Miracle-dz/UniFAR-FTUs huggingface dataset:
An eddy-viscosity subgrid-scale model for turbulent shear flow : Algebraic theory and applications

An eddy-viscosity model is proposed and applied in large-eddy simulation of turbulent shear flows with quite satisfactory results. The model is essentially not more complicated than the Smagorinsky model, but is constructed in such a way that its dissipation is relatively small in transitional and near-wall regions. The model is expressed in first-order derivatives, does not involve explicit filtering, averaging, or clipping procedures, and is rotationally invariant for isotropic filter widths. Because of these highly desirable properties the model seems to be well suited for engineering applications. In order to provide a foundation of the model, an algebraic framework for general three-dimensional flows is introduced. Within this framework several types of flows are proven to have zero energy transfer to subgrid scales. The eddy viscosity is zero in the same cases; the theoretical subgrid dissipation and the eddy viscosity have the same algebraic structure. In addition, the model is based on a fundamental realizability inequality for the theoretical subgrid dissipation. Results are shown for a transitional and turbulent mixing layer at high Reynolds number and a turbulent channel flow. In both cases the present model is found to be more accurate than the Smagorinsky model and as good as the standard dynamic model. Unlike the Smagorinsky model, the present model is able to adequately handle not only turbulent but also transitional flow. © 2004 American Institute of Physics . [DOI: 10.1063/1.1785131 ]
An efficient attribute-based signature scheme with claim-predicate mechanism

Attribute-Based Signature ABS is a promising cryptographic primitive that allows a signer to sign a message under a signing policy to convince the verifier that the signer holds a subset of attributes satisfying the signing predicate. A successful execution of ABS should leak no information about the identity of the signer or the attributes he possesses, other than the fact these attributes that the underlying signer possesses satisfy the given signing predicate. ABS has a lot of applications in real scenarios requiring both authentication and privacy properties, such as anonymous authentication and attribute-based messaging systems. In this paper, we present a new construction of ABS with claim-predicate mechanism based on Bethencourt et al.'s ciphertext-policy attribute-based encryption scheme. The proposed construction is proved to be existentially unforgeable in the random oracle model for the selective adversary and can achieve perfect privacy. Compared with existing schemes, the new construction provides better efficiency in terms of both the computational cost and signature size.
Semi-global nonlinear output regulation with adaptive internal model

We address the problem of output regulation for nonlinear systems driven by a linear, neutrally stable exosystem whose frequencies are not known a priori. We present a classical solution in terms of the parallel connection of a robust stabilizer and an internal model, where the latter is adaptively tuned to the device that reproduces the steady-state control necessary to maintain the output-zeroing condition. We obtain robust regulation (i.e. in presence of parameter uncertainties) with a semi-global domain of convergence for a significant class of nonlinear minimum-phase system.
Assessment of Seismic Behavior of 3 D Asymmetric Steel Buildings Retrofitted with TADAS Device Based on Incremental Dynamic Analysis ( IDA )

Control of structure response versus ground motion is one of important issues in earthquake engineering. Various solutions and devices have been innovated for this purpose so far. One of these devices is metallic yielding dampers. In this article, triangular shaped yielding dampers, well-known as TADAS, have been considered. For further discussion, this damper is installed on a steel structure that has been modeled as 3D and then is subjected to 40 strong ground motions. For structure analysis, OPENSEES program is used. Through analyzing the obtained results, IDA surfaces are generated. Then advantages and disadvantages of using these dampers will be introduced. Finally, a pattern for improvement of system performance has been proposed.
Reducing sexist attitudes as a result of completing an undergraduate psychology of gender course.

