Miracle-dz/UniFAR-FTUs huggingface dataset:
LA CATEGORÍA DE LUGAR: DE LA GRAMÁTICA AL DISCURSO (The category of Place: Grammar to Discourse)

The aim of this paper is to discuss some concepts related to synchro-diachronic method to the linguistic analysis of texts (from now on MSDALT) (PARDO, 1996, 2011). This is an exploratory research. Specifically we try to account for the grammaticalized category and, therefore, obligatory Place. It is recognized the orientative role of the category Place; however, this can change its role in the text and become a category of semantic-discursive character. In addition, this category becomes one of the topics of the text in which it is included. This re-functionality of the category of Place seems to keep a link with the postmodern discussion about space, and this happened in modernity with grammaticalized Time category. This topic is outlined in this paper for future research. The theoretical framework of this research is Discourse Analysis. The methodology is qualitative and the selected corpus is made up of news on YouTube chronic surveyed, of which two are taken as examples. The linguistic analysis is performed by the aforementioned method (PARDO, 2011).
Utilising the event calculus for policy driven adaptation on mobile systems

Adaptation is an important requirement for mobile applications due to the varying levels of resource availability that characterises mobile environments. However, without proper control, multiple applications can each adapt independently in response to a range of different adaptive stimuli, causing conflicts or suboptimal performance. In this paper, we present a policy-driven approach for mobile adaptive systems that can overcome the aforementioned problems. Our system is based on a policy language derived from the event calculus logic programming formalism. Important characteristics of our policy language are its support for explicit time-dependency expressions and its simple and user-friendly syntax.
Dietary fat modifies the postprandial inflammatory state in subjects with metabolic syndrome: the LIPGENE study.

SCOPE Our aim was to investigate whether the inflammatory state associated to metabolic syndrome (MetS) patients is affected by diets with different fat quality and quantity. METHODS AND RESULTS Seventy-five subjects from LIPGENE cohort were included in this feeding trial and randomly assigned to one of four diets: high saturated fatty acids (HSFA); high monounsaturated fatty acids (HMUFA) and two low-fat, high complex carbohydrate (LFHCC) diets, supplemented with long-chain n-3 polyunsaturated fatty acids (LFHCC n-3) or placebo (LFHCC), for 12 weeks each. A postprandial fat challenge, reflecting the intervention dietary fat composition, was conducted post-intervention. The HMUFA diet significantly reduced postprandial nuclear transcription factor-kappaB (NF-kB) activity and the nuclear p65 protein levels relative to fasting values (p < 0.05). Furthermore, we observed a postprandial decrease in this protein with the HMUFA diet compared with the HSFA and LFHCC diets (p < 0.05). The postprandial response of inhibitory molecule from NF-kB mRNA levels increased with the HMUFA diet compared with the HSFA and LFHCC n-3 diets (p < 0.05). Postprandial tumor necrosis factor-α and Metalloproteinase 9 mRNA levels were also reduced after the HMUFA diet compared with the HSFA diet (p < 0.05). CONCLUSION Our results indicate that the long-term consumption of a healthy diet model with HMUFA attenuates the postprandial inflammatory state associated with MetS.
Magnetic activity and accretion on FU Tau A: Clues from variability

FU Tau A is a young very low mass object in the Taurus star forming region which was previously found to have strong X-ray emission and to be anomalously bright for its spectral type. In this study we discuss these characteristics using new information from quasi-simultaneous photometric and spectroscopic monitoring. From photometric time series obtained with the 2.2m telescope on Calar Alto we measure a period of � 4d for FU Tau A, most likely the rotation period. The short-term variations over a few days are consistent with the rotational modulation of the flux by cool, magnetically induced spots. In contrast, the photometric variability on timescales of weeks and years can only be explained by the presence of hot spots, presumably caused by accretion. The hot spot properties are thus variable on timescales exceeding the rotation period, maybe due to long-term changes in the accretion rate or geometry. The new constraints from the analysis of the variability confirm that FU Tau A is affected by magnetically induced spots and excess luminosity from accretion. However, accretion is not sufficient to explain its anomalous position in the HR diagram. In addition, suppressed convection due to magnetic activity and/or an early evolutionary stage need to be invoked to fully account for the observed properties. These factors cause considerable problems in estimating the mass of FU Tau A and other objects in this mass/age regime, to the extent that it appears questionable if it is feasible to derive the Initial Mass Function for young low-mass stars and brown dwarfs.
Split-ordered lists: Lock-free extensible hash tables

