检索结果-内蒙古大学图书馆

Laboratory scale of rainfall’s pattern and threshold in volcanic soil slope failure

AIP Conference Proceedings 2016年第1期1730卷

作者： R. D. Kartiko I. A. Sadisun A. Tohari P. Sumintadiredja 1Geological Engineering Study Program Faculty of Earth Sciences and Technology Bandung Institute of Technology West Java Indonesia 2Research Center for Geotechnology Indonesian Institute of Sciences West Java Indonesia

Relationship between rainfall pattern, threshold and landslide process have widely developed. However, real-time observation in real landslide event is time consuming and has high degree of uncertainty. Therefore more analysis is usually developed in regional data scale with correlation between regional rainfall dataset and landslide inventory mapping. In this study, another approach is developed with a physical laboratory scale model. This research developed correlation between simulated rainfall pattern with mechanism and process of landslide. Rainfall with specific intensity and duration are given in residual volcanic soil in laboratory scale. Rainfall threshold observed between laboratory and regional model is highly correlated. There also occurred clear relationships between intensity, duration, antecedent rainfall, with rainfall’s initiation and morphology.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Author Correction: The power of genetic diversity in genome-wide association studies of lipids

引用

Nature 2023年第7965期618卷 E19-E20页

作者： Sarah E Graham Shoa L Clarke Kuan-Han H Wu Stavroula Kanoni Greg J M Zajac Shweta Ramdas Ida Surakka Ioanna Ntalla Sailaja Vedantam Thomas W Winkler Adam E Locke Eirini Marouli Mi Yeong Hwang Sohee Han Akira Narita Ananyo Choudhury Amy R Bentley Kenneth Ekoru Anurag Verma Bhavi Trivedi Hilary C Martin Karen A Hunt Qin Hui Derek Klarin Xiang Zhu Gudmar Thorleifsson Anna Helgadottir Daniel F Gudbjartsson Hilma Holm Isleifur Olafsson Masato Akiyama Saori Sakaue Chikashi Terao Masahiro Kanai Wei Zhou Ben M Brumpton Humaira Rasheed Sanni E Ruotsalainen Aki S Havulinna Yogasudha Veturi QiPing Feng Elisabeth A Rosenthal Todd Lingren Jennifer Allen Pacheco Sarah A Pendergrass Jeffrey Haessler Franco Giulianini Yuki Bradford Jason E Miller Archie Campbell Kuang Lin Iona Y Millwood George Hindy Asif Rasheed Jessica D Faul Wei Zhao David R Weir Constance Turman Hongyan Huang Mariaelisa Graff Anubha Mahajan Michael R Brown Weihua Zhang Ketian Yu Ellen M Schmidt Anita Pandit Stefan Gustafsson Xianyong Yin Jian'an Luan Jing-Hua Zhao Fumihiko Matsuda Hye-Mi Jang Kyungheon Yoon Carolina Medina-Gomez Achilleas Pitsillides Jouke Jan Hottenga Gonneke Willemsen Andrew R Wood Yingji Ji Zishan Gao Simon Haworth Ruth E Mitchell Jin Fang Chai Mette Aadahl Jie Yao Ani Manichaikul Helen R Warren Julia Ramirez Jette Bork-Jensen Line L Kårhus Anuj Goel Maria Sabater-Lleal Raymond Noordam Carlo Sidore Edoardo Fiorillo Aaron F McDaid Pedro Marques-Vidal Matthias Wielscher Stella Trompet Naveed Sattar Line T Møllehave Betina H Thuesen Matthias Munz Lingyao Zeng Jianfeng Huang Bin Yang Alaitz Poveda Azra Kurbasic Claudia Lamina Lukas Forer Markus Scholz Tessel E Galesloot Jonathan P Bradfield E Warwick Daw Joseph M Zmuda Jonathan S Mitchell Christian Fuchsberger Henry Christensen Jennifer A Brody Mary F Feitosa Mary K Wojczynski Michael Preuss Massimo Mangino Paraskevi Christofidou Niek Verweij Jan W Benjamins Jorgen Engmann Rachel L Kember Roderick C Slieker Ken Sin Lo Nuno R Zilhao Phuong Le Marcus E Kleber Graciela E Delgado Shaofeng Huo Dai Department of Internal Medicine Division of Cardiology University of Michigan Ann Arbor MI USA. VA Palo Alto Health Care System Palo Alto CA USA. Department of Medicine Division of Cardiovascular Medicine Stanford University School of Medicine Stanford CA USA. Department of Computational Medicine and Bioinformatics University of Michigan Ann Arbor MI USA. William Harvey Research Institute Barts and the London School of Medicine and Dentistry Queen Mary University of London London UK. Department of Biostatistics and Center for Statistics Genetics University of Michigan Ann Arbor MI USA. Department of Genetics Perelman School of Medicine University of Pennsylvania Philadelphia PA USA. Clinical Pharmacology William Harvey Research Institute Barts and The London School of Medicine and Dentistry Queen Mary University of London London UK. Endocrinology Boston Children's Hospital Boston MA USA. Medical and Population Genetics Broad Institute Cambridge MA USA. Department of Genetic Epidemiology University of Regensburg Regensburg Germany. McDonnell Genome Institute and Department of Medicine Washington University St Louis MO USA. Department of Precision Medicine Division of Genome Science National Institute of Health Cheongju-si South Korea. Tohoku Medical Megabank Organization Tohoku University Sendai Japan. Sydney Brenner Institute for Molecular Bioscience Faculty of Health Sciences University of the Witwatersrand Johannesburg South Africa. Center for Research on Genomics and Global Health National Human Genome Research Institute National Institutes of Health Bethesda MD USA. Blizard Institute Barts and the London School of Medicine and Dentistry Queen Mary University of London London UK. Wellcome Sanger Institute Hinxton UK. Department of Epidemiology Emory University Rollins School of Public Health Atlanta GA USA. Atlanta VA Health Care System Decatur GA USA. Malcolm Randall VA Medical Center Gainesville FL USA. Division of Vascular Sur

