Miracle-dz/UniFAR-FTUs huggingface dataset:
Localization of a Portion of Extranuclear ATM to Peroxisomes*

The gene mutated in the human genetic disorder ataxia-telangiectasia codes for a protein, ATM, the known functions of which include response to DNA damage, cell cycle control, and meiotic recombination. Consistent with these functions, ATM is predominantly present in the nucleus of proliferating cells; however, a significant proportion of the protein has also been detected outside the nucleus in cytoplasmic vesicles. To understand the possible role of extra-nuclear ATM, we initially investigated the nature of these vesicles. In this report we demonstrate that a portion of ATM co-localizes with catalase, that ATM is present in purified mouse peroxisomes, and that there are reduced levels of ATM in the post-mitochondrial membrane fraction of cells from a patient with a peroxisome biogenesis disorder. Furthermore the use of the yeast two-hybrid system demonstrated that ATM interacts directly with a protein involved in the import of proteins into the peroxisome matrix. Because peroxisomes are major sites of oxidative metabolism, we investigated catalase activity and lipid hydroperoxide levels in normal and A-T fibroblasts. Significantly decreased catalase activity and increased lipid peroxidation was observed in several A-T cell lines. The localization of ATM to peroxisomes may contribute to the pleiotropic nature of A-T.
The Relationship between Trait Emotional Intelligence and Interaction with Ostracized Others' Retaliation

Background Regulation of emotions in others is distinct from other activities related to trait emotional intelligence in that only such behavior can directly change other people's psychological states. Although emotional intelligence has generally been associated with prosociality, emotionally intelligent people may manipulate others' behaviors to suit their own interests using high-level capabilities to read and manage the emotions of others. This study investigated how trait emotional intelligence was related to interacting with ostracized others who attempt retaliation. Method We experimentally manipulated whether two people were simultaneously ostracized or not by using an online ball-tossing game called Cyberball. Eighty university students participated in Cyberball for manipulating ostracism and a “recommendation game,” a variation of the ultimatum game for assessing how to interact with others who attempt retaliation, with four participants. After the recommendation game, participants rated their intention to retaliate during the game. Results People with higher interpersonal emotional intelligence were more likely to recommend that the ostracized other should inhibit retaliation and maximize additional rewards when they have a weaker intention to retaliate. However, they were more likely to recommend that the ostracized other should retaliate against the ostracizers when they have a stronger intention to retaliate. Conclusion This is the first laboratory study that empirically reveals that people with high interpersonal emotional intelligence influence others' emotions based on their own goals contrary to the general view. Trait emotional intelligence itself is neither positive nor negative, but it can facilitate interpersonal behaviors for achieving goals. Our study offers valuable contributions for the refinement of the trait emotional intelligence concept in the respect of its social function.
Three-Point Correlations in f(R) Models of Gravity

Modifications of general relativity provide an alternative explanation to dark energy for the observed acceleration of the universe. We calculate quasilinear effects in the growth of structure in f(R) models of gravity using perturbation theory. We find significant deviations in the bispectrum that depend on cosmic time, length scale and triangle shape. However the deviations in the reduced bispectrum Q for f(R) models are at the percent level, much smaller than the deviations in the bispectrum itself. This implies that three-point correlations can be predicted to a good approximation simply by using the modified linear growth factor in the standard gravity formalism. Our results suggest that gravitational clustering in the weakly nonlinear regime is not fundamentally altered, at least for a class of gravity theories that are well described in the Newtonian regime by the parameters G{sub eff} and {phi}/{psi}. This approximate universality was also seen in the N-body simulation measurements of the power spectrum by Stabenau and Jain (2006), and in other recent studies based on simulations. Thus predictions for such modified gravity models in the regime relevant to large-scale structure observations may be less daunting than expected on first principles. We discuss the many caveats that apply tomore » such predictions. « less
Imbalanced Protein Expression Patterns of Anabolic, Catabolic, Anti-Catabolic and Inflammatory Cytokines in Degenerative Cervical Disc Cells: New Indications for Gene Therapeutic Treatments of Cervical Disc Diseases

