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Virtual reality based multiple life skill training for intellectual disability:A multicenter randomized controlled trial

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Engineered Regeneration 2022年第2期3卷 121-130页

作者： James Chung-Wai Cheung Ming Ni Andy Yiu-Chau Tam Tim Tin-Chun Chan Alyssa Ka-Yan Cheung ocean yu-hong tsang Chi-Bun Yip Wing-Kai Lam Duo Wai-Chi Wong Department of Biomedical Engineering Faculty of EngineeringThe Hong Kong Polytechnic UniversityHong Kong 999077China Research Institute for Smart Ageing The Hong Kong Polytechnic UniversityHong Kong 999077China Jockey Club Smart Ageing Hub Department of Biomedical EngineeringFaculty of EngineeringThe Hong Kong Polytechnic UniversityHong Kong 999077China Department of Orthopaedics Pudong New Area People’s Hospital Affiliated to Shanghai Jiaotong UniversityShanghai 201299China Social Service Department Yan Chai HospitalHong Kong 999077China C2 Innovations and Research Limited Hong Kong 999077China Department of Kinesiology Shenyang Sport UniversityShenyang 110102China Sports Information and External Affairs Centre Hong Kong Sports InstituteHong Kong 999077China

Life skill-based training is essential for intellectual disabled individuals to regain autonomy and social *** reality(VR)could deliver a nascent application that is more engaging and *** objective of this study was to evaluate the training effects of the VR-based multiple life skill training program on life skill perfor-mance,self-efficacy,memory,cognitive and behavioral functions via a multicenter randomized controlled trial.A total of 145 intellectual disabled participants were recruited for a randomized controlled trial with three in-tervention arms:VR(n=42);traditional(n=53);and control(n=50).The life skill tasks for the interventions included 1)grocery shopping,2)cooking,and 3)kitchen *** measures were performance scores for the three tasks,self-efficacy scale,digit span score,and Frontal Assessment Battery score,graded by blinded ***-after effects of each group were evaluated using separated Wilcoxon Signed-rank *** sig-nificantly improved cooking,cleaning performance,and memory span,while traditional training significantly improved shopping,cooking,and cleaning *** generalized estimating equation evaluated effects between groups adjusted for age,gender and intelligence quotient(IQ).VR had significantly larger improvement effects in cooking and cleaning than the control group and memory span compared to traditional training and controls *** appeared to be a significant confounder on the training *** work may consider developing artificial intelligence to customize programs depending on IQ level.

关键词： Mental retardation Intellectual development X-reality Immersive rehabilitation Metaverse

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Analysis of Landslide Dam Geometries

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Journal of Mountain Science 2011年第4期8卷 544-550页

作者： tsang yun-Chung SHIEH Chjeng-Lun Department of Hydraulic and ocean Engineering National Cheng-Kung University

The geometry of a landslide dam is an important component of evaluating dam ***,the geometry of a natural dam commonly cannot be obtained immediately with field investigations due to their remote locations.A rapid evaluation model is presented to estimate the geometries of natural dams based on the slope of the stream,volume of landslides,and the properties of the *** proposed model uses high resolution satellite images to determine the geometry of the landside *** satellite images are the basic information to a preliminary stability analysis of a natural *** study applies the proposed method to two case studies in *** is the earthquakeinduced Lung-Chung landslide dam in Taitung,and the second is the rainfall-induced Shih-Wun landslide dam in Pingtung.

关键词：几何形状滑坡坝结构分析评估模型稳定性评估稳定性分析组成部分卫星图像

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High genetic diversity and strong differentiation in dramatically fluctuating populations of Zostera japonica(Zosteraceae):implication for conservation

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Journal of Plant Ecology 2018年第5期11卷 789-797页

作者： Kai Jiang Po-Keung Eric tsang Na-Na Xu Xiao-Yong Chen School of Ecological and Environmental Sciences Shanghai Key Lab of Urban Ecological Processes and Eco-RestorationEast China Normal UniversityShanghai 200241China Shanghai Chenshan Plant Science Research Center Chinese Academy of SciencesChenshan Botanical GardenShanghai 201602China Department of Science and Environmental Studies The Education University of Hong KongHong KongChina School of Fishery Zhejiang Ocean UniversityZhoushan 326022China

Aims Seagrasses provide a variety of ecosystem goods and services,but they are subjected to frequently anthropogenic *** this study,we genotyped samples collected from Zostera japonica mead-ows with dramatic fluctuations in the area in order to understand the distribution of genetic variation within and among *** We collected samples from eight extant populations along coastal areas of southern *** polymorphic microsatellites were adopted to genotype the *** of genetic diversity and differentiation were calculated with general *** Findings High levels of genetic diversity were found in the studied populations,suggesting that the effective population size has not decreased signifi-cantly,which was supported by no signs of recent *** genetic diversity reflects an important role of sexual seedling recruit-ment in *** *** found a significant relationship between genetic differentiation and the shortest sea surface distance of populations,suggesting that ocean currents play a critical role in shap-ing the genetic structure of *** *** soft-ware analysis clustered the eight populations into two groups:western and eastern populations separated by the Qiongzhou Strait/Leizhou Peninsula,hinting that there was very limited gene flow through the narrow strait in this marine *** populations had high contribu-tion diversity and,thus,high priority for in situ conservation.

