Miracle-dz/UniFAR-FTUs huggingface dataset:
Implicit and explicit attitudes toward ex‐partners differentially predict breakup adjustment

The present research examined the hypothesis that positive implicit attitudes toward a former romantic partner might be detrimental to well-being as these attitudes lead to more suffering. In a cross-sectional study (N = 144), implicit ex-partner attitudes measured with an Affect Misattribution Procedure were negatively related to well-being only for those participants who had not found a new partner after breakup. In contrast, positive explicit ex-partner attitudes were related to greater well-being, again only for those who were still alone. Contrary to the view that time will heal all wounds, the current research suggests that engaging with a new partner will make both implicit and explicit ex-partner attitudes irrelevant. One of the most fundamental constructs of relationship psychology is the mental representation of the relationship that has been identified as the “internal working model” in attachment theory (Bowlby, 1973), or “relational schema” (Baldwin, 1992) in the more recent relationship psychology anchored in social cognition. The relational schema combines relationship-specific mental representations of the self, of the relationship partner, and of the if–then contingencies that form relationship-specific behavior patterns. From the early days of relationship research reaching back to Freud (1917), to the more recent variants of object relation theory from Bowlby (1969, 1973) to Westen (1991), scholars of personal relationships have postulated that relational schemas are partially unconscious or can be activated outside of awareness, but can nevertheless influence affect, self-esteem,
3D Face Recognition in the Presence of Expression: A Guidance-based Constraint Deformation Approach

Three-dimensional human face recognition in the presence of expression is a big challenge, since the shape distortion caused by facial expression greatly weakens the rigid matching. This paper proposes a guidance-based constraint deformation(GCD) model to cope with the shape distortion by expression. The basic idea is that, the face model with non-neutral expression is deformed toward its neutral one under certain constraint so that the distortion is reduced while inter-class discriminative information is preserved. The GCD model exploits the neutral 3D face shape to guide the deformation, meanwhile applies a rigid constraint on it. Both steps are smoothly unified in the Poisson equation framework. The GCD approach only needs one neutral model for each person in the gallery. The experimental results, carried out on the large 3D face databases-FRGC v2.0, demonstrate that our method significantly outperforms ICP method for both identification and authentication mode. It shows the GCD model is promising for coping with the shape distortion in 3D face recognition.
What is required for data assimilation that is applicable to big data in the solid Earth science? Importance of simulation-/data-driven data assimilation

Data assimilation (DA), which integrates numerical simulation models and observation data based on the Bayesian statistics, has been spreading its application field including the solid Earth science. However, the current DA is a sort of a deductive modeling method strongly depending on given simulation models, so that it never extracts, from big data, information that is beyond a priori assumptions of the simulation models. The present tutorial paper discusses the limitation of the current DA, and indicates an orientation how to implement data-driven modeling methods on DA procedure. Sparse modeling such as lasso has a potential to realize this, although specific methods are still under investigation.
The relationships among network ties, organizational agility, and organizational performance: A study of the flat glass industry in Taiwan

Abstract Firms face a rapidly changing market environment under the pressure of difficult challenges such as limited resources and increasing costs. Organizations may actively seek to cooperate with other members for benefits from knowledge sharing. Establishing quality network ties among suppliers and customers is a significant study subject. Here, we assessed the impact of the signing of the Economic Cooperation Framework Agreement on Taiwan flat glass industry and study measures adopted by the manufacturers. The effective sample size is 250. We found that through the intermediary of organizational agility and strong network ties, a firm can enhance its organizational performance.
In-vivo assessing the age-related stiffness of crystalline lens in rabbits by acoustic radiation force based ultrasound elastography

The pathological or physiological changes of the crystalline lens directly affect the eye accommodation and transmittance, and then increase the risk of the presbyopia and cataract for people in middle and old age groups. This risk has a remarkable rise with age, seriously influencing the living quality of the elderly, and also posing a huge burden on public health. There is no universally accepted quantitative method to measure the lens' mechanical properties in vivo so far. Acoustic radiation force based ultrasound elastography (ARF-USE) have special advantage for assessing lens'stiffness since it can palpate the tissue remotely and detect the vibration using one ultrasound probe. This study aims to investigate the possibility of assessing the age-related stiffness change of crystalline lens by ARF-USE in a rabbit model in vivo.
3D imaging of microscopic structures using a proton beam

