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［Objective］Disconnector is a key equipment in rail transit traction power supply system. With the development of intelligent switch equipment technology and the increasing demand for intelligent operation and maintenance management of power supply catenary, it is necessary to conduct research and analysis on the overall intelligence and visualization of catenary switch equipment. ［Method］The application status of visual grounding technology and the necessity of two-isolation grounding integration are introduced; the principle and functional characteristics of the visual three-position isolation grounding integration device are introduced, and its advantage analysis is carried out. Taking the trial run of Nanning Rail Transit Line 3 as an example, the functions and performance of the visual three-position isolation grounding integration device are verified. ［Result & Conclusion］Through integrating disconnector and visual grounding device, the visual three-position isolation and grounding integration device has the functional features of quick-installed self-locking three-position switch, programmed control, comprehensive visualization, network topology safety interlocking, and fault self-diagnosis. It can realize the overall visualization and intelligence of the catenary power cut/transmission and grounding operation. Compared with the application mode of only adding a visual grounding device, the proposed three-position mode boasts more complete, safe, efficient, intelligent, and economic advantages, and is a practical intelligent solution for the catenary switch device.

The inert surface of high-modulus carbon fiber leads to the weak interface between it and the resin matrix， which limits the performance of high-modulus carbon fiber composite in many application scenarios. Anodic oxidation is the only surface treatment technology that can be combined with carbon fiber production lines until now，but the commonly used alkaline electrolytes represented by ammonium bicarbonate exhibit limited effect on the oxidation of high-modulus carbon fiber. The acidic electrolyte system has stronger oxidation ability， lacks systematic researches on anodizing mechanism . In this paper， dilute sulfuric acid was used for the anodic oxidation for carbon fiber with a modulus of 371 GPa. The effects of key factors such as current density， electrolyte concentration on the polar structure of the surface of high-modulus carbon fiber were systematically studied， and then the effects of surface treatment on the interfacial shear strength of carbon fiber/epoxy resin composites were investigated. The correlation between surface treatment factors and interfacial properties of composites was established. The results show that after the treatment， the surface morphology and graphitized structure of the carbon fiber are maintained， and oxidation reactions occur in the amorphous carbon and aromatic ring structure regions of the carbon fiber. After the reaction， the graphitization degree of the fiber decreases apparently， the surface energy increases， and the content of surface oxygen-containing functional groups increases. When sulfuric acid concentration is 1.0%（mass fraction） and current density is 0.26 mA/cm2， the surface energy of carbon fiber is the highest （57.7 mN/m）， which is 62.08% higher than that of untreated carbon fiber. The interfacial shear strength between carbon fiber and epoxy resin reaches 80.9 MPa， which is 2.7 times higher than that of untreated one corresponding to 21.8 MPa.Furthermore， the single fiber tensile strength of the treated carbon fiber exhibits undamaged.

Intervertebral disc degeneration (IDD) is the cause of low back pain (LBP), and recent research has suggested that inflammatory cytokines play a significant role in this process. Maslinic acid (MA), a natural compound found in olive plants (Olea europaea), has anti-inflammatory properties, but its potential for treating IDD is unclear. The current study aims to investigate the effects of MA on TNFα-induced IDD in vitro and in other in vivo models. Our findings suggest that MA ameliorates the imbalance of the extracellular matrix (ECM) and mitigates senescence by upregulating aggrecan and collagen II levels as well as downregulating MMP and ADAMTS levels in nucleus pulposus cells (NPCs). It can also impede the progression of IDD in rats. We further find that MA significantly affects the PI3K/AKT and NF-κB pathways in TNFα-induced NPCs determined by RNA-seq and experimental verification, while the AKT agonist Sc-79 eliminates these signaling cascades. Furthermore, molecular docking simulation shows that MA directly binds to PI3K. Dysfunction of the PI3K/AKT pathway and ECM metabolism has also been confirmed in clinical specimens of degenerated nucleus pulposus. This study demonstrates that MA may hold promise as a therapeutic agent for alleviating ECM metabolism disorders and senescence to treat IDD.

