地域文化元素融入都江堰旅游产品的设计策略

目的 针对目前市面上都江堰旅游产品识别性较弱、同质化严重，对具有地域文化特色的旅游产品开发较少的问题，以地域文化元素作为都江堰旅游产品设计的核心，提出旅游产品的设计策略。方法 研究都江堰旅游产品设计，应从地域化和文化内涵入手。通过分析旅游产品现状，地域文化元素及新旅游时代背景下旅游产品的发展趋势，结合情感化设计理念，围绕用户体验进行探究，总结出都江堰旅游产品设计开发模式。以李冰石像和鱼嘴段水利工程元素为例，进行产品实践。结论 提出符合都江堰区域特色的旅游产品设计策略，即树立品牌意识、打造IP形象，以地域文化元素为设计核心，加强情感互动、与科技相融合的设计策略。赋予旅游产品更深层次的内涵，打造更多具有地域文化特色的旅游产品，从而推动历史文化与商业价值的融合，也能够为同类型旅游产品提供具有应用价值和参考的设计策略和思路。     

南水北调中线总干渠藻类的生态调度

南水北调中线总干渠无在线调蓄水库,对藻类生态调度过程中出现的问题开展生态调度实现策略和实施方式研究。主要实现策略包括:划定自身的调蓄区,隔离生态调度对下游的影响;采用高效的渠池运行方式,减少生态调度时蓄量的反复调整;综合考虑安全、快速、平稳等需求,设定生态调度实施进程和方式。具体实施方式包括:将总干渠划分为流速调控区、调蓄区和正常运行区,分别实施等体积、控制蓄量和闸前常水位方式运行;将生态调度过程划分为充水阶段和泄水阶段,基于流速调控目标值、持续时长和水位降幅约束条件,确定各阶段时长和各分区的闸门群调控方案等。基于2018年3月输水工况,采用明渠一维非恒定流模型,仿真总干渠上游15个渠池的藻类生态调度过程。结果表明,生态调度可在3.5 d内完成,各渠池的平均流速由0.48 m/s增至0.93 m/s,持续时间超过2 h。在整个生态调度过程中,水位变化平稳,水位变幅符合安全阈值要求,下游渠道的正常运行未受生态调度明显影响。     

基于移动窗口法的城市遥感生态质量评价研究

为进一步提高城市生态监测的精确度，在前人开展的城市生态遥感监测研究的基础上引入“区域尺度”的概念，充分考虑小区域范围内不同地物间的交互作用，并利用移动窗口模型(Moving Window-Remote Sensing Ecology Index, MW-RSEI)对沈阳市浑南区的遥感影像进行逐像元分析。实验结果表明，MW-RSEI模型和生态遥感监测模型（Remote Sensing Ecology Index, RSEI)在整体生态评价趋势上表现出一致性。但MW-RSEI模型对城市生态中的细节区域表征更明显。考虑到建筑及裸地周围植被的影响，其较差生态区域的占比仅为6%，生态评价为优的区域占比为11%。研究区生态评价结果表现得较为连续，并未出现明显的断层现象。该结果具有现实意义且与实际生态分布更为符合。MW-RSEI模型在城市生态监测中更为适用，可为相关部门提供一定的技术参考。     

Cognitive and affective processes for learning science in immersive virtual reality

As immersive virtual reality (IVR) systems proliferate in classrooms, it is important to understand how they affect learning outcomes and the underlying affective and cognitive processes that may cause these outcomes. Proponents argue that IVR could improve learning by increasing positive affective and cognitive processing, thereby supporting improved performance on tests of learning outcome, whereas opponents of IVR contend that it could hurt learning by increasing distraction, thereby disrupting cognitive learning processes and leading to poorer learning outcomes. In a media comparison study, students viewed a biology lesson either as an interactive animated journey in IVR or as a slideshow on a desktop monitor. Those who viewed the IVR lesson performed significantly worse on transfer tests, reported higher emotional arousal, reported more extraneous cognitive load and showed less engagement based on EEG measures than those who viewed the slideshow lesson, with or without practice questions added to the lessons. Mediational analyses showed that the lower retention scores for the IVR lesson were related to an increase in self-reported extraneous cognitive load and emotional arousal. These results support the notion that immersive environments create high affective and cognitive distraction, which leads to poorer learning outcomes than desktop environments.     

