6,171 research outputs found

    Investigation of the potential role of checkpoint kinase2 in the regulation of gastric cancer stem cells

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    Purpose: To investigate the potential role of checkpoint kinase2 (CHEK2) in regulating gastric cancer stem cells.Methods: The abnormal features of cellular arrangements in early and advanced stages of gastric cancer were analysed using histology. Immunohistochemistry and Western blotting were used to evaluate the expressions of cancer stem cell markers CD44 and CHEK2 at different stages of gastric cancer.Results: When compared with the control tissue, the size of the cellular nucleus was enlarged as the gastric tumour developed to more advanced stages, and the expression of CD44 increased exponentially. The expression of CHEK2, a protein that regulates cell cycle and apoptosis was aberrantly up-regulated at the early stage of cancer, but as the tumour advanced, its expression became down-regulated.Conclusion: These results show that the higher expression of CHEK2 at the early stages of gastric cancer exerts control over gastric cancer stem cell proliferation. Thus, CHECK2 is a potential target for early treatment of gastric cancer.Keywords: Gastric cancer, CD44, CHEK2, Gastric cancer stem cell

    Poly[trans-diaquabis­[μ2-2-(pyridin-3-yl)acetato-κ2 N:O]­zinc]

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    In the title coordination polymer, [Zn(C7H6NO2)2(H2O)2]n, the ZnII cation is located on an inversion center and is coordinated by four pyridyl­acetate anions and two water mol­ecules in a distorted ZnN2O4 octa­hedral geometry. The pyridine-N and carboxyl­ate-O atoms of the pyridyl­acetate anion connect to two ZnII cations, forming a two-dimensional polymeric complex extending parallel to (212). Inter­molecular O—H⋯O and weak C—H⋯O hydrogen bonding is present in the crystal structure

    Analytical behavior of concrete-filled aluminum tubular stub columns under axial compression

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    [EN] This paper presents numerical investigation of circular concrete-filled aluminum tubular (CFAT) stub columns under axial compression. The numerical models were developed using the finite element (FE) package ABAQUS. The parameters commonly employed in conventional CFST FE modeling have been discussed in this study. The nonlinearities of concrete and aluminum materials and the interaction between concrete and aluminum tube were considered. Numerical models were validated against collected experimental data. The ultimate loads, load-axial strain relationship and failure modes from numerical simulations were compared with those from experiments. The verified FE model was used to analyze structural behavior of full histories of the corresponding load-deformation N-ε response. Load-deformation N-ε curves for both concrete and aluminum tube were also presented. Upon on validation of the FE models, additional structural performance data over a wide range of diameter-to-thickness ratios, aluminum grades and concrete strengths were generated for parametric studies. The influences of diameter-to-thickness ratios, aluminum grades and concrete strengths on the ultimate strength were presented in this paper.Zhao, H.; Wang, F.; Han, L. (2018). Analytical behavior of concrete-filled aluminum tubular stub columns under axial compression. En Proceedings of the 12th International Conference on Advances in Steel-Concrete Composite Structures. ASCCS 2018. Editorial Universitat Politècnica de València. 373-378. https://doi.org/10.4995/ASCCS2018.2018.7135OCS37337

    The impact of mouth breathing on dentofacial development: A concise review

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    Mouth breathing is one of the most common deleterious oral habits in children. It often results from upper airway obstruction, making the air enter completely or partially through oral cavity. In addition to nasal obstruction caused by various kinds of nasal diseases, the pathological hypertrophy of adenoids and/or tonsils is often the main etiologic factor of mouth breathing in children. Uncorrected mouth breathing can result in abnormal dental and maxillofacial development and affect the health of dentofacial system. Mouth breathers may present various types of growth patterns and malocclusion, depending on the exact etiology of mouth breathing. Furthermore, breathing through the oral cavity can negatively affect oral health, increasing the risk of caries and periodontal diseases. This review aims to provide a summary of recent publications with regard to the impact of mouth breathing on dentofacial development, describe their consistencies and differences, and briefly discuss potential reasons behind inconsistent findings

    Light-LOAM: A Lightweight LiDAR Odometry and Mapping based on Graph-Matching

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    Simultaneous Localization and Mapping (SLAM) plays an important role in robot autonomy. Reliability and efficiency are the two most valued features for applying SLAM in robot applications. In this paper, we consider achieving a reliable LiDAR-based SLAM function in computation-limited platforms, such as quadrotor UAVs based on graph-based point cloud association. First, contrary to most works selecting salient features for point cloud registration, we propose a non-conspicuous feature selection strategy for reliability and robustness purposes. Then a two-stage correspondence selection method is used to register the point cloud, which includes a KD-tree-based coarse matching followed by a graph-based matching method that uses geometric consistency to vote out incorrect correspondences. Additionally, we propose an odometry approach where the weight optimizations are guided by vote results from the aforementioned geometric consistency graph. In this way, the optimization of LiDAR odometry rapidly converges and evaluates a fairly accurate transformation resulting in the back-end module efficiently finishing the mapping task. Finally, we evaluate our proposed framework on the KITTI odometry dataset and real-world environments. Experiments show that our SLAM system achieves a comparative level or higher level of accuracy with more balanced computation efficiency compared with the mainstream LiDAR-based SLAM solutions

    How Authoritarian Leadership and Renqing Orientation Improve Tacit Knowledge Sharing

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    Following an indigenous approach and fairness theory, we develop a theoretical model to investigate when and how authoritarian leadership will improve tacit knowledge sharing (KS). Drawing on survey data from 309 Chinese employees, we examine whether authoritarian leadership will affect procedural fairness (PF) perception and interactional fairness (IF) perception, which in turn, will affect tacit KS; and examine whether leader renqing orientation (LRO) will moderate these mediation processes. Our data demonstrate that authoritarian leadership is negatively related to IF perception, which is positively related to tacit KS. Moreover, authoritarian leadership significantly increases tacit KS intention through PF perception only when LRO is high. Authoritarian leadership significantly decreases tacit KS intention through PF perception and IF perception only when LRO is low. Theoretical and practical implications are discussed
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