Miracle-dz/UniFAR-FTUs huggingface dataset:
Characteristics of the 2012 Geminids

The parent of the Geminids, 3200 Phaethon, is a unique body in that it is classified as an asteroid, however is responsible for one of the most prolific meteor showers of the year and has shown comet-like behavior in its past (Jewitt and Li 2010). The Geminid meteor shower is also anomalous as its rates have been increasing since it was first detected. Understanding the composition and properties of meteoroids that belong to this meteor shower is an important area of study and of interest to both theoreticians and experimentalists. Using the light curve and decelerations of ten double-station Geminids as seen in the Meteoroid Environment Office's widefield meteor cameras, densities were able to be approximated using a model of meteoroid ablation by Campbell-Brown et al (2013) which employs thermal disruption to model the release of grains during ablation. Bulk densities of Geminids give unique insight into the composition of Phaethon that would only be derived by going to the asteroid itself. The bulk densities of these ten Geminids were found to be between 2.6 and 3.0 g/cm(3), supporting results from Babadzhanov (2009) and Borovicka et al (2010) which prove Phaethon has a much lower porosity than most other meteor shower parents. NASA's Meteoroid Environment Office established these two wide-field meteor cameras to observe meteors in the milligram-mass-range. Each camera consists of a 17 mm focal length Schneider lens (f/0.95) on a Watec 902U2 Ultimate CCD video camera, producing a 21.7x15. 5 degree field-of-view. This configuration sees meteors down to a magnitude of +6. Data from these cameras are currently being used to calculate daily automated meteor fluxes. On the first night of operation, December 13-14, 2012, 18 double-station and 53 unique single-station Geminids were detected. The Geminid flux results from this system will be presented as well as ZHR's over the peak of the Geminids. The average flux density over the night was 0.058, 0.052, and 0.062 meteors/km(2)/hour down to a limiting magnitude of +6.5, for the double-station results and each single-station's results. This equates to ZHR's of 113, 102, and 122 respectively. Included in the flux algorithm is a process to find the collecting area per height and a method to find the limiting meteor magnitude per 10 minute time period.
Profitable agricultural land use planning in a red and lateritic soil of subtropical environment using field-based index of crop suitability (ICS)

Abstract The study’s specific objective is to identify prospective cashew nut (Anacardium occidentale) producing areas in the Bankura district based on soil availability and land suitability in red and lateritic soil. The index of crop suitability (ICS) analysis was carried out utilizing the Fuzzy-analytical hierarchy process (F-AHP) approach and 16 geo-environmental variables such as soil texture, soil organic carbon (OC), Soil electrical conductivity (EC), soil pH, slope, rainfall, etc. The criteria were also developed following FAO's crop suitability index for the distinction between S (suitable) and N (unsuitable) order. According to the cashew suitability class, 9.24% of cashew growth regions can be categorised as highly suitable, 34.57% as moderately suitable, and 19.59% as marginally suitable. The F-AHP weight shows the important factors of cashew cultivation that are soil OC and EC. The results demonstrate that cashew production is more beneficial in the red and lateritic soil.
Metabolomics characterization of Senna tora (L.) Roxb. using different approaches

The present study aimed to investigate the variety of elements, chemical compounds and their corresponding functional groups in the whole plant, leaves, and seeds of Senna tora. A preliminary phytochemical analysis has revealed the presence of secondary metabolites including alkaloids, flavonoids, tannins, terpenoids, cardiac active glycosides, phenolics, etc. Gas Chromatography and Mass Spectrophotometry (GC-MS) analysis of leaves and seeds of S. tora has depicted 31 and 27 compounds, respectively. Fourier Transform Infrared (FT-IR) Spectroscopy has further unveiled the presence of different functional groups such as amines, aromatic compounds, carboxyl groups, ketones etc. associated with different metabolites. Wavelength Dispersive X-ray Fluorescence (WD-XRF) has revealed the presence of more than 20 elements (macro and micro) including Ca, Mg, Fe, K, etc. This study has highlighted the detailed account of the chemical compounds and elements present in the plant species under investigation and substantiated its medicinal importance in the traditional health care system.
THE K2 M67 STUDY: REVISITING OLD FRIENDS WITH K2 REVEALS OSCILLATING RED GIANTS IN THE OPEN CLUSTER M67

