An observational study to assess validity and reliability of smartphone sensor-based gait and balance assessments in multiple sclerosis: Floodlight GaitLab protocol.

Background: Gait and balance impairments are often present in people with multiple sclerosis (PwMS) and have a significant impact on quality of life and independence. Gold-standard quantitative tools for assessing gait and balance such as motion capture systems and force plates usually require complex technical setups. Wearable sensors, including those integrated into smartphones, offer a more frequent, convenient, and minimally burdensome assessment of functional disability in a home environment.

Development of a Machine Learning Model for the Estimation of Hip and Lumbar Angles in Ballet Dancers.

Objective: Accurate field-based assessment of dance kinematics is important to understand the etiology, and thus prevention and management, of hip and back pain. The study objective was to develop a machine learning model to estimate thigh elevation and lumbar sagittal plane angles during ballet leg lifting tasks, using wearable sensor data.

Methods: Female dancers (n=30) performed ballet-specific leg lifting tasks to the front, side, and behind the body.

Mapping open knowledge institutions: an exploratory analysis of Australian universities.

While the movement for open research has gained momentum in recent years, there remain concerns about the broader commitment to openness in knowledge production and dissemination. Increasingly, universities are under pressure to transform themselves to engage with the wider community and to be more inclusive. (OKIs) provide a framework that encourages universities to act with the principles of openness at their centre; not only should universities embrace digital open access (OA), but also lead actions in cultivating diversity, equity, transparency and positive changes in society.

Evaluating the impact of open access policies on research institutions.

The proportion of research outputs published in open access journals or made available on other freely-accessible platforms has increased over the past two decades, driven largely by funder mandates, institutional policies, grass-roots advocacy, and changing attitudes in the research community. However, the relative effectiveness of these different interventions has remained largely unexplored. Here we present a robust, transparent and updateable method for analysing how these interventions affect the open access performance of individual institutes.

The galanin antagonist M35 has intrinsic agonistic activity in the dorsal root ganglion.

The chimeric peptide M35 (galanin(1-3)-bradykinin(2-9)amide) is a high-affinity galanin receptor ligand which acts as a galanin receptor antagonist in many experimental models such as the flexor reflex and chronic constriction injury in rat. However, more recently there have been conflicting reports that M35 may act as a galanin receptor agonist in certain systems. Here we demonstrate that in the absence of endogenous galanin M35 has an agonistic effect, significantly enhancing neurite outgrowth from cultured adult mouse dorsal root ganglion neurons, albeit at a lower potency than galanin peptide itself.

The second galanin receptor GalR2 plays a key role in neurite outgrowth from adult sensory neurons.

Expression of the neuropeptide galanin is markedly upregulated within the adult dorsal root ganglion (DRG) after peripheral nerve injury. We demonstrated previously that the rate of peripheral nerve regeneration is reduced in galanin knock-out mice, with similar deficits observed in neurite outgrowth from cultured mutant DRG neurons. Here, we show that the addition of galanin peptide significantly enhanced neurite outgrowth from wild-type sensory neurons and fully rescued the observed deficits in mutant cultures.