校地合作背景下“双师型”教师服务行业产业路径研究——以酒店管理专业为例     

许爱云 《河北旅游职业学院学报》2020,(1):76-79

通过校企合作背景下酒店管理专业"双师型"教师服务行业产业的路径的探讨和研究,帮助酒店管理专业"双师型"教师找到服务行业产业的路径,提高教师服务地方经济发展的能力,加强校企深度融合,促进"双师型"教师的成长,优化高职院校师资队伍结构,为我校师资队伍建设提供理论依据和实践指导,同时也为建设适于酒店管理专业高职教育的高水平的师资队伍提供可行的参考方法和理论依据。  相似文献   

高校体育场馆对外开放突发事件的应急管理机制研究     

王骏  刘海荣  何宁宁  廖大伟 《沈阳体育学院学报》2020,(2):125-132

运用文献资料、实地调查等研究方法,对我国高校体育场馆对外开放突发事件应急管理现状进行调查分析。发现目前我国高校体育场馆对外开放过程中,存在缺乏突发事件应急预案的研制、对安全风险评估不足、缺乏急救设施的配置、场馆现场管理人员缺乏应急管理的培训与演练、场馆现场管理人员数量不足的问题。在高校体育场馆突发事件应急管理发展现状基础上,依托应急管理理论与应急救援理论,架构由突发事件识别与评估模块、决策系统模块、应急救助体系模块、应急预案选择模块、应急救援的执行模块所组成的我国高校体育场馆对外开放突发事件应急管理机制。建议:完善场馆管理规章制度,形成场馆对外开放突发事件应急长效管理机制;加强员工的应急管理理论培训与技能学习;制定各类应急预案并进行演练;保持突发事件应急救援稳定的对外联系畅通。  相似文献   

基于消费者低碳偏好的供应链碳减排策略     

熊榕  梁承姬  韩婷婷 《上海海事大学学报》2019,40(4):52-60

针对一个占主导地位的零售商和两个制造商(名牌产品和普通产品制造商)组成的二级供应链,考虑制造商之间的定价顺序和低碳偏好消费者对普通产品的接受度,分别构建普通产品制造商采用或不采用减排技术情景下的收益模型,得出各情景下最优零售价格和收益。研究发现:零售商选择销售哪种产品与顾客对普通产品的接受度有关;普通产品制造商的减排策略主要取决于减排成本。在相同减排策略下,若顾客对普通产品接受度较大,制造商同时定价时产品的最优零售价小于等于不同时定价时产品的最优零售价,而同时定价时制造商的最优收益大于等于不同时定价时的最优收益,因此两个制造商应同时定价以获得更大的收益。  相似文献   

The work of the audience: visual matrix methodology in museums     

Lynn Froggett  Lizzie Muller  Jill Bennett 《Cultural Trends》2019,28(2-3):162-176

ABSTRACT

Visual matrix methodology has been designed for researching cultural imaginaries. It is an image-led, group-based method that creates a “third space” research setting to observe audience groups re-enacting lived experience of an event or process that takes place in the third space of a cultural setting. In this article, the method is described through its use in relation to an art-science exhibition, Human+ Future of the species, where three audience groups with investments in technology worked with exhibition material to achieve a complex ambivalent state of mind regarding technological futures. The visual matrix has been designed to capture the affective and aesthetic quality of audience engagement in third space by showing what audiences do with what is presented to them. We argue that such methodologies are useful for museums as they grapple with their role as sites where citizens not only engage in dialogue with one another but actively re-work their imaginaries of the future.  相似文献   

短跑专项力量训练手段训练效应的实证研究——以拖重物跑为例     

王蓓  谢慧松  刘少飞 《武汉体育学院学报》2019,53(8):82-88

研究目的：探究拖重物跑训练手段对短跑运动员的身体素质、途中跑阶段的技术特征及下肢环节肌肉力量的影响，深入认识其对短跑途中跑技术和专项力量的作用机制。研究方法：对14名男子二级左右水平短跑运动员进行为期8周每周3次6%~10% BM负荷的拖重物跑训练，采用高速摄像分析法、等动肌力测试法分析运动员身体素质；支撑阶段髋、膝、踝关节运动学参数和下肢各环节肌肉力量实验前后的变化情况。结果：（1）实验后运动员30m、60m、立定跳远、立定三级跳远等身体素质及专项成绩显著提高；（2）步长、重心水平速度显著性提高，两大腿剪绞平均速度提高、单步时间减少；支撑阶段最小膝、踝角显著降低，角速度提高；（3）髋、膝关节伸/屈肌群PT/BW、AP除膝关节60°/sPT/BW值未见统计学意义，其余各角速度下PT/BW、AP均呈显著性差异，踝关节跖屈肌群各角速度下PT/BW值显著提高，跖屈肌群60°/s速度下AP提高，背屈肌群AP略降低。结论：适宜负荷的拖重物跑训练可显著改善短跑运动员运动素质、提高运动成绩；有利于提高髋关节剪绞-制动力量，使膝、踝关节处于低位超等长"屈蹬"状态；提高了髋、膝关节屈伸肌群快速主动收缩能力及踝关节跖屈肌群退让性快速收缩能力。  相似文献   

