Miracle-dz/UniFAR-FTUs huggingface dataset:
Suppression of Cancer Progression by MGAT1 shRNA Knockdown

Oncogenic signaling promotes tumor invasion and metastasis, in part, by increasing the expression of tri- and tetra- branched N-glycans. The branched N-glycans bind to galectins forming a multivalent lattice that enhances cell surface residency of growth factor receptors, and focal adhesion turnover. N-acetylglucosaminyltransferase I (MGAT1), the first branching enzyme in the pathway, is required for the addition of all subsequent branches. Here we have introduced MGAT1 shRNA into human HeLa cervical and PC-3-Yellow prostate tumor cells lines, generating cell lines with reduced transcript, enzyme activity and branched N-glycans at the cell surface. MGAT1 knockdown inhibited HeLa cell migration and invasion, but did not alter cell proliferation rates. Swainsonine, an inhibitor of α-mannosidase II immediately downstream of MGAT1, also inhibited cell invasion and was not additive with MGAT1 shRNA, consistent with a common mechanism of action. Focal adhesion and microfilament organization in MGAT1 knockdown cells also indicate a less motile phenotype. In vivo, MGAT1 knockdown in the PC-3-Yellow orthotopic prostate cancer xenograft model significantly decreased primary tumor growth and the incidence of lung metastases. Our results demonstrate that blocking MGAT1 is a potential target for anti-cancer therapy.
The Conference Proceedings of the 2003 Air Transport Research Society (ATRS) World Conference, Volume 3

The UNO Aviation Institute Monograph Series began in 1994 as a key component of the education outreach and information transfer missions of the Aviation Institute and the NASA Nebraska Space Grant & EPSCoR Programs. The series is an outlet for aviation materials to be indexed and disseminated through an efficient medium. Publications are welcome in all aspects of aviation. Publication formats may include, but are not limited to, conference proceedings, bibliographies, research reports, manuals, technical reports, and other documents that should be archived and indexed for future reference by the aviation and world wide communities.
Academic generations and academic work: patterns of attitudes, behaviors, and research productivity of Polish academics after 1989

This paper focuses on a generational change taking place in the Polish academic profession: a change in behaviors and attitudes between two groups of academics. One was socialized to academia under the communist regime (1945–1989) and the other entered the profession in the post-1989 transition period. Academics of all age groups are beginning to learn how tough the competition for research funding is, but young academics (‘academics under 40’), being the target of recent policy initiatives, need to learn faster. Current reforms present a clear preferred image for a new generation of Polish academics: highly motivated, embedded in international research networks, publishing mostly internationally, and heavily involved in the competition for academic recognition and research funding. In the long run, without such a radical approach, any international competition between young Polish academics (with a low research orientation and high teaching hours) and their young Western European colleagues (with a high research orientation and low teaching hours) seems inconceivable, as our data on the average academic productivity clearly demonstrate. The quantitative background of this paper comes from 3704 returned questionnaires and the qualitative background from 60 semi-structured in-depth interviews. The paper takes a European comparative approach and contrasts Poland with 10 Western European countries (using 17,211 returned questionnaires).
Empathizing and Systemizing (Un)justified Mediated Violence: Psychophysiological Indicators of Emotional Response

This article examines individual variability in empathizing and systemizing abilities (Baron-Cohen, 2003, 2009) on emotional responses to mediated violence. It is predicted that these abilities influence feelings of distress and enjoyment while processing violent media and that they interact with the motives for aggressive behavior—whether the violence was justified or not. Psychophysiological measures of negative and positive valence activation and arousal were recorded for 90 participants while they were exposed to fourteen full-motion film clips that contained violence that was either justified or not by the narrative. Results show unjustified content led to greater physiological arousal and greater negative valence activation overall and to a significantly greater extent in highly empathetic viewers. Advantages of employing the empathizing—systemizing theory to mediated violence research are discussed.
A Conceptual Framework to Examine Abu Dhabi's Police Force E-Service Initiatives

