38 research outputs found

    Visible light reduces C. elegans longevity.

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    The transparent nematode Caenorhabditis elegans can sense UV and blue-violet light to alter behavior. Because high-dose UV and blue-violet light are not a common feature outside of the laboratory setting, we asked what role, if any, could low-intensity visible light play in C. elegans physiology and longevity. Here, we show that C. elegans lifespan is inversely correlated to the time worms were exposed to visible light. While circadian control, lite-1 and tax-2 do not contribute to the lifespan reduction, we demonstrate that visible light creates photooxidative stress along with a general unfolded-protein response that decreases the lifespan. Finally, we find that long-lived mutants are more resistant to light stress, as well as wild-type worms supplemented pharmacologically with antioxidants. This study reveals that transparent nematodes are sensitive to visible light radiation and highlights the need to standardize methods for controlling the unrecognized biased effect of light during lifespan studies in laboratory conditions

    Secure Full-Duplex Device-to-Device Communication

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    This paper considers full-duplex (FD) device-to-device (D2D) communications in a downlink MISO cellular system in the presence of multiple eavesdroppers. The D2D pair communicate sharing the same frequency band allocated to the cellular users (CUs). Since the D2D users share the same frequency as the CUs, both the base station (BS) and D2D transmissions interfere each other. In addition, due to limited processing capability, D2D users are susceptible to external attacks. Our aim is to design optimal beamforming and power control mechanism to guarantee secure communication while delivering the required quality-of-service (QoS) for the D2D link. In order to improve security, artificial noise (AN) is transmitted by the BS. We design robust beamforming for secure message as well as the AN in the worst-case sense for minimizing total transmit power with imperfect channel state information (CSI) of all links available at the BS. The problem is strictly non-convex with infinitely many constraints. By discovering the hidden convexity of the problem, we derive a rank-one optimal solution for the power minimization problem.Comment: Accepted in IEEE GLOBECOM 2017, Singapore, 4-8 Dec. 201

    Rotational Subgroup Voting and Pose Clustering for Robust 3D Object Recognition

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    It is possible to associate a highly constrained subset of relative 6 DoF poses between two 3D shapes, as long as the local surface orientation, the normal vector, is available at every surface point. Local shape features can be used to find putative point correspondences between the models due to their ability to handle noisy and incomplete data. However, this correspondence set is usually contaminated by outliers in practical scenarios, which has led to many past contributions based on robust detectors such as the Hough transform or RANSAC. The key insight of our work is that a single correspondence between oriented points on the two models is constrained to cast votes in a 1 DoF rotational subgroup of the full group of poses, SE(3). Kernel density estimation allows combining the set of votes efficiently to determine a full 6 DoF candidate pose between the models. This modal pose with the highest density is stable under challenging conditions, such as noise, clutter, and occlusions, and provides the output estimate of our method. We first analyze the robustness of our method in relation to noise and show that it handles high outlier rates much better than RANSAC for the task of 6 DoF pose estimation. We then apply our method to four state of the art data sets for 3D object recognition that contain occluded and cluttered scenes. Our method achieves perfect recall on two LIDAR data sets and outperforms competing methods on two RGB-D data sets, thus setting a new standard for general 3D object recognition using point cloud data.Comment: Accepted for International Conference on Computer Vision (ICCV), 201

    Multiple aspects of amyloid dynamics in vivo integrate to establish prion variant dominance in yeast

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    Prion variants are self-perpetuating conformers of a single protein that assemble into amyloid fibers and confer unique phenotypic states. Multiple prion variants can arise, particularly in response to changing environments, and interact within an organism. These interactions are often competitive, with one variant establishing phenotypic dominance over the others. This dominance has been linked to the competition for non-prion state protein, which must be converted to the prion state via a nucleated polymerization mechanism. However, the intrinsic rates of conversion, determined by the conformation of the variant, cannot explain prion variant dominance, suggesting a more complex interaction. Using the yeast prion system [PSI+], we have determined the mechanism of dominance of the [PSI+]Strong variant over the [PSI+]Weak variant in vivo. When mixed by mating, phenotypic dominance is established in zygotes, but the two variants persist and co-exist in the lineage descended from this cell. [PSI+]Strong propagons, the heritable unit, are amplified at the expense of [PSI+]Weak propagons, through the efficient conversion of soluble Sup35 protein, as revealed by fluorescence photobleaching experiments employing variant-specific mutants of Sup35. This competition, however, is highly sensitive to the fragmentation of [PSI+]Strong amyloid fibers, with even transient inhibition of the fragmentation catalyst Hsp104 promoting amplification of [PSI+]Weak propagons. Reducing the number of [PSI+]Strong propagons prior to mating, similarly promotes [PSI+]Weak amplification and conversion of soluble Sup35, indicating that template number and conversion efficiency combine to determine dominance. Thus, prion variant dominance is not an absolute hierarchy but rather an outcome arising from the dynamic interplay between unique protein conformations and their interactions with distinct cellular proteostatic niches

