Miracle-dz/UniFAR-FTUs huggingface dataset:
Reconstruction-Based Association Rule Hiding Yuhong

As large repositories of data contain confidential rules that must be protected before published, association rule hiding becomes one of important privacy preserving data mining problems. Compared with traditional data modification methods, data reconstruction is a new promising, but not sufficiently investigated method, which is inspired by the inverse frequent set mining problem. In my PhD period, my research focuses on further investigating reconstruction-based techniques for association rule hiding. Particularly, we have proposed a FP-treebased method for inverse frequent set mining, which can be used in our proposed reconstruction-based framework. We hope the proposed solution will fetch up the new reconstruction-based research track and work well according to the evaluation metrics including hiding effects, data utility, and time performance.
The “ cocktail-party effect ” and prosodic rhythm : Discrimination of the temporal structure of speech-like sequences in temporal interference

A dimension crucial for the perceptual segregation of simultaneous speech sounds is the one of syllabic and subsyllabic envelope fluctuations, indicating that, in the “cocktail-party effect,” prosody plays a definite role. This role was investigated in a psychoacoustic study using a much reduced stimulus configuration to examine the way the rhythmic pattern of a target stream can be segregated from another, irrelevant stream. Both streams consisted of 40-ms bursts of harmonic complexes with different fundamental frequencies and the same average modulation rate. The target stream had a three-burst dactyl or amphibrach rhythm, whereas the interfering stream’s burst rhythmic pattern was random. Results showed that a higher-f0 target mixed with a lower-f0 interference was significantly easier to identify than the opposite, and that difficulty of the task increased with modulation rate. Elderly subjects performed significantly poorer than the young, for both segregating streams based on prosodic rhythm and understanding speech in babble.
Precision of Fit of Titanium and Cast Implant Frameworks Using a New Matching Formula

Statement of the Problem. Fit of prosthodontic frameworks is linked to the lifetime survival of dental implants and maintenance of surrounding bone. Purpose. The purpose of this study was to evaluate and compare the precision of fit of milled one-piece Titanium fixed complete denture frameworks to that of conventional cast frameworks. Material and Methods. Fifteen casts fabricated from a single edentulous CAD/CAM surgical guide were separated in two groups and resin patterns simulating the framework for a fixed complete denture developed. Five casts were sent to dental laboratories to invest, cast in a Palladium-Gold alloy and fit the framework. Ten casts had the resin pattern scanned for fabrication of milled bars in Titanium. Using measuring software, positions of implant replicas in the definitive model were recorded. The three dimensional spatial orientation of each implant replica was matched to the implant replica. Results. Results demonstrated the mean vertical gap of the Cast framework was 0.021 (+0.004) mm and 0.012 (0.002) mm determined by fixed and unfixed best-fit matching coordinate system. For Titanium frameworks they were 0.0037 (+0.0028) mm and 0.0024 (+0.0005) mm, respectively. Conclusions. Milled one-piece Titanium fixed complete denture frameworks provided a more accurate precision of fit then traditional cast frameworks.
Development and Validation of a Chinese Language Version of the Ruminative Thought Styles Questionnaire

The Ruminative Thought Styles Questionnaire (RTS) conceptualizes rumination as repetitive, recurrent, intrusive, and uncontrollable thinking. This article outlines the development and validation of a Chinese language version of the RTS, the RTS-CH. Following independent translation, back translation, and final translation checking, the factor structure, convergent and divergent validity, and item-level congruence of the RTS-CH was examined and improved. The resultant scale showed equivalence to the RTS and had attractive psychometric properties. The RTS-CH is the first Chinese language rumination measure that does not have inherently negative or depressive content.
An improved method of nasojejunal feeding tube placement for patients requiring endoscopic nasobiliary drainage.

OBJECTIVE To avoid a second endoscopy for nasojejunal feeding tube placement (NFTP) in patients undergoing endoscopic nasobiliary drainage (ENBD), we studied improved NFTP method and compared it to endoscopic method. METHODS Patients with ENBD were divided into two groups. One group (18 patients) received endoscopic NFTP and the other group (26 patients) received improved NFTP. Placement time, physical condition of the patients and complications were recorded. RESULTS In 18 patients who underwent endoscopic NFTP, NFT was successfully placed on the first attempt in 14 patients with a first placement success rate of 77.8%. NFT was wrongly intubated into the trachea in one patient inducing coughing, and after it was removed, the second placement was successful. The total success rate of endoscopic NFTP was 83.3% with an average placement time of 17.0 minutes. In 26 patients undergoing improved NFTP, all were successfully placed on the first attempt with a success rate of 100%, and an average placement time of 2.55 minutes. In patients with ENBD, the success rate of improved NFTP was significantly higher than endoscopic NFTP (χ²=36.4, p<0.05) with a significantly shorter placement time (t=18.5, p<0.05). CONCLUSION For patients with ENBD, improved NFTP method is superior to the endoscopic method as it is more effective, convenient, faster, and cheaper. Additionally it avoids a second endoscopy and has fewer complications, better security and a higher success rate. The improved method is a safer, easier, more effective and practical method of EN and deserves general adoption in clinical work.
Optimized rate allocation for state feedback control over noisy channels

