Miracle-dz/UniFAR-FTUs huggingface dataset:
A cluster of class I/f/II young stellar objects discovered near the Cepheid SU Cas

Preliminary constraints are placed on a cluster of young stellar objects (J2000 02:54:31.4 +69:20:32.5) discovered in the field of the classical Cepheid SU Cas. The Wide-field Infrared Survey Explorer (WISE) 3.4-, 4.6-, 12- and 22-µm images reveal that the cluster deviates from spherical symmetry and exhibits an apparent diameter of 3 × 6 arcmin. Spectral energy distributions constructed using the Two Micron All Sky Survey (2MASS) Ks (2.2µm) and WISE photometry indicate that 19 (36 per cent) class I, 21 (40 per cent) class f and 13 (25 per cent) class II objects lie r 3a rcmin. Approximately 50 per cent of the class I sources within r < 3 arcmin were classified solely using WISE photometry owing to the absence of detections by 2MASS.
Classification on Speech Emotion Recognition - A Comparative Study

- In this paper we present a comparative analysis of four classifiers for speech signal emotion recognition. Recognition was performed on emotional Berlin Database. This work focuses on speaker and utterance (phrase) dependent and independent framework. One hundred thirty three (133) sound/speech features have been extracted from Pitch, Mel Frequency Cepstral Coefficients, Energy and Formants. These features have been evaluated in order to create a set of 26 features, sufficient to discriminate between seven emotions in acted speech. Multilayer Percepton, Random Forest, Probabilistic Neural Networks and Support Vector Machine were used for the Emotion Classification at seven classes namely anger, happiness, anxiety/fear, sadness, boredom, disgust and neutral. In the speaker dependent framework, Probabilistic Neural Network reaches very high accuracy(94%), while in the speaker independent framework the classification rate of the Support Vector Machine reaches 80%. The results of numerical experiments are given and discussed in the paper .
Anchor: A Stable Matching Framework for Managing Cloud Resources

—Cloud computing infrastructures need an effective way to manage server resources so that performance can be improved and costs can be reduced. Current solutions are proprietary and not customizable. In this paper, we present Anchor , a new resource management architecture that uses the stable matching framework to decouple policies from mechanisms when mapping virtual machines to physical servers. In Anchor , cloud clients and operators are able to express a wide variety of distinct resource management policies as they deem ﬁt, and these policies are expressed as preferences in a stable matching framework. The highlight of Anchor is a new many-to-one stable matching theory that efﬁciently matches multiple VMs with heterogeneous resource needs to their servers, using a multi-stage deferred acceptance algorithm to resolve conﬂicts of interest. Our theoretical analysis shows the convergence and optimality of the algorithm. Our experiments with a prototype Anchor implementation and large-scale simulations demonstrate that the architecture is general enough to realize a diverse set of policy objectives, while providing superior performance and practicality.
DDDT_A_266062 3509..3518

*These authors contributed equally to this work Objective: Propofol for procedural sedation and analgesia (PSA) for colonoscopy can result in a high prevalence of severe respiratory depression. Studies have shown that intravenous (IV) infusion of lidocaine can reduce propofol requirements significantly and increase the ventilatory response to carbon dioxide in humans. We tested the hypothesis that IV lidocaine could improve propofol-induced respiratory depression in obese patients during colonoscopy. Methods: Ninety obese patients scheduled for painless colonoscopy were randomized to receive lidocaine (1.5 mg/kg, then 2 mg/kg/h, IV) or the same volume of 0.9% saline. Intraoperative sedation was provided by propofol. The primary outcome was the number of oxygen-desaturation episodes. Secondary outcomes were: the number of apnea episodes; total propofol consumption; time to the first hypoxia episode; time to consciousness loss; intraoperative hemodynamic parameters; awakening time; adverse events; duration of postanesthesia care unit (PACU) stay; satisfaction of endoscopists and patients. Results: Demographic characteristics between the two groups were comparable. The number of oxygen-desaturation episodes in group L (1.49±1.12) decreased by 0.622 (P=0.018) compared with that in group N (2.11±1.32), and the number of apnea episodes in group L decreased by 0.533 (P<0.001). Kaplan–Meier curves showed that the median time to the first hypoxia episode was longer in group L (86.78 s) than that in group N (63.83 s) (Log rank P=0.0008). The total propofol consumption, awakening time, and duration of PACU stay were reduced in group L. There was no significant difference in the prevalence of adverse events (P>0.05 for all). Satisfaction scores for endoscopists and patients in group L were higher than that in group N (P<0.001). Conclusion: Intravenous infusion of lidocaine could significantly reduce the number of oxygen-desaturation and apnea episodes in obese patients during painless colonoscopy. This method is worthy of clinical promotion. Clinical Trials Registration: ChiCTR2000028937.
OFDM Wideband DOA System for Detecting and Tracking Vehicles Applications