来源：评论

学校读者我要写书评

暂无评论

Evaluation of vegetation density changes in Suburban Area: A case study of Istanbul Metropolitan Area 36

Evaluation of vegetation density changes in Suburban Area: A...

引用

36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, ACRS 2015

作者： Kaya, Sinasi Osgouei, Paria E. Alganci, Ugur Seker, Dursun Z. Gazioglu, Cem ITU Civil Engineering Faculty Department of Geomatics Maslak Istanbul34469 Turkey ITU Communication and Remote Sensing Program Maslak Istanbul34469 Turkey ITU Center for Satellite Communication and Remote Sensing Maslak Istanbul34469 Turkey IU Institute of Marine Sciences and Management Vefa Fatih Istanbul34134 Turkey

In this study, vegetation changes in 39 Istanbul districts of between 1984 and 2011 were analyzed using Landsat 5 TM satellite sensor images. Satellite sensor images were registered to each other in order to ensure the locational and geometric accuracy in multi-temporal analysis. In the next step, Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) images were calculated from registered images. NDWI images were then subtracted from NDVI images in order to minimize the detractive effects of water bodies on NDVI. All of the 39 districts were subset from modified NDVI images for the dates 1984 and 2011. Mean values of NDVI for each district were calculated and these values were weighted with comparison of one districts mean NDVI value to others. In last step, vegetation change from 1984 to 2011 for each district was calculated using liner interpolation method and district scale vegetation change density map was created for whole Istanbul. Results showed that, methodology presented in this study can simply and effectively determine the spatial distribution of vegetation and vegetation density change in rapidly urbanized cities.

关键词： Vegetation

来源：评论

学校读者我要写书评

暂无评论

Compressive strengths of water treatment Sludge-fly ash geopolymer at various compression energies

引用

Lowland Technology International 2015年第3期17卷 147-156页

作者： Suksiripattanapong, C. Srijumpa, T. Horpibulsuk, S. Sukmak, P. Arulrajah, A. Du, Y.J. Department of Civil Engineering Faculty of Engineering and Architecture Rajamangala University of Technology Isan Thailand Construction and Infrastructure Management Program Suranaree University of Technology Nakhon Ratchasima30000 Thailand School of Civil Engineering Suranaree University of Technology Nakhon Ratchasima30000 Thailand School of Engineering and Resources Walailak University Nakhon Si Thammarat80160 Thailand Swinburne University of Technology HawthornVIC3122 Australia Institute of Geotechnical Engineering Southeast University Nanjing Jiangsu210096 China