Optimal rate allocation in a networked control system with highly limited communication resources is instrumental to achieve satisfactory overall performance. In this paper, we propose a rate allocation technique for state feedback control in linear dynamic systems over a noisy channel. Our method consists of two steps: (i) the overall distortion is expressed as a function of rates at all time instants by means of high-rate quantization theory, and (ii) a constrained optimization problem to minimize the overall distortion is solved. We show that a non-uniform quantization is in general the best strategy for state feedback control over noisy channels. Monte Carlo simulations illustrate the proposed scheme, which is shown to have good performance compared to arbitrarily selected rate allocations.
Face recognition using Entropy Weighted Patch PCA Array under variation of lighting conditions from a single sample image per person

The sensitivity to illumination changes is one of the most important issues for the evaluation of face recognition systems. In this paper, we propose a new approach to recognize face images under variation of lighting conditions when only one sample image per person is available. In this approach, a face image is represented as an array of Patch PCA (PPCA) extracted from a partitioned face image containing information of local regions instead of holistic information of a face. In order to adjust the contribution of each local region of a face in terms of the richness of identity information, an entropy-based weighting technique is utilized to assign proper weights to PPCA features. The encouraging experimental results using AR face database demonstrate that the proposed method provides a new solution to the problem of robustly recognizing face images under different lighting conditions in single model databases.
The probabilistic logic of communication and change

This article introduces a Probabilistic Logic of Communication and Change, which captures in a unified framework subjective probability, arbitrary levels of mutual knowledge and a mechanism for multi-agent Bayesian updates that can model complex social-epistemic scenarios, such as informational cascades. We show soundness, completeness and decidability of our logic, and apply it to a concrete example of cascade.
IMPACT OF DEFECTIVE ITEMS ON (Q,r,L) INVENTORY MODEL INVOLVING CONTROLLABLE SETUP COST

In a recent paper, Ouyang et al. [10] proposed a (Q,r,L) inventory model with defective items in an arrival lot. The purpose of this study is to generalize Ouyang et al.'s [10] model by allowing setup cost A as a decision variable in conjunction with order quantity Q, reorder point r and lead time L. In this study, we first assume that the lead time demand follows a normal distribution, and then relax this assumption by only assuming that the first two moments of the lead time demand are given. For each case, an algorithm procedure of finding the optimal solution is developed.
A Tale of Two RNAs during Viral Infection: How Viruses Antagonize mRNAs and Small Non-Coding RNAs in The Host Cell

Viral infection initiates an array of changes in host gene expression. Many viruses dampen host protein expression and attempt to evade the host anti-viral defense machinery. Host gene expression is suppressed at several stages of host messenger RNA (mRNA) formation including selective degradation of translationally competent messenger RNAs. Besides mRNAs, host cells also express a variety of noncoding RNAs, including small RNAs, that may also be subject to inhibition upon viral infection. In this review we focused on different ways viruses antagonize coding and noncoding RNAs in the host cell to its advantage.
Manipulation of unmodeled objects using intelligent grasping schemes

We investigate "intelligent" grasping schemes using a fuzzy logic rule base expert system. We use a vision system, robot arm and mechanical hand to locate and manipulate unmodeled, randomly placed objects of various sizes and shapes. In the pregrasp stage, we use vision data to provide a nonlinear mapping from object characteristics to hand configuration. In the postgrasp stage, we use hand data to ascertain the security of the grasp. Computational geometry is used to gauge the quality of the grasp and to quantify and validate the choice of hand configurations generated by the fuzzy logic expert system. The system is implemented within a low-cost virtual collaborative environment.
The Spatial Analysis of Time Series

In this paper, we propose a method of analyzing time series, called the spatial analysis. The analysis consists mainly of the statistical inference on the distribution given by the expected local time, which we define to be the spatial distribution, of a given time series. The spatial distribution is introduced primarily for the analysis of nonstationary time series whose distributions change over time. However, it is well defined for both stationary and nonstationary time series, and reduces to the time invariant stationary distribution if the underlying time series is indeed stationary. The spatial analysis may therefore be regarded as an extension of the usual inference on the distribution of a stationary time series to accommodate for nonstationary time series. In fact, we show that the concept of the spatial distribution allows us to extend many notions and ideas built upon the presumption of stationarity and make them applicable also for the analysis of nonstationary data. Our approach is nonparametric, and imposes very mild conditions on the underlying time series. In particular, we allow for the observations generated from a wide class of stochastic processes with stationary and mixing increments, or general markov processes including virtually all diffusion models used in practice. For illustration, we provide some empirical applications of our methodology to various topics such as the risk management, distributional dominance and option pricing.
Output feedback sampled-data stabilization of a class of uncertain nonlinear systems

