Miracle-dz/UniFAR-FTUs huggingface dataset:
Numerical Simulations of Fluid-Structure Interaction Problems using MpCCI

This paper reports on the development of a computationally efficient methodology for the simulation of nonlinear fluid-structure interaction problems. Preliminary results are presented for the steady and unsteady aeroelastic problems associated with the AGARD Wing 445.6. 1 Objectives A large class of fluid-structure interaction (FSI) problems require the simultaneous application of computational fluid dynamics (CFD), computational structural dynamics (CSD) and computational thermodynamics (CTD) codes. Since each discipline has developed powerful specialized tools, a partitioned procedure is preferred for solving coupled field nonlinear FSI problems. In the present research a in-house three-dimensional unstructured CFD solver is coupled to a commercial finite element structural solver. The CFD solver developed at CENAERO is a domain decomposition based parallel threedimensional Euler and Navier-Stokes solver which features a combination of finite volume and finite element discretizations on unstructured tetrahedral meshes. The solver uses the AOMD (Algorithm Oriented Mesh Database) library [1] for the management of the topological mesh entities across the processors. Pseudo time-integration is performed for steady state flows with the backward Euler scheme. The ALE version [2] of the three-point backward difference scheme is used for unsteady computations on moving meshes. Since these schemes are implicit, the flow solver must solve at each time-step a system of nonlinear equations. For this purpose, it relies on an inexact Newton method based on a finite difference Newton-GMRES algorithm. The flow solver is coupled through the MpCCI (Mesh based parallel Code Coupling Interface) software [3] to the SAMCEF Mecano code [4] in order to perform aeroelastic simulations. This code can perform linear, nonlinear, steady state or transient analyses. MpCCI is a standardized and portable library which allows the coupling of simulation codes. It provides conservative data interpolation across non-matching fluid and structure mesh interfaces and data communication between different codes through MPI software channels. The interface to SAMCEF Mecano is obtained through the modification of the MCUSER user-functions. An iterative partitioned procedure, where the fluid and structure subsystems are solved by different schemes that are tailored to their different mathematical models, is used to solve FSI problems. A typical iteration of such a procedure applied to aeroelastic problems can be summarized as follows: (1) compute the fluid force and transfer it to the structure, (2) solve the
The high energy cosmic ray spectrum from massive particle decay

It has been speculated that the recently detected ultra-high energy cosmic rays may originate from the decays of relic particles with mass of order 1012 GeV clustered in the halo of our Galaxy. This hypothesis can be tested through forthcoming measurements of the spectra of both high energy cosmic nucleons and neutrinos, which are determined in this model by the physics of QCD fragmentation, with no astrophysical uncertainties. We evolve fragmentation spectra measured at LEP energies up to the scale of the decaying particle mass by numerical solution of the DGLAP equations. This enables incorporation of the effects of supersymmetry on the development of the cascade and we also allow for decays into many-particle states. The calculated spectral shape agrees well with present cosmic ray data beyond the GreisenZatsepin-Kuzmin energy. 98.70. Sa, 14.80. -j, 95.35. +d, 13.87. Fh Typeset using REVTEX sarkar@thphys.ox. ac.uk toldra@thphys.ox. ac.uk
Mirror, Mirror on the Retail Wall: Self-Focused Attention Promotes Reliance on Feelings in Consumer Decisions

The authors propose that consumers’ increased self-focused attention promotes their relative reliance on affective feelings when they make decisions. The authors test this hypothesis in a variety of consumption domains and decision tasks, including real-life, consequential charitable donations. Consistent support from five experiments with more than 1,770 participants shows that (1) valuations of the decision outcome increase when consumers with high (low) self-focus adopt a feeling-based (reason-based) strategy. The hypothesized effect of self-focus on relative reliance on feelings in decision making is (2) moderated by self-construal. Furthermore, greater attention to the self (3) increases evaluations of products that are affectively superior but (4) decreases evaluations of products that are affectively inferior and (5) exerts little influence on evaluations of products that are less affective in nature (i.e., utilitarian products). Finally, self-focused attention (6) amplifies a decision bias typically attributed to feeling-based judgments, known as scope-insensitivity bias, in a hypothetical laboratory study and in a real-life, consequential charitable donation. Theoretical and marketing implications are discussed.
V: A Visual Query Language for Multimodal Interfaces

