Building a competitive application: exploring the entry routes and educational choices of otolaryngology higher surgical trainees in the UK.

Background: This cross-sectional study investigates the educational background and entry routes of otolaryngology higher surgical trainees in the UK.

Method: A survey was disseminated to trainees through training programme directors and 60 responses were received.

Results: Most trainees decided to pursue otolaryngology early in their training, with 50 per cent making the decision four or more years before applying for a higher surgical traineeship.

A Novel Framework for Qualification of a Composite-Based Main Landing Gear Strut of a Lightweight Aircraft.

The determination of suitable testing and qualification procedures for fiber-reinforced polymer matrix composite structures is an active area of research due to the increased demand, especially in the field of aerospace. This research illustrates the development of a generic qualification framework for a composite-based main landing gear strut of a lightweight aircraft. For this purpose, a landing gear strut composed of T700 carbon fiber/epoxy material was designed and analyzed for a given lightweight aircraft having mass of 1600 kg.

Airfoil Selection Procedure, Wind Tunnel Experimentation and Implementation of 6DOF Modeling on a Flying Wing Micro Aerial Vehicle.

Airfoil selection procedure, wind tunnel testing and an implementation of 6-DOF model on flying wing micro aerial vehicle (FWMAV) has been proposed in this research. The selection procedure of airfoil has been developed by considering parameters related to aerodynamic efficiency and flight stability. Airfoil aerodynamic parameters have been calculated using a potential flow solver for ten candidate airfoils.

A Region-Based Deep Level Set Formulation for Vertebral Bone Segmentation of Osteoporotic Fractures.

Accurate segmentation of the vertebrae from medical images plays an important role in computer-aided diagnoses (CADs). It provides an initial and early diagnosis of various vertebral abnormalities to doctors and radiologists. Vertebrae segmentation is very important but difficult task in medical imaging due to low-contrast imaging and noise.

A novel approach to CAD system for the detection of lung nodules in CT images.

Detection of pulmonary nodule plays a significant role in the diagnosis of lung cancer in early stage that improves the chances of survival of an individual. In this paper, a computer aided nodule detection method is proposed for the segmentation and detection of challenging nodules like juxtavascular and juxtapleural nodules. Lungs are segmented from computed tomography (CT) images using intensity thresholding; brief analysis of CT image histogram is done to select a suitable threshold value for better segmentation results.