Miracle-dz/UniFAR-FTUs huggingface dataset:
Doctoral Students' Relational Communication with their Advisors: A Dyadic Examination using Chickering's Theory of Psychosocial Development

Doctoral Students’ Relational Communication with their Advisors: A Dyadic Examination using Chickering’s Theory of Psychosocial Development Zachary W. Goldman The purpose of this dissertation was to explore how psychosocial development affects doctoral students’ relationships with their advisor and their success in graduate school. Toward this goal, three objectives were identified. The first objective was to integrate Chickering and Reisser’s (1993) vectors of psychosocial development into the doctoral education context to understand how mature students maintain their relationships and address conflict with their advisor. The second objective was to investigate the extent to which doctoral students’ psychosocial development and communication behaviors affected satisfaction in the student-advisor relationship. The third objective was to examine the effect of psychosocial development on doctoral students’ attrition and indicators of academic success. Self-report surveys were completed by both doctoral students and graduate faculty advisors. The results revealed that students who were further progressed along the vectors of psychosocial development were more likely to use relational maintenance behaviors and handle their conflict with integrative strategies, whereas students who were not as psychosocially developed were more inclined to use distributive and avoidance strategies to handle conflict in the student-advisor relationship. Psychosocial development also positively affected doctoral students’ persistence, perceived time to degree, and their general success in graduate school (i.e., academic preparedness, quality of work, research self-efficacy, research productivity). The results also indicated that students’ relational maintenance behaviors and conflict strategies played an essential role in explaining the positive effects of psychosocial development on student-advisor relational and communication satisfaction. Taken together, the findings support the importance of psychosocial development in graduate school and provide valuable information that may be used to improve the quality of doctoral programs.
OFDM for High Data Rate , High-Mobility , Wide-Area Wireless Communications

In recent years, there has been considerable growth in interest in wireless access to wide area data networks at high data rates. This growth has been fuelled by the simultaneous development of the high-speed wired data networks (e.g., the Internet), wide-spread availability of powerful mobile computing devices, rapidly dropping prices for increasingly sophisticated electronic devices, plus the global deployment of wireless voice systems. High-mobility wireless data access at near-LAN rates is likely to be an attractive option. The harsh cellular radio environment creates significant challenges when trying to provide access at high data rates, especially if high-mobility and wide-area availability are expected even more so when considering the constraints placed on the system design by terminal size and power constraints. This paper describes research into Orthogonal Frequency Division Multiplexing (OFDM) techniques addressing high data rate access in representative mobile cellular-like environments.
Macroeconomic Policy in a Two-Party System as a Repeated Game

This paper considers the interaction of two parties with different objectives concerning inflation and unemployment and rational and forward-looking wage-setters. If discretionary policies are followed, an economic cycle related to the political cycle results in equilibrium. This cycle is significantly different from the traditional "political business cycle. " Reputational mechanisms due to the repeated interaction of the two parties and the public or commitments to a common policy rule can improve upon the discretionary outcome by reducing or eliminating the magnitude of the economic fluctuations.
Youth Emotion Regulation and Processing: Risk and Resilience Factors in the Context of Maternal Depression

ix INTRODUCTION . 1 Emotion Regulation . 4 Vagal tone. 6 Maternal depression & youth emotion regulation. 7 Emotion Processing . 10 Central physiology. 11 The late positve potential (LPP) . 11 The LPP and cognitive emotion regulation . 11 The LPP and depression . 11 Maternal factors and daughters’ LPP . 22 The Present Investigation . 24 METHOD . 27 Sample. 27 Participants . 27
Enhancing Emotional, Social, and Academic Learning With Heart Rhythm Coherence Feedback

Heart rhythm coherence biofeedback is an exciting new technology that has broad-based applications in educational contexts for improving emotional, social, and academic competencies. Using this technology to facilitate the learning and practice of positive emotion-focused techniques, students learn to enter a state of psychophysiological coherence—a highly efficient functional mode associated with increased nervous system harmony, enhanced emotional stability, and improved cognitive performance. Classroom-based programs incorporating this intervention have facilitated improvements in emotional health, social behaviors, and academic performance in diverse student populations. With the passage of the federal No Child Left Behind legislation, increasing student academic performance has risen to the top of both local and national education agendas. However, even as pressures to improve academic performance continue to increase, children are increasingly coming to school emotionally unprepared to learn. This is frequently compounded by the lack of a healthy social and emotional environment within the school to support, motivate, and emotionally engage students. As research has begun to illuminate the important connections between emotions, learning, and performance, it has become apparent that effective classroom-based interventions are needed to foster and integrate children’s emotional, social, and academic development in order to provide them with tools and skills needed to increase selfawareness and emotional self-management; promote effective communication; practice healthy, responsible behaviors; and build functional, collaborative relationships. Heart rhythm coherence biofeedback is increasingly being used in school settings as an engaging and effective tool to help achieve these ends.
Using Construal Level Theory to Promote HPV Vaccine Uptake Among College Males

