Application of Heuristic Method to the Clinical Teaching of Internal Medicine

There is an old saying,“Give a man a fish,and he will eat for a day.Teach a man to fish,and he will eat for the rest of his life.”In clinical teaching,students should not only be taught about diseases,but their intelligence should also be cultivated,along with their analytical,comprehension,and independent learning skills.The ability to solve problems enables students to think independently and acquire knowledge.This is known as the heuristic method of teaching.In this study,we mainly analyze the application value of the heuristic method in the clinical teaching of internal medicine.

Euler’s First-Order Explicit Method–Peridynamic Differential Operator for Solving Population Balance Equations of the Crystallization Process

Using Euler’s first-order explicit(EE)method and the peridynamic differential operator(PDDO)to discretize the time and internal crystal-size derivatives,respectively,the Euler’s first-order explicit method–peridynamic differential operator(EE–PDDO)was obtained for solving the one-dimensional population balance equation in crystallization.Four different conditions during crystallization were studied:size-independent growth,sizedependent growth in a batch process,nucleation and size-independent growth,and nucleation and size-dependent growth in a continuous process.The high accuracy of the EE–PDDO method was confirmed by comparing it with the numerical results obtained using the second-order upwind and HR-van methods.The method is characterized by non-oscillation and high accuracy,especially in the discontinuous and sharp crystal size distribution.The stability of the EE–PDDO method,choice of weight function in the PDDO method,and optimal time step are also discussed.

New High-Order Numerical Methods for Hyperbolic Systems of Nonlinear PDEs with Uncertainties

In this paper,we develop new high-order numerical methods for hyperbolic systems of nonlinear partial differential equations(PDEs)with uncertainties.The new approach is realized in the semi-discrete finite-volume framework and is based on fifth-order weighted essentially non-oscillatory(WENO)interpolations in(multidimensional)random space combined with second-order piecewise linear reconstruction in physical space.Compared with spectral approximations in the random space,the presented methods are essentially non-oscillatory as they do not suffer from the Gibbs phenomenon while still achieving high-order accuracy.The new methods are tested on a number of numerical examples for both the Euler equations of gas dynamics and the Saint-Venant system of shallow-water equations.In the latter case,the methods are also proven to be well-balanced and positivity-preserving.

Identification and Balancing of Flexible Rotors by Boundary Element Method

In this paper, an identification method to estimate the unbalances is introduced, which is based on the boundary element method (BEM). By using the vibration response measured at some points on the flexible rotor the unbalances can be identified conveniently. Therefore, the rotor can be balanced without test runs.

Quasi-Newton Method for Optimal Blank Allowance Balancing

A balancing technique for casting or forging parts to be machined is presented in this paper.It allows an optimal part setup to make sure that no shortage of material(undercut)will occur during machining.Particularly in the heavy part in- dustry,where the resulting casting size and shape may deviate from expectations,the balancing process discovers whether or not the design model is totally enclosed in the actual part to be machined.The alignment is an iterative process involving nonlinear con- strained optimization,which forces data points to lie outside the nominal model under a specific order of priority.Newton methods for non-linear numerical minimization are rarely applied to this problem because of the high cost of computing.In this paper, Newton methods are applied to the balancing of blank part.The aforesaid algorithm is demonstrated in term of a marine propeller blade,and result shows that The Newton methods are more efficient and accurate than those implemented in past research and have distinct advantages compared to the registration methods widely used today.

On the Computing of the Minimum Distance of Linear Block Codes by Heuristic Methods

The evaluation of the minimum distance of linear block codes remains an open problem in coding theory, and it is not easy to determine its true value by classical methods, for this reason the problem has been solved in the literature with heuristic techniques such as genetic algorithms and local search algorithms. In this paper we propose two approaches to attack the hardness of this problem. The first approach is based on genetic algorithms and it yield to good results comparing to another work based also on genetic algorithms. The second approach is based on a new randomized algorithm which we call 'Multiple Impulse Method (MIM)', where the principle is to search codewords locally around the all-zero codeword perturbed by a minimum level of noise, anticipating that the resultant nearest nonzero codewords will most likely contain the minimum Hamming-weight codeword whose Hamming weight is equal to the minimum distance of the linear code.

