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7th International Congress on Environmental Modelling and Software, iEMSs 2014

作者： Richards, Russell Meynecke, Jan-Olaf Sahin, Oz Tiller, Rachel Liu, Yajie Griffith Centre for Coastal Management Australia Griffith Climate Change Response Program Australia Griffith University Australia Griffith School of Engineering Griffith University QLD Australia Norwegian University of Science and Technology Trondheim Norway SINTEF Fiskeri og Havbruk Norway

Increased carbon dioxide emissions are driving changes in the chemistry of seawater in a process termed 'ocean acidification' (OA). Globally, this is predicted to impact on coastal fisheries, especially those consisting of calcifying organisms (e.g. mollusks and crustaceans). The impact might also depend on synergistic co-stressors such as a concomitant increase in seawater temperature and the resilience of other biota. However, the framing of OA as a future problem coupled with the complexity of coastal systems means that assessing fisheries vulnerability to OA is characterised by strong variability and uncertainty. It is further characterised by strong socio-economic dimensions given the increasing demand on seafood as a protein source. We have examined the vulnerabilities of, and potential management interventions for, mollusk and crustacean fisheries in Queensland (Australia) to OA using a Bayesian network (BN) modelling framework. An advantage of this approach is that it provides a probabilistic framework for assessing causality between drivers, impacts and responses while conditional probabilities allow for straightforward integration of environmental, social and economic data. It also enables models to be developed, even when data is scarce or uncertain. We have drawn upon "expert opinion" in developing this model, including construction of the causal network and the underlying probabilities. The resulting BN indicates that the crustacean fishery (represented in our model by two prawn species) is more resilient to increasing OA conditions than the mollusk fishery (represented by one scallop species).

关键词： Bayesian networks

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Author Correction: Long-term carbon sink in Borneo's forests halted by drought and vulnerable to edges

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Nature communications 2018年第1期9卷 342页

作者： Lan Qie Simon L Lewis Martin J P Sullivan Gabriela Lopez-Gonzalez Georgia C Pickavance Terry Sunderland Peter Ashton Wannes Hubau Kamariah Abu Salim Shin-Ichiro Aiba Lindsay F Banin Nicholas Berry Francis Q Brearley David F R P Burslem Martin Dančák Stuart J Davies Gabriella Fredriksson Keith C Hamer Radim Hédl Lip Khoon Kho Kanehiro Kitayama Haruni Krisnawati Stanislav Lhota Yadvinder Malhi Colin Maycock Faizah Metali Edi Mirmanto Laszlo Nagy Reuben Nilus Robert Ong Colin A Pendry Axel Dalberg Poulsen Richard B Primack Ervan Rutishauser Ismayadi Samsoedin Bernaulus Saragih Plinio Sist J W Ferry Slik Rahayu Sukmaria Sukri Martin Svátek Sylvester Tan Aiyen Tjoa Mark van Nieuwstadt Ronald R E Vernimmen Ishak Yassir Petra Susan Kidd Muhammad Fitriadi Nur Khalish Hafizhah Ideris Rafizah Mat Serudin Layla Syaznie Abdullah Lim Muhammad Shahruney Saparudin Oliver L Phillips School of Geography University of Leeds LS2 9JT Leeds UK. qie.lan@***. Department of Life Sciences Imperial College London Silwood Park Campus SL5 7PY Ascot UK. qie.lan@***. School of Geography University of Leeds LS2 9JT Leeds UK. Department of Geography University College London WC1E 6BT London UK. Center for International Forestry Research Jl. CIFOR Situ Gede 16115 Bogor (Barat) Indonesia. School of Environmental and Marine Science James Cook University 1 James Cook Dr Townsville City QLD 4811 Australia. Department of Organismic and Evolutionary Biology Harvard University 22 Divinity Avenue Cambridge MA 02138 USA. Laboratory for wood Biology and Xylarium Royal Museum for Central Africa Leuvensesteenweg 13 3080 Tervuren Belgium. Environmental and Life Sciences Programme Faculty of Science Universiti Brunei Darussalam Jalan Tungku Link BE1410 Gadong Brunei Darussalam. Graduate School of Science and Engineering Kagoshima University 890-0065 Kagoshima Japan. Centre for Ecology and Hydrology EH26 0QB Penicuik UK. Bioclimate Thorn House 5 Rose Street EH2 2PR Edinburgh UK. School of Science and the Environment Manchester Metropolitan University Chester Street M1 5GD Manchester UK. School of Biological Sciences University of Aberdeen Cruickshank Building St Machar Drive AB24 3UU Aberdeen UK. Department of Ecology & Environmental Sciences Faculty of Science Palacký University in Olomouc Šlechtitelů 27 CZ-78371 Olomouc Czech Republic. Center for Tropical Forest Science-Forest Global Earth Observatory Smithsonian Tropical Research Institute Washington DC 20013 USA. Asian School of the Environment Nanyang Technological University 50 Nanyang Avenue 639798 Singapore Singapore. Institute for Biodiversity and Ecosystem Dynamics University of Amsterdam 1012 WX Amsterdam The Netherlands. Pro Natura Foundation Jl. Jend. Sudirman No. 37 76112 Balikpapan Indonesia. Pan Eco SOCP Jl. Wahid Hasyim No. 51/74 20154 Medan Indonesia. School o

