Miracle-dz/UniFAR-FTUs huggingface dataset:
Go ta catch ‘em al or not enough time: Users motivations for playing Pokémon Go™ and non-users’ reasons for not installing

Urban exergames are played in the real-world environment using built-in mobile phone sensors. The influence of Pokémon Go on physical activity and sitting time has been examined previously, however limited research has explored motivations for using the application. Thus, the aim of this study was to explore Pokémon Go users’ motivations for using the application, exusers’ reasons for abandoning the game and non-users’ reasons for not installing. After institutional ethical approval, the ‘Physical Activity and Pokémon Go’ questionnaire was developed using QualtricsTM and distributed using social media soon after launch in the United Kingdom (baseline). At baseline a total of 461 participants (n=193 male, n=265 female, n=3 transgender) who were predominantly white (n=420) and did not self-report a disability (n=443) completed the questionnaire. Users’ (n=236) were questioned on their motivations for using Pokémon Go and non-users’ provided reasons for not installing. At 3 months a total of 127 participants (n=23 users) completed the questionnaire again and all qualitative data was thematically analyzed. The most commonly reported reason for using Pokémon Go was ‘to have fun’ which was 86% and 83% at baseline and 3 months respectively. The second most frequent reason at baseline was ‘friends were using it’ (58%) and at 3 months was ‘to be outside’ (48%). The least common motivation for using Pokémon Go at both baseline and 3 months was ‘to meet new people’ (8% and 0% respectively). At baseline, social motives and competition were two general themes which encapsulated Pokémon Go users’ motivation for using the application. There were two general themes reported by Pokémon Go users’ as to why they did not think they would use the application in the future. These were application related factors and factors unrelated to Pokémon Go. Non-users reported a range of reasons for not using Pokémon Go, including lack of interest and a lack of time. Safety concerns and risk of adverse events were reported by both users and non-users. This is the first study to thematically analyze motives for using Pokémon Go in which the findings are: 1) future smartphone applications aiming to increase physical activity must ensure that objectives evolve to maintain initial interest and motivation to engage with applications; 2) game developers must consider the required phone storage and capability which could be a barrier to downloading; and 3) concerns of using the application including the safety of users and those around them.
Kinematical and Dynamical Modeling of Elliptical Galaxies

Elements of kinematical and dynamical modeling of elliptical galaxies (Es) are presented. In projection, NFW models resemble Sersic models, but with a very narrow range of shapes (m=3+/-1). The total density profile of Es cannot be NFW-like because the predicted local M/L and aperture velocity dispersion within an effective radius (Re) are much lower than observed. Stars must then dominate Es out to a few Re. Fitting an NFW model to the total density profile of Sersic+NFW (stars+dark matter [DM]) Es results in very high concentration parameters, as found by X-ray observers. Kinematical modeling of Es assuming an isotropic NFW DM model underestimates M/L at the virial radius by a factor of 1.6 to 2.4, because dissipationless LCDM halos have slightly different density profiles and slightly radial velocity anisotropy. In N-body+gas simulations of Es as merger remnants of spirals embedded in DM halos, the slope of the DM density profile is steeper when the initial spiral galaxies are gas-rich. The Hansen & Moore (2006) relation between anisotropy and the slope of the density profile breaks down for gas and DM, but the stars follow an analogous relation with slightly less radial anisotropies for a given density slope. Using kurtosis (h_4) to infer anisotropy in Es is dangerous, as h_4 is also sensitive to small levels of rotation. The stationary Jeans equation provides accurate masses out to 8 Re. The discrepancy between the modeling of Romanowsky et al. (2003), indicating a dearth of DM in Es, and the simulations analyzed by Dekel et al. (2005), which match the spectroscopic observations of Es, is partly due to radial anisotropy and to observing oblate Es face-on. However, one of the 15 solutions to the orbit modeling of Romanowsky et al. is found to have an amount and concentration of DM consistent with LCDM predictions.
Elastic Properties of C and B x C y N z Composite Nanotubes

