126 research outputs found
Hedge Hog! by A. Anstee
No full textAnstee, Ashlyn. Hedge Hog! Illustrated by Ashlyn Anstee. Tundra Books, 2018.After Are We There, Yeti? and No, No, Gnome!, Canadian born author/illustrator/animator Ashlyn Anstee presents us with the delightfully punny Hedge Hog!. In this story, our titular main character Hedgehog tries to keep all the other yard animals away from his hedge. Can the other animals convince him to open up his doors before winter comes? Not if Hedgehog has anything to say about it. The author tells a simple, yet charming story that can be used to teach a young reader about the importance of sharing and caring for your neighbours or as a political allegory dealing with immigration. Some readers will also enjoy the tale for what it is, a fun and entertaining story. The art is the real strong point of this story. The charming and pleasant looking characters, and the world of the yard that the author creates are sure to appeal to anyone reading through this book. Just the cover art alone is likely to pique anyone's interest. The illustrations are not only cute, but they also do a wonderful job of conveying the story. Regardless of the reader's reading level, they are sure to get something out of this tale.With strong, yet easily digestible writing and charming illustrations, this story is perfect for new readers. Whether they are reading by themselves or along with their parents, there is lots to fall in love with here.Highly Recommended: 4 out of 4 starsReviewer: Adam CohenAdam has his BSc in archaeology from the University of Calgary and is a current graduate student in the University of Alberta’s Masters of Library and Information Studies program. He is also a member of Future Librarians for Intellectual Freedom, and works as a metadata assistant at the University of Alberta Libraries. </jats:p
Aquatic Substrate Library - Wallis Lake 2001
No full textMaintenance and Update Frequency: asNeededStatement: This dataset is part of the NSD Aquatic Spectral Library<b>Purpose</b><br/>Application of spectral data to plant physiology studies, geological sciences, soil sciences, limnology, oceanography and atmospheric chemistry, and other research.Record for source data hosted in the National Spectral Database (NSD) Aquatic Library<br/><br/>Citation:<br/>Dekker, A. G., Anstee, J. M., and Brando, V. E. (2002) Seagrass change assessment using satellite data for Wallis lake. Canberra, ACT, Australia, CSIRO Land & Water. Technical Report 13/04<br/>Publication:<br/>Dekker, A. G., Anstee, J. M., and Brando, V. E. (2005) Retrospective seagrass change detection in a shallow coastal tidal Australian lake, Rem. Sens. Environm. Vol. 97 (4), pp. 415-433. https://doi.org/10.1016/j.rse.2005.02.017<br/><br/>For further information and instructions to access the database go to the following URL:<br/>https://cmi.ga.gov.au/data-products/dea/643/australian-national-spectral-databas
The impact of COVID-19 on nurses ( ICON ) survey: nurses' accounts of what would have helped to improve their working lives
No full textAims: To use nurses' descriptions of what would have improved their working lives during the first peak of the COVID‐19 pandemic in the UK. Design: Analysis of free‐text responses from a cross‐sectional survey of the UK nursing and midwifery workforce. Methods: Between 2 and 14 April 2020, 3299 nurses and midwives completed an online survey, as part of the ‘Impact of COVID‐19 on Nurses’ (ICON) study. 2205 (67%) gave answers to a question asking for the top three things that the government or their employer could do to improve their working lives. Each participants' response was coded using thematic and content analysis. Multiple response analysis quantified the frequency of different issues and themes and examined variation by employer. Results: Most (77%) were employed by the National Health Service (77%) and worked at staff or senior staff nurse levels (55%). 5938 codable responses were generated. Personal protective equipment/staff safety (60.0%), support to workforce (28.6%) and better communication (21.9%) were the most cited themes. Within ‘personal protective equipment’, responses focussed most on available supply. Only 2.8% stated that nothing further could be done. Patterns were similar in both NHS and non‐NHS settings. Conclusions: The analysis provided valuable insight into key changes required to improve the work lives of nurses during a pandemic. Urgent improvements in provision and quality of personal protective equipment were needed for the safety of both workforce and patients. Impact: Failure to meet nurses needs to be safe at work appears to have damaged morale in this vital workforce. We identified key strategies that, if implemented by the Government and employers, could have improved the working lives of the nursing and midwifery workforce during the early stages of the COVID‐19 pandemic and could prevent the pandemic from having a longer‐term negative impact on the retention of this vital workforce. Patient or Public Contribution: No Patient or Public Contribution, due to the COVID‐19 Pandemic, urgency of the work and the target population being health and social care staff
Estuarine macrophytes and saltmarsh vegetation reflectance spectra collected at Wallis Lake (NSW, Australia)
No full textWallis Lake is a shallow estuarine lake system consisting of lakes and rivers with interconnecting channels. The lake is a significant environmental resource and is also used for recreational activities and aquaculture.