The original version of this Article contained an error in the third sentence of the abstract and incorrectly read "Here, using long-term plot monitoring records of up to half a century, we find that intact forests in Borneo gained 0.43 Mg C ha year (95% CI 0.14-0.72, mean period 1988-2010) above-ground live biomass", rather than the correct "Here, using long-term plot monitoring records of up to half a century, we find that intact forests in Borneo gained 0.43 Mg C ha year (95% CI 0.14-0.72, mean period 1988-2010) in above-ground live biomass carbon". This has now been corrected in both the PDF and HTML versions of the Article.

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Semantic Properties of Customer Sentiment in Tweets

Semantic Properties of Customer Sentiment in Tweets

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International Conference on Advanced Information Networking and Applications Workshops (AINAW)

作者： Eun Hee Ko Diego Klabjan Program of Analytics Northwestern University Evanston IL USA Industrial Engineering and Management Science Northwestern University Evanston IL USA

An increasing number of people are using online social networking services (SNSs), and a significant amount of information related to experiences in consumption is shared in this new media form. Text mining is an emerging technique for mining useful information from the web. We aim at discovering in particular tweets semantic patterns in consumers' discussions on social media. Specifically, the purposes of this study are twofold: 1) finding similarity and dissimilarity between two sets of textual documents that include consumers' sentiment polarities, two forms of positive vs. negative opinions and 2) driving actual content from the textual data that has a semantic trend. The considered tweets include consumers' opinions on US retail companies (e.g., Amazon, Walmart). Cosine similarity and K-means clustering methods are used to achieve the former goal, and Latent Dirichlet Allocation (LDA), a popular topic modeling algorithm, is used for the latter purpose. This is the first study which discover semantic properties of textual data in consumption context beyond sentiment analysis. In addition to major findings, we apply LDA (Latent Dirichlet Allocations) to the same data and drew latent topics that represent consumers' positive opinions and negative opinions on social media.

关键词： Semantics Media Tagging Data mining Business Correlation Vectors

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Using the transportation performance index to understand the impact of regional plans 2

Using the transportation performance index to understand the...

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2nd Transportation and Development Institute Congress - Planes, Trains, and Automobiles: Connections to Future Developments, T and DI 2014

作者： McNeil, Sue Atique, Farzana Burke, Ryan Trimbath, Susanne Dept. of Civil and Environmental Engineering Univ. of Delaware NewarkDE19716 United States Disaster Science and Management Program Univ. of Delaware NewarkDE19716 United States STP Advisory Services LLC PO Box 1252 BellevueNE68005 United States

ISBN: (纸本)9780784413586

The Transportation Performance Index (TPI) provides a snapshot of the performance of transportation infrastructure in a specific year based on indicators reflecting supply, quality of service and utilization. To better understand how the TPI changes with investment, regional long range transportation plans were reviewed and the impact of the proposed investments estimated for 2035. Without investment, the performance of transportation infrastructure, as measured by the TPI, declines significantly from 2011. With investment the TPI is shown to increase significantly, underscoring the importance of these strategic investments. © 2014 American Society of Civil Engineers.

关键词： Investments

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Onboard Trajectory Generation for Compound UAV during the Unpowered Approach Phase

Onboard Trajectory Generation for Compound UAV during the Un...

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2014中国制导、导航与控制学术会议

作者： Xiaoxing Fang Zhihao Cai Yingxun Wang School of Automation Science and Electrical Engineering Beihang UniversityBeijing100191 China Department of Major Program ManagementAviation Industry Corporation of China Beijing100022 China

ISBN: (纸本)9781479946983

To perform autonomous unpowered approach to designated landing interface,a three-dimensional trajectory generation method for compound UAV is presented.A reference profile by piecing together three flight segments is adopted in the trajectory generation *** predict-correct method,the algorithm adjusts three parameters'values of the trajectory and propagates the trajectory to match the landing interface *** the usually used optimization method,the method is able to generate reference profiles quickly,which indicates its ability for onboard *** results from different scenarios are presented in order to validate the effectiveness of the method.

