Miracle-dz/UniFAR-FTUs huggingface dataset:
A Qualitative Analysis of Disclosing Sexual Victimization by #NotOkay During the 2016 Presidential Election

Abstract This study sought to characterize disclosures of sexual victimization using the Twitter hashtag #NotOkay, which emerged before the 2016 presidential election. A random sample of 777 original English language tweets that contained the hashtag “#NotOkay” were garnered through NCapture software over a 5-day period. Content analysis was conducted using NVivo software. Only tweets that reflected personal disclosures of sexual victimization were included in the analysis. Disclosures included seven major themes pertaining to the characteristics of the assault(s), including (1) a description of the perpetrator; (2) type of assault; (3) age at the time of victimization; (4) location of the assault; (5) perpetrator tactics; (6) beliefs about why the assault occurred; and (7) the emotional impact on the victim. This study identified several common themes in the content of sexual assault disclosure on Twitter. Future research can explore whether social media is a cathartic platform for disclosure and how res.
High-yield growth of vertically aligned carbon nanotubes on a continuously moving substrate

Vertically aligned carbon nanotube (CNT) arrays are grown on a moving substrate, demonstrating continuous growth of nanoscale materials with long-range order. A cold-wall chamber with an oscillating moving platform is used to locally heat a silicon growth substrate coated with an Fe/Al2O3 catalyst film for CNT growth via chemical vapor deposition. The reactant gases are introduced over the substrate through a directed nozzle to attain high-yield CNT growth. Aligned multi-wall carbon nanotube arrays (or ‘forests’) with heights of ≈1 mm are achieved at substrate speeds up to 2.4 mm s−1. Arrays grown on moving substrates at different velocities are studied in order to identify potential physical limitations of repeatable and fast growth on a continuous basis. No significant differences are noted between static and moving growth as characterized by scanning electron microscopy and Raman spectroscopy, although overall growth height is marginally reduced at the highest substrate velocity. CNT arrays produced on moving substrates are also found to be comparable to those produced through well-characterized batch processes consistent with a base-growth mechanism. Growth parameters required for the moving furnace are found to differ only slightly from those used in a comparable batch process; thermal uniformity appears to be the critical parameter for achieving large-area uniform array growth. If the continuous-growth technology is combined with a reaction zone isolation scheme common in other types of processing (e.g., in the manufacture of carbon fibers), large-scale dense and aligned CNT arrays may be efficiently grown and harvested for numerous applications including providing interlayers for advanced composite reinforcement and improved electrical and thermal transport.
Presentation of Smoking-Associated Cues Does Not Elicit Dopamine Release after One-Hour Smoking Abstinence: A [11C]-(+)-PHNO PET Study

The presentation of drug-associated cues has been shown to elicit craving and dopamine release in the striatum of drug-dependent individuals. Similarly, exposure to tobacco-associated cues induces craving and increases the propensity to relapse in tobacco- dependent smokers. However, whether exposure to tobacco-associated cues elicits dopamine release in the striatum of smokers remains to be investigated. We hypothesized that presentation of smoking-related cues compared to neutral cues would induce craving and elevation of intrasynaptic dopamine levels in subregions of the striatum and that the magnitude of dopamine release would be correlated with subjective levels of craving in briefly abstinent tobacco smokers. Eighteen participants underwent two [11C]-(+)-PHNO positron emission tomography (PET) scans after one-hour abstinence period: one during presentation of smoking-associated images and one during presentation of neutral images. Smoking cues significantly increased craving compared to neutral cues on one, but not all, craving measures; however, this increase in craving was not associated with overall significant differences in [11C]-(+)-PHNO binding potential (BPND) (an indirect measure of dopamine release) between the two experimental conditions in any of the brain regions of interest sampled. Our findings suggest that presentation of smoking cues does not elicit detectable (by PET) overall increases in dopamine in humans after one-hour nicotine abstinence. Future research should consider studying smoking cue-induced dopamine release at a longer abstinence period, since recent findings suggest the ability of smoking-related cues to induce craving is associated with a longer duration of smoking abstinence.
Measurement of the Cosmic Microwave Background Bispectrum on the COBE DMR Sky Maps

