Clinical Distribution and Drug Resistance of 224 Strains of Pseudomonas Aeruginosa

Objective: To provide evidence for a rational and effective prevention and treatment of Pseudomonas aeruginosa, the clinical characteristics and the resistance to various antibiotics of were investigated.Methods：A retrospective analysis of 224 strains of Pseudomonas aeruginosa isolated from various specimens from various clinical departments of our hospital (April 1, 2018 to June 31, 2019) were conducted. Identification and drug susceptibility test of isolated strains was performed using a fully automatic bacterial identification analyzer (MicroScan WalkAway-96 plus), and data analysis was performed using WH0NET5.6 software. Result：Among all the bacteria isolated in our hospital during the above period, Pseudomonas aeruginosa accounted for 10.09% of them all and 12.57% of Gram-negative bacilli, respectively. These isolates were mainly derived from sputum specimens (68.75%), mainly from male patients (70.54%), and mostly 61-70 (27.23%) or 51-60 (22.77%) years old. Pseudomonas aeruginosa isolates are mainly from Rehabilitation Ward, ICU, and Liver Transplantation Unit, accounted for 29.91%, 12.95% and 10.27% of all isolates, respectively. The sensitivity of Pseudomonas aeruginosa to various antibacterial drugs, in the order of high to low were carbapenems, aztreonam, quinolones, cephalosporins, piperacillin/ tazobactam, aminoglycoside, with a lowest resistance rate (2.4%) to amikacin and a highest resistance rate to imipenem (33.0%). Conclusion：The isolation rate of Pseudomonas aeruginosa was relatively stable during the study period, and among all the P. aeruginosa detected, most of them were from the respiratory secretions of elderly male patients. The resistance rate of Pseudomonas aeruginosa isolates to various antibiotics is mainly within 30%. Clinical units such as Rehabilitation Ward, ICU, and Liver Transplantation Unit have a high detection rate, therefore, these departments should be monitored in a focused manner. Our research provide a scientific basis for the rational use of antibiotics and a better control of Pseudomonas aeruginosa infection

Bidding Strategy to Support Decision-Making Based on Comprehensive Information in Construction Projects

© 2016 Ru Liang et al. This paper develops a unified method to support contractor for bidding selection in construction projects. A cross-functional contractor with 28 candidate units distributed in the three departments (construction units, design units, and suppliers) is used as an example. This problem is first formulated as a 0-1 quadratic programming problem through optimizing individual performance and collaborative performance of the candidate units based on individual information and collaborative information. Then, a multiobjective evolutionary algorithm is designed to solve this problem and a bidding selection problem for a major bridge project is used to demonstrate our proposed method. The results show that the decision-maker (DM) obtains a better contractor if he pays more attention to collaborative performance

A Multi-turn Machine Reading Comprehension Framework with Rethink Mechanism for Emotion-Cause Pair Extraction

Emotion-cause pair extraction (ECPE) is an emerging task in emotion cause analysis, which extracts potential emotion-cause pairs from an emotional document. Most recent studies use end-to-end methods to tackle the ECPE task. However, these methods either suffer from a label sparsity problem or fail to model complicated relations between emotions and causes. Furthermore, they all do not consider explicit semantic information of clauses. To this end, we transform the ECPE task into a document-level machine reading comprehension (MRC) task and propose a Multi-turn MRC framework with Rethink mechanism (MM-R). Our framework can model complicated relations between emotions and causes while avoiding generating the pairing matrix (the leading cause of the label sparsity problem). Besides, the multi-turn structure can fuse explicit semantic information flow between emotions and causes. Extensive experiments on the benchmark emotion cause corpus demonstrate the effectiveness of our proposed framework, which outperforms existing state-of-the-art methods.Comment: Accepted to COLING 202

Combined Detection of Mean Platelet Volume and Immunoglobins as a Strategy for the Diagnosis of Systemic Lupus Erythematosus

Objective:To explore the possibility of diagnosing and monitoring patients with systemic lupus erythematosus (SLE) using the combination of mean platelet volume (MPV) and routine immunoglobulin test. Method:116 patients with SLE were divided into 3 groups according to their clinical characteristics, including 29 patients with renal impairment, 44 cases of active stage and 43 cases of inactive patients. 40 healthy subjects were randomly selected as controls. Subjects were tested for routine blood test and plasma Immunoglobins, such as IgG, IgA, IgM, C3, C4, CH50, CRP. The results were analyzed and the characteristics of each group of subjects were determined, the correlation between test results and diagnosis were studied. Result: In comparison to the control group, the serum level of MPV, C3 and C4 were decreased (P<0.05), and C reactive protein level was elevated (P<0.001) in the three groups of SLE patients. The IgG level in active and inactive SLE patients was increased (P<0.0001), CH50 level was decreased in patients with inactive SLE (P<0.05), IgA level of active SLE subjects was found to be elevated (P<0.05), IgM in patients with renal impairment was decreased (P<0.05). Other than that, no other significant characteristic were found. Conclusion: The pathogenesis of SLE is a complex process involving multiple factors. The changes of MPV, IgG, IgA, IgM, C3, C4, CH50 and CRP in SLE patients are characteristic parameters. The combination of the above indicators can help to determine the diagnosis and staging of SLE. The timely diagnosis and treatment of SLE patients has important clinical significance in protecting the organ function of SLE patients and improving the prognosis

In Vitro Antibacterial Activity of Galla Chinensis Combined with Different Antibacterial Drugs against Carbapenem-Resistant E.Coli

