Miracle-dz/UniFAR-FTUs huggingface dataset:
Frame analysis and approximation in reproducing kernel Hilbert spaces

We consider frames F in a given Hilbert space, and we show that every F may be obtained in a constructive way from a reproducing kernel and an orthonormal basis in an ambient Hilbert space. The construction is operator-theoretic, building on a geometric formula for the analysis operator defined from F. Our focus is on the infinite-dimensional case where a priori estimates play a central role, and we extend a number of results which are known so far only in finite dimensions. We further show how this approach may be used both in constructing useful frames in analysis and in applications, and in understanding their geometry and their symmetries.
Robust Tomlinson-Harashima precoding design in amplify-and-forward MIMO relay systems via MMSE criterion

This paper addresses the problem of robust Tomlinson-Harashima precoding (THP) for multiple-input multiple-output (MIMO) relay systems. The robust nonlinear transceiver design consists of a TH precoder at the source along with a linear precoder at the relay and an minimum-mean-squared-error (MMSE) receiver at the destination. The imperfect channel state information (CSI) is considered. By taking the channel uncertainties into account, the source and relay precoders are jointly optimised to minimise the mean-squared-error (MSE). We finally use an iterative method to obtain the solution for relay and source precoders via Karush-Kuhn-Tucker (KKT) conditions. Simulation results demonstrate that the proposed scheme outperforms existing transceiver designs with perfect and imperfect CSI.
Optimization and realization of parallel frequent item set mining algorithm

Associative data mining is the research hotspot in the field of big data, and frequent item sets mining is an important step in the analysis of associative data. This paper focuses on analyzing the frequent item sets mining algorithm based on Apriori parallel algorithm. The paper has found two shortages of Apriori parallel algorithm: one is that the key value pair are too many, another is that in the combiner stage, it occupies two much memory. Therefore, we propose an optimized algorithm. In the optimization algorithm, candidate item sets and local count information are saved in memory, greatly reducing the number of generated keys. Meanwhile, in the short length frequent item sets mining, the method of reducing the number of scanning transaction data without generating candidate item sets can improve the algorithm efficiency. We do the experiments in the Hadoop platform to testify the performance of the proposed optimized algorithm. The experiments demonstrate that the time and I/O of the optimized algorithm have been improved greatly, compared with the non-optimized algorithm.
Methodology in diagnostic laboratory test research in clinical chemistry and clinical chemistry and laboratory medicine.

BACKGROUND The application of epidemiologic principles to clinical diagnosis has been less developed than in other clinical areas. Knowledge of the main flaws affecting diagnostic laboratory test research is the first step for improving its quality. We assessed the methodologic aspects of articles on laboratory tests. METHODS We included articles that estimated indexes of diagnostic accuracy (sensitivity and specificity) and were published in Clinical Chemistry or Clinical Chemistry and Laboratory Medicine in 1996, 2001, and 2002. Clinical Chemistry has paid special attention to this field of research since 1996 by publishing recommendations, checklists, and reviews. Articles were identified through electronic searches in Medline. The strategy combined the Mesh term "sensitivity and specificity" (exploded) with the text words "specificity", "false negative", and "accuracy". We examined adherence to seven methodologic criteria used in the study by Reid et al. (JAMA1995;274:645-51) of papers published in general medical journals. Three observers evaluated each article independently. RESULTS Seventy-nine articles fulfilled the inclusion criteria. The percentage of studies that satisfied each criterion improved from 1996 to 2002. Substantial improvement was observed in reporting of the statistical uncertainty of indices of diagnostic accuracy, in criteria based on clinical information from the study population (spectrum composition), and in avoidance of workup bias. Analytical reproducibility was reported frequently (68%), whereas information about indeterminate results was rarely provided. The mean number of methodologic criteria satisfied showed a statistically significant increase over the 3 years in Clinical Chemistry but not in Clinical Chemistry and Laboratory Medicine. CONCLUSIONS The methodologic quality of the articles on diagnostic test research published in Clinical Chemistry and Clinical Chemistry and Laboratory Medicine is comparable to the quality observed in the best general medical journals. The methodologic aspects that most need improvement are those linked to the clinical information of the populations studied. Editorial actions aimed to increase the quality of reporting of diagnostic studies could have a relevant positive effect, as shown by the improvement observed in Clinical Chemistry.
1 Rerendering Top Ontologies