Heuristic Method for Job Shop Scheduling Problem with Combination Processing

A job shop scheduling problem with a combination processing in complex production environment is proposed. Based on the defining of ＂non-elastic combination processing relativity＂ and ＂virtual process＂, the problem can be simplified and transformed to a traditional one. On the basis of the dispatching rules select engine and considered factors of complex production environment, a heuristic method is designed. The algorithm has been applied to a mould enterprise in Shenzhen for half a year. The practice showed that by using the method suggested the number of delayed orders was decreased about 20% and the productivity was increased by 10 to 20%.

A novel adaptive harmonic balance method with an asymptotic harmonic selection

The harmonic balance method(HBM)is one of the most widely used methods in solving nonlinear vibration problems,and its accuracy and computational efficiency largely depend on the number of the harmonics selected.The adaptive harmonic balance(AHB)method is an improved HBM method.This paper presents a modified AHB method with the asymptotic harmonic selection(AHS)procedure.This new harmonic selection procedure selects harmonics from the frequency spectra of nonlinear terms instead of estimating the contribution of each harmonic to the whole nonlinear response,by which the additional calculation is avoided.A modified continuation method is proposed to deal with the variable size of nonlinear algebraic equations at different values of path parameters,and then all solution branches of the amplitude-frequency response are obtained.Numerical experiments are carried out to verify the performance of the AHB-AHS method.Five typical nonlinear dynamic equations with different types of nonlinearities and excitations are chosen as the illustrative examples.Compared with the classical HBM and Runge-Kutta methods,the proposed AHB-AHS method is of higher accuracy and better convergence.The AHB-AHS method proposed in this paper has the potential to investigate the nonlinear vibrations of complex high-dimensional nonlinear systems.

Harmonic Balance Methods:A Review and Recent Developments

The harmonic balance(HB)method is one of the most commonly used methods for solving periodic solutions of both weakly and strongly nonlinear dynamical systems.However,it is confined to low-order approximations due to complex symbolic operations.Many variants have been developed to improve the HB method,among which the time domain HB-like methods are regarded as crucial improvements because of their fast computation and simple derivation.So far,there are two problems remaining to be addressed.i)A dozen of different versions of HB-like methods,in frequency domain or time domain or in hybrid,have been developed;unfortunately,misclassification pervades among them due to the unclear borderlines of different methods.ii)The time domain HB-like methods suffer from non-physical solutions,which have been shown to be caused by aliasing(mixture of the high-order into the low-order harmonics).Although a series of dealiasing techniques have been developed over the past two decades,the mechanism of aliasing and the final solution to dealiasing are still not well known to the academic community.This paper aims to provide a comprehensive review of the development of HB-like methods and enunciate their principal differences.In particular,the time domain methods are emphasized with the famous aliasing phenomenon clearly addressed.

The Application of Ridge Regression in Dynamic Balancing of Flexible Rotors Based on Influence Coefficient Method

Based on the model structure of the influence coefficient method analyzed in depth by matrix theory ,it is explained the reason why the unreasonable and instable correction masses with bigger MSE are obtained by LS influence coefficient method when there are correlation planes in the dynamic balancing. It also presencd the new ridge regression method for solving correction masses according to the Tikhonov regularization theory, and described the reason why the ridge regression can eliminate the disadvantage of the LS method. Applying this new method to dynamic balancing of gas turbine, it is found that this method is superior to the LS method when influence coefficient matrix is ill-conditioned,the minimal correction masses and residual vibration are obtained in the dynamic balancing of rotors.

