Crucial Role of High Quality Biosamples in Biomarker Development

Stumptner, Cornelia; Sargsyan, Karine; Kungl, Penelope; Zatloukal, Kurt

doi:10.1201/9780429202872-14

Cited by 3 publications

(1 citation statement)

References 1 publication

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“…In the process of data collection for sustainable development prediction, due to management and other reasons, data have different accuracy [10]. erefore, under the condition that data meet a certain amount, the quality is crucial [11].…”

Section: Indicator Selection and Data Collectionmentioning

confidence: 99%

Research on Sustainable Development Indicator Prediction of Regional Economic Subsystem Based on Artificial Neural Network

Chen

2022

Scientific Programming

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Sustainable development system is a “black box,” or at least a “grey box,” and it is not very clear whether there is a causal relationship between various factors. Artificial neural network can simulate the system realistically. In this paper, the artificial neural network BP model is used as a tool, and Matlab language is used to predict the indexes of regional sustainable development economic subsystem. Through data collection, network structure model design, program design, and network training, this study drew the indicator forecast chart, analyzes it, and finally puts forward suggestions. The results show that it is feasible to use an artificial neural network to simulate a sustainable economic subsystem.

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Section: Indicator Selection and Data Collectionmentioning

confidence: 99%

Research on Sustainable Development Indicator Prediction of Regional Economic Subsystem Based on Artificial Neural Network

Chen

2022

Scientific Programming

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Management of Next-Generation Sequencing in Precision Medicine

Tan

Neoh

Ang

et al. 2022

Translational Bioinformatics

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Morphological and Tissue Characterization with 3D Reconstruction of a 350-Year-Old Austrian Ardea purpurea Glacier Mummy

Unterberger¹,

Berger

Schirmer

et al. 2023

Biology

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Glaciers are dwindling archives, releasing animal mummies preserved in the ice for centuries due to climate changes. As preservation varies, residual soft tissues may differently expand the biological information content of such mummies. DNA studies have proven the possibility of extracting and analyzing DNA preserved in skeletal residuals and sediments for hundreds or thousands of years. Paleoradiology is the method of choice as a non-destructive tool for analyzing mummies, including micro-computed tomography (micro-CT) and magnetic resonance imaging (MRI). Together with radiocarbon dating, histo-anatomical analyses, and DNA sequencing, these techniques were employed to identify a 350-year-old Austrian Ardea purpurea glacier mummy from the Ötztal Alps. Combining these techniques proved to be a robust methodological concept for collecting inaccessible information regarding the structural organization of the mummy. The variety of methodological approaches resulted in a distinct picture of the morphological patterns of the glacier animal mummy. The BLAST search in GenBank resulted in a 100% and 98.7% match in the cytb gene sequence with two entries of the species Purple heron (Ardea purpurea; Accession number KJ941160.1 and KJ190948.1) and a 98% match with the same species for the 16 s sequence (KJ190948.1), which was confirmed by the anatomic characteristics deduced from micro-CT and MRI.

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Crucial Role of High Quality Biosamples in Biomarker Development

Cited by 3 publications

References 1 publication

Research on Sustainable Development Indicator Prediction of Regional Economic Subsystem Based on Artificial Neural Network

Research on Sustainable Development Indicator Prediction of Regional Economic Subsystem Based on Artificial Neural Network

Management of Next-Generation Sequencing in Precision Medicine

Morphological and Tissue Characterization with 3D Reconstruction of a 350-Year-Old Austrian Ardea purpurea Glacier Mummy

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