Miracle-dz/UniFAR-FTUs huggingface dataset:
PENGARUH PROFITABILITAS TERHADAP HARGA SAHAM PADA PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BEI

ABSTRACT This research is meant to analyze about the influence of earnings per share, net profit margin and return on investment on share price. The population is all food and beverages sector manufacturing companies which are listed in Indonesia Stock Exchange in 2012-2015 periods which have been selected by using purposive sampling and based on specified criteria therefore 9 companies with 36 firm years which have met the criteria. The analysis method used is multiple regressions analysis, classical assumption test, model feasibility test, and t test. Based on the result of the multiple regressions analysis and t test with its significance level 5%, the results showed that test the feasibility of the model earnings per share, net profit margin, and return on investment give significant influenceto the share price indicates that this ratio becomes one of the considerations for potential investors to invest their capital. Partially, earnings per share, net profit margin and return on investment give significant influence to the share price. It indicates that the investors in making investment decisions always conduct analysis to gain more accurate data when investing with technical and fundamental analyzes. Keywords: earnings per share, net profit margin, return on investment and share price.
Mountain Waves, Downslope Winds, and Low-Level Blocking Forced by a Midlatitude Cyclone Encountering an Isolated Ridge

AbstractThe interaction of a midlatitude cyclone with an isolated north–south mountain barrier is examined using numerical simulation. A prototypical cyclone develops from an isolated disturbance in a baroclinically unstable shear flow upstream of the ridge, producing a cold front that interacts strongly with the topography. The structure and evolution of the lee waves launched by the topography are analyzed, including their temporal and their north–south variation along the ridge. Typical mountain wave patterns are generated by a 500-m-high mountain, but these waves often exhibit significant differences from the waves produced in 2D or 3D simulations with steady large-scale-flow structures corresponding to the instantaneous conditions over the mountain in the evolving flow. When the mountain height is 2 km, substantial wave breaking occurs, both at low levels in the lee and in the lower stratosphere. Despite the north–south uniformity of the terrain profile, large north–south variations are apparent in w.
Hybrid Techniques for Simulating Quantum Circuits using the Heisenberg Representation.

Simulation of quantum information processing remains a major challenge with important applications for quantum computer science and engineering. Generic quantum-circuit simulation appears intractable for conventional computers and may be unnecessary because useful quantum circuits exhibit significant structure that can be exploited during simulation. For example, Gottesman identified an important subclass, called stabilizer circuits, which can be simulated efficiently using the Heisenberg representation for quantum computers. Stabilizer circuits are exclusively composed of stabilizer gates – Hadamard, Phase and CNOT – followed by computational-basis measurements. Such circuits are applied to a computational-basis state and produce so-called stabilizer states. Aaronson generalized stabilizercircuit simulation to additionally handle a small number of non-stabilizer gates. We design new, more efficient data structures and algorithms for such beyond-stabilizer simulation using superpositions of stabilizer states. Our primary data structure, called stabilizer frame, offers more compact storage than previous approaches but requires additional algorithms to maintain the global phases of each state in the superposition. To explore the advantages and limitations of frame-based simulation, we analyze the geometric structure of stabilizer states and design efficient algorithms for computing distances, angles and volumes between them. The main advantages are: (i) stabilizer subcircuits are simulated with high efficiency, (ii) superpositions can be restructured and compressed on the fly to reduce resource requirements, and (iii) operations performed on such superpositions lend themselves to parallel processing. Our software implementation, called Quipu, simulates certain quantum arithmetic circuits and quantum Fourier transform circuits in polynomial time and space for specific input states. On such instances, linear-algebraic techniques, such as the (state-of-the-art) BDD-based simulator QuIDDPro, take exponential time. We simulate quantum fault-tolerant circuits, and the results indicate that Quipu empirically outperforms QuIDDPro in all cases. While previous structure-aware simulators were difficult to parallelize, we demonstrate a parallel version of Quipu that achieves a computational speedup. Chair: Prof. Igor Markov Hybrid Techniques for Simulation of Quantum Circuits Using the Heisenberg Representation Hector Garcia CSE Dissertation Defense Thurs. , December 12, 2013 10:00 am – 12:00 noon 3725 Beyster Building
A survey of results on conservation laws with deterministic and random initial data

This expository paper examines key results on the dynamics of nonlinear conservation laws with random initial data and applies some theorems to physically important situations. Conservation laws with some nonlinearity, e.g. Burgers' equation, exhibit discontinuous behavior, or shocks, even for smooth initial data. The introduction of randomness in any of several forms into the initial condition renders the analysis extremely complex. Standard methods for tracking a multitude of shock collisions are difficult to implement, suggesting other methods may be needed. We review several perspectives into obtaining the statistics of resulting states and shocks. We present a spectrum of results from a number of works, both deterministic and random. Some of the deep theorems are applied to important discrete examples where the results can be understood in a clearer, more physical context.
DOCUMENTOS DE ECONOMIA Y FINANZAS INTERNACIONALES

