Miracle-dz/UniFAR-FTUs huggingface dataset:
Position control of pneumatic actuator using sliding mode control in conjunction with Robust Exact Differentiator

In this paper a sliding mode control law is developed based on reduced order mathematical model of the pneumatic actuator for fast, accurate and inexpensive system with excellent tracking performance. Only one sensor, potentiometer is used thereby making the system very inexpensive. Application of Robust Exact Differentiator (Levant differentiator) is utilized for deriving the information of two states very accurately without any noise, velocity and acceleration respectively, which resulted in accurate control action. The advantages of sliding mode control, in tackling with uncertainties are exhibited by different weights as pay load to the system. The experimental results obtained are of superior quality compared to the previous works.
Cortical filamentous actin disassembly and scinderin redistribution during chromaffin cell stimulation precede exocytosis, a phenomenon not exhibited by gelsolin

Immunofluorescence and cytochemical studies have demonstrated that filamentous actin is mainly localized in the cortical surface of the chromaffin cell. It has been suggested that these actin filament networks act as a barrier to the secretory granules, impeding their contact with the plasma membrane. Stimulation of chromaffin cells produces a disassembly of actin filament networks, implying the removal of the barrier. The presence of gelsolin and scinderin, two Ca(2+)- dependent actin filament severing proteins, in the cortical surface of the chromaffin cells, suggests the possibility that cell stimulation brings about activation of one or more actin filament severing proteins with the consequent disruption of actin networks. Therefore, biochemical studies and fluorescence microscopy experiments with scinderin and gelsolin antibodies and rhodamine-phalloidin, a probe for filamentous actin, were performed in cultured chromaffin cells to study the distribution of scinderin, gelsolin, and filamentous actin during cell stimulation and to correlate the possible changes with catecholamine secretion. Here we report that during nicotinic stimulation or K(+)-evoked depolarization, subcortical scinderin but not gelsolin is redistributed and that this redistribution precedes catecholamine secretion. The rearrangement of scinderin in patches is mediated by nicotinic receptors. Cell stimulation produces similar patterns of distribution of scinderin and filamentous actin. However, after the removal of the stimulus, the recovery of scinderin cortical pattern of distribution is faster than F-actin reassembly, suggesting that scinderin is bound in the cortical region of the cell to a component other than F-actin. We also demonstrate that peripheral actin filament disassembly and subplasmalemmal scinderin redistribution are calcium-dependent events. Moreover, experiments with an antibody against dopamine-beta-hydroxylase suggest that exocytosis sites are preferentially localized to areas of F-actin disassembly.
A New Combinatorial Optimization Approach for Integrated Feature Selection Using Different Datasets: A Prostate Cancer Transcriptomic Study

Background The joint study of multiple datasets has become a common technique for increasing statistical power in detecting biomarkers obtained from smaller studies. The approach generally followed is based on the fact that as the total number of samples increases, we expect to have greater power to detect associations of interest. This methodology has been applied to genome-wide association and transcriptomic studies due to the availability of datasets in the public domain. While this approach is well established in biostatistics, the introduction of new combinatorial optimization models to address this issue has not been explored in depth. In this study, we introduce a new model for the integration of multiple datasets and we show its application in transcriptomics. Methods We propose a new combinatorial optimization problem that addresses the core issue of biomarker detection in integrated datasets. Optimal solutions for this model deliver a feature selection from a panel of prospective biomarkers. The model we propose is a generalised version of the (α,β)-k-Feature Set problem. We illustrate the performance of this new methodology via a challenging meta-analysis task involving six prostate cancer microarray datasets. The results are then compared to the popular RankProd meta-analysis tool and to what can be obtained by analysing the individual datasets by statistical and combinatorial methods alone. Results Application of the integrated method resulted in a more informative signature than the rank-based meta-analysis or individual dataset results, and overcomes problems arising from real world datasets. The set of genes identified is highly significant in the context of prostate cancer. The method used does not rely on homogenisation or transformation of values to a common scale, and at the same time is able to capture markers associated with subgroups of the disease.
Feedback design for 3D movement of an Eel-like robot

This paper relates recent advances in the design of feedback laws for the 3D movement of an Eel-like robot. Such a robot is under construction in the context of a national French robotic project. The proposed feedback enables the tracking of a desired 3D position of the Eel head as well as the stabilization of the rolling angle. A velocity controller is also proposed. The controller is tested on a recently developed complete 3D model in order to assess its efficiency in tackling 3D manoeuvres.
The Ubiquitin Isopeptidase UBPY Regulates Endosomal Ubiquitin Dynamics and Is Essential for Receptor Down-regulation*

