Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhanced amplification of hepatitis C virus (HCV) cDNA by PCR: detection of HCV RNA in archival sera

A reverse transcription-PCR assay which successfully amplified hepatitis C virus RNA from poorly stored archival sera was optimized. Maximum sensitivity was achieved with Moloney murine leukemia virus RNase H- reverse transcriptase and by a single round of PCR amplification of a short (112-bp) fragment of the 5' untranslated region of the viral genome.
Assessment of Mineral Status

Calcium is the fifth most abundant element in the human body, with adults containing 1,000 to 1,200 g (1). More than 99% is found in the skeleton, associated with phosphorus, mostly in the form of poorly crystallized hydroxyapatite; Mg, Na , CO~, and citrate" are also found in this crystalline phase. Bone is a dynamic tissue that undergoes constant turnover, and it is an essential component of Ca homeostasis. The Ca ion is involved in many other vital functions in the body, including blood coagulation, neuromuscular excitability, muscular contraction, cellular secretion processes, enzyme activation, and cell adhesion (2-5). The essential nature of many of these Ca functions, particularly those related to the nervous system, requires extremely tight control of Ca ion concentrations in extracellular fluids. An intricate mechanism controlling plasma Ca concentrations has evolved and includes the hormones parathyrin (parathyroid hormone), metabolites of vitamin D (mainly 1,25-dihydroxycholecalciferol), and calcitonin. They act independently or in concert to regulate intestinal uptake, renal reabsorption, and transfer of calcium out of and into the vast skeletal reservoir. Intracellular Ca concentration is also tightly controlled at a much lower concentration, around 10~ to 10~ mol/liter (5). Calcium in blood is found almost exclusively in the plasma, in diffusable and nondiffusable forms. The latter is bound to protein, mostly albumin; the former, often called ultrafiltrable Ca, is mainly ionized Ca, with some Ca complexed to bicarbonate, citrate, and phosphate. Typical values for Ca distribution in plasma are 43% to 46% protein bound; 45% to 47.5% ionic,
Modeling and Simulation of Thermal Annealing of Implanted GaN and SiC ausgeführt am

While silicon-based power devices are approaching their limits regarding fundamental material properties, the interest in wide-bandgap semiconductors is growing. However, the most promising alternatives, such as gallium nitride (GaN) and silicon carbide (SiC), cause several challenges in the fabrication process. Whereas the SiC technology is almost in a mature state, GaN requires further research. A processing step of utmost importance for power devices is ion implantation, which has to be followed by an annealing step in order to achieve sufficient electrical activation efficiency. This thesis addresses the challenges of GaN technology and compares them to the situation of SiC technology. In particular, the physical mechanism during the thermal annealing and the influence of process parameters (e.g., temperature and annealing time) on the electrical activation efficiency are investigated. Semi-empirical models are derived from experimental data in order to simulate GaN and SiC power device structures with closely coupled process and device simulations. The proposed semi-empirical models are confirmed to accurately describe the electrical activation state of aluminum-, boron-, nitrogen-, and phosphorus-implanted SiC. A model extension allows to predict the steady-state activation state of silicon-implanted GaN. The models are employed within an elaborate simulation study on state-of-the-art 4H-SiC double-implanted metal oxide semiconductor field effect transistors (DMOSFETs) and GaN junction barrier Schottky (JBS) rectifiers. In particular, increasing the annealing temperature by 100◦C is found to result in a threshold voltage shift of 1.5V in the DMOSFETs and the JBS rectifiers’ specific on-state resistance is reduced by one order of magnitude for a temperature increase of 50◦C. The strong impact on the devices’ characteristics corroborates the significance of modeling annealing capabilities.
Skip-Connected Covariance Network for Remote Sensing Scene Classification