Sludge-fly ash geopolymer is a green material, which does not require cement as a cementitious binder. Sludge and fly ash (FA) are both by-products from Bang Khen water treatment plants and Mae Moh power plants, respectively. A liquid alkaline activator, L is a mixture of sodium silicate solution (Na2SiO3) and sodium hydroxide solution (NaOH). This article investigates the influence of compression energy (E) on the Unconfined Compressive Strength (UCS) of a novel sludge-fly ash geopolymer. The optimal liquid alkaline activator (L) content, sodium silicate solution to sodium hydroxide solution ratio (Na2SiO3/NaOH), heat temperature (T) and heat duration (D), providing the maximum UCS for each E is also investigated. Test results indicate that the optimal UFA ratio decreases as E increases. The optimal L/FA ratios for E = 592.5, 1346.6 and 2693.3 kJ/m3 are 1.5, 1.4 and 1.3, respectively. The Na2SiO3/NaOH ratio of 80:20 is considered as optimal for all E tested. The UCS of sludge-FA geopolymer at all E values tested increases with an increase of heat duration until a heat duration of 72 hours, after which the UCS becomes almost constant. The heat temperature accelerates the geopolymerization reaction and therefore enhances the strength. However, overheating results in micro-cracks in the samples due to the loss of moisture. As such, the optimal temperature is controlled by liquid content;the higher L/FA results in the lower optimal heat temperature. Since the optimal L/FA ratio decreases as E increases, the optimal T subsequently decreases with an increase in E;i.e., its values are 75, 85 and 95 °C for E = 2693.3, 1346.6 and 592.5 kJ/m3, respectively. The maximum UCS values of sludge-FA geopolymer at optimal ingredient and heat condition are 20, 18 and 16 MPa for E = 2693.3, 1346.6 and 592.5 kJ/m3, respectively, which meet the strength requirement of bearing masonry units as specified by the Thailand Industrial Standard (TIS).

