Charitable according to whom ? The clash between Quebec’s societal values and the law governing the registration of charities

In the course of considering the public’s views on the accommodation of cultural minorities in Quebec, the Bouchard-Taylor Commission has produced a valuable record of the views held by Quebec’s voluntary sector organizations, and the societal values that are important to Quebec. In particular, it has underlined Quebec’s strong commitment to three broad public objects — the advancement of the French language and Quebec culture, the encouragement of interculturalism, and the promotion of secularism — that are not recognized as charitable objects under the common law.The Bouchard-Taylor Commission has therefore provided a timely and relevant backdrop against which to consider the real-life implications of using the common law of charitable trusts to give meaning to the statutory concept of charity (bienfaisance) in Quebec. Based on her observations of the Commission experience, the author suggests that the disjuncture between the law demarcating Quebec’s charitable sector and the social context within which the sector operates has become significant enough to merit a reconsideration of this longstanding approach.La consultation publique tenue par la Commission de consultation sur les pratiques d’accommodement reliées aux différences culturelles au Québec (commission Bouchard-Taylor) a permis de recenser les points de vue de plusieurs organismes bénévoles oeuvrant au Québec, tout en révélant les valeurs sociales les plus importantes partagées par l’ensemble des Québécois. En particulier, cette consultation a mis au jour l’importance accordée à trois grands objets d’intérêt public — la promotion de la langue française et de la culture québécoise, l’encouragement de l’interculturalisme et l’affirmation de la laïcité — qui ne sont pas reconnus comme des objets charitables selon la common law.La commission Bouchard-Taylor intervient à point nommé et fournit les données contextuelles pertinentes à partir desquelles il est possible de réfléchir aux enjeux réels pour le droit québécois de se référer à la common law des fiducies charitables afin de donner un sens à la notion d’organisme de bienfaisance au sens de la Loi sur les impôts. À partir de son observation des travaux de la commission Bouchard-Taylor, l’auteure suggère que la rupture est si importante entre le droit qui délimite la catégorie des organismes de bienfaisance et le contexte social au sein duquel se trouvent ces organismes qu’il conviendrait de reconsidérer l’approche actuelle, maintenant fort ancienne

Chemoprevention of breast cancer for women at hgh risk

Breast cancer remains the second most common cause of cancer death in the United States. Several studies have identified cohorts of women at higher than average risk to develop this disease. These are women who are exposed to high levels of endogenous or exogenous estrogens, those with a family history of breast cancer, and those who harbor benign breast disease or genetic mutations that predispose to breast cancer. In this population group, adapting a chemoprevention strategy to decrease the risk of developing overt disease is a strong consideration. To this end, tamoxifen is the most accepted agent to date. This article will describe high risk categories that predict future development of invasive breast cancer, will summarize the current available data to support the use of tamoxifen for chemoprevention, and will further discuss adverse effects of tamoxifen as well as measures to anticipate and monitor for possible adverse outcomes

Building Ethnically Diverse Digital Collections

Building ethnically diverse collections has always been challenging -- either because minority communities do not see traditional institutions as keepers of their histories or librarians/archivists are not embedded sufficiently in the communities to recognize the value of their materials. And lastly, when communities do donate physical materials, processing and enabling access to these collections can often be slow, due to a myriad of reasons. The perception of a lack of public interest may lead to low processing priority, which only increases the potential for loss. Minority communities\u27 motivation may be negatively impacted, furthering mistrust of traditional institutions and harming any potential momentum in acquiring materials. Open access platforms provide libraries and librarians with new opportunities to develop ethnically diverse collections without donors having to donate and gift items. It also allows the nonspecial collection library from needing the required archival space and requirements to properly house physical materials. At the Cultural Heritage Center at San Jose State University (SJSU), we have been digitizing community and university materials from our race/ethnic communities. SJSU faculty, students, and alumni have been pleased with the discoveries of these collections, which include graduation programs and student publications. Most libraries have access to the common hardware and software that can offer a more inclusive perspective than the traditional Special Collections archives. We will demonstrate how a team of individuals can make libraries\u27 digital collections more inclusive and ethnically rich and diverse

