Miracle-dz/UniFAR-FTUs huggingface dataset:
Dynamics Beyond Uniform Hyperbolicity: A Global Geometric and Probabilistic Perspective

Hyperbolicity and Beyond. - One-Dimensional Dynamics. - Homoclinic Tangencies. - Henon-like Dynamics. - Non-Critical Dynamics and Hyperbolicity. - Heterodimensional Cycles and Blenders. - Robust Transitivity. - Stable Ergodicity. - Robust Singular Dynamics. - Generic Diffeomorphisms. - SRB Measures and Gibbs States. - Lyapunov Exponents.
Analysis of the Complementarity of Latent and Concept Spaces for Cross-Modal Video Search

This paper focuses on studying the complementarity between the spaces from hybrid cross-modal state-of-the-art systems for video retrieval like [5]. We aim at investigating if these spaces really convey different features, or if they are representing the same things. We use PCA (Principal Component Analysis) to study the optimal dimensions, CCA (Canonical Correlation Analysis) to assess the similarity of the spaces, and check if such approach is in fact similar to ensemble learning. We achieve experiments on the MST-VTT corpus, and show that in fact these two spaces are indeed very similar, paving the way for new models that could enforce more dissimilar spaces.
Performance Based Evaluation of Cricothyroidotomy Simulators for Training

The U.S. military has become increasingly reliant on simulators to train combat medical personnel. Human patient simulators that exist for training medical procedures represent task elements with varying degrees of fidelity. The goal of this research was to evaluate the functional fidelity of two commonly used simulators to train surgical cricothyroidotomy to experienced participants. Following a task analysis informed by experts, we collected performance training and test data from 14 experienced trainees. Each participant performed surgical cricothyroidotomies on porcine tracheas before and after five training sessions using one of two simulators. Comparisons of procedure completion times and errors showed development of task mastery by members of both training groups. Analyses of transfer of training from the final training session to the porcine posttest suggested that experienced participants were sensitive to differences between the training simulators and conditions of the posttest. Implications are presented as they relate to the use of simulation technologies for training cricothyroidotomy and the application of a standard method for fidelity assessment.
xtusreg: Software for dynamic panel regression under irregular time spacing

We introduce a new command, xtusreg, that estimates parameters of fixed-effects dynamic panel regression models under unequal time spacing. After reviewing the method, we examine the finite-sample performance of the command using simulated data. We also illustrate the command with the National Longitudinal Survey Original Cohorts: Older Men, whose personal interviews took place in the unequally spaced years of 1966, 1967, 1969, 1971, 1976, 1981, and 1990. The methods underlying xtusreg are those discussed by Sasaki and Xin (2017, Journal of Econometrics 196: 320–330).
Flexible parametric survival analysis with multiple timescales: Estimation and implementation using stmt

In this article, we describe methodology that allows for multiple timescales using flexible parametric survival models without the need for time splitting. When one fits flexible parametric survival models on the log-hazard scale, numerical integration is required in the log likelihood to fit the model. The use of numerical integration allows incorporation of arbitrary functions of time into the model and hence lends itself to the inclusion of multiple timescales in an appealing way. We describe and exemplify these methods and show how to use the command stmt , which implements these methods, alongside its postestimation commands.
Hadron structure in tau -> KK pi nu(tau) decays

We wish to thank S. Eidelman, H. Hayashii, B. Malaescu, O. Shekhovtsova and Z. Was for their interest in this work and many useful discussions on the topic of this article. P. Roig has been partially supported by a FPU contract (MEC), the DFG cluster of excellence ’Origin and Structure of the Universe’ and a Marie Curie ESR Contract (FLAVIAnet). This work has been supported in part by the EU MRTN-CT-2006-035482 (FLAVIAnet), by MEC (Spain) under grant FPA2007-60323, by the Spanish Consolider-Ingenio 2010 Programme CPAN (CSD2007- 00042) and by Generalitat Valenciana under grant PROMETEO/2008/069. This work has also been supported by CONICET and ANPCyT (Argentina), under grants PIP6009, PIP02495, PICT04-03-25374 and PICT07-03-00818.
Towards intersectional and anti-racist career guidance

