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In this article, we consider the following quasilinear Schrödinger system: −εΔu+u+k2ε[Δ∣u∣2]u=2αα+β∣u∣α−2u∣v∣β,x∈RN,−εΔv+v+k2ε[Δ∣v∣2]v=2βα+β∣u∣α∣v∣β−2v,x∈RN,\left\{\begin{array}{ll}-\varepsilon \Delta u+u+\frac{k}{2}\varepsilon \left[\Delta \hspace{-0.25em}{| u| }^{2}]u=\frac{2\alpha }{\alpha +\beta }{| u| }^{\alpha -2}u{| v| }^{\beta },& x\in {{\mathbb{R}}}^{N},\\ -\varepsilon \Delta v+v+\frac{k}{2}\varepsilon \left[\Delta \hspace{-0.25em}{| v| }^{2}]v=\frac{2\beta }{\alpha +\beta }{| u| }^{\alpha }{| v| }^{\beta -2}v,& x\in {{\mathbb{R}}}^{N},\end{array}\right. where ε>0,k

Carnosine dipeptidase 1 (CNDP1), an enzyme integral to the hydrolysis of dipeptides containing histidine, plays an indispensable role in myriad physiological processes, including hydrolysis of proteins, maturation of specific biochemical functionalities within proteins, tissue regeneration, and regulation of cell cycle. However, the implications of CNDP1 in oncogenesis and its prognostic value are not yet fully elucidated. Initially, we procured the GSE40367 dataset from the Gene Expression Omnibus and established a protein–protein interaction network. Thereafter, we conducted functional and pathway enrichment analyses utilizing GO, KEGG, and GSEA. Moreover, we undertook an association analysis concerning the expression of CNDP1 with immune infiltration, along with survival analysis across various cancers and specifically in hepatocellular carcinoma (HCC). Our study uncovered a total of 2,248 differentially expressed genes, with a down-regulation of CNDP1 in HCC and other cancers. Our explorations into the relationship between CNDP1 and immune infiltration disclosed a negative correlation between CNDP1 expression and the presence of immune cells in HCC. Survival analyses revealed that diminished expression of CNDP1 correlates with an adverse prognosis in HCC and several other types of cancer. These observations intimate that CNDP1 holds promise as a novel prognostic biomarker for both pan-cancer and HCC.

This work extensively investigated the preparation and dispersion of concentrated aqueous suspensions of H₃PO₄-treated nano-sized Y₂O₃ powder particles. For comparison purposes, the untreated Y₂O₃ powder was also studied. Compared to the untreated Y₂O₃ powder, the treated powder exhibited a narrower particle size distribution and enhanced homogeneity in particle dispersion. In the case of the untreated powder suspension, there was a rapid increase in the pH from 9.34 to 10.4 in a short dispersion time, whereas no variation in the pH was observed for the treated Y₂O₃ suspension during the hydrolysis tests. This was because the phosphate-based protection layer on the surfaces of the particles inhibited the hydrolysis of Y₂O₃ powders, thus enabling the formation of colloidally stable suspensions. TAC was employed as the dispersant in preparing both the treated and untreated Y₂O₃ suspensions. The treated Y₂O₃ suspension exhibited lower viscosity and maintained long-lasting stability for 6 h compared to the untreated one. It was determined that the use of H₃PO₄ at a dosage of 1 wt% allowed one to obtain suspensions with the lowest sedimentation volume and viscosity. A series of treated Y₂O₃ suspensions with solid loadings ranging from 20 vol% to 40 vol% were obtained, which were centrifugal slip cast into cylindrical shapes. The resulting cast green bodies from the 35 vol% treated Y₂O₃ suspensions exhibited a uniform and high packing density of 49.24%.

