Miracle-dz/UniFAR-FTUs huggingface dataset:
Model-driven web engineering methods: a literature review

This paper presents some of the model-driven Web engineering methods that have been proposed, and discusses and analyzes the advantages and disadvantages of such methods regarding current tendencies and best practices on model-driven engineering. The idea is to present each approach and analyze the models they propose to represent Web applications, the architectural aspects in the transformations, and the use of current Web user interface technologies in the generated code. This is done in order to depict possible research lines for future works on the model-driven Web engineering area.
Trabajo Flexible: Conceptualización y Estado del Arte del Constructo

espanolEl objetivo del presente trabajo fue realizar una puesta al dia sobre la teoria e investigacion en trabajo flexible, con miras a reflejar el estado actual de los estudios sobre el tema. El metodo empleado consistio en la busqueda de articulos cientificos, a texto completo, de los ultimos 10 anos (desde finales de 2005 a comienzos de 2016) en revistas indizadas. Los principales resultados indican que el trabajo flexible se asocia con variables esenciales tanto a nivel organizacional como individual. La relevancia de los hallazgos da cuenta que, a pesar de los beneficios aparentes de implementar este tipo de acuerdos laborales, aun se encuentran ciertas barreras para hacerlo. Entre las limitaciones de esta revision se encuentran las derivadas del posible sesgo de seleccion introducido por los criterios de inclusion definidos, vale decir, el hecho de considerar exclusivamente textos completos de acceso abierto y la inclusion mayoritaria de estudios en ingles. Se realizan algunas sugerencias para futuras investigaciones. EnglishThe objective of the present study was to make an update of the theory and investigation over flexible work, in order to show his actual state the art. The method employed consisted in the research of scientific papers from index journals published in the pasts 10 years (from late-2005 to early-2016). The main results shows that flexible work is associated with relevant organizational and individual variables. This findings demonstrate that, in spite of the benefits of implementing flexible work options, there still are some barriers to do it. The limitations of this revision came from biases in the selection of the articles, the exclusive use of open access full text papers and the inclusion of mostly English studies. Finally, some suggestion for future investigations are made.
Muscarinic Receptors and Their Antagonists in COPD: Anti-Inflammatory and Antiremodeling Effects

Muscarinic receptors are expressed by most cell types and mediate cellular signaling of their natural ligand acetylcholine. Thereby, they control numerous central and peripheral physiological organ responses to neuronal activity. In the human lung, muscarinic receptors are predominantly expressed by smooth muscle cells, epithelial cells, and fibroblasts. Antimuscarinic agents are used for the treatment of chronic obstructive pulmonary disease and to a lesser extent for asthma. They are primarily used as bronchodilators, but it is now accepted that they are also associated with anti-inflammatory, antiproliferative, and antiremodeling effects. Remodeling of the small airways is a major pathology in COPD and impairs lung function through changes of the extracellular matrix. Glycosaminoglycans, particularly hyaluronic acid, and matrix metalloproteases are among extracellular matrix molecules that have been associated with tissue inflammation and remodeling in lung diseases, including chronic obstructive pulmonary disease and asthma. Since muscarinic receptors have been shown to influence the homeostasis of glycosaminoglycans and matrix metalloproteases, these molecules may be proved valuable endpoint targets in clinical studies for the pharmacological exploitation of the anti-inflammatory and antiremodeling effects of muscarinic inhibitors in the treatment of chronic obstructive pulmonary disease and asthma.
General agent-based architecture for collaborative dialogue management

In this paper, we focus on our agent-based approach to task-oriented dialogue management. We present our deliberation process based on optimizing the length of dialogue. As an uncommon feature, the manager accommodates a two-layered structure for representing the dialogue context, i.e., user's intentions detection and beliefs management. At the end of the paper, we suggest future extensions to the architecture.
Paradigms in Fault Tolerant Checkpointing Protocols in Distributed Mobile Systems