UBPY is a ubiquitin-specific protease that can deubiquitinate monoubiquitinated receptor tyrosine kinases, as well as process Lys-48- and Lys-63-linked polyubiquitin to lower denomination forms in vitro. Catalytically inactive UBPY localizes to endosomes, which accumulate ubiquitinated proteins. We have explored the sequelae of short interfering RNA-mediated knockdown of UBPY. Global levels of ubiquitinated protein increase and ubiquitin accumulates on endosomes, although free ubiquitin levels are unchanged. UBPY-depleted cells have more and larger multivesicular endosomal structures that are frequently associated through extended contact areas, characterized by regularly spaced, electron-dense, bridging profiles. Degradation of acutely stimulated receptor tyrosine kinases, epidermal growth factor receptor and Met, is strongly inhibited in UBPY knockdown cells suggesting that UBPY function is essential for growth factor receptor down-regulation. In contrast, stability of the UBPY binding partner STAM is dramatically compromised in UBPY knockdown cells. The cellular functions of UBPY are complex but clearly distinct from those of the Lys-63-ubiquitin-specific protease, AMSH, with which it shares a binding site on the SH3 domain of STAM.
The pathogenesis of dengue

Purpose of review Dengue is one of the most rapidly spreading vector-borne diseases in the world, with the incidence increasing 30-fold in the past 50 years. There are currently no licensed treatments or vaccines for dengue. This review covers the recent advances in our understanding of dengue pathogenesis, including host and viral determinants. Recent findings The pathogenesis of severe dengue is thought to be immune-mediated due to the timing of the clinical manifestations and higher incidence in secondary infections with a heterologous serotype. Recent evidence has provided further information of neutralizing versus enhancing monoclonal antibodies and their target epitopes on the dengue virion, which has major implications for vaccine design. The role of T-cell immunopathology has also been advanced with recent evidence of cross-reactive high pro-inflammatory cytokine producing T cells predominating in severe dengue. Recent large genome-wide association studies have identified specific susceptibility loci associated with severe disease. Epidemiological studies have served to define certain at-risk groups and specific viral virulence factors have recently been described. Summary The pathogenesis of dengue is likely to be a complex interplay of host immunity and genetic predisposition combined with certain viral virulence factors. Better understanding of the underlying mechanisms leading to severe dengue is crucial if we are to develop prognostic markers, novel diagnostics and therapeutics and ultimately a balanced and safe vaccine.
Alcohol imagery and branding, and age classification of films popular in the UK

Background Exposure to alcohol products in feature films is a risk factor for use of alcohol by young people. This study was designed to document the extent to which alcohol imagery and brand appearances occur in popular UK films, and in relation to British Board of Film Classification (BBFC) age ratings intended to protect children and young people from harmful imagery. Methods Alcohol appearances (classified as ‘alcohol use, inferred alcohol use, other alcohol reference and alcohol brand appearances’) were measured using 5-min interval coding of 300 films, comprising the 15 highest grossing films at the UK Box Office each year over a period of 20 years from 1989 to 2008. Results At least one alcohol appearance occurred in 86% of films, at least one episode of alcohol branding in 35% and nearly a quarter (23%) of all intervals analysed contained at least one appearance of alcohol. The occurrence of ‘alcohol use and branded alcohol appearances’ was particularly high in 1989, but the frequency of these and all other appearance categories changed little in subsequent years. Most films containing alcohol appearances, including 90% of those including ‘alcohol brand appearances’, were rated as suitable for viewing by children and young people. The most frequently shown brands were American beers: Budweiser, Miller and Coors. Alcohol appearances were similarly frequent in films originating from the UK, as from the USA. Conclusion Alcohol imagery is extremely common in all films popular in the UK, irrespective of BBFC age classification. Given the relationship between exposure to alcohol imagery in films and use of alcohol by young people, we suggest that alcohol imagery should be afforded greater consideration in determining the suitability of films for viewing by children and young people.
Achieving Software Robustness via Multiagent-Based Redundancy ( Extended Abstract )

