Miracle-dz/UniFAR-FTUs huggingface dataset:
Multilayer concept factorization for data representation

Previous studies have demonstrated that Concept Factorization (CF) have yielded impressive results for dimensionality reduction and data representation. However, it is difficult to get a desired result by using single layer concept factorization for some complex data, especially for ill-conditioned and badly scaled data. To improve the performance of the existing CF algorithms, in this paper, we proposed a novel clustering approach, called Multilayer Concept Factorization (MCF), for data representation. MCF is a cascade connection of L mixing subsystems to decompose the observation matrix iteratively in a number of layers. Meanwhile, we explore the corresponding update solutions of the MCF method to reduce the risk of getting stuck in local minima in non-convex alternating computations. Experimental results on document and face dataset demonstrate that our proposed method achieves better clustering performance in terms of accuracy and normalized mutual information in clustering.
Continuity of Discourse Provides Information for Word Learning

Utterances that are close in time are more likely to share the same referent. A word learner who is using information about the speaker’s intended referents should be able to take advantage of this continuity and learn words more efficiently by aggregating information across multiple utterances. In the current study we use corpus data to explore the continuity of reference in caregivers’ speech to infants. We measure the degree of referential continuity in two corpora and then use regression modeling to test whether reference continuity is informative about speakers’ referential intentions. We conclude by developing a simple discourse-continuity prior within a Bayesian model of word learning. Our results suggest that discourse continuity may be a valuable information source in early word learning.
Impact of career self-efficacy on career exploration behavior.

In the present study the impact of career self efficacy on career exploration behaviour of final year bachelor of business administration students who are in Faculty of Management Studies and Commerce were analysed. Totally there are 240 students . Convenience random sampling technique was used to collect the data. Hundred and sixty questions were issued and only hundred and one questionnaires were returned. Present study used Career Decision Self efficacy Scale –Short Form to measure the Career Decision Self efficacy. To measure career self efficacy, Career self-Efficacy Sources Scale was used. Career Exploration Survey-Revised Scale was used to measure Career Exploration behavior. This was developed by Nasta (2007). According to the analysis it is clear that Career decision Self Efficacy has significantly explained by the Career Self Efficacy (R2 Square) is=. 326) and Career exploration behavior has significantly explained by the Career Self Efficacy (R2 Square) is=. 434). There is a positive relationship between Career Self Efficacy and career decision self efficacy(r-.571). Correlation between Career Self Efficacy and Career Exploration Behavior is . 659**.
Under Consideration for Publication in Theory and Practice of Logic Programming the Kb Paradigm and Its Application to Interactive Configuration

The knowledge base paradigm aims to express domain knowledge in a rich formal language , and to use this domain knowledge as a knowledge base to solve various problems and tasks that arise in the domain by applying multiple forms of inference. As such, the paradigm applies a strict separation of concerns between information and problem solving. In this paper, we analyze the principles and feasibility of the knowledge base paradigm in the context of an important class of applications: interactive configuration problems. In interactive configuration problems, a configuration of interrelated objects under constraints is searched, where the system assists the user in reaching an intended configuration. It is widely recognized in industry that good software solutions for these problems are very difficult to develop. We investigate such problems from the perspective of the KB paradigm. We show that multiple functionalities in this domain can be achieved by applying different forms of logical inferences on a formal specification of the configuration domain. We report on a proof of concept of this approach in a real-life application with a banking company.
Complete identification of alkali sites in ion conducting lithium silicate glasses: a computer study of ion dynamics.

The available sites for ions in a typical disordered ionic conductor are determined. For this purpose we devised a straightforward algorithm which via cluster analysis identifies these sites from long time ionic trajectories below the glass transition. This is exemplified for a lithium silicate glass (Li2O)(x)(SiO2)((1-x)) for x=0.5 and x=0.1. We find for both concentrations that the number of sites is only slightly bigger than the number of ions. This result suggests a theoretical description of the dynamics in terms of mobile vacancies as most appropriate. Furthermore, identification of the ionic sites allows one to obtain detailed characteristics of the ionic motion, e.g., quantification of correlated forward-backward jumps.
TOPLESS Regulates Apical Embryonic Fate in Arabidopsis