This research-in-progress paper aims to identify and understand factors affecting the diffusion, adoption and use of e-services in a public sector organisation. For this purpose a theoretical framework is required, which is proffered within this paper. Additionally, the proposed research approach that is qualitative in nature is briefly explained along with the reasoning for its use. Finally, conclusions, future directions and limitations to this research are provided. The contributions of this research are viewed to be the development of a theoretical framework that is specific to a public sector organisation in a developing country. For policy makers this research provides a theoretically sound framework which has applied certain constructs taken from Diffusion of Innovations Theory (DOI), Technology Acceptance Model (TAM) and eCommerce’s Trustworthiness models that can then be employed to understand the adoption, use and diffusion of e-services in a developing country. For industry this research also understands factors that are important for the adoption, use and diffusion of ICTs within a developing country.
Recursive Camera Resectioning with Unscented Particle Filter in Image Sequen Application to Video-based Augmented

In this paper, we propose a new recursive framework for camera resectioning and apply it to off-line video-based augmented reality. Our algorithm is based on an unscented particle filter, which deals with non-linear dynamic systems without local linearization, and leads to more accurate results than other non-linear filters. The proposed approach has some desirable properties. It does not rely on closed-form solutions. It is fairly accurate and is easy to implement as compared with other nonlinear approaches. As a result, the proposed algorithm outperforms the standard camera resectioning algorithm. We verify this through experimentation using real image sequences.
Stochasticity Modeling in Memristors

Diverse models have been proposed over the past years to explain the exhibiting behavior of memristors, the fourth fundamental circuit element. The models varied in complexity ranging from a description of physical mechanisms to a more generalized mathematical modeling. Nonetheless, stochasticity, a widespread observed phenomenon, has been immensely overlooked from the modeling perspective. This inherent variability within the operation of the memristor is a vital feature for the integration of this nonlinear device into the stochastic electronics realm of study. In this paper, experimentally observed innate stochasticity is modeled in a circuit compatible format. The model proposed is generic and could be incorporated into variants of threshold-based memristor models in which apparent variations in the output hysteresis convey the switching threshold shift. Further application as a noise injection alternative paves the way for novel approaches in the fields of neuromorphic engineering circuits design. On the other hand, extra caution needs to be paid to variability intolerant digital designs based on nondeterministic memristor logic.
Teachers' Intention to Teach Financial Literacy in Singapore: A Path Analysis of an Extended Theory of Planned Behaviour (TPB)

Financial education is an important life skill and successful implementation of financial literacy (FL) education hinges on several factors, such as school management's support, training of teachers and resources for teaching and learning. This study aims to examine the efficacy of the Theory of Planned Behaviour (TPB) to explain teachers' intention to teach financial literacy. One hundred and forty-seven teachers completed a self-report survey questionnaire after they had attended a financial literacy programme. Results revealed that, among the variables included in the study, behavioural intention was significantly influenced by attitude and perceived behavioural control, which were, in turn, influenced by perceived usefulness, perceived ease of learning, and facilitating conditions in varying degrees. Overall, the extended Theory of Planned Behaviour (TPB) explains 58.5% of the variance in behavioural intention to teach financial literacy among teachers in Singapore.
Search pruning with soft biometric systems : efficiency-reliability tradeoff

In the setting of computer vision, algorithmic searches often aim to identify an object inside large sets of images or videos. Towards reducing the often astronomical complexity of this search, one can use pruning to filter out sufficiently distinct objects, thus resulting in a pruning gain of an overall reduced search space. Motivated by practical scenarios such as time-constrained human identification in biometric-based video surveillance systems, we analyze the stochastic behavior of time-restricted search pruning, over large and unstructured data sets which are furthermore random and varying, and where in addition, pruning itself is not fully reliable but is instead prone to errors. In this stochastic setting we explore the natural tradeoff that appears between pruning gain and reliability, and proceed to first provide average-case analysis of the problem and then, using large deviations and informational divergence techniques, to study the atypical gain-reliability behavior, giving insight on how often pruning might fail to substantially reduce the search space. The simplicity of the obtained expressions allows for rigorous and insightful assessment of the pruning gain-reliability behavior, as well as for intuition into designing general object recognition systems.
A novel function of Tis11b/BRF1 as a regulator of Dll4 mRNA 3′-end processing

