Relationship between Teacher Self-efficacy and Use of Evidence-based Practices in Managing Students with Challenging Behaviors

Given the negative impact of students\u27 challenging behaviors on the learning process, a need exists to gain a more comprehensive understanding of how teachers\u27 beliefs, practices, and knowledge relate to their abilities to effectively manage classroom behaviors. Three-hundred and forty-two (342) public school (PK-12) teachers in a mid-Atlantic state responded to an on-line survey. Data were examined using correlational statistical analysis to measure the relationship between teachers\u27 sense of efficacy (TSE) and use of evidenced-based practices (EBP) in managing students with challenging behaviors, teachers\u27 use of EBP and how they value types/topics of professional development and years of teaching experience. Significant correlations were found between TSE and use of EBP. Moderate correlations were indicated between use of EBP and type or topic of professional development. Years of experience did not correlate significantly with use of EBP in managing students with challenging behaviors. A significant difference was found between special and general educators\u27 use of EBP, with special educators reporting a higher use of EBP. Results inform educators as to what teachers need in order to increase the use of EBP in an effort to effectively manage students with challenging behaviors. Research indicates TSE is enhanced and student outcomes improve.;Keywords: challenging behaviors, classroom management, evidence-based practices, positive behavior supports, professional development, student discipline, students with disabilities, teacher belief, teacher efficacy, teacher preparation, public schools

FIRST NATIONS EDUCATIONAL GOVERNANCE: A FRACTURED MIRROR

The Constitutional Act 1867 established a dual system of education in Canada – provincial authority and federal responsibility for First Nations‟ education. As a part of its treaty obligations, Canada agreed to provide western schools and services equitable with that provided by provincial systems (Morris 1880/1991). The authors argue that the federal system of education for First Nations children has only a surface similarity with the provincial systems. The fractured federal approach to First Nations education – lack of a governance system, educational policy, limited second level services and funding inequities – contributes to dissimilar educational services and inhibits First Nations‟ student learning and effective educational outcomes.

Computer Vision System-On-Chip Designs for Intelligent Vehicles

Intelligent vehicle technologies are growing rapidly that can enhance road safety, improve transport efficiency, and aid driver operations through sensors and intelligence. Advanced driver assistance system (ADAS) is a common platform of intelligent vehicle technologies. Many sensors like LiDAR, radar, cameras have been deployed on intelligent vehicles. Among these sensors, optical cameras are most widely used due to their low costs and easy installation. However, most computer vision algorithms are complicated and computationally slow, making them difficult to be deployed on power constraint systems. This dissertation investigates several mainstream ADAS applications, and proposes corresponding efficient digital circuits implementations for these applications. This dissertation presents three ways of software / hardware algorithm division for three ADAS applications: lane detection, traffic sign classification, and traffic light detection. Using FPGA to offload critical parts of the algorithm, the entire computer vision system is able to run in real time while maintaining a low power consumption and a high detection rate. Catching up with the advent of deep learning in the field of computer vision, we also present two deep learning based hardware implementations on application specific integrated circuits (ASIC) to achieve even lower power consumption and higher accuracy. The real time lane detection system is implemented on Xilinx Zynq platform, which has a dual core ARM processor and FPGA fabric. The Xilinx Zynq platform integrates the software programmability of an ARM processor with the hardware programmability of an FPGA. For the lane detection task, the FPGA handles the majority of the task: region-of-interest extraction, edge detection, image binarization, and hough transform. After then, the ARM processor takes in hough transform results and highlights lanes using the hough peaks algorithm. The entire system is able to process 1080P video stream at a constant speed of 69.4 frames per second, realizing real time capability. An efficient system-on-chip (SOC) design which classifies up to 48 traffic signs in real time is presented in this dissertation. The traditional histogram of oriented gradients (HoG) and support vector machine (SVM) are proven to be very effective on traffic sign classification with an average accuracy rate of 93.77%. For traffic sign classification, the biggest challenge comes from the low execution efficiency of the HoG on embedded processors. By dividing the HoG algorithm into three fully pipelined stages, as well as leveraging extra on-chip memory to store intermediate results, we successfully achieved a throughput of 115.7 frames per second at 1080P resolution. The proposed generic HoG hardware implementation could also be used as an individual IP core by other computer vision systems. A real time traffic signal detection system is implemented to present an efficient hardware implementation of the traditional grass-fire blob detection. The traditional grass-fire blob detection method iterates the input image multiple times to calculate connected blobs. In digital circuits, five extra on-chip block memories are utilized to save intermediate results. By using additional memories, all connected blob information could be obtained through one-pass image traverse. The proposed hardware friendly blob detection can run at 72.4 frames per second with 1080P video input. Applying HoG + SVM as feature extractor and classifier, 92.11% recall rate and 99.29% precision rate are obtained on red lights, and 94.44% recall rate and 98.27% precision rate on green lights. Nowadays, convolutional neural network (CNN) is revolutionizing computer vision due to learnable layer by layer feature extraction. However, when coming into inference, CNNs are usually slow to train and slow to execute. In this dissertation, we studied the implementation of principal component analysis based network (PCANet), which strikes a balance between algorithm robustness and computational complexity. Compared to a regular CNN, the PCANet only needs one iteration training, and typically at most has a few tens convolutions on a single layer. Compared to hand-crafted features extraction methods, the PCANet algorithm well reflects the variance in the training dataset and can better adapt to difficult conditions. The PCANet algorithm achieves accuracy rates of 96.8% and 93.1% on road marking detection and traffic light detection, respectively. Implementing in Synopsys 32nm process technology, the proposed chip can classify 724,743 32-by-32 image candidates in one second, with only 0.5 watt power consumption. In this dissertation, binary neural network (BNN) is adopted as a potential detector for intelligent vehicles. The BNN constrains all activations and weights to be +1 or -1. Compared to a CNN with the same network configuration, the BNN achieves 50 times better resource usage with only 1% - 2% accuracy loss. Taking car detection and pedestrian detection as examples, the BNN achieves an average accuracy rate of over 95%. Furthermore, a BNN accelerator implemented in Synopsys 32nm process technology is presented in our work. The elastic architecture of the BNN accelerator makes it able to process any number of convolutional layers with high throughput. The BNN accelerator only consumes 0.6 watt and doesn\u27t rely on external memory for storage

