Miracle-dz/UniFAR-FTUs huggingface dataset:
Matching Reviews to Database Objects Based on Labeled Latent Dirichlet Allocation Model

We develop a method for matching unstructured reviews to database objects in data integration, where each object has a set of attributes. To this end, we propose a Labeled Latent Dirichlet Allocation model. We model reviews as if they were generated by a two-stage stochastic process. Each review is represented by a probability distribution over attributes, and each attribute is represented as a probability distribution over words for that attribute. We introduce the label for each attribute, and then the model integrates object information. We use an unsupervised manner to estimate the model parameters, and use this model to find, given a review, the most likely object to be the topic of the review. Experiments in multiple domains show that our method is superior to the TFIDF method as well as a recent RLM method for the review matching problem.
Swing-up control for a class of underactuated mechanical systems using numerical system solutions

This work demonstrates that the underactuated mechanical systems such as the acrobot, the pendubot, the cart-pendulum system, the Furuta pendulum, and the inertia wheel pendulum can be swung up with a common control principle, and derives a generic control method that uses the principles of the energy pumping and the control of the global integration error. The main contribution of this work is using the numerical solutions of the system equations in the control law with a reasonable computational effort. An integration tool, which is capable of controlling the global integration error, is required to determine the controller parameters. The control aim is achieved in two steps. First, a control law, which steers the system to an arbitrarily close neighborhood of the target equilibrium is presented. Afterwards, the system is asymptotically steered to the target equilibrium state by activating a second control law that is linear, and locally stabilizes the target equilibrium.
An Approach to Flux Control of Induction Motors Operated with Variable-Frequency Power Supply

A new speed control system for induction motors has been developed which is capable of controlling with quick field weakening and superior response and stability. This method is to control the stator current as a vector quantity on the basis of slip frequency control. More specifically, it is designed to calculate the commanded stator current of the induction motor by corresponding to flux and torque commands on the basis of motor constants and use the calculated commands to control the stator current.
A Comparative Case Study Investigating the Adoption of Customer Relationship Management (CRM) The Case of Tesco and Sainsbury's

From cross comparison viewpoint, this study has been designed with the objectives of: first, t o explore the key influential aspects of CRM and second, to identify and critically discuss the curr ent trends of CRM adoption. Tesco and Sainsbury’s are two major retailers in the United Kingdom and taking these as the case studies. This mixed method study has employed the in depth interview techniques with the use of semi structured questions. Major retailers in the United Kingdom have been adopting strategies and policies of customer relationship management. Results have indicated that, effective CRM can influences positively and thus to ensure business growth and profitability. T he Loyalty Card holders of both Tesco and Sainsbury’s do not frequently shop at other retailers, responsiveness is the key factor for effective CRM, and newsletters sent to the customers are the most reliable way for information sharing.
Adaptive Control for Solver Performance Optimization in Reservoir Simulation

Run-time performance of a reservoir simulator is significantly impacted by the selection of the linear solver preconditioner, iterative method and their adjustable parameters. The choice of the best solver algorithm and its optimal parameters is a difficult problem that even the experienced simulator users cannot adequately solve by themselves. The typical user action is to use the default solver settings or a small perturbation of them that are frequently far from optimal and consequently the performance may deteriorate. There has been extensive research to develop automatic performance tuning and self-adaptive solver selection systems. For example Self-Adapting Large-scale Solver Architecture (SALSA) developed at the University of Tennessee requires running of large number of problems to initialize the system before using it. In contrast we propose an adaptive control on-line system to optimize the simulator performance by dynamically adjusting the solver parameters during the simulation. We start with a large set of parameters and quickly choose the best combinations that are continuously adapted during the simulation using the solver runtime performance measurements (e.g. solver CPU time) to guide the search. This software system, called the Intelligent Performance Assistant (IPA), has been successfully integrated into ExxonMobil’s proprietary reservoir simulator and deployed with it worldwide. The system can handle a large number of combinations of solver parameters, currently in the order of 108, and consistently improves run time performance of real simulation models, frequently by 30% or more, compared to the performance with the default solver settings. Moreover, IPA includes a persistent memory of solver performance statistics. The runtime statistics from these individual runs can be gathered, processed using data mining techniques and integrated in the IPA system, thus allowing its continuous improvement.
PAoS Markers: Trajectory Analysis of Selective Phonological Posteriors for Assessment of Progressive Apraxia of Speech