This paper uses a combination of VAR and bootstrapping techniques to analyze whether the exchange rates of some New Member States of the EU have been used as output stabilizers (those of the Czech Republic, Hungary and Poland), during 1993-2004. This question is important because it provides a prior evaluation on the costs and bene ts involved in entering the European Monetary Union (EMU). Joining the EMU is not optional for these countries but mandatory, although there is no de nite deadline. Therefore, if the exchange rate works as a shock absorber, monetary independence could be retained for a longer period. Our main nding is that the exchange rate could be a stabilizing tool in Poland and the Czech Republic, although in Hungary it appears to act as a propagator of shocks. In addition, in these three countries, demand and monetary shocks account for most of the variability in both nominal and real exchange rates. JEL Classi cation Numbers: C31, F31, F33.
A prospective randomized controlled multicenter trial of duodenoscopes with 5° and 15° backward-oblique angle using wire-guided cannulation : effects on selective cannulation of the common bile duct in endoscopic retrograde cholangiopancreatography

Title A prospective randomized controlled multicenter trial of duodenoscopes with 5° and 15° backward-oblique angle using wire-guided cannulation : effects on selective cannulation of the common bile duct in endoscopic retrograde cholangiopancreatography Author(s) Kawakami, Hiroshi; Maguchi, Hiroyuki; Hayashi, Tsuyoshi; Yanagawa, Nobuyuki; Chiba, Atsushi; Hisai, Hiroyuki; Amizuka, Hisato Citation Journal of Gastroenterology, 44(11): 1140-1146 Issue Date 2009-11 Doc URL http://hdl.handle. net/2115/39987 Rights The original publication is available at www.springerlink. com Type article (author version) File Information JG44-11_1140. pdf
How Well do we Understand the Dynamics of Stratospheric Warmings

Ever since Matsuno's pioneering numerical simulations of the stratospheric sudden warming there has been little reason to doubt that this spectacular natural phenomenon is essentially dynamical in origin. But theoretical modelling, and the use of satellite observations, are only just reaching the stage where there seem to be prospects of understanding stratospheric warmings in some detail and forecasting them reasonably well. An informal discussion of recent progress is given, and suggestions are made for future work, including a way of avoiding spurious resonances in mechanistic numerical models in which tropospheric motions are prescribed a priori.
Continuous Positive Airway Pressure reduces daytime sleepiness in mild-moderate obstructive sleep apnoea: Meta-analysis

Background: Obstructive Sleep Apnoea Syndrome (OSAS) affects an estimated 24% of the middle-aged population. Meta-analyses of randomised controlled trials have shown that the severe presentation of the syndrome (Apnoea Hypopnoea Index > 30/hr) is effectively treated with Continuous Positive Airway Pressure (CPAP). Until recently there has been insufficient data to determine whether CPAP improves sleepiness in the larger sub-group with mild-to-moderate OSAS (AHI 5-30/hr). Methods: A systematic search of MEDLINE and a hand search identified seven randomised controlled trials where CPAP was compared to either a placebo or to conservative management in the treatment of mild-moderate OSAS (AHI 5-30/hr). All trials used the Epworth Sleepiness Scale (ESS), four the Multiple Sleep Latency Test (MSLT), and three the Maintenance of Wakefulness Test (MWT) to measure sleepiness. Results: Meta-analyses indicated that CPAP significantly reduced subjective daytime sleepiness (Epworth Sleepiness Scale) by 1.2 points (95% CI 0.5 to 1.9, p=0.001), improved objective daytime wakefulness (Maintenance of Wakefulness Test) by 2.1 mins (95% CI 0.5 to 3.7, p=0.011), but did not affect objective daytime sleepiness (Multiple Sleep Latency Test, mean benefit -0.2 mins, 95% CI -1.0 to 0.6, p=0.6). The two significant effects were small (Effect size <0.30). Conclusions: Continuous Positive Airway Pressure elicits small improvements in subjective sleepiness and objective wakefulness in people with mild-moderate obstructive sleep apnoea syndrome. However, the effects on sleepiness are of limited clinical significance. Abstract word count: 226
Adaptive Model Predictive Control for High-Accuracy Trajectory Tracking in Changing Conditions

