Miracle-dz/UniFAR-FTUs huggingface dataset:
MSAS: An M-mental health care System for Automatic Stress detection

The negative signs of stress can be reduced or even eliminated if they are recognized early. Hence, the level of stress needs to be continuously measured and reported especially if the stressors are frequent or continuous. M-health is a new technology to provide mobile healthcare services including mental and behavioral. It allows the healthcare specialists and patients to be linked beyond their mobility and physical location while the system is connected. This paper presents the system model for an M-mental healthcare system which automatically detects stress. This system, which is called MSAS, continuously measures the stress level using wearable sensors connected to a mobile phone. The consumer gets alarm and/or the mental healthcare team receives a call if the stress level is recognized above a particular threshold. MathLab is used to simulate and evaluate MSAS. The results show that MSAS offers benefits to detect stress with an acceptable level of accuracy.
The tidal history of Iapetus: Spin dynamics in the light of a refined dissipation model

We study the tidal history of an icy moon, basing our approach on a dissipation model, which combines viscoelasticity with anelasticity and takes into account the microphysics of attenuation. We apply this approach to Iapetus, the most remote large icy moon in the Saturnian system. Different authors provide very different estimates for Iapetus's despinning timescale, by several orders of magnitude. One reason for these differences is the choice of the dissipation model used for computing the spin evolution. As laboratory data on viscoelastic properties of planetary ices are sparse, many studies relied on dissipation models that turned out to be inconsistent with experiment. A pure water ice composition, generally assumed in the previous studies of the kind, yields despinning times of the order of 3.7 Gyr for most initial conditions. We demonstrate that through accounting for the complexity of the material (like second‐phase impurities) one arrives at despinning times as short as 0.9 Gyr. A more exact estimate will remain unavailable until we learn more about the influence of impurities on ice dissipation. By including the triaxial‐shape‐caused torque, we encounter a chaotic behavior at the final stage of despinning, with the possibility of entrapments in the intermediate resonances. The duration of these entrapments turns out to be sensitive to the dissipation model. No long entrapments have been found for Iapetus described with our laboratory‐based dissipation model.
The role of households in the smart grid: A comparative study

The electricity system is currently facing great changes due to a number of challenges, including the need to mitigate climate change and replace fossil fuels with renewable energy sources. This calls for new solutions at all levels of the electricity system. Households are assigned a key role in these changes by system developers, researchers and policy makers, e.g. by realising electricity savings or providing a more “flexible” electricity consumption (also called “load management”) in order to optimise the electricity system and balance consum ption with fluctuating electricity generation from e.g. wind power. Thus, development of the so-called “smart grid” is an example of how the changes of a large technological system are affecting all elements of the system. On the basis of a comparative study of Norway, Spain and Denmark, this paper analyses differences and similarities between these countries in relation to the current electricity system, energy policy plans, smart grid research and demonstration activities. The aim of this is to explore how countryspecific factors influence the conceptualisation of households’ role in the future smart grid. The analysis focuses on how, for example, differences in national plans for future changes on the electricity production side (like integrating more wind power, hydropower etc.) influence smart grid strategies and understandings of the households’ role in the future electricity system. Furthermore, the paper discusses the main challenges and limitations of the present approach to the integration of households in a future smart grid; particularly the importance of understanding the interaction between smart grid technologies and everyday practices. This part draws on practice theory.
A Simple Gaussian Measurement Bound for Exact Recovery of Block-Sparse Signals

We present a probabilistic analysis on conditions of the exact recovery of block-sparse signals whose nonzero elements appear in fixed blocks. We mainly derive a simple lower bound on the necessary number of Gaussian measurements for exact recovery of such block-sparse signals via the mixed norm minimization method. In addition, we present numerical examples to partially support the correctness of the theoretical results. The obtained results extend those known for the standard minimization and the mixed minimization methods to the mixed minimization method in the context of block-sparse signal recovery.
Assessment of maxillary sinus opacity and natural ostia with digital tomosynthesis radiography

