Miracle-dz/UniFAR-FTUs huggingface dataset:
Uniaxial strain effects on the superconducting transition in Re-doped Hg-1223 cuprate superconductors

The eﬀects of uniaxial strain and hydrostatic pressure on Hg Re [Hg 0 . 83 (Re 0 . 18 )-1223] were investigated by AC magnetic measurements under stress corresponding to a pressure of 20 GPa at maximum. According to a previous thermal study based on the Ehrenfest relation, in-plane contraction should increase the superconducting transition temperature ( T c ), whereas out-of-plane contraction should decrease T c . This suggests that the increase in T c under hydrostatic-pressure contraction must be smaller than that under in-plane contraction. However, the present uniaxial-strain experiments revealed enhancement of T c under both in-plane and out-of-plane contraction, and the largest enhancement was observed under hydrostatic-pressure contraction. According to a band calculation, all contraction styles induce hole doping from the HgO blocks to the CuO 2 blocks, and hydrostatic-pressure contraction yields the largest hole doping among three contractions. This behavior explains well a series of changes in T c in the stress region of below 8 GPa. More speciﬁcally, under hydrostatic-pressure contraction, T c exhibited an increase, a decrease, and another increase with increasing pressure, and this multistep change is similar to that observed in Bi-2223-type cuprate superconductors, suggesting that it is necessary to distinguish the eﬀect of strain on the middle CuO 2 plane in the three-CuO 2 -plane package from that on the outer planes.
Development of Near-Cloud Turbulence Diagnostics Based on a Convective Gravity Wave Drag Parameterization

We propose near-cloud turbulence (NCT) diagnostics for use in aviation turbulence forecasting, using a convective gravity wave drag (CGWD) parameterization scheme. The NCT diagnostics are obtained based on (i) CGWD and (ii) minimum Richardson number including the effects of convective gravity waves (CGWs). The feasibility of the NCT diagnostics is examined using numerical simulation results of real turbulence cases related to the breaking of CGWs, which occurred over eastern Missouri and southwestern Illinois in the United States on 9–10 March 2006, and near Fukuoka, Japan, on 2 September 2007. On 9–10 March 2006, several instances of moderate-or-greater (MOG)-intensity turbulence were reported above shallow but active convection over the central United States, while on 2 September 2007, severe turbulence was encountered above dissipating convection near Fukuoka, Japan. The high-resolution simulation results for both turbulence events show that CGWs and their breaking provide favorable environments for turbulence generation. For two simulated real cases, nonzero NCT diagnostics are reasonably well matched with observed turbulence encounters. The global distribution of CGWD calculated using global reanalysis data revealed a high potential of MOG turbulence in the tropics and the midlatitudes, which can be clearly distinguished from the traditional clear-air turbulence index where high potentials of MOG turbulence are diagnosed in the midlatitudes associated with the strong vertical wind shears near jet streams. These results imply that the proposed NCT diagnostics are useful for forecasting turbulence related to the breaking of CGWs, especially, in tropical regions.
Stockholm School of Economics in St. Petersburg Working Paper #99-102 THE EFFECT OF HUMAN RESOURCE MANAGEMENT PRACTICES ON FIRM PERFORMANCE IN RUSSIA

Based on 101 foreign firms operating in Russia, the effect of human resource management (HRM) on firm performance in Russia is investigated. This is accomplished by developing and testing a model including HR outcomes (motivation, retention, and development) as a mediating variable between HRM practices and firm performance. Our study provides some support for the use of HRM outcomes as a mediating variable between HRM practices and firm performance. The results also indicate that non-technical training and high salaries will have a positive impact on HR outcomes for managers while job security is the most important predictor of HR outcomes for non-managerial employees. Thus, our study provides support for the importance of including both managers and non-managers in the same study, but treating them separately. In addition, results indicate a direct positive relationship between managerial promotions based on merit and firm performance for managers and job security and performance for non-managers.
A Topological Regularizer for Classiﬁers via Persistent Homology – Supplemental Material –