An investigation was conducted on the impact of a Psychology of Gender course on reducing sexist attitudes. Undergraduate students enrolled in either Psychology of Gender (n = 27) or Introduction to Psychology (n = 28) completed questionnaires measuring sexism. Results showed that students enrolled in Psychology of Gender, unlike students enrolled in Introduction to Psychology, reported a significant reduction in sexism scores by the end of the course. These findings support the use of content-specific courses in reducing prejudicial attitudes. This is consistent with previous research.
RELEVANCE USING TECHNIQUES FROM INFORMATION THEORY FIELD

Recent years have seen an explosive growth of the volume of text data and the needs of finding relevant information directed research in exploring different approach methods. In this paper we are presenting a work* on finding indicators for text relevance using the estimation of statistical language models. For evaluation there are applied measures from information theory field like entropy/perplexity and the experiments are running on a standard data from WSJ (Wall Street Journal) corpus. The steps folloved in experiments are described in their execution order and at the end, the focus is on the interpretation of the results. Far from pretending that our results are the best, it can be easy observed that they are iportant indicators for text content relevance. Even if this study started from speech recognition perspective, its results can be used as well by many other research fields like that of information retrieval, machine translation, optical character recognition, spelling correction, document classification.
Simulation and Design of an Oven for PET Blow Molding Machines

This paper presents the study and design of a new generation oven for PET blowmolding machines. The design faced several technical challenges such as: the temperature distribution in the critical areas, the sharp curvature radius, the high PET thermal inertia and the presence of boundary elements, which affected the overall performances. In fact the study started with a state of the art evaluation that was useful to align the COMSOL model with the industrial practice giving the possibility to improve the design. The work included an analysis of the preform material and geometry influence on the heating and transformation process, followed by the definition of the model to implement in the simulation. Finally a series of simulations aimed to simulate the infra red heating system and the convective cooling system, necessary to control the heating process, achieving the ideal temperature distribution, more efficiency, energy saving and higher modularity with respect to the state of the art.
SEROPREVALENCE OF RUBELLA , CYTOMEGALOVIRUS , HERPES , AND TOXOPLASMA GONDII IN RECURRENT ABORTED WOMEN IN BAGHDAD

Recurrent Abortion (RA) in the general populations is common occurrence and often changes among different communities. This study was to determination the prevalence of Rubella, Cytomegalovirus, herpes, and Toxoplasma Gondii in Baghdad. Blood samples were collected from 210 women, 180 women with recurrent abortion (three or more abortions) in the first trimester and 30 women with a healthy pregnancy. Based on the clinical examination, and diagnostic laboratory findings of the rapid lateral immune chromatography assay (RLICA), and Enzyme-linked Immunosorbent assay (ELISA) test for TORCH examination measured serum levels of immunoglobulin (IgM and IgG) for Toxoplasmosis, cytomegalovirus, herpes, and rubella in aborted women. Depending on the result of ELISA test the patients were included women with recurrent abortion with sero-negative for TORCH test was 50 (27.8%), women with recurrent aborted with sero-positive for antitoxoplasma antibodies was 44 (24.5%), women with recurrent abortions suffering from infected with different causes such as cytomegalovirus, Rubella or Herpes ratio were 86 (47.7%) and women with a healthy pregnancy (normal third delivery or more and with no previously recognized miscarriage) was 30 (14.3%). Also the results pointed out that the seropositivity rate for CMV IgG, T. gondii IgG, Rubella IgG, and HSV IgG were higher in recurrent aborted women compared with CMV IgM, T. gondii IgM, Rubella IgM, and HSV IgM also in recurrent aborted women with highly significant difference (P<0.05). The results indicated that the efficacy of ELISA test was higher than rapid test in detecting of TORCH infections. Aim of this Study: Determination the prevalence of Rubella, Cytomegalovirus, herpes, and Toxoplasma Gondii gondii in Baghdad and to detect the efficacy of ELISA test in detecting of
The Effectiveness of Government Expenditures During Financial Crisis : Evidence from Regional Government Spending in Japan 1990-2000 by

