Miracle-dz/UniFAR-FTUs huggingface dataset:
SOCTR / 97 / 03 Data Transformation Based On Data Model Derivation Dr .

Where data needs to be transferred between databases, data from the host (source) may need to be transformed so that it may be loaded into the target (recipient). This paper describes an approach to data transformation based on the idea of making the data model of host appear to be the same as the data model of the target, enabling the simplest transfer of data. This is achieved by expressing the target data model as a derivation of the host data model. This approach was developed in the context of Lincoln Software’s ToolBuilder meta-CASE product a tool for creating CASE tools. ToolBuilder’s database technology supports derived attributes, relationships and entity types. This derivation capability is the basis of the data transformation facilities.
Definition and Empirical Evaluation of Voters for Redundant Smart Sensor Systems

Voting algorithms are used to arbitrate between the results of redundant modules in fault-tolerant systems. Smart sensors are used for FDI (Fault Detection and Isolation) purposes by means of their built in intelligence. Integration of fault masking and FDI strategies is necessary in the construction of ultra-available/safe systems with on-line fault detection capability. This article introduces a range of novel software voting algorithms which adjudicate between the results of redundant smart sensors in a Triple Modular Redundant, TMR, system. Techniques to integrate replicated smart sensors and fault masking approach are discussed and a classification of hybrid voters is provided. Voters are classified into four groups: Independent-diagnostic safety-optimised voters, Integrateddiagnostic safety-optimised voters, Independent-diagnostic availability-optimised voters and Integrated-diagnostic availability-optimised voters. The properties of each category are explained and sample versions of each class as well as their possible application areas are discussed. This study is the first attempt for integration voting algorithms with fault diagnosis devices. Experimental results are presented in this paper.
Genotypic Characterization of Herpes Simplex Virus Type 1 Isolates in Immunocompromised Patients in Rio de Janeiro, Brazil

Herpes simplex virus type 1 (HSV-1) is a prevalent human pathogen that causes a variety of diseases, including an increased risk of developing more severe disease in HIV-infected individuals. In Brazil, there is no information about the molecular epidemiology of HSV-1 infection, especially in HIV-infected individuals. The aim of this study was to perform the genotypic characterization of HSV-1 among HIV-infected patients. A total of 214 serum samples from HIV-positive patients without HSV infection symptoms were enrolled in one of two reference hospitals for HIV infection managing in Rio de Janeiro. The gG and gI genes were analyzed by restriction fragment length polymorphism (RFLP) and full nucleotide sequencing of the US8 (1601 bp), UL44 (1996 bp), and UL23 (1244 bp) regions was performed. A total of 38.3% (82/214) and 32.7% (70/214) of the serum samples tested positive for gG and gI genes, respectively. RFLP analysis classified the HSV-1 as belonging to genotype A. Phylogenetic analysis of the Brazilian samples for the US8, UL44, and UL23 regions demonstrated that the nucleotide identity between Brazilian samples was higher than 97% for all genes. No acyclovir mutation was detected in the patients. The shedding of HSV in the serum samples from HIV-positive patients who were asymptomatic for HSV infection was detected in this work. This is the first report of molecular characterization of HSV-1 in Brazilian samples since there is no previous data available in the literature concerning the genotypic classification and stable distribution of Brazilian strains of HSV-1 in Rio de Janeiro, Brazil.
Non-governmental organisations, power and legitimacy in international society

Legitimacy is currently a salient topic in the International Relations (IR) literature. In an era of globalisation, discrepancies have emerged between political ideals and the realities of the global distribution of power. One significant aspect of this debate concerns the role and influence of transnational non-governmental organisations (NGOs). This article examines the issue of transnational NGOs’ legitimacy in international society. It is suggested that accusations of NGOs’ ‘illegitimacy’ often rest on a comparison between ‘legitimate’ state power sanctioned by liberal democratic norms, and ‘illegitimate’ non-state power. More pressing than the fact of non-governmental sector’s ‘non-state’ character, however, is the question of how to put effective limits on power per se in international society.
Effect of bone quality and implant surgical technique on implant stability quotient (ISQ) value

