metabolism disorders caused by vascular inflammation, particularly affecting LPE levels. The above regulatory effects were furtherly demonstrated to be related with VEGFA/PI3K/mTOR signaling pathway through various molecular biological experiments., Competing Interests: Declaration of competing interest The authors report no conflicts of interest., (Copyright © 2024. Published by Elsevier B.V.)

Object counting, defined as the task of accurately predicting the number of objects in static images or videos, has recently attracted considerable interest. However, the unavoidable presence of background noise prevents counting performance from advancing further. To address this issue, we created a group and graph attention network (GGANet) for dense object counting. GGANet is an encoder-decoder architecture incorporating a group channel attention (GCA) module and a learnable graph attention (LGA) module. The GCA module groups the feature map into several subfeatures, each of which is assigned an attention factor through the identical channel attention. The LGA module views the feature map as a graph structure in which the different channels represent diverse feature vertices, and the responses between channels represent edges. The GCA and LGA modules jointly avoid the interference of irrelevant pixels and suppress the background noise. Experiments are conducted on four crowd-counting datasets, two vehicle-counting datasets, one remote-sensing counting dataset, and one few-shot object-counting dataset. Comparative results prove that the proposed GGANet achieves superior counting performance.

The soil contains abundant and diverse microorganisms, which interrelate closely with the aboveground vegetation and impact the structure and function of the forest ecosystem. To explore the effect of vegetation diversity on soil microbial functional diversity in taiga forests, we selected significantly different important values of Larix gmelinii as experimental grouping treatments based on plant investigation from fixed plots in Da Xing'anling Mountains. Following that, we collected soil samples and applied the Biolog-ECO microplate method to investigate differences in carbon source utilization, features of functional diversity in soil microorganisms, and factors influencing them in taiga forests. The AWCD decreased as the important value of Larix gmelinii grew, and soil microorganisms preferred carboxylic acids, amino acids, and carbohydrates over polymers, phenolic acids, and amines. The Shannon and McIntosh indexes decreased significantly with the increase of the important value of Larix gmelinii ( p < 0.05) and were positively correlated with soil SOC, MBC, C/N, and pH, but negatively with TN, AP, and AN. Redundancy analysis revealed significant effects on soil microbial functional diversity from soil C/N, SOC, AP, MBC, TN, pH, AN, and WC. To sum up, heterogeneous habitats of taiga forests with different important values altered soil microbial functional diversity.

Background: The shortage of water resources and the increase of greenhouse gas emissions from soil seriously restrict the sustainable development of agriculture. Under the premise of ensuring a stable yield of winter wheat through a reasonable irrigation scenario, identifying a suitable straw returning method will have a positive effect on agricultural carbon sequestration and emission reduction in North China Plain., Results: Straw burying (SR) and straw mulching (SM) were adopted based on traditional tillage under in the winter wheat growing season of 2020-2021 and 2021-2022. Three irrigation scenarios were used for each straw returning method: no irrigation (I0), irrigation 60 mm at jointing stage (I1), and irrigation of 60 mm each at the jointing and heading stages (I2). Soil moisture, soil respiration rate, cumulative soil CO 2 emissions, yield, water use efficiency (WUE) and soil CO 2 emission efficiency (CEE) were mainly studied. The results showed that, compared to SM, SR improved the utilization of soil water and enhanced soil carbon sequestration. SR reduced soil respiration rate and cumulative soil CO 2 emissions in two winter wheat growing seasons, and increased yield by increasing spike numbers. In addition, with an increase in the amount of irrigation, soil CO 2 emissions and yield increased. Under SR-I1 treatment, WUE and CEE were the highest. SR-I1 increases crop yields at the same time as reducing soil CO 2 emissions., Conclusion: The combination of SR and irrigation 60 mm at jointing stage is a suitable straw returning irrigation scenario, which can improve water use and reduce soil CO 2 emission in NCP. © 2023 Society of Chemical Industry., (© 2023 Society of Chemical Industry.)

