Miracle-dz/UniFAR-FTUs huggingface dataset:
Knowledge Fusion and Synchronization over Ubiquitous Ontology Mapping

With the rapid development and popularization of web services, the available information types and structure are becoming more and more complex and challenging. Actually web services involve the need for dynamic integration and transparent knowledge integration, in light of the urgent information changing track. Under this situation, the traditional search engine and information integration cannot finish this challenge, thereby bringing the opportunity for knowledge fusion and synchronization. This paper proposes a multi-matching strategy ontology mapping method for web information, i.e., ubiquitous ontology mapping method (U-Mapping), which can be viewed as a base collection of information on multiple ontologies made to appear anytime and everywhere. This approach is usually built independently by different information providers, avoiding the grammatical and semantic conflict. Finally, the ontology case information can be utilized under the consolidation of the U-Mapping, concerning language technology and machine learning methods.
Salivary expression of soluble HER2 in breast cancer patients with positive and negative HER2 status

Background The aim of this study was to investigate the relationship between salivary concentration of the soluble fragment of the HER2 (human epidermal growth factor receptor) protein and its status in mammary tissues. Methods This case-control study was done in 27 breast cancer patients with no visible metastatic disease treated at the gynecology service, Maternity Souissi Hospital, Rabat, Morocco. Two groups were selected, ie, patients with positive and negative HER2 status in mammary tissue. The salivary HER2 protein concentration was assessed by enzyme-linked immunosorbent assay. The salivary HER2 concentration was compared between the HER2-positive and HER2-negative groups using the Mann-Whitney U test. A P-value <0.05 was considered to be statistically significant. Results No statistically significant difference in salivary HER2 protein expression was found between the case and control groups. There was also no significant difference in clinical characteristics according to positive and negative HER2 status (P>0.05), except for the progesterone hormone receptor which was statistically significant in both the case and control groups (P=0.047). Conclusion According to our data, salivary expression of the HER2 receptor may not be a reliable alternative to tissue assessment.
Topic models for conference session assignment: Organising PR AS A 2014(5)

Conference scheduling and organisation is a particularly laborious task and can be extremely time consuming. While many online conference platforms allow manual topic selection, these can be expensive and typically still require that individual papers be scanned and labelled appropriately before being assigned to reviewers and relevant conference tracks or sessions. This paper shows how the bulk of this process can be automated using topic models. Latent Dirichlet allocation is applied to learn conference topics directly from documents, and a clustering algorithm introduced to separate these into suitably sized conference sessions, determining an appropriate session topic in the process. Conference tracks can then be scheduled by maximising the distance between these session topics, thereby avoiding potential topic conflicts in parallel tracks.
The Red-Sequence Cluster Survey. I. The Survey and Cluster Catalogs for Patches RCS 0926+37 and RCS 1327+29

The Red-Sequence Cluster Survey (RCS) is a ~100 deg2, two-filter imaging survey in the RC and z′ filters, designed primarily to locate and characterize galaxy clusters to redshifts as high as z = 1.4. This paper provides a detailed description of the survey strategy and execution, including a thorough discussion of the photometric and astrometric calibration of the survey data. The data are shown to be calibrated to a typical photometric uncertainty of 0.03-0.05 mag, with total astrometric uncertainties less than 0. ″25 for most objects. We also provide a detailed discussion of the adaptation of a previously described cluster search algorithm (the cluster red-sequence method) to the vagaries of real survey data, with particular attention to techniques for accounting for subtle variations in survey depths caused by changes in seeing and sky brightness and transparency. A first catalog of RCS clusters is also presented, for the survey patches RCS 0926+37 and RCS 1327+29. These catalogs, representing about 10% of the total survey and comprising a total of 429 candidate clusters and groups, contain a total of 67 cluster candidates at a photometric redshift of 0.9 < z < 1.4, down to the chosen significance threshold of 3.29 σ.
MICROSTRUCTURE AND MECHANICAL PROPERTIES OF POROUS Ti-6Al-4V COMPOSITES WITH BIOCERAMICS FABRICATED BY SPARK PLASMA SINTERING