Cannon, Julie S. M.A., Purdue University, August 2016. Using Construal Level Theory to Promote HPV Vaccine Uptake Among College Males. Major Professor: Hyunyi Cho. human papilloma virus (HPV) vaccination is low. Prior research indicates perceived susceptibility to HPV among college males is also low. Construal level theory may offer a framework to alter perceived susceptibility and intention to vaccinate, but little research has examined this potential. Construal level theory provides foundational elements including that low construal level of perceptions is associated with more proximal psychological distance (hypothetical, social, temporal and spatial). suggests high hypothetical distance. A reduction in hypothetical distance should be indicated by a measured increase in perceived susceptibility. Additionally, if construal level primed by messages is consistently associated with stage of change, then movement through stages of change might be promoted by influencing construal level such that perceived hypothetical distance is reduced. Additionally, the impact of interactivity on construal level and associated outcomes was explored. This study included two online experiments. In the first, a message was presented in components based on construal level dimensions. The second experiment was a 2x2, including high construal interactive message low construal interactive message, high construal non-interactive message,
The impact of law enforcement officer perceptions of organizational justice on their attitudes regarding body-worn cameras

Abstract Civil unrest following recent questionable officer involved shootings and other use of force incidents has prompted public demands for police officers to be equipped with body-worn video cameras (BWCs). As a result of these demands, agencies across the US are rapidly acquiring the devices. While BWCs are widely assumed to be effective tools to document police/citizen encounters, increase law enforcement transparency, and improve both officer and citizen behavior, relatively little research has been conducted in regard to their actual impact. While some preliminary studies have examined officer attitudes concerning the devices, specific factors that potentially affect officer attitudes concerning BWCs and ultimately their level of ‘buy-in’ have not been examined. The concept of organizational justice is likely one such factor. Through the administration of a survey to a sample of 201 law enforcement officers from four Midwestern and Southern region agencies and those in attendance at regional continuing education venues, the relationship between organizational justice and officer attitudes regarding BWCs is examined. Analysis with structural equation modeling indicates that officer perceptions of organizational justice are a significant factor in terms of their attitudes regarding BWCs.
Regulation of positive emotions: measurement and individual differences

Regulation of positive emotions is under-researched, despite evidence linking dysregulation to mental health problems. Furthermore, studies often use clinical populations, with limited data from healthy volunteers. The current thesis investigated individual differences in the regulation of positive emotions, and developed and validated tools for the study of emotion regulation. The State/Trait Emotion Regulation Questionnaires (STERQ) were created and validated, showing good reliability, model fit and convergent validity. The project also examined the feasibility of online emotion regulation experiments, showing these can be conducted via the internet, with comparable results to those obtained within the laboratory, albeit eliciting smaller effect sizes. Two studies investigated spontaneous and instructed regulation of positive emotions in healthy participants, focusing on associations between emotion regulation and risk for hypomania and depression. Emotional intrusion was positively associated with both increased hypomania and depression traits. Additionally, hypomanic personality traits were associated with use of more strategies to regulate positive emotions. Individuals with higher depression scores showed some lowering of baseline positive emotions and increased dampening in response to positive emotions. Finally, the thesis assessed the impact of positive emotions on subsequent emotion regulation responses to negative stimuli, testing the hypothesis that positive emotions may have a protective impact on the experience of negative emotion. Elicitation of positive emotions did not affect the regulation strategies, emotional or physiological response to subsequent negative stimuli. Various future directions arise from the current work. The creation of the STERQ provides additional measures for investigating the temporal and contextual dynamics of emotion regulation. Research into regulating positive emotions could be extended through the manipulation of emotional intensity and types of emotion examined. Finally, studying how emotion regulation changes in response to mixed valence states may better reflect real life, leading to a more nuanced understanding of emotion regulation and its relationship with psychopathology.
Promoting college students to seek help for mental health difficulties: a social normative approach

Abstract The aim of this study was to test whether an online social normative intervention would promote college students’ help seeking attitudes and intentions. To investigate this, a between-group, post-test, experimental design consisting of 207 students (69 males, 138 females), aged 18–25 years (M = 20.46, SD = 1.96) was used. Students who received the social normative feedback reported more positive help-seeking attitudes, with students who had mental health problems also reporting more positive help-seeking intentions. The findings of this study are discussed with respect to methodological considerations, and recommendations for practice and future research are provided for student counselling clinics.
DERIVED CATEGORIES AND TILTING

