Miracle-dz/UniFAR-FTUs huggingface dataset:
Rank-1 Bicluster Classifier

A DNA-microarray measures the gene expression levels of thousands of genes under different experimental conditions (samples). These values describe the unique properties to each cell type. The samples may have come from different time points, diseased or healthy tissues, or different individuals. This technology benefits biological research greatly in understanding of biological processes. Our goal is to learn a microarray classifier to distinguish members of various classes, based on their expression levels. In this thesis we propose a method for sample classification by reducing the dimensionality of the data, using bi-clusters. A bi-cluster is a subset of genes and a subset of samples that have similar patterns based on the gene expression values. We also propose a novel algorithm for finding bi-clusters from the microarray data, using the best rank-1 matrix approximation. We demonstrate that our method works effectively by comparing its prediction accuracy with other classifiers, including another bi-clustering algorithm.
A case report and short review on changing trends in the site of occurrence of adenomatoid odontogenic tumor: Unravelling the past 15 years

Adenomatoid odontogenic tumor (AOT) is an uncommon benign odontogenic lesion, with debatable histogenesis and variable histopathology. A systematic and diverse insight into the evolution, clinical presentation, histology, and immunohistochemical findings of this lesion is reviewed and presented. We reviewed the data published from 2000 to 2014 of approximately 255 cases that revealed a significant change in the incidence of predominant site involved, in contrast to the findings published by Reichart. We have also included the chronological order of events leading to the coining of the term AOT, which shows the curiosity that has been dedicated to understanding the lesion. Immunohistochemistry is considered to be a hallmark in pathology for learning the molecular pathogenesis and giving a correct final diagnosis. Several markers have been used to investigate and understand this lesion, and a compilation of the findings has been tabulated.
Combining Models and Exemplars for Face Recognition: An Illuminating Example

We propose a model- and exemplar-based approach for face recognition. This problem has been previously tackled using either models or exemplars, with limited success. Our idea uses models to synthesize many more exemplars, which are then used in the learning stage of a face recognition system. To demonstrate this, we develop a statistical shape-fromshading model to recover face shape from a single image, and to synthesize the same face under new illumination. We then use this to build a simple and fast classifier that was not possible before because of a lack of training data.
La reconnaissance des mots écrits chez les patients souffrant de schizophrénie

Les patients souffrant de schizophrenie presentent des symptomes cliniques ainsi que des deficits cognitifs. Il a ete recemment propose que les deficits de lecture des patients fassent partie de ces deficits. L’objectif de ce travail de these etait d’evaluer les capacites de reconnaissance visuelle des mots chez les patients souffrant de schizophrenie, au moyen d'une evaluation diagnostique des processus cognitifs dans une approche comportementale et electrophysiologique (enregistrement des potentiels evoques). Les resultats indiquent une preservation de la specialisation de l’aire de la forme visuelle des mots pour traiter les mots ecrits chez les patients. De plus, les processus cognitifs impliques dans le traitement orthographique des suites de lettres semblent egalement preserves. En revanche, les processus cognitifs impliques dans le traitement phonologique semblent alteres chez les patients souffrant de schizophrenie.
Electronic Graphic Organizers for Learning Science Vocabulary and Concepts: The Effects of Online Synchronous Discussion

Abstract This study investigated the content learning of fourth graders (N = 92) randomly assigned to complete electronic Frayer Models on life science vocabulary by themselves or while engaging in synchronous online discussions with a partner. The use of the graphic organizers was interspersed with other science activities. After seven weeks, all students significantly improved their science content knowledge (d ≈ 0.60), but the two treatment groups did not demonstrate significantly different performance after controlling for pretest abilities. Path analysis revealed the rubric scores on students' organizers were more strongly predictive of the posttest science benchmark in the online discussion group than the independent group, suggesting that collaboratively completing Frayer Models may help bolster the relationship between reading and science.
Measuring chronic regulatory focus in Romania: adaptation of the Regulatory Focus Questionnaire

One of the most influential constructs in recent social psychology is regulatory focus. However, the Romanian literature on this subject is sparse. After back-translating the Regulatory Focus Questionnaire (RFQ), we explored its factor structure and construct validity in two different studies. In Study 1, 401 students completed the RFQ and the BIS/BAS scales. After excluding one item due to its small loadings on both factors, the exploratory factor analysis and also the confirmatory factor analysis showed that a two-factor structure had the best fit. Results also showed that promotion focus and prevention focus were associated with BAS and BIS in the expected direction. In Study 2, using 198 students, besides the Romanian form of the RFQ we also used the two scales from IPIP 50 for extraversion and emotional stability, and PANAS. We replicated through confirmatory factor analysis the two-factor solution and also found that the instrument has acceptable temporal stability. We also discovered that the relationships between the promotion and the prevention scales with all the other four variables were as reported in other previous studies. The Regulatory Focus Questionnaire – Romanian form holds adequate psychometric properties and certainly can be used in future research, especially on student samples.
The community as a language planning crossroads: macro and micro language planning in communities in Wales

