Miracle-dz/UniFAR-FTUs huggingface dataset:
The aftermath of organizational restructuring: Destruction of old and development of new social capital

Purpose – This study seeks to examine the association of employee's evaluation of organizational restructuring with the destruction of old social capital, development of new social capital, and the mediating role of perceived organizational support (POS). Design/methodology/approach – Data were used from 419 teachers of Dutch secondary schools using hierarchical regression analyses.Findings – Results show that more positive employees' evaluation of the organizational restructuring are less likely to remain relying on old social capital resources, and score higher on development of new social capital. Moreover, POS mediated the association of employee's evaluation of the organizational restructuring with old and new social capital.Research limitations/implications – Future research, utilizing longitudinal designs and experiments that better lend it to causal inferences, are needed to examine relationships between organizational restructuring, POS, and social capital.Originality/value – The results of this s.
Spontaneous oscillation due to charging effect in MEMS RF switches

A spontaneous oscillation due to charging effect in an RF MEMS switch was investigated. When an RF MEMS switch opens from its contact mode, a nano-scale gap is formed and the charges accumulate between the movable and fixed electrodes, which cause a strong attractive force in the gap. The attractive force draws the electrodes to contact each other again, thus the charges are neutralized. As the charges are cyclically accumulated and dissipated, the intermittent excessive electrostatic force is generated, leading to the repeated pull-in/contact/pull-out motions at tens of kHz. The lifetime of MEMS switches was reduced because the electrode surfaces were degraded after cyclical excessive contacts by the oscillations. The spontaneous oscillation was analyzed theoretically by the extended Qucs model. The experiments were performed to validate the investigated effect of the spontaneous oscillation.
Practical pinch detection algorithm for low-cost anti-pinch window control system

A practical pinch torque estimator based on the Hinfin filter is proposed for low-cost anti-pinch window control systems. To obtain the acceptable angular velocity measurements from Hall-effect sensor outputs, the angular velocity calculation algorithm is proposed with the measurement noise reduction logics. Apart from the previous works based on the angular velocity or torque estimates for detecting the pinched condition, the proposed pinch detection algorithm makes use of the torque rate information. To do this, the torque rate is augmented to the system model and the torque rate estimator is derived by applying the steady-state Hinfin filter recursion to the model. The motivation of this approach comes from the idea that the torque rate is less sensitive to the motor parameter uncertainties. Moreover, the statistics of modelling errors and angular velocity measurement noises are actually unknown. Hence, the proposed scheme minimizes the anti-pinch window control system's exposure to the false alarm. To detect the pinched condition, a systematic way to determine the threshold level of the torque rate estimates is also suggested via the deterministic estimation error analysis. Experimental results certify the pinch detection performance of the proposed algorithm and its robustness against the motor parameter uncertainties
Relating gaming habits with student performance in a gamified learning experience

Gamified education is a novel concept, and early trials show its potential to engage students and improve their performance. However, little is known about how different students learn with gamification, and how their gaming habits influence their experience. In this paper we present a study where data regarding student performance and gaming preferences, from a gamified engineering course, was collected and analyzed. We performed cluster analysis to understand what different kinds of students could be observed in our gamified experience, and how their behavior could be correlated to their gaming characteristics. We identified four main student types: the Achievers, the Regular students, the Halfhearted students, and the Underachievers, all representing different strategies towards the course and with different gaming preferences. Here we will thoroughly describe each student type and address how different gaming preferences might have impacted the students' learning experience.
Higher Order Correlations within Cortical Layers Dominate Functional Connectivity in Microcolumns

