Automation

The complexity of the mitral valve (MV) anatomy and function is not yet fully understood. Assessing the dynamic movement and interaction of MV components to define MV physiology during the complete cardiac cycle remains a challenge. We herein describe a novel semi-automated 4D MV model. The model applies quantitative analysis of the MV over a complete cardiac cycle based on real-time 3D transoesophageal echocardiography (RT3DE) data. RT3DE data of MVs were acquired for 18 patients. The MV annulus and leaflets were semi-automatically reconstructed. Dimensions of the mitral annulus (anteroposterior and anterolateral-posteromedial diameter, annular circumference, annular area) and leaflets (MV orifice area, intercommissural distance) were acquired. Variability and reproducibility (intraclass correlation coefficient, ICC) for interobserver and intraobserver comparison were quantified at 4 time points during the cardiac cycle (mid-systole, end-systole, mid-diastole and end-diastole). Mit...

Automation impacts wage levels at the micro-level, and the structure of employment at the macro-level. Job polarisation is defined as the automation of ‘middle-skill’ jobs that require routine cognitive and manual applications while high and low-skill occupations are preserved. This paper examines the nature of job polarisation in India during the period 1983-2012 when Indian manufacturing sector was being automated. The research uses disaggregated data from National Sample Survey Office and examines the impact of supply-side factors such as nature of employment and presence of educated labour force. The study has three observations. First, the increased demand for high-skilled workers in the formal manufacturing sector is due to skill-bias of technology and conforms to theoretical expectation. Second, the transition of agricultural labourers to low-skill manufacturing sectors such as construction and textiles signals distress in traditional manufacturing sector to provide employment to these groups. Third, the over-supply of secondary and tertiary educated labour force has resulted in the squeezing out of middle-skilled workers from middle-skill jobs to relatively low-skill manufacturing and service occupations. This explains the persistence of routine occupations even after automation. The study concludes that in the Indian manufacturing sector, increased demand for high and low-skill jobs has co-existed with the middle-skill jobs due to supply-side factors.

Femtosecond laser nanosurgery has been widely accepted as an axonal injury model, enabling nerve regeneration studies in the small model organism, Caenorhabditis elegans. To overcome the time limitations of manual worm handling techniques, automation and new immobilization technologies must be adopted to improve throughput in these studies. While new microfluidic immobilization techniques have been developed that promise to reduce the time required for axotomies, there is a need for automated procedures to minimize the required amount of human intervention and accelerate the axotomy processes crucial for high-throughput. Here, we report a fully automated microfluidic platform for performing laser axotomies of fluorescently tagged neurons in living Caenorhabditis elegans. The presented automation process reduces the time required to perform axotomies within individual worms to ,17 s/worm, at least one order of magnitude faster than manual approaches. The full automation is achieved with a unique chip design and an operation sequence that is fully computer controlled and synchronized with efficient and accurate image processing algorithms. The microfluidic device includes a T-shaped architecture and three-dimensional microfluidic interconnects to serially transport, position, and immobilize worms. The image processing algorithms can identify and precisely position axons targeted for ablation. There were no statistically significant differences observed in reconnection probabilities between axotomies carried out with the automated system and those performed manually with anesthetics. The overall success rate of automated axotomies was 67.4¡3.2% of the cases (236/350) at an average processing rate of 17.0¡2.4 s. This fully automated platform establishes a