Stiffness of Contacts Between Rough Surfaces

The effect of self-affine roughness on solid contact is examined with molecular dynamics and continuum calculations. The contact area and normal and lateral stiffnesses rise linearly with the applied load, and the load rises exponentially with decreasing separation between surfaces. Results for a wide range of roughnesses, system sizes and Poisson ratios can be collapsed using Persson's contact theory for continuous elastic media. The atomic scale response at the interface between solids has little affect on the area or normal stiffness, but can greatly reduce the lateral stiffness. The scaling of this effect with system size and roughness is discussed.Comment: 4 pages, 3 figure

INFLUENCE OF PLAYING LEVEL ON THE KINEMATICS AND KINETICS OF THE RUGBY SCRUM

The aim of this study was to examine the force production, lower body kinematics and kinetics of front row rugby union forwards during the engagement phase of a simulated rugby union scrum. Twenty-eight male front row players were divided into three groups; professional, senior and junior amateur players. Players performed five trials based on the International Rugby Board scrum engagement sequence. Three dimensional motion analysis and force plate data were used to determine joint angles and reaction forces both on the scrum machine and on the ground. Professional front row forwards generated significantly greater force during the engagement phase compared to both senior and junior amateur players. Professional players had a significantly greater knee abduction angle and generated larger peak hip joint power compared to both junior and senior players

Statistical properties of 3D cell geometry from 2D slices

Although cell shape can reflect the mechanical and biochemical properties of the cell and its environment, quantification of 3D cell shapes within 3D tissues remains difficult, typically requiring digital reconstruction from a stack of 2D images. We investigate a simple alternative technique to extract information about the 3D shapes of cells in a tissue; this technique connects the ensemble of 3D shapes in the tissue with the distribution of 2D shapes observed in independent 2D slices. Using cell vertex model geometries, we find that the distribution of 2D shapes allows clear determination of the mean value of a 3D shape index. We analyze the errors that may arise in practice in the estimation of the mean 3D shape index from 2D imagery and find that typically only a few dozen cells in 2D imagery are required to reduce uncertainty below 2\%. This framework could be naturally extended to estimate additional 3D geometric features and quantify their uncertainty in other materials

A HIF-LIMD1 negative feedback mechanism mitigates the pro-tumorigenic effects of hypoxia

The adaptive cellular response to low oxygen tensions is mediated by the hypoxia inducible factors (HIFs), a family of heterodimeric transcription factors composed of HIF-α and β subunits. Prolonged HIF expression is a key contributor to cellular transformation, tumourigenesis and metastasis. As such, HIF degradation under hypoxic conditions is an essential homeostatic and tumour suppressive mechanism. LIMD1 complexes with PHD2 and VHL in physiological oxygen levels (normoxia) to facilitate proteasomal degradation of the HIF-α subunit. Here, we identify LIMD1 as a HIF-1 target gene, which mediates a previously uncharacterised, negative regulatory feedback mechanism for hypoxic HIF-α degradation by modulating PHD2-LIMD1- VHL complex formation. Hypoxic induction of LIMD1 expression results in increased HIF-α protein degradation, inhibiting HIF-1 target-gene expression, tumour growth and vascularisation. Furthermore, we report that copy number variation at the LIMD1 locus occurs in 47.1% of lung adenocarcinoma patients, correlates with enhanced expression of a HIF target gene signature and is a negative prognostic indicator. Taken together, our data open a new field of research into the aetiology, diagnosis and prognosis of LIMD1-negative lung cancers

The identification of risk factors for ankle sprains sustained during netball participation

Objectives: Ankle sprains account for a large percentage of injuries sustained in netball. The identification of risk factors for ankle sprain is the preliminary action required to inform future prevention strategies. Design: Prospective study. Participants: Ninety-four netball players from club and inter-district teams. Methods: Preseason data were collected for; vertical jump height, perceived ankle instability, sprain history, arthrometry inversion-eversion angles, star excursion balance test reach distances, the number of foot lifts during unilateral stance and demi-pointe balance test results. Participants were followed for the duration of one netball season and ankle sprains were recorded. Results: Eleven sprains were recorded for eleven players using a time-loss definition of injury. Ankle sprains occurred at an incidence rate of 1.74/1000 h of netball exposure. One risk factor was identified to increase the odds of sustaining an ankle sprain during netball participation – a reach distance in the posterior-medial direction of the star excursion balance test of less than or equal to 77.5% of leg length (OR = 4.04, 95% CI = 1.00–16.35). Conclusions: The identified risk factor can be easily measured and should be considered for preseason injury risk profiling of netball players. Netball players may benefit from training programs aimed at improving single leg balance

Predicting Parkinson's disease trajectory using clinical and functional MRI features: a reproduction and replication study

Parkinson's disease (PD) is a common neurodegenerative disorder with a poorly understood physiopathology and no established biomarkers for the diagnosis of early stages and for prediction of disease progression. Several neuroimaging biomarkers have been studied recently, but these are susceptible to several sources of variability. In this context, an evaluation of the robustness of such biomarkers is essential. This study is part of a larger project investigating the replicability of potential neuroimaging biomarkers of PD. Here, we attempt to reproduce (same data, same method) and replicate (different data or method) the models described in Nguyen et al., 2021 to predict individual's PD current state and progression using demographic, clinical and neuroimaging features (fALFF and ReHo extracted from resting-state fMRI). We use the Parkinson's Progression Markers Initiative dataset (PPMI, ppmi-info.org), as in Nguyen et al.,2021 and aim to reproduce the original cohort, imaging features and machine learning models as closely as possible using the information available in the paper and the code. We also investigated methodological variations in cohort selection, feature extraction pipelines and sets of input features. The success of the reproduction was assessed using different criteria. Notably, we obtained significantly better than chance performance using the analysis pipeline closest to that in the original study (R2 > 0), which is consistent with its findings. The challenges encountered while reproducing and replicating the original work are likely explained by the complexity of neuroimaging studies, in particular in clinical settings. We provide recommendations to further facilitate the reproducibility of such studies in the future