Miracle-dz/UniFAR-FTUs huggingface dataset:
Intellectual humility and openness to the opposing view

Abstract Strong disagreements have stymied today’s political discourse. We investigate intellectual humility – recognizing the limits of one’s knowledge and appreciating others’ intellectual strengths – as one factor that can make disagreements more constructive. In Studies 1 and 2, participants with higher intellectual humility were more open to learning about the opposition’s views during imagined disagreements. In Study 3, those with higher intellectual humility exposed themselves to a greater proportion of opposing political perspectives. In Study 4, making salient a growth mindset of intelligence boosted intellectual humility, and, in turn, openness to opposing views. Results suggest that intellectual humility is associated with openness during disagreement, and that a growth mindset of intelligence may increase intellectual humility. Implications for current political polarization are discussed.
A realtime brain-computer interface based on PDA

A system that uses the human ability to control a portable video game device through some electroencephalographic (EEG) rhythms has been presented. The neural signals obtained by EEG recording equipment are sent through a Web Service technology connection to a PC that processes it in real time and sends it wirelessly to a mobile gaming device. Web Service has been used as a wireless technology for sending EEG signals to a PC and vice versa, the PDA gets the command from the PC though the Web Service technology, which has been proposed and furthers it showing that the system is reliable and robust enough to work in BCI systems. In this study we have investigated the human's ability to play a video game by manipulating neuronal motor cortex activity in the presence of a visual feedback environment. This paper presents one of these solutions, which control games by BCI based on motor imagery. This type of BCI solution is translating the motor imagery EEG into three control signals: left, right or transmutation. And then use it as an input device of a simple game player to realize the function of operating games.
Building Agents to Serve Customers

AI agents combining natural language interaction, task planning, and business ontologies can help companies provide better-quality and more cost-effective customer service. Our customer-service agents use natural language to interact with customers, enabling customers to state their intentions directly instead of searching for the places on the Web site that may address their concern. We use planning methods to search systematically for the solution to the customer's problem, ensuring that a resolution satisfactory for both the customer and the company is found, if one exists. Our agents converse with customers, guaranteeing that needed information is acquired from customers and that relevant information is provided to them in order for both parties to make the right decision. The net effect is a more frictionless interaction process that improves the customer experience and makes businesses more competitive on the service front.
The IL-27 Receptor (WSX-1) Is an Inhibitor of Innate and Adaptive Elements of Type 2 Immunity1

Although previous studies have investigated the role of IL-27/WSX-1 interactions in the regulation of Th1 responses, little is known about their role in regulating Th2-type responses. Studies presented in this work identify a direct role for IL-27/WSX-1 interactions in the negative regulation of type 2 responses independent of effects on type 1 cytokines. WSX-1−/− mice infected with the gastrointestinal helminth Trichuris muris displayed accelerated expulsion of parasites and the development of exaggerated goblet cell hyperplasia and mastocytosis in the gut due to increased production of Th2 cytokines. Enhanced mast cell activity in the absence of WSX-1 was consistent with the ability of wild-type mast cells to express this receptor. In addition, IL-27 directly suppressed CD4+ T cell proliferation and Th2 cytokine production. Together, these studies identify a novel role for IL-27/WSX-1 in limiting innate and adaptive components of type 2 immunity at mucosal sites.
Object Modeling from a Casual Collection of Images

Object modeling from a casual collection of images has found a range of applications including product advertisement over the web and visualization of museum objects. We have first analysed the current techniques in the context of a three-dimensional complexity space: Image collection cost, data storage requirements, and information processing complexity. It is clear that none of them is optimal in that space. Our goal is to develop an object modeling system that is flexible, robust and affordable. A preliminary version of our prototype system is presented in this paper. We discuss components of our system such as flexible camera calibration and robust surface extraction, and present initial couraging results.
Pregroup Grammars and Context-free Grammars

Pregroup grammars were introduced by Lambek [20] as a new formalism of type-logical grammars. They are weakly equivalent to context-free grammars [8]. The proof in one direction uses the fact that context-free languages are closed under homomorphism and inverse homomorphism. Here we present a direct construction of a context-free grammar and a push-down automaton, equivalent to a given pregroup grammar. The size of the resulting contextfree grammar (push-down automaton) is polynomial in the size of the pregroup grammar, while the construction proposed in Béchet [4] is exponential. We also obtain similar results for pregroup grammars based on a full system of Compact Bilinear Logic in the form of [11]. First, we recall some basic notions related to type logics, pregroups, Compact Bilinear Logic and pregroup grammars. Context-free grammars and push-down automata will not be defined; the reader is referred to any standard textbook on mathematical linguistics.
TCLOUD: A Trusted Storage Architecture for Cloud Computing