Cardiovascular Service Line Chaplain at an Academic Medical Center: Creation, Implementation, and Establishment

Problem Statement: As health care providers and organizations have become complex and specialized, efforts to address the spiritual needs of patients and care team members are often absent. Background: Medical advances, life-saving treatments, and increased efficiency of patient care have all come at a cost to patients and health care providers. We appropriately measure our care team’s performance with disease- and procedure-specific data on morbidity and mortality. However, these measurements come at the risk of rewriting Hippocrates’ endeavor from “cure sometimes, relieve often, comfort always” to “cure always.” The suggestion that failure is not an option is an unattainable expectation with a high price, namely the spiritual distress of care team members, patients, and their families. In 2018, The Joint Commission addressed the issue of unmet spiritual needs, stating that these needs can be associated with greater emotional distress, pain, and anxiety; higher medical care costs; and poorer quality of life. Application: In 2015, the cardiovascular service line at an academic medical center implemented a spiritual care provider position to address the unmet spiritual needs of patients and care team staff. In this article, we describe (1) the evolution of the spiritual care provider’s role and (2) the impact of this resource on the healing of patients and as a support for the personal and professional well-being of health care providers

Family Practitioner Committees and their customers

This paper illustrates some of the ways in which the Family Practitioner Committee will have to change in order to being about their transformation from the ‘passive paying agency’ into the ‘active manager of customer interests’ when the proposals from the recent White Paper, ‘Working for Patients’, became law. We were asked to examine what was happening in the area of ‘consumer relations’ within the National Health Service by the Department of Health. Part of this work has involved our surveying all of the Family Practitioner Committees in England and Wales. This paper presents the results of our survey, examining some of the pioneering work carried out by a handful of FPCs to enhance consumer relations and highlighting the enormous amount of work that has yet to be done to ensure that providers and financiers really know what customers want from their local Health Service. All 98 FPCs were written to for information about customer relations’ initiatives and 60 replies were received. Of these only nine FPCs had carried out work in the area of customer relations, ten planned to do so and one had work in progress. The number of active FPCs varied notably by region. There was evidence of more work being done in the northern part of the country than in the south. The responses indicated that very little work was being undertaken to test the quality of the service provided by contractors (e.g. GPs) to FPCs. Most of the work was either a public relations exercise or surveys of accessibility. The results appeared to have little or no impact upon the policy of the FPCs. If FPCs are to become active managers of primary care services, radical changes in their practices with regard to customer relations are essential and long overdue.

Prevalence and determinants of hepatitis C virus infection among female drug injecting sex workers in Glasgow

Background: Few studies of the prevalence of hepatitis C virus (HCV) infection have focussed on women who work as street sex workers to finance their drug use. Methods: The investigators report the survey findings of such a population in Glasgow. All women attending the health and social care drop-in centre, situated in Glasgow's "Red Light Area", during a four-week period in 1999 were invited to participate in a survey involving theprovision of a saliva sample for anonymous HCV testing and the self-completion of a questionnaire seeking demographic, sexual and injecting practice data. Of the 223 women who attended, 51% agreed to participate. Of the 98 women who provided a sufficient saliva sample, 64% (95% CI: 54%-74%) tested HCV antibody positive; 98% of those who tested positive had ever injected drugs. Adjusting for the 85% sensitivity of the saliva test, the HCV antibody prevalence among IDU sex workers sampled was 81%; a rate which is considerably higher than those recorded, contemporaneously, among Glasgow IDUs generally. Two factors were independently associated with HCV antibody positivity in saliva: ever shared needles and syringes (adjusted OR 5.7, 95% CI 2-16) and number of times imprisoned (adjusted OR 7.3, 95% CI 1.4-39, for more than five times compared to zero times). Women who engage in street sex work to finance their drug habit are a particularly desperate, chaotic and vulnerable population. This study demonstrates that their HCV infection risk may be greater than that for other IDUs. Those responsible for designing interventions to prevent HCV infection among IDUs should consider the special needs of this group