ABSTRACT Many researchers have drawn attention to the importance of intersectionality and anti-racism in career guidance, but literature thus far contains few practical examples of how to go about dismantling ethnic and racial normativities that shape educational and labour market transitions. The aim of this article is to deepen the understanding of anti-racist and intersectional career guidance by presenting the results of a study which analysed 22 interviews with counsellors, who work among ethnic and/or racialised minorities and recognise a need to tackle societal inequalities. The study gives examples of critical practices as well as underlines the importance of mainstreaming intersectionality and the advocacy on behalf of oppressed minorities in the guidance practices and ethical guidelines of the profession.
OLD MASSIVE GLOBULAR CLUSTERS AND THE STELLAR HALO OF THE DWARF STARBURST GALAXY NGC 4449

We use Hubble Space Telescope imaging to show that the nearby dwarf starburst galaxy NGC 4449 has an unusual abundance of luminous red star clusters. Joint constraints from integrated photometry, low-resolution spectroscopy, dynamical mass-to-light ratios, and resolved color–magnitude diagrams provide evidence that some of these clusters are old globular clusters (GCs). Spectroscopic data for two massive clusters suggest intermediate metallicities ([Fe/H] ∼−1) and subsolar Mg enhancement ([Mg/Fe] ∼−0.1 to −0.2). One of these clusters may be the nucleus of a tidally disrupting dwarf galaxy; the other is very massive (∼3 × 106 M☉). We have also identified a population of remote halo GCs. NGC 4449 is consistent with an emerging picture of the ubiquity of stellar halos among dwarf galaxies, and study of its GCs may help distinguish between accretion and in situ scenarios for such halos.
Molecular beam epitaxy growth and scanning tunneling microscopy study of TiSe$_2$ ultrathin films

Molecular beam epitaxy is used to grow TiSe2 ultrathin films on graphitized SiC(0001) substrate. TiSe2films proceed via a nearly layer-by-layer growth mode and exhibit two dominant types of defects, identified as Se vacancy and interstitial, respectively. By means of scanning tunneling microscopy, we demonstrate that the well-established charge density waves can survive in single unit-cell (one triple layer) regime, and find a gradual reduction in their correlation length as the density of surface defects in TiSe2 ultrathin films increases. Our findings offer important insights into the nature of charge density wave in TiSe2, and also pave a material foundation for potential applications based on the collective electronic states.
Lorentz-violating Euler-Heisenberg effective action

In this work, we study the radiative generation of the Lorentz-violating Euler-Heisenberg action, in the weak field approximation. For this, we first consider a nonperturbative calculation in the coefficient ${c}_{\ensuremath{\mu}\ensuremath{\nu}}$, however, by assuming rotational invariance. Within this approach, we also obtain the results of the amplitude for the photon triple splitting. In the following, we take into account the perturbative approach, where ${c}_{\ensuremath{\mu}\ensuremath{\nu}}$ is treated as a insertion in the propagator and a new vertex. The partial results are in fact an expansion up to first order in ${c}_{\ensuremath{\mu}\ensuremath{\nu}}$ of the nonperturbative ones, with ${c}_{00}=\ensuremath{\kappa}$ and ${c}_{0i}={c}_{ij}=0$. This suggests that the complete results obtained in the nonperturbative approach can be used in both treatments.
Titanium Nitride Films for Ultrasensitive Microresonator Detectors

Titanium nitride (TiNx) films are ideal for use in superconducting microresonator detectors for the following reasons: (a) the critical temperature varies with composition (0 107) and have noise properties similar to resonators made using other materials, while the quasiparticle lifetimes are reasonably long, 10–200 μs. TiN microresonators should therefore reach sensitivities well below 10−19 W Hz−1/2.
Radial orbit instability as a dissipation-induced phenomenon

This paper is devoted to Radial Orbit Instability in the context of self-gravitating dynamical systems. We present this instability in the new frame of Dissipation-Induced Instability theory. This allows us to obtain a rather simple proof based on energetics arguments and to clarify the associated physical mechanism.
PGT: a prompt based generative transformer for the patent domain

