Leveraging Crowdsourcing Data For Deep Active Learning - An Application: Learning Intents in Alexa

This paper presents a generic Bayesian framework that enables any deep learning model to actively learn from targeted crowds. Our framework inherits from recent advances in Bayesian deep learning, and extends existing work by considering the targeted crowdsourcing approach, where multiple annotators with unknown expertise contribute an uncontrolled amount (often limited) of annotations. Our framework leverages the low-rank structure in annotations to learn individual annotator expertise, which then helps to infer the true labels from noisy and sparse annotations. It provides a unified Bayesian model to simultaneously infer the true labels and train the deep learning model in order to reach an optimal learning efficacy. Finally, our framework exploits the uncertainty of the deep learning model during prediction as well as the annotators' estimated expertise to minimize the number of required annotations and annotators for optimally training the deep learning model. We evaluate the effectiveness of our framework for intent classification in Alexa (Amazon's personal assistant), using both synthetic and real-world datasets. Experiments show that our framework can accurately learn annotator expertise, infer true labels, and effectively reduce the amount of annotations in model training as compared to state-of-the-art approaches. We further discuss the potential of our proposed framework in bridging machine learning and crowdsourcing towards improved human-in-the-loop systems

Eyewitness to History in Devolution of Democracy and Constitutional Rights Following 9/11

Many researchers and political experts have commented on the disenfranchisement of the citizenry caused by irresponsible use of power by the government that potentially violates the 4th Amendment rights of millions of people through secret mass surveillance programs. Disclosures of this abuse of power are presumably protected by the 1st Amendment, though when constitutional protections are not followed by the government, the result can be prosecution and imprisonment of whistleblowers. Using a critical autoethnographic approach, the purpose of this study was to examine the devolution of democratic governance and constitutional rights in the United States since 9/11. Using the phenomena of my signature indictment (the first whistleblower since Daniel Ellsberg was charged under the Espionage Act) and prosecution by the U.S. government, data were collected through interviews with experts associated with this unique circumstance. These data, including my own recollections of the event, were inductively coded and subjected to a thematic analysis procedure. The findings revealed that the use of national security as the primary grounds to suppress democracy and the voices of whistleblowers speaking truth to, and about, power increased authoritarian tendencies in government. These tendencies gave rise to extra-legal autocratic behavior and sovereign state control over the institutions of democratic governance. Positive social change can only take place in a society that has robust governance and social structures that strengthen democracy, human rights, and the rule of law, and do not inhibit or suppress them

Cancer epigenetics in solid organ tumours: A primer for surgical oncologists

Cancer is initiated through both genetic and epigenetic alterations. The end-effect of such changes to the DNA machinery is a set of uncontrolled mechanisms of cell division, invasion and, eventually, metastasis. Epigenetic changes are now increasingly appreciated as an essential driver to the cancer phenotype. The epigenetic regulation of cancer is complex and not yet fully understood, but application of epigenetics to clinical practice and in cancer research has the potential to improve cancer care. Epigenetics changes do not cause changes in the DNA base-pairs (and, hence, does not alter the genetic code per se) but rather occur through methylation of DNA, by histone modifications, and, through changes to chromatin structure to alter genetic expression. Epigenetic regulators are characterized as writers, readers or erasers by their mechanisms of action. The human epigenome is influenced from cradle to grave, with internal and external life-time exposure influencing the epigenetic marks that may act as modifiers or drivers of carcinogenesis. Preventive and public health strategies may follow from better understanding of the life-time influence of the epigenome. Epigenetics may be used to define risk, to investigate mechanisms of carcinogenesis, to identify biomarkers, and to identify novel therapeutic options. Epigenetic alterations are found across many solid cancers and are increasingly making clinical impact to cancer management. Novel epigenetic drugs may be used for a more tailored and specific response to treatment of cancers. We present a primer on epigenetics for surgical oncologists with examples from colorectal cancer, breast cancer, pancreatic cancer and hepatocellular carcinoma.publishedVersio

