Miracle-dz/UniFAR-FTUs huggingface dataset:
EXPERIMENTAL USE OF ELECTROMAGNETIC ARTICULOGRAPHY IN A PERSON WITH MYOFUNCTIONAL DISORDER

Using articulography, we can analyse the digital recording of movements and positions of articulation organs (tongue, lips and mandible) during speech production and synchronize them with the acoustic signal. The main research question was to determine whether, the quality of lip and tongue movements change in an individual with a myofunctional disorder and in a control subject? The objective of the research is to measure the significant differences in articulation movements in persons with myofunctional disorder compared to the control subject by means of a three-dimensional measurement of speech movements through the AG501 articulograph. The research design is experimental and due to the difficulty of data measuring and processing, a small research sample was chosen through purposive election. The VisArtico programme was used for qualitative evaluation and visualization of the results. The analysis showed that the extent of the movement of the lips in the protrusion is smaller in the individual with the myofunctional disorder compared to the control subject. The movements of the tongue were equally fast in both people, but they varied with the manner of the articulation. The biggest difference was noticed in the quality of the movements of the lips and articulation of sounds [s] and [r]. The rate of movement of the tongue was not significantly different, but the difference was noted at the place and the manner of articulation. © 2019 Published by Future Academy www.FutureAcademy. org.UK
An eye‐tracking study on information processing in risky decisions: Evidence for compensatory strategies based on automatic processes

Many everyday decisions have to be made under risk and can be interpreted as choices between gambles with different outcomes that are realized with specific probabilities. The underlying cognitive processes were investigated by testing six sets of hypotheses concerning choices, decision times, and information search derived from cumulative prospect theory, decision field theory, priority heuristic and parallel constraint satisfaction models. Our participants completed 40 decision tasks of two gambles with two non-negative outcomes each. Information search was recorded using eye-tracking technology. Results for choices, decision time, the amount of information searched for, fixation durations, the direction of the information search, and the distribution of fixations conflict with the prediction of the non-compensatory priority heuristic and indicate that individuals use compensatory strategies. Choice proportions are well in line with the predictions of cumulative prospect theory. Process measures indicate that individuals thereby do not rely on deliberate calculations of weighted sums. Information integration processes seem to be better explained by models that partially rely on automatic processes such as decision field theory or parallel constraint satisfaction models. Copyright © 2010 John Wiley & Sons, Ltd.
Efficient Feature Selection Model for Gene Expression Data

Finding subset of informative gene is very crucial for biology process because several genes increase sharply and most of them are not related with others. In general, feature selection technique consists of two steps 1) all genes is ranked by a filter approach 2) rank list is sent to a wrapper approach. Nevertheless, the accuracy rate for recognition gene is not enough. Therefore, this paper proposes efficient feature selection model for gene expression data. First, two filter approaches are used to define many subset of attribute such as Correlation based Feature Selection (Cfs) and Gain Ratio (GR). Second, wrapper approach is used to evaluate each length of attribute that based on Support Vector Machine (SVM) and Random Forest (RF). The result of experiment depicts CfsSVM, CfsRF, GRSVM, and GRRF based on proposed model produce higher accuracy rate such as 87.10%, 90.32%, 87.10, and 88.71%, respectively.
Parallel join algorithms based on parallel B/sup +/-trees

Within the last several years, a number of parallel algorithms for the join operation have been proposed. However, almost all of these algorithms do not take advantage of the underlying parallel storage structures or data declustering methods of the operand relations. The paper introduces the concept of parallel storage structure or declustering aware parallel join algorithm. Two classes of parallel join algorithms, which take advantage of the underlying parallel B/sup +/-tree index, are proposed and analyzed. One class is based on the range-partition strategy. The other is based on the hash-partition strategy. The parallel execution times of the algorithms are linearly proportional to max{N/P, M/P}, where N and M are the numbers of tuples of the operand relations and P is the number of processing nodes. The proposed parallel join algorithms are compared with well known parallel join algorithms in practice. Theoretical and experimental results show that the proposed algorithms are more efficient than others in case of at least one operand relation having a parallel B/sup +/-tree index on the join attributes.
Predicting human performance by a channelized Hotelling observer model

