Miracle-dz/UniFAR-FTUs huggingface dataset:
OBSERVED VARIABILITY AT 1 and 4 μm IN THE Y0 BROWN DWARF WISEP J173835.52+273258.9

We have monitored photometrically the Y0 brown dwarf WISEP J173835.52+273258.9 (W1738) at both near- and mid-infrared wavelengths. This ≲1 Gyr old 400 K dwarf is at a distance of 8 pc and has a mass around 5 MJupiter. We observed W1738 using two near-infrared filters at λ ≈ 1 μm, Y and J, on Gemini Observatory and two mid-infrared filters at λ ≈ 4 μm, [3.6] and [4.5], on the Spitzer observatory. Twenty-four hours were spent on the source by Spitzer on each of 2013 June 30 and October 30 UT. Between these observations, around 5 hr were spent on the source by Gemini on each of 2013 July 17 and August 23 UT. The mid-infrared light curves show significant evolution between the two observations separated by 4 months. We find that a double sinusoid can be fit to the [4.5] data, where one sinusoid has a period of 6.0 ± 0.1 hr and the other a period of 3.0 ± 0.1 hr. The near-infrared observations suggest variability with a ∼3.0 hr period, although only at a ≲2σ confidence level. We interpret our results as showing that the Y dwarf has a 6.0 ± 0.1 hr rotation period, with one or more large-scale surface features being the source of variability. The peak-to-peak amplitude of the light curve at [4.5] is 3%. The amplitude of the near-infrared variability, if real, may be as high as 5%–30%. Intriguingly, this size of variability and the wavelength dependence can be reproduced by atmospheric models that include patchy KCl and Na2S clouds and associated small changes in surface temperature. The small number of large features, as well as the timescale for evolution of the features, is very similar to what is seen in the atmospheres of the solar system gas giants.
Two Higgs doublet models with an $S_3$ symmetry

We study all implementations of the $S_3$ symmetry in the two Higgs doublet model with quarks, consistent with non-zero quark masses and a Cabibbo-Kobayashi-Maskawa (CKM) matrix which is not block diagonal. We study the impact of the various soft-breaking terms and vacuum expectation values, and find an interesting relation between $\alpha$ and $\beta$. We also show that, in this minimal setting, only two types of assignments are possible: either all field sectors are in singlets or all field sectors have a doublet.
Chemo-mechanical instabilities in polarizable active layers

We formulate and explore a generic continuum model of a polarizable active layer with neo-Hookean elasticity and chemo-mechanical interactions. Homogeneous solutions of the model equations exhibit a stationary long-wave instability when the medium is activated by expansion, and an oscillatory short-wave instability in the case of compressive activation. Both regimes are investigated analytically and numerically. The long-wave instability initiates a coarsening process, which provides a possible mechanism for the establishment of permanent polarization in spherical geometry.
Evidence for a charge collective mode associated with superconductivity in copper oxides from neutron and x-ray scattering measurements of La2-xSrxCuO4

In superconducting copper oxides, some Cu-O bond-stretching phonons around 70 meV show anomalous giant softening and broadening of electronic origin, and electronic dispersions have large renormalization kinks near the same energy. These observations suggest that phonon broadening originates from quasiparticle excitations across the Fermi surface and the electronic dispersion kinks originate from coupling to anomalous phonons. We measured the phonon anomaly in underdoped ($x=0.05$) and overdoped ($x=0.20$ and 0.25) La${}_{2\ensuremath{-}x}$Sr${}_{x}$CuO${}_{4}$ by inelastic neutron and x-ray scattering with high resolution. Combining these and previously published data, we found that doping dependence of the magnitude of the giant phonon anomaly is very different from that of the ARPES kink, i.e., the two phenomena are not connected. We show that these results provide indirect evidence that the phonon anomaly originates from novel collective charge excitations as opposed to interactions with electron-hole pairs. Their amplitude follows the superconducting dome so these charge modes may be important for superconductivity.
The formation of a thick disk through the heating of a thin disk: Agreement with orbital eccentricities of stars in the solar neighborhood