This paper investigates the problem of using a sampled-data controller to globally stabilize a class of uncertain nonlinear systems whose output functions are not precisely known. To solve the problem, we first construct a new sampled-data observer and then use the output feedback domination approach to design a linear sampled-data controller. An explicit formula for the maximum allowable sampling period is computed to guarantee global stability of the uncertain nonlinear systems under the proposed controller with appropriate gains.
Multi-pitch estimation based on sparse representation with pre-screened dictionary

This paper presents a study on frame-level multi-pitch estimation (MPE) for polyphonic piano music based on sparse representation approach. In this approach, a multi-pitch input spectrum is represented by a sparse linear combination of a large number of spectrum exemplars in a given dictionary. By estimating the sparse weight vector and identifying its non-zero elements, a set of possible pitch candidates can be found. This study is focused mainly on the construction and optimization of the exemplar dictionary. A complete dictionary is first built from single-note piano music. We propose to perform prescreening on the dictionary by which the exemplars of the notes belonging to certain octaves and chromas are excluded during the subsequent estimation. Experimental results show that the pre-screening process not only helps in reducing the computational complexity, but also leads to more accurate pitch estimation. On the formulation of sparse estimation problem, we introduce a probabilistic assumption on the estimation error, such that the estimation is converted into a constrained convex quadratic programming problem. We also propose to use spectral combination as a new scheme of pitch determination from the estimated sparse weights.
Update on stents: Recent studies on the TAXUS® stent system in small vessels

Small vessel size (<3 mm) has been identified as an independent predictive factor of restenosis after percutaneous coronary intervention when using bare metal stents (BMS). It remains controversial whether BMS placement in small vessels has an advantage over balloon angioplasty in terms of angiographic and clinical outcomes. The advent of drug eluting stents (DES), either paclitaxel-eluting stents (PES) or sirolimus-eluting stents (SES), has strongly impacted interventional cardiology by significantly reducing restenosis and the need for repeat revascularization. Therefore, it was also expected that DES could substantially reduce restenosis in smaller vessels. However, even in the DES era, small vessel size remains an independent predictor of angiographic and clinical restenosis. To date, only a few studies systematically investigate the clinical effect of DES placement in small vessels. In addition, some potential issues with the use of DES have been raised, such as late stent thrombosis and late restenosis. In order to (i) establish the superiority of DES over BMS; (ii) verify the efficacy and safety of DES; and (iii) critically assess the superiority of one DES over the other in patients with small coronary arteries, further multicenter, randomized clinical trials with larger sample size are warranted.
The Effect of Bubbles on Internal Waves

Abstract The influence of gas bubbles on the properties of internal waves in a continuously stratified fluid is studied in the framework of a two-dimensional model of a diluted locally monodisperse mixture of an incompressible fluid with gas bubbles. The model takes into account the depth dependence of the void fraction of the bubbles, surface tension on the walls of the bubbles, and an effective viscosity, which accounts for the fluid viscosity, thermal damping, and other dissipative mechanisms. It is shown that bubbles, when present in the upper part of the ocean, change the value of the buoyancy frequency Nl in the absence of bubbles, replacing it with an effective value N, where N2 ≈ N2l + gαg0(lnn0)z (αg0 is the void fraction and n0 is the number density of the bubbles). First, plane linear waves in a uniformly stratified Boussinesq fluid are considered, and it is shown that there are two classes of plane waves. One class, the “bubble” wave, may propagate with frequencies higher than the effective bu.
Efficient Analysis of Substrate Integrated Waveguide Devices Using Hybrid Mode Matching Between Cylindrical and Guided Modes

In this paper, a new method to efficiently analyze substrate integrated waveguide (SIW) based devices with multiple accessing ports is presented. The problem is considered as a 2-D electromagnetic problem assuming no field variation normal to the dielectric substrate. The incident and scattered fields from each circular cylinder are expanded with cylindrical modes, and the fields in the waveguide ports are expanded using progressive and regressive modal summations. The addition theorems of Bessel and Hankel functions are used to analyze the full-wave behavior of the SIW device. In order to extract the circuital parameters, the hybrid mode-matching between guided and cylindrical modes is done by projecting continuity equations in a circular boundary containing the whole SIW structure over the inner modes of each region. Applying this new technique, it is possible to analyze multiple port devices by solving a set of integrals that can be easily approached analytically or by using the inverse fast Fourier transform, avoiding the use of non efficient numerical methods. It is shown that the new method runs faster than commercial software packages and other techniques recently published.
Association Rule Mining in XML databases : Performance Evaluation and Analysis

