Miracle-dz/UniFAR-FTUs huggingface dataset:
ON SPLITTING SCHEMES OF PREDICTOR-CORRECTOR TYPE IN MIXED FINITE ELEMENT METHOD

In this work we develop a previously proposed approach to constructing vector splitting schemes for heat transfer problem solved by mixed finite element method on rectangular meshes. As was shown numerically before, a particular flux splitting scheme based the alternating direction scheme for flux divergence has no convergence for some smooth test solutions. We provide theoretical analysis of the stability estimates for the scheme based on the eigensystem information. The main drawback of that particular flux splitting scheme is the nonzero component of the heat flux in the kernel of divergence operator. Based on the analysis and numerical experiments we suggest, explain and verify numerically that flux splitting schemes obtained from predictorcorrector schemes for flux divergence don’t have this drawback. The main conclusion is that due to the presence of simple and strong stability estimates one should prefer using predictor-corrector type of schemes for the heat flux rather than others.
Abstract—in This Paper We Focused on Designing a Novel Hybrid Regional Descriptor for Shape Classification, Which Includes Three Novel Descriptors Regional Area Descriptor (rad), Regional Skeleton Descriptor (rsd) and Tangent Function(tf)

The RAD and RSD are based on the primitive skeleton of shape while the tangent function is developed from the contour by finding out the important landmark points and collecting regional information around them. In the matching stage, a customized Optimal Path Searching algorithm is integrated into our setting as distance measure function, which is an extension of efficient dynamic programming algorithm. The proposed shape descriptors are tested on commonly used datasets and the results are analyzed and compared to state-of-the-art methods. The experimental results show that, compared to others, our results are satisfactory.
THE PROPOSED SYSTEM FOR ORTHODONTIC SURGERY

The article presents the project of system for comp uter aided orthodontic diagnosis. The system consis ts of four modules for data integration, data storage (database), data visualization and edition, and dat a analysis. The aim of the system is to collect all the necessa ry d ta, to present it to the physician, and to hel p in the analysis of the head deformation. In the database are stored patients data, physicians data (also used for user authentification), and image descriptions with link s to the images. Images are analyzed – the analysis give parameters of the head models, landmarks, and infor mation about the skull deformation. All the kinds o f images (2 & 3D, volumetric data and point cloud) should be visualized, if it is necessary – simultaneously.
"statistische Modellbildung" Zu Diesem Kolloquium Wird Eingeladen 4. Herbstkolloquium Des Graduiertenkollegs "statistische Modellbildung" Design-modifications with Control of the Type I Error Rate: Extensions of the Crp-approach Considering Nuisance Parameters or Multiple Selection 16.30 H Pierre Dr

Optimal designs in multivariate linear models Diskussionen zu den Projektbereichen For chronic diseases, cross-over designs are the most common experimental devices for comparing treatments and selecting the most efficient one. During the last decade, the theory of optimal cross-over designs has been considerably developed, especially due to the seminal paper by Kushner (1997). In this talk we present the state of art of optimal cross-over designs and we show that the optimal design may highly depend on the analysis model and on the parameter of interest. Some considerations on estimation of the given parametric function under the general Gauss-Markov model In this talk, we consider estimation of the given estimable parametric function under the general Gauss-Markov model. In particular, we try to highlight some differences which occur between the cases of estimation of the expected value and estimation of the given parametric function. Special emphasis is given to the concepts of linear sufficiency and linear completeness, and to the problem of when the ordinary least squares estimator equals the best linear unbiased estimator.
BAYESIAN FUNCTIONAL MAPPING OF COMPLEX DYNAMIC TRAITS By TIAN LIU A DISSERTATION PRESENTED TO THE GRADUATE SCHOOL OF THE UNIVERSITY OF FLORIDA IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY UNIVERSITY OF FLORIDA

of Dissertation Presented to the Graduate School of the University of Florida in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy BAYESIAN FUNCTIONAL MAPPING OF COMPLEX DYNAMIC TRAITS By Tian Liu August 2007 Chair: Rongling Wu Major: Statistics Many quantitative traits of fundamental importance to agricultural, evolutionary, and biomedical genetic research can better be described as dynamic processes. Understanding the genetic control of such dynamic or longitudinal traits (such as growth curves, HIV dynamics and drug response) has been a long-standing challenge because of their intrinsic developmental complexity. More recently, a general statistical framework, called functional mapping, has been proposed to map quantitative trait loci (QTLs) that regulate the developmental pattern and process of dynamic traits. Functional mapping has proven to be biologically relevant because it is incorporated by fundamental biological principles to test the genetic and developmental mechanisms for trait changes based on tractable mathematical functions. Original functional mapping was derived within the maximum likelihood (ML) context and implemented with the EM algorithms. Although ML-based functional mapping has many favorable statistical properties for parameter estimation, it has quickly become limited in capacity when a high-dimensional longitudinal problem, as commonly seen in systems biology, is encountered. In my research, I derive a general functional mapping framework for QTL mapping of dynamic traits within the Bayesian paradigm. The Markov Chain Monte Carlo (MCMC) techniques were implemented for functional mapping to estimate biologically and statistically sensible parameters that model the structures of time-dependent genetic effects and covariances. The Bayesian approach is useful to handle difficulties
Model E-education Systems Implementation Success Ii. Research Questions and Objectives Iii. E-education Systems Implementation Success and Related Efforts

