Miracle-dz/UniFAR-FTUs huggingface dataset:
Service-Oriented Architecture and Computing

Service-Oriented Computing (SOC) is a new computing paradigm that utilizes services as the primitive computing unit to support development and composition of larger-granularity services in heterogeneous environments. The specification and execution of services in such environments is meant to support agility in application structures, flexibility for business processes and development of applications that can easily span organizational boundaries. The vision is being realized with the standardization (Umapathy & Purao, 2007) of several core layers for Web Services (WS) as well as WS-* components that provide important add-ons and respond to non-functional requirements such as reliability (Erl, 2005). The overall infrastructure is being built with these components and is called Service-Oriented Architecture (SOA). Wollrath, 1999) and SOAP (Simple Object Access Protocol)/UDDI (Universal Discovery Description and Integration) (Box et al., 2000), is a relatively new term, technologies related to SOA, e.g., RPC (remote procedure call) (Birrell & Nelson, 1984), have been studied extensively since early 70s. OASIS (Organization for the Advancement of Struc-tured Information Standards) defines SOA as a collection of best practices, principles and patterns related to service-aware, enterprise-level, distributed computing. Together, SOC, WS and SOA have tremendous potential to reshape businesses, including the health and government sector (Zhao & Cheng, 2005) as well as sciences (Foster, 2005). In principle, the service-oriented approach, independent of specific programming languages or operating systems and implemented using a self-describing interface, allows organizations to expose their core competencies programmatically over the Internet or a variety of networks using standard XML-based languages and protocols (Papazoglou, Traverso, Dustdar, & Leymann, 2008). The evolving platform has spawned, over the last few years, tracks, mini-tracks as well specialized conferences such as IEEE Services Congress, International Conference on Web Services and Service-oriented Computing Conference, and has provided an impetus to considerable activity in several research communities , including computer science, software engineering, workflow and process modeling and organizational IT – broadly construed as computation-focused, software-focused and organization-focused. The computation-focused research communities are largely concerned with problems related to composition and execution. Problems of interest to this community, therefore, often include service composition in the presence of multiple services, reliability and efficient execution. The shift to SOA and WS – that includes loosely coupled services – from the product-oriented software architecture can invalidate many techniques developed for traditional software, including the software reliability models. For example, a Service-Oriented software Reliability Model (SORM) evaluates the reliability of WS in two steps, both …
Matching Workers Expertise with Tasks : Incentives in Heterogeneous Crowdsourcing Markets ∗

Designing optimal pricing policies and mechanisms for allocating tasks to workers is central to the online crowdsourcing markets. In this paper, we consider the following realistic setting of online crowdsourcing markets we are given a heterogeneous set of tasks requiring certain skills; each worker has certain expertise and interests which define the set of tasks she is interested in and willing to do. Given this bipartite graph between workers and tasks, we design our mechanism TM-UNIFORM which does the allocation of tasks to workers, while ensuring budget feasibility, incentive-compatibility and achieves near-optimal utility. We further extend our results by exploiting a link with online Adwords allocation problem and present a randomized mechanism TM-RANDOMIZED with improved approximation guarantees. Apart from strong theoretical guarantees, we carry out extensive experimentation using simulations on a realistic case study of Wikipedia translation project using Mechanical Turk. Our results demonstrate the practical applicability of our mechanisms for realistic crowdsourcing markets on the web. We note that this is the first paper that addresses this setting of matching tasks to workers from a mechanism design perspective. Previous work either made a simplifying assumption that tasks are homogeneous or didn’t consider the matching constraints given by the bipartite graph.
MULTIRESOLUTION SEGMENTATION : A PARALLEL APPROACH FOR HIGH RESOLUTION IMAGE SEGMENTATION IN MULTICORE ARCHITECTURES