Objective: To evaluate the antibacterial effects of meropenem and levofloxacin respectively combined with Galla chinensis on carbapenem-resistant Escherichia coli in vitro. Methods： The protocol was designed with checkerboard method and the carbapenem-resistant E.coli was isolated in our hospital. The minimum inhibitory concentrations(MICs) of G. chinensis alone and combined with 2 antimicrobial agents against carbapenem-resistant E.coli were determined by broth dilution method and the fractional inhibitory concentration index (FICI) was calculated according to MICs results. Result： the combined use of G. chinensis and meropenem (or levofloxacin) significantly decreased both MIC50 and MIC90; After the combination of G. chinensis and meropenem, the synergistic effect was 86.7%, and the additive effect was 13.3%, no irrelevant and antagonistic effects. After combined use of G. chinensis and levofloxacin, the synergistic effect was 66.7%, and the additive effect was 33.3%. No irrelevant and antagonistic effects. Conclusion： Galla chinensis combined with meropenem or levofloxacin has synergistic and additive antibacterial effect, with certain combined antibacterial activity

NAT2 Involed in the Susceptibility to Antituberculosis Drug-Induced Liver Injury

Objective: To investigate whether the N-acetyltransferase 2 (NAT2) gene is involved in the development of susceptibility to antituberculosis drug-induced liver damage (ATDLI) in patients with pulmonary tuberculosis in the Han nationality. Methods: We retrospectively analyzed 300 cases of tuberculosis patients without liver damage (control group) and 221 cases of tuberculosis patients with liver damage after antituberculosis treatment (case group). After antituberculosis treatment, genetic polymorphisms of NAT2 were analyzed in those patients using MassARRAY method. Results: Of the 10 tagged SNPs selected, In the promoter area of NAT2, the frequencies of T allele in rs4646243 and A allele in rs4646246 were signifcantly higher in the patients with ATDLI than controls (0.569 vs. 0.483, p=0.0062 and 0.567 vs 0.487, p=0.0103). The A allele of rs1115784 in the intron area showed a significant association with the development of ATDLI (0.389 vs 0.305, p = 0.0043). The frequencies of the mutated genes T and A in rs1041983 and rs1799930 in the second exon region were significantly higher than those in the control group (0.491 vs 0.360, p<0.00001 and 0.336 vs 0.212, respectively; p<0.00001). Two monomer domains were found in the 10 tag SNP sites, haplotype ht [TGAA] in monomeric domain 1 and haplotype ht [TAG] in monomeric domain 2, both were signifcantly more likely to be detected in the liver injury group than in the control group(p=0.0038, p<0.001, respectively). Two haplotypes were also found on the NAT2 gene: haplotype ht [CGGG] in monomeric domain 1 and ht [CGG] in block 2, and their presence means a lower risk of liver damage. Conclusion: NAT2 genotypes might have signifcant association with the risk of ATDLI in the Chinese Han nationality. By detecting the NAT2 gene and its haplotype, we can screen patients with a higher risk of liver damage before anti-TB treatment and take measures for the protection of patients

Association of Genetic Polymorphism of GSTM1 and GSTT1 with the Susceptibility to Antituberculosis Drug-induced Hepatotoxicity in Chinese Population

Objective To investigate the relationship between the polymorphism of glutathione S transferase M1, T1(GSTM1, GSTT1) gene and the susceptibility to antituberculosis drug induced hepatotoxicity (ATDH) in patients with tuberculosis. Methods GSTM1 and GSTT1 gene polymorphisms in patients with or without liver toxicity after antituberculous treatment were analyzed using multiple PCR method. Results In ATDH group and control group, the proportion of GSTM1 gene deletion was 58.0% and 50.7%respectively, and the difference was not statistically signifcant (OR=1.322, 95%CI=0.921~1.878), the frequencies of GSTT1 deletion were 46.3% and 49.3%, respectively, and there was no signifcant difference between them. There was no signifcant difference in frequency of GSTM1 and GSTT1 variation between case group and control group (P> 0.05), and no synergistic effect of those two gene polymorphism were detected in the occurrence of antituberculosis drug-induced hepatotoxicity. Conclusion The polymorphisms of GSTM1 and GSTT1 genes may not be associated with the risk of ATDH

Two-Photon Rabi Splitting in a Coupled System of a Nanocavity and Exciton Complexes

Two-photon Rabi splitting in a cavity-dot system provides a basis for multi-qubit coherent control in quantum photonic network. Here we report on two-photon Rabi splitting in a strongly coupled cavity-dot system. The quantum dot was grown intentionally large in size for large oscillation strength and small biexciton binding energy. Both exciton and biexciton transitions couple to a high quality factor photonic crystal cavity with large coupling strengths over 130 $\mu$eV. Furthermore, the small binding energy enables the cavity to simultaneously couple with two exciton states. Thereby two-photon Rabi splitting between biexciton and cavity is achieved, which can be well reproduced by theoretical calculations with quantum master equations.Comment: 12 pages, 4 figure

Enhanced strong interaction between nanocavities and p-shell excitons beyond the dipole approximation

Large coupling strengths in exciton-photon interactions are important for the quantum photonic network, while strong cavity–quantum dot interactions have been focused on s-shell excitons with small coupling strengths. Here we demonstrate strong interactions between cavities and p-shell excitons with a great enhancement by the in situ wave-function control. The p-shell excitons are demonstrated with much larger wave-function extents and nonlocal interactions beyond the dipole approximation. Then the interaction is tuned from the nonlocal to the local regime by the wave function shrinking, during which the enhancement is obtained. A large coupling strength of 210     μ eV has been achieved, indicating the great potential of p-shell excitons for coherent information exchange. Furthermore, we propose a distributed delay model to quantitatively explain the coupling strength variation, revealing the intertwining of excitons and photons beyond the dipole approximation