Miracle-dz/UniFAR-FTUs huggingface dataset:
An ensemble based decision support framework for intelligent heart disease diagnosis

Large amount of medical data leads to the need of intelligent data mining tools in order to extract useful knowledge. Researchers have been using several statistical analysis and data mining techniques to improve the disease diagnosis accuracy in medical healthcare. Heart disease is considered as the leading cause of deaths worldwide over the past 10 years. Several researchers have introduced different data mining techniques for heart disease diagnosis. Using a single data mining technique shows an acceptable level of accuracy for disease diagnosis. Recently, more research is carried out towards hybrid models which show tremendous improvement in heart disease diagnosis accuracy. The objective of the proposed research is to predict the heart disease in a patient more accurately. The proposed framework uses majority vote based novel classifier ensemble to combine different data mining classifiers. UCI heart disease dataset is used for results and evaluation. Analysis of the results shows that the sensitivity, specificity and accuracy of the ensemble framework are higher as compared to the individual techniques. We obtained 82% accuracy, 74% sensitivity and 93% specificity for heart disease dataset.
SYSTRAN’s Chinese Word Segmentation

SYSTRAN's Chinese word segmentation is one important component of its Chinese-English machine translation system. The Chinese word segmentation module uses a rule-based approach, based on a large dictionary and fine-grained linguistic rules. It works on general-purpose texts from different Chinese-speaking regions, with comparable performance. SYSTRAN participated in the four open tracks in the First International Chinese Word Segmentation Bakeoff. This paper gives a general description of the segmentation module, as well as the results and analysis of its performance in the Bakeoff.
An Improved Weight-Based Clustering Algorithm in MANETs

Many applications of mobile ad hoc networks (MANETs) adopt hierarchical structure for the scalability and simplify of management. Clustering is the most popular method to impose a hierarchical structure in MANETs. As a newly- proposed weighing-based clustering algorithm, the weighted clustering algorithm (WCA) has improved performance compared with other previous clustering algorithms. But the high mobility of nodes will lead to high frequency of reaffiliations which will increase the network overhead. To solve this problem, we propose an improved weight-based clustering algorithm (IWCA) which can enhance the stability of the network by taking the relative mobility of node and its neighbors into consideration. Simulation study indicates that the proposed algorithm (IWCA) has improved performance with respect to the original WCA.
STAR: articulation training for young children

The Speech Training, Assessment, and Remediation (STAR) system is intended to assist Speech and Language Pathologists in treating children with articulation problems. The system is embedded in an interactive video game that is set in a spaceship and involves teaching aliens to “understand” selected words by spoken example. The sequence of events leads children through a series of successively more difficult speech production tasks, beginning with CV syllables and progressing to words/phrases. Word selection is further tailored to emphasize the contrastive nature of phonemes by the use of minimal pairs (e.g., run/won) in production sets. To assess children’s speech, a discrete hidden Markov model recognition engine is used[1]. Phone models were trained on the CMU Kids database[2]. Performance of the HMM recognizer was compared to perceptual ratings of speech recorded from children who substitute /w/ for /r/. The difference in log likelihood between /r/ and /w/ models correlates well with perceptual ratings of utterances containing substitution errors, but very poorly for correctly articulated examples. The poor correlation between perceptual and machine ratings for correctly articulated utterances may be due to very restricted variance in the perceptual data for those utterances.
The Caenorhabditis elegans PcG-like Gene sop-2 Regulates the Temporal and Sexual Specificities of Cell Fates

