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7 Grandfather Teachings
No full textLeland Bell was born in 1953 at Wikwemikong Unceded First Nation on Manitoulin Island, Ontario (Note: the name Wikwemikong means “bay of beavers”); he was raised there and in Toronto and graduated from Laurentian University in Sudbury where he majored in Native Studies. His spirit name is Bebaminojmat, he is of the Loon Clan, and is a “second degree” member of the Three Fires Midewiwin society. An Ojibwa-Odawa, Bell prefers to identify himself as an Anishinabe, an Ojibwa word for North America meaning literally “from whence man was lowered”. He “firmly believes in the notion that Anishinabe culture contains all the necessary paradigms of knowledge to nurture the survival of the Anishinabe people”. As an artist, he believes that the way that “colours, lines, shapes and compositions are perceived” can be understood in the context of that culture. He was one of the young men mentored by members of the Indian Group of Seven at the Manitou Arts Foundation, a summer school that operated on Schreiber Island in 1972. He was deeply inspired by the work of the Woodland artists and with the help of elders has made the connection between the Anishnabe concept of vision quest and his own commitment to living life as a good being.The Seven Grandfather -- or Grandmother -- Teachings were gifted to the Anishinaabe people, who have since shared them with many peoples. The Seven Teachings give us guideposts about how to live a good life, minobimaadiziwin. Each teaching requires lifelong reflection and practice.
Wisdom: is to cherish knowledge
Love: is to know peace
Respect: is to honour all of creation
Bravery: is to face fear with integrity
Honesty: is to know yourself and use that knowledge to act in good ways
Humility: is to acknowledge how little you know
Truth: is to know all these thing
What is the impact of Long-Term Supervision Orders on recidivism rates among adult male offenders?
No full textThis research project aims to uncover the impact of Long-Term Supervision Orders on recidivism rates among adult males. The findings from this study can help policymakers and the judiciary determine what sentences are most appropriate to apply when considering public safety and an offender’s rehabilitation. This study consists of secondary research, as the results to the research question are derived from existing research on recidivism rates and Long-Term Supervision Orders. The scope of the study includes all male offenders who are subject to a long-term supervision order. Some key findings from this research are that Long-Term Supervision Orders are not effective at reducing recidivism. The length of the order and the imposition of residency conditions were found to have no impact on recidivism. As such, this study suggests that the judiciary and the Parole Board adopt new policies and requirements when making decisions regarding Long-Term Supervision Orders.long-term supervision orders; recidivism; community supervision; rehabilitation; correction
Interval-valued Pythagorean fuzzy decision-making models for evaluating challenges of digital transformation
No full textThe aim and objective of the thesis entitled “Interval-valued Pythagorean Fuzzy Decision-Making Models for Evaluating Challenges of Digital Transformation” are as follows: The first objective is to develop new entropy and divergence measures to handle the uncertainty under interval-valued Pythagorean fuzzy environment to determine the significance degree/weight DT challenges of the manufacturing systems. The second objective is to develop a hybrid decision-making models to evaluate the DT challenges of the manufacturing systems from interval-valued Pythagorean fuzzy perspective. And the last objective is to propose a comprehensive framework to evaluate digital transformation challenges in sustainable financial service systems of the banking sector
Sales forecasting using classical and machine learning approaches: A comparative study
No full textThis research makes a comparison of sales predictions from classical statistical models with predictions from machine learning and deep learning models. Since sales forecasting is an activity that has an integral impact on an organization, the need to establish more accurate forecasting methods has prompted a large number of studies on the subject, in turn driving the creation of new models, however, one issue that was displaced is the error metrics of these predictions and their impact on the business sector.
Ten different forecasting models were used to obtain the predictions of four datasets, and their accuracy was measured using classical metrics such as ratio coefficients and vertical error metrics, and new theories such as peak similarity were also considered to establish the horizontal error of the predictions. The results show that classical statistical models showed the best metrics and coefficients, and that the choice of the best prediction model is not necessarily consistent with the best results for each metric. These results demonstrate the existence of under-studied error metrics with results that have an impact on the business world and may affect the choice of forecasting models.MBAR 661 Consulting Project; Supervisor: Dr. Amirhossein Zajisales forecastingcomparisonclassical statistics modelmachine learningdeep learninghorizontal errorvertical errorpeak similarit
It's 2 AM... there is nothing to do!
No full textThis zine emerged from an assignment in an English Language Learning and Acquisition class (ELLA 0120-001) with Douglas College instructor Tina Fusco. Students were prompted to create zines inspired by their experiences of coming to Canada and their perceptions of Canadian culture.Not peer reviewedzinesnightlif
Courageous Dialogues: Year Two Resource Guide: Navigating Polarization
No full textRural ResilienceCourageous Dialogue
Controlling surface flux in landfill-well coupled flow in perforated horizontal wells
No full textThroughout the existence of human settlements disposing of waste materials historically caused numerous environmental problems. Sanitary landfills are now known as one of the most efficient ways to treat waste with minimal environmental impact. When operated correctly, the landfill can be regarded as a potential source of renewable energy.
