Miracle-dz/UniFAR-FTUs huggingface dataset:
Share the ontology in XML-based trading architectures

First bring semantic order to the world of XML. Recent e-commerce application activity involving the extensible markup language (XML) has led to a proliferation of XML-based standards and markup language proposals. Among them are several designed to support site-to-site Web automation that lean naturally toward the agent paradigm of distributed computation. Although XML represents a major step forward in e-commerce technology, business-to-business trading partners should also recognize XML's limitations. XML is not a cure-all for system interoperability, but a widely accepted foundation layer on which to build. Moreover, there are differing views on how to extend or complement XML to support agent-based e-commerce (see Glushko et al.'s " An XML Framework for Agent-based E-commerce " in this issue). This challenge is further complicated by debate over some fundamental questions: How should XML be extended to support the representation of business information? Should XML be enriched with tags reflecting higher-level concepts, especially business domains, such as standard business processes? How should foundation ontologies (from which higher-level content is composed) be defined? How can the numerous heterogeneous e-commerce frameworks (such as ICE, OBI, OTP, and XML/EDI) be unified to enable the expected low-friction market of the future? And will the future electronic marketplace be dominated by a series of commerce islands with trading groups isolated by the proprietary protocols and domain models with which their commerce agents interact? Answers involve not only solving the related technology and intellectual challenges, but how to bring together the various communities of industrial standards developers. Each holds the essential elements of the overall solution. These communities, including EDI, Internet, knowledge engineering, and SGML, bring to the table subtly differing angles on the problem, including representation approaches associated with rich documents, publish/subscribe protocols, transactions, content syndi-cation, and business semantics. To survive in this market, e-commerce component providers will have to support a number of different content formats and transaction frameworks, translating among them to achieve significant penetration. It appears that the main barrier to e-commerce lies in the need for applications to share information , not in the Internet's reliability and security. Due to the wide range of enterprise and e-commerce systems being deployed by businesses and the way these systems are variously configured, the problem is particularly acute among large electronic trading groups. E-commerce will increasingly focus on trans-enterprise communication, while the number of trading partners and sophistication of e-commerce applications also increase. The need to …
Incidence, Determinants, and Prognostic Implications of True Pleomorphism of Ventricular Tachycardia in Patients With Implantable Cardioverter-Defribillators: A Substudy of the DATAS Trial

Background—The occurrence of monomorphic ventricular tachycardia (M-VT) with >1 QRS morphology during the same episode (pleomorphism [PL]) or in different episodes (multiple morphologies [MM]) has been described through ECG. Implantable cardioverter-defribillator (ICD) electrograms (EGs) provide the opportunity to analyze virtually all spontaneous M-VT episodes. We sought to study the incidence, determinants, and prognostic significance of PL and MM as assessed by ICD-EG in a prospective series of patients with ICDs. Methods and Results—Spontaneous episodes of M-VT were analyzed before ICD intervention. PL was defined as >1 ICD-EG morphology, each having ≥6 consecutive identical beats during the same VT episode, and MM as >1 ICD-EG morphology in different M-VT episodes in the same patient. We analyzed 1881 M-VT episodes from 315 patients followed for 17 months. PL and MM occurred in 6% and 19%, respectively, of the total population (16% and 62% of patients with M-VT). Recurrent M-VT as diagnosis for ICD indication predicted PL and MM. Patients with PL more frequently developed MM (85% versus 15%; P<0.001) compared to patients without PL. Total mortality (5%) was significantly higher in patients with PL (20%), in patients with MM (11.5%), and in women (12%). In multivariate analysis, only PL (odds ratio, 5.33; P=0.009) and female sex (odds ratio, 3.1; P=0.038) predicted mortality. Conclusions—In a prospective series of patients with ICDs, mostly indicated for secondary prevention, both PL and MM of VT, as judged by ICD-EG, were not uncommon and were strongly associated. Female sex and the development of PL VT were the only independent predictors of mortality.
Detection and Identification of Multiple Stationary Human Targets Via Bio-Radar Based on the Cross-Correlation Method

Ultra-wideband (UWB) radar has been widely used for detecting human physiological signals (respiration, movement, etc.) in the fields of rescue, security, and medicine owing to its high penetrability and range resolution. In these applications, especially in rescue after disaster (earthquake, collapse, mine accident, etc.), the presence, number, and location of the trapped victims to be detected and rescued are the key issues of concern. Ample research has been done on the first issue, whereas the identification and localization of multi-targets remains a challenge. False positive and negative identification results are two common problems associated with the detection of multiple stationary human targets. This is mainly because the energy of the signal reflected from the target close to the receiving antenna is considerably stronger than those of the targets at further range, often leading to missing or false recognition if the identification method is based on the energy of the respiratory signal. Therefore, a novel method based on cross-correlation is proposed in this paper that is based on the relativity and periodicity of the signals, rather than on the energy. The validity of this method is confirmed through experiments using different scenarios; the results indicate a discernible improvement in the detection precision and identification of the multiple stationary targets.
Medical image retrieval system using GGRE framework