This thesis proposes a two-dimensional, visual, direct manipulation query language intended to be used as an alternate modality to natural language in a multimodal interface. The language focuses on the visualisation of the logic of queries, and is intended to be flexible, extensible, and to have at least the expressive power of first order predicate logic with constraints. The language provides a basis for future inclusion of higher order logic (and thus a framework for database navigation with the language itself), DBMS features, and generalised quantifiers. As far as we have been able to judge, no such visual language of equal expressive power already exists. A "proof of concept" prototype has been implemented that illustrates some of the key concepts of the language.
A Comparative Multidimensional Study of the English Translation of Lunyu (The Analects): A Corpus-based Analysis

Although Lunyu (The Analects) is well-known and often mentioned in Confucian scholarship, there have been no focused examinations of the comprehensive linguistic features of its English translations. This study seeks to report a comparative multidimensional investigation into the similarities and differences in the lexico-grammatical features of Lunyu (The Analects) translated by James Legge and Ku Hungming. The comparison is made along five functional dimensions (involved versus informational production, narrative versus non-narrative concerns, explicit versus situation-dependent reference, overt expression of persuasion, and abstract versus non-abstract information), and the prominent lexico-grammatical features (based on a 67-item feature set) in the two texts are singled out. It is found that there are more private verbs, present tense verbs, be as main verb, past tense verbs, third-person pronouns, and public verbs in Legge’s The Analects of Confucius , whereas Ku’s The Discourses and Sayings of Confucius uses nouns, adjectives, long words, nominalisations, and time adverbials more often. The identified differences in lexico-grammatical patterns are related to the distinct goals of the two translators. The results demonstrate that the multidimensional (MD) approach is effective in differentiating the linguistic features of the two translation versions and motivating a micro-analysis of the texts, seeking to discern the translators’ underlying assumptions about the relations of Confucius and his followers. It is considered that these findings may have implications for the understanding of the translations of The Analects .
Towards an Integral Approach of Organizations in Multi-Agent Systems

In this chapter, we stress the importance of thinking a MAS in all its aspects (agents, environment, interactions, organizations, and institutions), using a more integral vision. We show that a genuine organizational approach has to take into account both the environment and the institutional part of MAS societies. Then, we propose the MASQ (Multi-Agent System based on Quadrants) meta-model, which constitutes an abstraction of the various aspects of an OCMAS (Organization Centered Multi-Agent Systems), extending AGR (Agent/Group/Role). MASQ is based on a four-quadrant framework, where the analysis and design of a system is performed along two axes: an interior/exterior dimension and an individual/collective dimension. We give a conceptual definition of this approach and we will show that it is possible to apply it to practical models.
Step Detection from Power Generation Pattern in Energy-Harvesting Wearable Devices

Energy-harvesting wearable devices generate power by converting natural phenomena such as human motion into usable electricity. We conduct an experimental study to validate the feasibility of detecting steps from the power generation patterns of a wearable piezoelectric energy harvester (PEH). Four healthy adults took part in the study, which includes walking along straight and turning walkways as well as descending and ascending stairs. We find that power generation exhibits distinctive peaks for each step, making it possible to accurately detect steps using widely used peak detection algorithms. Using our PEH prototype, we successfully detected 550 steps out of 570, achieving a step detection accuracy of 96%.
Perinatal cortical growth and childhood neurocognitive abilities