We measure the angular bispectrum of the cosmic microwave background (CMB) radiation anisotropy from the COBE Differential Microwave Radiometer (DMR) 4 yr sky maps. The angular bispectrum is the harmonic transform of the three-point correlation function, analogous to the angular power spectrum, the harmonic transform of the two-point correlation function. First, we study statistical properties of the bispectrum and the normalized bispectrum. We find the latter more useful for statistical analysis; the distribution of the normalized bispectrum is very much Gaussian, while the bare bispectrum distribution is highly non-Gaussian. Then, we measure 466 modes of the normalized bispectrum, all independent combinations of three-point configurations up to a maximum multipole of 20, the mode corresponding to the DMR beam size. By measuring 10 times as many modes as the sum of previous work, we test the Gaussianity of the DMR maps. We compare the data with the simulated Gaussian realizations, finding no significant detection of the normalized bispectrum on a mode-by-mode basis. We also find that the previously reported detection of the normalized bispectrum is consistent with a statistical fluctuation. By fitting a theoretical prediction to the data for the primordial CMB bispectrum, which is motivated by slow-roll inflation, we put a weak constraint on the parameter characterizing nonlinearity in inflation. Simultaneously fitting the foreground bispectra estimated from interstellar dust and synchrotron template maps shows that neither dust nor synchrotron emission significantly contributes to the bispectrum at high Galactic latitude. We conclude that the DMR map is consistent with Gaussianity.
Education for sustainability in higher education; Early Childhood Studies as a site for provocation, collaboration and inquiry

ABSTRACT Fifteen years after they were created, the UN’s Millennium Development Goals (MDGs) have reached their expiration date. The United Nations asserts that surveys conducted in September 2015 suggested that only 4% of the UK public had heard of the MDG’s. The renewed focus on the Sustainable Development Goals (SDGs) offer opportunities for higher education institutions (HEIs) to work alongside students to create a shared and contextualised awareness of sustainable development within Early Childhood Education. This aim is pertinent for those students studying Early Childhood Studies (ECS) degrees with the potential goal of working with babies, young children and their families. The research was situated within a paradigm of critical educational research to establish a shared understanding of sustainable development within a newly validated BA (Hons) ECS programme at a HEI in the Northwest of England. Visual provocations were used as a pedagogical intervention to present a disorientating dilemma, critical reflection on personal perspective and an examination of world views. Findings suggested that visual methodologies supported students to appreciate the ambiguity and contested limits of knowledge, and to draw upon wider sources related to moral and ethical principles and to established rights and responsibilities.
Towards a Real Horn Clause Language

Current database languages based on Horn clausea and the bottom-up model of computa- tion, such aa LDL and DataJog, are not as expreesive as Prolog. For example, such languages do not sup- port schema and higher-order predicates in an inte- grated framework but rely on a separate language to specify the schema information and on evaluable pred- icatea for expressing higher-order information. Prolog on the other hand while providing powerful features does so in only a procedural settiag. Caught between a rock and hard place we ask whether a Horn clause language can be designed which provides most if not all of the power of Prolog in a declarative framework. In this paper we start with a simple logic programming language in which the central notion is that of an ob- ject and an expression. We build upon these simple constructs and show that the resulting language has the power of DataIog and a bottom-up semantics. We then successively increase t6e expressive power of the language to subsume LDL in the sense that we can support sets, stratified negation, and updates to base relations. Finally, we show that our language can sup- port meta, schema and higher-order constructs in an integrated, consistent and clean framework.
Event Schema Induction with a Probabilistic Entity-Driven Model . EMNLP 2013 : Kaa : policy-based explorations of a richer model for adjustable autonomy

category—that is, a schema can represent the narrative commonalities son (1977) as a generalization of recurring event knowledge. 4.2 Schema Induction Procedure. In this section Probabilistic Entity-Driven Model. In EMNLP (pp. portal we built a event type classification model for news articles using lexical Unfortunately the performance of automatic event schema generation and (2) N. Chambers. Event schema induction with a probabilistic entity-driven model.
Regulation of Eotaxin Gene Expression by TNF-α and IL-4 Through mRNA Stabilization: Involvement of the RNA-Binding Protein HuR 1