In automatic image interpretation, the process of extracting different objects that compose an image is one of the primary steps. This process is known as image segmentation and consists of subdividing an image into meaningful regions, also called segments, which will be classified in a later step. Many of the existing segmentation algorithms, however, have high computational cost for large images as the currently high-resolution remote sensing images. The main focus of this paper is to tackle this problem by using parallel processing. The idea is to explore current multi-core architectures available in commercial processors in order to speedup the segmentation process. A multithreading parallel implementation of a region growing algorithm proposed originally by Baatz and Schäpe (2000) is presented that aims at providing better execution times, while delivering a similar outcome produced by the sequential version. The algorithm is able to work with any number of threads, which is defined as an input parameter, so as to take full advantage of the upcoming processors having any number of cores. The current parallel implementation was tested on three different images on a quad-core processor and obtained up to 2.6 of segmentation speedup.
What Cognitive Psychology Can Contribute to Clinical Assessment

Cognitive psychology is the science of discovering the mechanisms by which the brain processes the outside world. By examining behavior, cognitive psycholo­ gists attempt to infer the existence of systems in the brain that work together to an­ alyze conditions external and internal to the animal (usually humans) and to decide what actions should be produced. Cognitive psychology evolved as a reaction to behaviorism, which was popular in the mid-1900s. Behaviorism said that the mind was an impenetrable black box and science could only study the inputs and the re­ sulting outputs and should not make assumptions about the operations that con­ nect the two. In contrast, cognitive psychology's main goal is to understand the transformations that occur between the input the organism receives and the output or behavior the organism produces. The types of behaviors (and underlying sys­ tems) that cognitive psychologists study include: learning, memory, attention, vi­ sual perception, reasoning, and language perception (reading and hearing) and production (writing and speaking). Cognitive psychology seeks to understand how the brain translates the pattern of photons hitting the retina (in seeing) or the pat­ tern of sound waves hitting the eardrum (in hearing) into meaningful units. These meaningful units must be interpreted so the organism knows how to respond to its environment immediately and how it might be stored for later reference. To ac­ complish these goals, the brain comprises a conglomeration of multiple subsys­ tems that have specialized duties. Cognitive psychology studies what goes in and
CASE-BASED EXPLORATION OF THE AUGMENTED PROTOTYPING DIALOGUE TO SUPPORT DESIGN

ABSTRACT The concept of Augmented Prototyping combines Rapid Prototyping techniques (e.g. Stereolithography, CNC milling) with Augmented Reality systems. The aim is to establish a high sense of engagement in the design process, supporting both exploration and presentation. In this paper, two Augmented Prototyping Systems are discussed: kitchen layout and a nightclub interior. These differ in a variety of aspects (most notably scale), yet are representative of typical prototyping scenarios. Our objective is to identify key issues and guidelines of the multimodal design interface for Augmented Prototyping systems. The systems were evaluated by senior design students, resulting in positive potential for exploration and evaluation tasks. A prototyping platform called WARP and four categories of design support are introduced. Future versions of our systems will support better tracking technologies and more elaborate simulation means. KEYWORDS Augmented Prototyping, Augmented Reality, Rapid Prototyping, design process.
Bootstrap Gaussian Process classifiers for rotating machinery anomaly detection

Rotating machinery anomaly detection is of paramount significance for industries to prevent catastrophic breakdown and improve productivity and personnel safety. The kernel classifier support vector machine (SVM) has shown excellent performance towards this purpose, but it is difficult to optimize relevant hyper-parameters. In this paper, we propose a new anomaly detection approach by merging Gaussian process classifiers (GPCs) and bootstrap methods. GPCs are Bayesian probabilistic kernel classifiers and provide a well established Bayesian framework to determine the optimal or near optimal kernel hyper-parameters. They are largely unexplored for anomaly detection applications; consequently we take the initiatives to investigate GPCspsila performance in these scenarios. Bootstrap methods are incorporated to improve GPCspsila performance for small machinery anomaly samples by resampling at random. The proposed approach is evaluated on a motor testbed and wavelet packet is utilized to perform vibration analysis. Experiment results show bootstrap GPCs are highly effective and outperform GPCs and SVM with cross validation for anomaly detection. Moreover GPCs also prove to outperform SVM. Thus the proposed approach is promising for rotating machinery anomaly detection.
Synthetic lethal targeting of PTEN mutant cells with PARP inhibitors

