Miracle-dz/UniFAR-FTUs huggingface dataset:
Mining Patterns in Numerical Data with Formal Concept Analysis

The thesis of Mehdi Kaytoue addressed the important problem of mining patterns in numerical data, also known as quantitative itemset problem. Usually, numerical data are turned into binary data from which well known itemsets and association rules are extracted. Extracting those patterns is a first step for knowledge discovery processes. Nevertheless, transforming the data faces a trade-off: it comes either with loss of information, or hard computational properties of the resulting binary data. The proposed approach is defined within a well known and mathematically defined framework: formal concept analysis. It allows the mining of numerical patterns (without binarization) in several fields such as lattice-based classification, knowledge discovery in databases and information fusion. Thanks to strong theoretical basis, these works have opened a wide range of perspectives. The goal of this proposal is to investigate three promising perspectives related respectively to (i) bi-clustering, (ii) supervised classification and (iii) data anonymisation. These three directions of work are in perfect match with the research themes “knowledge discovery in databases”, “parallel systems” and “web data managment” of the project InWeb in which Pr. Meira and his fellows are involved. This proposal is accordingly a great opportunity for bringing a new point of view on numerical data-mining in the project InWeb, while benefiting in the expertise of its members. Indeed, the work of Mehdi Kaytoue urgently needs distributed computing and scalable algorithms for efficiently handling large volume of data that the project InWeb study.
Increasing recoverable energy storage in electroceramic capacitors using “dead-layer” engineering

The manner in which ultrathin films of alumina, deposited at the dielectric-electrode interface, affect the recoverable energy density associated with (BiFeO3)0.6–(SrTiO3)0.4 (BFST) thin film capacitors has been characterised. Approximately 6 nm of alumina on 400 nm of BFST increases the maximum recoverable energy of the system by around 30% from ∼13 Jcc−1 to ∼17 Jcc−1. Essentially, the alumina acts in the same way as a naturally present parasitic “dead-layer,” distorting the polarisation-field response such that the ultimate polarisation associated with the BFST is pushed to higher values of electric field. The work acts as a proof-of-principle to illustrate how the design of artificial interfacial dielectric “dead-layers” can increase energy densities in simple dielectric capacitors, allowing them to compete more generally with other energy storage technologies.
Zakażenie HCV — epidemiologia, wyzwania diagnostyczne i szanse stworzone przez nowe terapie

Przewlekle zakazenie wirusem zapalenia wątroby typu C (HCV) jest problemem zdrowotnym o zasiegu globalnym, dotyczy bowiem 80−160 mln ludzi na świecie i jest wiodącą przyczyną przewleklych chorob wątroby. W Polsce czestośc wystepowania przeciwcial anty- -HCV w populacji ogolnej szacuje sie na 1,9%, a w populacji osob powyzej 65. roku zycia na 2,9%. Celem leczenia przeciwwirusowego jest osiągniecie trwalej odpowiedzi wirusologicznej, odpowiadającej eradykacji wirusa z organizmu. W ostatnich latach dokonaly sie rewolucyjne zmiany w metodach leczenia zakazenia HCV. Nowe leki o bezpośrednim dzialaniu na wirusa są stosowane drogą doustną, wykazują przeciwwirusowe dzialanie wobec wszystkich genotypow HCV i osiągają ponad 90-procentową skutecznośc w eradykacji wirusa. Ponadto nowe terapie są stosowane krocej (8−12 tygodni) i powodują znacznie mniej dzialan niepoządanych w porownaniu z terapiami opartymi na interferonie. Jedyną wadą nowych lekow jest ich wysoka cena, co determinuje potrzebe selekcjonowania chorych i ustalania priorytetow leczenia wedlug strategii określonych przez rozne instytucje panstwowe i mających wsparcie w zaleceniach towarzystw naukowych. Najpilniejsze jest leczenie pacjentow z zaawansowanym wloknieniem i marskością wątroby z powodu duzego ryzyka wystąpienia u tych chorych dekompensacji funkcji wątroby i raka wątrobowokomorkowego. Na uwage zaslugują takze mniej restrykcyjne strategie leczenia, ktore moglyby zmniejszyc śmiertelnośc, chorobowośc wątrobową oraz konsekwencje pozawątrobowe zakazenia HCV, a takze związane z nimi obciązenia ekonomiczne. W szerszej perspektywie populacyjna eradykacja zakazen HCV bedzie wymagala inwestycji ze strony panstwa z przeznaczeniem środkow na badania przesiewowe za pomocą prostych testow diagnostycznych, dzialania prewencyjne oraz nowe nieinterferonowe terapie.
Coronary artery disease Theimpactofsusceptibility loci forcoronaryartery disease on other vascular domains and recurrence risk

