Miracle-dz/UniFAR-FTUs huggingface dataset:
Characterizing Cloud Federation for Enhancing Providers' Profit

Cloud federation has been proposed as a new paradigm that allows providers to avoid the limitation of owning only a restricted amount of resources, which forces them to reject new customers when they have not enough local resources to fulfill their customers' requirements. Federation allows a provider to dynamically outsource resources to other providers in response to demand variations. It also allows a provider that has underused resources to rent part of them to other providers. Both things could make the provider to get more profit when used adequately. This requires that the provider has a clear understanding of the potential of each federation decision, in order to choose the most convenient depending on the environment conditions. In this paper, we present a complete characterization of providers' federation in the Cloud, including decision equations to outsource resources to other providers, rent free resources to other providers (i.e. insourcing), or shutdown unused nodes to save power, and we characterize these decisions as a function of several parameters. Then, we demonstrate in the evaluation section how a provider can enhance its profit by using these equations to exploit federation, and how the different parameters influence which is the best decision on each situation.
A direct adaptive method for faster backpropagation learning: the RPROP algorithm

A learning algorithm for multilayer feedforward networks, RPROP (resilient propagation), is proposed. To overcome the inherent disadvantages of pure gradient-descent, RPROP performs a local adaptation of the weight-updates according to the behavior of the error function. Contrary to other adaptive techniques, the effect of the RPROP adaptation process is not blurred by the unforeseeable influence of the size of the derivative, but only dependent on the temporal behavior of its sign. This leads to an efficient and transparent adaptation process. The capabilities of RPROP are shown in comparison to other adaptive techniques. <<ETX>>
Low-molecular-weight heparin : A review of the results of recent studies of the treatment of venous thromboembolism and unstable angina.

Low-molecular-weight heparins (LMWHs) are a new class of anticoagulants derived from unfractionated heparin (UFH). They have a number of advantages over UFH that have led to their increasing use for a number of thromboembolic indications.1 This article will review the limitations of UFH and the mechanisms by which LMWHs overcome these limitations and discuss the results of recent clinical trials evaluating LMWHs for the treatment of venous thrombosis, pulmonary embolism, and unstable angina. Heparin has pharmacokinetic, biophysical, and biological limitations.2 LMWHs overcome the pharmacokinetic and some of the biological limitations of UFH, but they share the same biophysical limitations. ### Pharmacokinetic Limitations of UFH The pharmacokinetic limitations of heparin are caused by its nonspecific binding to proteins and cells.2 3 Because heparin is highly negatively charged, it binds in a pentasaccharide-independent fashion to a variety of plasma proteins (including histidine-rich glycoprotein, vitronectin, lipoproteins, fibronectin, and fibrinogen) and to proteins secreted by platelets (platelet factor 4 [PF4] and high-molecular-weight von Willebrand factor) and endothelial cells (high-molecular-weight von Willebrand factor). 2 Some heparin-binding proteins are acute-phase reactants, the levels of which are elevated in sick patients.4 In addition, during the clotting process, PF4 and von Willebrand factor are released from platelets and endothelial cells, respectively. The variability in plasma levels of heparin-binding proteins in patients with thromboembolic diseases4 is responsible for both the unpredictable anticoagulant response to UFH4 and the very high heparin requirements in some of these patients (heparin resistance). 5 ### Biophysical Limitations The biophysical limitations of heparin reflect the inability of the heparin-antithrombin complex to inactivate thrombin-bound to fibrin6 and factor Xa bound to phospholipid surfaces within the prothrombinase complex.7 The inability of heparin to inactivate surface-bound thrombin and factor Xa may explain why heparin is of only limited efficacy in unstable angina, high-risk coronary angioplasty, and coronary thrombolysis. …
Friction compensation, gain scheduling and curvature control for a flexible parallel kinematics robot