Distributed mobile systems are ubiquitous now-a-days. These systems are important building blocks and are useful for constructing efficient protocols for client - server systems, transaction processing, web applications, and scientific computing [5,11]. Distributed mobile systems are not fault tolerant. They introduce new challenges in the area of fault tolerant computing. The vast computing potential of these systems is often hampered by their susceptibility to failures. Mobile computing highlights many issues, such as lower throughput and latency, low bandwidth of wireless channels, lack of stable storage on mobile hosts, connection breakdowns and inadequate battery life that make the classical check-pointing protocols incongruous. Many techniques like group communication, transactions and rollback recovery have been developed to add reliability to such systems [12]. This paper surveys the algorithms which will restore the system back to a consistent state after a failure.
On the lecture : ” When chaos theory meets other disciplines ”

”The mathematics of low dimensional chaos theory is now over 100 years old. The subject got a popularity boost about 30 years ago when personal computers became widely available. While the field has lost some of its fancy, it has inspired and influenced other disciplines both in mathematics and beyond. This took place not only because of the beautiful results which were achieved but also because it became a prototype where a fresh point of view invigorated a mathematical field, excited the general public and inspired other scientific areas. In this highly illustrated and accessible talk, we take a pedestrian walk through some examples and see how the subject has inspired other disciplines. We will see examples from mathematical fields like geometry or number theory, wave motion physics, celestial dynamics in astronomy and mathematical areas like population dynamics in sociology, financial predictions in economics, music, visual art or film. The story is an example on how crossing scientific boundaries has boosted the creativity on both sides. ”
A framework for tourist recommendation system exploiting geo-tagged photos

Tourist recommendation system are aimed at supporting the critical travel planning decisions the tourist face before starting the trip or on the course of travel. Users desire more efficient ways to find tourism recommendations which can save time and efforts. Geo-tagged photos on social media sites such as lickr provide plentiful location based data. Recently, there is an increased tendency to utilize the information contained in these geo-tagged photos for tourist recommendations. In this paper, we have proposed a framework for tourist recommendation. The proposed approach involves mining significant tourist locations and provide trip model based on the geo-tagged photos of users on social media sites.
ROTATION , SCALE AND TRANSLATION-INVARIANT SEGMENTATION-FREE SHAPE RECOGNITION

In this paper, we propose a RST-invariant (Rotation, Scale, Translation) segmentation-free shape recognition method. Most of the existing shape recognition techniques require segmentation before extracting shape features and recognizing it. Unfortunately, segmentation is usually prone to error and segmentation errors produce recognition errors. The proposed technique is based on circular and radial sampling spaces, two 3D spaces built by projecting the analyzed image on circles and radial lines. First, we demonstrate the robustness of the technique in one-scale RT-invariant shape recognition for noisy binary images. We also show that the technique can categorize similar shapes into classes. Then, we make the technique to become invariant to scale. Finally, we demonstrate how the technique can recognize shapes in noisy grayscale images with inconstant background. We demonstrate that, under certain assumptions, the technique is 100% accurate.
Organising the Purchasing Function as an Interface between Internal and External Networks

During recent years, increasing specialisation and complex market structures have made companies divide their purchasing functions into several organisational units to cope with increasingly diversified demands on linking the internal operations within the firm with operations at their suppliers. In this paper, we focus on organising of the purchasing function as an interface between internal and external counterparts. We suggest a framework focusing on how the purchasing function works as an interface between the firm’s suppliers and (other) firm internal functions, such as production, product development and marketing. The framework builds on two dimensions; one that describes how the purchasing function of a firm relates to other internal functions and one describing how it relates to suppliers. The purchasing situations described by the framework are illustrated with some examples. Also, the ways in which the organising principles can be aligned to purchasing strategies are discussed. We conclude with some possible avenues for further research to explore the insights the framework may generate.
The Role of Ability in the Selection of Majors

