Miracle-dz/UniFAR-FTUs huggingface dataset:
Transing the small screen: loving and hating transgender youth in Glee and Degrassi

The teen television shows Glee (2009-) and Degrassi (2001-) are notable for diversity in gender and sexuality representations. Glee represents a variety of masculine women and feminine men as well as gay, lesbian, and bisexual characters. Likewise, Canada's Degrassi franchise has portrayed non-heterosexual characters in significant and controversial ways. Its most recent incarnation, Degrassi (previously Degrassi: The Next Generation) is discussed in this article, alongside Glee, in relation to their recent inclusions of two transgender-identified teenagers bringing transgenderism to the fore of these programmes' discussions of gender and identity. As trans youth are highly vulnerable due to both systemic ageism and cisgenderism, it is not surprising that both detail narratives of discrimination and assault driven by bigotry and ignorance. Conversely, they also explore more positive aspects of the lives of young people, such as friendship and romance (even as these cause their own problems at times), also enjoyed by trans youth. As such, the themes of ‘love’ and ‘hate’ manifest in interesting ways in both of these televisual texts and guide this article's analysis. While challenging assumptions that trans lives are governed by negative emotional states, these representations continue to reify stereotypes, not only of transness, but also of boyhood, girlhood, race and their intersections. Both representations are grounded in material and emotional journeys (or movements) and the concept of the ‘moving body’ (Keegan, 2013) partly informs these readings. The privileging of certain modes of trans personhood and embodiment over less normative (unseen, unacknowledged, and thus invisible) ones is at stake in these representations, but they also lay the groundwork for diverse future depictions. By addressing this gap in research, this article elucidates how gender (diversity) is being constructed for consumption on adolescent television and its potential for (re)thinking trans/gender, identity, and embodiment for young people in contemporary Western societies.
Parameter and time-delay identification of continuous-time models from non-uniformly sampled data

This paper considers the problem of continuous-time model identification with arbitrary time-delay from irregularly sampled data. The proposed method estimates the plant and the time-delay in a separable way, when estimating one of them, the other is assumed to be fixed. More precisely, the plant is estimated by the iterative instrumental variable SRIVC method while the time-delay is estimated by the Gauss-Newton method. Because of the nonlinear relationship between the loss function and the time-delay, a low-pass filter is employed to extend the global convergence region for the time-delay estimation. Numerical examples are presented to illustrate the properties of the proposed method.
The Prosody of Mandarin Chinese

Through acoustic analysis of Mandarin Chinese intonation, the author finds that the intonation baseline moves up when intonation is shifted from assertive to interrogative; therefore, two baselines and two intonation layers must be reckoned with. Sentence intonation affects the tonal values and the tonal shapes of intrinsic lexical tones, though not beyond recognition. Tonal changes prove to be closely related to sentence intonation, which is superimposed simultaneously onto the utterance as a whole. The author's findings support the position of the movability of the intonation baseline and rectify some widely spread traditional claims concerning Mandarin Chinese prosody.
An Examination of the Factor Structures of the Computer Attitude Scale

Previous research regarding the popular Computer Attitude Scale (CAS) has indicated that the computer confidence and computer anxiety subscales measure the same trait. This study, utilizing data yielded from 208 educators, obtained estimates of the reliability of the four subscale version of the forty item CAS; provided detailed information regarding the factor patterns of the CAS subscales; and provided evidence about the differential validity of the CAS among four groups with differing intensity of computer usage. Correlations and exploratory factor analysis were used to analyze the data. The results confirm that the confidence and anxiety subscales are a continuum. A new, smaller, subscale was created to reflect this relationship. Further, a new factor, attitudes toward academic endeavors associated with computer training, was named. The CAS may now be interpreted as a thirty-four-item scale addressing computer liking, perceived usefulness of computers, computer confidence/anxiety, and attitudes toward academic endeavors associated with computer training.
Improving Recommendation Accuracy by Clustering Social Networks with Trust

Social trust relationships between users in social networks speak to the similarity in opinions between the users, both in general and in important nuanced ways. They have been used in the past to make recommendations on the web. New trust metrics allow us to easily cluster users based on trust. In this paper, we investigate the use of trust clusters as a new way of improving recommendations. Previous work on the use of clusters has shown the technique to be relatively unsuccessful, but those clusters were based on similarity rather than trust. Our results show that when trust clusters are integrated into memory-based collaborative filtering algorithms, they lead to statistically significant improvements in accuracy. In this paper we discuss our methods, experiments, results, and potential future applications of the technique.
Integration of patient characteristics and the results of Chlamydia antibody testing and hysterosalpingography in the diagnosis of tubal pathology: an individual patient data meta-analysis