Progressive apraxia of Speech (PAoS) is a progressive motor speech disorder associated with neurodegenerative disease causing impairment of phonetic encoding and motor speech planning. Clinical observation and acoustic studies show that duration analysis provides reliable cues for diagnosis of the disease progression and severity of articulatory disruption. The goal of this paper is to develop computational methods for objective evaluation of duration and trajectory of speech articulation. We use phonological posteriors as speech features. Phonological posteriors consist of probabilities of phonological classes estimated for every short segment of the speech signal. PAoS encompasses lengthening of duration which is more pronounced in vowels; we thus hypothesize that a small subset of phonological classes provide stronger evidence for duration and trajectory analysis. These classes are determined through analysis of linear prediction coefficients (LPC). To enable trajectory analysis without phonetic alignment, we exploit phonological structures defined through quantization of phonological posteriors. Duration and trajectory analysis are conducted on blocks of multiple consecutive segments possessing similar phonological structures. Moreover, unique phonological structures are identified for every severity condition.
The Diffusion of Information Technology in Singapore Schools: a Process Framework

This study looked into the way in which Singapore implemented the use of information technology in its schools. It adopted a process framework in using the diffusion approach to study the issue. Instead of focusing primarily on the outcome of adoption it also looked at context and actors' dimensions. The study found that the communication process was persuasion-oriented instead of interaction-oriented as intended by the new communication model. The communication process was outcome-oriented; communication was pro-innovation-biased and the message preoccupied with persuasion. Little room was given for the active interpretation of recipients and involvement of the recipients in planning. The study found that the practical operation of the two-way communication model was limited by the inherent top-down approach of the diffusion approach. It also found that the integration of IT into lessons was best achieved by granting autonomy to the schools.
Certifying Adaptive Flight Control Software

As aircraft designs become more complex, automationhas become an important factor in improving safety and reliability. Automated flight control systems can respond intelligently to faults when it is impractical for a human to take control quickly. In recent years neural networks have been proposed for fault identification and accommodation purposes within flight control schemes because they are well suited to non-linear, multi-variable systems. Because neural networks learn to associate various control actions with particular input data patterns, they avoid the need to explicitly program all the relevant fault situations. A major issue in the use of adaptive fault-tolerant flight control systems is certification. Current practice relies heavily on testing as a means of performing certification. This has two shortcomings, the first being high cost. The second shortcoming of certification by testing is that it only provides a fairly limited guarantee. Certification based on testing exclusively is meaningless for new software technologies, such as adaptive controllers and neural networks which ”learn” after deployment since the system tested in the lab is not the system that is being run in the field. In this paper, we formulate the research problems underlying the certification of adaptive systems. We also describe preliminary results of a certification case study, based on the methodology which combines formal methods and automated testing, and identify the areas of basic research needed to overcome the limitations observed in the proposed framework.
Incidence and clinical significance of distal embolization during primary angioplasty for acute myocardial infarction.

AIMS Although recognized as an important feature of atherosclerotic coronary disease, little is known about the frequency and prognostic importance of distal embolization during primary angioplasty for acute myocardial infarction. METHODS AND RESULTS As part of a randomized trial of thrombolysis vs primary angioplasty, 178 patients with acute myocardial infarction were treated with primary angioplasty. In these patients the occurrence of distal embolization after angioplasty was assessed. Embolization was defined as a distal filling defect with an abrupt 'cutoff' in one of the peripheral coronary artery branches of the infarct-related vessel, distal to the site of angioplasty. We analysed myocardial blush grade, ST-T segment elevation resolution, enzymatic infarct size and left ventricular ejection fraction in patients with and without distal embolization. Clinical information was collected for a mean of 5 years. Distal embolization was present in 27 patients (15.2%). Mean age and gender were not different from patients without distal embolization. Angiographic success (thrombolyis in myocardial infarction flow grade 3 and residual stenosis <50%) after primary angioplasty was less frequently observed in patients with distal embolization (70% vs 90%, P<0.01). Myocardial blush and ST-T segment elevation resolution after angioplasty were reduced when distal embolization was present. Patients with distal embolization had a larger enzymatic infarct size (mean cumulative lactate dehydrogenase measured over 72 h, 1612 vs 847, P<0.05) and a lower left ventricle ejection fraction at discharge (42% vs 51%, P<0.01). Long-term mortality was higher in patients with distal embolization (44% vs 9%, P<0.001). CONCLUSION Distal embolization in patients treated with primary angioplasty is visible on the coronary angiogram in 15.2% of patients. It is related to reduced myocardial reperfusion, more extensive myocardial damage and a poor prognosis. Additional pharmacological interventions and/ or mechanical devices should be studied to prevent and/or treat distal embolization.
Rapid Assessment of Cardiac Contractility on a Home Bathroom Scale

