Miracle-dz/UniFAR-FTUs huggingface dataset:
Conforming the measured lifetimes of the $5d \ ^2D_{3/2,5/2}$ states in Cs with theory

We find very good agreement between our theoretically evaluated lifetimes of the $5d \ ^2D_{3/2}$ and $5d \ ^2D_{5/2}$ states of Cs with the experimental values reported in [Phys. Rev. A {\bf 57}, 4204 (1998)], which were earlier evinced to be disagreeing with an earlier rigorous theoretical study [Phys. Rev. A {\bf 69}, 040501(R) (2004)] and with another precise measurement [Opt. Lett. {\bf 21}, 74 (1996)]. In this work, we have carried out calculations of the radiative transition matrix elements using many variants of relativistic many-body methods, mainly in the coupled-cluster theory framework, and analyze propagation of the electron correlation effects to elucidate their roles for accurate evaluations of the matrix elements. We also demonstrate contributions explicitly from the Dirac-Coulomb interactions, frequency independent Breit interaction and lower order quantum electrodynamics (QED) effects. Uncertainties to these matrix elements due to different possible sources of errors are estimated. By combining our calculated radiative matrix elements with the experimental values of the transition wavelengths, we obtain the transition probabilities due to both the allowed and lower order forbidden channels. Adding these quantities together, the lifetimes of the above two states are determined precisely and plausible reasons for the reported inconsistencies between the earlier theoretical calculations and the experimental results have been pointed out.
W+3 jet production at the Tevatron

We compute the next-to-leading order QCD corrections to the production of W bosons in association with three jets at the Tevatron in the leading color approximation, which we define by considering the number of colors and the number of light flavors as being of the same order of magnitude. The theoretical uncertainty in the next-to-leading order prediction for the cross section is of the order of 15%-25% which is a significant improvement compared to the leading order result.
The Transit Light Curve Project. IX. Evidence for a Smaller Radius of the Exoplanet XO-3b

We present photometry of 13 transits of XO-3b, a massive transiting planet on an eccentric orbit. Previous data led to two inconsistent estimates of the planetary radius. Our data strongly favor the smaller radius, with increased precision: Rp = 1.217 ± 0.073 RJup. A conflict remains between the mean stellar density determined from the light curve, and the stellar surface gravity determined from the shapes of spectral lines. We argue the light curve should take precedence, and revise the system parameters accordingly. The planetary radius is about 1 σ larger than the theoretical radius for a hydrogen-helium planet of the given mass and insolation. To help in planning future observations, we provide refined transit and occultation ephemerides.
Latency-Energy Tradeoff in Connected Autonomous Vehicles: A Deep Reinforcement Learning Scheme

Vehicle Edge Computing (VEC)-assisted computational offloading brings cloud computing closer to user equipment (UEs) at the edge of the access network by delivering various services to the UEs with limited processing power and battery. However, in fifth-generation and beyond 5G (B5G) networks, where UEs’ service requests and locations change dynamically, the deployment of static edge server deployments may lead to an increase in latency and total energy consumption. This paper presents a latency-energy-aware, efficient task offloading scheme for connected autonomous vehicular networks. Firstly, vehicles are assembled into clusters, in which vehicle can transmit tasks to the other vehicle, while on the other hand, the VEC server is used for processing the data. We developed a joint resource allocation and offloading decision optimization problem to minimize network latency and total energy usage. Due to the non-convex character of the optimization issue, we employed the Markov decision process (MDP) to convert it to a reinforcement learning (RL) problem. Then, we used a soft-actor critic-based scheme to achieve the optimal policy for resource allocation and task offloading to reduce the total latency and energy consumption for connected autonomous vehicles. Simulation analysis reveals that the proposed scheme attains 46.6% and 17.2% lesser delay, and 28.8% and 20.0% consumes less energy than the Hybrid DRL with Genetic Algorithm (HDRL-GA) and DRL based collaborative Data Scheduling (DRL-CDSS) state-of-art schemes.
Spectroscopic evidence for a low-mass black hole in SWIFT J1753.5−0127

The black hole (BH) candidate SWIFT J1753.5-0127 has remained active since the onset of its 2005 outburst. Emission lines in the optical spectrum were observed at the very beginning of the outburst, but since then the spectrum has been featureless making a precise BH mass estimation impossible. Here we present results from our optical and UV observations of SWIFT J1753.5-0127 taken in 2012-2013. Our new observations show extremely broad, double-peaked emission lines in the optical and UV spectra. The optical data also show narrow absorption and emission features with nearly synchronous and significant Doppler motions. A radial velocity study of these lines which we associate with the secondary star, yields a semi-amplitude of K_2=382 km/s. A time-series analysis of the spectral and photometric data revealed a possible orbital periodicity of 2.85 h, significantly shorter than the reported 3.2 h periodic signal by Zurita et al. The observed variability properties argue against a low orbital inclination angle and we present several observational arguments in favour of the BH interpretation. However, the measured radial velocity semi-amplitude of the donor star and the short orbital period imply that SWIFT J1753.5-0127 has one of the lowest measured mass function for a BH in a low-mass X-ray binary. We show that the compact object mass in excess of 5 Msun is highly improbable. Thus, SWIFT J1753.5-0127 is a BH binary that has one of the shortest orbital period and hosts probably one of the smallest stellar-mass BH found to date.
Embedding hairy black holes in a magnetic universe