Flights and Perchings of the BrainMind: A Temporospatial Approach to Psychotherapy

This article introduces a process-oriented approach for improving present moment conceptualization in psychotherapy that is in alignment with neuroscience: the Temporospatial movements of mind (TSMM) model. We elaborate on seven temporal movements that describe the moment-to-moment morphogenesis of emotional feelings and thoughts from inception to maturity. Temporal refers to the passage of time through which feelings and thoughts develop, and electromagnetic activity, that among other responsibilities, bind information across time. Spatial dynamics extend from an undifferentiated to three dimensional experiences of emotional and cognitive processes. Neurophysiologically, spatial refers to structures within the brain and their varying interactions with one another. This article culminates in the development of an atheoretical temporospatial grid that may help clinicians conceptualize where patients are in their cognitive and emotional development to further guide technique

iCartiGD: the Integrated Cartilage Gene Database

BACKGROUND: Diseases of cartilage, such as arthritis and degenerative disc disease, affect the majority of the general population, particularly with ageing. Discovery and understanding of the genes and pathways involved in cartilage biology will greatly assist research on the development, degeneration and disorders of cartilage. DESCRIPTION: We have established the Integrated Cartilage Gene Database (iCartiGD) of genes that are known, based on results from high throughput experiments, to be expressed in cartilage. Information about these genes is extracted automatically from public databases and presented as a single page report via a web-browser. A variety of flexible search options are provided and the chromosomal distribution of cartilage associated genes can be presented. CONCLUSION: iCartiGD provides a comprehensive source of information on genes known to be expressed in cartilage. It will remain current due to its automatic update capability and provide researchers with an easily accessible resource for studies involving cartilage. Genetic studies of the development and disorders of cartilage will benefit from this database

Large scale real-time PCR validation on gene expression measurements from two commercial long-oligonucleotide microarrays

BACKGROUND: DNA microarrays are rapidly becoming a fundamental tool in discovery-based genomic and biomedical research. However, the reliability of the microarray results is being challenged due to the existence of different technologies and non-standard methods of data analysis and interpretation. In the absence of a "gold standard"/"reference method" for the gene expression measurements, studies evaluating and comparing the performance of various microarray platforms have often yielded subjective and conflicting conclusions. To address this issue we have conducted a large scale TaqMan(® )Gene Expression Assay based real-time PCR experiment and used this data set as the reference to evaluate the performance of two representative commercial microarray platforms. RESULTS: In this study, we analyzed the gene expression profiles of three human tissues: brain, lung, liver and one universal human reference sample (UHR) using two representative commercial long-oligonucleotide microarray platforms: (1) Applied Biosystems Human Genome Survey Microarrays (based on single-color detection); (2) Agilent Whole Human Genome Oligo Microarrays (based on two-color detection). 1,375 genes represented by both microarray platforms and spanning a wide dynamic range in gene expression levels, were selected for TaqMan(® )Gene Expression Assay based real-time PCR validation. For each platform, four technical replicates were performed on the same total RNA samples according to each manufacturer's standard protocols. For Agilent arrays, comparative hybridization was performed using incorporation of Cy5 for brain/lung/liver RNA and Cy3 for UHR RNA (common reference). Using the TaqMan(® )Gene Expression Assay based real-time PCR data set as the reference set, the performance of the two microarray platforms was evaluated focusing on the following criteria: (1) Sensitivity and accuracy in detection of expression; (2) Fold change correlation with real-time PCR data in pair-wise tissues as well as in gene expression profiles determined across all tissues; (3) Sensitivity and accuracy in detection of differential expression. CONCLUSION: Our study provides one of the largest "reference" data set of gene expression measurements using TaqMan(® )Gene Expression Assay based real-time PCR technology. This data set allowed us to use an alternative gene expression technology to evaluate the performance of different microarray platforms. We conclude that microarrays are indeed invaluable discovery tools with acceptable reliability for genome-wide gene expression screening, though validation of putative changes in gene expression remains advisable. Our study also characterizes the limitations of microarrays; understanding these limitations will enable researchers to more effectively evaluate microarray results in a more cautious and appropriate manner

