Miracle-dz/UniFAR-FTUs huggingface dataset:
Approaches for scheduling of triggered transactions in real-time active database systems

A real-time active database system (RTADBS) has to provide capabilities for timely trigger of time constrained transactions and at the same time to process them, concurrently with others transactions, in a real-time manner. Mostly, triggered transactions are critical transactions. It is highly important to commit them. Committing a triggered transaction requires meeting the deadline constraints of its triggering transaction and also the data deadlines of its accessed temporal data objects. However, the generations of triggered transactions decrease the predictability of the system as they increase the system workload and the probability of data conflicts. The authors propose different approaches for assigning deadlines and priorities to the triggered transactions with the objectives to satisfy the timing requirements of the triggered transactions especially for the more critical ones. The performance of the new approaches and their relationships with different coupling modes have been studied using simulation.
On implementing passivity in discrete linear systems

Recent publications have shown that under some conditions continuous linear time-invariant systems become strictly positive real with constant feedback. This paper expands the applicability of this result to discrete linear systems. The paper shows the sufficient conditions that allow a discrete system to become stable and strictly passive via static (constant or nonstationary) output feedback. However, as the passivity conditions require a direct input-output connection that ends in an algebraic loop that includes the adaptive or nonlinear controller, they have been considered to be impossible to implement in realistic discrete-time systems. Therefore, this paper also finally solves the apparently inherent algebraic loop, thus allowing satisfaction of the passivity condition and implementation of adaptive and nonlinear control techniques in discrete-time positive real systems.
Towards a Hybrid Quantitative-Qualitative GIS

Since ancient times, men had the necessity to catch, model and store information. An important part of the information field is the one concerned with geographical and spatial matters. In general, geographic (or geospatial) information is created by manipulating geographic (or spatial) data. Nowadays, geospatial information can be stored, manipulated and queried within special informatics systems named GIS (Geographic Information System).
Fitness of antibiotic resistant Staphylococcus epidermidis assessed by competition on the skin of human volunteers.

BACKGROUND Antibiotic resistance typically confers a biological fitness cost on bacteria that can be manifested as a decreased growth rate in culture media and experimental animals. However, there are limited experimental data on the relative fitness of resistant and susceptible bacteria during growth in their natural environment. OBJECTIVE We have developed a human competition model to investigate the relative fitness of antibiotic-resistant and -susceptible bacteria. MATERIALS AND METHODS A non-epidemic Staphylococcus epidermidis strain was isolated from skin, and a rifampicin-resistant (RifR) clone was selected. The RifR marker was used to distinguish the inoculated strains from the resident population of coagulase-negative staphylococci. The RifR strains were further selected for resistance to ciprofloxacin (CipR) and fusidic acid (FusR). A 1:1 mix of susceptible and resistant bacteria was applied on the forearms of 12 volunteers. Competition was monitored by sampling bacteria from skin and determining their relative numbers. RESULTS Resistance to ciprofloxacin due to parC mutations did not decrease the growth rate in vitro, and the CipR/CipS ratio was close to 1 during day 1 and 3 in the in vivo competition experiments. In contrast, fusidic acid resistance due to fusA mutations resulted in a decrease in the growth rate in vitro and a considerable loss of fitness in the competition. The FusR/FusS ratio diminished from 1.3 to 0.023 in 3 days. CONCLUSIONS These data show that human volunteers can be used as a simple and relevant model to study the biological cost of resistance.
Performance analysis of data clustering algorithms using various effectiveness measures

