Miracle-dz/UniFAR-FTUs huggingface dataset:
The effect of therapist White privilege attitudes on client outcomes and the therapist-client relationship

OF DISSERTATION THE EFFECT OF THERAPIST WHITE PRIVILEGE ATTITUDES ON CLIENT OUTCOMES AND THE THERAPIST-CLIENT RELATIONSHIP Counseling Psychology has emphasized the importance of using multicultural and social justice frameworks in psychotherapy to avoid reenacting in session the privilege and oppression dynamics that exist in larger society. People of Color have historically underutilized psychotherapy services and have higher attrition rates when they do attend therapy, even though they have been more likely to face more sources of psychological distress (Kearney, Draper, & Baron, 2005; Sue & Sue, 2008). Additionally, White therapists have been over-represented in professional and training settings (Fouad & Arredondo, 2007; Hays & Chang, 2003). Add to that the fact that therapists have been trained in and practice psychotherapy theories developed primarily by White men and you have a system of counseling that works for some and not all. Thus, White therapists could be at risk for harming their clients of Color, and possibly their White clients as well, because of the utilization of these Euro-centrically biased ways of conceptualizing and treating clients (Mindrup, Spray, & Lamberghini-West, 2011). In this study, I examined the impact of therapist-reported White privilege attitudes on client-reported counseling outcomes and the therapeutic relationship. Participating therapists (N = 36) were recruited from a community mental health agency in the southeast and administered measures of White privilege attitudes, multicultural knowledge and awareness, and motivation to control prejudiced reactions. Outcome and therapeutic relationship data from clients of participating therapists, seen between fall 2012 and fall 2013 semesters, were provided by the agency. Therapist self-reported White privilege attitudes were not directly predictive of therapy outcomes and the therapeutic alliance. Therapists’ willingness to confront White privilege, White privilege remorse, and apprehension about addressing White privilege moderated the effects first session outcome scores and client gender had on number of sessions attended by clients. Client race/ethnicity was not directly predictive of therapy outcome scores or therapeutic alliance scores. However, client race/ethnicity varied significantly across therapists, suggesting that therapists were differentially effective. Results of this study indicate that therapist White privilege awareness has an effect on outcomes and the therapeutic alliance, although the relationship is complicated. Study limitations, strengths, and implication for future research are discussed.
Software trace cache

This paper explores the use of compiler optimizations which optimize the layout of instructions in memory. The target is to enable the code to make better use of the underlying hardware resources regardless of the specific details of the processor/ architecture in order to increase fetch performance. The Software Trace Cache (STC) is a code layout algorithm with a broader target than previous layout optimizations. We target not only an improvement in the instruction cache hit rate, but also an increase in the effective fetch width of the fetch engine. The STC algorithm organizes basic blocks into chains trying to make sequentially executed basic blocks reside in consecutive memory positions, then maps the basic block chains in memory to minimize conflict misses in the important sections of the program. We evaluate and analyze in detail the impact of the STC, and code layout optimizations in general, on the three main aspects of fetch performance: the instruction cache hit rate, the effective fetch width, and the branch prediction accuracy. Our results show that layout optimized codes have some special characteristics that make them more amenable for highperformance instruction fetch: They have a very high rate of not-taken branches and execute long chains of sequential instructions; also, they make very effective use of instruction cache lines, mapping only useful instructions which will execute close in time, increasing both spatial and temporal locality.
Identification and Characterization of microRNAs Associated With Human β‐Cell Loss in a Mouse Model

Currently there is no effective approach for monitoring early β‐cell loss during islet graft rejection following human islet transplantation (HIT). Due to ethical and technical constraints, it is difficult to directly study biomarkers of islet destruction in humans. Here, we established a humanized mouse model with induced human β‐cell death using adoptive lymphocyte transfer (ALT). Human islet grafts of ALT‐treated mice had perigraft lymphocyte infiltration, fewer insulin+ β cells, and increased β‐cell apoptosis. Islet‐specific miR‐375 was used to validate our model, and expression of miR‐375 was significantly decreased in the grafts and increased in the circulation of ALT‐treated mice before hyperglycemia. A NanoString expression assay was further used to profile 800 human miRNAs in the human islet grafts, and the results were validated using quantitative real‐time polymerase chain reaction. We found that miR‐4454 and miR‐199a‐5p were decreased in the human islet grafts following ALT and increased in the circulation prior to hyperglycemia. These data demonstrate that our in vivo model of induced human β‐cell destruction is a robust method for identifying and characterizing circulating biomarkers, and suggest that miR‐4454 and miR‐199a‐5p can serve as novel biomarkers associated with early human β‐cell loss following HIT.
Exploring the Experiences of Fathers Raising Sons with Asperger Syndrome: An Interpretative Phenomenological Analysis.