CLINICAL RESEARCH Coronary artery disease
Validation of a computer model to predict laser induced thermal injury thresholds of the retina

We present a computer model for predicting the median dose (ED50) that produces an ophthamoscopically detectable lesion in the retina. It consists of an optical model (beam propagation through the eye), a reflectance model (absorption distribution within the retinal tissues), a thermal model (solving the heat equation) and a damage model (based on the Arrhenius equation). The model was validated with 253 experimental ED50s that cover the entire thermal regime in both macular and paramacular regions encompassing wavelengths between 413 nm and 1338 nm, pulse durations between 100 μs and 3000 s and retinal spot sizes ranging from minimum to 2 mm. These ED50s are matched with a mean ratio of 0.93 and a standard deviation of 31 %. The largest ratio between model prediction and experimental data was 1.7. The applicability for using the model results for risk analysis for human exposure is discussed.We present a computer model for predicting the median dose (ED50) that produces an ophthamoscopically detectable lesion in the retina. It consists of an optical model (beam propagation through the eye), a reflectance model (absorption distribution within the retinal tissues), a thermal model (solving the heat equation) and a damage model (based on the Arrhenius equation). The model was validated with 253 experimental ED50s that cover the entire thermal regime in both macular and paramacular regions encompassing wavelengths between 413 nm and 1338 nm, pulse durations between 100 μs and 3000 s and retinal spot sizes ranging from minimum to 2 mm. These ED50s are matched with a mean ratio of 0.93 and a standard deviation of 31 %. The largest ratio between model prediction and experimental data was 1.7. The applicability for using the model results for risk analysis for human exposure is discussed.
Construction of pIRES2 vector encoding truncated NS3 of HCV and IL-18 for DNA vaccine studies

Introduction: Long term complications of hepatitis C virus (HCV) infection include fibrosis, cirrhosis, and hepatocellular carcinoma and although the disease is treatable with the newly introduced direct acting antivirals, but factors such as drug resistance, viral genotype and adverse effects can limit the effectiveness of therapy. Therefore, development of effective, safe and affordable prophylactic and therapeutic vaccines is a global goal. This study was undertaken for construction of a vector containing the coding region for a truncated form of nonstructural protein 3 (NS3) of HCV and IL-18 cytokine gene fused to murine Fcy2a as molecular adjuvant for assessment as a DNA vaccine candidate. Methods: A truncated form of NS3 was amplified and cloned in pIRES2 containing IL-18 hybrid gene. Expression of the truncated NS3 and bioactivity of IL-18 fusion protein were assessed in transfected HEK293 T cells. Physicochemical properties determination, secondary structure, 3D modeling and T-cell epitope predictions were made using various online tools. Results: In silico analysis of truncated NS3 predicted a molecular weight of 32.35 kDa containing epitopic regions with the highest scores for binding to MHC complex. 3D model of IL-18 showed that fusion with murine Fc had not impaired the structure. HEK293 T cells were successfully transfected with pIRES-IL18NS3 construct and expression of truncated NS3 with an apparent molecular weight of approximately 32 kDa was confirmed by Western blotting. Conclusion: Despite the advantages, widespread use of DNA vaccination has been hampered by low immunogenicity. Truncated NS3 was expressed albeit in low amount with bioactive IL-18 fusion proteinas a molecular adjuvant Immunogenicity assessment of this novel combination as a DNA vaccine candidate is underway.
Rotor Model Updating and Validation for an Active Magnetic Bearing Based High-Speed Machining Spindle