Tumor cell extravasation across endothelial barrier has been recognized as a pivotal event in orchestrating metastasis formation. This event is initiated by the interactions of extravasating tumor cells with endothelial cells (ECs). Therefore, targeting the crosstalk between tumor cells and ECs might be a promising therapeutic strategy to prevent metastasis. In this study, we demonstrated that Rh1, one of the main ingredients of ginseng, hindered the invasion of breast cancer (BC) cells as well as diminished the permeability of ECs both in vitro and in vivo, which was responsible for the attenuated tumor cell extravasation across endothelium. Noteworthily, we showed that ECs were capable of inducing the epithelial-mesenchymal transition (EMT) and invadopodia of BC cells that are essential for tumor cell migration and invasion through limiting the nuclear translocation of hematopoietically expressed homeobox (HHEX). The decreased nuclear HHEX paved the way for initiating the CCL20/CCR6 signaling axis, which in turn contributed to damaged endothelial junctions, uncovering a new crosstalk mode between tumor cells and ECs. Intriguingly, Rh1 inhibited the kinase activity of casein kinase II subunit alpha (CK2α) and further promoted the nuclear translocation of HHEX in the BC cells, which resulted in the disrupted crosstalk between chemokine (C-C motif) ligand 20 (CCL20) in the BC cells and chemokine (C-C motif) receptor 6 (CCR6) in the ECs. The prohibited CCL20-CCR6 axis by Rh1 enhanced vascular integrity and diminished tumor cell motility. Taken together, our data suggest that Rh1 serves as an effective natural CK2α inhibitor that can be further optimized to be a therapeutic agent for reducing tumor cell extravasation., Competing Interests: Declaration of Competing Interest All authors declare that they have no known competing financial interest or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Human behavior recognition technology is widely adopted in intelligent surveillance, human-machine interaction, video retrieval, and ambient intelligence applications. To achieve efficient and accurate human behavior recognition, a unique approach based on the hierarchical patches descriptor (HPD) and approximate locality-constrained linear coding (ALLC) algorithm is proposed. The HPD is a detailed local feature description, and ALLC is a fast coding method, which makes it more computationally efficient than some competitive feature-coding methods. Firstly, energy image species were calculated to describe human behavior in a global manner. Secondly, an HPD was constructed to describe human behaviors in detail through the spatial pyramid matching method. Finally, ALLC was employed to encode the patches of each level, and a feature coding with good structural characteristics and local sparsity smoothness was obtained for recognition. The recognition experimental results on both Weizmann and DHA datasets demonstrated that the accuracy of five energy image species combined with HPD and ALLC was relatively high, scoring 100% in motion history image (MHI), 98.77% in motion energy image (MEI), 93.28% in average motion energy image (AMEI), 94.68% in enhanced motion energy image (EMEI), and 95.62% in motion entropy image (MEnI).

Ethnopharmacological Relevance: Shixiao San (SXS) is a traditional Chinese formula that has been widely used in clinical practice to treat blood stasis syndromes, such as hyperlipidemia, atherosclerotic, thrombosis and coronary heart disease. However, the effectiveness and mechanism of SXS have not been studied in detail yet., Aim of the Study: Current study aimed to identify the compounds in SXS, evaluate the formula efficacies using network pharmacology, molecular docking, and verify the pharmacological effects by in vivo and in vitro experiments., Materials and Methods: The compounds in SXS were analyzed using UPLC-QTOF-MS. Potential target genes for identified compounds were obtained from three databases. DAVID database was used to perform GO and KEGG pathway enrichment analyses. PPI network was constructed to screen core targets. Molecular docking was used to examine interactions between active compounds and potential targets. The mechanism was also verified by model of acute blood stasis rats and human umbilical vein cells., Results: In total, 45 compounds were identified from SXS. Among the detected phytochemicals, quercetin, isorhamnetin, kaempferol, D-catechin, naringenin and amentoflavone were identified as the active constituents. SXS is primarily involved in the modulation of hypoxic state, vascular regulation, and inflammation response, according to GO and KGG pathway enrichment analysis. A network of protein-protein interactions (PPIs) was constructed and five core targets were identified as VEGFA, AKT1, EGFR, PTGS2, and MMP9. Molecular docking simulation revealed good binding affinity of the five putative targets with the corresponding compounds. SXS reduced HIF-1α and COX-2 levels and increased the eNOS expression levels in hypoxic HUVECs. SXS can reduce the whole blood viscosity in adrenaline induced acute blood stasis rats and relieve blood stasis., Conclusions: SXS removes blood stasis might through VEGFA/AKT/eNOS/COX-2 pathway and flavonoids are the main active components in the formula., Competing Interests: Declaration of competing interest The authors declare that they have no competing interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 Elsevier B.V. All rights reserved.)