关键词： Fly ash

来源：评论

学校读者我要写书评

暂无评论

Author Correction: The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

引用

Scientific data 2021年第1期8卷 72页

作者： Gilberto Pastorello Carlo Trotta Eleonora Canfora Housen Chu Danielle Christianson You-Wei Cheah Cristina Poindexter Jiquan Chen Abdelrahman Elbashandy Marty Humphrey Peter Isaac Diego Polidori Markus Reichstein Alessio Ribeca Catharine van Ingen Nicolas Vuichard Leiming Zhang Brian Amiro Christof Ammann M Altaf Arain Jonas Ardö Timothy Arkebauer Stefan K Arndt Nicola Arriga Marc Aubinet Mika Aurela Dennis Baldocchi Alan Barr Eric Beamesderfer Luca Belelli Marchesini Onil Bergeron Jason Beringer Christian Bernhofer Daniel Berveiller Dave Billesbach Thomas Andrew Black Peter D Blanken Gil Bohrer Julia Boike Paul V Bolstad Damien Bonal Jean-Marc Bonnefond David R Bowling Rosvel Bracho Jason Brodeur Christian Brümmer Nina Buchmann Benoit Burban Sean P Burns Pauline Buysse Peter Cale Mauro Cavagna Pierre Cellier Shiping Chen Isaac Chini Torben R Christensen James Cleverly Alessio Collalti Claudia Consalvo Bruce D Cook David Cook Carole Coursolle Edoardo Cremonese Peter S Curtis Ettore D'Andrea Humberto da Rocha Xiaoqin Dai Kenneth J Davis Bruno De Cinti Agnes de Grandcourt Anne De Ligne Raimundo C De Oliveira Nicolas Delpierre Ankur R Desai Carlos Marcelo Di Bella Paul di Tommasi Han Dolman Francisco Domingo Gang Dong Sabina Dore Pierpaolo Duce Eric Dufrêne Allison Dunn Jiří Dušek Derek Eamus Uwe Eichelmann Hatim Abdalla M ElKhidir Werner Eugster Cacilia M Ewenz Brent Ewers Daniela Famulari Silvano Fares Iris Feigenwinter Andrew Feitz Rasmus Fensholt Gianluca Filippa Marc Fischer John Frank Marta Galvagno Mana Gharun Damiano Gianelle Bert Gielen Beniamino Gioli Anatoly Gitelson Ignacio Goded Mathias Goeckede Allen H Goldstein Christopher M Gough Michael L Goulden Alexander Graf Anne Griebel Carsten Gruening Thomas Grünwald Albin Hammerle Shijie Han Xingguo Han Birger Ulf Hansen Chad Hanson Juha Hatakka Yongtao He Markus Hehn Bernard Heinesch Nina Hinko-Najera Lukas Hörtnagl Lindsay Hutley Andreas Ibrom Hiroki Ikawa Marcin Jackowicz-Korczynski Dalibor Janouš Wilma Jans Rachhpal Jassal Shicheng Jiang Tomomichi Kato Myr Computational Research Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. gzpastorello@lbl.gov. DIBAF University of Tuscia Viterbo 01100 Italy. Euro-Mediterranean Centre on Climate Change Foundation (CMCC) Lecce 73100 Italy. Climate & Ecosystem Sciences Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. Computational Research Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. Department of Civil Engineering California State University Sacramento CA 95819 USA. Department of Geography Environment and Spatial Sciences Michigan State University East Lansing MI 48823 USA. Department of Computer Science University of Virginia Charlottesville VA 22904 USA. TERN Ecosystem Processes Menzies Creek VIC3159 Australia. Max Planck Institute for Biogeochemistry Jena 07701 Germany. Laboratoire des Sciences du Climat et de l'Environnement (LSCE) CEA CNRS UVSQ UPSACLAY Gif sur Yvette 91190 France. Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China. Department of Soil Science University of Manitoba Winnipeg MB R3T2N2 Canada. Department of Agroecology and Environment Agroscope Research Institute Zürich 8046 Switzerland. School of Geography and Earth Sciences McMaster University L8S4K1 Hamilton ON Canada. Department of Physical Geography and Ecosystem Science Lund University Lund 22362 Sweden. Department of Agronomy and Horticulture University of Nebraska-Lincoln Lincoln NE 68583 USA. School of Ecosystem and Forest Sciences The University of Melbourne Richmond VIC3121 Australia. Department of Biology Research Group PLECO University of Antwerp Antwerp 2610 Belgium. Joint Research Centre European Commission Ispra 21027 Italy. TERRA Teaching and Research Center University of Liege Gembloux B-5030 Belgium. Finnish Meteorological Institute Helsinki 00560 Finland. ES

来源：评论

学校读者我要写书评

暂无评论

Causes of blindness and vision impairment in 2020 and trends over 30 years, and prevalence of avoidable blindness in relation to VISION 2020: the Right to Sight: an analysis for the Global Burden of Disease study (vol 2, pg 144, 2021)

引用

LANCET GLOBAL HEALTH 2021年第4期9卷 E408-E408页

作者： Steinmetz, Jaimie D. Vision and Eye Research Institute Anglia Ruskin University Cambridge United Kingdom Biomedical Informatics Seoul National University Hospital Seoul South Korea Institute for Health Metrics and Evaluation University of Washington Seattle WA United States Department of Health Metrics Sciences School of Medicine University of Washington Seattle WA United States Institute of Health Services Research Yonsei University Seoul South Korea Department of Ophthalmology University of Washington Seattle WA United States Department of Mathematics Imperial College London London United Kingdom WHO Collaborating Centre for Public Health Education and Training Imperial College London London United Kingdom Department of Primary Care and Public Health Imperial College London London United Kingdom School of Population and Global Health University of Melbourne Carlton VIC Australia School of Optometry and Vision Science UNSW Sydney NSW Australia Brien Holden Vision Institute Sydney Australia Department of Ophthalmology University of Adelaide Adelaide SA Australia Department of Parasitology and Mycology Jahrom University of Medical Sciences Jahrom Iran Department of Clinical Sciences University of Sharjah Sharjah United Arab Emirates Ophthalmic Research Center Shahid Beheshti University of Medical Sciences Tehran Iran Department of Ophthalmology Shahid Beheshti University of Medical Sciences Tehran Iran Research Institute for Endocrine Sciences Shahid Beheshti University of Medical Sciences Tehran Iran Ophthalmic Epidemiology Research Center Shahid Beheshti University of Medical Sciences Tehran Iran Health Services Management Department Qazvin University of Medical Sciences Qazvin Iran Department of Systems Populations and Leadership University of Michigan Ann Arbor MI United States Department of Medicine Sofia Ismail Memorial Medical Centre Bogura Bangladesh The Fred Hollows Foundation Sydney NSW Australia Berhan Public Health & Eye Care Consultancy Addis A