How spatial, temporal, and sexual specific cues are integrated to specify distinct cell fates during multicellular organism development is largely unknown. Here we demonstrate that the Caenorhabditis elegans PcG-like gene sop-2 determines the temporal and sexual specificities of a row of hypodermal seam cells, in addition to specifying their positional identities. Loss-of-function of sop-2 causes premature expression of adult fates at larval stages. sop-2 acts upstream of lin-29 in the heterochronic pathway and genetically interacts with other heterochronic genes in specifying the temporal fates of seam cells at different larval stages. We show that the number of ALG-1-containing P bodies is increased in seam cells in sop-2 mutants. Furthermore, the microRNA-mediated repression of a heterochronic gene reporter is enhanced in sop-2 mutants. Mutations in sop-2 also cause partial hermaphrodite-to-male sexual transformations. The homeotic transformations, heterochronic defects, and sexual transformations can occur concomitantly in sop-2 mutants. In summary, our studies reveal that sop-2 integrates spatial, temporal, and sexual cues during C. elegans development.
Querying XML documents by using association rules

In the last years XML is becoming a standardized means for representing semistructured data, i.e. data having a structure which is not regular and fixed in advance. In this context, documents may have "similar" content but different structure and thus in this work we propose an approximate way to query XML data by means of association rules.
Towards Adaptive Event Detection Techniques for the Twitter Social Media Data Stream

Social media data streams are an invaluable source for timely and up-to-date information about current events. As a consequence, several event detection techniques have been proposed in the literature in order to tap this information source. However, most of these proposals focus on the information extraction aspect of the problem and tend to ignore the streaming nature of the input. The work conducted in our research group therefore intends to address these stream-related challenges, such as detecting events incrementally, reporting them in (near) real-time, and coping with ﬂuctuations and spikes in the social media data stream. In this article, we report on the results that we obtained so far and outline our research agenda for the remainder of this work
Hardware Description Language Design of Σ-Δ Fractional-N Phase-Locked Loop for Wireless Applications

� Abstract—This paper discusses a systematic design of a ¶-' fractional-N Phase-Locked Loop based on HDL behavioral modeling. The proposed design consists in describing the mixed behavior of this PLL architecture starting from the specifications of each building block. The HDL models of critical PLL blocks have been described in VHDL-AMS to predict the different specifications of the PLL. The effect of different noise sources has been efficiently introduced to study the PLL system performances. The obtained results are compared with transistor-level simulations to validate the effectiveness of the proposed models for wireless applications in the frequency range around 2.45 GHz.
The Exploration of Migratory Grief, Social Factors and Resolutions

This thesis explores the losses and grief associated with migration. My research questions revolve around three themes: migratory grief, its functions and expressions, its influencing factors, and its resolutions. I have applied autoethnography as method of inquiry, which includes reflecting on my own experiences and comparing it with the literature. In my narrative, I will share my experience as an immigrant from China in Canada and reflect on my experience with the invisible yet powerful pain of migration. The existing research and studies will guide me and the reader to understand this underrepresented experience that is shared by many immigrants. This single case study has the potential to enrich and expand current studies as well as evoke emotional reactions in readers. Through this study, I hope to increase the public’s understanding of migratory grief and promoting connections in today’s world where migration is a global trend. This thesis also has relevance to the counselling field, as migration grief is closely related to immigrants’ well-being and I will discuss its therapeutic implications for counsellors. MIGRATORY GRIEF, SOCIAL FACTORS AND RESOLUTIONS 3
Translating Literary Text between Related Languages using SMT

We explore the feasibility of applying machine translation (MT) to the translation of literary texts. To that end, we measure the translatability of literary texts by analysing parallel corpora and measuring the degree of freedom of the translations and the narrowness of the domain. We then explore the use of domain adaptation to translate a novel between two related languages, Spanish and Catalan. This is the first time that specific MT systems are built to translate novels. Our best system outperforms a strong baseline by 4.61 absolute points (9.38% relative) in terms of BLEU and is corroborated by other automatic evaluation metrics. We provide evidence that MT can be useful to assist with the translation of novels between closely-related languages, namely (i) the translations produced by our best system are equal to the ones produced by a professional human translator in almost 20% of cases with an additional 10% requiring at most 5 character edits, and (ii) a complementary human evaluation shows that over 60% of the translations are perceived to be of the same (or even higher) quality by native speakers.
Fault-Tolerant Planning under Uncertainty

