Reality Television Goes Interactive: The Big Brother Television Audience

Reality television was taken to a new realm in the summer of 2000. Television audiences and Internet audiences were married through a voyeuristic, interactive experience. This study attempted to better understand the audience attracted to these interactive, realistic television shows. Utilizing previous studies on audience interactivity, a random telephone survey of Big Brother viewers was administered. Big Brother viewers that browsed the show\u27s website before and after the show were demographically more likely to be younger, more educated, and own computers. Big Brother website visitors were significantly more likely to plan to watch the television show, eliminate distractions to that viewing and be more involved during the television show than non-Internet website users

Extracting Web User Profiles Using a Modified CARD Algorithm

Clustering algorithms are widely used methods for organizing data into useful information. The Competitive Agglomeration for Relational Data (CARD) Algorithm is one such clustering algorithm that is designed to organize user sessions into profiles, where each profile would highlight a particular type of user. The CARD algorithm is a viable candidate for web clustering; however, it does have limitations such as an extended execution time. In addition, the methods that prepare the input data for the CARD algorithm’s use employs concepts which seem to be incomplete. These limitations of the CARD algorithm are explored and modifications are introduced to yield a more practical and efficient algorithm

A Modified Competitive Agglomeration for Relational Data Algorithm

Clustering algorithms are invaluable methods for organizing data into useful information. The CARD Algorithm [11 is one such algorithm that is designed to organize user sessions into profiles, where each profile would highlight a particular type of user. The CARD algorithm is a viable candidate for web clustering. However it does have limitations such as long execution time. In addition, the data preparation for the algorithm\u27s requirements employs concepts that are incomplete. These limitations of the algorithm will be explored and modified to yield a more practical and efficient algorithm

Extensive proteomic screening identifies the obesity-related NYGGF4 protein as a novel LRP1-interactor, showing reduced expression in early Alzheimer's disease

<p>Abstract</p> <p>Background</p> <p>The low-density lipoprotein receptor related protein 1 (LRP1) has been implicated in Alzheimer's disease (AD) but its signalling has not been fully evaluated. There is good evidence that the cytoplasmic domain of LRP1 is involved in protein-protein interactions, important in the cell biology of LRP1.</p> <p>Results</p> <p>We carried out three yeast two-hybrid screens to identify proteins that interact with the cytoplasmic domain of LRP1. The screens included both conventional screens as well as a novel, split-ubiquitin-based screen in which an LRP1 construct was expressed and screened as a transmembrane protein. The split-ubiquitin screen was validated in a screen using full-length amyloid protein precursor (APP), which successfully identified FE65 and FE65L2, as well as novel interactors (Rab3a, Napg, and ubiquitin b). Using both a conventional screen as well as the split-ubiquitin screen, we identified NYGGF4 as a novel LRP1 interactor. The interaction between LRP1 and NYGGF4 was validated using two-hybrid assays, coprecipitation and colocalization in mammalian cells. Mutation analysis demonstrated a specific interaction of NYGGF4 with an NPXY motif that required an intact tyrosine residue. Interestingly, while we confirmed that other LRP1 interactors we identified, including JIP1B and EB-1, were also able to bind to APP, NYGGF4 was unique in that it showed specific binding with LRP1. Expression of NYGGF4 decreased significantly in patients with AD as compared to age-matched controls, and showed decreasing expression with AD disease progression. Examination of Nyggf4 expression in mice with different alleles of the human <it>APOE4 </it>gene showed significant differences in Nyggf4 expression.</p> <p>Conclusions</p> <p>These results implicate NYGGF4 as a novel and specific interactor of LRP1. Decreased expression of LRP1 and NYGGF4 over disease, evident with the presence of even moderate numbers of neuritic plaques, suggests that LRP1-NYGGF4 is a system altered early in disease. Genetic and functional studies have implicated both LRP1 and NYGGF4 in obesity and cardiovascular disease and the physical association of these proteins may reflect a common mechanism. This is particularly interesting in light of the dual role of ApoE in both cardiovascular risk and AD. The results support further studies on the functional relationship between NYGGF4 and LRP1.</p

Sex-based differences in functional brain activity during working memory in survivors of pediatric acute lymphoblastic leukemia

BACKGROUND: Long-term survivors of pediatric acute lymphoblastic leukemia are at elevated risk for neurocognitive deficits and corresponding brain dysfunction. This study examined sex-based differences in functional neuroimaging outcomes in acute lymphoblastic leukemia survivors treated with chemotherapy alone. METHODS: Functional magnetic resonance imaging (fMRI) and neurocognitive testing were obtained in 123 survivors (46% male; median [min-max] age = 14.2 years [8.3-26.5 years]; time since diagnosis = 7.7 years [5.1-12.5 years]) treated on the St. Jude Total XV treatment protocol. Participants performed the n-back working memory task in a 3 T scanner. Functional neuroimaging data were processed (realigned, slice time corrected, normalized, smoothed) and analyzed using statistical parametric mapping with contrasts for 1-back and 2-back conditions, which reflect varying degrees of working memory and task load. Group-level fMRI contrasts were stratified by sex and adjusted for age and methotrexate exposure. Statistical tests were 2-sided (P \u3c .05 statistical significance threshold). RESULTS: Relative to males, female survivors exhibited less activation (ie, reduced blood oxygen dependent-level signals) in the right parietal operculum, supramarginal gyrus and inferior occipital gyrus, and bilateral superior frontal medial gyrus during increased working memory load (family-wise error-corrected P = .004 to .008, adjusting for age and methotrexate dose). Female survivors were slower to correctly respond to the 2-back condition than males (P \u3c .05), though there were no differences in overall accuracy. Performance accuracy was negatively correlated with fMRI activity in female survivors (Pearson\u27s r = -0.39 to -0.29, P = .001 to .02), but not in males. CONCLUSIONS: These results suggest the working memory network is more impaired in female survivors than male survivors, which may contribute to ongoing functional deficits