We report on simultaneous recordings from cells in all layers of visual cortex and models developed to capture the higher order structure of population spiking activity. Specifically, we use Ising, Restricted Boltzmann Machine (RBM) and semi-Restricted Boltzmann Machine (sRBM) models to reveal laminar patterns of activity. While the Ising model describes only pairwise couplings, the RBM and sRBM capture higher-order dependencies using hidden units. Applied to 32- channel polytrode data recorded from cat visual cortex, the higher-order mod- els discover functional connectivity preferentially linking groups of cells within a cortical layer. Both RBM and sRBM models outperform Ising models in log- likelihood. Additionally, we train all three models on spatiotemporal sequences of states, exposing temporal structure and allowing us to predict spiking from network history. This demonstrates the importance of modeling higher order in- teractions across space and time when characterizing activity in cortical networks.
Mentalizing in the Development and Treatment of Attachment Trauma

This book brings together the latest knowledge from attachment research and neuroscience to provide a new approach to treating trauma for therapists from different professional disciplines and diverse theoretical backgrounds.The field of trauma suffers from fragmentation as brands of therapy proliferate in relation to a multiplicity of psychiatric disorders. This fragmentation calls for a fresh clinical approach to treating trauma. Pinpointing at once the problem and potential solution, the author places the experience of being psychologically alone in unbearable emotional states at the heart of trauma in attachment relationships. This trauma results from a failure of mentalizing, that is, empathic attunement to emotional distress. Psychotherapy offers an opportunity for healing by restoring mentalizing, that is, fostering psychological attunement in the context of secure attachment relationships-in the psychotherapy relationship and in other attachment relationships. The book gives a unique overview of common attachment patterns in childhood and adulthood, setting the stage for understanding attachment trauma, which is most conspicuous in maltreatment but also more subtly evident in early and repeated failures of attunement in attachment relationships. For the first time, the burgeoning literature on mindfulness is integrated with the overlapping literature on mentalizing. Current research in neuroscience is linked to the main clinical concerns: attachment, mentalizing, mindfulness, and trauma. Creatively integrating these diverse perspectives, the author offers an up-to-date scientific explanation of trauma and treatment while writing in plain language without jargon for a broad audience. Thus the book is not only an essential resource for psychotherapists and counselors but also an ideal guide to give to clients to help them understand their condition and the process of healing.
Importance of intrinsic and non-network contribution in PageRank centrality and its effect on PageRank localization

PageRank centrality is used by Google for ranking web-pages to present search result for a user query. Here, we have shown that PageRank value of a vertex also depends on its intrinsic, non-network contribution. If the intrinsic, non-network contributions of the vertices are proportional to their degrees or zeros, then their PageRank centralities become proportion to their degrees. Some simulations and empirical data are used to support our study. In addition, we have shown that localization of PageRank centrality depends upon the same intrinsic, non-network contribution.
The Expression of Human Microsomal Epoxide Hydrolase Is Predominantly Driven by a Genetically Polymorphic Far Upstream Promoter

Microsomal epoxide hydrolase (EPHX1) biotransforms epoxide derivatives of pharmaceuticals, including metabolites of certain antiepileptic medications, such as phenytoin and carbamazepine, and many environmental epoxides, such as those derived from butadiene, benzene, and carcinogenic polyaromatic hydrocarbons. We previously identified a far upstream promoter region, designated E1-b, in the EPHX1 gene that directs expression of an alternatively spliced EPHX1 mRNA transcript in human tissues. In this investigation, we characterized the structural features and expression character of the E1-b promoter region. Results of quantitative real-time polymerase chain reaction analyses demonstrated that the E1-b variant transcript is preferentially and broadly expressed in most tissues, such that it accounts for the majority of total EPHX1 transcript in vivo. Comparative genomic sequence comparisons indicated that the human EPHX1 E1-b gene regulatory region is primate-specific. Direct sequencing and genotyping approaches in 450 individuals demonstrated that the E1-b promoter region harbors a series of transposable element cassettes, including a polymorphic double Alu insertion. Results of reporter assays conducted in several human cell lines demonstrated that the inclusion of the Alu(+/+) insertion significantly decreases basal transcriptional activities. Furthermore, using haplotype block analyses, we determined that the E1-b polymorphic promoter region was not in linkage disequilibrium with two previously identified nonsynonomous single nucleotide polymorphisms (SNPs) in the coding region or with functional SNPs previously identified in the proximal promoter region of the gene. These results demonstrate that the upstream E1-b promoter is the major regulator of EPHX1 expression in human tissues and that polymorphism in this region may contribute an interindividual risk determinant to xenobiotic-induced toxicities.
Probability of Success in Primary Flight Training as a Function of ASTB Scores and API Grades: An Example of the Statistical Inferencing Component of the Pilot Prediction System.