The current study examined the extent to which ability provides incremental validity to the prediction of major choice beyond what is predicted by measures of personality, self-efficacy, and interests. College students at a large, Midwestern university completed the Ability Profiler after which they completed personality, self-efficacy, and interest measures. Through multinomial logistical regression analyses, ability was found to add some incremental validity (1.5% increase in variance explained), when combined with personality, interest, and self-efficacy measures, to the prediction of major choice. Interests and self-efficacy served as impactful predictors, with personality contributing some influence. This finding illustrates that career counselors should continue to assess clients’ interests and self-efficacy when helping them make career decisions. Additional research should be conducted to assess the utility of other ability measures in the career counseling process.
Timing and Location of Brain Areas Involved in Cognitive Theory of Mind in Children with Autism Spectrum Disorder

Cognitive theory of mind (ToM), or the ability to recognize the different mental states of others, is a social cognitive skill that is often impaired in children with autism spectrum disorder (ASD). This study enriches our understanding of ToM in ASD by using magnetoencephalography (MEG) to determine the temporal properties of brain regions active during a false belief task, a domain that has not been explored in this field, and yet is a significant component of brain activity. We found that whereas typically-developing children activate familiar ToM regions, such as the precuneus and the left temporoparietal junction, children with ASD appear to rely more on working memory and inhibition regions, such as the right dorsal temporoparietal junction and the right inferior frontal gyrus. This atypical activation suggests that children with ASD make use of alternative strategies to compensate for their deficits in ToM.
Cooperative Learning for Bilingual Students: A Case Study of a CIRC Implementation.

A stud* investigated the effectiveness of a Cooperative Integrated Reading and Composition (CIRC) program in an elementary school bilingual classroom with exclusively Mexican-American students (n=35). Because cooperative learning strategies are based on peer interaction and participants contributing to the common goal, the videotaped interactions of four male students during the daily (four days a week) use of CIRC were analyzed to infer and identify teaching and learning strategies that might explain student skill acquisition during CIRC activities. The teaching strategies included were modeling, contingency management, providing feedback, instructing, questioning, and cognitive structuring. The interactions between the two high-reading ability students changed over time; interaction decreased in quantity, aad the students stopped being actively engaged in answering questions and often worked on different questions. Interactions between the lower-reading-ability pair were much more frequent, involved much monitoring and active negotiation of answers, and were characterized by assistance-seeking from a teacher-aide. Both dyads used most of the strategies investigated. It is concluded that more than assisted performance theory is needed to guide analysis of student interactions, because the approach used here fs too limited. A 15-item bibliography is included. (MSE) ****************************************************A****************** Reproductions supplied by EDRS are the best that can be made from the original document. ******* ***** *********************************************************** "PERMISSION TO REPRODUCE THIS MATERIAL HAS BEEN GRANTED BY CrsitC), TO THE EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC). " DAL DEPARTMENT OF EDUCATION Mee Echcahonsi Ressarch and Improvement EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC' documunt has boon reoroduceo as recihsod Irom the Person or organashon ohisrtabog "Nr, Cnan91111 hays bow NM* Io ohorove moroductron nosily Poems Of 1110111 or oporhons Mier! fl thrs 00cu Men! 00 not n0005641,14 retuftent 011/4,ipt OE RI posttron or ocher Cooperative Learning for Bilingual Students: A Case Study of a CIRC Implementation Patricia Prado-Olmos Reyna G. Garcia Richard P. Durin Round Table Presentation American Education Research Association April 6, 1991
The Effect of Frustration and Boredom on Self-Harming Behaviour

Despite the increasing attention on self-harming behaviour, research lacks evidence-based understanding of factors that can influence or cause this phenomenon. This study focuses on the influence of boredom and frustration on self-harming behaviour. This was done by measuring the amount and intensity of self-administered electrical stimulation amongst 63 undergraduate psychology students. Frustration was manipulated with an unsolvable computer task and boredom with a movie. Participants in the frustration condition were expected to harm themselves more intensely, whereas participants in the boring condition were expected to harm themselves more frequently. For the induced boredom, there was an effect on the frequency of self-harming behaviour. However, the frustration manipulation demonstrated no effect on either intensity or frequency of self-harming behaviour by the participants. We argue that the effects of the induced frustration did not last long enough to have an effect on the later self-harming.
A PAPR Reduction Method Based on Differential Evolution