In collaboration with participants from NSW DPI, CSIRO undertook a fieldwork campaign at Wallis Lake 12-16 May 2008 to fill in known gaps in saltmarsh, mangrove, seagrass and macro-algae spectra as well as abiotic backgrounds such as sand and mud.
Benthic material were collected with an Eckman grab, where the structure and shape of the sample was retained. Samples were placed on a black neoprene mat and spectra were collected using a RAMSES spectroradiometer. The RAMSES spectroradiaometer system deployed at Wallis Lake consisted of two cosine collector sensors measuring downwelling irradiance (Ed) and one radiance collector measuring upwelling radiance (Lu).
In situ spectral reflectance of intertidal and supratidal vegetation were collected with an ASD-FR FieldSpec Pro spectroradiometer system which measures over a range of 325 to 2500 nm. To fill in data gaps, additional supratidal substratum spectra were collected in September 2008 with an ASD FieldSpec Pro HandHeld spectroradiometer (www.asdi.com). Substratum irradiance reflectance was calculated as the ratio of the upwelling radiance (Lu) and the downwelling irradiance (Ed): Rsub = Lu/Ed
Thus the substratum reflectance is a measure of the reflection of light from the target irrespective of the illumination quantity. All measurements were collected close to the target with a 5° fore-optic fitted to the optical fibre, limiting the instrument field of view (FOV) to that of the only the target. This was done to ensure that only pure end-member spectra were collected. Ed was defined by a spectralon panel at the same distance as the selected target. Above-water spectra were collected with the foreoptic mounted in a standard pistol-grip enabling accurate pointing of the fibre within its FOV boundaries. Reference spectra from the spectralon panel were collected at frequent intervals to compensate for the effects of variable atmospheric conditions on natural irradiance. Field spectral reflectance values were corrected for irradiance variations, assuming a linear change in irradiance over time, using these reference spectra.
Data collected during this field campaign included:
- Inherent optical properties (IOP) and apparent optical properties (AOP) measurements of water quality in representative waters of Wallis Lake and rivers
_ Reflectance measurements of seagrasses, algae and mud/sand collected with a RAMSES
- field spectrometer
- GPS depth transect across Posidonia beds on the eastern boundary of Wallis Island.
- A pseudo invariant feature (PIF) measurement on the Wallis Island airstrip was collected to assist in the atmospheric correction of the 2003 Quickbird imagery which had exhibited significant calibration issues and could not be successfully corrected for atmospheric effects by standard methodologies undertaken by CSIRO. The reflectance values collected at the airstrip was assumed to represent reflectance at the time when the satellite image was collected.
- Terrestrial reflectance spectra of saltmarsh and mangrove species as well as other key species present were collected with an ASD field spectrometer for inclusion in the spectral library as well as for validation purposes
Aquatic Substrate Library - Fitzroy River Estuary 2003
No full textMaintenance and Update Frequency: asNeededStatement: This dataset is part of the NSD Aquatic Spectral Library<b>Purpose</b><br/>Application of spectral data to plant physiology studies, geological sciences, soil sciences, limnology, oceanography and atmospheric chemistry, and other research.Record for source data hosted in the National Spectral Database (NSD) Aquatic Library<br/><br/>Citation:<br/>Dekker, A.G., Brando, V.E., Anstee, J.M., Marks, A., Phinn, S., Roelfsema, C. Scarth, P., (2005). Final Report – Fitzroy Estuary and Port Curtis Remote Sensing Tasks (FE2 and PC2). Dekker, A.G. and Phinn, S (eds), Published by the CRC for Coastal Zone, Estuary and Waterway Management, Indooroopilly, Qld, Australia.<br/><br/>For further information and instructions to access the database go to the following URL:<br/>https://cmi.ga.gov.au/data-products/dea/643/australian-national-spectral-databas
Distinct peaks of UV-absorbing compounds in CDOM and particulate absorption spectra, of near-surface Great Barrier Reef coastal waters, associated with the presence of Trichodesmium spp. (NE Australia)
No full textDuring a field study in The Fitzroy River/Estuary and Keppel Bay region of the Great Barrier Reef in September 2003, samples collected for CDOM and particulate absorption were found to have peaks in the UV region of the absorption spectra. These peaks are assumed to be due to the presence of Mycosporine Amino Acids (MAAs) and are not often observed, especially in the dissolved or CDOM fraction. The data provided shows the effect the UV-absorbing compounds (MAAs) have on the absorption recorded in the visible region. This in turn ultimately affects the accuracy of satellite remote sensing imagery to accurately depict the presence of phytoplankton blooms. \nLineage: A field survey was carried out in the Fitzroy River Estuary – Keppel Bay region within the