    Stoichiometric incorporation of base substitutions at specific sites in supercoiled DNA and supercoiled recombination intermediates

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    Supercoiled DNA is the relevant substrate for a large number of DNA transactions and has additionally been found to be a favorable form for delivering DNA and protein-DNA complexes to cells. We report here a facile method for stoichiometrically incorporating several different modifications at multiple, specific, and widely spaced sites in supercoiled DNA. The method is based upon generating an appropriately gapped circular DNA, starting from single-strand circular DNA from two phagemids with oppositely oriented origins of replication. The gapped circular DNA is annealed with labeled and unlabeled synthetic oligonucleotides to make a multiply nicked circle, which is covalently sealed and supercoiled. The method is efficient, robust and can be readily scaled up to produce large quantities of labeled supercoiled DNA for biochemical and structural studies. We have applied this method to generate dye-labeled supercoiled DNA with heteroduplex bubbles for a Fƶrster resonance energy transfer (FRET) analysis of supercoiled Holliday junction intermediates in the Ī» integrative recombination reaction. We found that a higher-order structure revealed by FRET in the supercoiled Holliday junction intermediate is preserved in the linear recombination product. We suggest that in addition to studies on recombination complexes, these methods will be generally useful in other reactions and systems involving supercoiled DNA

    Level of agreement between frequently used cardiovascular risk calculators in people living with HIV

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    Objectives The aim of the study was to describe agreement between the QRISK2, Framingham and Data Collection on Adverse Events of Antiā€HIV Drugs (D:A:D) cardiovascular disease (CVD) risk calculators in a large UK study of people living with HIV (PLWH). Methods PLWH enrolled in the Pharmacokinetic and Clinical Observations in People over Fifty (POPPY) study without a prior CVD event were included in this study. QRISK2, Framingham CVD and the full and reduced D:A:D CVD scores were calculated; participants were stratified into ā€˜lowā€™ ( 20%) categories for each. Agreement between scores was assessed using weighted kappas and Blandā€“Altman plots. Results The 730 included participants were predominantly male (636; 87.1%) and of white ethnicity (645; 88.5%), with a median age of 53 [interquartile range (IQR) 49ā€“59] years. The median calculated 10ā€year CVD risk was 11.9% (IQR 6.8ā€“18.4%), 8.9% (IQR 4.6ā€“15.0%), 8.5% (IQR 4.8ā€“14.6%) and 6.9% (IQR 4.1ā€“11.1%) when using the Framingham, QRISK2, and full and reduced D:A:D scores, respectively. Agreement between the different scores was generally moderate, with the highest level of agreement being between the Framingham and QRISK2 scores (weighted kappa = 0.65) but with most other kappa coefficients in the 0.50ā€“0.60 range. Conclusions Estimates of predicted 10ā€year CVD risk obtained with commonly used CVD risk prediction tools demonstrate, in general, only moderate agreement among PLWH in the UK. While further validation with clinical endpoints is required, our findings suggest that care should be taken when interpreting any score alone

    Depression, lifestyle factors and cognitive function in people living with HIV and comparable HIV-negative controls

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    We investigated whether differences in cognitive performance between people living with HIV (PLWH) and comparable HIV-negative people were mediated or moderated by depressive symptoms and lifestyle factors. METHODS: A cross-sectional study of 637 'older' PLWH aged ā‰„ 50 years, 340 'younger' PLWH aged < 50 years and 276 demographically matched HIV-negative controls aged ā‰„ 50 years enrolled in the Pharmacokinetic and Clinical Observations in People over Fifty (POPPY) study was performed. Cognitive function was assessed using a computerized battery (CogState). Scores were standardized into Z-scores [mean = 0; standard deviation (SD) = 1] and averaged to obtain a global Z-score. Depressive symptoms were evaluated via the Patient Health Questionnaire (PHQ-9). Differences between the three groups and the effects of depression, sociodemographic factors and lifestyle factors on cognitive performance were evaluated using median regression. All analyses accounted for age, gender, ethnicity and level of education. RESULTS: After adjustment for sociodemographic factors, older and younger PLWH had poorer overall cognitive scores than older HIV-negative controls (P < 0.001 and P = 0.006, respectively). Moderate or severe depressive symptoms were more prevalent in both older (27%; P < 0.001) and younger (21%; P < 0.001) PLWH compared with controls (8%). Depressive symptoms (P < 0.001) and use of hashish (P = 0.01) were associated with lower cognitive function; alcohol consumption (P = 0.02) was associated with better cognitive scores. After further adjustment for these factors, the difference between older PLWH and HIV-negative controls was no longer significant (P = 0.08), while that between younger PLWH and older HIV-negative controls remained significant (P = 0.01). CONCLUSIONS: Poorer cognitive performances in PLWH compared with HIV-negative individuals were, in part, mediated by the greater prevalence of depressive symptoms and recreational drug use reported by PLWH

