Miracle-dz/UniFAR-FTUs huggingface dataset:
EFFECTS OF THE SELF- DETERMINED LEARNING MODEL OF INSTRUCTION ON GOAL ATTAINMENT AND SELF-DETERMINATION FOR STUDENTS WITH AUTISM SPECTRUM DISORDER.

Even with current transition practice and service delivery requirements mandated for students with disabilities by the Individuals with Disabilities Education Act (IDEA, 2004) participation in postsecondary education and employment for individuals with autism remains low (Shattuck et al., 2012; Newman, Wagner, Cameto, & Knokey, 2011). The purpose of this study was to determine the effects of the Self-Determined Learning Model of Instruction (SDLMI; Wehmeyer, Palmer, Agran, Mithaug, & Martin, 2000). The intervention was designed to facilitate student development, and participation in community college course settings, increase academic and vocational goal attainment and self-determined behavior while decreasing support needs. The SDLMI has been shown to be effective for teaching students with disabilities how to access the general education curriculum and increase self-determination skills to achieve academic and vocational goals. A multiple probe design across participants with four collegeaged students with autism evaluated the effects of the intervention for three different postsecondary education goals. Study findings show the extent to which the intervention affects participants’ ability to be more self-determined in their decision-making regarding the management of postsecondary educational goals and course requirements using self-directed learning. The SDLMI Teacher’s Guide for Model Implementation (Shogren, Wehmeyer, Burke, & Palmer, 2017) and teacher-facilitated procedures (National Technical Assistance Center on Transition, 2017) were used to ensure intervention implementation fidelity. The researcher and trained research assistant compared real time data in point-by-point agreement ratios to quantify the number of times the observers agreed about what they saw in each observation to determine
TCP-friendly Rate Control Algorithm Based on Wireless-wired Hybrid Network

Real time multimedia transport protocols in wireless-wired hybrid network are facing new challenges.On the basis of extensive study of characteristics of wireless-wired hybrid network and the current TFRC mechanism,this paper proposes a new TCP-friendly rate control mechanism for real-time traffics.The new mechanism uses Jitter ratio as the signal to differentiate congestion losses and wireless link losses to adjust TFRC’s rate control algorithm.Extensive simulations on NS-2 verify that the new mechanism has better performance than TFRC as well as keeps reasonable friendliness to TCP flows.
Crystallography and its Applications

L S Dent Glasser Wokingham: Van Nostrand Reinhold 1977 pp viii + 224 price approx £12 (cased), £5.95 (paperback) Crystallography is a subject well endowed with numerous textbooks and so the relative merits of any new text can be scrutinised against an existing framework. However, Dr Dent Glasser's book does not attempt in any way to compete with established texts, but rather around a desire to produce a useful and practical guide for the advanced undergraduate and other research workers not specialised in crystallography.
High School Students' Sexual Health Education - A Retrospective Appreciative Study With University Students in Saskatchewan

The purpose of this qualitative research study was to explore first year university students experiences in relation to their sexual health education they received through high school in Saskatchewan, Canada. Using the appreciative inquiry method, my intent was to uncover participants positive experiences, paying little attention to negative ones, creating an environment where participants could build an image of an ideal future for sexual health education [SHE] in high schools. Research in Saskatchewan is limited on the subject, but Saskatchewan has some of the highest teenage pregnancy rates and sexually transmitted infection rates in the country (Public Health Agency of Canada, 2010) and studies have shown inconsistencies in curriculum and what is being taught (Options for Sexual Health, 2004). Using a purposive sampling technique participants were selected from a first year university class. I collected data from 39 participants via an online discussion forum, eight one on one interviews and a reflective journal. During the analysis phase of this project, through coding, theming and reflection four major themes emerged from the data. The teacher, the environment, the content of the class and interactive learning all played major roles in participant experiences that influenced their sexual health education in the classroom. Furthermore, through one on one interviews participants expressed their views on what they think an ideal SHE program looks like, discussing what core concepts SHE should provide students, best methods to provide the information and key qualities an educator teaching SHE should possess. Recommendations for direction of future research are presented.
Revisiting Culture and Meaning-Making in World-Systems Analysis: A Proposal for Engaging with the Cultural Political Economy Approach