We present a comparative study of the energetic, structural, and elastic properties of carbon and composite single-wall nanotubes, including BN, ${\mathrm{BC}}_{3}$, and ${\mathrm{BC}}_{2}\mathrm{N}$ nanotubes, using a nonorthogonal tight-binding formalism. Our calculations predict that carbon nanotubes have a higher Young modulus than any of the studied composite nanotubes, and of the same order as that found for defect-free graphene sheets. We obtain good agreement with the available experimental results.
Localization Algorithm Using Improved RSSI

The RSSI measuring localization method has attracted extensive attention due to its convenient acquisition of signals, low cost and small energy consumption. However, the actual environment of sensor node deployment is varied, which makes the localization results based on RSSI measuring usually unstable. In accordance with various factors such as the randomness of sensor node deployment and the impact of actual environment on the measuring signals, this paper has proposed a new RSSI location estimation algorithm. This algorithm can increase the localization accuracy to the maximum during the measuring phase and coordinate calculation phase. The theoretical analysis and simulation result show that this algorithm has higher accuracy and stability than previous algorithms of the same kind.
Markarian 1239: A Highly Polarized Narrow-Line Seyfert 1 Galaxy with a Steep X-Ray Spectrum and Strong Ne IX Emission

We report the results of an XMM-Newton observation of the narrow-line Seyfert 1 galaxy Mrk 1239. This optically highly polarized AGN has one of the steepest X-ray spectra found in AGNs, with αX = +3.0 based on ROSAT PSPC data. The XMM-Newton EPIC pn and MOS data confirm this steep X-ray spectrum. The pn data are best fitted by a power law with a partial-covering absorption model suggesting two light paths between the continuum source and the observer, one indirect scattered one, which is less absorbed, and a highly absorbed direct light path. This result agrees with the wavelength-dependent degree of polarization in the optical/UV band. Residuals in the X-ray spectra of all three XMM-Newton EPIC detectors around 0.9 keV suggest the presence of an emission-line feature, most likely the Ne IX triplet. The detection of Ne IX and the nondetection of O VII/O VIII suggest a supersolar Ne/O ratio.
Effect of Measure and Interpolation Methods for Intensity-Based Medical Image Registration

The local extreme is main reason to hamper the optimization process and influence the registration accuracy in medical image registration algorithm. In general, the accuracy of image registration based on mutual information is afforded by interpolation methods. In this paper, we analyze the effect of the measure and interpolation methods for medical image registration and present a medical image registration algorithm using mutual strictly concave function measure and partial volume (PV) interpolation methods. The experiment results show that for images with low local correlation the algorithm has the ability to reduce the local extreme, the registration accuracy is improved, and the algorithm expended less time than mutual information based registration method with partial volume (PV) or generalized partial volume estimation (GPVE).
An 8-week resistance training protocol is effective in adapting quadriceps but not patellar tendon shear modulus measured by Shear Wave Elastography

Habitual loading and resistance training (RT) can lead to changes in muscle and tendon morphology as well as in its mechanical properties which can be measured by Shear Wave Elastography (SWE) technique. The objective of this study was to analyze the Vastus Lateralis (VL) and patellar tendon (PT) mechanical properties adaptations to an 8-week RT protocol using SWE. We submitted 15 untrained health young men to an 8-week RT directed for knee extensor mechanism. VL and PT shear modulus (μ) were assessed pre and post intervention with SWE. PT thickness (PTT), VL muscle thickness (VL MT) and knee extension torque (KT) were also measure pre and post intervention to ensure the RT efficiency. Significant increases were observed in VL MT and KT (pre = 2.40 ± 0.40 cm and post = 2.63 ± 0.35 cm, p = 0.0111, and pre = 294.66 ± 73.98 Nm and post = 338.93 ± 76.39 Nm, p = 0.005, respectively). The 8-week RT was also effective in promoting VL μ adaptations (pre = 4.87 ± 1.38 kPa and post = 9.08.12 ± 1.86 kPa, p = 0.0105), but not in significantly affecting PT μ (pre = 78.85 ± 7.37 kPa and post = 66.41 ± 7.25 kPa, p = 0.1287) nor PTT (baseline = 0.364 ± 0.053 cm and post = 0.368 ± 0.046 cm, p = 0.71). The present study showed that an 8-week resistance training protocol was effective in adapting VL μ but not PT μ. Further investigation should be conducted with special attention to longer interventions, to possible PT differential individual responsiveness and to the muscle-tendon resting state tension environment.
Burst assembly and scheduling mechanism for optical burst switching networks