A Riemann solver at a junction compatible with a homogenization limit

We consider a junction regulated by a traffic lights, with n incoming roads and only one outgoing road. On each road the Phase Transition traffic model, proposed in [6], describes the evolution of car traffic. Such model is an extension of the classic Lighthill-Whitham-Richards one, obtained by assuming that different drivers may have different maximal speed. By sending to infinity the number of cycles of the traffic lights, we obtain a justification of the Riemann solver introduced in [9] and in particular of the rule for determining the maximal speed in the outgoing road.Comment: 19 page

Tracking Cyber Adversaries with Adaptive Indicators of Compromise

A forensics investigation after a breach often uncovers network and host indicators of compromise (IOCs) that can be deployed to sensors to allow early detection of the adversary in the future. Over time, the adversary will change tactics, techniques, and procedures (TTPs), which will also change the data generated. If the IOCs are not kept up-to-date with the adversary's new TTPs, the adversary will no longer be detected once all of the IOCs become invalid. Tracking the Known (TTK) is the problem of keeping IOCs, in this case regular expressions (regexes), up-to-date with a dynamic adversary. Our framework solves the TTK problem in an automated, cyclic fashion to bracket a previously discovered adversary. This tracking is accomplished through a data-driven approach of self-adapting a given model based on its own detection capabilities. In our initial experiments, we found that the true positive rate (TPR) of the adaptive solution degrades much less significantly over time than the naive solution, suggesting that self-updating the model allows the continued detection of positives (i.e., adversaries). The cost for this performance is in the false positive rate (FPR), which increases over time for the adaptive solution, but remains constant for the naive solution. However, the difference in overall detection performance, as measured by the area under the curve (AUC), between the two methods is negligible. This result suggests that self-updating the model over time should be done in practice to continue to detect known, evolving adversaries.Comment: This was presented at the 4th Annual Conf. on Computational Science & Computational Intelligence (CSCI'17) held Dec 14-16, 2017 in Las Vegas, Nevada, US

Closing the gap on causal processes of infection risk from cross-sectional data:structural equation models to understand infection and co-infection

BACKGROUND: Epidemiological studies of disease exposure risk are frequently based on observational, cross-sectional data, and use statistical approaches as crucial tools for formalising causal processes and making predictions of exposure risks. However, an acknowledged limitation of traditional models is that the inferred relationships are correlational, cannot easily distinguish direct from indirect determinants of disease risk, and are often considerable simplifications of complex interrelationships. This may be particularly important when attempting to infer causality in patterns of co-infection through pathogen-facilitation. METHODS: We describe analyses of cross-sectional data using structural equation models (SEMs), a contemporary advancement on traditional regression approaches, based on our study system of feline gammaherpesvirus (FcaGHV1) in domestic cats. RESULTS: SEMs strongly supported a latent (host phenotype) variable associated with FcaGHV1 exposure and co-infection risk, suggesting these individuals are simply more likely to become infected with multiple pathogens. However, indications of pathogen-covariance (potential facilitation) were also variably detected: potentially among FcaGHV1, Bartonella spp and Mycoplasma spp. CONCLUSIONS: Our models suggest multiple exposures are primarily driven by host phenotypic traits, such as aggressive male phenotypes, and secondarily by pathogen-pathogen interactions. The results of this study demonstrate the application of SEMs to understanding epidemiological processes using observational data, and could be used more widely as a complementary tool to understand complex cross-sectional information in a wide variety of disciplines