World-systems analysis (WSA) understands socio-cultural phenomena as fundamental to the operation of global capitalism, whether through geocultures that sustain centrist liberalism, the emergence of capitalist subjectivities, or by generating structures of knowledge that bound political possibilities. Nonetheless, many scholars critique WSA’s treatment of culture as reductive and epiphenomenal. How can we theorize culture’s relationship to global capitalism without assuming that culture merely “dupes” participants into reproducing exploitative structures? In this article, we offer a critical evaluation of WSA’s treatment of culture and argue that its alleged failings can be ameliorated by adopting a cultural political economy (CPE) framework, an analytical approach that has developed separately from WSA. To do so, we outline WSA’s major theorizations of culture; namely, its discussion of global geocultures and structures of knowledge. Departing from existing critiques of WSA, we discuss the applicability of CPE, which examines how discourses both influence and are shaped by the material world. Using anti-systemic movements, populism, and race-making in the world-system as examples, we demonstrate how a CPE-oriented approach permits WSA to address its major cultural critiques. Broadly, we call for a theoretical co-mixing of CPE and WSA, allowing researchers to address the alleged cultural failings of world-systems scholarship.
Algorithms for Approximate Bayesian Computation

Computer models can be broadly categorized as deterministic or stochastic. Deterministic models output the same predictions for the same inputs. Stochastic models output different predictions for the same inputs. Our focus is stochastic computer models (SM), and in particular, on a new option to calibrate SMs using approximate Bayesian computation (ABC). An example used later in this article is a SM to model neuronal loss in a region of the human brain that is associated with Parkinson’s disease. Deletion mutations in the mitochondrial DNA (mtDNA) in that brain region are observed to accumulate with age. A deletion mutation converts a healthy copy of mtDNA to the mutant (unhealthy) variant. The number of mutant copies in cases with Parkinson’s disease tends to be higher than in controls without Parkinson’s disease. The role that mtDNA deletions play in neuronal loss is not yet fully understood, so better understanding of how mtDNA deletions accumulate is an area of active research. Henderson et al. (2009) use a simple SM that allows for any of five reactions, occurring at rates to be estimates. The five reactions are mutation, synthesis, degradation, mutant synthesis, and mutant degradation. Approximate Bayesian computation (ABC) is an approach for using data to calibrate a SM and is especially useful when the likelihood for the data is unknown or intractable. ABC requires a set of summary statistics computed from real data. Then, the same set of summary statistics is computed from the SM for each of many candidate model parameter values. In a parameter acceptance/rejection loop, the candidate SM parameter values that are accepted provide an approximation to the posterior distribution of model parameters given the summary statistics computed from the real data. In a nutshell, ABC favors model parameters for which simulated summary statistics roughly agree with the corresponding summary statistics computed from the observed data. Because ABC relies on user-chosen summary statistics rather than on full data, it becomes computationally feasible. ABC is therefore appealing when the data dimension and/or parameter dimension is large. This article describes applications of ABC and illustrates the challenges with ABC related to the quality of the approximation to the posterior distribution of model parameters. The challenges involve the fact that the user must choose (1) summary statistics, (2) a distance measure to calculate the distance between summary statistics in the real data and in the modelsimulated data, and (3) the acceptance threshold used to accept or reject candidate parameter values in the acceptance/rejection sampling loop. For a model with parameters θ and data D, a key quantity in Bayesian inference is the posterior distribution of model parameters given by Bayes theorem as
School Climate, Emotions, and Relationships: Children's Experiences of Well-Being in the Midwestern U.S

The purpose of this phenomenological study was to explore children’s perceptions of school relationships, and the ways in which those relationships supported or undermined children’s emotional well-being (EWB). This sub-study of a multinational comparative investigation of children’s well-being followed a semi-structured qualitative interview protocol. Rural and urban children (age 8 to 13, N = 23) from the Midwestern U.S. completed the interview and mapping exercise used to explore aspects of and influences on their subjective well-being (including school). Phenomenological analyses of interview transcripts focused on 1) the essence of children’s EWB (including emotional valence and arousal) within the context of school relationships and 2) children’s perception of the impact of school relationships on their EWB. A seasonal metaphor captured the essence of children’s experiences of EWB, which naturally clustered into four themes based on emotional intensity and valance: spring, summer, fall, and winter. Children’s emotional experiences with teachers and peers were similarly represented in the themes, with the exception of winter emotions, which diverged. Children expressed complex, multilayered emotions within the school setting that were connected to the quality of school relationships. Findings are discussed in the context of improving school relationships and climate to support children’s EWB.
Development of constructive response to frustration in adolescence using arts-based approaches