Robots and automated systems are increasingly being introduced to unknown and dynamic environments where they are required to handle disturbances, unmodeled dynamics, and parametric uncertainties. Robust and adaptive control strategies are required to achieve high performance in these dynamic environments. In this paper, we propose a novel adaptive model predictive controller that combines model predictive control (MPC) with an underlying $\mathcal{L}_{1}$ adaptive controller to improve trajectory tracking of a system subject to unknown and changing disturbances. The $\mathcal{L}_{1}$ adaptive controller forces the system to behave in a predefined way, as specified by a reference model. A higher-level model predictive controller then uses this reference model to calculate the optimal reference input based on a cost function, while taking into account input and state constraints. We focus on the experimental validation of the proposed approach and demonstrate its effectiveness in experiments on a quadrotor. We show that the proposed approach has a lower trajectory tracking error compared to non-predictive, adaptive approaches and a predictive, nonadaptive approach, even when external wind disturbances are applied.
Two – Dimensional Euler Computations of a Laval Nozzle Done Through the Finite Volume Method

In the present report an algorithm for analysis of two – dimensional internal flow of compressible atmospheric air is presented. The algorithm treats the integral form of the governing Euler system of PDEs by employing the so – called Cell Centered Finite Volume Method along a quadrilateral structured grid the computational domain has been discretised through. The numerical fluxes formed are augmented further following Godunov’s idea that it is the approximate Riemann problem that should be solved exactly about each wall of the computational cell. Thus, the all-shock solution of Roe has been used to allow acoustic disturbances within the computational domain. The time derivative is computed either by the explicit one-step six-stage Runge – Kutta scheme. The boundary conditions have been determined observing the rule that the nozzle’s wall should be impermeable. The so-formed algorithm has been applied to a Laval nozzle attempting to verify its applicability to engineering problems in particular. The numerical results are compared with experimental data.
Haptic Rendering: Introductory Concepts

n the past decade we've seen an enormous increase in interest in the science of haptics. The quest for better understanding and use of haptic abilities (both human and nonhuman) has manifested itself in heightened activity in disciplines ranging from robotics and telerobotics; to computational geometry and computer graphics; to psychophysics, cognitive science , and the neurosciences. This issue of IEEE CG&A focuses on haptic rendering. Haptics broadly refers to touch interactions (physical contact) that occur for the purpose of perception or manipulation of objects. These interactions can be between a human hand and a real object; a robot end-effector and a real object; a human hand and a simulated object (via haptic interface devices); or a variety of combinations of human and machine interactions with real, remote, or virtual objects. Rendering refers to the process by which desired sensory stimuli are imposed on the user to convey information about a virtual haptic object. At the simplest level, this information is contained in the representation of the object's physical attributes—shape, elasticity, texture, mass, and so on. Just as a sphere visually rendered with simple shading techniques will look different from the same sphere rendered with ray-tracing techniques, a sphere haptically rendered with a simple penalty function will feel different from the same sphere rendered with techniques that also convey mechanical textures and surface friction. As in the days when people were astonished to see their first wire-frame computer-generated images, people are now astonished to feel their first virtual object. Yet the rendering techniques we use today will someday seem like yesterday's wire-frame displays—the first steps into a vast field. To help readers understand the issues discussed in this issue's theme articles, we briefly survey haptic systems and the techniques needed for rendering the way objects feel. We also discuss basic haptic-rendering algorithms that help us decide what force should be exerted and how we will deliver these forces to users. A sidebar discusses key points in the history of haptics. Virtual reality (VR) applications strive to simulate real or imaginary scenes with which users can interact and perceive the effects of their actions in real time. Ideally the user interacts with the simulation via all five senses ; however, today's typical VR applications rely on a smaller subset, typically vision, hearing, and more recently, touch. Figure 1 shows the structure of a VR application incorporating visual, auditory, and haptic feedback. …
Optimum window length of Savitzky-Golay filters with arbitrary order

One of the widely used denoising methods in different domains is the Savitzky-Golay (SG) filter. The SG filter has two design parameters: window length and the filter order. As the length of the window increases, the estimation variance decreases, but the bias error increases at the same time. Mean square error (MSE) measure includes both bias and variance criteria. In this paper, we obtain the optimal window length of an SG filter with arbitrary order which minimizes the MSE. To achieve the optimal window length, we propose an algorithm whose performance is better than the existing methods. In this paper, we follow the viewpoint proposed by Persson and Strang and design the filter on the basis of Chebyshev orthogonal polynomials
The Colorado Ultraviolet Transit Experiment (CUTE): a dedicated cubesat mission for the study of exoplanetary mass loss and magnetic fields

The Colorado Ultraviolet Transit Experiment (CUTE) is a near-UV (2550 - 3300 Å) 6U cubesat mission designed to monitor transiting hot Jupiters to quantify their atmospheric mass loss and magnetic fields. CUTE will probe both atomic (Mg and Fe) and molecular (OH) lines for evidence of enhanced transit absorption, and to search for evidence of early ingress due to bow shocks ahead of the planet’s orbital motion. As a dedicated mission, CUTE will observe ⪆ 60 spectroscopic transits of hot Jupiters over a nominal seven month mission. This represents the equivalent of > 700 orbits of the only other instrument capable of these measurements, the Hubble Space Telescope. CUTE efficiently utilizes the available cubesat volume by means of an innovative optical design to achieve a projected effective area of ∼ 22 cm2 , low instrumental background, and a spectral resolving power of R ∼ 3000 over the entire science bandpass. These performance characteristics enable CUTE to discern a transit depth of ⪅1% in individual spectral absorption lines. We present the CUTE optical and mechanical design, a summary of the science motivation and expected results, and an overview of the projected fabrication, calibration and launch timeline.
Robustness of quantum neural calculation increases with system size

