Researchers at Hefei Institutes of Physical Science developed novel 3D bioprinting materials for bone and soft tissue repair. The composite materials using bioactive boron-based glass (BBG) and polycaprolactone or sodium alginate demonstrated optimal properties for bone defect repair and soft tissue regeneration.
SourceHefei Institutes of Physical Science, Chinese Academy of Sciences·JournalInternational Journal of Biological Macromolecules·DateOct 12, 2024
Researchers discovered pressure-induced unusual evolution of superconductivity in natural bulk van der Waals heterostructure 6R-TaS2. The study found that superconducting Tc exhibits nonmonotonic behavior, increasing and then resurging at higher pressures.
SourceHefei Institutes of Physical Science, Chinese Academy of Sciences·JournalPhysical Review Letters·DateOct 12, 2024
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A research group developed a method to accurately map paddy rice cultivation using satellite remote sensing and machine learning. The method showed high accuracy in Anhui Province, China, and could be adapted for other crops.
SourceHefei Institutes of Physical Science, Chinese Academy of Sciences·JournalAgriculture·DateOct 12, 2024
A new study reveals how chronic stress disrupts the balance of gut microbiota to speed up the progression of colorectal cancer. The research identified a particular bacterial species as a potential therapeutic target, specifically Lactobacillus genus, which is essential for a healthy immune response against cancer.
Researchers found that multi-source data linkage enhances reliability of population-based cancer survival estimates in a metropolitan Chinese cancer registry. The study's findings have significant public health implications for optimizing cancer patient follow-up strategies in China and other developing countries.
SourceHigher Education Press·JournalMalignancy Spectrum·TypeExperimental study·DateOct 12, 2024
Researchers develop stable COFs with chiral crown ethers for efficient separation of racemates via CEC. The frameworks demonstrate excellent stability and accessibility to analytes.
SourceScience China Press·JournalNational Science Review·DateOct 12, 2024
A neural network-based method was developed to improve the accuracy of single-path tunable diode laser absorption spectroscopy. The method overcomes baseline errors that distort absorbance measurements, enabling accurate temperature and component concentration distribution measurements in advanced combustion systems.
SourceHefei Institutes of Physical Science, Chinese Academy of Sciences·JournalFuel·DateOct 12, 2024
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Researchers develop a novel approach to achieve perfect ion-sieving and superfluidity properties in top anode membranes, eliminating dendrite growth and side reactions. The bioinspired membrane enables ultrafast ion flux and regulated ion selectivity, improving battery performance and lifespan.
SourceScience China Press·JournalNational Science Review·DateOct 12, 2024
Researchers developed a neural network-based decoupling algorithm to resolve spectral interference in gas absorption spectra, improving the detection of multiple gases. The new method simplifies design and reduces cost without requiring additional hardware.
SourceHefei Institutes of Physical Science, Chinese Academy of Sciences·JournalACS Sensors·DateOct 12, 2024
A novel approach has improved the electrochemical performance of direct ammonia protonic ceramic fuel cells by introducing a CeO2-supported Ni and Ru catalyst layer. The study demonstrates enhanced performance and reduced degradation rates at various temperatures, paving the way for more efficient energy conversion systems.
SourceHigher Education Press·JournalFrontiers in Energy·TypeExperimental study·DateOct 12, 2024