In this research, an image defogging algorithm is proposed for the electricity transmission line monitoring system in the smart city. The electricity transmission line image is typically situated in the top part of the image which is rather thin in size. Because the electricity transmission line is situated outside, there is frequently a sizable amount of sky in the backdrop. Firstly, an optimized quadtree segmentation method for calculating global atmospheric light is proposed, which gives higher weight to the upper part of the image with the sky region. This prevents interference from bright objects on the ground and guarantees that the global atmospheric light is computed in the top section of the image with the sky region. Secondly, a method of transmission calculation based on dark pixels is introduced. Finally, a detail sharpening post-processing based on visibility level and air light level is introduced to enhance the detail level of electricity transmission lines in the defogging image. Experimental results indicate that the algorithm performs well in enhancing the image details, preventing image distortion and avoiding image oversaturation., Competing Interests: MZ, ZS, CY, ZJ, and WC were employed by the State Grid Hubei Power Supply Limited Company Ezhou Power Supply Company. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Zhang, Song, Yang, Gao, Hu, Yuan, Jiang and Cheng.)

Four fractions of polysaccharides (TPP-1, TPP-2, TPP-3, and TPP-4) were isolated and purified from the pollen of Typha angustifolia L., and the structure of TPP-3 was furtherly determined by HPGPC (High Performance Gel Permeation Chromatography), monosaccharide composition analysis, methylation analysis and NMR (Nuclear Magnetic Resonance). TPP-3 was found to be a homogeneous heteropolysaccharide with an average molecular weight of 5.5 × 10 4  Da and composed of eight types of monosaccharides. The pro-angiogenic activities of TPP-3 were verified on HUVECs and VEGFR tyrosine kinase inhibitor II (VRI)-induced vascular defect zebrafish model. Furthermore, the underlying mechanism investigation showed that its pro-angiogenic activities were closely related with the activation of VEGF/PI3K/Akt signaling pathway., Competing Interests: Declaration of competing interest The authors report no conflicts of interest., (Copyright © 2022 Elsevier B.V. All rights reserved.)

Counting the number of people in crowded scenarios is a crucial task in video surveillance and urban security system. Widely deployed surveillance cameras provide big data for training, a compelling deep learning-based counting network. However, large-scale variations in dense crowds are still not entirely solved. To address this problem, we propose a spatial-frequency attention network (SFANet) for crowd counting in this article. A bottleneck spatial attention module is built to emphasize features in various spatial locations and select a region containing individuals adaptively in the spatial domain. As a complementary, in the frequency domain, a multispectral channel attention module is adopted to obtain a more complete set of frequency components for representing each channel. The two attention modules are combined to focus on the discriminative region and suppress the misleading information by their mutual promotion. Experimental results on five benchmark crowd data sets demonstrate that the SFANet can achieve the state-of-the-art performance in terms of accuracy and robustness.

