Miracle-dz/UniFAR-FTUs huggingface dataset:
Handbook of emotion regulation

Part 1. Foundations. J.J. Gross, R.A. Thompson, Emotion Regulation: Conceptual Foundations. Part 2. Biological Bases. G.J. Quirk, Prefrontal-Amygdala Interactions in the Regulation of Fear. R.J. Davidson, A. Fox, N.H. Kalin, Neural Bases of Emotion Regulation in Nonhuman Primates and Humans. J.S. Beer, M.V. Lombardo, Insights into Emotion Regulation from Neuropsychology. K.N. Ochsner, J.J. Gross, The Neural Architecture of Emotion Regulation. A.R. Hariri, E.E. Forbes, Genetics of Emotion Regulation. Part 3. Cognitive Foundations. P.D. Zelazo, W.A. Cunningham Executive Function: Mechanisms Underlying Emotion Regulation. C. Peterson, N. Park, Explanatory Style and Emotion Regulation. G. Loewenstein, Affective Regulation and Affective Forecasting. S.M. McClure, M.M. Botvinick, N. Yeung, J.D. Greene, J.D. Cohen, Conflict Monitoring in Cognition-Emotion Competition. Part 4. Developmental Approaches. S.D. Calkins, A. Hill, Caregiver Influences on Emerging Emotion Regulation: Biological and Environmental Transactions in Early Development. R.A. Thompson, S. Meyer, Socialization of Emotion Regulation in the Family. H. Stegge, M.M. Terwogt, Awareness and Regulation of Emotion in Typical and Atypical development. N. Eisenberg, C. Hofer, J. Vaughan, Effortful Control and Its Socioemotional Consequences. S.T. Charles, L.L. Carstensen, Emotion Regulation and Aging. Part 5. Personality Processes and Individual Differences. M.K. Rothbart, B.E. Sheese, Temperament and Emotion Regulation. O.P. John, J.J. Gross, Individual Differences in Emotion Regulation. D. Westen, P. Blagov, A Clinical-Empirical Model of Emotion Regulation: From Defense and Motivated Reasoning to Emotional Constraint Satisfaction. T. Wranik, L.F. Barrett, P. Salovey, Intelligent Emotion Regulation: Is Knowledge Power? R.F. Baumeister, A.L. Zell, D.M. Tice, How Emotions Facilitate and Impair Self-Regulation. Part 6. Social Approaches. J.A. Bargh, L.E. Williams, The Nonconscious Regulation of Emotion. P.R. Shaver, M. Mikulincer, Adult Attachment Strategies and the Regulation of Emotion. B. Rime, Interpersonal Emotion Regulation. B. Mesquita, D. Albert, The Cultural Regulation of Emotions. F. Watts, Emotion Regulation and Religion. Part 7. Clinical Applications. B.C. Mullin, S.P. Hinshaw, Emotion Regulation and Externalizing Disorders in Children and Adolescents. L. Campbell-Sills, D.H. Barlow, Incorporating Emotion Regulation into Conceptualizations and Treatments of Anxiety and Mood Disorders. K.J. Sher, E.R. Grekin, Alcohol and Affect Regulation. M.M. Linehan, M. Bohus, T.R. Lynch, Dialectical Behavior Therapy for Pervasive Emotion Dysregulation: Theoretical and Practical Underpinnings. R.M. Sapolsky, Stress, Stress-Related Disease, and Emotional Regulation.
An Update on PENG Light

This paper presents an update on PENG Light, a lightweight and portable controlled natural language processor that can be used to translate a well-defined subset of English unambiguously into a formal target language. We illustrate by example of a Firefox extension that provides a simple interface to the controlled natural language processor how web pages can be annotated with textual information written in controlled natural language and how these annotations can be translated incrementally into first-order logic. We focus in particular on technical aspects of the controlled language processor and show in detail how look-ahead information that can be used to guide the writing process of the author is generated during the parsing process. Additionally, we discuss what kind of user interaction is required for processing unknown content words.
Deliquescence, Efflorescence, and Water Activity in Ammonium Nitrate and Mixed Ammonium Nitrate/Succinic Acid Microparticles