    Discovery of 95 PTSD loci provides insight into genetic architecture and neurobiology of trauma and stress-related disorders

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    Posttraumatic stress disorder (PTSD) genetics are characterized by lower discoverability than most other psychiatric disorders. The contribution to biological understanding from previous genetic studies has thus been limited. We performed a multi-ancestry meta-analysis of genome-wide association studies across 1,222,882 individuals of European ancestry (137,136 cases) and 58,051 admixed individuals with African and Native American ancestry (13,624 cases). We identified 95 genome-wide significant loci (80 novel). Convergent multi-omic approaches identified 43 potential causal genes, broadly classified as neurotransmitter and ion channel synaptic modulators (e.g., GRIA1, GRM8, CACNA1E ), developmental, axon guidance, and transcription factors (e.g., FOXP2, EFNA5, DCC ), synaptic structure and function genes (e.g., PCLO, NCAM1, PDE4B ), and endocrine or immune regulators (e.g., ESR1, TRAF3, TANK ). Additional top genes influence stress, immune, fear, and threat-related processes, previously hypothesized to underlie PTSD neurobiology. These findings strengthen our understanding of neurobiological systems relevant to PTSD pathophysiology, while also opening new areas for investigation

    The role of online authenticity in relieving intergroup tensions

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    The use of digital channels is growing in every aspect of personal communication. Past studies have argued that the perception of authenticity in online communication is critical to developing affection in interpersonal relationships, despite diminished non-verbal communication in digital mediums. While pioneering research has established theoretical frameworks of authenticity in computer-mediated communication, the relationship between authenticity and intergroup contact have not been tested empirically. By building upon Lee Eun-Juā€™s (2020) Authenticity Model, this study examines how message authenticity, specifically, may affect perceptions towards the LGBTQ outgroup through an online experiment. A 2 (authentic message vs. inauthentic message) Ɨ 2 (ingroup vs. outgroup authored) design was used (n = 220), exposing participants to one of the four treatment conditions. Results of the study indicated that there were no significant differences in the participantsā€™ attitudes nor behavioural intentions toward the outgroup, regardless of which treatment group they were assigned to. As such, the findings indicate that there is no significant relationship between authenticity and change in perception. Nonetheless, this study is not conclusive and more research is needed to understand authenticity at the empirical level.Bachelor of Communication Studie

    Effects of Divided Attention on Working and Long-Term Memory

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    An article that appeared in JASS, issue 2018In todayā€™s classroom, students commonly watch videos, play games, or browse the internet while completing homework or participating in class. With the increasing use of technology in all aspects of our life, research into the effects of multitasking has increased in relevance. We aimed to evaluate whether distractions would impact working and long-term memory and to what extent. We hypothesized that visual and cognitive distraction would decrease the encoding of working memory and subsequent consolidation of long term memory directly and indirectly via inducing stress. Participants were assigned to one of two groups: a control group with no distractions or a treatment group exposed to a distraction. Both groups listened to a list of selected phrases and took a quiz at the end of the recording to evaluate their recognition of those phrases. This was done to assess the effects of distractions on working memory. Participants came back a week after their initial testing to assess their long-term memory with a similar quiz. Heart rate, respiration rate, and electrodermal activity were measured to evaluate stress. Results showed a difference in the week one quiz between the control and treatment group (p-value of 0.0002) and between quiz two of the control vs. treatment (p-value of 0.0002). These results suggest that students who use technology while studying or in class do significantly worse on multiple choice quizzes. All other physiological measures comparing treatment vs. control were not significant (p-value of 0.50, p-value of 0.71, and p-value of 0.36). Future studies can be enhanced by increasing the number of participants and investigating the effects of other sensory distractions on working and long-term memory
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