Data clustering is a method to group the data records that are similar to each other. In recent days, researcher show significant attention towards the use of swarm based optimization algorithms to improve the performance of clustering process. This Performance analysis concentrates on the effectiveness of five different algorithms with respect to various distances metrics to find the effective algorithm among them. The algorithms used for comparison are K-means algorithm, Artificial Bee Colony (ABC) algorithm, Fuzzy C-Means (FCM) incorporated ABC (ABFCM) algorithm, K-means incorporated Artificial Bee Colony (ABK) algorithm and Bacterial Foraging Optimization algorithm (BFO). Among those algorithms, ABFCM and ABK algorithms are enhanced ABC algorithm in which the FCM and K-means operator are incorporated in the sc out phase of the traditional ABC algorithm respectively. In this paper, the performance of these algorithms are compared in terms of various distances metrics like dice coefficient, jaccard coefficient, beta index and distance index by varying the cluster sizes and number of iteration. Finally, from the experimental results it proves that the proposed algorithms ABFCM and ABK outperforms better when compared with the existing algorithms.
Baicalin Protects the Cardiomyocytes from ER Stress-Induced Apoptosis: Inhibition of CHOP through Induction of Endothelial Nitric Oxide Synthase

Baicalin, the main active ingredient of the Scutellaria root, exerts anti-oxidant and anti-apoptotic effects in cardiovascular diseases. However, the therapeutic mechanism of baicalin remains unknown. Cultured neonatal rat cardiomyocytes were pre-treated with baicalin (0–50 µM) for 24 h, and subsequently treated with tunicamycin (100 ng/ml). Cell viability was detected by MTT assay, and cell damage was determined by LDH release and TUNEL assay. The expression of CHOP, JNK, caspase-3, eNOS was analyzed by western blot. NO was measured by DAF-FM staining. As a result, treatment with baicalin significantly reduced apoptosis induced by ER stress inducer tunicamycin in cardiomyocytes. Molecularly, baicalin ameliorated tunicamycin-induced ER stress by downregulation of CHOP. In addition, baicalin inverted tunicamycin-induced decreases of eNOS mRNA and protein levels, phospho eNOS and NO production through CHOP pathway. However, the protective effects of baicalin were significantly decreased in cardiomyocytes treated with L-NAME, which suppressed activation of nitric oxide synthase. In conclusion, our results implicate that baicalin could protect cardiomyocytes from ER stress-induced apoptosis via CHOP/eNOS/NO pathway, and suggest the therapeutic values of baicalin against ER stress-associated cardiomyocyte apoptosis.
To Be or Not to Be ( Served ) : Cost Sharing Without Indifferences ∗

In a cost-sharing problem, finitely many players have unknown valuations for some service, and a mechanism is sought for determining which players to serve and how to distribute the incurred cost. An ideal mechanism is collusion-resistant (elicits truthful valuations even if players could collude), budget-balanced (recovers the cost), economically efficient (trades off cost and valuations), and polynomial-time computable. We propose egalitarian mechanisms that essentially fulfill all of these properties: They satisfy a stronger notion of collusion-resistance than weak group-strategyproofness, they are exactly budget-balanced, and they are optimally efficient (among all truthful and approximately budget-balanced mechanisms). With a novel technique based on monotonic algorithms, we also achieve polynomial-time computability. We give several applications to scenarios where costs are induced by scheduling or bin-packing problems. Compared to the known limitations of Moulin (1999) mechanisms, our results show that by sacrificing just a marginal amount of collusion-resistance, our mechanisms allow for vast performance improvements. JEL Classification. C63, D44
Identification of Highly Selective and Potent Histone Deacetylase 3 Inhibitors Using Click Chemistry-Based Combinatorial Fragment Assembly

To find histone deacetylase 3 (HDAC3)-selective inhibitors, a series of 504 candidates was assembled using “click chemistry”, by reacting nine alkynes bearing a zinc-binding group with 56 azide building blocks in the presence of Cu(I) catalyst. Screening of the 504-member triazole library against HDAC3 and other HDAC isozymes led to the identification of potent and selective HDAC3 inhibitors T247 and T326. These compounds showed potent HDAC3 inhibition with submicromolar IC50s, whereas they did not strongly inhibit other isozymes. Compounds T247 and T326 also induced a dose-dependent selective increase of NF-κB acetylation in human colon cancer HCT116 cells, indicating selective inhibition of HDAC3 in the cells. In addition, these HDAC3-selective inhibitors induced growth inhibition of cancer cells, and activated HIV gene expression in latent HIV-infected cells. These findings indicate that HDAC3-selective inhibitors are promising candidates for anticancer drugs and antiviral agents. This work also suggests the usefulness of the click chemistry approach to find isozyme-selective HDAC inhibitors.
Facile biosynthesis, separation and conjugation of gold nanoparticles to doxorubicin

