Miracle-dz/UniFAR-FTUs huggingface dataset:
An experimental analysis of Simultaneous Multiple Round Auction formats and Combinatorial Clock Auction formats

Auctions have been used in the process of spectrum allocation for the last two decades. A commonly used format for assigning spectrum licenses is the Simultaneous Multiple Round Auction (SMRA). In order to reduce the possibility of unwanted outcomes (i.e. assigning licences for non-contiguous spectrum blocks) and increase auction (i.e. allocative) efficiency, first the SMRA with Switching (SMRA+S) and later the Combinatorial Clock Auction (CCA) formats were introduced. In this paper we present the CCA with a Dutch phase (CCA+D) format, our proposed modification of the CCA format. We conducted a set of experiments where a group of participants bid for spectrum licenses using four different auction formats (i.e. SMRA, SMRA+S, CCA and CCA+D). The regulator's revenue, auction (i.e. allocative) efficiency and operators' successfulness in the conducted auctions are outlined.
A MAC protocol with slot prediction algorithm for wireless body area network

In this paper, we design a Medium Access Control (MAC) protocol for Wireless Body Area Network (WBAN) to allocate slot to packets of each medical and non-medical node. Although a hybrid MAC protocol is defined in IEEE 802.15. 6 as the international standard of WBAN, the detail specification depends on the implementation. It is important to consider the Quality of Service (QoS) requirements of each node and packet in WBAN, because different sensor nodes generate time varying packets which generate depending on human behavior. Besides, permissible delay time of each medical and non-medical node is different. To improve both priority control for QoS and dependability, we propose a MAC protocol with slot prediction algorithm. Simulation results show that our protocol outperforms IEEE 802.15. 6 in terms of transmission success rate and worst delay time.
Prosodic analysis of Brazilian Portuguese attitudes

This paper presents the prosodic analysis of a corpus of Brazilian Portuguese attitudes. Attitudes are separated between the social and propositional categories, and performed either with an assertive or an interrogative modality. Previous studies show the particular relevance of prosodic cues for propositional attitudes, while visual cues are more relevant for social ones. This paper shows that this greater relevance of prosody for propositional attitudes is also observed on the prosodic parameters’ variations – and enhance particularly the clearly different and prototypical F0 contours that distinguished such expressions. The importance of lexical stress on the contour is emphasized, strengthening the global coherence of the speaker’s prosodic strategies.
‘Pedagogy as Translation’: Extending the Horizons of Translation Theory

This paper extends the horizons of scholarly work within the bounds of translation theory by moving away from the tradition of presenting descriptive and historical accounts of translation. It departs from this tradition by offering a guide for intentional or rationally calculated translation applied to cross‐cultural management learning. It synthesizes key issues from translation theory with management learning literature, which calls for more critically oriented and more cross‐culturally sensitive pedagogy. It then outlines a five‐stage pedagogic translation process, termed ‘Pedagogy as Translation’ (PaT), which is designed to create the necessary space for students to develop and extend their translation capacity. The paper also opens up scope for further exploration into the conditions and scope of intentional and rationally calculated translation as a pedagogic innovation within management learning, and more generally with respect to knowledge transfer.
ADON - Anonymous data exchange in hybrid opportunistic networks using utility functions and bloom filters

The flow of information among people through electronic devices has undeniably become an important aspect of many human lives. The importance of the Internet has grown in time to settle on almost even grounds with electricity. Here, we present a novel hybrid approach to opportunistic wireless networking. The main objective of our work was to propose a system with a feature-set attractive for real life deployment. In order to achieve that - we extract features from known routing mechanisms; combine them with relatively novel (Anonymous Multi-receiver ID-based Encryption, AES) cryptography. We propose a semi-distributed three-tier architecture, in which, data flows in an opportunistic manner, but is also allowed to flow through the Internet connection (TCP/IP), if available. The results allow for authentication, perfect forward secrecy and non-repudiability in a disruptive environment.
Stochastic matching and collaborative filtering to recommend people to people

The bias towards popular items is not necessarily an undesired outcome of recommender algorithms since a large amount of revenue on e-commerce websites is drawn from these popular items. On the other hand, in domains such as online dating and employment websites, where users and items of the recommendation are both people, a strong bias towards popular users may cause these users to feel overwhelmed and unpopular users to feel neglected. In this paper, we use collaborative filtering (CF) to generate recommendations for all users, and by using stochastic matching we select a number of reciprocal recommendations for each user that maximizes the matches among all users. In this way, all users, regardless of their popularity, will receive the same number of recommendations the number of times they will be recommended to others. This study is the first to apply a stochastic matching solution to balance the number of recommendations given to users in a CF setting. Using historical data, we demonstrate that the proposed recommender improves the chance of finding a successful relationship in comparison to CF recommendations.
Mining Support for Software Requirements : Traceability Assurance