Observations of stellar clusters have had a tremendous impact in forming our understanding of stellar evolution. The open cluster M67 has a particularly important role as a calibration benchmark for stellar evolution theory due to its near-solar composition and age. As a result, it has been observed extensively, including attempts to detect solar-like oscillations in its main sequence and red giant stars. However, any asteroseismic inference has so far remained elusive due to the difficulty in measuring these extremely low-amplitude oscillations. Here we report the first unambiguous detection of solar-like oscillations in the red giants of M67. We use data from the Kepler ecliptic mission, K2, to measure the global asteroseismic properties. We find a model-independent seismic-informed distance of 816 ± 11 pc, or mag, an average red giant mass of , in agreement with the dynamical mass from an eclipsing binary near the cluster turn-off, and ages of individual stars compatible with isochrone fitting. We see no evidence of strong mass loss on the red giant branch. We also determine seismic of all the cluster giants with a typical precision of dex. Our results generally show good agreement with independent methods and support the use of seismic scaling relations to determine global properties of red giant stars with near-solar metallicity. We further illustrate that the data are of such high quality that future work on individual mode frequencies should be possible, which would extend the scope of seismic analysis of this cluster.
Quantum dot spectroscopy using cavity QED

Cavity quantum electrodynamics has attracted substantial interest, both due to its potential role in the field of quantum information processing and as a testbed for basic experiments in quantum mechanics. Here, we show how cavity quantum electrodynamics using a tunable photonic crystal nanocavity in the strong coupling regime can be used for single quantum dot spectroscopy. From the distinctive avoided crossings observed in the strongly coupled system we can identify the neutral and single positively charged exciton as well as the biexciton transitions. Moreover we are able to investigate the fine structure of those transitions and to identify a novel cavity mediated mixing of bright and dark exciton states, where the hyperfine interactions with lattice nuclei presumably play a key role. These results are enabled by a deterministic coupling scheme which allowed us to achieve unprecedented coupling strengths in excess of 150 μeV.
A Novel Replica of High Dimensional Data Using Feature Subset Selection Algorithm

In the high dimensional data the dimensional reduction is an important factor, for that purpose the clustering based feature subset selection algorithm is proposed in this paper. The features has been clustered according to the class labels. The Relevance of the clustered features has been evaluated. The correlation of the relevant clustered feature are then evaluated. Based on the correlation evaluation the Minimum Spanning Tree (MST) has been generated. The representatives of each class has been identified by the MST. The effectiveness is determined in terms of time required to find the subset of feature and the efficiency is determined terms of quality of the subset. By comparing the proposed algorithm with the existing feature selection algorithms like FCBF, reliefF, CFS etc with respect to the four classification algorithms namely Naive Bayer, the tree based c4.5, the instance based IB1 and rule based RIPPER the proposed algorithm is better in terms of efficiency and accuracy. The results are computed with various types of data set.
Multi-seeded melt growth (MSMG) of bulk Y-Ba-Cu-O using thin-film seeds

Y-Ba-Cu-O (YBCO) and Sm-Ba-Cu-O (SmBCO) thin films have been used for the first time as heterogeneous seeds to multi-seed successfully the melt growth of bulk YBCO in a multi-seeded melt growth (MSMG) process. The use of thin film seeds, which may be prepared with highly controlled orientation (i.e. with a well-defined a-b plane and precisely known a-direction), is based on their superheating properties and reduces significantly contamination of the bulk sample by the seed material. A variety of grain boundaries were obtained by varying the angle between the seeds. Microstructural studies indicate that the extent of residual melt deposited at the grain boundary decreases with increasing grain boundary contact angle. It is established that the growth front proceeds continuously at the (110)/(110) grain boundary without trapping liquid, which leads to the formation of a clean grain boundary.
Analytical Expression for the Decay History of an Atmospheric Turbule

Abstract : This investigation was undertaken as a part of a larger effort to determine the implications of using coherent turbulent structures or turbules to calculate acoustic scattering from turbulent media, a process that has been suggested as a possible non-line-of-sight means of detecting enemy assets on the battlefield. I present an analytical solution to a correlate of the incompressible Navier-Stokes equation. The correlate equation is for the enstrophy, the square of the vorticity. The solution is an expression for the time history of the enstrophy for a particular choice of the initial velocity distribution.
A NEW LOW MASS FOR THE HERCULES dSph: THE END OF A COMMON MASS SCALE FOR THE DWARFS?

