Miracle-dz/UniFAR-FTUs huggingface dataset:
THE TOXICITY OF SODIUM MONOFLUOROACETATE (1080) TO HUBERIA STRIATA, A NEW ZEALAND NATIVE ANT

Although many species of native invertebrates have been identified on toxic baits containing sodium monofluoroacetate (1080) following aerial operations for possum control, few quantitative data are available to determine the risk of primary or secondary poisoning that may result from these exposures. This paper reports on a series of studies conducted to determine the risk of 1080 exposure to one such non-target insect, the native ant Huberia striata. Subsequent risk of secondary poisoning to insectivorous animals is extrapolated. Ants were exposed in the laboratory to cereal baits containing 0.15% sodium monofluoroacetate, with and without alternative sources of food, and mortality was compared with controls after 24 and 48 h. Acute mortality was significantly greater in both exposed groups and ants that died contained 1080 residues, indicating that some ants could consume lethal amounts of 1080 in cereal baits. However, the increase in mortality was relatively small (7% after 24 h and 12% after 48 h), indicating either that palatability of 1080 bait to this species is low, or that the toxin is not readily absorbed from this matrix. Additional trials were conducted to expose ants to 1080 in sugar-water, in order to determine the acute toxicity dose range. The oral LD50 at 48 h was 42 mg kg , which was comparable to previous results obtained for the large-headed weta, Hemideina crassidens. The persistence of 1080 in ants consuming a sub-lethal dose was also determined, in order to assess risks of secondary poisoning to insectivores. Residues in ants receiving approximately 36 mg kg of 1080 declined rapidly, from a peak of 5.51 mg kg 1 day after exposure, to 0.27 mg kg after 7 days. Potential risks to insectivorous birds were calculated using worst-case exposure assumptions, and were determined to be negligible. __________________________________________________________________________________________________________________________________
Methods of coating textiles with soluble conducting polymers

Soluble conducting alkyl polypyrrole polymers have been applied by either chemical polymerization of the 3-alkyl monomers or direct application of polymer emulsion to the surface. Solution, vapor and spray polymerization methods of coating poly(3-alkylpyrroles) to the surface of woven wool fabrics are explored. Conductive textile samples have also been prepared by applying emulsions of soluble prepolymerized 3-alkylpyrrole to the fabric surface. Direct applications of a conductive paint to the textile surface eliminate the exposure of the substrate to damaging oxidizing agents which allow the coating of more sensitive and delicate substrates. All textiles produced are tested for abrasion resistance and conductivity. For alkyl polypyrrole coated fabrics, the optimum carbon chain lengths are between n=10 and n=14, which result in optimum values of conductivity and solubility. The darkness of the tone is inversely related to the surface resistivity of the resulting conductive fabric. Therefore, deep black coatings have low resistivity whereas light gray coatings on a white fabric surface have higher surface resistivity. Longer alkyl chains result in higher surface resistivity in fabrics. The conductive coating of poly(3-decanylpyrrole) on the textile surface has a better abrasion resistance compared to that of an unsubstituted polypyrrole coating.
Effect of the DGATI gene polymorphism on milk production traits in Black-and-White (Friesian) cows.

The effect was studied of the lysine/alanine (K232A) diallelic polymorphism in acylCoA-diacylglycerol-acyltransferase 1 (DGAT1) on milk production traits in a sample of Polish-Black-and-White (Friesian) cows. The considered polymorphism results from AA→GC nucleotide substitution in DGAT1 gene exon 8. Genotyped were 177 cows out of which 86 were included in the association study. The DGAT1 genotype showed no significant effect on the daily milk yield. Moreover, no differences were found between genotypes in daily yield of fat-corrected-milk (FCM) and mean daily value-corrected milk (VCM). The cows of DGAT1 genotype AA/GC yielded milk with significantly higher fat and total protein content than those of GC/GC genotype. Moreover, the AA/GC cows produced milk with higher total solids and solids-non-fat content. The total milk protein to milk fat ratio in AA/GC cows was 0.79, while 0.83 in GC/GC cows. No significant differences were found between genotypes in the weight of milk components produced daily. The study showed some associations occurring between genetic variants at the coding region of the bovine DGAT1 gene and milk production traits of Polish Blackand-White (Friesian) cattle; in particular the AA allele (coding for lysine) appeared favourable for fat and protein content of milk.
Reducing the pain of childhood vaccination: an evidence-based clinical practice guideline