Creating Conversations: An Automated Dialog System

Online news sites often include a comments section where readers are allowed to leave their thoughts. These comments often contain interesting and insightful conversations between readers about the news article. However the richness of these conversations is often lost among other meaningless comments, and moreover all comments are found at the bottom of the web page. In this article, we discuss how our system inserts reader conversations into the news article to create a multimedia presentation called Shout Out. Shout Out features two virtual news anchors: one anchor reads the news and when appropriate the anchor pauses to have a conversation about the news with another anchor. This current iteration of Shout Out combines natural language techniques and reader conversations to create an engaging system

The Teacher Work Sample: An Authentic Assessment

How can universities effectively use data to answer questions about student performance? Western Kentucky University is one of eleven teacher preparation institutions in ten states that participated in the federally funded Renaissance Partnership Project, which implements the Teacher Work Sample (TWS) as an assessment tool focused on improving the quality of their graduates. Across all disciplines, education students construct a unit of study that includes contextual information, pre-assessment rationale for the unit, assessment data,analysis and reflection. The College of Education uses the TWS to evaluate the proficiency of the teacher candidates\u27 abilities to develop learning outcomes, analyze assessment results and reflect on their teaching

When symptoms don’t fit: a case series of conversion disorder in the pediatric otolaryngology practice

Abstract Background Conversion disorder refers to functional bodily impairments that can be precipitated by high stress situations including trauma and surgery. Symptoms of conversion disorder may mimic or complicate otolaryngology diseases in the pediatric population. Case presentation In this report, the authors describe 3 cases of conversion disorder that presented to a pediatric otolaryngology-head and neck surgery practice. This report highlights a unique population of patients who have not previously been investigated. The clinical presentation and management of these cases are discussed in detail. Non-organic otolaryngology symptoms of conversion disorder in the pediatric population are reviewed. In addition, we discuss the challenges faced by clinicians in appropriately identifying and treating these patients and present an approach to management of their care. Conclusion In this report, the authors highlight the importance of considering psychogenic illnesses in patients with atypical clinical presentations of otolaryngology disorders

Automatic Identification of Conceptual Metaphors with Limited Knowledge

Complete natural language understanding requires identify-ing and analyzing the meanings of metaphors, which are ubiquitous in text and speech. Underlying metaphors in lan-guage are conceptual metaphors, partial semantic mappings between disparate conceptual domains. Though some good results have been achieved in identifying linguistic metaphors over the last decade, little work has been done to date on au-tomatically identifying conceptual metaphors. This paper de-scribes research on identifying conceptual metaphors based on corpus data. Our method uses as little background knowl-edge as possible, to ease transfer to new languages and to minimize any bias introduced by the knowledge base con-struction process. The method relies on general heuristics for identifying linguistic metaphors and statistical cluster-ing (guided by Wordnet) to form conceptual metaphor candi-dates. Human experiments show the system effectively finds meaningful conceptual metaphors

The relationship between chronic health conditions and cognitive deficits in children, adolescents, and young adults with down syndrome: A systematic review.

BackgroundIndividuals with Down syndrome are predisposed to a number of chronic health conditions, but the relationship between these conditions and cognitive ability is not clear. The primary objective of this systematic review is to assess this relationship by evaluating studies that measure cognitive performance in the context of Down syndrome-associated chronic health conditions.MethodsA systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines. Studies included in this review (1) included children, adolescent, and young adult participants with Down syndrome and one or more co-occurring health conditions; (2) were quantitative; and (3) reported outcomes related to both chronic health conditions and cognitive performance. A set of predetermined chronic health conditions that are common in Down syndrome (e.g. sleep disorders, congenital heart disease, thyroid disease, seizure disorders, and pulmonary hypertension) were selected based on prevalence rates in Down syndrome.ResultsFifteen studies met inclusion criteria. The majority these of studies assessed cognitive performance in association with sleep disorders (47%) and congenital heart disease (47%). Fewer studies reported on the effect of thyroid disease (7%) and seizure disorders (7%) on cognitive ability. None of the studies reported cognitive outcomes related to pulmonary hypertension. Of the chronic health conditions evaluated, associations between sleep disorders and cognitive dysfunction were most common among individuals with Down syndrome.ConclusionsIndividuals with Down syndrome exhibit deficits in cognitive ability, particularly related to attention, executive function and verbal processing. These deficits may be further exacerbated by the presence of chronic health conditions, particularly sleep disorders. Individuals with Down syndrome and co-occurring sleep disorders may benefit from early interventions to mitigate their risk for adverse cognitive outcomes