Miracle-dz/UniFAR-FTUs huggingface dataset:
Increased Membrane Cholesterol in Lymphocytes Diverts T-Cells toward an Inflammatory Response

Cell signaling for T-cell growth, differentiation, and apoptosis is initiated in the cholesterol-rich microdomains of the plasma membrane known as lipid rafts. Herein, we investigated whether enrichment of membrane cholesterol in lipid rafts affects antigen-specific CD4 T-helper cell functions. Enrichment of membrane cholesterol by 40–50% following squalene administration in mice was paralleled by an increased number of resting CD4 T helper cells in periphery. We also observed sensitization of the Th1 differentiation machinery through co-localization of IL-2Rα, IL-4Rα, and IL-12Rβ2 subunits with GM1 positive lipid rafts, and increased STAT-4 and STAT-5 phosphorylation following membrane cholesterol enrichment. Antigen stimulation or CD3/CD28 polyclonal stimulation of membrane cholesterol-enriched, resting CD4 T-cells followed a path of Th1 differentiation, which was more vigorous in the presence of increased IL-12 secretion by APCs enriched in membrane cholesterol. Enrichment of membrane cholesterol in antigen-specific, autoimmune Th1 cells fostered their organ-specific reactivity, as confirmed in an autoimmune mouse model for diabetes. However, membrane cholesterol enrichment in CD4+ Foxp3 + T-reg cells did not alter their suppressogenic function. These findings revealed a differential regulatory effect of membrane cholesterol on the function of CD4 T-cell subsets. This first suggests that membrane cholesterol could be a new therapeutic target to modulate the immune functions, and second that increased membrane cholesterol in various physiopathological conditions may bias the immune system toward an inflammatory Th1 type response.
Modulation of Spatiotemporal Dynamics of Binocular Rivalry by Collinear Facilitation and Pattern-dependent Adaptation

The role of collinear facilitation was investigated to test predictions of a model for traveling waves of dominance during binocular rivalry (H. Wilson, R. Blake, & S. Lee, 2001). In Experiment 1, we characterized traveling wave dynamics using a recently developed technique called periodic perturbation (M.-S. Kang, D. Heeger, & R. Blake, 2009). Results reveal that the propagation speed of waves for a collinear stimulus increased regardless of whether that stimulus was suppressed (replicating earlier work) or dominant; this latter finding is contrary to the model's prediction. In Experiment 2, we measured perceptual dominance durations within a localized region in the center of two rival stimuli that varied in degree of collinearity. Results reveal that increased collinearity did not change average dominance durations regardless of the rivalry phase of the stimulus, again contrary to the model's prediction. Incorporating pattern-dependent modulation of adaptation rate into the model accounted for results from both experiments. Using model simulations, we show how interactions between collinear facilitation and pattern-dependent adaptation may influence the dynamics of binocular rivalry. We also discuss alternative interpretations of our findings, including the possible role of surround suppression. Modulation of spatiotemporal dynamics of binocular rivalry by collinear facilitation and pattern-dependent adaptation.
A Mathematical Programming Approach to the Kernel Fisher Algorithm

We investigate a new kernel-based classifier: the Kernel Fisher Discriminant (KFD). A mathematical programming formulation based on the observation that KFD maximizes the average margin permits an interesting modification of the original KFD algorithm yielding the sparse KFD. We find that both, KFD and the proposed sparse KFD, can be understood in an unifying probabilistic context. Furthermore, we show connections to Support Vector Machines and Relevance Vector Machines. From this understanding, we are able to outline an interesting kernel-regression technique based upon the KFD algorithm. Simulations support the usefulness of our approach.
The interrelationship among critical thinking, writing an argumentative essay in an L2 and their subskills

This study investigated the relationship between critical thinking and the writing ability of Iranian EFL learners, and the interrelationship among the subskills of the two constructs. Furthermore, it aimed at finding which skills of critical thinking predicted the participants’ writing ability. To this end, 104 students majoring in English Language took the California Critical Thinking Skills Test and the Writing section of the IELTS test which required them to develop a piece of argumentative writing. Their writings were scored by two experts against the four subskills dictated by the IELTS test rubrics. The results indicated a significant correlation between critical thinking and writing ability of the participants. Moreover, among the subskills of writing ability, only organisation was correlated with certain subskills of critical thinking. The results of multiple regression analysis revealed that among the five components of critical thinking, analysis and evaluation turned out to be stronger predictors of writing ability.
Energy Issues Affecting Corn/Soybean Systems:Challenges for Sustainable Production