Persistent homology (Edelsbrunner et al., 2002; Zomorodian and Carlsson, 2005; Carlsson and de Silva, 2010; Carlsson et al., 2009) is a fundamental recent development in the field of computational topology, underlying many topological data analysis methods. Below, we provide an an intuitive description to help explain its role in measuring the robustness of topological features in the zero-th level set (the separation boundary) of classifier function f .
Dynamic Analysis of the Arrow Distributed Protocol

Arrow is a prominent distributed protocol which globally orders requests initiated by the nodes in a distributed system. In this paper we present a dynamic analysis of the Arrow protocol. We prove that Arrow is O(log D)-competitive, where D is the diameter of the spanning tree on which Arrow operates. In addition, we show that our analysis is almost tight by proving that for all trees the competitive ratio of Arrow is Ω(log D/ log log D).
InLoc: Indoor Visual Localization with Dense Matching and View Synthesis

We seek to predict the 6 degree-of-freedom (6DoF) pose of a query photograph with respect to a large indoor 3D map. The contributions of this work are three-fold. First, we develop a new large-scale visual localization method targeted for indoor environments. The method proceeds along three steps: (i) efficient retrieval of candidate poses that ensures scalability to large-scale environments, (ii) pose estimation using dense matching rather than local features to deal with texture less indoor scenes, and (iii) pose verification by virtual view synthesis to cope with significant changes in viewpoint, scene layout, and occluders. Second, we collect a new dataset with reference 6DoF poses for large-scale indoor localization. Query photographs are captured by mobile phones at a different time than the reference 3D map, thus presenting a realistic indoor localization scenario. Third, we demonstrate that our method significantly outperforms current state-of-the-art indoor localization approaches on this new challenging data.
Exploration – Exploitation in MDPs with Options

The option framework (Sutton et al., 1999) is a simple yet powerful model to introduce temporally-extended actions and hierarchies in reinforcement learning (Sutton and Barto, 1998). An important feature of this framework is that Markov decision process (MDP) planning and learning algorithms can be easily extended to accommodate options, thus obtaining algorithms such as option value iteration and Q-learning (Sutton et al., 1999), LSTD (Sorg and Singh, 2010), and actor-critic (Bacon and Precup, 2015). While options may significantly improve the performance w.r. t. learning with primitive actions, a theoretical understanding of their actual impact on the learning performance is still fairly limited. Notable exceptions are the sample complexity analysis of approximate value iteration with options (Mann and Mannor, 2014) and the PAC-MDP analysis by Brunskill and Li (2014). In this paper, we derive the first regret analysis of learning with options. Relying on the fact that using options in an MDP induces a semi-Markov decision process (SMDP), we first introduce a variant of the UCRL algorithm (Jaksch et al., 2010) for SMDPs and we upper bound its regret. While this result is of independent interest for learning in SMDPs, its most interesting aspect is that it can be translated into a regret bound for learning with options in MDPs and it provides a first understanding on the conditions sufficient for a set of options to reduce the regret w.r. t. learning with primitive actions.
Automatic Conflict Detection in Police Body-Worn Video

Automatic conflict detection has grown in relevance with the advent of body-worn technology, but existing metrics such as turn-taking and overlap are poor indicators of conflict in police-public interactions. Moreover, standard techniques to compute them fall short when applied to such diversified and noisy contexts. We develop a pipeline catered to this task combining adaptive noise removal, non-speech filtering and new measures of conflict based on the repetition and intensity of phrases in speech. We demonstrate the effectiveness of our approach on body-worn audio data collected by the Los Angeles Police Department.
Aging, Neuropsychology, and Cognition: a Journal on Normal and Dysfunctional Development the Interaction between Frontal Functioning and Encoding Processes in Reducing False Memories

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Compact back‐to‐back DRA‐based four‐port MIMO antenna system with bi‐directional diversity