IntroductionThe oral cavity and gut tract, being interconnected and rich in microbiota, may have a shared influence on gingivitis. However, the specific role of distinct gut microbiota taxa in gingivitis remains unexplored. Utilizing Mendelian Randomization (MR) as an ideal method for causal inference avoiding reverse causality and potential confounding factors, we conducted a comprehensive two-sample MR study to uncover the potential genetic causal impact of gut microbiota on gingivitis.MethodsInstrumental variables were chosen from single nucleotide polymorphisms (SNPs) strongly associated with 418 gut microbiota taxa, involving 14,306 individuals. Gingivitis, with 4,120 cases and 195,395 controls, served as the outcome. Causal effects were assessed using random-effect inverse variance-weighted, weighted median, and MR-Egger methods. For replication and meta-analysis, gingivitis data from IEU OpenGWAS were employed. Sensitivity analyses included Cochran’s Q tests, funnel plots, leave-one-out analyses, and MR-Egger intercept tests. This study aimed to assess the genetic correlation between the genetically predicted gut microbiota and gingivitis using linkage disequilibrium score regression (LDSC).ResultsThree gut microbiota taxa (class Actinobacteria id.419, family Defluviitaleaceae id.1924, genus Defluviitaleaceae UCG011 id.11287) are predicted to causally contribute to an increased risk of gingivitis (P< 0.05). Additionally, four gut microbiota taxa (class Actinobacteria id.419, genus Escherichia Shigella id.3504, genus Ruminococcaceae UCG002 id.11360) potentially exhibit inhibitory causal effects on the risk of gingivitis (P< 0.05). No significant evidence of heterogeneity or pleiotropy is detected. Our findings indicate a suggestive genetic correlation between class Actinobacteria id.419, class Bacteroidia id.912, family Defluviitaleaceae id.1924, genus Escherichia Shigella id.3504 and gingivitis.ConclusionOur study establishes the genetic causal effect of 418 gut microbiota taxa on gingivitis, offering insights for clinical interventions targeting gingivitis. Subsequent research endeavors are essential to corroborate the findings of our present study.

Objective To analyze the clinical efficacy and safety of the extended endoscopic endonasal approach (EEEA) in the resection of suprasellar invasive pituitary adenoma. Methods and Results A total of 68 patients with suprasellar invasive pituitary adenoma admitted to The Second Hospital of Hebei Medical University from June 2019 to June 2022 were treated with EEEA for tumor resection, of whom 73.53% (50/68) achieved gross total resection (GTR), 17.65% (12/68) achieved subtotal resection, and 8.82% (6/68) achieved partial resection. The GTR rate of giant adenoma was 37.40% (10/27). The average follow⁃up was (12 ± 6) months, 75.81% (47/62) improved visual acuity, 19.35% (12/62) had no change after surgery, 4.84% (3/62) deteriorated visual acuity. The improvement rate of visual field defect was 74.14% (43/58), no change was 15.52% (9/58), and symptom aggravation was 10.34% (6/58). The symptoms of diplopia disappeared completely in the patients with oculomotor nerve palsy at the last follow ⁃ up (3 cases). Postoperative complications included cerebrospinal fluid leakage [1.47% (1/68)], central diabetes insipidus [16.18% (1/68)], intraoperative hematoma [4.41% (3/68)], delayed nasal hemorrhage [4.41% (3/68)] and intracranial infection [7.35% (5/68)], with no death. Conclusions EEEA for large or giant pituitary adenomas invading the anterior skull base, suprasellar region and the third ventricle has a high GTR rate, less trauma and fewer complications, and is worthy of clinical promotion.

Abstract Chronic allograft dysfunction (CAD) is a major factor that hinders kidney transplant survival in the long run. Epithelial–mesenchymal transition (EMT) has been confirmed to significantly contribute to interstitial fibrosis/tubular atrophy (IF/TA), which is the main histopathological feature of CAD. Aberrant expression of the regulator of calcineurin 1 (RCAN1), recognized as an endogenous inhibitor of the calcineurin phosphatase, has been shown to be extensively involved in various kidney diseases. However, it remains unclear how RCAN1.4 regulates IF/TA formation in CAD patients. Herein, an in vivo mouse renal transplantation model and an in vitro model of human renal tubular epithelial cells (HK-2) treated with tumor necrosis factor-α (TNF-α) were employed. Our results proved that RCAN1.4 expression was decreased in vivo and in vitro, in addition to the up-regulation of Yin Yang 1 (YY1), a transcription factor that has been reported to convey multiple functions in chronic kidney disease (CKD). Knocking in of RCAN1.4 efficiently attenuated chronic renal allograft interstitial fibrosis in vivo and inhibited TNF-α-induced EMT in vitro through regulating anti-oxidative stress and the calcineurin/nuclear factor of activated T cells cytoplasmic 1 (NFATc1) signaling pathway. In addition, suppression of YY1 mediated by shRNA or siRNA alleviated TNF-α-induced EMT through abolishing reactive species partly in an RCAN1.4-dependent manner. Notably, we confirmed that YY1 negatively regulated RCAN1.4 transcription by directly interacting with the RCAN1.4 promoter. In addition, histone deacetylase 2 (HDAC2) interacted with YY1 to form a multi-molecular complex, which was involved in TNF-α-induced RCAN1.4 transcriptional repression. Therefore, RCAN1.4 is suggested to be modulated by the YY1/HDAC2 transcription repressor complex in an epigenetic manner, which is a mediated nephroprotective effect partly through modulating O2⋅− generation and the calcineurin/NFATc1 signaling pathway. Thus, the YY1–RCAN1.4 axis constitutes an innovative target for IF/TA treatment in CAD patients.