My study explores the life-worlds of fathers who are raising a son diagnosed with Asperger Syndrome. It was inspired by previous research where I considered the emotional journeys of parents and the support offered for parenting this group of children (Axup, 2003). Mothers were more accessible and willing to take part than fathers. Findings suggested that fathers had a very different experience from mothers and were rarely heard. This study seeks to uncover this group of fathers‟ specific needs and recognises they have an important story to tell. Exploring fathers‟ stories could aid both understanding and support offered, whilst giving them a voice. Fathers‟ journeys suggested cyclical patterns, where events and transitions surrounding their sons triggered feelings of denial, guilt, worry, frustration, hope and fear (Roll-Pettersson, 2001). I took a relativist epistemological stance, whereby multiple realities are assumed and social construct, interpretivism and the concept of phenomena are important in uncovering how participants make sense of their experience (Smith, Flowers and Larkin, 2009). The methodology I selected was Interpretative Phenomenological Analysis (IPA). Nine fathers took part in individual semi-structured interviews where I explored their experiences of raising a son with Asperger Syndrome. I analysed my data case by case and identified six main themes. These revolved around different aspects of selfhood which featured within the fathers‟ stories: Self through time, the importance of identity, relating to the syndrome, position within the family dynamic, their place in the world, and the practice of parenting. I also explored core values and beliefs in relation to fatherhood and their sons‟ difficulties. My findings revealed the significance of the phenomena of being a father raising a son with Asperger Syndrome pervading all aspects of their lives. All had a great deal to say, yet some had never been heard by family, friends or professionals. Although a small-scale study, the narratives are supported by literature which suggested that fathers are frequently isolated by their families and professionals (Page, Whitting and Mclean, 2008). Research implications for iii Educational Psychologists and wider children‟s service professionals suggested pro-active work is needed to help fathers engage with their sons and services. Fathers felt a caseworker whom they could trust would help them make sense of bureaucratic systems and provide support from the early years, during diagnosis and transition periods into adolescence and adulthood.
Object Identification in Dynamic Images Based on the Memory-Prediction Theory of Brain Function

In 2004, Jeff Hawkins presented a memory-prediction theory of brain function, and later used it to create the Hierar-chical Temporal Memory model. Several of the concepts described in the theory are applied here in a computer vision system for a mobile robot application. The aim was to produce a system enabling a mobile robot to explore its envi-ronment and recognize different types of objects without human supervision. The operator has means to assign names to the identified objects of interest. The system presented here works with time ordered sequences of images. It utilizes a tree structure of connected computational nodes similar to Hierarchical Temporal Memory and memorizes frequent sequences of events. The structure of the proposed system and the algorithms involved are explained. A brief survey of the existing algorithms applicable in the system is provided and future applications are outlined. Problems that can arise when the robot’s velocity changes are listed, and a solution is proposed. The proposed system was tested on a sequence of images recorded by two parallel cameras moving in a real world environment. Results for mono- and ste-reo vision experiments are presented.
Small Office PBX Using Voice Over Internet Protocol (VOIP)

This paper is intended to present some important theoretical and experimental result that we have faced during setting up a VoIP (voice over Internet protocol) server with the well known open source VoIP server Asterisk@Home. The first part of the paper presents the project objective with some introductory theory about VoIP. The second part contains the implementation of GnuGk PBX and at the end of the paper the Asterisk server setup configuration is added. We used GNUGK for testing H.323 PBX performance and Asterisk@Home for SIP performance testing and found much more stability and accuracy using Asterisk@Home.
You Shall Know People by the Company They Keep: Person Name Disambiguation for Social Network Construction

The growth of digitization in the cultural heritage domain offers great possibilities to broaden the boundaries of historical research. With the ultimate aim of creating social networks of person names from news articles, we introduce a person name disambiguation method that exploits the relation between the ambiguity of a person name and the number of entities referred to by it. Modeled as a clustering problem with a strong focus on social relations, our system dynamically adapts its clustering strategy to the most suitable conﬁguration for each name depending on how common this name is. Our method’s performance is on par with the state-of-the-art reported for the CRIPCO dataset, while using less speciﬁc resources.
Predicting Positive and Negative Relationships in Large Social Networks

