Miracle-dz/UniFAR-FTUs huggingface dataset:
Overexpression of SMAR1 Enhances Radiosensitivity in Human Breast Cancer Cell Line MCF7 via Activation of p53 Signaling Pathway

This study sought to investigate the effect of overexpression of SMAR1 (scaffold/matrix-associated region-binding protein 1) on cell radiosensitivity in breast cancer, as well as elucidate its regulatory mechanism. We constructed a lentiviral expression system to successfully overexpress SMAR1 in human breast cancer cell line MCF7. In addition, overexpression of SMAR1 in MCF7 cells enhanced the radiosensitivity to 89SrCl2. Moreover, overexpression of SMAR1 significantly induced cell apoptosis rate and G2/M phase arrest under the irradiation of 89SrCl2. In addition, Western blot analysis showed that overexpression of SMAR1 in MCF cells significantly increased the expression levels of pP53 (ser15), pP53 (ser20), acP53, and p21 and obviously decreased the expression of MDM2 under the irradiation of 89SrCl2. Notably, these expression changes could be neutralized by PFTα, an inhibitor of p53 signaling pathway that could inhibit p53-dependent transactivation of p53-responsive genes. Therefore, overexpression of SMAR1 may increase radiosensitivity to 89SrCl2 in breast cancer cell line MCF7 by p53-dependent G2/M checkpoint arrest and apoptosis. Enhanced expression of SMAR1 in tumors will help to improve the clinical efficiency of radiation therapy.
An improved ant colony optimization algorithm for the vehicle routing problems with time windows

This paper presents an improved scheme for the vehicle routing problems with time windows based on ant colony optimization algorithm. The new scheme makes the change of heuristic message fast and speeds the convergence process by improving updating method of global pheromone and visibility strategy. Simulation results from eight groups of vehicle transportation case show that the new scheme performs better in vehicle routing problems. It can reduce the iteration times and make optimization solution in a short time.
Learning in and beyond small business advisory programmes

The purpose of this paper is to analyse how participants learn in small business advisory programmes and to explore the impact of these learning programmes on the development of reflective learning dispositions in participants. The research involves two case studies of small business advisory programmes in Queensland, a state of Australia. One involves training in the use of GPS/GIS technology amongst rural SMEs and the other seeks to develop improved management and operational capabilities in regional and metropolitan manufacturing SMEs. Face to face semi-structured interviews were conducted throughout rural, regional and metropolitan Queensland with participants, trainers and senior executives in the administering organisations that ran the programmes. Learning in these programmes occurs through a combination of interaction with others and the adoption of practice-based and learner-centred processes. The impact of the programmes on participants includes the development of reflective learning dispositions, improved confidence in learning and appreciation of the value of new knowledge to their business. The research suggests that small business training programmes have the potential to affect the development of critical reflective learning dispositions in participants which is of fundamental importance to the development of a learning or knowledge economy.
Transcriptional Regulation in the Streptococcus pneumoniae rlrA Pathogenicity Islet by RlrA

ABSTRACT The proper temporal expression of virulence genes during infection is crucial to the infectious life cycle of microbial pathogens, particularly in pathogens that encounter a multitude of environments in eukaryotic hosts. Streptococcus pneumoniae normally colonizes the nasopharynges of healthy adults but can cause a range of diseases at a variety of host sites. Transcriptional regulators that are essential for full virulence of S. pneumoniae in different animal models have been identified. One such regulator, rlrA, is required for colonization of the nasopharynx and lung infection but is dispensable for systemic infection. Previous work has shown that rlrA lies in a 12-kb pathogenicity islet, divergently opposed to three putative sortase-anchored surface proteins and three sortase enzymes. In addition to rlrA, one of the putative surface proteins and one of the sortases have also been shown to be essential for lung infection. In this work, we demonstrate that RlrA is a positive regulator of all seven genes in the rlrA pathogenicity islet, with transcriptional activation occurring at four different promoters in the islet with AT-rich sequences. These promoters direct the expression of rlrA itself, the three sortases, rrgA, and rrgBC. These data are consistent with the model whereby the rlrA pathogenicity islet acts in an autonomous manner to alter the bacterial surface components that interact with the pulmonary and nasopharyngeal environments.
Achieving Compactness Generically: Indistinguishability Obfuscation from Non-Compact Functional Encryption