Quantifying energy issues associated with agricultural systems, even for a two-crop corn (Zea mays L.) and soybean (Glycine max [L.] Merr.) rotation, is not a simple task. It becomes even more complicated if the goal is to include all aspects of sustainability (i.e., economic, environmental, and social). This Issue Paper examines energy issues associated with and affecting corn/soybean rotations by first defining the size of the system from both a U.S. and global perspective and then establishing boundaries based on the Farm Bill definition of sustainability. This structured approach is essential to help quantify energy issues within corn/soybean systems that are themselves best described as “systems This material is based upon work supported by the U.S. Department of Agriculture’s (USDA) National Institute for Food and Agriculture (NIFA) Grants No. 201038902-20899, No. 2009-38902-20041, and No. 2008-38902-19327. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the views of USDA–NIFA. The corn/soybean production system models the complexities involved in the generation, supply, distribution, and use of energy. (Photo images from Shutterstock.) Energy Issues Affecting Corn/Soybean Systems: Challenges for Sustainable Production of systems” or even “systems within ecosystems” because of their complex linkages to global food, feed, and fuel production. Two key economic challenges at the field and farm scale for decreasing energy use are (1) overcoming adoption barriers that currently limit implementation of energy-conserving production practices and (2) demonstrating the viability of sustainable bioenergy feedstock production as part of a landscape management plan focused not only on corn/soybean production but on all aspects of soil, water, and air resource management. It is also important to look beyond direct energy consumption to address the complex economics affecting energy issues associated with corn/soybean systems. To help address the complex energy issue, life cycle assessment is used as a tool to evaluate the impact of what many characterize as a simple production system. This approach demonstrates the importance of having accurate greenhouse gas and soil organic carbon information for these analyses to be meaningful. Traditional and emerging market and policy forces affecting energy issues within corn/soybean systems are examined to project the effects of increasing bioenergy demand associated with the Energy Independence and Security Act of 2007. Uncertainty with regard to biofuel policy is a major factor affecting energy issues in all aspects of agriculture. This uncertainty affects investments in biofuel production and energy demand, which together influence commodity prices,
Generalized Kac-Moody algebras from CHL dyons

We provide evidence for the existence of a family of generalized Kac-Moody (GKM) superalgebras, N, whose Weyl-Kac-Borcherds denominator formula gives rise to a genus-two modular form at level N, Δk/2(Z), for (N, k) = (1, 10), (2, 6), (3, 4), and possibly (5, 2). The square of the automorphic form is the modular transform of the generating function of the degeneracy of CHL dyons in asymmetric N-orbifolds of the heterotic string compactified on T6. The new generalized Kac-Moody superalgebras all arise as different `automorphic corrections' of the same Lie algebra and are closely related to a generalized Kac-Moody superalgebra constructed by Gritsenko and Nikulin. The automorphic forms, Δk/2(Z), arise as additive lifts of Jacobi forms of (integral) weight k/2 and index 1/2. We note that the orbifolding acts on the imaginary simple roots of the unorbifolded GKM superalgebra, 1, leaving the real simple roots untouched. We anticipate that these superalgebras will play a role in understanding the `algebra of BPS states' in CHL compactifications.
Work-life and life-work conflicting croatian companies: Some perspectives

With the rapid use of new technologies and longer working hours, balancing work and one’s personal life is becoming more important from the employees’ and employers’ perspective. Research suggests that employees who have greater work-life balance perform better and are less likely to leave the organization. Additionally, the satisfaction and balance of life and work also becomes a predictor of job satisfaction and productivity in the workplace. When organizations put increasing pressure on their employees and do not manage the above mentioned balances appropriately, work-life conflict may appear. Work-life and life-work conflict consequently negatively affects employees, as well as their employers. To analyze which antecedents can predict work-life balance and conflict in Croatian companies an online survey was conducted on a sample of 107 respondents. The results showed that work stress factors, job satisfaction, work-life balance company policies, and level of self-esteem influence worklife and life-work conflict.
Deterministic Global Optimization for Dynamic Systems Using Interval Analysis

A new approach is described for the deterministic global optimization of dynamic systems, including problems in parameter estimation and optimal control. The method is based on interval analysis and Taylor models, and employs a sequential approach using a type of branch-and-reduce strategy. A key feature of the method is the use of a new validated solver for parametric ODEs, which is used to produce guaranteed bounds on the solutions of dynamic systems with interval-valued parameters. This is combined with a new technique for domain reduction based on using Taylor models in an efficient constraint propagation scheme. The result is that problems can be solved to global optimality with both mathematical and computational certainty. Examples are presented to demonstrate the computational efficiency of the method.
The efficient computation of Fourier transforms on the symmetric group

This paper introduces new techniques for the efficient computation of Fourier transforms on symmetric groups and their homogeneous spaces. We replace the matrix multiplications in Clausen's algorithm with sums indexed by combinatorial objects that generalize Young tableaux, and write the result in a form similar to Horner's rule. The algorithm we obtain computes the Fourier transform of a function on S n in no more than 3/4n(n-1)|S n | multiplications and the same number of additions. Analysis of our algorithm leads to several combinatorial problems that generalize path counting. We prove corresponding results for inverse transforms and transforms on homogeneous spaces.
Extensions of recurrent neural network language model

