Miracle-dz/UniFAR-FTUs huggingface dataset:
Edge-state inner products and real-space entanglement spectrum of trial quantum Hall states

We consider the trial wavefunctions for the Fractional Quantum Hall Effect (FQHE) that are given by conformal blocks, and construct their associated edge excited states in full generality. The inner products between these edge states are computed in the thermodynamic limit, assuming generalized screening (i.e. short-range correlations only) inside the quantum Hall droplet, and using the language of boundary conformal field theory (boundary CFT). These inner products take universal values in this limit: they are equal to the corresponding inner products in the bulk 2d chiral CFT which underlies the trial wavefunction. This is a bulk/edge correspondence; it shows the equality between equal-time correlators along the edge and the correlators of the bulk CFT up to a Wick rotation. This approach is then used to analyze the entanglement spectrum (ES) of the ground state obtained with a bipartition A\cupB in real-space. Starting from our universal result for inner products in the thermodynamic limit, we tackle corrections to scaling using standard field-theoretic and renormalization group arguments. We prove that generalized screening implies that the entanglement Hamiltonian H_E = - log {\rho}_A is isospectral to an operator that is local along the cut between A and B. We also show that a similar analysis can be carried out for particle partition. We discuss the close analogy between the formalism of trial wavefunctions given by conformal blocks and Tensor Product States, for which results analogous to ours have appeared recently. Finally, the edge theory and entanglement spectrum of px + ipy paired superfluids are treated in a similar fashion in the appendix.
Heating of Milky Way disc stars by dark matter fluctuations in cold dark matter and fuzzy dark matter paradigms

Although highly successful on cosmological scales, cold dark matter (CDM) models predict unobserved overdense ‘cusps’ in dwarf galaxies and overestimate their formation rate. We consider an ultralight axion-like scalar boson which promises to reduce these observational discrepancies at galactic scales. The model, known as fuzzy dark matter (FDM), avoids cusps, suppresses small-scale power, and delays galaxy formation via macroscopic quantum pressure. We compare the substructure and density fluctuations of galactic dark matter haloes comprised of ultralight axions to conventional CDM results. Besides self-gravitating subhaloes, FDM includes non-virialized overdense wavelets formed by quantum interference patterns, which are an efficient source of heating to galactic discs. We find that, in the solar neighbourhood, wavelet heating is sufficient to give the oldest disc stars a velocity dispersion of ${\sim } {30}{\, \mathrm{km\, s}^{-1}}$ within a Hubble time if energy is not lost from the disc, the velocity dispersion increasing with stellar age as σD ∝ t0.4 in agreement with observations. Furthermore, we calculate the radius-dependent velocity dispersion and corresponding scaleheight caused by the heating of this dynamical substructure in both CDM and FDM with the determination that these effects will produce a flaring that terminates the Milky Way disc at $15\! -\! 20{\, \mathrm{kpc}}$. Although the source of thickened discs is not known, the heating due to perturbations caused by dark substructure cannot exceed the total disc velocity dispersion. Therefore, this work provides a lower bound on the FDM particle mass of ma > 0.6 × 10−22 eV. Furthermore, FDM wavelets with this particle mass should be considered a viable mechanism for producing the observed disc thickening with time.
arXiv : Highlights of discussions on Top quark and Higgs Physics in CKM2018

In the 10^th International Workshop on the CKM Unitarity Triangle, the sessions of the High-p T flavor physics were devoted to the related topics in top quark physics, Higgs physics, semileptonic decays of B mesons and leptoquark searches. This notes summarizes the highlights of discussions on top quark and Higgs physics.
Hypolipidemic Potential of Ethyl acetate Extract of Hyphaene thebaica Fruit in Streptozotocin-induced Diabetic Rats