Great Barrier Reef (GBR) Lagoon in NE Australia between 05 – 12 September 2003. Around 60 sites were sampled to determine various optical and biogeochemical parameters, but this data set is only from sites within Keppel Bay and does not include sites sampled within the Fitzroy River or near the river mouth. \nDiscrete water samples were collected, at several sites, from the surface waters using a 10 L plastic carboy held approximately 10 -20 cm under the surface (nominally referred to as “surface” samples). From this bulk water sample, subsamples were taken for the determination of total suspended matter (TSM) concentration, HPLC pigment concentration and composition, and the absorption coefficient of the particulate and dissolved fractions. At two sites (38 and 48), Trichodesmium cells/colonies were visible in the surface waters. In an attempt to capture these cells/colonies, an additional sample was collected by holding a 2 L plastic bottle within the top 2 - 3 cm of the surface layer, such that the mouth of the bottle was not fully submerged (nominally referred to as “near-surface” samples) and subsamples were taken for all discrete measurements.\n\nIn situ continuous measurements of total absorption and spectral attenuation were collected along a horizontal transect using an ac-9 (WETLabs, 9 wavelengths, 25 cm path length). The water intake for the ac-9 was about 1 meter below the water’s surface and the water was pumped, using low pressure, through a stainless steel filter mesh (pore size 350 um) and a debubbling system into the ac-9 chamber at a flow rate of 6 litres per minute. Samples were collected from the outflow of the ac-9 only at site 9. \nPigment analysis - sample water was filtered through a 47 mm glass-fibre filter (Whatman GF/F) using low vacuum and then stored in liquid nitrogen until analysis. Pigment extracts were analysed using a published method with a HPLC (Waters) and photo-diode array detection. The separated pigments were detected at 436 nm and identified against standard spectra using Waters Millenium software. Concentrations of chl-a, chl-b, and B,B-carotene were determined from standards (Sigma) and all other pigment concentrations were determined from standards of purified pigments isolated from algal cultures. \nParticulate and detrital absorption - sample water was filtered through a 25 mm glass-fibre filter (Whatman GF/F) and then stored flat in liquid nitrogen until analysis. Optical density (OD) spectra for total particulate and detrital matter were obtained using a GBC 916 UV/VIS dual beam spectro-photometer equipped with integrating sphere. The OD spectrum of the phytoplankton pigment was obtained as the difference between the OD of the total particulate and detrital components. The optical density scans were converted to absorption spectra by first nor-malising the scans to zero at 830 nm and then correcting for the path length amplification. \nCDOM absorption -samples were generally analysed within 24 – 48 hours after collection. At the laboratory, the pre-filtered samples were stored under subdued light until they reached room temperature (3 – 4 hours) and then filtered through a 0.2 um Durapore filter (25 mm, Millipore) immediately prior to analysis. The CDOM absorbance was measured in a 10 cm path length quartz cell, from 200–900 nm, using the normal cell compartment of the GBC 916 UV/VIS spectrophotometer, with Milli-Q water as a reference. \
Earth Observation aLMI Derived Water Quality Products for Melbourne Water's WTP
No full textProducts outputs produced by CSIRO from the H2020 PrimeWater project for the Melbourne Water's Western Treatment plant at Werribee, Victoria, Australia.\nLineage: The aLMI code was installed on the CSIRO EASI platform (https://research.csiro.au/cceo/underpinning-technologies/earth-analytics/ ) and applied to the two Australian study sites using the multispectral Sentinel-2 and Landsat-8 analysis ready data (ARD) surface reflectance data publicly available on the Digital Earth Australia. The aLMI model was applied to the Sentinel-2 and Landsat 8 Analysis Ready Data (ARD) parameterised using SIOP sets from Lake Hume and the WWTP sites. Eight SIOP sets were provided to the model for Lake Hume and WWTP runs respectively. In each case, inversion runs for each site were conducted using the SIOP sets measured at the water body. The aLMI code retrieves simultaneous concentration estimations of chlorophyll-a and Non-algal Particulates (NAP), Colour Dissolved Organic Matter absorption (aCDOM(440nm)), Vertical Attenuation coefficient Kd(490nm) and Secchi Disk Depth (SDD). Additional parameters can be output if required, including:\n•\tDiffuse extinction coefficient (PAR) \n•\tTotal, Phytoplankton and NAP absorption\n•\tPhytoplankton, Particulate & NAP backscattering \n•\tModel closure\
Earth Observation aLMI Derived Water Quality Products for Lake Hume
