Miracle-dz/UniFAR-FTUs huggingface dataset:
Fundamentals of Circuits and Filters

Mathematics, Y. -F. Huang Linear Operators and Matrices, C.B. Schrader and M.K. Sain Bilinear Operators and Matrices, M.K. Sain and C.B. Schrader Laplace Transformation, J.R. Deller, Jr. Fourier Methods for Signal Analysis and Processing, W.K. Jenkins z-Transform, J. Kovacevic Wavelet Transforms, P.P. Vaidyanathan and I. Djokovic Graph Theory, K. Thulasiraman Signal Flow Graphs, K. Thulasiraman Theory of Two-Dimensional Hurwitz Polynomials, H.C. Reddy Application of Symmetry: Two-Dimensional Polynomials, Fourier Transforms, and Filter Design, H.C. Reddy, I-H. Khoo, and P.K. Rajan Circuit Elements, Devices and Their Models, J. Choma Passive Circuit Elements, S. Nowak, T.W. Postupolski, G.E. Carlson, and B.M. Wilamowski RF Passive IC Components, T.H. Lee, M. del Mar Hershenson, S.S. Mohan, K. Samavati, and C.P. Yue Circuit Elements, Modeling, and Equation Formulation, J.A. Nossek Controlled Circuit Elements, E.W. Greeneich and J.F. Delansky New! Bipolar Junction Transistor Amplifiers, D.J. Comer and D.T. Comer New! Operational Amplifiers, D.G. Nairn and S.B. Franco New! High-Frequency Amplifiers, C. Toumazou and A. Payne Linear Circuit Analysis, W.K. Chen Fundamental Circuit Concepts, J. Choma, Jr. Network Laws and Theorems, R.R. Chen, A.M. Davis, and M.A. Simaan Terminal and Port Representations, J.A. Svoboda Signal Flow Graphs in Filter Analysis and Synthesis, P.-M. Lin Analysis in the Frequency Domain, J. Vlach and J. Choma, Jr. Tableau and Modified Nodal Formulations, J. Vlach New! Frequency-Domain Methods, P.B. Aronhime New! Symbolic Analysis, M.M. Hassoun and B.S. Rodanski Analysis in the Time Domain, R.W. Newcomb State-Variable Techniques, K.S. Chao Index
A search for Mg-poor stars using LAMOST survey data

Most Galactic metal-poor stars exhibit enhanced α-abundances (e.g. [Mg/Fe] ∼ +0.4) according to previous studies of stellar chemical compositions. However, a handful of metal-poor stars with large deficiencies in Mg (e.g. [Mg/Fe] ∼ −0.2) show severe departures from this α-enhancement trend. The sub-solar [Mg/Fe] ratios of these anomalous stars indicate that they possess different chemical enrichment histories than the majority of Galactic metal-poor stars. In previous work, we presented a method to select Mg-poor metal-poor stars from low-resolution SDSS spectra based on a spectral matching technique. In this paper, a similar method is applied to low-resolution (R ∼ 1800) LAMOST spectra. Stellar [Mg/Fe] abundances are determined by using stellar parameters delivered by the LAMOST Data Release 2 catalog. From a sample of ∼ 60 000 stars with atmospheric parameters in the range Teff = [5500, 6500] K and [Fe/H] = [−2.4, +0.5], we select 15 candidate Mg-poor metal-poor stars.
Probing the Large-Scale Homogeneity of the Universe with Galaxy Redshift Surveys