A psychophysical experiment was conducted to measure the performance of human observers in detecting an exactly known signal against a random, nonuniform background in the presence of noise correlations introduced by post-detection filtering (postprocessing). In order to predict this human performance, a new model observer was synthesized by adding frequency-selective channels to the Hotelling observer model which we have previously used for assessment of image quality. This new `channelized' Hotelling model reduces approximately to a nonprewhitening (NPW) observer for images with uniform background and correlated noise introduced by filtering, and to a Hotelling observer for images with nonuniform background and no postprocessing. For images with both background nonuniformity and post processing, the performance of this channelized Hotelling observer agrees well with human performance while the other two observer models (NPW and Hotelling observer) fail.
A new time‐domain method based on the general transmission‐line equations

General transmission‐line equations that can describe both uniform and nonuniform transmission line are derived in brief. By using the algorithm analogous with a one‐dimensional FDTD in the time domain, we obtain a new time‐domain method we call the on‐line FDTD method. Frequency‐domain results are compared with those computed by the MoM to show the validity of our new method. © 2002 John Wiley & Sons, Inc. Microwave Opt Technol Lett 32: 46–51, 2002.
A Survey and Tutorial on Shape and Reflectance Estimation Techniques

Recently there has been significant activity and progress in reconstruction of surface and reflectance models from images of objects with a general reflectance. Some recent work builds-on, extends and combines multi-view stereo, volumetric reconstruction and various shape-from-shading approaches. Another characteristic of the more recent work is a that a careful mathematical modeling separates the problem formulation (e.g. cost functional) from an algorithmic formulation (PDE solver, optimization) as in the variational approaches to shape and reflectance recovery. In this paper we combine a survey of recent methods with a gentle enough introduction/tutorial to make it accessible to a wide audience. In particular we are provide a taxonomy of methods, grouping them mainly according to the type of representation (disparity map, voxels, mesh, level sets). We present state of the art optimization approaches used in surface reconstruction like graph cuts or variational methods. Special attention is given to methods that deal with general reflectance for both single view and multi-view approaches. To make the paper readable standalone, we provide short reviews of important theoretical aspects of the shape reconstruction (e.g. reflectance modeling, shape from shading, photometric stereo, variational stereo formulation).
Bayesian Hierarchical Meta-Analysis of Asymptomatic Ebola Seroprevalence

The continued study of asymptomatic Ebolavirus infection is necessary to develop a more complete understanding of Ebola transmission dynamics. This paper conducts a meta-analysis of eight studies that measure seroprevalence (the number of subjects that test positive for anti-Ebolavirus antibodies in their blood) in subjects with household exposure or known case-contact with Ebola, but that have shown no symptoms. In our two random effects Bayesian hierarchical models, we find estimated seroprevalences of 8.76% and 9.72%, significantly higher than the 3.3% found by a previous meta-analysis of these eight studies. We also produce a variation of this meta-analysis where we exclude two of the eight studies. In this model, we find an estimated seroprevalence of 4.4%, much lower than our first two Bayesian hierarchical models. We believe a random effects model more accurately reflects the heterogeneity between studies and thus asymptomatic Ebola is more seroprevalent than previously believed among subjects with household exposure or known case-contact. However, a strong conclusion cannot be reached on the seriousness of asymptomatic Ebola without an international testing standard and more data collection using this adopted standard.
Statistical analysis of thermal images generated by line scanning

In this paper a statistical analysis of thermal images, obtained by the line scanning technique, with the view of reducing the image data redundancy is given. The analyzed thermal images are produced by the infrared line scanner on board and by a computer simulation. The statistical analysis is based on grey level mean values, standard deviations and correlations. A special filtering method is proposed to eliminate the line-like interference which appears on enlarged thermal image photographs made from the film.
Control of left ventricular assist device using artificial neural network

