1H High Resolution Magic-Angle Coil Spinning (HR-MACS) µNMR Metabolic Profiling of whole Saccharomyces cervisiae cells: A Demonstrative Study

The low sensitivity of Nuclear Magnetic Resonance (NMR) gymnastics wall decals is its prime shortcoming compared to other analytical methods for metabolomic studies.It relies on large sample volume (30–50 µl for HR-MAS) for rich metabolic profiling, hindering high-throughput screening especially when the sample requires a labor-intensive prepara

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Landscape Aesthetics and the Scenic Drivers of Amenity Migration in the New West: Naturalness, Visual Scale, and Complexity

Values associated with scenic beauty are common “pull factors” for amenity migrants, however the specific landscape features that attract amenity migration are poorly understood.In this study we focused on three visual quality metrics of the intermountain West (USA), with the objective of exploring the relationship between the location of exurb

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Integrating Message Content and Propagation Path for Enhanced False Information Detection Using Bidirectional Graph Convolutional Neural Networks

We investigate the impact of textual content and its structural characteristics on the detection of false information.We propose a Bidirectional Graph Convolutional Neural Network (ICP-BGCN) that gymnastics wall decals integrates message content with its propagation paths for enhanced detection performance.Our approach leverages web propagation top

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Biophysical and textural attributes as selection indices for replacing the adopted cassava variety with the improved genotype to produce fufu

The use of the biophysical and textural qualities of rubbermaid 8 gallon trash can fufu to choose the possible substitution of an adopted cassava variety (TMEB419-V1) with improved genotypes from the breeding program was assessed in this study.Standard methods were used for the biophysical and textural attributes of the fufu produced from different

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