Degenerative disc disease (DDD) of the cervical spine is common after middle age and can cause loss of disc height with painful nerve impingement, bone and joint inflammation. Despite the clinical importance of these problems, in current publications the pathology of cervical disc degeneration has been studied merely from a morphologic view point using magnetic resonance imaging (MRI), without addressing the issue of biological treatment approaches. So far a wide range of endogenously expressed bioactive factors in degenerative cervical disc cells has not yet been investigated, despite its importance for gene therapeutic approaches. Although degenerative lumbar disc cells have been targeted by different biological treatment approaches, the quantities of disc cells and the concentrations of gene therapeutic factors used in animal models differ extremely. These indicate lack of experimentally acquired data regarding disc cell proliferation and levels of target proteins. Therefore, we analysed proliferation and endogenous expression levels of anabolic, catabolic, ant-catabolic, inflammatory cytokines and matrix proteins of degenerative cervical disc cells in three-dimensional cultures. Preoperative MRI grading of cervical discs was used, then grade III and IV nucleus pulposus (NP) tissues were isolated from 15 patients, operated due to cervical disc herniation. NP cells were cultured for four weeks with low-glucose in collagen I scaffold. Their proliferation rates were analysed using 3-(4, 5-dimethylthiazolyl-2)-2,5-diphenyltetrazolium bromide. Their protein expression levels of 28 therapeutic targets were analysed using enzyme-linked immunosorbent assay. During progressive grades of degeneration NP cell proliferation rates were similar. Significantly decreased aggrecan and collagen II expressions (P<0.0001) were accompanied by accumulations of selective catabolic and inflammatory cytokines (disintegrin and metalloproteinase with thrombospondin motifs 4 and 5, matrix metalloproteinase 3, interleukin-1β, interleukin-1 receptor) combined with low expression of anti-catabolic factor (metalloproteinase inhibitor 3) (P<0.0001). This study might contribute to inhibit inflammatory catabolism of cervical discs.
School Discipline, School Uniforms and Academic Performance.

Purpose – The purpose of this paper is to examine the role of school discipline in achieving academic performance. The study aims to clarify the role of permissive vis-a-vis authoritative teaching styles with an overarching hypothesis that better discipline leads to better academic performance. The authors also probe whether uniformed students have better discipline. Design/methodology/approach – The authors analyse Organisation for Economic Co-operation and Development’s Programme for International Student Assessment data on school discipline dimensions: students listening well, noise levels, teacher waiting time, students working well, class start time. Analysis of variance (ANOVA) with post hoc analysis on five geographic groups established by Baumann and Winzar (2016) was applied to test for geographic differences (Europe, Americas, Far East Asia, Rest of Asia, Anglo-Saxon cluster) in school discipline. ANOVA was further used to test for school discipline and academic performance. Third, t-tests on fi.
Adapting a Pedestrian Detector by Boosting LDA Exemplar Classifiers

Training vision-based pedestrian detectors using synthetic datasets (virtual world) is a useful technique to collect automatically the training examples with their pixel-wise ground truth. However, as it is often the case, these detectors must operate in real-world images, experiencing a significant drop of their performance. In fact, this effect also occurs among different real-world datasets, i.e. detectors' accuracy drops when the training data (source domain) and the application scenario (target domain) have inherent differences. Therefore, in order to avoid this problem, it is required to adapt the detector trained with synthetic data to operate in the real-world scenario. In this paper, we propose a domain adaptation approach based on boosting LDA exemplar classifiers from both virtual and real worlds. We evaluate our proposal on multiple real-world pedestrian detection datasets. The results show that our method can efficiently adapt the exemplar classifiers from virtual to real world, avoiding drops in average precision over the 15%.
Mycobacterium tuberculosis and the host cell inflammasome: a complex relationship

The production of IL-1β during the infection with Mycobacterium tuberculosis (Mtb) is important for successful host immune defense. In macrophages and dendritic cells the host cell inflammasome is crucial for generation of secreted IL-1β in response to Mtb infections. In these cell types Mtb infection only activates the NLRP3-inflammasome. New reports demonstrate that nitric oxide has an important function in the negative regulation of the NLRP3-inflammasome to reduce tissue damage during Mtb infections. The type I interferon, IFN-β, is induced after Mtb infections and can also suppress NLRP3-inflammasome activation. In contrast, IFN-β increases activity of the AIM2-inflammasome after infection with intracellular pathogens such as Francisella tularensis and Listeria monocytogenes. Recent results demonstrate that non-tuberculous mycobacteria but not virulent Mtb induce the AIM2-inflammasome in an IFN-β dependent matter. Indeed, Mtb inhibits AIM2-inflammasome activation via its ESX-1 secretion system. This novel immune evasion mechanism may help Mtb to allow the induction of low levels of IFN-β to suppress the NLRP3-inflammasome without activating the AIM2-inflammasome.
The 7-1-2010 Detecting Management Fraud in Public Companies