This paper proposes a novel end-to-end learning model, called skip-connected covariance (SCCov) network, for remote sensing scene classification (RSSC). The innovative contribution of this paper is to embed two novel modules into the traditional convolutional neural network (CNN) model, i.e., skip connections and covariance pooling. The advantages of newly developed SCCov are twofold. First, by means of the skip connections, the multi-resolution feature maps produced by the CNN are combined together, which provides important benefits to address the presence of large-scale variance in RSSC data sets. Second, by using covariance pooling, we can fully exploit the second-order information contained in such multi-resolution feature maps. This allows the CNN to achieve more representative feature learning when dealing with RSSC problems. Experimental results, conducted using three large-scale benchmark data sets, demonstrate that our newly proposed SCCov network exhibits very competitive or superior classification performance when compared with the current state-of-the-art RSSC techniques, using a much lower amount of parameters. Specifically, our SCCov only needs 10% of the parameters used by its counterparts.
The Bremsstrahlung function of N = 2 SCQCD

: For SU( N ) superconformal QCD we perform a three-loop calculation of the cusp anomalous dimension for a generalized Maldacena-Wilson operator, using HQET formalism. We obtain an expression that is valid at generic geometric and internal angles and (cid:12)nite gauge group rank N . For equal and opposite angles this expression vanishes, proving that at these points the cusp becomes BPS. From its small angle expansion we derive the corresponding Bremsstrahlung function at three loops, matching the matrix model prediction given in terms of derivatives of the Wilson loop on the ellipsoid. Finally, we discuss possible scenarios at higher loops, with respect to the existence of a universal e(cid:11)ective coupling in an integrable subsector of the model.
DEVELOPMENT OF ASSEMBLY / DISASSEMBLY PROCESS SIMULATION PLATFORM

Nowadays, the design of a product cannot be made without considering the Assembly/Disassembly (A/D) process simulation required f or reducing the time and cost of the different asse mbly stages: mounting operations for manufacturing, mounting and dismounting operations for replacing/repairing components/subassemblies, automated d isassembly for product recycling at the end of its life. In this context, the current paper proposes a software platform for the complete analysis and si mulation of the A/D process named VIPAD – Virtual Platf orm for A/D Simulation. The solution developed is based on a set of two new concepts: connection inte rface and mobility operator, which are used to dete ct the interfaces between components, to identify the fasteners from an assembly, respectively to calcula te the components mobility, hence generating the valid disassembly trajectories of a component relative t o its neighboring ones. The mobility of components is computed through a kinematical model able to repre sent all the valid movements of an element from an assembly: translation, rotation and helical movements. Thus, the proposed software solution will he lp d signers to simplify their work in generating v alid A/D plans by providing complete simulations startin g from the 3D CAD model of the assembly product. A further consequence of the present work is the abil ity to generate models with semantic data attached. This supplementary information will improve the int egration of the assembly models in immersive environments by taking into account the haptic and visu al zation data needed.
Lossless image compression with lossy image using adaptive prediction and arithmetic coding

Lossless gray scale image compression is necessary for many purposes, such as medical imaging, image databases and so on. Lossy images are important as well, because of the high compression ratio. The authors propose a lossless image compression scheme using a lossy image generated with the JPEG-DCT scheme. The concept is, send a JPEG-compressed lossy image primarily, then send residual information and reconstruct the original image using both the lossy image and residual information. 3D adaptive prediction and adaptive arithmetic coding are used, which fully use the statistical parameters of the distribution of the symbol source. The optimal number of neighbor pixels and lossy pixels used for prediction is discussed. The compression ratio is better than previous work and quite close to the original lossless algorithm. <<ETX>>
SENSITIVITY COEFFICIENTS ANALYSIS IN EDPS METHOD

Development of new materials and advancement of material engineering has influenced the development of measuring methods of their physical properties in last decades. Thermophysical properties belong to the most important material properties. Progress of the electronics and computer technology has caused transition from stationary to unstationary methods. Transient methods [1] are based on generation of a dynamic temperature field inside the specimen. The measuring process can be described as follows. The temperature of the specimen is stabilised and uniform. Then the dynamic heat flow in the form of pulse or step-wise function is generated inside the specimen. From the temperature response to this small disturbance the thermophysical parameters of the specimen can be calculated.
Automated Syntax Analyses of Drawing Two Tangent Patterns in Children with Low and Average Handwriting Ability