Background: Carbonized traditional Chinese medicine (TCM) is a kind of distinctive traditional medicine, which has been widely used to cure various bleeding syndromes in clinic for over 2000 years. However, there are no effective quality control methods developed on carbonized TCM so far., Purpose: This study aimed at developing a processing-associated quality marker (Q-marker) discovery strategy, which would enable to promote the quality control study of carbonized TCM., Methods: Carbonized Typhae Pollen (CTP), a typical carbonized TCM with fantastic efficacy of stanching bleeding and removing blood stasis, was used as an example. First, a ultraperformance liquid chromatography with quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS) method was established to characterize four types of CTP in different processing degrees. Second, chemometric method was applied to screen candidate Q-markers. Third, peak area changes and A ratio changes of each candidate markers in 57 batches samples were described (Traceability and Transitivity). Fourth, systems pharmacology and two high-throughput zebrafish models: cerebral hemorrhage model and thrombus model were used to furtherly screen Q-markers (Effectiveness). Finally, a ultraperformance liquid chromatographic coupled with triple quadrupole tandem mass spectrometry (UPLC-TQ-MS) method was established and applied to quantify Q-markers in additional 10 batches of CTP samples (Measurability)., Results: The chemical profiles of Typhae Pollen during the carbonized process were investigated. Then, 12 candidate compounds were screened in chemometric part. Six Q-markers (isorhamnetin-3-O-neohesperidoside, isorhamnetin-3-O-rutinoside, kaempferol-3-O-neohesperidoside, naringenin, quercetin and isorhamnetin) were subsequently screened out using three principles of Q-markers combined with content changes and two in vivo zebrafish models. Their average contents in additional 10 batches of CTP were 316.8 μg/g, 13.7 μg/g, 6.1 μg/g, 197.8 μg/g, 12.9 μg/g and 199.3 μg/g, respectively. Their content proportion was about 25: 1: 0.5: 15: 1: 15., Conclusion: A processing-associated Q-marker discovery strategy was developed for carbonized TCM. It might provide a novel insight to solve the problem of 'Chao Tan Cun Xing' in carbonized process., (Copyright © 2022 Elsevier GmbH. All rights reserved.)

Janus transition-metal dichalcogenides (TMDCs) are emerging as special 2D materials with different chalcogen atoms covalently bonded on each side of the unit cell, resulting in interesting properties. To date, several synthetic strategies have been developed to realize Janus TMDCs, which first involves stripping the top-layer S of MoS 2 with H atoms. However, there has been little discussion on the intermediate Janus MoSH. It is critical to find the appropriate plasma treatment time to avoid sample damage. A thorough understanding of the formation and properties of MoSH is highly desirable. In this work, a controlled H 2 -plasma treatment has been developed to gradually synthesize a Janus MoSH monolayer, which was confirmed by the TOF-SIMS analysis as well as the subsequent fabrication of MoSSe. The electronic properties of MoSH, including the high intrinsic carrier concentration (∼2 × 10 13 cm -2 ) and the Fermi level (∼ - 4.11 eV), have been systematically investigated by the combination of FET device study, KPFM, and DFT calculations. The results demonstrate a method for the creation of Janus MoSH and present the essential electronic parameters which have great significance for device applications. Furthermore, owing to the metallicity, 2D Janus MoSH might be a potential platform to observe the SPR behavior in the mid-infrared region.

Ethnopharmacological Relevance: Carbonized Typhae Pollen (CTP), a processed product of Typhae Pollen after stir-fried, is a well-known Traditional Chinese Medicine (TCM) with functions of removing blood stasis and hemostasis., Aim of Review: The aim of this study is to summarize and discuss up-to-date information on quality control of CTP, and effects of carbonized process on phytochemistry and biological activities. We hope this review could provide feasible insights for further studies of CTP on its material basis and pharmacological effect mechanism., Material and Methods: The information of TP before and after carbonized process was collected from online databases (PubMed, CNKI, Google Scholar, Baidu Xueshu, Web of Science, SpringerLink, Wiley Online Library, SciFinder and Chemical book). Meanwhile local books, published and unpublished Ph.D., MSc. dissertations were also taken into consideration., Results: A total of 27 Ph.D., MSc. dissertations and 208 articles were collected from online database, from which 122 compounds of TP were collected, but only two researches focused on the chemical compositions of CTP. Introductions of new technologies and intelligent processing equipment developments are considered as two main solutions to the quality control of CTP. CTP is a well-known ethnic medicine in China with a fantastic efficacy in curing bleeding caused by blood stasis. Flavonoids were reported as the main active compounds for removing blood stasis while the enhanced hemostatic activity were consistent with flavonoid aglycones. Modern pharmacological researches showed that CTP has wound healing activity, effects on blood vessels, antithrombotic activity, hemostatic activity, antioxidant activity and immunomodulatory activity., Conclusions: Although CTP has been widely used in clinic, there are some problems blocking its further development. Unknown mechanism and uncertain active compounds might be the main reasons for few rules on controlling the quality of CTP. It is necessary to investigate the mechanisms and the relationship between carbonized process and the changes in constituents as well as pharmacological effects. This is essential to promote the safe clinical use of CTP., (Copyright © 2021 Elsevier B.V. All rights reserved.)

