Stochastic Investigations for the Fractional Vector-Host Diseased Based Saturated Function of Treatment Model

The goal of this research is to introduce the simulation studies of the vector-host disease nonlinear system(VHDNS)along with the numerical treatment of artificial neural networks(ANNs)techniques supported by Levenberg-Marquardt backpropagation(LMQBP),known as ANNs-LMQBP.This mechanism is physically appropriate,where the number of infected people is increasing along with the limited health services.Furthermore,the biological effects have fadingmemories and exhibit transition behavior.Initially,the model is developed by considering the two and three categories for the humans and the vector species.The VHDNS is constructed with five classes,susceptible humans Sh(t),infected humans Ih(t),recovered humans Rh(t),infected vectors Iv(t),and susceptible vector Sv(t)based system of the fractional-order nonlinear ordinary differential equations.To solve the number of variations of the VHDNS,the numerical simulations are performed using the stochastic ANNs-LMQBP.The achieved numerical solutions for solving the VHDNS using the stochastic ANNs-LMQBP have been described for training,verifying,and testing data to decrease the mean square error(MSE).An extensive analysis is provided using the correlation studies,MSE,error histograms(EHs),state transitions(STs),and regression to observe the accuracy,efficiency,expertise,and aptitude of the computing ANNs-LMQBP.

Dynamics of Fractional Differential Model for Schistosomiasis Disease

In the present study,a design of a fractional order mathematical model is presented based on the schistosomiasis disease.To observe more accurate performances of the results,the use of fractional order derivatives in the mathematical model is introduce based on the schistosomiasis disease is executed.The preliminary design of the fractional order mathematical model focused on schistosomiasis disease is classified as follows:uninfected with schistosomiasis,infected with schistosomiasis,recovered from infection,susceptible snail unafflicted with schistosomiasis disease and susceptible snail afflicted with this disease.The solutions to the proposed system of the fractional order mathematical model will be presented using stochastic artificial neural network(ANN)techniques in conjunction with the LevenbergMarquardt backpropagation(LMBP),referred to as ANN-LMBP.To illustrate the preciseness of the ANN-LMBP method,mathematical presentations of three different values focused on fractional order will be performed.These statics performances are taken in these investigations are 78%and 11%for both learning and certification.The accuracy of the ANN-LMBP method is determined by comparing the values obtained by the database Adams-Bash forth-Moulton scheme.The simulation-based error histograms(EHs),MSE,recurrence,and state transitions(STs)will be offered to achieve the capability,accuracy,steadiness,abilities,and finesse of the ANN-LMBP method.

First and Second Order Statistics Features for Classification of Magnetic Resonance Brain Images

In literature, features based on First and Second Order Statistics that characterizes textures are used for classification of images. Features based on statistics of texture provide far less number of relevant and distinguishable features in comparison to existing methods based on wavelet transformation. In this paper, we investigated performance of texture-based features in comparison to wavelet-based features with commonly used classifiers for the classification of Alzheimer’s disease based on T2-weighted MRI brain image. The performance is evaluated in terms of sensitivity, specificity, accuracy, training and testing time. Experiments are performed on publicly available medical brain images. Experimental results show that the performance with First and Second Order Statistics based features is significantly better in comparison to existing methods based on wavelet transformation in terms of all performance measures for all classifiers.

Numerical Treatments for Crossover Cancer Model of Hybrid Variable-Order Fractional Derivatives

In this paper,two crossover hybrid variable-order derivatives of the cancer model are developed.Grünwald-Letnikov approximation is used to approximate the hybrid fractional and variable-order fractional operators.The existence,uniqueness,and stability of the proposed model are discussed.Adams Bashfourth’s fifth-step method with a hybrid variable-order fractional operator is developed to study the proposed models.Comparative studies with generalized fifth-order Runge-Kutta method are given.Numerical examples and comparative studies to verify the applicability of the used methods and to demonstrate the simplicity of these approximations are presented.We have showcased the efficiency of the proposed method and garnered robust empirical support for our theoretical findings.