We review the basic definitions of derived categories and derived functors. We illustrate them on simple but non trivial examples. Then we explain Happel's theorem which states that each tilting triple yields an equiv- alence between derived categories. We establish its link with Rickard's theorem which characterizes derived equivalent algebras. We then examine invariants under derived equivalences. Using t-structures we compare two abelian cate- gories having equivalent derived categories. Finally, we briefly sketch a gener- alization of the tilting setup to differential graded algebras.
Large-Scale Learning of Embeddings with Reconstruction Sampling

In this paper, we present a novel method to speed up the learning of embeddings for large-scale learning tasks involving very sparse data, as is typically the case for Natural Language Processing tasks. Our speed-up method has been developed in the context of Denoising Auto-encoders, which are trained in a purely unsupervised way to capture the input distribution, and learn embeddings for words and text similar to earlier neural language models. The main contribution is a new method to approximate reconstruction error by a sampling procedure. We show how this approximation can be made to obtain an unbiased estimator of the training criterion, and we show how it can be leveraged to make learning much more computationally efficient. We demonstrate the effectiveness of this method on the Amazon and RCV1 NLP datasets. Instead of reducing vocabulary size to make learning practical, our method allows us to train using very large vocabularies. In particular, reconstruction sampling requires 22x less training time on the full Amazon dataset.
Brain Injury in Persons With Serious Mental Illness Who Have a History of Chronic Homelessness: Could This Impact How Services Are Delivered?

Clinicians completed interviews using the Ohio State University Traumatic Brain Injury Identification Method (TBI-ID) and sections of the Addiction Severity Index (ASI-Lite) with clients who were homeless and receiving community mental health services. Fifty-six percent of clients screened positive for TBI. Clients with a history of TBI were more likely to be using multiple substances, and were more likely to have, and be bothered by, family and emotional problems than clients without TBI. Homeless clients receiving mental health services may have undiagnosed TBI that could affect their ability to benefit from treatment. Such clients may require services that compensate for their cognitive deficits.
(Fractional) Intersection Numbers, Tadpoles and Anomalies

We use the Witten index in the open string sector to determine tadpole charges of orientifold planes and D-branes. As speciﬁc examples we consider type I compactiﬁcations on Calabi Yau manifolds and noncompact orbifolds. The tadpole constraints suggest that the standard embedding is not a natural choice for the gauge bundle. Rather there should be a close connection of the gauge bundle and the spin bundle. In the case of a four fold, the standard embedding does not in general fulﬁll the tadpole conditions. We show that this agrees with the Green-Schwarz mechanism. In the case of noncompact orbifolds we are able to solve the tadpole constraints with a gauge bundle, which is related to the spin bundle. We compare these results to anomaly cancellation on the ﬁxed plane of the orbifold. In the case of branes wrapping noncompact cycles, there are fractional intersection numbers and anomaly coeﬃcients, which we explain in geometric terms.
A Theory of Destructive Entrepreneurship

Policy interest since the early 1980s has focused in different ways on the creation of a large, productive, taxable economy - in which entrepreneurship plays a role for employment, income growth and innovation. The current understanding of various forms of entrepreneurship remains incomplete, focusing largely on productive and unproductive entrepreneurship. However, destructive entrepreneurship plays an important role in many, if not most, economies. This paper addresses the conceptual gap in the allocation of entrepreneurship by proposing a theory of destructive entrepreneurship.
Sociomateriality as a Lens for Design: Imbrication and the constitution of technology and organization

The notion of 'entanglement' has been central to the development of the emerg - ing perspective on sociomateriality in organizations. But employing a metaphor of entan - glement implies an ontological commitment to treat social and material agencies as empiri- cally inseparable. This commitment to inseparability makes it very difficult to think about redesigning systems to work better because they cannot be dismantled into their compo - nent parts and re-arranged. Shifting from a metaphor of 'engagement' to one of 'imbrica - tion' eliminates this problem because social and material agencies are seen to retain their distinctive form despite the fact that they depend on one another for the production and perpetuation of sociomaterial practices. Imbrications can be undone and remade. Thus, a designer can work with an imbricated structure in a way he or she cannot with an entangled web of practice. The result is that the metaphor of imbrication provides more possibilities for imagining design-oriented action and more opportunities for envisioning changes to technologies and organizations than does a metaphor of entanglement without sacrificing the relational ontology that makes the sociomaterial perspective so attractive to scholars.
On the correlations between a combining function and functions of fewer variables