Objective: To determine the inhibitory effects of pachymic acid on lung adenocarcinoma (LUAD) cells and elucidate its underlying mechanism. Methods: CCK-8, wound healing, Transwell, Western blot, tube formation, and immunofluorescence assays were carried out to measure the effects of various concentrations of pachymic acid on LUAD cell proliferation, metastasis, angiogenesis as well as autophagy. Subsequently, molecular docking technology was used to detect the potential targeted binding association between pachymic acid and protein tyrosine phosphatase 1B (PTP1B). Moreover, PTP1B was overexpressed in A549 cells to detect the specific mechanisms of pachymic acid. Results: Pachymic acid suppressed LUAD cell viability, metastasis as well as angiogenesis while inducing cell autophagy. It also targeted PTP1B and lowered PTP1B expression. However, PTP1B overexpression reversed the effects of pachymic acid on metastasis, angiogenesis, and autophagy as well as the expression of Wnt3a and β-catenin in LUAD cells. Conclusions: Pachymic acid inhibits metastasis and angiogenesis, and promotes autophagy in LUAD cells by modulating the Wnt/β-catenin signaling pathway via targeting PTP1B.

Atopic dermatitis (AD) is a relapsing inflammatory skin condition that has become a global health issue with complex etiology and mounting prevalence. The association of AD with skin and gut microbiota has been revealed by virtue of the continuous development of sequencing technology and genomics analysis. Also, the gut–brain–skin axis and its mutual crosstalk mechanisms have been gradually verified. Accordingly, the microbiota–skin–gut axis also plays an important role in allergic skin inflammation. Herein, we reviewed the relationship between the microbiota–skin–gut axis and AD, explored the underlying signaling molecules and potential pathways, and focused on the potential mechanisms of probiotics, antimicrobial peptides (AMPs), coagulase-negative staphylococci transplantation, fecal microbiota transplantation, AMPs, and addition of essential fatty acids in alleviating AD, with the aim to provide a new perspective for targeting microbiota in the treatment of allergic skin inflammation.

Electrochemical reaction is a continuous dynamic process, accompanied by electron transfer and generation of short-lived intermediates. The mechanism investigation of electrochemical interfaces is pivotal for the progression of energy storage, electro-organic synthesis, electrocatalysis, and electroanalysis. The valuable insights for optimizing performance, improving efficiency, and developing novel methodologies can be attained by elucidating the complicated pathways involved in the electrochemical processes. Thus, how to monitor transient intermediates formed at the solid-liquid interface becomes the critical point in unraveling these intricate processes. To this end, a series of in-situ analytical methods such as in-situ electron paramagnetic resonance spectroscopy (in-situ EPR), in-situ Raman spectroscopy, in-situ infrared spectroscopy (in-situ IR) and in-situ electrochemical mass spectrometry (in-situ EC-MS) have been exploited to probe the chemical transformations at the electrode/electrolyte interface. Among them, due to the superior specificity for interpreting molecular information, EC-MS has progressively gained extensive attention as a powerful and reliable tool for capturing intermediates and revealing the mechanisms in electrochemical reactions. In this review, the research progresses in the recent advancements in the detection of transient reaction intermediates through electrochemical mass spectrometry were presented. The discussion centered on elucidating the principle and configuration of the devices employed in EC-MS, with a specific focus on electrospray ionization mass spectrometry (ESI-MS), atmospheric pressure ionization mass spectrometry (AIMS) and time-of-flight secondary ion mass spectrometry (TOF-SIMS). In addition, the review delved into the wide-ranging applications of EC-MS in monitoring electrochemical processes in electro-organic synthesis, electrocatalysis, lithium-ion batteries, electrochemiluminescence, and bioelectrochemical reactions. Despite the remarkable progress has made, the challenges in the field of EC-MS are prospected. There is still an urgent need for further improvement of the experimental apparatus to enhance the sampling efficiency and time resolution to capture short-lived and low-concentration reaction intermediates. In the future, we anticipate that EC-MS will be combined with other in situ analytical techniques, such as in situ infrared or Raman spectroscopy, enabling multi-dimensional characterization and monitoring of electrochemical reaction intermediates.