T his paper provides a methodology for detecting management fraud using basic financial data. The methodology is based on support vector machines. An important aspect therein is a kernel that increases the power of the learning machine by allowing an implicit and generally nonlinear mapping of points, usually into a higher dimensional feature space. A kernel specific to the domain of finance is developed. This financial kernel constructs features shown in prior research to be helpful in detecting management fraud. A large empirical data set was collected, which included quantitative financial attributes for fraudulent and nonfraudulent public companies. Support vector machines using the financial kernel correctly labeled 80% of the fraudulent cases and 90.6% of the nonfraudulent cases on a holdout set. Furthermore, we replicate other leading fraud research studies using our data and find that our method has the highest accuracy on fraudulent cases and competitive accuracy on nonfraudulent cases. The results validate the financial kernel together with support vector machines as a useful method for discriminating between fraudulent and nonfraudulent companies using only publicly available quantitative financial attributes. The results also show that the methodology has predictive value because, using only historical data, it was able to distinguish fraudulent from nonfraudulent companies in subsequent years.
‘Unexpected’ spelling difficulty in a 10-year-old child with good reading skills: An intervention case study

ABSTRACT We report a single-case intervention study of Alan, a child aged 10;04, who presented with spelling difficulty but good reading skills. Assessment of the potential cognitive functions underlying the spelling difficulty explored phonological abilities, visual memory and letter report. We also assessed print exposure and verbal memory. Results of analysis of spelling performance revealed an effect of word length on accuracy, and spelling errors involving omission, insertion, substitution and transposition of graphemes. Results of the literacy-related assessments indicated that Alan did not have a phonological or visual memory deficit, but he showed impaired performance in the letter-report task when asked to report all the letters in the five-item test array. On the basis of previous research, we hypothesised that Alan’s unexpectedly poor spelling was due to a graphemic buffer deficit. Two different interventions were employed: a lexical-orthographic programme, followed by one aimed at improving sublexical abilities. The results showed a significant increase in spelling accuracy after the lexical-orthographic intervention for the treated word set, and a small improvement for the untrained words that was significant at delayed post-intervention testing. The improvement was shown to persist over time. No improvement in spelling was observed after the sublexical intervention. The study emphasises the importance of a wide assessment in order to investigate cognitive processes underpinning spelling difficulty.
A PHD filter with negative binomial clutter

The Probability Hypothesis Density (PHD) filter has brought significant advances in multi-object estimation since it not only estimates the spatial distribution of a population of objects but also provides estimates about the actual object number which is unknown in many scenarios. However, strict assumptions have to be made for the framework to be practical, in particular through the choice of the distribution for target and false alarm numbers. The exponential form of the Poisson distribution, for example, offers great simplicity in the derivation of the filter, but in many applications, this assumption is very restrictive, e.g. when there is a lot of variability in the number of measurements. This paper introduces a variation of the original PHD filter which assumes a negative binomial distribution for the false alarm number. It will be demonstrated that the altered formulation of the filter simply leads to an additional factor in the update equation and that the original PHD filter is a special case of the proposed method. A Gaussian Mixture (GM) implementation of both filters is used to test and compare their performance on simulated data.
Antibodies to laminin in Chagas' disease

We have found that sera from humans with Chagas' disease and Rhesus monkeys infected with Trypanosoma cruzi contain IgM and IgG antibodies, which react with structures in a variety of connective tissues. These antibodies react with laminin but not with various other purified connective tissue components like collagen types I, III, IV, and V, fibronectin, heparan sulfate (BM-1) proteoglycan, or chondronectin. The tissue-reacting antibodies were isolated by absorption to a laminin- Sepharose column. The bound fraction contained all the tissue-reacting antibodies. These antibodies strongly stained trypomastigotes and amastigotes, but weakly stained epimastigotes. These studies show that sera from T. cruzi-infected primates contain antilaminin antibodies, which may be produced by those host in response to a laminin-like molecule present in the parasite.
JuSt – a multimodal program for treatment of insomnia in adolescents: a pilot study

Insomnia is the most prevalent sleep disorder in adolescents. A number of studies have evaluated the efficacy of the management of chronic insomnia in adults. Behavioral therapy for insomnia is the treatment of first choice, encompassing education about sleep and sleep hygiene, stimulus control, relaxation techniques, and cognitive strategies to combat nocturnal ruminations. Special programs for adolescents are lacking. In this study an age-oriented treatment program for adolescents (JuSt) was developed and evaluated. Eighteen adolescents and their parents participated in a psychological short-term treatment comprising six sessions. First results show that the treatment was well accepted by the adolescents and their parents and led to a significant reduction in sleep problems, such as sleep onset, sleep efficacy, sleep duration, and feeling rested as well as in cognitive parameters, such as ruminations and mental health. Randomized controlled studies are needed to evaluate the efficacy of this new approach to treat insomnia in adolescents.
Managerial Trading Activities and Firm Valuation : Long-Run Performance Evidence for U . S . Firms

