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Updates every hour. Last Updated: 6-Nov-2025 04:11 ET (6-Nov-2025 09:11 GMT/UTC)
Digital phenotyping reveals waterlogging-tolerant chrysanthemum varieties
Nanjing Agricultural University The Academy of ScienceA research team has demonstrated that consumer-grade digital cameras, paired with machine learning, can rapidly and accurately identify waterlogging-tolerant chrysanthemum varieties.
- Journal
- Plant Phenomics
New CT-based model enhances accuracy in maize endosperm segmentation
Nanjing Agricultural University The Academy of ScienceA research team has developed a deep learning–driven computed tomography (CT) imaging pipeline that enables precise, nondestructive segmentation of maize kernel endosperm.
- Journal
- Plant Phenomics
Starch-based superwettable systems: a green leap in material science
Higher Education PressEver wondered how nature’s waterproof leaves and self-cleaning surfaces could inspire new materials? A recent study in Engineering explores how starch, a common kitchen ingredient, can be used to create advanced superwettable systems for packaging, water treatment, and even food taste enhancement. Discover how this eco-friendly solution is shaping the future of material science!
- Journal
- Engineering
Researchers determine how cells prevent RNA traffic jams under stress
Michigan Medicine - University of Michigan- Journal
- Genes & Development
Innovative model for zinc fluidized bed roaster temperature prediction
Higher Education PressLooking to improve zinc production? Scientists have developed a new model that can quickly and accurately predict temperatures in industrial roasters using minimal data. This innovation could enhance efficiency and product quality in zinc smelting. Find out how it works and its potential impact in our latest report!
- Journal
- Engineering
Innovative nanographite system for enhanced oil recovery in deep reservoirs
Higher Education PressUnlocking deep oil reservoirs just got easier! Scientists have developed a groundbreaking nanographite system that boosts oil recovery in extreme conditions. Read on to discover how this innovative solution overcomes high-temperature and high-salinity challenges, offering a game-changing approach for enhanced oil extraction.
- Journal
- Engineering
Drones and deep learning boost soybean breeding with 3D canopy insights
Nanjing Agricultural University The Academy of ScienceA research team demonstrates how combining drone-based 3D canopy imaging with advanced deep learning models can transform soybean phenotyping.
- Journal
- Plant Phenomics
Microfluidic point-of-care device accurately measures bilirubin in blood serum: a pilot study
Shanghai Jiao Tong University Journal CenterObjective
The concentration of bilirubin in blood or serum is useful for assessing liver function as well as monitoring treatment. This study evaluates the clinical performance of a novel point-of-care (PoC) device for the detection of bilirubin in serum. The PoC device incorporates an integrated miniature optoelectronic sensing module and a microfluidic test cartridge.
Methods
Patients’ serum total bilirubin concentrations, ranging from 2 μmol/L to 480 μmol/L, were measured using the PoC device and the standard laboratory method (n=20). Bland-Altman analysis and regression analysis using Passing-Bablok method were used to benchmark the PoC device against the standard laboratory measurements. The diagnostic capability of the PoC device in categorising the serum samples within clinically relevant bilirubin concentration thresholds of 200, 300, and 450 μmol/L was assessed using receiver operating characteristic (ROC) analysis.
Results
The mean difference between the PoC device and the standard laboratory method was −5.6 μmol/L, with a 95% confidence interval (CI) of −45.1 μmol/L to 33.9 μmol/L. The coefficient of determination (R2) was 0.986. The PoC device achieved a detection sensitivity of 90% and specificity of 97% in categorising bilirubin concentrations within bands used in clinical decision-making.
Conclusions
This study demonstrates that the proposed PoC device is capable of measuring bilirubin levels in patient samples with clinically acceptable accuracy.
- Journal
- LabMed Discovery
Vitamin D3 nanoemulsion significantly improves core symptoms in children with autism: a clinical trial
Shanghai Jiao Tong University Journal CenterObjective
Children with autism spectrum disorder (ASD) had lower vitamin D3 levels than neurotypical (NT) children, as well as deficits in language, social, and fine motor abilities. Nanotechnology has appeared as a suitable answer to absorption and bioavailability problems related to vitamin D3. This study aims to investigate the influence of vitamin D3-loaded nanoemulsion supplementation on adaptive behavior and language performance in children with ASD compared to the influence of the marketed product of vitamin D3.
Methods
Supplementation of ASD children with an oral vitamin D3-loaded nanoemulsion was performed in group I while the marketed product of the oral vitamin D3 was used in group II for 6 months. Evaluation of their abilities and measuring the plasma levels of 2 types of vitamin D3 were performed using ultra-performance liquid chromatography before and after supplementation.
Results
Supplementation in group I (n = 40) has led to an elevation of levels of 25 (OH) and 1, 25 (OH)2 forms of vitamin D3 (P < 0.000,1), to behavioral improvement in the form of a reduction in ASD severity, and to a rise in the social IQ and total language age of ASD children (P = 0.000,2, 0.04, 0.000,9, respectively). On the other hand, group II (n = 40) did not show adaptive behavioral improvements.
Conclusions
The vitamin D3-loaded nanoemulsion provided better vitamin D3 bioavailability and a true influence on severity, adaptive behavior, fine motor abilities, and language performance, reflecting the desired benefits of the rise of vitamin D3 levels in the blood.
- Journal
- LabMed Discovery