Modern cosmological observations clearly reveal that the universe contains a hierarchy of clustering. However, recent surveys show a transition to homogeneity on large scales. The exact scale at which this transition occurs is still a topic of much debate. There has been much work done in trying to characterise the galaxy distribution using multifractals. However, for a number of years the size, depth and accuracy of galaxy surveys was regarded as insufficient to give a definitive answer. One of the main problems which arises in a multifractal analysis is how to deal with observational selection effects: ie `masks' in the survey region and a geometric boundary to the survey itself. In this thesis I will introduce a volume boundary correction which is rather similar to the approach developed by Pan and Coles in 2001, but which improves on their angular boundary correction in two important respects: firstly, our volume correction `throws away' fewer galaxies close the boundary of a given data set and secondly it is computationally more efficient. After application of our volume correction, I will then show how the underlying generalised dimensions of a given point set can be computed. I will apply this procedure to calculate the generalised fractal dimensions of both simulated fractal point sets and mock galaxy surveys which mimic the properties of the recent IRAS PSCz catalogue.
The role of the subtalar joint and the influence of footwear characteristics during slip perturbations

Slips are considered one of the most common causes of major accidental injuries. The objective of this thesis is two-fold. The first objective is to determine the role of the subtalar joint during a slipping perturbation. The second is to determine if certain footwear characteristics, that may restrict the normal function of the subtalar joint (i.e., insole stiffness and heel counter stiffness), will change the response to unexpected heel contact slipping perturbations. Forty-two participants (30 females, 12 males) were recruited from a university aged population (21.19 years ± 2.7 years). Trials were performed over a 10 m walkway with rectangular sheets of sandpaper placed at each foot contact. Ten participants performed walking trials barefoot while the other 32 participants were randomly assigned to one of four footwear conditions (n=8) (condition 1: flexible insole, soft heel counter; condition 2: flexible insole, stiff heel counter; condition 3: rigid insole, soft heel counter; condition 4: rigid insole, stiff heel counter). Electromyography (EMG) signals were collected from eight lower limb muscles (tibialis anterior, peroneus longus, medial gastrocnemius, rectus femoris and medial hamstring). Kinematic data was collected using a 20 marker set-up. Marker triads were placed on the tibia, calcaneous and mid-foot to determine subtalar joint motion. Kinetic data was collected using forces plates embedded in the walkway. Unexpected slips were presented after a predetermined number of normal walking trials. Wax paper adhered to the underside of a sandpaper sheet was exchanged on the second force plate to cause an unexpected heel contact slip perturbation. Overall, 20 participants experienced a slip. Within the barefoot condition, 80% of the participants experienced an unexpected slip perturbation. The prevalence of slips was not as great within all of the footwear conditions (25% 50%). During slip trials the average onset of eversion occurred slightly later than in normal walking trials, but was not statistically significant.
A mini-course on topological strings

These are the lecture notes for a short course in topological string theory that I gave at Uppsala University in the fall of 2004. The notes are aimed at PhD students who have studied quantum field theory and general relativity, and who have some general knowledge of ordinary string theory. The main purpose of the course is to cover the basics: after a review of the necessary mathematical tools, a thorough discussion of the construction of the A- and B-model topological strings from twisted N = (2,2) supersymmetric field theories is given. The notes end with a brief discussion on some selected applications.
11d Electric-Magnetic Duality and the Dbrane Spectrum

We consider the gedanken calculation of the pair correlation function of spatially-separated macroscopic string solitons in strongly coupled type IIA string/M theory, with the macroscopic strings wrapping the eleventh dimension. The supergravity limit of this correlation function with well-separated, pointlike macroscopic strings corresponds to having also taken the IIA string coupling constant to zero. Thus, the pointlike limit of the gedanken correlation function can be given a precise worldsheet description in the 10D weakly-coupled type IIA string theory, analysed by us in hep-th/0007056 [Nucl. Phys. B591 (2000) 243]. The requisite type IIA string amplitude is the supersymmetric extension of the worldsheet formulation of an off-shell closed string tree propagator in bosonic string theory, a 1986 analysis due to Cohen, Moore, Nelson, and Polchinski. We point out that the evidence for pointlike sources of the zero-form field strength provided by our worldsheet results clarifies that the electric-magnetic duality in the Dirichlet-brane spectrum of type II string theories is eleven-dimensional.
Real-Time 6-DOF SLAM for a Quadrotor Helicopter

