Miracle-dz/UniFAR-FTUs huggingface dataset:
The 4 Pi Sky Transient Alerts Hub

We introduce the 4 Pi Sky 'hub', a collection of open data-services and underlying software packages built for rapid, fully automated reporting and response to astronomical transient alerts. These packages build on the mature 'VOEvent' standardized message-format, and aim to provide a decentralized and open infrastructure for handling transient alerts. In particular we draw attention to the initial release of voeventdb, an archive and remote-query service that allows astronomers to make historical queries about transient alerts. By employing spatial filters and web-of-citation lookups, voeventdb enables cross-matching of transient alerts to bring together data from multiple sources, as well as providing a point of reference when planning new follow-up campaigns. We also highlight the recent addition of optical-transient feeds from the ASASSN and GAIA projects to our VOEvent distribution stream. Both the source-code and deployment-scripts which implement these services are freely available and permissively licensed, with the intention that other teams may use them to implement local or project-specific VOEvent archives. In the course of describing these packages we provide a basic primer for getting started with automated transient astronomy, including a condensed introduction to the VOEvent standard.
FERMI LARGE AREA TELESCOPE OBSERVATIONS OF SUPERNOVA REMNANTS INTERACTING WITH MOLECULAR CLOUDS

We report the detection of γ-ray emission coincident with four supernova remnants (SNRs) using data from the Large Area Telescope on board the Fermi Gamma-ray Space Telescope. G349.7+0.2, CTB 37A, 3C 391, and G8.7−0.1 are SNRs known to be interacting with molecular clouds, as evidenced by observations of hydroxyl (OH) maser emission at 1720 MHz in their directions. SNR shocks are expected to be sites of cosmic-ray acceleration, and clouds of dense material can provide effective targets for production of γ-rays from π0 decay. The observations reveal unresolved sources in the direction of G349.7+0.2, CTB 37A, and 3C 391, and a possibly extended source coincident with G8.7−0.1, all with significance levels greater than 10σ.
Beyond the Tao-Thouless limit of the fractional quantum Hall effect: spin chains and Fermi surface deformation

We discuss the relationship between the fractional quantum Hall effect in the vicinity of the thin-torus, a.k. a. Tao-Thouless (TT), limit and quantum spin chains. We argue that the energetics of fractional quantum Hall states in Jain sequence at filling fraction ν = p/(2p + 1) (and ν = 1 − p/(2p + 1)) in the lowest Landau level is captured by S = 1 spin chains with p spins in the unit cell. These spin chains naturally arise at sub-leading order in e−2π2 / L21 which serves as an expansion parameter away from the TT limit (L1 → 0). We also corroborate earlier results on the smooth Fermi surface deformation of the gapless state at ν = 1/2, interpolating between a state described by a critical S = 1/2 chain and the bulk.
Drude-Interband Coupling, Screening, and the Optical Conductivity of Doped Bilayer Graphene

We present a theory of the influence of band renormalization and excitonic electron-electron interaction effects on the optical conductivity $\sigma(\omega)$ of doped bilayer graphene. Using the Keldysh formalism, we derive a kinetic equation from which we extract numerical and approximate analytic results for $\sigma(\omega)$. Our calculations reveal a previously unrecognized mechanism which couples the Drude and interband response and renormalizes the plasmon frequency, and suggest that screening must play an essential role in explaining the weakly renormalized conductivity seen in recent experiments.
Hidden variable interpretation of spontaneous localization theory

The spontaneous localization theory of Ghirardi, Rimini, and Weber (GRW) is a theory in which wavepacket reduction is treated as a genuine physical process. Here it is shown that the mathematical formalism of GRW can be given an interpretation in terms of an evolving distribution of particles on configuration space similar to Bohmian mechanics (BM). The GRW wavefunction acts as a pilot wave for the set of particles. In addition, a continuous stream of noisy information concerning the precise whereabouts of the particles must be specified. Nonlinear filtering techniques are used to determine the dynamics of the distribution of particles conditional on this noisy information and consistency with the GRW wavefunction dynamics is demonstrated. Viewing this development as a hybrid BM–GRW theory, it is argued that, besides helping to clarify the relationship between the GRW theory and BM, its merits make it worth considering in its own right.
Resolving the L/T transition binary SDSS J2052-1609 AB

