Miracle-dz/UniFAR-FTUs huggingface dataset:
‘If Your Face Doesn’t Fit…’: The Misrecognition of Working‐Class Lesbians in Scene Space

Abstract This article makes use of the concept of ‘misrecognition’ to convey the ways that working‐class lesbians are rendered unentitled to occupy commercialized scene space, focussing mainly on the UK cities of Glasgow, Edinburgh and Manchester. The article is based upon an ESRC funded study of working‐class lesbians, which examines the significance of class and sexuality in the lives of women who self‐identify themselves as working‐class and lesbian. Here, the author points to the need to more thoroughly ‘class’ scene space and suggests that consideration of the experiences of working‐class lesbians furthers this agenda. Devaluations occur through ‘failure’ to display, via appearance, the ‘correct’, ‘gay’ signifiers and so the use of these leisure spaces is rarely experienced as pleasurable reclamations or as equal mixing of identities, appearances, bodies, and lifestyles. However, the women interviewed were far from passive in these processes and in charting their responses the author highlights their significant critiques of scene space(s) as ‘middle‐class’, ‘pretentious’ and ‘male’. Such sentiments ultimately affected a sense that it was not really ‘their’ space – even if, fraught and fragmentary, entitlement claims were still made upon it.
An Examination of Attachment Status of Preschool Children

The goal of this study is to study factors that influence attachment status of preschool children. Type of the study is relational screening and its sample comprise 78 typically developing children between 60-77 months who attend a Kindergarten affiliated to the Directorate of National Education in Suleymanpasa district of Tekirdag province. The obtained data about several demographic features of children “General Information Form” and “Incomplete Doll Family Story Scale (IDFSS)” which was developed by Cassidy (1988) and adapted to Turkish language by Seven (2006). Data frequency, percentage and distribution were found with General Information Form and data was found typically distributed. In statistical analysis, t test was used in cases where number of groups was two and one-way variance analysis in cases where it was three or higher. Data was analyzed in SPSS 22.0 at 0.05 significance level. Total attachment score of children aged 60-77 months was found 21.38 at the end of the study. Avoidant attachment was observed in 53.8 of children while 15.4% were negatively and 30.8% were securely attached. Thus, it was found that 69.2% of children were insecurely attached while 30.8% were securely attached. Study findings suggest that attachment level of children differed in favor of girls with regards gender while it did not differ in terms of other variables such as number of siblings, family type, socio-economic status of families, post-natal working status of mothers, caretaker person between 0-1 ages.
Genistein-induced apoptosis of human breast cancer MCF-7 cells involves calpain–caspase and apoptosis signaling kinase 1–p38 mitogen-activated protein kinase activation cascades

The molecular mechanisms of genistein-induced apoptosis of human breast cancer MCF-7 cells were investigated. Genistein showed 50% cell growth inhibition at IC50=27.5±0.8 μmol/l in 24 h incubation under 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide assay conditions. Genistein is known to express both cell growth activity at nanomolar concentrations and anti-cell growth activity at micromolar concentrations. It was found that genistein at 100 μmol/l concentration effectively induced apoptosis of MCF-7 cells in 24 h. Genistein-induced apoptosis involved activation of calpain, caspase 7 and poly(ADP ribose) polymerase. Dantrolene, an inhibitor of Ca2+ release from the endoplasmic reticulum, inhibited genistein-induced activation of calpain and caspase 7, in addition to effectively negating genistein-induced apoptosis. MCF-7 cells treated with genistein also showed increased phosphorylation of p38 mitogen-activated protein kinase, whereas no effect was observed for extracellular signal-regulating kinase 1/2. Phosphorylation of apoptosis signaling kinase 1, an upstream regulator of p38 mitogen-activated protein kinase, was also increased by genistein treatment. Genistein-induced phosphorylation of apoptosis signaling kinase 1 and p38 mitogen-activated protein kinase was diminished by the presence of dantrolene. These results suggest that genistein-induced apoptosis in MCF-7 cells is mediated through calpain–caspase 7 and apoptosis signaling kinase 1–p38 mitogen-activated protein kinase activation cascades that involve Ca2+ release from the endoplasmic reticulum.
Environmental Literacy Among Preservice Social Studies Teachers: A Review of the Nigerian Experience

This mini-survey assessed the environmental literacy level of preservice teachers in a Nigerian university through 199 social studies teacher-trainees. It found a high level of awareness/knowledge on local environmental problems but low level on global environmental issues. Although a positive disposition toward environmental issues was demonstrated, evidence of knowledge gap which could hinder environmental stewardship was also noticed. The preservice teachers did not significantly differ in their knowledge of environmental issues and problems based on gender and mode of entry but differed in disposition toward same by gender and mode of entry. Some implications for teacher education are discussed.
I Want to Be Like You Self-Regulation in the Development of the Social Self