Hyperlipidemia is characterized by elevated levels of Triglycerides, Cholesterol, LDL, and decreased levels of HDL are challenges in the management of Diabetes mellitus which might lead to death. This study aimed to determine the hypolipidemic potential of ethyl acetate extract of Hyphaene thebaica fruit in streptozotocin-induced diabetic rats. The hypolipidemic potential of H. thebaica fruit in streptozotocin-induced diabetic rats was determined. Rats were divided into six groups. Treatment groups were administered the extract at doses of 400 and 200 mg/kg body weight. Oral administration of the extract at 400 mg/kg body weight for four weeks significantly (p < 0.05) decreased the levels of total cholesterol (151.7 mg/dl ±2.40), Triglyceride (84.0 mg/dl ±1.15), LDL (75.2 mg/dl ±1.20) and increased HDL (39.3 mg/dl ±1.88) level. However no significant (p < 0.05) difference was observed between the 400 and 200 mg/kg body weight dose. Conclusively, H. thebaica can be used as a medicinal plant due to its protective action against dyslipidemic complications of diabetes mellitus.
Network Pharmacology and Experimental Validation to Reveal Effects and Mechanisms of Icariin Combined with Nobiletin against Chronic Obstructive Pulmonary Diseases

Background Chronic obstructive pulmonary disease (COPD) is a long-term respiratory disorder marked by restricted airflow and persistent respiratory symptoms. According to previous studies, icariin combined with nobiletin (I&N) significantly ameliorates COPD, but the therapeutic mechanisms remain unclear. Purpose The aim of the study is to investigate the therapeutic mechanisms of I&N against COPD using network pharmacology and experimental validation. Methods The targets of I&N and related genes of COPD were screened and their intersection was selected. Next, the protein-protein interaction (PPI) networks, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed. Further, a COPD rat model was established to validate the effect and mechanisms of I&N. Results 445 potential targets I&N were obtained from SwissTargetPrediction, STITCH 5.0, and PharmMapper databases. 1831 related genes of COPD were obtained from GeneCards, DrugBank, and DisGeNet databases. 189 related genes were screened via matching COPD targets with I&N. 16 highest score targets among 189 targets were obtained according to PPI networks. GO and KEGG pathway enrichment analyses of 16 highest score targets suggested that these key genes of I&N were mostly enriched in the tumor necrosis factor (TNF) pathway, mitogen-activated protein kinase (MAPK) pathway, and phosphatidyl inositol 3-kinase (PI3K)-protein kinase B (AKT) pathway. Therefore, the treatments of I&N for COPD were connected with inflammation-related pathways. In in vivo experiments, the studies indicated that I&N improved the lung function and alleviated the damage of pulmonary histopathology. Moreover, I&N reduced levels of interleukin (IL)-6, IL-1β, and TNF-α in lung tissues of COPD rats and inhibited the activation of the MAPK pathway and PI3K-Akt pathway. Conclusions Icariin combined with nobiletin has therapeutic effects on COPD by inhibiting inflammation. The potential mechanisms of I&N may relate to the MAPK pathway and PI3K-Akt pathway.
The Lyman-alpha forest at 1.5 < Z < 4

Using high resolution (R ~ 45000), high S/N (20-50) VLT/UVES observations covering the Lyman-alpha forest at 1.5 2.4 from the literature, we have presented the redshift evolution of the Lyman-alpha forest at 1.5 2.4. These results suggest the main drive of the redshift evolution of the forest at 1.5 < z < 4 is the Hubble expansion. When combined with the HST observations from the QSO key project at z < 1.7, a flattening of the line number density evolution does seem to occur at z ~ 1.2. The result suggests that the ionizing UV background might not evolve as strongly as a QSO-dominated background, indicating a contribution to the UV background from galaxies at z < 2. The lower cut-off Doppler paramter at the fixed column denisty log N = 13.5 shows a slight increase as z decreases, with a possible local maximum at z ~ 2.9. The slope of the lower cut-off Doppler parameter is not well-defined with z. However, it is flatter at z < 3.1 than at z ~ 3.75.
An Overview of the Performance and Scientific Results from the Chandra X‐Ray Observatory

The Chandra X‐Ray Observatory (CXO), the X‐ray component of NASA’s Great Observatories, was launched on 1999 July 23 by the space shuttle Columbia. After satellite systems activation, the first X‐rays focused by the telescope were observed on 1999 August 12. Beginning with the initial observation it was clear that the telescope had survived the launch environment and was operating as expected. Despite an initial surprise due to the discovery that the telescope was far more efficient for concentrating CCD‐damaging low‐energy protons than had been anticipated, the observatory is performing well and is returning superb scientific data. Together with other space observatories, most notably XMM‐Newton, it is clear that we have entered a new era of discovery in high‐energy astrophysics.
Uncertainty Quantification for Optical Model Parameters

