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Characterization and quantification of iron species in the banded iron formations (BIFs) in China Craton to explore the potential for H2 production using XRD and Mössbauer spectroscopy.
PLoS One
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Ocean Georesources Research Department, Korea Institute of Ocean Science and Technology, Busan, Republic of Korea.
Banded iron formations (BIFs), significant iron ore deposits formed approximately 2.3 billion years ago under low-oxygen conditions, have recently gained attention as potential geological sources for evaluating hydrogen (H₂) production. BIFs are characterized by high concentrations of iron oxide (20 to 40 wt.
View Article and Find Full Text PDFHypertension is a critical risk factor and cause of mortality in cardiovascular diseases, and it remains a global public health issue. Therefore, understanding its mechanisms is essential for treating and preventing hypertension. Gene expression data is an important source for obtaining hypertension biomarkers.
View Article and Find Full Text PDFDetachable Top Electrode-Organic Photodetector for Repeated Nondestructive Evaluation of Device Performance and Surface Analysis of the Active Layer.
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Department of Electrical Engineering and Information Systems, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan.
Organic photodetectors (OPDs) are key devices for monitoring vital signs, such as heart rate and blood oxygen level. For realizing the long-term measurement of biosignals, stable operation is essential. To improve the stability of OPDs, it is important to analyze each layer to understand the degradation mechanism.
View Article and Find Full Text PDFBuffExDb: web-based tissue-specific gene expression resource for breeding and conservation programmes in Bubalus bubalis.
Database (Oxford)
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Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, PUSA, New Delhi 110012, India.
Amidst the global challenge of extreme poverty, the livestock sector can significantly contribute to global sustainable development goals by enhancing resilience, smallholder productivity, and market participation. The Indian livestock sector is one of the largest in the world with a total livestock population of 535.82 million, ∼10.
View Article and Find Full Text PDFSelf-Adaptive Quantum Kernel Principal Component Analysis for Compact Readout of Chemiresistive Sensor Arrays.
Adv Sci (Weinh)
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Data61, CSIRO, Clayton, VIC, 3168, Australia.
The rapid growth of Internet of Things (IoT) devices necessitates efficient data compression techniques to manage the vast amounts of data they generate. Chemiresistive sensor arrays (CSAs), a simple yet essential component in IoT systems, produce large datasets due to their simultaneous multi-sensor operations. Classical principal component analysis (cPCA), a widely used solution for dimensionality reduction, often struggles to preserve critical information in complex datasets.
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