Miracle-dz/UniFAR-FTUs huggingface dataset:
Human intestinal epithelial cell-induced CD8+ T cell activation is mediated through CD8 and the activation of CD8-associated p56lck

The activation of CD8+ suppressor T cells by normal intestinal epithelial cells in antigen-specific or allogeneic mixed cell culture systems has significant implications for the regulation of mucosal immune responses. In this study, we found that the capacity of epithelial cells to induce CD8+ suppressor T cell activation appeared to be linked to the binding of CD8 molecules on the T cell surface. This appears to be mediated by a non-class I molecule expressed on the epithelial cell surface, which binds to CD8 and results in the activation of the CD8-associated src-like tyrosine kinase, p56lck. Epithelial cell-stimulated p56lck activation is an early event (in contrast to monocytes) and is essential for T cell activation, since proliferation could be completely abrogated by pretreatment of T cells with genestein or herbamycin, both of which are protein tyrosine kinase inhibitors. Pretreatment of T cells with anti-CD8 or of intestinal epithelial cells with an anti-epithelial cell mAb B9 inhibited p56lck activation and further confirmed that CD8 on the T cell and a CD8 ligand on the epithelial cell were involved in this T cell activation event. The specificity of this reaction was confirmed in experiments in which murine transfectants 3G4 and 3G8, expressing CD4 or CD8, respectively, were used. Coculture of 3G8 with epithelial cells but not with monocytes activated p56lck in this cell line, whereas p56lck was preferentially activated in 3G4 cells when monocytes were used as the stimulator cells. Although stimulation through CD8- and CD8-associated p56lck was important for epithelial cell-induced T cell activation, T cell proliferation could not be induced by cross-linking CD8 alone with monoclonal antibody anti-CD8. These data suggest that a second signal, possibly through the T cell antigen receptor since activation of the T cell receptor-associated kinase fyn was also seen, is required for epithelial cell-driven T cell proliferation.
Review on :-Human Identification using GAIT Recognition Technique with PAL and PAL entropy , SVM and k-means with LDA

Gait recognition is one kind of biometric technology that can be used to monitor people without their cooperation. The controlled environments such as banks; military installations and even airports need to be able to quickly detect threats and provide differing levels of access to different user groups. The Gait shows a particular way or manner of moving on foot and gait recognition is the process of identifying an individual by the manner in which they walk. And Gait is less unobtrusive biometric; which offers the possibility to identify people at a distance; without any interaction or co-operation from the subject; this is the property which makes it so attractive [2]. This paper proposed new method for gait recognition. In this, firstly binary silhouette of a walking person is detected from each frame of an image. Then secondly, the features from each frame are extracted using the image processing operation. The step size length; centre of mass and cycle length are talking as key feature. In the end, SVM, K-means and LDA are used for training and testing purpose. Here, every experiments and tests are done on gait database. At last in this paper, the result shows that the better improvement from the previous result by using SVM, K-means and LDA.
Eliciting and aggregating individual expectations: An experimental study

In this paper we present a mechanism to elicit and aggregate dispersed information. Our mechanism relies on the aggregation of intervals elicited using an interval scoring rule. We test our mechanism by eliciting beliefs about the termination times of a stochastic process in an experimental setting. We conduct two treatments, one with high and one with low volatility.Increasing the underlying volatility affects the location of the interval, yet it does not significantly affect its length. Consequently, individuals perform significantly better in the low volatility treatment than in the high volatility treatment. Next, we construct distributions by aggregating intervals across different individuals. Our results reveal that the predictive quality of the aggregated intervals as measured by the Hellinger distance to the true distribution increases by more than 30 when increasing the aggregation level from two to eight individuals. This shows that aggregating individual intervals may be an attractive solution when market mechanisms are infeasible.
Cultural Neuroscience