In order to improve the core power density of liquid metal reactors, plate-type fuel assemblies are typically used, which have obvious advantages in heat transfer capacity. For the low Prandtl number fluid, the RANS turbulence model-based CFD method needs to be modified by inserting the turbulent Prandtl number model. This paper investigated the turbulent Prandtl number model for the turbulent heat transfer of liquid metal flow in a narrow rectangular channel. First, the existing turbulent Prandtl number models were summarized and classified as the local turbulence Prandtl number model and the global turbulence Prandtl number model. They were evaluated based on the experimental data. The results showed that the prediction results of each model are not ideal. Then, a typical numerical example was used to analyze the temperature field and flow field in the narrow gap of a narrow rectangular channel. It was shown that the entire flow region only includes the near-wall region and the transition region, and the transition region accounts for the main proportion. A semi-empirical local turbulence Prandtl number model was obtained by solving the turbulent transport equation, and the unknown coefficients were determined iteratively with the experimental data. The error was controlled within ±20%. Finally, the applicability of the newly proposed turbulent Prandtl number model was explored, and the results showed that it has good applicability for the different runner sizes and different liquid metal types. This study can provide a reference for the numerical simulation of turbulent heat transfer of metal liquid in the narrow rectangular channel.

In this study, the fermentation supernatant, cells and disrupted cell supernatant of five strains of lactic acid bacteria (LAB) were screened for tyrosinase inhibitory activity and 1,1-diphenyl-2-picrylhydrazyl (DPPH) radical scavenging capacity. The results showed that the tyrosinase inhibitory activity of the fermentation supernatant was much higher than that of the cells and the disrupted cell supernatant. The percentage inhibition of tyrosinase activity by the fermentation supernatant of strain MNJ-9 was 68.9% compared to only 50.9% with the cells and 34.8% with the disrupted cell supernatant. The fermentation supernatant of strain MNJ-9 scavenged 93.1% of DPPH radical. Meanwhile, MNJ-9 was identified by 16S rDNA gene sequencing. The major components of the fermentation supernatant of MNJ-9 were investigated using untargeted metabolomics based on liquid chromatography-mass spectrometry (LC-MS). The tyrosinase inhibitory activity and DPPH radical scavenging capacity of 10 of the major components were measured. The results showed that 5-aminovaleric acid had the highest tyrosinase inhibitory activity and DPPH radical scavenging capacity. The cytotoxicity of 5-aminovaleric acid on mouse melanoma cells (B16F10), and its impact on the melanin content and tyrosinase activity of B16F10 cells were determined to evaluate its whitening ability. The results showed that the cell survival rate was equal to or over 80% after culture for 72 h with 70 μg/mL of 5-aminovaleric acid, indicating no apparent cytotoxicity. At 5-aminovaleric acid concentrations of 10–70 μg/mL, the intracellular melanin content and tyrosinase activity were 85.4%–45.2% and 76.53%–40.5%, respectively. This indicates that 5-aminovaleric acid has some whitening ability.

How to simultaneously obtain the depth, edge, and other light information of the scene to accurately perceive the physical world is an important issue for imaging systems. However, such tasks usually require bulky optical components and active illumination methods. Here, we design and experimentally validate a single geometric metasurface that can achieve depth measurement or edge detection under incoherent or coherent light respectively. Double helix point source function is utilized, and three verification experiments are carried out, including double-helix beam calibration, 2D object and 3D object detection, respectively. Additionally, two-dimensional edge detection can also be achieved. This compact imaging system can enable new applications in various fields, from machine vision to microscopy.

The selection of college grants is affected by many factors, but some of the influencing factors cannot be quantitatively judged at present. In order to be more fair and reasonable to the students in need of financial assistance for the review and evaluation, this paper introduces the fuzzy comprehensive evaluation method into the process to establish a fuzzy hierarchical analysis based on the college national scholarship evaluation model, the article finally through a specific example of the application of this paper based on the fuzzy comprehensive evaluation of the optimization model of the bursary system. The affiliation degree of the fuzzy comprehensive evaluation-based scholarship system constructed in this paper is (0.536,0.323,0.130,0.014), and the article concludes that Zhang’s moral education status is very good, and he is qualified to receive the scholarship.