区域水平衡及失衡程度度量方法

区域水平衡量化及诊断是水网工程建设优化和水资源均衡调控的基础,对提升水安全保障能力、支撑经济社会稳定发展、实现人水和谐具有重要意义。本文从空间、时间、结构、过程、总量五个维度解构了区域人水系统的四大平衡,即反映水收入项和支出项定量关系的水收支平衡、体现经济社会供水量与需水量匹配关系的经济社会供需水平衡、结合经济社会-生态系统发展与用水定量关系的经济社会与生态用水平衡、表征人水系统发展状态的人水关系和谐平衡,并提出相应的水平衡度量方法。多角度解析了区域水平衡的失衡状态,提出四大平衡的失衡程度度量方法及区域水平衡的失衡程度综合度量方法。以沁河流域为实例应用和检验了上述方法,结果表明:提出的度量方法具有科学性和适用性,能够应用于区域水平衡研究实践;2019年沁河流域水平衡的失衡度为0.327,处于蓄水量减少、水资源短缺、生态端亏水、水系统受损的中度失衡状态,后续应注重人类涉水行为的管控。研究成果可为区域水平衡评估与调控提供理论支撑,服务国家或区域水平衡策略制定和水网工程规划。

基于经筋理论的膝骨关节炎患者“筋结点”超声解剖学特征分析与针刀治疗的疗效评价研究

目的:借助可视化肌骨超声深入剖析膝骨关节炎患者膝关节局部经筋病灶点的病理特征,并综合评价弓弦平衡针刀法与常规针刺法治疗膝骨关节炎的疗效差异,为今后针刀精准辨位定点及安全入路研究提供客观参考依据。方法:将120例膝骨关节炎患者随机分为针刀治疗组和针刺对照组,每组60例。针刀治疗组进行弓弦平衡针刀法治疗,每周2次;针刺对照组选取犊鼻、内膝眼、阳陵泉、梁丘、鹤顶,及局部阿是穴进行针刺,同时根据不同的证型进行配穴加减,每周3次。2组均以3周为1个疗程,治疗3个疗程。根据肌骨超声下“筋结点”的精确定位、层次解剖、回声特点深入剖析经筋病灶点的超声影像学特征,采用股直肌羽状角、肌纤维横断面积、西安大略和麦克马斯特大学骨关节炎指数(WOMAC)评分、白细胞介素-1β(IL-1β)、肿瘤坏死因子-α(TNF-α)综合评价2组疗效差异。结果:治疗后,2组患者WOMAC评分、股直肌羽状角、平均肌纤维厚度、弹性应变率、IL-1β、TNF-α水平,及膝关节疼痛程度、僵硬、日常活动能力方面较治疗前均显著改善(P <0.05);其中,针刀治疗组在提升股直肌羽状角、增加肌纤维厚度、降低弹性应变率、降低致炎致痛因子水平方面优于针刺对照组,差异有统计学意义(P <0.05);与正常膝关节超声解剖结构相比,患者膝关节各针刀松解点(筋结点)处呈现出不同程度回声增强,同时伴有滑膜增厚、增生、关节腔积液、滑囊积液等典型超声影像学特征。结论:肌骨超声能够精准呈现膝骨关节炎患者膝关节经筋病灶点的解剖位置、解剖层次等超声病变特征,证实弓弦平衡针刀法的安全性和有效性,为针刀医学的标准化、规范化研究提供重要参考依据。

某型复杂工程机械变速箱体复合工艺约束机加工线平衡研究

为解决机加工生产线平衡问题所包含的加工任务刀具需求、机床类型需求、加工方位约束、“紧密”型和“或”型约束等复杂条件,建立了机加工生产线平衡数学模型,并采用含多重筛选机制的粒子群算法进行了求解。首先,建立了满足此复杂实际约束条件的机加工生产线平衡问题数学模型;然后,采用粒子的位置坐标作为粒子群搜索的权重信息,进行了加工任务、集中任务的选取,并设计了多重筛选机制构造启发式任务集生成规则;采用此规则对待分配加工任务进行了多重筛选,以得到可供直接分配的加工任务集合,粒子群算法(PSO)从此集合中依次选取了加工任务,构成了完整的解,并形成了具体的任务分配方案;最后,为提高程序的实用性和可视性,设计了加工任务的甘特图生成模块,通过对某复杂工程机械变速箱体零件的实际案例研究,将简化后的任务信息代入算法进行了求解。研究结果表明:该方法实现了多组平衡率高于90%的优化结果,在节拍时间为1120 s时,得到94.66%的较高平衡率,排产方案表格内容与甘特图显示一致;算法推演结果满足设定的多种复合约束条件,通过与人工排产对比说明了该算法的有效性并具有较好的经济性、实用性;对柔性生产案例进行探讨,证明该算法运算结果具备一定的生产柔性。