Objective: This observational cohort study addressed the hypothesis that after preterm delivery brain growth between 24 and 44 weeks postmenstrual age (PMA) is related to global neurocognitive ability in later childhood. Methods: Growth rates for cerebral volume and cortical surface area were estimated in 82 infants without focal brain lesions born before 30 weeks PMA by using 217 magnetic resonance images obtained between 24 and 44 weeks PMA. Abilities were assessed at 2 years using the Griffiths Mental Development Scale and at 6 years using the Wechsler Preschool and Primary Scale of Intelligence–Revised (WPPSI-R), the Developmental Neuropsychological Assessment (NEPSY), and the Movement Assessment Battery for Children (MABC). Analysis was by generalized least-squares regression. Results: Mean test scores approximated population averages. Cortical growth was directly related to the Griffiths Developmental Quotient (DQ), the WPPSI-R full-scale IQ, and a NEPSY summary score but not the MABC score and in exploration of subtests to attention, planning, memory, language, and numeric and conceptual abilities but not motor skills. The mean (95% confidence interval) estimated reduction in cortical surface area at term corrected age associated with a 1 SD fall in test score was as follows: DQ 7.0 (5.8–8.5); IQ 6.0 (4.9–7.3); and NEPSY 9.1 (7.5–11.0) % · SD−1. Total brain volume growth was not correlated with any test score. Conclusions: The rate of cerebral cortical growth between 24 and 44 weeks PMA predicts global ability in later childhood, particularly complex cognitive functions but not motor functions.
Expansive learning in teachers’ professional development: a case study of intercultural and bilingual preschools in Chile

ABSTRACT As colonial legacies, racial dynamics, lingering discrimination, and even violence against Indigenous people and children, especially the Mapuche people (the focus of this study and the largest Indigenous group in the country), continue in Chilean society, research on how their teachers learn and how they perceive their learning has become even more necessary. Understanding the learning development of educators in Intercultural and Bilingual Education (IBE) preschools for the education of Indigenous peoples is the focus of this study. In this context, the overall research question of this study is: What learning occurs for teachers in IBE preschools in the Metropolitan Region, Chile and how does this learning happen? Using Engestrom’s expansive learning model (2001) and an ethnographic approach, this study found peer learning to be a critical but untapped resource for teacher learning in this setting, and also found there to be differences between Mapuche and non Mapuche teachers’ understandings of the goals of their learning. Implications point to setting up teacher learning based on a model of peer learning which focuses on Mapuche educators contributing more than they currently do to the learning of non-Mapuche teachers in IBE preschools.
Combined LHC/ILC analysis of a SUSY scenario with heavy sfermions

We discuss the potential of analyses at the Large Hadron Collider and the planned International Linear Collider to explore low-energy supersymmetry in a difficult region of the parameter space characterized by masses of the scalar SUSY particles around 2 TeV. Precision analyses of cross sections for light chargino production and forward- backward asymmetries of decay leptons and hadrons at the first stage of the ILC with p s = 500 GeV, together with mass information on ˜ Â 0 and squarks from the LHC, allow us to determine the underlying fundamental gaugino/higgsino MSSM parameters and to constrain the masses of the heavy, kinematically inaccessible sparticles. No assumptions on a specific SUSY-breaking mechanism are imposed. For this analysis the complete spin correlations between production and decay processes must be taken into account.
Explanations in the Information Extraction System iDocument

The information extraction system iDocument interactively extracts information from texts such as instances and relations with respect to existing background knowledge. An extraction process creates weighted hypotheses describing indications of relevant information. During execution, each process step records its output into an instantiated process model. We reused these bits of information for generating conceptual, functional as well as causal explanations. In order to visualise explanations, our component utilises different mechanisms for textual, explorative, and pictorial rendering styles.
Gates Synthesis for C Programs with Heap

Current C to gates synthesis tools do not support programs that make non-trivial use of dynamically-allocated heap (e.g. linked-list C programs that call malloc and free). The problem is that its difficult to determine an a priori bound on the amount of heap used during the program’s execution, if a bound even exists. In this paper we develop a new method of synthesizing symbolic bounds expressed over generic parameters, thus leading to a C to gates synthesis flow for programs using dynamic allocation and deallocation.
The Correlation of Serum Metal Ions with Functional Outcome Scores at Three-to-Six Years following Large Head Metal-on-Metal Hip Arthroplasty