Sequential strategies of digitized tablet drawings by 6–7–yr. -old children (N = 203) of average and below-average handwriting ability were analyzed. A Beery Visual Motor Integration (BVMI) and a Bender-Gestalt (BG) pattern, each composed of two tangential shapes, were predefined into area sectors for automatic analysis and adaptive mapping of the drawings. Girls more often began on the left side and used more strokes than boys. The below-average handwriting group showed more directional diversity and idiosyncratic strategies.
Spontaneous Resolution in Congenital Nasolacrimal Obstruction After 12 Months

A retrospective observational study was performed in order to evaluate the possibility of spontaneous resolution of tearing in the congenital nasolacrimal obstruction (CNLO). Twenty-seven CNLO child carriers with spontaneous tearing resolution were evaluated according to sex, age of starting and end of symptoms. The data were evaluated by the Chi-Square Test and non-parametric Mann-Whitney test (p ≤ 0.05). Spontaneous resolution occurred between ages 3 and 48 months (Median = 14 months; Mean = 16.2 ± 10.5 months). The period in which the child presented tearing varied from 2 months to 47.5 months (Median = 12 months) and was similar for both sexes, with or without realization of massage. Our data support the possibility of CNLO spontaneous resolution in children beyond 12 months of age, allowing us to suggest postponed probing beyond this time period.
Coating effect of micro-sized droplets impacting on low temperature spherical particles

In this paper, the effect of spray droplets on the coating of cold spherical particles was studied.The microcapsule granulator produces micron-sized droplets to coat the spherical particles in cold storage, and the high-definition camera and precision balance are used to photograph and weigh the particles before and after the spraying. The droplets are obtained by using the image and data processing technology coating area and coating quality, the droplet coating effect was evaluated by a number of dimensionless parameters such as coating ratio and mass ratio.By orthogonal design experiment and uncertainty analysis, the effects of droplet size and flow rate, spherical particle temperature and diameter on coating effect were studied, and the effect of droplet group coating on low temperature spherical particles was obtained.
Functional versus Fractional Oxygen Saturation Readings: Bias and Agreement Using Simulated Solutions and Adult Blood

The purpose of this study was to examine the bias and agreement between functional oxygen saturation (SO2) and fractional oxyhemoglobin (HbO2) using simulated quality control (QC) solutions and adult blood. Using a hemoximeter, 5 analysts performed at least 5 tests each on QC solutions with 3 different hemoglobin (Hb) levels and on adult blood samples of various oxygen saturation levels representing venous or arterial samples. Bias and the limits of agreement were determined using the technique of Bland and Altman. Using QC solutions with low, normal, and high Hb levels, the bias for SO2 against HbO2 was 20.82 0.50 (n = 66), 19.14 0.56 (n = 81), and 19.59 0.43 (n = 79), respectively, with SO2 reading consistently higher. The correlation between SO2 and HbO2 was –0.49, –0.69, and –0.68, respectively. Using adult blood, the bias for SO2 against HbO2 was 1.29 0.48 for venous samples (n = 62) and 1.9 0.19 for fully oxygenated samples (n = 36), and the correlation between SO2 and HbO2 was 1.0 and 0.68, respectively. These findings suggest that the consistency between the measurements of SO2 and HbO2 may be dependent on hemoglobin levels and oxygenation status. Thus, caution is warranted when assuming that the measurements of SO2 and HbO2 are interchangeable.
MANAGEMENT IN THE CONTEXT OF A MATHEMATICS SUBJECT GROUP

This paper analyses how Simon, a mathematics teacher, manages the curriculum, uses the textbook to plan his practice and conducts students’ assessment. It also seeks to understand the relationship between such curriculum management and the collaborative work undertaken by the mathematics teachers’ subject group. This is a qualitative and interpretative case study, with data collection through participant observation, interviews and documents. The results show that the teacher manages the curriculum adjusting the expectations of different educational players (colleagues, students and parents) and his own expectations. They also show that curriculum management supported by the collaborative context generates tensions when a teacher makes decisions that diverge from those assumed collectively.
Structure of dihydroorotase from Bacillus anthracis at 2.6 Å resolution.