This paper presents an experimentally driven model updating approach to address the dynamic inaccuracy of the nominal finite element (FE) rotor model of a machining spindle supported on active magnetic bearings. Modeling error is minimized through the application of a numerical optimization algorithm to adjust appropriately selected FE model parameters. Minimizing the error of both resonance and antiresonance frequencies simultaneously accounts for rotor natural frequencies as well as for their mode shapes. Antiresonance frequencies, which are shown to heavily influence the model’s dynamic properties, are commonly disregarded in structural modeling. Evaluation of the updated rotor model is performed through comparison of transfer functions measured at the cutting tool plane, which are independent of the experimental transfer function data used in model updating procedures. Final model validation is carried out with successful implementation of robust controller, which substantiates the effectiveness of the model updating methodology for model correction.
Molecular identification and nutrient analysis of the green tide species Ulva ohnoi M. Hiraoka & S. Shimada, 2004 (Ulvophyceae, Chlorophyta), a new report and likely nonnative species in the Gulf of Mexico and Atlantic Florida, USA

Species level identifications of morphologically simple marine algae have undoubtedly caused biodiversity assessments to be an arduous task. The green algal genus Ulva L. , 1753, is notorious for morphological plasticity and cryptic speciation. We used two chloroplast-encoded (rbcL and tufA) molecular markers and the nuclear internal transcribed spacer 1 (ITS1) of the ribosomal cistron to detect Ulva ohnoi M. Hiraoka and S. Shimada, 2004, a species known for forming green tides in Japan, as a new record for the Western Atlantic, including the Gulf of Mexico (GoMX) and Atlantic coast of Florida. All rbcL sequences from this investigation were identical to reports for U. ohnoi. The Western Atlantic isolates showed relatively low genetic diversity in tufA and ITS1 sequences, which suggests that this species is not native to the GoMX and Atlantic Florida. Furthermore, we have identified U. ohnoi as the species that formed an ephemeral, localized overgrowth during July of 2013 in Biscayne Bay, Florida, an area with a persistent bloom of two other green algal species, Anadyomene stellata J. V. Lamouroux, 1812, and Anadyomene sp. , due to eutrophication from anthropogenic nutrient loading near canals. A tissue nutrient analysis of samples from this overgrowth of Ulva showed that this species has a high affinity for nitrogen, especially ∂15N, which suggests anthropogenic sources of N. Further investigations are needed to assess the geographical ranges of this species in this region as well as the potential invasiveness of this alga in the Western Atlantic. It is highly recommended to monitor the abundance of this species in response to nutrient discharges in Biscayne Bay.
Control Laws Design and Validation of Autonomous Mobile Robot Off-Road Trajectory Tracking Based on ADAMS and MATLAB Co-Simulation Platform

Autonomous automobile technology is a rapidly developing field, with interest in both academia and industry. Outdoor navigation of autonomous vehicles, especially for roughterrain driving, has already been a new research focus. DARPA Grand Challenge and LAGR program stand for the top development level in this research region. Rough-terrain driving research offers a challenge that the in-vehicle control system must be able to handle rough and curvy roads, and quickly varying terrain types, such as gravel, loose sand, and mud puddles – while stably tracking trajectories between closely spaced hazards. The vehicle must be able to recover from large disturbances, without intervention (Gabriel, 2007). Since robotics autonomous navigation tasks in outdoor environment can be effectively performed by skid-steering vehicles, these vehicles are being widely used in military affairs, academia research, space exploration, and so on. In reference (Luca, 1999), a model-based nonlinear controller is designed, following the dynamic feedback linearization paradigm. In reference (J.T. Economou, 2000), the authors applied experimental results to enable Fuzzy Logic modelling of the vehicle-ground interactions in an integrated manner. These results illustrate the complexity of systematic modeling the ground conditions and the necessity of using two variables in identifying the surface properties. In reference (Edward, 2001), the authors described relevant rover safety and health issues and presents an approach to maintaining vehicle safety in a navigational context. Fuzzy logic approaches to reasoning about safe attitude and traction management are presented. In reference (D. Lhomme-Desages, 2006), the authors introduced a modelbased control for fast autonomous mobile robots on soft soils. This control strategy takes into account slip and skid effects to extend the mobility over planar, granular soils. Different from above researches, which control the robots on the tarmac, grass, sand, gravel or soil, this chapter focuses on the motion control for skid-steering vehicles on the bumpy and rocklike terrain, and presents novel and effective trajectory tracking control methods, including the longitudinal, lateral, and sensors pan-tilt control law. Furthermore, based on ADAMS&MATLAB co-simulation platform, iRobot ATRV2 is
Analysis of Factors Affecting Rice Consumption in Cross River State , Nigeria