This paper seeks to focus on Medical Image Retrieval based on Feature extraction, Classification and Similarity Measurements which will aid for computer assisted diagnosis. The selected features are Shape(Generic Fourier Descriptor (GFD)and Texture(Gabor Filter(GF)) that are extracted and classified as positive and negative features using a classification technique called Relevance Vector Machine (RVM) that provides a natural way to classify multiple features of images. The similarity model is used to measure the relevance between the query image and the target images based on Euclidean Distance(ED). This type of Medical Image Retrieval System framework is called GGRE. The retrieval algorithm performances are evaluated in terms of precision and recall. The results show that the multiple feature classifier system yields good retrieval performance than the retrieval systems based on the individual features.
Reliability study of high-pin-count flip-chip BGA

A family of 1.0-mm pitch full-array flip-chip BGAs were developed. These packages vary from 27 to 45 mm in package size, 15 to 25 mm in die size, and 672 to 1020 in ball count. With dies and packages so large, solder joint fatigue failure and underfill delamination, induced by thermal expansion mismatch, are a major concern. Finite element analysis was set up for efficient reliability analysis. Two substrates, hi-CTE ceramic (12/spl times/10/sup -6///spl deg/C) and BT (17/spl times/10/sup -6///spl deg/C), are compared. Hi-CTE ceramic substrate has a better CTE match with die (2.6/spl times/10/sup -6///spl deg/C), therefore, it was surmised that hi-CTE ceramic would improve component-level reliability yet with satisfactory board-level reliability. To validate it, several die and package combinations were modeled using both substrates. Both component-level stresses and board-level solder joint fatigue life were compared. In addition, design of experiment (DOE) was used to study the effect of properties and dimensions of underfill and heat spreader on solder joint fatigue life. The effect of pad opening size was also quantified. Finally, the effect of underfill on interface stress between underfill and die was investigated.
Evolution of Robust Developmental Neural Networks

We present the first evolved solutions to a computational task within the Neuronal Organism Evolution model (Norgev) of artificial neural network development. These networks display a remarkable robustness to external noise sources, and can regrow to functionality when severely damaged. In this framework, we evolved a doubling of network functionality (double-NAND circuit). The network structure of these evolved solutions does not follow the logic of human coding, and instead more resembles the decentralized dendritic connection pattern of more biological networks such as the C. ele gans brain.
Direct Detection of Sub-stellar Companions with MIDI

Current detection methods of planetary companions do not allow retrieving their spectral information properties. The method of Differential Interferometry has the potential to complement such information by comparing interferometric observables in various spectral channels. We outline the basic aspects of this method and how it can soon be realised by the Mid-infrared Interferometric instrument (MIDI) at the Very Large Telescope Interferometer (VLTI) observatory. A set of possible candidates for such direct observation has been selected among currently identified planetary companions. Differential Interferometry with MIDI would be complementary to other ground-based programs. The method may also be an alternative for future space-based planetary spectroscopy.
Parallel and Distributed Access of Dense Multidimensional Extendible Array Files ( Extended Abstract )

Datasets in large scale scientific data management, are often modeled as k-dimensional arrays. Elements of these arrays, when kept in files on secondary storage (or disk), are allocated in a sequence of consecutive locations according to either a row-major or column-major ordering of an array mapping function. The allocation of an array in a file can be perceived as an out-of-core image of the in-core linear storage allocation. Such storage allocations limit the degree of extendibility of the arrays, both in core and out-of-core, to one dimension only. We address the problem of allocating storage for the elements of dense multidimensional extendible arrays so that the index range of any dimension can be arbitrarily extended without reorganizing previously allocated elements. The array can be partitioned, distributed and maintained as sub-arrays in the memories of the respective computational nodes of a parallel or distributed program. We present a mapping function F∗() and its inverse F ∗ (), for computing the linear address of an array element when given its k-dimensional index. Such a function is realized with the help of a Leaf-Linked Red-Black Tree (LLRB-Tree) data structure that stores, in a compact manner, the history of the expansions of the dimensions. Access to the LLRB-Tree forms part of the address computation and is maintained as part of the metadata of the corresponding array file. Parallel and distributed accesses of the multidimensional array elements are achieved by maintaining consistent copies of the LLRB-Tree on each processor. The technique introduced applies to extendible arrays in main memory just as much as for extendible array files that are resident on disk.
Die Abbildung des Sprachproduktionsprozesses in einem Aktivationsflußmodell