关键词： autonomous aerial vehicles autonomous unpowered approach compound UAV landing interface onboard trajectory generation predict-correct method reference profile three-dimensional trajectory generation method trajectory generation scheme unpowered approach phase Algorithm design and analysis Compounds Mathematical model Rotors Trajectory Vehicle dynamics Vehicles

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Unobtrusive Monitoring of ECG-derived Features During Daily Smartphone Use

Unobtrusive Monitoring of ECG-derived Features During Daily ...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Sungjun Kwon Seungwoo Kang Youngki Lee Chungkuk Yoo Kwangsuk Park Interdisciplinary Program of Bioengineering Seoul National University Department of Computer Science Korea Advanced Institute of Science and Technology (KAIST) Department of Information Systems at Singapore Management University Department of Biomedical Engineering College of Medicine Seoul National University

ISBN: (纸本)9781424479276

Heart rate variability (HRV) is known to be one of the representative ECG-derived features that are useful for diverse pervasive healthcare applications. The advancement in daily physiological monitoring technology is enabling monitoring of HRV in people's everyday lives. In this study, we evaluate the feasibility of measuring ECG-derived features such as HRV, only using the smartphone-integrated ECG sensors system named Sinabro. We conducted the evaluation with 13 subjects in five predetermined smartphone use cases. The result shows the potential that the smartphone-based sensing system can support daily monitoring of ECG-derived features;The average errors of HRV over all participants ranged from 1.65% to 5.83% (SD: 2.54～10.87) for five use cases. Also, all of individual HRV parameters showed less than 5% of average errors for the three reliable cases.

关键词： Power system stability Circuit stability Stability criteria Transient analysis Steady-state

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Effects of Needle-Punch Depth on Properties of PET/LPET/Kevlar Nonwoven Geotextiles

Effects of Needle-Punch Depth on Properties of PET/LPET/Kevl...

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2nd International Conference on Advanced Composite Materials and Manufacturing engineering, CMME 2014

作者： Lin, Jia Horng Hsieh, Jing Chzi Li, Jia Hsun Hsing, Wen Hao Lou, Ching Wen Laboratory of Fiber Application and Manufacturing Department of Fiber and Composite Materials Feng Chia University Taichung City 40724 Taiwan School of Chinese Medicine China Medical University Taichung 40402 Taiwan Department of Fashion Design Asia University Taichung 41354 Taiwan Department of Land Management Feng Chia University Taichung City 40724 Taiwan Department of Ph. D Program in Civil and Hydraulic Engineering Feng Chia University Taichung City 40724 Taiwan The Department of Textile Engineering Chinese Culture University Taipei 11114 Taiwan Institute of Biomedical Engineering and Materials Science Central Taiwan University of Science and Technology Taichung 40601 Taiwan

ISBN: (纸本)9783038350651

Geotextile has been commonly used in civil and geotechnical engineering applications, and the majority of geotextiles is made of nonwoven fabrics. Therefore, this study combines crimped polyester (PET) fibers, recycled Kevlar unidirectional selvage fibers, and low-melting-point PET (LPET) fibers to form PET/Kevlar/LPET nonwoven geotextiles, and then examines how various neelde-punch depths influence mechanical properties of the resulting nonwoven geotextiles. The tensile strength, tearing strength, bursting strength, and static puncture resistance of the nonwoven fabrics increase as a result of an increase of 0.3 cm to 0.5 cm in needle-punch depth. However, an increase of 0.5 cm to 0.7 cm causes a slight decrease in all aforementioned properties. © (2014) Trans Tech Publications, Switzerland.

关键词： Needles

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Effects of needle-punch rate on properties of PET/Kevlar/LPET nonwoven geotextiles 4

Effects of needle-punch rate on properties of PET/Kevlar/LPE...

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4th International Workshop on Computer science and engineering-Winter, WCSE 2014

作者： Lin, Jia-Horng Li, Jia-Hsun Hsieh, Jing-Chzi Hsing, Wen-Hao Lou, Ching-Wen Laboratory of Fiber Application and Manufacturing Department of Fiber and Composite Materials Feng Chia University Taichung City40724 Taiwan School of Chinese Medicine China Medical University Taichung40402 Taiwan Department of Fashion Design Asia University Taichung41354 Taiwan Department of Ph. D Program in Civil and Hydraulic Engineering Feng Chia University Taichung City40724 Taiwan Department of Land Management Feng Chia University Taichung City40724 Taiwan Department of Textile Engineering Chinese Culture University Taipei11114 Taiwan Institute of Biomedical Engineering and Materials Science Central Taiwan University of Science and Technology Taichung40601 Taiwan

Geotextiles feature reinforcement, drainage, filtration, separation, and act as a moisture barrier, and are commonly used in civil and geotechnical engineering applications. Using nonwoven fabrics as geotextiles has become a recent trend;therefore, this study combines crimped polyester (PET) fibers, recycled Kevlar unidirectional selvage fibers, and low-melting-point PET (LPET) fiber to make PET/Kevlar/LPET nonwoven geotextiles, the mechanical properties of which are then examined. The test results show that the tensile strength and tearing strength of the PET/Kevlar/LPET nonwoven geotextiles increases as a result of an increasing needle-punch rate from 150 punches/min to 200 punches/min. The mechanical properties along the cross machine direciton (CD) of the nonwoven geotextiles is greater than that along the machine direction (MD). When the needle-punching rate exceeds 200 punches/min, the mechanical properties of the nonwoven geotextiles slightly decrease.