The embryos of seed plants develop with an apical shoot pole and a basal root pole. In Arabidopsis, the topless-1 (tpl-1) mutation transforms the shoot pole into a second root pole. Here, we show that TPL resembles known transcriptional corepressors and that tpl-1 acts as a dominant negative mutation for multiple TPL-related proteins. Mutations in the putative coactivator HISTONE ACETYLTRANSFERASE GNAT SUPERFAMILY1 suppress the tpl-1 phenotype. Mutations in HISTONE DEACETYLASE19, a putative corepressor, increase the penetrance of tpl-1 and display similar apical defects. These data point to a transcriptional repression mechanism that prevents root formation in the shoot pole during Arabidopsis embryogenesis.
FES-induced muscular torque prediction with evoked EMG synthesized by NARX-type recurrent neural network

Functional electrical stimulation (FES) is able to restore motor function of spinal cord injured (SCI) patients. To make adaptive FES control taking into account the actual muscle state with muscular feedback information, torque estimation and prediction are important to be provided beforehand. Evoked EMG (eEMG) has been found to be highly correlated with FES-induced torque under various muscle conditions, indicating that it can be an useful tool for torque/force prediction. To better construct the relationship between eEMG and stimulated muscular torque, nonlinear-arx-type (NARX-type) model is preferred. This paper presents and exploits a NARX-type recurrent neural network (NARX-RNN) model for identification and prediction of FES-induced muscular dynamics with eEMG. Such NARX-RNN model is with a novel architecture for prediction, with robust prediction performance. To make fast convergence for identification of such NARX-RNN, directly-learning pattern is exploited during the learning phase. Due to difficulty of choosing a proper forgetting factor of Kalman filter for predicting time-variant torque with eEMG, such NARX-RNN may be considered to be a better alternative as torque predictor. Data gathered from two SCI patients is used to evaluate the proposed NARX-RNN model. The NARX-RNN model shows promising estimation and prediction performance only based on eEMG.
To enhance transparency of a piezo-actuated tele-micromanipulator using passive bilateral control

SUMMARY This paper presents the research work on a 1 degree of freedom (DOF) force reflecting tele-micromanipulation system. This system enables a human operator to position remote objects very precisely having haptic feedback. The slave robot is a nano-positioning piezo-actuator with hysteretic dynamics. This intrinsic nonlinearity results in positioning inaccuracy and instability. Hence, a LuGre friction model is employed to model and compensate for this undesirable behavior. By means of a transformation, the 2-DOF master–slave system (1-DOF each) is decomposed into two 1-DOF new systems: the shape system, representing the master–slave position coordination, and the locked system, representing dynamics of the coordinated system. A key innovation of this paper is to generalize this approach to the hysteresis-type nonlinear teleoperated systems. For the shape system, a position tracking controller is designed in order to achieve position coordination. This position coordination is guaranteed not only in free space motion, but also during contact at the slave side. Furthermore, a force tracking controller is designed for the locked system in order to achieve tracking of the force exerted on the master and slave robots. Using this force controller, transparency is remarkably enhanced. Based on the virtual flywheels concept, passivity of the closed-loop teleoperator is guaranteed against dynamic parameter uncertainties and force measurement inaccuracies. The simulation and experimental results verify the capability of the proposed control architectures in achieving high-level tracking of the position and force signals while the system remains stable.
Long non-coding RNA stabilizes the Y-box-binding protein 1 and regulates the epidermal growth factor receptor to promote lung carcinogenesis

Indoor and outdoor air pollution has been classified as group I carcinogen in humans, but the underlying tumorigenesis remains unclear. Here, we screened for abnormal long noncoding RNAs (lncRNAs) in lung cancers from patients living in Xuanwei city which has the highest lung cancer incidence in China due to smoky coal combustion-generated air pollution. We reported that Xuanwei patients had much more dysregulated lncRNAs than patients from control regions where smoky coal was not used. The lncRNA CAR intergenic 10 (CAR10) was up-regulated in 39/62 (62.9%) of the Xuanwei patients, which was much higher than in patients from control regions (32/86, 37.2%; p=0.002). A multivariate regression analysis showed an association between CAR10 overexpression and air pollution, and a smoky coal combustion-generated carcinogen dibenz[a,h]anthracene up-regulated CAR10 by increasing transcription factor FoxF2 expression. CAR10 bound and stabilized transcription factor Y-box-binding protein 1 (YB-1), leading to up-regulation of the epidermal growth factor receptor (EGFR) and proliferation of lung cancer cells. Knockdown of CAR10 inhibited cell growth in vitro and tumor growth in vivo. These results demonstrate the role of lncRNAs in environmental lung carcinogenesis, and CAR10-YB-1 represents a potential therapeutic target.
Modeling Diffusion in Social Networks Using Network Properties