Poster: "ECR 2011 / C-1207 / Assessment of maxillary sinus opacity and natural ostia with digital tomosynthesis radiography" by: "H. Machida1, T. Yuhara1, J. M. Sabol2, E. Ueno1; 1Tokyo/JP, 2Waukesha, WI/US"
A Robust Scalable Model Using Hybrid Approach for the Detection of the Projected Outliers

The abnormal and anomalous observations even in the advanced technological era proves to be the biggest jolt to the concerned industry. To reduce and eliminate the outliers from the massive data streams, it is important to accurately highlight them from the higher dimensional data which is itself very challenging. In this study, a Scalable outlier detection model is proposed which is robust enough to resist and detect the projected outliers that are lying at some lower dimensional subspaces. This model exploits the problem of curse of dimensionality which is very frequent in large data streams and massive datasets. Rapid distance and density based approaches are used and then the probability density is measured by Gaussian Mixture Model. Baye's Probability is applied to the final observations so as confirm them as the projected outliers.
a 1-megabase deletion in 15 q 22-q 23 in an autistic patient : Identification of candidate genes for autism and of homologous dna segments in 15 q 22-q 23 and 15 q 11-q 13

Family, twin, and adoption studies have documented a strong genetic basis for ADHD/HKD, but these studies do not identify specific genes linked to the disorder. Molecular genetic studies can identify allelic variations of specific genes that are functionally associated with ADHD/HKD, and dopamine genes have been the initial candidates based on the site of action of the stimulants drugs, which for a half century have provided the primary pharmacological treatment for ADHD/HKD. Two candidate dopamine genes have been investigated and reported to be associated with ADHD/HKD: the dopamine transporter (DAT1) gene [Cook et al., American Journal of Human Genetics 1995;56:993– 998, Gill et al., Molecular Psychiatry 1997;2:311–313] and the dopamine receptor D4 (DRD4) gene [LaHoste et al., Molecular Psychiatry 1996;1:121–124; Smalley et al., 1998;3:427–430; Swanson et al., Molecular Psychiatry 1998;3:38–41]. Speculative hypotheses [Swanson and Castellanos, NIH Consensus Development Conference: Diagnosis and Treatment of Attention Deficit Hyperactivity Disorder, November 1998. p. 37–42] have suggested that specific alleles of these dopamine genes may alter dopamine transmission in the neural networks implicated in ADHD/HKD (e.g. that the 10-repeat allele of the DAT1 gene may be associated with hyperactive re-uptake of dopamine or that the 7-repeat allele of the DRD4 gene may be associated with a subsensitive postsynaptic receptor). These and other variants of the dopamine hypothesis of ADHD will be discussed. q 2000 Elsevier Science Ltd. All rights reserved.
Effect of Hydraulic Retention Time (HRT) and Organic Loading Rate (OLR) to the Nata de coco Anaerobic Treatment Eficiency and its Wastewater Characteristics

In this study, experiments were conducted to investigate the effect of hydraulic retention time (HRT) and organic loading rate (OLR) on process stability of nata de coco wastewater anaerobic treatment using semi-continuous digester. The standard-rate anaerobic digester with working volume of 8.5 L was used to investigate the effect of three different hydraulic retention times (15, 20, and 25 days), and a standard-rate anaerobic digester with working volume of 9.1 L was operated at different organic loading rates of 0.5, 1, and 1.5 g/L/day. The findings revealed that minimum HRT for nata de coco wastewater anaerobic treatment using semi-continuous digester was achieved at HRT 20 days. Based on data from this study, the reduction of organic content in nata de coco wastewater increased when OLR increased until 1 g/L/day. But then those parameters value decreased when OLR being increased further to 1.5 g/L/day. It showed that at 1.5 g/L/day the amount of substrate fed to the system was exceeding the total degradation capacity of methanogenic microorganisms, hence the organic overload happened and decreased the efficiency of organic content reduction in anaerobic treatment of nata de coco wastewater.
Imperialist competitive algorithm for the flowshop problem

