422 research outputs found

    Misunderstanding corruption and community: comparative cultural politics of corruption regulation in the Pacific

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    This paper will take as its empirical foundation the author’s experience of corruption and regulation in small Pacific island states. The argument is that notions of corruption and strategies for its regulation suitable for modernized societies, which lack cultural specificity and community engagement, may in fact stimulate corruption relationships in transitional cultures. The other consequence of the imposition of inappropriate definitions and regulation strategies is a profound misunderstanding of communities of dependence. In fact, corruption control can misconstrue and exacerbate economic and political dependence environments, fostering the conditions for corruption which accompany socio-economic development. Two remedies are suggested. First, corruption requires an appreciation which is ‘community-centered’, while at the same time not being neutralized by disconnected cultural relativity. Second, an enterprise theory of corruption in modernized societies and international political/commercial entities may assist in the relevant translation of global anti-corruption policies in a way which advances good governance in traditional communities. This is so when corruption is conceived as dependant on phases of modernization, and the tensions which arise when the interests of societies at different phases intersect. Corporate citizenship and compliance with anti-corrupt business practices by major corporations with a commercial interest in these transitional economies may be more beneficial than deference to uniform international codes of governance

    Faculty perceptions of facilitating self-regulation in online coursework at a public university: A case study

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    Online course enrollments continue to increase, and even more online courses are now offered as a result of the pandemic (O'Keefe et al., 2020). Although some students succeed in online courses (Battalio, 2009; Murray et al., 2012), most either earn low grades or do not complete the courses (Angelino et al., 2007; Wilson & Allen, 2011). Some courses are more successful than others in facilitating the learning process for online students (O'Keefe et al., 2020; Johnson, N. et al., 2020). Self-regulation has proven to be a key feature for online learning (Carvalho, Sana, & Yan, 2020). One way to explain this issue is through the theory of self-regulation. Tabak and Nguyen (2013) developed a conceptual model of self-regulation in online learning environments that contains components from three theories: Self-Regulation Model from Bandura's Social Cognitive Theory (1991), Technology Acceptance Model (Davis, 1989), and the Five Factor Model of Personality (Barrick & Mount, 2005). Tabak and Nguyen's (2013) model explains self-regulation in an online learning environment as a continuous looping system and accounts for the roles and interaction of intrinsic factors and extrinsic factors, perceived ease of use and perceived usage as antecedent effects on the forethought, performance, and self-reflection phases of self-regulated learning. This qualitative case study uses constructionism to explore the significance of the modifications effective instructors made to course design and to the student learning factors and processes in their online courses that facilitated self-regulated learning. This case occurred during the crisis of the COVID-19 pandemic. Findings in this study indicate instructors used course design modifications exemplifying support for and facilitation of learning processes so students were able to progress through the overall learning process smoothly. The results of this study could provide key insights for online educators to better support student self-regulation in online courses and may also provide educators with possible improvements in course construction, academic support, and time saving measures connected to online students and online courses

    Obesity, but not hypohydration, mediates changes in mental task load during passive heating in females

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    Background The independent effects of hypohydration and hyperthermia on cognition and mood is unclear since the two stresses often confound each other. Further, it is unknown if obese individuals have the same impairments during hyperthermia and hypohydration that is often observed in non-obese individuals. Methods The current study was designed to assess the independent and combined effects of mild hypohydration and hyperthermia on cognition, mood, and mental task load in obese and non-obese females. Twenty-one healthy females participated in two passive heating trials, wherein they were either euhydrated or hypohydrated prior to and throughout passive heating. Cognition (ImPACT), mental task load (NASA-TLX), and mood (Brunel Mood Scale; BRUMS) were measured before and after a 1.0 °C increase in core temperature (TC). Results After a 1.0 °C TC elevation, hypohydration resulted in greater (p  0.05). Hyperthermia, regardless of hydration status, impaired (∼5 A.U) measures of memory-based cognition (verbal and visual memory), and increased mental task load, while worsening mood (p  0.05). Conclusion These data indicate that hyperthermia independently impairs memory-based aspects of cognitive performance, mental task load, and leads to a negative mood state. Mild hypohydration did not exacerbate the effects of hyperthermia. However, obese individuals had increased mental task load during hyperthermia

    A prognostic model of all-cause mortality at 30 days in patients with cancer and COVID-19