The existence of human diversity has been a cultural variation in human thought and acsource of contemplation and curiosity since the tion. The mutual constitution of culture and beginning of human history. In his encyclopemind has been demonstrated in a variety of dia Etymologiae, published in the seventh cenfundamental psychological processes, includtury, Isidori of Seville observed that diversity ing the way people conceive of the self (Markus among humans existed not only in their ap& Kitayama, 1991; Markus, Kitayama, & pearance, such as color or body size, but also in Heiman, 1996), how they make causal attributhe content of their minds (Jahoda, 2002). Phitions (Morris 8i: Peng, 1994), how they attend losophers, such as Descartes and Locke, conto and remember objects in their environment tinued speculation on the nature and origin of (Miyanioto & Kitayama, 2002; Kitayama, human diversity, introducing more formalized Duffy, Kawamura, & Larsen, 2003; Masuda & notions of culture and its relation to human naNisbett, 2001), and how they perceive, experiture into the lexicon. The study of culture and ence, respond to, and predict their own and its role in humanity gained further prominence others' emotions (Elfenhein & Ambady, 2002; with the emergence of the field of anthropology Lam, Ruehler, McFarland, Ross, & Cheung, in the late 19th century, which emphasized the 2005; Mesquita & Frijda, 1992). A fundarnenstudy of cultural variation through observation tal assumption of this research is that the huof the customs, practices, values, and beliefs of man mind is intimately linked with its social different cultural groups, and later with the world or cu l t~~ra l context, and that culture is field of cultural psychology, which sought to continuously created through the actions and apply the methodology of psychology and its products of the individual minds that comprise emphasis on the individual mind to the study of it. cultural variation. Cultural psychologists have been wary, howContemporary cultural psychologists have ever, about integrating biological perspectives made considerable progress in documenting into their research endeavors, perhaps because
Benchmark test for speech recognition using the Corpus of Spontaneous Japanese

We present benchmark results of automatic speech recognition using the Corpus of Spontaneous Japanese (CSJ), which has been developed in the five-year national project and will be the largest spontaneous speech databases. New test-sets are designed for both academic presentation speech and extemporaneous public speech, which are the two major categories in the corpus. The testsets are selected to cover the variation of acoustic and linguistic factors in spontaneous speech: word perplexity, degree of disfluency, and the speaking rate. Baseline acoustic and language models are set up using an almost complete set (500 hours and 6.67M words) of the CSJ. Statistical modeling of pronunciation variation is also incorporated into the language model based on the alignment of large-scale transcriptions. The benchmark results verified the effects of the factors considered in the test-set design.
The Origin and Motion of PSR J0538+2817 in S147

We report on Very Long Baseline Array (VLBA) astrometry and Chandra imaging of PSR J0538+2817 in the supernova remnant S147. We measure a parallax distance of 1.47 kpc along with a high-precision proper motion, giving a transverse velocity V⊥ = 400 km s-1. A small extended wind nebula is detected around the pulsar; the symmetry axis of this structure suggests that the spin axis lies 12° ± 4° from the velocity vector (two-dimensional), but the emission is too faint for robust model-independent statements. The neutron star is hot, consistent with the young ~40 kyr kinematic age. The pulsar progenitor is likely a runaway from a nearby cluster, with NGC 1960 (M36) a leading candidate.
Approximations to an Integrated Model of Eating Disorders and Muscle Dysmorphia among University Male Students in Argentina

Male body dissatisfaction has been associated with drive for muscularity and, in extreme cases, with the clinical condition referred to as muscle dysmorphia (MD). Although recent research suggests that MD is closely linked to eating disorders (EDs), it is classed as a subtype of body dysmorphic disorder. A cross-sectional study was conducted among 402 university male students in Buenos Aires to examine common factors in the development of EDs and MD. Multiple regression analyses were performed to assess the predictive value of the investigated variables. For both conditions, the models accounted for 48 percent of the variance and were predicted by a similar set of variables. The results support the inclusion of MD within the EDs spectrum.
Simultaneous multiple well-seismic ties using flattened synthetic and real seismograms

ABSTRACTWell-seismic ties allow rock properties measured at well locations to be compared with seismic data and are therefore useful for seismic interpretation. Numerous methods have been proposed to compute well-seismic ties by correlating real seismograms with synthetic seismograms computed from velocity and density logs. However, most methods tie multiple wells to seismic data one by one; hence, they do not guarantee lateral consistency among multiple well ties. We therefore propose a method to simultaneously tie multiple wells to seismic data. In this method, we first flatten synthetic and corresponding real seismograms so that all seismic reflectors are horizontally aligned. By doing this, we turn multiple well-seismic tying into a 1D correlation problem. We then compute only vertically variant but laterally constant shifts to correlate these horizontally aligned (flattened) synthetic and real seismograms. This two-step correlation method maintains lateral consistency among multiple well ties by comp.
SCHUMPETERIAN COMPETITIVE DYNAMICS AND ECONOMIC LEARNING: AN ECONOMY-WIDE RESOURCE-BASED VIEW

Economic learning, by analogy with organizational learning, results in the development of economic competences, or capabilities, shared between firms. These competences rest on a foundation of economic resources, from which value is generated, and economic routines, through which resources are utilized. It is the mobility of resources, and their exchange and production dynamics, along evolutionary pathways, which underpins the plausibility of a notion of economic learning. The paper elaborates this framework as a “resource-based view” of the economy, conceived as an extension of the resource-based view (RBV) of the firm. Such a perspective brings into focus the resource cycles that drive real economies, as well as the resource specialization and configuration, within firms and between firms, that translates into enhanced or diminished economic performance in the economy as a whole.
The N2 corpus: A semantically annotated collection of Islamist extremist stories

