439 research outputs found
Photograph - Alumni Association. Dr Rachael Farrer-Mescham with her husband and co-author Professor Isadore Mescham
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/285066Alumni Association. Dr Rachael Farrer-Mescham with her husband and co-author Professor Isadore Mescham290397
Item: [2003.0003.02044] "Photograph - Alumni Association. Dr Rachael Farrer-Mescham with her husband and co-author Professor Isadore Mescham
Impacts of climate change on coastal forests in the northeast US
No full textTo better enable climate-smart decision-making, the U.S. Department of Agriculture Northeast Climate Hub engaged researchers at Rutgers University to conduct a synthesis of the current state of knowledge concerning how Northeastern U.S. coastal forests, specifically those in mid-Atlantic and southern New England states (VA, MD, DE, NJ, NY, CT, and MA), are responding to impacts from climate change. Drawing upon the scientific literature, expert interviews, and a January 2020 convening of scientists and land managers at the U.S. National Agricultural Library, Beltsville, Maryland, this synthesis identifies key knowledge gaps as well as potential management approaches
Impacts of climate change on coastal forests in the northeast US
No full textTo better enable climate-smart decision-making, the U.S. Department of Agriculture Northeast Climate Hub engaged researchers at Rutgers University to conduct a synthesis of the current state of knowledge concerning how Northeastern U.S. coastal forests, specifically those in mid-Atlantic and southern New England states (VA, MD, DE, NJ, NY, CT, and MA), are responding to impacts from climate change. Drawing upon the scientific literature, expert interviews, and a January 2020 convening of scientists and land managers at the U.S. National Agricultural Library, Beltsville, Maryland, this synthesis identifies key knowledge gaps as well as potential management approaches
Meet the next generation: Rachael Ironside.
Get PDFThis feature focuses on the next generation of scientists and scholars researching parapsychological topics. The author talks of her journey inside parapsychology, what is her biggest accomplishment and future research plans
Tipping elements and climate-economic shocks: Pathways toward integrated assessment
No full textThe literature on the costs of climate change often draws a link between climatic ‘tipping points’ and large economic shocks, frequently called ‘catastrophes’. The phrase ‘tipping points’ in this context can be misleading. In popular and social scientific discourse, ‘tipping points’ involve abrupt state changes. For some climatic ‘tipping points,’ the commitment to a state change may occur abruptly, but the change itself may be rate-limited and take centuries or longer to realize. Additionally, the connection between climatic ‘tipping points’ and economic losses is tenuous, though emerging empirical and process-model-based tools provide pathways for investigating it. We propose terminology to clarify the distinction between ‘tipping points’ in the popular sense, the critical thresholds exhibited by climatic and social ‘tipping elements,’ and ‘economic shocks’. The last may be associated with tipping elements, gradual climate change, or non-climatic triggers. We illustrate our proposed distinctions by surveying the literature on climatic tipping elements, climatically sensitive social tipping elements, and climate-economic shocks, and we propose a research agenda to advance the integrated assessment of all three.Peer reviewed
Letter from Helen (Nakamura) Napoleon to Rachael Kawasaki, July 5, 1991
No full textCorrespondence from Helen Napoleon to Rachael Kawasaki regarding redress payments for Napoleon's mother, Dorothy Nakamura, a non-Japanese individual who chose to accompany her spouse to an incarceration camp during World War II.The Japanese American Archival Collection documents the people, places, and daily life of Japanese Americans, primarily those who lived in the once thriving community of pre-war Florin in the Sacramento region, as well as the conditions in American incarceration camps during World War II. The approximately 7,000 original items include personal and official letters, photographs, diaries, arts and crafts, newsletters, textiles, camps artifacts, yearbooks and other publications
Bereavement, re-membering and speaking after the loss of a family member to suicide
Get PDFDisjunctions may arise after the loss of a friend or family member, especially after death through suicide. The first author (Rachael) calls on the words from bereaved people struggling to speak about such a loss. Their words resonate with her own lived experience of struggling to speak after the early ending of her father’s life through suicide.
Autoethnographies of three events (self-data) written in the first and third person opened up spaces for Rachael to trouble and break the silence that prevailed in the discursive context of her experience of loss. The authors draw on poststructuralist theory and practices of narrative therapy to reflect on and theorise the transformation that occurred as ways were found for Rachael to speak.