We use a rich dataset of regional government expenditures for Japan during the 1990-2000 period to estimate from within-prefecture variation the multiplier of government investment and government consumption expenditures. Our main finding is that government spending did not have multipliers effects that are on average larger than one. Government investment had a positive and significant effect on output that was quantitatively larger than the effect of government consumption expenditures. Government personnel expenditures and transfers to households had significant negative output effects while transfers to firms produced positive multiplier effects that were significantly larger than one. Our findings are consistent with macro model that emphasize the supplyside effects of fiscal policy during times of financial crisis.
Gradient Effects of Animacy on Differential Object Marking in Turkish

Abstract Animacy is a pervasive cognitive category that is displayed in the grammatical behavior of the world’s languages through categorical or gradient effects. We argue in this paper that animacy is a crucial parameter for Differential Object Marking (i.e., the optional marking of the direct object) in Turkish. DOM languages are typically categorized according to their dependency on definiteness and animacy. Turkish has thus far been assumed to depend only on definiteness; however, we present the first set of empirical evidence based on perceived acceptability judgment measures that show a significant effect of animacy on Turkish DOM. Moreover, we show the gradient nature of this effect. This original finding provides further evidence for the assertion that animacy is a crucial linguistic parameter in Turkish DOM and illustrates how the conceptual category of animacy is deeply entrenched in the grammar of Turkish.
Optimum Distribution of Slip Load of Friction Dampers Using Multi-Objective Genetic Algorithm

This paper deals with the optimization of slip load of friction dampers using fast and elitist non-dom inated Genetic Algorithm (NSGAΙΙ) in order to mitigate structure responses. Due to this, two 2-dimensional 5-storey and 10-storey shear frames are considered and the e quations of motion of frames for both friction-damp ed and blank frame are solved using Newmark’s method in MA TL B software. Then the slip load value of friction damper is determined in 2 cases: in the first one, th optimum slip load of each friction damper is co mputed using NSGAΙΙ according to simultaneous minimization of three ob jective functions related to frame responses. After that in second case the total slip load of fr iction dampers from the first case is distributed a mong dampers, uniformly. The frames responses are evaluated in th ese 2 cases and compared with the ones of uncontrol led frames. The results show that optimum distribution of slip load of friction dampers improves the perfo rmance of dampers in seismic response.
Graded Exercise for Recurrent Low-Back Pain: A Randomized, Controlled Trial With 6-, 12-, and 36-Month Follow-ups

Study Design. The study was a randomized controlled trial. Treatment was for 8 weeks, with follow-up posttreatment and at 6-, 12-, and 36- months. Objective. The purpose was to evaluate the effect of a graded exercise intervention emphasizing stabilizing exercises in patients with nonspecific, recurrent low back pain (LBP). Summary of Background Data. Exercise therapy is recommended and widely used as treatment for LBP. Although stabilizing exercises are reportedly effective in the management of certain subgroups of LBP, such intervention protocols have not yet been evaluated in relation to a more general exercise regimen in patients with recurrent LBP, all at work. Methods. Seventy-one patients recruited consecutively (36 men, 35 women) with recurrent nonspecific LBP seeking care at an outpatient physiotherapy clinic were randomized into 2 treatment groups; graded exercise intervention or daily walks. The primary outcome was perceived disability and pain at 12-month follow-up. Secondary outcomes included physical health, fear-avoidance, and self-efficacy beliefs. Results. Of the participants, 83% provided data at the 12-month follow-up and 79% at 36 months. At 12 months, between-group comparison showed a reduction in perceived disability in favor of the exercise group, whereas such an effect for pain emerged only immediately postintervention. Ratings of physical health and self-efficacy beliefs also improved in the exercise group over the long term, though no changes were observed for fear-avoidance beliefs. Conclusion. A graded exercise intervention, emphasizing stabilizing exercises, for patients with recurrent LBP still at work seems more effective in improving disability and health parameters than daily walks do. However, no such positive results emerged for improvement regarding pain over a longer term, or for fear-avoidance beliefs.
A Web-Based Quadratic Bimatrix Game Optimization Model and Algorithms of Polynomial Complexity