The tumour suppressor gene, phosphatase and tensin homolog (PTEN), is one of the most commonly mutated genes in human cancers. Recent evidence suggests that PTEN is important for the maintenance of genome stability. Here, we show that PTEN deficiency causes a homologous recombination (HR) defect in human tumour cells. The HR deficiency caused by PTEN deficiency, sensitizes tumour cells to potent inhibitors of the DNA repair enzyme poly(ADP‐ribose) polymerase (PARP), both in vitro and in vivo. PARP inhibitors are now showing considerable promise in the clinic, specifically in patients with mutations in either of the breast cancer susceptibility genes BRCA1 or BRCA2. The data we present here now suggests that the clinical assessment of PARP inhibitors should be extended beyond those with BRCA mutations to a larger group of patients with PTEN mutant tumours.
Dynamic simulation model for two-phase mutually coupled reluctance machines

This paper presents a simple yet robust and flexible dynamic simulation model for two-phase reluctance type machines. Normalized electromagnetic properties of the lamination geometry, the 'flux map', are obtained using nonlinear magnetostatic finite element analysis (FEA). A data conversion algorithm is developed to convert this data into a form suitable for voltage driven dynamic simulation, i.e. a two-phase coupled flux-MMF-position characterization. System dynamic equations are derived and solved with the Gauss-Seidel method using the converted data without further need for FEA. Comparison with experimental results for an 8/4 flux switching machine with asymmetry shows good agreement. This model can be used to rapidly simulate any winding configuration or excitation scheme based upon the characterized geometry and is, thus, especially suitable for commercial design.
Acute interstitial nephritis: clinical features and response to corticosteroid therapy.

BACKGROUND Acute interstitial nephritis (AIN) is a recognized cause of reversible acute renal failure characterized by the presence of an interstitial inflammatory cell infiltrate. METHODS In order to evaluate the clinical characteristics and management of this disorder, we performed a retrospective study of all cases of AIN found by reviewing 2598 native renal biopsies received at our institution over a 12 year period. Presenting clinical, laboratory and histological features were identified, as was clinical outcome with specific regard to corticosteroid therapy response. RESULTS AIN was found in 2.6% of native biopsies, and 10.3% of all biopsies performed in the setting of acute renal failure during the period analysed (n = 60). The incidence of AIN increased progressively over the period observed from 1 to 4% per annum. AIN was drug related in 92% of cases and appeared to be idiopathic in the remainder. The presenting symptoms included oliguria (51%), arthralgia (45%), fever (30%), rash (21%) and loin pain (21%). Median serum creatinine at presentation was 670 micromol/l [interquartile range (IQR) 431-1031] and 58% of cases required acute renal replacement therapy. Corticosteroid therapy was administered in 60% of cases. Serum creatinine at baseline was similar in the corticosteroid-treated and conservatively managed groups; 700 micromol/l (IQR 449-1031) vs 545 micromol/l (IQR 339-1110) P = 0.4. In this, the largest retrospective series to date, we did not detect a statistically significant difference in outcome, as determined by serum creatinine, between those patients who received corticosteroid therapy and those who did not, at 1, 6 and 12 months following presentation. CONCLUSION The results of this study do not support the routine administration of corticosteroid therapy in the management of AIN.
Psychische Störungen bei Männern – Fokus Depression