Particle shape and size determine the physicochemical and optoelectronic properties of nanoscale materials, including optical absorption, fluorescence, and electric and magnetic moments. It is thus desirable to be able to synthesize and separate various particle shapes and sizes. Biosynthesis using microorganisms has emerged as a more ecologically friendly, simpler, and more reproducible alternative to chemical synthesis of metal and semiconductor nanoparticles, allowing the generation of rare forms such as triangles. Here we show that the plant pathogenic fungus Helminthosporum solani, when incubated with an aqueous solution of chloroaurate ions, produces a diverse mixture of extracellular gold nanocrystals in the size range from 2 to 70 nm. A plurality are polydisperse spheres, but a significant number are homogeneously sized rods, triangles, pentagons, pyramids, and stars. The particles can be separated according to their size and shape by using a sucrose density gradient in a tabletop microcentrifuge, a novel and facile approach to nanocrystal purification. Conjugation to biomolecules can be performed without further processing, as illustrated with the smallest fraction of particles which were conjugated to the anti-cancer drug doxorubicin (Dox) and taken up readily into HEK293 cells. The cytotoxicity of the conjugates was comparable to that of an equivalent concentration of Dox.
Excessive Leucine-mTORC1-Signalling of Cow Milk-Based Infant Formula: The Missing Link to Understand Early Childhood Obesity

Increased protein supply by feeding cow-milk-based infant formula in comparison to lower protein content of human milk is a well-recognized major risk factor of childhood obesity. However, there is yet no conclusive biochemical concept explaining the mechanisms of formula-induced childhood obesity. It is the intention of this article to provide the biochemical link between leucine-mediated signalling of mammalian milk proteins and adipogenesis as well as early adipogenic programming. Leucine has been identified as the predominant signal transducer of mammalian milk, which stimulates the nutrient-sensitive kinase mammalian target of rapamycin complex 1 (mTORC1). Leucine thus functions as a maternal-neonatal relay for mTORC1-dependent neonatal β-cell proliferation and insulin secretion. The mTORC1 target S6K1 plays a pivotal role in stimulation of mesenchymal stem cells to differentiate into adipocytes and to induce insulin resistance. It is of most critical concern that infant formulas provide higher amounts of leucine in comparison to human milk. Exaggerated leucine-mediated mTORC1-S6K1 signalling induced by infant formulas may thus explain increased adipogenesis and generation of lifelong elevated adipocyte numbers. Attenuation of mTORC1 signalling of infant formula by leucine restriction to physiologic lower levels of human milk offers a great chance for the prevention of childhood obesity and obesity-related metabolic diseases.
How much semantics on the "wild" Web is enough for machines to help us?

The current Web is not only a place for the content available in any time and location. It is also a place where we actually spend time to perform our working tasks, a place where we look for not only interesting information, but also entertainment, and friends, a place where we spend part of our rest. The Web is also an infrastructure for applications which offer various services. There is so many aspects of the Web that this diverse organism is a subject of study of researchers from various disciplines. In this paper we concentrate on information retrieval aspect of the Web, which is still prevailing. How we can improve information retrieval, be it goal-driven or exploratory? To which extent we are able to give our machines means for helping us in information retrieval tasks? Is there any level of semantics, which we can supply for the Web in general, and it will help? We present some aspects of information acquisition by search on the “wild” Web together of examples of approaches to particular tasks towards the improvement of information search, which were proposed in last two years within the Institute of Informatics and Software Engineering at the Slovak University of Technology, especially within the PeWe (Personalized Web) research group.
Information Security Management

today data behind building and hardware equipment are very important investment of enterprise and organization and play main role in it. Different enterprise and organization have different security requirements and in order to their requirement must be apply different control security. In order to data protection from integrity and security aspects, many authors have many tries. Information security management guide lines have extent scope and most of them are common and don't attention to enterprise or organization difference. Because of these reasons we need to information security management standards. In this paper ISO\IEC 27000 series and ISO\IEC 15408 describes and from scope and application aspect compared with together. The results can be provide better information security management.
RL-TOPS: An Architecture for Modularity and Re-Use in Reinforcement Learning

