2,293 research outputs found

    A New Genetic Mechanism for Autism

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    Generations of Kentucky: An Exhibition of Folk Art with Photographs by Guy Mendes

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    1996 Kentucky Folk Art Center exhibition catalog of Kentucky folk art and photographs by Guy Mendes.https://scholarworks.moreheadstate.edu/kfac_exhibition_catalogs/1015/thumbnail.jp

    Differential expression of cyclin-dependent kinases in the adult human retina in relation to CDK inhibitor retinotoxicity

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    Cyclin-dependent kinases (CDKs) are a family of kinases associated predominantly with cell cycle control, making CDK inhibitors interesting candidates for anti-cancer therapeutics. However, retinal toxicity (loss of photoreceptors) has been associated with CDK inhibitors, including the pan-CDK inhibitor AG-012896. The purpose of this research was to use a novel planar sectioning technique to determine CDK expression profiles in the ex vivo human retina with the aim of identifying isoforms responsible for CDK retinotoxicity. Four CDK isoforms (CDK11, 16, 17 and 18) were selected as a result of IC50 data comparing neurotoxic (AG-012986 and NVP-1) and non-neurotoxic (dinaciclib and NVP-2) CDK inhibitors, with IC50s at CDK11 showing a clear difference between the neurotoxic and non-neurotoxic drugs. CDK11 was maximally expressed in the photoreceptor layer, whereas CDK16, 17 and 18 showed maximal expression in the inner nuclear layer. CDK5 (an isoform associated with retinal homeostasis) was maximally expressed in the retinal ganglion cell layer. Apart from CDK18, each isoform showed expression in the photoreceptor layer. The human Müller cell line MIO-M1 expressed CDK5, 11, 16 and 17 and AG-01298 (0.02–60 µM) caused a dose-dependent increase in MIO-M1 cell death. In conclusion, CDK11 appears the most likely candidate for mediation of photoreceptor toxicity. RNA profiling can be used to determine the distribution of genes of interest in relation to retinal toxicity in the human retina

    Maintenance of Synaptic Stability Requires Calcium-Independent Phospholipase A2 Activity

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    Phospholipases A2 (PLA2s) represent one of the largest groups of lipid-modifying enzymes. Over the years, significant advances have been made in understanding their potential physiological and pathological functions. Depending on their calcium requirement for activation, PLA2s are classified into calcium dependent and independent. This paper mainly focuses on brain calcium-independent PLA2 (iPLA2) and on the mechanisms by which they influence neuronal function and regulate synaptic plasticity. Particular attention will be given to the iPLA2γ isoform and its role in the regulation of synaptic glutamate receptors. In particular, the paper discusses the possibility that brain iPLA2γ deficiencies could destabilise normal synaptic operation and might contribute to the aetiology of some brain disorders. In this line, the paper presents new data indicating that iPLA2γ deficiencies accentuate AMPA receptor destabilization and tau phosphorylation, which suggests that this iPLA2 isoform should be considered as a potential target for the treatment of Tau-related disorders

    Detection and fine-grained classification of cyberbullying events

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    In the current era of online interactions, both positive and negative experiences are abundant on the Web. As in real life, negative experiences can have a serious impact on youngsters. Recent studies have reported cybervictimization rates among teenagers that vary between 20% and 40%. In this paper, we focus on cyberbullying as a particular form of cybervictimization and explore its automatic detection and fine-grained classification. Data containing cyberbullying was collected from the social networking site Ask.fm. We developed and applied a new scheme for cyberbullying annotation, which describes the presence and severity of cyberbullying, a post author's role (harasser, victim or bystander) and a number of fine-grained categories related to cyberbullying, such as insults and threats. We present experimental results on the automatic detection of cyberbullying and explore the feasibility of detecting the more fine-grained cyberbullying categories in online posts. For the first task, an F-score of 55.39% is obtained. We observe that the detection of the fine-grained categories (e.g. threats) is more challenging, presumably due to data sparsity, and because they are often expressed in a subtle and implicit way

    Cognitive bias modification of expectancies (CBM-E) : effects on interpretation bias and autobiographical memory, and relations with social and attachment anxiety

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    Social anxiety is characterised by a bias to recall negative social autobiographical memories as well as anxious expectations about future social interactions. Neuroscientific research shows that a shared neural network underlies both temporal directions of autobiographical recall and future self-projections. Inspired by these findings, the current study tested the effectiveness of a Cognitive Bias Modification training to induce expectancies about the outcome of possible future social interactions (CBM-E). Its effects on interpretation bias, autobiographical recall and personal future projections were tested additionally. Participants read short social scenarios that could possibly happen to them in the future. Each scenario ended in word-fragment which, when completed, disambiguated the meaning of the scenario in either an optimistic or pessimistic way contingent on experimental condition. The CBM-E training was tested in 120 student participants and appeared effective in changing expectancies. The effect generalized to social interpretation bias (scrambled sentences). No direct effects of the training were found on autobiographical recall or future projections. However, participants trained to have pessimistic expectancies who had higher attachment anxiety showed a less positive interpretation bias related to the future. Furthermore, participants with high social anxiety reported less positive personal future projections when trained to have optimistic social expectancies
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