Summary Psychische Störungen sind von zunehmender gesellschaftlicher und gesundheitsökonomischer Bedeutung, sie sind jedoch nach wie vor unterdiagnostiziert und unterbehandelt. Dies gilt insbesondere für Depressionen bei Männern. Gründe für die Unterdiagnostizierung sind neben einer mangelnden Inanspruchnahme professioneller Hilfe die Orientierung an Normen traditioneller Maskulinität sowie ein deutlicher Genderbias (siehe Infokasten) in der Depressionsdiagnostik. Da unbehandelte Depressionen schwerwiegende Folgen haben können, erscheint die Verbesserung der Diagnostik, Prävention und Behandlung unter Genderaspekten als eine der größten gesundheitspolitischen Herausforderungen der Zukunft.
Being in Two Places at Once: Smooth Visual Path Following on Globally Inconsistent Pose Graphs

Early work in the field of SLAM asserted that globally metrically consistent maps expressed in a single coordinate frame were necessary for autonomous operation. It has been shown previously that chain-structured and tree-structured optometric maps provide sufficient information for accurate path following. This paper extends this concept to arbitrarily connected graph structures with loop closures. We show that globally inconsistent maps may be treated as a set of locally defined Riemannian manifolds, and that this representation is sufficient for path repetition tasks. We demonstrate smooth path following on an inconsistent optometric map with loop closures, using the existing Visual Teach and Repeat (VT&R) framework for vision-in-the-loop control. Path-tracking errors are maintained within nominal values despite disparities of over 2m between the local and global representations of robot pose. Traversal of large map discontinuities is found to have no adverse effect on robot performance, allowing segments of the map to be repeated in a different order than they were trained.
Distributed Customer Classification Model Based on Improved Bayesian Network

In this paper, a distributed customer classification model based on improved Bayesian network was proposed to solve a distributed customer classification problem. First, using mobile agents which could visit distributed data-sets, the multi-attributes tree and the Bayesian network were built. Then, all the distributed data-sets were trained by Bayesian network structure learning and parameter learning. By this way, customer classification could be evaluated. Comparing with the traditional customer classification models, the experiment result showed that the distributed customer classification model could solve the problems of heavy burden, large storage costs and inefficiency during Bayesian network learning. And this model showed higher forecast precision and better practicability.
Title Stator-flux-oriented fault-tolerant control of flux-switchingpermanent-magnet motors

Rights ©2011 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. Flux-switching permanent-magnet (FSPM) motors are a newly developed brushless AC (BLAC) machine having magnets in the stator. This paper proposes and implements a stator-flux-oriented (SFO) control strategy for fault-tolerant operation of FSPM motors. The key is to set the-axis component of armature current invariant before and after the fault. In the rotor reference frame, by building a SFO-equation of the FSPM motor, the fault-tolerant control strategy is deduced. The finite-element method and the field-circuit cosimulation method are employed to analyze the performance of the FSPM motor drive. Finally, a dSPACE-based FSPM motor drive platform is built for experimental verification. Both the steady-state and dynamic performances at normal and fault-tolerant operations are tested, confirming that the proposed fault-tolerant operation can keep the output torque invariant while offering good dynamic performance during fault.
Manipulating glucocorticoids in wild animals: basic and applied perspectives

Experimental elevations of glucocorticoids are used to understand how chronic exposure to stressors affects vertebrate performance. A variety of methods exist to exogenously manipulate glucocorticoids. Animal responses to glucocorticoid manipulations are variable within and among species. Incorporating glucocorticoid measures into conservation physiology should involve consideration of factors driving this variation.
The perception of emotion and identity in non-speech vocalisations