The cloud storage provides a least cost means of data storage for the small and large enterprises across the globe. But the main barricade to wide spread adoption of cloud storage is the lake of trust in the technology by its user. The data is stored on multiple servers and the location is concealed from the customers and they are no more in control of the data. This distinctive feature of the cloud storage presents many security and trust challenges. In this paper we present a trusted architecture of cloud data storage. The architecture presents a unique way of secure storage and accessing of data from the cloud data center. It also ensured that only authorized user will be able to access the data. Additionally, if there is any violation of the security parameter at the data center, the data will still be safe i.e. the data will be stored in encrypted form.
Dynamic motion editing by combining an extension of the prioritized inverse kinematics with active dynamic control

By combining prioritized inverse kinematics with active dynamic control, a more intuitive and efficient dynamic motion editing framework is presented. After the original motion data is given, the users only need to set desired motion features or constraints intuitively in either task or joint space. The prioritized inverse kinematics algorithm is extended to the acceleration level to generate desired joint accelerations which satisfy those new high-level constraints based on the priority strategy and simultaneously track the original motion data as much as possible. Using joint accelerations produced by the extended PIK component, the active joint torques required for the tracking control are generated by the model-based inverse dynamics with contact constraints considered. When dynamic interactions are happened, a responsive animation with a short duration is generated first and then the transition is used to return back to usually dynamic motion tracking. Finally, through experimental results, it is shown that our dynamic motion editing framework adapts easily to different tasks and dynamic interactions.
3View deep canonical correlation analysis for cross-modal retrieval

This paper investigates the problem of modeling Internet images and associated text for cross-modal retrieval tasks such as text-to-image search, and image-to-text search. Canonical correlation analysis (CCA), a classic two view approach for mapping text and image into a common latent space, does not make use of the semantic information of text and image pairs. We use CCA to map text, image and semantic information into a common latent space, in which the correlation of the three views is maximized. To improve the performance of CCA, in this paper, 3view-Deep Canonical Correlation Analysis (3view-DCCA), a nonlinear expansion of CCA is proposed to learn the complex nonlinear transformations between the three views. Like most deep learning methods, DCCA is easy to over-fitting. To overcome over-fitting, we add the reconstruct loss of each view into the loss function, which include the correlation loss of every two views and regularization of parameters. Inspired by PageRank, we propose a search-based similarity method to score relevance. The proposed model (3view-DCCA) is evaluated on three publicly available data sets from real scenes. We demonstrate that our deep model performs significantly better than traditional canonical correlation analysis based models and several other deep learning models on cross-modal retrieval tasks.
On the computation of Lyapunov functions for interconnected systems

This paper addresses the computation of additively separable Lyapunov functions for interconnected systems. The presented results can be applied to reduce the complexity of the computations associated with stability analysis of large scale systems. We provide a necessary and sufficient condition for the existence of an additively separable Lyapunov function; subsequently, sparsity conditions are given for finding additively separable polynomial Lyapunov functions for both local and global stability of polynomial systems.
Group anonymous D2D communication with end-to-end security in LTE-A

Device-to-device (D2D) communication in LTE-A standardized as proximity services (ProSe) has satisfied only basic security requirements, such as mutual authentication and key exchange by the security architecture. However, the applications of ProSe and Public Safety additionally require end-to-end security and anonymous protection (i.e., group anonymity). Therefore, this work presents two authenticated key exchange protocols for end-to-end security and group anonymous protection in network-covered and network-absent D2D communications, respectively. With group anonymous protection, users of ProSe-enabled mobile devices can conceal their identity and group information during D2D communications. The anonymous protection also supports revocability and traceability to revoke mobile users and disclose the identity and group information of suspicious D2D communications in ProSe. In terms of security, two proposed schemes are proven by formal analyses. In terms of performance, we implement the group anonymous authentication protocol on android devices to evaluate the feasibility. In addition, we simulate the proposed protocols for network-covered and network-absent D2D communication to estimate authentication success rate.
PATTERN DISCOVERY AND ANALYSIS FROM SEMI-STRUCTURED DATA: THE AUTOMATIC REGENERATION OF PATTERNS

Web-mining is the application of data mining techniques to extract knowledge from the world wide web, including web documents, hyper-links between documents, etc. Content-mining is the second step in Web data mining which mines web pages text to determine the relevance of the content to the search query. In 2008, we have proposed WIEBMat (Wrapper Induction Environment Based on Matrices) a new web content mining method [1] . This paper aims to optimize pattern discovery of WIEBMat. Effectively, the process of discovering frequent patterns from semi-structured data is one of the most important weaknesses in every web-mining technique .
A Hybrid CDN-P2P System for Video-on-Demand