Conventional methods for software development , testing and validation do not provide the levels of reliability and robustness that consumers of large, complex and heterogeneous systems will demand. This document introduces the idea of multiagent-based redundancy for robust software development. Robustness can be achieved through redundancy, and we hypothesize that agents by being naturally smaller and easier to program than conventional systems, are an appropriate unit for adding redundancy. Agents having different algorithms but similar responsibilities produce the redundancy. The paper presents a testbed related to autonomic computing that is based on the use of existing Web services. We discuss the results obtained from the testbed. We also discuss the applicability of the work presented here to autonomic computing. We present in a nutshell results obtained from some other experiments we have run so far, as well as our future research plans.
Cognitive Flexibility of Reading-disabled Children:Development and Characteristics

Objective: To provide empirical evidences for clinical intervention of reading disabilities by investigating and comparing developmental characteristics of cognitive flexibility between the RD and Non-RD children.Methods: Using domain-general multiple classification test,phrase-making task and reading comprehension test as experimental materials.Results: ①Significant correlations exist among cognitive flexibility,literacy and reading comprehension;②Cognitive flexibility level of RD children was significantly lower than that of non-RD group;③Compared with non-RD children,RD children were found to have different developmental tendency with increasing grades.Conclusion: Mutual enhancing effects exist between reading skills and cognitive flexibility instead of cause-and-effect relations;therefore,reading-specific cognitive flexibility training combined with language knowledge and skills would make better effects on the RD intervention.
Preferences, Links, and Probabilities for Ranking Objects in Ontologies

In previous work, we have introduced variable-strength conditional preferences for ranking objects in ontologies. In this paper, we continue this line of research. We propose a new ranking of objects, which integrates this user-defined preference ranking of objects with Google's importance ranking (called PageRank) based on the link structure between the objects. We also propose to use probabilistic description logics based on Bayesian networks and the description logic DL-Lite to compute the ranking of incompletely specified objects.
An Alternating lp Approach to Compressed Sensing

Recent theoretical developments in Compressed Sensing (CS) show that if a signal has sparse representation in some basis, then it is possible to reconstruct this signal exactly from remarkably few measurements. Significant attention in CS has been focused on a nonconvex extension, where the l1 norm is replaced by the lp norm for 0.
Proposal for the creation of a research facility for the development of the SP machine

This is a proposal to create a research facility for the development of a high-parallel version of the "SP machine", based on the "SP theory of intelligence". We envisage that the new version of the SP machine will be an open-source software virtual machine, derived from the existing "SP computer model", and hosted on an existing high-performance computer. It will be a means for researchers everywhere to explore what can be done with the system and to create new versions of it. The SP system is a unique attempt to simplify and integrate observations and concepts across artificial intelligence, mainstream computing, mathematics, and human perception and cognition, with information compression as a unifying theme. Potential benefits and applications include helping to solve problems associated with big data; facilitating the development of autonomous robots; unsupervised learning, natural language processing, several kinds of reasoning, fuzzy pattern recognition at multiple levels of abstraction, computer vision, best-match and semantic forms of information retrieval, software engineering, medical diagnosis, simplification of computing systems, and the seamless integration of diverse kinds of knowledge and diverse aspects of intelligence. Additional motivations include the potential of the SP system to help solve problems in defence, security, and the detection and prevention of crime; potential in terms of economic, social, environmental, and academic criteria, and in terms of publicity; and the potential for international influence in research. The main elements of the proposed facility are described, including support for the development of "SP-neural", a neural version of the SP machine. The facility should be permanent in the sense that it should be available for the foreseeable future, and it should be designed to facilitate its use by researchers anywhere in the world.
A Conceptual Framework for Smart Workflow Management

Workflow technology is an effective means of modeling and management of complex interacting business processes and is now being employed in other diversified domains. Although the workflow technology is already quite mature and commercial workflow management products are readily available, it has been observed that the technology lacks certain context related components and concepts when applied to domains like e-commerce, mobile and pervasive computing. The context-aware or smart workflows are those that operate as per context information gathered from environment or domain knowledge. In order to make workflow management context-aware, extensions and modifications are required in existing architectures and standards of workflow management systems. This paper describes a framework for designing and managing context-aware workflows that encompasses different aspects of context change. It indicates the changes and extensions required in the current technology for smooth integration of context in workflows to enable their smart execution. We present a simplified technique of workflow representation with the introduction of context-activity architecture as the basis of our framework.
Experience with the design of a communication protocol for PC clusters