This article presents a new optimization techniques based on Imperialistic Competitive Algorithm to solve the flowshop scheduling problems, which objective is to minimize the makespan. Furthermore, this approach is enhanced by a local search procedure in order to improve the best solutions. To show the efficiency of the proposed methods, we consider many instances of increasing complexity for the flowshop problem. Computational tests are presented and comparisons between the two approaches are made. The analysis of the results suggests that the enhanced approach is capable to find the best solutions of the problem at hand.
The Exploration of Subjective Well-being in the Context of Pakistan

This paper contributes to the literature on the subjective well-being (SWB) by providing empirical evidence regarding the correlates of SWB in the context of Pakistan. Instead of using single measure of life satisfaction or happiness to represent the level of SWB, a composite index with four different aspects; overall life satisfaction, happiness, financial satisfaction and subjective health status is developed for Pakistan using World Value Survey 2012 data. Differences in self-reported evaluation of current well-being are statistically explored through socio-demographic and behavioral characteristics of respondents. The statistical exercise reveals that law and order situation or feeling ofinsecurity in neighborhood is the most significant factor which is impacting SWB with large negative marginal effect.Similarly, variables representing vulnerability to poverty and security are also statistically significant with an inverse relation with SWB. In contrast, the results reveal that religiosity plays a positive and significant role in explaining differences in SWB. Nonetheless, the marginal positive impact of religiosity is much less than the negative impacting factors.
Design , Analysis , andMeasurements of an Antenna Structure for 2 . 4 GHzWireless Applications

This paper reports measured results of a multielement antenna implementation, we constructed, that performs at 2.4 GHz ISM band. Particular emphasis was given to the scattering parameters and validation characterization of this antenna structure. The constructed multielement antenna that was studied in both azimuth and elevation planes consists of a number of printed dipoles with integrated baluns. Due to its multielement construction, the proposed antenna structure is suitable for applications that require multielements nature such as MIMO, channel sounder, and digital beamforming.
Mixed-isotope Bose-Einstein condensates in rubidium

We consider the ground-state properties of mixed Bose-Einstein condensates of {sup 87}Rb and {sup 85}Rb atoms in the isotropic pancake trap for both signs of the interspecies scattering length. In the case of the repulsive interspecies interaction, there are the axially symmetric and symmetry-breaking ground states. The threshold for the symmetry-breaking transition, which is related to appearance of a zero dipole mode, is found numerically. For attractive interspecies interactions, the two condensates assume symmetric ground states for the numbers of atoms up to the collapse instability of the mixture.
Ju l 2 01 7 Unmasking the ultrahigh-energy cosmic ray origin

The sharp change in slope of the ultrahigh-energy cosmic ray spectrum around 109.6 GeV (the ankle), combined with evidence of a light but extragalactic component near and below the ankle which evolves to intermediate/heavy composition above, has proved exceedingly challenging to understand theoretically. Recently, we introduced a very general model in which, for a range of source conditions, photo-disintegration of ultrahigh-energy nuclei in the region surrounding the accelerator naturally accounts for the observed spectrum and composition of the entire extragalactic component, which dominates above about 108.5 GeV. In this communication we review the generalities of the model and show that starburst galaxies provide a compelling source example.
Trans-Pacific Tariff Barriers: a Case Study of Five Asia—Pacific Developing Countries and Canada