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A Web-based English Proofing System for English as a Second Language Users

We describe an algorithm that relies on web frequency counts to identify and correct writing errors made by non-native writers of English. Evaluation of the system on a realworld ESL corpus showed very promising performance on the very difficult problem of critiquing English determiner use: 62% precision and 41% recall, with a false flag rate of only 2% (compared to a random-guessing baseline of 5% precision, 7% recall, and more than 80% false flag rate). Performance on collocation errors was less good, suggesting that a web-based approach should be combined with local linguistic resources to achieve both effectiveness and efficiency.
Personality and Drinking Behavior in Alcohol Dependence: A Survival Analysis

Baseline levels of Five-Factor personality Neuroticism and Conscientiousness have been shown to predict clinician-assessed relapse in individuals with alcohol dependence, with high Neuroticism and low Conscientiousness increasing risk for relapse. These findings were reexamined with a behaviorally based, temporally-precise outcome measure (first heavy drinking date after baseline) utilizing the drinking data of a diverse treatment sample of 364 alcohol-dependent individuals over 2-year follow-up. Survival analysis results failed to replicate Neuroticism and Conscientiousness as univariate predictors of drinking behavior over time but found support for the effect of Neuroticism in a multivariate model of clinical and demographic predictors. Other Five-Factor personality factors were tested in exploratory analyses. Implications of the findings are discussed.
Adaptive and demographic responses of plankton populations to environmental change

Because of their large population sizes, short generation times, and clonal mode of propagation, microorganisms should often be the first members of a community to respond evolutionarily to temporal changes in the environment. Because the planktonic microbial community directly or indirectly influences all other members of aquatic ecosystems, it is useful to have a general theory for the magnitude and limits of such response. Models are presented for the expected dynamics of evolutionary change for the mean and variance of a quantitative character under natural selection toward a fixed or a moving optimum. It is also shown how the rate of population growth is related to the phenotypic composition of the population and the selective aspects of the environment. These models, which lead to the identification of extinction thresholds for the rate of environmental change beyond which a population cannot maintain itself, provide a heuristic basis for understanding the response of ecosystems to environmental perturbations. The analyses also indicate that clones of microorganisms isolated into novel laboratory environments are likely to undergo substantial evolutionary change over periods of a few hundred days, which raises questions about the utility of such cultures for inferring ecological properties of natural populations.
Correcting Errors in Digital Lexicographic Resources Using a Dictionary Manipulation Language

We describe a paradigm for combining manual and automatic error correction of noisy structured lexicographic data. Modifications to the structure and underlying text of the lexicographic data are expressed in a simple, interpreted programming language. Dictionary Manipulation Language (DML) commands identify nodes by unique identifiers, and manipulations are performed using simple commands such as create, move, set text, etc. Corrected lexicons are produced by applying sequences of DML commands to the source version of the lexicon. DML commands can be written manually to repair one-off errors or generated automatically to correct recurring problems. We discuss advantages of the paradigm for the task of editing digital bilingual dictionaries.
UBVRI twilight sky brightness at ESO-Paranal ?

Context. Twilight studies have proved to be important tools to analyze the atmospheric structure with interesting consequences on the characterization of astronomical sites. Active discussio ns on this topic have been recently restarted in connection with the evaluation of Dome C, Antarctica as a potential astronomical site and several s ite-testing experiments, including twilight brightness m easurements, are being prepared. Aims. The present work provides for the first time absolute photome tric measurements of twilight sky brightness for ESO-Paranal (Chile), which are meant both as a contribution to the site monitoring and as reference values in the analysis of other sites, inclu ding Dome C. Methods. The U BVRI twilight sky brightness was estimated on more than 2000 FORS1 archival images, which include both flats and standard stars observations taken in twilight, covering a Sun zenith distance range 94 ◦ -112 ◦ . Results. The comparison with a low altitude site shows that Paranal V twilight sky brightness is about 30% lower, implying that some fraction of multiple scattering has to take place at an altitude of a fe w km above the sea level.
Models of f(R) Cosmic Acceleration that Evade Solar-System Tests

