671 research outputs found

    To teach is to learn twice: The power of a blended peer mentoring approach

    Get PDF
    Two students at a Canadian university perceived there was a lack of opportunities for peer mentoring support in their teacher education program. They approached a faculty member to co-create and research a blended peer mentoring support program embedded in a first-year education course. This study documents the journey of these two students as co-inquirers in a Scholarship of Teaching and Learning (SoTL) project. Through online surveys and interviews, first-year teacher candidates and faculty involved in the blended peer mentoring program identified four key benefits: new perspectives and expansion of ideas, positive and encouraging reinforcement, supportive connection with second-year students, and probing questions to think more deeply. Conversely, three major challenges were uncovered with the use of digital technologies to support this blended approach to peer mentoring: lack of email notification from the institution’s learning management system (LMS) with regards to the peer mentors’ online contributions, the impersonal nature of online peer mentoring, and the limited number of peer mentors. The major recommendation from this study was to create a blended program assignment to provide all second-year teacher candidates with the opportunity to learn how to serve as peer mentors to students just entering the teacher education program

    Proactive Opinion-Driven Robot Navigation around Human Movers

    Full text link
    We propose, analyze, and experimentally verify a new proactive approach for robot social navigation driven by the robot's "opinion" for which way and by how much to pass human movers crossing its path. The robot forms an opinion over time according to nonlinear dynamics that depend on the robot's observations of human movers and its level of attention to these social cues. For these dynamics, it is guaranteed that when the robot's attention is greater than a critical value, deadlock in decision making is broken, and the robot rapidly forms a strong opinion, passing each human mover even if the robot has no bias nor evidence for which way to pass. We enable proactive rapid and reliable social navigation by having the robot grow its attention across the critical value when a human mover approaches. With human-robot experiments we demonstrate the flexibility of our approach and validate our analytical results on deadlock-breaking. We also show that a single design parameter can tune the trade-off between efficiency and reliability in human-robot passing. The new approach has the additional advantage that it does not rely on a predictive model of human behavior.Comment: 8 pages, 7 figure

    Analysis and control of agreement and disagreement opinion cascades

    Full text link
    We introduce and analyze a continuous time and state-space model of opinion cascades on networks of large numbers of agents that form opinions about two or more options. By leveraging our recent results on the emergence of agreement and disagreement states, we introduce novel tools to analyze and control agreement and disagreement opinion cascades. New notions of agreement and disagreement centrality, which depend only on network structure, are shown to be key to characterizing the nonlinear behavior of agreement and disagreement opinion formation and cascades. Our results are relevant for the analysis and control of opinion cascades in real-world networks, including biological, social and artificial networks, and for the design of opinion-forming behaviors in robotic swarms. We illustrate an application of our model to a multi-robot task-allocation problem and discuss extensions and future directions opened by our modeling framework

    Perceptions of Low Income by Canadian Student Occupational Therapists

    Get PDF
    Low income negatively impacts health, access to health services, and overall quality of life. Living with low income is complex, strongly correlated with disability, age, gender, race, and mental illness, and can present barriers to participation in employment, self-care, and leisure occupations. Occupational therapists are well-positioned to reduce these socioeconomic, environmental, and personal barriers. Research on student occupational therapists’ learning and perceptions in working with individuals living with low income is unexplored. This study aimed to understand student occupational therapists’ perceptions and experiences related to low income and their knowledge of their professional roles in working with low income populations. Fourteen Canadian occupational therapy programs were asked to invite final year students to complete an online survey. Resulting data was analyzed for student perceptions of their professional roles, personal experiences, and learning experiences related to working with low income populations. Eighty-eight respondents completed the survey. Ninety-one percent (n=81) agreed with the occupational therapy role as a change agent with marginalized and low income populations. Fifty-seven percent of respondents (n=53) disagreed that they learned enough about low income in their programs. Students reported gaps in their learning about working with low income populations, with six percent (n=5) having learned to screen for low income. Respondent comments resulted in 21 unique codes that built three themes; ‘academic experiences’, ‘perception of role’, and ‘individual experiences’. Occupational therapy programs need to address gaps in student learning to prepare student occupational therapists to advocate for individuals living with low income and address socioeconomic inequities of occupational engagement