We study the distribution of orbital eccentricities of stars in thick disks generated by the heating of a pre-existing thin stellar disk through a minor merger (mass ratio 1:10), using N-body/SPH numerical simulations of interactions that span a range of gas fractions in the primary disk and initial orbital configurations. The resulting eccentricity distributions have an approximately triangular shape, with a peak at 0.2-0.35, and a relatively smooth decline towards higher values. Stars originally in the satellite galaxy tend to have higher eccentricities (on average from e = 0.45 to e = 0.75), which is in general agreement with the models of Sales and collaborators, although in detail we find fewer stars with extreme values and no evidence of their secondary peak around e = 0.8. The absence of this high-eccentricity feature results in a distribution that qualitatively matches the observations. Moreover, the increase in the orbital eccentricities of stars in the solar neighborhood with vertical distance from the Galactic mid-plane found by Dierickx and collaborators can be qualitatively reproduced by our models, but only if the satellite is accreted onto a direct orbit. We thus speculate that if minor mergers were the dominant means of forming the Milky Way thick disk, the primary mechanism should be merging with satellite(s) on direct orbits.
New Deep Learning-Based Passenger Flow Prediction Model

The ability to predict passenger flow in transport networks is an important aspect of public transport management. It helps improve transport services, aids those responsible for management to obtain early warning signals of emergencies and unusual circumstances and, in general, makes cities smarter and safer. This paper develops a long short-term memory-based (LTSM-based) deep learning model to predict short-term transit passenger volume on transport routes in Istanbul. This prediction model has been created using a dataset that included the number of people who used different transit routes in Istanbul at one-hour intervals between January and December 2020. The proposed multilayer LSTM-based deep learning model has been compared with popular models such as random forest (RF), support vector machines, autoregressive integrated moving average, multilayer perceptron, and convolutional neural network. The experimental findings showed that the proposed multilayer LSTM-based deep learning model outperformed the other models with regard to prediction for each transfer route. Furthermore, RF, one of the machine learning models used, produced remarkably successful results.
Energy-Saving Routing Protocols for Smart Cities

In recent decades, expansion in urban areas has faced issues such as management of public waste, noise, mobility, and air quality, among others. In this scenario, Internet of Things (IoT) and Wireless Sensor Network (WSN) scenarios are being considered for Smart Cities solutions based on the deployment of wireless remote sensor nodes to monitor large urban areas. However, as the number of nodes increases, the amount of data to be routed increases significantly as well, meaning that the choice of the data routing process has great importance in terms of the energy consumption and lifetime of the network. In this work, we describe and evaluate the energy consumption of routing protocols for WSN-based Smart Cities applications in LoRa-based mesh networks, then propose a novel energy-saving radio power adjustment (RPA) routing protocol. The Cupcarbon network simulator was used to evaluate the performance of different routing protocols in terms of their data package delivery rate, average end-to-end delay, average jitter, throughput, and load consumption of battery charge. Additionally, a novel tool for determining the range of nodes based on the Egli propagation model was designed and integrated into Cupcarbon. The routing protocols used in this work are Ad Hoc On-Demand Distance Vector (AODV), Dynamic Source Routing (DSR), and Distance Vector Routing (DVR). Our simulation results show that AODV presents the best overall performance, DSR achieves the best results for power consumption, and DVR is the best protocol in terms of latency. Finally, the proposed RPA routing protocol presents power savings of 11.32% compared to the original DSR protocol.
PASSIVE AND STAR-FORMING GALAXIES AT 1.4 ⩽ z ⩽ 2.5 IN THE AEGIS FIELD