This paper introduces the RL-TOPs architecture for robot learning, a hybrid system combining teleo-reactive planning and reinforcement learning techniques. The aim of this system is to speed up learning by decomposing complex tasks into hierarchies of simple behaviours which can be learnt more easily. Behaviours learnt in this way can subsequently be re-used to solve a variety of problems, reducing the need to learn every new task from scratch. It is even possible to learn multiple behaviours simultaneously, thus making more eecient use of experience. We demonstrate these advantages in a simple simulated environment.
Online Algorithms with Discrete Visibility - Exploring Unknown Polygonal Environments

The context of this work is the exploration of unknown polygonal environments with obstacles. Both the outer boundary and the boundaries of obstacles are piecewise linear. The boundaries can be nonconvex. The exploration problem can be motivated by the following application. Imagine that a robot has to explore the interior of a collapsed building, which has crumbled due to an earthquake, to search for human survivors. It is clearly impossible to have a knowledge of the building's interior geometry prior to the exploration. Thus, the robot must be able to see, with its onboard vision sensors, all points in the building's interior while following its exploration path. In this way, no potential survivors will be missed by the exploring robot. The exploratory path must clearly reflect the topology of the free space, and, therefore, such exploratory paths can be used to guide future robot excursions (such as would arise in our example from a rescue operation).
Conceptualizing Public Library Service to Newcomers in Canada

This doctoral dissertation research examines the historical development of public library services to newcomers in the context of immigration related policies such as settlement and multiculturalism (1945-2011). The analysis focuses on the ways that immigrants have been constituted in government and library policies and on the nature of services provided to them. Cette these de doctorat porte sur le developpement des services en bibliotheque publique s’adressant aux nouveaux arrivants dans le contexte de politiques liees a l’immigration, notamment l’etablissement et le multiculturalisme (1945-2011). L’analyse porte sur les facons dont les immigrants ont ete constitues dans les politiques du gouvernement des bibliotheques et sur la nature des services qui leur etaient offerts.
MINDS: A Middleware Infrastructure for Distributed Services Provisioning

It is widely believed that future applications within the scientific and business communities would not be developed from scratch but assembled on the fly by reusing existing atomic services available in a grid ecosystem. This is premised on the fact that both domains have adopted the Service Oriented Computing (SOC) paradigm for developing its applications. However, providing key support components through a middleware infrastructure is vital to realizing the visionary promise of SOC. Whereas the need for middleware support in SOC is clearly evident, current middleware approaches and solutions fall short because they do not sufficiently address dynamic composition of services in dynamic and open environments. In this paper, we present MINDS, an agent-based middleware infrastructure for dynamic composition of distributed (Grid/Web) services. We discuss the design and implementation of MINDS and compare it with some existing systems. We conclude that MINDS is particularly suitable for distributed services with capabilities of autonomy, flexibility, maintainability, reliability and robustness.
Stroke and self-identity among people of advanced older age : a biographical approach

2 Acknowledgements . 3 List of Tables . 7 Chapter 1: Literature Review: Identity, old age and chronic illness . 9 Introduction . 9 Characteristics of the ageing population . 10 Understanding societal attitudes to older people . 14 ‘Identity’ and the ‘self’ . 18 Identity in older age . 22 Chronic illness, self-identity and biography . 26 Summary . 35 Chapter 2: Literature Review: Self-presentation, Interaction and Language38 Introduction . 38 Co-construction of chronic illness narratives . 39 Language use in interaction . 49 Gender and language . 49 The experience of illness, gender and language . 50 Summary . 54 Aims . 57 Research questions . 58 Chapter 3: Methods . 60 Introduction . 60 Setting and sample . 60 Sampling approach . 62 Recruitment . 62 Biographical narrative approach . 65 Data collection . 66 Pilot interviews . 66 Interviews with individual stroke survivors . 67 Joint interviews . 71 Analysis . 74 Thematic analysis . 74 Analysis of joint interviews . 81
Indirect vector control of induction motor using fuzzy logic controller