关键词： Seagrass Zostera japonica Genetic diversity Genetic differentiation Microsatellites

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An unsupervised learning approach to study synchroneity of past events in the South China Sea

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Frontiers of Earth Science 2019年第3期13卷 628-640页

作者： Kevin C. Tse Hon-Chim Chiu Man-Yin tsang Yiliang Li Edmund Y. Lam Department of Earth Sciences The University of Hong KongPokfulamHong KongChina Department of Geography and Centre for Geo-computation Studies Hong Kong Baptist UniversityKowloon TongHong KongChina Department of Earth Sciences University of TorontoCanada Department of Electrical and Electronic Engineering The University of Hong KongPokfulamHong KongChina

Unsupervised machine learning methods were applied on multivariate geophysical and geochemical datasets of ocean floor sediment cores collected from the South China Sea. The well-preserved and continuous core samples comprising high resolution Cenozoic sediment records enable scientists to carry out paleoenvironment studies in detail. Bayesian age-depth chronological models constructed from biostratigraphic control points for the drilling sites are applied on cluster boundaries generated from two popular unsupervised learning methods: K-means and random forest. The unsupervised learning methods experimented have produced compact and unambiguous clusters from the datasets, indicating that previously unknown data patterns can be revealed when all variables from the datasets are taken into account simultaneously. A study of synchroneity of past events represented by the cluster boundaries across geographically separated ocean drilling sites is achieved through converting the fixed depths of cluster boundaries into chronological ranges represented by Gaussian density plots which are then compared with known past events in the region. A Gaussian density peak at around 7.2 Ma has been identified from results of all three sites and it is suggested to coincide with the initiation of the East Asian monsoon. Contrary to traditional statistical approach, a priori assumptions are not required for unsupervised learning, and the clustering results serve as a novel data-driven proxy for studying the complex and dynamic processes of the paleoenvironment surrounding the ocean sediment. This work serves as a pioneering approach to extract valuable information of regional events and opens up a systematic and objective way to study the vast global ocean sediment datasets.

关键词： machine learning ocean sediments unsupervised classification

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Unsupervised learning on scientific ocean drilling datasets from the South China Sea

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Frontiers of Earth Science 2019年第1期13卷 180-190页

作者： Kevin C.TSE Hon-Chim CHIU Man-Yin tsang Yiliang LI Edmund Y.LAM Department of Earth Sciences The University of Hong KongPokfulamHong KongChina Department of Geography and Centre for Geo-computation Studies Hong Kong Baptist UniversityKowloon TongHong KongChina Department of Earth Sciences University of TorontoTorontoON M5S 2M8Canada Department of Electrical and Electronic Engineering The University of Hong KongPokfulamHong KongChina

Unsupervised learning methods were applied to explore data patterns in multivariate geophysical datasets collected from ocean floor sediment core samples coming from scientific ocean drilling in the South China *** to studies on similar datasets,but using supervised learning methods which are designed to make predictions based on sample training data,unsupervised learning methods require no a priori information and focus only on the input *** this study,popular unsupervised learning methods including K-means,self-organizing maps,hierarchical clustering and random forest were coupled with different distance metrics to form exploratory data *** resulting data clusters were externally validated with lithologic units and geologic time scales assigned to the datasets by conventional methods. Compact and connected data clusters displayed varying degrees of correspondence with existing classification by lithologic units and geologic time scales.K-means and self-organizing maps were observed to perform better with lithologic units while random forest corresponded best with geologic time *** study sets a pioneering example of how unsupervised machine learning methods can be used as an automatic processing tool for the increasingly high volume of scientific ocean drilling data.

