目的:近年来的研究数据显示,中国孤独症儿童的患病率持续上升,引起了学术界的关注。如何有效地对孤独症儿童进行干预和治疗,已成为当前亟待解决的问题。社会各界纷纷呼吁重视与关怀孤独症群体,建立更加科学、人性化和本土化的干预辅助...目的:近年来的研究数据显示,中国孤独症儿童的患病率持续上升,引起了学术界的关注。如何有效地对孤独症儿童进行干预和治疗,已成为当前亟待解决的问题。社会各界纷纷呼吁重视与关怀孤独症群体,建立更加科学、人性化和本土化的干预辅助体系。文章探讨符合我国孤独症儿童认知特点的PECS(Picture Exchange Communication System,图片交流沟通系统)行为训练图卡插图的设计表现风格,以增强图卡的有效性和吸引力。方法:通过系统的文献研究、线上调研以及专业意见收集,深入研究儿童插图的发展现状,并结合孤独症儿童的视觉偏好,总结出符合我国孤独症儿童PECS行为训练图卡插图的设计表现风格。结论:研究结果表明,扁平化、简洁具象化的插图风格更符合我国孤独症儿童的审美偏好,清晰的图形及具象化的表达方式能降低认知负担,使图像更易于理解,有助于提供稳定且可预测的视觉信息,符合孤独症儿童对简单直观视觉元素的偏好,能够显著提高孤独症儿童的学习兴趣和参与度,从而增强孤独症儿童的行为能力和沟通表达能力。设计应遵循独特的创意表达、简化和重复、注重细节等原则,从而使孤独症儿童PECS行为训练图卡满足孤独症儿童的学习、表达和发展需求。展开更多
本研究针对水电站的照明用电需求,设计了一套基于光电化学电池(Photoelectrochemical Cell,PEC)技术的自主照明电源系统。该系统采用高效率的单晶硅光伏组件作为光电转换设备,结合镍氢电池构建储能单元,并通过最大功率点跟踪(Maximum Po...本研究针对水电站的照明用电需求,设计了一套基于光电化学电池(Photoelectrochemical Cell,PEC)技术的自主照明电源系统。该系统采用高效率的单晶硅光伏组件作为光电转换设备,结合镍氢电池构建储能单元,并通过最大功率点跟踪(Maximum Power Point Tracking,MPPT)技术和智能化控制策略,实现了对水电站照明负荷的稳定供电。实验结果表明,系统在连续运行15 d的测试中,光伏发电量、储能容量以及负荷供电均达到预期目标,证明了系统的高效性、稳定性以及可靠性。此外,系统的模块化设计和智能控制策略提高了系统的灵活性与可维护性,为水电站提供了一种环保、高效且经济的照明解决方案。展开更多
Public environmental concern(PEC)is an important bottom-up force in building an environmentally sustainable society.Guided by attitude theory,this paper innovatively constructed a PEC evaluation index system,while int...Public environmental concern(PEC)is an important bottom-up force in building an environmentally sustainable society.Guided by attitude theory,this paper innovatively constructed a PEC evaluation index system,while introducing entropy weighted-TOPSIS(Technique for Order Preference by Similarity to Ideal Solution)to realize the assessment of PEC.Exploratory spatial data analysis was used to portray the spatio-temporal evolution patterns of PEC in 362 Chinese cities at prefecture-level and above from 2011 to 2018.Furthermore,the Geodetector model was performed to identify the multi-dimensional determinants of PEC from the perspective of spatial heterogeneity.The results indicated that:1)PEC in China exhibited a fluctuating upward trend,consistent with the spatial distribution law of‘Heihe-Tengchong Line’and‘Bole-Taipei Line’;2)the driving effect of each factor varied dynamically,but in general,economic development level,population size,industrial wastewater,and education level were the dominant driving factors explaining the spatial variation of PEC;3)risk detection revealed that four factors,government environmental regulations,PM_(2.5),vegetation coverage,and natural resource endowment,had nonlinear effects on PEC;4)the interactions between factors all demonstrated an enhancement in explaining the spatial differentiation of PEC.PEC was driven by the comprehensive interaction of four-dimensional factors of economy,society,pollutant emissions,and ecology.Among them,population agglomeration accompanied by a high level of regional economy and information technology can explain the increase in PEC to the greatest extent.展开更多