High peak-to-average ratio power (PAPR) is a critical practical problem for an OFDM system. Many techniques, such as clipping and filtering (ICF), cognitive clipping, have been proposed to deal with the issue. However, it needs to determine the relationship between error vector magnitude (EVM) and clipping ratio (CR). In this paper, we formulate a universal PAPR optimization model with EVM constraint, and propose a differential evolution (DE) algorithm with a time complexity of 2 ( log ) O N N . The optimization parameter of the new approach is clipping noise. The EVM constraint guarantees proper receiver operation that is specified by most modern communication standards. The proposed DE algorithm employs the noise vector as the population. It adjusts three crucial control parameters to minimize cost function which is the amount of PAPR reduction. Simulation results show that our proposed method can offer good performance in PAPR and bit error rate (BER).
A Study on Reducing Chunk Scheduling Delay for Mesh-Based P2P Live Streaming

P2P streaming services have been gaining much success in recent years. In this paper, we address the design of chunk scheduling algorithm which achieves low delay for chunk distribution. We propose a distributed priority-based chunk scheduling algorithm (DPC algorithm). The proposed scheme can approach the minimum delay bound in homogeneous environment. We also extend our DPC algorithm to a general heterogeneous case where peers have different upload bandwidth. Simulation results show the priority-base chunk scheduling algorithm performs close to the theoretical bound, and suits continuity requirement of P2P streaming application.
Kinematic and Dynamic Analysis of A Surgical Tool Manipulator Towards Robotic Surgery

Robotic surgery reduces the amount of tissues that are damaged during a surgical procedure, thereby reducing the patient recovery time, discomfort and deleterious side effect such as infection. In this article, kinematic and dynamic analysis of a surgical tool manipulator is carried out to perform the desired range of motions for a typical minimal invasive surgical operation. The manipulator having 3 DOF is driven by D.C. servomotors and motion is transmitted through wires/cables pivoted to driving shaft at one end and to the gripper on the other end. Kinematics analysis is done by utilizing the D-H parameters as well as through ADAMS software. The position, orientation and workspace of gripper (end-effector) are calculated analytically using D-H parameters and transformation matrix. Keywords— Minimal invasive surgery; Robotics; Surgical Tool Manipulator; Kinematics; Workspace
Improvement of frequency standards with quantum entanglement

The optimal precision of frequency measurements in the presence of decoherence is discussed. We analyze different preparations of n two-level systems as well as different measurement procedures. We show that standard Ramsey spectroscopy on uncorrelated atoms and optimal measurements on maximally entangled states provide the same resolution. The best resolution is achieved using partially entangled preparations with a high degree of symmetry. [S0031-9007(97)04541-9] PACS numbers: 42.50. Ar, 03.65. Bz The rapid development of laser cooling and trapping techniques has opened up new perspectives in high precision spectroscopy. Frequency standards based on laser cooled ions are expected to achieve accuracies of the order of 1 part in 10 14 10 18 [1]. In this Letter we discuss the limits to the maximum precision achievable in the spectroscopy of n two-level atoms in the presence of decoherence. This question is particularly timely in view of current efforts to improve high precision spectroscopy by means of quantum entanglement. In the present context standard Ramsey spectroscopy refers to the situation schematically depicted in Fig. 1. An ion trap is loaded with n ions initially prepared in the same internal state j0l. A Ramsey pulse of frequency v is applied to all ions. The pulse shape and duration are carefully chosen so that it drives the atomic transition j0l $j 1 lof natural frequency v0 and prepares an equally weighted superposition of the two internal states j0l and j1l for each ion. Next the system evolves freely for a time t followed by the second Ramsey pulse. Finally, the internal state of each particle is measured. Provided that the duration of the Ramsey pulses is much smaller than the free evolution time t, the probability that an ion is found in j1l is given by
Partial Matching by Structural Descriptors