Entering a new group provides the potential of forming a new social identity. Starting from self-regulation models, we propose that goals (e.g., internal motivation to enter the group), strategies (e.g., approach and avoidance strategies), and events (e.g., the group’s response) affect the development of the social self. In two studies we manipulated the group’s response (acceptance vs. rejection) and assessed internal motivation as well as approach and avoidance strategies. It was expected, and we found, that when newcomers are accepted, their use of approach strategies (but not avoidance strategies) facilitates social identification. In line with self-completion theory, for highly internally motivated individuals approach strategies facilitated social identification even upon rejection. The results underline the active role of newcomers in their social identity development.
An Institutional Logics Approach to the Analysis of Social Movement Fields

How do institutions generate stability within and limited diversity across social movements? To answer this question, we draw on select strands of Institutional Analysis and introduce the concept of institutional movement logics (IMLs), cultural templates made up of combinations of issues, tactics, and targets that provide social movement organizations with a focus of attention, a source of meaning and identity, and a vision of how to “do” contention. Movement organizations can be observed in clusters based on their IMLs that define the dominant set of logics within that field. In this way, IMLs account for patterns of stability and diversity within social movement fields. We provide evidence of the empirical utility of the IML approach with an analysis of Seattle’s social movement field between 1999 and 2005. Using scaling methods to elicit clusters of movement organizations by their combinations of issues, tactics, and targets, along with archival and interview data, we find that this field was structured by robust and stable partitions between three distinct IMLs. With this analysis, we advance an institutional logics approach for understanding social movements, showing how Social Movement Theory can concretely benefit from a tighter integration with Institutional Analysis.
Carnegie Mellon University bioimaging day 2014: Challenges and opportunities in digital pathology

Recent advances in digital imaging is impacting the practice of pathology. One of the key enabling technologies that is leading the way towards this transformation is the use of whole slide imaging (WSI) which allows glass slides to be converted into large image files that can be shared, stored, and analyzed rapidly. Many applications around this novel technology have evolved in the last decade including education, research and clinical applications. This publication highlights a collection of abstracts, each corresponding to a talk given at Carnegie Mellon University′s (CMU) Bioimaging Day 2014 co-sponsored by the Biomedical Engineering and Lane Center for Computational Biology Departments at CMU. Topics related specifically to digital pathology are presented in this collection of abstracts. These include topics related to digital workflow implementation, imaging and artifacts, storage demands, and automated image analysis algorithms.
Evolution by Adapting Surrogates

To deal with complex optimization problems plagued with computationally expensive fitness functions, the use of surrogates to replace the original functions within the evolutionary framework is becoming a common practice. However, the appropriate datacentric approximation methodology to use for the construction of surrogate model would depend largely on the nature of the problem of interest, which varies from fitness landscape and state of the evolutionary search, to the characteristics of search algorithm used. This has given rise to the plethora of surrogate-assisted evolutionary frameworks proposed in the literature with ad hoc approximation/surrogate modeling methodologies considered. Since prior knowledge on the suitability of the data centric approximation methodology to use in surrogate-assisted evolutionary optimization is typically unavailable beforehand, this paper presents a novel evolutionary framework with the evolvability learning of surrogates (EvoLS) operating on multiple diverse approximation methodologies in the search. Further, in contrast to the common use of fitness prediction error as a criterion for the selection of surrogates, the concept of evolvability to indicate the productivity or suitability of an approximation methodology that brings about fitness improvement in the evolutionary search is introduced as the basis for adaptation. The backbone of the proposed EvoLS is a statistical learning scheme to determine the evolvability of each approximation methodology while the search progresses online. For each individual solution, the most productive approximation methodology is inferred, that is, the method with highest evolvability measure. Fitness improving surrogates are subsequently constructed for use within a trust-region enabled local search strategy, leading to the self-configuration of a surrogate-assisted memetic algorithm for solving computationally expensive problems. A numerical study of EvoLS on commonly used benchmark problems and a real-world computationally expensive aerodynamic car rear design problem highlights the efficacy of the proposed EvoLS in attaining reliable, high quality, and efficient performance under a limited computational budget.
Prospective Memory Training in older adults

This study evaluates the results of a training program for prospective remembering. The goal of the training was to improve prospective memory by associating cues from the retrieval situation with the to be remembered information. The training group consisted of 20 participants, aged between 45 and 81 years. The effects of strategy training were compared with those of an educational training group (N = 23 , age range 45-84) directed at reducing worries about forgetfulness, and a retest control group (N = 22 , age range 46-74). The educational training and retest control groups did not differ in demographic characteristics and test performance and were combined into one control group. Subjective evaluations revealed that subjects were very satisfied with the effects of training. This also was true for subjects in the educational training condition. The objective effects of training were evaluated with a telephone task which had to be performed in the daily life situation, and a prospective categorization t.
Ovarian cancer detection by logical analysis of proteomic data

