Miracle-dz/UniFAR-FTUs huggingface dataset:
Association rules mining in stock time series model

In order to assist stock investors to make reasonable decision,it's required to lucubrate on association rules analysis.The classical researches focus on the mining of associated items within the same transaction record,thus have no forecasting value.To solve this problem,a time series model is built in this paper,which can express the associations within not only the same but also the different transaction records.Then we present two mining algorithms named Optimized Apriori and ES-Apriori that can optimize the inefficient Apriori.The model and algorithms are proved to be efficient and correct by experiments.The mining results can reflect the practical information in stock market,and can be helped to guide the investors.
Testing X-Ray Measurements of Galaxy Clusters with Cosmological Simulations

X-ray observations of galaxy clusters potentially provide powerful cosmological probes if systematics due to our incomplete knowledge of the ICM physics is understood and controlled. In this paper we present mock Chandra analyses of cosmological cluster simulations and assess X-ray measurements of galaxy cluster properties using a model and procedure essentially identical to that used in real data analysis. We show that reconstruction of three-dimensional ICM density and temperature profiles is excellent for relaxed clusters, but still reasonably accurate for unrelaxed systems. The total ICM mass is measured quite accurately (≲6%) in all clusters, while the hydrostatic estimate of the gravitationally bound mass is biased low by about 5%-20% through the virial region, primarily due to additional pressure support provided by subsonic bulk motions in the ICM, ubiquitous in our simulations even in relaxed systems. Gas fraction determinations are therefore biased high; the bias increases toward cluster outskirts and depends sensitively on its dynamical state, but we do not observe significant trends of the bias with cluster mass or redshift. We also find that different average ICM temperatures, such as the X-ray spectroscopic Tspec and gas-mass-weighted Tmg, are related to each other by a constant factor with a relatively small object-to-object scatter and no systematic trend with mass, redshift, or the dynamical state of clusters. We briefly discuss direct applications of our results for different cluster-based cosmological tests.
The role of disaggregation of earnings in stock valuation and earnings forecasting

This paper compares and contrasts two accounting information systems, the aggregate earnings system and the disaggregated cash flow/accrual system, examining their relative performance in stock valuation and in forecasting of earnings. It finds, in general, that the forecasts of earnings and predicted market values from the cash flow and accrual system have smaller forecasting errors than those from the aggregate earnings system. The adjusted R-squareds from the disaggregated system are in the main higher than those from the aggregated system when considering the explanatory power of the model-predicted values. The results also show that the cash flow and accrual system forecasts dominate the aggregate earnings system forecasts in a large majority of industries.
What are the Effects of Fiscal Policy Shocks? A VAR-based Comparative Analysis

The empirical literature using vector autoregressive models to assess the effects of fiscal policy shocks strongly disagrees on even the qualitative response of key macroeconomic variables to government spending and tax shocks. We provide new evidence for the U.S. over the period 1955-2006. We show that, controlling for differences in specification of the reduced-form model, all identification approaches used in the literature yield qualitatively and quantitatively very similar results as regards government spending shocks. In response to such shocks real GDP, real private consumption and the real wage all significantly increase following a hump-shaped pattern, while private employment does not react. In contrast, we find strongly diverging results as regards the effects of tax shocks, with the estimated effects ranging from non-distortionary to strongly distortionary. The di¤erences in results can to a large extent be traced back to differences in the size of automatic stabilizers estimated or calibrated for alternative identification approaches. These differences also translate into uncertainty about the effects of policy experiments typically considered in theoretical models. JEL Classification: C32, E60, E62, H20, H5
Noisy juries and the choice of trial mode in a sequential signalling game: Theory and evidence

In this article we attempt to determine the impact of a defendant's strategic choice of trial mode on the judicial process. In a sequential signalling game setting, we model a criminal trial using varying assumptions regarding the sophistication of the agents, while maintaining the assumption that the information processing of juries is noisier than that of judges. We demonstrate that under certain sets of assumptions, more defendants may choose a jury trial, even though the equilibrium conviction rate is higher. This and other hypotheses suggested by our analysis are tested on a sample of actual trial results.
Mathematical programming for influence diagrams

Influence Diagrams (ID) are a flexible tool to represent discrete stochastic optimization problems, including Markov Decision Process (MDP) and Partially Observable MDP as standard examples. More precisely, given random variables considered as vertices of an acyclic digraph, a probabilistic graphical model defines a joint distribution via the conditional distributions of vertices given their parents. In ID, the random variables are represented by a probabilistic graphical model whose vertices are partitioned into three types : chance, decision and utility vertices. The user chooses the distribution of the decision vertices conditionally to their parents in order to maximize the expected utility. Leveraging the notion of rooted junction tree, we present a mixed integer linear formulation for solving an ID, as well as valid inequalities, which lead to a computationally efficient algorithm. We also show that the linear relaxation yields an optimal integer solution for instances that can be solved by the "single policy update", the default algorithm for addressing IDs.
Preprints of the Max Planck Institute for Research on Collective Goods Bonn 2005/7 Monopoly Prices versus Ramsey-Boiteux Prices: Are they "similar", and: Does it matter?