Presents the neural network identification and control of a highly complicated nonlinear Left Ventricular Assist Device (LVAD) system with a pneumatically driven mock circulation system. Generally an LVAD system needs to compensate for nonlinearities. Hence, it is necessary to apply high performance control techniques. Fortunately, a neural network can be applied to the control of a nonlinear dynamic system by utilizing its learning capability. Here, the authors identify an LVAD system with Neural Network Identification (NNI). Once the NNI has learned the dynamic model of the LVAD system, another network, called Neural Network Controller (NNC), is designed for control of the LVAD system. The ability and effectiveness of identifying and controlling an LVAD system using the proposed algorithm is demonstrated by computer simulation.
Balancing I/O response time and disk rebuild time in a RAID5 disk array

When a disk in the RAID5 disk array architecture has failed, requests to that disk can only be serviced by reading data from all surviving disks and rebuilding the lost data. This may cut disk performance in half. To avoid this degradation, all of the lost data must be rebuilt and written to a spare disk. The faster the data are rebuilt, the sooner the disk array returns to normal operation. Giving high priority to the rebuild process, however, can increase response times for incoming application requests which complete for disk service. A balance must be found between acceptable application response times and disk rebuild times. Simulation was used to evaluate the effect of the rebuild unit size on response time and rebuild time. The authors have found this tradeoff to be embodied in the choice of the rebuild unit and the amount of rebuild data which is atomically read from each surviving disk. The find that a single track rebuild unit provides faster rebuild times than a one sector rebuild unit. Rebuilding one track at a time provides better application request response times when compared with rebuilding one cylinder at a time. <<ETX>>
Energy Consumption Analysis Satisfying Time–Energy–Probability Constraints for Modern DVFS Microprocessor

ABSTRACT Dynamic voltage and frequency scaling (DVFS) is a popular technique to save energy for modern microprocessor. DVFS-based energy-aware scheduling technique is a critical energy saving technology for multi-task execution on modern DVFS processor. Many DVFS-based energy-aware scheduling technologies are unsatisfying for the trade-off between optimizing scheduling length and saving energy, and most of these technologies do not consider task execution time with probability distribution in real world. In this paper, we propose an energy-aware probabilistic scheduling approach to balancing between optimizing scheduling length and saving energy in a time–energy–probability constrained multi-task uniprocessor system, and we consider that each task execution time follows a probability distribution. We first construct system models, including DVFS operating environment, task model with each task execution time following a probability distribution, and energy model. In order to balance between task scheduling length and energy consumption, we propose time–energy–probability constraints scheduling (TEPcs) problem for the DVFS processor system. To solve TEPcs problem, we use a probabilistic weighted timed automaton to model the running behaviours of the processor system. Then, we devise a polynomial time heuristic algorithm through the probabilistic weighted timed automaton to find the optimal energy path as the solution of TEPcs problem. A case study and repeated experimental analysis demonstrate that our method is feasible and effective.
Study on the "Flexibility" Development Method

In software engineering field, it is an important study topic that building more suitable and effective development method. Although there are many type of traditional development methods, and in past development activities they achieved great success, but they lack "flexibility". With the complexity and variability gradually increased in software development process, due to the lack of "flexibility", the ability of traditional development methods will be restricted. In order to enhance the ability of development method, concept of "flexibility" development method has been proposed, and some problems related to "flexibility" development method have been discussed. Such as that: some factors making the "flexibility" development method to appear, some technology related to "flexibility" development method, some strategy constructing "flexibility" development method, future development trends. Through these discussions, study work of software engineering theory is promoted.
Pit-a-Pat: A Smart Electrocardiogram System for Detecting Arrhythmia.