Abstract : The Pilot Prediction System (PPS) is a research effort designed to provide Navy managers and other decision makers with improved access to selection and training data. Many disparate data bases, each containing partial and sometimes overlapping information on selection data and training performance, currently exist. There has been no attempt to coordinate the bits and pieces gathered into these local databases into a coherent whole. Such data needs to be merged and the anomalies excised so that a more global picture of selection data and training performance can emerge. In addition, the targeted users of the PPS should be shielded from the low-level technicalities of the data base because such technical details are of no concern to them. For the same reason, the statistical manipulations that provide extrapolations from the data base to new cases can be hidden from view. This report documents the first efforts at constructing the statistical modeling component of the PPS as derived from Bayesian statistical decision theory. It enables the potential user of the PPS to predict success in primary flight training for flight students based on their scores on selection tests and ground school performance.
Krylov subspace iterative methods for nonsymmetric discrete ill-posed problems in image restoration

The BiCG and QMR methods are well-known Krylov subspace iterative methods for the solution of linear systems of equations with a large nonsymmetric, nonsingular matrix. However, little is known of the performance of these methods when they are applied to the computation of approximate solutions of linear systems of equations with a matrix of ill-determined rank. Such linear systems are known as linear discrete ill-posed problems. We describe an application of the BiCG and QMR methods to the solution of linear discrete ill-posed problems that arise in image restoration, and compare these methods to the conjugate gradient method applied to the associated normal equations and to total variation-penalized Tikhonov regularization.
InP-based lasers and photonic crystals devices for integrated photonics

In this paper, some of the activities towards the fabrication of photonic integrated circuits at the COBRA Research Institute are summarized. Firstly, rate equations are used for the understanding of instability and dynamics in multilongitudinal mode semiconductor lasers. Secondly, we report the results of our investigation on broad-bandwidth frequency comb generators based on novel mode-locked InAs/InGaAsP/InP quantum dot laser diodes. In addition, we will show the integration of two-dimensional pillar-based photonic crystal waveguides in an InGaAsP/InP photonic integrated circuit.
The Role of Implicit Schema Constructs in Data Quality

This paper presents a comprehensive approach to legacy data quality assessment and improvement. It is based on an initial database reverse engineering phase that allows to recover implicit constructs, that is, structures and constraints that have not been explicitly declared in the database schema, using program analysis techniques. These constructs then serve as a basis for detecting data inconsistencies, identifying unsafe program fragments, and proposing necessary improvements at both the database and program sides.
Urban Change and the European Left: Tales from the New Barcelona

Urban Change and the European Left looks at the way politicians and critics use the city to ground their political messages. The book explores local narratives of urban change through ethnography, biography, travelogue, and social history. Drawing on novels, architectural commentaries, urban plans, political speeches, history and autobiography, Urban Change and the European Left provides accounts of public art, architecture, grassroots struggles, battles for control of the 1992 Olympics, and the city and Catalan identity.
Understanding Abnormal Child Psychology