Diffusion of items occurs in social networks due to spreading of items through word of mouth and exogenous factors. These items may be news, products, videos, advertisements or contagious viruses. Previous research has studied diffusion process at both the macro and micro levels. The former models the number of item adopters in the diffusion process while the latter determines which individuals adopt item. In this paper, we establish a general probabilistic framework, which can be used to derive macro-level diffusion models, including the well known Bass Model (BM). Using this framework, we develop several other models considering the social network’s degree distribution coupled with the assumption of linear influence by neighboring adopters in the diffusion process. Through some evaluation on synthetic data, this paper shows that degree distribution actually changes during the diffusion process. We therefore introduce a multi-stage diffusion model to cope with variable degree distribution. By conducting experiments on both synthetic and real datasets, we show that our proposed diffusion models can recover the diffusion parameters from the observed diffusion data, which allows us to model diffusion with high accuracy.
The Warburg Effect Is Genetically Determined in Inherited Pheochromocytomas

The Warburg effect describes how cancer cells down-regulate their aerobic respiration and preferentially use glycolysis to generate energy. To evaluate the link between hypoxia and Warburg effect, we studied mitochondrial electron transport, angiogenesis and glycolysis in pheochromocytomas induced by germ-line mutations in VHL, RET, NF1 and SDH genes. SDH and VHL gene mutations have been shown to lead to the activation of hypoxic response, even in normoxic conditions, a process now referred to as pseudohypoxia. We observed a decrease in electron transport protein expression and activity, associated with increased angiogenesis in SDH- and VHL-related, pseudohypoxic tumors, while stimulation of glycolysis was solely observed in VHL tumors. Moreover, microarray analyses revealed that expression of genes involved in these metabolic pathways is an efficient tool for classification of pheochromocytomas in accordance with the predisposition gene mutated. Our data suggest an unexpected association between pseudohypoxia and loss of p53, which leads to a distinct Warburg effect in VHL-related pheochromocytomas.
I'SVCHOl.OCilCAL SCIENCE Coiimicntaiv

non monotonic rc:isonin)i. Xriil'i, ml Intrllige'ur. Li. 21W Mcrioskcy. S\ . A t'ohcn. N.J, ll^S^). (.'iiliislmiiiiit mU'rCcrcncc in connectionisl nclwoiksTlie sequential loiirning prolilcni. P.^yi lii>to\;iiiil Lenrnin^ and Motivation: Aiivniici-s in Research ami Theory. .V. I(W-165, Minskv. M. (i'^Hd). The S<H ietv iil minds. New York: Simon and Schuster, NcwcU, A (1473). Prodiiclion systems: ModcK ul* control struuturcs In W.C. Chusc (f-'d,t, \isual informntion / r .x CV.VI/TI,' (pp. 4fi3-52(i) New York: Academic Press Newell, A. lI'̂ ^HD. llnififd theories of eognitinn. Cambndge. MA: Harviird University Press. Newell, A. , Shaw. J . C . & Simon. H.A. (\9f-A). Elements of a theory of human prohlem solving. PsychologUiil Review. 65. I. ";! -! ;*. Newell. A. & Simon, H.A. (1%3). GPS, a program that simulates human thought. In E.A. Feigenbaum & J. Feldman (Fds.l, Computers und thought ipp. 27%-2'i? '). New York: McGrawHill. Nilsson, N. (WSO). Principles of artificial intelligence. Palo Alto. CA: Tioga Press. Palmer. S. (1978J. Aspects of represenlalron. In E. Rosch & B.BLloyd (Edb.! . Computing and categorization (pp. 259-303). Hillsdale. NJ; Erlbaum. Powefl. DJ. Tong. S.S. , & Skolmck. M.M, (1989). EnGENEous domain independent, machine leaming for design optimization. Proceedings of the Third international Conference on Genetic Algorithms. Los Allos, CA: Morgan Kiiiilniiin. Powers. W.T. (1973). liehavinr: The control of pcrii-ptiiin. Chicago: Aldinc. Powers. W,T, (147H), Qualitiilivc analysis of purposive ^y. '. lc•ms: Some spjdcwork a! (he foundations of scientiHc psychology. Psvchotogical Review. S5, 4I7--135. Ratcliff. R(lMW). Connectionist models of recognition memory: Constraints imposed by (earning iind forgetting functions. Psychological Review. <iS. :85-3O8, Rosenbloom, P.S, (1983). The chunking of goal hierarchies: A model of practice and stimulusresponse compatibility, Pittsburgh. PA: Ph.D. dissertation. Computer Science Department, Carnegie-Mellon University. Rumelhart. D,E,. & McClelland. J.L. (1986), On learning the past lenses of English verbs. In D.E. Rumelhart, J.L. McClelland, and the PDP research group. Parallel distributed processing: Explorations in the microstruclure of cognition. 2. 216-271.
The C-ORAL-ROM Project. New methods for spoken language archives in a multilingual romance corpus