Although uncertainty quantification has been making its way into nuclear theory, these methods have yet to be explored in the context of reaction theory. For example, it is well known that different parameterizations of the optical potential can result in different cross sections, but these differences have not been systematically studied and quantified. The purpose of this work is to investigate the uncertainties in nuclear reactions that result from fitting a given model to elastic-scattering data, as well as to study how these uncertainties propagate to the inelastic and transfer channels. We use statistical methods to determine a best fit and create corresponding 95\% confidence bands. A simple model of the process is fit to elastic-scattering data and used to predict either inelastic or transfer cross sections. In this initial work, we assume that our model is correct, and the only uncertainties come from the variation of the fit parameters. We study a number of reactions involving neutron and deuteron projectiles with energies in the range of 5-25 MeV/u, on targets with mass $A$=12-208. We investigate the correlations between the parameters in the fit. The case of deuterons on $^{12}$C is discussed in detail: the elastic-scattering fit and the prediction of $^{12}$C(d,p)$^{13}$C transfer angular distributions, using both uncorrelated and correlated $\chi^2$ minimization functions. The general features for all cases are compiled in a systematic manner to identify trends. Our work shows that, in many cases, the correlated $\chi ^2$ functions (in comparison to the uncorrelated $\chi^2$ functions) provide a more natural parameterization of the process. These correlated functions do, however, produce broader confidence bands. Further optimization may require improvement in the models themselves and/or more information included in the fit.
Vibrational and rotational excited states within a Bohr Hamiltonian with a deformation-dependent mass formalism

In a recent work [Phys. Rev. C 84, 044321 (2011)] M. J. Ermamatov and P. R. Fraser have studied rotational and vibrational excited states of axially symmetric nuclei within the Bohr Hamiltonian with different mass parameters. However, the energy formula that the authors have used contains some inaccuracies. So the numerical results they obtained seem to be controversial. In this paper, we revisit all calculations related to this problem and determine the appropriate formula for the energy spectrum. Moreover, in order to improve such calculations, we reconsider this problem within the framework of the deformation-dependent mass formalism. Also, unlike the work of Bonatsos et al. [Phys. Rev. C 83, 044321 (2011)], in which the mass parameter has not been considered, we will show the importance of this parameter and its effect on numerical predictions.
Multimodal Core Tensor Factorization and its Applications to Low-Rank Tensor Completion

Low-rank tensor completion has been widely used in computer vision and machine learning. This paper develops a novel multimodal core tensor factorization (MCTF) method combined with a tensor low-rankness measure and a better nonconvex relaxation form of this measure (NC-MCTF). The proposed models encode low-rank insights for general tensors provided by Tucker and T-SVD and thus are expected to simultaneously model spectral low-rankness in multiple orientations and accurately restore the data of intrinsic low-rank structure based on few observed entries. Furthermore, we study the MCTF and NC-MCTF regularization minimization problem and design an effective block successive upper-bound minimization (BSUM) algorithm to solve them. Theoretically, we prove that the iterates generated by the proposed models converge to the set of coordinatewise minimizers. This efficient solver can extend MCTF to various tasks such as tensor completion. A series of experiments including hyperspectral image (HSI), video and MRI completion confirm the superior performance of the proposed method.
ASSESSMENT OF THE EFFECT OF PULSATING ELECTROMAGNETIC FIELDS ON BIOCHEMICAL AND MORPHOLOGICAL PARAMETERS CHANGES OF BRASSICA JUNCEA ( MUSTARD SEEDS ) *

In order to study the effect of pulsed magnetic field on the morphological and biochemical features of Brassica juncea the possible involvement of pulsed magnetic pretreatment in physiological and biochemical factors in Brassica juncea was investigated. Treatments such as seeds without exposure to pulsating magnetic field (control), seeds with magnetic field 0.01 HZ ± 12000nT, current 10 mA for 5 hours per day for 15 days (test) were carried out. According to results obtained with Brassica juncea it can be said that the 0.01Hz PMFs remarkably improved the fresh weight of shoots and roots, leaf area and plant height from seedlings from magnetically-exposed seeds compared to the control, increased the total soluble sugar, total protein and amino acid contents also. The leaf chlorophyll a, b and total chlorophyll were higher in PMF pretreated plants, as compared to other treatments. In addition, the activities of αamylase and βamylase enzymes were increased. The results confirmed that the intensity of the magnetic field had effects on the growth parameters and biochemical composition.
The Impact of Spectroscopic Fiber Collisions on the Observed Angular Correlation Function