Ethnopharmacological Relevance: Typhae Pollen (TP) is a well-known Traditional Chinese Medicine (TCM) to remove blood stasis. Carbonized Typhae Pollen (CTP), a processed product of TP after being stir-fried, has been widely applied to clinical practice with its capability of hemostasis. However, the underlying mechanism of TP and CTP are still not fully elucidated and discrimination against TP and CTP remains a challenge., Aim of Study: The aim of this study is to investigate whether TP could remove blood stasis by promoting angiogenesis and the process of carbonizing it could enhance hemostatic effect. Meanwhile, some chemical markers for quality control of CTP had better to be found., Material and Methods: The changes of constituents between TP and CTP were analyzed by UPLC-QTOF-MS/MS. We investigated pro-angiogenic and hemostatic effects of TP and CTP in two zebrafish models: VRI-induced ISV insufficiency model and Ator-induced cerebral hemorrhage model. Subsequently, quantitative real-time PCR (qRT-PCR) was applied to investigate the mechanism of pharmacological effects. Finally, chemometric method was applied to find chemical markers., Results: A total of 19 compounds were identified in qualitative analysis. The loss rate of each compound was calculated and compared. Two compounds (huaicarbon A/B) could only be detected in CTP and the content of flavonoid glycosides in CTP was significantly decreased compared with TP. The average content of the three identified flavonoid aglycones (quercetin, isorhamnetin and kaempferol) was increased about 30 percent in CTP. TP promoted pro-angiogenesis by up-regulating the expression of VEGFA, flt1 and kdr. After heating process, the pro-angiogenic activity was reduced and hemostatic activity was enhanced in CTP. Then qRT-PCR analysis found that CTP could significantly up-regulate the expression of VEGFA and vWF. In the discovery of markers, 6 chemical markers for discrimination of TP and CTP were obtained by chemometric method., Conclusion: Our research indicated that the pro-angiogenic activity of TP was involved in VEGF signaling pathway. After processing, hemostatic activity of CTP has been enhanced by up-regulating the expression of VEGFA and vWF. A chemical marker database was established to provide a scientific evidence for quality control, mechanism and the clinical application of TP and CTP., (Copyright © 2020. Published by Elsevier B.V.)

A global geological phenomenon caused by natural or human activities is described as land subsidence. Groundwater extraction plays a significant part in causing land subsidence. Due to economic development, urban expansion, and rapid population expansion, the unscientific exploitation of groundwater in Beijing has been accelerated, which makes it the region with the fastest land subsidence rate in China. To study the spatial heterogeneity of land subsidence caused by groundwater aquifers level changes, the monitoring results of land subsidence in 2003-2010 years were analyzed by using PS-InSAR, based on ENVISAT ASAR in Beijing plain area. The maximum value of accumulated land subsidence in the study area is 707 mm, and in this study area multiple subsidence center areas have been formed. A GWR model based on a regular grid has been established by exploring the effects of unconfined aquifer (UA), first confined aquifer (FCA), second confined aquifer (SCA), third confined aquifer (TCA) on land subsidence and their spatial non-stationarity. The change of subsidence in all subsidence areas is positively related to the change of SCA water level. Except the fact that the main control factors of Liyuan and Songzhuang are the change of UA layer, the change of SCA is the main control factor of land subsidence in most subsidence areas. Though the contribution rate of SCA to land subsidence is the highest, the contribution rate of TCA has been increasing. It is predicted that the impact on land subsidence will increase year by year. The results of this will not only help to understand the spatial impact patterns of aquifers on land subsidence zones, but also to formulate optimal groundwater regulation and recharge policies. There is a scarcity of the consideration of the compressible layer in the study and it will become more comprehensive if further datasets are obtained., Competing Interests: Declaration of competing interest The authors declared that they have no conflicts of interest to this work. We declare that we do not have any commercial or associative interest that represents a conflict of interest in connection with the work submitted., (Copyright © 2020. Published by Elsevier B.V.)