Based on success of hip resurfacing, large head Metal on Metal (MoM) hip arthroplasty has gained significant popularity in recent years. There are growing concerns about metal ions related soft tissue abnormalities. The aim of this study was to define a correlation of metal ions with various functional outcome scores following large head MoM hip arthroplasty. Consecutive cohort of 70 patients (76 hips) with large head MoM hip arthroplasty using SL-Plus femoral stem and Cormet acetabular component were prospectively followed up. An independent observer assessed the patients which included serology for metal ion levels and collection of Oxford Hip, Harris hip, WOMAC, SF-36 & modified UCLA scores. Median serum cobalt and chromium levels were 3.10 μg/L (0.35–62.92) and 4.21 μg/L (0.73–69.27) with total of median 7.30 μg/L (2.38–132.19). The median Oxford, Harris, WOMAC, SF-36 and modified UCLA scores were 36 (6–48), 87 (21–100), 36 (24–110), 104 (10–125), and 3 (1–9), respectively. Seventeen patients had elevated serum cobalt and chromium levels ≥7 μg/L. There was no significant correlation between serum metal ion levels with any of these outcome scores. We recommend extreme caution during follow up of these patients with large head MoM arthroplasty.
A MAC Protocol for Maximum Stream Allocation Depending on the Number of Antennas and Received RTS Packets in MIMO Ad Hoc Networks

MIMA-MAC is the most attractive MAC protocol for MIMO ad hoc networks, which consist of nodes with multiple antennas. MIMA-MAC, however, uses only a half of antennas for data transmission regardless of the number of antennas or transmission demands of neighboring nodes. In this paper, we propose a MAC protocol for MIMO ad hoc networks with parallel RTS processing (PRP-MAC) which determines the maximum allowable number of data streams after receiving up to 2 RTS packets at a receiver. PRP-MAC can maximize the number of transmitted data streams regardless of collision of RTS packets, the number of transmission demands from neighboring nodes and the number of antennas at each node. Our simulation results show that PRP-MAC can enhance the network throughput, and decrease the amount of control bytes per data packet compared with MIMA-MAC. In addition, we also show the availability of PRP-MAC in antenna-heterogeneous environments.
A Posteriori Error Estimates for Energy-Based Quasicontinuum Approximations of a Periodic Chain

We present a posteriori error estimates for a recently developed atomistic/continuum coupling method, the Consistent Energy-Based QC Coupling method. The error estimate of the deformation gradient combines a residual estimate and an a posteriori stability analysis. The residual is decomposed into the residual due to the approximation of the stored energy and that due to the approximation of the external force, and are bounded in negative Sobolev norms. In addition, the error estimate of the total energy using the error estimate of the deformation gradient is also presented. Finally, numerical experiments are provided to illustrate our analysis.
Quasi-Maximum Likelihood Estimation of Structural Equation Models With Multiple Interaction and Quadratic Effects

In this article, a nonlinear structural equation model is introduced and a quasi-maximum likelihood method for simultaneous estimation and testing of multiple nonlinear effects is developed. The focus of the new methodology lies on efficiency, robustness, and computational practicability. Monte-Carlo studies indicate that the method is highly efficient and that the likelihood ratio test of nonlinear effects is robust and outperforms alternative testing procedures. The new method is applied to empirical data of middle-aged men, where a latent interaction between physical fitness and flexibility in goal adjustment on complaint level is hypothesized. A model with 5 simultaneous nonlinear effects is analyzed, and the hypothesized interaction is quantified and tested positively against an additive model with quadratic and linear effects.
Adenosine A2A Receptors in Bone Marrow-Derived Cells But Not in Forebrain Neurons Are Important Contributors to 3-Nitropropionic Acid-Induced Striatal Damage as Revealed by Cell-Type-Selective Inactivation

