This research adopted silt as the sample,and the five highest hydrogen production performing strains contained in the sample were isolated. The strain whose hydrogen production was the highest was identified as Enterobacter cloacae by the analysis of 16S rDNA sequencing and comparison. It is showed by Plackett-Burman Experimental Design that only glucose,citric buffer and reducing agent had significant effects on hydrogen production by Enterobacter cloacae FML-C1. The path of steepest ascent was undertaken to approach the optimal response region of those three factors. Central Composite Design(CCD) and Response Surface Methodology(RSM) were employed to investigate the interaction of the variables and to ascertain the optimal values of the factors,which finally led to the maximum hydrogen production(VH2) . The theoretical optimal medium conditions were:glucose 21.5 g/L,citric buffer 13.6 mL/L,reducing agent10.0 mL/L. The five tentative tests matched this model well. The final VH2 was up to 2347.4 mL/L,which was 127.42% enhanced in comparison to the original. The result shows that PB experiment design and RSM analytical method work well in selecting factors which have significant influences on the hydrogen production and,moreover,achieve the ideal optimal result.

Strains from the cellulose-containing environment were collected. Primary screening(by filter-paper Hutchison solid culture medium and sodium carboxymethylcellulose solid culture medium) and reelection(by filter-paper inorganic salt culture medium and sodium carboxymethylcellulosc Congo red coltnre medium) indicated that five strains obtained were best suited for high performance cellulose degradation. Determination of sodium carboxymethylcellulose activity(CMCA) and filter paper activity(FPA) was accomplished for each of the five. The strongest of the five in CMCA and FPA was applied to the production of cellulose bioethanol by separate hydrolysis and fermentation(SHF) and simultaneous saccharification and fermentation(SSF) respectively.

Purpose: The purpose of this study was to use data mining methods to establish a simple and reliable predictive model based on the risk factors related to gallbladder stones (GS) to assist in their diagnosis and reduce medical costs. Materials and Methods: This was a retrospective cross-sectional study. A total of 4215 participants underwent annual health examinations between January 2019 and December 2019 at the Physical Examination Center of Shengjing Hospital Affiliated to China Medical University. After rigorous data screening, the records of 2105 medical examiners were included for the construction of J48, multilayer perceptron (MLP), Bayes Net, and Naïve Bayes algorithms. A ten-fold cross-validation method was used to verify the recognition model and determine the best classification algorithm for GS. Results: The performance of these models was evaluated using metrics of accuracy, precision, recall, F-measure, and area under the receiver operating characteristic curve. Comparison of the F-measure for each algorithm revealed that the F-measure values for MLP and J48 (0.867 and 0.858, respectively) were not statistically significantly different (p>0.05), although they were significantly higher than the F-measure values for Bayes Net and Naïve Bayes (0.824 and 0.831, respectively; p<0.05). Conclusion The results of this study showed that MLP and J48 algorithms are effective at screening individuals for the risk of GS.The key attributes of data mining can further promote the prevention of GS through targeted community intervention, improve the outcome of GS, and reduce the burden on the medical system.

Ziziphi Spinosae Semen (ZSS), a traditional Chinese medicine, is used in clinics for the treatment ofinsomnia in China and other Asian countries. Herein, we described for the first time a comparative pharmacokinetics study of the six major compounds of ZSS in normal control (NC) and para-chlor-ophenylalanine (PCPA)-induced insomnia model (IM) rats that were orally administered the aqueous extract of ZSS. An ultra-high-performance liquid chromatography coupled with quadrupole orbitrap mass (UHPLC-Q-Orbitrap-MS) method was developed and validated for the simultaneous determination of coclaurine, magnoflorine, spinosin, 6'''-feruloylspinosin, jujuboside A (JuA), and jujuboside B (JuB) in ZSS in rat plasma. The established approach was successfully applied to a comparative pharmacokinetic study. The systemic exposures of spinosin and 6'''-feruloylspinosin were decreased in the IM group compared to the NC group, while plasma clearance (CL) was significantly increased. The Tmax values of JuA and JuB in IM rats were significantly lower than those in NC rats. The T1/2 of JuA in the IM group was significantly accelerated. The pharmacokinetic parameters of coclaurine and magnoflorine were not evidently affected between the two groups. These results indicate that the pathological state of insomnia altered the plasma pharmacokinetics of spinosin, 6'''-feruloylspinosin, JuA, and JuB in the ZSS aqueous extract, providing an experimental basis for the role of ZSS in insomnia treatment. The comparative pharmacokinetics-based UHPLC-Q-Orbitrap-MS using full-scan mode can therefore provide a reliable and suitable means for the screening of potentially effective substances applied as quality markers of ZSS.