Originally developed for delivering distance learning programs, e-education systems in their current forms are powerful, web-based information systems with capabilities that match Enterprise Resource Planning (ERP) systems. By carrying out their deployments on an enterprise-level basis, many Higher Education Institutions (HEI) are able to leverage on their powerful functionalities and ERP-like integrative capabilities to put together academic and administrative systems (Twigg 2002). This study is proposing that it may no longer relevant to still evaluate e-education systems as only educational technologies in view of the current implementation environment where new forms of e-education systems are now information systems of strategic relevance in many HEI (Moul 2002). E-education systems should therefore be studied as: mainstream information systems, i.e. within the paradigms of information systems evaluation research and no longer as educational technology or innovation. This study looks into information systems success model that can be developed to explain and predict the success of e-education systems implementation. It identifies constructs to measure e-education systems implementation success; investigates the appropriate dependent variable as a proxy for e-education systems implementation success and finally develops and validates the model. The findings from this research, showed that the organizational IS continuance' construct is a viable proxy for information systems implementation success and the model developed can be equally applied and generalizable across different stakeholder groups. Education organizations unlike business organizations are very slow to adopt new information technologies (IT). Such changes may also face resistance and rejection from faculty members (Jones 2000). Hence, while e-education systems initiatives are actively underway in many universities, the high risks, uncertainties and many examples of failed implementations (Paulsen 2002) associated with these systems, appropriate evaluation of these systems then remains an important agenda for higher education management if they wish to see a good return for their costly investments. By tradition e-education systems are regarded as educational technologies and their evaluation are more on their efficacies as teaching and learning tools rather than as organizational information systems. This study believes that research should inform on new ways to evaluate eeducation systems based on their latest roles as important organizational information systems. Since e-education systems have improved the operational management of teaching and learning processes; institutional performance and in many instances as key institutional transformation drivers (Wang, et al. it is apparent that a new evaluation perspective is needed. Objectives of this study are to: i. identify constructs to measure e-education …
Mixing time and eigenvalues of the abelian sandpile Markov chain

The abelian sandpile model defines a Markov chain whose states are integer-valued functions on the vertices of a simple connected graph G G . By viewing this chain as a (nonreversible) random walk on an abelian group, we give a formula for its eigenvalues and eigenvectors in terms of “multiplicative harmonic functions” on the vertices of G G . We show that the spectral gap of the sandpile chain is within a constant factor of the length of the shortest noninteger vector in the dual Laplacian lattice, while the mixing time is at most a constant times the smoothing parameter of the Laplacian lattice. We find a surprising inverse relationship between the spectral gap of the sandpile chain and that of simple random walk on G G : If the latter has a sufficiently large spectral gap, then the former has a small gap! In the case where G G is the complete graph on n n vertices, we show that the sandpile chain exhibits cutoff at time 1 4 π 2 n 3 log ⁡ n \frac {1}{4\pi ^{2}}n^{3}\log n .
Loop Tuning with Specification on Gain and Phase Margins via Modified Second-order Sliding Mode Control Algorithm]

The modified second-order sliding mode algorithm is used for controller tuning. Namely the modified suboptimal algorithm based test (modified SOT) and non-parametric tuning rules for proportional-integral-derivative (PID) controllers are presented in the paper. In the developed method of test and tuning, the idea of coordinated selection of the test parameters and the controller tuning parameters is introduced. The proposed approach allows for the formulation of simple non-parametric tuning rules for PID controllers that provide desired amplitude or phase margins exactly. In the modified SOT, the frequency of the self-excited oscillations can be generated equal to either the phase crossover frequency or the magnitude crossover frequency of the open-loop system frequency response (including a future PID controller) – depending on the tuning method choice. The first option will provide tuning with specification on gain margin, and the second option will ensure tuning with specification on phase margin. Tuning rules for a PID controller and simulation examples are provided.
MediaMath: A Research Environment for Computer Vision