Bayesian reasoning in avalanche terrain: a theoretical investigation     

Philip A. Ebert 《Journal of Adventure Education & Outdoor Learning》2019,19(1):84-95

In this article, I explore a Bayesian approach to avalanche decision-making. I motivate this perspective by highlighting a version of the base-rate fallacy and show that a similar pattern applies to decision-making in avalanche-terrain. I then draw out three theoretical lessons from adopting a Bayesian approach and discuss these lessons critically. Lastly, I highlight a number of challenges for avalanche educators when incorporating the Bayesian perspective in their curriculum.  相似文献   

基于游戏化学习的科技馆展示艺术设计探讨     

胡毓轩 《科教导刊》2020,(1):117-118

随着游戏化学习这种新型学习方式的出现与广泛应用,科技馆为了紧随时代的发展脚步开始积极引入各种科普游戏。本文从当前开发的具备学习和教育功能游戏展示角度出发,探究这类游戏对场馆和硬件设施的要求,落实科技馆展示艺术设计工作,从而为关注这一话题的人们提供参考。  相似文献   

上海市大学生徒步穿越风险管理研究          下载免费PDF全文

景俊杰  陈泽旭 《体育科研》2019,(2):56-63

在对专家和领队访谈，对大学生徒步穿越活动参与者问卷调查，以及现场观察等调研的基础上，从户外运动风险源出发对上海市大学生徒步穿越风险管理问题进行系统分析，发现：大学生徒步穿越存在不少风险管理漏洞，但简单禁止活动开展反而会导致风险转移和扩散；应该着重从参与者等“人”的风险因素出发防范风险事故发生，以天气变化等部分“环境”风险因素应对进行探险体验，尽快提高指导教师和社团骨干的专业能力；高校应该对网约结伴方式参与徒步穿越活动进行风险警示，并强制性要求社团制定活动风险应急预案等。  相似文献   

Writer identification approach based on bag of words with OBI features     

Amal Durou  Ibrahim Aref  Somaya Al-Maadeed  Ahmed Bouridane  Elhadj Benkhelifa 《Information processing & management》2019,56(2):354-366

Handwriter identification aims to simplify the task of forensic experts by providing them with semi-automated tools in order to enable them to narrow down the search to determine the final identification of an unknown handwritten sample. An identification algorithm aims to produce a list of predicted writers of the unknown handwritten sample ranked in terms of confidence measure metrics for use by the forensic expert will make the final decision.Most existing handwriter identification systems use either statistical or model-based approaches. To further improve the performances this paper proposes to deploy a combination of both approaches using Oriented Basic Image features and the concept of graphemes codebook. To reduce the resulting high dimensionality of the feature vector a Kernel Principal Component Analysis has been used. To gauge the effectiveness of the proposed method a performance analysis, using IAM dataset for English handwriting and ICFHR 2012 dataset for Arabic handwriting, has been carried out. The results obtained achieved an accuracy of 96% thus demonstrating its superiority when compared against similar techniques.  相似文献   

Online portfolio management via deep reinforcement learning with high-frequency data     

《Information processing & management》2023,60(3):103247

Recently, models that based on Transformer (Vaswani et al., 2017) have yielded superior results in many sequence modeling tasks. The ability of Transformer to capture long-range dependencies and interactions makes it possible to apply it in the field of portfolio management (PM). However, the built-in quadratic complexity of the Transformer prevents its direct application to the PM task. To solve this problem, in this paper, we propose a deep reinforcement learning-based PM framework called LSRE-CAAN, with two important components: a long sequence representations extractor and a cross-asset attention network. Direct Policy Gradient is used to solve the sequential decision problem in the PM process. We conduct numerical experiments in three aspects using four different cryptocurrency datasets, and the empirical results show that our framework is more effective than both traditional and state-of-the-art (SOTA) online portfolio strategies, achieving a 6x return on the best dataset. In terms of risk metrics, our framework has an average volatility risk of 0.46 and an average maximum drawdown risk of 0.27 across the four datasets, both of which are lower than the vast majority of SOTA strategies. In addition, while the vast majority of SOTA strategies maintain a poor turnover rate of approximately greater than 50% on average, our framework enjoys a relatively low turnover rate on all datasets, efficiency analysis illustrates that our framework no longer has the quadratic dependency limitation.  相似文献