This Letter presents a dielectric resonator (DR)-based multiple-input-multiple-output (MIMO) antenna with bi-directional pattern diversity. The back-to-back arrangement of cylindrical DR antennas DRAs (cDRAs) is one of the unique features of the proposed design. The cDRAs are placed on an FR4 substrate with a common ground plane. Each cDRA element is excited by two ports to establish a four-port MIMO antenna system. At ports 1 and 2, the top cDRA is excited via co-planar waveguide (CPW) fed conformal strip lines. In case of ports 3 and 4, the bottom cDRA is excited by microstrip line fed conformal strip lines. Isolation between all ports is improved (better than 18 dB) by generating orthogonal modes in the cDRAs and use of opposite excitations. Measured results confirm that the proposed four-port MIMO antenna system is useful for the frequency ranges between 5.4 and 6.0 GHz for WLAN applications.
A Feasibility Study on In-Core Fuel Management via Quantum Particle Swarm Optimization

Fuel loading operations in a nuclear reactor core have been calling for adequate methods to determine fuel assemblies configurations able to optimize required features. The current paper leads an investigation over already existing optimization algorithms, aiming to target and further develop a promising method to tackle in-core fuel management optimization problems. To this aim, Genetic Algorithms (GA) and Particle Swarm Algorithm (PS) were selected, tested and eventually compared using an analytical multi-variable continuous test function. Results obtained showed Particle Swarm to have better performances with respect to both accuracy and machine time. The successive analyses were focused on Particle Swarm (PS) and its updated version, Quantum Particle Swarm (QPS). Particle Swarm and a modified version of the original Quantum Particle Swarm algorithm, here proposed by the present authors, were tested with respect to their efficiencies and performances on a reactor physics case study. The adopted case study regards an extremely simplified PWR core. The goal was to optimize fuel assemblies disposition in order to obtain the highest value of the multiplication factor, keff. The calculations were performed coupling Particle Swarm based algorithms with Serpent Monte Carlo code. Obtained results showed a clear superiority in terms of calculation time of the Quantum Particle Swarm based algorithm proposed by the authors. This speaks in favour of its application to more complex in-core fuel management optimization cases.
Distributed Three‐Dimensional Formation Containment Control of Multiple Unmanned Aerial Vehicle Systems

This paper concentrates the distributed formation containment problems for multiple unmanned aerial vehicle (UAV) systems under both fixed directed and switching directed topologies. The objective is to introduce the formation control into the containment control research, where master UAVs should exchange information with each other to achieve and maintain a desired formation. Then, two different control protocols are proposed for the master UAVs and slave UAVs, respectively. Utilizing the algebraic graph theory and stability theory, some sufficient conditions are derived to guarantee the master UAVs complete a prespecified formation, while the states of the slave UAVs converge to a convex hull formed by those of the master UAVs. Finally, some numerical simulations are provided to verify the effectiveness of the theoretical results.
Modelling of Basin Wide Daily Evapotranspiration with a Partial Integration of Remote Sensing Data

Evapotranspiration (ET) is the most significant water balance component and is also a very complex component to evaluate in spatio–temporal scales. Remotely-sensed data greatly increases the accuracy of basin wide ET estimation but only in periods with available satellite images. This paper describes an attempt to estimate daily ET regardless of the availability of the satellite images. The method is based on application of the interpolated evaporative fraction (Λ) from “historical” satellite images to periods with no satellite data available. Basin wide daily ET is obtained by combining interpolated Λ and standard PET methods on meteorological stations. The reliability of such approach was evaluated by comparing the obtained daily ET to the SEBAL ET estimates through the analysis of residuals (Δ), standard deviations of residuals (σ) and the Nash–Sutcliffe coefficient (NSE) over the basin. The SEBAL ET estimates were validated with the data from two lysimeters. The discrepancy of obtained ET versus the SEBAL ET estimates (Δ = 0.13 mm day−1, σ = 0.64 mm day−1, NSE = 0.07) indicated that the proposed concept has relatively high accuracy, which is notably higher than the Penman–Monteith interpolated ET estimates (Δ = 1.94 mm day−1, σ = 1.03 mm day−1, NSE = −4.71). It was shown that a total of five images can provide a reliable estimate of interpolated Λ and thus represent specific characteristics of a basin. As the presented concept requires minimum remote sensing data and ground based inputs, it could be applied to estimate basin wide daily ET in data scarce regions and in periods with no satellite images available.
Evaluation of the extracellular and intracellular activities (human THP-1 macrophages) of telavancin versus vancomycin against methicillin-susceptible, methicillin-resistant, vancomycin-intermediate and vancomycin-resistant Staphylococcus aureus.