Friendship Village : Exploring the Critical Economic Development and Urban Design Link for Sustainable Development

Presented on December 3, 2008 from 6:30 to 8:30 pm in the Center for Quality Growth and Regional Development 2nd floor classroom.Full report: Friendship Village Exploring the Critical Economic Development and Urban Design Link for Sustainable Development, January 2009Runtime: 77:11 minutes (Presentation)Runtime: 23:27 minutes (Q & A)The Friendship Village group had the charge of advising a large-scale land developer on directions for promoting sustainability in the plans for a 210 acre multi-use project in south Fulton County, Georgia. Their work included site design recommendations modeled after traditional town centers in ten case studies but also included innovative open space and stormwater management proposals and ideas about educational and health care facilities. The diverse professional audience expressed admiration and the developer’s lead representative indicated that results exceeded her expectations.Faculty Advisors: Nancey Green Leigh, Professor of City and Regional Planning ; Richard Dagenhart, Associate Professor of Architecture ; John Skach, Adjunct Professor; Senior Associate, Urban Collag

Allele-specific expression and eQTL analysis in mouse adipose tissue.

BackgroundThe simplest definition of cis-eQTLs versus trans, refers to genetic variants that affect expression in an allele specific manner, with implications on underlying mechanism. Yet, due to technical limitations of expression microarrays, the vast majority of eQTL studies performed in the last decade used a genomic distance based definition as a surrogate for cis, therefore exploring local rather than cis-eQTLs.ResultsIn this study we use RNAseq to explore allele specific expression (ASE) in adipose tissue of male and female F1 mice, produced from reciprocal crosses of C57BL/6J and DBA/2J strains. Comparison of the identified cis-eQTLs, to local-eQTLs, that were obtained from adipose tissue expression in two previous population based studies in our laboratory, yields poor overlap between the two mapping approaches, while both local-eQTL studies show highly concordant results. Specifically, local-eQTL studies show ~60% overlap between themselves, while only 15-20% of local-eQTLs are identified as cis by ASE, and less than 50% of ASE genes are recovered in local-eQTL studies. Utilizing recently published ENCODE data, we also find that ASE genes show significant bias for SNPs prevalence in DNase I hypersensitive sites that is ASE direction specific.ConclusionsWe suggest a new approach to analysis of allele specific expression that is more sensitive and accurate than the commonly used fisher or chi-square statistics. Our analysis indicates that technical differences between the cis and local-eQTL approaches, such as differences in genomic background or sex specificity, account for relatively small fraction of the discrepancy. Therefore, we suggest that the differences between two eQTL mapping approaches may facilitate sorting of SNP-eQTL interactions into true cis and trans, and that a considerable portion of local-eQTL may actually represent trans interactions

Armodafinil in the treatment of sleep/wake disorders

Excessive sleepiness (ES) is a major but underestimated public health concern associated with significant impairments in alertness/wakefulness and significant morbidity. The term ES has been used in the sleep medicine literature for years, but due to its nonspecific symptoms (ie tiredness or fatigue), it frequently goes unrecognized or is misdiagnosed in primary care. In some cases ES arises due to poor sleep habits or self-imposed sleep deprivation; however, ES is also a key component of a number of sleep/wake disorders and multiple medical and psychiatric disorders. Identification and treatment of ES is critical to improve the quality of life and well-being of patients and for the safety of the wider community. The inability of patients to recognize the nature, extent, and symptomatic profile of sleep/wake disorders requires vigilance on the part of healthcare professionals. Interventions to address ES and its associated impairments, treatment of the underlying sleep/wake disorder, and follow-up are a priority given the potential for serious consequences if left untreated. Wakefulness-promoting agents are available that treat ES associated with sleep/wake disorders. This review examines current approaches for managing this debilitating and potentially life-threatening condition, focusing on the place of armodafinil as a wakefulness-promoting agent