This paper describes MediaMath an object oriented environment for computer vision. MediaMath is an interactive, extendible interpreter for algorithm development and rapid prototyping. It contains a wide variety of vision algorithms and a comprehensive set of fundamental image operations. It provides a syntax idealy suited for translating mathematics to working programs that run efficiently. Examples of algorithms developed in MediaMath and samples of results are included.
Handwritten Optical Music Recognition

Optical Music Recognition (OMR) is a field of document analysis that aims to automatically read music scores. Music notation encodes music in a graphical form; OMR backtracks through this process to extract the musical information from this graphical representation. Common western music notation (CWMN) is an intricate system for visually representing music that has shown considerable resilience in the face of many developments in the musical world, and has thrived beyond its original European cultural sphere, being able to represent sufficiently well much of the world’s musical traditions. It has been evolving for about 1000 years, with the current standard having emerged in the 17th century and stabilized around the end of the 18th century. In the latter half of the 20th century, there have been multiple attempts to find new ways of conveying musical thought visually from composer to performer; however, none have yet threatened the dominance of the CWMN system. As long as musicians think of music in terms of notes, and have the need to communicate this kind of music visually, CWMN is – probably – here to stay, or at most keep evolving. Throughout these years, CWMN has settled into an optimum for quickly and accurately decoding the musical information. Unfortunately for OMR, this optimum has proven rather complex for document analysis systems, and there are only a few sub-problems of OMR that have been resolved successfully since OMR has first been attempted over 50 years ago (Denis Pruslin, 1966; David S Prerau, 1971). The main aim of the proposed thesis is to create an OMR system capable of reading handwritten CWMN music notation. Two tasks will be attempted: offline handwriting recognition, and augmenting the system with audio inputs for multimodal human-in-the-loop recognition. Given the state of the art in OMR, however, it was necessary to first create the supporting infrastructure of evaluation and datasets, including some theoretical work on ground truth design. In the rest of this introduction, we first briefly present the motivation for OMR and its application domains (Subsec. 1.1). We then describe in more detail the process of reading music that OMR is seeking to emulate (Subsec. 1.2), and from this description we draw conclusions about why OMR is a difficult problem, especially compared to OCR (Subsec. 1.3). We finally describe the individual “flavors” of OMR based on the input modalities and output requirements (Subsec. 1.4). Next, in Section 2, we describe how OMR solutions are typically structured and review the literature on OMR. We then proceed to present our contributions to OMR so far: in Section 3, we analyze the requirements for designing an OMR benchmark, and present the MUSCIMA++ dataset,1 and in Section 4, we present a data-driven approach to OMR end-goal evaluation.2 In Section 5, we then present a plan of experiments towards completing a workable handwritten offline optical music recognition system. Section 6 summarizes current achievements and concludes the thesis proposal.
Discussion guide

2. Manual on Church is based on biblical and historical notions about the nature of covenant. After reading the section entitled, “The Church Shaped by Covenant,” discuss the following: a. What does covenant mean to you? b. What biblical stories or images inform your own understanding of what it means to be in a covenantal relationship? c. How is covenant being lived out between the churches and associations in your area? d. What are some of the strengths and challenges of living in covenant?
Evgeniy A. Gladyshev on Gaps

Just as any other changes in nucleotide or protein sequences, gaps, or indels, result from mutations, and thus, contain important information on the evolution, structure, and function of sequences. However, unlike the other changes in the primary structure, in most cases indels are regarded merely as place-holders, or as a nuisance, interfering with subsequent sequent comparisons. This attitude must be changed and appropriate methods must be introduced to allow the incorporation of information on gaps into sequence analysis.
Study on prediction model to estimate stability of high loess slope considering water content

Water content is the major factor influencing the stability of the high loess slopes.If the safety coefficieut and safety state of the slope can be predicted based on the changes of water content ahead of time,peope will take effective and active measures in time,then the loss caused by the slope instability can be decreased and even avoided.This paper used numerous cases of high loess slopes,considering the influencing factors,formed the data sets for training and testing based on the geometry,physics,mechanics parameters of the slopes,and established prediction model to estimate stability of high loess slope by BP neural network based on Levenberg-Marquardt Algorithm,then fitted the relationship between strength parameters and water content of loess by experimental data,and presented the system model to predict the stability of high loess slopes by measuring water content,finally took one Loess slope in Guanzhong area for example,briefly introduced the application of system model.The result showed that the slope would be instable when the water content reached more than 13.4%,which was consistent with the practical situation.So,it's proved that this model had strong practicability with high precision in Guanzhong area.
FIRM SIZE AND GOVERNMENTAL POLICYMAKING INFLUENCE

