浅谈幼儿园管理发展问题

为了在新形势下的教育体制改革中有所发展和进步,幼儿园管理面临着巨大的挑战.作为一名优秀的管理者,应总结当前管理工作的不足之处,结合幼儿园自身的特点,响应政府的改革计划,制订符合本园发展的特色制度,以人为本、科学管理,以实现儿童的全面发展.     

陕西秦岭山地体育旅游资源特征及开发模式分析＊

体育旅游作为一种新兴的旅游产品,正在慢慢走近人们的生活中。它将体育与旅游结合起来,在满足了人们休闲旅游需求的同时,也锻炼了身体,因此,受到了许多人的青睐。特别是山地体育旅游,它已经成为了广大旅游者的首要选择。在山地体育旅游蓬勃发展的大背景下,着重研究了陕西秦岭的山地体育旅游资源,分析了它的优势,并提出了合理的建议,以促进山地体育旅游的发展。     

酸性镀锡液的新进展

从近几年美国发明专利的角度扼要综述酸性镀锡液的新进展。说明酸性镀锡液由氟硼酸盐型发展为烷基磺酸盐型的改进过程。列出参考文献９篇。     

壳聚糖固定化脲酶生物传感器选择性测定铜离子

基于重金属对脲酶的抑制作用,研制了用于测定铜离子的生物传感器。该生物传感器的制备以壳聚糖为载体,将脲酶固定于pH电极表面。由于壳聚糖对Cu2+的富集,该生物传感器展现出高灵敏度。在样品溶液中加入5 mmol/L NaI,可以消除Hg2+和Ag+的干扰,从而实现Cu2+的选择性检测。在0.005～0.5μg/mL的浓度范围内,脲酶活性的抑制率与Cu2+浓度的对数呈良好的线性响应关系,其检出限为0.002μg/mL。将使用后的生物传感器浸泡于0.5 mmol/L的EDTA溶液再生5 min,被Cu2+抑制的脲酶的活性可以得到恢复。     

大学计算机基础课程基于分级的专题教学方案探索

大学计算机基础课在高校越来越受到重视,结合目前计算机基础教学的现实情况和分级教学的不足,提出了基于分级的专题教学方案。此教学方案在分级的基础上,增设了"应用技能提高"的专题教学和实践教学,以达到提高学生计算机应用能力的目的。此方案有利于保留分级教学的优势,改进其不足;有利于因材施教、提高学生的学习兴趣、发挥教师特长。但是在实施过程中还存在若干问题需要我们进一步研究。     

教学研究型大学信息安全专业人才培养方案优化和实践

分析了信息安全专业的特点;讨论了教学研究型大学信息安全专业人才培养中存在的人才特点不够鲜明、动手能力不足、知识不够全面、自主学习时间得不到保证等问题;针对信息安全专业的特点和教学研究型大学的自身情况,提出了增强学生实践能力、优化课程设置、提高教师素质等优化措施。这些优化措施在本校得以实践,对于解决教学研究型大学存在的问题具有较好的效果。     

基于AJAX技术创建的异步方法应用研究

遵循AJAX技术的基本原理,创建了一个简单的异步引用方法,并给出登录实例来说明如何实现该方法的引用,减少代码冗余。主要阐述了通过创建方法,并引用方法到不同Web应用程序中,实现了代码的优化。     

An alternate quantum adiabatic evolution for the Deutsch–Jozsa problem

Deutsch–Jozsa algorithm has been implemented via quantum adiabatic evolutions by Das et al. (Phys Rev A 65:062310, 2002) and Wei et al. (Phys Lett A 354:271, 2006). In the latter literature, the authors have shown a modified version of the adiabatic evolution which can improve the performance of the algorithm of S. Das et al’s to constant time. In this paper, we also improve the algorithm of S. Das et al’s in a constant time but by using a different construction of adiabatic evolution, i.e., adding ancillary qubits. The algorithm in this paper provides an alternative option to potential users.     

A New Robust Adaptive Control of Uncertain Nonlinear Systems and Pendulum Application

A new robust adaptive control of uncertain nonlinear systems is proposed in this paper. The proposed method combines sliding mode control with the immersion and invariance (I&I) adaptive scheme, and it has more available degrees of freedom than using the backstepping scheme. Via the proposed method, a class of nonlinear systems with mismatched parametric perturbations can be rendered asymptotically stable and the performance of the system can also be improved. Finally, the proposed method is applied to a simple pendulum with motor dynamics, and simulation results show the effectiveness and performance of the proposed method.     

An ensemble evolutionary constraint-based approach to understand the emergence of metabolic phenotypes

Constraint-based modeling is largely used in computational studies of metabolism. We propose here a novel approach that aims to identify ensembles of flux distributions that comply with one or more target phenotype(s). The methodology has been tested on a small-scale model of yeast energy metabolism. The target phenotypes describe the differential pattern of ethanol production and O₂ consumption observed in “Crabtree-positive” and “Crabtree-negative” yeasts in changing environment (i.e., when the upper limit of glucose uptake is varied). The ensembles were obtained either by selection among sampled flux distributions or by means of a search heuristic (genetic algorithm). The former approach provided indication about the probability to observe a given phenotype, but the resulting ensembles could not be unambiguously partitioned into “Crabtree-positive” and “Crabtree-negative” clusters. On the contrary well-separated clusters were obtained with the latter method. The cluster analysis further allowed identification of distinct groups within each target phenotype. The method may thus prove useful in characterizing the design principles underlying metabolic plasticity arising from evolving physio-pathological or developmental constraints.