The Hamming distance of a Boolean function to the functions having many linear structures is an important cryptographic parameter. Most notably, the accuracy of the approximation of the combining function by a function of fewer variables is a major issue in most attacks against combination generators. Here, we show that the distance of a function to the functions having a k-dimensional linear space is highly related to its nonlinearity. In particular, we prove that there is no accurate approximation of any highly nonlinear function by a function depending on a small subset of its input variables.
The Impact of Parent-Child Factors on the Play Abilities of Children Diagnosed with Attention-Deficit/Hyperactivity Disorder, Autism Spectrum Disorder and Speech Language Impairment

6 Introduction.7 Methods.26 Results.33 Discussion.43 Tables. 54 Figures.62 Appendices.64 Appendix 1: Affect in Play Scale-Preschool Version.64 Appendix 2: Parent-Child Play Scale.65 References.79
Dim galaxies and outer halos of galaxies missed by 2MASS? The near–infrared luminosity function and density

By using high–resolution and deep K s band observations of early–type galaxies of the nearby Universe and of a cluster at $z=0.3$ we show that the two luminosity functions (LFs) of the local universe derived from 2MASS data miss a fair fraction of the flux of the galaxies (more than 20 to 30%) and a whole population of galaxies of central brightness fainter than the isophote used for detection, but bright enough to be included in the published LFs. In particular, the fraction of lost flux increases as the galaxy surface brightness become fainter. Therefore, the so far derived LF slopes and characteristic luminosity as well as luminosity density are underestimated. Other published near–infrared LFs miss flux in general, including the LF of the distant field computed in a 3 arcsec aperture.
Type Ia Supernovae: An Examination of Potential Progenitors and the Redshift Distribution

We examine the possibility that Type Ia supernovae (SNe Ia) are produced by white dwarfs accreting from Roche lobe filling evolved companions, under the assumption that a strong optically thick stellar wind from the accretor is able to stabilize the mass transfer. We show that if a mass-transfer phase on a thermal timescale precedes a nuclear-burning driven phase, then such systems (of which the supersoft X-ray sources are a subgroup) can account for about 10% of the inferred SNe Ia rate. In addition, we examine the cosmic history of the supernova rate and show that the ratio of the rate of SNe Ia to the rate of supernovae produced by massive stars (supernovae of Types II, Ib, Ic) should increase from about z = 1 toward lower redshifts.
Tksh: A Tcl Library for KornShell

This paper describes Tksh, an implementation of the Tcl C library written on top of the library for the new KornShell (ksh93). Tksh emulates the behavior of Tcl by using the API that is provided for extending ksh93, which is similar to the Tcl library in that it allows access to variables, functions and other state of the interpreter. This implementation requires no modification to ksh93, and allows Tcl libraries such as Tk to run on top of ksh93 unchanged, making it possible to use shell scripts in place of Tcl scripts. ksh93 is well suited for use with Tk because it is backward compatible with sh, making it both easy to learn and easy to extend existing scripts to provide a graphical user interface. Tksh is not yet another port of Tk to another language - it allows Tcl scripts to run without modification using the ksh93 internals. This makes it possible to combine Tcl and ksh93, which is useful for writing ksh93 scripts that use components that have been implemented in Tcl (such as Tk widgets).
Qualitative simulation of models of software evolution

Lehman's laws and the quantitative models based on them seek to encapsulate empirical generalizations about E-type program evolution. Such modelling is hampered by insufficient knowledge about the mechanisms at work and their parameters. Qualitative reasoning is a body of work that handles a lack of precise knowledge by reasoning at a more abstract level than with quantitative models. This paper describes the introduction of qualitative reasoning to the study of software evolution. It reports on the derivation of qualitative versions of two existing quantitative models of the software evolution process, leading to identification of previously unrecognized behaviours. A third qualitative model is also discussed. The paper also shows how qualitative trend abstraction enables a high level of abstraction analysis of empirical data and that, at this level, the empirical patterns observed in several different software systems display similarities. Finally, we compare the qualitative simulation outputs of the three systems to the abstracted empirical trends.
Face expression recognition: A brief overview of the last decade

The huge research effort in the field of face expression recognition (FER) technology is justified by the potential applications in multiple domains: computer science, engineering, psychology, neuroscience, to name just a few. Obviously, this generates an impressive number of scientific publications. The aim of this paper is to identify key representative approaches for facial expression recognition research in the past ten years (2003-2012).
Introduction: Aspects of Artificial General Intelligence

This introductory chapter sets the stage for the book as a whole. First, the purpose of the conference that led to the book is reviewed. Then, the notion of “Artificial General Intelligence” (AGI) is clarified, including a brief survey of the past and present situation of the field, an analysis and refutation of some common objections and doubts regarding the AGI area of research, and a discussion of what needs to be addressed by the field as a whole in the near future. Finally, there is a summary of the contents of the other chapters in the book.