In order to explore the effect of reconstructing soil quality change after adding Pisha sandstone rich in clay mineral materials to improve sandy soil in the Mu Us Sandy Land. Long-term field monitoring experiments were conducted to study the characteristic changes of the reconstructed soil carbon and nitrogen content and corn yield with different proportions of Pisha sandstone and sand. The results showed that after 9 years of experiment, compared with the original sandy soil, in T1, T2, and T3 treatments the reconstructed soil organic matter content increased by 10, 12, and 11 times, total nitrogen content increased by 5.5, 5.4, and 3.9 times, and corn yield increased by 43.9, 105.9, and 58.5%. Especially, the corn yield of T2 and T3 treatment is greater than or equal to the corn yield of local high-yield fields. In summary, the reconstructed soil quality in different proportions has developed toward a good trend after long-term planting. T2 and T3 treatments have the best effects on reconstructing soil carbon and nitrogen accumulation reconstruction and corn yield increase. T2 and T3 treatments are recommended as the best scientific ratio for improving sandy soil with Pisha sandstone in Mu Us Sandy Land. This method has important reference and guidance for ecological remediation of desertification and degraded land.

AbstractOur research explores the role of M1 macrophage polarization in endothelium-to-myofibroblast transition (EndMT) and chronic allograft dysfunction (CAD). GSE21374 transcriptome sequencing data were obtained. Transplanted nephrectomy specimens from CAD patients were collected and studied to explore the infiltration of M1 and M2 macrophages using immunofluorescence, PCR, and Western blotting (WB). A co-culture model of M1 macrophages, polarized from mouse bone marrow-derived macrophages (BMDM) or Raw264.7, and aortic endothelial cells was established, and EndMT was tested using PCR and WB. RNA-sequencing was performed on the macrophages from the mouse BMDM. The TNF-α secreted from the polarized M1 macrophages was verified using ELISA. Based on the GEO public database, it was observed that macrophages were significantly infiltrated in CAD allograft tissues, with CD68(+) iNOS(+) M1 macrophages significantly infiltrating the glomeruli of allograft tissues, and CD68(+)CD206(+) M2 macrophages notably infiltrating the allograft interstitial area. The mRNA expression of the M1 macrophage marker inducible nitric oxide synthase (iNOS) was significantly increased (p

AbstractBackground The assessment and prevention of mineral and bone disorder (MBD) in kidney transplant recipients (KTRs) have not been standardized. This study aimed to evaluate MBD one year after kidney transplantation (KT) and identify the influencing factors of MBD.Methods A total of 95 KTRs in our center were enrolled. The changes in bone mineral density (BMD) and bone metabolism biochemical markers, including serum calcium (Ca), phosphorus(P), 25-hydroxyvitamin D(25(OH)vitD), intact parathyroid hormone (iPTH), bone alkaline phosphatase, osteocalcin (OC), type I collagen N-terminal peptide and type I collagen C-terminal peptide (CTx), over one year after KT were assessed. The possible influencing factors of BMD were analyzed. The relationships between bone metabolism biochemical markers were evaluated. The indicators between groups with or without iPTH normalization were also compared.Results MBD after KT was manifested as an increased prevalence of hypophosphatemia and bone loss, persistent 25(OH)vitD deficiency, and partially decreased PTH and bone turnover markers (BTMs). Femoral neck BMD was positively correlated with body mass index (BMI) and postoperative 25(OH)vitD, and negatively correlated with postoperative PTH. Lumbar spine BMD was positively correlated with BMI and preoperative TG, and negatively correlated with preoperative OC and CTx. BMD loss was positively associated with glucocorticoid accumulation. Preoperative and postoperative iPTH was negatively correlated with postoperative serum P and 25(OH)vitD, and positively correlated with postoperative Ca and BTMs. The recipients without iPTH normalization, who accounted for 41.0% of all KTRs, presented with higher Ca, lower P, higher BTMs, advanced age, and a higher prevalence of preoperative parathyroid hyperplasia.Conclusions MBD persisted after KT, showing a close relationship with hyperparathyroidism, high bone turnover, and glucocorticoid accumulation.