The paper presents a fuzzy logic speed control system based on fuzzy logic approach for an indirect vector controlled induction motor drive for high performance. The analysis, design and simulation of the fuzzy logic controller for indirect vector control induction motor are carried out based on fuzzy set theory. The proposed fuzzy controller is compared with PI controller with no load and various load condition. The result demonstrates the robustness and effectiveness of the proposed fuzzy controller for high performance of induction motor drive system.
Inertial Modes of Slowly Rotating Isentropic Stars

We investigate inertial mode oscillations of slowly and uniformly rotating, isentropic, Newtonian stars. Inertial mode oscillations are induced by the Coriolis force due to the star's rotation, and their characteristic frequencies are comparable with the rotation frequency Ω of the star. So-called r-mode oscillations form a subclass of the inertial modes. In this paper, we use the term "r-modes" to denote the inertial modes for which the toroidal motion dominates the spheroidal motion, and the term "inertial modes" to denote the inertial modes for which the toroidal and spheroidal motions have comparable amplitudes. Using the slow rotation approximation consistent up to the order of Ω3, we study the properties of the inertial modes and r-modes by taking account of the effect of the rotational deformation of the equilibrium on the eigenfrequencies and eigenfunctions. The eigenfrequencies of the r-modes and inertial modes calculated in this paper are in excellent agreement with those obtained by Lindblom et al. and Lockitch & Friedman. We also estimate the dissipation timescales due to the gravitational radiation and several viscous processes for polytropic neutron star models. We find that for the inertial modes the mass multipole gravitational radiation dominates the current multipole radiation, which dominates in the case of the r-modes. It is also found that the inertial mode instability is more unstable than previously reported by Lockitch & Friedman and survives the viscous damping processes relevant in neutron stars.
Buck-Boost Converter for BLDC Motor Drive to Improve Power Factor

This paper presents an influence issue improved by victimisation buck-boost convertor for BLDC motor drive as a value effective answer for low power applications. AN approach of speed management of BLDC motor by dominant the DC link voltage of VSI (Voltage supply Inverter) is employed. This facilitates the operation of VSI at fundamental change by victimisation the electronic commutation of BLDC motor that offers reduced change losses. A buck-boost convertor is meant to work in DICM (Discontinuous electrical device Current Mode) to supply AN unity Power issue at AC mains. The performance of the projected drive is evaluated over a good vary of speed management and ranging offer voltages with improved power quality at AC mains. The performance of projected drive is simulated in MATLAB/Simulink atmosphere.
Predicting Compliance of WSLA Contracts Using Automated Model Creation

Service level agreements (SLAs) are designed to be monitorable contracts between a provider and consumer of a service. It is of intere st to determine if such SLAs can also be used as input to a predictive model, e.g., a discrete-event stochastic model. For that purpose we study in this paper WSLA, the w eb service level agreement language, an SLA specification language tailored to web services. We provide a mapping from WSLA to metrics defined in the discret e vent stochastic modeling formalism SDES (stochastic discrete event systems). We provide extensions to the commonly used SPNP tool to automate much of this pr ocess, such that given a WSLA document, the mapped SDES metrics can be deriv ed automatically as much as possible. We will specify precisely what the modele r inputs during this process, and demonstrate the use of our tool for WSLA compliance prediction. © 2010 University of Newcastle upon Tyne. Printed and published by the University of Newcastl e upon Tyne, Computing Science, Claremont Tower, Claremont Road, Newcastle upon Tyne, NE1 7RU, England. Bibliographical details YASSIN KASSAB, R. , VAN MOORSEL, A Predicting Compliance of WSLA Contracts Using Automat ed Model Creation [By] Yassin Kassab, R. , van Moorsel, A. Newcastle upon Tyne: University of Newcastle upon T y e: Computing Science, 2010. (University of Newcastle upon Tyne, Computing Scienc e, Technical Report Series, No. CS-TR-1204)