Analysis on the Necessity of Public Financial Security During the Process of Popularizing Upper Secondary Education in China

The paper analyzes the necessity of financial security as for expanding upper secondary education. Firstly, from the aspect of upper secondary education as a quasi-public product, financial security is the duty of government. Secondly, from the aspect of education equity, financial ensurence contributes to the increase of the education opportunity for school-age population, and then affects the popularity and equalization of upper secondary education. Finally, from the aspect of empirical analysis, upper secondary education financial input plays an important role for expanding upper secondary education

Logistics Forecasting Using Improved Fuzzy Neural Networks System

In this paper, we proposed and trained a fuzzy neural network system to estimate future logistics demand. The structure of neural network in the system is similar to that of BP network, except that here the nonlinear sigmoid functions in the networks are replaced by fuzzy reasoning process and wavelet functions respectively. Moreover, the trained network system is put into practical logistics demand forecasting. The experimental results show that it has good properties such as a fast convergence, high precision and strong function approximation ability and is good at predicting future logistics amount

Pyrosequencing with di-base addition for the identification of pathogenic bacteria

We proposed a novel method for the identification of pathogenic bacteria, in which a partial amplicon of the molecular markers was targeted by using pyrosequencing with di-base addition (PDBA). PDBA was conducted by synchronously adding di-base instead of one base into a reaction, and a set of highly sequence-specific encodings containing the type and the number of incorporated nucleotide(s) (peak height) were obtained. By comparing the encoding sizes of each isolate and the number of incorporated nucleotide(s) in each cycle, moving from first to last, various kinds of bacteria could be unambiguously identified. To verify its feasibility, we simulated PDBA results from thirteen isolates of Mycobacterium species and compared their encoding sizes and the number of incorporated nucleotide(s) in each cycle with those predicted by a homemade software. The thirteen isolates were successfully differentiated. We also targeted partial RNase P RNA gene (rnpB) of cultured M. paratubercuosis and M. celatum to differentiate the two isolates. By comparing the encoding size of each isolate and the number of incorporated nucleotide(s) in each cycle, the two Mycobacterium isolates were successfully differentiated. In conclusion, PDBA enabled to reliably identify pathogenic bacteria

Sequencing by Ligation with Double-Labeled Fluorescent Probes

Abstract. We have synthesized a set of double-labeled fluorescent probes and evaluated the performance of these fluorescent probes in sequencing by ligation (SBL). The results indicated that the ligation efficiency and specificity of double-labeled fluorescent probes was as higher as that of singe-labeled fluorescent probes. M oreover, d ouble-labeled f luorescent p robes y ielded a r emarkable i ncrease i n s ignal i ntensities co mpared t o s ingle-labeled f luorescent probes. I t could also reduce background and shorten exposition time compared to probes labeled with single FAM and FITC dyes. Thus, it could supplant singe-labeled fluorescent probes in SBL to increase sequencing accuracy. Keywords: sequencing by ligation (SBL), double-labeled fluorescent probe, single-labeled fluorescent probe, high-throughput sequencing. Introduction Over the past few years, massively parallel DNA sequencing platforms have become widely available, reducing the cost of DNA sequencing by over two orders of magnitude. S equencing b y l igation (SBL), o ne o f t he massively parallel D NA s equencing platforms, uses DNA ligase and either one-base-encoded probes or two-base-encoded probes to determine template sequence

Meta-Analysis of Randomized Controlled Trials on the Efficacy and Safety of Donepezil, Galantamine, Rivastigmine, and Memantine for the Treatment of Alzheimer’s Disease

To study the impact of donepezil, rivastigmine, galantamine, and memantine on cognitive, functional, behavioral, global changes and adverse effects in patients with mild, moderate and severe Alzheimer’s disease (AD), we screened the literature published before September 2017 in the Pubmed, Embase, Cochrane library and Web of Science Electronic databases according to the inclusion criteria. Thirty-six studies were finally determined from 1560 preliminary screened articles. The AD Assessment Scale-cognitive Subscale (ADAS-cog), AD Cooperative Study-Activities of Daily Living (ADCS-ADL), Neuropsychiatric Inventory (NPI), and Clinician’s Interview-Based Impression of Change Plus Caregiver Input scale (CIBIC+) were used as valid endpoints. Of the 36 trials included, meta-analyses of these placebo-control trials showed that there were significant differences between the donepezil, rivastigmine and placebo groups using ADAS-cog, ADCS-ADL, and CIBIC+. Meta-analyses of these placebo-controlled trials showed that there were significant differences between the galantamine and placebo groups using ADAS-cog, ADCS-ADL, NPI, and CIBIC+. These observations suggest that memantine is beneficial for stabilizing or slowing the decline in ADAS-cog and ADCS-ADL19 changes in AD patients. However, there was no significant effect according to the ADCS-ADL23, NPI, and CIBIC+ tests, which indicated that memantine treatment has no significant effect on these cognitive aspects of AD patients. Different effects of donepezil, rivastigmine, galantamine, or memantine on AD were found in this study. According to the results, we conclude that galantamine is effective in treating all aspects of AD and is the first choice for the treatment of AD. However, due to limited data, we should consider additional data to obtain more stable results

The use of COLD-PCR and pyrosequencing for sensitive detection of EGFR T790M mutation

A sensitive and convenient method for the detection of epidermal growth factor receptor (EGFR) T790M mutation in non-small cell lung cancer (NSCLC) patients with acquired resistance to tyrosine kinase inhibitors (TKIs) would be desirable to guide treatment strategy. Consequently, studies have focused on sensitive characterization of EGFR T790M mutation. Herein, two methods of co-amplification at lower denaturation temperature PCR (COLD-PCR) and pyrosequencing were combined (COLDPCR/ pyrosequencing) for detecting EGFR T790M mutation. Evaluation of mutation-containing dilutions revealed that the sensitivities of COLD-PCR/pyrosequencing and conventional PCR/pyrosequencing assays for the detection of the T790M mutation were 0.1 and 5%, respectively, indicating a 50-fold increase in sensitivity. When the T790M mutation in 20 clinical NSCLC samples who had relapsed under firstgeneration EGFR TKI were further determined using COLD-PCR/pyrosequencing and conventional PCR/pyrosequencing, the detection rates were 35% (7/20) and 25% (5/20), respectively. All patients who were positive for the T790M mutation with conventional PCR/pyrosequencing were also found to be positive with COLD-PCR/pyrosequencing. The discordant cases were 2 samples with no T790M mutation detected with conventional PCR/pyrosequencing, but which were positive with COLD-PCR/pyrosequencing. COLD-PCR/pyrosequencing is a sensitive and cost-effective tool for detecting the T790M mutation which will permit an improvement of therapeutic management