This study was conducted to evaluate the factors affecting rice consumption in Cross River State of Nigeria. Two hundred and forty (240) rice consumers were randomly selected from twelve (12) purposively selected Local Government Areas in Cross River State. Data were collected using questionnaire. It was discovered that the socio-economic variables that affect rice consumers in the study area were age, marital status, household size, religion and educational level. It was also found that the average monthly income of a respondent, average amount spent on rice per day by one household and the average quantity of rice consumed per meal per household were N32,154.00, N1,378.00 and 2kg respectively. The results showed that the coefficients of the four explanatory variables selected for the study met the a priori theoretical expectations. The variables included rice consumers disposable income (X1t), occupational status of the consumers (D1t), joint effect of income and occupational status (D1tX1t), brand of rice (D2t), price of rice (X2t) and the joint effect of rice brand and own price (D2tX2t). The results showed that disposable income variable had a magnitude of 0.352 and was positive, brand had a magnitude of 0.378 and was equally positive, price had a negative magnitude of –0.121, occupational status variable had a positive magnitude of 0.372, while the joint effects of income and occupational status and rice brand and own price were 0.243 and 0.131 respectively. The implication of the results is that any one unit change in income, occupational status of the rice consumers, brand and price in the study area will result in an increase of 0.352, 0.372, 0.134 and -0.121 units respectively. The negative sign of the coefficient of price of rice is in consonance with the theoretical expectation. In order words, price naturally has an inverse relationship with consumption expenditure, where any increase in income results in less of the commodity consumed. It is therefore recommended that Governments should provide employment opportunities for the people in order to enhance their income levels, as well as make policies that would encourage local rice production, in order to meet the demand and make rice available to consumers at affordable price in the study area. Also farmers should be encouraged to produce more of the brand of rice available in the area.
Quantitative Transduction of Excited‐State Energy inFluorophore‐Heterofullerene Conjugates

A novel series of fluorophore-heterofullerene conjugates 10–14 — the fluorophores range from benzene, naphthalene, phenanthrene, and fluorene to pyrene — was synthesized. NMR spectroscopy and quantum mechanical calculations demonstrate that the flexibility of the acetyl-group linker opens the way for conformations with π–π stacking interactions between the chromophores. This leads to favorable electronic communication between the two subsystems and is reflected in a series of ground- and excited-state assays ranging from fluorescence to fast transient absorption measurements. It was found that a common deactivation process of the photoexcited fluorophores takes place, namely, a quanti-tative transduction of singlet excited state, yielding the hetero-fullerene singlet excited state. This reaction pathway leads to the long-lived and highly reactive fullerene triplet state, which forms, in a reaction with molecular oxygen, a cytotoxic oxygen species (i.e. singlet oxygen). (© Wiley-VCH Verlag GmbH & Co. KGaA, 69451 Weinheim, Germany, 2005)
1 Regional Temporal and Spatial Trends in Drought 2 and Flood Disasters in China and Assessment of 3 Economic Losses in Recent Years 4