【Objective】 Mechanical transplanting of rice seedlings often results in some holes being missed for the transplantation. Understanding their ultimate consequence for yield and yield components is important to help improve design and implementation of mechanical transplanting. The purpose of this paper is to experimentally study the effect of the types and number of such missing holes on yield and yield components of rice of different varieties. 【Method】 Rice varieties of Kongyu 131 (KY131) and Longjing 31 (LJ31) were used as the model plants in the experiment. For each variety, there were two missing hole-seedling treatments: inter-plant (P) and inter-row (R). For the inter-plant missing, there were further three types of missing: independent type (PI), spaced type (PS) and mixed type (PM), while for the inter-row missing, there were relative type (RR), reciprocal type (RP), and mixed type (RM). For each treatment, we measured yield and yield traits of rice. 【Result】 There were significant differences in effective panicle numbers, seed setting rate, harvest index and grain yield between the two varieties and treatments. Compared with CK (without missing), the treatments reduced the effective panicles, grain numbers and yield, with the average effective panicles reduced by 13.45% and 15.44% and the average grain yield by 10.50% and 12.82%, respectively, for the inter-plant and inter-row missing holes treatments. The missing holes also changed the allocation of morphological characters of the main stem and the grain yield, though the change varies with varieties. When the number of missing holes was the same, the variation in seed setting rate of KY131 was greater than that of LJ31, and the effective panicles, grain numbers, harvest index and grain yield all decrease with the increase in the missing holes. The yield falling range of inter-row was higher than that of inter-plant, and the yield of KY131 decreases more than that of LJ31, with the average yield reduction in the former and latter being 13.01% and 10.38%, respectively, compared to CK. The main determinant of yield reduction was effective panicles and grain numbers. Correlation analysis showed a significant negative correlation between the missing holes and grain yield, with the effective panicles and 1 000-grain weight reduced being greater for KY131 than for LJ31. The number of effective panicles and grains per square meter was positively correlated with the grain yield at significant level, with the correlation coefficient for the effective panicles number being 0.954 7** and 0.890 4**, respectively, for KY131 and LJ31, the correlation coefficient for the grains number being 0.981 2** and 0.912 5**, respectively, for LJ31 and KY131. 【Conclusion】 The missing holes between plants and rows had a negative effect on many characters of rice, reduced the yield, and was not conducive to the effective combination of agricultural machinery and agronomy.

Let (X, 𝒜, μ) be a σ−finite measure space. A transformation ϕ : X → X is non-singular if μ ∘ ϕ−1 is absolutely continuous with respect with μ. For this non-singular transformation, the composition operator Cϕ: 𝒟(Cϕ) → L2(μ) is defined by Cϕf = f ∘ ϕ, f ∈ 𝒟(Cϕ).

Abstract Frequent oil spill accidents and industrial wastewater discharge has always been one of the most severe worldwide environmental problems. To cope with this problem, many fluorine-containing and high-cost materials with superwettability have been extensively applied for oil–water separation, which hinders its large-scale application. In this work, a novel human hair fiber (HHF)-polymerized octadecylsiloxane (PODS) fiber was fabricated with a facile one-pot dip-coating synthesis approach, inspired by the self-assembly performance and hydrophobicity of OTS modification. The benefits of prominent hydrophobic/lipophilic behavior lie in the low surface energy, and a rough PODS coating was rationally adhered on the surface of HHF. Driven solely by gravity and capillary force, the HHF-PODS showed excellent oil/water separation efficiency (> 99.0%) for a wide range of heavy and light oil/water mixtures. In addition, HHF-PODS demonstrated durability toward different harsh environments like alkaline, acid, and salty solutions.