High-speed railways have strict standards of infrastructure deformation and post-construction settlement. The interferometric synthetic aperture radar (InSAR) has the ability to detect ground deformation with a high accuracy and wide coverage and is becoming a useful tool for monitoring railway health. In this study, we analyzed the Beijing-Tianjin Intercity Railway (BTIR) track using InSAR time-series analysis with different data sets. First, by using RADARSAT-2 images, we examined the areas along the BTIR with significant subsidence. Then, we characterized these areas by means of X-band TerraSAR-X data. We adopted the expectation (Ex) and entropy (En) method, combined with GIS spatial analysis, to analyze the ground settlement differences on both sides of the railway. The results show that the area with the most severe differential settlement occurs between 12 and 20 km along the railway and within 120 to 20 m on both sides of the Chaoyang-Tongzhou section (CTS). Thereafter, we analyzed the reasons for the large difference in this area by considering different factors, e.g., regional land subsidence, groundwater level changes, and the dynamic load. In addition, we studied the impact of regional subsidence on the safe operation of the BTIR. The results show that the maximum different settlement along the BTIR is within the safe range, according to the high-speed railway design standard between 2010 and 2015. This study aims to provide technical support for assessing the impact of subsidence on the safety of railway operations.

Multi-pixel photon counting detectors can produce images in low-light environments based on passive photon counting technology. However, the resulting images suffer from problems such as low contrast, low brightness, and some unknown noise distribution. To achieve a better visual effect, this paper describes a denoising and enhancement method based on a block-matching 3D filter and a non-subsampled contourlet transform (NSCT). First, the NSCT was applied to the original image and histogram-equalized image to obtain the sub-band low- and high-frequency coefficients. Regional energy and scale correlation rules were used to determine the respective coefficients. Adaptive single-scale retinex enhancement was applied to the low-frequency components to improve the image quality. The high-frequency sub-bands whose line features were best preserved were selected and processed using a symbol function and the Bayes-shrink threshold. After applying the inverse transform, the fused photon counting image was subjected to an improved block-matching 3D filter, significantly reducing the operation time. The final result from the proposed method was superior to those of comparative methods in terms of several objective evaluation indices and exhibited good visual effects and details from the objective impression.

Rapid field screening is enormously important in forensic analysis of explosives. In this article, we used a methodology based on a strong red-fluorescent europium-organic framework (Eu-MOF) material for sensitive and selective detection of picric acid, TNT, and tetryl using the fluorescence quenching effect. Results indicate that Eu-MOF can be used for the visual detection of these three explosives with low detection limits (20-140 μg/mL) and high quenching efficiency (Ksv > 10 4  M -1 ). Furthermore, this material can be recycled just by washing it with ethanol. The fluorescence quenching mechanism is also discussed. Importantly, we prepared a portable test strip that can be used for sensing TNT, and using this, we achieved a rapid field test for explosives. Consequently, Eu-MOF is a promising candidate material for use as an explosive optical sensor., (Copyright © 2019 Elsevier B.V. All rights reserved.)

Carbonized pollen grains of Typha (CPT) were widely used in clinical for antithrombosis, wound and bleeding in China. In order to ensure the role of drugs, it is very important to control the quality of drugs. However, there is a lack of monitoring methods in the process of charcoal preparation. To characterize the process of CPT, we used thermal analysis, scanning electron microscope (SEM), color measurement, Fourier transform infrared spectrometry (FTIR) and HPLC. In this study, 7 min was the optimal processing time and the heating process condition should be controlled under 272.35 ± 7.23 °C. This comprehensive strategy to depict the whole carbonizing process would provide new ideas for researches on quality control of Traditional Chinese Medicine (TCM) and processing theory of charcoal medicine.