The empirical basis of Berg’s research consists of over 6000 speech errors and slips of the tongue. Therefore the author legitimately states that this is the largest German corpus to be collected since hleringer and hlayer (1895). With respect to the number of speech errors it contains, it is comparable, for example, t o the hllT speech error corpus (Garrett, 1975; Shattuck-Hufnagel, 1979, 1983). Berg himself adduces n o reason why it is important to have separate up-to-date corpora for every language. Actually, he is not primarily interested in differences between languages, assuming rather that the speech errors observed in different languages are “in principle” comparable to one another (p. 15). Consequently, throughout his book he uses examples from different languages for illustrative purposes. But independently of Berg’s own scientific interests, it would be valuable to make the corpus available to further research. In the book under review, Berg does not present the corpus itself, but, as the title already suggests, a systematic analysis of his speech error data and a generally critical evaluation of current theories of speech production in the light of his speech error corpus. His book concludes with a theory of speech production of his own which according to his analysis is compatible with his speech error data. This book is far from providing easy-to-read introductory information about speech production theories and the field of speech error research. Rather, Berg presupposes that his readers are already familiar with the main results of this research and makes only sketchy references to them. Hence, the book is addressed mainly to researchers who are working in this field. For this group of readers, Berg presents interesting, new, often stimulating, and sometimes unorthodox views on previously published data and theories. Berg assumes that every speech error is the joint result of several cognitive determinants which he assumes to have been simultaneously active during the course of speech production. In his opinion, parallel models of information processing are best adapted to account for the multiple causation of every observable slip. I n order to be able to evaluate Berg’s own theoretical and empirical results, it is necessary to look more closely at his methodology. He dubs this method “motivational analysis” (n~~tivatioizsanalyse); it essentially consists of (a) the construction of hypo-
Body Image Formation Hypotheses Based On Corona Discharge: Discussion

The present paper proposes two possible hypotheses of the body image formation of the Turin Shroud (TS) based on corona discharge (CD). An impression mechanism based on CD proves to be the most credible one after verifying that some characteristics of the TS image are not in full agreement with the hypothesis of a simple burst of light proposed by K. Moran and G. Fanti in 2002. Theoretical and experimental results relative to plasma in the air are presented and discussed on the basis of a comparison with data relative to the TS both at macroscopic and microscopic levels. Even if the environmental hypotheses relative to CD can be refined, the experimental results obtained show no appreciable chemical-physical differences from the image features of the TS.
Scheduling for multiple flows sharing a time-varying channel: the exponential rule

We consider the following queueing system which arises as a model of a wireless link shared by multiple users. Multiple ows must be served by a \channel" (server). The channel capacity (service rate) changes in time randomly and asynchronously with respect to di erent ows. In each time slot, a scheduling discipline (rule) picks a ow for service based on the current state of the channel and the queues. We study a scheduling rule, which we call the exponential rule, and prove that this rule is throughput-optimal, i.e., it makes the queues stable if there exists any rule which can do so. In the proof we use the uid limit technique, along with a separation of time scales argument. Namely, the proof of the desired property of a \conventional" uid limit involves a study of a di erent uid limit arising on a \ ner" time scale. In our companion paper [12] it is demonstrated that the exponential rule can be used to provide Quality of Service guarantees over a shared wireless link.
A quantitative assessment of primary and secondary immune responses in cattle using a B cell ELISPOT assay

The aim of the study was to build a comprehensive picture of the appearance in the blood stream of Ag-specific plasma cells and memory B cells in the bovine model. For this purpose, we have developed a method allowing the detection and quantification of both cell types within individual calves immunised with ovalbumin. During the primary response, we detected a burst of ovalbumin-specific plasma cells at days 6 and 7 post-immunisation, which was followed by the production of specific Ab, whereas a gradual increase of memory B cells was only detected from day 15. As expected, a boost immunisation performed 7 weeks later induced a quicker and stronger secondary response. Indeed, a burst of plasma cells was detected in the blood at days 3 and 4, which was followed by a strong increase in Ab titres. Furthermore, a burst of memory B cells, and not a gradual increase, was detected at days 5 and 6 post-boost immunisation. Importantly, we showed a strong correlation between the anti-ovalbumin-specific IgG titres detected 5 months after secondary immunisation and the plasma cell numbers detected in the blood at the peak response after secondary immunisation. The detection and quantification of plasma cells following an immunisation/vaccination strategy could constitute a very effective means for predicting the magnitude and longevity of an Ab response.
A Systematic Comparison of Music Similarity Adaptation Approaches