Substantial progress in the field of materials used for medicine has be observed in recent years, driven by the higher demand for these types of materials. Promising prospects are offered by composite materials that allow for unlimited modelling of the properties in materials used for specific medical applications. The focus of the investigations presented in this paper is placed on metallic-ceramic composites based on a titanium alloy matrix (Ti-6Al-4V) with a 20 wt. % addition of aluminium oxide (Al2O3), hydroxyapatite ceramics (Ca10(PO4)6(OH)2) and YSZ (zirconia stabilized with 8 wt.% yttria Y2O3) obtained using the spark plasma sintering method. The specimens were compressed at 35 MPa and sintered in a shielding gas (argon) medium at the temperature of 1000°C in an SPS HP 5 apparatus manufactured by FCT for 25 min. The obtained composites were subjected to microstructural analysis using an Axiovert light microscope and X-ray quality analysis using a D8 DISCOVER Bruker diffractometer. Hydrostatic weighing in deionized water according to the PN EN ISO 2738: 2001 standard was also used to evaluate the density (apparent and relative), porosity (open and total) and water absorption capacity. The topology of the surface of the metallic-ceramic composites was determined using a Hommel T1000 profilometer. The mechanical properties (microhardness) were measured using a semi-automatic microhardness tester (FM-7, FutureTech) with a Vickers indenter at a load of 100 G. The resistance to wear was evaluated by means of a ball wear testing stand. In this study, Ti6Al4V/HAp(ZrO2, Al2O3) composites were prepared using spark plasma sintering (SPS) to obtain highly compact composites. The aim of the study was to evaluate the ability of spark plasma sintering to obtain metallic-ceramic composites based on titanium alloy with an addition of inert ceramics and bioactive ceramics for medical applications.
A new alien limpet for the Mediterranean : Lottia sp . ( Patello-gastropoda Lottiidae )

Some living specimens of a new limpet were found between January and August 2015 in the intertidal of the eastern coast of Sicily (Jonian Sea, Mediterranean). The study of the shell morphology and anatomical soft parts of these specimens has revealed fundamental differences compared with the native, mostly Patellidae, species. Further observations of the morphology of the radula led to the provisional identification of the newly introduced limpet as a Lottiidae, tentatively a Lottia sp. A more precise species identification was not achieved, and will need to await ongoing DNA sequencing and further comparative studies. The new record of an introduced species for the Mediterranean is the first limpet so recognized, and the species appears to be represented by a range of sizes, implying that is well established along the intertidal Sicilian rocky-shores and is successfully recruiting in this region.
Quasi-continuous higher-order sliding mode controller designs for spacecraft attitude tracking manoeuvres

This paper studies high-order sliding mode control laws to deal with some spacecraft attitude tracking problems. Second and third order quasi-continuous sliding control are applied to quaternion-based spacecraft attitude tracking manoeuvres. A class of linear sliding manifolds is selected as a function of angular velocities and quaternion errors. The second method of Lyapunov theory is used to show that tracking is achieved globally. An example of multiaxial attitude tracking manoeuvres is presented and simulation results are included to verify and compare the usefulness of the various controllers.
FearNot ! developing social immersion in the VICTEC and ECIRCUS projects

This paper will discuss work carried out during the VICTEC (Virtual ICT with Empathic Characters) and ECIRCUS (Education through Characters with emotionalIntelligence and Role-playing Capabilities that Understand Social interaction) projects, and on the FearNot! immersive virtual learning environment (VLE). The design motivations of the FearNot ! application will be discussed and subsequent experimental evaluations to investigate children’s empathic engagement with the FearNot! immersive environment will be described.
A Rule-Based Recommendation for Personalization in Social Networks