A fault represents some erroneous operation of a system that could result from an action selection error or some abnormal condition. We formally define error models that characterize the likelihood of various faults and consider the problem of fault-tolerant planning, which optimizes performance given an error model. We show that factoring the possibility of errors significantly degrades the performance of stochastic planning algorithms such as LAO*, because the number of reachable states grows dramatically. We introduce an approach to plan for a bounded number of faults and analyze its theoretical properties. When combined with a continual planning paradigm, the k-fault-tolerant planning method can produce near-optimal performance, even when the number of faults exceeds the bound. Empirical results in two challenging domains confirm the effectiveness of the approach in handling different types of runtime errors.
Baryon magnetic moments in the QCD string approach

Magnetic moments of baryons composed of light and strange quarks are computed for the first time through the only parameter of the model\char22{}the string tension $\ensuremath{\sigma}. $ For example, ${\ensuremath{\mu}}_{p}{=m}_{p}/c\sqrt{\ensuremath{\sigma}},{\ensuremath{\mu}}_{{\ensuremath{\Omega}}^{\ensuremath{-}}}=\ensuremath{-}{\ensuremath{\mu}}_{p}[1+\frac{3}{4}{(m}_{s}^{2}{/c}^{2}\ensuremath{\sigma})\ensuremath{-}\frac{15}{32}{(m}_{s}^{4}{/c}^{4}{\ensuremath{\sigma}}^{2}){]}^{\ensuremath{-}1},$ where ${m}_{p}$ is the proton mass, ${m}_{s}$ is the strange quark current mass, and $c=0.957,$ a constant which is caluculated in the paper. Resulting theoretical values differ from the experimental ones typically by about 10%.
Matching NLO QCD Corrections in WHIZARD with the POWHEG scheme

Building on the new automatic subtraction of NLO amplitudes in WHIZARD, we present our implementation of the POWHEG scheme to match radiative corrections consistently with the parton shower. We apply this general framework to two linear collider processes, $e^+e^-\,\to\,t\bar{t}$ and $e^+e^-\,\to\,t\bar{t}H$.
Research Issues in Social Computing *

Social Computing and online communities have ushered in a new era of the web, where information and communication technologies are facilitating organized human endeavor in fundamentally new ways. The broad impact of social computing in diverse domains and the complexity of features that span diverse disciplines pose new challenges for Information Systems researchers. Information Systems research should expand its scope and adapt theories and methodologies from even more disciplines to address this challenge. This phenomenon has diverse theoretical connections and bridges social and technical aspects. Thusit offers an ideal opportunity for IS researchers to take the lead in demonstrating the focus of IS in crossdisciplinary research and emphasizing praxis. We outline salient traits of social computing as a precursor to discussing research challenges. Research issues related to organization theory, property rights, motivational and social aspects, and network dynamics are discussed. We emphasize aspects where social computing may offer insights for reference disciplines. We also discuss research issues in the business deployment of social computing, including network effects, trust and reputation, business models, market structure, and customer interaction. We indicate thatthe field of IS can point the way to using social computing in transforming research and education.
Hierarchical Statistical Semantic Realization for Minimal Recursion Semantics

We introduce a robust statistical approach to realization from Minimal Recursion Semantics representations. The approach treats realization as a translation problem, transforming the Dependency MRS graph representation to a surface string. Translation is based on a Synchronous Context-Free Grammar that is automatically extracted from a large corpus of parsed sentences. We have evaluated the new approach on the Wikiwoods corpus, where it shows promising results. 1
Opto-Electric Cellular Biosensor Using Optically Transparent Indium Tin Oxide (ITO) Electrodes