For a parallel manipulator with a kinematic loop and a highly flexible link, a comprehensive control approach including friction compensation for the drive train, gain scheduling and active oscillation damping is considered. Friction compensation based on the Stribeck as well as the LuGre models and gain scheduling are used to improve the position control. A curvature controller, which is based on a nonlinear flexible multibody system and on an accurate position control, actively damps the oscillations of the parallel manipulator. First experimental results are presented to confirm the utility of the implemented concepts.
Malicious JavaScript Detection by Features Extraction

In recent years, JavaScript-based attacks have become one of the most common and successful types of attack. Existing techniques for detecting malicious JavaScripts could fail for dierent reasons. Some techniques are tailored on specific kinds of attacks, and are ineective for others. Some other techniques require costly computational resources to be implemented. Other techniques could be circumvented with evasion methods. This paper proposes a method for detecting malicious JavaScript code based on five features that capture dierent characteristics of a script: execution time, external referenced domains and calls to JavaScript functions. Mixing dierent types of features could result in a more eective detection technique, and overcome the limitations of existing tools created for identifying malicious JavaScript. The experimentation carried out suggests that a combination of these features is able to successfully detect malicious JavaScript code (in the best cases we obtained a precision of 0.979 and a recall of 0.978).
Multi-Vehicle Flight Experiments: Recent Results and Future Directions

Abstract : This paper discusses recent flight test results in the Aerospace Controls Laboratory (ACL) at MIT. This includes flight tests using a large team of simple external UAVs and a unique indoor multi-vehicle testbed named RAVEN (Real-time Autonomous Vehicle indoor test Environment). RAVEN is comprised of both aerial and ground vehicles, allowing researchers to conduct tests for a wide variety of long-duration mission scenarios in a controlled environment. A comparison of RAVEN with previous testbeds illustrates the many advantages of this new approach.
CC-LR: providing interactive, challenging and attractive Collaborative Complex Learning Resources

Many researchers argue that students must be meaningfully engaged in the learning resources for effective learning to occur. However, current online learners still report a problematic lack of attractive and challenging learning resources that engage them in the learning process. This endemic problem is even more evident in online collaborative learning approaches whose resources lack of authentic interactivity, user empowerment, social identity and challenge, thus having a negative effect on learners' self-motivation and engagement. To overcome these and other limitations and deficiencies, in this paper, a new type of learning resource named Collaborative Complex Learning Resources (CC–LR) is presented based on the virtualization of collaborative learning with the aim of leveraging knowledge elicited during live sessions. During the CC–LR execution, the collaborative sessions are animated so learners can observe how avatars discuss and collaborate, how discussion threads grow and how knowledge is been constructed, refined and consolidated. In addition, complex aspects of the learning process can be incorporated in the CC–LRs during their creation, such as cognitive assessment and emotional awareness. The system produced from this research is tested to evaluate the CC-LR enriched with complex information and analyze its effects in the discussion process. The research reported in this paper was undertaken within the Seventh Framework Programme (FP7) European project called ‘Adaptive Learning via Intuitive/Interactive, Collaborative and Emotional systems’.
European Conference on Information Systems ( ECIS ) 2005 Service Oriented IT Management : Benefit , Cost and Success Factors

Due to an enhanced customer focus in the planning, development and delivery of IT services, service-oriented IT management has become increasingly important. This paper investigates to what effect service-oriented IT management has already been put into place in European companies. Benefit and cost categories of integrating service-oriented principles into IT management processes are analyzed. Additionally success factors for implementing serviceoriented IT management are investigated. For this purpose, six case studies were conducted. The situation of IT management before and after implementation was analyzed and comments are made on the corresponding transformation projects. Based on the case studies, this paper shows three typical benefit categories of service-oriented IT management. Eight cost categories for implementing and operating service-oriented IT management processes are discussed and six success factors of pertinent re-organization projects are identified. Findings can serve as guidelines for other IT organizations and can be used as enabler for getting informed decisions regarding the initiation of service-oriented IT management. Finally, the article highlights four current trends for service-oriented IT management and further research is outlined.
REDUCED-ORDER MODELING OF BURGERS EQUATIONS BASED ON CENTROIDAL VORONOI TESSELLATION