Hospital El Salvador: a novel paradigm of intensive care in response to COVID-19 in central America. Lancet Glob Health 2021;9: e241?42?In this Comment, the conflict of interest statement should have included the following: ?By virtue of their roles within a public hospital or the Ministry of Health, MB, LC, WH, and XS are government employees. The findings and conclusions in the Comment are only those of the authors.? This correction has been made as of Feb 26, 2021.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Concurrent starbursts in molecular gas disks within a pair of colliding galaxies at z = 1.52

arXiv

引用

arXiv 2018年

作者： Silverman, J.D. Daddi, E. Rujopakarn, W. Renzini, A. Mancini, C. Bournaud, F. Puglisi, A. Rodighiero, G. Liu, D. Sargent, M. Arimoto, N. Béthermin, M. Fensch, J. Hayward, C.C. Kartaltepe, J. Kashino, D. Koekemoer, A. Magdis, G. McCracken, H.J. Nagao, T. Sheth, K. Smolčić, V. Valentino, F. Kavli Institute for the Physics and Mathematics of the Universe University of Tokyo Kashiwa277-8583 Japan Laboratoire AIM CEA/DSM-CNRS-Universite Paris Diderot Irfu/Service d'Astrophysique CEA Saclay Department of Physics Faculty of Science Chulalongkorn University 254 Phayathai Road Pathumwan Bangkok10330 Thailand Don Kaeo Mae Rim Chiang Mai50180 Thailand Kavli Institute for the Physics and Mathematics of the Universe Todai Institutes for Advanced Study University of Tokyo Kashiwa277-8583 Japan Instituto Nazionale de Astrofisica Osservatorio Astronomico di Padova v.co dell'Osservatorio 5 PadovaI-35122 Italy Dipartimento di Fisica e Astronomia Universita di Padova vicolo Osservatorio 3 Padova35122 Italy Astronomy Centre Department of Physics and Astronomy University of Sussex BrightonBN1 9QH United Kingdom Astronomy Program Department of Physics and Astronomy Seoul National University 599 Gwanak-ro Gwanak-gu Seoul151-742 Korea Republic of Subaru Telescope 650 North A'ohoku Place Hilo Hawaii96720 United States European Southern Observatory Karl-Schwarzschild-Str. 2 Garching85748 Germany European Southern Observatory Karl-Schwarzschild-Str. 2 Garching bei München85748 Germany Center for Computational Astrophysics Flatiron Institute 162 Fifth Avenue New YorkNY10010 United States School of Physics and Astronomy Rochester Institute of Technology 84 Lomb Memorial Drive RochesterNY14623 United States Institute of Astronomy ETH Zürich Wolfgang-Pauli-Strasse 27 ZürichCH-8093 Switzerland Space Telescope Science Institute 3700 San Martin Drive BaltimoreMD21218 United States Cosmic DAWN Centre Niels Bohr Institute University of Copenhagen Juliane Mariesvej 30 Copenhagen2100 Denmark Institut d'Astrophysique de Paris CNRS UMR 7095 and UPMC 98bis boulevard Arago ParisF-75014 France Graduate School of Science and Engineering Ehime University 2-5 Bunkyo-cho Matsuyama790-8577 Japan NASA Headquaters 300 E. St SW WashingtonDC2054