With the advent of high-speed LANs and rapid development of PC technologies, the communication software evolution has lagged behind. Traditional communication protocol stacks fail to deliver much of the performance of physical network to user applications. So efficient communication protocols are needed to take full advantage of the high performance of underlying interconnection networks. This paper analyzes the critical issues in designing an efficient communication protocol and introduces our experience with the design and implementation of FMP (Fast Message Passing). FMP is a reduced user-level message passing system designed for Myrinet-based PC clusters. It provides high-speed, reliable and in-order message delivery, and supports multiplexing and protective accessing of the network interface. Moreover, standard parallel programming interface including PVM/MPI on top of FMP are both implemented.
Pattern-Based Analysis of Business-IT Mismatches in EA Models: Insights from a Case Study

Malfunctioning areas and various business-IT mismatches encumber the achievement of strategic alignment. This paper deals with the concept of misalignment, with special attention to enterprise architecture (EA)-based analytical potential. In this paper, an analytical solution is tested in form of a case study at a road management authority. The study proposes a rule-based framework to reveal the symptoms of malfunctioning alignment areas. In the proposed framework rule construction is supported by Schematron, a pattern-based XML validation language. Schematron language is used for making assertions about patterns (i.e. misalignment symptoms) found in the XML exports of the EA models. Queries are processed for every suitable EA model within the proposed EA model structure at the case organization. The paper highlights the results from the empirical investigation.
Data mining by nonnegative tensor approximation

Inferring multilinear dependences within multi-way data can be performed by tensor decompositions. Because of the presence of noise or modeling errors, the problem actually requires an approximation of lower rank. We concentrate on the case of real 3-way data arrays with nonnegative values, and propose an unconstrained algorithm resorting to an hyperspherical parameterization implemented in a novel way, and to a global line search. To illustrate the contribution, we report computer experiments allowing to detect and identify toxic molecules in a solvent with the help of fluorescent spectroscopy measurements.
Expression of U1 Small Nuclear Ribonucleoprotein 70K Antisense Transcript Using APETALA3 Promoter Suppresses the Development of Sepals and Petals1

U1 small nuclear ribonucleoprotein (snRNP)-70K (U1-70K), a U1 snRNP-specific protein, is involved in the early stages of spliceosome formation. In non-plant systems, it is involved in constitutive and alternative splicing. It has been shown that U1snRNP is dispensable for in vitro splicing of some animal pre-mRNAs, and inactivation of U1-70K in yeast (Saccharomyces cerevisiae) is not lethal. As in yeast and humans (Homo sapiens), plant U1-70K is coded by a single gene. In this study, we blocked the expression of Arabidopsis U1-70K in petals and stamens by expressing U1-70K antisense transcript using the AP3 (APETALA3) promoter specific to these floral organs. Flowers of transgenic Arabidopsis plants expressing U1-70K antisense transcript showed partially developed stamens and petals that are arrested at different stages of development. In some transgenic lines, flowers have rudimentary petals and stamens and are male sterile. The severity of the phenotype is correlated with the level of the antisense transcript. Molecular analysis of transgenic plants has confirmed that the observed phenotype is not due to disruption of whorl-specific homeotic genes, AP3 or PISTILLATA, responsible for petal and stamen development. The AP3 transcript was not detected in transgenic flowers with severe phenotype. Flowers of Arabidopsis plants transformed with a reporter gene driven by the same promoter showed no abnormalities. These results show that U1-70K is necessary for the development of sepals and petals and is an essential gene in plants.
Bounded deliberation in public committees: the case of experts

ABSTRACT In this article, the participation of academic experts on Norwegian public committees is investigated to explore how their interpretation of the expert role affects the wider deliberations on such settings. These committees are commonly perceived as venues for the integration of organized interest on public policymaking. This study demonstrate, however, how the participation of experts on committees may contribute to alienate the explorative style of negotiation that is elsewhere described as typical for Norwegian corporatist decision-making. Despite being independent members, experts outlined their role in accordance with the professional values of their discipline, and acted as representatives of their profession on committees. This contributed to experts’ bounded deliberation on these committees and the introduction of professional standards for judgment in the face of differences. The study is based on qualitative interviews with members of the past four committees advising on Norwegian climate policies.
A Review on the Cognitive Emotion Regulation Strategies

Cognitive emotional regulation strategies can be understood as the cognitive way of managing the intake of emotional information. There were two theories as processing view and structural view explaining cognitive emotion regulation strategies. Selfreport questionnaire is the main method of measure,while the cognitive neuroscience approach comes to be used widely as well. Meanwhile many researches have revealed that cognitive emotion regulation strategies have significant effect on the outcome variables,such as subjective well-being,social adaptation,depression and anxiety. Future studies should perfect the theoretical structures,use diversity of research methods,update the measurement tools and expand research fields.