During inflammatory responses, a major posttranscriptional regulation of early response and inflammatory gene expression occurs through modulation of mRNA turnover. We report that two potent inducers of the CC chemokine eotaxin, TNF-α and IL-4, regulate its production in airway epithelial cells by increasing eotaxin mRNA stability. In experiments using the transcriptional inhibitor actinomycin D, eotaxin mRNA half-life was significantly prolonged by cell stimulation with TNF-α or IL-4, with the combination of the two cytokines being the most effective in extending the mRNA half-life. Involvement of the eotaxin 3′ untranslated region in the mRNA-stabilizing effect was tested by transient transfection of a construct expressing a chimeric transcript carrying a serum-inducible β-globin reporter linked to the eotaxin 3′ untranslated region. The half-life of the chimeric mRNA was markedly increased in cells stimulated with TNF-α and IL-4. Evidence that the mRNA-stabilizing protein HuR participated in the cytokine effect was obtained: first, HuR presence in the cytoplasm, believed to be required for HuR-mediated mRNA stabilization, increased in both transformed (BEAS-2B cell line) and primary bronchial epithelial cells following treatment with TNF-α and IL-4. Second, endogenous eotaxin mRNA was found to bind to HuR in vivo, as detected by immunoprecipitation of HuR-containing messenger ribonucleoprotein complexes followed by real-time RT-PCR analysis; such association increased after cell treatment with TNF-α and IL-4. Third, overexpression of HuR in BEAS-2B cells significantly increased the expression of eotaxin mRNA and protein. Our findings implicate mRNA stabilization in the cytokine-mediated increase in eotaxin expression and strongly suggest a role for HuR in this effect.
A Distributed Throttling Approach for Handling High Bandwidth Aggregates

Public-access networks need to handle persistent congestion and overload caused by high bandwidth aggregates that may occur during times of flooding-based DDoS attacks or flash crowds. The often unpredictable nature of these two activities can severely degrade server performance. Legitimate user requests also suffer considerably when traffic from many different sources aggregates inside the network and causes congestion. This paper studies a family of algorithms that "proactively" protect a server from overload by installing rate throttles in a set of upstream routers. Based on an optimal control setting, we propose algorithms that achieve throttling in a distributed and fair manner by taking important performance metrics into consideration, such as minimizing overall load variations. Using ns-2 simulations, we show that our proposed algorithms 1) are highly adaptive by avoiding unnecessary parameter configuration, 2) provide max-min fairness for any number of throttling routers, 3) respond very quickly to network changes, 4) are extremely robust against extrinsic factors beyond the system control, and 5) are stable under given delay bounds.
Power Supply Noise Reduction for At-Speed Scan Testing in Linear-Decompression Environment

Yield loss caused by excessive power supply noise has become a serious problem in at-speed scan testing. Although X-filling techniques are available to reduce the launch cycle switching activity, their performance may not be satisfactory in the linear-decompressor-based test compression environment. This paper solves this problem by proposing a novel integrated automatic test pattern generation scheme that efficiently and effectively performs compressible low-capture-power X -filling. Related theoretical principles are established, based on which the problem size is substantially reduced. The proposed scheme is validated by benchmark circuits, as well as an industry design in the embedded deterministic test environment.
Response of marine copepods to a changing tropical environment: winners, losers and implications

