Miracle-dz/UniFAR-FTUs huggingface dataset:
GamEMO: how physiological signals show your emotions and enhance your game experience

The proposed demonstration is an automatic emotion assessment installation used for game's dynamic difficulty adjustment. The goal of the system is to maintain the player of the game in a state of entertainment and engagement where his/her skills match the difficulty level of the game. The player's physiological signals are recorded while playing a Tetris game and signal processing, feature extraction and classification techniques are applied to the signals in order to detect when the player is anxious or bored. The level of the Tetris game is then adjusted according to the player's detected emotional state. The demonstration will also serve as an experimental protocol to test the player's experience through their interaction with the proposed platform.
Department of Economics and Finance College of Business and Economics University of Canterbury Christchurch, New Zealand Punishment with Uncertain Outcomes in the Prisoner's Dilemma Punishment with Uncertain Outcomes in the Prisoner's Dilemma Punishment with Uncertain Outcomes in the Prisoner's Dile

This paper experimentally investigates whether risk-averse individuals punish less if the outcome of punishment is uncertain than when it is certain. Our design includes three treatments: Baseline in which the one-shot prisoner's dilemma game is played; Certain Punishment in which the prisoner's dilemma game is followed by a punishment stage allowing subjects to decrease the other player's payoff by 2 Euros; and Uncertain Punishment in which subjects could decrease the other player's payoff with a 50% probability by 1 Euro and with a 50% probability by 3 Euros. We find that in all cases the risk-averse subjects are equally likely to cooperate in the prisoner's dilemma and equally likely to punish in the second stage in either of the two punishment treatments. Acknowledgements: We gratefully acknowledge productive suggestions of
Improved Queryable Representations of Rasters

We present two compact representations of rasters, which are used in GIS to represent temperatures, elevations, and other spatial attributes, that support queries on the positions and/or the values stored. These representations are based on space-filling curves and recent advances on compact data structures. They are practical, competitive with recent works on the problem, and present some improved characteristics, such as a nice generalization to time series of rasters, i.e. the storage of several rasters covering the same area at different times.
Approximating layout problems on random sparse graphs

We show that, with high probability, several layout problems are approximable within a constant for random graphs drawn from the standard Gnp model with p=c/n for some constant c. Our results establish that, in fact, any algorithm that returns a feasible solution will produce such an approximation for graphs with good expansion properties.
Research and improvement of current predictive control for the three-phase grid connected inverter

According to the characteristics of high performance three-phase grid-connected inverters, the strategy of model current predictive control for three-phase grid-connected inverters without PLL is put forward. In each control cycle, the eight voltage vectors of three-phase grid-connected Inverters are calculated in prediction model. The voltage vector which makes the value function minimum is taken as the switching vector of the next cycle. Thus, d axis component and q axis component own independent control and tracked fast. By the non-phase locked loop strategy, the trigonometric function values of the grid could be directly calculating, which avoids the delay of phase detection of PLL. Simulation results show that the three-Phase Grid-Connected Inverters that take model Current Predictive Control without PLL as control strategy possess nice static performance and better dynamic performance.
XMG - An Expressive Formalism for Describing Tree-Based Grammars

In this paper 1 we introduce eXtensible MetaGrammar , a system that facilitates the development of tree based grammars. This system includes both (1) a formal language adapted to the description of linguistic information and (2) a compiler for this language. It applies techniques of logic programming ( e.g. Warren’s Ab-stract Machine), thus providing an efﬁ-cient and theoretically motivated framework for the processing of linguistic meta-descriptions.
Avian Hepatitis E Virus in Chickens, Taiwan, 2013

A previously unidentified strain of avian hepatitis E virus (aHEV) is now endemic among chickens in Taiwan. Analysis showed that the virus is 81.5%–86.5% similar to other aHEVs. In Taiwan, aHEV infection has been reported in chickens without aHEV exposure, suggesting transmission from asymptomatic cases or repeated introduction through an unknown common source(s).
EPS Characterization of a Cell Wall-Lacking Archaeon Ferroplasmaacidiphilum

We studied the surface properties of F. acidiphilum DSM 28986 by attenuated total reflection-Fourier transformed infra-red (ATR-FTIR) spectroscopy and microbial adhesion to hydrocarbon (MATH) techniques. In addition, extracellular polymeric substances (EPS) were extracted and characterized by conventional colorimetric analysis and fluorescence lectin-binding analysis (FLBA). Results showed that: 1) cells selectively adhered to mineral surfaces and showed maximum attachment to pyrite of approx. 50% within 30 min; 2) EPS synthesis by F. acidiphilum DSM 28986 was influenced by growth substrates; and 3) tightly-bound EPS (capsular EPS) were composed of carbohydrates and proteins. In contrast, loosely-bound EPS (colloidal EPS) were mainly characterized as carbohydrates. Monosaccharides like glucose, fucose, arabinose, galactose, mannose, and sialic acid were detected in the EPS of F. acidiphilum DSM 28986. This study provides first insight into surface characterization of the cell wall-lacking archaeon F. acidiphilum and facilitates the understanding of interactions of this organism with other acidophiles and metal sulfides.
Newton-Type Methods for Optimization Problems without Constraint Qualifications