In order to support individual user perspectives and different retrieval tasks, music similarity can no longer be considered as a static element of Music Information Retrieval (MIR) systems. Various approaches have been proposed recently that allow dynamic adaptation of music similarity measures. This paper provides a systematic comparison of algorithms for metric learning and higher-level facet distance weighting on the MagnaTagATune dataset. A crossvalidation variant taking into account clip availability is presented. Applied on user generated similarity data, its effect on adaptation performance is analyzed. Special attention is paid to the amount of training data necessary for making similarity predictions on unknown data, the number of model parameters and the amount of information available about the music itself.
Seeing is Believing: the Optic Nerve from Anatomy to Pathology

Poster: "ECR 2018 / C-0112 / Seeing is Believing: the Optic Nerve from Anatomy to Pathology" by: "M. Dorigatti Soldatelli, B. da Silveira Arruda, T. M. B. Da Conceicao, N. Henz Concatto, D. A. Eifer, L. Goncalves Campos, F. A. Leiria, J. Adams Perez, J. Avila Duarte; Porto Alegre/BR"
Audio enhanced 3D interfaces for visually impaired users

Three dimensional computer applications such as CAD packages are often difficult to use because of inadequate depth feedback to the user. It has, however, been shown that audio feedback can help improve a user's sense of depth perception. This paper describes an experiment which evaluates the use of three different audio environments in a 3D task undertakeh by visually impaired users. The three audio environments map tonal, musical, and orchestral sounds to an (x, y, z) position in a 3D environment. In each environment the user's task is to locate a target in three dimensions as accurately and quickly as possible. This experiment has three important results: that audio feedback improves performance in 3D applications for all users; that visually impaired users can use 3D applications with the accuracy of sighted users; and that visually impaired users can attain greater target accuracy than sighted users in a sound-only environment.
A Recurrent Cellular Schwannoma

Cellular schwannoma is an uncommon variant of schwannomas that can occur in a peripheral nerve. Although cellular schwannomas typically do not differ in prognosis from regular schwannomas, they are known to cause local recurrence when not completely resected. Here, we report the case of a patient with cellular schwannoma of the posterior mediastinum, which recurred after 13 years.
A Model-Based Approach for Crawling Rich Internet Applications

New Web technologies, like AJAX, result in more responsive and interactive Web applications, sometimes called Rich Internet Applications (RIAs). Crawling techniques developed for traditional Web applications are not sufficient for crawling RIAs. The inability to crawl RIAs is a problem that needs to be addressed for at least making RIAs searchable and testable. We present a new methodology, called “model-based crawling”, that can be used as a basis to design efficient crawling strategies for RIAs. We illustrate model-based crawling with a sample strategy, called the “hypercube strategy”. The performances of our model-based crawling strategies are compared against existing standard crawling strategies, including breadth-first, depth-first, and a greedy strategy. Experimental results show that our model-based crawling approach is significantly more efficient than these standard strategies.
A rechargeable framework for improving throughput in wireless sensor network

Energy efficiency in WSN is a tricky problem. Charging sensor networks using wireless technology has become an effective way of improving throughput in the network as the sensor nodes are battery powered. In this paper we are proposing a framework which improves the efficiency of the network using electrical vehicles known as Sencars. The sensor nodes get charged based on optimal energy conditions. An experimental and simulated result has shown the efficiency of network in terms of throughput, packet delivery fraction and other metrics of importance.
Kitchen concerns at the boundary between markets and consumption: agencing practice change in times of scarcity (Husmodern, Sweden 1938–1958)

ABSTRACT This paper investigates practice dynamics in kitchens situated at the boundary between markets and consumption. The kitchen is conceptualized as a market-consumption junction, a space where multiple concerned actors in markets and consumption come to shape, and get shaped by, the practices in the kitchen. Drawing upon archival research of the Swedish household magazine Husmodern (1938–1958), this study traces two matters of concern in and around the kitchen: the scarcity of resources in food markets and the scarcity of time to prepare food for consumption. Findings reveal how thrifty and convenient practices became enacted, and their transformative implications for consumption, demand, and market action. The mechanisms involved in disrupting and reconnecting the dynamic elements of practices (meaning, competence, and objects) are explained through the notions of concerning, agencing, and overflows, which recursively work to redraw the boundaries between markets and consumption to establish novel practices.
Visualizing Individual Nitrogen Dopants in Monolayer Graphene

Nitrogen atoms that replace carbon atoms in the graphene lattice strongly modify the local electronic structure. In monolayer graphene, substitutional doping during growth can be used to alter its electronic properties. We used scanning tunneling microscopy, Raman spectroscopy, x-ray spectroscopy, and first principles calculations to characterize individual nitrogen dopants in monolayer graphene grown on a copper substrate. Individual nitrogen atoms were incorporated as graphitic dopants, and a fraction of the extra electron on each nitrogen atom was delocalized into the graphene lattice. The electronic structure of nitrogen-doped graphene was strongly modified only within a few lattice spacings of the site of the nitrogen dopant. These findings show that chemical doping is a promising route to achieving high-quality graphene films with a large carrier concentration.