The autoethnographic narratives show how, by participating in a family “re-membering” conversation, Rachael and her siblings were able to honour their father in a way that sustained their hopes to speak together about their loss for the first time and story the subsequent reconnection of family members. This article potentially opens up spaces for further conversations about the possibilities and challenges of speaking about suicide loss
Toxic Masculinity, Unyielding Vaginas, and Vampires: Gender Roles in Stephenie Meyer’s Twilight series and Life and Death
Get PDFRachael Linthicum compares and critiques the first novel of the Twilight saga and author Stephenie Meyer\u27s most recent novel, Life and Death, a gender-swapped version of the same story. This essay offers careful analysis, ultimately arguing that agency is too often withheld from female characters in popular culture. For a topic that is so often talked-about--that is, the depiction of women in the media--this piece remains fresh, interesting, and authentic. This essay was composed for WRTC 420: Feminist Rhetorics
GAMBARAN KASIH SAYANG DALAM NOVEL FIVE FEET APART KARYA RACHAEL LIPPINCOTT
Get PDFThis research is entitled Representation of Love’s In Five Feet Apart’s novel By Rachael Lippincott. The objective of the study are to discribing the main characters and the loves in this novel. This research uses descriptive qualitative method with mimetic approach. The results of this study, there are three dimensional aspects to analyze the main characters based on Egri (1946) theory such as: physiological dimensions, sociological dimensions, and psychologycal dimensions. The author also find several kinds of loves based on Maslow (1943) and Sternberg (1988) such as loves from mother, siblings, friends, couples, and others
aus_precip_benchmarking: Benchmarking Precipitation in Regional Climate Models: Jupyter Notebooks (Python)
No full text<p>This is the initial release of the main Jupyter Notebooks (Python) used to complete the analysis and create the figures for the manuscript: Isphording, R.N., L.V. Alexander, M. Bador, D. Green, J. P. Evans, and S. Wales. A Standardized Benchmarking Framework to Assess Downscaled Precipitation Simulations. Accepted in Journal of Climate. in revision.</p>
<p>Each notebook corresponds to 1-2 figures within the manuscript. The master_functions_bmf notebook contains custom functions used in the corresponding notebooks. The functions are outlined in the README document and are organized based on their broader use: </p>
<p>File Input functions:</p>
<pre><code>- Get data model names from a user-defined dictionary
- Get a subset of models from a user-defined dictionary
- Get model data paths
- Get data from paths
</code></pre>
<p>Plotting Functions:</p>
<pre><code>- Truncating a predefined colormap
- Define vertical bands to shade along a time series
</code></pre>
<p>Spatially Averaged Functions:</p>
<pre><code>- Weighted Spatial Average from Pre-processed Data (such as a climatology)
- Spatial Pattern Correlation (Homogenous Variable Names)
- Mean Absolute Percentage Error (Homogenous Variable Names)
- Monthly Averages over time/space to gauge seasonality (Homogenous Variable Names)
- Annual Averages
- Normalized Root Mean Square Error for pre-processed data (i.e. maps of climatologies or other calculated values)
- Paired Bootstrapping function to calculate the Circular Correlation Coefficient on a random subset of two sets of data
- Get Weighted Spatial Average at Default Time Step
</code></pre>
<p>Metrics for Maps (Temporally Averaged):</p>
<pre><code>- Get Bias
- Get Climatology
- Get the Amplitude of the Annual Cycle at Each Grid Point
- Get the Phase of the Annual Cycle at Each Grid Point</code></pre>
<p> </p>
<p>These notebooks require a general understanding of Python programming but were developed to encourage reuse from the broader climate/Earth Science community and include options not explicitly used within the manuscript (such as seasonal subsetting). Unless a user is analyzing the same 24 simulations as in the manuscript, they will need to revise the gcm_ and rcm_names dictionaries in the master_functions notebook based on their ensemble. They will also need to edit the Spatiotemporal Boundaries, Data Keywords, and the master path(s) within each Fig* notebook to match their database structure. They will also likely need to change the figure settings based on the size of their ensemble, the range of their values, the region, etc. It's also encouraged to review the masking definitions in the function if users are incorporating masking over their domain.</p>
<p>More information and guidance for reuse are included within each Notebook. We encourage users to adapt these scripts to their needs.</p>Contact details: Please follow ORCID to get current email address.
Additional funding acknowledgments: This work received funding from the University of New South Wales (UNSW) and ARC grant FT210100459. This project was supported by CLEX (ARC Grant No. CE170100023) and received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Grant agreement No 101027577. The author is also supported by a Scientia PhD scholarship from UNSW (Program code 1476). The analyses and dataset publications completed through this project used resources and services provided by the National Computational Infrastructure which is supported by the Australian Government
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