Miracle-dz/UniFAR-FTUs huggingface dataset:
Computer Assisted Automatization of Multiplication Facts Reduces Mathematics Anxiety in Elementary School Children

Fourth grade elementary school children exhibiting high and low mathematics anxiety were trained on multiplication facts using the Math Builder Program, a computer program designed to bring their performance to the automaticity level. Mathematics anxiety, measured by the Mathematics Anxiety Rating Scale--Elementary version (MARS-E), was assessed before and after the students demonstrated automaticity level performance on the multiplication facts. Results showed that all of the students automatized the multiplication facts using computer training. Students in the high anxiety group averaged the greatest improvement in performance and were indistinguishable from the low anxiety group by the end of the automaticity training. The high anxiety girls, but not the high anxiety boys, significantly reduced their mathematics anxiety ratings. No significant change in mean anxiety ratings were detected for students in either of the low anxiety or the control groups. Results indicate that both high and low anxiety boys and girls achieved automaticity level performance of multiplication facts using computer assisted training, and training of multiplication facts to the automaticity level resulted in significant reductions of mathematics anxiety ratings. Results support the position that mathematics anxiety may result from a failure to learn or inadequate preparation in the mastery of fundamental skills. Implications of these findings for mathematics instruction and curricula development are discussed. (Contains 32 references.) (Author/AEF) ******************************************************************************** Reproductions supplied by EDRS are the best that can be made from the original document. ********************************************************************************
1 2 N ov 2 01 2 Dynamical evaporation of quantum horizons

We describe the black hole evaporation process driven by the dynamical evolution of the quantum gravitational degrees of freedom resident at the horizon, as identified by the Loop Quantum Gravity kinematics. Using a parallel with the Brownian motion, we interpret the first law of quantum dynamical horizon in terms of a fluctuation-dissipation relation applied to this fundamental discrete structure. In this way, the horizon evolution is described in terms of relaxation to an equilibrium state balanced by the excitation of Planck scale constituents of the horizon. We investigate the final stage of the evaporation process and show how, from this setting, the emergence of several conservative scenarios for the information paradox can be microscopically derived. Namely, the leakage of part of the horizon quantum geometry information prior to the Planckian phase and the stabilization of the hole surface shrinkage forming a massive remnant, which can eventually decay, are described.
A Review of Literature Relevant to the Experiences of Irish Parents in the Mediation of their Children's use of Internet Connected Devices

This review sets out to explore the relatively new and unique parental experience of mediating children’s use of Internet connected devices (ICDs) in Ireland. A coherent understanding of the core concepts that emerged from the literature is presented in a way that connects broad theoretical concepts to specific contexts. An overview of parental experience and the relationship between parental experience and the theoretical aspects of psychology, counselling and psychotherapy is presented. ICDs are briefly explained and a working definition is established for the purpose of this review. The literature on parental mediation of children’s use of ICDs is explored and segmented into risks and benefits. Literature on parental strategies for mediation of children’s use of ICDs is reviewed. The relationship between trust, parenting styles and the concept of child self-regulation is explored. Literature is reviewed to place an Irish context on the parental experience in the mediation of ICDs. The review concludes with a discussion and summary conclusions based on the literature reviewed that creates a chain of evidence in support of additional research.
Software development for identifying Persian text similarity

The vast span of nouns, words and verbs in Persian language and the availability of information in all fields in the form of paper, book and internet arises the need of a system to compare texts and evaluate their similarities. In this paper a system has been presented for comparing the text and determining the degree of Persian (Farsi) text similarities. This system uses TF-IDF method to give weight to sentences. Moreover, the roots of the nouns have been found and identical score has been given to synonyms and word families. The results gained from implementation indicate that the proposed system has a desired efficiency in comparing short texts.
Clinical Study n-3 Polyunsaturated Fatty Acid Supplementation Has No Effect on Postprandial Triglyceride-Rich Lipoprotein Kinetics in Men with Type 2 Diabetes