Patents are a valuable source of knowledge, but drafting them is a time-consuming and expensive task. Methods that assist patent generation can provide a two-fold improvement as they can speed up the generation process and suggest to the inventor ideas and claims. Herein, influenced by recent advances in language modeling via multitask learning and prompt engineering, we present Patent Generative Transformer (PGT), a transformer-based language model trained to facilitate patent drafting. Specifically, the model supports three tasks: part-of-patent generation, text infilling, and patent coherence evaluation. PGT complements inventors and assures the fast and successful transition from their input to a coherent patent disclosure taking advantage of its multitasking nature. We show how the model out-performs a collection of task-specific baselines on relevant metrics. We further test the quality of the generated text via blind testing by subject matter experts. Finally, we explore a zero-shot extension of the model showing how to use PGT for generating domain-specific abstracts.
Toward Preference-Aware Story Evaluation via Ranking, Rating and Reasoning

Existing automatic story evaluation methods 001 place a premium on story coherence, deviat-002 ing from human preference. We go beyond 003 such limitation by presenting a more challeng-004 ing task of preference-aware story evalua-005 tion . Given either a machine-generated or a 006 human-written story, the task requires the ma-007 chine to output a preference score that corre-008 sponds to human preference, along with spe-009 cific ratings and comments for various aspects 010 (e.g., opening, character-shaping). To support 011 the novel task, we introduce a well-annotated 012 StoR3 dataset comprising (i) 100k ranked story 013 pairs; and (ii) a set of 46k ratings and comments 014 on various aspects of the story. To move to-015 ward preference-aware evaluation, we propose 016 a model using the upvote count as the criterion. 017 The experiments show that the scores obtained 018 by our model have a high correlation to hu-019 man preference. Additionally, we discovered 020 that the combination of aspect ratings and com-021 ments improves the performance. Our dataset 022 and benchmarks are publicly available to ad-023 vance the research of story evaluation tasks. 1 024
de Haas-van Alphen oscillations in the underdoped cuprate YBa$_2$Cu$_3$O$_{6.5}$

Cyril Jaudet, David Vignolles, ∗ Alain Audouard, Julien Levallois, D. LeBoeuf, Nicolas Doiron-Leyraud, B. Vignolle, M. Nardone, A. Zitouni, Ruixing Liang, 4 D.A. Bonn, 4 W.N. Hardy, 4 Louis Taillefer, 4 and Cyril Proust † Laboratoire National des Champs Magnétiques Pulsés (CNRS-UPS-INSA), Toulouse, France Département de physique & RQMP, Université de Sherbrooke, Sherbrooke, Canada Department of Physics and Astronomy, University of British Columbia, Vancouver, Canada Canadian Institute for Advanced Research, Toronto, Canada (Dated: May 13, 2008)
Ultrasonic Differential Odometry for Vehicle Localization

Ultrasonic ground speed sensors were applied to vehicle positioning. A pair of ultrasonic Doppler radars measured the velocities of a vehicle at both its sides, and the yaw rate of the vehicle was obtained from the difference in the velocities. The localization method based on ultrasonic odometry was evaluated experimentally on a hand cart and a passenger car. The positioning error was found to be within a few percent in both run length and azimuth angle.
The radius of baryonic collapse in disc galaxy formation