We consider equality-constrained optimization problems, where a given solution may not satisfy any constraint qualification but satisfies the standard second-order sufficient condition for optimality. Based on local identification of the rank of the constraints degeneracy via the singular-value decomposition, we derive a modified primal-dual optimality system whose solution is locally unique, nondegenerate, and thus can be found by standard Newton-type techniques. Using identification of active constraints, we further extend our approach to mixed equality- and inequality-constrained problems, and to mathematical programs with complementarity constraints (MPCC). In particular, for MPCC we obtain a local algorithm with quadratic convergence under the second-order sufficient condition only, without any constraint qualifications, not even the special MPCC constraint qualifications.
A Two-Phase Flow Model for Aerogel in a Non-Equilibrium Process

This paper presents the extension of hyperbolic and conservative two-phase flow model to a mixture of porous media containing nanofluids which is known as an aerogel. We focus mainly on the application of non-equilibrium mixture behaviour between phases in one space dimension. The governing equations are solved by finite volume techniques using Godunov methods of centred-type. Special emphasis is given to important and unsteady non-linear phenomena such as shock propagation in low densities aerogels. Simulation results are compared with other methods providing a remarkable agreement. Results show the good capabilities of this mixture formulation in the resolution of discontinuities in aerogel problems. This provides some insights into the fundamental properties of aerogels and helps to better understand some of the inherent difficulties in quantifying them using two-phase flow processes.
Orwell ’ s 1984 – the Case of Serbian Revisited

In this paper we present an alternative version of the morphosyntactically annotated Serbian translation of 1984. This version follows the basic principles of MULTEXT-East version, except for one addition – the text will be annotated with multi-word units as well. We will present the resources used for annotation with multi-word units and explain how these resources were enriched with multi-word units extracted from the processed text. Finally, we will present the format of this alternative version and the benefits obtained both from preparing the new resource and from the resource itself.
DNA Compass: a secure, client-side site for navigating personal genetic information

Motivation Millions of individuals have access to raw genomic data using direct-to-consumer companies. The advent of large-scale sequencing projects, such as the Precision Medicine Initiative, will further increase the number of individuals with access to their own genomic information. However, querying genomic data requires a computer terminal – an impediment for the general public. Results DNA Compass is a website designed to empower the public by enabling simple navigation of personal genomic data. Users can query the status of their genomic variants for over 400 conditions or tens of millions of documented SNPs. DNA Compass presents the relevant genotypes of the user side-by-side with explanatory scientific resources. The genotypes data never leaves the user’s computer, a feature that provides improved security and performance. Nearly 2500 unique users have used our tool, mainly from the general genetic genealogy community, demonstrating its utility. Availability DNA Compass is freely available on https://compass.dna. land. Contact yaniv@cs.columbia. edu
Emotion Elicitation in a Computerized Gambling Game

We designed a novel computer controlled environment that could elicit emotions in subjects while they were uttering short identical phrases. The paradigm was based on Damasio's experiment for eliciting apprehension and was implemented by a voice activated computer game. Recordings of dozens of identical sentences were collected per subject, which were coupled to events in the game - gain or loss of points. Prosodic features of the recorded utterances were extracted , and classified. The resultant classifier achieved 78-85% recognition of presence/absence of apprehension.
Detecting Co-Derivative Documents in Large Text Collections

We have analyzed the SPEX algorithm by Bernstein and Zobel (2004) for detecting co-derivative documents using duplicate n-grams. Although we totally agree with the claim that not using unique n-grams can greatly increase the efficiency and scalability of the process of detecting co-derivative documents, we have found serious bottlenecks in the way SPEX finds the duplicate n-grams. While the memory requirements for computing co-derivative documents can be reduced to up to 1% by only using duplicate n-grams, SPEX needs about 40 times more memory for computing the list of duplicate n-grams itself. Therefore the memory requirements of the whole process are not reduced enough to make the algorithm practical for very large collections. We propose a solution for this problem using an external sort with the suffix array in-memory sorting and temporary file compression. The proposed algorithm for computing duplicate n-grams uses a fixed amount of memory for any input size.
On the constancy of internet path properties