To be able to better develop local folk music and traditional culture, this paper proposes the optimization of local folk music teaching and transmission paths. Analyze the musical styles taught in colleges and universities, learn that ethnic music with a strong national culture is not asked for, build a more comprehensive and three-dimensional system of musical knowledge, master the cultural connotations of ethnic music, strengthen the understanding of their own group culture, and lay the foundation for survival and development in a multicultural society. According to single or multiple continuous or discrete analysis of folk music teaching transmission paths, the state variables of the path optimization process are set to ensure that the growth rate coefficient of the teaching transmission path is positive and the growth rate of teaching is positive. Combining the amount of teaching demand for local ethnic music, the inflection point of the path curve is substituted into the transmission path to obtain the path state variable values. Using the fruit fly optimization algorithm to strengthen the Logistic model, the individual flight distance and direction of fruit flies are preset, and the distance value between the fruit fly position and the origin is calculated to locate toward the target position with visual advantage, and finally the music teaching transmission path optimization is realized. The analysis results show that the logistic model combined with the FOA algorithm has a significantly higher test rate both for subsamples and full samples, and the value of 0.45 is closer to the true value of 0.46, which has a strong applicability and a good path optimization effect.

Environmental pollution is one of the most significant public concerns in modern society, which is harmful to ecology and human health directly or indirectly. Among different types of environmental pollutants, environmental endocrine disruptors, drugs and personal care products are more serious in water and soil. In order to deal with the residues of environmental pollutants and avoid their long-term potential harm to human health, there is an urgent need to develop a rapid and accurate method for analyzing and monitoring environmental pollutants. As one of ambient ionization mass spectrometry, direct analysis in real time mass spectrometry (DART-MS) has the advantage of ease of use, rapid analysis and minimum sample preparation. It can realize fast sampling under ambient conditions and serve a promising technique for environmental pollutant screening. In this review, the principle of DART-MS and its characteristics were introduced firstly, and then the application of DART-MS in the detection of pesticide residues, veterinary drugs and abused drugs, and environmental pollutants were briefly summarized. Finally, methodology and application of DART-MS in the screening of environmental pollutants were prospected.

Two-component systems typically consist of a paired histidine kinase and response regulator and couple environmental changes to adaptive responses. The response regulator VbrR from Vibrio parahaemolyticus, a member of the OmpR/PhoB family, regulates virulence and antibiotic resistance genes. The activation mechanism of VbrR remains unclear. Here, we report the crystal structures of full-length VbrR in complex with DNA in the active conformation and the N-terminal receiver domain (RD) and the C-terminal DNA-binding domain (DBD) in both active and inactive conformations. Structural and biochemical analyses suggest that unphosphorylated VbrR adopts mainly as inactive dimers through the DBD at the autoinhibitory state. The RD undergoes a monomer-to-dimer transition upon phosphorylation, which further induces the transition of DBD from an autoinhibitory dimer to an active dimer and enables its binding with target DNA. Our study suggests a new model for phosphorylation-induced activation of response regulators and sheds light on the pathogenesis of V. parahaemolyticus.

In order to solve the system of compatible nonlinear equations, the author proposes a hybrid computational intelligence method of Newton's method and genetic algorithm. First, the Quasi-Newton Methods (QN) method is given. Aiming at the local convergence of the algorithm, it is easy to cause the solution to fail. By embedding the QN operator in the Genetic Algorithm (GA) and defining the appropriate fitness, thus, a hybrid computational intelligence algorithm of CNLE is obtained that combines the advantages of GA and QN method, which has both faster convergence and higher probability of solving. Experimental results show that: The value of the selection probability pn of the QN operator also directly affects the solution efficiency. Generally speaking, for strong nonlinear CNLE composed of multimodal functions, pn can be larger; For weakly nonlinear CNLE composed of functions with fewer extreme points and stronger monotonicity, pn can be smaller. It is demonstrated that the computational results show that this method significantly outperforms the GA and QN methods.