OBJECTIVES To compare extracellular and intracellular activities of telavancin (versus vancomycin) against Staphylococcus aureus (MSSA, MRSA, VISA and VRSA). METHODS Determination of cfu changes (3-24 h) in culture medium and in macrophages at concentrations ranging from 0.01 to 1000x MIC. RESULTS Extracellularly, telavancin displayed a fast, concentration-dependent bactericidal activity against all strains. The concentration-effect relationship was bimodal for MSSA and MRSA [two successive sharp drops in bacterial counts (0.3-1x MIC and 100-1000x MIC) separated by a zone of low concentration dependency]. When compared at human total drug Cmax (vancomycin, 50 mg/L; telavancin, 90 mg/L) towards MSSA, MRSA and VISA, telavancin caused both a faster and more marked decrease of cfu, with the limit of detection (>5 log decrease) reached already at 6 versus 24 h for vancomycin. Intracellularly, the bactericidal activity of telavancin was less intense [-3 log (MSSA) to -1.5 log (VRSA) at Cmax and at 24 h]. A bimodal relationship with respect to concentration (at 24 h) was observed for both MSSA and MRSA. In contrast, vancomycin exhibited only marginal intracellular activity towards intraphagocytic MSSA, MRSA and VISA (max. -0.5 log decrease at 24 h and at Cmax). CONCLUSIONS Telavancin showed time- and concentration-dependent bactericidal activity against both extracellular and intracellular S. aureus with various resistance phenotypes. The data support the use of telavancin in infections where intracellular and extracellular S. aureus are present. Bimodality of dose responses (MSSA and MRSA) could indicate multiple mechanisms of action for telavancin.
Residual Memory Networks: Feed-forward approach to learn long temporal dependencies

Training deep recurrent neural network (RNN) architectures is complicated due to the increased network complexity. This disrupts the learning of higher order abstracts using deep RNN. In case of feed-forward networks training deep structures is simple and faster while learning long-term temporal information is not possible. In this paper we propose a residual memory neural network (RMN) architecture to model short-time dependencies using deep feed-forward layers having residual and time delayed connections. The residual connection paves way to construct deeper networks by enabling unhindered flow of gradients and the time delay units capture temporal information with shared weights. The number of layers in RMN signifies both the hierarchical processing depth and temporal depth. The computational complexity in training RMN is significantly less when compared to deep recurrent networks. RMN is further extended as bi-directional RMN (BRMN) to capture both past and future information. Experimental analysis is done on AMI corpus to substantiate the capability of RMN in learning long-term information and hierarchical information. Recognition performance of RMN trained with 300 hours of Switchboard corpus is compared with various state-of-the-art LVCSR systems. The results indicate that RMN and BRMN gains 6 % and 3.8 % relative improvement over LSTM and BLSTM networks.
Interferometric imaging of acoustical phenomena using high-speed polarization camera and 4-step parallel phase-shifting technique

