Publications by authors named "N Conway"

Background: A lack of awareness of who should conduct research, conflicting workload priorities, lack of research skills, lack of confidence and lack of supportive relationships are often cited as barriers for undertaking research within the perioperative environment. Building a robust research capacity for Operating Department Practitioners and Theatre Nurses to engage with and lead primary research is critical to develop perioperative clinical outcomes, and for professional and research excellence.

Aims: This study aimed to explore the attitudes of Operating Department Practitioners and Theatre Nurses towards research.

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  • Parkinson's disease increases the risk of falls, which can lead to injuries and a decline in quality of life; therefore, accurate assessment of fall risk is essential for effective care planning.* -
  • Traditional fall risk assessments are subjective and time-consuming, while this study explored a short, sensor-based approach that can predict falls up to 5 years later using data from 104 individuals with PD.* -
  • The Random Forest machine learning classifier showed the best performance, achieving 78% accuracy at 60 months, with important predictors being walking and postural variability; incorporating age data further improved the prediction accuracy.*
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  • Brenner tumors are types of ovarian epithelial tumors that can present as benign, borderline, or malignant, and the case discussed highlights one associated with postmenopausal bleeding and elevated estradiol levels.
  • A 59-year-old woman, who had been menopausal for seven years, experienced postmenopausal bleeding and underwent various evaluations, including ultrasound and biopsies, leading to findings of a mass in the right adnexa.
  • Ultimately, the patient had a laparoscopic hysterectomy which revealed the mass to be a Brenner tumor; the case emphasizes the importance of evaluating persistent postmenopausal bleeding to rule out serious conditions like endometrial cancer.
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Success of the UK's Spherical Tokamak for Energy Production (STEP) programme requires a robust plasma control system. This system has to guide the plasma from initiation to the burning phase, maintain it there, produce the desired fusion power for the desired duration and then terminate the plasma safely. This has to be done in a challenging environment with limited sensors and without overloading plasma-facing components.

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RNA oligonucleotides have emerged as a powerful therapeutic modality to treat disease, yet current manufacturing methods may not be able to deliver on anticipated future demand. Here, we report the development and optimization of an aqueous-based, template-independent enzymatic RNA oligonucleotide synthesis platform as an alternative to traditional chemical methods. The enzymatic synthesis of RNA oligonucleotides is made possible by controlled incorporation of reversible terminator nucleotides with a common 3'-O-allyl ether blocking group using new CID1 poly(U) polymerase mutant variants.

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