The use of a 1/spl mu/m ion beam as a tomographic probe could constitute a powerful tool for displaying the 3D structure of samples a few tens or hundreds of micrometers thick in a nondestructive way. At the Centre d'Etudes Nucle/spl acute/aires de Bordeaux-Gradignan (CENBG), Gradignan, France, ion beam microtomography has been developed for biomedical applications at the cell level. The internal structure of cancer cells has been explored using scanning transmission ion microscopy (STIM) tomography, giving access to the 3D distribution of mass density (in g/cm/sup 3/) within the analyzed volume. The sole sample preparation required is cryofixation and freeze-drying, permitting under vacuum analysis. The combination of STIM and particle induced X-ray emission (PIXE) tomography is under progress with the aim of revealing the distributions and local concentrations of elements at the cell level.
Magnetophotonic crystals

When the constitutive materials of photonic crystals (PCs) are magnetic, or even only a defect introduced in PCs is magnetic, the resultant PCs exhibit very unique optical and magneto-optical properties. The strong photon confinement in the vicinity of magnetic defects results in large enhancement in linear and nonlinear magneto-optical responses of the media. Novel functions, such as band Faraday effect, magnetic super-prism effect and non-reciprocal or magnetically controllable photonic band structure, are predicted to occur theoretically. All the unique features of the media arise from the existence of magnetization in media, and hence they are called magnetophotonic crystals providing the spin-dependent nature in PCs.
Fibroblast-Like Cells Differentiated from Adipose-Derived Mesenchymal Stem Cells for Vocal Fold Wound Healing

Tissue engineering has revealed the potential to regenerate injured vocal folds, and identification of the most suitable seed cells has remained a hot topic of research. The aim of this study was to implant fibroblast-like cells differentiated from adipose-derived mesenchymal stem cells (ADSCs) in a canine acute vocal fold wound model. We then sought to characterize changes in the extracellular matrix (ECM) proteins of vocal fold lamina propria. For this purpose, ADSCs were induced to differentiate into fibroblasts under the regulation of connective tissue growth factor in vitro. Cell surface proteins were identified by immunofluorescence staining. Thirty vocal folds of 17 canines were injured by localized resection and injected with fibroblast-like cells (differentiated ADSCs, dADSCs), ADSCs or vocal fold fibroblasts (VFFs). The morphology of vocal folds was observed, and the characteristics of ECM protein components (collagen, elastin, hyaluronic acid, decorin and fibronectin) were evaluated by immunofluorescence staining from 15 days to 6 months following implantation. The results showed that in vitro, the dADSCs showed morphology and cell surface protein expression similar to those of VFFs. After implantation in vivo, the surfaces of the recipient vocal folds became almost smooth in the dADSCs and ADSCs groups at 6 months but remained slightly concave and stiff in the VFFs group. The elastin fluorescence intensity increased significantly and was maintained at a high level in the dADSCs group. The collagen fluorescence intensity increased slightly in the dADSCs and ADSCs groups, whereas it demonstrated a more irregular arrangement in the VFFs group. The fluorescence intensity of hyaluronic acid, decorin and fibronectin was similar between the three implanted groups. These results indicated that dADSCs may confer an advantage for vocal fold wound healing. Furthermore, dADSCs have the ability to secrete ECM components in vivo, particularly elastin, which may be beneficial for vocal fold vibration recovery.
Taxonomic Ontology Alignment - an Implementation

With the evolution of the Web evolving towards the Semantic Web, where the information should be presented in a meaningful way for both humans and machines, arises the need for semantic interoperability. By interoperability we understand the use of meaningful representation mechanisms that allow for information exchange among agents. There is a consensus that ontologies will be this representation model. The information exchange process depends on our ability to engage two or more ontologies in conversation. In this paper the focus is on the compatibility of different ontologies. We propose a strategy for automatic alignment of ontologies, implemented by an ontology taxonomic alignment component the CATO component.
Narrow Ka Bandpass Filters Made Of High Permittivity Ceramic By Layer-By-Layer Polymer Stereolithography

Electromagnetic bandgap (EBG) concept is used to create cavity by dimensioning a variant cell (or defect) inside a 2D EBG material. Compact high unloaded Q cavity (Qu ~ 2500) and narrow two and three pole filters are designed in Ka band. They are manufactured by layer-by-layer stereolithography and made out of high permittivity yttria-stabilized Zirconia. Measurements of the three pole filter working at 33.45GHz exhibits an 1.05% bandwidth and an insertion loss of 1.7dB. These specifications are close to the theoretical values of 33GHz (1.5% shift in central working frequency) and 0.95% bandwidth
Adoption with complications: Conversations with adoptees and adoptive parents on everyday racism and ethnic identity