Data mining is the process of extracting useful information from the huge amount of data stored in the databases. Data mining tools and techniques help to predict business trends those can occur in near future. Association rule mining is an important technique to discover hidden relationships among items in the transaction. Association rules is a popular and well researched method for finding interesting relation between variables in large databases. For generating strong association rules, it depends on the association rule extraction by any algorithm for example Apriori algorithm or FP-growth etc and the evolution of the rules by different interestingness measure for example support/ The classical model of association rules mining is support-confidence. The goal is to experimentally evaluate association rule mining approaches in the context of XML databases. Algorithms are implemented using Java. For experimental evaluation different XML datasets are used. Apriori and FP Tree algorithm have been implemented and their performance is evaluated extensively. I. Introduction Data mining or Knowledge discovery in databases (KDD) is the process of discovering previously unknown and " useful " patterns form the huge amount of data stored in flat files, databases, data warehouses or any other type of information repository. Database mining deals with the data stored in database management systems. Data mining tools can answer business questions that traditionally were too time consuming to resolve. There are basically two most important reasons that data mining has attracted a great deal of attention in the recent years[2]. First, our capability to collect and store the huge amount of data is rapidly increasing day by day. Due to the decrease in the cost of storage devices and increase in the processing power of computers, now a days it is possible to store huge amount of organizational data and process it. The second but the more important reason is the need to turn such data into useful information and knowledge. If we are rich in data then we may or may not be rich in information, because the useful information is often hidden in the data. Data mining tools and techniques are used to generate information from the data that we have stored in our database repositories over the years. To take advantage in the market over the competitors, decision makers, administrators or managers need to mine the knowledge hidden in the data collected over the years and use that information in an effective …
0 40 70 29 v 1 1 5 Ju l 2 00 4 Symmetries and Lagrangian time-discretizations of Euler equations

In the late 80s early 90s J. Moser and A. P. Veselov considered Lagrangian discrete systems on Lie groups with additional symmetry conditions imposed on Lagrangians. They observed that such systems are often integrable time-discretizations of integrable Euler equations on these Lie groups. In recent papers we studied Lagrangian discrete systems with additional symmetry requirements on certain infinitedimensional Lie groups. We will discuss some interesting properties of these systems. 2000 Mathematical Subject Classification 34K99, 22E65, 70H99
Improving the performance of nonlinear stabilization of multiple integrators with bounded controls

Abstract This paper deals with the global stabilization of integrators chain by means of a bounded feedback. Two nonlinear control laws made of summation of saturation of the state are proposed. The first one extends [Sussmann et al., 1994] and the second proposes variable level of the saturation to improve the performance. Both remains very simple and improve significantly the efficiency of the approach that is very competitive with respect to the other existing methods, especially for its performance/complexity ratio.
Delivering Higher Education Policies within a Challenging Community

The aim of this paper is to examine how the University of Huddersfield embraced the ethos of community cohesion and made moves into a problematic community. Drawing on qualitative research conducted in Oldham in Greater Manchester the paper presents insights into how higher education is viewed in the area. The research reveals that higher education in a deprived community is successful but one of the complications in such an environment is related to the policy context. The paper acknowledges the transformation in higher education but argues that central government and higher education bodies need to clarify and consolidate policy initiatives.
Investigations of AMC and its applications for performance enhancement of planar antenna arrays

Artificial magnetic conductor structures (AMCs) is an effective approach to significantly improve the bandwidth and radiation gain of low-profile antennas. Comparing with other techniques, it needs no extra fabricated processes and takes the merit of easy integration. Three examples of AMC structure-based patch antennas are proposed and experimentally demonstrated. As a result, the 2×2 edge-fed patch antenna array using AMCs can achieve over 4 times bandwidth enhancement and about 3dB peak gain improvement than cavity backed antenna. Comparing with the conventional square AMCs, the patch antenna using the AMCs with inserted-stubs can achieve wider bandwidth and higher and more stable gain. Although low temperature co-fired ceramics (LTCC) substrate has a high permittivity, the relative bandwidth of the mmW LTCC antenna array using AMCs can reach 13.7%, which is about 5 times wider than that of ordinary antenna; meanwhile the peak gain can reach 13.3dBi, the stable gain (±1dB) and radiation pattern in the whole band of interest can be observed also.