This paper presents a real-time implementation of a simultaneous localization and mapping (SLAM) framework for a quadrotor helicopter. The framework features a frontend interface to the helicopter and a back-end solver of the graph representation of the robot and its environment. The back-end implements techniques from incremental Smoothing and Mapping (iSAM) in order to solve the graph in real time and provide instantaneous visualization of the robot trajectory and landmark positions. iSAM incrementally updates the information matrix factorization, providing significant time savings over other SLAM solvers. The speedups resulting from iSAM allow the 6-degree of freedom (DOF) SLAM problem to be solved in real time on a consumer-grade computer. Our software implementation was successfully tested in simulation and using an AR.Drone quadrotor helicopter.
Iterative Maximum Likelihood Estimation of Cointegrating Vectors

This paper introduces an iterative method to estimate the cointegrating vectors in the error correction models. The method provides the asymptotically efficient estimators for the cointegrating vectors if iterated once or more. If it is iterated until convergence, we may obtain the maximum likelihood estimator by Johansen. For all values of 1
Remark on well-posedness for the fourth order nonlinear Schrödinger type equation

We consider the initial value problem for the fourth order nonlinear Schrodinger type equation (4NLS) related to the theory of vortex filament. In this paper we prove the time local well-posedness for (4NLS) in the Sobolev space, which is an improvement of our previous paper.
Statistical modeling of causal effects in continuous time

This article studies the estimation of the causal effect of a time-varying treatment on time-to-an-event or on some other continuously distributed outcome. The paper applies to the situation where treatment is repeatedly adapted to time-dependent patient characteristics. The treatment effect cannot be estimated by simply conditioning on these time-dependent patient characteristics, as they may themselves be indications of the treatment effect. This time-dependent confounding is common in observational studies. Robins [(1992) Biometrika 79 321-334, (1998b) Encyclopedia of Biostatistics 6 4372-4389] has proposed the so-called structural nested models to estimate treatment effects in the presence of time-dependent confounding. In this article we provide a conceptual framework and formalization for structural nested models in continuous time. We show that the resulting estimators are consistent and asymptotically normal. Moreover, as conjectured in Robins [(1998b) Encyclopedia of Biostatistics 6 4372-4389], a test for whether treatment affects the outcome of interest can be performed without specifying a model for treatment effect. We illustrate the ideas in this article with an example.
Grassmann Integral Topological Invariants

Partition functions of some two-dimensional statistical models can be represented by means of Grassmann integrals over loops living on two-dimensional torus. It is shown that those Grassmann integrals are topological invariants, which depend only on the winding numbers of the loops. The fact makes possible to evaluate the partition functions of the models and the statistical mean values of certain topological characteristics (indices) of the configurations, which behave as the (topological) order parameters.
Schrödinger Equation with Periodic potentials

The Schrodinger equation ∂ xΨ(x) = [U(x) − E]Ψ(x) with the potential U(x) = 2ρ1 cos x + 2ρ2 cos(γx) is considered. The solution of this equation is reduced to the problem of finding the eigenvectors of an infinite matrix. The infinite matrix is truncated to a finite matrix. The approximation due to the truncation is carefully studied. The band structure of the eigenvalues is shown. The eigenvectors of the multiwells potential are presented. The solutions of Schrodinger equation are calculated. The results are very sensitive to the value of the parameter γ. Localized solutions, in the case that the energy is slightly greater than the maximum value of the potential, are presented. Wigner and Weyl functions, corresponding to the solutions of Schrodinger equation, are also studied. It is also shown that they are very sensitive to the value of the parameter γ.
Increasing Driving Safety and In-Vehicle Gesture-Based Menu Navigation Accuracy with a Heads-up Display

More and more novel functions are being integrated into the vehicle infotainment system to allow individuals to perform secondary tasks with high accuracy and low accident risks. Mid-air gesture interactions are one of them. The current paper will present novel designs to solve a specific issue with this method of interaction: visual distraction within the car. In this study, a Heads-up display (HUD) will be integrated with a gesture-based menu navigation system to allow drivers to see menu selections without looking away from the road. An experiment will be conducted to investigate the potential of this system in improving drivers’ overall safety and gesture interaction accuracy. The experiment will recruit 24 participants to test the system. Participants will provide subjective feedback about the directions for conducting future research and improving the overall experience, as well as objective performance data.
Family of analytic entanglement monotones