CMAJ • DECEMBER 14, 2010 • 182(18) © 2010 Canadian Medical Association or its licensors E843 Injections for vaccinations, the most common source of iatrogenic pain in childhood, are administered repeatedly to almost all Canadian children throughout infancy, childhood and adolescence. The pain associated with such injections is a source of distress for children, their parents and those administering the injections. If not addressed, this pain can lead to preprocedural anxiety in the future, needle fears and health care avoidance behaviours, including nonadherence with vaccination schedules. It is estimated that up to 25% of adults have a fear of needles, with most fears developing in childhood. About 10% of the population avoids vaccination and other needle procedures because of needle fears. Conversely, minimizing pain during childhood vaccination can help to prevent distress, development of needle fears and subsequent health care avoidance behaviours, such as nonadherence with vaccination schedules. More positive experiences during vaccine injections also maintain and promote trust in health care providers. In light of the prevalence of pain during vaccine injections and the potential for substantial short-term and long-term adverse sequelae, we identified a need for a national guidance document to address this important public health issue. Although the topic was covered in a previous narrative review and national guideline, neither of these documents was based on the requisite systematic approach and rigorous guideline development process. Moreover, additional data have been published since the appearance of the previous documents. Our objective was to develop a clinical practice guideline, based on systematic reviews of the literature, as interpreted by experts, to assist clinicians in managing procedure-related pain and distress among children undergoing vaccine injections. The scope was limited to acute (immediate) pain and distress at the time of vaccine injection in children 0 to 18 years of age. We did not consider the management of delayed-onset pain occurring in the hours or days after the injection. Health care providers and researchers often use the term “distress” to refer to the combination of pain and anxiety or fear experienced by children before and during painful medical procedures. For the purposes of this guideline, we considered distress and pain together, referring to the com bination as “pain. ”
Seer: Leveraging Big Data to Navigate the Increasing Complexity of Cloud Debugging

Performance unpredictability in cloud services leads to poor user experience, degraded availability, and has revenue ramifications. Detecting performance degradation a posteriori helps the system take corrective action, but does not avoid the QoS violations. Detecting QoS violations after the fact is even more detrimental when a service consists of hundreds of thousands of loosely-coupled microservices, since performance hiccups can quickly propagate across the dependency graph of microservices. In this work we focus on anticipating QoS violations in cloud settings to mitigate performance unpredictability to begin with. We propose Seer, a cloud runtime that leverages the massive amount of tracing data cloud systems collect over time and a set of practical learning techniques to signal upcoming QoS violations, as well as identify the microservice(s) causing them. Once an imminent QoS violation is detected Seer uses machine-level hardware events to determine the cause of the QoS violation, and adjusts the resource allocations to prevent it. In local clusters with 10 40-core servers and 200-instance clusters on GCE running diverse cloud microservices, we show that Seer correctly anticipates QoS violations 91% of the time, and attributes the violation to the correct microservice in 89% of cases. Finally, Seer detects QoS violations early enough for a corrective action to almost always be applied successfully.
Strengthening strategy for a ductile metastable β-titanium alloy using low-temperature aging

ABSTRACT While ω precipitates in metastable β titanium alloys are typically considered embrittling and consequently deleterious to the mechanical properties, this paper demonstrates that low-temperature aging (LTA) treatments for short time periods can in fact enhance the yield strength while preserving substantial elongation-to-failure in ω containing β titanium alloys. LTA treatments, carried out on a ductile β metastable Ti–12Mo alloy, significantly improve the yield strength of the material (∼55% increase as compared to solution-treated samples) while keeping both TRIP/TWIP effects and a large elongation-to-failure (ϵ = 0.4 in true strain), resulting in a balance of mechanical properties. IMPACT STATEMENT Employing a novel low-temperature annealing strategy, omega precipitates, typically considered embrittling in beta titanium alloys, can effectively increase the yield strength by 50% while preserving 40% tensile ductility. GRAPHICAL ABSTRACT
Emotion Detection from EEG Recordings Based on Hybrid Dimension Reduction on Distinct Features

In recent years, researchers have been trying to detect human emotions from recorded brain signals such as Electroencephalogram (EEG) signals. However, due to the high levels of noise from the EEG recordings, a single feature alone cannot achieve good performance. A combination of distinct features is the key for automatic emotion detection. In this paper, we present a hybrid dimension feature reduction scheme using a total of 14 different features extracted from EEG recordings. The scheme combines these distinct features in the feature space using both supervised and unsupervised feature selection processes. Maximum Relevance Minimum Redundancy (mRMR) is applied to re-order the combined features into max-relevance with the labels and min-redundancy of each feature. The generated features are further reduced with Principal Component Analysis (PCA) for extracting the principal components. Experimental results show that the proposed work outperforms the state-of-art methods using the same settings in the publicly available DEAP [21] data set.
Impact of non-heterosexual impulses on heterosexuals’ attitudes towards monogamy and casual sex