关键词： machine learning unsupervised learning ODP IODP clustering

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基于化学链的氨生产--一种有前途的非碳燃料生产途径

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Science Bulletin 2022年第20期67卷 2124-2138,M0004页

作者：赖清华蔡天意 Shik Chi Edman tsang 陈侠叶润平徐政和 Morris DArgyle 丁冬陈咏梅王键吉 Armistead GRussell 吴烨刘健范貌宏 College of Engineering and Applied Science University of WyomingLaramie WY 82071USA School of Energy and Power Engineering Shanghai Key Laboratory of Multiphase Flow and Heat Transfer in Power EngineeringUniversity of Shanghai for Science and TechnologyShanghai 200093China Wolfson Catalysis Department of ChemistryUniversity of OxfordOxford Ox13QRUK College of Chemistry and Chemical Engineering Ocean University of ChinaQingdao 266100China State Key Laboratory of Catalysis Dalian Institute of Chemical PhysicsChinese Academy of SciencesDalian 116023China Department of Materials Science and Engineering Southern University of Science and TechnologyShenzhen 518055China Department of Chemical and Materials Engineering University of AlbertaEdmonton Alberta T6G1H9Canada Department of Chemical Engineering Brigham Young UniversityProvo UT 84602USA Idaho National Laboratory Idaho Falls ID83415USA College of Chemistry Beijing University of Chemical TechnologyBejing 100029China School of Chemistry and Environmental Science Henan Normal UniversityXinxiang 453007China School of Civil and Environmental Engineering Georgia Institute of TechnologyAtlanta GA 30332USA MIIT Key Laboratory of Thermal Control of Electronic Equipment School of Power EngineeringNanjing University of Science&TechnologyNanjing 210094China DICP-Surrey Joint Centre for Future Materials Department of Chemical and Process Engineeringand Advanced Technology InstituteUniversity of SurreyGuilford Surrey GU27XH UK

氨既是最基本的化工原料之一,也是一种很有前景的非碳燃料,可用于防止全球变暖.氨主要由1909年开发的曾获得两项诺贝尔奖的哈伯-博世工艺制成.然而该工艺过程有一些缺点,包括高碳足迹和需要苛刻的反应条件.有数据统计,用于全世界的合成... 详细信息

氨既是最基本的化工原料之一,也是一种很有前景的非碳燃料,可用于防止全球变暖.氨主要由1909年开发的曾获得两项诺贝尔奖的哈伯-博世工艺制成.然而该工艺过程有一些缺点,包括高碳足迹和需要苛刻的反应条件.有数据统计,用于全世界的合成氨上的能源占全球天然气产量的3%~5%和全球能源消耗的1%~2%.这使得开发替代的合成氨的方法很有必要.基于化学链的氨生产使用氮载体材料,可以在大气压下运行并实现高产品选择性和高能源效率.迄今为止,在这个关键领域还缺乏关于氮载体和基于化学链的氨生产系统的综述和展望.本文旨在全面回顾化学链的氨生产的最新进展,并总结性地展望了化学链的氨生产的未来发展.本文首先讨论了可持续的、基于化学链的氨生产的途径和氨的利用;然后,根据反应物和中间步骤将基于化学链的氨生产系统性地分为四类.此外,文章还全面回顾了每一类基于化学链的氨生产的氮载体的最新发展和所需的热力学性质;最后对基于化学链的氨生产技术的发展方向进行了展望.

关键词：化学链化工原料数据统计载体材料热力学性质中间步骤诺贝尔奖全球变暖

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New road for telecoupling global prosperity and ecological sustainability

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Ecosystem Health and Sustainability 2016年第10期2卷 24-29页

作者： Dewei Yang Jingjing Cai Vanessa Hull Kaiyong Wang Yin-Phan tsang Jianguo Liu Key Lab of Urban Environment and Health Institute of Urban EnvironmentChinese Academy of SciencesXiamen361021 China Xiamen Key Lab of Urban Metabolism Xiamen361021 China School of Economics Xiamen UniversityXiamen361005 China Department of Fisheries and Wildlife Center for Systems Integration and SustainabilityMichigan State UniversityEast LansingMichigan 48823 USA Institute of Geographic Sciences and Natural Resources Research Chinese Academy of SciencesBeijing100101 China Department of Natural Resources and Environmental Management University of HawaiiManoaHonoluluHawaii 96822 USA

China’s ambitious Belt and Road Initiative, which seeks to expand the ancient land routes that connect China to the Mediterranean Sea and corresponding ocean- based routes, is expanding global cooperation with profound socioeconomic and ecological implications. As China and associated countries are developing specific policies to implement the initiative, it is important to analyze and integrate major relevant issues. In this article, we discuss several major challenges facing the Belt and Road region: complex natural features, mismatched resources, shared ecological issues, and diverse socioeconomic conditions. To meet the challeng-es, we apply the integrated framework of telecoupling (socioeconomic and environmental interactions over distances) and propose to enhance infrastructure connection, transboundary actions, scientific and cultural exchanges, and institutional innovations within the Belt and Road region;and collaborate with more interna-tional organizations and countries beyond the Belt and Road region for a prosperous and sustainable world.

关键词： ecological sustainability global prosperity telecoupling the Belt and Road Initiative.

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