BACKGROUND Electrocardiogram (ECG) telemonitoring is one of the most promising applications of medical telemetry. However, previous approaches to ECG telemonitoring have largely relied on public databases of ECG results. MATERIALS AND METHODS In this article we propose a smart ECG system called Pit-a-Pat, which extracts features from ECG signals and detects arrhythmia. It is designed to run on an Android™ (Google, Mountain View, CA) device, without requiring modifications to other software. RESULTS We implemented the Pit-a-Pat system using a commercial ECG device, and the experimental results demonstrate the effectiveness and accuracy of Pit-a-Pat for monitoring the ECG signal and analyzing the cardiac activity of a mobile patient. CONCLUSIONS The proposed system allows monitoring of cardiac activity with automatic analysis, thereby providing a convenient, inexpensive, and ubiquitous adjunct to personal healthcare.
Compositional Mapping of Materials with Single-Pass Kelvin Force Microscopy Application Note

This note describes the applications of single-pass Kelvin force microscopy (KFM) to a broad range of samples. Particularly, it will be shown that KFM substantially complements phase imaging in compositional mapping of complex multicomponent materials. Description of Single-Pass Kelvin Force Microscopy Measurements Currently, the expansion of AFM applications is governed by a multifrequency detection of mechanical and electric tip-sample force interactions. In studies of local electric properties, these advances are related to single-pass Kelvin force microscopy (KFM) that can be implemented in different frequencies set-ups. For the past couple of years we have explored various single-pass KFM implementations, which are schematically shown in Fig. 1. This diagram illustrates that a combined detection of the mechanical and electric tip-sample interactions can be realized with amplitude modulation (AM) and frequency modulation modes (FM). Most of the experiments so far were conducted with the AM detection of the tip-sample forces that are used for topography profi ling at the resonant frequency of the probe. Simultaneously with the topography measurements the electrostatic force interactions between the conducting probe and the sample are stimulated with AC voltage applied to the probe at much lower frequency. These electrostatic forces are measured with the AM or FM detection and their nullifi cation with DC voltage in the KFM servo operation provide the quantitative surface potential data. Recently we have started using AFM measurements with FM servo for topography profi ling and two related KFM modes: FM-AM and FM-FM are currently under scrutiny. Sergei Magonov and John Alexander Agilent Technologies Figure 1. Sketch of different implementations of Kelvin force microscopy. Two servo-loops, which are based on the lock-in amplifi ers (LIA), are employed for simultaneous detection of the mechanical and electrostatic tip-sample interactions. Topography profi ling is arranged at the probe resonant frequency, 1, with the Z-servo using amplitude modulation (AM) or frequency modulation (FM). The KFM servo operates at 2 (<< 1) and it is based on the defl ection or phase signals, respectively in AM and FM approaches. Different KFM set-ups: AM-FM, AM-AM, FM-AM, FM-FM can be chosen for studies of local electric properties. The 3 LIA can be used for collection of dC/dZ response at 2 2. XYZ Piezo Scanner SLD/Laser Cantilever Photo Detector Sample AM or FM Demodulation KFM Servo AM or FM Demodulation Z Servo Deflection Tip Bias = AC 2 + DC Servo 2 PZT Shaker Deflection
Active submarine tectonism and formation of the Gulf of Saros , Northeast Aegean Sea , inferred from multi-channel seismic reflection data

Active submarine tectonism and the formation of the Gulf of Saros, northeast Aegean Sea, were investigated by means of multi-channel seismic reflection data. This area is a key in understanding the development of major structures resulting from the interacting regimes of the Western Anatolia–Aegean Sea and the North Anatolian Fault zone (NAF). The major feature forming the Gulf of Saros is the Ganos fault, which is one of the main segments of the northern strand of the NAF. In this study, a total of 159 km reflection seismic data were collected, processed and interpreted in seven lines in order to map active submarine faults which were used to propose a tectonic model for opening of the Gulf of Saros. Interpretation of the seismic sections and their correlation with the geological, morphological and earthquake data indicate that there are two main fault systems in the gulf: (i) strike-slip faults with normal components which bound the Saros trough in the north and south; and (ii) normal faults located within the trough. We propose that the Saros trough was first formed as a negative flower structure in response to the southward bending of the NAF zone possibly in Plio-Quaternary, then it evolved as a dilated negative flower structure as the Aegean extension intensified in late Pliocene–Quaternary. q 2000 Elsevier Science B.V. All rights reserved.
An online distribution feeder optimal reconfiguration algorithm for resistive loss reduction using a multi-layer perceptron

