Miracle-dz/UniFAR-FTUs huggingface dataset:
Modelling The Spirit of Capitalism , Risk and Monetary Policy Uncertainty : An Application to Foreign Exchange Risk Premia

This paper constructs a stochastic general equilibrium model of a small open economy consisting of risk-averse optimizing agents with unconventional preferences and the spirit of capitalism. We use the model to explore:(i)the importance of the spirit of capitalism; and(ii)the potential role of monetary policy uncertainty in explaining the foreign exchange rate premium. We conduct a numerical analysis of the forex risk premium mindful that models capable of producing risk premia which match the data seem elusive. The model has a rich framework with five distinguishing features:(i) joint determination of the means and variances of the relevant economic variables; (ii) portfolio choice; (iii) monetary policy uncertainty; (iv) a recursive utility function; and (v) a utility function that includes the level of wealth and a world wealth index to capture features of ’catching up with the Joneses’ and exogenous habit formation models. We find that allowing for the degree of capitalism can generate values for the calculated forex risk premium which are closer to those observed in the real world, particularly when allowance is made for volatility in the world wealth index. Allowance for monetary policy uncertainty improves the results even more markedly.
Characterization of SL(2,q) by its non-commuting graph

Let $G$ be a non-abelian group and $Z(G)$ be its center. The non-commuting graph $\mathcal{A}_G$ of $G$ is the graph whose vertex set is $G\backslash Z(G)$ and two vertices are joined by an edge if they do not commute. Let $\mathrm{SL}(2,q)$ be the special linear group of degree 2 over the finite field of order $q$. In this paper we prove that if $G$ is a group such that $\mathcal{A}_G\cong \mathcal{A}_{\mathrm{SL}(2,q)}$ for some prime power $q\geq 2$, then $G\cong \mathrm{SL}(2,q)$.
Automated Construction of Visual-Linguistic Knowledge via Concept Learning from Cartoon Videos

Learning mutually-grounded vision-language knowledge is a foundational task for cognitive systems and human-level artificial intelligence. Most of knowledge-learning techniques are focused on single modal representations in a static environment with a fixed set of data. Here, we explore an ecologically more-plausible setting by using a stream of cartoon videos to build vision-language concept hierarchies continuously. This approach is motivated by the literature on cognitive development in early childhood. We present the model of deep concept hierarchy (DCH) that enables the progressive abstraction of concept knowledge in multiple levels. We develop a stochastic method for graph construction, i.e. a graph Monte Carlo algorithm, to search efficiently the huge compositional space of the vision-language concepts. The concept hierarchies are built incrementally and can handle concept drift, allowing for being deployed in lifelong learning environments. Using a series of approximately 200 episodes of educational cartoon videos we demonstrate the emergence and evolution of the concept hierarchies as the video stories unfold. We also present the application of the deep concept hierarchies for context-dependent translation between vision and language, i.e. the transcription of a visual scene into text and the generation of visual imagery from text.
A load-aware scheduler for MapReduce framework in heterogeneous cloud environments

MapReduce is becoming a popular programming model for large-scale data processing in cloud computing environments. Hadoop MapReduce is the most popular open-source implementation of MapReduce framework. Hadoop MapReduce comes with a pluggable task scheduler interface as well as a default FIFO job scheduler. The default Hadoop scheduler only considers the homogeneous environments, and thus does not perform well in heterogenous environments. Although being proposed to schedule tasks/jobs in heterogenous environments, the LATE scheduler does not consider the phenomenon of dynamic loading which is common in practice. In view of this, we propose a new scheduler named Load-Aware scheduler, abbreviated as the LA scheduler, to address the problem resulting from the phenomenon of dynamic loading, thus being able to improve the overall performance of Hadoop clusters. Experimental results show that the LA scheduler is able to reduce up to 20% in average response time by avoiding unnecessary speculative tasks.
The role of electronic preprints in chemical communication: Analysis of citation, usage, and acceptance in the journal literature

This study characterizes the usage and acceptance of electronic preprints (e-prints) in the literature of chemistry. Survey of authors of e-prints appearing in the Chemistry Preprint Server (CPS) at http://preprints. chemweb.com indicates use of the CPS as a convenient vehicle for dissemination of research findings and for receipt of feedback before submitting to a peer-reviewed journal. Reception of CPS e-prints by editors of top chemistry journals is very poor. Only 6% of editors responding allow publication of articles that have previously appeared as e-prints. Concerns focus on the lack of peer review and the uncertain permanence of e-print storage. Consequently, it was not surprising to discover that citation analysis yielded no citations to CPS e-prints in the traditional literature of chemistry. Yet data collected and posted by the CPS indicates that the e-prints are valued, read, and discussed to a notable extent within the chemistry community. Thirty-two percent of the most highly rated, viewed, and discussed e-prints eventually appear in the journal literature, indicating the validity of the work submitted to the CPS. This investigation illustrates the ambivalence with which editors and authors view the CPS, but also gives an early sense of the potential free and rapid information dissemination, coupled with open, uninhibited discussion and evaluation, has to expand, enrich, and vitalize the scholarly discourse of chemical scientists.
User-friendly solutions for microarray quality control and pre-processing on ArrayAnalysis.org