We present the first lock-free implementation of an extensible hash table running on current architectures. Our algorithm provides concurrent insert, delete, and find operations with an expected O(1) cost. It consists of very simple code, easily implementable using only load, store, and compare-and-swap operations. The new mathematical structure at the core of our algorithm is recursive split-ordering, a way of ordering elements in a linked list so that they can be repeatedly “split” using a single compare-and-swap operation. Metaphorically speaking, our algorithm differs from prior known algorithms in that extensibility is derived by “moving the buckets among the items” rather than “the items among the buckets. ” Though lock-free algorithms are expected to work best in multiprogrammed environments, empirical tests we conducted on a large shared memory multiprocessor show that even in non-multiprogrammed environments, the new algorithm performs as well as the most efficient known lock-based resizable hash-table algorithm, and in high load cases it significantly outperforms it.
Margin-Based Feed-Forward Neural Network Classifiers

Margin-Based Principle has been proposed for a long time, it has been proved that this principle could reduce the structural risk and improve the performance in both theoretical and practical aspects. Meanwhile, feed-forward neural network is a traditional classifier, which is very hot at present with a deeper architecture. However, the training algorithm of feed-forward neural network is developed and generated from Widrow-Hoff Principle that means to minimize the squared error. In this paper, we propose a new training algorithm for feed-forward neural networks based on Margin-Based Principle, which could effectively promote the accuracy and generalization ability of neural network classifiers with less labelled samples and flexible network. We have conducted experiments on four UCI open datasets and achieved good results as expected. In conclusion, our model could handle more sparse labelled and more high-dimension dataset in a high accuracy while modification from old ANN method to our method is easy and almost free of work.
Green, Green, It’s Green: A Triad Model of Technology, Culture, and Innovation for Corporate Sustainability

In the global trend of sustainable development and tightening legal environment, enterprises need to integrate their various resources to promote green innovation and organizational performances. This study conceptualizes green information system (IS) infrastructure as the hardware resource and green culture as the software resource. Based on the resource-alignment perspective, it examines their direct effects on green innovation effectiveness as well as indirect effects through the mediation of IS-culture fit, innovation-IS fit and innovation-culture fit. Survey observations were collected from over 300 organizations in China, the largest emerging economy under tremendous ecological and developmental pressures. The results suggest that green IS infrastructure and green culture has positive direct impacts on green innovation effectiveness. Meanwhile, innovation-IS fit, innovation-culture fit and IS-culture fit serve as positive, negative and non-significant mediators, respectively. In addition, a multi-group analysis reveals that organization size moderates the mediating rather than direct relationships, and small/medium and large enterprises face their own pros and cons in green innovation. Theoretical and practical implications of the findings are discussed.
Murine Cytomegalovirus with a Transposon Insertional Mutation at Open Reading Frame m155 Is Deficient in Growth and Virulence in Mice