All online social networks gather data that reflects users' profiles, interactive behaviors and shared activities. This data can be used to extract users' interests and make recommendations. According to abundant personal data, recommenders can identify information relevant for individuals. To reveal users' different preferences explicitly, we present a rule-based method which supports different recommendation strategies. Moreover, we also show that this method is effective by conducting experiments on real data.
QUANTUM AFFINE SYMMETRY IN VERTEX MODELS

We study the higher spin analogs of the six-vertex model on the basis of its symmetry under the quantum affine algebra . Using the method developed recently for the XXZ spin chain, we formulate the space of states, transfer matrix, vacuum, creation/ annihilation operators of particles, and local operators, purely in the language of representation theory. We find that, regardless of the level of the representation involved, the particles have spin 1/2, and that the n-particle space has an RSOS type structure rather than a simple tensor product of the one-particle space. This agrees with the picture proposed earlier by Reshetikhin.
A Computational Tool for Quantitative Analysis of Vascular Networks

Angiogenesis is the generation of mature vascular networks from pre-existing vessels. Angiogenesis is crucial during the organism' development, for wound healing and for the female reproductive cycle. Several murine experimental systems are well suited for studying developmental and pathological angiogenesis. They include the embryonic hindbrain, the post-natal retina and allantois explants. In these systems vascular networks are visualised by appropriate staining procedures followed by microscopical analysis. Nevertheless, quantitative assessment of angiogenesis is hampered by the lack of readily available, standardized metrics and software analysis tools. Non-automated protocols are being used widely and they are, in general, time - and labour intensive, prone to human error and do not permit computation of complex spatial metrics. We have developed a light-weight, user friendly software, AngioTool, which allows for quick, hands-off and reproducible quantification of vascular networks in microscopic images. AngioTool computes several morphological and spatial parameters including the area covered by a vascular network, the number of vessels, vessel length, vascular density and lacunarity. In addition, AngioTool calculates the so-called “branching index” (branch points / unit area), providing a measurement of the sprouting activity of a specimen of interest. We have validated AngioTool using images of embryonic murine hindbrains, post-natal retinas and allantois explants. AngioTool is open source and can be downloaded free of charge.
Analyzing dialogue data for real-world emotional speech classification

In order to obtain an understanding of the user’s emotion in human-machine dialogues, an analysis of dialogical utterances in the real world was performed. This work comprises three major steps. (1) The actual conditions of 16 basic emotions were evaluated using Japanese child voices, which were collected through the field test of the public spoken dialogue system. (2) Two factors were derived by a factor analysis. The factors were defined as fundamental psychological factors representing “delightful” and “hateable” emotions. (3) The relationships between the factors and the physical acoustic features were investigated to establish a capability to sense a user’s mental state for the dialogue system. In the experimental discriminations between the delightful and hateable emotions, a correct rate of 98.8% was achieved in classifying child’s utterances by the SVM (Support Vector Machine) with 11 acoustic features. Index Terms: emotional speech, classification, factor analysis, dialogue system, real world
Adaptive Forwarding Delay Control for VANET Data Aggregation

In-network data aggregation is a useful technique to reduce redundant data and to improve communication efficiency. Traditional data aggregation schemes for wireless sensor networks usually rely on a fixed routing structure to ensure data can be aggregated at certain sensor nodes. However, they cannot be applied in highly mobile vehicular environments. In this paper, we propose an adaptive forwarding delay control scheme, namely Catch-Up, which dynamically changes the forwarding speed of nearby reports so that they have a better chance to meet each other and be aggregated together. The Catch-Up scheme is designed based on a distributed learning algorithm. Each vehicle learns from local observations and chooses a delay based on learning results. The simulation results demonstrate that our scheme can efficiently reduce the number of redundant reports and achieve a good trade-off between delay and communication overhead.
Experiences from the use of Unmanned Aerial Vehicles ( UAV ) for River Bathymetry Modelling in Norway

