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Record W35925405 · doi:10.1007/s00441-022-03673-2

Detection and Mapping of Phragmites australis using High Resolution Multispectral and Hyperspectral Satellite Imagery

2012· article· en· W35925405 on OpenAlexfundno aff
Nicholas Lantz

Bibliographic record

VenueCell and Tissue Research · 2012
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsHyperspectral imagingRemote sensingMultispectral imageSatellitePhragmitesSatellite imageryHigh resolutionEnvironmental scienceGeographyGeologyWetlandEcologyEngineering

Abstract

fetched live from OpenAlex

The peri-tooth root alveolar loss often does not have sufficient space for repair material transplantation and plasticity. Mesenchymal stem cell (MSC) sheets have an advantage in providing more extracellular matrix (ECM) and may prove to be a new therapeutic consideration for this bone defect repair. The identification of key regulators that stimulate MSCs' osteogenic potential and sheet-derived ECM deposition is the key to promoting its application. In this study, we found that inhibition or overexpression of miR-196a-5p led to a decline or enhancement, respectively, in the alkaline phosphatase (ALP) activity, mineralization, and the levels of osteogenic markers, Osteocalcin (OCN), Dentin Matrix Protein 1 (DMP1), Bone Sialoprotein (BSP), and Dentin Sialophosphoprotein (DSPP) of Wharton's jelly of umbilical cord stem cells (WJCMSCs) in vitro. Moreover, the 5,6-Carboxyfluorescein Diacetate Succinimidyl Ester (CFSE) analysis revealed inhibition of the WJCMSCs' proliferative ability upon miR-196a-5p overexpression. Characterization of the sheet formation by picrosirius red and Masson staining indicated that miR-196a-5p overexpression significantly promoted the collagen content in whole WJCMSC sheet-derived ECM. Furthermore, micro-CT and histopathology results indicated that the miR-196a-5p-overexpressed WJCMSC sheets significantly promoted new bone regeneration and rat calvarial bone defect closure 12 weeks following transplantation. The mRNA microarray analysis of miR-196a-5p-overexpressed WJCMSCs revealed 959 differentially expressed genes (DEGs) (34 upregulated and 925 downregulated). Moreover, 241 genes targeted by miR-196a-5p were predicted by using miRNA function websites of which only 19 predicted genes were consistent with the microarray revealed DEGs. Hence, one unrevealed downregulated DEG Serpin Family B Member 2 (SERPINB2) was investigated. And the deletion of SERPINB2 enhanced the ALP activity and mineralization of WJCMSCs in vitro. In conclusion, our study found that miR-196a-5p, as a key regulator, could repress the proliferation tendency, while stimulating osteogenic ability and WJCMSC sheet-derived ECM deposition, thus promoting new bone formation and rat calvarial bone defect closure. Furthermore, SERPINB2 is a key downstream gene involved in the miR-196a-5p-promoted WJCMSC osteogenesis.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.066
GPT teacher head0.311
Teacher spread0.245 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2012
Admission routes1
Has abstractyes

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