We report on the discovery of a merger-driven starburst at z = 1:52, PACS-787, based on high signal-to-noise ALMA observations. CO(5-4) and continuum emission (850μm) at a spatial resolution of 0.3" reveal two compact (r1/2 ∼ 1 kpc) and interacting molecular gas disks at a separation of 8.6 kpc thus indicative of an early stage in a merger. With a SFR of 991 Mo yr-1, this starburst event should occur closer to final coalescence, as usually seen in hydrodynamical simulations. From the CO size, inclination, and velocity profile for both disks, the dynamical mass is calculated through a novel method that incorporates a calibration using simulations of galaxy mergers. Based on the dynamical mass, we measure (1) the molecular gas mass, independent from the CO luminosity, (2) the ratio of the total gas mass and the CO(1 - 0) luminosity (αCO ≡ Mgas/L'CO1-0), and (3) the gas-to-dust ratio, with the latter two being lower than typically assumed. We find that the high star formation, triggered in both galaxies, is caused by a set of optimal conditions: a high gas mass/fraction, a short depletion time (τdepl = 85 and 67 Myrs) to convert gas into stars, and the interaction of likely counter-rotating molecular disks that may accelerate the loss of angular momentum. The state of interaction is further established by the detection of di_use CO and continuum emission, tidal debris that bridges the two nuclei and is associated with stellar emission seen by HST/WFC3. This observation demonstrates the power of ALMA to study the dynamics of galaxy mergers at high redshift. Copyright © 2018, The Authors. All rights reserved.

关键词： Galaxies

来源：评论

学校读者我要写书评

暂无评论

Proceedings from the IV Brazilian Meeting on Research Integrity, Science and Publication Ethics (IV BRISPE)

引用

Research Integrity and Peer Review 2017年第1期2卷 1-12页

作者： Sonia Vasconcelos Edson Watanabe L. P. Garcia E. Duarte M. C. Cassimiro M. M. P. Diós-Borges A. M. M. Soares C. H. Debenedito Silva A. A. P. Santa Rosa G. A. Fófano H. S. Pinheiro A. M. Gollner C. C. Santos S. M. R. Vasconcelos D. C. Machado P. V. S. Souza R. T. Souza M. D Ribeiro P. Biancovilli M. Fontes-Domingues V. C. Garbocci R. Neves M. D. Ribeiro R. Amaral M. M. M. Machado P. M. Lourenço V. Ronchi A. C. Furnival L. S. Gracioso M. D. P. Silva F. M. Litto M. Patrão Neves A. S. Carvalho J. Araújo S. Liskauskas R. Kant de Lima S. C. Bourguignon F. R. Mota H. G. Falcão J. C. Amaral A. C. Quintela A. Schtscherbyna A. Palma C. A. Guimarães D. Foguel E. H. Watanabe R. M. V. R. Almeida J. R. Lapa e Silva M. M. Sorenson B. C. Machado A. P. Vicentini A. A. B. Almodóvar R. M. Catarino H. H. Caiaffa Filho E. Damasio J. Leta L. V. R. Rezende S. Cruz-Riascos A. Abreu M. Russo P. G. Camacho M. Palácios N. R. A. Silva M. R. C. G. Novaes D. Guilhem H. S Selistre-de-Araujo A. S. C. Abreu Science Education Program Institute of Medical Biochemistry Leopoldo de Meis (IBqM) Federal University of Rio de Janeiro (UFRJ) Rio de Janeiro Brazil Committee on Research Integrity (CRI) Advisory Council for Research Ethics (CTEP) Federal University of Rio de Janeiro (UFRJ) Rio de Janeiro Brazil Electrical Engineering Program (PEE) Institute Alberto Luiz Coimbra of Graduate Studies and Research in Engineering (COPPE) Federal University of Rio de Janeiro (UFRJ) Rio de Janeiro Brazil Institute for Applied Economic Research (IPEA) Brasília Federal District Brazil Secretary for Health Surveillance Ministry of Health Brasília Federal District Brazil Scientific Integrity Committee Oswaldo Cruz Foundation Oswaldo Cruz Institute (IOC/FIOCRUZ) Rio de Janeiro Brazil Scientific Integrity Committee Oswaldo Cruz Institute Oswaldo Cruz Foundation (IOC/FIOCRUZ) Rio de Janeiro Brazil Bioethics Institute Catholic University of Portugal Porto Portugal Rio de Janeiro State University (UERJ) Rio de Janeiro Brazil National Cancer Institute (INCA) Cancer Hospital IV - Ethics Committee for Clinical Research Rio de Janeiro Brazil Federal General Hospital of Bonsucesso Rio de Janeiro Brazil Human Research Ethics Committee University Hospital of Juiz de Fora (HU-UJFJ) Juiz de Fora Minas Gerais Brazil Faculty of Southeastern Minas Gerais (FACSUM) Juiz de Fora Minas Gerais Brazil São Pedro Educational Institute (IESPe) Juiz de Fora Minas Gerais Brazil University Hospital of Juiz de Fora (HU-UJFJ) Juiz de Fora Minas Gerais Brazil Department of Biology and Sciences Pedro II School Rio de Janeiro Brazil Science Education Program Institute of Medical Biochemistry Leopoldo de Meis Federal University of Rio de Janeiro (IBqM/UFRJ) Rio de Janeiro Brazil Professional Masters Program in Science Education Institute of Medical Biochemistry Leopoldo de Meis (IBqM) Federal University of Rio de Janeiro (UFRJ) Rio de Janeiro Brazil Research Ethics Committee Clementino Fraga Filho University Hos