This study is based on qualitative interviews with 20 adult international adoptees of colour and eight adoptive parents with internationally adopted children in Sweden regarding their experiences of racialization, ethnic identifications and coping strategies. The findings suggest that the non-white bodies of the adoptees are constantly made significant in their everyday lives in interactions with the white Swedish majority population, whether expressed as ‘curious questions’ concerning the ethnic origin of the adoptees or as outright aggressive racialization. The study argues that race has to be taken into consideration by Swedish adoption research and the Swedish adoption community, to be able to fully grasp the high preponderance of psychic ill health among adult adoptees as found by quantitative adoption research.
Pedestrian recognition based on hierarchical codebook of SURF features in visible and infrared images

One of the main challenges in Intelligent Vehicle is recognition of road obstacles. Our goal is to design a real-time, precise and robust pedestrian recognition system. We choose to use Speeded Up Robust Features (SURF) and a Support Vector Machine (SVM) classifier in order to perform the recognition task. Our main contribution is a method for fast computation of discriminative features for pedestrian recognition. Fast features extraction is assured by using a hierarchical codebook of scale and rotation-invariant SURF features. We evaluate our approach for pedestrian recognition in a set of images where people occur at different scales and in difficult recognition situations. The system shows good performance in visible and especially in infrared images. Besides, experimental results show that the hierarchical structure presents a major interest not only for maintaining a reasonable feature extraction time, but also for improving classification results.
The Logical Framework

1 Quick-start: The Logical Framework in a Nutshell . 1 2 Concept . 3 2.1 Approach. 3 2.2 Matrix . 3 2.3 Process . 4 When to use it ? 4 Where to start from ? 4 Who should be involved ? 4 What else to consider ? 4 2.4 Limitations . 5 2.5 Link to Results-based Management . 5 3 Application. 7 3.1 Steps. 7 3.2 Problem Analysis. 8 3.3 Stakeholder Analysis . 8 3.4 Objective Tree . 9 3.5 Strategy of Intervention . 9 4 The Matrix.10 4.1 Format.10 Terminology . 10 Project Management's Scope for Control. 11 4.2 Vertical Logic.12 4.3 External Factors . 12 4.4 Horizontal Logic.13 5 Looking for Additional Support & Information . 13 Looking for Support ? 13 Useful links / related documents . 13
LeVinQam: a question answering mining platform

The development of Web technologies has accelerated the offer of (commercial) e-learning platforms. This paper is a first step toward the design and implementation of a platform called LeVin-Qam whose main functionalities are: (a) the provision and management of a series of exercises and tests (authoring tools); (b) a personalized navigation through the existing collection of exercises and tests, taking into account the user profile (level of skills) and history; (c) the analysis of user answers, its storing into a database and its mining. As case studies we have chosen (1) the learning of SQL, the standard database query language, and (2) formal proofs for propositional logic, to validate the platform functionalities and the mining of answers.
Parental bonding and character strengths among Chinese adolescents in Hong Kong

This study investigates the ways in which parental care and parental control affect adolescents' character strengths in the areas of authenticity, bravery, perseverance, kindness, love, social intelligence, fairness and self-regulation. The basic premise is that these two parental bonding factors may have different effects on adolescent outcomes. To test this conjecture, we use survey data collected from a territory-wide sample of 2010 Chinese adolescents recruited from 17 secondary schools located in different districts of Hong Kong. The results support our hypotheses that parental care and parental control have significantly positive and negative effects, respectively, on the above character strengths. In addition, the results indicate that gender has significant effects on authenticity, bravery, kindness and love whereas age has significant effects on kindness and fairness. The implications of the findings for further research and service provision are discussed.
Brand Portfolio Strategy and Firm Performance

Most large firms operating in consumer markets own and market more than one brand (i.e., they have a brand portfolio). Although firms make corporate-level strategic decisions regarding their brand portfolio, little is known about whether and how a firm's brand portfolio strategy is linked to its business performance. Using data from the American Customer Satisfaction Index and other secondary sources, the authors examine the impact of the scope, competition, and positioning characteristics of brand portfolios on the marketing and financial performance of 72 large publicly traded firms operating in consumer markets over ten years (from 1994 to 2003). Controlling for several industry and firm characteristics, the authors analyze the relationship between five specific brand portfolio characteristics (number of brands owned, number of segments in which they are marketed, degree to which the brands in the firm's portfolio compete with one another, and consumer perceptions of the quality and price of the brands in the firm's portfolio) and firms’ marketing effectiveness (consumer loyalty and market share), marketing efficiency (ratio of advertising spending to sales and ratio of selling, general, and administrative expenses to sales), and financial performance (Tobin's q, cash flow, and cash flow variability). They find that each of these five brand portfolio characteristics explains significant variance in five or more of the seven aspects of firms’ marketing and financial performance examined.
Determining Multiple Steady-State ZCS Operating Points of a Switch-Mode Contactless Power Transfer System