Binaries provide empirical key constraints for star formation theories, like the overall binary fraction, mass ratio distribution and the separation distribution. They play a crucial role to calibrate the output of theoretical models, like absolute magnitudes, colors and effective temperature depending on mass, metallicity and age. We present first results of our on-going high-resolution imaging survey of late type brown dwarfs. The survey aims at resolving tight brown dwarf binary systems to better constrain the T dwarf binary fraction. We intent to follow-up the individual binaries to determine orbital parameters. Using NACO at the VLT we performed AO-assisted near-infrared observations of SDSS J2052-1609. High-spatial resolution images of the T1 dwarf were obtained in H and Ks filters. We resolved SDSS J2052-1609 into a binary system with a separation of 0.101" \pm 0.001". Archival data from HST/NICMOS taken one year previous to our observations proves the components to be co-moving. Using the flux ratio between the components we infer J, H and Ks magnitudes for the resolved system. From the near-IR colors we estimate spectral types of T1 +1 -4 and T2.5 \pm 1 for component A and B, respectively. A first estimate of the total system mass yields Mtot > 78 Mjup, assuming a circular orbit.
The Impact Of COVID-19 On Electronic Industries Based on Fama-French Five-factor Model

COVID-19 has influenced almost every country in various aspects, especially the worldwide economy. As it is foreseeable that the epidemic will still last in the next few years, it’s important to analysis the impact of COVID-19 on the common model used in stock analysis. In this paper, we chose 7 years daily data form four companies of electronic industry (from Jan,1st 2015 to Nov,30 2021) in specific to quantitatively evaluate the effects based on Fama-French five-factor model. Through comparing the Fama-French five-factor coefficients in the first 5 years and the next 2 years, one sees that those economy factors are affected by COVID-19. By processing the 7 years data, the results of two groups are obtained. The test of correlation coefficient, t test, p value test and other tests are applied to exam the result and to see whether the model still suit for present stock market. Subsequently, we focused on the changes in each coefficient, combined with the profit and market, to analyses the performance of different factors. According to the analysis, some of the factors were sharply increased the influence on excess return rate like SMB on HPQ, HML on AAPL, etc. Other factors basically remained the same as before. These results shed light on the reaction on electronic industry in the COVID-19 and pave a path for investors’ decisions.
New constraints on a light CP-odd Higgs boson and related NMSSM Ideal Higgs Scenarios.

Recent BABAR limits on BR({Upsilon}(3S){yields}{gamma}a{yields}{gamma}{tau}{sup +{tau}-}) and BR({Upsilon}(3S){yields}{gamma}a{yields}{gamma}{mu}{sup +{mu}-}) provide increased constraints on the abb coupling of a CP-odd Higgs boson, a, with m{sub a} 7.5 GeV scenarios, which are theoretically the most favored, survive. We also outline the impact of the new ALEPH LEP results in the e{sup +}e{sup -{yields}}Z+4{tau} channel. For tan{beta}{>=}3, only NMSSM ideal Higgs scenarios with m{sub h{sub 1}} > or approx. 98 GeV and m{sub a{sub 1}} close to 2m{sub B} satisfy the ALEPH limits. For tan{beta} < or approx. 2, the ALEPH limits are easily satisfied for the most theoreticallymore » preferred NMSSM scenarios, which are those with m{sub a{sub 1}} close to 2m{sub B} and m{sub h{sub 1{approx}}}90-100 GeV. « less
The Loss of a Service Dog Through Death: Experiences of Partners