We show how to construct indistinguishability obfuscation (iO) for circuits from any noncompact functional encryption (FE) scheme with sub-exponential security against unbounded collusions. We accomplish this by giving a generic transformation from any such FE scheme into a compact FE scheme. By composing this with the transformation from sub-exponentially secure compact FE to iO (Ananth and Jain [CRYPTO’15], Bitansky and Vaikuntanathan [FOCS’15]), we obtain our main result. Our result provides a new pathway to iO. For example, by combining our result with the FE scheme of Garg et al. [ePrint 2014/666], we obtain a new construction of iO based on the sub-exponential GGHZ assumption over composite-order multilinear maps. We also identify a “simple” function family for FE that suffices for our general result. We show that the function family Fsimple is complete, where every fsimple ∈ Fsimple consists of three evaluations of a Weak PRF followed by finite operations. We believe that this may be useful for realizing iO from weaker assumptions in the future. ∗Center for Encrypted Functionalities and Department of Computer Science, UCLA. prabhanjan@cs.ucla. edu This work was partially supported by a grant from the Simons Foundation (#360584 to Prabhanjan Ananth). †Department of Computer Science, John Hopkins University. abhishek@cs.jhu. edu. Research supported in part from a DARPA/ARL SAFEWARE award and NSF CNS-1414023. ‡Center for Encrypted Functionalities and Department of Computer Science, UCLA. sahai@cs.ucla. edu. Research supported in part from a DARPA/ONR PROCEED award, a DARPA/ARL SAFEWARE award, NSF Frontier Award 1413955, NSF grants 1228984, 1136174, 1118096, and 1065276, a Xerox Faculty Research Award, a Google Faculty Research Award, an equipment grant from Intel, and an Okawa Foundation Research Grant. This material is based upon work supported by the Defense Advanced Research Projects Agency through the U.S. Office of Naval Research under Contract N00014-11-1-0389. The views expressed are those of the author and do not reflect the official policy or position of the Department of Defense, the National Science Foundation, or the U.S. Government.
The effects of lexical stress in aphasic word production

This paper investigates the effects of lexical stress pattern on speech production by aphasic subjects. The subjects are more accurate at producing words with first syllable stress than those with stress on the second syllable in both word and non-word repetition and picture naming. The subjects' accuracy in repetition is unaffected by the stress pattern of a preceding word in a phrase, but strongly affected by the phrase's syllable length. With three-syllable words, subjects are most accurate in both repetition and naming with words whose primary stress falls on either the first or the third syllable. Explanations of these results in terms of the vulnerability of initial unstressed syllables, or simple frequency-dependent stress assignment strategies, are rejected. Instead it is argued that an utterance's segmental and metrical structure are computed in parallel, but the computation requires resources that are limited in subjects who make phonological errors in speech production.
Ensemble Learning for Confidence Measures in Stereo Vision

With the aim to improve accuracy of stereo confidence measures, we apply the random decision forest framework to a large set of diverse stereo confidence measures. Learning and testing sets were drawn from the recently introduced KITTI dataset, which currently poses higher challenges to stereo solvers than other benchmarks with ground truth for stereo evaluation. We experiment with semi global matching stereo (SGM) and a census data term, which is the best performing real-time capable stereo method known to date. On KITTI images, SGM still produces a significant amount of error. We obtain consistently improved area under curve values of sparsification measures in comparison to best performing single stereo confidence measures where numbers of stereo errors are large. More specifically, our method performs best in all but one out of 194 frames of the KITTI dataset.
Discrete Generation of Superoxide and Hydrogen Peroxide by T Cell Receptor Stimulation

Receptor-stimulated generation of reactive oxygen species (ROS) has been shown to regulate signal transduction, and previous studies have suggested that T cell receptor (TCR) signals may involve or be sensitive to ROS. In this study, we have shown for the first time that TCR cross-linking induced rapid (within 15 min) generation of both hydrogen peroxide and superoxide anion, as defined with oxidation-sensitive dyes, selective pharmacologic antioxidants, and overexpression of specific antioxidant enzymes. Furthermore, the data suggest the novel observation that superoxide anion and hydrogen peroxide are produced separately by distinct TCR-stimulated pathways. Unexpectedly, TCR-stimulated activation of the Fas ligand (FasL) promoter and subsequent cell death was dependent upon superoxide anion, but independent of hydrogen peroxide, while nuclear factor of activated T cells (NFAT) activation or interleukin 2 transcription was independent of all ROS. Anti-CD3 induced phosphorylation of extracellular signal–regulated kinase (ERK)1/2 required hydrogen peroxide generation but was unaffected by superoxide anion. Thus, antigen receptor signaling induces generation of discrete species of oxidants that selectively regulate two distinct redox sensitive pathways, a proapoptotic (FasL) and a proliferative pathway (ERK).
The characteristics and distribution of dental anomalies in patients with cleft.