Web-based game optimization models are convenient examples for scientific cooperation and graduate studies of both the theory of games and the theory of optimization. This can be achieved by on-line investigation and modification of the game optimization models. The aim of this paper is a polynomial time algorithm for a subset of quadratic bimatrix games where the Nash equilibrium exists in strictly mixed strategies. Strictly mixed means no pure strategies. This is a natural extension of the well known polynomial time direct search algorithm if the Nash equilibrium exists in pure strategies. For search of Nash equilibrium in partly mixed strategies the heuristic algorithm of Quadratic Strategy Elimination is described. This algorithm is of polynomial time, too, and includes automatic testing thus just correct solutions are accepted. The software as Java applet is integrated into the web-based system for scientific cooperation and graduate studies of optimization and theory of games. This helps readers to use their creative abilities by improving the presented software and by adapting it to their own needs and tastes.
Assessing the validity of blending charts for rejuvenated reclaimed asphalt pavements 1 ( RAP ) binders 2

10 Rejuvenators are becoming more common in mixtures containing reclaimed asphalt 11 pavement (RAP). Rejuvenators are added to RAP binders to reduce their stiffness and improve 12 their low temperature properties thus higher content RAP mixtures are possible. For RAP 13 mixtures utilizing more than 25% RAP, blending charts are often used to determine the 14 proportions of the virgin and RAP binders based on their respective performance grades. 15 Introducing rejuvenators into the blend changes the overall physical properties of the blend, 16 hence the need to assess the validity of blending charts when rejuvenators are present. In this 17 paper, the rheological properties of a soybean-derived rejuvenator are studied using a rotational 18 viscometer. Asphalt blends made with an extracted RAP, a virgin PG58-28S, and a soybean19 derived rejuvenator are prepared using different proportions. The performance grades of the 20 extracted RAP and the resulting rejuvenated RAP blends are determined and the impact of the 21 rejuvenator’s viscosity on the viscosity of the blend is studied. Mixing rules to predict viscosity 22 are assessed to determine their validity for binders and blends containing rejuvenators. 23
Moderating Effects of Big Five Personality between Self Efficacy and Career Choice among College Students Ms

The moderation effects were studied in present research which comprised of variables: big five personality (Neuroticism, Extraversion, Agreeableness, Openness to Experience and Conscientiousness) and self efficacy on Commitment to Career Choice (Vocational Exploration and Tendency to Foreclose). The sample (N=400) comprised of BA third year college students (natural science and social science) of Jamia Millia Islamia, New Delhi. Following tools were used: NEO PI short form, Career decision making Self Efficacy Scale and Commitment to Career Choice Scale. Moderation was carried out as per Hayes process 2.0 model 1. The study yielded following results. Neuroticism and Conscientiousness significantly moderated the relationship between Career decision making Self-Efficacy and Career Choice. Openness to Experience significantly moderated the relationship between career decision making self efficacy and Tendency to Foreclose. Whereas, Extraversion and Agreeableness were found to be non significant moderators of the relationship between Career decision making Self Efficacy and Career Choice (Vocational Exploration and Tendency to Foreclose). However, this study makes a positive contribution to research and enhances awareness about how Big five personality as a moderator between the relationship of career decision making self-efficacy beliefs and Commitment to Career Choice (Vocational Exploration and Tendency to foreclose). Therefore, throwing light on how active one is in seeking a career, therefore increasing chances for achieving commitment to career choice.
Demonstration of Multipulsed Current Drive Scenario using Coaxial Helicity Injection in the HIST Spherical Torus Plasmas