Analyzing systolic time intervals-specifically the preejection-period (PEP)-is widely accepted as one of the few methods for the noninvasive assessment of cardiac contractility. In this paper, we investigated the ballistocardiogram (BCG) as a way to noninvasively measure myocardial contractility when combined with the ECG. Specifically, we derived a parameter from the BCG and ECG that we hypothesized would be highly correlated to PEP. This is the time delay between the J-wave peak of the BCG and the R-wave of the ECG, which we refer to as the RJ interval. The RJ interval was correlated to PEP (r2 = 0.86) for 2126 heart beats across ten subjects, with a y-intercept of 138 ms and slope of 1.05. This suggests that the RJ interval can be reliably used as a noninvasive assessment of cardiac contractility.
Exchange rate uncertainty and monetary transmission in the Philippines

This is an empirical investigation of how exchange rate volatility and monetary policy have been transmitted in a developing macro economy of the Philippines. The main thesis of this paper is that the relationship between exchange rates and interest rates are unpredictable in a globalized finance. However, under some standard assumptions, interest rates can be adjusted to smooth nominal exchange rate movements at the expense of increased volatility in other variables. An open and dynamic macroeconometric model is estimated and identified the channels of monetary policy transmission – interest rate, exchange rate and expectations and provide three innovative points. First, the specification of the exchange rate based on uncovered interest parity condition is a first formal attempt to uncover its role, along with the uncertainties it takes, to the central bank reaction function. Second, the limited role of money assumed in this model paves the way for the importance of using “policy rule” in interest rate setting. And third, the inclusion of the Government’s medium-term inflation target is a first formal shot on how the central bank may treat expectations in monetary management. Results show that although the lag structure is short, the policy interest rate elasticity to macroeconomic equilibrium is low. This leaves the impression that a slight deviation from the expected path requires a significant change in policy rate to bring the economy back to the central path. In contrast, the direct and indirect pass through effects from exchange rate to inflation are both relatively high, suggesting that it is an effective transmission mechanism. However, the influence of monetary policy on the exchange rate is limited as the standard uncovered interest parity condition is satisfied inadequately. Results show that the more volatile risk premium largely determines the behavior of exchange rate, suggesting that it may not be grounded on fundamentals. These findings indicate that the link between the interest rate and the exchange rate is highly unpredictable, leading up to uncertainty in the conduct of monetary policy.
Building a Fast Double-Dummy

Compared to other games, particularly chess, the research in computer bridge is immature, and the best bridge-playing programs are mediocre. In this paper we address the problem of designing a fast double-dummy bridge game (i.e., a simpliied bridge game with perfect information) solver. Although th size of the game tree we generated for searching the best line of play is huge (about on the order of 13! 2 39 10 21 , even if we assume the average branching factor for players to follow suit is just 2), we show that , through varieties of searching techniques and some eecient moves ordering and pruning heuristics, most double-dummy bridge hands can be solved within a reasonable amount of time. In this paper we rst give a brief introduction to computer bridge and previous work on the card-playing phase of bridge. Next, we describe the top-level architecture of our double-dummy solver (dds), followed by a number of implementation techniques we employed in our dds. Finally we present experimental results, draw our conclusion and describe some future work toward automating card-playing in real bridge.
Erythropoiesis Suppression Is Associated with Anthrax Lethal Toxin-Mediated Pathogenic Progression

Anthrax is a disease caused by the bacterium Bacillus anthracis, which results in high mortality in animals and humans. Although some of the mechanisms are already known such as asphyxia, extensive knowledge of molecular pathogenesis of this disease is deficient and remains to be further investigated. Lethal toxin (LT) is a major virulence factor of B. anthracis and a specific inhibitor/protease of mitogen-activated protein kinase kinases (MAPKKs). Anthrax LT causes lethality and induces certain anthrax-like symptoms, such as anemia and hypoxia, in experimental mice. Mitogen-activated protein kinases (MAPKs) are the downstream pathways of MAPKKs, and are important for erythropoiesis. This prompted us to hypothesize that anemia and hypoxia may in part be exacerbated by erythropoietic dysfunction. As revealed by colony-forming cell assays in this study, LT challenges significantly reduced mouse erythroid progenitor cells. In addition, in a proteolytic activity-dependent manner, LT suppressed cell survival and differentiation of cord blood CD34+-derived erythroblasts in vitro. Suppression of cell numbers and the percentage of erythroblasts in the bone marrow were detected in LT-challenged C57BL/6J mice. In contrast, erythropoiesis was provoked through treatments of erythropoietin, significantly ameliorating the anemia and reducing the mortality of LT-treated mice. These data suggested that suppressed erythropoiesis is part of the pathophysiology of LT-mediated intoxication. Because specific treatments to overcome LT-mediated pathogenesis are still lacking, these efforts may help the development of effective treatments against anthrax.
Shadow Analysis in High-Resolution Satellite Imagery of Urban Areas