Ramsey-Boiteux prices and monopoly prices are frequently regarded as being similar. This might suggest that, in particular in network industries with large xed costs, sometimes monopoly pricing is close to the Ramsey-Boiteux second best and welfare superior to imperfectly regulated prices. This paper tries to specify what is meant by "being similar", and it analyzes the welfare implications that can be drawn from comparing both sets of prices. Interdependence of demand and the impact of competition are discussed. We reinforce the view that monopoly prices are usually not "similar", and even if they are, this implies no positive welfare judgments on monopoly pricing. Key words: Ramsey Pricing, Regulation, Access Pricing, Termination JEL-Classi cation: L33, L50, L94
Contemporary Issues In Accounting

Thank you for reading contemporary issues in accounting. Maybe you have knowledge that, people have search hundreds times for their chosen readings like this contemporary issues in accounting, but end up in malicious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they juggled with some infectious virus inside their computer. contemporary issues in accounting is available in our digital library an online access to it is set as public so you can download it instantly. Our book servers hosts in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the contemporary issues in accounting is universally compatible with any devices to read.
Política comercial endógena brasileira: 1991-1998

This paper presents an empirical contribution to the identification of Grossman-Helpman's "Protection for Sale" parameters model for Brazilian trade policy, based on robust estimations techniques, which means the use of instrumental variables in a 2SLS for Generalized Method of Moments and Limited Information Maximum Likelihood methods for weak instruments with corrections of size tests, in order to correct endogenous bias. The results suggest that the political economy of Brazil's trade policy is an outlier in international comparisons, as the identification of structural parameters for Protection for Sale model shows a low part of population represented by an interest group and low weight of the welfare function.
ENTANGLED BELL AND GREENBERGER-HORNE-ZEILINGER STATES OF EXCITONS IN COUPLED QUANTUM DOTS

We show that excitons in coupled quantum dots are ideal candidates for reliable preparation of entangled states in solid-state systems. An optically controlled exciton transfer process is shown to lead to the generation of Bell and Greenberger-Horne-Zeilinger states in systems comprising two and three coupled dots, respectively. The strength and duration of selective light pulses for producing maximally entangled states are identified by both analytic and full numerical solution of the quantum dynamical equations. Experimental requirements to build such entangled states are discussed.
Behavioural Corporate Finance: Existing Research and Future Directions

Behavioural corporate finance (BCF) examines the effects of managerial and investor psychological biases on a firm's corporate finance decisions (such as investment appraisal and capital structure). In contrast to the well-developed research in behavioural finance (which examines the effects of investors' biases on the behaviour of the financial markets), the emerging research in BCF is relatively young. In this paper, we review the existing research to date in BCF and suggest areas for future development.
ECHO: A Layered Model for the Design of a Context-Aware Learning Experience

Web-based learning is a multifaceted phenomenon informed by a spectrum of theories. Theories of communication (Alavi & Leidner, 2001; Rafaeli & Raban, 2005; Te’eni, 2001) eLearning (Al-Kahlifa & Davies, 2007; Paavola et al., 2004; Parameswaran & Whinston, 2007; Schmidt, 2005; Schmidt, 2008; Tzitzikas et al., 2006) and eLearning 2.0 (Downes, 2005; Ebner, 2007; O`Hear, 2006) guide the design of the learning processes and media integration. Theories of knowledge management (Grace & Butler, 2005; Nonaka & Tekeuchi, 1995), information science (Hjorland, 1997; Latham, 2002; Muresan AbsTRACT
Exploiting Captions for Web Data Mining

We survey research on using captions in data mining from the Web. Captions are text that describes some other information (typically, multimedia). Since text is considerably easier to analyze than non-text, a good way to support access to non-text is to index the words of its captions. However, captions vary considerably in form and content on the Web. We discuss the range of syntactic clues (such as HTML tags) and semantic clues (such as particular words). We discuss how to quantify clue strength and combine clues for a consensus. We then discuss the problem of mapping information in captions to information in media objects. While it is hard, classes of mapping schemes are distinguishable, and a segmentation of the media can be matched to a parse of the caption.
What Systematic Reviews Exist for the Effectiveness of Orthopaedic Interventions