Optical burst switching (OBS) is a promising solution for realizing IP over WDM since it combines the advantages of optical circuit switching and optical packet switching (OPS) while overcoming their shortages. In this paper, the mechanisms to implement burst assembly and scheduling in an OBS edge router are discussed. The performance of the output traffic from the edge router, e.g. traffic shape and delay, is analyzed with simulation results. The results show that the traffic shape and the delay are affected by maximum delay specified by different classes of services, the maximum length of the burst, the burstiness of the traffic, and the mechanisms of burst assembly and scheduling. By properly designing, the traffic shape can be improvement while the delay keeping in the bounds.
Predictions for the Detection and Characterization of Galactic Disk Microlensing Events by LSST

The upcoming Large Synoptic Survey Telescope (LSST) survey will provide an unprecedented opportunity for studying populations of intrinsically faint objects using microlensing. The LSST’s large field of view and aperture allow effective time-series observations of many stars in the Galactic disk and bulge. Here, we combine Galactic models (for ) and simulations of LSST observations to study how observing strategies affect the number and properties of microlensing events detected by LSST. Generally, detectable microlensing events are (a little) longer than events observable with current surveys. In Galactic bulge fields, LSST should detect on the order of 600 microlensing events per square degree as compared to 19 in disk fields. Improving the cadence from 6 to 2 days approximately doubles the number of detectable microlensing events throughout the Galaxy. We develop an Operations Simulator (OpSim)–based simulation to predict the characteristics of detectable microlensing events in different OpSim strategies and compare them. Based on baseline_2018a, minion_1016, and colossus_2664 OpSim simulations, LSST will observe with either 900 or 170 epochs in different observing times and cadences. With worse cadences LSST will detect longer microlensing events of brighter stars with lower blending. Although increasing the observing time from 1 to 10 yr with a fixed number of epochs does not change the total number of microlensing events significantly, the longer observing time lets one discern artificial effects and measure baseline fluxes, parallax, etc. If LSST spends enough time observing near the Galactic plane, then the large number of microlensing events will allow studies of the Galactic distribution of planets and searches for isolated black holes among a wealth of other scientific cases.
Flat-Sky Pseudo-Cls Analysis for Weak Gravitational Lensing

We investigate the use of estimators of weak lensing power spectra based on a flat-sky implementation of the Pseudo-Cl (PCl) technique, where the masked shear field is transformed without regard for masked regions of sky. This masking mixes power, and E-convergence and B-modes. To study the accuracy of forward-modelling and full-sky power spectrum recovery we consider both large-area survey geometries, and small-scale masking due to stars and a checkerboard model for field-of-view gaps. The power spectrum for the large-area survey geometry is sparsely-sampled and highly oscillatory, which makes modelling problematic. Instead, we derive an overall calibration for large-area mask bias using simulated fields. The effects of small-area star masks can be accurately corrected for, while the checkerboard mask has oscillatory and spiky behaviour which leads to percent biases. Apodisation of the masked fields leads to increased biases and a loss of information. We find that we can construct an unbiased forward-model of the raw PCls, and recover the full-sky convergence power to within a few percent accuracy for both Gaussian and lognormal-distributed shear fields. Propagating this through to cosmological parameters using a Fisher-Matrix formalism, we find we can make unbiased estimates of parameters for surveys up to 1,200 deg$^2$ with 30 galaxies per arcmin$^2$, beyond which the percent biases become larger than the statistical accuracy. This implies a flat-sky PCl analysis is accurate for current surveys but a Euclid-like survey will require higher accuracy.
The Optimal Classification Using a Linear Discriminant for Two Point Classes Having Known Mean and Covariance