High-resolution satellite imagery (HRSI) offers great possibilities for urban mapping. Unfortunately, shadows cast by buildings in high-density urban environments obscure much of the information in the image leading to potentially corrupted classification results or blunders in interpretation. Although significant research has been carried out on the subject of shadowing in remote sensing, very few studies have focused on the particular problems associated with high-resolution satellite imaging of urban areas. This paper reviews past and current research and proposes a solution to the problem of automatic detection and removal of shadow features. Tests show that although detection and removal of shadow features can lead to improved image quality, results can be image-dependent.
Spatially-adaptive Filtering in a Model-based Machine Vision Approach to Robust Workpiece Tracking

| The introduction of model-based machine vision into the feedback loop of a robot manipulator usually implies that edge elements extracted from the current digitized video frame are matched to segments of a workpiece model which has been projected into the image plane according to the current estimate of the relative pose between the recording video camera and the workpiece to be tracked. In the case in which two (nearly) parallel projected model segments are close to each other in the image plane, the association between edge elements and model segments can become ambiguous. Since mismatches are likely to distort the state variable update step of a Kalman-Filter-based tracking process, suboptimal state estimates may result which can potentially jeopardize the entire tracking process. In order to avoid such problems , spatially adjacent projected model segments in the image plane have been suppressed by an augmented version of a hiddenline algorithm and thereby excluded from the edge element association and matching step { see, e.g., Tonko et al., ICRA'97, pp. 3166{3171. Here, we study an alternative approach towards increasing the robustness of a machine-vision-based tracker, exploiting the fact that a gradient lter can be adapted to the spatial characteristics of the local gray-value variation: the lter mask is compressed in the gradient direction and enlarged perpendicular to the gradient direction, i. e. along the edge. We investigate the eeect which such a spatially adaptive gradient lter for the extraction of edge elements from image frames exerts upon the association between edge elements and model segments, upon the subsequent tting process in the update step, and thereby upon the robustness of the entire model-based tracking approach.
Design of single-phase inverter controlled by DSC based on SVPWM technique

In practice, SVPWM technique has the advantages of high utilization rate of DC voltage, small loss of FFT, and easy-to-realize through Digital Controls, so this paper applied it to the single-phase inverter controlled by DSC (digital controller). By querying the data table, DSC generates single-phase SVPWM signals with dead-time control, which modulate H-bridge inverter to output AC through the high voltage driver chip-IR2113. The apply of the high-speed operation characteristic which make DSC be able to carry out PID feedback regulation and the eQEP (enhanced quadrature encoder pulse) which track and regulation the phase, make the system basically achieve the purpose of the instantaneous steady-state regulation of self-adaptive.
Maximum matching and a polyhedron with 0,1-vertices

in a graph C is a subset of edges in C such that no two meet the same node in C. The convex polyhedron C is characterized, where the extreme points of C correspond to the matchings in C. Where each edge of C carries a real numerical weight, an efficient algorithm is described for finding a matching in C with maximum weight·sum.
A Measure of Emotional Empathy for Adolescents and Adults

A new, multi-dimensional scale of emotional empathy is described. The scale consists of 30 items and was administered to 793 adolescents and adults. A principal components analysis yielded six meaningful factors. Alpha reliabilities for all scale scores were moderate to high, and the scales demonstrate significant relationships to a number of behavioral criteria. The new empathy scale measures emotional aspects of empathy and can be used by researchers interested in a general measure of emotional empathy as well as providing detailed sub-scales.
Harmonium: Elastic Cloud Storage via File Motifs

Modern applications expand to fill the space available to them, exploiting local storage to improve performance by caching, prefetching and precomputing data. In virtualized settings, this behavior compromises storage elasticity owing to a rigid contract between the hypervisor and the guest OS: once space is allocated to a virtual disk and used by an application, it cannot be reclaimed by the hypervisor. In this paper, we propose a new guest filesystem called Harmonium that exploits the ephemeral or derivative nature of application data. Each file in Harmonium optionally has a motif that describes how the file can be reconstructed via computation, network accesses, or operations on other files. Harmonium expands files from their motifs when space is available, and contracts them back to their motifs when it is scarce. Given a target size, the system selects files to expand or contract based on the load on the CPU, network, and storage, as well as expected access patterns. As a result, Harmonium enables elastic cloud storage, allowing the hypervisor to dynamically balance storage across multiple VMs.