Infertility is a major health concern worldwide. This retrospective study aimed to assess the predictive value of the morphokinetic parameters of temporary-arrest embryos for the pregnancy outcomes of women undergoing frozen embryo transfer (FET) cycles. In this study, we evaluated 244 FET cycles with 431 day-4 temporary-arrest embryos. They were categorized into two groups (pregnancy and non-pregnancy) according to the pregnancy outcomes of the women after embryo transfer on day 5, and their fundamental characteristics were compared. The morphokinetic parameters from the time-lapse monitoring system were assessed according to different pregnancy outcomes. The mean number of embryo blastomeres thawed on day 3 in the pregnancy group was 7.47, which was significantly higher than the number in the non-pregnancy group (p < 0.01). Besides, embryos in the non-pregnancy group contained more embryo fragments and lower grades than those in the pregnancy group (p < 0.001). Furthermore, morphokinetic parameters: tPNa, t2, t5, and t5_tPNf showed a statistical difference between the pregnancy and non-pregnancy groups (p < 0.05). Receiver-operating characteristic analysis revealed that the time from pronuclear fading to the 5-cell stage (t5_PNF) predicted the clinical prognosis outcomes (area under the curve = 0.64; 95% confidence interval [CI], 0.58–0.70; p < 0.001). The morphokinetic parameter t5_PNF could be regarded as a potential implantation predictor in our study.

Renewable energy DC hydrogen production has become a new development trend. Due to the interaction between the weak damping of DC network and the negative impedance characteristics of power supply of hydrogen production, the actual available power of renewable and hydrogen energy DC interconnection system will be lower than its rated setting value. To solve this problem, this paper proposes an intelligent damping control to realize the rated power operation of hydrogen generation power source and significantly improve the hydrogen generation performance. In this paper, the nonlinear model under typical control strategies is established in order to adapt to different degrees of disturbance, and the damping controller is designed based on state feedback, including feedback control law and damping generation formula. On this basis, an intelligent method of damping control is proposed to support rapid decision-making. Finally, the intelligent damping control method is verified by simulation analysis. It realizes rated power of power supply of hydrogen production by generating only a small amount of damping power and superimposing it on the hydrogen production power.

Objective: In order to explore the effect of an external electrostatic field on the growth of ice crystals during food freezing. Methods: Based on the classic Kobayashi model of phase field method, the free energy density of electric field was introduced into the phase field model. Used the five-point difference scheme in the finite difference method to discretize the partial differential equation, the simulation and visualization of ice crystal growth were realized by programming. Results: The results showed that the simulation results were consistent with other simulation results and experimental results, and the ice crystal morphology had a typical sixfold symmetry; With the increase of electric field intensity, the growth rate of main branches and nucleation growth of ice crystals were inhibited. Conclusion: In the process of quick-frozen food preservation, adding a certain electric field strength will reduce the formation of ice crystals, and retain the quality and flavor of food as much as possible.

Single pixel imaging as an alternative to traditional imaging methods, has attracted extensive attention in various research fields. Metasurfaces with subwavelength unit cells and compact footprint can be used as a substitute for traditional optical elements. In this work, we propose a single pixel imaging scheme based on metasurface composed of photon sieves, where spatial modulation is realized through shifting. Spatial multiplexing capability is demonstrated by this shifting mode, which can obtain more patterns in limited space and greatly increase the mask capacity. Benefited from the simple structure and easy manufacture of photon sieves, large capacity metasurface can be manufactured. Meanwhile, metasurfaces can simplify the single pixel imaging system, leading to the system miniaturization and integration. In addition, numerical and optical experiments prove that our proposal can operate at the range from the entire visible light to near-infrared light. Such scheme provides a new way for single pixel imaging and would be applied in microscopic imaging, dynamic imaging, hyperspectral imaging, and so on.

With the rapid development of the world economy, some developing countries only pay attention to the growth rate of GDP, but ignore the importance of sustainable development. The extensive economy, which relies on a lot of energy to drive economic growth, can no longer meet the development requirements of a low-carbon economy. Fundamentally changing this mode of economic growth, optimising the energy structure will become an effective key path. This paper starts with the current situation of the government's development of a low-carbon economy, and analyses the factors affecting it. In order to develop a low-carbon economy, reducing haze pollution and greenhouse gas emissions, energy conservation and emission reduction work of the logistics industry becomes imminent. To analyse the current situation of logistics energy efficiency and structure, qualitative and quantitative research methods are used to measure the impact of these indicators on a low-carbon economy, predict the total energy demand and supply under different scenarios, and formulate the best scenario to optimise the energy structure. Finally, the government put forward the grey prediction management scheme for the development of a low-carbon economy.