We have investigated the thermodynamics and kinetics of ammonium nitrate/water and mixed ammonium nitrate/succinic acid/water microparticles. The water activity of ammonium nitrate microparticles is determined as a function of composition down to 12% relative humidity by accounting for the rapid evaporation of ammonia and nitric acid. Both the observed deliquescence and water activities for ammonium nitrate/water microparticles are found to be in good agreement with predicted values. Supermicron ammonium nitrate particles generated from high-purity methanol are found not to effloresce, but form an anhydrous liquid state observed only in particle form. We also present data on the hydroscopicity and phase transitions of internally mixed ammonium nitrate/succinic acid particles. A pronounced reduction in the particle growth factor at deliquescence is reported, indicating that the succinic acid does not take up a significant amount of water. Additionally, the deliquescence relative humidity is found to decrea.
TAG CLASSIFICATION VIA A BAG OF SYSTEMS REPRESENTATION

This paper describes an auto-tagging system presented to MIREX 2011 that represents a “Bag of Systems” (BoS) representation of music. Similar to the Bag of Words representation for text documents, the BoS representation uses a dictionary of musical codewords, where each codeword is a generative model that captures timbral and temporal characteristics of music. Songs are represented as a BoS histogram over codewords, and our system uses multiclass logistic regression on these histograms to learn associations between tags and histograms. Given a new song, the system computes a BoS histogram and outputs a vector of tag-affinities, called a semantic multinomial. Compared to estimating a single generative model to directly capture the musical characteristics of songs associated with a tag, the BoS approach offers the flexibility to combine different classes of generative models at various time resolutions through the selection of the BoS codewords. 1. THE BAG OF SYSTEMS REPRESENTATION OF MUSIC Analogous to the Bag of Words representation of text documents, the BoS approach represents songs with respect to a codebook, in which generative models are used in lieu of words. These generative models compactly characterize typical audio features, musical dynamics or other acoustic patterns in songs. In our system we use two different classes of generative models as codewords: Gaussians and dynamic textures (DTs).
Software testing sizing in incremental development: A case study

The paper presents a case study on software testing sizing of 20 project releases delivered by a technical team through incremental development. Different sizing metrics including KLOC, development effort, test case number and function sizes are reviewed and evaluated. The results show that KLOC doesn't behave well, development effort surprisingly act as a good measure, test case number is an excellent testing sizing method, and existing function size ways are not suitable in our case. In the meanwhile, several sizing evaluation models are proposed during the discussion.
Search Computing Meets Data Extraction

Thanks to the Web, access to an increasing wealth and variety of information has become near instantaneous. To make informed decisions, however, we often need to access data from many different sources and integrate different types of information. Manually collecting data from scores of web sites and combining that data remains a daunting task. The ERC projects SeCo (Search Computing) and DIADEM (Domain-centric Intelligent Automated Data Extraction Methodology) address two aspects of this problem: SeCo supports complex search processes drawing on data from multiple domains with a user interface capable of refining and exploring the search results. DIADEM aims to automatically extract structured data from any website of a given domain. In this paper, we outline a first approach for integrating SeCo and DIADEM. In particular, we discuss how to use the DIADEM methodology to turn nearly any website from a given domain into a SeCo search service. We describe how such services can be registered and exploited by the SeCo framework in combination with services from other domains (and possibly developed with other methodologies).
Actigraph-derived variables as predictors of bipolar disorder traits and states: theoretical and empirical considerations

