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Objective To develop a simple radiotherapy information system for the developments of multiple hospital areas.Methods Using C/S+B/S dual technology architecture,Visual Studio 2015+C#+HTML5+JavaScript+PostgreSQL9.5 were utilized as the programming tools selected for development.The two-dimensional barcode,intelligent IC card,identity card recognition,face recognition,speech synthesis and other technologies were integrated and applied in the radiotherapy process management.The normal business processes were designed by default automatic processing.Previous multi-step operation was simplified to single-key operation.Results System development was completed and implemented at the end of 2017,which connected the south and north hospital areas.The system not only resolved the problem that required the doctors to manually input or make telephone call for consulting patients' data,but also achieved paperless business process in different departments.The outstanding advantage was reflected in the aspects of intelligence and optimization.Approximately 95％ of the normal flows could be completed by single-key automatic processing,and the remaining 5％ requiring special operations (such as,modification or deletion,etc.) were prompted and restricted to ensure data security and system stability.Conclusion The application of this system improves the level of information management in the departments and saves the cost of supplies and human resources.
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Objective@#To develop a simple radiotherapy information system for the developments of multiple hospital areas.@*Methods@#Using C/S+ B/S dual technology architecture, Visual Studio 2015+ C#+ HTML5+ JavaScript+ PostgreSQL9.5 were utilized as the programming tools selected for development. The two-dimensional barcode, intelligent IC card, identity card recognition, face recognition, speech synthesis and other technologies were integrated and applied in the radiotherapy process management. The normal business processes were designed by default automatic processing. Previous multi-step operation was simplified to single-key operation.@*Results@#System development was completed and implemented at the end of 2017, which connected the south and north hospital areas. The system not only resolved the problem that required the doctors to manually input or make telephone call for consulting patients’ data, but also achieved paperless business process in different departments. The outstanding advantage was reflected in the aspects of intelligence and optimization. Approximately 95% of the normal flows could be completed by single-key automatic processing, and the remaining 5% requiring special operations (such as, modification or deletion, etc.) were prompted and restricted to ensure data security and system stability.@*Conclusion@#The application of this system improves the level of information management in the departments and saves the cost of supplies and human resources.
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Objective:Mineral trioxide aggregate (MTA),a wildly used pulp capping material,could affect the proliferation and differentiation of dental pulp cells.The aim of this study is to study the roles of Notch signalling and autophagy in MTA induced human dental pulp cells (hDPCs) proliferation promotions.Methods:Healthy human third molars were collected and hDPCs were isolated by a combined digestion of collagenase Ⅰ and dispase Ⅱ.MTA extracts of different concentrations (0.5,1.0,2.0,5.0,10.0 mg/mL) were used to test the cytotoxicity by cells counting kit (CCK-8) assays and to select the optimum concentration for hDPCs survival..Expressions of Notch1,Hes1,LC3Ⅱ / Ⅰ and p62 in wild type and MTA treated hDPCs were detected by western blotting.Results:MTA extracts in a concentration of 1.0 mg/mL exerted most profoundly promotion effects on the proliferation of hDPCs among all concentrations tested.MTA of high concentration (10 mg/mL) was toxically to cells.Compared with that of wild type hDPCs,the expressions of Notch1 and Hes1(P＜0.05),or p62 and LC3Ⅱ/Ⅰ (P＜0.01) in MTA treated hDPCs were significantly increased.Much lower expression of Notch1 was detected in hDPCs when autophagy was induced by Earle's balanced salt solution (EBSS) starvation for 24 h.Conclusions:MTA could up-regulated hDPCs proliferation with highly relevant in stimulating Notch1-Hes1 signalling and inhibition of autophagy.The study is supposed to provide new insight in unrevealing the mechanisms of MTA mediated dental pulp cells proliferation.
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Objective@#To investigate the clinical and immunological laboratory features, mutations in SH2D1A gene and SAP protein expression in four children of two families with X-linked lymphoproliferative disease type 1(XLP-1).@*Method@#Four patients (Family A including Patient 1 and Patient 2, Family B including Patient 3 and Patient 4) and their maternal relatives were enrolled in this study. The clinical manifestation, EBV infection status and chest CT scan were analyzed. The absolute and relative numbers of lymphocyte subsets, T lymphocyte proliferative response, SAP protein expression were assessed by flow cytometry. Quantification of signal joint TCR rearrangementexcision circle (sjTRECs), CDR3 spectratyping of TCRvβ and gene mutation of SH2D1A were detected by PCR based on genomic DNA or cDNA.@*Result@#Four male patients from two families were diagnosed with XLP-1. The ages of disease onset were more than 1 year, more than 1 year, more than 1 month and 6 months. The ages at diagnosis were nine years and ten months, sixteen years and eight months, fourteen years and ten months, four years and nine months. All patients had recurrent infections and EBV infection. Patients 1, 2, and 3 had agammaglobulinemia and Patient 4 had hypogammaglobulinemia. Chest CT scan showed all patients had atelectasis and pneumonia, and Patient 3 had bronchiectasis. Patient 3 was diagnosised as Burkitt lymphoma. For immunological function, all patients exhibited reduced CD4/CD8 ratios, increased numbers of exhausted T lymphocyte, decreased number of NK cell. The numbers of total B lymphocyte and naïve B lymphocyte were normal, but the number of memory B lymphocyte declined in all cases. Four patients′ copy numbers of sjTRECs were low and CDR3 spectratypings of TCRvβ showed mildly skewed. But their T lymphocyte proliferative response was normal. SAP protein expression in four cases were measured by flow cytometry. Two patients from Family A were absent and two patients from Family B showed decreased values. SH2D1A gene sequence analysis showed that the patients of Family A harbored a nonsense mutation (c.163 C>T; p.R55X) in exon 2. Their mother and two sisters were carriers. A missense mutation of SH2D1A gene (c.278 G>A; p.G93D) in exon 3 was found in the patients of Family B. The mother was carrier. Four patients remain survived, Patient 3 gave up treatment, other three patients received IVIG therapy.@*Conclusion@#Four patients with XLP-1 from two families characterized by agammaglobulinemia have an extreme vulnerability to Epstein-Barr virus (EBV) infection. The functions of T cell, B cell and NK cell are impaired at different stages. The detection of SAP protein and SH2D1A gene are the key methods for diagnosis of XLP-1.
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This paper presents a theoretical boundedness and convergence analysis of online gradient method for the training of two-layer feedforward neural networks. The well-known linear difference equation is extended to apply to the general case of linear or nonlinear activation functions. Based on this extended difference equation, we investigate the boundedness and convergence of the parameter sequence of concern, which is trained by finite training samples with a constant learning rate. We show that the uniform upper bound of the parameter sequence, which is very important in the training procedure, is the solution of an inequality regarding the bound. It is further verified that, for the case of linear activation function, a solution always exists and, moreover, the parameter sequence can be uniformly upper bounded, while for the case of nonlinear activation function, some simple adjustment methods on the training set or the activation function can be derived to improve the boundedness property. Then, for the convergence analysis, it is shown that the parameter sequence can converge into a zone around an optimal solution at which the error function attains its global minimum, where the size of the zone is associated with the learning rate. Particularly, for the case of perfect modeling, a strong global convergence result, where the parameter sequence can always converge to an optimal solution, is proved.