The extended abstract describes a method for recognizing similar sub-parts of objects described by 3D polygonal meshes. The in- novation of this method is the coupling of structure and geometry in the matching process. First of all, the structure of the shape is coded in a graph where each node is associated to a sub-part of the shape. Then, the matching between two shapes is approached using a graph-matching technique relying upon a geometric description of each sub-part.
Novel Agents Targeting the IGF-1R/PI3K Pathway Impair Cell Proliferation and Survival in Subsets of Medulloblastoma and Neuroblastoma

The receptor tyrosine kinase (RTK)/phosphoinositide 3-kinase (PI3K) pathway is fundamental for cancer cell proliferation and is known to be frequently altered and activated in neoplasia, including embryonal tumors. Based on the high frequency of alterations, targeting components of the PI3K signaling pathway is considered to be a promising therapeutic approach for cancer treatment. Here, we have investigated the potential of targeting the axis of the insulin-like growth factor-1 receptor (IGF-1R) and PI3K signaling in two common cancers of childhood: neuroblastoma, the most common extracranial tumor in children and medulloblastoma, the most frequent malignant childhood brain tumor. By treating neuroblastoma and medulloblastoma cells with R1507, a specific humanized monoclonal antibody against the IGF-1R, we could observe cell line-specific responses and in some cases a strong decrease in cell proliferation. In contrast, targeting the PI3K p110α with the specific inhibitor PIK75 resulted in broad anti-proliferative effects in a panel of neuro- and medulloblastoma cell lines. Additionally, sensitization to commonly used chemotherapeutic agents occurred in neuroblastoma cells upon treatment with R1507 or PIK75. Furthermore, by studying the expression and phosphorylation state of IGF-1R/PI3K downstream signaling targets we found down-regulated signaling pathway activation. In addition, apoptosis occurred in embryonal tumor cells after treatment with PIK75 or R1507. Together, our studies demonstrate the potential of targeting the IGF-1R/PI3K signaling axis in embryonal tumors. Hopefully, this knowledge will contribute to the development of urgently required new targeted therapies for embryonal tumors.
Fireflies: scalable support for intrusion-tolerant network overlays

This paper describes and evaluates Fireflies, a scalable protocol for supporting intrusion-tolerant network overlays. While such a protocol cannot distinguish Byzantine nodes from correct nodes in general, Fireflies provides correct nodes with a reasonably current view of which nodes are live, as well as a pseudo-random mesh for communication. The amount of data sent by correct nodes grows linearly with the aggregate rate of failures and recoveries, even if provoked by Byzantine nodes. The set of correct nodes form a connected submesh; correct nodes cannot be eclipsed by Byzantine nodes. Fireflies is deployed and evaluated on PlanetLab.
A hippocampal model for episodic memory using neurogenesis and asymmetric STDP

Our memory is first acquired as memory of a personal event (episodic memory). Then, its temporal context is removed and the resultant memory is used in higher-order information processing, such as thinking, reasoning and so on. Therefore, episodic memory is the basis of our memories. In this paper, we propose an episodic memory model which adopts the physiological findings of the hippocampus. Episodic memory can be regarded as a temporal sequence of patterns. In general, such a sequence may have some patterns which appear several times in it, or plural temporal sequences may share some same patterns with each other. That is, it is indispensable for the episodic memory model to handle one-to-many association and context. In the proposed model, the neurogenesis in dentate gyrus (DG) contributes to build different representations in CA3 for the same input patterns, and facilitates one-to-many association. Moreover, the asymmetric spike timing dependent synaptic plasticity introduced to the learning of recurrent collateral in CA3 enables memory of context. Computer simulation results show that the proposed model can deal with complex temporal sequences.