Requirements assurance aims to increase confidence in the quality of requirements through independent audit and review. One important and effort intensive activity is assurance of the traceability matrix (TM). In this, determining the correctness and completeness of the manyto-many relationships between functional and nonfunctional requirements (NFRs) is a particularly tedious and error prone activity for assurance personnel to peform manually. We introduce a practical to use method that applies well-established text-mining and statistical methods to reduce this effort and increase TM assurance. The method is novel in that it utilizes both requirements similarity (likelihood that requirements trace to each other) and dissimilarity (or anti-trace, likelihood that requirements do not trace to each other) to generate investigation sets that significantly reduce the complexity of the traceability assurance task and help personnel focus on likely problem areas. The method automatically adjusts to the quality of the requirements specification and TM. Requirements assurance experiences from the SQA group at NASA's Jet Propulsion Laboratory provide motivation for the need and practicality of the method. Results of using the method are verifiably promising based on an extensive evaluation of the NFR data set from the publicly accessible
Modelling the effects of disopyramide on short QT syndrome variant 1 in the human ventricles

The short QT syndrome (SQTS) is a recently identified genetic disorder associated with ventricular and/or atrial arrhythmias and increased risk of sudden cardiac death. The SQTS variant 1 (SQT1) N588K mutation to the hERG gene causes a gain-of-function to IKr which shortens the ventricular effective refractory period (ERP), as well as reducing the potency of several drugs which block the hERG channel. This study used computational modelling to assess the effects of disopyramide (DISO), a class 1a anti-arrhythmic agent, on human ventricular electro-physiology in SQT1. The O'Hara Rudy dynamic (ORd) model of the human ventricle action potential (AP) was modified to incorporate a Markov chain model of IKr/hERG including formulations for wild type (WT) and SQT1 N588K mutant hERG channels. The blocking effects of DISO on IKr, INa, ICaL, and Ito were modelled using IC50 and Hill coefficient values from the literature. The ability of DISO to prolong the QT interval was evaluated using a 1D model of human ventricular cells with transmural heterogeneities and the corresponding pseudo-ECG. At a clinically-relevant concentration of 10 μM DISO, the action potential duration (APD) at the single cell level was increased significantly through inhibition of mutant SQT1-hERG channels. The corrected QT interval in tissue was prolonged. This study provides further evidence that DISO is a suitable treatment for hERG-mediated SQTS.
Characterizing the Performance and Scalability of Many-core Applications on Virtualized Platforms

Clouds have become attractive to applications, because of its low cost and on-demand computing model with the use of virtualization technologies. With the continual increasing number of cores per chip, it should be an emergence to study and improve the scalability of virtualized platforms. This paper tries to make a study on the horizontal scalability 1 of a set of parallel applications on virtualized platforms. By executing and profiling such software on a virtual machine configured with different number of cores on a commodity multi-core machine with 48 cores, we find several performance bottlenecks inside the Xen virtual machine monitor under different paging modes (e.g., direct paging mode and nested paging mode). After a detailed profiling and analysis, we propose several remedies with only less than 100 LOCs to avoid most of the bottlenecks, which result in a performance improvement ranging from 1.1X to 9.42X for a virtual machine configured with 32 cores 2 . The performance scalability is also notably improved. One speculative conclusion from this study is that, though there might be some scalability issues within current virtual machine monitors, some of them should be relatively easy to be refined for commodity multicore platforms.
The origin of symptoms in chronic heart failure

Whilst enormous strides have been made in the management of chronic heart failure, the origin of the symptoms of breathlessness and fatigue in well treated stable patients remains mysterious. Haemodynamic models of heart failure do not fit the observation that some patients with very severe left ventricular dysfunction have near normal exercise capacity. Skeletal muscle abnormalities are highly prevalent in chronic heart failure and are associated with an increase in the ergoreflex, a muscle reflex stimulated by work done. Stimulation of the ergoreflex results in increased ventilation, and also contributes to the increased sympathetic activation of the heart failure syndrome. The origin of the skeletal myopathy is related to chronic imbalance between catabolic and anabolic processes, presumably as a consequence of chronic haemodynamic stress. Symptoms arise from the skeletal myopathy, causing the sensation of fatigue, and contributing to the sensation of breathlessness as the myopathy affects respiratory muscle. The ergoreflex activation causes a greater ventilatory response to exercise than normal, contributing to the sensation of breathlessness
Arrhythmias classification using the fractal behavior of the power spectrum density of the QRS complex and ANN