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    Background: Patients with cancer are at higher risk of dying of COVID-19. Known risk factors for 30-day all-cause mortality (ACM-30) in patients with cancer are older age, sex, smoking status, performance status, obesity, and co-morbidities. We hypothesized that common clinical and laboratory parameters would be predictive of a higher risk of 30-day ACM, and that a machine learning approach (random forest) could produce high accuracy. Methods: In this multi-institutional COVID-19 and Cancer Consortium (CCC19) registry study, 12,661 patients enrolled between March 17, 2020 and December 31, 2021 were utilized to develop and validate a model of ACM-30. ACM-30 was defined as death from any cause within 30 days of COVID-19 diagnosis. Pre-specified variables were: age, sex, race, smoking status, ECOG performance status (PS), timing of cancer treatment relative to COVID19 diagnosis, severity of COVID19, type of cancer, and other laboratory measurements. Missing variables were imputed using random forest proximity. Random forest was utilized to model ACM-30. The area under the curve (AUC) was computed as a measure of predictive accuracy with out-of-bag prediction. One hundred bootstrapped samples were used to obtain the standard error of the AUC. Results: The median age at COVID-19 diagnosis was 65 years, 53% were female, 18% were Hispanic, and 16.7% were Black. Over half were never smokers and the median body mass index was 28.2. Random forest with under sampling selected 20 factors prognostic of ACM-30. The AUC was 88.9 (95% CI 88.5-89.2). Highly informative parameters included: COVID-19 severity at presentation, cancer status, age, troponin level, ECOG PS and body mass index. Conclusions: This prognostic model based on readily available clinical and laboratory values can be used to estimate individual survival probability within 30-days for COVID-19. In addition, this model can be used to select or classify patients with cancer and COVID-19 into risk groups based on validated cut points, for treatment selection, prophylaxis prioritization, and/or enrollment in clinical trials. Future work includes external validation using other large datasets of patients with COVID-19 and cancer

    Role of paracrine factors in stem and progenitor cell mediated cardiac repair and tissue fibrosis

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    A new era has begun in the treatment of ischemic disease and heart failure. With the discovery that stem cells from diverse organs and tissues, including bone marrow, adipose tissue, umbilical cord blood, and vessel wall, have the potential to improve cardiac function beyond that of conventional pharmacological therapy comes a new field of research aiming at understanding the precise mechanisms of stem cell-mediated cardiac repair. Not only will it be important to determine the most efficacious cell population for cardiac repair, but also whether overlapping, common mechanisms exist. Increasing evidence suggests that one mechanism of action by which cells provide tissue protection and repair may involve paracrine factors, including cytokines and growth factors, released from transplanted stem cells into the surrounding tissue. These paracrine factors have the potential to directly modify the healing process in the heart, including neovascularization, cardiac myocyte apoptosis, inflammation, fibrosis, contractility, bioenergetics, and endogenous repair

    Mesenchymal Stem Cells Secrete Multiple Cytokines That Promote Angiogenesis and Have Contrasting Effects on Chemotaxis and Apoptosis

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    We have previously shown that mesenchymal stem cells (MSC) improve function upon integration in ischemic myocardium. We examined whether specific cytokines and growth factors produced by MSCs are able to affect angiogenesis, cellular migration and apoptosis. Conditioned media (CM) was prepared by culturing MSC for 48 hours. CM displayed significantly elevated levels of VEGF, Monocyte Chemoattractant Protein-1 (MCP-1), macrophage inflammatory protein-1α (MIP-1α), MIP-1β and monokine induced by IFN-γ (MIG) compared to control media. MSC contained RNA for these factors as detected by RT-PCR. CM was able to induce angiogenesis in canine vascular endothelial cells. MCP-1 and MIP-1α increased cell migration of MSC while VEGF reduced it. H9c2 cells treated with CM under hypoxic conditions for 24 hours displayed a 16% reduction in caspase-3 activity compared to controls. PI 3-kinase γ inhibitor had no effect on controls but reversed the effect of CM on caspase-3 activity. MCP-1 alone mimicked the protective effect of CM while the PI 3-Kγ inhibitor did not reverse the effect of MCP-1. CM reduced phospho-BAD (Ser112) and phospho-Akt (Ser473) while increasing phospho-Akt (Thr308). MCP-1 reduced the level of phospho-Akt (Ser473) while having no effect on the other two; the PI 3-Kγ inhibitor did not alter the MCP-1 effect. ERK 1/2 phosphorylation was reduced in CM treated H9c2 cells, and inhibition of ERK 1/2 reduced the phosphorylation of Akt (Ser473), Akt (Thr308) and Bad (Ser112). In conclusion, MSC synthesize and secrete multiple paracrine factors that are able to affect MSC migration, promote angiogenesis and reduce apoptosis. While both MCP-1 and PI3-kinase are involved in the protective effect, they are independent of each other. It is likely that multiple pro-survival factors in addition to MCP-1 are secreted by MSC which act on divergent intracellular signaling pathways

    Liquid Marble Actuator for Microfluidic Logic Systems

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    © 2018, The Author(s). A mechanical flip-flop actuator has been developed that allows for the facile re-routing and distribution of liquid marbles (LMs) in digital microfluidic devices. Shaped loosely like a triangle, the actuating switch pivots from one bistable position to another, being actuated by the very low mass and momentum of a LM rolling under gravity (~4 × 10 −6 kg ms −1 ). The actuator was laser-cut from cast acrylic, held on a PTFE coated pivot, and used a PTFE washer. Due to the rocking motion of the switch, sequential LMs are distributed along different channels, allowing for sequential LMs to traverse parallel paths. This distributing effect can be easily cascaded, for example to evenly divide sequential LMs down four different paths. This lightweight, cheap and versatile actuator has been demonstrated in the design and construction of a LM-operated mechanical multiplication device — establishing its effectiveness. The actuator can be operated solely by gravity, giving it potential use in point-of-care devices in low resource areas
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