Background. Climate change concurrent with anthropogenic disturbances can initiate serial changes that reverberate up the food chain with repercussions for fisheries. To date, there is no information available concerning the combined effects of global warming and human impacts on tropical marine food webs. While temperate copepods respond differently to warming and environmental stressors, the extent to which tropical copepods can adapt to rising temperature of already warm waters remains unknown. We hypothesize that sea warming and other anthropogenic disturbances over the long term will have the greatest impact on the copepod community in nearshore waters where their effects are accentuated, and therefore vulnerable and resilient species could be identified. Methods. Zooplankton samples were collected during two time periods (1985–86 and 2014–15) interposed by marked anthropogenic disturbances, and at the same five stations located progressively from inshore to offshore in Klang Strait, Malaysia, following the asymmetrical before-after-control-impact (BACI) design. Copepods were identified to species, and results were interpreted by univariate (ANOVA) and multivariate (PERMANOVA, PCO) analyses of the computed species abundance and diversity measures. Results. Copepod total abundance was not significantly different among stations but higher after disturbance than before disturbance. However, changes in the abundance of particular species and the community structure between time periods were dramatic. Coastal large-bodied calanoid species (e.g., Acartia spinicauda, Calanopia thompsoni, Pseudodiaptomus bowmani and Tortanus forcipatus) were the most vulnerable group to disturbance. This however favored the opportunistic species (e.g., Oithona simplex, O. attenuata, Hemicyclops sp., Pseudomacrochiron sp. and Microsetella norvegica). Small-bodied copepods (e.g., Paracalanus sp., Parvocalanus crassirostris and Euterpina acutifrons) were unaffected. Centropages tenuiremis was likely an introduced species. There was no significant loss in species richness of copepods despite the dramatic changes in community structure. Discussion. Sea warming and other human-induced effects such as eutrophication, acidification and coastal habitat degradation are likely the main factors that have altered copepod community structure. The large-bodied estuarine and coastal calanoid copepods are surmised to be vulnerable to eutrophication and hypoxia, while both resilient and opportunistic species are largely unaffected by, or adaptable to, degraded coastal environments and observed sea surface temperature (SST) rise. It is forecasted that SST rise with unmitigated anthropogenic impacts will further reduce large-bodied copepod species the favoured food for fish larvae with dire consequences for coastal fish production.
Association for Computing Machinery (acm) from Texting App to Braille Literacy

From Texting App to Braille Literacy. Abstract We report the results of a pilot study that explores potential uses for BrailleTouch in the instruction of braille literacy for the visually impaired. BrailleTouch is an eyes-free text entry application for smart phones. We conducted individual semi-structured interviews and a focus group with four domain expert participants. assistive technologies for persons with disabilities.
A fast video super-resolution framework derived from key-frame model

From Bayesian Theory, we know that the Algorithm for Image Super-Resolution Reconstruction based on learning from examples is an effective method to improve the efficiency of image spatial resolution. From the theory of probability, we can learn that when the probability distribution of the information of two images corresponds to each other, if the low-frequency signal components of the two images are rather similar, then their high-frequency signal components will also be similar[1]. In video sequence, complementarity exists between the two adjacent frames in spatial information. We have constructed an algorithm framework to deal with the images' super-resolution which add the high-frequency information obtained after the key frames got the super-resolution reconstruction into the adjacent non-key frame by introducing the key frame model and the image salient area detection algorithm, it can largely improve the algorithm's processing efficiency. Through the experiments in the actual video scenes, the experiments results show that the video processed by our algorithm in the thesis is clearer, has better details recuperability and has less the algorithm's processing rate, compared with the processing result of the traditional super-resolution algorithm.
Reflexiones acerca de la metodología cualitativa para el estudio de las organizaciones

En este articulo se aborda la discusion sobre la complementariedad/ antagonismo de las perspectivas cualitativas y cuantitativas, a partir de lo cual se profundiza sobre algunas caracteristicas de la metodologia y tecnicas cualitativas y su puesta en juego para el diagnostico organizacional.Se reflexiona sobre los componentes y secuencia de las decisiones que se toman a lo largo de una investigacion organizacional desde la perspectiva cualitativa, asi como sobre los alcances y dificultades que se enfrentan.
Stages of Brain and Cognitive Maturation

