Miracle-dz/UniFAR-FTUs huggingface dataset:
Whom are You Talking with? An Experiment on Credibility and Communication Structure

The paper analyzes the role of the structure of communication - i.e. who is talking with whom - on the choice of messages, on their credibility and on actual play. We run an experiment in a three-player coordination game with Pareto ranked equilibria, where a pair of agents has a profitable joint deviation from the Pareto-dominant equilibrium. According to our analysis of credibility, the subjects should communicate and play the Pareto optimal equilibrium only when communication is public. When pair of agents exchange messages privately, the players should play the Pareto dominated equilibrium and disregard communication. The experimental data conform to our predictions: the agents reach the Pareto-dominant equilibrium only when announcing to play it is credible. When private communication is allowed, lying is prevalent, and players converge to the Pareto-dominated equilibrium. Nevertheless, at the individual level, players‚Ao beliefs and choices tend to react to messages even when these are non-credible.
Electrospraying and ultraviolet light curing of nanometer-thin polydimethylsiloxane membranes for low-voltage dielectric elastomer transducers

Dielectric elastomer transducers (DETs) have attracted interest as actuators, sensors, and even as self-sensing actuators for applications in medicine, soft robotics, and microfluidics. To reach strains of more than 10 %, they currently require operating voltages of several hundred volts. In medical applications for artificial muscles, however, their operation is limited to a very few tens of volts, which implies high permittivity materials and thin-film structures. Such micro- or nanostructures can be prepared using electro-spraying, a cost-effective technique that allows upscaling using multiple nozzles for the fabrication of silicone films down to nanometer thickness. Deposition rates of several micrometers per hour have already been reached. It has been recently demonstrated that such membranes can be fabricated by electro-spraying and subsequent ultraviolet light irradiation. Herein, we introduce a relatively fast deposition of a dimethyl silicone copolymer fluid that contains mercaptopropyl side chains in addition to the methyl groups. Its elastic modulus was tuned with the irradiation dose of the 200 W Hg-Xe lamp. We also investigated the formation of elastomer films, using polymer concentrations in ethyl acetate of 1, 2, 5 and 10 vol%. After curing, the surface roughness was measured by means of atomic force microscopy. This instrument also enabled us to determine the average elastic modulus out of, for example, 400 nanoindentation measurements, using a spherical tip with a radius of 500 nm. The elastomer films were cured for a period of less than one minute, a speed that makes it feasible to combine electro-spraying and in situ curing in a single process step for fabricating low-voltage, multilayer DETs.
Optimal stochastic modeling with unitary quantum dynamics

Isolating past information relevant for future prediction is central to quantitative science. Quantum models offer a promising approach, enabling statistically faithful modeling while using less past information than any classical counterpart. Here we introduce a class of phase-enhanced quantum models, representing the most general means of simulating a stochastic process unitarily in causal order. The resulting constructions surpass previous state-of-art methods---both in reducing the information they need to store about the past and in the minimal memory dimension they require to store this information. Moreover, these two features are generally competing factors in optimization---leading to an ambiguity in optimal modeling that is unique to the quantum regime. Our results simultaneously offer quantum advantages for stochastic simulation and illustrate further qualitative differences between classical and quantum notions of complexity.
Limitation of Improvement in Germination by Osmopriming of Differentially Aged Non-Orthodox Neem ( Azadirachta indica ) Seeds

This work involves physiological and biochemical features of seed ageing gauged from seed viability and vigour over the period of storage. Both conventional storage (natural ageing) and controlled deterioration (accelerated ageing) are resulted in loss of germination capacity and vigour as well as poor seedling establishment. Present findings indicate that both natural and accelerated ageing sustain similar pattern, except their mortality curve. In natural ageing, prior to entering sigmoidal type decline a period of relative stability exists; whereas in accelerated aging, such relative stability is absent. It is also observed that rate- controlling process of ageing (natural ageing slow whereas accelerated ageing fast) was dependent upon moisture content and temperature. These physical factors have negative linear correlation with seed viability. Membrane integrity and lipid peroxidation are associated with seed ageing, however peroxidation does not hold exact with accelerated ageing. Additionally, these aged seeds were exposed to osmopriming (controlled hydration) resulted in improved germination characterized by faster and uniform germination. For the first time, it was strongly established that osmopriming significantly improves the seed germination (about 12- 17%) until a critical level (up to 50% germination) during the ageing and thereafter priming does not support the process of improvement of germination. Such improvement prediction is important for physiologists and seed technologists to recruitment the degree of priming.
Spectrum-Efficient and Low-Complexity Sparse Channel Estimation for TDS-OFDM