ABSTRACT This paper teases out the meeting points between macro and micro language planning in Wales, and how these influence community language use in real terms. The paper draws upon data gathered from an evaluation of the Welsh Government’s strategy towards the maintenance and promotion of the Welsh language on a community level in Wales. Conducting this research provides an insight into how the community acts as a language planning crossroads where a plethora of factors contributes to language use within this sphere. Key findings report that many opportunities exist to use the Welsh language at macro and micro language planning levels within the communities, including opportunities provided via Welsh Government programmes. However, gaps in community provision exist and linguistic community interaction often occurred within daily, micro activities such as shopping and accessing services rather than within formally organised community activities at a macro level. Furthermore, evidence of existing complex language attitudes, ideologies and norms play a part in the daily negotiation and re-negotiation of language use on a micro level within these communities. This paper will argue that the WG participate in micro language planning in Wales by supplementing local activities via local actors within the communities studied.
What motivates digital activism? The case of the Save KPK movement in Indonesia

ABSTRACT Digital activism has enormous ability to amplify offline and online civic activism and political participation. In Indonesia, digital activism has successfully supported social and political change in recent years. Motivation is an important component of digital activism that can stimulate movements, and can be determined by access to and use of digital media. This article presents a case study of motivations and digital activism in an online political movement in Indonesia through interviews and focus group discussions with fifty-two (n = 52) Indonesian young people (activists and students) who were familiar with digital media and the Save KPK 2015 movement in Indonesia. It investigates the digital activism of the Save KPK movement and the strategies employed to support the movement. The case study offers a deeper understanding of the Save KPK movement (which aimed to support an institution dedicated to eradicating corruption in Indonesia) and provides insights into the motivations of activists who digitally supported the political movement. Its findings explore how internal factors such as experience and beliefs fundamentally influenced young Indonesians to participate in the Save KPK movement using digital media, indicating that intrinsic is an important factor in delivering credible information and participating in the movement. Delivering truthful information about the KPK institution through digital media was seen as vital to combat the distribution of misinformation, such as fake news or hoaxes, and reinforce the political participation that helps to sustain Indonesian democracy as well as that of other democratic countries.
β-Arrestin/Ral Signaling Regulates Lysophosphatidic Acid–Mediated Migration and Invasion of Human Breast Tumor Cells

The lipid mediator lysophosphatidic acid (LPA) plays a role in cancer progression and signals via specific G protein–coupled receptors, LPA1-3. LPA has been shown to enhance the metastasis of breast carcinoma cells to bone. However, the mechanisms by which LPA receptors regulate breast cancer cell migration and invasion remain unclear. Breast cancer cell proliferation has been shown to be stimulated by Ral GTPases, a member of the Ras superfamily. Ral activity can be regulated by the multifunctional protein β-arrestin. We now show that HS578T and MDA-MB-231 breast cancer cells and MDA-MB-435 melanoma cells have higher expression of β-arrestin 1 mRNA compared with the nontumorigenic mammary MCF-10A cells. Moreover, we found that the mRNA levels of LPA1, LPA2, β-arrestin 2, and Ral GTPases are elevated in the advanced stages of breast cancer. LPA stimulates the migration and invasion of MDA-MB-231 cells, but not of MCF-10A cells, and this is mediated by pertussis toxin–sensitive G proteins and LPA1. However, ectopic expression of LPA1 in MCF-10A cells caused these cells to acquire an invasive phenotype. Gene knockdown of either β-arrestin or Ral proteins significantly impaired LPA-stimulated migration and invasion. Thus, our data show a novel role for β-arrestin/Ral signaling in mediating LPA-induced breast cancer cell migration and invasion, two important processes in metastasis. (Mol Cancer Res 2009;7(7):1064–77)
Neurons but not glial cells show reciprocal imprinting of sense and antisense transcripts of Ube3a.