PURPOSE This study investigated the influence of bone quality and surgical technique on the implant stability quotient (ISQ) value. In addition, the influence of interfacial bone quality, directly surrounding the implant fixture, on the resonance frequency of the structure was also evaluated by the finite element analysis. MATERIALS AND METHODS Two different types of bone (type 1 and type 2) were extracted and trimmed from pig rib bone. In each type of bone, the same implants were installed in three different ways: (1) Compaction, (2) Self-tapping, and (3) Tapping. The ISQ value was measured and analyzed to evaluate the influence of bone quality and surgical technique on the implant primary stability. For finite element analysis, a three dimensional implant fixture-bone structure was designed and the fundamental resonance frequency of the structure was measured with three different density of interfacial bone surrounding the implant fixture. RESULTS In each group, the ISQ values were higher in type 1 bone than those in type 2 bone. Among three different insertion methods, the Tapping group showed the lowest ISQ value in both type 1 and type 2 bones. In both bone types, the Compaction groups showed slightly higher mean ISQ values than the Self-tapping groups, but the differences were not statistically significant. Increased interfacial bone density raised the resonance frequency value in the finite element analysis. CONCLUSION Both bone quality and surgical technique have influence on the implant primary stability, and resonance frequency has a positive relation with the density of implant fixture-surrounding bone.
Reconstruction of atomistic details from coarse‐grained structures

We present an algorithm to reconstruct atomistic structures from their corresponding coarse‐grained (CG) representations and its implementation into the freely available molecular dynamics (MD) program package GROMACS. The central part of the algorithm is a simulated annealing MD simulation in which the CG and atomistic structures are coupled via restraints. A number of examples demonstrate the application of the reconstruction procedure to obtain low‐energy atomistic structural ensembles from their CG counterparts. We reconstructed individual molecules in vacuo (NCQ tripeptide, dipalmitoylphosphatidylcholine, and cholesterol), bulk water, and a WALP transmembrane peptide embedded in a solvated lipid bilayer. The first examples serve to optimize the parameters for the reconstruction procedure, whereas the latter examples illustrate the applicability to condensed‐phase biomolecular systems. © 2010 Wiley Periodicals, Inc. J Comput Chem, 2010
Cadherin Cytoplasmic Domains Inhibit the Cell Surface Localization of Endogenous E-Cadherin, Blocking Desmosome and Tight Junction Formation and Inducing Cell Dissociation

The downregulation of E-cadherin function has fundamental consequences with respect to cancer progression, and occurs as part of the epithelial–mesenchymal transition (EMT). In this study, we show that the expression of the Discosoma sp. red fluorescent protein (DsRed)-tagged cadherin cytoplasmic domain in cells inhibited the cell surface localization of endogenous E-cadherin, leading to morphological changes, the inhibition of junctional assembly and cell dissociation. These changes were associated with increased cell migration, but were not accompanied by the down-regulation of epithelial markers and up-regulation of mesenchymal markers. Thus, these changes cannot be classified as EMT. The cadherin cytoplasmic domain interacted with β-catenin or plakoglobin, reducing the levels of β-catenin or plakoglobin associated with E-cadherin, and raising the possibility that β-catenin and plakoglobin sequestration by these constructs induced E-cadherin intracellular localization. Accordingly, a cytoplasmic domain construct bearing mutations that weakened the interactions with β-catenin or plakoglobin did not impair junction formation and adhesion, indicating that the interaction with β-catenin or plakoglobin was essential to the potential of the constructs. E-cadherin–α-catenin chimeras that did not require β-catenin or plakoglobin for their cell surface transport restored cell–cell adhesion and junction formation.
Image classification using hybrid data mining algorithms - a review

