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http://dx.doi.org/10.1007/s12032-016-0792-2 | DOI Listing |
Nat Commun
January 2025
Key Laboratory of Luminescence and Optical Information, Ministry of Education, School of Physical Science and Engineering, Beijing Jiaotong University, Beijing, 100044, China.
Magnetic field effects (MFE) of ferromagnetic spin electrocatalysts have attracted significant attention due to their potential to enhance catalytic activity under an external magnetic field. However, no ferromagnetic spin catalysts have demonstrated MFE in the electrocatalytic reduction of nitrate for ammonia (NORR), a pioneering approach towards NH production involving the conversion from diamagnetic NO to paramagnetic NO. Here, we report the ferromagnetic Fe-TiO to investigate MFE on NORR.
View Article and Find Full Text PDFCell Transplant
January 2025
Department of Hematology, 920th Hospital of Joint Logistics Support Force, Kunming, China.
Donor-specific antibodies (DSAs) are essential causes of graft rejection in haploidentical hematopoietic stem cell transplantation (haplo-HSCT). DSAs are unavoidable for some patients who have no alternative donor. Effective interventions to reduce DSAs are still needed, and the cost of the current therapies is relatively high.
View Article and Find Full Text PDFBMC Genomics
January 2025
Zhanjiang Experimental Station, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang, 524013, China.
Background: The Leizhou Black Goat (LZBG), a prominent breed in tropical China's meat goat industry, frequently exhibits inherent muscle atrophy and malnutrition-related traits. Particularly, muscles critical for support, such as the legs, often display severe symptoms. This study aimed to investigate the differential genes and signaling pathways influencing muscle development and atrophy across various muscle locations in LZBG from a muscular atrophy-affected family.
View Article and Find Full Text PDFSci Rep
January 2025
Chemistry Department, Faculty of Science, Tanta University, Tanta, 31527, Egypt.
Three composites based on Poly (meta-aminophenol) (PmAP), (3-aminopropyl) triethoxysilane (APTES) and graphene oxide (GO) were synthesized with initial GO dispersion of 3.3, 6.6, and 9.
View Article and Find Full Text PDFSci Rep
January 2025
Instituto de Ingeniería Energética, Universitat Politècnica de València, Valencia, Spain.
Reliable prediction of photovoltaic power generation is key to the efficient management of energy systems in response to the inherent uncertainty of renewable energy sources. Despite advances in weather forecasting, photovoltaic power prediction accuracy remains a challenge. This study presents a novel approach that combines genetic algorithms and dynamic neural network structure refinement to optimize photovoltaic prediction.
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