Using a simple two-color selection based on g-, z-, and K-band photometry, we choose from 1609 star-forming galaxies (sgzKs) and 422 passively evolving galaxies (pgzKs) at z ∼ 2 from a K-band-selected sample (KAB < 22.0) in an area of ∼0.44 deg2 of the All-wavelength Extended Groth Strip International Survey. The number of counts of pgzKs in our sample turn over at KAB ∼ 21.0, and both the number of faint and bright objects (including sgzKs and pgzKs) exceed the predictions of a recent semi-analytic model of galaxy formation; a more successful model is need to explain this diversity. We also find that the star formation rate (SFR) and specific SFR (sSFR) of sgzKs increases with redshift at all masses, implying that star-forming galaxies were much more active on average in the past. Moreover, the sSFR of massive galaxies is lower at all redshifts, suggesting that star formation contributes more to the mass growth of low-mass galaxies than to high-mass galaxies. From the Hubble Space Telescope Wide Field Camera 3 near-infrared imaging data we find that morphologies of z ∼ 2 galaxies not only have diffuse structures with lower G and higher M20 values, but also have single-object morphologies (higher G and lower M20), implying that there are morphological variety and different formation process for these galaxies at z ∼ 2. Finally, we also study the fraction of active galactic nuclei (AGNs) in the gzKs, 82 of 828 gzKs with four IRAC bands can be classified as AGNs (∼10%). Most of these AGN candidates have L0.5–10 keV > 1041 erg s−1.
Refraction of geodesics by impulsive spherical gravitational waves in constant-curvature spacetimes with a cosmological constant

We investigate motion of test particles in exact spacetimes with an expanding impulsive gravitational wave which propagates in a Minkowski, a de Sitter, or an anti-de Sitter universe. Using the continuous form of these metrics we derive explicit junction conditions and simple refraction formulas for null, timelike, and spacelike geodesics crossing a general impulse of this type. In particular, we present a detailed geometrical description of the motion of test particles in a special class of axially symmetric spacetimes in which the impulse is generated by a snapped cosmic string.
PG 1002+506: a Be Star Apparently at Z Greater Than +10 kpc

PG 1002+506 is found to be a Be star, one of two so far found by the Palomar-Green survey. Its spectrum is classified as a B5 +/- 1 Ve, with Teff = 14,900 +/- 1200, log g = 4.2 +/- 0.2, and v sin i = 340 +/- 50 km/s. At b = +51 degrees, its height above the Galactic plane would therefore be Z = +10.8 kpc, putting this apparently young, rapidly rotating star well into the Galactic halo. Its heliocentric radial velocity is found to be -2 +/- 15 km/s, consistent with either having been formed in the Galactic disk and subsequently ejected, or having been formed in the halo.
Surface term, Virasoro algebra, and Wald entropy of black holes in higher-curvature gravity

Recently, in the Einstein gravity, Majhi and Padmanabhan proposed a straightforward and transparent way of obtaining the Bekenstein-Hawking entropy by using an approach based on the Virasoro algebra and central charge. In this work, we generalize their approach to the modified gravity with higher-curvature corrections and show that their approach can successfully lead to the corresponding Wald entropy in the higher-curvature gravity. Our result shows that the approach is physically general.
Locating the TeV-excess from the Galactic Centre region

Gamma‐ray experiments using the imaging atmospheric Cherenkov technique have an angular resolution of typically better than 0.1° per event in stereoscopic mode. The centroid of a point‐source emitter, however, can be determined with higher precision, down to a few arcseconds for strong sources. This is of special interest when an excess could be due to several potential sources in the field of view. Here it is shown that H.E. S.S. achieves a pointing precision of 10 to 20 arcseconds by means of a mechanical pointing model. This is demonstrated by reconstructing the position of the AGN PKS 2155‐304, which is a point source emitter with a priori known position. The high precision allows to show that the TeV signal from the galactic centre region is consistent with the position of the galactic centre Sgr A*.
Localization-Delocalization Transition and Current Fractalization