The study of the distribution of cementitious materials in soil aggregates is important for understanding the formation of aggregates in soil due to the addition of soft rock rich in clay. Soft rock and sand in the ratios of 1:1(C1), 1:2(C2), 1:5(C3), and 1:0(CK) were collected in a test field, and the wet sieve method was used to separate large water-stable soil aggregates. The microstructures of the aggregates and the amounts of iron–aluminum compounds and clay minerals were measured. The result shows that the addition of soft rock improves the ability to create effective soil formations in sand. The order of the amounts of >0.5 mm sized water-stable aggregates based on the different treatments is C1 > C3 > C2 > CK. In the later stages of improvement, iron–aluminum oxides, clay minerals, and calcareous cements in modified soil were important for the formation of water-stable aggregates. The enhancing effect of minerals gradually increases, among which amorphous alumina and complexed iron oxide promote the formation of large water-stable aggregates in improved sandy soil. It is concluded that the engineering technique of compounding soft rock and sand is a new technology that can promote sand-forming soil and permanently change the properties of aeolian sand soil.

Background: This study aimed to explore the effect and mechanism of iguratimod (IGT) on M1 macrophage polarization and antibody-mediated rejection (ABMR) after renal transplant.Methods: Bioinformatics analysis was performed using three public databases derived from the GEO database. Sprague–Dawley (SD) rats were pre-sensitized with donors of Wistar rats in skin transplantation and a rat renal transplant ABMR model was established from the donors to skin pre-sensitized recipients. Subsequently, IGT was treated on the ABMR model. Routine staining and immunofluorescence (IF) staining were performed to observe the pathological changes in each group and flow cytometry was performed to detect the changes of DSA titers in peripheral blood. In addition, bone-marrow-derived macrophage (BMDM) was extracted and interfered with IGT to explore the effect of IGT in vivo. PCR, IF staining, and Western blot were used to detect the expression of related genes and proteins.Results: Bioinformatics analysis revealed that several immune cells were significantly infiltrated in the ABMR allograft, while M1 macrophage was noticed with the most significance. Results of IF staining and PCR proved the findings of the bioinformatics analysis. Based on this, IGT was observed to significantly attenuate the degree of peritubular capillary vasculitis and arteriolitis in the rat renal transplant ABMR model, whereas it decreases the expression of C4d and reduces the titer of DSA. Results in vitro suggested that M1 macrophage-related transcripts and proteins were significantly reduced by the treatment of IGT in a dose- and time-dependent manner. Furthermore, IGT intervention could remarkably decrease the expression of KLF4.Conclusion: Polarization of M1 macrophages may aggravate ABMR after renal transplant by promoting DSA-mediated endothelial cell injury, and IGT may attenuate the pathogenesis of ABMR by targeting KLF4.

Automated rubber tapping not only frees the workers from heavy physical labor and harsh working conditions, but also reduces the dependence on the workers' skills and greatly increases tapping efficiency. The key technologies for tapping robots are the independent acquisition of operational information and servo control of the tapping position in unstructured environments. In this study, taking rubber tree in rubber plantations as object, incorporating robot kinematics, machine vision technology and multi-sensor feedback control technology, a modular prototype of a rubber tapping robot was developed. The rubber tapping robot was mainly composed of an orbital mobile platform, a multi-joint robotic arm, a binocular stereo vision system and an end-effector. The binocular stereo vision and structured light system were used to obtain the structural parameters of the rubber trunk and secant. A six-joint tandem robotic arm was used for the planning and realization of complex rubber tapping trajectories. An multi-sensor fusion end-effector was developed to complete the identification of the starting point, the measurement of cut compensation and the tapping operation. To address the technical difficulties in rubber tapping operations, such as complex and variable environment, superimposed interaction of operational information, similar target background features and sub-millimeter operational accuracy requirements, the spatial mathematical model of the rubber tapping trajectory was established to plan the robot's movement path for fast approaching and moving away from the operation space. The results of the field tests conducted at a natural rubber plantation in Hainan province showed that the accuracy in bark consumption was about 0.28 mm and the accuracy in cutting depth was about 0.49 mm when the rubber tapping robot cut 1 mm thick bark. Compared to manual operations, the continuity of the chips and the flatness of the rubber output surface were improved significantly. This research could provide a positive reference and development direction for exploring automated rubber tapping operations.