Introduction: Orthopaedics procedures are frequent and expensive, but highly cost effective in improving the quality of life. The purpose of this study was to determine the number and topics of systematic overviews on the effectiveness of orthopaedic interventions. Methods: We performed a review of PubMed, Ovid Embase, Scopus, OrthoEvidence, and the Cochrane Library for dates of publication from January 1, 2006, to February 3, 2017, to identify systematic overviews of randomized clinical trials for the effectiveness of therapeutic interventions involving orthopaedic surgeons. Abstracts were excluded based on the following sequentially applied criteria: (1) the systematic review did not include an intervention for an orthopaedic condition; the intervention was not therapeutic; the intervention was not likely to be applied or influenced by an orthopaedic surgeon; (2) the study was not a systematic review or the study was a single randomized controlled trial, and/or it included nonhuman studies; (3) the systematic review included nonrandomized studies; and (4) the systematic review did not state moderate or strong evidence in support of the study conclusion(s). Results: Of the 6,864 abstracts found in the searches, 6,145 were excluded yielding 719 systematic overviews. Contrary to conventional wisdom, this study identified 719 reviews of randomized controlled trials of therapeutic orthopaedic interventions. The interventions were classified as surgical in 383 (55%), medication in 245 (34%), and rehabilitation in 42 (6%), and other nonsurgical interventions in 39 (5%). Discussion: This study identified many systematic overviews of orthopaedic interventions. The findings of this study could both influence clinical practice and, given the frequency of orthopaedic procedures, have a major public health impact.
Efficient Regular Expression Grouping Algorithm Based on Label Propagation

Regular expression grouping is the practical way to address the state explosion problem of Deterministic Finite Automaton (DFA). Previous grouping algorithms have poor grouping time, and difficult to meet application needs. In this work, we present an efficient regular expression grouping algorithm based on label propagation. Through the deterministic initial grouping and based on similarity of the propagation process to achieve faster convergence. Experimental results show that. Compared with other algorithms, GBLP algorithm has the minimum total number of states and grouping time for the same number of groups.
Modern Approaches of Data Mining: Theory and Practice

Our book includes some state-of-the-art classical and non-classical approaches of data mining and given a well-balanced treatment of both theory and practice. This book is presented in a simple and lucid manner. Many case studies are provided for easy understanding of the readers. Hybrid approaches are new and included in this text. Application to intrusion detection attracts more researchers to this. Recently, Data Mining (DM) algorithms have been successfully applied in IDS in order to uncover new insights, associations and hidden patterns within large data set of logs and messages.
Export Performance: A Conceptualization and Empirical Assessment

Export performance has been a central construct in the study of export marketing. Several studies have attempted to identify organizational and managerial antecedents of export performance and assess the relative importance of these antecedents. However, despite these fruitful efforts, there is little agreement in the literature about a conceptual definition of export performance, as well as about its operational definition. This article follows up on two previous articles that dealt with export performance conceptually (Madsen 1987; Shoham 1991) and uses a similar, three-dimensional conceptualization of export performance. This conceptualization is explored empirically with data from 93 Israeli exporters. The data indicate that there are indeed three dimensions to export performance, though the structure of these dimensions is somewhat different from expectations.
Software Support for Advanced Cephalometric Analysis in Orthodontics

Cephalometric analysis has been a routine diagnostic procedure in Orthodontics for more than 60 years, traditionally employing the measurement of angles and distances on lateral cephalometric radio-graphs. Recently, advances in geometric morphometric (GM) methods and computed tomography (CT) hardware, together with increased power of personal computers, have created a synergic effect that is revolutionizing the cephalometric field. This chapter starts with a brief introduction of GM methods, including Procrustes superimposition, Principal Component Analysis, and semilandmarks. CT technology is discussed next, with a more detailed explanation of how the CT data are manipulated in order to visualize the patient’s anatomy. Direct and indirect volume rendering methods are explained and their application is shown with clinical cases. Finally, the Viewbox software is described, a tool that enables practical application of sophisticated diagnostic and research methods in Orthodontics.
A Simultaneous Equation Analysis Of The Relationship Between Foreign Direct Investment, Public Expenditure And Economic Growth In Nigeria

The objective of the paper is to empirically examine the effect of FDI and public expenditure on the Nigerian economy. The simultaneous equation estimation was carried out in the study. From the elasticity-multiplier coefficient table, it became obvious that infrastructure measured by power generation is highly germane in stimulating economic growth and foreign direct investment. The study thus recommends the need for significant infrastructure such as power supply.
Feature extraction from range images in 3D modeling of urban scenes