Numerical Simulation and Parameter Estimation of Fractional-Order Dynamic Epidemic Model for COVID-19

The outbreak of COVID-19 in 2019 resulted in numerous infections and deaths. In order to better study the transmission of COVID-19, this article adopts an improved fractional-order SIR model. Firstly, the properties of the model are studied, including the feasible domain and bounded solutions of the system. Secondly, the stability of the system is discussed, among other things. Then, the GMMP method is introduced to obtain numerical solutions for the COVID-19 system and combined with the improved MH-NMSS-PSO parameter estimation method to fit the real data of Delhi, India from April 1, 2020 to June 30, 2020. The results show that the fitting effect is quite ideal. Finally, long-term predictions were made on the number of infections. We accurately estimate that the peak number of infections in Delhi, India, can reach around 2.1 million. This paper also compares the fitting performance of the integer-order COVID-19 model and the fractional-order COVID-19 model using the real data from Delhi. The results indicate that the fractional-order model with different orders, as we proposed, performs the best.

Establishment of a Fractional Order COVID-19 Model and Its Feasibility Analysis

This paper investigates an improved SIR model for COVID-19 based on the Caputo fractional derivative. Firstly, the properties of the model are studied, including the feasible domain and bounded solutions of the system. Secondly, the stability of the system is discussed, among other things. Then, the GMMP method is introduced to obtain numerical solutions for the COVID-19 system. Numerical simulations were conducted using MATLAB, and the results indicate that our model is valuable for studying virus transmission.

TOPSIS法在基于疾病诊断相关组(DRGs)的医院绩效评价中的应用

目的探讨TOPSIS法在基于DRGs的医院绩效评价中的效果。方法收集2019年1~12月浙江省某三级甲等综合医院的出院患者病案首页信息,通过上海联众DRGs绩效考核系统运算,得出DRGs相关指标信息,运用TOPSIS评价法对院内各出院科室医疗服务进行综合绩效评价。结果DRGs组数为708组,占分组的85.7%;CMI为0.98,平均住院天数7.39 d,平均住院费用17862.52元;排名前5位的分别为重症医学科、心胸外科、急诊医学科、神经外科、感染病科,排名后5位的分别为介入医学科、眼科、整形外科、生殖内分泌科、产科。结论TOPSIS法能够集中地反应出各出院科室的优劣,更客观准确地反映不同类型科室的医疗服务、诊治范围、诊疗技术难度、服务效率等综合情况,较好地解决了不同科室间的医疗评价差别,为医院绩效管理、学科发展提供参考方向,值得应用推广。

2018—2022年某三甲医院住院患者神经系统疾病谱分析

目的分析某三甲医院神经系统疾病近5年住院患者疾病谱变化规律,从而有效制定针对性的疾病防治策略。方法收集2018年1月1日—2022年12月31日某三甲医院神经系统疾病病例资料,采用ICD-10编码进行疾病分类,对病种、性别、年龄分布等情况进行分析。结果5年间收治神经系统疾病患者共9060例,2020年受新冠疫情影响出院患者最少,占15.96%;2022年最多,占24.05%;病例呈增长的趋势;各年龄段之间患者发病类别不同,神经系统疾病排名前10位的病种依次为:短暂性脑缺血发作、头痛、脊神经疾病、脑神经疾患、癫痫、帕金森病、睡眠障碍、瘫痪、脑的其他疾患、脑积水。结论医院可根据疾病谱分布特征制定不同年龄人群诊治技术,针对重点人群落实综合防治措施,有针对性地加强重点专科建设,合理配置卫生资源。