We describe the N2 (Narrative Networks) Corpus, a new language resource. The corpus is unique in three important ways. First, every text in the corpus is a story, which is in contrast to other language resources that may contain stories or story-like texts, but are not specifically curated to contain only stories. Second, the unifying theme of the corpus is material relevant to Islamist Extremists, having been produced by or often referenced by them. Third, every text in the corpus has been annotated for 14 layers of syntax and semantics, including: referring expressions and co-reference; events, time expressions, and temporal relationships; semantic roles; and word senses. In cases where analyzers were not available to do high-quality automatic annotations, layers were manually double-annotated and adjudicated by trained annotators. The corpus comprises 100 texts and 42,480 words. Most of the texts were originally in Arabic but all are provided in English translation. We explain the motivation for constructing the corpus, the process for selecting the texts, the detailed contents of the corpus itself, the rationale behind the choice of annotation layers, and the annotation procedure.
Model Generation for an Intrusion Detection System Using Genetic Algorithms

This experiment analyzed the effectiveness of a genetic algorithm applied to the detection of computer intrusions and malicious computer behavior. The use of genetic algorithms to detect malicious computer behavior is a novel approach to the computer network intrusion detection problem presented in designing an Intrusion Detection System. A genetic algorithm is a method of artificial intelligence problem-solving based on the theory of Darwinian evolution applied to mathematical models. The genetic algorithm designed for this experiment promoted a high detection rate of malicious behavior and a low false positive rate of normal behavior classified as malicious. The genetic algorithm was given “training data” from which an empirical model of malicious computer behavior was generated. This model was then tested over previously unseen data to gauge its real-world performance. The results presented show that the genetic algorithm was successfully able to generate an accurate empirical behavioral model from training data and then able to successfully apply this empirical knowledge to data never seen before. The final model produced had an overall accuracy level of 97.8%, which showed both a high detection rate and an extremely low false positive rate. From these results, it was concluded that genetic algorithms are a viable method for empirical model generation for computer intrusion detection.
Component weighting functions for adaptive search with EDAs

This paper introduces the component weighting approach as a general optimization heuristic to increase the likelihood of escaping from local optima by dynamically modifying the fitness function. The approach is tested on the optimization of the simplified hydrophobic-polar (HP) protein problem using estimation of distribution algorithms (EDAs). We show that the use of component weighting together with statistical information extracted from the set of selected solutions considerably improve the results of EDAs for the HP problem. The paper also elaborates on the use of probabilistic modeling for the definition of dynamic fitness functions and on the use of combinations of models.
Investigation of the Sense Responsibility and Lifestyles of Sport-Scientific Faculty Students

This study was conducted to determine the levels of perception of aphasia (alexithymia) and loneliness in university students. The model of the research is descriptive and cross-sectional. It was held between February 1 and May 31, 2017. Survey form was used as data collection tool in the research. The questionnaire consists of personal information consisting of 8 questions, Toronto Alexithymia (TAS) scale consisting of 26 questions and UCLA loneliness scale consisting of 20 questions. The Toronto Alexithymia scale (TAS) scale is a self-reported scale consisting of 26 questions and 4 subscales to scale the alexithymic characteristics of individuals. The scale was developed by Taylar and Bagby (1988), first used by Dereboy (1990) in the expertise thesis and adapted to Turkish by Varol (1998). Scale sub-dimensions and Cronbach's Alpha coefficients obtained in this study are given respectively. 0.752 for the imagination, 0,752 for the constraint sub-dimension in the case of dreams, 0,761 for the sub-dimension of difficulty in distinguishing and recognizing feelings and physical senses, 0,718 for the sub-dimension of recognizing, recognizing and talking about emotion, and cognitive structure sub- was found to be 0.784. The scale was developed by Russell and colleagues and reorganized by Russell et al. (1980). The Turkish reliability and validity study of the scale was conducted by Yaparel (1984). The scale is one-dimensional. In this study, Cronbach's Alpha coefficient for the UCLA scale was 0,782. The universe of the research is constituted by students from the Department of Teaching, Coaching Department, Management Department and Recreation Department of the Faculty of Sports Sciences of Firat University in 2016-2017. The sample of the research consists of 350 students who are educated in these sections. A simple coincidental voluntary sampling method was used in the selection of the sample. In the reliability of the sample, sample size calculation formula prepared by Yazicioglu and Erdogan (2004) was used. The data were analyzed in the SPSS 16 packet program. In the analysis of the data, descriptive statistics, t test, anova test and correlation analysis were used.
Formation control of cooperative robots with limited sensing using a virtual robot as reference

