Miracle-dz/UniFAR-FTUs huggingface dataset:
Does the Community College Pathway Influence the Selectivity of Students’ Destination 4-Year Institution?

Objectives: In this study, we explore the influence of enrolling initially at a community college before transferring to a 4-year institution on the selectivity of the destination 4-year institution. Method: We leverage nationally representative data and a propensity score matching approach to compare the institutional selectivity between students who begin at a community college before transferring to a 4-year institution and those who begin at a 4-year college or university. To estimate the relationship between the community college pathway and institutional selectivity, we employ an ordinal logistic regression model. Results: We find that transferring from a community college to a 4-year institution had a positive influence on the selectivity of students’ destination 4-year institution. More specifically, students who enroll initially at a community college before transferring to a 4-year institution have a greater probability of attending a very selective 4-year institution and moderately selective 4-year institution when compared with native 4-year students. Students who transferred from a community college have a lower probability of attending minimally selective 4-year institutions and open-admission 4-year institutions when compared with otherwise-similar students who began at a 4-year institution. Contributions: By showing a positive relationship between the vertical transfer and the level of selectivity of students’ destination 4-year institution, this study highlights a potential benefit of beginning at a community college before transferring to a 4-year institution.
A Rule Based Extractive Text Summarization Technique for Bangla News Documents

News summarization is a process of distilling the most important information from a news document in a precise way. For the advancement of Internet nowadays almost all of the Bangla newspapers have their online versions, and people of this era like to read newspaper from website using Internet. But large amount of electronic news content is a burden for human to come out with valuable information. For mitigating this pain point, this paper proposes an automatic method to summarize Bangla news document. In this proposed approach, graph based sentence scoring feature is introduced for the first time for Bangla news document summarization. After analyzing vast amount of Bangla news document 12 sentence scoring features have been introduced for calculating score of a sentence. An improved summary generation method has also been proposed which remove the redundant information from summary. The result is evaluated using a standard summary evaluation tool called ROUGE, and found proposed method outperforms all existing methods used in Bangla news summarization.
Resilience: a nationwide study of medical educators [Version 2]

Background: Medical educators have the potential to play an important role in addressing resilience issues across the medical education continuum. Yet, limited research has explored this cohort, particularly in the UK context. This study aims to address this gap by exploring resilience and the factors that relate to resilience in UK medical educators. Methods: A cross-sectional online questionnaire was employed. It contained the validated Connor-Davidson Resilience Scale 25 (CD-RISC-25) and the eight-item Patient Health Questionnaire Depression Scale (PHQ-8), for determining medical educator resilience and depression levels respectively. Sociodemographic characteristics were also collected to identify potential factors associated with resilience. Finally, participants identified factors that facilitated or undermined their resilience through open-ended questions. Data were analysed using quantitative (e.g. multiple regression analysis), and qualitative (i.e. thematic framework analysis) approaches. Results: Among 244 UK participants, the mean CD-RISC-25 score was 72.9 and standard deviation 10.3. The PHQ-8 score was the only significant negative predictor identified (B = -1.22, p < 0.001). Other sociodemographic variables examined were not found to be predictors of CD-RISC-25 scores. Educators identified multidimensional factors influencing their resilience, but predominately viewed internal factors as being supportive, and external Chan L, Dennis A MedEdPublish https://doi.org/10.15694/mep.2019. 000020.2 Page | 2 factors as undermining. Conclusions: Medical educators in this study had resilience levels that were comparable to other population samples. The study also highlights the importance of considering external factors, such as contextual and sociocultural influences, in addition to individual factors when addressing resilience.
Nutritional status and menarche in a rural community in the Philippines.

To examine the relationship between nutritional status and onset of menarche anthropometric measurements and information on age at menarche were obtained from 1844 females aged 6-17 years in a rural community in the Philippines. The mean age at the initiation of the growth spurt in height was 13.5 years while the spurt in weight occurred at the age of 11.5 years. 25.2% of respondents had attained menarche by age 11.5 years 43.6% by age 13.5 years 88.2% by age 14.5 years and 96.6% by age 15.5 years. This contrasts with data from Bangladesh where only 3.5% of girls attain menarche by age 13.5 years and only 35.1% reach this point by age 15.5 years. Further analysis indicated that both age and weight are related to the proportion achieving menarche. The effect of height is not as marked as that of body weight. A minimum level of fatness (about 17% of body weight) is associated with the onset of menstruation and its continued maintenance. Malnutrition results in a shorter reproductive span later age at menarche and early menopause. Since improvements in nutritional status in developing countries can be expected to result in a pattern of early menarche late menopause short birth intervals and shorter periods of adolescent subfecundity increasing attention must be given to family planning counseling of adolescents.
Network Dynamics and Knowledge Transfer: Network Dynamics and Knowledge Transfer in Virtual Organizations