We study a class of metric-variation fRmodels that accelerates the expansion without a cosmological constant and satisfies both cosmological and solar-system tests in the small-field limit of the parameter space. Solar-system tests alone place only weak bounds on these models, since the additional scalar degree of freedom is locked to the high-curvature general-relativistic prediction across more than 25 orders of magnitude in density, out through the solar corona. This agreement requires that the galactic halo be of sufficient extent to maintain the galaxy at high curvature in the presence of the low-curvature cosmological background. If the galactic halo and local environment in fRmodels do not have substantially deeper potentials than expected inCDM , then cosmological field amplitudes jfRj * 10 � 6 will cause the galactic interior to evolve to low curvature during the acceleration epoch. Viability of large-deviation models therefore rests on the structure and evolution of the galactic halo, requiring cosmological simulations of fRmodels, and not directly on solar-system tests. Even small deviations that conservatively satisfy both galactic and solar-system constraints can still be tested by future, percent- level measurements of the linear power spectrum, while they remain undetectable to cosmological- distance measures. Although we illustrate these effects in a specific class of models, the requirements on fRare phrased in a nearly model-independent manner.
Classifying Trajectories on Road Network using Neural Network

Classification is very important in the process of Machine Learning and Data Mining. Traditional Neural Network classifier work with many kinds of data such as items, text documents, signals, networks, but there is lack of study on Trajectory Classification based on Neural Network. In this paper, proposing a system for classification of Trajectories on Road Network using classifier Neural Network. In this paper explored classification technique used for Trajectory Classification. The best feature candidate for classifying trajectory on road network is Sequential Pattern, as it preserves order of visiting sequence of Trajectories on road network. In this paper, here proposing a model using sequential pattern and neural network for acquiring high accuracy and efficiency for Trajectory Classification. General Terms Pattern Mining, Sequential Pattern, Neural Network.
Synthesis of provably correct controllers for autonomous vehicles in urban environments

This paper considers automatic synthesis of provably correct controllers for autonomous vehicles operating in an urban environment populated with static obstacles and live traffic. We express traffic rules such as collision avoidance, vehicle separation, speed limit, lane following, passing, merging and intersection precedence requirements in a formal specification language. Embedded control software synthesis is then applied to generate a controller that ensures that the vehicle obeys this set of traffic rules in any road and traffic conditions that satisfy certain assumptions.
A Multi-Robot Formation Control System Design

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Job experience, work load, and risk of musculoskeletal disorders

OBJECTIVES To investigate the effects of physical work load and job experience on morbidity from musculoskeletal disorders among trailer assembly workers. METHODS A longitudinal study was carried out in a trailer assembly factory with many new workers employed during the follow up. The sickness absence of 532 workers (160 experienced and 372 new (separately for the first year of employment and from the second year on)) was followed up. Exposure was assessed by job titles, visits, task descriptions, and some direct measurements. The associations between the explanatory variables and sick leave were assessed by log linear models. RESULTS A higher rate of sick leave due to disorders of the upper limbs was found for new workers compared with experienced ones, especially in the high work load group. Women had a higher rate than men. New male workers in physically strenuous tasks had a high rate of sick leave due to neck and shoulder disorders. CONCLUSIONS As being unaccustomed to work seems to increase the risk of musculoskeletal disorders, special attention should be paid to newly employed workers.
Glucosylation and Other Biotransformations of T-2 Toxin by Yeasts of the Trichomonascus Clade

ABSTRACT Trichothecenes are sesquiterpenoid toxins produced by Fusarium species. Since these mycotoxins are very stable, there is interest in microbial transformations that can remove toxins from contaminated grain or cereal products. Twenty-three yeast species assigned to the Trichomonascus clade (Saccharomycotina, Ascomycota), including four Trichomonascus species and 19 anamorphic species presently classified in Blastobotrys, were tested for their ability to convert the trichothecene T-2 toxin to less-toxic products. These species gave three types of biotransformations: acetylation to 3-acetyl T-2 toxin, glycosylation to T-2 toxin 3-glucoside, and removal of the isovaleryl group to form neosolaniol. Some species gave more than one type of biotransformation. Three Blastobotrys species converted T-2 toxin into T-2 toxin 3-glucoside, a compound that has been identified as a masked mycotoxin in Fusarium-infected grain. This is the first report of a microbial whole-cell method for producing trichothecene glycosides, and the potential large-scale availability of T-2 toxin 3-glucoside will facilitate toxicity testing and development of methods for detection of this compound in agricultural and other products.
Assessing Pilots with 'the Wrong Stuff': A Call for Research on Emotional Health Factors in Commercial Aviators