The current study provides a simple algorithm for finding the optimal ROC curve for a linear discriminant between two point distributions, given only information about the classes' means and covariances. The method makes no assumptions concerning the exact type of distribution and is shown to provide the best possible discrimination for any physically reasonable measure of the classification error. This very general solution is shown to specialise to results obtained in other papers which assumed multi-dimensional Gaussian distributed classes, or minimised the maximum classification error. Some numerical examples are provided which show the improvement in classification of this method over previously used methods.
A real-time road detection method based on reorganized lidar data

Road Detection is a basic task in automated driving field, in which 3D lidar data is commonly used recently. In this paper, we propose to rearrange 3D lidar data into a new organized form to construct direct spatial relationship among point cloud, and put forward new features for real-time road detection tasks. Our model works based on two prerequisites: (1) Road regions are always flatter than non-road regions. (2) Light travels in straight lines in a uniform medium. Based on prerequisite 1, we put forward difference-between-lines feature, while ScanID density and obstacle radial map are generated based on prerequisite 2. According to our method, we construct an array of structures to store and reorganize 3D input firstly. Then, two novel features, difference-between-lines and ScanID density, are extracted, based on which we construct a consistency map and an obstacle map in Bird Eye View (BEV). Finally, the road region is extracted by fusing these two maps and refinement is used to polish up our outcome. We have carried out experiments on the public KITTI-Road benchmark, achieving one of the best performances among the lidar-based road detection methods. To further prove the efficiency of our method on unstructured road, the visual outcomes in rural areas are also proposed.
The Investigation of High-Temperature SAW Oxygen Sensor Based on ZnO Films

In this paper, a wireless oxygen sensor based on a surface acoustic wave (SAW) was reported. For high-temperature applications, novel Al2O3/ZnO/Pt multilayered conductive film was deposited on langasite substrate as the electrodes, and ZnO film obtained by the pulse laser deposition (PLD) method was used as the sensitive film. The measurements of X-ray diffraction (XRD) and a scanning electron microscope (SEM) showed that the c-axis orientation of the ZnO grains and the surface morphology of the films were regulated by the deposition temperature. Meanwhile, the gas response of the sensor was strongly dependent on the surface morphology of the ZnO film. The experimental results showed that the oxygen gas sensor could operate at a high-temperature environment up to 850 °C with good stability for a long period. The max frequency shift of the sensors reaches 310 kHz, when exposed to 40% O2 gas at 850 °C. The calculated standard error of the sensors in a high-temperature measurement process is within 3%. Additionally, no significant signal degradation could be observed in the long-term experimental period. The prepared SAW oxygen gas sensor has potential applications in high-temperature sensing systems.
Particle-in-cell Simulations of Global Relativistic Jets with Helical Magnetic Fields

Abstract We study the interaction of relativistic jets with their environment, using 3-dimen- sional relativistic particle-in-cell simulations for two cases of jet composition: (i) electron-proton (e − − p +) and (ii) electron-positron (e ±) plasmas containing helical magnetic fields. We have performed simulations of “global” jets containing helical magnetic fields in order to examine how helical magnetic fields affect kinetic instabilities such as the Weibel instability, the kinetic Kelvin-Helmholtz instability and the Mushroom instability. We have found that these kinetic instabilities are suppressed and new types of instabilities can grow. For the e − − p + jet, a recollimation-like instability occurs and jet electrons are strongly perturbed, whereas for the e ± jet, a recollimation-like instability occurs at early times followed by kinetic instability and the general structure is similar to a simulation without a helical magnetic field. We plan to perform further simulations using much larger systems to confirm these new findings.
Aging dynamics of quantum spin glasses of rotors

We study the long time dynamics of quantum spin glasses of rotors using the non-equilibrium Schwinger-Keldysh formalism. These models are known to have a quantum phase transition from a paramagnetic to a spin glass phase, which we approach by looking at the divergence of the spin relaxation rate at the transition point. In the aging regime, we determine the dynamical equations governing the time evolution of the spin response and correlation functions, and show that all terms in the equations that arise solely from quantum effects are irrelevant at long times under time reparametrization group (RpG) transformations. At long times, quantum effects enter only through the renormalization of the parameters in the dynamical equations for the classical counterpart of the rotor model. Consequently, quantum effects only modify the out of equilibrium fluctuation dissipation relation (OEFDR), i.e. the ratio X between the temperature and the effective temperature, but not the form of the classical OEFDR.
KINEMATIC DISTANCE ASSIGNMENTS WITH H i ABSORPTION