— This work proposes a new angle of arrival method for tracking applications using compact omni-directional spiral antenna arrays. The impact of mutual coupling is considered within the covariance matrix calculation and then a suitable decoupling method is used to remove such effect. An urban area consisting of many buildings with different heights and characterized by various materials was modelled using Wireless In-Site Software to extract the impulse response of the channel between non-stationary locations of the transmitted target and the receiver antenna array. Orthogonal Frequency Division Multiplexing (OFDM) scheme based on wideband spectrum is integrated with the proposed angle of arrival to improve the estimation accuracy. MATLAB code is developed to simulate the above conditions and the experiment results are presented and discussed.
Visualisation of matrix product: using light to clarify an abstract mathematical concept

Teaching the noncommutativity of the product of matrices to high school or college level students is a difficult task when approached from a purely formal perspective. The aim of this paper is to present a simple experimental activity for teaching the noncommutativity of the matrix product, based on the Jones calculus, a mathematical formalism for describing polarised light by means of matrices and vectors. This activity can also be useful to introduce students to the use of matrices in physics, and to illustrate how abstract mathematics can become a powerful tool to help us explain and describe the real world.
Non-mean-field Vicsek-type models for collective behaviour

We consider interacting particle dynamics with Vicsek type interactions, and their macroscopic PDE limit, in the non-mean-ﬁeld regime; that is, we consider the case in which each particle/agent in the system interacts only with a prescribed subset of the particles in the system (for example, those within a certain distance). In this non-mean-ﬁeld regime the inﬂuence between agents (i.e. the interaction term) can be normalised either by the total number of agents in the system ( global scaling ) or by the number of agents with which the particle is eﬀectively interacting ( local scaling ). We compare the behaviour of the globally scaled and the locally scaled systems in many respects, considering for each scaling both the PDE and the corresponding particle model. In particular we observe that both the locally and globally scaled particle system exhibit pattern formation (i.e. formation of travelling-wave-like solutions) within certain parameter regimes, and generally display similar dynamics. The same is not true of the corresponding PDE models. Indeed, while both PDE models have multiple stationary states, for the globally scaled PDE such (space-homogeneous) equilibria are unstable for certain parameter regimes, with the instability leading to travelling wave solutions, while they are always stable for the locally scaled one, which never produces travelling waves. This observation is based on a careful numerical study of the model, supported by further analysis. simulation value N for
Two-Timescale Stochastic Approximation for Bilevel Optimisation Problems in Continuous-Time Models

We analyse the asymptotic properties of a continuous-time, two-timescale stochastic approximation algorithm designed for stochastic bilevel optimisation problems in continuous-time models. We obtain the weak convergence rate of this algorithm in the form of a central limit theorem. We also demonstrate how this algorithm can be applied to several continuous-time bilevel optimisation problems.
Hybrid Projection Methods for Solution Decomposition in Large-scale Bayesian Inverse Problems