We report the characterization of Delta-like-4 (Dll4), an angiogenesis-related gene for which haploinsufficiency is lethal, as an additional target of Tis11b-mediated regulation. Unexpectedly, we show that Tis11b does not alter mRNA stability but rather seems to modulate 3′-processing of Dll4 mRNA in endothelial cells.
Hate Me, Hate Me Not: Hate Speech Detection on Facebook

While favouring communications and easing information sharing, Social Network Sites are also used to launch harmful campaigns against speciﬁc groups and individuals. Cyberbullism, incitement to self-harm practices, sexual predation are just some of the severe eﬀects of massive online oﬀensives. Moreover, attacks can be carried out against groups of victims and can degenerate in physical violence. In this work, we aim at containing and preventing the alarming diﬀusion of such hate campaigns. Using Facebook as a benchmark, we consider the textual content of comments appeared on a set of public Italian pages. We ﬁrst propose a variety of hate categories to distinguish the kind of hate. Crawled comments are then annotated by up to ﬁve distinct human annotators, according to the deﬁned taxonomy. Leveraging morpho-syntactical features, sentiment polarity and word embedding lexicons, we design and implement two classiﬁers for the Italian language, based on diﬀerent learning algorithms: the ﬁrst based on Support Vector Machines (SVM) and the second on a particular Recurrent Neural Network named Long Short Term Memory (LSTM). We test these two learning algorithms in order to verify their classiﬁcation performances on the task of hate speech recognition. The results show the eﬀectiveness of the two classiﬁcation approaches tested over the ﬁrst manually annotated Italian Hate Speech Corpus of social media text.
Cross-Cultural Training and Success Versus Failure of Expatriates

The past few decades has seen an explosion in research on expatriates and cross-cultural training. There has been controversy and an unending debate on the goals, effectiveness, implementation and processes of CCT. There are very few reviews that have condensed literature detailing the best practices of CCT. This review also details the success and failure of expatriates. The antecedents or moderators that play a role in the evaluation of success and failure have been outlined in this literature review. It also brings to light certain solutions that will make CCT more effective and provides directions for future research.
Regulation of PTS gene expression by the homologous transcriptional regulators, Mlc and NagC, in Escherichia coli (or how two similar repressors can behave differently).

NagC and Mlc are paralogous transcriptional repressors in E.coli. Unexpectedly they possess almost identical amino acid sequences in their helix-turn-helix (H-T-H), DNA binding motif and they bind to very similar consensus operator targets. Binding to each others sites can be demonstrated in vitro but no cross regulation can be detected in vivo with physiological amounts of the two proteins. Although both proteins are involved in regulating the expression of PTS genes, the characteristics of their repression and induction are very different. NagC is a dual-function, activator-repressor which co-ordinates the metabolism of the amino sugars, N-acetylglucosamine (GlcNAc) and glucosamine, by repressing the divergent nagE-BA operons and by activating the glmUS operon. Repression (and activation) by NagC requires that NagC binds simultaneously to two operators, thus forming a DNA loop. This chelation effect allows use of lower affinity sites which would not individually bind the repressor. The specific inducer for NagC is GlcNAc-6-P, the product of GlcNAc transport by the PTS and a key compound in amino sugar metabolism. Mlc represses several genes implicated in the uptake of glucose; ptsG, ptsHI and manXYZ, and malT, the activator of the mal regulon. Glucose behaves like the inducer but growth on glucose only produces an overall increase in expression for ptsG and ptsHI. All Mlc repressed genes are also controlled by cAMP/CAP, so that glucose affects their transcription in two opposing ways: increasing expression by acting as the inducer for Mlc but decreasing expression by lowering the cAMP/CAP concentration. The Mlc protein is not directly responsive to glucose per se but to the activity status of the PTS. Displacement of Mlc from its binding sites occurs during growth on glucose and other PTS sugars and involves sequestration of the repressor to membranes by binding to dephosphorylated PtsG.
“Nerd Camp”: Students’ and Parents’ Perceptions of Summer Programs for Gifted Students