Using H i absorption spectra from the International Galactic Plane Survey, a new method is implemented to resolve the kinematic distance ambiguity for 75 H ii regions with known systemic velocities from radio recombination lines. A further 40 kinematic distance determinations are made for H ii region candidates without known systemic velocities through an investigation of the presence of H i absorption around the terminal velocity. New kinematic distance determinations can be used to further constrain spiral arm parameters and the location and extent of other structures in the Milky Way disk. H i absorption toward continuum sources beyond the solar circle is also investigated. Follow-up studies of H i at higher resolution than the 1′ to 2′ of existing Galactic Plane Surveys will provide kinematic distances to many more H ii regions on the far side of the Galactic center. On the basis of the velocity channel summation technique developed in this paper, a much larger sample of H ii regions will be analyzed in a future paper to remove the near–far distance ambiguity.
Primary Care SHOPping intervention for cardiovascular disease prevention (PC-SHOP): protocol for a randomised controlled trial to reduce saturated fat intake

Introduction A diet high in saturated fat (SFA) increases the risk of cardiovascular disease (CVD) and intakes in the UK exceed dietary recommendations. The Primary Care Shopping Intervention for Cardiovascular Disease Prevention (PC-SHOP) study aims to test the effect of an intervention for people with raised low-density lipoprotein (LDL) cholesterol involving health professional (HP) advice alone, or in combination with personalised feedback based on nutritional analysis of grocery store loyalty card data, on SFA intake and blood lipids in comparison with no intervention. Methods and analysis PC-SHOP is a three-arm parallel randomised controlled trial with an allocation ratio of 1:3:3 (‘no intervention’: n=16, ‘brief support’: n=48, ‘brief support plus shopping feedback’: n=48, respectively). Participants with raised LDL will be recruited from general practitioner (GP) practices for a 3-month intervention period. In brief support, an HP will deliver a behaviourally informed 10 min consultation and provide a written self-help guide to inform and motivate people to reduce their SFA intake. In brief support plus shopping feedback, the participants will receive the same HP-led behavioural support and, based on data from their grocery store loyalty card, personalised feedback on the SFA content of their grocery shopping, identifying high SFA purchases and suggesting swaps to similar but lower SFA items. Measurements for the primary and secondary outcomes will be collected at baseline and at follow-up (3 months). The primary outcome measure will be the between-group difference in the reduction of SFA intake between baseline and follow-up. Secondary outcomes include changes in blood lipids and SFA content of food purchases, with process measures to consider the feasibility and acceptability of the intervention. Ethics and dissemination This study has been reviewed and approved by the National Health Service Health Research Authority Research Ethics Committee (Ref: 17/SC/0168). The trial findings will be disseminated to academic and HPs through presentations at meetings and peer-reviewed journals and to the public through the media. If the intervention is effective, the results will be communicated to relevant stakeholders, including policymakers and retailers. Trial registration number ISRCTN14279335; Pre-results.
An analytic secondary source model of edge diffraction impulse responses

A new impulse-response model for the edge diffraction from finite rigid or soft wedges is presented which is based on the exact Biot–Tolstoy solution. The new model is an extension of the work by Medwin et al. [H. Medwin et al., J. Acoust. Soc. Am. 72, 1005–1013 (1982)], in that the concept of secondary edge sources is used. It is shown that analytical directivity functions for such edge sources can be derived and that they give the correct solution for the infinite wedge. These functions support the assumption for the first-order diffraction model suggested by Medwin et al. that the contributions to the impulse response from the two sides around the apex point are exactly identical. The analytical functions also indicate that Medwin’s second-order diffraction model contains approximations which, however, might be of minor importance for most geometries. Access to analytical directivity functions makes it possible to derive explicit expressions for the first- and even second-order diffraction for certain .