Indium tin oxide (ITO) biosensors are used to perform simultaneous optical and electrical measurements in order to examine the dynamic cellular attachment, spreading, and proliferation of endothelial cells (ECs) as well as cytotoxic effects when exposed to cytochalasin D. A detailed description of the fabrication of these sensors is provided and their superior optical characteristics are qualitatively shown using four different microscopic images. Differential interference contrast microscopy (DICM) images were acquired simultaneously with micro-impedance measurements as a function of frequency and time. A digital image processing algorithm quantified the cell-covered electrode area as a function of time. In addition, cytotoxicity effects, produced by the toxic agent cytochalasin D, were examined using micro-impedance measurements, confocal microscopy images of stained actin-filaments, and interference reflection contrast microscopy (IRCM) capable of examining the bottom morphology of a cell. The results of this study show (1) the dynamic optical and electrical cellular characteristics using optically thin ITO biosensors; (2) qualitative agreement between cell-covered electrode area and electrical impedance during cellular attachment; (3) in vitro cytotoxicity detection of ECs due to 3 μM cytochalasin D. The present opto-electric biosensor system is unique in that a simultaneous and integrated cellular analysis is possible for a variety of living cells.
The reconstruction of resilience as a social and collective phenomenon: poverty and coping capacity during the economic crisis

ABSTRACT Resilience has recently acquired an unusual degree of strength in social research. The article discusses the theoretical and historical background of resilience in the literature in terms of its individual and collective dimensions and argues that, contrary to individualistic conceptions, resilience should be considered a social process linked to social context. It then considers sociological approaches that help to reframe its conceptualisation based on the analysis of data from central Spain within the framework of the RESCuE project, which puts resilience into place in the context of the present economic crisis. Through the analysis of rural and urban case studies the research identifies the importance of the availability of individual and group resources when it comes to the development of resilient strategies in difficult circumstances. Equally, integration into community networks facilitates greater diversity in resilient strategies that can contribute to the recovery and survival of households.
MULTI-IMAGE SHAPE-FROM-SHADING : DERIVATION OF PLANETARY DIGITAL TERRAIN MODELS USING CLEMENTINE IMAGES

In many cases, the derivation of high-resolution digital terrain models (DTMs) from planetary surfaces using only conventional digital image matching is a problem. The matching methods need at least a stereo pair of images covering an area with sufficient texture. Often though, space missions provide only a few stereo images and planetary surfaces often possess insufficient texture. This paper describes a method for the generation of high-resolution DTMs from planetary surfaces using digital optical images developed by the authors over a number of years. The suggested method, termed “multi-image shape-from-shading” (MI-SFS), is able to generate a planetary DTM with an arbitrary number of images of low texture. Therefore, MI-SFS is a suitable method in areas, in which image matching fails to yield a DTM. The paper contains a short review of the theory of MI-SFS, followed by a presentation of results, which were obtained with images from NASA’s lunar mission Clementine. These results constitute the first practical application of MI-SFS using extraterrestrial imagery. The reconstruction of the lunar surface is made with the assumption of different kinds of reflectance models (LommelSeeliger and Lambert model). The represented work shows that the derivation of a high-resolution DTM of real digital planetary images by means of MI-SFS is feasible.
Integrated Lca-Tool for Ecological Design

