196,608 research outputs found
Seaview Survey: GBR Training and Validation Dataset
No full textThis dataset consists of: (1) a series of images from a transect on Australia'a Great Barrier Reef ("images_training" and "images_validation" folders); (2) a description of the features we would like to identify within the images ("label_key.csv"); (3) a training dataset that can be used to train an interpretation algorithm to automatically identify those features in the images ("training_dataset.csv"); (4) a validation dataset that can be used to assess the performance of any interpretation algorithm ("validation_dataset.csv"). Each of the images has been processed to correct for lens distortion and cropped to standardise the area covered to approximately 1 square meter 'quadrats'. These training and validation datasets were developed by expert human interpretation of images.The images were collected on several different coral reefs within the Great Barrier Reef between 2012-2014, so represent a variety of communities and conditions.The training and validation datasets consists primarily of randomly selected points on images, but this random sample has been manually augmented to ensure that the full range of features has adequate representation. The row and column data in these datasets are in reference to the top left of the image with an origin coordinate of (1, 1).The challenge is to develop novel ways of processing these images to extract information that can help us monitor and manage coral reefs.Tabular dataset field descriptions:label_key.csv:id: label ID numberlabel_code: the short code representing the features of interestfunctional_group: a more general categorisation of the featureslabel_description: a brief description of what the labels representbenchmark: the classification accuracy (%) of the current best performing classification algorithmtraining_dataset.csv & validation_dataset.csv:qid: quadrat ID numberrow, col: the row and column of the pixel associated with the training/validation record (based on a top-left image origin)label: the names of the features of interestlabel_code: the short code representing the features of interestfunctional_group: a more general categorisation of the featuresfilename: the name of the image associated with the training/validation recordmethod: random (the point was generated randomly), target (the point was human- generated in order to ensure every feature has adequate representation Citation for this dataset:González-Rivero M, Beijbom O, Rodriguez-Ramirez A, Holtrop T, González-Marrero Y, Ganase A, Roelfsema C, Phinn S, Hoegh-Guldberg O (2016) Scaling up ecological measurements of coral reefs using semi-automated field image collection and analysis. Remote Sensing 8:30.License:These data are shared under a Creative Commons Attribution Share Alike License:https://creativecommons.org/licenses/by-sa/2.5/au
Cargo operations on LNG ships with special reference to M/V Hoegh Galleon
No full textBrodovi za prijevoz ukapljenog plina sa tankovima membranskog tipa predstavljaju sadašnjost i budućnost svjetske trgovačke flote. Kao takvi, posebni su po svojim izvedbenim karakteristikama, načinu prijevoza tereta te samim operacijama prekrcaja. Kroz ovaj završni radit obradit će se operacije sa teretom na LNG brodovima s membranskim tipom tankova. Rad je podijeljen u 3 glavna poglavlja, od kojih se u prvom opisuju vrste i karakteristike membranskih tankova, a drugo je poglavlje rezervirano za teretne sustave koji se mogu pronaći na membranskim LNG brodovima. U posljednjem poglavlju obrađuje se sama srž ovoga rada, odnosno operacije sa teretom koje prate brod od njegovog prvog izlaska iz suhog doka pa sve do njegovog ponovnog vraćanja u dok. Svaka operacija sa teretom, a ujedno i teretni sustav koji je potreban za obavljanje iste je referenciran na brod Hoegh Galleon. Riječ je LNG carrieru čiji je vlasnik norveška kompanija imena Hoegh LNG.Ships designed for carriage of liquified natural gas with membrane design of tanks represent the present and future of the world merchant fleet. As such, they are special in terms of their performance characteristics, the mode of cargo transport and the cargo operations themselves. Through this thesis, cargo operations on LNG ships with membrane-type cargo tanks will be processed. This thesis is divided into 3 main chapters, the first of which describes the types and characteristics of membrane tanks, and the second chapter is reserved for cargo systems that can be found on membrane LNG ships. The last chapter deals with the very core of this undergraduated thesis, cargo operations that accompany the ship from its first exit from the dry dock until its return to the dock. Any cargo operation, and cargo system required to perform the operation, is referred to the ship Hoegh Galleon. It is an LNG carrier owned by a Norwegian company named Hoegh LNG
Cell death and degeneration in the symbiotic dinoflagellates of the coral Stylophora pistillata during bleaching
Get PDFRising sea temperatures are increasing the incidences of mass coral bleaching (the dissociation
of the coral–algal symbiosis) and coral mortality. In this study, the effects of bleaching
(induced by elevated light and temperature) on the condition of symbiotic dinoflagellates (Symbiodinium
sp.) within the tissue of the hard coral Stylophora pistillata (Esper) were assessed using a suite
of techniques. Bleaching of S. pistillata was accompanied by declines in the maximum potential
quantum yield of photosynthesis (Fv/Fm, measured using pulse amplitude modulated [PAM] fluorometry),
an increase in the number of Sytox-green-stained algae (indicating compromised algal membrane
integrity and cell death), an increase in 2’,7’-dichlorodihydrofluroscein diacetate (H2DCFDA)-
stained algae (indicating increased oxidative stress), as well as ultrastructural changes (vacuolisation,
losses of chlorophyll, and an increase in accumulation bodies). Algae expelled from S. pistillata
exhibited a complete disorganisation of cellular contents; expelled cells contained only amorphous
material. In situ samples taken during a natural mass coral bleaching event on the Great Barrier Reef
in February 2002 also revealed a high number of Sytox-labelled algae cells in symbio. Dinoflagellate
degeneration during bleaching seems to be similar to the changes resulting from senescence-phase
cell death in cultured algae. These data support a role for oxidative stress in the mechanism of coral
bleaching and highlight the importance of algal degeneration during the bleaching of a reef coral
A mathematical proof of the existence of trends in financial time series
Get PDFWe are settling a longstanding quarrel in quantitative finance by proving the existence of trends in financial time series thanks to a theorem due to P. Cartier and Y. Perrin, which is expressed in the language of nonstandard analysis (Integration over finite sets, F. & M. Diener (Eds): Nonstandard Analysis in Practice, Springer, 1995, pp. 195--204). Those trends, which might coexist with some altered random walk paradigm and efficient market hypothesis, seem nevertheless difficult to reconcile with the celebrated Black-Scholes model. They are estimated via recent techniques stemming from control and signal theory. Several quite convincing computer simulations on the forecast of various financial quantities are depicted. We conclude by discussing the rôle of probability theory.Financial time series; mathematical finance; technical analysis; trends; random walks; efficient markets; forecasting; volatility; heteroscedasticity; quickly fluctuating functions; low-pass filters; nonstandard analysis; operational calculus.