Sammendrag Erfaringer med bruk av ubemannede fly (UAV) for bunntopografimodellering i Norge. Kunnskap om undervannsmorfologi er essensielt, hvis man vil bruke hydrodynamiske modeller for å undersøke habitatforhold eller konsekvenser av vannkraftreguleringer i elver. Tradisjonelle manu elle eller båtbaserte bunntopografioppmålinger er tidskrevende og noen ganger farlig eller umulig på grunn av store strømhastigheter. Fjernmålings metoder basert på flyfoto fra lav høyde kan være et alternativ. Denne artikkelen beskriver en pilotstudie hvor vi testet et ubemannet fly (UAV) for bunntopografimodellering basert på flyfoto i Surna. Optisk bunntopografimodellering bygger på sammenheng mellom vanndybder og luminansverdier i et flyfoto. Lyzengas (1981) dypvannskorreksjonsmetode ble brukt i kombinasjon med en kalibrering for lavvann. Modellen krever oppmåling av noen vanndybder i felt for kalibrering. Metoden ble brukt for to cirka en kilometer lange elvestrekninger. Flyfotoene ble tatt med en Microdrone som fløy 70 til 135 m over bakken. Studien viste at optiske bunntopografimålingsmetoder basert på UAV har et stort potensial, hvis datainnsamlingen blir godt forberedt og finner sted under passende værforhold.
Inflation targeting and optimal monetary policy

Since the early 1990s, an increasing number of countries have adopted explicit inflation targets as the defining principle that should guide the conduct of monetary policy. This development is often credited with having brought about substantial reductions in both the level and variability of inflation in the inflation-targeting countries, and is sometimes argued to have improved the stability of the real economy as well. 1 Inflation-forecast targeting, as a systematic decision procedure for the conduct of monetary policy, was developed at central banks like the Reserve Bank of New Zealand, the Bank of Canada, the Bank of England, and the Bank of Sweden on a trial-and-error basis, with little guidance from the academic literature on monetary policy rules. But the growing popularity of inflation targeting has more recently led to an active literature that seeks to assess the desirability of such an approach from the standpoint of theoretical monetary economics. This literature finds that an optimal policy regime—one that could have been designed on a priori grounds to achieve the highest possible degree of social welfare—might well be implemented through procedures that share important features of the inflation-forecast targeting that is currently practiced at central banks like those just mentioned. At the same time, the normative literature finds that one ought, in principle, to be able to do better through appropriate refinement of the practices developed at these banks. Here I survey some of the most important conclusions of this literature. I shall begin by reviewing some of the respects in which inflation targeting as
Clinical outcomes of fractional flow reserve by computed tomographic angiography-guided diagnostic strategies vs. usual care in patients with suspected coronary artery disease: the prospective longitudinal trial of FFRCT: outcome and resource impacts study

Aims In symptomatic patients with suspected coronary artery disease (CAD), computed tomographic angiography (CTA) improves patient selection for invasive coronary angiography (ICA) compared with functional testing. The impact of measuring fractional flow reserve by CTA (FFRCT) is unknown. Methods and results At 11 sites, 584 patients with new onset chest pain were prospectively assigned to receive either usual testing (n = 287) or CTA/FFRCT (n = 297). Test interpretation and care decisions were made by the clinical care team. The primary endpoint was the percentage of those with planned ICA in whom no significant obstructive CAD (no stenosis ≥50% by core laboratory quantitative analysis or invasive FFR < 0.80) was found at ICA within 90 days. Secondary endpoints including death, myocardial infarction, and unplanned revascularization were independently and blindly adjudicated. Subjects averaged 61 ± 11 years of age, 40% were female, and the mean pre-test probability of obstructive CAD was 49 ± 17%. Among those with intended ICA (FFRCT-guided = 193; usual care = 187), no obstructive CAD was found at ICA in 24 (12%) in the CTA/FFRCT arm and 137 (73%) in the usual care arm (risk difference 61%, 95% confidence interval 53–69, P< 0.0001), with similar mean cumulative radiation exposure (9.9 vs. 9.4 mSv, P = 0.20). Invasive coronary angiography was cancelled in 61% after receiving CTA/FFRCT results. Among those with intended non-invasive testing, the rates of finding no obstructive CAD at ICA were 13% (CTA/FFRCT) and 6% (usual care; P = 0.95). Clinical event rates within 90 days were low in usual care and CTA/FFRCT arms. Conclusions Computed tomographic angiography/fractional flow reserve by CTA was a feasible and safe alternative to ICA and was associated with a significantly lower rate of invasive angiography showing no obstructive CAD.
Concept, Implementation and Evaluation of a Web-Based Software Cockpit