西部山地旅游公共服务游客满意度评价研究——以318国道川藏线为例

文章在对相关研究进行文献综述的基础上,以318国道川藏线为例,提出西部山地旅游公共服务5个维度的游客感知假设,选用偏最小二乘结构方程模型(PLS-SEM)对游客满意度组合模型进行因子分析与假设检验。根据模型拟合结果分析,旅游信息类公共服务在西部山地旅游公共服务中供需矛盾最为突出,其次为旅游交通类公共服务和旅游安全保障管理类公共服务,相对而言,旅游基础设施类公共服务和休闲空间与旅游便民惠民类公共服务供需矛盾较小。该结果为西部山地旅游公共服务体系构建明确了发展方向。     

公民水素养评价表征因素模型构建与分析

针对我国水资源紧缺、水生态损害、水环境污染等相关水问题,以提升全民爱水惜水节水护水的意识和能力为目标,从水素养概念出发,通过扎根理论质性研究方法对公民水素养评价的表征因素进行筛选和提炼,最终得出包含水知识、水态度、水行为为主范畴的10个表征因素并运用解释结构模型(ISM)深入剖析各因素之间的内在联系。在此基础上建立了3级多层次递阶结构模型,进一步精确描述系统各要素两两之间的直接关系。结果表明:公民水素养评价的表征因素自上而下形成了表象层、中间层和根源层等3个层级,可直观、清晰地反映表征因素之间的递阶、层级关系;水态度在各表征因素中具有调节作用以及各表征因素之间存在内在逻辑关系。研究成果为提高公民水素养水平提供一定的科学依据和政策参考。     

生态伦理视角下的包装设计策略研究

如今人与自然的矛盾愈发凸显,生态系统失衡、资源危机等挑战接踵而至,可持续发展观应运而生,成为时代命题,也是时代目标。包装设计自然应当顺应时代需求,站在生态伦理视角重新思考其发展路径。针对包装中“过度包装”、“用材浪费”等有悖可持续发展要求的现象,从生态伦理视角出发,探究生态环保包装设计策略。引入生态伦理学理论,总结包装设计潜藏的生态伦理挑战,说明绿色生态包装设计的必要性与可行性,结合案例分析并阐述其设计策略,归纳出绿色生态包装设计的基本原则与设计方法。从生态伦理视角审视包装设计,有助于设计者建立生态环保意识与责任意识,了解包装设计的时代需求;同时跳脱出传统思维模式,对包装设计进行优化与创新。     

体育旅游业中“户外重厨房项目”应用价值研究

"户外重厨房项目"是一种源于美国科拉多大峡谷大河漂流旅游的营地厨房服务模式,其特点是以物资为基础有效降低户外运动旅行的不舒适性,从而提高参与者评价度,促进旅游者消费。该项目需要在专业建设中囊括体育、旅游相关产业的旅游院校参加,提供一条"旅游+体育+餐饮+酒管"专业人才培养模式,培养复合型旅游人才,以有利于产业的全面、可持续发展以及体育旅游服务质量的提升。     

Applied data science in patient-centric healthcare: Adaptive analytic systems for empowering physicians and patients

We define the emerging research field of applied data science as the knowledge discovery process in which analytic systems are designed and evaluated to improve the daily practices of domain experts. We investigate adaptive analytic systems as a novel research perspective of the three intertwining aspects within the knowledge discovery process in healthcare: domain and data understanding for physician- and patient-centric healthcare, data preprocessing and modelling using natural language processing and (big) data analytic techniques, and model evaluation and knowledge deployment through information infrastructures. We align these knowledge discovery aspects with the design science research steps of problem investigation, treatment design, and treatment validation, respectively. We note that the adaptive component in healthcare system prototypes may translate to data-driven personalisation aspects including personalised medicine. We explore how applied data science for patient-centric healthcare can thus empower physicians and patients to more effectively and efficiently improve healthcare. We propose meta-algorithmic modelling as a solution-oriented design science research framework in alignment with the knowledge discovery process to address the three key dilemmas in the emerging “post-algorithmic era” of data science: depth versus breadth, selection versus configuration, and accuracy versus transparency.