BACKGROUND Dental anomalies associated with different severities of cleft lip and palate have been rarely reported. This retrospective study investigates the characteristics of dental anomalies associated with different types of cleft, and compares the dental anomaly traits based on sex and severity of cleft. METHODS Cleft patients born in 1995 with qualified diagnostic records from 7 to 11 years were included for evaluation. Records were retrieved from database of Chang Gung Craniofacial Center, including panoramic radiographs and intraoral photographs. In total, 196 patients with complete records were included in the evaluation. This study compares the dental anomalies associated with each type of cleft. RESULTS The frequency of dental anomalies in the maxillary incisor area in the cleft palate (CP) group (20%) was significantly lower than that in other groups. The frequency of missing maxillary lateral incisors (MLIs) increased as the cleft severity increased. Supernumerary teeth and missing lower incisors exhibited the opposite trend. No sexual dimorphism appeared in terms of the frequencies of peg laterals and missing MLIs. The distribution patterns of missing MLIs and peg laterals in males, but not in females, were consistent for the three types of unilateral clefts. CONCLUSION Regarding the characteristics of dental anomalies among the three unilateral clefts, missing MLIs, supernumerary teeth, and missing lower incisors were found to be related to cleft severity. The maxillary lateral incisor was the most affected tooth in the cleft area. The frequency of missing MLIs and peg laterals was not sexual dimorphic, but the distribution pattern was different between the sexes.
Racioethnic Diversity and Group Members’ Experiences

This study examines the effects of a group’s racioethnic diversity on its members’ experiences in two organizational contexts: one that is relatively heterogeneous in racioethnicity and another that is more homogeneous. Additionally, this study examines the effects of diversity on the deeper level trait of collectivism, in both contexts. The authors propose that the extent of racioethnic diversity in the organizational context will determine whether group members pay attention and react to racioethnic category differences or focus on deeper level differences in values and attitudes within their groups. Consistent with this notion, it was found that a group’s racioethnic diversity has stronger negative effects on its members’ experiences in the more homogeneous context than in the more heterogeneous one. The authors also found that a group’s diversity in collectivism has significant negative effects on its members’ experiences in the more heterogeneous context but not in the more homogeneous one.
The trouble with normal: the struggle for meaningful access for middle school students with developmental disability labels

This critical, qualitative study considers issues of access to the academic and social experiences of middle school for five students with labels of intellectual disability and autism through a lens of ableism and enforced ‘normalcy’. Starting from the position that schools are sites where ableist norms of performance leave many marginalized, this study privileges the perspective of individuals whose inclusion in school is most tenuous. Challenging the notion that mere access to general education classrooms and instruction is enough, this study interrogates questions of efficiency and meaningful engagement within the context of middle school. This paper first illustrates the ways that ableism pervades middle school settings and then outlines a typology of particular ways of being and performing that are privileged and an illusion of normalcy maintained. Finally, this article explores the implications of ableism and enforced normalcy on the engagement and participation of students considered to have developmental disabilities.
Stem Cell Scientists' Discursive Strategies for Cognitive Authority

In 2001 the UK's Human Fertilisation and Embryology Authority changed its regulations to permit the use of human embryos in stem cell research (SCR). Policy-related debates highlighted that questions regarding the meaning and status of embryos or the implications of creating cloned humans cannot be resolved solely by technical expertise and therefore imply the involvement of diverse people with diverse (and often competing) perspectives. This situation poses a practical and political challenge for stem cell scientists, potentially challenging their privileged status in guiding science policy or public discourse by undermining their cognitive authority as knowledge producers par excellence. Yet, scientists do not readily relinquish their cognitive authority and the privileges accorded to this position but instead are continually engaged in boundary-work. With such high stakes, it is important to ask: what discursive strategies do stem cell scientists adopt when seeking to defend their cognitive authority in response to competing claims from multiple actors? In seeking to preserve their cognitive authority, stem cell scientists take on multiple roles in relation to multiple boundaries simultaneously in public debates about SCR. Reframing the embryo question as a technical issue rather than a societal one maintains the cognitive authority of (some) stem cell scientists, while expelling others. This strategy of scientisation operates in stark contrast to processes of politicisation involved when distinguishing embryonic SCR from human reproductive cloning. These multiple discursive practices coalesce, constituting a powerful argument supporting embryonic SCR and contribute to the ongoing expansion of embryonic SCR.
Effects of other-profitability and self-profitability on evaluative judgements of behaviours

Behaviours are judged by their causes (i.e. the actor's intentions) as well as by their consequences. The present study focuses on the effects of the latter. Subjects judged behaviours that were either socially good, socially bad, competent, or incompetent. The consequences of the behaviours were either (a) personal consequences for the actor, (b) interpersonal consequences for others, or (c) not mentioned. Behaviours with interpersonal consequences were judged more extremely than with personal consequences. When no consequences were mentioned, the behaviours were rated similarly as in the condition with interpersonal consequences. These effects emerged regardless of behaviour valence (positive versus negative) and dimension (social versus competence-related). The results suggest that others' behaviours are judged primarily by their interpersonal implications, and that observers take the perspective of those whose outcomes may be affected by the actor.
Association between S100B Levels and Long-Term Outcome after Aneurysmal Subarachnoid Hemorrhage: Systematic Review and Pooled Analysis