This paper presents a new method for accurately determining all possible steady-state operating points of a switch-mode contactless power transfer (CPT) system. The method is based on a stroboscopic mapping model and accurate calculation of its fixed points corresponding to circuit zero current switching (ZCS) conditions. Four steady-state operating points are identified for, e.g., inductor-capacitor-inductor ( LCL)-type CPT system. Voltage and current waveforms and switching periods are determined. Parameter influences on ZCS periods are studied by bifurcation diagrams. Both PSpice simulation and experimental results have verified the proposed method. The results provide new opportunities for a practical CPT system to operate at different soft switching frequencies. The method is very useful for analyzing switch-mode resonant circuits and designing new power flow controllers.
Evaluation of Colour Image Segmentation Hierarchies

Image segmentation is a key low-level vision process for many tasks in image understanding and applications in image processing. The groups of related pixels produced by a segmentation are expected to reveal some information about the objects in a scene. Many equally valid segmentations exist for most images depending on the context of the segmentation, in particular, the levelof- detail. Segmentation hierarchies can represent different level-of-detail simultaneously. In this paper, we employ the Earth Mover’s Distance (EMD) as a segmentation criterion in a hierarchical colour segmentation algorithm. The use of EMD is motivated by its success in content-based image retrieval based on colour signatures. We also develop a novel evaluation method which looks at the stability of segmentation hierarchies in stereo images. This evaluation method allows us to compare the EMD segmentation criterion with variants and with criterions based on mean colour.
Risk Communication: A Mental Models Approach

1. Introduction 2. The Carnegie Mellon mental models approach 3. Creating an expert model of the risk 4. Mental model interviews 5. Confirmatory questionnaires 6. Development and evaluation of communications 7. Case studies: applications to environmental risks 8. A mental models approach to HIV/AIDS 9. Some concluding remarks Appendices.
User applications driven by the community contribution framework MPContribs in the Materials Project

This work discusses how the MPContribs framework in the Materials Project (MP) allows user‐contributed data to be shown and analyzed alongside the core MP database. The MP is a searchable database of electronic structure properties of over 65,000 bulk solid materials, which is accessible through a web‐based science‐gateway. We describe the motivation for enabling user contributions to the materials data and present the framework's features and challenges in the context of two real applications. These use cases illustrate how scientific collaborations can build applications with their own ‘user‐contributed’ data using MPContribs. The Nanoporous Materials Explorer application provides a unique search interface to a novel dataset of hundreds of thousands of materials, each with tables of user‐contributed values related to material adsorption and density at varying temperature and pressure. The Unified Theoretical and Experimental X‐ray Spectroscopy application discusses a full workflow for the association, dissemination, and combined analyses of experimental data from the Advanced Light Source with MP's theoretical core data, using MPContribs tools for data formatting, management, and exploration. The capabilities being developed for these collaborations are serving as the model for how new materials data can be incorporated into the MP website with minimal staff overhead while giving powerful tools for data search and display to the user community. Copyright © 2015 John Wiley & Sons, Ltd.
An Efficient Data Management Scheme Based on Spatial and Temporal Characteristics in Virtual Environments

In a distributed interactive walkthrough system, there are two major bottlenecks which cause performance degradation. One is the server-side workload in the client-server architecture; the other is the network transmission delay. In this paper, we present a knowledge-based data management scheme which takes consideration of both internal (memory) and external (disk) data storage management to ease server-side workload and reduce network transmissions. Our system first analyzes users' logs to discover the spatial and temporal semantic patterns in the virtual environment. Using these patterns, we can determine the proper data layout on disk, and better improve our caching mechanism. Experimental results show good prediction rates and achieve improvements in overall system performance
A Closer Look Into the Multi‐Layer Structure of Motivational Intensity Theory

Drawing on the idea that humans aim to avoid wasting energy that is important for survival, motivational intensity theory postulates that task difficulty and success importance determine energy investment. Additionally, the theory makes predictions on how task characteristics moderate the relationship between task difficulty, success importance, and energy investment. In this article, I will show how the different predictions of motivational intensity theory relate to one another and to what extent they can be derived from the fundamental principle of energy conservation. I will also discuss the application of the theory to effort mobilization and cardiovascular reactivity. Specifically, I will discuss the additional assumptions and predictions that are necessary to link these applications to motivational intensity theory’s basic rationale, the energy conservation principle.