The purpose of this research was to explore how service dog partners experience the death of their service dog. Twenty-five partners who had lost a service dog self-selected from those who participated in a larger quantitative study. The quantitative study consisted of an online, anonymous survey targeting service dog handlers who had lost a dog within the last five years. Directed content analysis was used to identify prevalent themes. Results demonstrate that while the death of their service dog was a central life event, their grief was often disenfranchised. Many struggled with both the need to quickly acquire another service dog and the subsequent impact this had on their ability to grieve. Given the unique relationship between service dog and handler, it is important that counselors, service dog organizations and veterinarians are aware of the challenges associated with both loss and replacement and offer appropriate support to their clients.
Scalar field dark matter mass model and evolution of rotation curves for low surface brightness galaxies

We study the evolution of gas rotation curves within the scalar field dark matter (SFDM) model. In this model, the galactic haloes are astronomical Bose–Einstein condensate drops of scalar field (SF). These haloes are characterized by a constant density core and are consistent with observed rotation curves of dark matter (DM) dominated galaxies, a missing feature in cold dark matter haloes resulting from DM-only simulations. We add the baryonic component to the SFDM haloes and simulate the evolution of the DM tracer in a set of grid-based hydrodynamic simulations aimed to analyse the evolution of the rotation curves and the gas density distribution in the case of DM dominated galaxies. Previous works had found that when considering an exact analytic solution for a static SF configuration, the free parameters of the model allow for good fits to the rotation curves, we confirm that in our simulations but now taking into account the evolution of the baryonic component in a static DM and stellar disc potential. Including live gas is a step forward from the previous work using SFDM, as for example, the rotation velocity of the gas is not always exactly equal to the circular velocity of a test particle on a circular orbit. Contrasting with the data the cored mass model presented here is preferred instead of a cuspy one.
Impact of Intergovernmental Fiscal Transfer on Inter-Provincial Fiscal Disparity in Pakistan

The purpose of this research is to evaluate the disparity in the intergovernmental fiscal transfers to the sub-national governments, in the last four NFC awards specifically in the 7thNFC award in Pakistan. This study measures the disparity by employing two different approaches. Firstly coefficient of variation (C.V) approach i.e. variation in the regional own-source revenues to the variation in the total resource of regional government after inclusion of federal transfer and the own-source revenue, secondly, In addition, to estimate the impact of intergovernmental transfers on the fiscal disparity among the sub-national government this study uses panel data technique i.e. least square dummy variable (LSDV). The Results of fiscal disparity reflect that in Pakistan the disparity in combined regional own source revenue increases from 0.52 to 0.83 points during the last four NFC awards. However, at the sub-national level, the values of disparity remain constant at 0.16 in Sindh province which reflects fiscal efforts for the collection of own-source revenues among provinces. In contrast to this, the disparity increases in KPK, and its value reaches 0.240 in the existing award. The results of the empirical analysis also reveal that when the intergovernmental transfer increases by 1 percent the disparity ratio increases by 1.19percent. While the expenditure of the government increases the disparity at the sub-national level as the positive sign of the model reflects. Based on the findings this study suggests that Pakistan still needs to devise a revenue-sharing formula that encourages the efforts of optimal resource generation from the regional governments.
Improved Methodology for Conducted EMI Assessment of Wide Band-Gap Power Electronics

Electromagnetic interference (EMI) compliance is a requirement for most electronic systems and devices, including power electronics. The emergence of power electronic systems designed with wide band-gap (WBG) semiconductors poses new challenges for compliance. This is due to the high edge rates achievable with WBG devices, coupled with unintentional grounding paths, some of which are introduced galvanically with traditional EMI compliance instrumentation. This makes it beneficial to use isolated measurement methods in place of traditional ground-referenced EMI instruments. This approach is viable in comparison to traditional EMI compliance measurements and can significantly reduce circulating ground currents, which can greatly impact emissions measurement accuracy. This paper proposes a streamlined method for emissions evaluation of power electronics employing an oscilloscope, differential voltage probes, and post-processing software implemented in MATLAB. This proposed method eliminates unintended metrology ground coupling, yields faster full quasi-peak scan times, and minimizes risk of instrumentation damage.
Ethanol Effects on Early Developmental Stages Studied Using the Zebrafish