With the rapid development of network application, the use of media streaming system became more and more popular, greatly enhancing the user experience. But as the number of internet users is increasing sharply, the traditional Client-Server (C/S) architecture cannot afford so many clients (end-users), and the network scalability was so poor. The disadvantages of this C/S architecture became apparent. Some researchers and institutes have made great effort to design new application systems, such as Peer-to-Peer or CDN system, PPLive [4] and TrustStream [2], each having its set of advantages and disadvantages. This paper proposed a hybrid CDN-P2P system for Video-on-Demand system, and this can combine both the set of advantage of CDN and Peer-to-Peer system, as the reliability and quality control of CDN and the inherent scalability of a P2P system.
Towards introducing long-term statistics in MUSE for robust speech recognition

Keywords: speech ; kermorvant ; mokbel Reference EPFL-CONF-82516 URL: http://publications.idiap. ch/downloads/papers/1999/kermorvant_asru99. pdf Record created on 2006-03-10, modified on 2017-05-10
Consecutive Inhibition of ISG15 Expression and ISGylation by Cytomegalovirus Regulators

Interferon-stimulated gene 15 (ISG15) encodes an ubiquitin-like protein that covalently conjugates protein. Protein modification by ISG15 (ISGylation) is known to inhibit the replication of many viruses. However, studies on the viral targets and viral strategies to regulate ISGylation-mediated antiviral responses are limited. In this study, we show that human cytomegalovirus (HCMV) replication is inhibited by ISGylation, but the virus has evolved multiple countermeasures. HCMV-induced ISG15 expression was mitigated by IE1, a viral inhibitor of interferon signaling, however, ISGylation was still strongly upregulated during virus infection. RNA interference of UBE1L (E1), UbcH8 (E2), Herc5 (E3), and UBP43 (ISG15 protease) revealed that ISGylation inhibits HCMV growth by downregulating viral gene expression and virion release in a manner that is more prominent at low multiplicity of infection. A viral regulator pUL26 was found to interact with ISG15, UBE1L, and Herc5, and be ISGylated. ISGylation of pUL26 regulated its stability and inhibited its activities to suppress NF-κB signaling and complement the growth of UL26-null mutant virus. Moreover, pUL26 reciprocally suppressed virus-induced ISGylation independent of its own ISGylation. Consistently, ISGylation was more pronounced in infections with the UL26-deleted mutant virus, whose growth was more sensitive to IFNβ treatment than that of the wild-type virus. Therefore, pUL26 is a viral ISG15 target that also counteracts ISGylation. Our results demonstrate that ISGylation inhibits HCMV growth at multiple steps and that HCMV has evolved countermeasures to suppress ISG15 transcription and protein ISGylation, highlighting the importance of the interplay between virus and ISGylation in productive viral infection.
Self-management: a systematic review of outcome measures adopted in self-management interventions for stroke

Purpose: To systematically review the psychometric properties of outcome measures used in stroke self-management interventions (SMIs) to (1) inform researchers, clinicians and commissioners about the properties of the measures in use and (2) make recommendations for the future development of self-management measurement in stroke. Methods: Electronic databases, government websites, generic internet search engines and hand searches of reference lists. Abstracts were selected against inclusion criteria and retrieved for appraisal and systematically scored, using the COSMIN checklist. Results: Thirteen studies of stroke self-management originating from six countries were identified. Forty-three different measures (mean 5.08/study, SD 2.19) were adopted to evaluate self-SMIs. No studies measured self-management as a discreet concept. Six (46%) studies included untested measures. Eleven (85%) studies included at least one measure without reported reliability and validity in stroke populations. Conclusions: The use of outcome measures which are related, indirect or proxy indicators of self-management and that have questionable reliability and validity, contributes to an inability to sensitively evaluate the effectiveness of stroke self-SMIs. Further enquiry into how the concept of self-management in stroke operates, would help to clarify the nature and range of specific self-management activities to be targeted and aid the selection of existing appropriate measures or the development of new measures. Implications for Rehabilitation The evaluation of complex interventions such as self-management interventions is aided by clear outcome expectations and valid and reliable measurement. This review demonstrates a lack of outcome measures that specifically measure self-management of stroke. A minority of outcome measures that were used as proxy indicators for SM fulfill some of the criteria for quality outlined in the COSMIN checklist. Clinicians should select measures which appropriately reflect expected outcomes, giving due consideration to the theoretical underpinnings of the intervention. Further work is required to establish which measures currently in use, if any, accurately reflect stoke self-management. In the meantime, researchers should seek to develop psychometrically sound measures of stroke self-management to assist effective evaluation of such interventions in stroke.
Sequential Branch Points in Hierarchical Cell Fate Determination