Data mining and information extraction rely on a number of natural language tasks that require semantic typing; that is, the ability of an application to accurately determine the conceptual categories of syntactic constituents. Semantic typing serves tasks such as relation extraction by improving anaphora resolution and entity identification. Domain-specific semantic typing also benefits statistical categorization and disambiguation techniques that require generalizations across semantic classes to make up for the sparsity of data. This applies, for example, to the problem of prepositional attachment, as well as identification of semantic relations between constituents within nominal compounds (see, for example, related discussion in Rosario and Hearst (2001)). Semantic typing has other direct applications, such as query reformulation, the filtering of results according to semantic type restrictions. The set of categories used in semantic typing must be adequate enough to serve such tasks. In the biomedical domain, there are a number of efforts to develop specialized taxonomies and knowledge
A linear classification model based on conditional geometric score

We propose a two-class linear classification model by taking into account the Euclidean distance from each data point to the discriminant hyperplane and introducing a risk measure which is known as the conditional value-at-risk in financial risk management. It is formulated as a nonconvex programming problem and we present a solution method for obtaining either a globally or a locally optimal solution by examining the special structure of the problem. Also, this model is proved to be equivalent to the ν-support vector classification under some parameter setting, and numerical experiments show that the proposed model has better predictive accuracy in general.
Key to effective video retrieval: effective cataloging and browsing

1. ABSTRACT Mukirnedia data is an increasingly important information medium today. Providing intelligent access for effective use of this information continues to offer challenges in digital Iibrary research. As computer vision, image processing and speech recognition research continue to progress, we examine the effectiveness of these fully automated techniques in architecting effective video retrieval systems. We present semi-automated techniques that combine manual inpu~ and video and speech technology for automatic content characterization integrated into a single system we cdl CueVideo. CueVideo integrates voice and manual annotation, attachment of related da~ visual content search technologies (QBICti), and novel mukiview storyboard generation to provide a system where the user can incorporate the type of semantic information that automatic techniques would fail to obtain.
The fragmentation of expanding shells – I. Limitations of the thin-shell approximation

We investigate the gravitational fragmentation of expanding shells in the context of the linear thin-shell analysis. We make use of two very different numerical schemes; the flash adaptive mesh refinement code and a version of the Benz smoothed particle hydrodynamics code. We find that the agreement between the two codes is excellent. We use our numerical results to test the thin-shell approximation and we find that the external pressure applied to the shell has a strong effect on the fragmentation process. In cases where shells are not pressure-confined, the shells thicken as they expand and hydrodynamic flows perpendicular to the plane of the shell suppress fragmentation at short wavelengths. If the shells are pressure-confined internally and externally, so that their thickness remains approximately constant during their expansion, the agreement with the analytical solution is better.
Hybrid optical resonator for nanostructured virus detection and sizing

We investigate a method for the detection of influenza A virus in order to reduce the risks associated with its toxicity. Our work is based on the analysis of the optical properties of a whispering gallery mode microresonator interacting with a spherical nanoparticle modeling the virion. The microresonator shows a Q-factor quite high, of the order of 6·104. Higher is the Q-factor, higher is the perturbation that the light propagating inside the resonator experiences when interacting with a scattering center, i.e. a nanoparticle. Thus, from the transmission spectrum of the resonator-virion system, we are able to derive the size of nanoparticles having a radius in the range 30 – 100 nm, with a small error with respect to the nanoparticle nominal radius.
Symmetry perception