We present several modifications of the original recurrent neural network language model (RNN LM). While this model has been shown to significantly outperform many competitive language modeling techniques in terms of accuracy, the remaining problem is the computational complexity. In this work, we show approaches that lead to more than 15 times speedup for both training and testing phases. Next, we show importance of using a backpropagation through time algorithm. An empirical comparison with feedforward networks is also provided. In the end, we discuss possibilities how to reduce the amount of parameters in the model. The resulting RNN model can thus be smaller, faster both during training and testing, and more accurate than the basic one.
Iran on the news – exploring videos’ effects on potential tourists

ABSTRACT While previous tourism studies on the visual have tended to focus on the analysis of photos, only recently videos have received more attention by tourism scholars. Within the emerging tourism literature on videos, little has been written on the videos produced and shared by online news and documentary networks and their persuasive effects on potential tourists’ perceptions about a destination. By focusing on Iran, this work investigates whether videos produced and shared by online news and documentary networks influence viewers’ perceptions about the country and their willingness to travel to the country. This study employs semi-structured, in-depth interviews to explore the meanings and interpretations attached to two videos about Iran, which were produced and shared by an Iranian online news and documentary network. A total of 15 participants, including a film producer and 14 respondents as audience were interviewed. Overall, the findings of this study highlight that the videos’ interpretations by the participants were multiple and often diverged from the producer’s intentions. Moreover, although the videos were perceived as tools produced to attract tourists, they were not regarded as sufficiently persuasive to totally change previously formed images about Iran and create a strong desire to visit the country.
“I Can't Talk Now, I'm in a Fitting Room”: Formulating Availability and Location in Mobile-Phone Conversations

In this paper I investigate the ways in which participants in mobile-phone conversations orient to each other's location, activities, and availability. By looking at data from recorded mobile-phone conversations, I use a conversation analytic approach to make initial observations on the character of mobile-phone conversations. I found that the frequent question “what are you doing? ” sometimes caused a location to be given as part of the answer which shows how location, activity, and availability are strongly related. The participants thus obtained information about location, when this was considered relevant, through asking about activity. Location seemed especially relevant if it provided information about a future meeting. In some of the conversations where it seemed there was something going on where the ‘called party’ was located, the ‘caller’ reacted by initiating the conversation with a strategy which gave the called party a chance to end the conversation.
A Modified National Institutes of Health Stroke Scale for Use in Stroke Clinical Trials: Preliminary Reliability and Validity

Background and Purpose— The National Institutes of Health Stroke Scale (NIHSS) is accepted widely for measuring acute stroke deficits in clinical trials, but it contains items that exhibit poor reliability or do not contribute meaningful information. To improve the scale for use in clinical research, we used formal clinimetric analyses to derive a modified version, the mNIHSS. We then sought to demonstrate the validity and reliability of the new mNIHSS. Methods— The mNIHSS was derived from our prior clinimetric studies of the NIHSS by deleting poorly reproducible or redundant items (level of consciousness, face weakness, ataxia, dysarthria) and collapsing the sensory item into 2 responses. Reliability of the mNIHSS was assessed with the certification data originally collected to assess the reliability of investigators in the National Institute of Neurological Disorders and Stroke (NINDS) rtPA (recombinant tissue plasminogen activator) Stroke Trial. Validity of the mNIHSS was assessed with the outcome results of the NINDS rtPA Stroke Trial. Results— Reliability was improved with the mNIHSS: the number of scale items with poor &kgr; coefficients on either of the certification tapes decreased from 8 (20%) to 3 (14%) with the mNIHSS. With the use of factor analysis, the structure underlying the mNIHSS was found identical to the original scale. On serial use of the scale, goodness of fit coefficients were higher with the mNIHSS. With data from part I of the trial data, the proportion of patients who improved ≥4 points within 24 hours after treatment was statistically significantly increased by tPA (odds ratio, 1.3; 95% confidence limits, 1.0, 1.8;P =0.05). Likewise, the odds ratio for complete/nearly complete resolution of stroke symptoms 3 months after treatment was 1.7 (95% confidence limits, 1.2, 2.6) with the mNIHSS. Other outcomes showed the same agreement when the mNIHSS was compared with the original scale. The mNIHSS showed good responsiveness, ie, was useful in differentiating patients likely to hemorrhage or have a good outcome after stroke. Conclusions— The mNIHSS appears to be identical clinimetrically to the original NIHSS when the same data are used for validation and reliability. Power appears to be greater with the mNIHSS with the use of 24-hour end points, suggesting the need for fewer patients in trials designed to detect treatment effects comparable to rtPA. The mNIHSS contains fewer items and might be simpler to use in clinical research trials. Prospective analysis of reliability and validity, with the use of an independently collected cohort, must be obtained before the mNIHSS is used in a research setting.
Self-Reported Dietary Restrictions and Dietary Patterns in Polish Girls: A Short Research Report (GEBaHealth Study)