In this paper, we examine whether particular network structures foster knowledge transfer among distinct open-source projects. Deploying panel data, we compare organizations that were in a giant component of a network for relatively long periods of time with organizations that joined the giant component during the sample period. Our findings show that joining a large pool of knowledge (i.e., a giant component) allows projects to gain access to novel knowledge and ideas. Moreover, established projects within the giant component benefit differently from changes in network structures than projects that only recently entered such giant component of a network.
Cache and NUMA optimizations in a domain-specific language for graph processing

High-performance graph processing is challenging because the sizes and structures of real-world graphs can vary widely. Graph algorithms also have distinct performance characteristics that lead to different performance bottlenecks. Even though memory technologies such as CPU cache and non-uniform memory access (NUMA) have been designed to improve software performance, the existing graph processing frameworks either do not take advantage of these hardware features or overcomplicate the original graph algorithms. In addition, these frameworks do not provide an interface for easily composing and fine-tuning performance optimizations from various levels of the software stack. As a result, they achieve suboptimal performance. The work described in this thesis builds on recent research in developing a domainspecific language (DSL) for graph processing. GraphIt is a DSL designed to provide a comprehensive set of performance optimizations and an interface to combine the best optimization schedules. This work extends the GraphIt DSL to support locality optimizations on modern multisocket multicore machines, while preserving the simplicity of graph algorithms. To our knowledge, this is the first work to support cache and NUMA optimizations in a graph DSL. We show that cache and NUMA optimizations together are able to improve the performance of GraphIt by up to a factor of 3. Combined with all of the optimizations in GraphIt, our performance is up to 4.8x faster than the next fastest existing framework. In addition, algorithms implemented in GraphIt use fewer lines of code than existing frameworks. The work in this thesis supports the design choice of a compiler approach to constructing graph processing systems. The high performance and simplicity of GraphIt justify the separation of concerns (modularity) design principle in computer science, and contribute to the larger effort of agile software systems development. Thesis Supervisor: Julian Shun Title: Assistant Professor
Interval Training Improves Depressive Symptoms But Not Anxious Symptoms in Healthy Women

Background: Despite important advances in the relationship between exercise and mood disorders, especially regarding moderate-intensity continuous training, there is a lack of information about the chronic effects of interval training protocols. We compared the effects of two different interval training protocols [sprint interval training (SIT) and high-intensity interval training (HIIT)] on depressive and anxious symptoms in healthy women. Methods: Thirty-six women were randomly allocated to HIIT (n = 18) or SIT (n = 18) groups and performed 24 training sessions over 8 weeks (thrice a week). Levels of state–trait anxiety and depressive symptoms were evaluated using State–Trait Anxiety Inventory and Beck Depression Inventory, respectively, before and after training intervention. Results: Two-way analysis of variance (ANOVA) did not reveal a significant effect of time (p > 0.05), group intervention (p > 0.05), or time × group interaction (p > 0.05) on state–trait anxiety; however, two-way ANOVA showed a significant effect of time on depressive symptoms (p = 0.025) but not group effect (p = 0.548) or time × group interaction (p = 0.373). Depressive symptoms of the participants in both HIIT and SIT groups were reduced from baseline, (ΔHIIT) −17.5 ± 27.9% and (ΔSIT) −28.6 ± 47.5%, respectively. Conclusion: HIIT and SIT groups similarly improved depressive symptoms but not anxiety levels in healthy and physically active young adult women.
Personalized versus partisan representation in the speeches of migrant members of parliament in the German Bundestag

ABSTRACT Given the increasingly polarized debates in many modern democracies over migration and integration, the behaviour of members of parliament (MPs) with a migrant background has important implications for patterns of representation. Drawing on role congruity theory, we hypothesize that MPs with a migrant background deliver more legislative speeches in debates that are of interest for citizens with a migrant background. The findings, which are based on speeches delivered in the German Bundestag between 2009 and 2013, indicate that MPs of immigrant origin, in particular those MPs who have a “visible” migrant background, deliver significantly more speeches in debates focusing on civil rights. We also find that migrant MPs who are elected via the party list, as opposed to MPs who are directly elected in a district, are more likely to speak in debates on citizen and minority rights, suggesting that the parliamentary party leadership strategically selects migrant MPs as speakers in certain parliamentary debates.
Mainstreaming HIV/AIDS in physiotherapy education and practice

