434 research outputs found

    History of Human Rights in Canada

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    Sheridan College, like all post-secondary institutions in Canada, is bound by the obligations set out in federal and provincial human rights legislation. Students and employees also have rights and responsibilities under human rights law. This legal framework informs the EDI work that Sheridan is doing including training, education, research, consultations, dispute resolution and compliance. Yet, human rights protections, as we know them, are a relatively recent development in Canada’s history. It wasn’t until after World War II that laws protecting people from human rights violations really gained traction in this country. Please join us for an informative session on the history of human rights in Canada. Learn about the important role these protections play in creating a just and equal society for everyone

    Multi-process modelling approach to complex organisation design

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    Present day markets require manufacturing enterprises (MEs) to be designed and run in a flexibly structured yet optimised way. However, contemporary approaches to ME engineering do not enable this requirement to capture ME attributes such that suitable processes, resource systems and support services can be readily implemented and changed. This study has developed and prototyped a model-driven environment for the design, optimisation and control of MEs with an embedded capability to handle various types of change. This so called Enriched-Process Modelling (E-MPM) Environment can support the engineering of strategic, tactical and operational processes and comprises two parts: (1) an E-MPM Method that informs, structures, and guides modelling activities required at different stages of ME systems design; and (2) an E-MPM Modelling Framework that specifies interconnections between modelling concepts necessary for the design and run time operation of ME systems. [Continues.

    Regenerative endodontics: chart review of treated cases

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    Immature permanent teeth may develop pulpal pathosis due to caries or trauma and preserving these young teeth is quintessential. The general consensus for clinical treatment of immature teeth with non-vital pulps is Apexification. However, this treatment modality does not result in further root development and increase incidence of root fractures in teeth after apexification. Regenerative Endodontics has been defined as biologically based procedures designed to replace damaged structures such as dentin, root structures, and cells of the pulp-dentin complex. The advantages of pulp revascularization lie in the possibility of further root development and reinforcement of dentinal walls by deposition of hard tissue, thus strengthening the root against fracture. This retrospective study evaluated treated cases by regenerative endodontic procedures performed by Endodontists/endodontic residents in the United States/Canada with a minimum of 1-year recall. The participating Endodontists evaluated the regeneration success parameters as defined by the AAE and filled out a Data Collection Form for each patient. 27 of the 28 submitted cases showed absence of clinical symptoms and apical resolution of pathology at the time of one year follow up; 19 cases showed increase in the root width; 15 cases showed increase in the root length; However none of the cases showed any positive response to pulp vitality tests. The results obtained are promising and prove that pulp regeneration/revascularization is indeed a viable treatment option. Further investigation should be considered with a larger sample size for a valid statistical analysis

    A technique for low energy mapping and routing in network-on-chip architectures

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    Identifying predictors for focused CT scanning in the ED

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    Background Appropriate imaging for major trauma patients, in particular deciding between imaging of a single body region or whole body CT (WBCT), is an important aspect of clinical decision making in these patients. This study aimed to identify predictors of injury to a single scan region in major trauma patients. Discussion These findings suggest that patients with examination findings isolated to a single body region may only need isolated imaging to the affected area. These factors, used in conjunction with a clinical decision rule for WBCT may help decide on the appropriate imaging for patient who do not need WBCT imaging

    Survey of Lean Management Practices in Pakistani Industrial Sectors

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    This research was undertaken to study the implementation and adoption of Lean management practices across several industrial sectors in Pakistan. A total of 100 companies were surveyed across five industries. The objective was to determine if there was disparity in the implementation of Lean practices and to provide a yardstick to measure that disparity. Furthermore, this study identified Lean management best practices across several industries in Pakistan, thus providing benchmarks for other industrial sectors. The data collected was analysed using various descriptive statistical methods. The results indicated robust adoption and implementation of Lean practices in Pakistani industry, though there were few areas which still require greater acceptance, and hence implementation rates in these areas are modest

    Effects of environmental factors on the physiology and development of honey bees

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    Environmental aspects have a substantial impact on the physiological and morphological attributes of social bees. Living organisms including plants, animals, and human are much influenced by the environment. Environmental factors including temperature, nutrition, light, beehive conditions and social interactions are compelling agents in alteration of morphology, development, and health of honeybees. Beekeeping may also be at risk due to climate change effect on agriculture, which appears to be a major concern for the sector. Temperature variations impair the honeybee colony's internal functions, including food storage, brood rearing, and social stability. Colony collapse has been caused by nutritional stress brought on by habitat loss, infestation by various pests and diseases, and chemical exposure. The honeybees decline, queens are replaced, and eventually the colony breaks down and dies by the viruses and parasites. Foraging behaviour is influenced by temperature as activity levels drop as the temperature rises. The foraging activity peaked at 20° C and peaked at 43° C. Like humans, nutrition affects the gut microbiome of bees, makes them more susceptible to disease, shortens their life span, and is the primary factor in the collapse of honeybee colonies. Comprehensive investigation on the influence of environmental changes on honeybee condition and protection against hazardous environmental circumstances. It has been shown that since the start of industrialization, a variety of causes threatened honeybees’ lives. The protection of bees and biodiversity is an urgent matter of concern and demands serious efforts from different stake holders to play their legitimate role

    To Perform Thrombolysis or Not: A Case of Acute Pancreatitis Presenting with Chest Pain and Transient Left Bundle Branch Block

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    A suspected case of acute coronary syndrome presented with new-onset left bundle branch and first-degree heart blocks. The decision to thrombolyse was reverted as ECG changes proved to be transient within fifteen minutes of presentation. Later on the patient was diagnosed with acute pancreatitis based on laboratory results of serum amylase, confirmed on radiological investigations

    Dynamic Survival Transformers for Causal Inference with Electronic Health Records

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    In medicine, researchers often seek to infer the effects of a given treatment on patients' outcomes. However, the standard methods for causal survival analysis make simplistic assumptions about the data-generating process and cannot capture complex interactions among patient covariates. We introduce the Dynamic Survival Transformer (DynST), a deep survival model that trains on electronic health records (EHRs). Unlike previous transformers used in survival analysis, DynST can make use of time-varying information to predict evolving survival probabilities. We derive a semi-synthetic EHR dataset from MIMIC-III to show that DynST can accurately estimate the causal effect of a treatment intervention on restricted mean survival time (RMST). We demonstrate that DynST achieves better predictive and causal estimation than two alternative models.Comment: Accepted to the NeurIPS 2022 Workshop on Learning from Time Series for Healt
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