,\ Epstein (1974a, 1986) and McCall (1988; McCall, Meyers, Hartman, & Roche, 1983) presented discrepant findings regarding the presence ofstages in brain arid.o McCall. Meyers, Hartman, & Roche, 1983) reviewed studies on skull circum­ ference and mental test performance to estimate the probable relationships between brain and cognitive maturation. Epstein reported that skull circumference and mental test perform­ ance (in independent, cross-sectional samples) were correlated over the first 17 years ofpostnatal development. Furthermore, he reported that brain and cognitive maturation proceeded by incremental spurts and plateaus, with three growth cycles starting at I, 6, and 10 years of age, respectively. McCall found that he could not replicate these correlations in a longitudinal sample (same variables, within subjects). Conse­ quently, he questioned the validity and usefulness of brain measurements (i.e., inferred from skull circumference) and their application in the design ofeducational programs. Epstein (l974a, 1986) and McCall (1988; McCall et aI., 1983) opened important discussions concerning the applica­ bility of modern neuroscience data in the design of educa­ tional programs. It is clear that both identified critical issues that make the relationships between brain and mental growth difficult to interpret. Because most investigators in this area are reevaluating previously published data, there is little hope that many desirable or critical variables were used in a single research rePort. Given this limitation, the variables used by Epstein and McCall may not provide essential distinctions for relating brain and cognitive growth.
An efficient projected subgradient algorithm for blind image deconvolution using an L1-TV cost function

Traditional blind image iterative algorithms are designed for Gaussian noise by using the L2-norm error term. For robustness against the influence of non-Gaussian noise, an efficient projected subgradient algorithm for blind image deconvolution is developed, based on a TV cost function with the L1-norm error term. Because of using the subgradient technique, the proposed subgradient algorithm can minimize the L1-TV cost function directly. By contrast, existing L1 norm-based image restoration algorithms only minimize the approximate L1 cost function and assume a known blur. Illustrative examples show that under suboptimal regularization parameters, the projected subgradient algorithm is efficient in producing better image estimate than two traditional blind image iterative algorithms in terms of both ISNR and perception.
Hypertension is associated with greater heat exchange during exercise recovery in a hot environment

Individuals with systemic arterial hypertension have a higher risk of heat-related complications. Thus, the aim of this study was to examine the thermoregulatory responses of hypertensive subjects during recovery from moderate-intensity exercise performed in the heat. A total of eight essential hypertensive (H) and eight normotensive (N) male subjects (age=46.5±1.3 and 45.6±1.4 years, body mass index=25.8±0.8 and 25.6±0.6 kg/m2, mean arterial pressure=98.0±2.8 and 86.0±2.3 mmHg, respectively) rested for 30 min, performed 1 h of treadmill exercise at 50% of maximal oxygen consumption, and rested for 1 h after exercise in an environmental chamber at 38°C and 60% relative humidity. Skin and core temperatures were measured to calculate heat exchange parameters. Mean arterial pressure was higher in the hypertensive than in the normotensive subjects throughout the experiment (P<0.05, unpaired t-test). The hypertensive subjects stored less heat (H=-24.23±3.99 W·m−2 vs N=-13.63±2.24 W·m−2, P=0.03, unpaired t-test), experienced greater variations in body temperature (H=-0.62±0.05°C vsN=-0.35±0.12°C, P=0.03, unpaired t-test), and had more evaporated sweat (H=-106.1±4.59 W·m−2 vs N=-91.15±3.24 W·m−2, P=0.01, unpaired t-test) than the normotensive subjects during the period of recovery from exercise. In conclusion, essential hypertensive subjects showed greater sweat evaporation and increased heat dissipation and body cooling relative to normotensive subjects during recovery from moderate-intensity exercise performed in hot conditions.