In a social network, users hold and express positive and negative attitudes (e.g. support/opposition) towards other users. Those attitudes exhibit some kind of binary relationships among the users, which play an important role in social network analysis. However, some of those binary relationships are likely to be latent as the scale of social network increases. The essence of predicting latent binary relationships have recently began to draw researchers' attention. In this paper, we propose a machine learning algorithm for predicting positive and negative relationships in social networks inspired by structural balance theory and social status theory. More specifically, we show that when two users in the network have fewer common neighbors, the prediction accuracy of the relationship between them deteriorates. Accordingly, in the training phase, we propose a segment-based training framework to divide the training data into two subsets according to the number of common neighbors between users, and build a prediction model for each subset based on support vector machine (SVM). Moreover, to deal with large-scale social network data, we employ a sampling strategy that selects small amount of training data while maintaining high accuracy of prediction. We compare our algorithm with traditional algorithms and adaptive boosting of them. Experimental results of typical data sets show that our algorithm can deal with large social networks and consistently outperforms other methods.
Six1 controls patterning of the mouse otic vesicle

Six1 is a member of the Six family homeobox genes, which function as components of the Pax-Six-Eya-Dach gene network to control organ development. Six1 is expressed in otic vesicles, nasal epithelia, branchial arches/pouches, nephrogenic cords, somites and a limited set of ganglia. In this study, we established Six1-deficient mice and found that development of the inner ear, nose, thymus, kidney and skeletal muscle was severely affected. Six1-deficient embryos were devoid of inner ear structures, including cochlea and vestibule, while their endolymphatic sac was enlarged. The inner ear anomaly began at around E10.5 and Six1 was expressed in the ventral region of the otic vesicle in the wild-type embryos at this stage. In the otic vesicle of Six1-deficient embryos, expressions of Otx1, Otx2, Lfng and Fgf3, which were expressed ventrally in the wild-type otic vesicles, were abolished, while the expression domains of Dlx5, Hmx3, Dach1 and Dach2, which were expressed dorsally in the wild-type otic vesicles, expanded ventrally. Our results indicate that Six1 functions as a key regulator of otic vesicle patterning at early embryogenesis and controls the expression domains of downstream otic genes responsible for respective inner ear structures. In addition, cell proliferation was reduced and apoptotic cell death was enhanced in the ventral region of the otic vesicle, suggesting the involvement of Six1 in cell proliferation and survival. In spite of the similarity of otic phenotypes of Six1- and Shh-deficient mice, expressions of Six1 and Shh were mutually independent.
Open-set speaker identification in broadcast news

In this paper, we examine the problem of text-independent open-set speaker identification (OS-SI) in broadcast news. Particularly, the impact of the population of registered speakers to OS-SI performance is investigated, which is the central issue for designing practical OS-SI system. We amend the maximum mutual information (MMI)-based discriminative training scheme to facilitate its incorporation in OS-SI systems. We also improve the implementation to allow the application of MMI-based approach with 2048-component Gaussian mixture models. All systems are evaluated using NIST RT-03, RT-04 and FBIS corpora, with a maximum of 82 registered speakers. Our study shows that notable performance improvement can be obtained with MMI-based discriminative training, which reduces the equal error rate (EER) by 15.9% relatively, in comparison to the GMM-MAP scheme.
Curriculum-Based Measurement Procedures to Develop Multiple-Skill Mathematics Computation Probes: Evaluation of Random and Stratified Stimulus-Set Arrangements

Curriculum-based measurement (CBM) procedures have been developed to assess mathematics computation (M-CBM). Recent research has demonstrated that the psychometric characteristics of measurement outcomes vary as a function of administration procedures. This study examined the effect of an alternate set of procedures to construct more consistent multiple-skill M-CBM computation probes. Researchers compared two probe construction techniques: randomized stimulus-set arrangement and stratified stimulus-set arrangement. The results of repeated multiple-skill M-CBMs that were administered to students within five primary grades (N = 219) suggest that stratified construction of multiple-skill M-CBM computation probes is likely to yield more generalizable and dependable measurement outcomes. This result was especially robust within the upper primary grades. The convergence of these findings with previous research is discussed along with implications for practice and future research.
Active markers for outdoor and indoor robot localization

Localization is one of the fundamental problems in mobile robot navigation. In this paper a study is presented on a new methodology aimed at localizing a mobile robot in indoor and outdoor environments using active markers and commercial off-the-shelf webcams. The marker detection system is based on the difference of working frequencies of the shutter of a webcam and of a signal from the marker. This study is part of a more complex project for a patrolling robot and will eventually become a part of a message-oriented middleware called DCDT (Device Communities Development Toolkit) developed in the past few years at the University of Brescia.
A Methodology for Forensic Analysis of Embedded Systems

An embedded system is a special-purpose computer system designed to perform one or a few dedicated functions, for example, just portable devices such as MP3 players, cell phone, PDA, to telemetric system like car navigation system etc. The more embedded systems are diversifying various types, the more forensic community is concentrating on efforts of research correspond to all kinds of embedded systems. Forensic analysis of embedded systems will become an area of increasing significance in the near future. Clearly, the growing use of embedded systems and the ubiquitous age is required advanced digital forensic techniques for the future forensic computing. In this paper, we introduce new emerging embedded systems and show a comprehensive methodology for forensic analysis of embedded systems.
Style Transfer Generative Adversarial Networks: Learning to Play Chess Differently