In this paper we propose a method to discriminate arrhythmias using the fractal behavior of the power spectrum density of the QRS complexes. The linear interpolation of the QRS complex power spectrum density in Bode diagram in two different frequency intervals gives two straight lines with two different slopes. The scatter plot of one slope versus the other shows that we can distinct the normal beats from the abnormal one. Therefore, two experiences have been elaborated to verify the usefulness of the proposed method. The PVC beats are clustered using a Self Organizing Map (SOM) neural network fed by the two slopes of the QRS complex power spectrum in the first experience, in the second experience we use multilayer perceptron (MLP) neural network to classifier right bundle branch block (RBBB) and normal beats. The MIT/BIH arrhythmia database is then used to evaluate the usefulness of the proposed method.
Fault-tolerant Network-on-Chip based on Fault-aware Flits and Deflection Routing

Deflection routing is a promising approach for energy and hardware efficient NoCs. Future VLSI designs will have an increasing susceptibility to failures and breakdowns. The inherent redundancy of NoCs can be used to tolerate such failures. We extended the non-fault-tolerant CHIPPER router architecture to enable fault-tolerance. This architecture is based on deflection routing and utilizes a permutation network instead of a crossbar. The permutation network eliminates the sequential dependence of the priority based port allocation. Compared to a crossbar based design, a permutation network allows a faster and smaller router design. Simulations of an 8 × 8 network and more than 30.000 it injections show, that our router architecture is competitive with existing crossbar based fault-tolerant router architectures.
Mechanisms and applications of transcranial magnetic stimulation: An overview

Transcranial magnetic stimulation (TMS), using strong time-varying magnetic fields to stimulate the brain non-invasively, is increasingly used as a mean to safely probe brain function and to alleviate symptoms associated with neurological disorders. TMS has indeed become a precious tool to understand brain function in healthy volunteers, and is actively explored as a novel diagnostic and therapeutic tool for a wide range of neurological disorders. We briefly review here the origins of TMS, its mechanisms of action and its most widely widespread research and clinical uses. We also mention the current limitations that TMS is facing, and how these challenges are motivating novel TMS developments. It appears plausible that TMS will represent, in the near future, a therapeutic option of choice, due to its possibility to non-invasively interfere over extended periods of time with abnormal patterns of brain activity associated to specific neurological disorders.
Running head: STATE HUMILITY CONCEPTUAL VALIDATION 1 State Humility: Measurement, Conceptual Validation, and Intrapersonal Processes Short title: STATE HUMILITY CONCEPTUAL VALIDATION

Humility is a core psychological process theoretically marked by low self-focus, secure identity, and balanced awareness of strengths and weaknesses. We began with a consensual definition of humility before theoretically unpacking it. First, using 25 samples and 2,622 adults, we developed the Brief State Humility Scale, which demonstrates strong construct validity and good reliability, is sensitive to experimental manipulation, and is uncorrelated with social desirability. Second, using this measure, we replicated previously reported relationships involving interpersonal processes; revealed links between state humility and intrapersonal processes (e.g., affect, creativity, and personality); and demonstrated key theoretical differences between state humility and modesty. This framework highlights new avenues for humility research and suggests how humility plays a critical role in emotional experience. (119 words)
A multivariate fast discrete Walsh transform with an application to function interpolation

For high dimensional problems, such as approximation and integration, one cannot afford to sample on a grid because of the curse of dimensionality. An attractive alternative is to sample on a low discrepancy set, such as an integration lattice or a digital net. This article introduces a multivariate fast discrete Walsh transform for data sampled on a digital net that requires only $O(N \log N)$ operations, where $N$ is the number of data points. This algorithm and its inverse are digital analogs of multivariate fast Fourier transforms. This fast discrete Walsh transform and its inverse may be used to approximate the Walsh coefficients of a function and then construct a spline interpolant of the function. This interpolant may then be used to estimate the function's effective dimension, an important concept in the theory of numerical multivariate integration. Numerical results for various functions are presented.
Unitary Space-Time Modulation of Turbo Trellis-Coded for Multiple-Antenna Rayleigh Fading Channel

