Risk Factors for Spontaneous Abortion

A case-control study was conducted to evaluate risk factors for spontaneous abortions. Cases were 94 women with two or more unexplained miscarriages (after exclusion of genetic, endocrine and Müllerian factors) and no term pregnancy, controls were 176 women admitted for normal delivery to the same clinic where cases were identified. Questions were asked about personal characteristics and habits, and gynaecological history. A family history of recurrent miscarriage was more common among women with spontaneous miscarriages than among the controls (13 cases versus 8 controls, relative risk (RR) =3.2, 95% confidence interval (CI) = 1.3-8.1). Compared to women whose menarche occurred at age 11 or younger, the RRs were 0.8 when menarche occurred at age 12-13 and 0.5 at age 14 or more: this trend in risk was statistically significant. Compared with never smokers, current smokers had about a 40% increased risk of miscarriage and the risk increased with number of cigarettes per day. No association emerged with socio-demographic characteristics (e.g. education, marital status, age of the partner), reproductive history (age at first pregnancy), type of contraceptive used and other general lifestyle habits (e.g. alcohol or coffee consumption

IMU-based human activity recognition and payload classification for low-back exoskeletons

Nowadays, work-related musculoskeletal disorders have a drastic impact on a large part of the world population. In particular, low-back pain counts as the leading cause of absence from work in the industrial sector. Robotic exoskeletons have great potential to improve industrial workers’ health and life quality. Nonetheless, current solutions are often limited by sub-optimal control systems. Due to the dynamic environment in which they are used, failure to adapt to the wearer and the task may be limiting exoskeleton adoption in occupational scenarios. In this scope, we present a deep-learning-based approach exploiting inertial sensors to provide industrial exoskeletons with human activity recognition and adaptive payload compensation. Inertial measurement units are easily wearable or embeddable in any industrial exoskeleton. We exploited Long-Short Term Memory networks both to perform human activity recognition and to classify the weight of lifted objects up to 15 kg. We found a median F1 score of 90.80 % (activity recognition) and 87.14 % (payload estimation) with subject-specific models trained and tested on 12 (6M-6F) young healthy volunteers. We also succeeded in evaluating the applicability of this approach with an in-lab real-time test in a simulated target scenario. These high-level algorithms may be useful to fully exploit the potential of powered exoskeletons to achieve symbiotic human–robot interaction

Risk Factors for Spontaneous Abortion

A case-control study was conducted to evaluate risk factors for spontaneous abortions. Cases were 94 women with two or more unexplained miscarriages (after exclusion of genetic, endocrine and M\ufcllerian factors) and no term pregnancy, controls were 176 women admitted for normal delivery to the same clinic where cases were identified. Questions were asked about personal characteristics and habits, and gynaecological history. A family history of recurrent miscarriage was more common among women with spontaneous miscarriages than among the controls (13 cases versus 8 controls, relative risk (RR) = 3.2, 95% confidence interval (CI) = 1.3-8.1). Compared to women whose menarche occurred at age 11 or younger, the RRs were 0.8 when menarche occurred at age 12-13 and 0.5 at age 14 or more: this trend in risk was statistically significant. Compared with never smokers, current smokers had about a 40% increased risk of miscarriage and the risk increased with number of cigarettes per day. No association emerged with sociodemographic characteristics (e.g. education, marital status, age of the partner), reproductive history (age at first pregnancy), type of contraceptive used and other general lifestyle habits (e.g. alcohol or coffee consumption)

A Methodology for Continuous Monitoring of Rail Corrugation on Subway Lines Based on Axlebox Acceleration Measurements

Rail corrugation is a degradation phenomenon that manifests as a quasi-periodic irregularity on the running surface of the rail. It is a critical problem for urban railway lines because it induces ground-borne vibrations transmitted to the buildings near the infrastructure, causing complaints from the inhabitants. A typical treatment to mitigate the rail corrugation problem is the periodic grinding of the rails, performed by dedicated vehicles. The scheduling of rail maintenance is particularly critical because it can be performed only when the service is interrupted. A procedure for the continuous monitoring of rail corrugation is proposed, based on axlebox acceleration measurements. The rail irregularity is estimated from the measured acceleration by means of a frequency domain model of vertical dynamics of the wheel–rail interaction. The results obtained by using two different methods (a state-of-the-art method and a new one) are compared. Finally, the study of the evolution of the power content of the rail irregularity enables the identification of the track sections where corrugation is developing and rail grinding is necessary

Robotic modified radical hysterectomy with pelvic lymphadenectomy

Radical hysterectomy, the complete removal of a woman’s uterus, is usually performed via an abdominal incision that requires a 3–5 day hospital stay and a 6–8 week recovery period. Now, in a handful of hospitals around the world, new robotic technology allows doctors to perform this procedure through small incisions that require a recovery time of only one night in the hospital and a significantly shorter recovery period at home. Watch such a procedure being carried out at the European Institute of Oncology

Application of martensitic SMA alloys as passive dampers of GFRP laminated composites

This paper describes the application of SMA (Shape Memory Alloy) materials to enhance the passive damping of GFRP (Glass Fiber Reinforced Plastic) laminated composite. The SMA has been embedded as reinforcement in the GFRP laminated composite and a SMA/GFRP hybrid composite has been obtained. Two SMA alloys have been studied as reinforcement and characterized by thermo-mechanical tests. The architecture of the hybrid composite has been numerically optimized in order to enhance the structural damping of the host GFRP laminated, without significant changes of the specific weight and of the flexural stiffness. The design and the resultant high damping material are interesting and will be useful in general for applications related to passive damping. The application to a new designed lateral horn of railway collector of the Italian high speed trains is discussed

Design for the Damping of a Railway Collector Based on the Application of Shape Memory Alloys

A new design of a Cu based SMA/GFRP lateral horn of a railway collector is proposed. Synergistic contribution of the performance parameters associated with the SMA, including specific damping, specific stiffness, and volume fraction, as well as those associated with the host composite such as flexural rigidity, SMA through-the-thickness location, and SMA-host interfacial strength, is taken into account. The aim is to increase the structural damping of the first flexural mode of the horn without significantly changing its flexural stiffness and weight. The focus of this work also applies to manufacturability and the cost effectiveness of the component for future industrial production