    Estrogen deficiency and low-calcium diet increased bone loss and urinary calcium excretion but did not alter arterial stiffness in young female rats

    Get PDF
    Many epidemiological studies have reported that the severity of arterial diseases such as arterial calcification and stiffness is inversely related to bone loss, i.e., osteoporosis. However, the nature of this relationship is unclear. The purpose of the present study was to examine the influences of estrogen deficiency and/or low-calcium diet (0.1% Ca) on bone metabolism and calcium balance, as well as aortic wall composition and stiffness in young female rats. Twenty-eight 6-week-old female rats were randomized into four groups: OVX-Low calcium (OL) and OVX-Normal calcium groups (ON) were ovariectomized, and Sham-Low calcium (SL) and Sham-Normal calcium groups (SN) were sham-operated. After 12 weeks, the bone mineral density of the lumbar spine and tibial proximal metaphysis were significantly lower in ON than in SN, and also significantly lower in OL than in ON. Additionally, OL rats had significant higher (vs. SN and SL) urinary deoxypyridinoline, but not urinary calcium, excretion at 4 weeks after ovariectomy. However, at 12 weeks after ovariectomy, urinary calcium excretion was significantly higher in OL than in SL, with corresponding increases in two bone turnover markers, bone-type alkaline phosphatase and tartrate-resistant acid phosphatase. Neither estrogen deficiency nor low-calcium diet affected aortic stiffness or elastin degeneration and calcium deposition over the course of the present study, although changes of bone metabolism occurred rapidly. Taken together, these results show that bone loss and arterial stiffness did not progress simultaneously in the present experimental protocol

    Hydrolyzed collagen intake increases bone mass of growing rats trained with running exercise

    Get PDF
    BackgroundSome studies have shown that dietary hydrolyzed collagen peptides (HC) effectively prevent age-related bone loss. However, it is not known whether the intake of HC also has positive effect on bone mass or strength when combined with exercise during growth phase.MethodsWe examined the effects of 11 weeks of HC intake and running exercise on bone mass and strength in growing rats. Rats were randomized into four groups, the 20% casein group (Casein20), the 40% casein group (Casein40), the 20% HC group (HC20), and the 40% HC group (HC40). Each group was further divided into exercise groups (Casein20 + Ex, Casein40 + Ex, HC20 + Ex, HC40 + Ex) and non-exercise group (Casein20, Casein40, HC20, HC40). In the HC intake groups, 30% of casein protein was replaced with HC. Exercise group rats were trained 6 days per week on a treadmill (25–30 m/min, 60 min) for 60 days. After being sacrificed, their bone mineral content (BMC) and bone strength were evaluated.ResultsExercise and dietary HC effects were observed in the adjusted BMC of lumbar spine and tibia among the 20% protein groups (p < 0.001 for exercise; p < 0.05 for dietary HC, respectively). These effects were also noted in the adjusted wet weight and dry weight of femur among the 20% protein groups (p < 0.001, p < 0.01 for exercise; p < 0.01, p < 0.001 for dietary HC, respectively). On the other hand, in adjusted bone breaking force and energy, dietary HC effect was not significant. Among the 40% protein groups, similar results were obtained in the adjusted BMC, femoral weight, bone breaking force, and energy. There were no differences between the 20% protein groups and the 40% protein groups.ConclusionsThe present study demonstrated that moderate HC intake (where the diet contains 20% protein, of which 30% is HC) increased bone mass during growth period and further promoted the effect of running exercise. On the other hand, a higher HC intake (where the diet contains 40% protein, of which 30% is HC) had no more beneficial effect on bone mass than the moderate HC intake

    Inhibitory effects of megakaryocytic cells in prostate cancer skeletal metastasis