In this paper, we study a reduced-order modeling for Burgers equations. Review of the CVT(centroidal Voronoi tessellation) approaches to reduced-order bases are provided. In CVT-reduced order modelling, we start with a snapshot set just as is done in a POD(Proper Orthogonal Decomposition)based setting. We shall investigate the technique of CVT as a procedure to determine the basis elements for the approximating subspaces. Some numerical experiments including comparison of CVT-based algorithm with numerical results obtained from FEM(finite element method) and POD-based algorithm are reported. Finally, we apply CVT-based reduced order modeling technique to a feedback control problem for Burgers equation.
Improving Decision Quality Through Preference Relaxation

In online shopping scenarios, it can be difficult for consumers to process the vast amounts of information available and to make satisfactory buying decisions. Interactive decision aids are a potential solution to this problem. However, decision aids that filter a very large set of alternatives based on initial preferences may eliminate potentially valuable alternatives early in the decision process and possibly negatively impact decision quality. To address this issue we introduce a new kind of decision aid that enables consumers to consider high-quality alternatives they initially eliminated. We develop a model of such a decision aid and evaluate it on a set of 2650 car advertisements gathered from popular used car advertiser website. We discuss the potential impact of our decision aid on decision quality and consideration sets parameters, and give an overview of implications of our study for practitioners and researchers.
Harissa: A Flexible and Efficient Java Environment Mixing Bytecode and Compiled Code

The Java language provides a promising solution to the design of safe programs, with an application spectrum ranging from Web services to operating system components. The well-known tradeoff of Java's portability is the inefficiency of its basic execution model, which relies on the interpretation of an object-based virtual machine. Many solutions have been proposed to overcome this problem, such as just-in-time (JIT) and off-line bytecode compilers. However, most compilers trade efficiency for either portability or the ability to dynamically load bytecode. In this paper, we present an approach which reconciles portability and efficiency, and preserves the ability to dynamically load bytecode. We have designed and implemented an efficient environment for the execution of Java programs, named Harissa. Harissa permits the mixing of compiled and interpreted methods. Harissa's compiler translates Java bytecode to C, incorporating aggressive optimizations such as virtual-method call optimization based on the Class Hierarchy Analysis. To evaluate the performance of Harissa, we have conducted an extensive experimental study aimed at comparing the various existing alternatives to execute Java programs. The C code produced by Harissa's compiler is more efficient than all other alternative ways of executing Java programs (that were available to us): it is up to 140 times faster than the JDK interpreter, up to 13 times faster than the Softway Guava JIT, and 30% faster than the Toba bytecode to C compiler.
Characterization of a Hemophore-like Protein from Porphyromonas gingivalis*

The porphyrin auxotrophic pathogen Porphyromonas gingivalis obtains the majority of essential iron and porphyrin from host hemoproteins. To achieve this, the organism expresses outer membrane gingipains containing cysteine proteinase domains linked to hemagglutinin domains. Heme mobilized in this way is taken up by P. gingivalis through a variety of potential portals where HmuY/HmuR of the hmu locus are best described. These receptors have relatively low binding affinities for heme. In this report, we describe a novel P. gingivalis protein, HusA, the product of PG2227, which rapidly bound heme with a high binding constant at equilibrium of 7 × 10−10 m. HusA is both expressed on the outer membrane and released from the organism. Spectral analysis indicated an unusual pattern of binding where heme was ligated preferentially as a dimer. Further, the presence of dimeric heme induced protein dimer formation. Deletional inactivation of husA showed that expression of this moiety was essential for growth of P. gingivalis under conditions of heme limitation. This finding was in accord with the pronounced increase in gene expression levels for husA with progressive reduction of heme supplementation. Antibodies reactive against HusA were detected in patients with chronic periodontitis, suggesting that the protein is expressed during the course of infection by P. gingivalis. It is predicted that HusA efficiently sequesters heme from gingipains and fulfills the function of a high affinity hemophore-like protein to meet the heme requirement for growth of P. gingivalis during establishment of infection.
The zebrafish mutant gene chardonnay encodes Divalent Metal Transporter 1 ( DMT 1 )