C-ORAL-ROM is a multilingual corpus of spontaneous speech of around 1.200. 000 words representing the four main Romance languages: French, Italian, Portuguese and Spanish. The resource will be delivered in standard textual format, aligned to the audio source in a multimedia edition. C-ORAL-ROM aims to ensure both a sufficient representation of spontaneous speech variation in each language resource, and comparability among the four resources with respect to a definite set of variation parameters. The multimedia conception of C-ORAL-ROM allows simultaneously alignment and full appreciation of the acoustic information through the speech software WINPITCHCORPUS. The storage of spoken language resources is based on the identification of utterances in the four corpora through perceptively relevant prosodic properties. In C-ORAL-ROM, all the textual information is tagged simultaneously with respect to prosodic parsing and utterance limits. Each prosodic unit corresponding to an utterance is easily and directly aligned to its acoustic counterpart, thus ensuring a natural text sound correspondence and the definition of a data base of possible speech acts in the four romance languages.
LEGi: context-aware lexicon consolidation by graph inspection

The value of subjective content available in Social Media has boosted the importance of Sentiment Analysis on this kind of scenario. However, performing Sentiment Analysis on Social Media is a challenging task, since the huge volume of short textual posts and high dynamicity inherent to it pose strict requirements of efficiency and scalability. Despite all efforts, the literature still lacks proposals that address both requirements. In this sense, we propose LEGi, a corpus-based method for consolidating context-aware sentiment lexicons. It is based on a semi-supervised strategy for propagation of lexicon-semantic classes on a transition graph of terms. Empirical analyses on two distinct domains, derived from Twitter, demonstrate that LEGi outperformed four well-established methods for lexicon consolidation. Further, we found that LEGi's lexicons may improve the quality of the sentiment analysis performed by a traditional method in the literature. Thus, our results point out LEGi as a promising method for consolidating lexicons in high demanding scenarios, such as Social Media.
Connectivity versus area coverage in unmanned aerial vehicle networks

We investigate the area coverage and connectivity of an autonomous, unmanned aerial vehicle (UAV) network, whose goal is to monitor and sense a given area of interest in an efficient manner. To this end, we propose a connectivity-based mobility model that aims to sustain connectivity between the UAVs and the ground station. We compare coverage and connectivity performance of the proposed scheme with a coverage-based mobility scheme in several scenarios. Results illustrate the trade-off between achieving good spatial coverage and staying connected.
On-Demand Software Streaming System for Embedded System

Many embedded computers are running with extremely limited resources and the need for optimizing resource utilization is increasing. In this paper we present the design and implementation of software streaming system that can reduce user waiting time and improve storage utilization. While traditional operating system loads program from local storage, software streaming system loads it from a remote server. The software streaming server divides executable file into basic code blocks and sends only the required code blocks instead of the whole file. We have implemented the streaming system on the embedded Linux using a streaming file system. Experimental results show that our streaming system can save storage up to 50%. Using our software streaming technique, embedded system can provide shorter waiting time to users when using new application as compared to traditional system
HIV-1 Vpr Triggers Natural Killer Cell–Mediated Lysis of Infected Cells through Activation of the ATR-Mediated DNA Damage Response

