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北山国家地质公园具有重要地学研究价值,是保护母亲河行动生态教育基地之一。应用SWOT分析方法对公园开发、保护过程中面临的优势、劣势、机遇、威胁四方面进行动态分析,为旅游资源开发与保护提供科学参考。公园拥有得天独厚的生态环境、优越的地理位置,丰富的地质遗迹资源,为旅游开发、科普奠定了坚实基础。与此同时开发过程中旅游资源整合不够、地质公园遗迹保护缺失、地学文化挖掘力度不够等问题日益凸显。在当前旅游发展新形势下,旅游行业进入新时代、地学旅游得到新倡导、乡村振兴提出新思路,迎来新的机遇,也面临地质公园保护与开发矛盾、旅游市场的更新迭代、地质公园的受众群体多元化影响的新挑战。在当前时代背景下,在保证可持续发展前提下,建立健全基础服务设施与管理制度、规范地质公园建设、健全旅游配套设施和景区服务、开发精品地质科普旅游路线、打造乡村振兴示范区,助力北山国家地质公园新发展。 相似文献
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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. 相似文献
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近年来,我国建材企业的发展遇到了一些困难,发展的步伐变得迟缓。以科技产业化的方式拓展海外市场给企业发展增加了一个选项,客观上带来了新的发展机遇。 相似文献
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Omar S. Ahmed Charles Tardif Caroline Rouger Vessela Atanasova Florence Richard-Forget Pierre Waffo-Téguo 《Comprehensive Reviews in Food Science and Food Safety》2022,21(2):1161-1197
Mycotoxins are metabolites produced by molds that contaminate food commodities, are harmful to both humans and animals, as well as cause economic losses. Many countries have set regulatory limits and strict thresholds to control the level of mycotoxins in food and feedstuffs. New technologies and strategies have been developed to inhibit toxigenic fungal invasion and to decontaminate mycotoxins. However, many of these strategies do not sufficiently detoxify mycotoxins and leave residual toxic by-products. This review focuses on the use of phenolic compounds obtained from botanical extracts as promising bioagents to inhibit fungal growth and/or to limit mycotoxin yields. The mechanism of these botanicals, legislation concerning their use, and their safety are also discussed. In addition, recent strategies to overcome stability and solubility constraints of phenolic compounds to be used in food and feed stuffs are also mentioned. 相似文献
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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. 相似文献
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目前,中国较多大中城市相继进入轨道交通时代,但科普渠道并未得到拓展,科普作品质量不高,科普工作仍滞后于轨道交通发展。“微课”满足个性化学习的需求,也适用于移动学习时代科普知识的传播。针对当前国内轨道交通建设高速发展过程中科普工作滞后的现状,从匹配视角对轨道交通科普需求与“微课”关键特征进行解析,分析“科普-微课”关键特征匹配现状及存在的问题。在对“微课”部分关键特征进行改进的基础上,构建完全匹配的轨道交通“科普-微课”体系。将微信及其公众号作为科普载体,利用“微课”教学资源在居民中开展轨道交通知识科普工作,可显著提高科普效果。 相似文献