Fetal alcohol spectrum disorder (FASD) results from prenatal ethanol exposure. The zebrafish (Danio rerio) is an outstanding in vivo FASD model. Early development produced the three germ layers and embryonic axes patterning. A critical pluripotency transcriptional gene circuit of sox2, pou5f1 (oct4; recently renamed pou5f3), and nanog maintain potency and self-renewal. Ethanol affects sox2 expression, which functions with pou5f1 to control target gene transcription. Various genes, like elf3, may interact and regulate sox2, and elf3 knockdown affects early development. Downstream of the pluripotency transcriptional circuit, developmental signaling activities regulate morphogenetic cell movements and lineage specification. These activities are also affected by ethanol exposure. Hedgehog signaling is a critical developmental signaling pathway that controls numerous developmental events, including neural axis specification. Sonic hedgehog activities are affected by embryonic ethanol exposure. Activation of sonic hedgehog expression is controlled by TGF-ß family members, Nodal and Bmp, during dorsoventral (DV) embryonic axis establishment. Ethanol may perturb TGF-ß family receptors and signaling activities, including the sonic hedgehog pathway. Significantly, experiments show that activation of sonic hedgehog signaling rescues some embryonic ethanol exposure effects. More research is needed to understand how ethanol affects early developmental signaling and morphogenesis.
Inddragelse af hverdagen i andetsprogsundervisningen

I kontrast til fremmedsprogsundervisning er det særlige ved undervisning i andetsprog, at det rummer mulighed for, at kursisterne kan praktisere sproget uden for sprogskolen i hverdagen og på arbejdet. I perioden 2014-2016 foretog jeg en undersøgelse af en række voksenkursisters formål med at gå til dansk på Danskuddannelse 3 samt deres brug af målsproget, og undersøgelsen viste, at langt de flestes mål netop er at bruge sproget uden for (Jensen 2016). Alligevel forbliver den dansksprogede hverdag ofte en hypotetisk mulighed, da min undersøgelse imidlertid også viser, at mange sjældent eller kun i begrænset omfang bruger målsproget udenfor. En væsentlig årsag kan være, at undervisningen, til trods for intentionen, ikke støtter kursisterne i at overskride den usynlige sproglige grænse mellem klasseværelset og udenfor, idet den ikke i tilstrækkelig grad gør brug af de unikke læringsmuligheder, som miljøerne uden for klasseværelset rummer. Med udgangspunkt i den økologiske teori (Gibson 1986), som har fokus på kursisten i dynamisk relation til situation og miljø, vil jeg i det følgende uddybe denne problematik. Til sidst vil jeg komme med et forslag til, hvordan man som underviser på Danskuddannelse 3 i højere grad kan inddrage kursisternes hverdag i undervisningen.
Exact methods and Markov chain Monte Carlo methods of conditional inference for contingency tables

報告番号: 乙15917 ; 学位授与年月日: 2004-02-27 ; 学位の種別: 論文博士 ; 学位の種類: 博士(情報理工学) ; 学位記番号: 第15917号 ; 研究科・専攻: 情報理工学系研究科
Distribution-Free Tests of Independence with Applications to Testing More Structures

We consider the problem of testing mutual independence of all entries in a d-dimensional random vector X=(X_1,.,X_d)^T based on n independent observations. For this, we consider two families of distribution-free test statistics that converge weakly to an extreme value type I distribution. We further study the powers of the corresponding tests against certain alternatives. In particular, we show that the powers tend to one when the maximum magnitude of the pairwise Pearson's correlation coefficients is larger than C(log d/n)^{1/2} for some absolute constant C. This result is rate optimal. As important examples, we show that the tests based on Kendall's tau and Spearman's rho are rate optimal tests of independence. For further generalization, we consider accelerating the rate of convergence via approximating the exact distributions of the test statistics. We also study the tests of two more structural hypotheses: m-dependence and data homogeneity. For these, we propose two rank-based tests and show their optimality.
Metal-insulator transition in SrTiO3 induced by field effect