Quality control (QC) is crucial for any scientific method producing data. Applying adequate QC introduces new challenges in the genomics field where large amounts of data are produced with complex technologies. For DNA microarrays, specific algorithms for QC and pre-processing including normalization have been developed by the scientific community, especially for expression chips of the Affymetrix platform. Many of these have been implemented in the statistical scripting language R and are available from the Bioconductor repository. However, application is hampered by lack of integrative tools that can be used by users of any experience level. To fill this gap, we developed a freely available tool for QC and pre-processing of Affymetrix gene expression results, extending, integrating and harmonizing functionality of Bioconductor packages. The tool can be easily accessed through a wizard-like web portal at http://www.arrayanalysis. org or downloaded for local use in R. The portal provides extensive documentation, including user guides, interpretation help with real output illustrations and detailed technical documentation. It assists newcomers to the field in performing state-of-the-art QC and pre-processing while offering data analysts an integral open-source package. Providing the scientific community with this easily accessible tool will allow improving data quality and reuse and adoption of standards.
Function Finding Based on Gene Expression Programming

This paper proposes a new evolution algorithm, M_GEP, based on the concept of multi-gene chromosome in gene expression programming. The algorithm has two characters: (1) a chromosome is composed of more than one gene; (2) the sub-genes are linked together according to the linking gene which may conclude more than one kind of function. We give two examples, whose results show that the models set up by M_GEP are better than the models set up by GEP.
Hardware support for high performance, intrusion- and fault-tolerant systems

The paper proposes a combined hardware/software approach for realizing high performance, intrusion- and fault-tolerant services. The approach is demonstrated for (yet not limited to) an attribute authority server, which provides a compelling application due to its stringent performance and security requirements. The key element of the proposed architecture is an FPGA-based, parallel crypto-engine providing (1) optimally dimensioned RSA Processors for efficient execution of computationally intensive RSA signatures and (2) a KeyStore facility used as tamper-resistant storage for preserving secret keys. To achieve linear speed-up (with the number of RSA Processors) and deadlock-free execution in spite of resource-sharing and scheduling/synchronization issues, we have resorted to a number of performance enhancing techniques (e.g., use of different clock domains, optimal balance between internal and external parallelism) and have formally modeled and mechanically proved our crypto-engine with the Spin model checker. At the software level, the architecture combines active replication and threshold cryptography, but in contrast with previous work, the code of our replicas is multithreaded so it can efficiently use an attached parallel crypto-engine to compute an attribute authority partial signature (as required by threshold cryptography). Resulting replicated systems that exhibit nondeterministic behavior, which cannot be handled with conventional replication approaches. Our architecture is based on a preemptive deterministic scheduling algorithm to govern scheduling of replica threads and guarantee strong replica consistency.
Injection of faults at component interfaces and inside the component code: are they equivalent?

The injection of interface faults through API parameter corruption is a technique commonly used in experimental dependability evaluation. Although the interface faults injected by this approach can be considered as a possible consequence of actual software faults in real applications, the question of whether the typical exceptional inputs and invalid parameters used in these techniques do represent the consequences of software bugs is largely an open issue. This question may not be an issue in the context of robustness testing aimed at the identification of weaknesses in software components. However, the use of interface faults by API parameter corruption as a general approach for dependability evaluation in component-based systems requires an in depth study of interface faults and a close observation of the way internal component faults propagate to the component interfaces. In this paper we present the results of experimental evaluation of realistic component-based applications developed in Java and C using the injection of interface faults by API parameter corruption and the injection of software faults inside the components by modification of the target code. The faults injected inside software components emulate typical programming errors and are based on an extensive field data study previously published. The results show the consequences of internal component faults in several operational scenarios and provide empirical evidences that interface faults and software component faults cause different impact in the system
Genome-wide identification, phylogenetic analysis, expression profiling, and protein–protein interaction properties of TOPLESS gene family members in tomato