The design of some spectroscopic galaxy surveys is such that fibre collisions can affect the completeness of the survey. To quantify this effect, we compare the two-point correlation functions, $\omega(\theta)$, of two surveys with differing observational strategies. Fibre collisions are an accepted consequence of the design of the Sloan Digital Sky Survey's spectroscopic campaign (SDSS), whereas the Galaxy And Mass Assembly survey (GAMA) circumvents fibre-collisions by re-observing fields using different fibre configurations. We show that the correlation functions of these surveys diverge at scales smaller than the SDSS fibre collision limit, and that at separations smaller than $20''$ $\omega(\theta)_{\text{GAMA}} > \omega(\theta)_{\text{SDSS}}$ with $>4\sigma$ confidence.
Development and Characterization of Glandless Cottonseed Meal/Pullulan Fine Fiber Mats

Glandless cotton seed meal (GCSM) extracted from cotton is composed of nearly 50 percent protein. For about every 100kg of cotton fiber produced the cotton plant yields approximately 160kg of cottonseed. GCSM presents a unique opportunity to be used in the food industry. In this study, GCSM based polymer composite edible fine fibers were successfully produced using pullulan as the polymeric base. GCSM solutions were developed and spun as fine fibers using a centrifugal spinning technology. A synergistic approach among fiber output and fiber diameter was pursued by modifying angular velocity and concentration of pullulan and GCSM within an aqueous solution. The developed fibers show average fiber diameters of 720nm with a standard deviation of 200nm. Thermo-physical analysis was conducted. The opportunity to develop GCSM fine fiber mats opens up potential applications in food packaging and drug delivery systems to mention some.
Morphology of AGN emission-line regions in SDSS-IV MaNGA survey

Extended narrow-line regions (NLRs) around active galactic nuclei (AGN) are shaped by the distribution of gas in the host galaxy and by the geometry of the circumnuclear obscuration, and thus they can be used to test the AGN unification model. In this work, we quantify the morphologies of the narrow-line regions in 308 nearby AGNs ($z=0-0.14$, \lbol $\sim 10^{42.4-44.1}$ \erg{}) from the MaNGA survey. Based on the narrow-line region maps, we find that a large fraction (81\%) of these AGN have bi-conical NLR morphology. The distribution of their measured opening angles suggests that the intrinsic opening angles of the ionization cones has a mean value of 85--98$^\circ$ with a finite spread of 39-44$^\circ$ (1-$\sigma$). Our inferred opening angle distribution implies a number ratio of type I to type II AGN of 1:1.6--2.3, consistent with other measurements of the type I / type II ratio at low AGN luminosities. Combining these measurements with the WISE photometry data, we find that redder mid-IR color (lower effective temperature of dust) corresponds to stronger and narrower photo-ionized bicones. This relation is in agreement with the unification model that suggests that the bi-conical narrow-line regions are shaped by a toroidal dusty structure within a few pc from the AGN. Furthermore, we find a significant alignment between the minor axis of host galaxy disks and AGN ionization cones. Together, these findings suggest that obscuration on both circumnuclear ($\sim $pc) and galactic ($\sim$ kpc) scales are important in shaping and orienting the AGN narrow-line regions.
EARLIEST STAGES OF PROTOCLUSTER FORMATION: SUBSTRUCTURE AND KINEMATICS OF STARLESS CORES IN ORION

We study the structure and kinematics of nine 0.1 pc scale cores in Orion with the IRAM 30 m telescope and at higher resolution eight of the cores with CARMA, using CS(2–1) as the main tracer. The single-dish moment zero maps of the starless cores show single structures with central column densities ranging from 7 to 42 × 1023 cm−2 and LTE masses from 20 M☉ to 154 M☉. However, at the higher CARMA resolution (5″), all of the cores except one fragment into 3–5 components. The number of fragments is small compared to that found in some turbulent fragmentation models, although inclusion of magnetic fields may reduce the predicted fragment number and improve the model agreement. This result demonstrates that fragmentation from parsec-scale molecular clouds to sub-parsec cores continues to take place inside the starless cores. The starless cores and their fragments are embedded in larger filamentary structures, which likely played a role in the core formation and fragmentation. Most cores show clear velocity gradients, with magnitudes ranging from 1.7 to 14.3 km s−1 pc−1. We modeled one of them in detail, and found that its spectra are best explained by a converging flow along a filament toward the core center; the gradients in other cores may be modeled similarly. We infer a mass inflow rate of ∼2 × 10−3 M☉ yr−1, which is in principle high enough to overcome radiation pressure and allow for massive star formation. However, the core contains multiple fragments, and it is unclear whether the rapid inflow would feed the growth of primarily a single massive star or a cluster of lower mass objects. We conclude that fast, supersonic converging flow along filaments play an important role in massive star and cluster formation.
Parametric studies of cosmic ray acceleration in supernova remnants