The article focuses on the problem of the emotional development constructive response in adolescence, which is of increasing relevance within the context of the rise in negative social manifestations, changes in social situation of development. The aim of this research is to formulate a constructive responsemodel’s development to adolescent frustration from socially advantaged and disadvantaged groups using art-based approaches (specifically art therapy) combined with traditional psychological tests and modeling experiments. The studydrawson the concepts of L. S.Vygotsky about thepeculiarities of adolescents’ mental development and the role of this period in the formation of personality, as well as various aspects of affect and needs development in childhood (L. I. Bozhovich). The study considers the position of mental states as a particular psychological category and their (states) integrating function, conception of the regulation of mental states (N. D. Levitov), theoretical and experimental development for the diagnosis, management, and directed formation of the mental states (Yu. B. Nekrasova) as well as the concept of experiencing (“perezhivanie”) as described by F. E. Vasilyuk. A range of methods, combining quantitative and qualitative approaches were used in the study: video observation (outlined in the protocols); mathematical statistics; tests and modeling experiments. Experimental studies were carried out over a duration of five years within three different types of schools in the region of Moscow (n= 203, aged 13-15). One conclusion of the experimental studies, the author‘s program was implemented in a number of educational institutions in Moscow and other regions in Russia.
‘Damned if you do, damned if you don’t:’ Black parents’ racial realist school engagement

ABSTRACT Conventional scholarship frames parent involvement in schools as crucial for student success, often depicts Black and Brown parents as under-engaged, and implies their increased engagement would lead to the end of racial disparities in education. This study challenges this traditional discourse and introduces the notion of Racial Realist Parent Engagement. Racial Realist Parent Engagement is a practice and theoretical framing drawn from Derrick Bell’s notion of racial realism and a qualitative multicase study of the school engagement experiences of 16 Black parents. These parent participants resisted antiblackness in their children’s schools while simultaneously recognizing racism to be a permanent and inevitable aspect of schooling. Racial Realist Parent Engagement shifts parent involvement theory, policy, and practice to a more complex understanding of the purposes and benefits of parent engagement for Black and Brown families – and demands expansive racial justice policy for student learning.
COMBUSTI/O. Abstractions facilitating parallel execution of programs implementing common I/O patterns in a pipelined fashion as workflows in Spark

In light of recent years’ exploding data generation in life sciences, increasing downstream analysis capabilities is paramount to address the asymmetry of innovation in data creation contra processing capacities. Many contemporaneously used tools are sequential programs, ofttimes including convoluted dependencies leading to workflows crashing due to misconfiguration, detrimental to both development efforts and production, also inducing duplicate work upon re-execution. This thesis proposes a distributed and easy-to-use general framework for workflow creation and ad hoc parallelization of existing serial programs. In furtherance of reducing wall-clock time consumed by big data processing pipelines, its processing is horizontally scaled out, whilst supporting recovery and tool validation. combusti/o is a cloud and hpc ready framework for pipelined execution of unmodified third-party program binaries on Spark. It supports tool requirements of named input and output files, usage and redirection of standard streams, and combinations of these, as well as both coarse and fine granularity state recovery. Designed to run independently, its scalability is reduced to Spark and the underlying fault-tolerant big data frameworks. We evaluate combusti/o on real and synthetic workflows, demonstrating its propriety for facilitation of complex compute-intensive workflows, as well as its applicability for data-intensive and latency-sensitive workflows, and validate the coarse-grained recovery mechanism and its cost for the different flavors of workflows. We show stage recovery to be beneficial during development, for compute-intensive workflows, and for error-prone data-intensive workflows. Moreover, we show that the i/o overhead of combusti/o grows for dataintensive workflows, and that our remote tool execution is inexpensive. combusti/o is open-sourced at https://github.com/jarlebass/combustio, and currently used by sfb at the University of Tromsø.
Computer Games – Preferred Way of Using ICT by Grammar School Students

The paper describes the results of a research study, which examined the degree of addiction in 18-year-old grammar school students in the Czech Republic to computer games. In the research the authors used a quantitative research approach based on the author’s own questionnaire to identify the degree of addictive behaviour in students in relation to computer games. The research sample consisted of 525 students in grade three of four-year grammar schools (or an equivalent grade of multi-year grammar schools) from 10 randomly selected schools. The author used a statistical analysis to identify the groups of 18-year-old students according to their addictive behaviour. In the research the following result processing methods were used: K-means cluster analysis, globalized cluster analysis, Student’s t-test and analysis of variance ANOVA; the analysis of nominal data was performed by means of the Chi-square test of independence. The research study suggested that 7.8 % of all grammar school students involved in the study showed addictive behaviour in relation to computer games. Their behaviour was affected by gender; male students showed a significantly higher degree of addictive behaviour compared with female students. An interesting finding is the effect of the school’s focus on addictive behaviour. In a Church grammar school the degree of addictive behaviour was significantly lower than in other types of schools. The results of the research study also suggested three basic groups of grammar school students according to their approach to computer games. In addition to other aspects, these groups showed a completely different degree of addiction. © 2016 Published by Future Academy www.FutureAcademy. org.uk
Working with children suffering from abuse and neglect