Imaging of sound aids the understanding of the acoustical phenomena such as propagation, reflection, and diffraction, which is strongly required for various acoustical applications. The imaging of sound is commonly done by using a microphone array, whereas optical methods have recently been interested due to its contactless nature. The optical measurement of sound utilizes the phase modulation of light caused by sound. Since light propagated through a sound field changes its phase as proportional to the sound pressure, optical phase measurement technique can be used for the sound measurement. Several methods including laser Doppler vibrometry and Schlieren method have been proposed for that purpose. However, the sensitivities of the methods become lower as a frequency of sound decreases. In contrast, since the sensitivities of the phase-shifting technique do not depend on the frequencies of sounds, that technique is suitable for the imaging of sounds in the low-frequency range. The principle of imaging of sound using parallel phase-shifting interferometry was reported by the authors (K. Ishikawa et al., Optics Express, 2016). The measurement system consists of a high-speed polarization camera made by Photron Ltd., and a polarization interferometer. This paper reviews the principle briefly and demonstrates the high-speed imaging of acoustical phenomena. The results suggest that the proposed system can be applied to various industrial problems in acoustical engineering.
Elements of contemporary mathematical theory of dynamical chaos. Part 1. Pseudohyperbolic attractors

The paper deals with topical issues of modern mathematical theory of dynamical chaos and its applications. At present, it is customary to assume that dynamical chaos in finitedimensional smooth systems can exist in three different forms. This is dissipative chaos, the mathematical image of which is a strange attractor; conservative chaos, for which the entire phase space is a large"chaotic sea"with randomly spaced elliptical islands inside it; and mixed dynamics, characterized by the principal inseparability in the phase space of attractors, repellers and conservative elements of dynamics. In the present paper (which opens a cycle of three our papers), elements of the theory of pseudo-hyperbolic attractors of multidimensional maps are presented. Such attractors, as well as hyperbolic ones, are genuine strange attractors, but they allow the existence of homoclinic tangencies. We give a mathematical definition of a pseudo-hyperbolic attractor for the case of multidimensional maps, from which we derive the necessary conditions for its existence in the three-dimensional case, formulated using the Lyapunov exponents. We also describe some phenomenological scenarios for the appearance of pseudo-hyperbolic attractors of various types in one-parameter families of three-dimensional diffeomorphisms, we propose new methods for studying such attractors (in particular, a method of saddle charts and a modified method of Lyapunov diagrams). We consider also three-dimensional generalized Henon maps as examples.
Search for additional heavy scalar/pseudoscalar neutral Higgs bosons at CMS

Recent results on searches for additional scalar and pseudo-scalar neutral Higgs bosons are presented. These searches are well motivated within a variety of BSM models, from the MSSM to more general two Higgs doublet models. Heavy neutral scalar Higgs (H) or pseudo-scalar (A) bosons are searched in different final states. These studies are based on pp collision data collected at √ s = 7 and 8 TeV by the CMS collaboration at the LHC.
An efficient gradient method with approximate optimal stepsize for the strictly convex quadratic minimization problem

Abstract In this paper, a new type of stepsize, approximate optimal stepsize, for gradient method is introduced to interpret the Barzilai–Borwein (BB) method, and an efficient gradient method with an approximate optimal stepsize for the strictly convex quadratic minimization problem is presented. Based on a multi-step quasi-Newton condition, we construct a new quadratic approximation model to generate an approximate optimal stepsize. We then use the two well-known BB stepsizes to truncate it for improving numerical effects and treat the resulted approximate optimal stepsize as the new stepsize for gradient method. We establish the global convergence and R-linear convergence of the proposed method. Numerical results show that the proposed method outperforms some well-known gradient methods.
Eventually Sound Points-To Analysis with Missing Code

Static analyses make the increasingly tenuous assumption that all source code is available for analysis; for example, large libraries often call into native code that cannot be analyzed. We propose a points-to analysis that initially makes optimistic assumptions about missing code, and then inserts runtime checks that report counterexamples to these assumptions that occur during execution. Our approach guarantees eventual soundness, which combines two guarantees: (i) the runtime checks are guaranteed to catch the first counterexample that occurs during any execution, in which case execution can be terminated to prevent harm, and (ii) only finitely many counterexamples ever occur, implying that the static analysis eventually becomes statically sound with respect to all remaining executions. We implement Optix, an eventually sound points-to analysis for Android apps, where the Android framework is missing. We show that the runtime checks added by Optix incur low overhead on real programs, and demonstrate how Optix improves a client information flow analysis for detecting Android malware.