Bipolar disorder (BD) is a chronic and potentially disabling mood disorder that is characterised by recurrent episodes of mania and depression. Signature features of episodes include changes in sleep and psychomotor activity patterns. Research has also proposed that instability of the circadian system may be part of the neurobiological diathesis to the disorder. The aim of the current project was to investigate all of these features for associations with vulnerability to BD at both the trait and state level using actigraphy, a non-invasive measure of activity rhythms and sleep. The outcomes of the project were also expected to inform clinical practice on the usefulness of actigraphic monitoring for the purposes of episode prodrome identification. Three studies were conducted in pursuit of these aims. Study 1 investigated the trait vulnerability concept by conducting factor analysis of two prominent measures of vulnerability to BD - the 2-dimension GBI and the 5-dimension TEMPS-A - using a mixed sample of well participants and those with a self-reported history of depression and/or mania (N = 484). The results showed that two dimensions, characterized by vulnerability to depression and vulnerability to mania, provided the most parsimonious solution in this sample. Items from the GBI measure dominated the explained variance in the solution. In Study 2, the GBI measure was used to separate a sample of well participants into groups of higher and lower levels of trait vulnerability to BD (n = 35 for both groups). The groups were then compared across 7 days on a series of sleep and circadian activity variables derived from actigraphy. The higher vulnerability group had a significantly lower mean amplitude in the circadian activity rhythm compared to the lower vulnerability group, an indication of reduced circadian stability. There were no differences however, on other features of activity or sleep. Study 3 investigated the prospective association between sleep, activity, and mood deterioration on a daily basis (state vulnerability to BD) in a sample of outpatients with BD (N = 11). Actigraphy was again used to measure the sleep and circadian activity variables. Mood and additional sleep variables were measured using self-report. Multilevel regression analyses showed that self-reported sleep, but not actigraph-derived sleep, was a significant predictor of mood deterioration the following day. The results also showed that daytime activity was a significant predictor of mood on the same day. There were no significant associations between instability of the circadian activity rhythm and mood deterioration. The following conclusions were made based on the findings of the three-study design of the current project; (i) a 2-dimension structure appears to provide the most theoretically consistent and parsimonious model of trait vulnerability to BD, (ii) the circadian instability hypothesis of trait vulnerability to BD is tentatively supported, (iii) daytime activity is the only measure derived from actigraphy to be prospectively…
A Lightweight Timing Channel Protection for Shared Memory Controllers

With the growth of cloud computing, security and privacy is becoming more and more important. Timing channel attack is one of the most remarkable security threads for memory controllers due to competition for shared resources. However, the existing protection strategies that ensure the deterministic of memory accesses by dividing bandwidth introduce great latency and performance degradation. This paper proposes a refresh hiding approach that adjusts the refresh operations to multiplex refresh time with additional latency introduced by those bandwidth division strategies. The experiment results show refresh hiding can reduce more than 20% of program runtime, and it will be more efficient as DRAM density increases.
Development of a Neutralization Assay for Influenza Virus Using an Endpoint Assessment Based on Quantitative Reverse-Transcription PCR

A microneutralization assay using an ELISA-based endpoint assessment (ELISA-MN) is widely used to measure the serological response to influenza virus infection and vaccination. We have developed an alternative microneutralization assay for influenza virus using a quantitative reverse transcription PCR-based endpoint assessment (qPCR-MN) in order to improve upon technical limitations associated with ELISA-MN. For qPCR-MN, infected MDCK-London cells in 96-well cell-culture plates are processed with minimal steps such that resulting samples are amenable to high-throughput analysis by downstream one-step quantitative reverse transcription PCR (qRT-PCR; SYBR Green chemistry with primers targeting a conserved region of the M1 gene of influenza A viruses). The growth curves of three recent vaccine strains demonstrated that the qRT-PCR signal detected at 6 hours post-infection reflected an amplification of at least 100-fold over input. Using ferret antisera, we have established the feasibility of measuring virus neutralization at 6 hours post-infection, a duration likely confined to a single virus-replication cycle. The neutralization titer for qPCR-MN was defined as the highest reciprocal serum dilution necessary to achieve a 90% inhibition of the qRT-PCR signal; this endpoint was found to be in agreement with ELISA-MN using the same critical reagents in each assay. qPCR-MN was robust with respect to assay duration (6 hours vs. 12 hours). In addition, qPCR-MN appeared to be compliant with the Percentage Law (i.e., virus neutralization results appear to be consistent over an input virus dose ranging from 500 to 12,000 TCID50). Compared with ELISA-MN, qPCR-MN might have inherent properties conducive to reducing intra- and inter-laboratory variability while affording suitability for automation and high-throughput uses. Finally, our qRT-PCR-based approach may be broadly applicable to the development of neutralization assays for a wide variety of viruses.
Not all stressors are equal: behavioral and endocrine evidence for development of contextual fear conditioning after a single session of footshocks but not of immobilization