We have induced a metal-insulator transition in nondoped SrTiO3 by an electric field. The sheet carrier concentration of a SrTiO3 single-crystal surface was increased by electrostatic doping to 3.4×1012cm−2. A crossover from an insulating phase to a metallic state was clearly observed. The conduction mechanism in the insulating phase was explained in terms of thermal carrier excitation. By applying a gate field, the activation energy of the thermally excited carriers was reduced, eventually reaching zero at a critical gate field and thus converting the transistor channel to a metallic state. The sheet resistance was found to scale with temperature in both insulating and metallic states.
Mapping Dominant Boreal Tree Species Groups by Combining Area-Based and Individual Tree Crown LiDAR Metrics with Sentinel-2 Data

Abstract Airborne light detection and ranging (LiDAR) data are increasingly used to inform sustainable forest management practices. Information about species composition is needed for a range of applications; however, commonly used area-based summaries of LiDAR data are limited to accurately differentiate tree species. The objective of this study was to map dominant species groups across a large (>580,000 ha) boreal forest by combining area-based and individual tree metrics derived from single photon LiDAR data with multispectral information derived from Sentinel-2 imagery. Classification of the forest into jack pine (Pinus banksiana), black spruce (Picea mariana), mixed conifer, mixedwood, and hardwood species groups resulted in an overall accuracy of 67.8% compared with field data. A more generalized classification into softwood, hardwood, and mixedwood had an overall accuracy of 83.2%. The reflectance in the red edge region of the electromagnetic spectrum (λ = 740 nm), the area and volume of tree crowns, and the cumulative distribution of LiDAR returns in the canopy were particularly important variables to discriminate between species groups. Wall-to-wall predictions of species groups based on remotely sensed data—as derived herein—could provide a spatially-detailed alternative to stand-level species composition information traditionally derived from photo-interpreted aerial imagery.
Review on Functional Testing Scenario Library Generation for Connected and Automated Vehicles

The advancement of autonomous driving technology has had a significant impact on both transportation networks and people’s lives. Connected and automated vehicles as well as the surrounding driving environment are increasingly exchanging information. The traditional open road test or closed field test, which has large costs, lengthy durations, and few diverse test scenarios, cannot satisfy the autonomous driving system’s need for reliable and safe testing. Functional testing is the emphasis of the test since features such as frontal collision and traffic sign warning influence driving safety. As a result, simulation testing will undoubtedly emerge as a new technique for unmanned vehicle testing. A crucial aspect of simulation testing is the creation of test scenarios. With an emphasis on the map generating method and the dynamic scenario production method in the test scenarios, this article explains many scenarios and scenario construction techniques utilized in the process of self-driving car testing. A thorough analysis of the state of relevant research is conducted, and approaches for creating common scenarios as well as brand-new methods based on machine learning are emphasized.
Metrics for graph comparison: A practitioner’s guide

Comparison of graph structure is a ubiquitous task in data analysis and machine learning, with diverse applications in fields such as neuroscience [1], cyber security [2], social network analysis [3], and bioinformatics [4], among others. Discovery and comparison of structures such as modular communities, rich clubs, hubs, and trees in data in these fields yields insight into the generative mechanisms and functional properties of the graph. Often, two graphs are compared via a pairwise distance measure, with a small distance indicating structural similarity and vice versa. Common choices include spectral distances (also known as λ distances) and distances based on node affinities (such as DeltaCon [5]). However, there has of yet been no comparative study of the efficacy of these distance measures in discerning between common graph topologies and different structural scales. In this work, we compare commonly used graph metrics and distance measures, and demonstrate their ability to discern between common topological features found in both random graph models and empirical datasets. We put forward a multi-scale picture of graph structure, in which the effect of global and local structure upon the distance measures is considered. We make recommendations on the applicability of different distance measures to empirical graph data problem based on this multi-scale view. Finally, we introduce the Python library NetComp which implements the graph distances used in this work.