Objective:To study the cause of the medical disturbances and its influential factors, to formulate the corresponding prevention strategy and measures. Methods:Total 32 medical disturbances in a hospital were an-alyzed and evaluated. Results:The number of medical disturbances in this hospital was declining. The department of maternity, orthopedic, pediatrics had the most medical disturbances. The compensation for the patients with med-ical disturbances was 2. 18 times as the patients without medical disturbances. Conclusion:It should be clear the causes of the medical disturbances and countermeasures should be proposed according to the reasons, rationally re-solve doctor-patient conflicts.

Objective:To observe whether there is abnormal expression of tetrodotoxin-resistant (TTX-R)hNa v1.8 channel protein in demyelinated fibers of the affected nerves in patients with trigeminal neuralgia(TN), and to explore the relationship between ectopic discharges and TN.Methods: Six affected inferior alveolar nerves obtained from patients with idiopathic TN were studied. One great auricular nerve and one normal inferior alveolar nerve were used,which were obtained from patients undergoing combined radical neck dissection with glossectomy (negative control) and mandibulectomy (normal controls) . One rat spinal nerve was used as positive control. Immunohistochemical method and electron microscope were used to observe the expression of TTX-R hNa v1.8 channel protein in all groups. Results: Strong expression of hNa v1.8 channel protein was found in the demyelinated fibers of the affected nerves in patients with TN, weak expression in the neuraxon of rat spinal nerve,and none in the normal inferior alveolar nerve and the great auricular nerve. Conclusion: Abnormal expression of hNa v1.8 channel protein in the demyelinated fibers in patients with TN may play an important role in the pathogenesis of TN.

The results of analyzing the managerial characteristics and complexity of product cooperative development suggest that task planning is an important aspect for process management of product cooperative development and the method for planning tasks should be able to model the dependency between tasks and iterations during the development process. In this paper, a DSM-based method and its corresponding optimization algorithms are developed. At first the coupled task sets and uncoupled task setsare identified, and the tasks are then optimized by the corresponding algorithms. The optimal tasks plan will reduce the development time and cost. Considering the practical requirements in real world, a Multilayer DSM is proposed, and its information communication techniques between DSM and traversing principle are described in details.

Objective:To study the epidemiological characteristics and spatio-temporal aggregation of hemorrhagic fever with renal syndrome (HFRS) in Shandong Province, and to provide reference for formulating reasonable prevention and control strategies.Methods:Retrospective analysis was used to collect HFRS surveillance data and confirmed case data in Shandong Province from 2017 to 2020 in the "China Disease Prevention and Control Information System Infectious Disease Surveillance System". Geoda 1.18 software was used for global and local spatial autocorrelation analysis, SaTScan 9.6 software was used for spatio-temporal scanning analysis, and ArcGis 10.7 software was used for map drawing and visual display.Results:A total of 3 753 cases of HFRS were reported in Shandong Province from 2017 to 2020, including 56 deaths. The annual incidence rate was 1.26/100 000, 1.22/100 000, 0.75/100 000 and 0.53/100 000, respectively, with an average annual incidence rate of 0.94/100 000. The incidence of HFRS was obviously seasonal, mainly concentrated in autumn and winter from October to December, accounting for 50.41% (1 892/3 753). The age of onset was mainly 30-59 years old, accounting for 61.68% (2 315/3 753). The male to female ratio was 2.76 ∶ 1.00 (2 756 ∶ 997). The occupation distribution was mainly farmers, accounting for 81.99% (3 077/3 753). The global spatial autocorrelation analysis showed that HFRS showed spatial aggregation areas in each year from 2017 to 2020 (Moran' I = 0.38, 0.33, 0.59, 0.46, Z = 7.47, 7.23, 10.69, 8.66, P < 0.001). The local spatial autocorrelation analysis showed that "high-high" aggregation areas were mainly concentrated in central and southeast of Shandong Province, while "low-low" aggregation areas were mainly concentrated in northwest of Shandong Province. Spatio-temporal scanning analysis revealed 1 type Ⅰ agglomerations and 2 type Ⅱ aggregation areas. The type Ⅰ aggregation areas occurred from October to November 2018, covering 22 counties (districts) of 5 cities in Qingdao, Yantai, Weifang, Weihai and Rizhao. The first type Ⅱ aggregation area occurred from October to November 2017, involving 23 counties (districts) of 8 cities in Jinan, Zibo, Zaozhuang, Weifang, Jining, Tai 'an, Rizhao and Linyi. The second type Ⅱ aggregation area occurred in Jinxiang County, Jining City from February to March 2017. Conclusion:The incidence of HFRS in Shandong Province from 2017 to 2020 has obvious spatio-temporal aggregation, and the hot spots are concentrated in central and southeast of Shandong Province, which should be regarded as a key area for prevention and control of HFRS.