Natural killer (NK) cells are stimulated by ligands on virus-infected cells. We have recently demonstrated that NK cells respond to human immunodeficiency virus type-1 (HIV-1)-infected autologous T-cells, in part, through the recognition of ligands for the NK cell activating receptor NKG2D on the surface of the infected cells. Uninfected primary CD4pos T-cell blasts express little, if any, NKG2D ligands. In the present study we determined the mechanism through which ligands for NKG2D are induced on HIV-1-infected cells. Our studies reveal that expression of vpr is necessary and sufficient to elicit the expression of NKG2D ligands in the context of HIV-1 infection. Vpr specifically induces surface expression of the unique-long 16 binding proteins (ULBP)-1 and ULBP-2, but not ULBP-3, MHC class I-related chain molecules (MIC)-A or MIC-B. In these studies we also demonstrated that Vpr increases the level of ULBP-1 and ULBP-2 mRNA in primary CD4pos T-cell blasts. The presence of ULBP-1 and ULBP-2 on HIV-1 infected cells is dependent on the ability of Vpr to associate with a protein complex know as Cullin 4a (Cul4a)/damaged DNA binding protein 1 (DDB1) and Cul4a-associated factor-1(DCAF-1) E3 ubiquitin ligase (Cul4aDCAF-1). ULBP-1 and -2 expression by Vpr is also dependent on activation of the DNA damage sensor, ataxia telangiectasia and rad-3-related kinase (ATR). When T-cell blasts are infected with a vpr-deficient HIV-1, NK cells are impaired in killing the infected cells. Thus, HIV-1 Vpr actively triggers the expression of the ligands to the NK cell activation receptor.
Valproic Acid Downregulates the Expression of MGMT and Sensitizes Temozolomide-Resistant Glioma Cells

Temozolomide (TMZ) has become a key therapeutic agent in patients with malignant gliomas; however, its survival benefit remains unsatisfactory. Valproic acid (VPA) has emerged as an anticancer drug via inhibition of histone deacetylases (HDACs), but the therapeutic advantages of a combination with VPA and TMZ remain poorly understood. The main aim of the present study was to determine whether an antitumor effect could be potentiated by a combination of VPA and TMZ, especially in TMZ-resistant cell lines. A combination of VPA and TMZ had a significantly enhanced antitumor effect in TMZ-resistant malignant glioma cells (T98 and U138). This enhanced antitumor effect correlated with VPA-mediated reduced O6-methylguanine-DNA methyltransferase (MGMT) expression, which plays an important role in cellular resistance to alkylating agents. In vitro, the combination of these drugs enhanced the apoptotic and autophagic cell death, as well as suppressed the migratory activities in TMZ-resistant cell lines. Furthermore, in vivo efficacy experiment showed that treatment of combination of VPA and TMZ significantly inhibited tumor growth compared with the monotherapy groups of mice. These results suggest that the clinical efficacy of TMZ chemotherapy in TMZ-resistant malignant glioma may be improved by combination with VPA.
Subdiffraction Multicolor Imaging of the Nuclear Periphery with 3D Structured Illumination Microscopy

Fluorescence light microscopy allows multicolor visualization of cellular components with high specificity, but its utility has until recently been constrained by the intrinsic limit of spatial resolution. We applied three-dimensional structured illumination microscopy (3D-SIM) to circumvent this limit and to study the mammalian nucleus. By simultaneously imaging chromatin, nuclear lamina, and the nuclear pore complex (NPC), we observed several features that escape detection by conventional microscopy. We could resolve single NPCs that colocalized with channels in the lamin network and peripheral heterochromatin. We could differentially localize distinct NPC components and detect double-layered invaginations of the nuclear envelope in prophase as previously seen only by electron microscopy. Multicolor 3D-SIM opens new and facile possibilities to analyze subcellular structures beyond the diffraction limit of the emitted light.