Key frame extraction algorithm for surveillance videos using an evolutionary approach.

With rapid technological advancements, videos are captured, stored, and shared in multiple formats, increasing the requirement for summarization techniques to enable shorter viewing durations. Key Frame Extraction (KFE) algorithms are crucial in video summarization, compression, and offline analysis. This study aims to develop an efficient KFE approach for generic videos.

Frailty in older adults with systemic lupus erythematosus and emergency department utilization: an administrative claims data analysis of Medicare beneficiaries.

Introduction / Objectives: While presence of concomitant SLE and frailty has been associated with greater emergency department (ED) use than SLE alone in young/mid-aged adults, whether frailty increases ED use in older adults with SLE remains unknown. In a nationally representative United States administrative claims dataset, we investigated the association of frailty duration with use of ED services in the SLE population compared with individuals without systemic rheumatic disease (SRD).

Method: We identified Medicare beneficiaries ≥ 65 years with SLE and matched them (1:4) by age and gender with non-SRD comparators with osteoarthritis.

ODD-Net: a hybrid deep learning architecture for image dehazing.

Haze can significantly reduce visibility and contrast of images captured outdoors, necessitating the enhancement of images. This degradation in image quality can adversely affect various applications, including autonomous driving, object detection, and surveillance, where poor visibility may lead to navigation errors and obscure crucial details. Existing dehazing techniques face several challenges: spatial methods tend to be computationally heavy, transform methods often fall short in quality, hybrid methods can be intricate and demanding, and deep learning methods require extensive datasets and computational power.

Customised 96-ocular TaqMan (iCAM) microarray PCR card for rapid diagnosis of microbial keratitis.

Aim: To validate the diagnostic performance of a custom 96-micro-organism TaqMan PCR card (iCAM) for microbial keratitis (MK) from a single corneal epithelial sample.

Methods: Patients over the age of 18 referred to Cambridge University Hospital with MK were recruited in this single-site prospective cohort study between September 2021 and January 2023. An ocular-specific, customised microarray card (iCAM) was constructed according to primer and probe nucleotide sequences developed in our department to detect bacteria, viruses, and fungi commonly implicated in MK using a single corneal epithelial sample.