The responsibility that airline pilots have toward the safety of passengers is immense. Airline pilots are likely to be among the most reliable and psychologically problem-free populations. Yet, psychological problems can and do occur among persons who pursue this occupation although the actual extent is unknown. Personality disorders, substance abuse disorders, bipolar disorder, and psychosis are mental health problems that can prevent a person from holding medical certification required in airline flying. No definitive epidemiological studies have been conducted to provide rates of these and other disorders in this important population. Personality and emotional factors have been found to impact job performance; however, most airlines do little in the way of psychological assessment at the initial hiring stage or throughout the pilot's career to detect potential personality problems or emotional disorders. Much is known about the personality and mental health factors that could affect performance of pilots but little of this information has been incorporated in pilot screening programs. This article surveys a number of potential problem areas that can lead to performance decrements. Recommendations with respect to psychological assessment in airline pilot mental health determinations are suggested. Further research to determine the full extent of maladjustment among pilots is recommended.
A subfraction of the yeast endoplasmic reticulum associates with the plasma membrane and has a high capacity to synthesize lipids.

Large parts of the endoplasmic reticulum of the yeast, Saccharomyces cerevisiae, are located close to intracellular organelles, i.e. mitochondria and the plasma membrane, as shown by fluorescence and electron microscopy. Here we report the isolation and characterization of the subfraction of the endoplasmic reticulum that is closely associated with the plasma membrane. This plasma membrane associated membrane (PAM) is characterized by its high capacity to synthesize phosphatidylserine and phosphatidylinositol. As such, PAM is reminiscent of MAM, a mitochondria associated membrane fraction of the yeast [Gaigg, B. , Simbeni, R. , Hrastnik, C. , Paltauf, F. & Daum, G. (1995) Biochim. Biophys. Acta 1234, 214-220], although the specific activity of phosphatidylserine synthase and phosphatidylinositol synthase in PAM exceeds several-fold the activity in MAM and also in the bulk endoplasmic reticulum. In addition, several enzymes involved in ergosterol biosynthesis, namely squalene synthase (Erg9p), squalene epoxidase (Erg1p) and steroldelta24-methyltransferase (Erg6p), are highly enriched in PAM. A possible role of PAM in the supply of lipids to the plasma membrane is discussed.
Modeling latent aspects for automatic image annotation

In this paper, we present an approach based on probabilistic latent semantic analysis (PLSA) to accomplish the tasks of automatic image annotation. In order to model training data precisely, we represent an image as a bag of visual words and employ two PLSA models to capture semantic information from visual and textual modalities respectively. Furthermore, an adaptive learning approach is proposed to combine the aspects learned from both modalities. For each image document, distribution over aspects is fused by different weight in terms of the entropy of its feature distribution. Consequently, the two models are linked with the same distribution over aspects. This structure can predict semantic annotation for an unseen image because it associates visual and textual modalities properly. We compare our approach with several previous approaches on a standard Corel dataset. The experiment results show that our approach performs more effectively and accurately.
Identity Development in a Transracial Environment: Racial/Ethnic Minority Adoptees in Minnesota

It has been argued that transracially adopted children have increased risk of problems related to self-esteem and ethnic identity development. We evaluated this hypothesis across four groups of transracial adoptees: Asian (n = 427), Latino (n = 28), Black (n = 6), mixed/other (n = 20), and same-race White adoptees (n = 126) from 357 adoptive families. No mean differences were found in adoptees’ ratings of affect about adoption or of curiosity about birth parents. Some differences were found in general identity development and adjustment. There were notable differences in communication about race/ethnicity across groups and between parent and child report.
Mobile Agent-Based Digital Rights Management Scheme

In the paper, we introduce a mobile software agent-based scheme for digital rights management targeted for personal mobile devices. The goal of the proposed scheme is to provide a solution secure yet simple to implement and maintain for controlled consumption of digital media objects. In order to protect the digital content in transport and to prevent non-authorized use, we apply a combination of a threshold scheme, one-time password system, key agreement protocol, and clueless mobile agents. Here, every participating software agent receives a share from a dealer and only the end user is able to decrypt the DRM content after gathering all the shares. Clueless mobile agents traveling between the participants' sites do the distribution and the gathering of the shares. The proposed DRM scheme is compared to the industry-leading Open Mobile Alliance's digital rights management specification and their applicability and the differences are thoroughly discussed. Finally, we evaluate the weaknesses of the scheme and propose few variants satisfying different security requirements.