Multi-potent stem or progenitor cells undergo a sequential series of binary fate decisions which ultimately generates the diversity of di erentiated cell. E orts to understand cell fate control have focused on simple gene regulatory circuits that predict the presence of multiple stable states, bifurcations and switch-like transition. However, existing gene network models do not explain more complex properties of cell fate dynamics such as the hierarchical branching of developmental paths. Here, we construct a generic minimal model of the genetic regulatory network which naturally exhibits five elementary characteristics of cell di erentiation stability, branching, exclusivity, directionality, and promiscuous expression. We argue that a modular architecture comprised of repeated network elements in principle reproduces these features of di erentiation by repressing irrelevant modules and hence, channeling the dynamics in the high-dimensional phase space through a simpler, lower dimensional subspace. We implement our model both with ordinary di erential equations (ODEs) to explore the role of bifurcations in producing the oneway character of di erentiation and with stochastic di erential equations (SDEs) to demonstrate the e ect of noise on the system in simulations. We further argue that binary cell fate decisions are prevalent in cell di erentiation due to general features of dynamical systems. This minimal model makes testable predictions about the structural basis for directional, discrete and diversifying cell phenotype development and thus, can guide the evaluation of real gene regulatory networks that govern di erentiation.
Trying to keep you: how grief, abjection, and ritual transform the social meanings of a human body

ABSTRACT The present research illuminates how the grief process and the abject force us to confront and reconcile the strangeness of a loved one’s lifeless human body. We find that the grief process, initially fueled by abjection, moves the social meanings of a human body in death through three stages: (1) divorcing the deceased’s identity from the body, (2) seeking tangible substitutes, and (3) attaining meaning outside the physical realm. These findings reveal how the process of grief, the abject, and the ritual practices surrounding it, transform the social meanings of a human body and other related symbolic consumption items. This work contributes to the literature by illuminating our understanding of the fluidity of identity that extends beyond a person’s natural life and by revealing how renegotiating the relationship with a physical body is important for the self-preservation of the living.
Talking to others: analysing tourists’ communications on cultural heritage experiences

Abstract In the area of cultural heritage, tourists’ experiences emphasise not only the moment and its personal nature but also socio-cultural traits. These experiences when expressed (social communications) are an important gateway to knowledge about tourists’ sense-making processes. This paper reports on the mediation between tourists and heritage sites via comments on a digital platform (TripAdvisor) about two Spanish tourist destinations with opposing characteristics and four heritage sites, which are analysed. The methodology used seeks to transcend the individual and anecdotal aspects of tourists’ comments. Indeed, the results obtained show the relevance of the humanisation and the discursive weight of heritage contexts in emotional/personal stories. Tendencies observed in non-regulated contexts confirm the role of a complex negotiation at cultural heritage sites and highlight the need to explore possible exchanges of sense in tourists’ encounters with such sites.
Cooperative Load Balancing in OFDMA Small Cell Networks

This paper aims at balancing the load of OFDMA small cell networks. Different with the existing works that define the load as the number of service user equipments or the occupied amount of resources, we model the load as the service ability of small cells. The system load balancing problem that adopts the max-min fairness measure is formulated as a lexicographical minimization problem whose solution is NP-hard. To reduce the complexity and obtain a satisfying performance, a sub-optimal solution named as cooperative load balancing scheme (CLBS) is proposed. By sequentially conducting the cooperative user association, cooperative scheduling operation and cooperative transmission power optimization in CLBS, the system load is balanced to a stable state in a lexicographical non-increasing manner. Simulations results show that CLBS guarantees a satisfying load balancing performance in small cell networks.
Quality of Experience (QoE) beyond Quality of Service (QoS) as its baseline: QoE at the Interface of Experience Domains

In this work, a new approach to the definition of the quality of experience is presented. By considering the quality of service as a baseline, that portion of the QoE that can be inferred from the QoS is excluded, and then the rest of the QoE is approached with the notion of QoE at a Boundary (QoEaaB). With the QoEaaB as the core of the proposed approach, various potential boundaries, and their associated unseen opportunities to improve the QoE are discussed. In particular, property, contract, SLA, and content are explored in terms of their boundaries and also their associated QoEaaB. With an interest in online video delivery, management of resource sharing and isolation associated with multi-tenant operations is considered. It is concluded that the proposed QoEaaB can bring a new perspective in QoE modeling and assessment toward a more enriched approach to improving the experience based on innovation and deep connectivity among actors.
Computing Covariances for Mutual Information Co-registration

This paper identifies the important role that covariance estimation has to play in the construction of analysis systems. The problem of co-registration for inter-modality clinical volumes is often solved by maximising the so-called mutual information measure. This paper extends the existing theory in this area and suggests a viable way of constructing covariances for mutual information approaches by treating this algorithm as a bootstrapped likelihood based approach. We provide both theoretical and practical tests of the validity of this method. In doing so we identify important subtleties in the current use of these measures for coregistration. These issues suggest potential improvements in the way that such measures might be constructed and used.