Deep brain stimulation(DBS)has become an established technique for the treatment of neurodegenerative diseases such as Parkinson disease(PD).This technique significantly improves the clinical symptoms of PD patients by directly stimulating specific basal ganglia nuclei with implanted electrodes,but its physiological mechanism of action remains unclear.The control mechanisms of eye movement involve the cerebral cortex and basal ganglia,which are extensively overlapped with the targeted network of DBS,but there are relatively few studies on the combined analysis of DBS and eye movement.This article explores the interaction mechanism between DBS and eye movement control to deeply understand the influence of DBS on eye movement function,which is of great significance for optimizing stimulation parameters and improving therapeutic effect.In addition,these studies provide new perspectives for revealing the mechanism of action of DBS and the pathophysiology of PD.

With the increasing cost of drug development and clinical trials, it is of great value to make full use of all kinds of data to improve the efficiency of drug development and to provide valid information for medication guidelines. Model-based meta-analysis (MBMA) combines mathematical models with meta-analysis to integrate information from multiple sources (preclinical and clinical data, etc.) and multiple dimensions (targets/mechanisms, pharmacokinetics/pharmacodynamics, diseases/indications, populations, regimens, biomarkers/efficacy/safety, etc.), which not only provides decision-making for all key points of drug development, but also provides effective information for rational drug use and cost-effectiveness analysis. The classical meta-analysis requires high homogeneity of the data, while MBMA can combine and analyze the heterogeneous data of different doses, different time courses, and different populations through modeling, so as to quantify the dose-effect relationship, time-effect relationship, and the relevant impact factors, and thus the efficacy or safety features at the level of dose, time and covariable that have not been involved in previous studies. Although the modeling and simulation methods of MBMA are similar to population pharmacokinetics/pharmacodynamics (Pop PK/PD), compared with Pop PK/PD, the advantage of MBMA is that it can make full use of literature data, which not only improves the strength of evidence, but also can answer the questions that have not been proved or can not be answered by a single study. At present, MBMA has become one of the important methods in the strategy of model-informed drug development (MIDD). This paper will focus on the application value, data analysis plan, data acquisition and processing, data analysis and reporting of MBMA, in order to provide reference for the application of MBMA in drug development and clinical practice.

Objective To grasp the main environmental factors affecting the growth of Astragalus membranaceus(Fisch.)Bge.var.mongholicus(Bge.)Hsiao;To predict the distribution of suitable areas of Astragalus membranaceus(Fisch.)Bge.var.mongholicus(Bge.)Hsiao in Shanxi Province;To provide references for the rational distribution of the resources in Shanxi Province.Methods This study utilized the sample point longitude and latitude information collected in the"Fourth Survey of Chinese Materia Medica Resources"database in Shanxi Province.The data were supplemented by searching the China Digital Herbarium and retrieving related literature records.347 sample points distribution data and environmental factors were added to the MaxEnt model.The main environmental factors and contribution rates affecting the geographical distribution of Astragalus membranaceus(Fisch.)Bge.var.mongholicus(Bge.)Hsiao were screened out.The ArcGIS software was used to divide the ecological suitable area of Astragalus membranaceus(Fisch.)Bge.var.mongholicus(Bge.)Hsiao in Shanxi Province.Results The area under the ROC curve of the established MaxEnt model was 0.909,indicating that the model prediction results were accurate.The model screened 19 environmental factors.Among them,climate factor was the most important environmental factor,followed by biological factor and topographic factor,and soil factor had the least influence.The potential suitable areas of Astragalus membranaceus(Fisch.)Bge.var.mongholicus(Bge.)Hsiao in Shanxi Province were mainly distributed in the northern mountainous areas,presenting a trend of gradually decreasing suitability levels from north to south.Under the current climate conditions,the most suitable area for Astragalus membranaceus(Fisch.)Bge.var.mongholicus(Bge.)Hsiao in Shanxi Province was 15 424 km2,the suitable area was 19 856 km2,the sub suitable area was 59 436 km2,and the unsuitable area was 61 894 km2.Conclusion Based on MaxEnt model and ArcGIS software,this study predicts the distribution of suitable areas of Astragalus membranaceus(Fisch.)Bge.var.mongholicus(Bge.)Hsiao in Shanxi Province,which has certain reference value for the protection and rational distribution of Astragalus membranaceus(Fisch.)Bge.var.mongholicus(Bge.)Hsiao resources in Shanxi Province.