关键词： Needles

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The AgMIP potato model intercomparison pilot - First responses 1

The AgMIP potato model intercomparison pilot - First respons...

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ASABE 1st Climate Change Symposium: Adaptation and Mitigation

作者： Fleisher, D.H. Condon, B. Quiroz, R. Alva, A. Asseng, S. Bindi, M. Brown, H. Ferrise, R. Franke, L. Govindakrishnan, P.M. Harahagazwe, D. Haverkort, A. Hoogenboom, G. Naresh Kumar, S. Merante, P. Nendel, C. Olesen, J.E. Parker, P.S. Raes, D. Raymundo, R. Ruane, A. Searle, B. Stockle, C. Supit, I. Vanuytrecht, E. Wolf, J. Woli, P. USDA-ARS Crop Systems and Global Change BeltsvilleMD United States International Potato Center Lima Peru USDA-ARS Agricultural Systems Unit SidneyMD United States University of Florida Agricultural and Biological Engineering Department GainesvilleFL United States University of Florence Department of Agrifood Production and Environmental Sciences Florence Italy New Zealand Institute for Plant and Food Research Limited Christchurch New Zealand Wageningen University Plant Production Systems Wageningen Netherlands Central Potato Research Institute Shimla India International Potato Center Crop Ecophysiology and Modelling CIP SSA Nairobi Kenya Washington State University Ag Weather Net Program ProsserWA United States Central Plantation Crops Research Institute Kerala India Leibniz Centre for Agricultural Landscape Research Institute of Landscape Systems Analysis Brandenburg Germany Aarhus University Department of Agroecology and Environment Tiele Denmark KU Leuven University Department of Earth and Environmental Sciences Leuven Belgium NASA Goddard Institute for Space Studies wd New YorkNY United States Washington State University Biological Systems Engineering PullmanWA United States Wageningen University Earth System Science and Climate Adaptive Land Management Wageningen Netherlands

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Alginate modifies the physiological impact of CeO2nanoparticles in corn seedlings cultivated in soil

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Journal of Environmental sciences 2014年第2期26卷 382-389页

作者： Lijuan Zhao Jose R.Peralta-Videa Bo Peng Susmita Bandyopadhyay Baltazar Corral-Diaz Pedro Osuna-Avila Milka O.Montes Arturo A.Keller Jorge L.Gardea-Torresdey Chemistry Department The University of Texas at El Paso 500 West University Avenue University of California Center for Environmental Implications of Nanotechnology The University of Texas at El Paso 500 West University Avenue Environmental Science and Engineering PhD program The University of Texas at El Paso 500 West University Avenue Department of Biological Sciences The University of Texas at El Paso 500 West University Avenue Universidad Aut'onoma De Ciudad Ju'arez Plutarco Elias Calles # 1210 Fovissste Chamizal. Ciudad Juarez Chihuahua 32310 Mexico Chemistry Department University of Texas of the Permian Basin Odessa Bren School of Environmental Sciences and Management 3420 Bren Hall University of California

Alginates are naturally occurring components of organic matter in natural soil whose effects on nanoparticle （NP） toxicity to plants is not well understood. In the present study, corn plants were grown for one month in soil spiked with 400 mg/kg CeO2 NPs with various alginate concentrations. After one month of growth in the NPs impacted soil, plants were harvested and analyzed for Ce and mineral element concentrations. Chlorophyll concentration and heat shock protein 70, used as biomarkers for oxidative stress, were also evaluated. Results showed that, compared to CeO2 NPs treatment, alginate at 10, 50, and 100 mg/kg increased Ce concentration in roots by approximately 46%, 38%, and 29% and by 115%, 45%, and 56% in shoots, respectively. CeO 2 NPs without alginate increased Mn accumulation in roots by 34% compared to control. CeO2 NPs with low and medium alginate increased Mn by ca. 92% respect to NPs without alginate and by ca. 155% respect to control. CeO2 NPs without/with alginate significantly increased accumulation of Fe and Al in roots. In addition, alginate at 50 mg/kg increased Zn accumulation in roots by 52% compared to control. In shoots, K increased at all NP treatments but the accumulation of other elements was not affected. Alginate enlarged the impact of CeO2 NPs to corn plants by reducing chlorophyll a content and triggering overexpression of heat shock protein 70.

关键词： CeO2 NPs alginate nutrient uptake chlorophyll heat shock protein

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