The specific absorption rate (SAR) needs to be estimated for safety concerns when performing high-field magnetic resonance imaging (MRI) on knee joint. Electromagnetic simulation can be used to calculate the local SAR on knees if a patient-specific knee model is available. In this work, a method for rapid construction of knee models from low-field magnetic resonance knee images was proposed. A convolutional neural network (CNN) was first used to segment the sagittal T1-weighted spin echo images of knees into fat, bone and muscle. All the pixels other than those from the fat and bone are classified as muscle pixels. The U-Net network, a full CNN with a convolutional layer number of four and adopting a cross entropy function, was used to perform segmentation slice-by-slice. The results from automatic segmentation were compared with those obtained with manual delineation with quantitative measures. Moreover, SAR with a 3 T quadrature birdcage coil was calculated. The simulation results validated the proposed method by showing that and a relatively accurate local SAR estimation could be obtained with the knee models constructed from low-field knee images.

Objectives: Early diagnosis and detection of acute rejection following kidney transplantation are of great significance for guiding the treatment and improving the prognosis of renal transplant recipients. In this study, we are aimed to explore the biological characteristics of biopsy-proven acute rejection (BPAR) and establish a predictive model.Methods: Gene expression matrix of the renal allograft samples in the GEO database were screened and included, using Limma R package to identify differentially expressed transcripts between BPAR and No-BPAR groups. Then a predictive model of BPAR was established based on logistic regression of which key transcripts involved in the predictive model were further explored using functional enrichment analyses including Gene Ontology analysis (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and Gene Set Enrichment Analysis (GSEA).Results: A total of four studies (GSE129166, GSE48581, GSE36059, and GSE98320) were included for extensive analysis of differential expression. 32 differential expressed transcripts were observed to be significant between two groups after the pooled analysis. Afterward, a predictive model containing the five most significant transcripts (IDO1, CXCL10, IFNG, GBP1, PMAIP1) showed good predictive efficacy for BPAR after kidney transplantation (AUC = 0.919, 95%CI = 0.902–0.939). Results of functional enrichment analysis showed that The functions of differential genes are mainly manifested in chemokine receptor binding, chemokine activity, G protein-coupled receptor binding, etc. while the immune infiltration analysis indicated that immune cells mainly related to acute rejection include Macrophages. M1, T cells gamma delta, T cells CD4 memory activated, eosinophils, etc.Conclusion: We have identified a total of 32 differential expressed transcripts and based on that, a predictive model with five significant transcripts was established, which was suggested as a highly recommended tool for the prediction of BPAR after kidney transplantation. However, an extensive study should be performed for the evaluation of the predictive model and mechanism involved.

T cell-mediated rejection (TCMR) is an important rejection type in kidney transplantation, characterized by T cells and macrophages infiltration. The application of bioinformatic analysis in genomic research has been widely used. In the present study, Microarray data was analyzed to identify the potential diagnostic markers of TCMR in kidney transplantation. Cell-type identification by estimating relative subsets of RNA transcript (CIBERSORT) was performed to determine the distribution of immune cell infiltration in the pathology. Totally 129 upregulated differently expressed genes (DEGs) and 378 downregulated DEGs were identified. The GO and KEGG results demonstrated that DEGs were mainly associated with pathways and diseases involved in immune response. The intersection of the two algorithms (PPI network and LASSO) contains three overlapping genes (CXCR6, CXCL13 and FCGR1A). After verification in GSE69677, only CXCR6 and CXCL13 were selected. Immune cells Infiltration analysis demonstrated that CXCR6 and CXCL13 were positively correlated with gamma delta T cells (p < 0.001), CD4+ memory activated T cells (p < 0.001), CD8+ T cells (p < 0.001) and M1 macrophages (p = 0.006), and negatively correlated with M2 macrophages (p < 0.001) and regulatory T cells (p < 0.001). Immunohistochemical staining and image analysis confirmed the overexpression of CXCR6 and CXCL13 in human allograft TCMR samples. CXCR6 and CXCL13 could be diagnostic biomarkers of TCMR and potential targets for immunotherapy in patients with TCMR.