S100 calcium binding protein B (S100B), a well-studied marker for neurologic injury, has been suggested as a candidate for predicting outcome after subarachnoid hemorrhage. We performed a pooled analysis summarizing the associations between S100B protein in serum and cerebrospinal fluid (CSF) with radiographic vasospasm, delayed ischemic neurologic deficit (DIND), delayed cerebral infarction, and Glasgow Outcome Scale (GOS) outcome. A literature search using PubMed, the Cochrane Library, and the EMBASE databases was performed to identify relevant studies published up to May 2015. The weighted Stouffer’s Z method was used to perform a pooled analysis of outcome measures with greater than three studies. A total of 13 studies were included in this review. Higher serum S100B level was found to be associated with cerebral infarction as diagnosed by CT (padj = 3.1 x 10−4) and worse GOS outcome (padj = 5.5 x 10−11). There was no association found between serum and CSF S100B with radiographic vasospasm or DIND. S100B is a potential prognostic marker for aSAH outcome.
Fuzzy User Profile Modeling for Information Retrieval

Given the continued growth in the number of documents available in the social Web, it becomes increasingly difficult for a user to find relevant resources satisfying his information need. Personalization seems to be an efficient manner to improve the retrieval engine effectiveness. In this paper we introduce a personalized image retrieval system based on user profile modeling depending on userâs context. The context includes user comments, rates, tags and preferences extracted from social network. We adopt a fuzzy logic-based user profile modeling due to its flexibility in decision making since user preference are always imprecise. The user has to specify his initial need description by rating concepts and contexts he is interested in. Concepts and contexts are weighted by the user by associating a score and these scores will infer in our fuzzy model to predict the preference degree related to each concept for such context and return the preference degree. Relying on the score affected for each concept and context we deduce its importance to apply then the appropriate fuzzy rule. As for as the experiments, the advanced user profile modeling with fuzzy logic shows more flexibility in the interpretation of the query.
Gravitational Radiation from Standing Accretion Shock Instability in Core-Collapse Supernovae

We present the results of numerical experiments in which we study how asphericities induced by the growth of the standing accretion shock instability (SASI) produce gravitational waveforms in the postbounce phase of core-collapse supernovae. To obtain the neutrino-driven explosions, we parameterize the neutrino fluxes emitted from the central proto-neutron star and approximate the neutrino transfer by a light-bulb scheme. We find that the waveforms due to anisotropic neutrino emissions show a monotonic increase with time, whose amplitudes are up to 2 orders of magnitude larger than those from convective matter motions outside proto-neutron stars. We point out that the amplitudes begin to become larger when the growth of the SASI enters the nonlinear phase, in which the deformation of the shocks and the neutrino anisotropy become large. From the spectrum analysis of the waveforms, we find that the amplitudes from the neutrinos are dominant over those from the matter motions at frequencies below ~100 Hz, which should be within the detection limits of next-generation detectors such as LCGT and the advanced LIGO for a supernova at 10 kpc. As a contribution to the gravitational wave background, we show that the amplitudes from this source could be larger at frequencies above ~1 Hz than the primordial gravitational wave backgrounds but, unfortunately, invisible to the proposed space-based detectors.
Reconfigurable architecture model based on layered hypergraph

The applications of computing have led to the diversity of tasks, and one kind of architecture is difficult to adapt several different application tasks. The different requirements of computing resource, storage resource and communication resource of tasks need to be analyzed, which include the program structure running and extracting the key granularity of the real applications instinct. We can get the sub-algorithm clusters, which have independent function in different fields. Hierarchical hypergraph is used to visually describe the application structure and computing architecture, and the perception algorithm is utilized to get the system states, such as the features of applications, components state information and so on. Then the reconfigurable architecture and decision-making algorithm are utilized to achieve a reasonable matching of the sub-algorithm clusters with sub-structures. A computing instance is analyzed to verify the validity of the reconfigurable architecture. Meanwhile, the graph isomorphism theory is used to show that this diversified architecture reasonable, high-efficiency and low power consumption, while solving different complex applications.
Media Messages and Alcohol Education: A School-Based Study

The immediate effects of a media intervention on attitudes toward alcohol were investigated with 134 secondary school pupils (aged 13 to 17 years) who completed a drinking and smoking questionnaire and expressed strength of agreement or disagreement with 13 statements about alcohol, drinking and health. Pupils then read news cuttings from popular magazines. One group read a negative message about alcohol, another group a positive message. Other groups read both positive and negative messages, and a control group had no media intervention. Immediately afterwards, all pupils responded to the same 13 statements again. Those pupils who received only a negative message became significantly more negative in their attitudes towards alcohol. Those receiving only a positive message were significantly more positive afterwards. The control group and those receiving both positive and negative messages showed little change. These findings are discussed in terms of their implications for alcohol education programs at school.