Past research addressed different aspects of sanitary landfill sites. This study focuses on the simulation of a flow of landfill gas through the porous medium of the waste matrix and in a collection well, with a special emphasis on the influence of the well geometry on the surface mass flux. For this purpose a model containing three layers, namely cover, waste, and gravel is constructed. Two fluid flow types govern the coupled system: porous medium flow and unobstructed flow obeying Darcy’s law and Navier-Stokes equations respectively. The COMSOL solver is utilized to perform the numerical simulations. The GNU Octave software is used for postprocessing and visualization of both solutions.
Different well geometries in terms of perforation size and position along the well are evaluated. In the beginning, gravity is excluded in order to focus on the sole impact of well geometry. A two-step assessment is conducted: in the first stage a 1D analytical solution of a simplified problem is utilized to validate the 2D numerical model setting. Then for different well geometry modifications pressure profiles in the well, velocity profiles at the surface and surface mass flux are investigated. Studied modifications and their potential combinations are prioritized based on the observed impact of each modification on the surface mass flux and pressure values throughout the landfill. Prior to stage two, there is a validation process for the utilized computational meshes to guarantee the accuracy of all simulations. In stage two for prioritized modifications and their combinations several sensitivity analyses are conducted on cover permeability, waste permeability, and pump pressure to understand the behavior of the landfill-well system. In the end, the effect of gravity on the system is investigated.
The results suggest that well geometry modification–in terms of changing well perforation size and longitudinal distribution–influences the pressure field in the landfill as well as the surface flux. Changing perforation size and position are the first and second priorities, respectively. Moreover, a synergistic effect can be derived from the combination of these modifications. The surface flux increases with larger perforations or a higher number thereof unless the cover permeability is extremely tight. Well production capability decreases as a result of decreasing the number of perforation sets. In terms of landfill-well system properties, cover permeability and suction strength are the main means of control of landfill pressure and surface flux, while waste permeability is not. The gravity effect is shown to be of considerable importance.landfill gashorizontal wellsurface fluxporous media flows2D simulationCOMSOLfinite element
B.C. CanFIRE: Examining current and future effects of climate and forest changes on fuel management treatments for the wildland urban interface in the South Cariboo, British Columbia
No full textBritish Columbia is facing an increase in the number of large, intense high-severity wildfires in the Wildland Urban Interface. This increase is due to historical suppression efforts, climate change, forest structure alterations, exclusion of burning practices, and mismanagement of the landscape. Predictability of fire growth and behaviour is becoming challenging as these high severity wildfires create many uncertainties with respect to firefighter and public safety. Fire prediction modelers are stepping up to adapt to the growing needs of fire managers and with the pressure of climate change. In conjunction, proactive measures look to increase fuel treatments adjacent to communities to reduce wildfire threat, but implementation is slow due to funding limitations, priority setting, and feasibility uncertainties. In this research, I analyzed a fire effects model (BC CanFIRE) adapted to British Columbia and compared fuel treatment strategies with the goal to provide insight on building resilience in British Columbia’s Wildland Urban Interface. Alongside B.C. CanFIRE, I gathered data from a harvesting prescription, TIPSY, ClimateBC, the B.C. Wildfire Legacy Weather Application, and the Carbon Budget Model to determine varying weather, climate change scenarios, and site-specific details for the South Green Lake research area. Fuel treatments focused on a reduction of coniferous species to <100 stems/ha while retaining the deciduous stems/ha in the Aspen Parklands. The Shaded Fuel Break focused on a 50% and 80% reduction of Douglas-fir, complete removal of other coniferous species, and tested a planting scenario of 196 stems/ha for each Douglas-fir scenario. Results from this research show that the Intensity Class with both planting and harvesting was reduced. There were also slight decreases in final head fire intensities post-harvest, and a reduction in rates of spread with planting but dependent on the percentage of Douglas-fir removed when examining future years and climate change.fuel treatmentfuel managementwildland urban interfaceclimate chang
Intransitive Copy Pronouns, Mental Spaces, and the Access Principle: A Characterization from Cognitive Linguistics
No full textIntransitive Copy Pronouns (ICPs) – a common feature of West African languages – are traditionally described as copies of the subject suffixed to intransitive verbs. There is still little consensus in the literature as to how they work. This thesis describes the “how” using cognitive linguistics, in particular mental space theory (i.e., the brain’s use of conceptual “realities” to help process change) and the Access Principle (i.e., the mechanism used to connect elements in these “realities”). With this description, I counter the theory that ICPs function like cognate objects (Storch, Atindogbé & Blench 2011: 6), and I support and further explain the theory that ICPs encode subject point-of-view (Frajzyngier 2012: 585). I also establish a previously unreported function of navigating disruptions in the cognitive environment, and show how this function accounts for some of the ICP’s seemingly unrelated semantic effects; I also show how it explains variation in ICP use within discourse.Intransitive Copy PronounICPCognitive LinguisticsMental spacesAccess Principl