To investigate Streptococcus suis ( S.suis) isolated from patients in Shandong province using genomic epidemiology and pathogenologic analysis. To provide the foundation to establish reasonable and accurate prevention and control measures of human S. suis infection. Molecular typing, whole genome phylogenetic tree, virulence gene typing, antibiotic resistance profile and mobile genetic elements carrying antibiotic resistance genes of isolated S. suis strains were investigated. The pathogenicity of isolated strains was also evaluated by comparing their capacity to induce pro-inflammatory cytokine production in vitro. S. suis infections in Shandong province were predominantly due to serotype 2 and sequence type 1 strains. The major symptoms were meningitis. The studied strains could be divided into five lineages. All strains belong to highly pathogenic type in Shandong province,Strains from lineage 2 possessed higher capacity to stimulate pro-inflammatory cytokine production than other strains did, even though other strains belong to highly pathogenic strains. In addition, multiple antibiotic resistance genes and corresponding mobile genetic elements werewidespread in S. suis strains from Shandong province, except strains from lineage 3. High diversities in genome, evolutionary path and pathogenicity of S. suis strains from Shandong province were revealed. It was necessary to surveillant the S. suis strain in genomic level.

To investigate Streptococcus suis ( S.suis) isolated from patients in Shandong province using genomic epidemiology and pathogenologic analysis. To provide the foundation to establish reasonable and accurate prevention and control measures of human S. suis infection. Molecular typing, whole genome phylogenetic tree, virulence gene typing, antibiotic resistance profile and mobile genetic elements carrying antibiotic resistance genes of isolated S. suis strains were investigated. The pathogenicity of isolated strains was also evaluated by comparing their capacity to induce pro-inflammatory cytokine production in vitro. S. suis infections in Shandong province were predominantly due to serotype 2 and sequence type 1 strains. The major symptoms were meningitis. The studied strains could be divided into five lineages. All strains belong to highly pathogenic type in Shandong province,Strains from lineage 2 possessed higher capacity to stimulate pro-inflammatory cytokine production than other strains did, even though other strains belong to highly pathogenic strains. In addition, multiple antibiotic resistance genes and corresponding mobile genetic elements werewidespread in S. suis strains from Shandong province, except strains from lineage 3. High diversities in genome, evolutionary path and pathogenicity of S. suis strains from Shandong province were revealed. It was necessary to surveillant the S. suis strain in genomic level.

Objective:To establish virus culture method and full genome sequencing method for severe acute respiratory syndrome coronavirus (2019-nCoV), and to illuminate the variation of 2019-nCoV.Methods:The pharyngeal swab specimens were inoculated into Vero-E6 cells for isolation, and the cytopathic effect were observed day by day, and the result of virus isolation were confirmed by Real-Time RT-PCR. Some isolated viruses were diluted 10 times to detect the virus titer. Full-genome of 2019-nCoV was sequenced with the whole genome capture technology and next generation sequencing technology. Phylogenetic analysis and molecular characterization for obtained 2019-nCoV sequences were undertaken.Results:Twenty-two 2019-nCoV strains were isolated with Vero-E6 cell line in the Biosafety Level-3 Laboratory (BSL-3). Eighteen full-genome sequences obtained (almost 29 000 nucleotide) were analyzed with 99.94%~100% identity and 28 nucleotides and 20 amino acids variations. Phylogenetic analysis showed that the 2019-nCoV sequences belonged to different clades, including clade S and clade L with Europe lineage L. I and Europe lineage L. II.1. Furthermore, 5 of 18 2019-nCoV harbor the D614G mutation.Conclusions:2019-nCoV were successfully isolated with Vero-E6 cells, and partially illuminated the phylogenetic characteristics, which provided a basis for subsequent drug screening and biological characteristics research. Continuous monitoring and analysis of the sequences of new cases would be vital to understand the genetic evolution and rates of substitution of the 2019-nCoV.

Alzheimer's disease (AD) is associated with the impairment of white matter (WM) tracts. The current study aimed to verify the utility of WM as the neuroimaging marker of AD with multisite diffusion tensor imaging datasets [321 patients with AD, 265 patients with mild cognitive impairment (MCI), 279 normal controls (NC)], a unified pipeline, and independent site cross-validation. Automated fiber quantification was used to extract diffusion profiles along tracts. Random-effects meta-analyses showed a reproducible degeneration pattern in which fractional anisotropy significantly decreased in the AD and MCI groups compared with NC. Machine learning models using tract-based features showed good generalizability among independent site cross-validation. The diffusion metrics of the altered regions and the AD probability predicted by the models were highly correlated with cognitive ability in the AD and MCI groups. We highlighted the reproducibility and generalizability of the degeneration pattern of WM tracts in AD.
Humans ; White Matter/diagnostic imaging* ; Diffusion Tensor Imaging/methods* ; Alzheimer Disease/complications* ; Reproducibility of Results ; Cognition ; Cognitive Dysfunction/complications* ; Brain/diagnostic imaging*