Though the Trans Pacific Partnership (TPP) is believed to greatly benefit the developing countries of the Asia—Pacific (AP) region, most of the countries, such as China, are still hesitant to join. The major concern for these countries is whether or not the gains from the free trade provisions of the TPP will provide enough of an advantage given that most of them have already joined the WTO. In this paper, I first apply Feenstra’s (1995) TRI to gauge the actual Canadian tariff barriers facing five Asia—Pacific developing countries: China, Thailand, Malaysia, the Philippines, and Indonesia. The calculation of TRIs enables us to estimate the gains (from retrieving deadweight loss due to tariff distortion) to Canada if it completely removes its tariff barriers from the 2010 level against the five exporting countries. The gains for Canada would reach USD 276.45 million solely from China’s exports, and another USD 33.96 million total from the four other countries. Then, based on the gravity model, I estimate the impact of tariff reduction on imports and the gains, in terms of possible export growth, to the five developing countries. I find China’s exports to Canada may increase by 60.58%. Export growth then would be 68.21% for Indonesia, 39.77% for Malaysia, 69.64% for the Philippines, and 42.62% for Thailand.
Semiparametric Mixtures of Symmetric Distributions

We consider in this paper the semiparametric mixture of two unknown distributions equal up to a location parameter. The model is said to be semiparametric in the sense that the mixed distribution is not supposed to belong to a parametric family. To insure the identifiability of the model, it is assumed that the mixed distribution is zero symmetric, the model being then defined by the mixing proportion, two location parameters and the probability density function of the mixed distribution. We propose a new class of M‐estimators of these parameters based on a Fourier approach and prove that they are n ‐consistent under mild regularity conditions. Their finite sample properties are illustrated by a Monte Carlo study, and a benchmark real dataset is also studied with our method.
Understanding the anisotropy of cosmic rays at TeV and PeV energies

The anisotropy in cosmic-ray arrival directions in the TeV-PeV energy range shows both large and small-scale structures. While the large-scale anisotropy may arise from diffusive propagation of cosmic rays, the origin of the small-scale structures remains unclear. We perform threedimensional Monte-Carlo test-particle simulations, in which the particles propagate in both magnetostatic and electromagnetic turbulence derived from a three-dimensional isotropic power spectrum. However, in contrast to earlier studies, we do not use a backtracking method for the computation of the particle trajectories, and hence anisotropy must build up from a large-scale isotropic boundary condition. It has been recently argued that the turbulent magnetic field itself generates the small-scale structures of the anisotropy if a global cosmic-ray dipole moment is present. We show that small-scale anisotropy arises even for isotropic turbulence models and homogeneous boundary conditions. We emphasize the role of escape in shaping cosmic-ray anisotropy.
Simulation of rainfall-runoff process using HEC-HMS model for Balijore Nala watershed, Odisha, India

Hydrological modeling is a commonly used tool to estimate the basin's hydrological response due to precipitation. In this paper HEC-HMS model is used to simulate rainfall-runoff process in Balijore Nala Watershed of Odisha, India. To compute runoff volume, peak runoff rate, base flow and flow routing methods SCS curve number, SCS unit hydrograph, Exponential recession and Muskingum routing methods are chosen, respectively. Rainfall runoff simulation is conducted using 24 random rainstorm events covering four year (2010 – 2013) data. Out of these, 12 events are selected for model calibration and the remaining 12 for model validation. For calibration of model the statistical tests of error functions like mean absolute relative error (MARE) and root mean square error (RMSE) between the observed and simulated data are conducted. The results indicate values of MARE of 0.20 and 0.25 for runoff depth and peak discharge, respectively. Similarly the values of RMSE between the observed and simulated data are obtained as 2.30 mm and 0.28 m3/s for runoff depth and peak discharge, respectively. However after parameter optimization the above mentioned error functions reduce to 0.10, 0.12, 0.75 mm and 0.09 m3/sec in sequence. The calibrated model with optimized parameter is used for model validation. The model validation was found to be satisfactory with low values of statistical error functions.
Face detection based on conditional random fields

To address the local occlusion and pose variation in face detection, face can be looked on as a whole composed of several parts from up to down. First, the face is divided into a number of local regions from which various features are extracted. Each region is identified by a local classifier and is assigned a preliminary part label. A random field is established based on these labels and multiple dependencies between different parts are modeled in a CRF framework. The probability that the test image may be a face is calculated by a trained CRF model. The probability is used as a measure to test the existence of a face. The experiments were carried out on the CMU/MIT dataset. As indicated by the experiment results, the following methods can improve the detection rate and enhance the robustness of face detection in case of occlusion: 1) integrating multiple features and multiple dependencies in CRF framework; 2) dividing the face optimally.
Stochastic processes and insect outbreak systems: application to olive fruit fly.