This book presents a series of studies that inform education and practice for physiotherapists managing with HIV/AIDS. It presents a comprehensive assessment of disability using the ICF and outlines the difficulties related to disability experienced by people living with HIV/AIDS in a poorly resourced and well resourced environment. Difficulties experienced by patients are used to inform practice and education for physiotherapists. The first study informs the clinical picture by revealing the level of referral to physiotherapy where only 3% of eligible patients were referred to physiotherapy. Study two gives an overview of the functional and participation limitations of people living with HIV. The remaining three studies informed the curriculum component of this thesis. The final result is a conceptual framework drawn from the results of this thesis illustrating the three levels of curriculum taxonomy: micro level, through the body systems, meso level dealing with internal and external domains and teaching approaches. The macro level included facilitatory activities such as advocacy among clinicians and academics.
Why Do Criminology and Criminal Justice Students Choose Their Major? An Examination of Parental, Personality, and Other Individual Characteristics

Abstract A truism concerning college attendance is that the knowledge and experiences gained from it have the ability to change one’s attitudes and beliefs. In regard to criminology and criminal justice (C&CJ) education, this has led researchers to assume that what separates the students majoring in this field from other majors is course work alone. Due to students self-selecting their major, however, any similarities found among C&CJ majors may simply be an artifact of them commencing college as a more homogenous group. The question then is whether or not C&CJ majors begin their college careers as a more likeminded group compared to their non-C&CJ counterparts. This paper addresses this question by surveying college freshmen from all academic fields. Specifically, it examines how C&CJ majors and non-majors differ at the start of their college careers in the areas of personality characteristics, parental demographics, TV show preferences, and reasons for selecting a major.
Long-Term Effects of Multimodal Treatment on Psychopathology and Health-Related Quality of Life of Children With Attention Deficit Hyperactivity Disorder

Aim The current study aimed to examine the association between long-term (36 months) multimodal (pharmacological and psychological) treatment and psychopathology and health-related quality of life (HRQoL) in children with attention deficit/hyperactivity disorder (ADHD) from the perspectives of both the children and parents. Methods The sample consisted of 23 children with ADHD (21 boys, 2 girls, mean age = 13.46 years, SD = 2.36) and 23 healthy control children (11 boys, 12 girls, mean age = 12.49 years, SD = 1.75). The Mini International Neuropsychiatric Interview for Children and Adolescents (MINI Kid) was applied to measure psychopathology and both parent and self-rated versions of the Inventory for the Measure of the Quality of Life in Children and Adolescents were used to assess HRQoL at baseline and at the 36-month follow-up visit. The ADHD group took part in multimodal (medical and behavioral) therapy. The healthy control group did not get any intervention. Results At the baseline, the ADHD group was characterized with higher scores in nine MINI Kid scales and showed lower HRQoL than the control group according to both children and their parents. At the 36-month follow-up visit six scale scores (ADHD, social phobia, oppositional defiance and conduct disorder, major depressive episode, dysthymic disorder) showed statistically significant decreases in the ADHD group, while these scores were constant in the control group. Parent-rated HRQoL was significantly lower in the clinical group at baseline than at the end of the study, but there were no significant changes in the control group. Self-reported changes in HRQoL matched parent-reported changes. Interpretation Multimodal therapy is associated with decreased psychopathology and improved HRQoL over the long term.
Differences in Walking Mechanics between a Traditional Walker and the KB Balance Trainer

DIFFERENCES IN WALKING MECHANICS BETWEEN A TRADITIONAL WALKER AND THE KB BALANCE TRAINER SILVIA ZANINI 2019 INTRODUCTION: Millions of individuals with ambulatory difficulties rely on walking aids to maintain independence and mobility. However, users of traditional walkers typically exhibit increased forward lean of their trunk while using the assistive device. The KB Balance Trainer is a new posterior walker designed to facilitate a more erect position during gait. PURPOSE: To compare gait mechanics across three walking conditions: unassisted, using a traditional walker, and using the KB Balance Trainer. METHODS: Seven adults with experience using walkers due to ambulatory difficulties participated in the study. The study consisted of one training session and one gait analysis session. The training session was 30 minutes of instruction and practice on how to properly use each assistive device. During the data collection, participants walked on flat ground in three walking conditions at a self-selected speed: walking with the traditional walker (TW), the KB Balance Trainer (KB), or unassisted (UW). RESULTS, DISCUSSION, CONCLUSION: Gait speed increased similarly while using both assisted devices compared to unassisted walking, showing that the KB was as effective as the TW to aid in mobility. The KB showed slightly less mean trunk flexion than the TW. However, mean trunk flexion was greater while using either device compared to unassisted walking. Therefore, neither device was able to promote erect posture. In addition, hand to hip distance showed that participants incorrectly used the KB Balance
Study of Current and Former Vegetarians and Vegans - Companion to the Secondary Findings