Previous research on sexual practices and commitment to monogamy of individuals has primarily been conducted on populations who endorse traditional sexual orientation labels of heterosexual, bisexual, and homosexual. Recent studies, however, demonstrate 16% of men and 37% women demonstrate some form of non-heterosexual attraction, behaviour, or fantasy although they endorse a heterosexual orientation status. The present study explored the impact of attitudes towards monogamy and casual sex for individuals who endorse non-heterosexual impulses but a heterosexual sexual orientation. A sample of 1,614 heterosexual men and women completed a voluntary questionnaire about sexual orientation, attraction, behaviours, and their attitudes towards casual sex and monogamy. Results revealed individuals who reported non-heterosexual sexual impulses endorsed increased acceptance of non-monogamous behaviour and increased acceptance of casual sex. Findings demonstrate the importance of providing education to clients about sexual orientation development, as well as ensuring that mental health providers and researchers alike do not force traditional labels of sexual orientation onto individuals. Furthermore, results indicate counsellors should establish a framework to engage couples and individuals in discussing their desires for casual sex and non-monogamy in an environment which is both accepting and understanding of that person’s experience.
A Modified ETDRS Visual Acuity Chart for European-Wide Use

Purpose. The log MAR visual acuity (VA) chart developed for use in the Early Treatment Diabetic Retinopathy Study (ETDRS) is composed of 10 Sloan letters, which are not used in the Greek, Cyrillic, and Central European alphabets. In this study we evaluate a modified ETDRS chart, the University of Crete (UoC) chart, which contains a set of letters readable by all European citizens. Methods. In the UoC charts, the letters C, D, R, N, V, S, and Z were substituted with E, P, B, X, Y, A, and T, respectively. The similarity between the modified and the standard acuity charts was evaluated using two procedures. First, VA of 227 secondary school children (454 eyes) was evaluated using both sets of charts. Second, the relative difficulty for the identification of individual Sloan letters used in both charts, as well as letter M, was assessed from psychometric functions for five subjects. Results. Bland–Altman plots revealed no statistical significant differences in the value of VA between the standard and the UoC set of charts. Although, estimates of identification log MAR threshold showed relatively significant interletter variability, in total, the new set of Sloan letters was equally identifiable with the original set. Conclusions. The overall pattern of results suggests that the modified log MAR UoC charts forms a valid alternative to the ETDRS for assessing VA in multinational clinical trials, offering the advantage of containing letters recognizable by a wider population basis, such as European citizens, as well as subjects from countries using the Cyrillic alphabet.
SOCIAL DEIXIS IN ELIZABETH THE GOLDEN AGEMOVIE SCRIPT

Movie script is a text that contains many things that make people get large imagination when they read it, and sometimes they get difficulty in understanding some expressions that have unclear referent and meaning. Social deixis as one of theory in pragmatic is able to use. This research is aimed to describe the social deixis used in Elizabeth the Golden Age movie script by using the social deixis theory stated by Stephen C. Levinson. To get this goal, there are two research questions which are formulated; they are; (1) what are the kinds of social deixis used in Elizabeth the Golden Age Movie script? (2) What are the references and interpretations of each kind of social deixis in Elizabeth the Golden Age Movie script? In analyzing the data of this research, the researcher uses qualitative method, and for collecting data technique, the researcher uses document analysis. The result of this research shows two kinds of social deixis that is used in Elizabeth the Golden Age movie script. Those are speaker and referent of relational social deixis, and authorized recipient of absolute social deixis. The references and interpretations of each kind of social deixis depend on the context, utterances, and the usage of each kind of social deixis in the movie script or text.
What roles can attention play in recognition?

Does attention have relevance for visual recognition and if so, under what circumstances? Is there a particular role (or roles) for attentive processes? These are not so simple to answer. Attention, if used at all in computer vision, has traditionally played one or both of the following roles: where to look next (or selection of region of interest), or top-down task influence on visual computation. In this paper, I argue that these are only two of the possible roles. Attention is also closely linked to binding and it is the triad of attention, binding and recognition that go hand in hand for non-trivial visual recognition tasks. This paper describes a set of four novel binding processes that employ a variety of attentive mechanisms to achieve recognition beyond the first feed-forward pass. The description is at a conceptual level with many pointers to papers where details may be found.
How Stable Is Political Parties’ Issue Ownership? A Cross-Time, Cross-National Analysis

Research on issue ownership is accelerating and so is its use in studies of voting and party behaviour. Yet we do not know how stable issue ownership is. Does it describe a solid, persistent association between a party and an issue in the eyes of the electorate, or does it describe a more fluid and fragile issue reputation of a party among the electorate? Theoretical and empirical work suggests both stability and variability in issue ownership. To get closer to an answer, this article presents and analyses unprecedented comprehensive data on issue ownership. The analysis identifies stability rather than change in issue ownership over time and similarity more than difference across countries, and therefore suggests that issue ownership is a general and long-term rather than a local and short-term phenomenon. The implications for how voters perceive parties are important.
Performance Analysis of Three-Dimensional Clustered Device-to-Device Networks for Internet of Things

