Managing the Risk of Aggressive Dog Behavior: Investigating the Influence of Owner Threat and Efficacy Perceptions

Aggressive behavior in pet dogs is a serious problem for dog owners across the globe, with bite injuries representing a serious risk to both people and other dogs. The effective management of aggressive behavior in dogs represents a challenging and controversial issue. Although positive reinforcement training methods are now considered to be the most effective and humane technique to manage the risk of aggression, punishment‐based methods continue to be used. Unfortunately, there has been little scientific study into the various factors influencing whether dog owners choose to use positive reinforcement techniques to manage aggression in their dogs. As such, current understanding of how best to encourage and support dog owners to use these methods remains extremely limited. This article uses a survey methodology based on protection motivation theory (PMT) to investigate the factors that influence owner use of positive reinforcement methods to manage aggressive behavior, in an attempt to understand potential barriers and drivers of use. In addition, the article provides an initial exploration of the potential role of wider psychological factors, including owner emotional state, social influence, and cognitive bias. Findings show that the perceived efficacy of positive reinforcement methods and the perceived ability of owners to effectively implement the technique are both key factors predicting future intentions and current reported use. Future interventions should focus on enhancing owner confidence in the effective use of positive reinforcement techniques across multiple scenarios, as well as helping owners manage their own emotional responses when they encounter challenging situations and setbacks.     

一种自适应斜坡补偿电路

基于CMOS工艺设计了一种能够自动调节补偿斜率的斜坡补偿电路。该电路可以跟随输入和输出信号的变化,相应地给出适当的斜坡补偿量,不仅使得峰值电流模式BOOST变换器可以稳定工作,而且可以避免补偿不当的现象,保证变换器有足够快的瞬态响应。仿真结果表明该电路产生的斜坡补偿信号的精度可以达到83%以上。     

Is a Reasonable Attempt Reasonable? Shaping Versus Reinforcing Verbal Attempts of Preschoolers with Autism

The effectiveness of a language-training procedure that emphasized reinforcing vocal “reasonable attempts” (any response directed at an interventionist and within a broader class of correct responses) was compared with a procedure that emphasized shaping (reinforcing successive approximations that more closely resembled the target vocalization). Three preschoolers who had been diagnosed with autism spectrum disorders participated in the study. Data indicated that the children mastered vocal skills more rapidly when they learned through shaping than in the reasonable attempts condition. Implications for teaching children with autism spectrum disorders are discussed.     

潜在成长模型在体育运动领域的应用

介绍了潜在成长模型的发展、类型和内容,通过分析、归纳、整理等,比较了潜在成长模型与传统t检验、方差分析、回归分析的差别,探讨了潜在成长模型研究设计的要求,通过台湾棒球职业球员薪酬成长模型说明。利用文献调查法,分析了LGM潜在成长模型在体育运动领域中应用的概况,举例说明体育运动领域应用LGM的情况,证实了未来潜在成长模型会在体育科学领域逐渐受到重视并得到快速发展。     

强化学习型匝道控制模型的研究

高速公路上的交通堵塞造成了道路利用效率低下，并伴随着能源消耗和环境污染问题，因此各种各样的高速公路控制方法应用于缓解交通堵塞。本文提出强化学习型匝道控制模型，该模型以交通流模拟为预测工具，以人工智能的强化学习为最优化选择模型，并具有一定的自主性、有记忆功能和性能反馈功能，且是一种动态的过程。应用JAVA针对不同的交通状态进行模拟再现，模拟结果表明匝道控制模型对于减少交通堵塞具有显著的效果。     

基于数字照相技术的边坡变形自动化监测技术研究

将数字摄影测量技术应用于边坡位移自动监测。在边坡上布设固定标志点，将非量测数码相机置于边坡正面，运用程序控制相机间隔一定时间对边坡进行拍摄。对拍摄图像预处理后使用圆心亚像素识别算法确定测点亚像素位置。根据标志初始实际距离与初始相片像素距离建立物象比例，对比各次识别结果得到各测点实际的相对位移。运用GPS技术和计算机技术，本系统可实现数据交换、控制指令发送和预警的适时监控。本系统采用非量测数码相机，相对于传统边坡检测方法具有成本低，精度高，需要人工干预少等优点，现场试验50 m距离识别精度达到3 mm，取得较好效果，可以作为大量边坡自动化监测的有效手段。     

修复与强化:美韩同盟关系的新发展

1953年10月美韩同盟建立至今,两国关系起伏不断,曲折发展。2008年李明博上台后,美韩关系进入"修复"期,2010年3月的"天安号事件"和11月的延坪岛炮击事件为两国关系注入了"固化剂"。美韩同盟的强化是多重因素综合作用的结果,其中既有中国崛起的宏观背景,也与美韩两国出于国家利益的战略选择密切相关,突发事件成为美韩同盟强化的直接动因。美韩同盟关系的新发展对中国东北亚安全利益产生了一些不利影响,如何应对当前的被动局面,有效化解中国与周边国家的矛盾,事关中国和平发展的大局,值得我们认真思考。     

Fast On-Line/Off-Line Algorithms for Optimal Reinforcement of a Network and its Connections with Principal Partition

The problem of computing the strength and performing optimal reinforcement for an edge-weighted graph G(V, E, w) is well-studied. In this paper, we present fast (sequential linear time and parallel logarithmic time) on-line algorithms for optimally reinforcing the graph when the reinforcement material is available continuously on-line. These are the first on-line algorithms for this problem. We invest O(|V|³|E|log|V|) time (equivalent to (|V|) invocations of the fastest known algorithms for optimal reinforcement) in preprocessing the graph before the start of our algorithms. It is shown that the output of our on-line algorithms is as good as that of the off-line algorithms. Thus our algorithms are better than the fastest off-line algorithms in situations when a sequence of more than (|V|) reinforcement problems need to be solved. The key idea is to make use of ideas underlying the theory of Principal Partition of a Graph. Our ideas are easily generalized to the general setting of polymatroid functions. We also present a new efficient algorithm for computation of the Principal Sequence of a graph.     

A graphical method for evaluating mixture designs with respect to the slope

Good estimation of the slopes of the mixture response function may be important as well as estimation of mean mixture response. It is possible to evaluate and compare several mixture designs with respect to the slope. A graphical method is proposed that allows us to evaluate a given design's support for the fitted model in terms of slope variance. We can plot variances of slopes along Cox direction or axial direction according to existence of restriction of simplex region or not when comparing several different mixture designs.     

切实增强失地农民再就业培训的实效

目前,失地农民失业形势比较严峻,根本原因是其自身素质相对偏低,切实开展失地农民再就业培训势在必行。但由于制度规范缺乏、思想观念滞后、宣传工作较薄弱、培训针对性和实用性不强、管理机制不健全等因素制约,失地农民培训和再就业的效果仍不甚明显。因此,应尽快制定相关制度、加强宣传引导工作、实施有效的示范和激励、注重培训需求的表达和整合、建立健全管理机制等,以增强失地农民再就业培训实效。