We develop hybrid projection methods for computing solutions to large-scale inverse problems, where the solution represents a sum of different stochastic components. Such scenarios arise in many imaging applications (e.g., anomaly detection in atmospheric emissions tomography) where the reconstructed solution can be represented as a combination of two or more components and each component contains different smoothness or stochastic properties. In a deterministic inversion or inverse modeling framework, these assumptions correspond to different regularization terms for each solution in the sum. Although various prior assumptions can be included in our framework, we focus on the scenario where the solution is a sum of a sparse solution and a smooth solution. For computing solution estimates, we develop hybrid projection methods for solution decomposition that are based on a combined flexible and generalized Golub-Kahan processes. This approach integrates techniques from the generalized Golub-Kahan bidiagonalization and the flexible Krylov methods. The benefits of the proposed methods are that the decomposition of the solution can be done iteratively, and the regularization terms and regularization parameters are adaptively chosen at each iteration. Numerical results from photoacoustic tomography and atmospheric inverse modeling demonstrate the potential for these methods to be used for anomaly detection.
The Cortical V1 Transform as a Heterogeneous Poisson Problem

Receptive profiles of V1 cortical cells are very heterogeneous and act by differentiating the stimulus image as operators changing from point to point. A lightness and color constancy image can be reconstructed as the solution of the associated inverse problem, that is a Poisson equation with heterogeneous differential operators. At the neural level the weights of short range connectivity constitute the fundamental solution of the Poisson problem adapted point by point. A first demonstration of convergence of the result towards homogeneous reconstructions is proposed by means of homogenisation techniques.
Two- and Three-Dimensional Fast Intrawall Imaging with Microwave Tomographic Algorithm

A fast and efficient microwave tomographic algorithm is proposed for 2-D and 3-D real-time intrawall imaging. The exploding reflection model is utilized to simplify the imaging formulation, and the half-space Green’s function is expanded in the spectral domain to facilitate the easy implementation of the imaging algorithm with the fast Fourier transform (FFT) and inverse fast Fourier transform (IFFT). The linearization of the inversion scheme and employment of FFT/IFFT in the imaging formula make the algorithm suitable for various applications pertaining to the inspection of a large probed region and allow real-time processing. Representative numerical and experimental results are presented to show the effectiveness and efficiency of the proposed algorithm for real-time intrawall characterization.
Experimental-schemes-based non-Gaussian operations in continuous variable quantum teleportation

We undertake a comprehensive study of quantum teleportation using non-Gaussian entangled resource states produced by performing non-Gaussian operations on a two-mode squeezed vacuum (TMSV) state. These non-Gaussian operations include photon subtraction, photon addition, and photon catalysis and are performed via heralding schemes using photon number resolving detectors. Since these schemes produce non-Gaussian states probabilistically, it is necessary to consider the success probability. We ﬁrst derive a uniﬁed expression for the Wigner characteristic function describing the photon subtracted, added, and catalyzed TMSV states. We then utilize it to obtain the ﬁdelity of teleporting input coherent and squeezed vacuum states. Considering the success probability allows us to ﬁnd the most advantageous non-Gaussian operations along with the associated optimal squeezing and beam splitter transmissivity parameters. It turns out that the symmetric one-photon subtracted TMSV state is most advantageous for teleporting input coherent and squeezed vacuum states. We expect the derived Wigner characteristic function to be useful in the state characterization and other quantum protocols.
Creating a Secure Underlay for the Internet