Dihydroorotase (EC 3.5.2.3) catalyzes the reversible cyclization of N-carbamoyl-L-aspartate to L-dihydroorotate in the third step of the pyrimidine-biosynthesis pathway in Bacillus anthracis. A comparison is made between the structures of dihydroorotase from four different organisms, including B. anthracis dihydroorotase, and reveals substantial variations in the active site, dimer interface and overall tertiary structure. These differences demonstrate the utility of exploring multiple structures of a molecular target as expressed from different organisms and how these differences can be exploited for structure-based drug discovery.
Experimental improvement of rheological parameters of crude oil in flow

Several technics have been used to increase the mobility of crude oil pipeline transportation. The addition of the copolymer, poly (ethylene-co-vinyl acetate) (EVA) containing 12 % of vinyl acetate, can improves the rheological parameters and ease the flow of crude oil. In this present study we studied the effect of the concentration of vinyl acetate containing (EVA) on the viscosity, and the yield stress of Algerian crude oil from oil fields TFT. The rheological tests were made at low temperature 6.3,10 and 40 °C. Different concentrations of copolymer (EVA12) were tested 100, 200, 300, 400 ppm. The results obtained showed that the EVA allows reducing the apparent viscosity and the yield stress of crude oil and the results not only depends on the concentration of poly (ethylene-co-vinyl acetate) (EVA) but the temperature; also have an important influence.
Properties and Functions of Ih in Hippocampal Area CA3 Interneurons

Ih is an important contributor to the subthreshold membrane properties of various mammalian neurons, including interneurons. Here I characterize the properties of Ih in a subpopulation of hippocampal area CA3 interneurons with somata in stratum radiatum and stratum lacunosom moleculare. As shown in previous studies, Ih in these cells has sigmoidal voltage dependence of activation with kinetics characterized by two exponential components for both channel activation and deactivation. Interestingly, the activation and deactivation kinetics were most aptly described by distinct functions of voltage. These results were incorporated into a novel biophysical model of Ih that was applied in single compartment model simulations and dynamic clamp experiments. Finally, I assessed the functional consequences of Ih by examining the effects of this current on subthreshold temporal summation of mossy fiber EPSPs as well as frequency dependent neuronal responses. My results show that Ih decreases temporal summation of mossy fiber EPSPs but does not impart resonance in CA3 interneurons at potentials where Ih is active.
NDSL: Node Density-Based Subregional Localization in Large Scale Anisotropy Wireless Sensor Networks

Localization is emerging as a fundamental component in wireless sensor network and is widely used in the fields of environmental monitoring, national defense and military, transportation, and so on. Current positioning system, however, can only locate an object's position in isotropy wireless sensor network with high accuracy but cannot locate it accurately in anisotropy wireless sensor network. Besides, past proposals only mentioned anisotropy to show that connectivity of network is different in each direction. However, how to quantify the degree of anisotropy is not clearly pointed out. This paper introduces NDSL (node density-based subregional localization), a positioning system that is used in anisotropy wireless sensor network. The network is divided into many subregions where the nodes density is relatively uniform and then corrects the single-hop distance for each beacon node to locate unknown nodes. We also use nodes distribution and signals distribution to build a model to evaluate the degree of anisotropy for anisotropy network. Through the analysis of the degree of anisotropy for different topologies, the results show that the model is consistent with the facts. Results from actual deployments and simulation experiments show that the accuracy of NDSL algorithm obviously improves compared with DV-Hop algorithm.
Primary school children's use of ICT