Data mining is one of the most significant research area in computer science. It is a calculation process of finding and determining valuable information from huge data set. Image classification is an important technique to generate valuable information. The classification method provides the accurate result in their target class. This review compares the some predominant hybrid classification algorithms to find the classification accuracy for various data sets and their performance of techniques. It provides some important hybrid techniques that have been used for image classification. In this paper the hybrid data mining algorithms are studied like GA-SVM, EKM-EELM, AdaBoost-SVM, Decision Tree-Naive Bayes, and SVM-CART.
The Analysis of Losses in High-Power Fault-Tolerant Machines for Aerospace Applications

This paper discusses the design of a fault-tolerant electric motor for an aircraft main engine fuel pump. The motor in question is a four-phase fault-tolerant motor with separated windings and a six-pole permanent magnet rotor. Methods of reducing machine losses in both the rotor and stator are introduced and discussed. The methods used to calculate rotor eddy current losses are examined. Full three-dimensional finite-element (FE) time stepping, two-dimensional (2-D) FE time stepping, and 2-D FE harmonic methods are discussed, and the differences between them and the results they produce were investigated. Conclusions are drawn about the accuracy of the results produced and how the methods in question will help the machine designer
The Effect of Sleep-Dependent Memory Consolidation on Pattern Separation and Pattern Completion in Delayed Retrieval

The Effect of Sleep-Dependent Memory Consolidation on Pattern Separation and Pattern Completion in Delayed Retrieval Jesse Ray James Department of Psychology, BYU Doctor of Philosophy While people sleep, the brain replays the same neural firings that resulted from waking activities that day. This results in greater memory strength following a sleeping delay than a waking delay. The current project built upon this fact in a series of three experiments. Experiment 1. Although previous research has demonstrated a benefit of sleep to memory strength, the literature has not established the impact of sleep on memory specificity. Computational models of medial temporal lobe function posit that discrimination and generalization across similar memories are accomplished through processes known as pattern separation and pattern completion, respectively. To discover whether sleep predisposes people toward pattern separation or pattern completion, participants studied pictures of common objects. After a 12-hour delay, during which participants either slept or stayed awake, participants indicated whether “lure” images were exactly the same or merely similar to those they studied. There was better memory discrimination in those who slept, consistent with a bias toward pattern separation following sleep. Experiment 2. In order to discover whether the pattern of memory demonstrated in Experiment 1 would carry over to semantic memories, participants studied textbook material and took a true/false test 12 hours later. There was a shift in the response trends following sleep, such that participants were more likely to mistakenly endorse highly similar false statements as “true” but were also more likely to correctly endorse more dissimilar false statements as “false. ” However, we did not detect evidence of an increased bias toward pattern separation or pattern completion following sleep for this material. Our findings appear consistent with the prediction that memory specificity is benefitted by sleep. Experiment 3. Previous research has demonstrated that memories encoded later in the day are consolidated better than memories encoded earlier in the day. However, these studies have not controlled for the differential decay that memories suffer across these two elapsed periods. In this study, we attempted to show the degree of improvement afforded by sleep using a beforesleep comparison group. However, post hoc analyses revealed a significant interaction between the proposed outcomes and whether participants had napped during the day. These preliminary findings may suggest that napping differentially affects the consolidation of information studied before and after napping.
STEAL: Service Time-Aware Load balancer on many-core processors for fast intrusion detection

To realize the high-speed intrusion detection by accommodating many regex-based signatures and the growing network link capacities, we propose a Service TimE-Aware Load balancing algorithm, which is called STEAL. This work is motivated from the observation that utilization of the many-core Network Intrusion Detection System (NIDS) is influenced by unfair computational distribution among many-core NIDS nodes. To avoid unfair computational distribution among many-core NIDS nodes, STEAL is designed to dynamically distribute the large volume of traffic among many-core NIDS nodes based on the packet service time, which is represented by the deep packet time in many-core NIDS nodes. From experiments, we show that compared to the commonly used load balancing algorithm based on arrival rate, STEAL increases the number of received packets, i.e., decreases the number of dropped packets, in many-core NIDS. Specifically, by integrating an open source NIDS, i.e. Bro, with STEAL, we show that even under the attack-dominant traffic and many signatures, STEAL can rapidly improve the performance of many-core NIDS to realize the high-speed intrusion detection.
Information Hiding: User Point of View