This paper proposes a spectrum-efficient and lowcomplexity compressive sensing (CS) based sparse channel estimation scheme for time domain synchronous OFDM (TDSOFDM) systems. Compared with the conventional channel estimation schemes for TDS-OFDM which suffer from an obvious performance loss over doubly-selective fading channels or reduction in spectral efficiency, the proposed method outperforms its counterparts in estimation accuracy and spectral efficiency. First, we propose an overlap-add method of the time-domain training sequence (TS) to obtain the coarse channel estimation, whereby the temporal correlation of wireless channels is exploited to effectively improve the robustness of the coarse channel estimation to severe doubly-selective fading channels. Second, a priori information aided iterative hard threshold (PIA-IHT) algorithm is proposed to acquire the accurate channel estimation with low complexity, whereby the priori information from the coarse channel estimation is utilized to improve the channel estimation accuracy. Finally, simulation results demonstrate that the proposed scheme is superior to the state-of-the-art schemes in typical scenarios, especially under severe multipath channels with long delay spread.
Access to Credit and Comparative Advantage

Access to external funds is crucial for the entry and expansion of entrepreneurial firms and the sectors they predominantly arise in. This paper reports three important results. First, comparative advantage is shaped by factor endowments as well as fundamental determinants of corporate finance. In particular, a larger equity ratio of firms and tough governance standards relax financing constraints, lead to entry of firms at the lower bound of the productivity distribution and create an endogenous comparative advantage in sectors where entrepreneurial firms are clustered. Second, a small degree of protection in the constrained sector can raise a country's welfare by relaxing financing constraints if terms-of-trade effects are small. Third, a small degree of protection of the financially dependent industry in a financially underdeveloped country might even raise world welfare.
TRACKING LOW-LEVEL CLOUDS OVER LAND ON METEOSAT IMAGES

The tracking of reliable low-level cloud motion winds over land remains a difficult task. For this purpose, conventional computation techniques can be used and be associated to selection tests on vectors based on climatological characteristics of the expected winds. Such tests have been successfully used to extract monsoon winds over West-Africa during the rainy season from Meteosat VISible images. The number of vectors is increased by using rapid scan images. Other improvements include the use of the information from other channels (in particular the Water Vapour) to reject non low-level winds. Methods based on the estimation of quasi-dense motion fields using optical flow techniques are introduced. Generic methods have been adapted to the highly deformable nature of cloud motion and to the photometric specificities of images at hand (low contrast and global variations of illuminations). Results of both types of methods are presented and compared.
University ’ s repository of research publications and other research outputs Modelling CDA mass spectra Journal Item

We present the initial results from a simulation of ion behaviour within Cassini’s cosmic dust analyser (CDA) instrument, using an inhouse ion dynamics code. This work is to enable and enhance the detailed interpretation of dust impact ionisation mass spectra returned from the Saturnian system. Early work has already provided insights into the properties of the impact plasma in both lowand highvelocity impacts. We find that the isotropic emission of ions from the impact plasma successfully reproduces features seen in flight spectra and that the emitted ions have a higher range of energies (tens to hundreds of eV) than previously reported in some studies. Using these new ion characteristics, we have successfully modelled CDA flight mass spectra. r 2006 Elsevier Ltd. All rights reserved.
Structure and properties of plasma sprayed BaTiO 3 coatings

Plasma spraying enables to create layers with thickness in a millimeter range adhering on various substrates. This paper provides a study of electric and mechanical properties of BaTiO3 coatings prepared by atmospheric plasma spraying. The spraying was carried out by a direct current gas-stabilized plasma gun. BaTiO3 was fed into the plasma jet as a feedstock powder prepared by a reactive sintering of micrometer-sized powders of BaCO3 and TiO2. Microstructure and phase composition are reported and discussed in connection with electric and mechanical properties. The ability of the used techniques to detect precisely the phase transformation temperatures of BaTiO3 plasma sprayed coatings is discussed as well. A depth-sensing indentation measurement was done between 290 and 520 K to provide local mechanical characterization. The elastic modulus has shown slightly higher values than that reported typically in papers focused on BaTiO3 ferroelectric thin films. The average Vickers microhardness is tested to characterize the samples in larger scale. A wear resistance in a slurry environment is reported as well. Dielectric properties are reported for the temperature window of existence of the tetragonal ferroelectric phase. Relative permittivity and loss factor are studied at frequency from 50 Hz to 1 MHz and temperature from 260 to 400 K. # 2010 Elsevier Ltd and Techna Group S.r. l. All rights reserved.
Ramping Advanced Silicon Solar Cell Production with Virtual Wafer Tracking