The idea of style transfer has largely only been explored in image-based tasks, which we attribute in part to the specific nature of loss functions used for style transfer. We propose a general formulation of style transfer as an extension of generative adversarial networks, by using a discriminator to regularize a generator with an otherwise separate loss function. We apply our approach to the task of learning to play chess in the style of a specific player, and present empirical evidence for the viability of our approach.
Conceptual Integration In Multiple Viewed Requirements Development

This paper addresses software requirements development, and how it can be supported by combining multiple views of participants with the ability for the participants to gain feedback from other views. We include a brief justification for the inclusion of multiple views, a brief summary of multiple-viewed approaches, and introduce conceptual graphs as a representation method for requirements. We use some simple techniques, using a brief example, along with the Wordnet database to show how conceptual feedback supports elicitation and acquisition. We finally outline some future work we will undertake to further explore the techniques.
Morphological Decomposition and Stress Assignment for Speech Synthesis

Both appt~oaches have their advantages and disadvantages; dictionary lookup fails for unknown words (e.g., proper nouns) and letter to sound rules fail for irregular words, which are all too common in English. Most speech synthesizers adopt a hybrid strategy, using the dictionary when possible and turning to letter to sound rules for the rest. I discussed letter to sound rules at the last meeting of the ACL [Church]; this paper will report on some new dictionary lookup approaches, with an emphasis on morphology.
Should Hezbollah Be Next

The radical Lebanese Shi'ite movement Hezbollah is fomenting violence in post-war Iraq and fanning the flames of the Israeli-Palestinian conflict. Its bloody track record makes it a natural target in the war on terror. But Washington's only option is to confront Hezbollah indirectly: by getting its backers, Syria and Iran, to help change its focus from militancy to politics.
Est16, a New Esterase Isolated from a Metagenomic Library of a Microbial Consortium Specializing in Diesel Oil Degradation

Lipolytic enzymes have attracted attention from a global market because they show enormous biotechnological potential for applications such as detergent production, leather processing, cosmetics production, and use in perfumes and biodiesel. Due to the intense demand for biocatalysts, a metagenomic approach provides methods of identifying new enzymes. In this study, an esterase designated as Est16 was selected from 4224 clones of a fosmid metagenomic library, revealing an 87% amino acid identity with an esterase/lipase (accession number ADM63076.1) from an uncultured bacterium. Phylogenetic studies showed that the enzyme belongs to family V of bacterial lipolytic enzymes and has sequence and structural similarities with an aryl-esterase from Pseudomonas fluorescens and a patented Anti-Kazlauskas lipase (patent number US20050153404). The protein was expressed and purified as a highly soluble, thermally stable enzyme that showed a preference for basic pH. Est16 exhibited activity toward a wide range of substrates and the highest catalytic efficiency against p-nitrophenyl butyrate and p-nitrophenyl valerate. Est16 also showed tolerance to the presence of organic solvents, detergents and metals. Based on molecular modeling, we showed that the large alpha-beta domain is conserved in the patented enzymes but not the substrate pocket. Here, it was demonstrated that a metagenomic approach is suitable for discovering the lipolytic enzyme diversity and that Est16 has the biotechnological potential for use in industrial processes.
The Effect of a Combined Multiple-Modality Exercise Intervention on Sensorimotor Function in Community Dwelling Older Adults, with A Subjective Cognitive Complaint: The M4 Study (Multi-Modal; Mind Motor)

ii Acknowledgements iii List of Tables vi List of Figures vii List of Appendices viii List of Terms and Abbreviations ix Chapter 1 1 1.1 Literature Review 1 1.2 Aging and Cognitive Impairment 1 1.3 Exercise on Brain Health 3 1.4 Exercise and Neuroplasticity 4 1.5 Exercise and Cognitive Functions 6 1.5. 1 Aerobic Training 7 1.5. 2 Resistance Training 8 1.5. 3 Cognitive Training 9 1.5. 4 Combined Training 10 1.5. 5 Dual-Tasking and Cognition 11 1.5. 6 Square Stepping Exercises (SSE) 12 1.6 Exercise and Inhibitory Control 13 1.6. 1 Aerobic Training and Inhibitory Control 14 1.6. 2 Resistance Training 14 1.7 Antisaccade Task (AS) 15 1.7. 1 Neural Mechanisms for the Antisaccade task 16 1.7. 2 Antisaccade Task and Cognitive Decline 16 1.7. 3 Exercise and Antisaccade Task 17 1.8 Summary 18 Chapter 2 19