The task of formation maintenance is of great importance in high level applications being executed by multirobot systems, such as exploration, surveillance and cleaning, among others. This article presents a strategy for formation maintenance in a group of mobile, cooperative, homogenous robots, which work together with a software agent known as “virtual robot”. This virtual agent acts as reference for the spatial localization of each robot, and facilitates the navigation tasks of the group. This approach combines the characteristics of other well known formation reference strategies: leader- and unit-center referenced formations. The proccess of validating this strategy was obtained from both simulated and real multirobot systems.
Semi-supervised topic modeling for image annotation

We propose a novel technique for semi-supervised image annotation which introduces a harmonic regularizer based on the graph Laplacian of the data into the probabilistic semantic model for learning latent topics of the images. By using a probabilistic semantic model, we connect visual features and textual annotations of images by their latent topics. Meanwhile, we incorporate the manifold assumption into the model to say that the probabilities of latent topics of images are drawn from a manifold, so that for images sharing similar visual features or the same annotations, their probability distribution of latent topics should also be similar. We create a nearest neighbor graph to model the manifold and propose a regularized EM algorithm to simultaneously learn a generative model and assign probability density of latent topics to images discriminatively. In this way, databases with very few labeled images can be annotated better than previous works.
Analysis of communities in a mythological social network

The intriguing nature of classical Homeric narratives has always fascinated the occidental culture contributing to philosophy, history, mythology and straight forwardly to literature. However what would be so intriguing about Homer's narratives' At a first gaze we shall recognize the very literal appeal and aesthetic pleasure presented on every page across Homer's chants in Odyssey and rhapsodies in Iliad. Secondly we may perceive a biased aspect of its stories contents, varying from real-historical to fictional-mythological. To encompass this glance, there are some new archeological finding that supports historicity of some events described within Iliad, and consequently to Odyssey. Considering these observations and using complex network theory concepts, we managed to built and analyze a social network gathered across the classical epic, Odyssey of Homer. Longing for further understanding, topological quantities were collected in order to classify its social network qualitatively into real or fictional. It turns out that most of the found properties belong to real social networks besides assortativity and giant component's size. In order to test the network's possibilities to be real, we removed some mythological members that could imprint a fictional aspect on the network. Carrying on this maneuver the modified social network resulted on assortative mixing and reduction of the giant component, as expected for real social networks. Overall we observe that Odyssey might be an amalgam of fictional elements plus real based human relations, which corroborates other author's findings for Iliad and archeological evidences.
Using memetic algorithms for test case prioritization in model based software testing

Building high quality software is one of the main goals in software industry. Software testing is a critical step in confirming the quality of software. Testing is an expensive activity because it consumes about 30% to 50% of all software developing cost. Today much research has been done in generating and prioritizing tests. First, tester should find the most important and critical path in software. They can reduce cost by finding errors and preventing to propagate it in design step. In this paper, a model based testing method is introduced. This method can prioritize tests using activity diagram, control flow graph, genetic and memetic algorithm. Different version of memetic algorithm has been made by stochastic local search, randomize iterative improvement, hill climbing and simulated annealing algorithms. The results show that the using local search methods with genetic algorithm (GA) provide efficiency and produce competitive results in comparison with GA.
Optimal Impedance Force-Tracking Control Design With Impact Formulation for Interaction Tasks

The letter presents a force-tracking impedance controller granting a free-overshoots contact force (mandatory performance for many critical interaction tasks such as polishing) for partially unknown interacting environments (such as leather or hard-fragile materials). As in many applications, the robot has to gently approach the target environment (whose position is usually not well-known), then execute the interaction task. Therefore, the algorithm has been designed to deal with both the free space approaching motion (phase a.) and the succeeding contact task (phase b.) without switching from different control logics. Control gains have to be properly calculated for each phase in order to achieve the target force tracking performance (i.e., free-overshoots contact force). In detail, phase a. control gains are optimized based on the impact collision model to minimize the force error during the following contact task, while phase b. control gains are analytically calculated based on the solution of the LQR optimal control problem. The analytical solution grants the continuous adaptation of the control gains during the contact phase on the estimated value of the environment stiffness (obtained through an on-line extended Kalman filter). A probing task has been carried out to validate the performance of the control with partially unknown contact environment properties. Results show the avoidance of force overshoots and instabilities.