This paper presents an online distribution feeder optimal reconfiguration algorithm for resistive loss reduction. Artificial neural networks (ANNs) were used to assure the application feasibility in real-time. The demand variation used during the ANN training is represented by samplings via Monte Carlo simulation. A consolidated heuristic algorithm is utilized to obtain the demand topologies. An integer formulation is used to guarantee the solution optimality from the initial solution supplied by the ANN. We also present the application of results to a demonstrative test system, indicating applications in real systems where topological alterations are required.
Meteorological Tsunami of 19 March 2017 in the Persian Gulf : Observations and Analyses 2 3

5 Abstract—On 19 March 2017, destructive tsunami-like waves 6 impacted the northeast shore of the Persian Gulf (PG). The maxi7 mum surveyed runup of about 3 m was observed at Dayyer in 8 southern Iran, where damaging waves inundated the land for a 9 distance of * 1 km and resulted in the deaths of five people. 10 Because the PG has always been considered safe from extreme 11 oceanic waves, the event was totally unexpected. In this study, we 12 examined sea level data from 12 stations across the PG and a 13 variety of meteorological information, including satellite imagery, 14 high-altitude isohypse maps and high-resolution air pressure 15 records from 47 instruments along the PG. Our results show that 16 the event was very local, with recorded maximum trough-to-crest 17 wave heights of 197 cm at Dayyer and 234 cm at Asaluyeh, near18 field cities in Iran located * 80 km apart. The dominant wave 19 periods were in the range of 15–20 min. At all distant tide gauges, 20 the observed wave heights were\ 35 cm. No earthquakes or 21 landslides were evident at the time of the event. On the other hand, 22 atmospheric processes during 18–22 March were very active and 23 10 distinctive tsunamigenic air pressure disturbances were 24 observed propagating over the PG, suggesting that the event of 19 25 March 2017 was a ‘‘meteorological tsunami’’. Atmospheric con26 ditions over the PG were highly favourable for the generation of 27 meteotsunamis and very similar to those that caused a chain of 28 strong meteotsunamis in the Mediterranean and Black Sea regions 29 during 23–27 June 2014. Based on the 500 hPa wind, we evaluated 30 that the disturbances had propagation speeds of 21–38 m/s, with 31 the disturbance at Dayyer having a speed of * 26 m/s toward 77 32 True. The Froude number, Fr (estimated as the ratio of the air 33 disturbance speed to the long wave speed), on 19 March 2017 in 34 the Dayyer/Asaluyeh region was close to resonance, Fr * 0.9 to 35 1.1, which is highly favourable for meteotsunami generation. Our 36 findings indicate that the Dayyer/Asaluyeh area is a ‘‘hot spot’’ that 37 is highly vulnerable to extreme, weather-induced tsunami-like 38 waves.
DEVELOPING AND CHARACTERIZING NEW MULTIPHASE COMPOSITE MATERIALS FOR AUTOMOTIVE BRAKE ROTORS

The paper focuses on development and material properties measurements of new structural combinations of particle-particle multiphase polymeric composite materials. The composites were manufactured using a self-developed technology, embedding in different volume fraction iron oxide and black carbon into a polymeric matrix with the purpose of obtaining a new material with improved mechanical and thermal properties to be used for automotive brake rotors. The paper focuses on one of the most important thermal property, the linear coefficient of thermal expansion (CTE), which represents the structures’ stability related indicator. This thermal property will be measured using a differential dilatometer DIL 402 PC from Netzsch (Germany). Based on the experimental data retrieved, several manufacturing and structural composition related influencing factors will be identified with the purpose of tailoring further material combinations for automotive brake rotors.