We present a new mass estimate for the Hercules dwarf spheroidal (dSph) galaxy, based on the revised velocity dispersion obtained by Adén et al. The removal of a significant foreground contamination using newly acquired Strömgren photometry has resulted in a reduced velocity dispersion. Using this new velocity dispersion of 3.72 ± 0.91 km s-1, we find a mass of M300 = 1.9+1.1−0.8 × 106 M☉ within the central 300 pc, which is also the half-light radius, and a mass of M433 = 3.7+2.2−1.6 × 106 M☉ within the reach of our data to 433 pc, significantly lower than previous estimates. We derive an overall mass-to-light ratio of M433/L = 103+83−48[M☉/L☉]. Our mass estimate calls into question recent claims of a common mass scale for dSph galaxies. Additionally, we find tentative evidence for a velocity gradient in our kinematic data of 16 ± 3 km s−1 kpc−1, and evidence of an asymmetric extension in the light distribution at ∼0.5 kpc. We explore the possibility that these features are due to tidal interactions with the Milky Way. We show that there is a self-consistent model in which Hercules has an assumed tidal radius of rt = 485 pc, an orbital pericenter of rp = 18.5 ± 5 kpc, and a mass within rt of . Proper motions are required to test this model. Although we cannot exclude models in which Hercules contains no dark matter, we argue that Hercules is more likely to be a dark-matter-dominated system that is currently experiencing some tidal disturbance of its outer parts.
The Good, the Bad, and the Ugly: Experiences, Barriers, and Self-Efficacy Enhancement for Social Justice-Oriented Faculty

Although a commitment to social justice is central to the identity of counseling psychologists, little is known about how faculty contribute to a culture of social justice. The current study aims to explore engagement in social justice by answering six questions: 1) how do faculty define social justice, 2) how do they engage in social justice with students, 3) what barriers exist in relation to their engagement, 4) how often do faculty engage in social justice with students, 5) how supported do faculty feel in relation to their social justice efforts, and 6) what impact does training have on social justice self-efficacy and subsequent engagement? To examine these questions, a nationwide sample of 72 faculty from APA-accredited counseling psychology programs completed an online survey. Findings from thematic analysis revealed several themes across faculty definitions of, and engagement in, social justice, despite a number of barriers they also identified. Results from quantitative analyses suggested that most faculty engage in social justice. However, many are operating with little support. Several barriers to engagement exist, but graduate school training in social justice may help to eradicate those barriers. Faculty members who received training in social justice as students reported significantly more social justice self-efficacy now. Additionally, faculty with more social justice self-efficacy reported greater engagement in social justice in their professional and personal lives. Implications for promoting social justice among faculty are discussed, including practical suggestions for fostering self-efficacy, building a strong community, promoting adequate training, accessing role models, and engaging in self-care.
Firm-specific news and idiosyncratic volatility anomalies: Evidence from the Chinese stock market

Abstract In this paper, we examine the relationship between idiosyncratic volatility and future returns around the firm-specific news announcements in the Chinese stock market following. The results show that the pricing of non-news idiosyncratic volatility is more strongly negative compared to news idiosyncratic volatility. Such findings imply that limited arbitrage cannot fully explain the negative pricing of idiosyncratic volatility in the Chinese stock market. These results are robust after controlling for several well-known variables, such as market beta, firm size, book-to-market, momentum, liquidity, and maximum return. However, after adjusting by additional macroeconomic variables, the Chinese four-factor model and the salience trading volume factor, the average returns on zero-investment IVOL and non-news IVOL portfolios turn out to be insignificant, indicating that they may be one driver of the IVOL puzzle in the Chinese stock market.
Estimation for Functions of Two Parameters in the Pareto Distribution