The aim of the present work is to bring together new tools and developments in physics and computer science with new aspects in applied entomology. Our work elaborates on well known studies on applied entomology in population insect dynamics. A spatial evolution equation for olive fly population is proposed in order to describe more accurately outbreaks of insect populations by incorporating random movement or dispersion of the population. It turns out that dispersion causes both acceleration of population growth and shift of the high stable population equilibrium to even higher values thus producing population outbreak. Simulation results are also presented confirming theoretically predicted behavior of outbreaks in earlier times.
Leverage in Inequality‐constrained Regression Models

Summary. We derive leverage measures in inequality-constrained linear regression models. When the restricted and unrestricted least squares estimates agree, the usual leverage measure h ii from the unrestricted linear regression is also extended to the restricted case. However, under violation, h ii is decomposed into two new leverage measures which take account of the influence of the observations on their restricted fitted values and on the change in the difference between the restricted and unrestricted fitted values. The last measure may be helpful to assess observations which are discordant with the prior belief for the parameters. We discuss extensions to generalized linear models, and two illustrative examples are given.
EXCHANGE OF GOOD EDUCATIOANAL PRACTICES IN THE PEDAGOGICAL TRAINING ACTIVITIES

The article presents a research, whose goal is the design, implementation and improvement of a model for exchange of good educational practices. It is based on constructivist methodology, models of active teaching and learning and principles, strategies and techniques of Adlerian psychology. The model is implemented in the training activities of the Department for Information and In-service Teacher Training (DIITT), Trakia University - Stara Zagora, during the 2005 – 2010 period. The used research methods are - experiment, observation, discussion with specific reflexive procedures, questionnaire. The developed model for the exchange of good practices provides opportunities for professional and personal development to participants, construction of educational strategies, developing a personal action plan in relation to their own personal and professional career development.
EFFECT OF AQUEOUS EXTRACT OF TRIGONELLA FOENUM-GRAECUM ON PAIN AND INFLAMMATION INDUCED BY FORMALIN IN MALE MICE

Background: Studies have emphasized the effect of Trigonella foenum-graecum extract on the reduction of pain and inflammation. Objective: In this research we investigated the mechanisms of Trigonella foenum-graecum extract in reducing pain and inflammation induced by formalin. Methods: Male Albino mice (weight 20 - 25 g) were evaluated through the injection of 2 microliters of formalin to the plantar part of right foot. Following this, the rate of animal foot pain and inflammation were measured using Dubbison-Dennis and immersion in mercury. Trigonella foenum-graecum extract was injected 30 minutes before administration of formalin to the animals intraperitoneally. In addition, blood samples were taken from animals and corticosterone concentrations were measured. In an in vitro study the effect of extract on the activity of cyclooxygenase type 1 and 2 was assessed. Results: Our results showed that Trigonella foenum-graecum extract inhibits the first and second phase of pain induced by formalin, while inflammation is slightly reduced. Also the effect of Trigonella foenum-graecum extract is reversible with naloxone or memantine administration. Also Trigonella foenum-graecum extract could not increase plasma corticosterone level and was ineffective in activity of cyclooxygenase type 1 and 2 enzyme. Conclusion: Although Trigonella foenum-graecum extract can inhibit pain induced by formalin administration, but it seems that the reduction of pain is due to the possible interaction of components of Trigonella foenum-graecum extract with opioid and/or glutamate systems which occurs in the body and the mechanisms of inflammation reduction are not activated by the extract.