The human UBE3A gene shows brain-specific partial imprinting, and lack of a maternally inherited allele causes Angelman syndrome (AS), which is characterized by neurobehavioral anomalies. In several AS model mice, imprinted Ube3a expression is detected predominantly in the hippocampus, cerebellar Purkinje cells and the olfactory bulb. Therefore, imprinting of mouse Ube3a is thought to be region-specific with different levels of silencing of the paternal Ube3a allele in different brain regions. To determine cell types of imprinted Ube3a expression, we analyzed its imprinting status in embryonic brain cells by using primary cortical cell cultures. RT-PCR and immunofluorescence were performed to determine the allelic expression of the gene. The Ube3a gene encodes two RNA transcripts in the brain, sense and antisense. The sense transcript was expressed maternally in neurons but biallelically in glial cells in the embryonic brain, whereas the antisense transcript was expressed only in neurons and only from the paternal allele. Our data present evidence of brain cell type-specific imprinting, i.e. neuron-specific imprinting of Ube3a in primary brain cell cultures. Reciprocal imprinting of sense and antisense transcripts present only in neurons suggests that the neuron-specific imprinting mechanism is related to the lineage determination of neural stem cells.
Prevaccine determination of the expression of costimulatory B7 molecules in activated monocytes predicts influenza vaccine responses in young and older adults.

BACKGROUND Innate immunity, including Toll-like receptor (TLR)-mediated expression of the B7 costimulatory molecules CD80 and CD86, is critical for vaccine immunity. We examined whether CD80 and CD86 expression vary with aging and predict response to the trivalent inactivated influenza vaccine. METHODS One hundred sixty-two subjects between 21 and 30 years of age (the young group) or > or =65 years of age (the older group) enrolled before vaccination. We determined TLR-induced monocyte CD80/CD86 expression by flow cytometry and vaccine antibody responses by hemagglutination inhibition. RESULTS The mean increase in TLR-induced CD80(+) monocytes was reduced in older, compared with young, adults by 68% (P=.0002), and each decile increase of CD80(+) cells was associated with an 8.5% increase in mean number of vaccine strains with a > or =4-fold titer increase (P=.01) and a 3.8% increase in mean number of strains with a postvaccine titer > or =1 : 64 (P=.037). Each decile decrease of CD86(+) cells was associated with an 11% increase in the mean number of strains with a 4-fold increase (P=.002) and a 3.9% increase in the mean number of strains with a postvaccine titer > or =1 : 64 (P=.07). CONCLUSIONS CD80 and CD86 expression on activated monocytes is highly associated with influenza vaccine response. This approach prospectively identifies adults unlikely to respond to immunization who may benefit from alternative vaccines or antiviral prophylaxis during influenza outbreaks.
Modeling On-Line Art Auction Dynamics Using Functional Data Analysis

In this paper, we examine the price dynamics of online art auctions of Modern Indian Art using Functional Data Analysis. The purpose here is not just to understand what determines the final prices of art objects but also the price movement during the entire auction. We identify several factors such as artist characteristics (established or emerging artist; prior sales history), art characteristics (size; painting medium - canvas or paper), competition characteristics (current no. of bidders; current no. of bids) and auction design characteristics (opening bid; position of the lot in the auction) that explain the dynamics of price movement in an online art auction. We find that the effects on price vary over the duration of the auction, with some of these effects being stronger at the beginning of the auction (such as the opening bid and historical prices realized). In some cases, the rate of change in prices (velocity) increases at the end of the auction (for canvas paintings and paintings by established artists). Our analysis suggests that the opening bid is positively related to online auction price levels of art at the beginning of the auction but its effect declines towards the end of the auction. The order in which the lots appear in an art auction is negatively related to the current price level with this relationship decreasing towards the end of the auction. This implies that lots that appear earlier have higher current prices during the early part of the auction but that effect diminishes by the end of the auction. Established artists show a positive relationship with the price level at the beginning of the auction. Reputation or popularity of the artists and their investment potential as assessed by previous history of sales are positively related to the price levels at the beginning of the auction. The medium (canvas or paper) of the painting did not show any relationship with art auction price levels, but the size of the painting was negatively related to the current price during the early part of the auction. Important implications for auction design are drawn from the analysis.
Lightweight Location Verification in Air Traffic Surveillance Networks

In this work, we develop a realistic threat model for attacks on modern air traffic communication networks and show that current state-of-the-art countermeasures such as multilateration are insufficient. We propose two alternatives, a statistical location verification technique and a grid-based location estimation approach, to deal with the identified threats. We evaluate our proposals using real-world flight data and quantify their effectiveness in terms of aircraft location accuracy, resilience to message injection attacks, attack detection speed, and surveillance coverage. Our results show that the statistical verification approach can increase the effective air traffic surveillance coverage compared to multilateration by a factor of more than 100. Concerning our location estimation method, we find that the mean aircraft location accuracy can be increased by up to 41% in comparison with multilateration while also being able to pinpoint ground-based attackers with a mean error of 145m for air-based attackers. Finally, we demonstrate that our proposal is lightweight as it does not require any changes to the existing air traffic protocols and transmitters, and is easily implemented using only low-cost hardware.
The Quest for Significance: Attitude Adaption to a Radical Group Following Social Exclusion