赵海滨教授从“阴平阳秘,精神乃治”辨证论治缓慢性心律失常合并抑郁的经验

缓慢性心律失常合并抑郁是常见的双心疾病,中医药治疗效果显著。中医“双心学说”创立者赵海滨教授认为,心之体分心阴心阳,心之用为心主血脉而藏神志,在生理状态下,心之“阴平阳秘,精神乃治”,心阴心阳合和,方能正常维持心用,使血脉调而神明安;在病理状态下,心之阴阳失衡,多易“阳常不足,阴常有余”,心阳亏虚,因虚致郁,或阳不化阴,因实致郁而发病。治疗上赵教授主张“密阳强心,运脉明神”以治其本,“通滞平阴,祛瘀安神”以疗其标,擅用经方合自拟双心方加减,效果颇佳。本文旨在总结赵教授从“阴平阳秘,精神乃治”辨证论治缓慢性心律失常合并抑郁经验,以期为双心疾病的中医药治疗开拓思路。

基于属性偏序探究《四圣心源》肝病方用药规律

背景:《四圣心源》为清代乾隆御医黄玉璐所著。此著作汇集《黄帝内经》《难经》《伤寒论》《金匮要略》之精华,蕴含深刻的中医学理论及临床经验。我们通过属性偏序的研究方法汇总《四圣心源》中治疗肝病的处方并进行分析,以探讨黄玉璐治疗肝病的思想和用药规律,有利于指导中医临床用药,传承中医学术经验与思想。目的:探究《四圣心源》中治疗肝病的方剂、用药规律。方法:运用属性偏序原理筛选《四圣心源》中肝病用方,将诸方药物划分为不同的属性类别,统计使用频次,并建立属性偏序关系,绘制属性偏序图。结果:从《四圣心源》中共筛选出肝病相关方剂12首,中药组成28味。分析发现《四圣心源》中治肝方药以桂枝、茯苓为重,药性侧重寒与温,药味偏苦、辛、甘之味。结论:黄玉璐认为诸病所生,皆因中气不足,土湿中生,土湿木郁即肝病的核心病机,故常以桂枝、茯苓为主。桂枝入于足厥阴肝经,条达之性与肝之条达相应,调畅木气;茯苓健脾燥湿,泻水燥土,以治土湿木郁之象。治疗肝病时需重视肝脾关系,以“培土疏肝”为主,培中焦脾胃之气,运化水湿,同时疏肝解郁,使肝气条达,多用桂枝、茯苓之药,注重调补中气,重视中焦,佐以半夏降胃、人参培补元气,事半功倍。

Histone Variants in Development and Diseases

Eukaryotic genomic DNA is highly packaged into chromatin by histones to fit inside the nucleus. Other than the bulk packaging role of canonical histones with an expression peak at S phase and replication-coupled deposition, different histone variants have evolved distinct regulatory mechanisms for their expression, deposition and functional implications. The diversity of histone variants results in structural plasticity of chromatin and highlights functionally distinct chromosomal domain, which plays critical roles in development from a fertilized egg into a complex organism, as well as in aging and diseases. However, the mechanisms of this fundamental process are poorly understood so far. It is of particular interest to investigate how the variants are incorporated into chromatin and mark specific chromatin states to regulate gene expression, and how they are involved in development and diseases. In this review, we focus on recent progress in studies of epigenetic regulation of three extensively investigated variants including H2A.Z, macroH2A and H3.3, and their functional implications in development and diseases.

Antibiotic activity of different solvent extracts of the marine gastropod Thais bufo against Staphylococcus aureus and Streptococcus pyogenes