Ernst's solution generating technique is adapted to Einstein-Maxwell theory conformally (and minimally) coupled to a scalar field. This integrable system enjoys a SU(2,1) symmetry which enables one to move, by Kinnersley transformations, though the axisymmetric and stationary solution space, building an infinite tower of physically inequivalent solutions. As a specific application, metrics associated to scalar hairy black holes, such as the ones discovered by Bocharova, Bronnikov, Melnikov and Bekenstein, are embedded in the external magnetic field of the Melvin universe.
Density form factors of the 1D Bose gas for finite entropy states

We consider the Lieb–Liniger model for a gas of bosonic δ-interacting particles. Using Algebraic Bethe Ansatz results we compute the thermodynamic limit of the form factors of the density operator between finite entropy eigenstates such as finite temperature states or generic non-equilibrium highly excited states. These form factors are crucial building blocks to obtain the thermodynamic exact dynamic correlation functions of such physically relevant states. As a proof of principle we compute an approximated dynamic structure factor by including only the simplest types of particle-hole excitations and show the agreement with known results.
ON THE NATURE OF LOCAL INSTABILITIES IN ROTATING GALACTIC CORONAE AND COOL CORES OF GALAXY CLUSTERS

A long-standing question is whether radiative cooling can lead to local condensation of cold gas in the hot atmospheres of galaxies and galaxy clusters. We address this problem by studying the nature of local instabilities in rotating, stratified, weakly magnetized, optically thin plasmas in the presence of radiative cooling and anisotropic thermal conduction. For both axisymmetric and nonaxisymmetric linear perturbations, we provide general equations which can be applied locally to specific systems to establish whether they are unstable and, in case of instability, to determine the kind of evolution (monotonically growing or overstable) and the growth rates of the unstable modes. We present results for models of rotating plasmas representative of Milky-Way-like galaxy coronae and cool-cores of galaxy clusters. We show that the unstable modes arise from a combination of thermal, magnetothermal, magnetorotational, and heat-flux-driven buoyancy instabilities. Local condensation of cold clouds tends to be hampered in cluster cool cores, while it is possible under certain conditions in rotating galactic coronae. If the magnetic field is sufficiently weak, then the magnetorotational instability is dominant even in these pressure-supported systems.
Eigenvalues of the static, spherically-symmetric Einstein-Proca equations

The Proca potential has been used in many contexts in flat spacetime, but not so often in curved spacetime. Here, the static Proca potentials are derived on a Schwarzschild background, and are found to have very different forms from those in flat space. In addition, the coupling of the two fields leads to a quantum condition on the particle mass, which is found to be quantized and inversely proportional to the range parameter, $\mu$. This suggests that gravity may induce quantization in other physical fields.
Observable effects of anisotropic bubble nucleation

Our universe may have formed via bubble nucleation in an eternally-inflating background. Furthermore, the background may have a compact dimension — the modulus of which tunnels out of a metastable minimum during bubble nucleation — which subsequently grows to become one of our three large spatial dimensions. Then the reduced symmetry of the background is equivalent to anisotropic initial conditions in our bubble universe. We compute the inflationary spectrum in such a scenario and, as a first step toward understanding the effects of anisotropy, project it onto spherical harmonics. The resulting spectrum exhibits anomalous multipole correlations, their relative amplitude set by the present curvature parameter, which appear to extend to arbitrarily large multipole moments. This raises the possibility of future detection, if slow-roll inflation does not last too long within our bubble. A full understanding of the observational signal must account for the effects of background anisotropy on photon free streaming, and is left to future work.
How foreign information campaigns shape US public pronouncements about civil wars

Governments involved in civil wars often seek to shape foreign perceptions of the conflict and of the government’s role in the conflict. To this end, for example, many such governments have engaged in public diplomacy campaigns (PDCs) in the United States since the end of the Cold War. Specifically, these governments have hired US public relations (PR) and lobbying firms to present favorable narratives of themselves and their role in the conflict. Through PDCs, governments seek to shape US public pronouncements about the governments and the conflict itself. Are PDCs effective tools to reach this goal? We argue that the effect of PDCs is divergent. PDCs help mobilize both supporters and opponents of the sponsoring governments. In so doing, PDCs increase both positive and negative public statements from US officials toward the civil war government. We compile data on PDCs in the United States since the end of the Cold War. Our results have implications for research on foreign influence in foreign policy, combatants’ moral hazard, and international norms about combatant behavior. Moreover, in order to gauge the influence of foreign actors on domestic narratives of civil wars, it is crucial to consider how such foreign actors can indirectly shape the discourse around conflict by mobilizing domestic factions.
Deep Learning Models for SO2 Distribution in a 30 MW Boiler via Computational Fluid Dynamics Simulation Data