It is a human fundamental to desire to be valued, loved and respected - to be significant. Social exclusion induce significance loss which elicits a 'quest for significance' - the search for opportunities to re-gain significance. The present article establishes this relation in a laboratory experiment (N = 71, mean age = 28, SD = 10.42, 65% women, 35% men), showing that socially excluded individuals who are subsequently included by a radical group, adapt their attitudes in line with this group. We use a modified version of the well-known paradigm 'Cyberball' to elicit the quest for significance. The results show that when experiencing social exclusion, highly rejection sensitive individuals tend to adapt to the radical group's opinions. The results are important, highlighting a mechanism in the radicalization process and the importance of taking social factors into account in this process. (Less)
Interpreters’ Decision-making In Case of Ethical Dilemma in Media Interpreting

The intention of the current study was to investigate the ethical cases and interpreters’ strategies in translating them. The data used in this study was collected from some interview sessions, speeches presented by foreign, and Iranian high-ranking officials. Among the data only those interview sessions and speeches for which interpreting was available, were selected. To extract the most common strategies applied for ethical issues, a thorough analysis of 42 interview sessions and speeches was done and then compared to the original dialogues with their corresponding oral translation. In this study, different strategies based on Gile’s classification were investigated, among them only few strategies were seen to be applied to ethical matters. Moreover, some further strategies were observed by the researcher that could be added to Gile’s classification (2009). In the final analysis, the results also indicated that omission and deletion were the most frequently used strategies applied by interpreters. The use of the other strategies depended on many other factors like the cultural gap between the two languages and also conservative policies, which led the interpreters to choose a certain strategy or solution in order to avoid any misunderstanding and conflict between two parties in a political sphere.
Heavy Traffic Limits for Some Queueing Networks

Using a slight modification of the framework in Bramson [7] and Williams [52], we prove heavy traffic limit theorems for six families of multiclass queueing networks. The first three families are single station systems operating under first-in first-out (FIFO), generalized headof-the-line proportional processor sharing (GHLPPS) and static buffer priority (SBP) service disciplines. The next two families are re-entrant lines operating under first-buffer-first-serve (FBFS) and last-buffer-first-serve (LBFS) service disciplines; the last family consists of certain 2-station, 5-class networks operating under an SBP service discipline. Some of these heavy traffic limits have appeared earlier in the literature; our new proofs demonstrate the significant simplifications that can be achieved in the present setting. AMS 1991 subject classification. Primary 60K25, 60F17, 60G17; secondary 60J15, 90B22, 68M20.
Robust Detection of Corners and Corner-line Links in Images

We define corner points in an image as the intersections among detected straight line segments, and propose an algorithm that detects corners from such a definition. Our corner detection algorithm CLDC then makes use of the LDC (Line Detection using Contours) algorithm from [19], which outputs the list of all detected line segments together with their endpoints. Each line segment is extended in a post-processing step. CLDC (Corners from LDC) then finds corners in O((n+I)log n) time, where n and I are the number of endpoints the intersections of line segments, respectively. Detected corners are linked via line segments that define them. Such an output of the corner detection algorithm is a novel concept. The algorithm is comparable in time complexity with other algorithms, while providing more information about the line segments in the image. CLDC is robust to image transformations, such as rotation and translations. Our CLDC is compared to some existing algorithm, and its advantages are demonstrated.
Bayesian Estimation of the Canonical New Keynesian Macromodel with Informational Delays

This paper analyses the empirical performance of the a New Keynesian sticky price model with delayed effects of monetary impulses on inflation and ouput. The model is augmented with rule-of-thumb behaviour in consumption and price setting for the German pre-EMU economy. Using recently developed Bayesian estimation techniques we find that endogenous persistence in consumption plays a dominant role whereas forward looking in inflation is high. The earlier documented result that the practical conduct of monetary policy by the Bundesbank can be reasonably described with a Taylor rule is confirmed.
The private rejection of unfair offers and emotional commitment

In a series of experiments, we demonstrate that certain players of an economic game reject unfair offers even when this behavior increases rather than decreases inequity. A substantial proportion (30–40%, compared with 60–70% in the standard ultimatum game) of those who responded rejected unfair offers even when rejection reduced only their own earnings to 0, while not affecting the earnings of the person who proposed the unfair split (in an impunity game). Furthermore, even when the responders were not able to communicate their anger to the proposers by rejecting unfair offers in a private impunity game, a similar rate of rejection was observed. The rejection of unfair offers that increases inequity cannot be explained by the social preference for inequity aversion or reciprocity; however, it does provide support for the model of emotion as a commitment device. In this view, emotions such as anger or moral disgust lead people to disregard the immediate consequences of their behavior, committing them to behave consistently to preserve integrity and maintain a reputation over time as someone who is reliably committed to this behavior.