The Food and Agriculture Organization of the United Nations (FAO) has identified essential areas requiring improvement to enhance the safety and quality of products from small-scale fisheries (SSFs) according to a recent comprehensive study. SSFs, encompassing 90% of the world's fishers, play an invaluable role in global food security and the promotion of public health.
A groundbreaking study conducted by researchers from China has evaluated the potential for phosphorus (P) recovery from sewage sludge, aiming to assess its environmental sustainability and socio-economic costs. The study, published in a recent issue of the International Journal of Environmental Research and Public Health, utilized life cycle assessment (LCA) and life cycle costing (LCC) methods t
Researchers employ cutting-edge WPI technique to enhance the design and optimization of nano- and micro-technologies, significantly improving their detection capabilities.
A groundbreaking study has taken a significant step towards understanding the complexities of the human eye. By mapping the molecular architecture of the retinal pigment epithelium (RPE) and choroid – integral components of the visual system – the research provides crucial insights into the cell compositions and molecular mechanisms underlying the eye's changes with age and region.
A group of multidisciplinary researchers advocate an innovative, synergistic approach for tackling the dual environmental challenges of climate change and air pollution in China. The research perspective highlights the immense potential of this approach in achieving significant co-benefits in terms of reducing greenhouse gas emissions, improving air quality, and enhancing public health.
A recent review summarised compelling evidence of the role of the Inferior Frontal Gyrus (IFG) in the pathogenesis of Bipolar Disorder (BD), a hereditary condition with severe emotional swings. These insights could enable early identification of at-risk individuals, opening avenues for preemptive interventions.
Early detection of tomato leaf diseases is critical to prevent their spread, but manual detection methods for the same are time-consuming, inconsistent, and labor-intensive. To address this problem, researchers from China developed a novel deep learning network architecture called PLPNet that can accurately detect and distinguish different leaf diseases in real time.
Satisfied Users & 
Approved Press Releases