Ferulic acid (FA) is one of the most abundant phenolic acids in grain, mainly existing in bran and cereal germ and existing as an insoluble combined state. FA has a strong antioxidant and cell-protection activity, and has a role in scavenging hydrogenperoxide, superoxideradical, hydroxyl radical and nitroso peroxide. In addition, FA can suppress the activity of enzymes producing free radical, and enhance the activity of enzymes scavenging free radical. Therefore, FA can be used to prevent or treat some diseases, such as cardiovascular diseases, alzheimer’s disease, cancer, diabetes mellitus, obesity, etc. Physicochemical properties, nutritional values and physiological activities of FA in grain and its benefits for health have been reviewed in this paper in order to offer some references for related researchers.

The nutrient composition, fatty acid value, mycotoxins and swine bionic digestible energy of 28 stored corn samples collected from Heilongjiang granaries stored in 2013, 2014, 2015 and 2016 were detected. The results showed that compared with stored corn samples collected in 2014, 2015 and 2016, stored corn collected in 2013 had lower content of arginine and tyrosine (P0.05). In conclusion, the samples have similar nutrition value for pigs, so that all of them could be utilized in preparation of pig feed.

The damage evolution under thermal fatigue loading for AlSi10Mg(Cu) cast alloy on the crack initiation and early propagation stage, mainly focusing on the influence of silicon particles on the thermal fatigue crack behaviour. The results show that, thermal fatigue crack origins from the failure interfaces between debonded silicon particles and matrix, that is because of the difference in thermal expansion coefficient between silicon particles and aluminum matrix, thus leading to the misfit of thermal strain, finally caused cyclic stress on the interfaces with fatigue failure. The propagation of thermal fatigue crack related to the growth on both length and width direction, ductile dendrite hinders the propagation of fatigue crack. The result of simulation analysis about the stress distribution around silicon particles during thermal fatigue is given to help discuss the experiment results.

Conventional fast Fourier transform（ FFT） has been the most popular method of processing non-stationary and nonlinear signals. However,FFT has been known to be less efficient because of aliasing. In view of such constraints,this paper proposes a new method based on Hilbert-Huang transform-FFT of intrinsic mode functions（ IMFs）. In the present work,FFT of IMFs from HHT process has been incorporated to utilize efficiency of FFT in frequency domain. Take transmission system of mining machine cutting department for example,nonlinear vibration signals has been measured by experiment. Conventional FFT and FFT of intrinsic mode functions（ IMFs） are used for analyzing the nonlinear modulation characteristics of the experimental signals respectively. The comparative analysis presented in this paper indicates the effectiveness of using FFT of IMFs for recognizing the frequency components which participate in nonlinear frequency modulation. The method proposed can avoid the phenomenon of aliasing.

Cannabis use disorder (CanUD) has increased with the legalization of the use of cannabis. Around 20% of individuals using cannabis develop CanUD, and the number of users has grown with increasing ease of access. CanUD and other substance use disorders (SUDs) are associated phenotypically and genetically. We leveraged new CanUD genomics data to undertake genetically-informed analyses with unprecedented power, to investigate the genetic architecture and causal relationships between CanUD and lifetime cannabis use with risk for developing SUDs and substance use traits. Analyses included calculating local and global genetic correlations, genomic structural equation modeling (genomicSEM), and Mendelian Randomization (MR). Results from the genetic correlation and genomicSEM analyses demonstrated that CanUD and cannabis use differ in their relationships with SUDs and substance use traits. We found significant causal effects of CanUD influencing all the analyzed traits: opioid use disorder (OUD) (Inverse variant weighted, IVW β = 0.925 ± 0.082), problematic alcohol use (PAU) (IVW β = 0.443 ± 0.030), drinks per week (DPW) (IVW β = 0.182 ± 0.025), Fagerström Test for Nicotine Dependence (FTND) (IVW β = 0.183 ± 0.052), cigarettes per day (IVW β = 0.150 ± 0.045), current versus former smokers (IVW β = 0.178 ± 0.052), and smoking initiation (IVW β = 0.405 ± 0.042). We also found evidence of bidirectionality showing that OUD, PAU, smoking initiation, smoking cessation, and DPW all increase risk of developing CanUD. For cannabis use, bidirectional relationships were inferred with PAU, smoking initiation, and DPW; cannabis use was also associated with a higher risk of developing OUD (IVW β = 0.785 ± 0.266). GenomicSEM confirmed that CanUD and cannabis use load onto different genetic factors. We conclude that CanUD and cannabis use can increase the risk of developing other SUDs. This has substantial public health implications; the move towards legalization of cannabis use may be expected to increase other kinds of problematic substance use. These harmful outcomes are in addition to the medical harms associated directly with CanUD.