We derive a family of entanglement monotones, one member of which turns out to be the negativity. Two others are shown to be lower bounds on the I-concurrence, and on the I-tangle, respectively [P. Rungta and C. M. Caves, to appear in Phys. Rev. A]. We compare these bounds with the I-concurrence and I-tangle on the isotropic states, and on rank-two density operators resulting from a Tavis-Cummings interaction. Our results provide a global structure relating several different entanglement measures. Additionally, they possess analytic forms which are easily evaluated in the most general cases.
In-Vehicle Transitional Interfaces: User Journey in Virtual Reality

In this poster, we investigate novel user-centered methods and techniques for cross-virtuality user journeys for designing in-vehicle experiences. We argue that rapid prototyping of automotive human-machine interfaces (HMIs) can be achieved with mixed reality technology along the reality-virtuality (RV) continuum. For example, standalone virtual reality (VR) head-mounted displays (HMDs) coupled with hand-worn controllers can be utilized to prototype AR interfaces such as windshield displays (WSDs) in order to facilitate an increased level of visual and spatial perception. Subsequently, the prototyped design in VR could be transferred to an AR interface (e.g., using an AR HMD) for further refinements in real-world settings. We believe that transitional interfaces in the automotive domain have the potential to fundamentally improve the design and development of novel in-vehicle visualization and interaction modalities, as well as to enhance user-centered and non-driving related collaborative activities for automated vehicles.
Millimeter-wave user association and low-interference beam scheduling: invited paper

Due to highly directional communication links, millimeter-wave networks are often considered to be noise-limited. However, in dense networks with a small inter-site distance, a large number of users, and many serving beams, the inter- and intra-cell interference cannot be neglected. In this work, we aim to address this issue by proposing an optimization framework for joint user association and beam scheduling in dense millimeter-wave networks. The framework considers a sub-network of base stations that can serve multiple users at the same time using directional beams. The users with specific rate requirements can also steer multiple beams to enable spatial multiplexing or connect with more than one base station at a time. The framework includes an NP-hard combinatorial optimization problem that aims to maximize the number of associated users with satisfied rate requirements using a minimal number of intelligently scheduled non-interfering beams. We propose a low-complexity sub-optimal algorithm to solve the NP-hard problem, and then we numerically evaluate the proposed solution and demonstrate its advantages over the conventional association approaches that do not manage the interference.
Boomtown Columbus: Ohio’s Sunbelt City and How Developers Got Their Way by Kevin R. Cox (review)

have voluntarily surrendered land to the Ponca nation, reversing some of the loss she describes in earlier chapters. In each of her examples, individuals or groups of settlers have established long-term partnerships with Ponca communities founded in a common investment in particular places. She concludes that a wave of such local collaborations, combined with national projects like the current boarding school initiative, might finally establish the conditions for true reconciliation.
A Generalized Acceptance Urn Model

An urn contains two types of balls: p “+t” balls and m “−s” balls, where t and s are positive real numbers. The balls are drawn from the urn uniformly at random without replacement until the urn is empty. Before each ball is drawn, the player decides whether to accept the ball or not. If the player opts to accept the ball, then the payoff is the weight of the ball drawn, gaining t dollars if a “+t” ball is drawn, or losing s dollars if a “−s” ball is drawn. We wish to maximize the expected gain for the player. We find that the optimal acceptance policies are similar to that of the original acceptance urn of Chen et al. [7] with s = t = 1. We show that the expected gain function also shares similar properties to those shown in that work, and note the important properties that have geometric interpretations. We then calculate the expected gain for the urns with t/s rational, using various methods, including rotation and reflection. For the case when t/s is irrational, we use rational approximation to calculate the expected gain. We then give the asymptotic value of the expected gain under various conditions. The problem of minimal gain is then considered, which is a version of the ballot problem. We then consider a Bayesian approach for the general urn, for which the number of balls n is known while the number of “+t” balls, p, is unknown. We find formulas for the expected gain for the random acceptance urn when the urns with n balls are distributed uniformly, and find the asymptotic value of the expected gain for any s and t. Finally, we discuss the probability of ruin when an optimal strategy is used for the (m, p; s, t) urn, solving the problem with s = t = 1. We also show that in general, when the initial capital is large, ruin is unlikely. We then examine the same problem with the random version of the urn, solving the problem with s = t = 1 and an initial prior distribution of the urns containing n balls that is uniform.
Global dust simulations in the multiscale modeling framework