Dietary n-3 polyunsaturated fatty acids (PUFAs) have been proposed to modulate plasma lipids, lipoprotein metabolism, and inflammatory state and to reduce triglyceride (TG) concentrations. The present double-blind, randomized, placebo-controlled, crossover study investigated the effects of n-3 PUFA supplementation at 3 g/d for 8 weeks on the intravascular kinetics of intestinally derived apolipoprotein (apo) B-48-containing lipoproteins in 10menwith type 2 diabetes. In vivo kinetics of the TG-rich lipoprotein (TRL) apoB-48 and VLDL apoB-100 were assessed using a primed-constant infusion of L-[5,5,5-D 3 ] leucine for 12 hours in a fed state. Compared with the placebo, n-3 PUFA supplementation significantly reduced fasting TG concentrations by −9.7% (P = 0.05) but also significantly increased plasma levels of cholesterol (C) (+6.0%, P = 0.05), LDL-C (+12.2%, P = 0.04), and HDL-C (+8.4, P = 0.007). n-3 PUFA supplementation had no significant impact on postprandial TRL apoB-48 and VLDL apoB-100 levels or on the production or catabolic rates of these lipoproteins. These data indicate that 8-week supplementation with n-3 PUFAs in men with type 2 diabetes has no beneficial effect on TRL apoB-48 and VLDL apoB-100 levels or kinetics.
Title Lifetime and strength of periodic bond clusters between elasticmedia under inclined loading

Focal adhesions are clusters of specific receptor-ligand bonds that link an animal cell to an extracellular matrix. To understand the mechanical responses of focal adhesions, here we develop a stochastic-elasticity model of a periodic array of adhesion clusters between two dissimilar elastic media subjected to an inclined tensile stress, in which stochastic descriptions of molecular bonds and elastic descriptions of interfacial traction are unified in a single modeling framework. We first establish a fundamental scaling law of interfacial traction distribution and derive a stress concentration index that governs the transition between uniform and cracklike singular distributions of the interfacial traction within molecular bonds. Guided by this scaling law, we then perform Monte Carlo simulations to investigate the effects of cluster size, cell/extracellular matrix modulus, and loading direction on lifetime and strength of the adhesion clusters. The results show that intermediate adhesion size, stiff substrate, cytoskeleton stiffening, and low-angle pulling are factors that contribute to the stability of focal adhesions. The predictions of our model provide feasible explanations for a wide range of experimental observations and suggest possible mechanisms by which cells can modulate adhesion and deadhesion via cytoskeletal contractile machinery and sense mechanical properties of their surroundings.
Validation of empirical and semi-analytical remote sensing algorithms for estimating absorption by Coloured Dissolved Organic Matter in the Baltic Sea from SeaWiFS and MODIS imagery

An extensive bio-optical data set obtained from field measurements was used to evaluate the performance of an empirical (Kowalczuk et al. 2005) and two semianalytical algorithms: Carder et al. (1999) and GSM01 (Maritorena et al. 2002) for estimating CDOM absorption in the Baltic Sea. The data set includes coincident measurements of radiometric quantities and absorption coefficients of CDOM made * This paper was presented at the Remote Sensing and Water Optics Workshop of the 7th Baltic Sea Science Congress, August 2009, Tallinn, Estonia. This study was funded by Statutory Research Programme No. II.5 at the Institute of Oceanology, Polish Academy of Sciences, Sopot, Poland and by research grant No. N N306 2942 33 awarded to PK by the Polish Ministry of Science and Higher Education. The complete text of the paper is available at http://www.iopan. gda.pl/oceanologia/ 172 P. Kowalczuk, M. Darecki, M. Zabłocka, I. Górecka during 43 cruises between 2000 and 2008. In the first stage of the analysis, the accuracy of the empirical algorithm by Kowalczuk et al. (2005) was assessed using in situ measurements of remote sensing reflectance. Validation results improved when matching points located in Gulf of Gdańsk close to the Vistula River mouth were eliminated from the data set. The calculated errors in the estimation of aCDOM(400) in the first phase of the analysis were Bias = −0.02, RMSE = 0.46 and R = 0.70. In the second stage, the empirical algorithm was tested on satellite data from SeaWiFS and MODIS imagery. The satellite data were corrected atmospherically with the MUMM algorithm designed for turbid coastal and inland waters and implemented in the SeaDAS software. The results of the best case scenario for estimating the CDOM absorption coefficient aCDOM(400), based on SeaWiFS data, were Bias = −0.02, RMSE = 0.23 and R = 0.40. The validation of the Kowalczuk et al. (2005) empirical algorithm applied to MODIS data led to a less accurate estimate of aCDOM(400): Bias = −0.03, RMSE = 0.19 and R = 0.29. This assessment of the accuracy of standard semi-analytical algorithms available in the SeaWiFS and MODIS imagery processing software revealed that both algorithms (GSM 01 and Carder) underestimate CDOM absorption in the Baltic Sea with mean systematic and random errors in excess of 70%. The paper presents examples of the application of the Kowalczuk et al. (2005) empirical algorithm for producing maps of the seasonal distribution of aCDOM(400) in the Baltic Sea between 2004 and 2008.
USE OF MAXIMAL RUNNING DISTANCE PERFORMED ON HOFF TEST FOR ANAEROBIC THRESHOLD PREDICTION IN SOCCER