First Solar’s TetraSun pilot production line featured single wafer tracking and sophisticated analytics. In this modern PV production environment, wafers are tracked virtually, with no physical (eg. laser) marking required, ensuring that no efficiency or yield loss is incurred, and no additional hardware is required. The tracking system provided the platform to develop techniques for (i) running experiments and line optimisation efficiently and with high statistical power and few unnecessary assumptions; (ii) ensuring quality control through the application of physics-based multivariate models to high dimensional data sets; and (iii) reducing the impact of yield loss events and accelerating root cause analysis. Such techniques were essential ingredients for the successful commissioning, ramp-up and operation of the novel, low-cost, high-efficiency TetraSun cell and module technology to 100 MW mass production.
Unsupervised Resource-Free Entity Discovery and Linking in Natural Language Questions

We present the solution to the CCKS 2017 question entity discovery and linking (QEDL) task. This task is to discover and link entity mentions in natural language questions with their referent entities in a knowledge base (KB). For entity discovery, we devise recognition patterns based on word segmentation and POS tagging. For entity linking, we leverage contextual similarity refined by rich side information contained in the KB. Our solution is fully unsupervised and resource-free, requiring neither labeled data nor auxiliary resources. Experimental results show that our solution is simple yet effective, achieving an F1-score of 44.3% which ranks the third in the QEDL task.
Feature Attribution As Feature Selection

Feature attribution methods identify “relevant” features as an explanation of a complex machine learning model. Several feature attribution methods have been proposed; however, only a few studies have attempted to define the “relevance” of each feature mathematically. In this study, we formalize the feature attribution problem as a feature selection problem. In our proposed formalization, there arise two possible definitions of relevance. We name the feature attribution problems based on these two relevances as Exclusive Feature Selection (EFS) and Inclusive Feature Selection (IFS). We show that several existing feature attribution methods can be interpreted as approximation algorithms for EFS and IFS. Moreover, through exhaustive experiments, we show that IFS is better suited as the formalization for the feature attribution problem than EFS.
Do low-head riverine structures hinder the spread of invasive crayfish? Case study of signal crayfish (Pacifastacus leniusculus) movements at a flow gauging weir

Increasing legislative drivers demand the removal or modification of riverine barriers to enhance habitat connectivity for fish; however there is also concern that greater connectivity will hasten the spread of aquatic invaders such as the signal crayfish (Pacifastacus leniusculus). Passive Integrated Transponder (PIT) telemetry was used to assess passage of signal crayfish (n=392) over a typical low-head riverine structure, a flow gauging weir, during a 17 month period. Sixty percent of tagged crayfish were detected, with greatest crayfish activity associated with high water temperatures and long day lengths. The study weir reduced upstream crayfish movements, with 45% less passages than in the control stretch with no weir, but there was no difference in the downstream direction. We found sex and size related differences in crayfish movement patterns with male crayfish more likely to successfully ascend the weir, and larger crayfish to descend the weir. Although increased fluvial connectivity will benefit migratory fish species, we suggest that the removal or modification of even quite minor, low-head structures such as the one investigated could hasten the upstream spread of signal crayfish.
UvA-DARE ( Digital Academic Repository ) Amyotrophic lateral sclerosis : mortality risk during the course of the disease and prognostic factors

We performed a historical cohort study of 307 untreated patients with probable or definite amyotrophic lateral sclerosis in order to investigate whether the mortality risk changed during the disease course and to identify prognostic factors at diagnosis. Patients were diagnosed in one of the academic hospitals in The Netherlands and followed-up for at least 6 years after diagnosis. The median survival from diagnosis was 1.4 years (95% confidence interval, 1.3–1.6 years) with an estimated 5and 10-year survival of 20 and 8%, respectively. Mortality was at its maximum in the second year after diagnosis and declined considerably thereafter. Observed mortality approached the expected mortality in patients who survived diagnosis 6 or more years. In univariate and multivariate analyses, young age, limb onset, and a long delay between initial weakness and diagnosis were associated with lower mortality. The better prognosis of limb-onset patients was not observed in females. Patients with initial respiratory muscle weakness, had the worst prognosis with a median survival of only 2 months. The significantly greater mortality of older patients proved not to result from a rise in expected mortality only. In conclusion, the annual mortality risk in ALS does not remain constant throughout the disease and depends on age at diagnosis, site of onset, diagnostic delay, but also on the time since diagnosis. These findings may have consequences for the planning of symptomatic care and the design and analysis of therapeutic trials.  1997 Elsevier Science B.V.
API Recommendation System for Software - Game Category