Detection of (mirror) symmetry which is abundantly present in the world is often assumed to be an integral part of the perceptual organization process that is applied to every visual stimulus. On the one hand, as reviewed in this article, the exact role of symmetry in perceptual organization is actually rather elusive due to its interaction with other grouping factors. On the other hand, the detectability of single and multiple symmetry is indeed extraordinary in comparison to that of repetition and Glass patterns. Empirical and theoretical findings pertaining to this detectability are discussed, focusing on converging evidence rather than on details of individual studies, and putting various findings in evolutionary perspectives. Reflecting a seeming opposition between process models and representation models, a specific question is whether symmetry detection relies on crude or precise correspondences between symmetry halves. Both stances find psychophysical support, and this article ends with a unification proposal.
Chapter 8 Vector Autoregression Techniques

This chapter discusses econometric techniques for vector autoregressions (VAR). In most cases, the variables in VAR are assumed to be stationary. Let y t be an n-dimensional vector stochastic process that is covariance stationary. Because y t is covariance stationary, it has a Wold representation: y t = µ + t + Ψ 1 t−1 + Ψ 2 t−2 + · · · = µ + Ψ(L) t , (8.1) where Ψ(L) = I n + ∞ s=1 Ψ s L s and L is the lag operator. Assuming that Ψ(L) is invertible, y t has a VAR representation. Assuming that the VAR representation is of order p: A(L)y t = δ + t , (8.2) 1 A VAR model may include nonstationary variables. Chapter 15 treats the case where some of the variables in VAR are difference stationary and cointegrated, in terms of terminology introduced later. When the difference stationary variables are not cointegrated, we can take the first difference to make them stationary for VAR.
Chapter 15 Object-Oriented Data Modeling Learning

➤ Describe the activities in the different phases of the object-oriented development life cycle. ➤ State the advantages of object-oriented modeling vis-à-vis structured approaches. ➤ Compare and contrast the object-oriented model with the E-R and EER models. ➤ Model a real-world domain by using a UML (Unified Modeling Language) class diagram as a tool. ➤ Provide a snapshot of the detailed state of a system at a point in time using a UML object diagram. ➤ Recognize when to use generalization, aggregation, and composition relationships. ➤ Specify different types of business rules in a class diagram. In Chapters 3 and 4, you learned about data modeling using the E-R and EER models. In those chapters, you discovered how to model the data needs of an organization using entities, attributes, and a wide variety of relationships. In this chapter, you will be introduced to the object-oriented
Flexible Matching of Boolean Symbolic Objects

Matching is the process of comparing two or more structures to discover their likenesses or differences. It is a common operation performed in symbolic classification, pattern recognition, data mining and expert systems. The definition of a matching operator for Boolean symbolic objects is important for the development of symbolic data analysis techniques. In this paper we give the definition of canonical matching of Boolean symbolic objects, and then we extend it in order to take into account only partial matching caused by the presence of noise. The new definition of flexible matching is based on the probability theory. Some experimental results are reported.
Calibração robusta de vı́deo para realidade aumentada

Neste artigo descrevemos um algoritmo robusto capaz de determinar os parâmetros extrı́nsecos assumidos por uma câmera na captação dos frames de um vı́deo, dado que os parametros intrı́nsecos foram previamente estimados, e que esses não variam ao longo do tempo. Apresentamos no final do artigo os resultados do uso desse algoritmo na criação de um sistema capaz de fazer realidade aumentada em um vı́deo.
An Embedded Software Architecture for Robot with Variable Structures