Many Internet protocols and operational procedures use measurements to guide future actions. This is an effective strategy if the quantities being measured exhibit a degree of constancy: that is, in some fundamental sense, they are not changing. In this paper we explore three different notions of constancy: mathematical, operational, and predictive. Using a large measurement dataset gathered from the NIMI infrastructure, we then apply these notions to three Internet path properties: loss, delay, and throughput. Our aim is to provide guidance as to when assumptions of various forms of constancy are sound, versus when they might prove misleading.
A Multicenter Phase II Study of Single-Agent Enzastaurin in Previously Treated Waldenström Macroglobulinemia

Purpose: Enzastaurin is a serine/threonine kinase inhibitor that showed antiangiogenic, antiproliferative, and proapoptotic properties in vitro and antitumor activity in vivo in a xenograft Waldenström macroglobulinemia (WM) model. These findings provided the rationale for a multicenter phase II trial of oral enzastaurin in previously treated patients with WM. Experimental design: Patients who were treated with 1 to 5 prior regimens and who had a baseline immunoglobulin M level 2 times or more the upper limit of normal received oral enzastaurin 250 mg twice daily (500 mg total) after a single loading dose (day 1, cycle 1) of 375 mg 3 times daily (1,125 mg total) for 8 cycles of 28 days each or until progressive disease. Six patients who progressed during treatment with enzastaurin had dexamethasone added per protocol. Results: From July 2008 to December 2010, 42 patients were enrolled. The objective response rate (RR) was 38.1% (2 partial and 14 minor responses). One patient had grade 3 leukopenia and one patient died during the study from septic shock; both events were considered drug related. A statistically significant association between RR and interleukin 15 (IL-15) was observed, suggesting that higher concentration levels of IL-15 may be associated with better response. Conclusion: Enzastaurin was active and well tolerated in previously treated patients with WM. Because of the small sample size of this uncontrolled study, further assessment of the relationship between IL-15 and response to enzastaurin in patients with WM is required. These results warrant further investigation of enzastaurin for the treatment of WM. Clin Cancer Res; 18(18); 5043–50. ©2012 AACR.
In vitro optical properties of human and canine brain and urinary bladder tissues at 633 nm

Absorption and scattering coefficients and scattering anisotropy factor are presented for human and canine cadaver tissues at the helium‐neon wavelength (633 nm). Measurements were performed with an integrating sphere arrangement and analyzed with the diffusion approximation of the equation of radiative transfer adapted to Kubelka‐Munk techniques.
Physical Transport Properties of Porous Rock with Computed Tomography

In this chapter, three-dimensional digital rock models can be constructed by the micron X-ray computed tomography (CT). Then, lattice gas automata was applied to simulate the flow of electrical current in the saturated digital rocks to reveal the non-Archie relation of resistivity index and water saturation (I-Sw). The flow of single-phase Newtonian fluid in pore space had been studied with LBM for calculating the absolute permeability. Moreover, we have developed a model based on digital rock to simulate thermal neutrons transporting for imaging the anisotropy of pore structure. The advan- tages of the model over traditional methods indicate that it can simultaneously consider both the separation of matrix and pore and the distribution of mineral components. The results of numerical simulation with Monte Carlo are in good agreement with the pore distribution from X-ray CT, which can further verify the validity of the new model. In contrast to the conventional conclusion, we find that the porosity calculated with neutron data can be affected by the anisotropy. Therefore, a new formula to relate the resolution of array detectors to the quality of imaging, had been proposed to analyze the critical resolution and to optimize the number of neutrons in each simulation.
On adaptive HMM state estimation

In this paper new online adaptive hidden Markov model (HMM) state estimation schemes are developed, based on extended least squares (ELS) concepts and recursive prediction error (RPE) methods. The best of the new schemes exploit the idempotent nature of Markov chains and work with a least squares prediction error index, using a posterior estimates, more suited to Markov models then traditionally used in identification of linear systems.
Relationship between Intelligence Quotient and Musical Ability in Children with Cochlear Implantation

