Functional mimicry of Ruffini receptors with fibre Bragg gratings and deep neural networks enables a bio-inspired large-area tactile-sensitive skin

Collaborative robots are expected to physically interact with humans in daily living and the workplace, including industrial and healthcare settings. A key related enabling technology is tactile sensing, which currently requires addressing the outstanding scientific challenge to simultaneously detect contact location and intensity by means of soft conformable artificial skins adapting over large areas to the complex curved geometries of robot embodiments. In this work, the development of a large-area sensitive soft skin with a curved geometry is presented, allowing for robot total-body coverage through modular patches. The biomimetic skin consists of a soft polymeric matrix, resembling a human forearm, embedded with photonic fibre Bragg grating transducers, which partially mimics Ruffini mechanoreceptor functionality with diffuse, overlapping receptive fields. A convolutional neural network deep learning algorithm and a multigrid neuron integration process were implemented to decode the fibre Bragg grating sensor outputs for inference of contact force magnitude and localization through the skin surface. Results of 35 mN (interquartile range 56 mN) and 3.2 mm (interquartile range 2.3 mm) median errors were achieved for force and localization predictions, respectively. Demonstrations with an anthropomorphic arm pave the way towards artificial intelligence based integrated skins enabling safe human–robot cooperation via machine intelligence

Multiple sclerosis survival: a population-based study in Sicily.

Background and purpose: There are few population-based surveys on multiple sclerosis (MS) survival. To investigate MS survival in MS patients recruited during surveys conducted in Sicily. Methods: Multiple sclerosis patients identified during previous surveys were randomly matched to two referent subjects by residence, year of birth, and gender. Living status was obtained by municipality records (end of follow-up June, 30th 2007) and, for the deceased, date and causes of death were searched. Kaplan-Meier plots were used to calculate differences in mortality between MS patients and referent subjects. MS risks for mortality with 95% confidence intervals (CI) were also calculated. Results: We included 194 MS patients and 388 matched persons. Thirty MS patients (15.5%) and 28 referents (7.2%) had died until the end of follow-up. Mean survival from onset of the disease to death was 20.6 years. Mean age at death was 55.5 for MS patients and 64.8 for the referents. Adjusted Hazard Ratios for mortality in MS was 1.81 (95% CI 1.36-2.40). Kaplan-Meier estimates showed a higher mortality amongst patients compared to referent subjects (P < 0.001). Conclusions: The present study confirms the higher mortality risk in MS patients with no significant gender difference. Causes of death are related to complications of high disability and to increasing ag

Diabetes preceding Parkinson's disease onset. A case-control study

Objective: To assess the association between diabetes preceding Parkinson's disease (PD) and PD. Methods: PD individuals were matched to PD free individuals randomly selected from people in the same municipality as the cases. Occurrence of diabetes preceding PD onset among cases and controls was assessed through a structured questionnaire. Information regarding current and past medical treatment and other variables was also collected. We used univariate and multivariate logistic models to calculate crude and adjusted odds ratios (OR). Covariates are adjusted for included education, smoking habit, alcohol and coffee consumption. Results: 318 PD individuals (165 women, 153 men) and 318 matched controls were included in the study. PD patients had a mean age at interview of 66.7 years. Mean age at PD onset was 60.8 years and mean PD duration 5.9 years. We found an inverse association between PD and diabetes preceding PD onset in all groups stratified by gender, age at PD onset, body mass index (BMI), smoking habit, alcohol and coffee consumption. Multivariate analysis yielded the same findings after controlling for the variables (adjusted OR 0.4; 95% CI, 0.2-0.8). Conclusions: Our findings provide additional support for a potential link between diabetes and P