No full textSentinel-2 and Landsat-8 images of Lake Hume processed using the CSIRO inversion model aLMI (Brando, V. E., A. G. Dekker, Y. J. Park, and T. Schroeder (2012), An adaptive semiͲanalytical inversion of\nocean colour radiometry in optically complex waters, Applied Optics, 51(15), 2808Ͳ2833) for the PrimeWater H2020 project.\nLineage: The aLMI code was installed on the CSIRO EASI platform (https://research.csiro.au/cceo/underpinning-technologies/earth-analytics/ ) and applied to the two Australian study sites using the multispectral Sentinel-2 and Landsat-8 analysis ready data (ARD) surface reflectance data publicly available on the Digital Earth Australia. The aLMI model was applied to the Sentinel-2 and Landsat 8 Analysis Ready Data (ARD) parameterised using SIOP sets from Lake Hume and the WWTP sites. Eight SIOP sets were provided to the model for Lake Hume and WWTP runs respectively. In each case, inversion runs for each site were conducted using the SIOP sets measured at the water body. The aLMI code retrieves simultaneous concentration estimations of chlorophyll-a and Non-algal Particulates (NAP), Colour Dissolved Organic Matter absorption (aCDOM(440nm)), Vertical Attenuation coefficient Kd(490nm) and Secchi Disk Depth (SDD). Additional parameters can be output if required, including:\n•\tDiffuse extinction coefficient (PAR) \n•\tTotal, Phytoplankton and NAP absorption\n•\tPhytoplankton, Particulate & NAP backscattering \n•\tModel closure\
Intertidal and subtidal benthic reflectance spectra collected at Georgina Cay (Lihou Reef National Marine Park, Coral Sea Territory, Australia)
No full textField work was undertaken in the Lihou Reef National Marine Park (Coral Sea Territory, Australia, 17.583°S, 151.517°E) in December 2008. The aim of the remote sensing component of the field work was to collect in situ data for both remote sensing model parameterisation and for validation of remote sensing based results. Effort was placed on trying to characterise the (variations in) optical properties of the benthic substrates and vegetation that are part of the Lihou Reef Cay system (i.e. surrounding reefs and islands, respectively). Sample biotic and abiotic benthic types were sourced in situ in the intertidal- (exposed, above water) and the near-shore subtidal (submerged) zone. Benthic substratum reflectance spectra were measured from opportunistic samples collected in the intertidal and subtidal zone by snorkelers and divers.
Spectral data was collected with an ASD FieldSpec Pro HandHeld spectroradiometer (http://www.asdi.com) which is designed for portability and measures over the range 325 to 1075 nm with a sampling interval of 1.4nm and a Full Width at Half Maximum (FWHM) resolution of 3nm. Substratum irradiance reflectance was calculated as the ratio of the upwelling radiance (Lu) and the downwelling irradiance (Ed): Rsub = Lu/Ed
Thus the substratum reflectance is a measure of the reflection of light from the target irrespective of the illumination quantity. All measurements were collected close to the target with a 5° fore-optic fitted to the optical fibre, limiting the instrument field of view (FOV) to that of the only the target. This was done to ensure that only pure end-member spectra were collected. Ed was defined by a spectralon panel and at the same distance as the selected target. Above-water spectra were collected with the foreoptic mounted in a standard pistol-grip enabling accurate pointing of the fibre within its FOV boundaries. Reference spectra from the spectralon panel were collected at frequent intervals to compensate for the effects of variable atmospheric conditions on natural irradiance. Field spectral reflectance values were corrected for irradiance variations, assuming a linear change in irradiance over time, using these reference spectra.
Additional data collected during this field campaign included:
- Reflectance spectra of, intertidal and benthic substrates believed to be representative of the island/lagoon system using a non-submersible ASD FieldSpec handheld spectrometer as well as a submersible HydroRad spectrometer.
- Measurements were made of the optical quality of the waters within the Lihou lagoon, the individual cay lagoons of Georgina, Anne, Lorna and Turtle cays as well as the surrounding open ocean locations
Properties of (0, 1)-matrices without certain configurations
No full textAbstractWe generalize results of Ryser on (0, 1)-matrices without triangles, 3 × 3 submatrices with row and column sums 2. The extremal case of matrices without triangles was previously studied by the author. Let the row intersection of row i and row j (i ≠ j) of some matrix, when regarded as a vector, have a 1 in a given column if both row i and row j do not 0 otherwise. For matrices satisfying some conditions on forbidden configurations and column sums ⩾ 2, we find that the number of linearly independent row intersections is equal to the number of distinct columns. The extremal matrices with m rows and (m2) distinct columns have a unique SDR of pairs of rows with 1's. A triangle bordered with a column of 0's and its (0, 1)-complement are also considered as forbidden configurations. Similar results are obtained and the extremal matrices are closely related to the extremal matrices without triangles
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