Multidimensional collaboration; reflections on action research in a clinical context

This paper reflects on the challenges and benefits of multidimensional collaboration in an action research study to evaluate and improve preoperative education for patients awaiting colorectal surgery. Three cycles of planning, acting,observing and reflecting were designed to evaluate practice and implement change in this interactive setting, calling for specific and distinct collaborations. Data collection includes: observing educational interactions; administering patient evaluation questionnaires; interviewing healthcare staff, patients and carers; patient and carer focus groups; and examining written and audiovisual educational materials. The study revolves around and depends on multi-dimensional collaborations. Reflecting on these collaborations highlights the diversity of perspectives held by all those engaged in the study and enhances the action research lessons. Successfully maintaining the collaborations recognises the need for negotiation, inclusivity, comprehension, brokerage,and problem-solving. Managing the potential tensions is crucial to the successful implementation of changes introduced to practice and thus has important implications for patients’ well-being. This paper describes the experiences from an action research project involving new and specific collaborations, focusing on a particular healthcare setting. It exemplifies the challenges of the collaborative action research process and examines how both researchers and practitioners might reflect on the translation of theory into educational practices within a hospital colorectal department. Despite its context-specific features, the reflections on the types of challenges faced and lessons learned provide implications for action researchers in diverse healthcare settings across the world

Use of short peripheral intravenous catheters: characteristics, management, and outcomes worldwide

BACKGROUND: Peripheral intravenous catheter (PIVC) use in health care is common worldwide. Failure of PIVCs is also common, resulting in premature removal and replacement. OBJECTIVE: To investigate the characteristics, management practices, and outcomes of PIVCs internationally. DESIGN: Cross-sectional study. SETTING/PATIENTS: Hospitalized patients from rural, regional, and metropolitan areas internationally. MEASUREMENTS: Hospital, device, and inserter characteristics were collected along with assessment of the catheter insertion site. PIVC use in different geographic regions was compared. RESULTS: We reviewed 40,620 PIVCs in 51 countries. PIVCs were used primarily for intravenous medication (n = 28,571, 70%) and predominantly inserted in general wards (n = 22,167, 55%). Two-thirds of all devices were placed in non-recommended sites such as the hand, wrist, or antecubital veins. Nurses inserted most PIVCs (n = 28,575, 71%); although there was wide regional variation (26% to 97%). The prevalence of idle PIVCs was 14% (n = 5,796). Overall, 10% (n = 4,204) of PIVCs were painful to the patient or otherwise symptomatic of phlebitis; a further 10% (n = 3,879) had signs of PIVC malfunction; and 21% of PIVC dressings were suboptimal (n = 8,507). Over one-third of PIVCs (n = 14,787, 36%) had no documented daily site assessment and half (n = 19,768, 49%) had no documented date and time of insertion. CONCLUSIONS: In this study, we found that many PIVCs were placed in areas of "exion, were symptomatic or idle, had suboptimal dressings, or lacked adequate documentation. This suggests inconsistency between recommended management guidelines for PIVCs and current practice

The effect of cosmic web filaments on galaxy properties in the RESOLVE and ECO surveys

Galaxy environment plays an important role in driving the transformation of galaxies from blue and star-forming to red and quenched. Recent works have focused on the role of cosmic web filaments in galaxy evolution and have suggested that stellar mass segregation, quenching of star formation and gas-stripping may occur within filaments. We study the relationship between distance to filament and the stellar mass, colour and HI gas content of galaxies using data from the REsolved Spectroscopy of a Local VolumE (RESOLVE) survey and Environmental COntext (ECO) catalogue, two overlapping census-style, volume-complete surveys. We use the Discrete Persistence Structures Extractor (DisPerSE) to identify cosmic web filaments over the full ECO area. We find that galaxies close to filaments have higher stellar masses, in agreement with previous results. Controlling for stellar mass, we find that galaxies also have redder colours and are more gas poor closer to filaments. When accounting for group membership and halo mass, we find that these trends in colour and gas content are dominated by the increasing prevalence of galaxy group environments close to filaments, particularly for high halo mass and low stellar mass galaxies. Filaments have an additional small effect on the gas content of galaxies in low-mass haloes, possibly due to cosmic web stripping