Automatic segmentation and three-dimensional reconstruction of the liver is important for liver disease diagnosis and surgical treatment. However, the shape of the imaged 2D liver in each CT image changes dramatically across the slices. In all slices, the imaged 2D liver is connected with other organs, and the connected organs also vary across the slices. In many slices, the intensities of the connected organs are the same with that of the liver. All these facts make automatic segmentation of the liver in the CT image an extremely difficult task. In this paper, we propose a heuristic approach to segment the liver automatically based on multiple thresholds. The thresholds are computed based on the slope difference distribution that has been proposed and verified in the previous research. Different organs in the CT image are segmented with the automatically computed thresholds, respectively. Then, different segmentation results are combined to delineate the boundary of the liver robustly. After the boundaries of the 2D liver in all the slices are identified, they are combined to form the 3D shape of the liver with a global energy minimization function. Experimental results verified the effectiveness of all the proposed image processing algorithms in automatic and robust segmentation of the liver in CT images.

Understanding the three-dimensional (3D) stochastic structure of a porous medium is helpful for studying its physical properties. A 3D stochastic structure can be reconstructed from a two-dimensional (2D) training image (TI) using mathematical modeling. In order to predict what specific morphology belonging to a TI can be reconstructed at the 3D orthogonal slices by the method of 3D reconstruction, this paper begins by introducing the concept of orthogonal chords. After analyzing the relationship among TI morphology, orthogonal chords, and the 3D morphology of orthogonal slices, a theory for evaluating the morphological completeness of a TI is proposed for the cases of three orthogonal slices and of two orthogonal slices. The proposed theory is evaluated using four TIs of porous media that represent typical but distinct morphological types. The significance of this theoretical evaluation lies in two aspects: It allows special morphologies, for which the attributes of a TI can be reconstructed at a special orthogonal slice of a 3D structure, to be located and quantified, and it can guide the selection of an appropriate reconstruction method for a special TI.

Three-dimensional (3D) structures are useful for studying the spatial structures and physical properties of porous media. A 3D structure can be reconstructed from a single two-dimensional (2D) training image (TI) by using mathematical modeling methods. Among many reconstruction algorithms, an optimal-based algorithm was developed and has strong stability. However, this type of algorithm generally uses an autocorrelation function (which is unable to accurately describe the morphological features of porous media) as its objective function. This has negatively affected further research on porous media. To accurately reconstruct 3D porous media, a pattern density function is proposed in this paper, which is based on a random variable employed to characterize image patterns. In addition, the paper proposes an original optimal-based algorithm called the pattern density function simulation; this algorithm uses a pattern density function as its objective function, and adopts a multiple-grid system. Meanwhile, to address the key point of algorithm reconstruction speed, we propose the use of neighborhood statistics, the adjacent grid and reversed phase method, and a simplified temperature-controlled mechanism. The pattern density function is a high-order statistical function; thus, when all grids in the reconstruction results converge in the objective functions, the morphological features and statistical properties of the reconstruction results will be consistent with those of the TI. The experiments include 2D reconstruction using one artificial structure, and 3D reconstruction using battery materials and cores. Hierarchical simulated annealing and single normal equation simulation are employed as the comparison algorithms. The autocorrelation function, linear path function, and pore network model are used as the quantitative measures. Comprehensive tests show that 3D porous media can be reconstructed accurately from a single 2D training image by using the method proposed in this paper.

A random three-dimensional (3D) porous medium can be reconstructed from a two-dimensional (2D) image by reconstructing an image from the original 2D image, and then repeatedly using the result to reconstruct the next 2D image. The reconstructed images are then stacked together to generate the entire reconstructed 3D porous medium. To perform this successfully, a very important issue must be addressed, i.e., controlling the continuity and variability among adjacent layers. Continuity and variability, which are consistent with the statistics characteristic of the training image (TI), ensure that the reconstructed result matches the TI. By selecting the number and location of the sampling points in the sampling process, the continuity and variability can be controlled directly, and thus the characteristics of the reconstructed image can be controlled indirectly. In this paper, we propose and develop an original sampling method called three-step sampling. In our sampling method, sampling points are extracted successively from the center of 5×5 and 3×3 sampling templates and the edge area based on a two-point correlation function. The continuity and variability of adjacent layers were considered during the three steps of the sampling process. Our method was tested on a Berea sandstone sample, and the reconstructed result was compared with the original sample, using tests involving porosity distribution, the lineal path function, the autocorrelation function, the pore and throat size distributions, and two-phase flow relative permeabilities. The comparison indicates that many statistical characteristics of the reconstructed result match with the TI and the reference 3D medium perfectly.