Unitary (USTM) has got more attention for its potential in implementing high data rate transmission in a noncoherent multiple-antenna Rayleigh flat fading channel. In this paper, we have given out a bandwidth efficient turbo trellis-coded modulation scheme for the non-coherent multiple-antenna Rayleigh fading channel, where the channel state information (CSI) is not necessary both at the transmitter and the receiver. In this proposal, we combine USTM as constellations with the turbo trellis-coded modulation, resulting in the turbo trellis-coded USTM (TTC-USTM), with the trellis-coded USTM encoder as the component encoders. We have also applied the iterative maximum a posteriori (MAP) algorithm. According to PC simulations, we demonstrated that without bandwidth expansion, TTC-USTM produces obvious coding gains over its uncoded counterparts.
The Radio Properties of Optically Selected Quasars. III. Comparison Between Optical and X-Ray Selected Samples

A sample of 103 quasars from the Large Bright Quasar Survey (LBQS) has been observed with the VLA at 8.4 GHz to study the evolution of the radio luminosity distribution and its dependence on absolute magnitude. Radio data from pointed observations are now available for 359 of the 1055 LBQS quasars. The radio-loud fraction is constant at ≈ 10% over the absolute magnitude range –28 ≲ MB ≲ –23, and it rises to ~20% (log R8.4> 1) or ~35% (log L8.4 > 25) at the brightest absolute magnitudes in the sample. This nearly flat distribution differs markedly from those of the optically selected Palomar-Green (PG) Bright Quasar Survey and the X-ray selected Extended Medium Sensitivity Survey (EMSS), both of which have lower radio-loud fractions for absolute magnitudes fainter than MB = – 24 and higher fractions at brighter magnitudes. The reason for the high radio-loud fraction at bright absolute magnitudes in the PG, compared to the LBQS and other optically selected quasar surveys, is unknown. The trend of increasing radio-loud fraction with absolute magnitude in the EMSS is due at least in part to a correlation between X-ray and radio luminosity. Combining the LBQS data with radio studies of high-redshift quasars leads to the conclusion that the radio-loud fraction in optically selected quasars does not appear to evolve significantly, aside from a modest increase at z ~ 1, from z = 0.2 to redshifts approaching 5, a result contrary to previous studies that found a decrease in radio-loud fraction with increasing redshift by comparing the low-z fraction in the PG to higher redshift samples.
Assessment of Collaborative Problem Solving in Education Environments

ABSTRACT The Assessment and Teaching of 21st Century Skills (ATC21STM) project undertook a research and development plan that included conceptualization of 21st century skills and assessment task development. Conceptualization focused on the definition of 21st century skills. This article outlines the particular case of one of these skills, collaborative problem solving, from its definition and identification of subskills, to development of a method for its assessment. The theories contributing to construct definition are described. These have implications for the particular clusters of subskills that are of interest for educational assessment. An approach to assessment task creation is illustrated through the deconstruction of a well-known reasoning task, and its re-development to sample both the cognitive and social aspects of collaborative problem solving. The assessment tasks are designed to generate formative feedback for teachers in order to identify levels of ability within and between their students and support tailoring of instruction differentially for improvement.
A mixed-initiative control system for an Aerial Service Vehicle supported by force feedback

We present an approach to mixed initiative control for unmanned aerial vehicles (UAVs) where sliding autonomy is supported by mixed-initiative planning and haptic feedback. In the proposed framework, we assume that an autonomous system can plan and execute robotic tasks while a human operator can provide interventions when necessary receiving a force feedback. The haptic feedback is associated with the sensation about how the system is diverging from the planned operations. We tested the system at work in virtual and real environments considering simple navigation tasks. We compared the performance of human operators with or without the assistance of the force feedback. The collected results support the hypothesis that the proposed approach enables effective and intuitive mixed-initiative control.
Steganography Based On Unicode of Characters in Multilingual Prof .

Network security, and secure communications through public and private channels are more important issue specially when computer usage is increasing, for both social and business areas. Data hiding is one of approach to obtain a secure communication medium and protecting the information during transmission. Text steganography is most challenging because of the presence of very less redundant information in text documents as compared to the images and audio. In this paper a novel method is proposed for data hiding in English scripts using Unicode of English alphabet in another languages. In this method, 13 characters from English alphabet was chosen for hiding process which have appearance in another languages. Two bits embedded in one time, using ASCII code for embedding 00, and using Unicode of multilingual for embedding 01, 10, and 11. This method has a height hiding capacity based on specific characters in each document. As well as have very good perceptual transparency and no changes in original text. KeywordsMultilingual characters, Text hiding, Unicode standard.