Mailing address: Departamento de Educação Física, Universidade Estadual Paulista (UNESP) – Bauru, SP, Brasil. Av. Luiz Edmundo Carrijo Coube, 14-01, Vargem Limpa. 17033-360 – Bauru, SP, Brasil. azagatto@fc.unesp. br ABSTRACT Objective: The purpose of the study was to verify the use of maximal running distance performed on Hoff test to predict anaerobic threshold speed (sAnT). Methods: Ten young soccer players (age of 17 ± 1 years and body mass of 64.3 ± 2.1 kg) were subjects of the study. The subjects performed 12-min test, lactate minimum test to estimate anaerobic threshold speed and a field test called Hoff. The purpose of Hoff test was to cover the maximum distance during a period of 10min moving a soccer ball through the track by dribbling. Results: The distance covered during 12-min was 2673.2 ± 64.7 m, the sAnT was 11.6 ± 0.3 km.h-1 and distance covered during test Hoff test was 1458.7 ± 49.6 m. The distance covered during Hoff test was not significantly correlated with sAnT (r = –0.20; P > 0.05) and distance covered during 12-min test (r = –0.15; P > 0.05). The sAnT did not differ of speed correspondent 90% at 12-min speed and they were statistically correlated (r = 0.65). Conclusion: Thus, we concluded that maximal distance covered during Hoff test cannot provides a valid prediction of the anaerobic threshold speed.
A Dynamic Model of Synthetic Resting-State Brain Hemodynamics

Near infrared spectroscopy (NIRS) is an emerging field of brain study. From an engineering perspective, the absence of a ground truth signal or a model for producing synthetic data has hindered understanding of the underlying elements of this signal and validating of existing algorithms. In this paper, a dynamic model of artificial NIRS signal is proposed. The model incorporates arterial pulsations, its possible frequency drifts, Mayer waves, respiratory waves and other very low frequency components. Parameter selection and model fitting has been carried out using measurements from a NIRS database. To be general in the process of parameter selection, our dataset included 4 NIRS devices and 256 channels for each subject, covering all the scalp and therefore providing realistic measures of the varying parameters. Results are compared with the real data in time and frequency domains, both showing high level of resemblance.
On Improving Operational Planning and Control in Public Transportation Networks using Streaming Data: A Machine Learning Approach

Nowadays, transportation vehicles are equipped with intelligent sensors. Together, they form collaborative networks that broadcast real-time data about mobility patterns in urban areas. Online intelligent transportation systems for taxi dispatching, time-saving route finding or automatic vehicle location are already exploring such information in the taxi/buses transport industries. In this PhD spotlight paper, the authors present two ML applications focused on improving the operation of Public Transportation (PT) systems: 1) Bus Bunching (BB) Online Detection and 2) Taxi-Passenger Demand Prediction. By doing so, we intend to give a brief overview of the type of approaches applicable to these type of problems. Our frameworks are straightforward. By employing online learning frameworks we are able to use both historical and real-time data to update the inference models. The results are promising.
Impact of the Residual Resistivity Ratio on the Stability of Nb 3 Sn Magnets