To meet the requirements of building owners and users in environmental issues, life cycle assessment (LCA) has become an important method to monitor the ecological perspective during design and decision making processes. Existing LCA tools are separately available, but are missing the important links to other design tools, such as architectural, technical system design and energy simulation softwares. This paper presents a new integrated tool BSLCA for ecological design and analysis of building services. The tool utilises standard methods of exchanging design information with other software tools based on the Industry Foundation Classes (IFC). INTRODUCTION To meet the requirements of building owners and users in environmental issues, life cycle assessment has become an important method to monitor the ecological perspective during design and decision making processes. During the design process it is necessary to compare different technical solutions and their ecological and financial properties during the life cycle of the building. From the building owners’ point of view the assessment reports should be uniform, easy to read and comparable from project to project. A systematic evaluation of environmental impacts means, that the results of LCA calculations should be clear and transparent and also the inventory and evaluation methods in use should be commonly accepted. Existing LCA tools are separately available, but are missing the important links to other design tools, such as architectural, technical system design and energy simulation softwares. The major constraint on the everyday use of powerful calculation tools at different stages of the building design process has been time consuming manual data input, especially related to the building geometry data. However, the continuing development of the Industry Foundation Classes IFC-standard by the International Alliance for Interoperability (IAI) creates new possibilities for achieving interoperability for design software through the use of a common object model of the building and its open data transfer standard. Several architectural CAD tools are already IFC compliant. However, software development experience has shown that an in-depth knowledge of the highly complex IFC object model is required to develop IFC compliant software. To make this work easier for developers not familiar with the IFC, a new so called middleware tool, BSPro COM-Server for IFC Files, was developed. Using this tool, a software developer of new or existing tools can achieve IFC compatibility with a quite reasonable amount of work. LCA-TOOL STRUCTURE AND LINKS This paper presents a new integrated tool BSLCA for ecological design and analysis of building and technical systems that has been developed by Olof Granlund Oy. This tool is a database solution with a Windows interface and it handles environmental impacts of the building envelope and the building services systems such as HVAC and electrical systems. Figure 1. The information in BSLCA is stored in a systematic hierarchy format. Seventh International IBPSA Conference Rio de Janeiro, Brazil August 13-15, 2001
Abnormal Nerve Conduction Study Findings Indicating the Existence of Peripheral Neuropathy in Multiple Sclerosis and Neuromyelitis Optica

Objective. Chronic inflammatory demyelinating polyneuropathy (CIDP) has been reported in patients with multiple sclerosis (MS). However, there have been limited reports of peripheral neuropathy as a complication of neuromyelitis optica (NMO). In this paper, we showed the characteristics and differences between peripheral neuropathy as a complication of MS and NMO. Method. We analyzed a series of 58 MS and 28 NMO patients and evaluated nerve conduction studies (NCS) in 21 MS and 5 NMO patients. Results. Six of the 58 MS and 3 of the 28 NMO patients revealed abnormal NCS findings. Three (5.2%) of the 58 MS patients fulfilled the criteria for CIDP. One (3.6%) of the 28 NMO patients showed peripheral neuropathy at the same time of NMO relapse, although CIDP was not seen in NMO. The other 5 (3 MS and 2 NMO) patients were complicated with neuropathy caused by concomitant diabetes mellitus and Sjögren's syndrome. Conclusion. Frequency of abnormal NCS findings might exhibit no significant difference between MS and NMO, although the cause and pathophysiology of peripheral neuropathy were different in MS and in NMO. There might be a group of NMO who were affected simultaneously in the central and peripheral nervous tissues.
Spectral Efficiency Improvement in IEEE 802.11n MIMO-OFDM WLAN Communication Systems using Compact Space-Multimode Diversity Stacked Circular Microstrip Patch Antenna Arrays

The support of high spectral efficiency MIMO spatial-multiplexing communication in OFDM-WLAN systems conforming to IEEE 802.11n standard requires the design and use of compact antennas and arrays with low correlation ports. For this purpose, compact space- multimode diversity provisioning stacked circular multimode microstrip patch antenna arrays (SCP-ULA) are proposed in this paper and their performance in terms of spatial and modal correlations, ergodic spectral efficiencies as well as compactness with respect to antenna arrays formed of vertically-oriented center-fed dipole elements (DP-ULA) and dominant-mode operating circular microstrip patch antennas (CP-ULA) are presented. The lower spatial and modal correlations and the consequent higher spectral efficiency of SCP- ULA with ML detection over statistically-clustered Kroenecker-based correlated Rayleigh fading channels with respect to DP-ULA and CP-ULA at significantly lower antenna and array sizes represents SCP-ULA as a promising solution for deployment in terminals, modems and access points of next-generation high-speed 802.11n MIMO-OFDM WLAN systems.