Challenges of multi-professional working within one English Higher Education Institution: ‘We hit a giant’: is this a shared experience?

This paper discusses the process and outcome of an innovative qualitative research approach evidencing the lived experiences of a group of academics who were confronting what they felt at the time to be the indisputable extinction of their network. In an effort to provide a constructive response to the academics’ despondency and lack of agency, one colleague, Tom, suggested using a creative approach to enable individual voices to be heard, acknowledged and appropriately shared. Utilising this consideration, the findings from a collection of personal narrative reflections were thematically analysed, snipped and re-situated in order to create a poem telling and highlighting the elements academics considered were the key drivers for their frustrations and disillusionment

Telehealth vs Face to Face Pediatric Screenings: A Pilot Study

The global pandemic heightened the importance of occupational therapy (OT) education programs to prepare students for telehealth practice. The objective was to examine the following research questions: 1. Does self-assessment of pediatric competency skills improve following participation in pediatric screenings? 2. Is there a difference in self-assessment of pediatric competency skills between those students who perform pediatric screenings via telehealth versus face-to-face? 3. What is the lived experience for students who perform telehealth and face-to-face pediatric screenings? A mixed method- quasi-experimental design and phenomenological tradition were employed. The study utilized online surveys, focus groups, telehealth screenings with an urban preschool, and face-to-face screenings at a Christian suburban preschool in the Midwest. Participants included forty-nine first year, Master of OT students at a private university. Students performed screenings using the ASQ-3 via telehealth or face-to-face formats. Outcomes measures included: Self-Assessment of Competency- Pediatric Screening (SAC-PS) survey, Pediatric Screening Experience Survey, and Focus Group Semi-Structured Interview Questions. No statistically significant differences were found on SAC-PS scores between formats, F (11, 49) = .661, p = .76, Ꞃ2 = .17. Post-screening scores were statistically significantly higher (M =48.95, SD = 4.02) than pre-screening (M =43.58, SD =4.69) for all students, F (11,49) = 36, p2= .58. Improvements from pre-to post-pediatric screenings were found for ten of eleven questions at the

Mineral rich algae with pine bark improved pain, physical function and analgesic use in mild-knee joint osteoarthritis, compared to Glucosamine: a randomized controlled pilot trial

IntroductionOsteoarthritis (OA) is characterised by synovial joint pain, functional disability and affects ∼13% of people worldwide, of which ∼16-27% report Knee-OA (KOA). Glucosamine (Glu) is the most widely used nutraceutical treatment for OA despite a lack of scientific consensus, therefore alternative nutraceutical treatments are required. The aim of this study was to investigate the effect of Lithothamnion species, seawater-derived magnesium and pine bark (Aq+) on pain, symptoms and improve physical function in symptomatic (sKOA), compared to Glu.Methods358 participants were screened. In a double-blinded crossover pilot-trial, sKOA participant (n = 30) were randomly assigned to either the Glu group (2000 mg day-1) or Aq+ (3056 mg day-1) for 12 weeks (clinicaltrials.gov:NCT03106584). The Knee Injury and Osteoarthritis Outcome Score was used to assess subjective pain and symptoms. Timed-up-and-Go (TuG) and Six minute walking distance were used to assess functional change and analgesic use was recorded.ResultsAq+ improved pain, with a large effect (P < 0.01, d’ = 0.73, 95%CI 0.201-1.265) and no change for Glu (d’ = 0.38, P = 0.06). Only Aq+ improved pain (P < 0.05) for males (d’ = 0.91, 95%CI 0.162-1.667) and females (d’ = 0.55, 95%CI 0.210-1.299). In females, Aq+ improved TuG by -7.02% (d’ = 0.92, 95%CI 1.699-0.141) while Glu worsened performance by 4.18% (P = 0.04). Aq+ reduced analgesia by 71.6%, compared to Glu (P = 0.02; d’ = 0.82, 95%CI 1.524-0.123). Aq+ was superior to Glu at improving pain, KOOS subscales, physical function and analgesia use in mild-sKOA. Given these data, Aq+ should be considered as a supplementary treatment for early-stage-KOA and may have the potential to reduce use of pain medication, although larger replication studies are required

THE DISTRIBUTION OF TETRACYCLINES IN TISSUES OF DOGS AFTER REPEATED ORAL ADMINISTRATION

ABSTRACT SCHACH VON WITTENATJ

PySINDy: A comprehensive Python package for robust sparse system identification

Automated data-driven modeling, the process of directly discovering the governing equations of a system from data, is increasingly being used across the scientific community. PySINDy is a Python package that provides tools for applying the sparse identification of nonlinear dynamics (SINDy) approach to data-driven model discovery. In this major update to PySINDy, we implement several advanced features that enable the discovery of more general differential equations from noisy and limited data. The library of candidate terms is extended for the identification of actuated systems, partial differential equations (PDEs), and implicit differential equations. Robust formulations, including the integral form of SINDy and ensembling techniques, are also implemented to improve performance for real-world data. Finally, we provide a range of new optimization algorithms, including several sparse regression techniques and algorithms to enforce and promote inequality constraints and stability. Together, these updates enable entirely new SINDy model discovery capabilities that have not been reported in the literature, such as constrained PDE identification and ensembling with different sparse regression optimizers

Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information

Malaria is a life-threatening disease affecting millions. Microscopy-based assessment of thin blood films is a standard method to (i) determine malaria species and (ii) quantitate high-parasitemia infections. Full automation of malaria microscopy by machine learning (ML) is a challenging task because field-prepared slides vary widely in quality and presentation, and artifacts often heavily outnumber relatively rare parasites. In this work, we describe a complete, fully-automated framework for thin film malaria analysis that applies ML methods, including convolutional neural nets (CNNs), trained on a large and diverse dataset of field-prepared thin blood films. Quantitation and species identification results are close to sufficiently accurate for the concrete needs of drug resistance monitoring and clinical use-cases on field-prepared samples. We focus our methods and our performance metrics on the field use-case requirements. We discuss key issues and important metrics for the application of ML methods to malaria microscopy.Comment: 16 pages, 13 figure

Tumoral CD105 is a novel independent prognostic marker for prognosis in clear-cell renal cell carcinoma

International audienceBackground: Angiogenesis is essential for tumour growth and metastasis. There are conflicting reports as to whether microvessel density (MVD) using the endothelial marker CD105 (cluster of differentiation molecule 105) in clear-cell renal cell carcinomas (ccRCC) is associated with prognosis. Recently, CD105 has been described as a RCC cancer stem cell marker.Methods: A total of 102 ccRCC were analysed. Representative tumour sections were stained for CD105. Vascularity (endothelial CD105) was quantified by MVD. The immunohistochemistry analysis detected positive (if present) or negative (if absent) CD105 tumoral staining. This retrospective population-based study was evaluated using Kaplan–Meier method, t-test and Cox proportional hazard model.Results: We found that the expression of endothelial CD105 (MVD) negatively correlated with nuclear grade (P<0.001), tumour stage (P<0.001) and Leibovitch score (P<0.001), whereas the expression of tumoral CD105 positively correlated with these three clinicopathological factors (P<0.001). In multivariate analysis, tumoral CD105 was found to be an independent predictor of poor overall survival (P=0.002).Conclusions: We have shown for the first time that tumoral CD105 is an independent predictive marker for death risk and unfavourable prognosis in patients with ccRCC after curative resection