As the pace of national modernisation accelerates, the society urgently needs talents with entrepreneurial qualities and innovative spirit. Therefore, colleges and universities need to vigorously cultivate the entrepreneurial quality and innovative spirit of college students. We believe that the quality evaluation index system for implementing innovation and entrepreneurship education should be constructed from the perspectives of university students, colleges and universities and the external environment. The article constructs a structural equation model (SEM) with seven hidden variables and 23 observed variables. By revising the hypothetical model, it is concluded that the total effect of cultivating innovative and entrepreneurial talents is 0.48. Therefore, we believe that the current development of postgraduate innovation and entrepreneurship education is still very unsatisfactory. The entrepreneurial situation of students has not attracted the attention of colleges and universities. The allocation of resources, full-time teachers and the curriculum system need to be further improved.

The article analyzes why colleges and universities should strengthen innovation and entrepreneurship education based on “mass entrepreneurship and innovation”’ First, we conduct a questionnaire survey on the status of college students’ innovation and entrepreneurship attitude and use nonlinear methods to construct an evaluation model of innovation and entrepreneurship capabilities to evaluate students’ innovation and entrepreneurship capabilities quantitatively. Finally, we verify the effectiveness of the combined evaluation model through data on the innovation and entrepreneurship activities of college students. The research results can provide a new idea for appraisal of college students’ innovation and entrepreneurship ability.

This article summarises 15 factors that affect the collaborative innovation of industry, university and research through literature research and establishes the innovation entity and innovation environment subsystem of the collaborative innovation system of colleges and universities based on the theory of synergy. By setting system boundaries and causal relationship analysis, the dynamic model of the collaborative innovation system in colleges and universities is established, and the model's validity is verified. Combining the actual work, the enlightenment of collaborative innovation management in colleges and universities is as follows: Develop collaborative innovation led by scientific and technological talents strategy. Strengthen the policy and system support for collaborative innovation of colleges and universities. Improve the collaborative innovation input mechanism of institutions of higher learning.

Objective: In order to improve the quality of cantaloupe production and shorten the drying period. Methods: Use different blanching time (0.5, 1.0, 1.5, 2.0, 2.5 min), impregnation liquid (0.1%, 0.2%, 0.3%, 0.4%, 0.5% citric acid solution) to pretreat cantaloupe slices, and study different hot air temperature (35, 45, 55, 65, 75 ℃), air velocities (0.5, 1.0, 1.5, 2.0, 2.5 m/s), and slice thicknesses (2, 4, 6, 8, 10 mm) on the hot air drying characteristics and moisture diffusivity coefficient of cantaloupe slices, different thin-layer drying mathematical models were fitted. Results: 0.4% citric acid pretreatment yields the best quality dried product, and the temperature and thickness influenced slice drying significantly. There was no constant drying stage in cantaloupe slices drying with the effective moisture diffusivity coefficients of 1.134 8×10-7~4.908 0×10-7 m2/s and activation energy of 28.15 kJ/mol. Conclusion: The optimal hot air drying process of cantaloupe slices drying is as followed: hot air temperature of 55 ℃, air velocities of 2.0 m/s, slice thickness of 6 mm, under the conditions, Page model has the highest R2 value and the lowest root mean square error, which is more suitable for evaluating the moisture removal law of hot-air drying of cantaloupe slices.