In the standard picture of disc galaxy formation, baryons and dark matter receive the same tidal torques, and therefore approximately the same initial specific angular momentum. However, observations indicate that disc galaxies typically have only about half as much specific angular momentum as their dark matter haloes. We argue this does not necessarily imply that baryons lose this much specific angular momentum as they form galaxies. It may instead indicate that galaxies are most directly related to the inner regions of their host haloes, as may be expected in a scenario where baryons in the inner parts of haloes collapse first. A limiting case is examined under the idealized assumption of perfect angular momentum conservation. Namely, we determine the density contrast Δ, with respect to the critical density of the Universe, by which dark matter haloes need to be defined in order to have the same average specific angular momentum as the galaxies they host. Under the assumption that galaxies are related to haloes via their characteristic rotation velocities, the necessary Δ is ∼600. This Δ corresponds to an average halo radius and mass which are ∼60 per cent and ∼75 per cent, respectively, of the virial values (i.e. for Δ= 200). We refer to this radius as the radius of baryonic collapse RBC, since if specific angular momentum is conserved perfectly, baryons would come from within it. It is not likely a simple step function due to the complex gastrophysics involved; therefore, we regard it as an effective radius. In summary, the difference between the predicted initial and the observed final specific angular momentum of galaxies, which is conventionally attributed solely to angular momentum loss, can more naturally be explained by a preference for collapse of baryons within RBC, with possibly some later angular momentum transfer.
A Machine Learning Based Model for Monitoring of Composites’ Drilling-Induced Defects During Assembly Production Using Terahertz Imaging Data

The composite materials are becoming more popular due to their advantages over traditional materials, including being lightweight, high stiffness-to-density and high strength-to-weight ratios. As a result, composite materials have been widely used in manufacturing sector for various industries including aerospace, automotive, marine and energy. Nonetheless, as machining of composites is unavoidable for assembly purposes, defects can be induced at various stages of manufacturing process. Drilling of fiber-reinforced composites is a complex task due to their anisotropic, inhomogeneous, and highly abrasive characteristics. Defects form drilling process including delamination and fiber pull-out can significantly affect the strength and performance of composites. There have been a wide variety of non-destructive testing (NDT) methods playing a major role in testing of composite materials. However, the current NDT solutions for in-service inspection are largely complex, which leads to higher inspection costs. The proposed solution uses artificial intelligence (AI) based algorithm utilizing Terahertz imaging data to detect drilling-induced defects in composite materials during manufacturing and assembly. A machine learning (ML) model has been developed to process the data obtained from Terahertz scanning to automatically detect and report the defects in composite drillings. In order to achieve such a system, a ML model based on Faster R-CNN neural network for drill holes’ defects detection has been developed. This automated solution will have the ability to reduce the manual inspection time of the operator and the costs of inspection process of drilling holes. The developed system proved to have a statistically significant efficiency in both performance and speed as well as reducing the sub-quality products.
Experimental validation of analog m-CAP receivers for Internet of Things

In the framework of future Internet of Things (IoT) systems, the number of connected devices is increasing, along with the requirement of environmentally friendly devices, which should have low power/cost/size features. Visible light communications (VLC) has been proposed as a complementary technology for a vast number of scenarios, in particular for IoT, where it can favour device density growth by enabling spectrum reuse within few meters. This paper presents a VLC-based communication system, using analog demodulation for multi-band carrierless amplitude and phase (m-CAP) modulated systems in IoT multi-user scenarios. The goal is to implement and validate an IoT system architecture where multiple simple and low cost/power receivers can receive and decode narrow-band information sent by a single and complex broadband transmitter, located at lighting fixtures. An experimental testbed is developed for the proposed system to evaluate its performance in terms of eye patterns, constellations, error vector magnitude, and bit error rate (BER) for two line-of-sight scenarios. The results show that the system is tolerant up to 2.5 m, achieving a BER lower than the forward error correction (FEC) limit. Moreover, it allows the device to be tilted up to 45° and still achieve a BER below the FEC limit, for distances below 1.7 m.
Seamless Rapid Prototyping with Docker Container for Mobile Robot Development

This paper describes seamless rapid prototyping using Docker Container for developing mobile robots with waypoint navigation capabilities as an example of seamless rapid prototyping, we show how to migrate from an existing ROS-based Lidar SLAM mobile robot to a ROS2-based system with waypoint navigation capabilities. Between ROS and ROS2, there are many implementation issues related to the simulation environment called Gazebo, there are differences. Therefore, we will create a new sdf file for the mobile robot model and an urdf file for Gazebo to overcome the differences between the ROS and Gazebo implementations. The integration of these files with the new Navigation2 software for SLAM navigation has been successfully implemented in the developed Gazebo simulation environment.
Numerical Energy Behavior Analysis While Digging in Hydraulic Cylinder Dynamics of Agriculture Scale Excavators