Exposure of animals to footshocks (FS) in absence of any specific cue results in the development of fear to the compartment where shocks were given (contextual fear conditioning), and this is usually evaluated by time spent freezing. However, the extent to which contextual fear conditioning always develops when animals are exposed to other stressors is not known. In the present work we firstly demonstrated, using freezing, that exposure of adult rats to a single session of FS resulted in short-term and long-term contextual fear conditioning (freezing) that was paralleled by increased hypothalamic-pituitary-adrenal (HPA) activation. In contrast, using a similar design, no HPA or behavioral evidence for such conditioning was found after exposure to immobilization on boards (IMO), despite this stressor being of similar severity as FS on the basis of standard physiological measures of stress, including HPA activation. In a final experiment we directly compared the exposure to the two stressors in the same type of context and tested for the development of conditioning to the context and to a specific cue for IMO (the board). We observed the expected high levels of freezing and the conditioned HPA activation after FS, but not after IMO, regardless of the presence of the board during testing. Therefore, it can be concluded that development of fear conditioning to context or particular cues, as evaluated by either behavioral or endocrine measures, appears to be dependent on the nature of the aversive stimuli, likely to be related to biologically preparedness to establish specific associations.
The Corporate Culture Survival Guide

Preface. The Author. PART ONE: THE STRUCTURE AND CONTENT OF CULTURE. Chapter One: Why Bother? Chapter Two: What Is Culture Anyway? Chapter Three: What Are the Elements and Dimensions of Organizational Culture? Chapter Four: Deeper Assumptions. Chapter Five: When and How to Assess Your Culture. PART TWO: THE DYNAMICS OF CULTURE FORMATION, EVOLUTION, AND CHANGE. Chapter Six: Cultural Learning, Unlearning, and Transformative Change. Chapter Seven: Culture Creation, Evolution, and Change in Start-Up Companies. Chapter Eight: Culture Dynamics in the Mature Company. Chapter Nine: Mid-Life Crisis and Potential Decline. Chapter Ten: When Cultures Meet: Acquisitions, Mergers, Joint Ventures, and Other Multicultural Collaborations. Chapter Eleven: Cultural Realities for the Serious Culture Leader Space. Notes. References.
Selective Inhibition of Phosphoinositide 3-Kinase p110α Preserves Lymphocyte Function*

Background: The class IA PI3K isoform p110α is a promising drug target in cancer therapy yet its role in lymphocytes is not known. Results: Lymphocyte function was minimally affected by p110α inhibition both in vitro and in vivo. Conclusion: Selective inhibition of p110α preserves lymphocyte function. Significance: The study raises confidence that selective p110α inhibitors in cancer therapy will not be immunosuppressive. Class IA phosphoinositide 3-kinase (PI3K) is essential for clonal expansion, differentiation, and effector function of B and T lymphocytes. The p110δ catalytic isoform of PI3K is highly expressed in lymphocytes and plays a prominent role in B and T cell responses. Another class IA PI3K catalytic isoform, p110α, is a promising drug target in cancer but little is known about its function in lymphocytes. Here we used highly selective inhibitors to probe the function of p110α in lymphocyte responses in vitro and in vivo. p110α inhibition partially reduced B cell receptor (BCR)-dependent AKT activation and proliferation, and diminished survival supported by the cytokines BAFF and IL-4. Selective p110δ inhibition suppressed B cell responses much more strongly, yet maximal suppression was achieved by targeting multiple PI3K isoforms. In mouse and human T cells, inhibition of single class IA isoforms had little effect on proliferation, whereas pan-class I inhibition did suppress T cell expansion. In mice, selective p110α inhibition using the investigational agent MLN1117 (previously known as INK1117) did not disrupt the marginal zone B cell compartment and did not block T cell-dependent germinal center formation. In contrast, the selective p110δ inhibitor IC87114 strongly suppressed germinal center formation and reduced marginal zone B cell numbers, similar to a pan-class I inhibitor. These findings show that although acute p110α inhibition partially diminishes AKT activation, selective p110α inhibitors are likely to be less immunosuppressive in vivo compared with p110δ or pan-class I inhibitors.
Orthogonal Frequency Division Multiple Access : Is it the Multiple Access System of the Future ?