Measures of parental value, reasons for enrollment and re-enrollment, contentment with residential and academic aspects, perceived benefits, demographic and curricular area differences in perceptions, and comparisons to regular schooling were analyzed for participants of one 2005 Johns Hopkins University Center for Talented Youth (CTY) summer program and their parents. All students, ages 12-16, (N=227) completed likert-scale evaluations, and select parents (N=17) and students (N=9) completed open-ended perception questionnaires. Similar to prior research, students and parents were very pleased with all aspects of CTY and some gender, ethnicity, and curricular area differences existed. The results support intellectual ability grouping, enrichment learning, and out-of-school gifted programming, as well as suggesting that gifted students would like maximum independence during their summer experience.
Estratégias de aprendizagem e motivação para aprender de alunos do Ensino Fundamental

Learning strategies and motivation to learn of elementary school students The objectives of the present study were to assess the frequency of use of learning strategies, to identify the motivation to learn and to explore relationships between these two variables among 314 Elementary School students. Data were collected using two Likert scales: one to assess studentslearning strategies and other to measure their motivation to learn orientations, both with acceptable internal consistency indexes. Positive and significant relationships between learning strategies and intrinsic motivation emerged. Data was discussed in the light of the literature. Educational implications and suggestions for further research were drawn.
A Review on Cutting-Edge Techniques in Evolutionary Algorithms

There are vast amount researches in Evolutionary Algorithms (EA). We need an overview of the current state of EA research every few years. This paper reviews some of the interesting researches at the current state in both theory and application of EA. Works in EA performance improvements are introduced in the sense of balancing between convergence speed and diversity in the population. The combination of EA with other methods is highlighted as a prospective area that may give fertility results. Some smart applications are reviewed in this paper, for example, application in nuclear power plant. The authors point out some research highlights and drawbacks in the conclusion. Future research suggestions are also given.
The Impact of Ethnic Concentration on Prejudice: The Role of Cultural and Socioeconomic Differences among Ethnic Neighborhood Residents

ABSTRACT: Many studies have examined the impact of the size of the neighborhood minority population on prejudicial attitudes of majority residents. However, few studies have investigated how residents of different ethnic origins evaluate different ethnic outgroups based on the shares of these particular ethnic outgroups in their neighborhood. Based on the belief congruency theory and social identity theory, we propose that the effect of outgroup size on outgroup attitudes depends on the socioeconomic and cultural differences between ethnic groups. Multilevel analyses of Dutch survey data gathered among Turkish, Moroccan, Surinamese, Antillean, and native Dutch residents indicate that for most groups outgroup attitudes are not influenced by the share of the particular outgroup in their neighborhood. For some ethnic groups, however, the size of a particular outgroup is associated with less positive attitudes toward that outgroup. Differences in the effect of outgroup size on outgroup attitudes only partly correspond with cultural differences and socioeconomic status differences.
Wnt / β-catenin signaling modulates corneal epithelium stratification via inhibition of Bmp 4 during mouse development