首批异替勃龙国家对照品的标定研究

目的制备并标定首批异替勃龙国家对照品,以有效控制替勃龙及其制剂产品质量。方法应用红外光谱、质谱、核磁共振谱对异替勃龙进行结构确证,采用反相高效液相色谱(HPLC)法测定待标品纯度,采用质量平衡法对待标品进行赋值,并对待标品的均一性和稳定性进行考察。结果异替勃龙待标品经标定,以C_(21)H_(28)O_(2)计,含量为99.6%;均一性考察符合要求,25℃±2℃、RH 75%±5%条件,40℃±2℃、RH 75%±5%条件,光照4500 lx±500 lx条件下放置10 d,纯度略有下降。结论本批待标品确认为异替勃龙,可作为第一批异替勃龙国家对照品,以供异替勃龙HPLC法鉴别和含量测定用,以C_(21)H_(28)O_(2)计,本批待标品含量为99.6%。

脉冲风洞天平基础动力特征的简化计算方法

为了研究脉冲风洞天平基础在脉冲气动荷载作用下的动力响应特征,以某脉冲风洞为例,选择某典型气动荷载作用形式,建立了脉冲风洞天平基础在气动荷载作用下竖直方向、水平方向位移以及回转角度等动力特征的简化计算方法,并采用数值模拟的方法验证其可靠性.研究结果表明:天平基础在典型气动荷载作用下,竖直向最大振幅0.00175 mm,频率7.94 Hz,水平向最大振幅0.00283 mm,频率7.94 Hz,回转角度最大振幅0.00034°,频率7.94 Hz,典型气动荷载对天平基础振动影响较小,也未产生共振现象;基础振动最大振幅随气动荷载增大而增大,基础振动频率随气动荷载频率增大而增大;在气动荷载不变的条件下,基础振动的最大振幅与频率随尺寸的变大而变小,基础振动的最大振幅也随地基土性质的增强而减小,但地基土性质的变化对基础振动频率无影响.

风压平衡关系对高分辨率区域模式地面资料同化的影响分析

随着模式分辨率的提高,数值模式可分辨的短波信息增加,以地转平衡为基础的风压平衡约束关系不能完全满足低纬度地区及对流尺度高分辨率模式资料同化的需求。提出了基于多重网格方法构建1 km分辨率数值模式变分同化风压平衡约束关系的方案,基于CMA-MESO (China Meteorological Administration Mesoscale Model)三维变分(Three-Dimensional Variational Data Assimilation,简称3DVAR)和1 km分辨率中尺度区域模式开展了单点同化试验和典型个例分析。单点同化试验表明,气压和风的同化结果在没有平衡约束关系条件下比线性平衡约束下更接近观测。地面自动气象站观测资料同化试验表明新风压平衡约束关系将明显增加模式低层几十千米尺度的分析增量,其次是增加100—200 km尺度的分析增量。新风压平衡约束试验的同化分析增量相对于线性平衡约束的对照试验可以给出更多的增量中心位置,更好描述低层水汽辐合,对模式初始0—3 h降水、0—6 h地面10 m风和地面气压的模拟有改进。研究表明在大尺度风压平衡约束的基础上增加局地无风压平衡约束的订正,可以提高对流尺度天气系统地面短波信息的同化能力,改进高分辨率模式短时临近预报。