The application of robotic system has nowadays been vastly incorporated in many domains. To support customized demands, robotic embedded software oftentimes may face the variation challenges on hardware sensor, hardware assembling structure, and hardware platform. Basing on the perspective of software engineering, the paper endeavors to explore the embedded software architecture. We have concluded 2 commonly adopted embedded software architectures, and thus proposed a new 7 layered architecture. The concept of software product line was integrated to engage Feature-Oriented Analysis on a specific domain in designing features of atomic operation interface layer. To describe dynamic function composition of the system, XML configuration file was employed on Architecture Mapping layer. The intended basic functions on the Application layer were composed by Atomic operation. When hardware or software function demand is changed, we only need to modify the XML configuration file. Thus, embedded software portability and software/hardware variability can be enhanced and thereby reduces the impacts of the aforementioned. Basing on the 3 software architectures proposed, we have conducted implementation on LEGO robot module and POB robot module. The results of the experiments indicated that execution efficiency was not distinguishably reduced, and that nearly no impact was performed on robotic actions, which manifested the feasibility of our software architecture.
The role of patient age and intraocular gases in cataract progression following vitrectomy for macular holes and epiretinal membranes.

PURPOSE To evaluate the rate of increase in nuclear sclerosis and posterior subcapsular cataracts in eyes as a function of patient age and use of intravitreal gas at the time of vitrectomy. METHODS Nuclear sclerotic cataracts and posterior subcapsular cataracts were graded on a scale of 0 to 4.0 in 301 consecutive eyes prior and subsequent to vitrectomy for macular holes, epiretinal membranes, or vitreomacular traction syndrome. Linear regression analysis was performed to compare the rate of change in cataract score. RESULTS Nuclear sclerotic cataracts showed minimal increase in patients younger than 50 years of age following vitrectomy (.13 grades per year). Nuclear sclerotic cataracts increased at a rate of . 7 to . 9 grades per year (mean, .812) in patients from age 50 to 60, 60 to 70, 70 to 80, and 80+ years, even though the baseline nuclear sclerosis scores were progressively greater for each decade. The increase in nuclear sclerotic cataracts in patients younger than 50 years was significantly less (P<.001) than in patients 50 years or older. The fellow nonsurgical eyes of patients 50 years or older also showed smaller increases in nuclear sclerotic cataracts over time (.091 to .342 grades per year; mean, .139). Eyes with intraocular gas use had a higher rate of nuclear sclerosis progression (.8 grades per year) compared to eyes without intraocular gas bubbles (.5 grades per year) (P<.001). Posterior subcapsular cataract scores showed minimal or no increases in all groups. CONCLUSIONS Patients older than 50 years have a similar rate of increase in nuclear sclerotic cataracts independent of age. The rate is sixfold greater than in patients younger than 50 years and also sixfold greater than the progression of nuclear sclerosis in the fellow nonsurgical eyes. Intravitreal gas bubbles cause nuclear sclerosis to increase by 60%, compared to eyes without use of a gas bubble.
Use a Diagnostic Neuropsychology Service Properly

Neuropsychology services in the UK are a precious resource. In our own Northern region there is a ratio of 5 : 1 between the number of consultant neurologists and neuropsychologists who see neurological referrals for diagnostic assessment. Furthermore, the neuropsychological status of patients with degenerative and other brain disorders can be much more informative (in terms of diagnosis, prognosis, and management) than brain imaging, on which so much more money is usually spent. In our cognitive neurology clinic we provide an opinion based on joint consultations with a neurologist and neuropsychologist. This allows the optimal use of neuropsychology resources, where the initial joint assessment guides any further more detailed assessment. However, most neuropsychology assessments are requested by neurologists or their trainees working in isolation. We hope this article will provide some guidance on the appropriate use of neuropsychology services in such circumstances. They reflect our personal views and, hopefully, a
Time integration using wavelets

In this work, we describe how wavelets may be used for the temporal discretization of ODEs and PDEs. A major problem associated with the use of wavelets in time is that initial conditions are difficult to impose. A second problem is that a wavelet-based time integration scheme should be stable. We address both of these problems. Firstly, we describe a general method of imposing initial conditions, which follows on from some of our recent work on initial and boundary value problems. Secondly, we use wavelets of the Daubechies family as a starting point for the development of stable time integration schemes. By combining these two ideas we are able to develop schemes with a high order of accuracy. More specifically, the global error is O(hp-1), where p is the number of vanishing moments of the original wavelet. Furthermore, these time integration schemes are characterized by large regions of absolute stability, comparable to increasingly high order BDF methods. In particular, Daubechies D4 and D6 wavelets give rise to A-stable time-stepping schemes. In the present work we deal with single scale formulations. We note, however, that the standard multiresolution analysis for orthogonal wavelets on L2(R) applies here. This opens up interesting possibilities for treating BVPs and IVPs at multiple scales.
Does College Enrollment and Bachelor’s Completion by Mothers Impact Children’s Educational Outcomes?