Introduction: Children with cochlear implants (CIs) may experience few opportunities for positive musical experiences, and musical perception is therefore often not sufficiently developed. This paper investigates and discusses the relationship between intelligence quotient (IQ) and musical ability in children with CIs compared with children with normal hearing. Materials and Methods: This was a comparative analytical study conducted in 48 children with unilateral CI and 48 normal-hearing children, 6–8 years of age, with ‘normal’ IQ and no formal music training. The average IQ score in the experimental and control groups were 105.41 and 106.31, respectively. No statistically significant differences were detected between Raven’s IQ scores in both groups. Data were collected by administering Raven's Colored Progressive Matrices IQ Tests and the Montreal Battery of Evaluation of Musical Abilities (MBEMA) Test, consisting of scale, contour, interval, rhythm, and memory sections. Results: Mean total MBEMA score in the experimental and control groups was 58.93 and 72.16 (out of 100), respectively. Significant differences were evident between scores of children with CIs in comparison with their normal-hearing peers (P≤0.001). A remarkable direct correlation between IQ and musical scores in both the control (r≥0.38) and experimental (r≥0.37) groups was observed. Conclusion: IQ has a noticeable effect on music processing and facilitates the perception of various musical elements. With regard to the mutual relationship between IQ and musical skills, this study illustrates the advantage of determining music perception scores and highlights the importance of appropriate musical intervention in order to enhance auditory neural plasticity, especially in children with cochlear implantation.
Designing of multiband frequency selective surfaces

In this paper multiband frequency selective surface (FSS) has been designed using the iterative technique of the fractal geometry. A multiband FSS can be designed that use several iterations of the geometry to form a prefractal that resonates corresponding to the scales present in the geometry. The second iteration of sierpinski gasket fractal has been utilized to obtain three stop bands. Perfect electric conductor has been used as a conducting material situated over the dielectric material. A multiband FSS is excited by the plane wave using the unit cell boundary condition in CST simulator.
Latest Estimates of Survival Rates of the 24 Most Common Cancers in Adolescent and Young Adult Americans.

PURPOSE A need to examine survival trends of individual cancers in older adolescents and young adults (AYAs) is prompted by overall survival trends that have indicated a lack of progress in survival improvement for AYAs compared with both younger and older cancer patients. PATIENTS AND METHODS The most recent Surveillance, Epidemiology and End Results (SEER) data were used to ascertain survival trends of the 24 most frequent cancers in AYAs. RESULTS Of the 20 types of cancers in 15- to 39-year-olds evaluable for survival rate trends, only eight had evidence for a statistically significant improvement in their age-adjusted 5-year survival rate since 1985. As of 2000-2007, of the 24 most common types of cancer in American AYAs, nine had an age-adjusted 5-year survival rate in excess of 80% and eight had a survival rate below 60%. In 19 of 21 cancers for which a comparison of survival by gender is feasible, AYA males had a worse survival rate than females. Of the 23 types of cancer that are classifiable as distant disease, 13 had 5-year survival rates of less than 30%. CONCLUSION While some progress has been made, the lack of improvement for some cancers with distant disease is disappointing. Increased survival of AYA cancer patients offers significant societal gains in terms of years of productivity compared to older adults. If the potential long-term economic impact of health in AYAs is considered, the need to improve the survival of AYAs with cancer is obvious.
Throughput Improvement of STS-Based MC DS-CDMA System with Variable Spreading Factor

The throughput enhancement of Space-Time Spreading (STS)-based Multicarrier Direct Sequence Code Division Multiple Access (MC DS-CDMA) system is investigated in this paper. Variable Spreading Factor (VSF) is utilized to improve the data throughput of the system. In this contribution, an analytical approach is proposed to compute a new expression for the Bit Error Rate (BER) performance of the STS-based MC DS-CDMA system against pre-dispreading Signal-to-Noise Ratio (SNR) for different values of spreading factor (SF). The other contribution of the paper is deriving a new closed form expression for computing the throughput enhancement and the BER performance of the VSF STS-based MC DS-CDMA system over Rayleigh fading channel. It is demonstrated that using VSF method in STS-based MC DS-CDMA system improves the throughput of the system by keeping the BER performance at the target level.
POSTER PRESETATIONS ( ABSTRACTS ) Aula , 1 st floor 1 . Chemomentum Virtual Organization Services

State Machines (ASM) are mathematically defined environment for high-level system design, verification and analysis. In our previous work [1], a hybrid approach to specification, analysis and testing of grid stateful services has been presented. This approach is based on using ASM, and allows for an easy integration of created specifications of developed middleware with existing components of grid systems. In this paper we show how this approach can be utilized for testing grid software, in order to verify the conformance between behaviours of specification and implementation. An important advantage of the proposed method is possibility to carrying out the on-line mode of testing, when tests are generated simultaneously with their execution. The use of this mode allows for reducing the total time of verification.
A survey on the Software Maintenance Process

This research paper presents the results of a field survey for the characterisation of Software Maintenance Process in Portugal. It was concluded that the three biggest problems related to the Software Maintenance Process are: the lack of software maintenance process models, the lack of documentation of applications and the lack of time to satisfy the requests. Only 2.7% of the people who answered the questionnaire consider the software maintenance process very efficient; 70.2% consider it of a very low level of efficiency.