Internet of things (IoT) is a smart technology that connects anything anywhere at any time. Intelligent device-to-device (D2D) communication, in which devices will communicate with each other autonomously without any centralized control, is an integral part of the Internet of Things (IoT) ecosystem. Thus, for D2D applications such as local file sharing or swarm sensing, we study communications between devices in proximity in ultra-dense urban environments, where devices are stacked vertically and dispersed in the horizontal plane. To reflect the spatiotemporal correlation inherently embedded in the D2D communications, we model and analyze clustered D2D networks in three-dimensional (3D) space based on Thomas cluster process (TCP), where the locations of clusters follow Poisson point process, and cluster members (devices) are normally distributed around their cluster centers. We assume that multiple device pairs in the network can share the same frequency band simultaneously. Thus, in the presence of cochannel interference from both the same cluster and the other clusters, we investigate the coverage probability and the area spectral efficiency of the clustered D2D networks in 3D space.
Susceptibility to Social Influence of Privacy Behaviors: Peer versus Authoritative Sources

Privacy in Online Social Networks (OSNs) is a dynamic concept, contingent on changes in technology and usage norms. Social influence is a major avenue for adopting online behaviors in general and privacy practices in particular. In this study, we examine how the source of influence affects the perceived behavioral intention to adopt privacy behavior. Our findings are based on a randomized experiment (167 U.S.-based Amazon Mechanical Turk workers) using a custom Facebook application that collects feedback from participants regarding their intention to adopt privacy practices from different types of sources, including authoritative organizations and friends with varying tie strength correlative. Our results show that the source of social influence affects the susceptibility to adopt certain privacy behaviors and that there are different patterns of influence for security and privacy norms. More interestingly, susceptibility is modulated by the privacy perceptions of the user: users with high perceived behavioral control are more susceptible to peer influence. Additionally, we show that the intention to adopt privacy practices is correlated with the intention to further influence other people.
Variable-Byte Encoding is Now Space-Efficient Too

The ubiquitous Variable-Byte encoding is considered one of the fastest compressed representation for integer sequences. However, its compression ratio is usually not competitive with other more sophisticated encoders, especially when the integers to be compressed are small that is the typical case for inverted indexes. This paper shows that the compression ratio of Variable-Byte can be improved by $2\times$ by adopting a partitioned representation of the inverted lists. This makes Variable-Byte surprisingly competitive in space with the best bit-aligned encoders, hence disproving the folklore belief that Variable-Byte is space-inefficient for inverted index compression. Despite the significant space savings, we show that our optimization almost comes for free, given that: we introduce an optimal partitioning algorithm that, by running in linear time and with low constant factors, does not affect indexing time; we show that the query processing speed of Variable-Byte is preserved, with an extensive experimental analysis and comparison with several other state-of-the-art encoders.
Association of dietary patterns and hyperuricemia: a cross-sectional study of the Yi ethnic group in China

Background Diet plays an important role in the development of hyperuricemia (HUA), but evidence for association between overall dietary patterns and HUA is scarce and inconsistent. The present study aims to explore association of dietary patterns and HUA among the Yi ethnic group of China. Methods This is a cross-sectional study involving people aged more than 18 years. Principal component factor analysis (PCFA) on food groups from a semi-quantitative 52-item food frequency questionnaire was applied to identify dietary patterns. HUA status was regressed on tertiles of factor scores to estimate prevalence ratio (PR) by using log-binomial model. Results Of the 1,893 participants (18–96 years), 398 (21.0%) were diagnosed with HUA. Three dietary patterns were identified: ‘plant-based’, ‘animal products’, and ‘mixed food’. The ‘animal products’ was characterized by high intake of fish, animal giblets, fresh meat, and wheat products. After adjustment for potential confounders, the highest tertile of ‘animal products’ pattern score was associated with higher prevalence of HUA when compared with the lowest tertile (PR: 1.34, 95% CI: 1.06–1.70). The other two patterns were not related to HUA. Conclusions ‘Animal products’ dietary pattern was correlated with HUA among the Yi ethnic group of China.
Towards Dependable Deep Convolutional Neural Networks (CNNs) with Out-distribution Learning

Detection and rejection of adversarial examples in security sensitive and safety-critical systems using deep CNNs is essential. In this paper, we propose an approach to augment CNNs with out-distribution learning in order to reduce misclassification rate by rejecting adversarial examples. We empirically show that our augmented CNNs can either reject or classify correctly most adversarial examples generated using well-known methods ( >95% for MNIST and >75% for CIFAR-10 on average). Furthermore, we achieve this without requiring to train using any specific type of adversarial examples and without sacrificing the accuracy of models on clean samples significantly (< 4%).