Objective:To evaluate the antimicrobial activity of different solvent extracts of the species Thais bufo against theStreptococcus pyogenes andStaphylococcus aureus. <br> Methods:Different types of solvents were used such as acetone, benzene, butanol, chloroform, ethanol, ethyl acetate, hexane, methanol, toluene and distilled water for extraction, based on the polarity basis for the purpose of minimizing the process and error in identification and characterization of the active compound. <br> Results: Regarding the percentage of yield, aqueous extract yielded the highest percentage, following that methanolic extract and other extracts in the order of ethanol, hexane, chloroform, ethyl acetate, butanol, benzene, acetone and toluene. In the perception of antibiotic activity, ethyl acetate and methanol showed better activity against both the species. Through the results, it is clear that the methanolic extract have mild antimicrobial activity. The antimicrobial activity in the form of zone of inhibition was below the value of 7.5 mm. Further, the qualitative analysis was carried out only for the methanolic extract, due to its overall activity. Through the qualitative analysis by thin layer chromatography it happened to know that 3 bands were formed and theirRf values were 0.07, 0.17 and 0.44 respectively. <br> Conclusions: The results showed that the solvent extracts of the speciesThais bufohave no potential antibiotic activity, hence it cannot be considered for the further research in the field of drug discovery.

江苏省水稻种植户对病虫害防治技术采纳满意度分析——基于不同技术供给渠道的比较

病虫害防治作为粮食作物生产过程中必不可少的环节,得到各级政府机关部门以及农业生产技术供给主体的一致重视,也因此产生多种供给渠道供水稻种植户们采纳。但是在水稻种植户采纳各类供给渠道所提供的技术后,对其是否满意的研究还未有深究,故基于中国土地经济调查中的部分数据,通过Ordered Probit模型分析江苏省水稻种植户对不同技术供给渠道的病虫害防治技术的满意度。研究发现,有72.37%的农户采纳由政府提供的病虫害防治技术,技术采纳满意度为91.4%,无论从总体发展趋势来看,还是细化到各个供给渠道的变化趋势来看,此类供给渠道的变动也对水稻种植户的技术采纳满意度具有最显著的影响。有7.46%的农户采纳由高校科研院所提供的病虫害防治技术,技术采纳满意度为91%。由此可见,虽然除政府公益型技术供给渠道外的其他组织机构水稻种植户的技术采纳满意度也具有较高水准,但宣传推广的力度还有待提升。在各技术供给渠道中,政府推广部门所提供的病虫害防治技术被农户采纳的几率较其他几项技术供给渠道呈现断层式偏高,故各类技术供给渠道间的互相带动平衡发展也需要持续加以关注。

一类SEIR时滞分数阶传染病模型的稳定性与分岔分析

建立了一类SEIR时滞分数阶传染病模型,将系统进行分数阶Laplace变换,计算了模型的特征矩阵和特征方程,利用再生矩阵法计算模型的基本再生数,证明了系统在无病平衡点P_(0)和地方病平衡点P_(1)的稳定性,另外,以时滞τ为参数,利用Hopf分岔理论给出了系统发生分岔的充分条件。

HAPA理论指导的心理健康教育干预对慢性肾脏病患者自我管理能力的影响

目的健康行为过程理论(HAPA)指导的心理及健康教育干预对慢性肾脏病(CKD)患者自我管理能力的影响。方法采用便利抽样法选取2022年1月至2023年12月厦门弘爱医院收治的CKD患者120例为研究对象。采用随机数字表法将患者分为两组,常规组60例,干预组60例。常规组给予常规心理和健康教育干预,干预组给予HAPA理论指导的心理及健康教育干预,均持续干预1个月。比较两组医嘱依从性、自我管理能力、自我效能感及生活质量。结果干预后,干预组患者医嘱依从性评分、自我管理能力评分、自我效能感评分及肾病相关生活质量量表(KDQOL-36)各项评分均较常规组更高(P<0.05)。结论HAPA指导的心理及健康教育干预可提高CKD患者医嘱依从性及自我管理能力,改善生活质量。

重视异病类证与异病类治的诊疗思维方式

目的:探讨异病类证与异病类治的诊疗思维方式的重要性。方法:基于概述病证结合模式下异病同证同治的概念和特点,提出异病类证与异病类治诊疗思维方式并进行讨论。结果:阐释了异病类证类治与方证相应、同病类证类治的关系。结论:探讨异病类证与异病类治的诊疗思维方式为中医辨证治疗提供理论依据。