公立医院DRG绩效考核指标体系构建研究

目的:构建基于DRG支付制度的公立医院绩效考核指标体系,以期提高公立医院绩效评价的科学性,为公立医院深化DRG支付方式改革提供参考。方法:基于平衡计分卡的基础框架,通过文献研究法初步构建指标库;遴选21位相关领域专家进行两轮德尔菲法专家咨询确定指标体系,利用层次分析法确定指标权重。结果:构建了基于DRG的公立医院绩效考核指标体系,包括4个维度、7个一级指标和17个二级指标,专家积极系数、权威程度及两轮咨询协调程度较好。指标体系重视患者体验、医疗服务能力和质量安全,指标维度权重值为0.15~0.47,一级指标权重值为0.05~0.23,二级指标权重值为0.01~0.22。结论:初步形成基于DRG的公立医院绩效考核指标体系,指标体系科学可靠,可应用于公立医院DRG绩效考核评价工作,明确指标来源和获取途径,为指标体系的推广奠定基础。

启发式临床医学与案例教学法在内分泌科临床教学中的应用

目的 探究启发式临床医学教学法与案例教学法应用至内分泌科临床教学当中对教学效果及质量的影响。方法 选取2021年2月—2023年1月在湖北医药学院附属国药东风总医院内分泌科实习的54名实习生为研究对象,将2021年2月—2022年1月参与实习的27名实习生纳入对照组,将2022年2月—2023年1月参与实习的27名实习生纳入观察组。对照组实习期间开展传统教学,观察组在实习教学期间应用启发式临床医学教学法结合案例教学法。比较2组出科考核(理论知识、实践技能、病例分析)分数,比较其入科及出科批判性思维能力测试量表(critical thinking disposition inventory-Chinese version,CTDI-CV)评分、医患沟通技能评价量表(set the stage, elicit information,give information,understand the patient’s perspective,end the encounter,SEGUE)评分,调查2组对教学方法有效性的看法。结果 观察组理论知识、实践技能、病例分析出科考核分数[(84.96±6.96)分、(81.48±6.82)分、(83.79±7.15)分]均高于对照组[(79.85±5.73)分、(74.26±6.13)分、(77.95±7.64)分],差异有统计学意义(P <0.05)。出科时,2组CTDI-CV总分高于入科时,观察组CTDI-CV总分高于对照组,差异有统计学意义(P <0.05);2组SEGUE总分高于入科时,观察组SEGUE总分高于对照组,差异有统计学意义(P<0.05)。观察组增强临床思维评价、提高自主学习积极性评价、促进团结协作评价、提高应变能力评价认可人数多于对照组,差异有统计学意义(P <0.05)。结论在内分泌科临床教学中应用启发式临床医学教学法及案例教学法,可提高实习生临床综合能力水平,增强其批判性思维,使其与患者开展高效沟通,对科室临床教学质量的提升具有促进作用。

平衡计分卡联合层次分析法研究农业科研单位预算绩效评价

【目的】首次联合运用平衡计分卡和层次分析法,建立普遍适用于农业科研单位预算绩效评价方法,旨在进一步提高农业科研单位预算绩效评价管理水平。【方法】基于平衡计分卡理论,运用财务、内部运营、产出效益、学习与成长4个维度,构建农业科研单位预算绩效管理评价指标体系;利用层次分析法对构建的绩效管理评价指标的重要程度计分,构建判断矩阵确定相应的权重,最后计算综合得分。【结果】对研究对象A单位连续4年的数据计算分析发现,A单位的财务和产出效益2个维度所占权重较大,分别为47.63%和38.51%,而内部运营、学习与成长2个维度所占权重较低,分别为19.15%和13.47%。权重分布显示A单位对科研经费和科研产出较为重视。研究结果进一步显示,A单位2023年发展情况较好,但还需要强化经费预算执行率、科研创新平台、专利、科技服务、新品种培育等,才能更好实现科技投入的效率和质量。【结论】与传统的绩效评价方法相比,本文基于平衡计分卡理论和层次分析法建立的农业科研单位预算绩效评价方法,不仅融入了非财务指标维度,还将定量与定性指标相结合,能够多角度、全方位、个性化对目标对象开展更加科学的预算绩效评价,使科技投入效能和资金管理水平进一步提升。

基于启发式算法的计算机异构大数据跨源调度方法

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