Endogenous adenosine acting at the adenosine A2A receptor (A2AR) can modify brain injury in a variety of neurological disorder models. However, both A2AR activation and inactivation have been shown to be neuroprotective in different situations, raising the intriguing possibility that A2ARs in distinct cellular elements may have different and even opposing effects. In this study, we developed three novel transgenic models to dissect out cell-type-specific actions of A2ARs on striatal damage by the mitochondrial toxin 3-nitropropionic acid (3-NP). Whereas global inactivation of A2ARs exacerbated 3-NP-induced neurological deficit behaviors and striatal damage, selective inactivation of A2ARs in forebrain neurons (using the Cre/loxP strategy) did not affect neurological deficit or striatal damage after the acute systemic treatment of 3-NP and intrastriatal injection of malonate. However, selective inactivation of A2ARs in bone marrow-derived cells (BMDCs) by transplanting bone marrow cells from global A2AR knock-out (KO) mice into wild-type C57BL/6 mice produced a similar phenotype of global A2AR KO mice, i.e., exacerbation of 3-NP-induced striatal damage. Thus, cell-type-selective inactivation of A2ARs reveals that A2ARs in BMDCs but not in forebrain neurons are an important contributor to striatal damage induced by mitochondrial dysfunction.
Evaluating large-scale distributed vertical search

Aggregating search results from a variety of distributed heterogeneous sources, i.e. so-called verticals, such as news, image, video and blog, into a single interface has become a popular paradigm in large-scale web search. As various distributed vertical search techniques (also as known as aggregated search) have been proposed, it is crucial that we need to be able to properly evaluate those systems on a large-scale standard test set. A test collection for aggregated search requires a number of verticals, each populated by items (e.g. documents, images, etc) of that vertical type, a set of topics expressing information needs relating to one or more verticals, and relevance assessments, indicating the relevance of the items and their associated verticals to each of the topics. Building a large-scale test collection for aggregate search is costly in terms of time and resources. In this paper, we propose a methodology to build such a test collection reusing existing test collections, which allows the investigation of aggregated search approaches. We report on experiments, based on twelve simulated aggregated search systems, that show the impact of misclassification of items into verticals to the evaluation of systems.
Implicit attitudes, physical activity and self-regulatory capacity

ii Dedication . iii Acknowledgments . iv Vita . v List of Tables . vii List of Figures . viii Chapter 1: Background and Significance . 1 Chapter 2: Research Design and Methods . 14 Chapter 3: Results . 26 Chapter 4: Discussion . 30 References . 36 Appendix A: Tables . 44 Appendix B: Figures . 53 Appendix C: Self-report measures . 55 Appendix D: Implicit association test stimuli . 69
Mapping of Scientific Workflow within the e-Protein project to Distributed Resources

The e-Protein project, a BBSRC pilot project, aims to examine the issues in building a structure-based annotation of the proteins in the major genomes by linking resources (computing, software and databases) at three sites using Grid technologies. This paper describes the implementation of the Imperial College annotation pipeline (3D-GENOMICS) within ICENI. The scientific problem of large-scale protein analysis is addressed along with a solution for mapping workflow within the project to components on distributed resources.
Procedia Social and Behavioral Sciences Evaluation of International Student Satisfaction Using Fuzzy Importance-performance Analysis

This paper aimed to discover the dynamics attracting foreign students to pursue higher education in Taiwan. Internationalization in higher education has long been a topic of interest for many researchers. A significant body of literature has focused on the dynamics behind student mobility. In general, these studies used pull-push terminology to explain student mobility, as well as suggesting that there were factors in the host countries pulling the students to choose particular destinations and/or push factors in home countries pushing the students to choose a particular host country. What attracts students from developing or developed countries to choose a developing country for higher education study remains something of a mystery, however. This research used the Stratified Random Sampling Method and selected 130 international students from northern, southern and central Taiwan as a sample. Fuzzy Importance-Performance Analysis revealed the degree of importance and satisfaction of the international students with the chosen education environment. The findings could help to attract international students to study at universities in Taiwan.