A new type of efficient and accurate proteomic ovarian cancer diagnosis systems is proposed. The system is developed using the combinatorics and optimization‐based methodology of logical analysis of data (LAD) to the Ovarian Dataset 8‐7‐02 (http://clinicalproteomics.steem.com), which updates the one used by Petricoin et al. in The Lancet 2002, 359, 572–577. This mass spectroscopy‐generated dataset contains expression profiles of 15 154 peptides defined by their mass/charge ratios (m/z) in serum of 162 ovarian cancer and 91 control cases. Several fully reproducible models using only 7–9 of the 15 154 peptides were constructed, and shown in multiple cross‐validation tests (k‐folding and leave‐one‐out) to provide sensitivities and specificities of up to 100%. A special diagnostic system for stage I ovarian cancer patients is shown to have similarly high accuracy. Other results: (i) expressions of peptides with relatively low m/z values in the dataset are shown to be better at distinguishing ovarian cancer cases from controls than those with higher m/z values; (ii) two large groups of patients with a high degree of similarities among their formal (mathematical) profiles are detected; (iii) several peptides with a blocking or promoting effect on ovarian cancer are identified.
Credit Claiming from the U.S. House

Drawing from David Mayhew’s concept of legislative credit claiming, the authors examine the ways in which male and female members of Congress engage in creditclaiming activities. Through content analysis of 116 newsletters sent out by male and female members of the 107th Congress, the authors focus on the frequency of credit claiming, the types of policy issues for which men and women most commonly take credit, and whether members of Congress share credit with other individuals or take sole credit for their accomplishments. They find that women take credit more often than do men but are more balanced in the types of issues they emphasize in their newsletters. In addition, women are less likely than men to share credit with others. These findings suggest that women are cognizant of voter stereotypes and behave in ways that counter any negative implications.
What Makes Sex Offenders Confess? An Exploratory Study

ABSTRACT This study examines correlates of offender confession in criminal sexual conduct cases involving children. The cases consist of all closed court files (N = 318), spanning the last 10 years from a single jurisdiction. This jurisdiction has a community-wide protocol for handling child sexual abuse cases, a high rate of charging (69%), a high rate of confession (64%), and high rates of pleas to sex crimes (77%). To determine what factors were associated with suspect confession before adjudication, we examined characteristics of the suspect, the child, the abuse, and the system using bi-variate and multi-variate analysis. The following four variables are associated with suspect confession: (1) having the state police conducting the law enforcement part of the investigation, (2) more serious abuse, (3) younger age of the suspect, and (4) having a court appointed (as opposed to a retained) attorney.
Analysis and Modeling of Subthreshold Leakage of RT-Components under PTV and State Variation

In this work we present a SPICE-based RTL subthreshold leakage model analyzing components built in 70nm technology. We present a separation approach regarding inter- and intra-die threshold variations, temperature, supply-voltage, and state dependence. The body-effect and differences between NMOS and PMOS introduce a leakage state dependence of one order of magnitude (Mukhopadhyay, 2003). We show that the leakage of RT-components still shows state dependencies between 20% and 80%. A leakage model not regarding the state can never be more accurate than this. The proposed state aware model has an average error of 6.7% for the RT-components analyzed
Prediction of the Jugular Venous Waveform using a Model of Cerebrospinal Fluid Dynamics

Background and Purpose: We have previously reported a model of cerebral hydrodynamics in the form of an equivalent electrical circuit. The aim of this work was to demonstrate that the model could predict venous flow patterns seen in the superior sagittal sinus, straight sinus and jugular vein in normal volunteers. Methods: An electrical equivalence model of cerebro-spinal fluid (CSF) and cerebral blood flow was fitted to measured arterial and CSF data from 16 normal volunteers. Predictions of the venous outflow waveform derived from the model were compared to measured venous flows in the superior sagittal sinus (SSS), straight sinus (STS) and jugular vein (JV). Results: The model accurately predicted the measured jugular waveform. The measured waveforms from SSS and STS showed a less pronounced and delayed systolic peak compared to the predicted outflow. The fitted bulk model parameters provided relative values that correspond approximately to the impedance of arterial capillaries (1.0), cerebral aqueduct (≈ 0), venous capillaries (≈ 0), and arteries (0.01) and for the elastic capacitance of the ventricles (4.11), capillaries (≈ 0), and veins (271). The elastic capacitance of the major cerebral arteries was large and could not be accurately determined. Conclusions: We have confirmed the ability of the model to predict the venous waveforms in normal individuals. The absence of any statistically significant component of the venous waveform not described by the model implies that measurements of venous flow could be used to constrain further the model fitting process.
Adolescent Self-Concept: Testing the Assumption of Equivalent Structure Across Gender