This study investigates the role of subgrid vertical transport in global simulations of soil‐dust aerosols. The evolution and long‐range transport of aerosols are strongly affected by vertical transport. In conventional global models, convective and turbulent transport is highly parameterized. This study applies the superparameterization (SP) framework in which a cloud‐resolving model (CRM) is embedded in each grid cell of a global model to replace these parametric treatments with explicit simulation of subgrid processes at the cloud‐system scale. We apply the implementation of the SP framework in the National Center for Atmospheric Research community atmospheric model (CAM) denoted by SPCAM for dust simulations. We focus on the effects of subgrid transport on dust simulations; thus, the sources and sinks of dust are calculated in the large‐scale CAM grids, and the vertical transport of dust is computed in the CRM. We simulate present‐day distributions of soil‐dust aerosols using CAM and SPCAM operated in chemical transport mode with large‐scale meteorological fields prescribed using the same meteorological reanalysis. Therefore, the differences of dust fields between two models caused by explicit versus parameterized treatments of convective transport are examined. Comparison of dust profiles shows that SPCAM predicts less dust in the low to mid troposphere but relatively higher concentration in the upper troposphere. The larger dust mass in upper troposphere in SPCAM may be related to the dust implementation approach in this study, in which the larger resolved updrafts in CRM for deep convection transport more dust aloft but are not accounted by the removal processes in the CRM grid scale. A slightly higher mobilization flux of less than 5% on an average is shown in SPCAM when compared with CAM. Similar patterns of elevated dry deposition are also produced with increases larger than 100% in some areas. For wet deposition, on average CAM is ∼31% higher than SPCAM. The average burden of dust in the simulated year for SPCAM and CAM is 14.8 and 19.7 Tg, respectively. The time‐scale analysis shows the predicted dust lifetimes in SPCAM are shorter than CAM by approximately 1 day. The differences between CAM and SPCAM demonstrate that process‐oriented treatments of convection can significantly affect the distributions, sources, and sinks of global soil‐dust simulations.
Towards Effective Clustered Federated Learning: A Peer-to-peer Framework with Adaptive Neighbor Matching

In federated learning (FL), clients may have diverse objectives, and merging all clients' knowledge into one global model will cause negative transfer to local performance. Thus, clustered FL is proposed to group similar clients into clusters and maintain several global models. In the literature, centralized clustered FL algorithms require the assumption of the number of clusters and hence are not effective enough to explore the latent relationships among clients. In this paper, without assuming the number of clusters, we propose a peer-to-peer (P2P) FL algorithm named PANM. In PANM, clients communicate with peers to adaptively form an effective clustered topology. Specifically, we present two novel metrics for measuring client similarity and a two-stage neighbor matching algorithm based Monte Carlo method and Expectation Maximization under the Gaussian Mixture Model assumption. We have conducted theoretical analyses of PANM on the probability of neighbor estimation and the error gap to the clustered optimum. We have also implemented extensive experiments under both synthetic and real-world clustered heterogeneity. Theoretical analysis and empirical experiments show that the proposed algorithm is superior to the P2P FL counterparts, and it achieves better performance than the centralized cluster FL method. PANM is effective even under extremely low communication budgets.