    Get PDF
    Prostate cancer cells commonly spread through the circulation, but few successfully generate metastatic foci in bone. Osteoclastic cellular activity has been proposed as an initiating event for skeletal metastasis. Megakaryocytes (MKs) inhibit osteoclastogenesis, which could have an impact on tumor establishment in bone. Given the location of mature MKs at vascular sinusoids, they may be the first cells to physically encounter cancer cells as they enter the bone marrow. Identification of the interaction between MKs and prostate cancer cells was the focus of this study. K562 (human MK precursors) and primary MKs derived from mouse bone marrow hematopoietic precursor cells potently suppressed prostate carcinoma PC-3 cells in coculture. The inhibitory effects were specific to prostate carcinoma cells and were enhanced by direct cell-cell contact. Flow cytometry for propidium iodide (PI) and annexin V supported a proapoptotic role for K562 cells in limiting PC-3 cells. Gene expression analysis revealed reduced mRNA levels for cyclin D1, whereas mRNA levels of apoptosis-associated specklike protein containing a CARD (ASC) and death-associated protein kinase 1 (DAPK1) were increased in PC-3 cells after coculture with K562 cells. Recombinant thrombopoietin (TPO) was used to expand MKs in the marrow and resulted in decreased skeletal lesion development after intracardiac tumor inoculation. These novel findings suggest a potent inhibitory role of MKs in prostate carcinoma cell growth in vitro and in vivo. This new finding, of an interaction of metastatic tumors and hematopoietic cells during tumor colonization in bone, ultimately will lead to improved therapeutic interventions for prostate cancer patients. © 2011 American Society for Bone and Mineral Research.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/78486/1/204_ftp.pd

    The economic case for investing in the prevention of mental health conditions in the UK

    Get PDF
    This report provides an overview of the economic case for the prevention of mental health conditions. To do this, we first estimated the societal costs of living with mental health conditions in the UK in 2019 and then reviewed what is known about the cost-effectiveness of wellevidenced actions to prevent these mental health conditions. To estimate costs, we used a prevalencebased costing approach. This measures the number of people living with mental health conditions over a specific short time period (usually one year) and estimates the average costs associated with these conditions over this time period. Our prevalencebased costing model makes use of data on prevalence from the 2019 Institute of Health Metrics and Evaluation Global Burden of Disease (GBD) study. The GBD study quantifies the impact of all health conditions, both infectious and non-communicable, including mental health conditions, as well as the impacts on injury, including intentional self-harm. As part of the study, the GBD systematically searches for and assesses mental health surveys around the globe. To allow for comparability in measurement, case definitions used by GBD predominantly adhered to international diagnostic criteria guidance, either the DSM-IV-TR, mainly used in the United States or the ICD-10 criteria used mainly elsewhere, as these are used by the majority of mental health surveys included in the GBD. The GBD study estimates are periodically updated, apply a common methodology, are subject to peer review, and are routinely used by the World Health Organization (WHO) when looking at the global impact of mental health conditions. Furthermore, GBD estimates are provided separately for all four nations of the UK, as well as at English Region level. These estimates are conservative, as the GBD does not include the impact of sub-diagnostic threshold mental health conditions, as well as risk factors such as undue stress which do not fit into diagnostic criteria, all of which will also have economic costs. We included 11 of 12 broad categories of mental disorder meeting diagnosable thresholds used in the GBD1. These were depressive disorders (major depressive disorder and dysthymia), anxiety disorders, bipolar affective disorder, schizophrenia, autism spectrum disorders, conduct disorder, attention-deficit hyperactivity disorder (ADHD), eating disorders (anorexia nervosa and bulimia nervosa), and a final category of other mental disorders (which mainly covers personality disorders). A detailed list of conditions is listed in Table A-2 in the appendix. We excluded the idiopathic intellectual disabilities category in the GBD. Neurological conditions such as dementia, as well as alcohol and substance use disorders, are not included. Although not all intentional self-harm is linked with a mental health condition, we also separately provide an estimate of the health and intangible costs associated with intentional self-harm, including suicide, reported in the GBD. All costs are calculated and reported in 2020 pounds sterling
    • …
    corecore