Dr. Duane M. Jackson, Morehouse College, July 2011
No full textThis video is a conversation with Dr. Duane M. Jackson. Dr. Jackson talks about his paper, "Recall and the Serial Position Effect: The Role of Primacy and Recency on Accounting Students' Performance." Jackie Daniel, AUC Woodruff Library, is the interviewer
"Reflections on the subject of Emigration from Europe with a view to Settlement in the United States" By M. Carey.
No full text"Reflections on the subject of Emigration from Europe with a view to Settlement in the United States: containing bried sketches of the moral and political character of those states.
By M. Carey, member of the American philosophical, and of the American Antiquarian Society, and author of The Olive Branch, Cindiciae Hibernicae, essays on banking, on political economy, and on internal improvement.
To which are now added the English editor's comments on the subject; together with Important Advice to Emigrants, and Cautions Against Impositions Practiced in the Outports
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Dr. Glendon Swarthout
No full textHosted by Roger M. Busfield, MSU Assistant Professor of Speech and Theater, Meet the Author is designed to introduce a general audience to a contemporary author and their work through in-depth interviews. This episode features a conversation between Dr. Glendon Swarthout, prolific author and English professor at MSU, and assistant professors Sam S. Baskett and Theodore B. Strandness
Seaview Survey: GBR Training and Validation Dataset
No full textThis dataset consists of: (1) a series of images from a transect on Australia'a Great Barrier Reef ("images_training" and "images_validation" folders); (2) a description of the features we would like to identify within the images ("label_key.csv"); (3) a training dataset that can be used to train an interpretation algorithm to automatically identify those features in the images ("training_dataset.csv"); (4) a validation dataset that can be used to assess the performance of any interpretation algorithm ("validation_dataset.csv").
Each of the images has been processed to correct for lens distortion and cropped to standardise the area covered to approximately 1 square meter 'quadrats'. These training and validation datasets were developed by expert human interpretation of images.
The images were collected on several different coral reefs within the Great Barrier Reef between 2012-2014, so represent a variety of communities and conditions.
The training and validation datasets consists primarily of randomly selected points on images, but this random sample has been manually augmented to ensure that the full range of features has adequate representation. The row and column data in these datasets are in reference to the top left of the image with an origin coordinate of (1, 1).
The challenge is to develop novel ways of processing these images to extract information that can help us monitor and manage coral reefs.
Tabular dataset field descriptions:
label_key.csv:
id: label ID number
label_code: the short code representing the features of interest
functional_group: a more general categorisation of the features
label_description: a brief description of what the labels represent
benchmark: the classification accuracy (%) of the current best performing
classification algorithm
training_dataset.csv & validation_dataset.csv:
qid: quadrat ID number
row, col: the row and column of the pixel associated with the training/validation
record (based on a top-left image origin)
label: the names of the features of interest
label_code: the short code representing the features of interest
functional_group: a more general categorisation of the features
filename: the name of the image associated with the training/validation record
method: random (the point was generated randomly), target (the point was human-
generated in order to ensure every feature has adequate representation
Citation for this dataset:
González-Rivero M, Beijbom O, Rodriguez-Ramirez A, Holtrop T, González-Marrero Y, Ganase A, Roelfsema C, Phinn S, Hoegh-Guldberg O (2016) Scaling up ecological measurements of coral reefs using semi-automated field image collection and analysis. Remote Sensing 8:30.
License:
These data are shared under a Creative Commons Attribution Share Alike License:
https://creativecommons.org/licenses/by-sa/2.5/au
The Great Barrier Reef: biology, environment and management
Get PDF[Publisher's description:] Describes the animals, plants and other organisms of the reef, and the biological, chemical and physical processes that influence them.
The iconic and beautiful Great Barrier Reef Marine Park is home to one of the most diverse ecosystems in the world.
With contributions from international experts, this timely and fully updated second edition of The Great Barrier Reef describes the animals, plants and other organisms of the reef, as well as the biological, chemical and physical processes that influence them. It contains new chapters on shelf slopes and fisheries and addresses pressing issues such as climate change, ocean acidification, coral bleaching and disease, and invasive species.
The Great Barrier Reef is a must-read for the interested reef tourist, student, researcher and environmental manager. While it has an Australian focus, it can equally be used as a reference text for most Indo-Pacific coral reefs
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