Dietary restraint is a commonly reported practice observed among young females. The practice remains controversial and can be interpreted as a beneficial self-regulating behavior or the opposite, an eating disorder that may have a detrimental effect on health. The aim of this short report was to investigate if dietary restrictions are associated with dietary patterns in a representative sample of Polish girls. Analyses were carried out on data from the Girls’ Eating Behavior and Health (GEBaHealth) study. The sample included 1107 girls, ranging in age from 13 to 21 years old. Restrictions regarding food quantities and selected food groups were assessed using a standardized interview. Dietary patterns were identified with Principal Component Analysis (PCA), based on dietary data collected with Food Frequency Questionnaires (FFQs). Logistic regression analysis was used to study the associations between self-reported restrictions and each dietary pattern. In the total sample, 30.5% of girls reported following some food restrictions. The most common restrictions regarded consumption of sugar and/or sweets (23.7%), high-fat foods (22.4%), and fats (21.3%). Girls who declared following any restrictions, restrictions in food quantity and restrictions in the consumption of sugar and/or sweets, high-fat foods, fats, cereals and/or bread and/or potatoes were more likely to adhere to the “fruit and vegetables” (considered pro-healthy) dietary pattern (adjusted odds ratios (ORs): 1.55, 95% CI: 1.14–2.12; 1.61, 95% CI: 1.17–2.21; 1.81, 95% CI: 1.30–2.52; 1.46, 95% CI: 1.04–2.06; 1.96, 95% CI: 1.38–2.80 and 3.25, 95% CI: 1.97–5.37, respectively), and less likely to adhere to the “fast foods and sweets” (unhealthy) and “traditional Polish” (rather unhealthy) patterns, compared to girls who declared no restrictions. Declared restrictions in the consumption of foods high in sugar, fat, and starch were observed in girls in the “fruit and vegetables” pattern and were uncommon in girls with unhealthy dietary patterns. Although cautious interpretation is needed when considering restrictions in the overall quantity of food consumed, the results indicate that dietary restrictions of sugar, high-fat foods, fats, and starch may be considered predictors of both pro-healthy and unhealthy dietary patterns in the population of Polish girls.
Lay Judgments of Judicial Decision Making

This study examined laypeople's evaluations of judicial decision making, specifically of the judicial decision‐making process and the judiciary's legitimacy. Seven‐hundred participants were presented with three judicial decisions, which were portrayed as following on the heels of solid and appropriate legal procedure. Each decision was accompanied by one of four types of reasoning. Participants were asked to evaluate the acceptability of the decisions, focusing on the manner in which they were made and to evaluate the legitimacy of the decisionmaker, all regardless of their outcomes. The study yielded four findings. First, laypeople's judgments were highly contingent on the outcome of the judges' decisions. Consistent with the theory of motivated reasoning, participants found the decisions highly acceptable when they agreed with the judges' decision, but deemed them relatively unacceptable when they disagreed with them. Second, participants were indifferent to the modes of reasoning offered by the judges when they agreed with the outcomes of the decisions, but were differentially sensitive to the modes of reasoning when the judges' decisions frustrated their preferred outcomes. Third, when participants were sensitive to the modes of reasoning, they gave higher ratings of acceptability to decisions that openly admitted to good reasons on both sides of the case as compared with decisions accompanied by reasons that supported one side of the case exclusively. Giving no reasons at all was found to be more acceptable than giving a single, curt reason. Fourth, the findings replicated the coherence effect. Implications for the legitimacy of the judiciary are discussed.
Cross-spectral Analysis of tremor Time Series

We discuss cross-spectral analysis and report applications for the investigation of human tremors. For the physiological tremor in healthy subjects, the analysis enables to determine the resonant contribution to the oscillation and allows to test for a contribution of reflexes to this tremor. Comparing the analysis of the relation between the tremor of both hands in normal subjects and subjects with a rare abnormal organization of certain neural pathways proves the involvement of central structures in enhanced physiological tremor. The relation between the left and the right side of the body in pathological tremor shows a specific difference between orthostatic and all other forms of tremor. An investigation of EEG and tremor in patients suffering from Parkinson's disease reveals the tremor-correlated cortical activity. Finally, the general issue of interpreting the results of methods designed for the analysis of bivariate processes when applied to multivariate processes is considered. We discuss and apply partial cross-spectral analysis in the frame of graphical models as an extention of bivariate cross-spectral analysis for the multivariate case.