ABSTRACT A pool of murine cytomegalovirus (MCMV) mutants was previously generated by using a Tn3-based transposon mutagenesis approach (X. Zhan, M. Lee, J. Xiao, and F. Liu, J. Virol. 74:7411-7421, 2000). In this study, one of the MCMV mutants, Rvm155, which contained the transposon insertion in open reading frame m155, was characterized in vitro for its replication in tissue culture and in vivo for its growth and virulence in immunodeficient SCID mice. Compared to the wild-type strain and a rescued virus that restored the m155 region, the mutant is significantly deficient in growth in many organs of the infected animals. At 21 days postinfection the titers of Rvm155 in the salivary glands, lungs, spleens, livers, and kidneys of the intraperitoneally infected SCID mice were lower than the titers of the wild-type virus and the rescued virus by 50-, 1,000-, 500-, 100-, and 500-fold, respectively. Moreover, the viral mutant was attenuated in killing the SCID mice, as none of the SCID mice that were intraperitoneally infected with Rvm155 died until 38 days postinfection while all the animals infected with the wild-type and rescued viruses died at 27 days postinfection. Our results provide the first direct evidence that a disruption of m155 expression leads to attenuation of viral virulence and growth in animals. Moreover, these results suggest that m155 is a viral determinant for optimal MCMV growth and virulence in vivo.
Peer Relations and Developmental Psychopathology

Peers provide a context in which child and adolescent development occurs. Peers may right wayward developmental trajectories, buffering the effects of deleterious risk factors. Adverse peer experiences also may distort developmental pathways, contributing to psychopathology. Numerous distinct peer constructs that signal developmental perturbations have been identified and associated with indices of psychopathology. This chapter reviews peer experiences in early childhood (i.e., social withdrawal), school-age youth (i.e., peer status, peer victimization, and friendship), and adolescence (i.e., peer influence) that are associated with psychological symptoms. This chapter highlights developmental psychopathology approaches for understanding transactions between peer experiences and multiple development systems. New directions for research, integrating affective neuroscience theories, psychophysiology findings, and more complex cascade models of development are discussed. The peer context is highly relevant for understanding psychological and even biological functioning in youth. Ongoing research integrates findings from the peer relations literature with research in related scientific disciplines. Keywords: peer relations; peer status; social withdrawal; peer victimization; peer influence; friendship; psychological symptoms
Radial Structure of Traveling Waves in the Inner Ear

We develop a hybrid approach for modeling the cochlea, in which we let the WKB method determine the axial propagation of waves and restrict the numerics to transverse planes, where we solve a fluid-solid interaction eigenvalue problem. The cochlear fluid is treated as viscous and incompressible. Viscous effects are confined to oscillatory boundary layers and the thin gap between the reticular lamina (RL) and the lower surface of the tectorial membrane (TM). Our model includes axial fluid coupling and also axial elastic coupling via a basilar membrane (BM) modeled as an orthotropic clamped plate. Three-dimensional (3D) flow is solved in two-dimensional (2D) domains, with interactions with 2D elastic domains representing the organ of Corti (OC) and the TM. The OC contains inhomogeneities representing discrete cellular structures. We have computed the interaction between the BM, TM, OC, and the cochlear fluid to find the complex-valued wavenumber-frequency relation and vibrational modes. The details of the c.
An enhanced differential evolution algorithm for solving large scale optimisation problems on graphics hardware

This paper presents an enhanced differential evolution DE algorithm on graphics hardware. It has shown a good performance on solving large scale optimisation problems. In this algorithm, generalised opposition-based learning GOBL strategy and orientation neighbourhood search ONS are embedded into DE algorithm. These strategies are helpful to balance the global and local search ability of the algorithm, moreover, the GPU hardware can accelerate the convergence rate. Experimental results show that the enhanced algorithm on graphics hardware achieves good accuracy and high speedup.
Scale effects of nanomechanical properties and deformation behavior of Au nanoparticle and thin film using depth sensing nanoindentation