Preface.FOUNDATIONS. Conceptualizations of Normality and Abnormality in Children and Adolescents.Theories of Normality and Abnormality in Children and Adolescents.Ethics in Working with Children and Families.Research Methods in the Study of Developmental Psychopathology.Assessment of Emotional/Behavioral Problems in Children and Adolescents.Therapeutic Interventions with Children, Adolescents, and Families.RISK AND PROTECTIVE FACTORS.Risk Factors and Issues of Prevention.Protective Factors and Issues of Prevention.INTERNALIZING PROBLEMS.Mood Disorders, Depressive Syndromes, and Depressive Moods.Anxiety Disorders and Problems with Anxiety.EXTERNALIZING PROBLEMS.Attention Deficit/Hyperactivity Disorder and Related Problems.Disruptive Disorders, Oppositional Problems, and Conduct Problems.Alcohol and Substance Use and Abuse.OTHER PROBLEMS.Severe and Persistent Disorders: Pervasive Developmental Disorders, Developmental Disabilities, and Schizophrenia in Childhood and Adolescence.Learning Disorders and Problems in Learning.Pediatric Psychology and Health Psychology for Children and Adolescents.APPLYING WHAT YOU'VE LEARNED.Ways to Help children.References. Index.
Full PEEC Modeling of EMI Filter Inductors in the Frequency Domain

In this paper, the performance of a new method based on the coupling of the partial element equivalent circuit method and boundary integral method (the PEEC-BIM method) for 3D modeling of toroidal inductors, which are typically used in electromagnetic interference (EMI) filter applications, is presented. The presence of magnetic materials is modeled by replacing the surface of magnetic regions with an equivalent distribution of fictitious current loops. It is shown that the influence of the magnetic core on the impedance and the stray field of EMI filter inductors can be modeled and explained in detail by PEEC-BIM simulation results. The developed PEEC-BIM approach is verified by both 3D finite-element method (FEM) simulations and near-field measurements for different winding configurations and magnetic cores. Regarding computational complexity, the developed PEEC-BIM method applied to toroidal inductors performs extremely well. The PEEC-BIM simulation is at least twice faster than the corresponding FEM-based analysis. The PEEC-BIM method has been implemented in a PEEC-based simulation tool, which facilitates the simulation of entire EMI filter structures.
Toward Autonomous Child-Robot Interaction : Development of an Interactive Architecture for the Humanoid Kaspar Robot

Recently, the development and deployment of social robots to support children with autism spectrum conditions (ASC) has attracted the attention of researchers in different fields. The main aim of this multidisciplinary research field is to teach and improve the social skills and capabilities of the children through interacting and playing with robots however, due to the spontaneous nature of children with ASC, as well as the inherent complexity of developing autonomous interactive robots, creating such systems is a challenging task. In this paper, we present our progress in the context of the BabyRobot project, towards developing an interactive humanoid robot to support autonomous child-robot interactions (CRI). We have been developing an interactive sensethink-act architecture to enable the humanoid robot Kaspar to display goal-oriented adaptive behaviours while playing, communicating, and collaborating with children. The final part of this paper reports on the initial tests of the proposed interactive architecture.
An Ontology Based Personalised Mobile Search Engine Mrs .

As the amount of Web information grows rapidly, Search engines must be able to retrieve information according to the user's preference. In this paper, we propose Ontology Based Personalised Mobile Search Engine (OBPMSE) that captures user‟s interest and preferences in the form of concepts by mining search results and their clickthroughs. OBPMSE profile the user‟s interest and personalised the search results according to user‟s profile. OBPMSE classifies these concepts into content concepts and location concepts. In addition, users‟ locations (positioned by GPS) are used to supplement the location concepts in OBPMSE. The user preferences are organized in an ontology-based, multifacet user profile, used to adapt a personalized ranking function which in turn used for rank adaptation of future search results. we propose to define personalization effectiveness based on the entropies and use it to balance the weights between the content and location facets. In our design, the client collects and stores locally the clickthrough data to protect privacy, whereas heavy tasks such as concept extraction ,training, and reranking are performed at the OBPMSE server. OBPMSE provide clientserver architecture and distribute the task to each individual component to decrease the complexity. KeywordsClickthrough data,ontology, personalisation, reranking, user profiling
Electronic Reprint Biological Crystallography Automated Ligand Fitting by Core-fragment Fitting and Extension into Density Biological Crystallography Automated Ligand Fitting by Core-fragment Fitting and Extension into Density