For a two-parameter Pareto distribution, the uniformly minimum variance unbiased estimateors(UMVUE) for the function of the two parameters are expressed in terms of confluent hypergeometric function. The variance of the UMVUE is also expressed in terms of hypergeometric function of several variables. UMVUE's for the moment about zero and several useful parametric functions, and their variances are obtained as special cases. The estimators of Baxter(1980) and Saksena and Johnson(1984) are special cases of our estimator.
Guaranteed Cost Control based Anti-windup Design for Systems with Actuator Saturation

This work investigates the issue of guaranteed cost control (GCC) based anti-windup design for the continuous-time systems with actuator saturation (AS). A quadratic Lyapunov function is used to establish the stability of closed-loop systems. The existence of dynamic output-feedback controllers is demonstrated using linear matrix inequalities (LMIs). The anti-windup compensator is designed to mitigate the detrimental “windup” effects of the AS. The proposed approach guarantees the asymptotic stability of the systems as well as provides an upper bound for the closed-loop performance index. A design problem of optimal anti-windup compensator gain with guaranteed cost is converted as a convex optimization problem. The usefulness of the proposed strategy is demonstrated with the help of an appropriate example.
NEAR-INFRARED POLARIMETRY OF A NORMAL SPIRAL GALAXY VIEWED THROUGH THE TAURUS MOLECULAR CLOUD COMPLEX

Few normal galaxies have been probed using near-infrared polarimetry, even though it reveals magnetic fields in the cool interstellar medium better than either optical or radio polarimetry. Deep H-band (1.6 μm) linear imaging polarimetry toward Taurus serendipitously included the galaxy 2MASX J04412715+2433110 with adequate sensitivity and resolution to map polarization across nearly its full extent. The observations revealed the galaxy to be a steeply inclined (∼75°) disk type with a diameter, encompassing 90% of the Petrosian flux, of 4.2 kpc at a distance of 53 Mpc. Because the sight line passes through the Taurus Molecular Cloud complex, the foreground polarization needed to be measured and removed. The foreground extinction AV of 2.00 ± 0.10 mag and reddening E(H − K) of 0.125 ± 0.009 mag were also assessed and removed, based on analysis of Two Micron All Sky Survey, UKIRT Infrared Deep Sky Survey, Spitzer, and Wide-field Infrared Survey Explorer photometry using the Near-Infrared Color Excess, NICE-Revisited, and Rayleigh–Jeans Color Excess methods. Corrected for the polarized foreground, the galaxy polarization values range from 0% to 3%. The polarizations are dominated by a disk-parallel magnetic field geometry, especially to the northeast, while either a vertical field or single scattering of bulge light produces disk-normal polarizations to the southwest. The multi-kiloparsec coherence of the magnetic field revealed by the infrared polarimetry is in close agreement with short-wavelength radio synchrotron observations of edge-on galaxies, indicating that both cool and warm interstellar media of disk galaxies may be threaded by common magnetic fields.
MAGNETIZED NEUTRON STAR ATMOSPHERES: BEYOND THE COLD PLASMA APPROXIMATION

All the neutron star (NS) atmosphere models published so far have been calculated in the “cold plasma approximation,” which neglects the relativistic effects in the radiative processes, such as cyclotron emission/absorption at harmonics of cyclotron frequency. Here, we present new NS atmosphere models which include such effects. We calculate a set of models for effective temperatures Teff = 1–3 MK and magnetic fields B ∼ 1010–1011 G, typical for the so-called central compact objects (CCOs) in supernova remnants, for which the electron cyclotron energy Ec, e and its first harmonics are in the observable soft X-ray range. Although the relativistic parameters, such as kTeff/mec2 and Ec, e/mec2, are very small for CCOs, the relativistic effects substantially change the emergent spectra at the cyclotron resonances, E ≈ sEc, e (s = 1, 2, …). Although the cyclotron absorption features can form in a cold plasma due to the quantum oscillations of the free–free opacity, the shape and depth of these features change substantially if the relativistic effects are included. In particular, the features acquire deep Doppler cores, in which the angular distribution of the emergent intensity is quite different from that in the cold plasma approximation. The relative contributions of the Doppler cores to the equivalent widths of the features grow with increasing quantization parameter beff ≡ Ec, e/kTeff and harmonic number s. The total equivalent widths of the features can reach ∼150–250 eV; they increase with growing beff and are smaller for higher harmonics.
Continuous-time Monte Carlo methods for quantum impurity models