We analyze the long-run stock market performance of U.S. firms experiencing managerial insider transactions. Our sample starts with the enforcement of the corresponding Sarbanes-Oxley legislation change in August 2003 and consists of more than 176,000 insider trades of all firms traded on NASDAQ, AMEX, and the NYSE. Our results reveal that insider buy transactions exhibit positive private information and precede short-run and long-run abnormal returns. Surprisingly, insider sales do not contain negative private information. We document that companies with insider sale transactions earn significant positive Buy-and-Hold abnormal returns until the third anniversary after insider trades. Assuming that insider sale transactions are a proxy for equity-based compensation , this finding suggests that firms with equity-based compensation outperform firms without equity-based compensation.
Three-dimensional structure of an AMPA receptor without associated stargazin/TARP proteins

Abstract Most excitatory synaptic transmissions in the central nervous system are mediated by the neurotransmitter glutamate. Binding of glutamate released from the presynaptic membrane causes glutamate receptors in the postsynaptic membrane to open, which results in a transient depolarization of the postsynaptic membrane. The AMPA (α-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid) subtype of glutamate receptors is responsible for the majority of excitatory postsynaptic currents and is thought to play a central role in synaptic plasticity. Because modulation of glutamate receptors is believed to be involved in the basic mechanism underlying information storage in the brain, the molecular architecture of native AMPA receptors (AMPA-Rs) is of great interest. Previously, we have shown that AMPA-Rs purified from the brain are tightly associated with members of the stargazin/TARP (transmembrane AMPA receptor regulatory protein) family of membrane proteins [Nakagawa et al., Nature 433 (2005), pp. 545–549]. Here, we present a three-dimensional (3D) density map of the hetero-tetrameric AMPA-R without associated stargazin/TARP proteins as determined by cryo-negative stain single-particle electron microscopy. In the absence of stargazin/TARP proteins, the density representing the transmembrane region of the AMPA-R particles is substantially smaller, corroborating our previous analysis that was based solely on projection images.
The InproTK 2012 release

We describe the 2012 release of our "Incremental Processing Toolkit" (InproTK), which combines a powerful and extensible architecture for incremental processing with components for incremental speech recognition and, new to this release, incremental speech synthesis. These components work fairly domain-independently; we also provide example implementations of higher-level components such as natural language understanding and dialogue management that are somewhat more tied to a particular domain. We offer this release of the toolkit to foster research in this new and exciting area, which promises to help increase the naturalness of behaviours that can be modelled in such systems.
Mechanism of formation, ultrastructure, and function of the cytoplasmic bridge system during morphogenesis in Volvox

The cytoplasmic bridge system that links all cells of a Volvox embryo and plays a crucial role in morphogenesis is shown to form as a result of localized incomplete cytokinesis; sometimes bridge formation occurs before other regions of the cell have begun to divide. Vesicles, believed to be derived from the cell interior, align along the presumptive cleavage furrow in the bridge-forming region. Apparently it is where these vesicles fail to fuse that bridges are formed. Conventional and high voltage transmission electron microscopy analyses confirm that bridges are regularly spaced; they possess a constant, highly ordered structure throughout cleavage and inversion. Concentric cortical striations (similar to those observed previously in related species) ring each bridge throughout its length and continue out under the plasmalemma of the cell body to abut the striations of neighboring bridges. These striations are closely associated with an electron-dense material that coats the inner face of the membrane throughout the bridge region and appears to be thickest near the equator of each bridge. In addition to the parallel longitudinal arrays of cortical microtubules that traverse the cells, we observed microtubules that angle into and through the bridges during cleavage; however, the latter are not seen once inversion movements have begun. During inversion, bridge bands undergo relocation relative to the cell bodies without any loss of integrity or change in bridge spacing. Observation of isolated cell clusters reveals that it is the sequential movement of individual cells with respect to a stationary bridge system, and not actual movement of the bridges, that gives rise to the observed relocation.
Building a conceptual framework for mobile transaction in Saudi Arabia: A user's perspective

Globally, electronic commerce (e-commerce) activity is going through a stage of rapid growth driven by mobile services. Recently, there has been a rapid increase in data gathering via the web, and some people believe that the best alternative for the PC-web is the mobile web as it enables almost all business to be done through this means. While there is progress in mobile technologies and an increasingly high penetration rate of mobile communication services in Saudi Arabia, yet there is reluctance within Saudi society to take advantage of the opportunities now offered. By analysing and discussing the author's prior research, this paper aims to understand the factors that influence the acceptance of mobile transaction (m-transaction), and to build the conceptual framework of the intention to use m-transaction in Saudi Arabia. It also summarizes the factors that should have a significant impact in the intention and use of m-transaction from a consumer's perspective. The results show that there are 11 factors that have the most significant influence on the acceptance and adoption of m-transaction in Saudi Arabia, includes ease of use, navigational structure, visual appeal, usefulness, ICT infrastructure, security, trust, culture, cost, government m-readiness, and social influence.