This paper discusses a numerical energy behavior analysis while digging in hydraulic cylinder dynamics of agriculture scale excavators. In the previous paper, the numerical energy analysis while digging based on a nonlinear control model has not been discussed. First, we review a nominal model in hydraulic cylinder dynamics which is much simpler than the Computational Fluid Dynamics. Second, we propose to update the conventional energy analysis method by taking the soil into account in the numerical simulator. Finally, we analyze the numerical energy behavior while digging.
Topological crystalline insulator (Pb,Sn)Te: Surface states and their spin polarization

Using a tight-binding approach we study theoretically the nature of surface states in Pb0.4Sn0. 6Te - the newly discovered topological-crystalline-insulator. Apart from the studied before (001) surface states, two other surface families, {011} and {111}, in which the mirror symmetry of the crystal's rock-salt structure plays the same role in topological protection, are considered. Our calculations show that while in (111) surface states of (Pb,Sn)Te four single topologically protected Dirac-cones should appear, for the (110) surface states the protection is lifted for two L points. In this case, instead of the Dirac points energy gaps occur in the surface states, due to the interaction between the two L valleys. In all studied cases a chiral spin texture is obtained.
Performance of MMSE-LE in 2 Gbaud/s Single Carrier Visible Light Communication using PAM-2

A Visible Light Communication system (VLC) based on Pulse Amplitude Modulation (PAM-2) with equalisation of low-complexity is presented. The VLC system consists of a transmission chain with an off-the-shelf 520 nm Laser Diode (LD), whose distance from the photodiode at the receiver is 1. 8m. A Minimum Mean Square Linear Equalisation (MMSE-LE) with 16 taps enables communication to be performed at a baud rate of 2 Gbaud/s with a measured Bit Error Rate (BER) above the VLC Forward Error Correction (FEC) threshold. Digital Signal Processing (DSP) was performed in offline mode with MATLAB algorithm. Through the study carried out, it is possible to verify how much linear equalisation can compensate for the distortions of the transmission channel through the measured eye diagrams as well as the number of MMSE-LE taps to obtain optimised MMSE-LE performances and increase the capacity of the VLC channel with PAM-2.
Rendezvous control design for the Cucker-Smale model on the unit sphere

In this paper, we investigate a rendezvous problem for the Cucker-Smale model on the n-dimensional unit sphere. We design a feedback control law with the help of covariant derivative, parallel transport, and geodesic on the n-dimensional unit sphere and show that the proposed feedback control law enables all agents to convergeto a static target on the n-dimensional unit sphere under some a priori conditions. Meanwhile, a numerical simulation is provided to verify and illustrate the theoretical results.
A Comparative Case Study of Reducing Carbon Emission by Optimal Engine Management with Direct and Indirect CO2-Cost Function

This paper presents a comparative case study for reducing carbon emissions by minimizing total fuel consumption via managing the operation point of combustion engine. As a benchmark example, a hybrid electric vehicle with the planetary gear box is chosen. First, a carbon emission rate map is obtained with the experimental data conducted at a gasoline engine testbench. Then, the optimal strategies for managing the engine operating point are obtained by using different cost functions, the fuel consumption rate and the carbon emission rate. Finally, the effect on reducing carbon emission of two optimization is demonstrated with numerical simulation results.
A Novel Blur Reduction Technique For QR And ASCII Coding In Smartphone Visible Light Communications

In this paper we present a new scheme to enhance the quick response (QR) code and American Standard code for information interchange (ASCII) in Smartphone-to-Smartphone Visible Light Communications (S2SVLC). The key technique is to avoid the repeated scanning of the blurred QR/ASCII code at the receiver. The technique will help to increase the QR/ASCII detection efficiency and the system data rate. The proposed technique includes converting the RGB image into the grayscale, applying contrast enhancement, scaling and binarizing the image. The experiment includes practical data acquisition and further processing in MATLAB. The obtained result indicates that, in the proposed technique the recovery rate can reach to 96%. We have carried out an end-to-end transmission of the system.