Quantum impurity models describe an atom or molecule embedded in a host material with which it can exchange electrons. They are basic to nanoscience as representations of quantum dots and molecular conductors and play an increasingly important role in the theory of "correlated electron" materials as auxiliary problems whose solution gives the "dynamical mean field" approximation to the self energy and local correlation functions. These applications require a method of solution which provides access to both high and low energy scales and is effective for wide classes of physically realistic models. The continuous-time quantum Monte Carlo algorithms reviewed in this article meet this challenge. We present derivations and descriptions of the algorithms in enough detail to allow other workers to write their own implementations, discuss the strengths and weaknesses of the methods, summarize the problems to which the new methods have been successfully applied and outline prospects for future applications.
Solar and Planetary Dynamos: Evidence for the Suppression of the Alpha-effect by Weak Magnetic Fields

A system for intelligently governing the selection of one of a boiler follow or turbine follow mode of control of a steam turbine power plant is disclosed. Boiler and turbine master controllers are concurrently operative in one of the boiler follow and turbine follow modes for controlling the firing rate of the plant boiler or positioning the steam admission valves of the steam turbine, respectively. Each of the boiler and turbine master controllers are operative to respectively generate a first and second plurality of signals which are representative of plant control status. A selecting means is disposed as an integral part of the plant controls for switching between the turbine follow and boiler follow control modes. Accordingly, the disclosed system intelligently governs the selecting means to switch the plant control to the boiler follow mode in accordance with a first set of predetermined plant control conditions and to switch the plant control to the turbine follow mode in accordance with a second set of predetermined plant control conditions wherein the first and second sets of predetermined plant control conditions are established from the first and second plurality of signals.
User Scheduling for Opportunistic Nonorthogonal Random Access in Finite Blocklength IoT Networks

We propose a user-scheduling scheme for uplink opportunistic nonorthogonal random access in a finite blocklength Internet-of-Things (IoT) network. The considered system consists of high-priority IoT (HP-IoT) devices requiring strict quality-of-service (QoS) and low-priority IoT (LP-IoT) devices with delay-tolerance. Active LP-IoT devices opportunistically transmit their data subject to the QoS constraints of the HP-IoTs. We first analyze the sum-throughput achieved by the LP-IoT devices. Next, we devise greedy algorithm and Kuhn–Munkres algorithm-based schemes for user scheduling to maximize the throughput. Numerical results are provided to demonstrate the effectiveness of our proposed scheme over the conventional approach.
Sounding stellar cores with mixed modes

The space-borne missions CoRoT and Kepler have opened a new era in stellar physics, especially for evolved stars, with precise asteroseismic measurements that help determine precise stellar parameters and perform ensemble asteroseismology. This paper deals with the quality of the information that we can retrieve from the oscillations. It focusses on the conditions for obtaining the most accurate measurement of the radial and non-radial oscillation patterns. This accuracy is a prerequisite for making the best with asteroseismic data. From radial modes, we derive proxies of the stellar mass and radii with an unprecedented accuracy for field stars. For dozens of subgiants and thousands of red giants, the identification of mixed modes (corresponding to gravity waves propagating in the core coupled to pressure waves propagating in the envelope) indicates unambiguously their evolutionary status. As probes of the stellar core, these mixed modes also reveal the internal differential rotation and show the spinning down of the core rotation of stars ascending the red giant branch. A toy model of the coupling of waves constructing mixed modes is exposed, for illustrating many of their features.