StFX Scholar (St. Francis Xavier University)
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James Allen Organ
No full textposted: SaltWire, Jan. 19, 2022; funeral arrangements by Dennis Haverstock Funeral Homes; "Jimmy O"
Rodney Farley Manthorne
No full textposted: Echovita; funeral arrangements by G. W. Giffin Funeral Hom
Gordon Donald Sinclair MacIntosh
No full textposted: SaltWire, Apr. 7, 2022; funeral arrangements by G. W. Giffin Funeral Hom
Jessie Denny
No full textposted: SaltWire, Feb. 17, 2022; funeral arrangements by C. L. Curry Funeral Services; stepfather: Michael R. Denn
Charles Patrick Haley
No full textposted: SaltWire, Apr. 22, 2022; funeral arrangements by C. L. Curry Funeral Services; "Charlie"; of Glace Bay; pastry chef at Mount St. Bernard College on the St.F.X. campu
Catherine Kaye (Nock) Shaw
No full textposted: Le Necrologue, Necro Canada; funeral arrangements by Dennis Haverstock Funeral Homes; "Kaye"
Anne Mary (Beaton) Boucher
No full textposted: SaltWire, Jan. 15, 2022; funeral arrangements by Green's Funeral Home; "Annie-Mae Beaton"
The recovery, identification, and reburial of war dead by American, Canadian, and Commonwealth entities
No full textThe First and Second World Wars were catastrophic global events with unprecedented numbers of casualties. While many of the dead were recovered and buried during or immediately after the wars, thousands remain unaccounted for. Finding, identifying, and reburying those still missing provides closure for families and clarifies historical events on both global and national scales. Through a combination of interviews and documentary evidence, I compare the history, principles, and processes behind the recovery, identification, and reburial efforts of conflict casualties by the United States’ Defense POW/MIA Accounting Agency (DPAA), Canada’s Casualty Identification Program (CIP), and the Commonwealth War Graves Commission (CWGC). This research sheds light on the differences between these organizations as they affect the recovery, identification, and repatriation of war dead
Effective Vaccination Strategy for Infectious Diseases by Analyzing the Age and Comorbidity Attributes of Individuals on Social Network
No full textThe impact of infectious diseases on human society is immense, and the failure to control them can lead to a severe consequences. However, their impact can be minimized and prevented by vaccination, one of the most comprehensive and effective methods available. Therefore knowing how to apply a limited number of vaccines to a population such that outbreaks are minimized is important to maximize the efficacy of vaccination strategies. In this study, we are proposing a system that can be beneficial to minimize disease spread by developing effective vaccination strategies. The system is designed to work with a graph representing a real social network and the Susceptible, Exposed, Infectious, Removed (SEIR) epidemic model was used to model disease spread. We constructed an epidemic model taking into account the age and comorbidity attributes of the individuals in a community, and then ran it using Genetic Programming (GP) to discover new vaccination strategies. Having derived vaccination strategies, we then examined how age and comorbidities of individuals influence vaccination strategies. The results of testing the candidate strategies on multiple graphs indicate that the base strategies (i.e.“vaccinating high degree nodes”, “vaccinating the travelers”, “vaccinating the population randomly”, etc.) perform slightly worse when minimizing the total number of infected as well as minimizing the maximum number of infected. In all the cases, the attribute (i.e. age and comorbidity) derived strategies performed adequately, while age-derived strategies slightly outperform comorbidity-derived ones. Surprisingly, general Powerlaw Cluster Graph-derived strategies also meet the optimization objective expectations, which may imply that considering the attributes as graph measures is not contributing significantly to generating effective vaccination; rather it might increase the computational complexity. Instead, adding the graph topology alone can contribute to the generation of effective strategies.
In this study, all the parameters were determined by focusing on COVID-19, however, the method can also be applied to other epidemics. The model that we used for this study is generalizable to any community. We believe that our proposed model will be beneficial for health workers and policymakers with regards to preparing sustainable vaccination strategies for their respective communities and controlling disease spread
Roy Joseph Perry
No full textposted: SaltWire, Mar. 2, 2022; funeral arrangements by C. L. Curry Funeral Service