This study tested the invariance of a multidimensional, hierarchical self-concept (SC) structure for adolescent males and females. In a covariance structure analysis of data from a sample of 832 (412 males, 420 females) grade 11 and 12 students, with multiple measures of general, academic, English, and mathematics SC facets, SC structure differed for males and females. Although the number of SC factors, pattern of factor loadings (except for one), and hierarchical structure were invariant across gender, relations among the factors differed. These structural differences derived largely from the differential way in which English and mathematics SC related to the other SC facets, and to grades, for each sex. In addition, significant gender differences were found in the reliability of certain measurement scales, and correlated errors of measurement were more prevalent for males than for females. The study has important implications for substantive research that focuses on the comparison of SCs across groups and, in particular, across gender.
Long and Short Splice Variants of Human Tenascin Differentially Regulate Neurite Outgrowth

Tenascin-C has been implicated in regulation of neurite outgrowth both during development and after injury; however, its role as permissive vs inhibitory remains controversial. We report that different tenascin splice variants may have dramatically different impacts on neuronal growth. In a cell culture model, the largest and smallest splice variants (TN.L and TN.S) of human tenascin both promoted process extension when surface-bound. In contrast, soluble TN.S inhibited outgrowth, whereas soluble TN.L had no inhibitory effect. Perturbation experiments with antibodies, and outgrowth experiments with recombinant tenascin fragments, indicate that the differential properties of these molecules can be attributed to their distinctive array of FN-III repeats. Monoclonal antibodies were used to demonstrate at least two distinct neurite outgrowth promoting domains within the alternatively spliced region. These results suggest that the effect of tenascin on axon growth is a function of splice variants, as well as the form or conformation of those variants.
Sampling and Reconstructing Signals From a Union of Linear Subspaces

In this paper, we study the problem of sampling and reconstructing signals which are assumed to lie on or close to one of several subspaces of a Hilbert space. Importantly, we here consider a very general setting in which we allow infinitely many subspaces in infinite dimensional Hilbert spaces. This general approach allows us to unify many results derived recently in areas such as compressed sensing, affine rank minimization, analog compressed sensing and structured matrix decompositions.
Chymotrypsinogen in the intestine of rats fed soybean trypsin inhibitor and its inability to suppress pancreatic enzyme secretions.

Recent investigations have shown that intestinal trypsin and chymotrypsin exert a negative feedback control on pancreatic enzyme secretion in the rat. The present study was conducted to see if soybean trypsin inhibitor ( SBTI ) effected changes in the intestinal activities of these enzymes which could provide an explanation for the pancreatic enzyme response evoked when SBTI is fed to rats. Rats were intubated with either a control diet or diet containing SBTI. One hour after feeding, intestinal contents were removed and washed with either saline or saline containing chicken ovomucoid. Trypsin and amylase activities were determined and chymotrypsin activity was mea sured before and after incubation with trypsin. In control rats, intestinal chymotrypsin activity was not increased by incubation with trypsin. In animals fed SBTI, however, trypsin incubation increased intestinal chymotrypsin activity to 3 to 5 times the preincubation levels. Intestinal trypsin activity of rats fed SBTI was reduced to less than 10% of control values. Continuous infusion of purified bovine chymotrypsin or chymotrypsinogen into rats with a bile-pancreatic juice fistula demonstrated that while chymotrypsin suppressed pancreatic enzyme output, chymotrypsinogen did not. It was concluded, therefore, that SBTI acts to stimulate pancreatic secretion by binding intesti nal trypsin so tightly it cannot fully activate chymotrypsinogen. Since chymotrypsinogen cannot suppress pancreatic secretion, SBTI effectively removes both enzymes from the intestine. An increased pancreatic enzyme secretion is initiated because of loss of the negative feedback regulation normally exerted by the active enzymes. J. Nutr. 104: 105-110, 1974. INDEXING
Applying Uncertainty Management Theory To Employee Voice Behavior: An Integrative Investigation

Drawing on uncertainty management theory, this study integrates justice research with the elaboration likelihood model and considers employee voice behavior as a function of 3 (interpersonal, procedural, and distributive) facets of justice perceptions in combination. Specifically, a positive relationship is hypothesized between interpersonal justice and employee voice behavior, which is buffered by high procedural justice. This 2-way interaction effect is also examined to determine whether it would be mitigated by low distributive justice. Results from a sample of 395 manager–employee dyads provide support for these predictions. Furthermore, results from a supplementary analysis show that the 3-way interaction effect on employee voice behavior was more pronounced for those who had a high feeling of uncertainty (i.e., those with a shorter job tenure or occupational tenure). Theoretical and practical implications of the findings are discussed.