Noise and decoherence are two major obstacles to the implementation of large-scale quantum computing. Because of the no-cloning theorem, which says we cannot make an exact copy of an arbitrary quantum state, simple redundancy will not work in a quantum context, and unwanted interactions with the environment can destroy coherence and thus the quantum nature of the computation. Because of the parallel and distributed nature of classical neural networks, they have long been successfully used to deal with incomplete or damaged data. In this work, we show that our model of a quantum neural network (QNN) is similarly robust to noise, and that, in addition, it is robust to decoherence. Moreover, robustness to noise and decoherence is not only maintained but improved as the size of the system is increased. Noise and decoherence may even be of advantage in training, as it helps correct for overfitting. We demonstrate the robustness using entanglement as a means for pattern storage in a qubit array. Our results provide evidence that machine learning approaches can obviate otherwise recalcitrant problems in quantum computing.
Computerized Clinical Decision Support System for Prompting Brief Alcohol Interventions with Treatment Seeking Smokers: A Sex-Based Secondary Analysis of a Cluster Randomized Trial

Although brief alcohol intervention can reduce alcohol use for both men and women, health care providers (HCPs) are less likely to discuss alcohol use or deliver brief intervention to women compared to men. This secondary analysis examined whether previously reported outcomes from a cluster randomized trial of a clinical decision support system (CDSS)—prompting delivery of a brief alcohol intervention (an educational alcohol resource) for patients drinking above cancer guidelines—were moderated by patients’ sex. Patients (n = 5702) enrolled in a smoking cessation program at primary care sites across Ontario, Canada, were randomized to either the intervention (CDSS) or control arm (no CDSS). Logistic generalized estimating equations models were fit for the primary and secondary outcome (HCP offer of resource and patient acceptance of resource, respectively). Previously reported results showed no difference between treatment arms in HCP offers of an educational alcohol resource to eligible patients, but there was increased acceptance of the alcohol resource among patients in the intervention arm. The results of this study showed that these CDSS intervention effects were not moderated by sex, and this can help inform the development of a scalable strategy to overcome gender disparities in alcohol intervention seen in other studies.
Superpixel-based graph cuts for accurate stereo matching

Estimating the surface normal vector and disparity of a pixel simultaneously, also known as three-dimensional label method, has been widely used in recent continuous stereo matching problem to achieve sub-pixel accuracy. However, due to the infinite label space, it’s extremely hard to assign each pixel an appropriate label. In this paper, we present an accurate and efficient algorithm, integrating patchmatch with graph cuts, to approach this critical computational problem. Besides, to get robust and precise matching cost, we use a convolutional neural network to learn a similarity measure on small image patches. Compared with other MRF related methods, our method has several advantages: its sub-modular property ensures a sub-problem optimality which is easy to perform in parallel; graph cuts can simultaneously update multiple pixels, avoiding local minima caused by sequential optimizers like belief propagation; it uses segmentation results for better local expansion move; local propagation and randomization can easily generate the initial solution without using external methods. Middlebury experiments show that our method can get higher accuracy than other MRF-based algorithms.
Psychometric properties of the Italian version of the Scales for Outcomes in Parkinson’s disease- Cognition (SCOPA-Cog)

a Neurology Section, S. Gerardo Hospital, Monza, University of Milan Bicocca, Milan, Italy b Parkinson Institute, Istituti Clinici di Perfezionamento, Milan, Italy c Department of Neurology, IRCCS San Camillo, Venice, University of Padua, Italy d Department of Neuroscience, University of Pisa, Italy e Neurology Section, Campo di Marte Hospital, Lucca, Italy f Neurology Section, G. Salvini Hospital, Garbagnate, Italy
Quantile Instrumental Variable Estimates of the Price Elasticity of Expenditure on Medical Care ∗

Efforts to control medical care costs depend critically on how individuals respond to prices. I estimate the price elasticity of expenditure on medical care using a new censored quantile instrumental variable (CQIV) estimator. CQIV allows estimates to vary across the conditional expenditure distribution, relaxes traditional censored model assumptions, and addresses endogeneity with an instrumental variable. My instrumental variable strategy uses a family member’s injury to induce variation in an individual’s own price. Across the conditional deciles of the expenditure distribution, I find elasticities that vary from -1.26 to -1.50, which are an order of magnitude larger than previous estimates.