Members of the TOPLESS gene family emerged recently as key players in gene repression in several mechanisms, especially in auxin perception. The TOPLESS genes constitute, in ‘higher-plant’ genomes, a small multigenic family comprising four to 11 members. In this study, this family was investigated in tomato, a model plant for Solanaceae species and fleshy fruits. Six open reading frames predicted to encode topless-like proteins (SlTPLs) containing the canonical domains (LisH, CTLH, and two WD40 repeats) were identified in the tomato genome. Nuclear localization was confirmed for all members of the SlTPL family with the exception SlTPL6, which localized at the cytoplasm and was excluded from the nucleus. SlTPL genes displayed distinctive expression patterns in different tomato organs, with SlTPL1 showing the highest levels of transcript accumulation in all tissues tested except in ripening fruit where SlTPL3 and SlTPL4 were the most prominently expressed. To gain insight into the specificity of the different TOPLESS paralogues, a protein–protein interaction map between TOPLESS and auxin/indole-3-acetic acid (Aux/IAA) proteins was built using a yeast two-hybrid approach. The PPI map enabled the distinction of two patterns: TOPLESS isoforms interacting with the majority of Aux/IAA, and isoforms with limited capacity for interaction with these protein partners. Interestingly, evolutionary analyses of the TOPLESS gene family revealed that the highly expressed isoforms (SlTPL1, SlTPL3, and SlTPL4) corresponded to the three TPL-related genes undergoing the strongest purifying selection, while the selection was much weaker for SlTPL6, which was expressed at a low level and encoded a protein lacking the capacity to interact with Aux/IAAs.
Interoperability management for SOA by relative proof and test suit

This paper presents the quality factors of web services with definition, classification, and sub-factors for interoperability and manageability. In SOA systems, service consumers and service providers are usually placed in different ownership domains. They are also developed independently on various platforms and loosely-coupled by network. Services are consumed generally without direct management by service consumers. As a result, interoperability and manageability for SOA systems are core issues for enabling SOA services. Even though a SOA system has been developed with conformance in standards, it's not true the system is interoperable with the other SOA system developed under the same standards. This paper addresses the new concept of sub-quality factors for interoperability and manageability in the view point of management. So, they need the interoperability test suit for proving conformance relatively. This paper shows the definition of interoperability and manageability and provides the overall structure of SOA interoperability test framework.
Mixed-Source Multi-Document Speech-to-Text Summarization

Speech-to-text summarization systems usually take as input the output of an automatic speech recognition (ASR) system that is affected by issues like speech recognition errors, disfluencies, or difficulties in the accurate identification of sentence boundaries. We propose the inclusion of related, solid background information to cope with the difficulties of summarizing spoken language and the use of multi-document summarization techniques in single document speech-to-text summarization. In this work, we explore the possibilities offered by phonetic information to select the background information and conduct a perceptual evaluation to better assess the relevance of the inclusion of that information. Results show that summaries generated using this approach are considerably better than those produced by an up-to-date latent semantic analysis (LSA) summarization method and suggest that humans prefer summaries restricted to the information conveyed in the input source.
Safety Properties and Collision Behavior of Robotic Arms with Elastic Tendon Actuation

Applications with physical human-robot interaction require a high level of safety even in case of software or hardware failures. This paper highlights the advantages of combining tendon actuation with transmission elasticity to maximize safety for robotic arms sharing workspaces with humans. To this end, the collision behavior of combinations of tendon or joint and elastic or stiff actuation with geared electrical motors as reliable actuators is compared using the lightweight BioRob arm as robotic platform in simulation. For the comparison a worst case scenario is assumed in which the robot arm is accelerated with maximum supply voltage over its joint range and collides with maximum end-effector velocity. The study shows that the robot arm achieves end-effector velocities as high as 6 m/s and that elastic tendon actuation reduces the end-effector impact energy and force by up to 90 % compared to stiff joint actuation. A considerable reduction of the gearbox stress is also achieved. In addition, the effect of motor current fuses limiting the motor torques is evaluated. It is shown that for the given high speed scenario, torque limiting devices can be effective to prevent excessive clamping forces in case of failure, but can not reduce the impact peak force without heavily compromising the robot dynamics. The main design criterion for safety should therefore be lightweight link design and compliant actuation, which can be achieved by using elastic tendon actuation. The paper concludes with the comparison of safety properties of robotic arms in research and industry.
Automated Contingency Management for Propulsion Systems