Information hiding techniques have recently become important in a number of application areas. The information hiding scheme can be classified into two main application fields: steganography and watermarking. There is a considerable amount of published work in this field. However, little work addresses information hiding from the user's point of view. Potential problems, user requirements, evaluation and protection are introduced. The results illustrate that normal users prefer watermarking rather than steganography.
Status and outlook of emerging nonvolatile memory technologies

This paper reviews the concept, status and challenges of emerging nonvolatile memory technologies. The technologies that are discussed and compared to state of the art flash technology are the conductive bridging RAM (CBRAM), the ferro-electric RAM (FeRAM), the magneto-resistive RAM (MRAM), the organic RAM (ORAM) and the phase change RAM (PCRAM).
Children’s Processing and Comprehension of Complex Sentences Containing Temporal Connectives: The Influence of Memory on the Time Course of Accurate Responses

In a touch-screen paradigm, we recorded 3- to 7-year-olds’ (N = 108) accuracy and response times (RTs) to assess their comprehension of 2-clause sentences containing before and after. Children were influenced by order: performance was most accurate when the presentation order of the 2 clauses matched the chronological order of events: “She drank the juice, before she walked in the park” (chronological order) versus “Before she walked in the park, she drank the juice” (reverse order). Differences in RTs for correct responses varied by sentence type: accurate responses were made more speedily for sentences that afforded an incremental processing of meaning. An independent measure of memory predicted this pattern of performance. We discuss these findings in relation to children’s knowledge of connective meaning and the processing requirements of sentences containing temporal connectives.
Coarse-Grained Stochastic Particle-based Reaction-Diffusion Simulation Algorithm

In recent years, several particle-based stochastic simulation algorithms (PSSA) have been developed to study the spatially resolved dynamics of biochemical networks at a molecular scale. A challenge all these approaches have to address is to allow for simulations at cell-biologically relevant timescales without neither neglecting important spatial and biochemical properties of the simulated system nor introducing ad-hoc assumptions not based on physical principles. Here we describe a PSSA that permits large time steps while still retaining a high degree of accuracy. The approach addresses the typical disadvantage of Brownian dynamics, namely the need to use small time steps to resolve bimolecular encounters accurately, by estimating the number of otherwise unnoticed encounters with the help of the Green's functions of the diffusion equation incorporating molecular interactions. This method has previously been proposed for purely absorbing boundary conditions and irreversible bimolecular reactions. Building on those ideas, we developed a general-purpose PSSA that is applicable to a broad class of reaction-diffusion problems by incorporating reflective and radiation boundary conditions and reversible reactions. We furthermore discuss how reaction-diffusion systems on 2D membranes can be described and derive small time expansions of the Green's functions that substantially speed up key calculations, particularly in the problematic case of molecules in close proximity. Finally, we point out the formal relationship between our and exact algorithms. The proposed algorithm may serve as an easily implementable and flexible, computationally efficient, coarse-grained description of reaction-diffusion systems in 2D and 3D that nevertheless provides a stochastic, detailed representation at the level of individual particle trajectories in space and time.
Impact of Silver Nanoparticles on the Ultraviolet Radiation Direct and Bystander Effects on TK6 Cell Line