文摘目的:近年来的研究数据显示,中国孤独症儿童的患病率持续上升,引起了学术界的关注。如何有效地对孤独症儿童进行干预和治疗,已成为当前亟待解决的问题。社会各界纷纷呼吁重视与关怀孤独症群体,建立更加科学、人性化和本土化的干预辅助体系。文章探讨符合我国孤独症儿童认知特点的PECS(Picture Exchange Communication System,图片交流沟通系统)行为训练图卡插图的设计表现风格,以增强图卡的有效性和吸引力。方法:通过系统的文献研究、线上调研以及专业意见收集,深入研究儿童插图的发展现状,并结合孤独症儿童的视觉偏好,总结出符合我国孤独症儿童PECS行为训练图卡插图的设计表现风格。结论:研究结果表明,扁平化、简洁具象化的插图风格更符合我国孤独症儿童的审美偏好,清晰的图形及具象化的表达方式能降低认知负担,使图像更易于理解,有助于提供稳定且可预测的视觉信息,符合孤独症儿童对简单直观视觉元素的偏好,能够显著提高孤独症儿童的学习兴趣和参与度,从而增强孤独症儿童的行为能力和沟通表达能力。设计应遵循独特的创意表达、简化和重复、注重细节等原则,从而使孤独症儿童PECS行为训练图卡满足孤独症儿童的学习、表达和发展需求。
文摘本研究针对水电站的照明用电需求,设计了一套基于光电化学电池(Photoelectrochemical Cell,PEC)技术的自主照明电源系统。该系统采用高效率的单晶硅光伏组件作为光电转换设备,结合镍氢电池构建储能单元,并通过最大功率点跟踪(Maximum Power Point Tracking,MPPT)技术和智能化控制策略,实现了对水电站照明负荷的稳定供电。实验结果表明,系统在连续运行15 d的测试中,光伏发电量、储能容量以及负荷供电均达到预期目标,证明了系统的高效性、稳定性以及可靠性。此外,系统的模块化设计和智能控制策略提高了系统的灵活性与可维护性,为水电站提供了一种环保、高效且经济的照明解决方案。
基金Under the auspices of National Social Science Foundation of China(No.21BJY194)Natural Science Foundation of Hainan Province(No.722RC631)。
文摘Public environmental concern(PEC)is an important bottom-up force in building an environmentally sustainable society.Guided by attitude theory,this paper innovatively constructed a PEC evaluation index system,while introducing entropy weighted-TOPSIS(Technique for Order Preference by Similarity to Ideal Solution)to realize the assessment of PEC.Exploratory spatial data analysis was used to portray the spatio-temporal evolution patterns of PEC in 362 Chinese cities at prefecture-level and above from 2011 to 2018.Furthermore,the Geodetector model was performed to identify the multi-dimensional determinants of PEC from the perspective of spatial heterogeneity.The results indicated that:1)PEC in China exhibited a fluctuating upward trend,consistent with the spatial distribution law of‘Heihe-Tengchong Line’and‘Bole-Taipei Line’;2)the driving effect of each factor varied dynamically,but in general,economic development level,population size,industrial wastewater,and education level were the dominant driving factors explaining the spatial variation of PEC;3)risk detection revealed that four factors,government environmental regulations,PM_(2.5),vegetation coverage,and natural resource endowment,had nonlinear effects on PEC;4)the interactions between factors all demonstrated an enhancement in explaining the spatial differentiation of PEC.PEC was driven by the comprehensive interaction of four-dimensional factors of economy,society,pollutant emissions,and ecology.Among them,population agglomeration accompanied by a high level of regional economy and information technology can explain the increase in PEC to the greatest extent.