Increasing demand for improved reliability and survivability of mission-critical systems is driving the development of health monitoring and Automated Contingency Management (ACM) systems. An ACM system is expected to adapt autonomously to fault conditions with the goal of still achieving mission objectives by allowing some degradation in system performance within permissible limits. ACM performance depends on supporting technologies like sensors and anomaly detection, diagnostic/prognostic and reasoning algorithms. This paper presents the development of a generic prototype test bench software framework for developing and validating ACM systems for advanced propulsion systems called the Propulsion ACM (PACM) Test Bench. The architecture has been implemented for a Monopropellant Propulsion System (MPS) to demonstrate the validity of the approach. A Simulink model of the MPS has been developed along with a fault injection module. It has been shown that the ACM system is capable of mitigating the failures by searching for an optimal strategy. Furthermore, few relevant experiments have been presented to show proof of concepts.
Effects of dopamine receptor D4 variation on alcohol and tobacco use and on novelty seeking: Multivariate linkage and association analysis

The dopamine D4 receptor gene contains a polymorphic sequence consisting of a variable number of 48‐base‐pair (bp) repeats, and there have been a number of reports that this polymorphism is associated with variation in novelty seeking or in substance abuse and addictive behaviors. In this study we have assessed the linkage and association of DRD4 genotype with novelty seeking, alcohol use, and smoking in a sample of 377 dizygotic twin pairs and 15 single twins recruited from the Australian Twin Registry (ATR). We found no evidence of linkage or association of the DRD4 locus with any of the phenotypes. We made use of repeated measures for some phenotypes to increase power by multivariate genetic analysis, but allelic effects were still non‐significant. Specifically, it has been suggested that the DRD4 7‐repeat allele is associated with increased novelty seeking in males but we found no evidence for this, despite considerable power to do so. We conclude that DRD4 variation does not have an effect on use of alcohol and the problems that arise from it, on smoking, or on novelty seeking behavior. © 2003 Wiley‐Liss, Inc.
Supporting dynamic distributed computing for industrial devices and applications

With the capability of communication, independent devices can be connected to share information and to perform a more complex task. In this paper, a distributed computing model suitable for industrial applications such as surveillance systems or mobile robots is introduced. The computing model is called the Dynamic Distributed Computing (DDC) model. The dynamic join of distributed devices for sharing data together and processing tasks in parallel is an important characteristic of the proposed DDC model. For battery-enabled devices, the required electrical energy can be shared between the devices. Consequently, it not only can avoid the early termination of the devices due to running out of battery powers, but also can maintain the full functions provided by the complete devices for a steady period. The DDC model also supports a logical shared data space, through which information can be easily exchanged between devices. In addition, parallel programming over shared memory architecture is usually thought to be simpler than other methods. An environment supporting the DDC model, called D2MCE, is introduced in this paper. Experiment results show that good performance can be obtained by the DDC model, and the required electrical energy can be effectively shared by the participating devices.
Overview of the Patent Retrieval Task at the NTCIR-6 Workshop

In the Sixth NTCIR Workshop, we organized the Patent Retrieval Task and performed three subtasks; Japanese Retrieval, English Retrieval, and Classification. This paper describes the Japanese Retrieval Subtask and English Retrieval Subtask, both of which were intended for patent-to-patent invalidity search task. We report the evaluation results of the groups participating in those subtasks.
The Local and the Global in Networks of Lebanese and Algerian Rappers

This article discusses border-crossing interconnections and processes of glocalization in Arab(ic) hip hop culture. It is based on an analysis of collaborative networks among Lebanese and Algerian rappers, and their Twitter networks. This approach is grounded in relational sociology, which assumes that culture is the product of interactions between individuals. Here, two interactions are modeled and analyzed as networks. At first, featurings as a form of artistic collaboration are examined. Secondly, Twitter followings, as an important form of online communication, are focused on. By analyzing network-structures like clusters and node properties like the number of connections to other nodes (degree), this article takes a quantitative viewpoint on a subject matter usually analyzed by qualitative tools. The article’s findings indicate the parallel existence of an Algerian and an Eastern Arab(ic) hip hop community excluding the Maghreb region. Both communities have social media connections to the US-American hip hop scene, while French hip hop seems to only play a bigger role in Algeria.
Time-of-flight based multi-sensor fusion strategies for hand gesture recognition

Building upon prior results, we present an alternative approach to efficiently classifying a complex set of 3D hand poses obtained from modern Time-Of-Flight-Sensors (TOF). We demonstrate it is possible to achieve satisfactory results in spite of low resolution and high noise (inflicted by the sensors) and a demanding outdoor environment. We set up a large database of pointclouds in order to train multilayer perceptrons as well as support vector machines to classify the various hand poses. Our goal is to fuse data from multiple TOF sensors, which observe the poses from multiple angles. The presented contribution illustrates that real-time capability can be maintained with such a setup as the used 3D descriptors, the fusion strategy as well as the online confidence measures are computationally efficient.