The Helicity Injected Spherical Torus (HIST) device has been developed towards high-current start up and sustainment by Mutipulsed Coaxial Helicity Injection (M-CHI) method. Multiple pulses operation of the coaxial plasma gun can build the magnetic field of spherical torus (ST) and spheromak plasmas in a stepwise manner. Successive double gun pulses have been demonstrated to amplify the magnetic field and the plasma current against resistive decay. The resistive 3D-MHD numerical simulation has reproduced the current amplification by the M-CHI method and confirmed that stochastic magnetic field is reduced so that closed flux surfaces are repeatedly created during the resistive decay process. These experimental and computational results from STs have provided, for the first time, availability of a quasi-steady-state “refluxing” mode in which the magnetic field is allowed to decay partially before being rebuilt. Our goal is to achieve simultaneously the good energy confinement and the current sustainment by the M-CHI method.
Codified Hashtags for Weather Warning on Twitter: an Italian Case Study

Introduction: During emergencies increasing numbers of messages are shared through social media platforms becoming a primary source of information for lay people and emergency managers. For Twitter codified hashtagging is emerging as a practical way to coordinate messages during emergencies and quickly identify relevant information. This paper considers a case study on the use of codified hashtags concerning weather warning in Italy in three different regions. Methods: From November 3rd to December 2nd 2014, tweets identified by the 3 codified hashtags #allertameteoTOS, #allertameteoLIG and #allertameteoPIE were retrieved, collecting a total of 35,558 tweets published by 7361 unique tweets authors, with the aim to assess if codified hashtags could represent an effective way to align formal and informal sources of information during weather related emergencies. An auxiliary R-package was built to lead the analytics used in this study. Authors performed a manual coding of users, hashtags and content of messages of all Twitter data considered. Results: Content analysis showed that tweets were overwhelmingly related to situational updates, with a high percentage containing geo-location information. Communication patterns of different user types were discussed for the three contexts. In accordance with previous studies, individuals showed an active participation primarily functioning as information hub during the emergency. Discussion: In the proposed cases codified hashtags have proven to be an effective tool to convey useful information on Twitter by formal and informal sources. Where institutions supported the use of the predefined hashtag in communication activities, like in Tuscany, messages were very focused, with more than 90% of tweets being situational updates. In this perspective, use of codified hashtags may potentially improve the performance of systems for automatic information retrieval and processing during disasters. Keywords: social media, emergency management, Twitter, severe weather
Determination of cypromazine and its metabolite melamine in milk by cation-selective exhaustive injection and sweeping-capillary micellar electrokinetic chromatography.

In this study, we described a high-sensitive on-line preconcentration method for cypromazine (CYP) and melamine (MEL) analysis using cation-selective exhaustive injection (CSEI) combined with sweeping-MEKC. The optimum conditions of on-line concentration and separation were discussed. The BGE contained 100 mM SDS, 50 mM phosphoric acid (pH=2.0) and 15% acetonitrile (v/v). The sample was injected at 10 kV for 600 s, separated at -20 kV, and detected at 210 nm. The sensitivity enhancements were 6222 for CYP and 9179 for MEL. The linear dynamic ranges were 0.4-25 ng/mL for CYP (r=0.9995) and 0.2-12 ng/mL for MEL (r=0.9991). The LODs (signal-to-noise ratio, 3) were 43.7 and 23.4 pg/mL for CYP and MEL, respectively. The proposed method was applied to analyze CYP and MEL in dairy products pretreated using off-line SPE to minimize the influence of the matrix. The recoveries of CYP and MEL were satisfactory (ca. 74-83%). The experimental results suggest that the CSEI-sweeping-MEKC method is feasible for the application to simultaneously detect trace levels of CYP and its metabolite MEL in real milk samples.
Review of Mathematical frameworks for Fairness in Machine Learning

A review of the main fairness definitions and fair learning methodologies proposed in the literature over the last years is presented from a mathematical point of view. Following our independence-based approach, we consider how to build fair algorithms and the consequences on the degradation of their performance compared to the possibly unfair case. This corresponds to the price for fairness given by the criteria $\textit{statistical parity}$ or $\textit{equality of odds}$. Novel results giving the expressions of the optimal fair classifier and the optimal fair predictor (under a linear regression gaussian model) in the sense of $\textit{equality of odds}$ are presented.