Understanding the distribution in drought and floods plays an important role in disaster 12 risk management. The present study aims to explore the trends in the standardized precipitation 13 index and extreme precipitation days in China, as well as to estimate the economic losses they cause. 14 We found that in the Northeast China, northern of North China and northeast of Northwest China 15 were severely affected by drought disasters (average damaged areas were 6.44 million hectares) and 16 the most severe drought trend was located in West China. However, in the north of East China and 17 Central China, the northeastern of the Southwest China was severely affected by flood disasters 18 (average damaged areas were 3.97 million hectares) and the extreme precipitation trend is 19 increasing in the northeastern of the Southwest China. In the Yangtze River basin, there were 20 increasing trends in terms of drought and extreme precipitation, especially in the northeastern of 21 the Southwest China, where accompanied by severe disaster losses. By combining the trends in 22 drought and extreme precipitation days with the distribution of damaged areas, we found that the 23 increasing trend in droughts shifted gradually from north to south, especially in the Southwest 24 China, and the increasing trend in extreme precipitation gradually shifted from south to north. 25
Disturbance of eelgrass Zostera marina by commercial mussel Mytilus edulis harvesting in Maine: dragging impacts and habitat recovery

We studied the effects of commercial harvest of blue mussels Mytilus edulis on eelgrass Zostera marina L. in Maquoit Bay, Maine, USA, at a hierarchy of scales. We used aerial photography, underwater video, and eelgrass population- and shoot-based measurements to quantify dragging impacts within 4 sites that had been disturbed at different times over an approximate 7 yr interval, and to project eelgrass meadow recovery rates. Dragging had disturbed 10% of the eelgrass cover in Maquoit Bay, with dragged sites ranging from 3.4 to 31.8 ha in size. Dragging removed above- and be- lowground plant material from the majority of the bottom in the disturbed sites. One year following dragging, eelgrass shoot density, shoot height and total biomass of disturbed sites averaged respec- tively 2 to 3%, 46 to 61% and <1% that of the reference sites. Substantial differences in eelgrass bio- mass persisted between disturbed and reference sites up to 7 yr after dragging. Dragging did not affect physical characteristics of the sediment. The pattern and rate of eelgrass bed recovery depended strongly on initial dragging intensity; areas of relatively light dragging with many remnant eelgrass patches (i.e. patches that were missed by the mussel dredge) showed considerable revegetation in 1y r. However, by developing recovery trajectories from measurements at sites disturbed in different years, we projected that it would require a mean of 10.6 yr for recovery of eelgrass shoot density within the areas of intense dragging characterizing most of the disturbed sites. A spatial simulation model based on measured rates of lateral patch-expansion (mean 12.5 cm yr -1 ) and new-patch recruitment (mean 0.19 patches m -2 yr -1 ) yielded a mean bed recovery time of 9 to 11 yr following dragging, de- pending on initial degree of plant removal. Model simulations suggested that with favorable environ- mental conditions, eelgrass beds might recover from dragging disturbance in 6 yr; conversely, recov- ery under conditions less conducive to eelgrass growth could require 20 yr or longer. This study shows that mussel dragging poses a severe threat to eelgrass in this region and that regulations to protect eel- grass from dragging impacts would maintain the integrity of a substantial amount of habitat.
Small- Versus Big-Data Factor Extraction in Dynamic Factor Models: An Empirical Assessment

In the context of Dynamic Factor Models (DFM), we compare point and interval estimates of the underlying unobserved factors extracted using small and big-data procedures. Our paper differs from previous works in the related literature in several ways. First, we focus on factor extraction rather than on prediction of a given variable in the system. Second, the comparisons are carried out by implementing the procedures considered to the same data. Third, we are interested not only on point estimates but also on confidence intervals for the factors. Based on a simulated system and the macroeconomic data set popularized by Stock and Watson (2012), we show that, for a given procedure, factor estimates based on different cross-sectional dimensions are highly correlated. On the other hand, given the cross-sectional dimension, the Maximum Likelihood Kalman filter and smoother (KFS) factor estimates are highly correlated with those obtained using hybrid Principal Components (PC) and KFS procedures. The PC estimates are somehow less correlated. Finally, the PC intervals based on asymptotic approximations are unrealistically tiny.