Objective: To explore the influence of different screw configurations of intermeshing co-rotating twin -screw extruder on the flow field and improve the material properties of PLA. Methods: The geometric model of double threaded element was established by using Solidworks software, and the numerical simulation was carried out in Polyflow. The post-processing analysis of the simulation results was carried out with the help of Fieldview software. The shear rate field, pressure field, velocity field, viscosity field and the residence time distribution RTD were compared to obtain the influence of screw groove depth on the flow field. Results: When the center distance was the same, the depth of the screw groove was changed by changing the ratio of the outer diameter to the inner diameter of the threaded element, physical fields and mixing performance had great differences in the flow field of intermeshing co-rotating twin-screw extruder under the same process conditions. Compared with configuration 2, configuration 1 had stronger shear effect, but configuration 2 had better pressure building ability. In the extrusion process, configuration 2 had good axial mixing ability but poor self-cleaning ability, while configuration 1 had poor axial mixing ability and good self-cleaning ability. Conclusion: The change in screw groove depth has certain effects and rules on the mixing performance of the flow field, which can effectively guide the design of threaded element for twin-screw extruder.

Atherosclerosis and chemokines are strongly related, but the role of the chemokine CXCL17 in atherogenesis is still poorly understood. We aim to investigate the serum CXCL17 levels in different stages of patients with coronary heart disease and explore whether these differences contribute to atherosclerosis. In the current prospective study, we enrolled 48 patients with unstable angina (UA), 51 patients with stable angina (SA) and 41 patients for the control group (CG). All subjects were diagnosed by coronary angiography and Gensini score was used to evaluate the severity of coronary artery disease. The CXCL17 levels were determined using ELISA, while lipid metabolism indicators and high sensitivity C-reactive protein (hs-CRP) were detected by automatic biochemical analyzer. We observed that the unstable angina group had higher CXCL17 levels compared with the stable angina and the control group. The logistic regression analysis showed that CXCL17 was an independent risk factor for unstable angina. Our results showed that CXCL17 was also statistically correlated with hs-CRP, while it was irrelevant with Gensini score. CXCL17 levels were associated with activity of inflammatory response and the instability of atherosclerotic plaques. These results suggest that CXCL17 elevation may be a potential new biomarker of unstable angina.

BACKGROUND Beijing is a typical geographical distribution area of selenium deficiency. However, some research results in recent years indicate that the soils in some areas reaches the level of selenium enrichment. It is important to study the characteristics of selenium distribution in these areas for the research of a selenium-rich environment in Beijing and the development of selenium-rich land resources. OBJECTIVES To discuss the characteristics of selenium content in soil and crops, the source of selenium and the relationship between selenium in soil and other elements such as carbon, iron and phosphorus, and to evaluate the safety of selenium-rich land. METHODS Samples of 1297 topsoil, 25 sets of corn and corresponding root soil and 15 rock samples were collected from an eco-conserving division of the Daqinghe River watershed. The content of selenium in these samples was determined by atomic fluorescence spectrometry. Methods of correlation analysis and multivariate statistical analysis and GIS technology were used to study the characteristics of selenium content in soil and crops, the source of selenium enrichment, and the relationship between soil selenium and other elements such as carbon, nitrogen, phosphorus and sulfur, and the safety of selenium-rich land was evaluated. RESULTS The results showed that the soil selenium content ranged from 0.055 to 0.465mg/kg and that the background value was 0.257mg/kg, which show selenium-rich characteristics. 360.4km2 selenium-rich land resources was identified. The selenium content of corn ranged from 0.028 to 0.70mg/kg, and the geometric mean was 0.20mg/kg. 80% of the corn samples were selenium-rich products. The selenium-rich soil and the selenium-rich crops had the same spatial distribution, which indicated that the soil was an important source of selenium in crops. CONCLUSIONS Geological background and soil parent material are the key control factors affecting the distribution of selenium-rich land resources. Dark rock series of fluvial deposition are a crucial source of selenium in soil. The overall environmental quality of selenium-rich land is clean and safe, and only 0.2% of the area (3.23km2) contains soil heavy metal (Cd, Hg, Pb) content, which exceeds the level of risk management control. Due to these findings, attention needs to be paid during selenium-rich land development.

Endometrial cancer (EC) is one of the most common gynaecological tumours in the worldwide. Long non-coding RNA (lncRNA) nuclear enriched abundant transcript 1 (NEAT1) promotes cell proliferation, migration and invasion in EC cells. However, the molecular mechanisms of NEAT1 in EC have not been fully clarified. We conducted this study to reveal the function of NEAT1 in EC tissues and cell lines.