Iron is an essential nutrient required for the function of all cells, most notably for the production of hemoglobin in red blood cells. Defects in the mechanisms of iron absorption, storage and/or utilization can lead to disorders of iron-limited erythropoiesis or iron overload. In an effort to further understand these processes we have employed the zebrafish as a genetic system to study vertebrate iron metabolism. Here we characterized the phenotype of chardonnay, a zebrafish mutant with hypochromic, microcytic anemia, and positioned the mutant gene on linkage group 11. The chardonnay gene was isolated by a functional genomics approach in which we employed a combination of expression studies, sequence analyses and radiation hybrid panel mapping. We identified erythroid-specific genes using a whole embryo mRNA in-situ hybridization screen and placed these genes on the zebrafish genomic map. One of these genes encoded the iron transporter DMT1 and co-localized with the chardonnay gene. We identified a nonsense mutation in the chardonnay allele and demonstrated that, while wildtype zebrafish DMT1 protein can transport iron, the truncated protein expressed in chardonnay mutants is not functional. Our studies further demonstrate the conservation of iron metabolism in vertebrates and suggest the existence of an alternative pathway of intestinal and red blood cell iron uptake. only. For personal use at PENN STATE UNIVERSITY on February 21, 2013. bloodjournal.hematologylibrary. org From
The Power of Expectations in School Management: Pygmalion Effect

This study aims to discover the pygmalion effect, which suggests to affect a person's expectations from other people on the actions of those people, by taking the opinions of primary school teachers. In order for the study to reach its goal, triangulation technique, which is a mixed method design, has been used. A likert-type five-point scale made up of 18 items and a semi-structured interview form comprising two open-ended questions have been used to acquire data. The scale has applied to take the opinions of teachers working at the schools administered by 25 managers mastering in a postgraduate program without thesis at the Education Management Inspection Planning and Economy Department of Firat University Institute of Education Sciences. The quantitative and qualitative data acquired have been analyzed by means of statistical softwares. It has been concluded from the findings acquired from teachers’ views reveal the reality and accuracy of pygmalion effect in the field of education, and show that high expectations pave the way for teachers’ motivation, effort, active working, commitment as well as the growth of their enthusiasm. It is seen that high expectations will generally reveal high performance, while low expectations, due to their negative effects on employees, will cause decrease in motivation as well as unwillingness towards the job being done and therefore, a decline or stability in performance.
Delimiting Morphosyntactic Search Space with Source-Side Reordering Models

Source-side reordering has recently seen a surge in popularity in machine translation research, often providing enormous reductions in translation time and showing good empirical results in translation quality. For many language pairs, however—especially for translation into morphologically rich languages—the assumptions of these models may be too crude. But while such language pairs call for more complex models, these could increase the search space to an extent that would diminish their beneﬁts. In this paper, we examine the question whether purely syntax-oriented adaptation models (i.e., models only considering word order) can be used as a means to delimit the search space for more complex morphosyntactic models. We propose a model based on a popular preordering algorithm (Lerner and Petrov, 2013). This novel preordering model is able to produce both n -best word order predictions as well as distributions over possible word order choices in the form of a lattice and is therefore a good ﬁt for use by richer models taking into account aspects of both syntax and morphology. We show that the integration of non-local language model features can be beneﬁcial for the model’s preordering quality and evaluate the space of potential word order choices the model produces.
Development of a Miniaturized Fiber-optic LDV Sensor for Local Blood Velocity Measurement