Purpose/Aim: Ultraviolet C (UVC) radiation is harmful to cells and living organisms that cause direct and indirect DNA damage. UVC can also increase the inflammatory genes expression such as COX-2 that results in elevated oxidative stress that plays a role in radiation-induced bystander effect (BSE). Silver nanoparticles (AgNPs) have used widely in commercial and medical products and the toxicological risks of AgNPs must be determined. The aim of this study was to investigate the direct and BSEs of UVC radiation and AgNPs on TK6 cell line. Materials and Methods: TK6 cells were exposed to AgNPs (10 μg/ml, 1 h). Then, they were exposed to UVC and to determine the BSEs of radiation, the irradiated cells media were transferred to nonirradiated cells. Expression level of H2AX and COX-2 mRNAs were examined by quantitative real-time PCR and 8-OHdG formation was examined by ELISA. The cell viability examined by MTT assay. Results: P < 0.05 was considered as the level of significance. The results showed that the mean expression level of H2AX mRNA in the AgNPs + UVC group increased significantly in comparison with UVC group. 8-OHdG increased significantly in the BSE of UV group in comparison with sham control of BSE. COX-2 mRNA increased significantly in the BSE of AgNPs + UVC with sham control in BSE. Conclusions: Our findings showed the induced DNA damage in TK6 cell by AgNPs and UVC radiation and also were seen BSE.
A new velocity field controller for robot arms

By using only position measurements, in this paper is discussed a new control algorithm for velocity field control of robot arms. A velocity field defines the robot desired velocity in the operational space as a function of its current position. The introduced algorithm is based on a hierarchical structure that result of using the kinematic control concept and a joint velocity controller
Weighted Factor Multiobjective Design Optimization of a Reluctance Synchronous Machine

The relationship between the well-known competitive torque density and less-competitive power factor of reluctance synchronous machines (RSMs) is investigated in this study. The investigation was carried out by implementing a complete machine model in the optimization, with varying machine-pole number and flux-barrier number combinations. Furthermore, the study consists of a multiobjective design optimization implementing a weighted-factor optimization technique. Determination of the weighting of this specific parameter relationship enables the designer to select an optimum multiobjective relationship during optimization. A specific machine was selected for analysis, then analyzed and manufactured for validation of simulation results.
XMM-Newton Observations of CXOU J010043.1–721134: The First Deep Look at the Soft X-Ray Emission of a Magnetar

We present the analysis of six XMM-Newton observations of the anomalous X-ray pulsar CXOU J010043.1–721134, the magnetar candidate characterized by the lowest interstellar absorption. In contrast with all the other magnetar candidates, its X-ray spectrum cannot be fitted by an absorbed power-law plus blackbody model. The sum of two (absorbed) blackbody components with kT1 = 0.30 ± 0.02 keV and kT2 = 0.7 ± 0.1 keV gives an acceptable fit, and the radii of the corresponding blackbody emission regions are R∞BB 1 = 12.1+ 2.1−1.4 km and R∞BB 2 = 1.7+ 0.6−0.5 km. The former value is consistent with emission from a large fraction of a neutron star surface, and given the well-known distance of CXOU J010043.1–721134, which is located in the Small Magellanic Cloud, it provides the most constraining lower limit to a magnetar radius ever obtained. A more physical model, where resonant cyclotron scattering in the magnetar magnetosphere is taken into account, has also been successfully applied to this source.
Akt Stimulates Aerobic Glycolysis in Cancer Cells

Cancer cells frequently display high rates of aerobic glycolysis in comparison to their nontransformed counterparts, although the molecular basis of this phenomenon remains poorly understood. Constitutive activity of the serine/threonine kinase Akt is a common perturbation observed in malignant cells. Surprisingly, although Akt activity is sufficient to promote leukemogenesis in nontransformed hematopoietic precursors and maintenance of Akt activity was required for rapid disease progression, the expression of activated Akt did not increase the proliferation of the premalignant or malignant cells in culture. However, Akt stimulated glucose consumption in transformed cells without affecting the rate of oxidative phosphorylation. High rates of aerobic glycolysis were also identified in human glioblastoma cells possessing but not those lacking constitutive Akt activity. Akt-expressing cells were more susceptible than control cells to death after glucose withdrawal. These data suggest that activation of the Akt oncogene is sufficient to stimulate the switch to aerobic glycolysis characteristic of cancer cells and that Akt activity renders cancer cells dependent on aerobic glycolysis for continued growth and survival.