Abstract This paper examines the history of advocacy for the rights and safety of children suffering from abuse and neglect in the United States and more specifically in the state of Iowa. It looks at statistical data concerning the incidence of child abuse and its correlation to age and ability level. It addresses the developmental, psychological, emotional, and physical effects of child abuse. This paper also outlines the role of the school counselor in helping children who are victims of abuse and neglect, as well as gives interventions that may be used to assist this population. Abstract This paper examines the history of advocacy for the rights and safety of children suffering from abuse and neglect in the United States and more specifically in the state of Iowa. It looks at statistical data concerning the incidence of child abuse and its correlation to age and ability level. It addresses the developmental, psychological, emotional, and physical effects of child abuse. This paper also outlines the role of the school counselor in helping children who are victims of abuse and neglect, as well as gives interventions that may be used to assist this population.
Design and application of Compound Kernel-PCA algorithm in face recognition

The principal component analysis (PCA) is one of the most commonly used feature extraction methods in face recognition, but the traditional PCA method can't deal with the non-linear problem between pixels. In this paper, based on the traditional PCA, combined with the advantages of KPCA(kernel-PCA), a new composite kernel-PCA algorithm is designed. By combining the two single kernel functions, the new algorithm can make full use of their complementary characteristics. Experiments were performed on ORL and FERET face database respectively. Through the analysis and comparison of the experimental results, it is proved that this algorithm can achieve the efficient recognition of face images, and has better robust performance when dealing with large sample database.
Security and Privacy Management in Service Oriented Architectures: Development of a Web Services Architecture for Managing Sensitive Data

The book is focused on the analysis and design of a novel software architecture with the purpose of supporting distributed user and document management.Particular attention is dedicated to the outsourcing of sensitive semi-structured document data to untrustworthy database servers and related security concerns. Current standardization efforts in the field of Web service security serve as starting point for the development of core security components with special focus on sensitive data encryption, key management and authorization of user requests.Real world application settings are identified, whereas main selection criteria comprise the applicability of multi-user systems and a high demand for security mechanisms for managing sensitive data sets. Results are demonstrated and tested by prototypical reference implementations. The closing specification of the developed interfaces provides means for future integration of the security services with existing application systems.
Automatic Identify Chinese Comparative Sentences

Comparative sentence identification in evaluative text is an essential task in comparative sentiment analysis,which has important research value. This paper proposes a comparative sentence identification method in Chinese. First,extract comparative candidates which contain at least a keyword to form a set of comparative candidates. Then identify comparative sentences from the set of candidates based on feature fusion. The experiment result shows the F1- score is 87.26%.
Vehicle Detection Algorithm Used in Intelligent Surveillance

We propose a vehicle detection algorithm based on video sequence for Intelligent Surveillance used in Mine supervision.The algorithm uses histograms of orientation gradient(HOG) combined with linear support vector machine(SVM) as a basic means of identification.In order to improve the detection efficiency and reduce the detection range,the recognition algorithm uses background subtraction method extract contains movementthe target area;At the same time,this paper proposes a repeatedly detected method based on the tracking of the video sequence to improve the recognition accuracy and make judgments based on multiple detection results.The experimental results show that,in the actual environment of the site,the proposed algorithm is able to recognize engineering vehicles,has faster detection speed and higher accuracy rate,and has better performance for CPU resources.
Latent class multitrait-multimethod models

The present paper suggests a statistical method, the latent class MTMM model, of estimating the quality of single questions while making fewer assumptions than have been made so far in such evaluations. The method is a combination of the multitrait-multimethod research design of Campbell and Fiske (1959), the basic response model for single questions of Saris and Andrews (1991), and the latent class factor model of Vermunt et al. (2004). The latent class MTMM model is thus not novel in itself, but combines an existing design, model, and method to improve the analysis of single questions in survey research. A real experiment from the European Social Survey (ESS) is analyzed and the results are discussed at length, yielding valuable insights into the functioning of these questions.