This document is a companion to the report, Study of Current and Former Vegetarians and Vegans: Secondary Findings. It provides additional detail about the frequency of consumption of animal products by lapsed vegans/vegetarians and various subgroups. It expands on three sections from the primary report: 1) Animal Product Consumption of Former Vegetarians/Vegans Who Avoid Beef & Pork; 2) Former Vegetarians/Vegans’ Animal Product Consumption Given Strength of Motivations; and 3) Differences Between Vegetarians and Vegans.
Shopping on Social Networking Media – Gender Based Consumers’ Opinion

Marketing is tough every year and companies find several ways to reach customers and one such way is through social media. As technology rules the world, innovation opens its roots in various fields and communication is not an exemption nowadays. Social Networking Media provides platform to bring customers at one place virtually and promotes different products that suits customers’ need and requirement. However, discrimination between male and female customers exists and their attitude differs for certain dimensions of shopping. This study is designed to find out the customers’ opinion about various dimensions of social networking sites and also to identify the variations among the customers towards shopping on social networking sites with respect to their gender. Data was collected from university students who use social networking sites for shopping. Result shows that learning to shopping, enjoyableness, pleasant, easy in using credit card for shopping, fit between products and SNS are found to be significant variation between male and female respondents.
Residential Satisfaction, Psychological Well-Being and Perceived Environmental Qualities in High- vs. Low-Humanized Residential Facilities for the Elderly

Using the “user-centered” design perspective and the construct of design “humanization” as theoretical underpinnings, this field study verified the role of “objective” design quality of residential facilities for the elderly in the prediction of “subjective” users’ psychological responses. A sample of over-65-year-old adults (N = 114) was recruited in eleven residential facilities, which differed for the degree of “objective” design humanization (rated on the basis of a design expert assessment). Participants had to fill in a questionnaire including measures of both specific perceived environmental qualities (spatial-physical and social-relational) and more general psychological responses (such as residential satisfaction and psychological well-being). Outcomes revealed that older residents living in high-humanization structures show higher scores of residential satisfaction, psychological well-being and perceived environmental qualities than those living in low-humanization structures. Moreover, significant correlations emerged between specific perceived environmental qualities of the facility and general psychological outcomes. These results confirm the importance of design features for supporting elders’ needs and fostering their quality of life.
Reconsidering Graduate Training and Clinical Practice: The Importance of Psychodynamic Thinking

Abstract Treatment can be powerfully informed by the exploration of psychodynamic concepts. Yet, many graduate social work programs struggle to adequately examine these ideas. Psychodynamic practice has transformed from a framework of long-term private practice, which requires multiple sessions a week, to a contemporary framework that can integrate into any modality, frequency, setting, and length of treatment. Literature on the psychodynamic approach has not been effectively incorporated into most current graduate programs. This article addresses this gap in social work education by advocating for graduate-school coursework focusing on—at a minimum—the concepts of (a) the unconscious, (b) transference, and (c) countertransference. In the following pages, we offer a synopsis of current graduate-level coursework, and an examination of psychodynamic thinking, including its base of evidence and value in contemporary treatment. This article explores an integrative approach to training and practice. We argue that understanding these fundamental psychodynamic concepts creates a more nuanced, deeper, and impactful treatment and that training in this area is beneficial to all social workers.
DeepWear: Adaptive Local Offloading for On-Wearable Deep Learning

Due to their on-body and ubiquitous nature, wearables can generate a wide range of unique sensor data creating countless opportunities for deep learning tasks. We propose DeepWear, a deep learning (DL) framework for wearable devices to improve the performance and reduce the energy footprint. DeepWear strategically offloads DL tasks from a wearable device to its paired handheld device through local network connectivity such as Bluetooth. Compared to the remote-cloud-based offloading, DeepWear requires no Internet connectivity, consumes less energy, and is robust to privacy breach. DeepWear provides various novel techniques such as context-aware offloading, strategic model partition, and pipelining support to efficiently utilize the processing capacity from nearby paired handhelds. Deployed as a user-space library, DeepWear offers developer-friendly APIs that are as simple as those in traditional DL libraries such as TensorFlow. We have implemented DeepWear on the Android OS and evaluated it on COTS smartphones and smartwatches with real DL models. DeepWear brings up to 5.08X and 23.0X execution speedup, as well as 53.5 and 85.5 percent energy saving compared to wearable-only and handheld-only strategies, respectively.