Today, many undergraduates are themselves raising children. But does college-going by parents improve their offspring’s educational attainment? I address this question using data from the National Longitudinal Survey of Youth–1979 and linked Children and Young Adults Survey. I first model postnatal college enrollment and bachelor’s completion by mothers and use predicted probabilities to minimize selection bias through inverse probability of treatment weighting. I then estimate the impact of maternal college enrollment and attainment on offspring’s likelihood of graduating from high school, enrolling in college, and completing a four-year degree. I find sizeable effects of maternal college completion on all outcomes, but the impact of maternal enrollment without completion is considerably muted. I review implications for sociological research and policies to assist nontraditional students.
Gender Classification Using Gradient Direction Pattern

A novel methodology for gender classification is presented in this paper. It extracts feature from local region of a face using gray color intensity difference. The facial area is divided into sub-regions and GDP histogram extracted from those regions are concatenated into a single vector to represent the face. The classification accuracy obtained by using support vector machine has outperformed all traditional feature descriptors for gender classification. It is evaluated on the images collected from FERET database and obtained very high accuracy.
Generalizing Indexical-Functional Reference

The goals of situated agents generally do not specify particular objects: they require only that some suitable object should be chosen and manipulated (e.g. any red block). Situated agents engaged in deictic reference grounding, however, may well track a chosen referent object with such fixity of purpose that an unchosen object may be regarded as an obstacle even though it satisfies the agent's goals. In earlier work this problem was bridged by hand-coding. This paper lifts the problem to the symbol level, endowing agents with perceptual referent selection actions and performing those actions as required to allow or disallow opportunistic re-selection of referents. Our work preserves the ability of situated agents to find and track specific objects, adds an ability to automatically exploit the opportunities allowed by nonspecific references, and provides a starting point for studying how much opportunistic perception is appropriate.
The Prognostic Value of CXCR4 in Ovarian Cancer: A Meta-Analysis

Objective Recent reports have shown that C-X-C chemokine receptor 4 (CXCR4) is expressed in ovarian cancer and plays an important role in metastasis. However, the prognostic value of CXCR4 in ovarian cancer remains controversial and has not been emphasized. The aim of this study is to evaluate the prognostic significance of CXCR4 in ovarian cancer by performing a meta-analysis. Methods We systematically searched for studies evaluating the relationship between CXCR4 expression and the outcome of ovarian cancer patients. Only articles in which CXCR4 expression was detected by immunohistochemical staining were included. Hazard ratios (HRs) and relative risk (RR) with 95% confidence intervals (CIs) were pooled as effect size (ES) across studies for overall survival (OS) and progression-free survival (PFS). Results A total of 729 patients from 7 studies (6 articles) were included in this meta-analysis. Our results showed that high CXCR4 expression was significantly associated with poor prognosis in terms of OS (ES, 2.81; 95% CI, 1.16–6.80; p = 0.022) and PFS (ES, 8.48; 95% CI, 2.13–33.70; p = 0.002) in ovarian cancer patients. The association between high CXCR4 expression and poor ovarian cancer prognosis in OS was also statistically significant in subgroups of Asian and III-IV patients constituting 70%. Conclusions The present meta-analysis indicated that high CXCR4 expression was associated with poor prognosis in ovarian cancer. More studies, especially larger scale and well-matched researches, are warranted to clarify the prognostic effect of CXCR4 on the outcome of ovarian cancer.