The distribution of SO2 in a boiler is an important factor affecting tube corrosion in a furnace. To investigate the correlation between SO2 distribution and numerous variables (e.g., temperature, O2 distribution, etc.), a hybrid deep learning model is developed via the computational fluid dynamics (CFD) simulation data. First, the combustion process under typical working conditions is simulated to output the training data set. Then, a LASSO algorithm is adopted to select input variables with a high correlation with SO2 distribution. Finally, a deep belief network combined with a restricted belief machine and a fully connected layer is developed to describe the nonlinear relationship. The proposed model is the first work to use a deep learning algorithm to obtain the correlation between SO2 distribution and other products of combustion. The results show that O2 concentration has the highest influence on SO2 distribution.
An algorithm that constructs irreducible triangulations of once-punctured surfaces

A triangulation of a surface is irreducible if there is no edge whose contraction produces another triangulation of the surface. In this work we propose an algorithm that constructs the set of irreducible triangulations of any surface with precisely one boundary component. By implementing the algorithm on computer, we have found a list of 293 nonisomorphic combinatorial types of irreducible triangulations on the once-punctured torus.
FDI and Environmental Sustainability Nexus: Testing the Pollution Haven Hypothesis in the Presence of Regulatory Quality

In this study, we examine the relationship between foreign direct investment (FDI) and environmental pollution within the context of the pollution haven hypothesis (PHH) in Ghana. We also investigate the role of regulatory quality in the FDI-pollution linkage. The study employs quarterly data spanning the period 2000Q1-2017Q4 and applies the fully modified least squares (FMOLS) technique. The empirical results show that FDI inflows significantly and positively drive environmental pollution. This result holds in the presence of regulatory quality. Accordingly, we confirm the validity of the pollution haven hypothesis in Ghana. The study also finds that industrialization increases pollution given its significant positive relationship with ecological footprint. We discuss relevant policy implications.
Modelling and mitigating refractive propagation effects in precision pulsar timing observations

To obtain the most accurate pulse arrival times from radio pulsars, it is necessary to correct or mitigate the effects of the propagation of radio waves through the warm and ionised interstellar medium. We examine both the strength of propagation effects associated with large-scale electron-density variations and the methodology used to estimate infinite-frequency arrival times. Using simulations of two-dimensional phase-varying screens, we assess the strength and non-stationarity of timing perturbations associated with large-scale density variations. We identify additional contributions to arrival times that are stochastic in both radio frequency and time and therefore not amenable to correction solely using times of arrival. We attribute this to the frequency dependence of the trajectories of the propagating radio waves. We find that this limits the efficacy of low-frequency (metre-wavelength) observations. Incorporating low-frequency pulsar observations into precision timing campaigns is increasingly problematic for pulsars with larger dispersion measures.
lended teaching and learning journey: Implementation in higher education institutions in Kenya

: Education, like all the other sectors, was impacted significantly by the COVID-19 pandemic. In a report by UNESCO, in 2020 alone, learning for more than 1.7 billion children in over 188 countries was disrupted. This forced education institutions to seek for alternative means and strategies to salvage the situation. Crash programmes on course design and on how to move blended teaching were initiated. This research was therefore conducted to establish the adoption and effect of blended education in universities in Kenya. The study was hinged on the Technology Acceptance theory. Mixed method design which involved use of both quantitative and qualitative approaches of data collection was adopted. In quantitative, the study used a survey research design where 500 questionnaires were administered to students in three public universities and two private ones in Kenya. For qualitative data, interview schedules were served to 20 key informants who were university administrators, lecturers, education officers and parents. Selections of the sample sizes for the study were purposively done. The quantitative data collected was analyzed using SPSS while qualitative data was analyzed using content analysis. Findings revealed that higher learning institutions have adopted blended education albeit with a lot of challenges to students, lecturers and other key stakeholders. It recommended that Higher Education Institutions and governments should promote blended learning even after the COVID-19 pandemic as a way of leveraging on technological advancements. The information may also be used to enhance formulation of relevant policies or supplement the existing ones on matters education and technology.
Behavior of perturbations on spherically symmetric backgrounds in multi-Galileon theory