Since data acquisition is executed outdoors, the quality of data is not very satisfactory, and special treatments are involved in our extraction methods in order to provide rich and accurate feature information for processing at upper level. In plane extraction, planar cluster-selection & filtering algorithm is proposed to overcome the classic antinomy about size of the window used to test planarity; in line segment extraction, segments grow along the boundaries to overcome the misleading effect of those irregular jump-edge points created by tree leaves. Experiment results verify that the algorithms are quite effective for the range data where much noise from trees, parking cars and pedestrians exists.
The Research on Efficiency of Commercial Banks Based on Network DEA Approach -- Empirical Evidence from Chinese Commercial Banks

The paper evaluates technical e‐ciency, pure technical e‐ciency and scale e‐ciency of 13 commercial banks for the period of 2009-2011. DEA model considers deposit as intermediate variable, i.e. both as input and output element, which is better than traditional DEA approach because traditional approach always has di‐culty in deciding deposits as input or output when evaluating bank’s e‐ciency. The empirical result shows: (i) Chinese banks are less in∞uenced by flnancial crisis than other countries. The technical e‐ciency is at relatively high level and keeps climbing; (ii) 4 state-owned commercial banks have lower technical e‐ciency than joint-stock banks, but they have no lower pure technical e‐ciency than joint-stock banks, and actually they perform rather stably; (iii) The technical ine‐ciency of Chinese banks is more caused by scale ine‐ciency, which now is becoming the leading reason. On the basis of e‐ciency ranking of commercial banks and the reasons of low e‐ciency of commercial banks, we also discussed some policy suggestion on improving the e‐ciency of Chinese commercial banks.
An Empirical Study of Competition in Municipal Service Delivery

quality of his work on another kind of effort; but experience refutes this belief. Few government officials believe that selecting and monitoring contractors for several sharply focused studies is just as quick and easy and more satisfying than doing one omnibus contract for a multi-pronged study; but experience shows that it is. 10. Require few formal reports from the contractor; depend on frequent informal contacts. The more formal, written reports required from the contractor, the more the study effort will be spent on composing, typing, editing, and reproducing reports and the less chance the contractor will have to make up for delays in data availability, to adapt procedures to take advantage of lessons learned along the way, or simply to think about the information being developed. Furthermore, written reports are nearly useless vehicles for monitoring a project's progress; if the technical monitor doesn't know what's going on through frequent informal contracts, he or she is not going to find out through contractor-prepared status reports. Ideally, each agency should have clear procedures on how contract studies are to be monitored. A rule of thumb: the RFP should ask for formal reports only if they will be needed as separate final products when the study effort is over. These ten suggestions are not ivory tower speculations; they stem from the "real world" of evaluation contracting. Following them will not require any increase in time, manpower, or resources than an agency is already spending although admittedly it may require challenging some deeply entrenched misconceptions. But others have done it. The rewards in improved quality and utility of evaluation findings will be worth the effort.
Ballistic transport in the one-dimensional Hubbard model: The hydrodynamic approach

We outline a general formalism of hydrodynamics for quantum systems with multiple particle species which undergo completely elastic scattering. In the thermodynamic limit, the complete kinematic data of the problem consist of the particle content, the dispersion relations, and a universal dressing transformation which accounts for interparticle interactions. We consider quantum integrable models and we focus on the one-dimensional fermionic Hubbard model. By linearizing hydrodynamic equations, we provide exact closed-form expressions for Drude weights, generalized static charge susceptibilities, and charge-current correlators valid on the hydrodynamic scale, represented as integral kernels operating diagonally in the space of mode numbers of thermodynamic excitations. We find that, on hydrodynamic scales, Drude weights manifestly display Onsager reciprocal relations even for generic (i.e., noncanonical) equilibrium states, and establish a generalized detailed balance condition for a general quantum integrable model. We present exact analytic expressions for the general Drude weights in the Hubbard model, and explain how to reconcile different approaches for computing Drude weights from the previous literature.
Una aproximación basada en aprendizaje automático para diversos problemas de procesamiento de lenguaje natural en redes sociales

This work is focused on solving several Natural Language Processing tasks, for which an approach based on machine learning algorithms was used. The tasks addressedwere: language identification, sentiment analysis and author profiling. These tasks were proposed by international competitions which have led to publish several papers. A data set of social media texts were used in these tasks, mainly from Twitter. Overall, these texts present some characteristics (short andungramatical texts) that are challenging for Natural Language Processing techniques. For each task, the state-of-the-art is studied and a model to solve the task is proposed. In order to create a valid model, several resources and supervised machine learning techniques were used. Finally, the results obtained were analyzed and improvements to the model were proposed to enhance the behavior of the model.