There is significant interest worldwide in the development of technologies for broadband cellular wireless (BCW) systems. One of the key technologies which is becoming the de-facto technology for use in BCW systems is the orthogonal frequency division multiple access (OFDMA) scheme. In this tutorial article, we discuss the reasons for the popularity of OFDMA and outline some of the important concepts which are used in OFDMA as applied to BCW systems. We shall use the IEEE 802.16 based WiMAX standards for highlighting some of the significant ideas in the practical use of OFDMA systems.
Periods, Capitalized Words, etc.

In this article we present an approach for tackling three important aspects of text normalization: sentence boundary disambiguation, disambiguation of capitalized words in positions where capitalization is expected, and identification of abbreviations. As opposed to the two dominant techniques of computing statistics or writing specialized grammars, our document-centered approach works by considering suggestive local contexts and repetitions of individual words within a document. This approach proved to be robust to domain shifts and new lexica and produced performance on the level with the highest reported results. When incorporated into a part-of-speech tagger, it helped reduce the error rate significantly on capitalized words and sentence boundaries. We also investigated the portability to other languages and obtained encouraging results.
Evaluation of challenges in human subject studies "in-the-wild" using subjects' personal smartphones

The experimental setting of Human Mobile Computer Interaction (HCI) studies is moving from the controlled laboratory to the user's daily-life environments, while employing the users' own smartphones. These studies are challenging for both new and expert researchers in human subject studies in the HCI field. Within the last three years, we conducted three different smartphone-based user studies. From these studies, we have derived key challenges that we successfully overcame during their execution. In this paper, we present the outcomes and explain the adopted solutions for the challenges identified in the design, development and execution, and data analysis phases during the user studies. Our goal is to give newcomers and junior researchers a practical view on our conducted studies, and help practitioners to reflect on their own studies and possibly apply the proposed solutions.
Detection of MPSK signal over fast fading channels in SIMO cognitive radio applications

In this paper we propose a computationally efficient detector for an M-aray Phase Shift Keying (MPSK) signal over fast fading channel with unknown parameters in a Single-Input-Multiple-Output (SIMO) scenario for cognitive radio applications. Employing Basis Expansion Model (BEM) as a usual approach for modeling such environments, we derive the Generalized Likelihood Ratio (GLR) Detector. However, this detector is computationally complex for implementation due to an exhaustive search over symbol sequence values. To remedy this problem, we approximate the statistic, and by utilizing an optimum algorithm for PSK sequence estimation with low computational complexity (CC), we reach a detector which is much simpler from CC point of view. Monte Carlo simulations show the close performance of the proposed and the exact GLR detectors.
Evolutionary diffusion: internal and external methods used to acquire encompassing, complementary, and incremental technological changes in the lithotripsy industry

This study links theories concerning methods that firms use to acquire technology with theories concerning types of technological change. We place particular emphasis on interorganizational relationships. We predict that firms will often acquire know-how needed for encompassing technological change through equity-based arrangements with other organizations, complementary technological changes through nonequity interorganizational arrangements, and incremental changes through internal R&D. Our theory draws on perspectives that emphasize the need to develop new competencies within a business organization and to protect the value of existing competencies. Our empirical analysis examines methods of technology acquisition that firms have used in the commercialization of medical lithotripters, which are devices that fragment stones in the kidney and gall bladder. The analysis contributes to a better understanding of how technology acquisition methods vary with the manner in which technological change relates to a firm’s existing capabilities. The study also helps develop our understanding of the evolutionary processes by which capabilities diffuse through an industry. © 1998 John Wiley & Sons, Ltd.
Thrift: Local 3D Structure Recognition

This paper presents a method for describing and recognising local structure in 3D images. The method extends proven techniques for 2D object recognition in images. In particular, we propose a 3D interest point detector that is based on SURF, and a 3D descriptor that extends SIFT. The method is applied to the problem of detecting repeated structure in range images, and promising results are reported.