131 DOI: 10.5963/BER0203002 Development of a Miniaturized Fiber-optic LDV Sensor for Local Blood Velocity Measurement Local Velocity and Flow Profile Measurement of Pulsatile Blood Flow Modeled in Humans Shimpei Kohri, Tsutomu Tajikawa, Kenkichi Ohba Department of Medical Engineering, Aino University 4-5-4, Higashiohda, Ibaraki city, Osaka 567-0012 Japan Department of Mechanical Engineering, Kansai University, 3-3-35 Yamate-cho, Suita-shi, Osaka 564-8680 Japan s-kohri@me-u.aino. ac.jp
The utility of different representations of protein sequence for predicting functional class

MOTIVATION Data Mining Prediction (DMP) is a novel approach to predicting protein functional class from sequence. DMP works even in the absence of a homologous protein of known function. We investigate the utility of different ways of representing protein sequence in DMP (residue frequencies, phylogeny, predicted structure) using the Escherichia coli genome as a model. RESULTS Using the different representations DMP learnt prediction rules that were more accurate than default at every level of function using every type of representation. The most effective way to represent sequence was using phylogeny (75% accuracy and 13% coverage of unassigned ORFs at the most general level of function: 69% accuracy and 7% coverage at the most detailed). We tested different methods for combining predictions from the different types of representation. These improved both the accuracy and coverage of predictions, e.g. 40% of all unassigned ORFs could be predicted at an estimated accuracy of 60% and 5% of unassigned ORFs could be predicted at an estimated accuracy of 86%.
Anchoring a Plant Cytochrome P450 via PsaM to the Thylakoids in Synechococcus sp. PCC 7002: Evidence for Light-Driven Biosynthesis

Plants produce an immense variety of specialized metabolites, many of which are of high value as their bioactive properties make them useful as for instance pharmaceuticals. The compounds are often produced at low levels in the plant, and due to their complex structures, chemical synthesis may not be feasible. Here, we take advantage of the reducing equivalents generated in photosynthesis in developing an approach for producing plant bioactive natural compounds in a photosynthetic microorganism by functionally coupling a biosynthetic enzyme to photosystem I. This enables driving of the enzymatic reactions with electrons extracted from the photosynthetic electron transport chain. As a proof of concept, we have genetically fused the soluble catalytic domain of the cytochrome P450 CYP79A1, originating from the endoplasmic reticulum membranes of Sorghum bicolor, to a photosystem I subunit in the cyanobacterium Synechococcus sp. PCC 7002, thereby targeting it to the thylakoids. The engineered enzyme showed light-driven activity both in vivo and in vitro, demonstrating the possibility to achieve light-driven biosynthesis of high-value plant specialized metabolites in cyanobacteria.
Examining the Relationships between Secondary General Education Teachers' Attitudes toward Inclusion, Professional Development, and Support from Special Education Personnel

This correlational research study examined the rela tionships between secondary general education teachers’ attitudes toward inclusion, hou rs f professional development in topics related to special education and hours of support f r m special education personnel addressing the needs of students with disabilities received weekly . The research also investigated whether this information could be used to predict secondary gene ral education teachers’ attitudes towards inclusion. General education teachers in six South Carolina high schools completed the Scale of Teacher Attitudes Toward Inclusive Classrooms (STAT IC) and a demographic survey that asked about hours of professional development in special ducation topics and hours of support received weekly from special education personnel an d administrators regarding students with disabilities. Correlational and regression analyse s w re conducted to determine the strength and direction of relationships, as well as the predicti ve nature of the data to determine secondary general education teachers’ attitudes toward inclus ion. Results indicated statistically significant positive correlations between variables, with a sli ght y stronger correlation when hours of professional development and hours of support were considered together. These findings suggest that additional training and support for te ach rs in inclusive classrooms may lead to more positive attitudes toward the concept of inclu sion, ultimately improving learning outcomes for students with disabilities.