We develop an analytical theory of the localization-delocalization transition for a disordered Bose system, focusing on a Cooper-pair insulator. We consider a chain of small superconducting granules coupled via Josephson links and show that the low-temperature tunnelling transport of Cooper pairs is mediated by a self-generated environment of dipole excitations comprised of the same particles as the tunnelling charge carriers in accord with the early notion by Fleishman, Licciardello, and Anderson. We derive an analytical expression for the current-voltage characteristic and find that at temperatures, T, below the the charging energy of a single junction, E_c, the dc transport is completely locked by Coulomb blockade effect at all voltages except for a discrete set of resonant ones. At T>E_c the combined action of disorder and temperature unlocks the charge transport, since the environment excitation spectrum becomes quasi-continuous according to a Landau-Hopf-like scenario of turbulence, and the conductivity acquires an Arrhenius-like thermal activation form. The transition from the localized to delocalized behaviour occurs at T=E_c which corresponds to the onset of turbulence in the spectral flow of environmental excitations with Reynolds number Re=(k_B T/E_c)=1. The proposed theory breaks ground for a quantitative description of dynamic and quantum phase transitions in a wealth of physical systems ranging from cold atoms in optical lattices, through disordered films and wires to granular and nanopatterned materials.
Quark Confinement in Restricted SU(2) Gauge Theory

We apply Zwanziger formalism to Cho restricted $ SU(2) $ theory to obtain the potential in a static quark-antiquark pair. Cho restricted theory is a self-consistent subset of a non-Abelian $ SU(2) $ gauge theory which tries to describe the infrared regime of Yang-Mills gauge theories. In Zwanziger formalism, a local Lagrangian depending on two electric and magnetic gauge fields is constructed for the theories where both electric and magnetic charges exist. Based on this local Lagrangian the propagator and then the potential between quarks is calculated in two limits: $ m_{C} r \ll 1 $ and $ m_{C} r \gg 1$, where $ m_{C} $ is the mass of the dual gauge boson and $ r $ is the distance between the quark and the antiquark.
Aspergillus oryzae attenuates quorum sensing -associated virulence factors and biofilm formation in Klebsiella pneumoniae extended-spectrum beta-lactamases

Background: Klebsiella pneumoniae communicate between and among species using quorum sensing (QS). Biofilm formation and virulence factors are regulated by QS. This QS is indirectly responsible for K. pneumoniae pathogenicity. Inhibiting QS is a novel and highly effective method for controlling K. pneumoniae extended-spectrum beta-lactamases (KP-ESBL) infections. This study aimed to investigate how Aspergillus oryzae extracellular protein (AOEP) affected QS and KP-ESBL virulence factors. Methods: Methods used included minimal inhibitory concentration (MIC) through the microdilution method, biofilms with crystal violet staining, extracellular polysaccharides using the Congo Red assay, quantifying the expression of genes coding for capsular polysaccharide (wzI gene) and adhesion (mrkA gene) through quantitative reverse-transcription polymerase chain reaction (RT-qPCR), siderophore level measurement using Chrome Azurol sulphonate assay (CAS assay), biofilm morphology using a scanning electron microscope (SEM), and confirmation using the life span killing assay method on Caenorhabditis elegans (C. elegans). Results: In vitro studies revealed that AOEP inhibited biofilms and exopolysaccharides (EPS) in KP-ESBL at the sub-MIC level. In addition, AOEP inhibited the expression of the mrkA gene, which is involved in the adhesion process. Furthermore, an in vivo study revealed that AOEP levels of 75 and 150 µg/mL respectively increased C. elegans survival rates by 72.67% and 80.76% against K. pneumoniae infection. Conclusions: Our findings suggest that the extracellular protein of A. oryzae may be an effective QS inhibitor and a novel anti-virulence agent to control bacterial pathogens.
Misaligned streamers around a Galactic Centre black hole from a single cloud's infall

We follow the near radial infall of a prolate cloud on to a 4 x 10(6) M-circle dot supermassive black hole in the Galactic Centre using smoothed particle hydrodynamics. We show that a prolate cloud oriented perpendicular to its orbital plane naturally produces a spread in angular momenta in the gas which can translate into misaligned discs as is seen in the young stars orbiting Sagittarius A*. A turbulent or otherwise highly structured cloud is necessary to avoid cancelling too much angular momentum through shocks at closest approach. Our standard model of a 2 x 10(4) M-circle dot gas cloud brought about the formation of a disc within 0.3 pc from the black hole and a larger, misaligned streamer at 0.5 pc. A total of 1.5 x 10(4) M-circle dot of gas formed these structures. Our exploration of the simulation parameter space showed that when star formation occurred, it resulted in top-heavy initial mass functions with stars on eccentric orbits with semi-major axes 0.02-0.3 pc and inclinations following the gas discs and streamers. We suggest that the single event of an infalling prolate cloud can explain the occurrence of multiple misaligned discs of young stars. (Less)
Andreev reflection through Fano resonances in molecular wires