The development of organs with an epithelial parenchyma relies on reciprocal mesenchymal-epithelial communication. Mouse corneal epithelium stratification is the consequence of a coordinated developmental process based on mesenchymal-epithelial interactions. The molecular mechanism underlying these interactions remains unclear. The Wnt/β-catenin signaling pathway is involved in fundamental aspects of development through the regulation of various growth factors. Here, we show that conditional ablation of either β-catenin (Ctnnb1) or co-receptors Lrp5/6 (Lrp5/6) in corneal stromal cells results in precocious stratification of the corneal epithelium. By contrast, ectopic expression of a murine Ctnnb1 gainof-function mutant (Ctnnb1) retards corneal epithelium stratification. We also discovered that Bmp4 is upregulated in the absence of β-catenin in keratocytes, which further triggers ERK1/2 (Mapk3/1) and Smad1/5 phosphorylation and enhances transcription factor p63 (Trp63) expression in mouse corneal basal epithelial cells and in a human corneal epithelial cell line (HTCE). Interestingly, mouse neonates given a subconjunctival BMP4 injection displayed a phenotype resembling that of Ctnnb1. Conditional ablation of Bmp4 eradicates the phenotype produced in Ctnnb1 mice. Furthermore, ChIP and promoter-luciferase assays show that β-catenin binds to and suppresses Bmp4 promoter activity. These data support the concept that cross-talk between the Wnt/β-catenin/ Bmp4 axis (in the stromal mesenchyme) and Bmp4/p63 signaling (in the epithelium) plays a pivotal role in epithelial stratification during corneal morphogenesis.
Deterministic distributed vertex coloring in polylogarithmic time

Consider an n-vertex graph G = (V,E) of maximum degree Δ, and suppose that each vertex v ∈ V hosts a processor. The processors are allowed to communicate only with their neighbors in G. The communication is synchronous, i.e., it proceeds in discrete rounds. In the distributed vertex coloring problem the objective is to color G with Δ + 1, or slightly more than Δ + 1, colors using as few rounds of communication as possible. (The number of rounds of communication will be henceforth referred to as running time. Efficient randomized algorithms for this problem are known for more than twenty years [1, 19]. Specifically, these algorithms produce a Δ + 1)-coloring within O(log n) time, with high probability. On the other hand, the best known deterministic algorithm that requires polylogarithmic time employs O(Δ2) colors. This algorithm was devised in a seminal FOCS'87 paper by Linial [16]. Its running time is O(log* n). In the same paper Linial asked whether one can color with significantly less than Δ2 colors in deterministic polylogarithmic time. By now this question of Linial became one of the most central long-standing open questions in this area. In this paper we answer this question in the affirmative, and devise a deterministic algorithm that employs Δ1+o(1) colors, and runs in polylogarithmic time. Specifically, the running time of our algorithm is O(f(Δ) log Δ log n, for an arbitrarily slow-growing function f(Δ) = ω(1). We can also produce O(Δ1 + η)-coloring in O(log Δ log n)-time, for an arbitrarily small constant η > 0, and O(Δ)-coloring in O(Δε log n) time, for an arbitrarily small constant ε > 0. Our results are, in fact, far more general than this. In particular, for a graph of arboricity a, our algorithm produces an O(a1 + η)-coloring, for an arbitrarily small constant η > 0, in time O(log a log n).
Online video recommendation based on multimodal fusion and relevance feedback

With Internet delivery of video content surging to an un-precedented level, video recommendation has become a very popular online service. The capability of recommending relevant videos to targeted users can alleviate users' efforts on finding the most relevant content according to their current viewings or preferences. This paper presents a novel online video recommendation system based on multimodal fusion and relevance feedback. Given an online video document, which usually consists of video content and related information (such as query, title, tags, and surroundings), video recommendation is formulated as finding a list of the most relevant videos in terms of multimodal relevance. We express the multimodal relevance between two video documents as the combination of textual, visual, and aural relevance. Furthermore, since different video documents have different weights of the relevance for three modalities, we adopt relevance feedback to automatically adjust intra-weights within each modality and inter-weights among different modalities by users' click-though data, as well as attention fusion function to fuse multimodal relevance together. Unlike traditional recommenders in which a sufficient collection of users' profiles is assumed available, this proposed system is able to recommend videos without users' profiles. We conducted an extensive experiment on 20 videos searched by top 10 representative queries from more than 13k online videos, reported the effectiveness of our video recommendation system.