Background:The type 2 diabetes mellitus(T2DM)pharmacodynamic study of various parts of Schisandra sphenanthera was conducted in the previous stage,and it was found that dichloromethane extracted part(SDP)had a signifi...Background:The type 2 diabetes mellitus(T2DM)pharmacodynamic study of various parts of Schisandra sphenanthera was conducted in the previous stage,and it was found that dichloromethane extracted part(SDP)had a significant hypoglycemic effect.Therefore,the components of SDP were analyzed,and the specific mechanism of its anti-T2DM was explored.Methods:We used a high-fat,high-sugar diet in combination with streptozotocin to induce a T2DM rat model,and the model rats were divided into two groups according to body weight and blood glucose.Triglyceride,oral glucose tolerance test,fasting blood glucose,low density lipoprotein cholesterol,superoxide dismutase,insulin,glycated hemoglobin,total cholesterol,nonesterified free fatty acids,alanine aminotransferase,high-density lipoprotein cholesterol,aspartate aminotransferase,malondialdehyde,and glutathione peroxidase were measured,organ indices were calculated,and pathological sections of pancreas and liver were observed.The 16S rRNA V3–V4 region of intestinal flora was sequenced to explore the effect of SDP on biochemical indicators and intestinal flora.Based on the above indicators,the anti-T2DM mechanism of SDP in Schisandra sphenanthera was analyzed.Results:After six weeks of administration,the biochemical indices of diabetic rats were diminished compared to the control group.And SDP could significantly increase the gut microbialα-diversity index,resulting in significant changes in the flora of T2DM rats,with increased richness and diversity,reduced harmful flora,and significantly back-regulated the levels of acetic acid,propionic acid,and butyric acid.Conclusion:SDP can improve the symptoms associated with elevated blood glucose,dyslipidemia,elevated fasting insulin levels,and damaged glucose tolerance in rats.SDP against T2DM may be through the control of intestinal flora to normalize and exert anti-diabetic effect;its main active components may be lignans and terpenoids.展开更多
针对火电机组SO_(2)排放质量浓度的影响因素众多,难以准确预测的问题,提出一种改进向量加权平均(weighted mean of vectors,INFO)算法与双向长短期记忆(bi-directional long short term memory,Bi-LSTM)神经网络相结合的预测模型(改进IN...针对火电机组SO_(2)排放质量浓度的影响因素众多,难以准确预测的问题,提出一种改进向量加权平均(weighted mean of vectors,INFO)算法与双向长短期记忆(bi-directional long short term memory,Bi-LSTM)神经网络相结合的预测模型(改进INFO-Bi-LSTM模型)。采用Circle混沌映射和反向学习产生高质量初始化种群,引入自适应t分布提升INFO算法跳出局部最优解和全局搜索的能力。选取改进INFO-Bi-LSTM模型和多种预测模型对炉内外联合脱硫过程中4种典型工况下的SO_(2)排放质量浓度进行预测,将预测结果进行验证对比。结果表明:改进INFO算法的寻优能力得到提升,并且改进INFO-Bi-LSTM模型精度更高,更加适用于SO_(2)排放质量浓度的预测,可为变工况下的脱硫控制提供控制理论支撑。展开更多
文摘目的探讨增强T2^(*)加权血管成像(enhanced T2 star-weighted angiography,ESWAN)序列中R2^(*)值、相位值、幅度值在T2WI低信号肾脏病变良恶性鉴别诊断中的可行性。材料与方法回顾性收集行ESWAN检查、经病理组织学证实的145例T2WI低信号肾脏病变患者(共145个病灶,恶性病变112个,良性病变33个)的术前MRI图像。在肿瘤最大面积的层面上绘制肿瘤T2WI低信号的感兴趣区。通过Kruskal-Wallis检验、卡方检验对参数进行比较,将有统计学意义的参数进行联合,通过多变量logistic回归建立模型,分析差异有统计学意义的参数,并且绘制其鉴别T2WI低信号肾脏病变良恶性的受试者工作特征(receiver operating characteristic,ROC)曲线,采用DeLong检验评价其诊断效能。结果R2^(*)值和幅度值鉴别T2WI低信号肾脏病变良恶性差异具有统计学意义(P=0.001)。R2^(*)值的ROC曲线下面积(area under the curve,AUC)为0.891[95%置信区间(confidence interval,CI):0.829~0.937,P<0.001],敏感度、特异度分别为97.3%、72.7%;幅度值的AUC为0.869(95%CI:0.803~0.920,P<0.001),敏感度、特异度分别为86.6%、81.8%;相位值的AUC为0.563(95%CI:0.478~0.645,P=0.249),敏感度、特异度分别为67.9%、54.6%;R2^(*)值联合幅度值的AUC为0.886(95%CI:0.823~0.933,P<0.001),敏感度、特异度分别为97.3%、72.7%;R2^(*)值联合病变长径的AUC为0.894(95%CI:0.832~0.939,P<0.001),敏感度、特异度分别为92.0%、81.8%;幅度值联合病变长径的AUC为0.858(95%CI:0.790~0.910,P<0.001),敏感度、特异度分别为75.9%、90.9%。结论R2^(*)值、R2^(*)值联合病变长径、R2^(*)值联合幅度值是鉴别T2WI低信号肾脏病变良恶性的有效方法,R2^(*)值联合病变长径具有更好的诊断性能。
基金supported by the Fundamental Research Foundation of the National Natural Science Foundation of China(No.82174111)the State Administration of Traditional Chinese Medicine and the Sci-Tech Innovation Talent System Construction Program of Shaanxi University of Chinese Medicine(No.2023-CXTD-05).