This article reports on a study of 267 primary children (Year 2 and 6) in five schools in South and Mid Wales. It examines their use of information and communications technology (ICT) both in school and at home using a combination of interview and questionnaire data. These data reveal that although the vast majority of children are making some use of computers in school, patterns of sustained and varied engagement with ICT are rare; with educational use of computers curtailed by a variety of classroom factors. Moreover, although many children could be considered to be sophisticated and knowledgeable consumers of ICT, their outside-of-school access to technology is varied. The findings raise questions about the nature of ICT use in primary classrooms and the need to ensure meaningful and regular access to technology in school for all children.
EMOTIONAL INTELLIGENCE IN ADOLESCENCE: MOTIVATION AND PHYSICAL ACTIVITY INTELIGENCIA EMOCIONAL EN LA ADOLESCENCIA: MOTIVACIÓN Y ACTIVIDAD FÍSICA

The aim of this research was to examine the relationship between motivation, physical activity and emotional intelligence, and test in which degree physical activity influences on emotional intelligence. A sample size of 431 individuals (12-16 years old) from different schools participated in the study. Levels of selfdetermination, physical activity and emotional intelligence were assessed. Results showed significant relationships between physical activity, levels of selfdetermination and interpersonal, adaptability and mood state dimension from the emotional intelligence. Moreover, regression analysis revealed that physical activity levels predicted interpersonal, adaptability and mood state dimensions from the emotional intelligence. In conclusion, our study highlights the Rev.int.med.cienc. act. fís. deporte vol. 20 número 77 ISSN: 1577-0354 120 importance of mood and emotional adaptability, accompanied by more selfdetermined levels of motivation, in the performance of physical activity.
Computer Aided Legal Support Systems : Methodology to Automatically Convert the Legal Text into Legal Cases for Building Case Base Reasoning

In the legal domain, jurisprudence has an important role as a juridical source; its decisions support the application of the Law to a concrete case. In CALLS (Computer Aided Legal Support System), the search employed by judicial professionals when seeking for past similar legal decisions is known as jurisprudence research. Humans employ analogical reasoning when comparing a given actual situation with past decisions, noting the affinities between them. In the process of being reminded of a similar situation when faced to a new one, Case-Based Reasoning (CBR) systems simulate analogical reasoning. The paper explains about Case representation for Case-Based Reasoning (CBR) that refers to selecting proper descriptors to describe and index cases. The complexity of case representation has been preventing CBR systems from solving problems when large case bases are required. In this paper we present the methodology for automatically convert legal texts into cases based on indexing methods and domain expert knowledge. The methodology is integrated to the domain of law although it can be extended to be applied to other domains as well.
ON-ROAD ASSESSMENT OF IN-VEHICLE DRIVING WORKLOAD FOR OLDER DRIVERS : DESIGN GUIDELINES FOR INTELLIGENT VEHICLES

−There has been recent interest in intelligent vehicle technologies, such as advanced driver assistance systems (ADASs) or in-vehicle information systems (IVISs), that offer a significant enhancement of safety and convenience to drivers and passengers. However, the use of ADASand IVIS-based information devices may increase driver distraction and workload, which in turn can increase the chance of traffic accidents. The number of traffic accidents involving older drivers that are due to distraction, misjudgment, and delayed detection of danger, all of which are related to the drivers' declining physical and cognitive capabilities, has increased. Because the death rate in traffic accidents is higher when older drivers are involved, finding ways to reduce the distraction and workload of older drivers is important. This paper generalizes driver information device operations and assesses the workload while driving by means of experiments involving 40 drivers in real cars under actual road conditions. Five driving tasks (manual only, manual primarily, visual only, visual primarily, and visualmanual) and three age groups (younger (20-29 years of age), middle-aged (40-49 years of age), and older (60-69 years of age)) were considered in investigating the effect of age-related workload difference. Data were collected from 40 drivers who drove in a real car under actual road conditions. The experimental results showed that age influences driver workload while performing in-vehicle tasks.