Software cockpits (software project control centers) provide systematic support for monitoring and controlling the activities in a software development project. Important aspects are to track progress, to visualize team performance, and to provide feedback about the quality of delivered results. Therefore, software cockpits integrate and visualize data from various data sources such as project plans, requirement management, version control, as well as test results. Each of these data sources represents a different perspective on the software project. The integrated view provided by a software cockpit produces a complete and persistent picture of the project status. This paper describes the architecture and functionality of a Web-based software cockpit and its implementation with open source software from the Business Intelligence area. Furthermore, the results and lessons learned from evaluating the practical benefits of the software cockpit in context of a large software development organization are presented.
Neutrinos from spin dynamics

We conjecture that neutrino physics might correspond to the spontaneous magnetisation phase of an Ising-like spin model interaction coupled to neutrino chirality which operates at scales close to the Planck mass. We argue that this scenario leads to a simple extension of the Standard Model with no additional parameters that dynamically generates parity violation and spontaneous symmetry breaking for the gauge bosons which couple to the neutrino. The neutrino mass in the model ~ (the electroweak scale)^2 / 2M where M is the scale of the ``spin-spin'' interaction. For the ground state of the model the free energy density corresponding to the cosmological constant is ~ the neutrino mass, consistent with observation.
Layout and Language: lists and tables in technical documents

In this paper, we describe some of the interactions between layout and language we have been dealing with in recent applied NLP projects. We present two complementary views of lists and tables, intended to bridge the gap between considering them as a type of running text (which linguistics knows how to deal with) and as a multi-dimensional relation represented in two dimensions, which may have many reading-paths (which linguistics doesn't know how to deal with). Stated or inferred linguistic and world knowledge in the text surrounding tables and lists provides a context for the interpretation of a set of tuples extracted from tables or lists together with heuristics about how multi-dimensional information is projected on to two dimensions.
A neural network approach for nonlinear modelling of LDMOSFETs

In this paper an artificial neural network approach for nonlinear modelling of a 10-W LDMOSFET is presented. The model extraction is based on DC and scattering parameter measurements. In particular, artificial neural networks are used to model the dependence of both DC drain current and intrinsic capacitances with respect to the intrinsic gate and drain voltages. The model validation is successfully achieved by comparing the simulation results with time-domain nonlinear measurements.
Radiation-Induced Heart Diseases: Protective Effects of Natural Products

Cardiovascular diseases (CVDs) account for the majority of deaths worldwide. Radiation-induced heart diseases (RIHD) is one of the side effects following exposure to ionizing radiation (IR). Exposure could be from various forms such as diagnostic imaging, radiotherapy for cancer treatment, as well as nuclear disasters and nuclear accidents. RIHD is mostly observed after radiotherapy for thoracic malignancies, especially left breast cancer. RIHD may affect the supply of blood to heart muscles, leading to an increase in the risk of heart attacks to irradiated persons. Due to its dose-limiting consequence, RIHD has a negative effect on the therapeutic efficacy of radiotherapy. Several methods have been proposed for protection against RIHD. In this paper, we review the use of natural products, which have shown promising results for protection against RIHD.