A commonly held assumption is that large firms are more influential in shaping governmental policies than their smaller counterparts. But the ability to rigorously examine this conjecture is hampered by inabilities to secure suitable measures of firms’ influence. We overcome this impediment by offering a systematic analysis using a novel and global database that measures firms’ perceived influence over different branches of government. The paper develops and tests a conceptual model that captures the firm size-governmental policymaking influence relationship, along with other direct and moderating influences from industry-level and countryinstitutional level determinants. While firm size impacts governmental policymaking influence, so too do variations in industry-level structures and country-level political institutions. Non-market strategy implications that follow from this refined understanding are discussed.
SIGNAL DETECTION THEORY: CONSIDERATIONS FOR GENERAL APPLICATION

While there exist a number of papers describing the theory of signal detection, it appears that many psychologists are not aware of the ease with which signal detection theory can be applied, the range of applications possible, or the limitations of signal detection theory. This paper briefly summarizes the assumptions of signal detection theory and describes the procedures, the limitations, and practical considerations relevant to its application. A worked example of an application of signal detection theory to the study of cognitive processes is included.
J. KSIAM Vol.14, No.4, 201–210, 2010 A FAST AND ACCURATE NUMERICAL METHOD FOR MEDICAL IMAGE SEGMENTATION

We propose a new robust and accurate method for the numerical solution of medical image segmentation. The modified Allen-Cahn equation is used to model the boundaries of the image regions. Its numerical algorithm is based on operator splitting techniques. In the first step of the splitting scheme, we implicitly solve the heat equation with the variable diffusive coefficient and a source term. Then, in the second step, using a closed-form solution for the nonlinear equation, we get an analytic solution. We overcome the time step constraint associated with most numerical implementations of geometric active contours. We demonstrate performance of the proposed image segmentation algorithm on several artificial as well as real image examples.
Implementation of exception handling

Exception-handling is a feature found in one form or another in various languages. Recent examples include Ada, Modula-2+, C++, Modula-3 and Eiffel. These languages all share the “termination model” of exception handling, where control transfers into the scope of the handler and activation records separating the exceptional event from its handler are discarded. One important goal for exception-handling is that the unexceptional case should execute as quickly as possible, and it is generally assumed that execution of the exceptional case may be made more expensive to further this goal (the Modula-3 report provides guidelines, both to implementors and programmers—it suggests that 10000 instructions may be spent in the exceptional case to save one instruction in the normal case). Another important goal is that a debugger should be able to manipulate exceptional events—given an exception, it should be able to determine where the exception will be caught (if anywhere) and if an exception will not be caught, then the debugger should be notified of this event in the context in which the exception was raised. It is desirable that exception-handling not impede optimization of programs, and there are situations in which support for asynchronous exceptions would be useful. This article discusses implementation techniques for exception handling, and how these goals are met (or not). Specific examples (at the machine-code level) will be presented in terms of Sparc assembly language and the Sparc System V Release 4 Processor-specific Applications Binary Interface (abbreviated as “the ABI”). The ABI (and machines which implement it, or the very-similar SunOS 4.x calling conventions) are widely available, and the author is extremely familiar with the details of this architecture and ABI. (The important things to know for most examples in this article are that call writes the current PC into register %o7, executes the next (delay slot) instruction, and transfers control to the target of the call. The standard callee-side linkage includes a save instruction, which renames register %o7 to be %i7. ) I don’t know of any good references describing most of the techniques discussed in this paper. Most of what I learned, I either learned from or in the
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$EVWUDFW A dynamic speculative multithreaded processor automatically extracts thread level parallelism from sequential binary applications without software support. The hardware is responsible for partitioning the program into threads and managing inter-thread dependencies. Current published dynamic thread partitioning algorithms work by detecting loops, procedures, or partitioning at fixed intervals. Research has thus far examined these algorithms in isolation from one another. This paper makes two contributions. First, it quantitatively compares different dynamic partitioning algorithms in the context of a fixed microarchitecture. The architecture is a single-chip shared memory multiprocessor enhanced to allow thread and value speculation. Second, this paper presents a new dynamic partitioning algorithm called MEMslicing. Insights into the development and operation of this algorithm are presented. The technique is particularly suited to irregular, non-numeric programs, and greatly outperforms other algorithms in this domain. MEM-slicing is shown to be an important tool to enable the automatic parallelization of irregular binary applications. Over SPECint95, an average speedup of 3.4 is achieved on 8 processors.