Software development depends on Application Programming Interfaces (APIs) to achieve their goals. However, choosing the right APIs remains as a difficult task for software engineers. Considering that recommendation systems are emerging to support software engineers in their decision-making task and Games industry has a huge economic and cultural success, we proposed a technique that considers Game category from SourceForge and recommends APIs to software engineers with software in initial (not using APIs) or advanced (using some APIs) stage of software development. We used collaborative filtering technique along with frequent Itemset mining technique for generating the corresponding large and top-N lists of APIs recommended. We evaluated lists performance based on two classification accuracy metrics (precision and recall) and one efficacy metric (recall rate), obtaining promising outcomes. Thus, the results of evaluation metrics showed that our technique could make useful API recommendations for software engineers with Game software that used a small number of APIs or did not use any API. Besides, our technique was able to put relevant APIs even in high-ranking positions, even in small top-N lists of APIs recommended.
Emotional and Spiritual Quotient Approach Improve Biology Education Students’ Acceptance of Evolution Theory

Emotional and spiritual aspect is one of main factors that influence students’ acceptance of a theory. This study aim to measure university students’ acceptance of evolution by learns evolution using emotional and spiritual quotient (ESQ) approach. This is a quasi-experimental research using one shot case study design with the subject 36 biology educational students at Biology Department, Faculty of Mathematics and Natural Science, Universitas Negeri Padang. Data collected using the MATE instrument by Rutledge and Warden (2000) after the students learn evolution for eight meetings since January until March 2017. The result showed that by learning evolution theory combine with ESQ aspects increase students acceptance from very low become moderate acceptance. It concluded that ESQ aspects can improve students’ acceptance of evolution. Any criteria depend on it are discussed.
Pilot Symbol Assisted Hybrid Detection for OFDM‐Based Spatial Multiplexing Systems

In this paper, we provide a new detection scheme for a pilot symbol assisted interference nulling and cancellation operation to reduce unexpected effects owing to parallel transmission in orthogonal frequency division multiplexing (OFDM)‐based spatial multiplexing systems. We have shown that the investigated OFDM vertical Bell laboratories layered space time (VBLAST) detection based on hybrid processing performs better than ordinary OFDM‐VBLAST detections based on serial processing and parallel processing, respectively.
Application of a Modified Tar Model to CIP Deviations in Asian Data

The methodology to be used in this paper is estimation of a threshold autoregressive (TAR) model. In this model deviations are random within a band defined by transactions costs and contract risk, and autoregressive towards the band outside it. The principal reference is Tchernykh (1998). These estimates can provide indicators for policy-makers of the market's expectation of crisis. They could also provide indicators for the private sector of convergence of deviations to their usual bands. The estimation methodology is a non-linear three-regime maximum likelihood procedure. The TAR model has the potential to be applied to differentials between linked pairs of financial market prices more generally. This paper modifies the classical TAR model to allow for progressive deviations from a stochastic regime, rather than simple jumps.
The D.C Electrical Properties of magnesium Filled Polymer Composites

In this paper the effect of filler content on D.C electrical properties of polyvinylchloride filled with magnesium powders has been investigated. For that purpose, the polyvinylchloride samples with magnesium additive prepared with different percentages and different thickness. The experimental results showed that the D.C conductivity of such composites increases suddenly by several order of magnitude at a critical weight concentration. The D.C electrical conductivity changed with increasing of temperature. Also the activation energy change with increasing filler concentration.
European Equity Market Contagion: An Empirical Application to Ireland's Sovereign Debt Crisis

This paper examines the time-varying conditional correlations of daily European equity market returns during the Irish sovereign debt crisis. A dynamic conditional correlation (DCC) multivariate GARCH model is used to estimate to what extent the collapse of Irish equity markets and subsequent troika intervention in Ireland spilled over upon European equity markets during this crisis. During the Irish financial crisis from 2007 to 2010, strong contagion effects are uncovered between Irish equity markets and the investigated European equity markets. The contagion effects are found to ease dramatically in the period after troika intervention in Irish finances. This result supports the use of bailouts and external financial intervention as a mechanism to mitigate and absorb contagion associated with state-specific financial crises and if possible, should be considered as a primary response function in future cases of sovereign debt crisis.
Time-Dependant Illumination and Animation of Virtual Hagia -

This paper presents a case study centered on the virtual restitution and virtual life simulation of a highly complex and endangered heritage edifice: the church of Hagia Sophia, in Istanbul,Turkey.The goal of this article is to describe the techniques used in order to achieve a real time rendering and animation of the selected space and its characters, as well as to point out the challenges and solutions that such a work implies at different stages in production. Most of these issues are focused on the reconstruction of the architecture of the site; however, in order to achieve an accurate simulation, the social aspect is not to be omitted.The importance of a heritage site resides as well in the historical characters and the social interactions that were taking place there: this information allows a better understanding of the function and the importance of the selected site in connection with the cultural aspects of the life at a certain time. In order to strengthen the feeling of immersion in a heritage edifice virtually restituted, it is important to recreate virtual life and describe the timely evolutionary aspects of the edifice as well.