Received 6 November 2008; published 23 February 2009We study Andreev reﬂection in a normal conductor-molecule-superconductor junction using a ﬁrst-principlesapproach. In particular, we focus on a family of molecules consisting of a molecular backbone and a weaklycoupled side group. We show that the presence of the side group can lead to a Fano resonance in the Andreevreﬂection. We use a simple theoretical model to explain the results of the numerical calculations and to makepredictions about the possible subgap resonance structures in the Andreev reﬂection coefﬁcient. DOI: 10.1103/PhysRevB.79. 075119 PACS number s : 73.63. b, 74.45. c
Cooperative Spectrum Sensing in Cognitive Radio Networks via an Adaptive Gaussian Mixture Model Based on Machine Learning

Spectrum resources are becoming extremely scarce in modern wireless communication. However, the majority of the currently available spectrum resources have not been fully utilized. To mitigate this problem, we suggested Machine learning-based Adaptive Gaussian Mixture Model (AGMM) for cooperative spectrum sensing in cognitive radio networks for pattern classification. We employ the energy level of secondary users to build a feature vector in the proposed method. The training feature vectors for classification are well defined by a combination of Gaussian density functions that are obtained using the proposed method. The proposed method performance is evaluated in terms of accuracy, recall, F1 score, and Receiver Operating Characteristics (ROC) curves. The performance parameters of the proposed method are compared to the existing K-mean clustering approach. As evidenced by the results, the proposed method performs better than an existing method in all comparison parameters, according to the simulation findings in the MATLAB version.
Large scale instance segmentation of outdoor environment based on improved YOLACT

Instance segmentation is a challenging task that requires both instance‐level and pixel‐level prediction and it has a wide range of applications in autonomous driving, video analysis, scene understandingand so on. The currently dominant instance segmentation methods have excellent accuracy, but they are slow, and the processing speed will be even less satisfactory if the input is a large‐scale image. In order to improve the efficiency and accuracy of instance segmentation of large‐scale images, this article modifies the backbone network based on YOLACT network, adds a multi‐information fusion module and provides an improved BiFPN method to achieve multi‐scale feature fusion, while adding two branches to the first level detector RetinaNet to achieve instance segmentation. The network model is tested on Cityscapes dataset and the results of the experiments show that the improved instance segmentation network in this article improves the accuracy while ensuring the speed of segmentation. The optimized network model size was reduced by 17% compared to YOLACT, and the mAP, mAP50, and mAP75 were improved by 18.3%, 32.1%, and 24.6%, respectively.
A Candidate Therapeutic Monoclonal Antibody Inhibits Both HRSV and HMPV Replication in Mice

Human metapneumovirus (HMPV) and human respiratory virus (HRSV) are two leading causes of acute respiratory tract infection in young children. While there is no licensed drug against HMPV, the monoclonal antibody (mAb) Palivizumab is approved against HRSV for prophylaxis use only. Novel therapeutics against both viruses are therefore needed. Here, we describe the identification of human mAbs targeting these viruses by using flow cytometry-based cell sorting. One hundred and two antibodies were initially identified from flow cytometry-based cell sorting as binding to the fusion protein from HRSV, HMPV or both. Of those, 95 were successfully produced in plants, purified and characterized for binding activity by ELISA and neutralization assays as well as by inhibition of virus replication in mice. Twenty-two highly reactive mAbs targeting either HRSV or HMPV were isolated. Of these, three mAbs inhibited replication in vivo of a single virus while one mAb could reduce both HRSV and HMPV titers in the lung. Overall, this study identifies several human mAbs with virus-specific therapeutic potential and a unique mAb with inhibitory activities against both HRSV and HMPV.