The CERN Large Hadron Collider (LHC) is envisioned to be upgraded in 2020 to increase the luminosity of the machine. The major upgrade will consist in replacing the NbTi quadrupole magnets of the interaction regions with larger aperture magnets. The Nb3Sn technology is the preferred option for this upgrade. The critical current density Jc of Nb3Sn strands have reached sufficiently high values (in excess of 3000 A/mm at 12 T and 4.2 K) allowing larger aperture/stronger field magnets. Nevertheless, such large Jc values may cause magneto-thermal instabilities that can drastically reduce the conductor performance by quenching the superconductor prematurely. In Nb3Sn magnets, a relevant parameter for preventing premature quenches induced by magneto-thermal instabilities is the Residual Resistivity Ratio (RRR) of the conductor stabilizing copper. An experimental and theoretical study was carried out to investigate how much the value of the RRR affects the magnet stability and to identify the proper conductor specifications. In this paper the main results are presented and discussed.
IoT Based, Inexpensive System for Large Scale, Wireless, Remote Temperature Monitoring of Photovoltaic Modules

Large amount of high quality module temperature data in various end use environments is necessary for data-driven development of accelerated tests and standards for modules in hot climates such as IEC 63126. An Internet of Things (IoT) based, inexpensive system for large scale, wireless, remote monitoring of PV module temperature/hotspots is described in this paper. The system employs a battery-free design and is capable of handling operating temperatures as high as 100°C, thus making it capable to record temperature data even of modules deployed in rooftop systems in hot climates. The inexpensive nature of this system and ease of retrofitting in existing PV systems would make it possible to generate large amount of module temperature datasets in various end use environments in near future.
Conflict Diffusion: Ethnic Kin as a Transmitter of Internal Conflict ∗

Is intrastate ethnic conflict contagious; that is, can ethnic conflict in one country increase the likelihood of the onset of ethnic conflict in a nearby country? This diffusion aspect of ethnic con-flict has not been examined systematically in previous studies. The paper considers the role of ethnic kinship as a conflict transmitter. Using a strategic interaction perspective, it is argued that ethnic conflict in one state, in combination with ethnic kin between states, may generate uncer-tainty in one or more neighboring states. Under certain conditions this uncertainty and fear about the future may compel actors in one or more neighboring countries to use violence. For instance, a conflict involving an ethnic group in one state may inspire kin groups in neighboring countries to reevaluate the stability of their own arrangements and challenge the existing power balance. Thus, it is hypothesized that ethnic conflict in one state, in interaction with the existence of shared ethnic kin between two states, increases the likelihood of ethnic conflict erupting in the second state. This hypothesis is assessed using a new global dataset of directed dyads of all neighboring countries in the time-span 1989-2002. The data is analyzed using logistic regression and the findings lend preliminary support for the hypothesis.
Geo-enhanced routing in DHT with WebRTC - Using WebRTC to build geographically aware Distributed Hash Table between browsers.

Peer-to-peer systems have earlier made it possible to do more with the networks available than the typical server-client architecture allows. In the last few years, websites have developed from very static pages to complex dynamic applications. The web continues to evolve and WebRTC introduces peer-topeer communication to the browser and the web applications we run in these browsers. The web applications can utilize this technology in different ways. This project moves a known peer-to-peer algorithm, Chord, to the browser as a proof-of-concept. Moreover, it looks into using geographical location data to enhance the routing in a Distributed Hash Table (DHT). This project investigates the how to build a peer-to-peer system between browsers and how to test the system during development and after. The project proposes to use simulation and a scaled test with real browsers to test WebRTC based peer-to-peer applications. In this project, the browsers ran within Docker containers in data centers around the world. Both simulations and tests with real browsers can be used in development as well as evaluation testing. The Docker based real browser tests were helpful in indicating bugs, however, the environment were hard to debug. The results from the evaluation tests indicate that the routing enhanced with knowledge of geographical locations gives a boost in routing performance.
CP-02 1 Stimulation : Design of a stimulator and a focused coil for the application of small animals