文摘Background:The type 2 diabetes mellitus(T2DM)pharmacodynamic study of various parts of Schisandra sphenanthera was conducted in the previous stage,and it was found that dichloromethane extracted part(SDP)had a significant hypoglycemic effect.Therefore,the components of SDP were analyzed,and the specific mechanism of its anti-T2DM was explored.Methods:We used a high-fat,high-sugar diet in combination with streptozotocin to induce a T2DM rat model,and the model rats were divided into two groups according to body weight and blood glucose.Triglyceride,oral glucose tolerance test,fasting blood glucose,low density lipoprotein cholesterol,superoxide dismutase,insulin,glycated hemoglobin,total cholesterol,nonesterified free fatty acids,alanine aminotransferase,high-density lipoprotein cholesterol,aspartate aminotransferase,malondialdehyde,and glutathione peroxidase were measured,organ indices were calculated,and pathological sections of pancreas and liver were observed.The 16S rRNA V3–V4 region of intestinal flora was sequenced to explore the effect of SDP on biochemical indicators and intestinal flora.Based on the above indicators,the anti-T2DM mechanism of SDP in Schisandra sphenanthera was analyzed.Results:After six weeks of administration,the biochemical indices of diabetic rats were diminished compared to the control group.And SDP could significantly increase the gut microbialα-diversity index,resulting in significant changes in the flora of T2DM rats,with increased richness and diversity,reduced harmful flora,and significantly back-regulated the levels of acetic acid,propionic acid,and butyric acid.Conclusion:SDP can improve the symptoms associated with elevated blood glucose,dyslipidemia,elevated fasting insulin levels,and damaged glucose tolerance in rats.SDP against T2DM may be through the control of intestinal flora to normalize and exert anti-diabetic effect;its main active components may be lignans and terpenoids.
文摘针对火电机组SO_(2)排放质量浓度的影响因素众多,难以准确预测的问题,提出一种改进向量加权平均(weighted mean of vectors,INFO)算法与双向长短期记忆(bi-directional long short term memory,Bi-LSTM)神经网络相结合的预测模型(改进INFO-Bi-LSTM模型)。采用Circle混沌映射和反向学习产生高质量初始化种群,引入自适应t分布提升INFO算法跳出局部最优解和全局搜索的能力。选取改进INFO-Bi-LSTM模型和多种预测模型对炉内外联合脱硫过程中4种典型工况下的SO_(2)排放质量浓度进行预测,将预测结果进行验证对比。结果表明:改进INFO算法的寻优能力得到提升,并且改进INFO-Bi-LSTM模型精度更高,更加适用于SO_(2)排放质量浓度的预测,可为变工况下的脱硫控制提供控制理论支撑。
文摘背景:腰椎小关节炎是引起下腰痛的一个主要原因,目前主要依靠MRI进行初步定性诊断,但仍有一定漏诊、误诊的概率发生,因此MR T2^(*)mapping成像技术有望成为定量检查腰椎小关节炎软骨损伤的重要检测手段。目的:探讨MR T2^(*)mapping成像技术在定量分析腰椎小关节炎软骨损伤退变中的应用价值。方法:收集南京医科大学第四附属医院2020年4月至2022年3月门诊或住院合并下腰痛共110例患者,设为病例组;同时招募无症状志愿者80例,设为对照组。对所有纳入对象L1-S1的小关节行3.0 T MR扫描,获取T2^(*)mapping横断位图像和T2WI图像,分别对所有小关节软骨进行Weishaupt分级及T2^(*)值测量,收集数据并行统计学分析。不同小关节Weishaupt分级之间小关节软骨T2^(*)值比较采用单因素方差分析。结果与结论:①经统计分析发现,病例组腰椎小关节软骨T2^(*)值(17.6±1.5)ms明显较对照组(21.4±1.3)ms降低,差异有显著性意义(P<0.05);②在病例组中,随着腰椎小关节Weishaupt分级增加,小关节软骨T2^(*)值也呈逐渐下降趋势,且这种差异有显著性意义(P<0.05);③提示T2^(*)mapping能够较好地显示腰椎小关节软骨损伤的早期病理变化,腰椎小关节软骨的T2^(*)值能够定量评估腰椎小关节的软骨损伤程度;T2^(*)mapping成像技术能为影像学诊断腰椎小关节炎软骨早期损伤提供很好的理论依据,具有重要的临床应用价值。