The voice contains a wealth of information relevant for successful and meaningful social interactions. Aside from speech, the vocal signal also contains paralinguistic information such as the emotional state and identity of the speaker. The three empirical chapters reported in this thesis research the perceptual processing of paralinguistic vocal cues. The first set of studies uses unimodal adaptation to explore the mental representation of emotion in the voice. Using a series of different adaptor stimuli -human emotional vocalisations, emotive dog calls and affective instrumental bursts- it was found that aftereffects in human vocal emotion perception were largest following adaptation to human vocalisations. There was still an aftereffect present following adaptation to dog calls, however it was smaller in magnitude than that of the human vocalisation aftereffect and potentially as a result of the acoustic similarities between adaptor and test stimuli. Taken together, these studies suggest that the mental representation of emotion in the voice is not species specific but is specific to vocalisations as opposed to all affective auditory stimuli. The second empirical chapter examines the supramodal relationship between identity and emotion in face-voice adaptation. It was found that emotional faces have the ability to produce aftereffects in vocal emotion perception, irrespective of the identity of the adaptor and test stimuli being congruent. However, this effect was found to be dependent upon the adapting stimuli being dynamic as opposed to static in nature. The final experimental chapter looks at the mechanisms underlying the perception of vocal identity. A voice matching test was developed and standardised, finding large individual differences in voice matching ability. Furthermore, in an identity adaptation experiment, absolute difference in aftereffect size demonstrated a trend towards significance when correlated with voice matching ability, suggesting that there is a relationship between perceptual abilities and the degree of plasticity observed in response adaptation.
Nonlinear Granger Causality and its application in decoding of human reaching intentions

Multi-electrode recording is a key technology that allows the brain mechanisms of decision making, cognition, and their breakdown in diseases to be studied from a network perspective. As the hypotheses concerning the role o f neural interactions in cognitive paradigms become increasingly more elaborate, the ability to evaluate the direction o f neural interactions in neural networks holds the key to distinguishing their functional significance. Granger Causality (GC) is used to detect the directional influence o f signals between multiple locations. To extract the nonlinear directional flow, GC was completed through a nonlinear predictive approach using radial basis functions (RBF). Furthermore, to obtain the directional relations in the frequency domain, which is lost at the expense o f a relatively accurate overall GC estimate, we investigated how the nonlinear GC influences in different frequency bands can be extracted by the proper linearization process. When the error between the nonlinear fitting signal and the linear fitting signal falls below a specific threshold, the frequency components can be approximated. Also, the advantage o f this method is that this frequency decomposition model does not rely on the formation o f a nonlinear process. We applied the proposed strategy to a brain computer interface (BCI) application to decode the different intended arm reaching movement (left, right and forward) using 128 surface electroencephalography (EEG) electrodes, A threshold method was set up through a spatial statistical process where only the strongest 20% o f causality pathways is shown, where the directions o f causal influence of active brain regions were found to be unique with respect to the intended direction. The left and right motor intention directions were found to be highly separable in the theta rhythm (3-8 Hz) only. APPROVAL FOR SCHOLARLY DISSEMINATION The author grants to the Prescott M emorial Library o f Louisiana Tech U niversity the right to reproduce, by appropriate m ethods, upon request, any or all portions o f this D issertation. It is understood that "proper request7’ consists o f the agreem ent, on the part o f the requesting party, that said reproduction is for his personal use and that subsequent reproduction w ill not occur without w ritten approval o f the author o f this D issertation. Further, any portions o f the D issertation used in b ook s, papers, and other w orks must be appropriately referenced to this Dissertation. Finally, the author o f this D issertation reserves the right to publish freely, in the literature, at any tim e, any or all portions o f this Dissertation.
EFFECT OF PERINATAL CAPTOPRIL TREATMENT ON RENAL FUNCTION OF YOUNG ADULT , CONSCIOUS RATS : EXACERBATION DUE TO DISCONTINUATION OF TREATMENT

Sanya Roysommuti , Taksanee Mahasiripanth, Dusit Jirakulsomchok, Supaporn Muchimapura, Terdthai Tong-un, and J Michael Wyss Department of Physiology, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand, Department of Cell Biology, School of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294-0019, USA, and Faculty of Nursing, Mahasarakarm University, Mahasarakarm, Thailand