Transcranial magnetic stimulation (TMS) is a non-invasive, safe, effective, and food and drug administration approved treatment for major depressive disorder. TMS relies on time-varying magnetic fields to induce an electric field in the brain, resulting in depolarization or hyperpolarization of the neurons. Recently, there has been extensive research to improve the magnetic coil design, effectiveness of TMS treatment, and improvement in the computer modeling of human brains, yet little development is reported on the TMS pulse generators and coil design for small animals. TMS pulse generators, or stimulators, are the circuits which provides pulse current to drive the inductive coils (TMS coils), used to generate time-varying magnetic fields. Commercial TMS stimulators are expensive and have limitations of using standard and non-customizable coils. These stimulators do not support small inductive loads, which require high-current capabilities. Furthermore, the commercial animal coil stimulates the entire body of a mouse, as they are designed for large animals. In this paper, the authors present the design of a small sized TMS stimulator and a focused coil for the application on small animals such as mice. The proposed TMS stimulator will have the potential of handling small inductive loads enabling stimulation of specific regions within the mouse brain.
Gouy phase in nonclassical paths in a triple-slit interference experiment

We propose a simple model to study the Gouy phase effect in the triple-slit experiment in which we consider a non-classical path. The Gouy phase differs for classical or non-classical paths as it depends on the propagation time. In this case the Gouy phase difference changes the Sorkin parameter $\kappa$ used to estimate non-classical path contribution in a nontrivial way shedding some light in the implementation of experiments to detect non-classical path contributions.
Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images

Change detection has been a hotspot in the remote sensing technology for a long time. With the increasing availability of multi-temporal remote sensing images, numerous change detection algorithms have been proposed. Among these methods, image transformation methods with feature extraction and mapping could effectively highlight the changed information and thus has a better change detection performance. However, the changes of multi-temporal images are usually complex, and the existing methods are not effective enough. In recent years, the deep network has shown its brilliant performance in many fields, including feature extraction and projection. Therefore, in this paper, based on the deep network and slow feature analysis (SFA) theory, we proposed a new change detection algorithm for multi-temporal remotes sensing images called deep SFA (DSFA). In the DSFA model, two symmetric deep networks are utilized for projecting the input data of bi-temporal imagery. Then, the SFA module is deployed to suppress the unchanged components and highlight the changed components of the transformed features. The change vector analysis pre-detection is employed to find unchanged pixels with high confidence as training samples. Finally, the change intensity is calculated with chi-square distance and the changes are determined by threshold algorithms. The experiments are performed on two real-world data sets and a public hyperspectral data set. The visual comparison and the quantitative evaluation have shown that DSFA could outperform the other state-of-the-art algorithms, including other SFA-based and deep learning methods.
Social support and psychological well-being as possible predictors of complicated grief in a cross-section of people in mourning

Objective: To analyze variations in complicated grief (CG) across sociodemographic variables and variables of optimal functioning: psychological well-being (PWB), available social support (ASS) and satis- faction with available social support (SASS). Method: A cross-sectional study was done with N = 110 people going to a free bereavement listening center (LC). They were given a questionnaire that included sociodemo- graphic aspects. The Inventory of Complicated Grief by Prigerson (ICG), a Spanish language adaptation of Ryff's Psychological Well-Being Questionnaire and the abbreviated version of Sarason's Social Support Questionnaire (SSQSR) were used. A descriptive and correlational (Pearson) analysis was carried out. Multiple linear regression was done by using a method of a step-by-step backwards elimination. Results: The average CG 40.91 (SD = 11.89), PWB 119.23 (SD = 18.75), ASS 10.56 (SD = 6.31) people and SASS 13.48 (SD = 4.17). The predictive variables of CG level were: PWB, ASS, SASS, months since loss, receiving pharmacological assistance and parental relationship. The adjusted R-squared was 42.4%. Conclusions: We can con- sider PWB and SASS predictors of CG. It would be appropriate to clarify the effect of depressive symptoms on the perception of ASS. This study contributes to increasing efficiency of resources, to be able to partially pre- dict CG through variables that do not involve the worsening of a mourning relative's state.