A Pilot Study on the Freelisting Method Among Adolescents with Chronic Musculoskeletal Pain: Feasibility, Acceptability and Study Findings.

: To assess the feasibility and acceptability of freelisting for adolescents with chronic musculoskeletal pain (CMP) and use freelisting to identify how adolescents with CMP cope with pain. : This was a mixed-methods cross-sectional single-center study of patients 12-18 years old, diagnosed with CMP. Twenty-seven subjects participated in an interview which included the freelisting exercise, probing questions, Connor-Davidson Resilience Scale 10-item, and semi-structured interview.

Effect of Characteristic Inflammatory and Structural Pelvic Magnetic Resonance Imaging Lesions on Expert Assessment of Axial Juvenile Spondyloarthritis.

Objective: To evaluate the influence of pelvic magnetic resonance imaging (MRI) findings on axial disease assessment in juvenile spondyloarthritis (JSpA).

Methods: This was a cross-sectional study of patients with JSpA with suspected axial disease. Three experts reviewed each case and rated their confidence (-3 to +3) in the presence of axial disease, first with clinical data and second with clinical and MRI data.

Progress towards the elimination of trachoma as a public health problem in four counties of Eastern Equatoria State, Republic of South Sudan.

Background: Trachoma is targeted by the World Health Organization (WHO) for elimination as a public health problem by 2030. Trachoma impact surveys using standardised methodology are recommended to monitor progress towards elimination and to determine eligibility for continued surgery, antibiotics, facial cleanliness, and environmental improvement (SAFE) interventions. From 2007 to 2015, four counties of Eastern Equatoria State, South Sudan, received three to five rounds of mass drug administration with antibiotics.

The role of the left primary motor cortex in apraxia.

Background: Apraxia is a motor-cognitive disorder that primary sensorimotor deficits cannot solely explain. Previous research in stroke patients has focused on damage to the fronto-parietal praxis networks in the left hemisphere (LH) as the cause of apraxic deficits. In contrast, the potential role of the (left) primary motor cortex (M1) has largely been neglected.

Deep-blur: Blind identification and deblurring with convolutional neural networks.

We propose a neural network architecture and a training procedure to estimate blurring operators and deblur images from a single degraded image. Our key assumption is that the forward operators can be parameterized by a low-dimensional vector. The models we consider include a description of the point spread function with Zernike polynomials in the pupil plane or product-convolution expansions, which incorporate space-varying operators.