Synthetic minority oversampling and iterative fluorescence-suppression integrated algorithm for Raman spectrum pesticide detection system.

Raman spectrum preprocessing method for automatic denoising and suppression of the fluorescent background. In this method, noise is reduced using wavelet transform, and a modified polynomial curve fitting method is implemented such that an algorithm can independently identify the optimal curve parameters for fluorescent background suppression. To address the problem of imbalanced datasets, the present study employed a synthetic minority oversampling technique to increase the volume of data in minority classes.

Development of feline infectious peritonitis diagnosis system by using CatBoost algorithm.

This study employed machine learning techniques to predict the rate of feline infectious peritonitis (FIP) diagnoses, with a specific focus on mutations in the spike protein gene of the feline coronavirus (FCoV). FIP is a fatal viral disease affecting the peritoneum of cats and is primarily caused by mutations in FCoV. Its diagnosis largely relies on evaluations of various biomarkers and clinical symptoms.

Enzymatic modification of cotton fibre polysaccharides as an enabler of sustainable laundry detergents.

Cotton is the most common natural fibre used in textile manufacture, used alone or with other fibres to create a wide range of fashion clothing and household textiles. Most of these textiles are cleaned using detergents and domestic or commercial washing machines using processes that require many chemicals and large quantities of water and energy. Enzymes can reduce this environmental footprint by enabling effective detergency at reduced temperatures, mostly by directly attacking substrates present in the soils.

Glycaemic control and microvascular complications among paediatric type 2 diabetes mellitus patients in Hong Kong at 2 years after diagnosis.

Introduction: Type 2 diabetes mellitus (T2DM) is becoming increasingly common among children and adolescents worldwide, including those in Hong Kong. This study analysed the characteristics and prevalence of microvascular complications among paediatric T2DM patients in Hong Kong at diagnosis and 2 years after diagnosis.

Methods: All patients aged <18 years who had been diagnosed with DM at public hospitals in Hong Kong were recruited into the Hong Kong Childhood Diabetes Registry.

Long-Term Echocardiographic and Clinical Outcomes After Invasive and Non-Invasive Therapies for Sub-Massive and Massive Acute Pulmonary Embolism.

Aim: Acute pulmonary embolism (PE) is a significant cause of mortality in the hospital setting. The objective of this study was to outline the long-term outcomes after surgical and non-surgical management for patients with massive and submassive PE.

Methods: Population cohort observational study evaluating all patients who presented to three tertiary hospitals in the state of Western Australia with access to cardiothoracic services over 5 years (2013-2018).