Mathematical modelling and analysis for the co-infection of viral and bacterial diseases: a systematic review protocol.

Introduction: Breaking the chain of transmission of an infectious disease pathogen is a major public health priority. The challenges of understanding, describing and predicting the transmission dynamics of infections have led to a wide range of mathematical, statistical and biological research problems. Advances in diagnostic laboratory procedures with the ability to test multiple pathogens simultaneously mean that co-infections are increasingly being detected, yet little is known about the impact of co-infections in shaping the course of an infection, infectivity, and pathogen replication rate.

Predictive modelling of metabolic syndrome in Ghanaian diabetic patients: an ensemble machine learning approach.

Objectives: The burgeoning prevalence of cardiometabolic disorders, including type 2 diabetes mellitus (T2DM) and metabolic syndrome (MetS) within Africa is concerning. Machine learning (ML) techniques offer a unique opportunity to leverage data-driven insights and construct predictive models for MetS risk, thereby enhancing the implementation of personalised prevention strategies. In this work, we employed ML techniques to develop predictive models for pre-MetS and MetS among diabetic patients.

Postharvest melatonin application attenuates browning, delays softening, and maintains the antioxidant potential of jackfruit bulbs.

Although the impact of postharvest melatonin (MLT) application in extending the storage life of horticultural produce has been widely studied, its effect in jackfruit remains unknown. This investigation evaluates the influence of MLT dip application (0, 0.05, 0.

Methyl jasmonate advances fruit ripening, colour development, and improves antioxidant quality of 'Yoho' and 'Jiro' persimmon.

Methyl jasmonate (MJ) has potential to regulate fruit ripening and quality. 'Yoho' and 'Jiro' persimmons were sprayed with MJ (0, 2, 4, and 6 mM), four weeks before anticipated harvest to evaluate its effects on fruit colour and bioactive compounds. Preharvest MJ application significantly improved fruit colour with increased a*, b*, chroma, and colour index.