Adversaries can exploit inter-domain routing vulnerabilities to intercept communication and compromise the security of critical Internet applications. Meanwhile the deployment of secure routing solutions such as Border Gateway Protocol Security (BGPsec) and Scalability, Control and Isolation On Next-generation networks (SCION) are still limited. How can we leverage emerging secure routing backbones and extend their security properties to the broader Internet? We design and deploy an architecture to bootstrap secure routing. Our key insight is to abstract the secure routing backbone as a virtual Autonomous System (AS), called Secure Backbone AS (SBAS). While SBAS appears as one AS to the Internet, it is a federated network where routes are exchanged between participants using a secure backbone. SBAS makes BGP announcements for its customers' IP prefixes at multiple locations (referred to as Points of Presence or PoPs) allowing traffic from non-participating hosts to be routed to a nearby SBAS PoP (where it is then routed over the secure backbone to the true prefix owner). In this manner, we are the first to integrate a federated secure non-BGP routing backbone with the BGP-speaking Internet. We present a real-world deployment of our architecture that uses SCIONLab to emulate the secure backbone and the PEERING framework to make BGP announcements to the Internet. A combination of real-world attacks and Internet-scale simulations shows that SBAS substantially reduces the threat of routing attacks. Finally, we survey network operators to better understand optimal governance and incentive models.
A note on the point-wise behaviour of bounded solutions for a non-standard elliptic operator

<p style='text-indent:20px;'>In this brief note we discuss local Hölder continuity for solutions to anisotropic elliptic equations of the type</p><p style='text-indent:20px;'><disp-formula> <label/> <tex-math id="FE1"> \begin{document}$ \begin{equation*} \label{prototype} \sum\limits_{i = 1}^s \partial_{ii} u+ \sum\limits_{i = s+1}^N \partial_i \bigg(A_i(x, u, \nabla u) \bigg) = 0, \quad x \in \Omega \subset \subset \mathbb R^N \quad \text{ for } \quad 1\leq s \leq N-1, \end{equation*} $\end{document} </tex-math></disp-formula></p><p style='text-indent:20px;'>where each operator <inline-formula><tex-math id="M1">\begin{document}$ A_i $\end{document}</tex-math></inline-formula> behaves directionally as the singular <inline-formula><tex-math id="M2">\begin{document}$ p $\end{document}</tex-math></inline-formula>-Laplacian, <inline-formula><tex-math id="M3">\begin{document}$ 1< p < 2 $\end{document}</tex-math></inline-formula> and the supercritical condition <inline-formula><tex-math id="M4">\begin{document}$ p+(N-s)(p-2)>0 $\end{document}</tex-math></inline-formula> holds true. We show that the Harnack inequality can be proved without the continuity of solutions and that in turn this implies Hölder continuity of solutions. </p>
Filtrations and torsion pairs in Abramovich Polishchuk's heart

We study some abelian subcategories and torsion pairs in Abramovich Polishchuk’s heart. And we apply the construction from [Liu21] on a full triangulated subcategory D ≤ 1 S in D ( X × S ), for an arbitrary smooth projective variety S . We also deﬁne a notion of l -th level stability, which is a generalization of the slope stability and the Gieseker stability. We show that for any object E in Abramovich Polishchuk’s heart, there is a unique ﬁltration whose factors are l -th level semistable, and the phase vectors are decreasing in a lexicographic order.
Distributed Coordination of Charging Stations Considering Aggregate EV Power Flexibility

In recent years, electric vehicle (EV) charging stations have witnessed rapid growth. However, effective management of charging stations is challenging due to individual EV owners' privacy concerns, competing interests of different stations, and the coupling distribution network constraints. To cope with this challenge, this paper proposes a two-stage scheme. In the first stage, the aggregate EV power flexibility region is derived by solving an optimization problem. We prove that any trajectory within the obtained region corresponds to at least one feasible EV dispatch strategy. By submitting this flexibility region instead of the detailed EV data to the charging station operator, EV owners' privacy can be preserved and the computational burden can be reduced. In the second stage, a distributed coordination mechanism with a clear physical interpretation is developed considering the AC power flow based network constraints. We prove that the proposed mechanism converges to the centralized optimum. Case studies validate the theoretical results. Comprehensive performance comparisons are carried out to demonstrate the advantages of the proposed scheme.
Grad-GradaGrad? A Non-Monotone Adaptive Stochastic Gradient Method