飞行员超龄特许体检118例分析

目的研究飞行员超龄特许体检疾病检出分布及飞行结论情况,为制定有关政策和评定标准提供参考。方法对我院2008-2012年收住的118例超龄特许飞行员的病历资料进行统计分析。结果 40.7%的飞行员体检未见异常,在所检出的疾病中排序前10位的依次为高脂血症、脂肪肝、胆囊息肉、颈动脉硬化、肝囊肿、肾囊肿、甲状腺结节、腔隙性脑梗死、高尿酸血症和胆囊结石。97.5%的飞行员健康状况符合飞行人员体格检查标准,3名飞行员特许飞行不合格,所患疾病分别为高血压、颈动脉硬化和垂体瘤。结论绝大部分达到最高飞行年龄的飞行员经飞行体检合格,可适当延长飞行年限;在体检中应重视代谢、消化和心脑血管疾病的检查和鉴定。

按病种分类进行用药医嘱点评模式初探

目的:考察按病种分类进行用药医嘱点评新模式的应用效果。方法:从我院各科室中共选择16个常见病种,每个病种分别随机抽取2016年1月1日-12月31日医院信息系统中的各10份、总计160例患者的电子病历,对各患者住院期间的10 720条用药医嘱从合理性方面进行回顾性点评,对不合理用药医嘱中用法用量不适宜、辅助用药占比、适应证不适宜等相关指标进行统计和分析,建立按病种分类进行用药医嘱点评的新模式;收集点评新模式实施及进行相关干预后(2017年4-5月)相同病种的9 862条用药医嘱,点评其不合理率,评价新模式的应用效果。结果:在2016年的样本中,共点评出751条不合理用药医嘱,以用法用量不适宜情况最多(414条,55.12%),其中尤以在脑出血病种中最多(69条,16.67%),此病种下以单次给药用量过大最多(31条,44.92%);辅助用药占病种药品总费用比排序前3位的病种依次为肾肿瘤手术(39.43%)、急性脑梗死(非手术)(37.03%)和椎间盘突出手术(35.26%);适应证不适宜用药有70条(9.32%)。应用按病种分类的点评模式及进行相关干预后,医嘱不合理率由点评前的7.00%(751/10 720)下降至点评后的2.95%(291/9 862),降幅为57.86%。结论:应用按病种分类的点评模式管理用药医嘱不合理率取得了一定的成效,该模式有助于促进临床合理用药。

基于高阶残差和参数共享反馈卷积神经网络的农作物病害识别

当前,大部分农作物病害图像识别方法主要关注于精度而忽略了鲁棒性.在面向实际环境时,由于噪声干扰和环境因素影响导致识别精度不高.为此提出了一种高阶残差和参数共享反馈的卷积神经网络模型以应用于实际环境农作物病害识别.其中,高阶残差子网络为病害表观提供丰富细致的特征表达,以提高模型识别精度;参数共享反馈子网络用来进一步抑制原深层特征中的背景噪声,以提高模型的鲁棒性.实验结果表明,当面向实际环境农作物病害识别时,本文方法在识别精度和鲁棒性上均优于其他方法.

GSK-3β参与神经精神疾病的研究进展

糖原合成酶激酶-3β(glycogen synthase kinase-3β,GSK-3β)是一种丝氨酸/苏氨酸激酶,最初发现是糖原合成过程中的关键酶。在神经系统中,GSK-3β通过转录激活、细胞增殖与细胞分化参与神经系统的多种病理生理过程。GSK-3β活性异常引起其下游的信号蛋白及基因表达异常,导致与其底物相关的如双极紊乱、精神分裂症、阿尔采末病及疼痛等多种神经精神疾病的发生。近年来,GSK-3β已成为基础和临床研究的热点,也逐渐成为众多疾病的治疗靶点。该文就GSK-3β参与神经精神疾病的机制做简要论述。