Summary Nanoscale research of bulk solid surfaces, thin films and micro- and nano-objects has shown that mechanical properties are enhanced at smaller scales. Experimental studies that directly compare local with global deformation are lacking. In this research, spherical Au nanoparticles, 500 nm in diameter and 100 nm thick Au films were selected. Nanoindentation (local deformation) and compression tests (global deformation) were performed with a nanoindenter using a sharp Berkovich tip and a flat punch, respectively. Data from nanoindentation studies were compared with bulk to study scale effects. Nanoscale hardness of the film was found to be higher than the nanoparticles with both being higher than bulk. Both nanoparticles and film showed increasing hardness for decreasing penetration depth. For the film, creep and strain rate effects were observed. In comparison of nanoindentation and compression tests, more pop-ins during loading were observed during the nanoindentation of nanoparticles. Repeated compression tests of nanoparticles were performed that showed a strain hardening effect and increased pop-ins during subsequent loads.
DNA repair endonuclease ERCC1–XPF as a novel therapeutic target to overcome chemoresistance in cancer therapy

The ERCC1–XPF complex is a structure-specific endonuclease essential for the repair of DNA damage by the nucleotide excision repair pathway. It is also involved in other key cellular processes, including DNA interstrand crosslink (ICL) repair and DNA double-strand break (DSB) repair. New evidence has recently emerged, increasing our understanding of its requirement in these additional roles. In this review, we focus on the protein–protein and protein–DNA interactions made by the ERCC1 and XPF proteins and discuss how these coordinate ERCC1–XPF in its various roles. In a number of different cancers, high expression of ERCC1 has been linked to a poor response to platinum-based chemotherapy. We discuss prospects for the development of DNA repair inhibitors that target the activity, stability or protein interactions of the ERCC1–XPF complex as a novel therapeutic strategy to overcome chemoresistance.
Iterative design of an audio-haptic drawing application

This paper presents the ongoing design and evaluation of an audio-haptic drawing program that allows visually impaired users to create and access graphical images. The application is developed in close collaboration with a user reference group of five blind/low vision school children. The objective of the application is twofold. It is used as a research vehicle to investigate user interaction techniques and do basic research on navigation strategies and help tools, including e.g. sound fields, shape creation tools and beacons with pulling forces in the context of drawing. In the progress of the development, the preferred features have been implemented as standard tools in the application. The final aim of the application in its current form is to aid school work in different subjects, and part of the application development is also to create tasks relevant in a school setting.
On regularity and integrated DFM metrics

Transistor geometries are well into the nanometer regime, keeping with Moore's Law. With this scaling in geometry, problems not significant in the larger geometries have come to the fore. These problems, collectively termed variability, stem from second-order effects due to the small geometries themselves and engineering limitations in creating the small geometries. The engineering obstacles have a few solutions which are yet to be widely adopted due to cost limitations in deploying them. Addressing and mitigating variability due to second-order effects comes largely under the purview of device engineers and to a smaller extent, design practices. Passive layout measures that ease these manufacturing limitations by regularizing the different layout pitches have been explored in the past. However, the question of the best design practice to combat systematic variations is still open. In this work we explore considerations for the regular layout of the exclusive-OR gate, the half-adder and full-adder cells implemented with varying degrees of regularity. Tradeoffs like complete interconnect unidirectionality, and the inevitable introduction of vias are qualitatively analyzed and some factors affecting the analysis are presented. Finally, results from the Calibre Critical Feature Analysis (CFA) of the cells are used to evaluate the qualitative analysis.
Biocompatibility assessments for medical devices – evolving regulatory considerations

ABSTRACT Introduction: Biocompatibility assessment provides key data supporting medical device development and marketing. Although regional and international guidance is available, differences in proposed biocompatibility assessments or test methods lead to confusion and inefficiencies in generating the package of supporting nonclinical data. Areas covered: Modifications to available guidance for biological safety testing of medical devices, as described by the International Organisation for Standardisation (ISO) and the US Food and Drug Administration (FDA), have, over time, sometimes increased and sometimes decreased the level of harmonisation in testing requirements. These requirements continue to evolve, as shown by refinements and supplements to existing ISO 10,993 standards, new ISO standards under development and new finalised guidance from the FDA – which shows a shift away from routine testing-based approaches and much greater emphasis on characterisation, with use of existing literature or demonstration of equivalence to established comparator products, where possible. Expert commentary: This article examines the impact of recent changes in guidance for biocompatibility assessment of new medical devices and shows that, although a high level of consistency now occurs in ISO and FDA requirements, there are still areas where a ‘standard approach’ is not possible, allowing hurdles for global development of medical devices to persist.
Instance transformation for declarative solvers or: Instant model finders

