Preoperative amylmetacresol and dichlorobenzyl alcohol with lignocaine lozenge reduces postoperative sore throat following general anaesthesia using supraglottic airway devices: A double-blinded, randomised, placebo-controlled trial.

Background And Aims: Postoperative sore throat (POST) is an undesirable event reported in up to 62% of patients receiving general anaesthesia (GA). The incidence of POST following GA using a supraglottic airway device (SAD) is approximately 50%, with symptoms persisting up to 48 h. We examined the role of preoperative lozenges containing amylmetacresol and dichlorobenzyl alcohol (AMC/DCBA) with lignocaine (Strepsils Max Plus) in reducing the incidence and intensity of POST following GA using SAD.

Specific and Spillover Effects on Vectors Following Infection of Two RNA Viruses in Pepper Plants.

Mixed infection of plant viruses is ubiquitous in nature and can affect virus-plant-vector interactions differently than single virus infection. While several studies have examined virus-virus interactions involving mixed virus infection, relatively few have examined effects of mixed virus infection on vector preference and fitness, especially when multiple vectors are involved. This study explored how single and mixed viral infection of a non-persistently transmitted cucumber mosaic virus (CMV) and propagative and persistently-transmitted tomato spotted wilt orthotospovirus (TSWV) in pepper, L.

A systematic review of muscle activity assessment of the biceps brachii muscle using mechanomyography.

This systematic review aims to categorically analyses the literature on the assessment of biceps brachii (BB) muscle activity through mechanomyography (MMG). The application of our search criteria to five different databases identified 319 studies. A critical review of the 48 finally selected records, revealed the diversity of protocols and parameters that are employed in MMG-based assessments of BB muscle activity.

Wheeze sound analysis using computer-based techniques: a systematic review.

Wheezes are high pitched continuous respiratory acoustic sounds which are produced as a result of airway obstruction. Computer-based analyses of wheeze signals have been extensively used for parametric analysis, spectral analysis, identification of airway obstruction, feature extraction and diseases or pathology classification. While this area is currently an active field of research, the available literature has not yet been reviewed.

Classification of pulmonary pathology from breath sounds using the wavelet packet transform and an extreme learning machine.

Background: Auscultation is a medical procedure used for the initial diagnosis and assessment of lung and heart diseases. From this perspective, we propose assessing the performance of the extreme learning machine (ELM) classifiers for the diagnosis of pulmonary pathology using breath sounds.

Methods: Energy and entropy features were extracted from the breath sound using the wavelet packet transform.