We consider multi-Galileon theory, the most general Galilean invariant theory with $N$ scalar fields linearly coupled to the trace of the stress-energy tensor. We study the behavior of perturbations on a static spherically symmetric background with a massive point source, and show that, under the assumptions of stability and successful Vainshtein screening, solutions cannot be found that are free of both superluminal propagation and slowly moving, strongly coupled fluctuations. The latter imply that the theoretical and phenomenological issues related to a very low strong-interaction scale cannot be avoided in this model.
Noise-free generation of bright matter-wave solitons

We show how access to sufficiently flexible trapping potentials could be exploited in the generation of three-dimensional atomic bright matter-wave solitons. Our proposal provides a route towards producing bright solitonic states with good fidelity, in contrast to, for example, a nonadiabatic sweeping of an applied magnetic field through a Feshbach resonance
Biometric multi‐factor authentication: On the usability of the FingerPIN scheme

Fingerprint‐based authentication has been successfully adopted in a wide range of applications, including law enforcement and immigration, due to its numerous advantages over traditional password‐based authentication. Despite the usability and accuracy of this technology, some significant concerns still exist, which can potentially hinder its further adoption. For instance, a fingerprint is permanently associated with an individual and, once stolen, cannot be replaced, thus compromising biometric‐based authentication. To mitigate this concern, we previously designed a multi‐factor authentication approach that integrates Type‐1 and Type‐3 authentication factors into a fingerprint‐based personal identification number (PIN). To authenticate, a subject is required to present a sequence of fingerprints corresponding to the digits of the PIN, based on a predefined secret mapping between digits and fingers. We conducted a preliminary vulnerability analysis and demonstrated that this approach is robust to the compromise of one or more of the subject's fingerprints. The objective of the work presented in this paper is to identify any usability issues for this FingerPIN scheme, collect qualitative and quantitative data through a user study, and determine the participants' satisfaction with the authentication mechanism. We carried out systematic usability tests, designed suitable performance metrics for assessing authentication usability on an initial cohort of 100 individuals, and performed a comparative analysis of the FingerPIN scheme against traditional sequential multi‐factor authentication schemes.
Swift observations of the ultraluminous X-ray source XMMU J004243.6+412519 in M31

We report on a multi-wavelength study of the recently discovered X-ray transient XMMU J004243.6+412519 in M31, based on data collected with Swift and the 1.8-m Copernico Telescope at Cima Ekar in Asiago (Italy) between 2012 February and August. Undetected in all previous observations, in 2012 January XMMU J004243.6+412519 suddenly turned on, showing powerful X-ray emission with a luminosity of 1E+38 erg/s (assuming a distance of 780 kpc). In the following weeks, it reached a luminosity higher than 1E+39 erg/s, in the typical range of ultraluminous X-ray sources (ULXs). For at least 40 days the source luminosity remained fairly constant, then it faded below 1E+38 erg/s in the following 200 days. The source spectrum, which can be well described by multi-color disk blackbody model, progressively softened during the decay (the temperature changed from kT = 0.9 keV to 0.4 keV). No emission from XMMU J004243.6+412519 was detected down to 22 mag in the optical band and of 23-24 mag in the near ultraviolet. We compare the properties of XMMU J004243.6+412519 with those of other known ULXs and Galactic black hole transients, finding more similarities with the latter.
Researches advanced in human-computer collaboration and human-machine cooperation: from variances to common prospect

The booming technology of artificial intelligence (AI) and robotics enable people not only prospect its huge potential, but also limitation of capability when solving inplicit problems comparing with human. As a result, fields like Human- Computer Collaboration (HCC) and Human-Machine Cooperation (HMC) are developed and explored, with relevant concepts such as Human-in-The-Loop (HiTL) being aroused. Whereas, such types of research areas are lack of uniform standards and procedures, even measurements, attributing to the way too specific works to scenarios. Thus in this paper, a review of Human-Computer Collaboration (HCC) and Human-Machine Cooperation (HMC) is conducted from the aspects of vaiances to their common prospects. From data gathering to decision making and support, finally to interaction interface, the processing and operation of HCC/HMC systems are discussed, with key issues like trust level to agents proposed and future works suggested.
Large-Scale Experimental and Theoretical Study of Graphene Grain Boundary Structures

We have characterized the structure of 176 different single-layer graphene grain boundaries using $>$1000 experimental HRTEM images using a semi-automated structure processing routine. We introduce a new algorithm for generating grain boundary structures for a class of hexagonal 2D materials and use this algorithm and molecular dynamics to simulate the structure of $>$79000 graphene grain boundaries covering 4122 unique orientations distributed over the entire parameter space. The dislocation content and structural properties are extracted from all experimental and simulated boundaries, and various trends are explored. We find excellent agreement between the simulated and experimentally observed grain boundaries. Our analysis demonstrates the power of a statistically significant number of measurements as opposed to a small number of observations in atomic science. All experimental and simulated boundary structures are available online.