We describe a method and prototype tool for purely declarative creation of “solvers” for a wide range of problems where instances are presented as strings. Examples include model finders for logics of moderate expressive power. The method exploits existing specification-based declarative problem-solving systems (“model-and-solve” systems), adding a front-end tool to declaratively map problem instances in arbitrary form into system-specific instance formats. We illustrate application of our prototype tool with examples including graph problems and non-classical propositional logics.
Area Spectral Efficiency of Co-Channel Deployed OFDMA Femtocell Networks

Deployment of femtocells is expected to increase the capacity of cellular networks several folds. However, since femtocells operate within the available spectrum of the macro-cellular network, the arising uncontrolled interference may limit the achievable gain. For the successful operation of femtocells, the area spectral efficiency (ASE) performance needs to be studied for useful insights. In this paper, we derive the ASE for orthogonal-frequency-division-multiple-access-based cochannel-deployed macrocell-femtocell networks considering uniformly distributed femtocell locations. The ASE is obtained from the area averaged signal to interference plus noise ratio (SINR) distributions of macrocell and femtocell networks. Since strength of the co-channel interference received by a user terminal is related to load condition in neighboring cells, the ASE is derived considering activity due to fractional load of interfering cells. We then investigate the impact of femtocell density, transmit power, and load of femtocells as well as macrocell transmit power and load on the ASE performance. We also look at the optimal femtocell radio parameters: transmit power and load that maximizes the ASE while satisfying the QoS constraints of macrocell and femtocell users at different network conditions. From the analysis, it is seen that in co-channel deployment mode, if femtocell radio parameters are suitably controlled according to varying network condition, the ASE gain can be increased several folds without affecting macrocell network performance. It is also shown that, by centrally coordinating the spectrum reuse and allocated power at each macro/femto tier, the overall performance can be improved.
An Adaptive Self-Organizing Color Segmentation Algorithm with Application to Robust Real-time Human Hand Localization

In Proc. Asian Conf. on Computer Vision, Taiwan, 2000 This paper describes an adaptive self-organizing color segmentation algorithm and a transductive learning algorithm used to localize human hand in video sequences. The color distribution at each time frame is approximated by the proposed 1-D self-organizing map (SOM), in which schemes of growing, pruning and merging are facilitated to find an appropriate number of color cluster automatically. Due to the dynamic backgrounds and changing lighting conditions, the distribution of color over time may not be stationary. An algorithm of SOM transduction is proposed to learn the nonstationary color distribution in HSI color space by combining supervised and unsupervised learning paradigms. Color cue and motion cue are integrated in the localization system, in which motion cue is employed to focus the attention of the system. This approach is also applied to other tasks such as human face tracking and color indexing. Our localization system implemented on a SGI O2 R10000 workstation is reliable and efficient at 20-30Hz.
Towards Accurate Automatic Segmentation of IMU-Tracked Motion Gestures

We present our ongoing research on automatic segmentation of motion gestures tracked by IMUs. We postulate that by recognizing gesture execution phases from motion data that we may be able to auto-delimit user gesture entries. We demonstrate that machine learning classifiers can be trained to recognize three distinct phases of gesture entry: the start, middle and end of a gesture motion. We further demonstrate that this type of classification can be done at the level of individual gestures. Furthermore, we describe how we captured a new data set for data exploration and discuss a tool we developed to allow manual annotations of gesture phase information. Initial results we obtained using the new data set annotated with our tool show a precision of 0.95 for recognition of the gesture phase and a precision of 0.93 for simultaneous recognition of the gesture phase and the gesture type.