Author(s) of this paper may load this reprint on their own web site provided that this cover page is retained. Republication of this article or its storage in electronic databases or the like is not permitted without prior permission in writing from the IUCr. A procedure for fitting of ligands to electron-density maps by first fitting a core fragment of the ligand to density and then extending the remainder of the ligand into density is presented. The approach was tested by fitting 9327 ligands over a wide range of resolutions (most are in the range 0.8–4.8 A ˚) from the Protein Data Bank (PDB) into (F o À F c) exp(i' c) difference density calculated using entries from the PDB without these ligands. The procedure was able to place 58% of these 9327 ligands within 2 A ˚ (r.m.s.d.) of the coordinates of the atoms in the original PDB entry for that ligand. The success of the fitting procedure was relatively insensitive to the size of the ligand in the range 10–100 non-H atoms and was only moderately sensitive to resolution, with the percentage of ligands placed near the coordinates of the original PDB entry for fits in the range 58–73% over all resolution ranges tested.
Place Attachment : Advances in Theory, Methods and Applications

Introduction Lynne C. Manzo and Patrick Devine Wright Part 1: Theory 1. Place Attachment and Phenomenology: The Synergistic Dynamism of Place David Seamon 2. Comparing the Theories of Interpersonal and Place Attachment Leila Scannell and Robert Gifford 3. Place Attachment in an Age of Mobility Per Gustafson 4. In Search of Roots: Memory as Enabler of Place Attachment Maria Lewicka 5. Community Place Attachment and its Role in Social Capital Development Nikolay Mihaylov and Douglas D. Perkins 6. Place Attachment as Discursive Practice Andres Di Masso, John Dixon, and Kevin Durrheim Part 2: Methods 7. "Beyond the Commodity Metaphor" Revisited: Some Methodological Reflections on Place Attachment Research Daniel Williams 8. Articulating Transnational Attachments through on-site Narratives Clare Rishbeth 9. Photo Based Methods for Understanding Place Meanings as Foundations of Attachment Richard Stedman 10. Theoretical and Methodological Aspects of Research on Place Attachment Bernardo Hernandez, M. Carmen Hidalgo, and Cristina Ruiz Part 3: Applications 11. "The Frayed Knot:" What Happens to Place Attachment in the Context of Serial Forced Displacement? Mindy Fullilove 12. Place Attachment, Community Identification and Pro-Environmental Engagement Giuseppe Carrus, Massimiliano Scopelliti, Ferdinando Fornara, Mirilia Bonnes, and Marino Bonaiuto 13. The Dynamics of Place Attachment in a Climate Changed World Patrick Devine-Wright 14. Exploring the Shadow Side: Place Attachment in the Context of Stigma, Displacement and social Housing Lynne C. Manzo 15. Do Not Detach! Instructions From and For Community Design Randolf T. Hester Jr.
Support Vector Machines for Segmental Minimum Bayes Risk Decoding

Segmental Minimum Bayes Risk (SMBR) Decoding is an approach wherebywe usea decodingcriterionthatis closelymatchedto theevaluationcriterion(Word Error Rate)for speechrecognition.This involves the refinementof the searchspaceinto manageableconfusionsets(ie, smallersetsof confusablewords). WeproposeusingSupportVectorMachines(SVMs)asadiscriminati vemodelin therefinedsearchspace.The hopeis wewill beableto useSVMseffectively whenthesearchproblem is brokendown into sequenceof independent andsimplerproblems.Our first approachwill beto useSVMsto makeharddecisions,ie, theSVMs will outputa word for eachconfusionset. We will thenshow that on usingasimplevotingschemeweimproveuponthebaselinesignificantly (10%relativeat 9%WER)on a smallvocabulary task.