To establish an effective feeding regime for the aquaculture of genetically improved farmed Nile Tilapia Oreochromis niloticus (GIFT), this experiment investigated the effects of feeding frequency and daily ration on the growth of GIFT fry (initial weight, ca. 0.85 g). A factorial experiment design of two feeding frequencies (2 and 3 meals/d) and five feeding rates (2, 4, 6, 8, and 10% body weight per day [BW/d]) was carried out over 70 d with three replicates for each treatment. At the end of the experiment, fish from each treatment were sampled for the growth metrics of final body weight (Wt), weight gain rate (WGR), survival rate (SR), specific growth rate (SGR), and feed conversion ratio (FCR), as well as body composition and plasma metabolite measurements and histopathological analysis. The feeding frequency had a significant (P < 0.05) effect only on the Wt of fish. Feeding rates had highly significant effects on all the growth metrics (P < 0.01) except SR. The largest WGR and SGR were both observed in the fish receiving 6% BW/d at both feeding frequencies. The largest Wt was observed in the fish fed two meals daily at a 6% feeding rate. The relatively lower hepatosomatic index, liver contents, and body lipid also indicated better performance in fish that received 6% BW/d. In conclusion, these results suggest that a feeding rate of 6% BW/d and a feeding frequency of 2 meals/d is the most favorable protocol for the growth and physiological balance of GIFT during the fry phase.

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Convolutional neural networks (CNNs) are powerful tools for image segmentation and classification. Here, we use this method to identify and mark the heart region of Drosophila at different developmental stages in the cross-sectional images acquired by a custom optical coherence microscopy (OCM) system. With our well-trained CNN model, the heart regions through multiple heartbeat cycles can be marked with an intersection over union of ~86%. Various morphological and dynamical cardiac parameters can be quantified accurately with automatically segmented heart regions. This study demonstrates an efficient heart segmentation method to analyze OCM images of the beating heart in Drosophila.

Purpose: Poor adherence and persistence to blood pressure lowering (BPL) agents leads to increased risk of morbidity and mortality. The aim of this study was to investigate the long-term adherence, persistence, and re-initiation of BPL agents among older Australians (aged ≥65 years). Methods:We utilised the Pharmaceutical Benefits Scheme data covering a 10% random sample of Australians. We identified 31 088 older Australians (mean age, 75.4 years; 56% females) with newly initiated BPL therapy from 2008 to 2016. Adherence was assessed using the proportion of days covered (PDC) at 6-month intervals.Discontinuation was defined as ≥90 days without BPL coverage. Cox regression was applied to compare the time till the first discontinuation of BPL agents across different BPL categories and among various subgroups.Results: Over a mean follow-up of 3.8 years, 40% to 70% of older Australians received a BPL agent discontinued it. The median time to discontinuation ranged from 159 to 373 days. Persistence with fixed dose combinations was the best (68%, 58%, and 41% at 6, 12, and 36 months respectively), followed by angiotensin II receptor blockers (69%, 58%, and 40%), beta-blockers (67%, 54%, and 36%), angiotensin converting enzyme inhibitors (62%, 51%, and 34%), calcium channel blockers (57%, 47%, and 31%), and diuretics (59%, 41%, and 23%). Among those who discontinued, 30% to 50% re-initiated, with median days to re-initiation ranging from 177 to 302.Only 21% to 42% of the study population maintained "good" adherence (PDC ≥ 0.8) to BPLs over 3 years.Conclusion: Compliance to BPL agents is poor among older Australians. Interventions to enhance adherence and persistence to BPL agents are needed.