We present a library of numerical models of cosmic-ray accelerating supernova remnants (SNRs) evolving through a homogeneous ambient medium. We analyse distributions of the different energy components and diffusive shock acceleration time-scales for the models in various conditions. The library comprises a variety of SNR evolutionary scenarios and is used to map remnants with sufficiently known properties. This mapping constrains the respective ambient medium properties and the acceleration efficiency. Employing the library, we derive the ambient medium density, ambient magnetic field strength and the cosmic-ray acceleration efficiency for models of Tycho and SN 1006 remnants and refine the ages of SNR 0509-67.5 and SNR 0519-69.0.
2+1 quantum gravity with a Barbero–Immirzi-like parameter on toric spatial foliation

We consider gravity in 2+1 spacetime dimensions, with a negative cosmological constant and a ‘Barbero–Immirzi’ (B-I)-like parameter, when the spacetime topology is of the form . The phase space structure, both in covariant and canonical framework, is analyzed. Full quantization of the theory in the ‘constrain first’ approach reveals a finite-dimensional physical Hilbert space. An explicit construction of wavefunctions is presented. The dimension of the Hilbert space is found to depend on the ‘Barbero–Immirzi’-like parameter in an interesting fashion. A comparative study of this parameter in light of some of the recent findings in the literature for similar theories is presented.
Electroweak corrections to the direct detection cross section of inert Higgs dark matter

The inert higgs model is a minimal extension of the Standard Model that features a viable dark matter candidate, the so-called inert higgs ($H^0$). In this paper, we compute and analyze the dominant electroweak corrections to the direct detection cross section of dark matter within this model. These corrections arise from one-loop diagrams mediated by gauge bosons that, contrary to the tree-level result, do not depend on the unknown scalar coupling $\lambda$. We study in detail these contributions and show that they can modify in a significant way the prediction of the spin-independent direct detection cross section. In both viable regimes of the model, $\mh<M_W$ and $\mh\gtrsim 500 \gev$, we find regions where the cross section at one-loop is much larger than at tree-level. We also demonstrate that, over the entire viable parameter space of this model, these new contributions bring the spin-independent cross section within the reach of future direct detection experiments.
LINKS BETWEEN THE SHOCK INSTABILITY IN CORE-COLLAPSE SUPERNOVAE AND ASYMMETRIC ACCRETIONS OF ENVELOPES

The explosion mechanism of core-collapse supernovae (CCSNe) has not been fully understood yet, but multidimensional fluid instabilities such as standing accretion shock instability and convection are now believed to be crucial for shock revival. Another multidimensional effect that has been recently argued is the asymmetric structures in progenitors, which are induced by violent convections in silicon/oxygen layers that occur before the onset of collapse, as revealed by recent numerical simulations of the last stage of massive star evolutions. Furthermore, it has been also demonstrated numerically that accretions of such nonspherical envelopes could facilitate shock revival. These two multidimensional effects may hence hold a key to successful explosions. In this paper, we performed a linear stability analysis of the standing accretion shock in CCSNe, taking into account nonspherical, unsteady accretion flows onto the shock to clarify the possible links between the two effects. We found that such preshock perturbations can excite the fluid instabilities efficiently and hence help the shock revive in CCSNe.
Randomness of random networks: A random matrix analysis

We analyze complex networks under the random matrix theory framework. Particularly, we show that Δ3 statistics, which gives information about the long-range correlations among eigenvalues, provides a measure of randomness in networks. As networks deviate from the regular structure, Δ3 follows the random matrix prediction of logarithmic behavior (i.e., ) for longer scale.