The classical AdaGrad method adapts the learning rate by dividing by the square root of a sum of squared gradients. Because this sum on the denominator is increasing, the method can only decrease step sizes over time, and requires a learning rate scaling hyper-parameter to be carefully tuned. To overcome this restriction, we introduce GradaGrad, a method in the same family that naturally grows or shrinks the learning rate based on a different accumulation in the denominator, one that can both increase and decrease. We show that it obeys a similar convergence rate as AdaGrad and demonstrate its non-monotone adaptation capability with experiments.
Role of particle local curvature in cellular wrapping

Cellular uptake through membranes plays an important role in adsorbing nutrients and fighting infection and can be used for nanomedicine developments. Endocytosis is one of the pathways of cellular uptake which associate with elastic deformation of the membrane wrapping around the foreign particle. The deformability of the membrane is strongly regulated by the presence of a cortical cytoskeleton placed underneath the membrane. It is shown that shape and orientation of the particles influence on their internalization. Here, we study the role of particle local curvature in cellular uptake by investigating the wrapping of an elastic membrane around a long cylindrical object with an elliptical cross-section. The membrane itself is adhered to a substrate mimicking the cytoskeleton. Membrane wrapping proceeds differently whether the initial contact occurs at the target’s highly curved part (vertical) or along its long side (horizontal). We obtain a wrapping phase diagram as a function of the membrane-cytoskeleton and the membrane-target adhesion energy, which includes three distinct regimes (unwrapped, partially wrapped and fully wrapped), separated by two phase transitions. We also provide analytical expressions for the boundaries between the different regimes which confirm that the transitions strongly depend on the orientation and aspect ratio of the nanowire.
Hearing Impairment Simulator Based on Auditory Excitation Pattern Playback: WHIS

A new version of the Wakayama-University Hearing Impairment Simulator (WHIS) was developed based on the idea of auditory excitation pattern (EP) playback instead of direct simulation of loudness recruitment in conventional methods. The EPs of normal hearing (NH) and hearing impaired (HI) listeners were computed using a frame-based version of the gammachirp filterbank (GCFB), in which the cochlear input-output (IO) function was controlled by a parameter called the compression health $\alpha $ . WHIS synthesizes simulated hearing loss (HL) sounds to make the EPs of an NH listener sufficiently close to the EPs of a target HI listener by applying active and passive level reduction to the input signals. Active reduction can be simply formulated as the composite function of the IO function of HI and the inverse NH IO function of NH. Passive reduction was determined to maintain the hearing level shown in the audiogram of the HI listener. Two methods were proposed for sound synthesis: a direct time-varying filter method and a filterbank analysis-synthesis method. WHIS was compared with a Cambridge version of the HL simulator (CamHLS) in terms of differences in the IO functions and spectral distances in the EP spectrograms. WHIS yielded smaller distances than CamHLS, suggesting that EP playback is an effective method for HL simulations.
Searching for Variable Stars in the Open Cluster NGC 2355 and Its Surrounding Region

We have investigated the variable stars in the field surrounding NGC 2355 based on the time-series photometric observation data. More than 3000 CCD frames were obtained in the V band spread over 13 nights with the Nanshan One-meter Wide-field Telescope. We have detected 88 variable stars, containing 72 new variable stars and 16 known variable stars. By analyzing these light curves, we classified the variable stars as follows: 26 eclipsing binaries, 52 pulsating stars, four rotating variables, and six unclear type-variable stars for which their periods are much longer than the time baseline chosen. Employing Gaia DR2 parallax, kinematics, and photometry, the cluster memberships of these variable stars were also analyzed for NGC 2355. In addition to the 11 variable members reported by Cantat-Gaudin et al. (2018), we identify four more variable member candidates located at the outer region of NGC 2355 and showed homogeneity in space positions and kinematic properties with the cluster members. The main physical parameters of NGC 2355 estimated from the two-color and color–magnitude diagrams are log(age/yr) = 8.9, E(B − V) = 0.24 mag, and [Fe/H] = −0.07 dex.