来源：评论

学校读者我要写书评

暂无评论

Analysis of emotional condition based on electrocardiogram signals 1

Analysis of emotional condition based on electrocardiogram s...

引用

1st International Conference on Electrical engineering and Computer Science, ICEECS 2014

作者： Hardani, Dian Nova Kusuma Wahyunggoro, Oyas Nugroho, Hanung Adi Faisal, N. Department of Electrical Engineering and Information Technology Universitas Gadjah Mada Yogyakarta Indonesia Study Program of Electrical Engineering Faculty of Engineering Muhammadiyah University of Purwokerto Purwokerto Indonesia

ISBN: (纸本)9781479984770

Emotion is a mental condition that appears spontaneously based on self-conscious effort and usually followed by physiological changes. Emotion is especially caused by stimulation. The related information with emotional condition by someone is communicated to all body through ECG. Therefore, it is important to conduct a research in analysis of emotion based on the measurement of ECG. Data emotion was categorised according to the stimulation that had been given to the subject by using video and music as long as ECG recorded. ICA method analysis with FastICA algorithm could be developed to obtain emotion feature. Feature classification was based on statistical approach from the independent component with higher of kurtosis value. The proposed method in classification was based on decision tree using Random Forest algorithm. The classification result shows that the emotional recognition based on ECG signals can be well implemented by system. The developed method successfully classifies the emotional condition from ECG signals. The method achieves the accuracy of 92.2% for identification of neutral emotion, 93.9% for negative emotion and 92.1% for positive emotion. The value of ICSI is obtained about 81.2% for neutral conditions, 88.3% for negative emotions and 85.1% for positive emotions, it means that the system is successfully to classify individually and effective for overall. © 2014 IEEE.

关键词： Electrocardiograms

来源：评论

学校读者我要写书评

暂无评论

Speciation and bioavailability of some heavy metals in agricultural soils used for cultivating various vegetables in Bedugul, Bali

引用

AIP Conference Proceedings 2016年第1期1718卷

作者： I. Made Siaka I. Made Supartha Utama I. B. Putra Manuaba I. Made Adnyana Emmy Sahara 1Chemistry Department of Maths and Sciences Faculty Udayana University Bukit Campus Jimbaran-Bali Indonesia 2Study Program of Agriculture Engineering Faculty of Agricultural Technology Udayana University Bukit Campus Jimbaran-Bali Indonesia 3Agricultural Soil Department of Agricultural Faculty Udayana University Jl. P.B. Sudirman Denpasar-Bali Indonesia

This paper discusses the speciation and bioavailability of some heavy metals in agricultural soils used to cultivate various vegetables in Bedugul, Bali. Vegetables grown on contaminated soils where agrochemicals were applied uncontrolled could contain a number of heavy metals. This could occur in the vegetables produced from agricultural soils of Bedugul as the farmers applied agrochemicals excessively. In considering the metals transport to the vegetables, a speciation and bioavailability methods were necessary to be studied. Wet digestion and sequential extraction techniques were employed to the sample prior to the metals measurement by AAS. The results showed that the average concentrations of Pb, Cu, Cd, Cr, and Zn in the soils were 38.531, 132.126, 7.689, 15.952, and 147.275 mg/kg, respectively. The highest concentrations of Pb and Zn were found in the soil for cultivating lettuce, Cd and Cr in the soil for tomato, and Cu in the soil for potatoes. It was found that the speciation of Pb, Cu, Cd, and Cr were predominantly bound to Fe-Mn oxides fraction, while Zn was mostly associated with the EFLE (easily, freely, leachable, and exchangeable) fractions. The highest bioavailability among the metals in the studied soils was Cr, while the lowest was Cu.

关键词：

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：