Objective To establish ecological suitability zone of Forsythia suspensa(Thunb.)Vahl in Shanxi Province;To study the quality regionalization of Forsythia suspensa(Thunb.)Vahl from different producing areas in Shanxi Province;To provide reference for reasonable planting and wild tending of Forsythia suspensa(Thunb.)Vahl.Methods Maximum entropy(MaxEnt)model and ArcGIS software were used to study the ecological suitability of Forsythia suspensa(Thunb.)Vahl in Shanxi Province;By screening the main environmental factors and combining them with the content of forsythoside and forsythoside A in Forsythia suspensa(Thunb.)Vahl of different regions,a quality zoning of Forsythia suspensa Thunb.Vahl medicinal materials in Shanxi Province based on forsythoside,forsythoside A and environmental factors was constructed.Results The ecological suitable areas of Forsythia suspensa Thunb.Vahl in Shanxi Province were mainly distributed in the southern part of Shanxi Province,mainly in Linfen,Yuncheng,Changzhi,and Jincheng.The general contents of forsythoside and forsythoside A in the Forsythia suspensa(Thunb.)Vahl medicinal material were gradually reduced from southern part to northern part of Shanxi Province.The comprehensive quality was high in southern part of Shanxi Province,mainly in Linfen,Changzhi,Yuncheng and Jincheng.Conclusion The results of this study are consistent with the actual survey.The southern part of Shanxi province is a suitable planting area for high quality Forsythia suspensa(Thunb.)Vahl,which provides a reference for the standardized planting and wild tending of Forsythia suspensa(Thunb.)Vahl.

ObjectiveTo optimize and establish a multiplex polymerase chain reaction （PCR） system to simultaneously identify Ziziphi Spinosae Semen （ZSS），Hovenia acerba semen （HAS），and Ziziphi Mauritianae Semen （ZMS）， etermine their content to solve the problem of adulteration of ZSS pieces and its preparations. MethodAfter the analysis and comparison of the internal transcribed spacer （ITS） sequence differences of ZSS and its adulterants，specific single nucleotide polymorphism （SNP） sites were found，and specific primers for identification were designed. The samples of ZSS，HAS， and ZMS from different sources were specifically amplified under the conditions of optimized annealing temperature，the number of cycles， and concentration of primers，as well as different polymerases and PCR systems after evaluation. Identification was carried out according to the size of specific amplification bands，and the lower limit of detection （LOD） and adulteration LOD were studied. ResultWhen the annealing temperature was 63 ℃ and the number of cycles was 23，549，169，389 bp specific bands were amplified from ZSS，HAS， and ZMS. The lower LOD of this method was 0.24 ng and 1.2 ng for ZSS and HAS， respectively. The adulteration LOD for ZSS，HAS， and ZMS was 0.5%，2%， and 2% respectively. ConclusionThe established multiplex allele-specific PCR identification method can accurately identify ZSS，HAS， and ZMS at the same time，which can provide a basis for solving the problem of adulteration of ZSS and references for controlling the quality，security， and clinical application of ZSS.