11 research outputs found

    Persona and caput habere: on the Issue of the Legal Nature and the Grounds of Origination in the Roman and Modern Civill Law

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    Π’ ΡΡ‚Π°Ρ‚ΡŒΠ΅ рассматриваСтся катСгория ΠΏΡ€Π°Π²ΠΎΡΡƒΠ±ΡŠΠ΅ΠΊΡ‚Π½ΠΎΡΡ‚ΠΈ. Π˜Π·ΡƒΡ‡Π°Π΅Ρ‚ΡΡ вопрос ΠΎ Ρ‚ΠΎΠΌ, Ρ‡Ρ‚ΠΎ прСдставляСт собой Ρ€ΠΎΠΆΠ΄Π΅Π½ΠΈΠ΅ ΠΊΠ°ΠΊ биологичСский Π°ΠΊΡ‚ ΠΈ ΡŽΡ€ΠΈΠ΄ΠΈΡ‡Π΅ΡΠΊΠΈΠΉ Ρ„Π°ΠΊΡ‚, ΠΏΠΎΡ€ΠΎΠΆΠ΄Π°ΡŽΡ‰ΠΈΠΉ ΠΏΡ€Π°Π²ΠΎΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡ‚ΡŒ физичСского Π»ΠΈΡ†Π°. In the article the category of legal personality is considered. The question about essence of birth as biological act and jural fact, which caused legal capacity of natural person, is studied

    Mechanisms of Oxygen Taxis in Bacteria

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    Real-time fMRI data for testing OpenNFT functionality

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    Here, we briefly describe the real-time fMRI data that is provided for testing the functionality of the open-source Python/Matlab framework for neurofeedback, termed Open NeuroFeedback Training (OpenNFT, Koush et al. [1]). The data set contains real-time fMRI runs from three anonymized participants (i.e., one neurofeedback run per participant), their structural scans and pre-selected ROIs/masks/weights. The data allows for simulating the neurofeedback experiment without an MR scanner, exploring the software functionality, and measuring data processing times on the local hardware. In accordance with the descriptions in our main article, we provide data of (1) periodically displayed (intermittent) activation-based feedback; (2) intermittent effective connectivity feedback, based on dynamic causal modeling (DCM) estimations; and (3) continuous classification-based feedback based on support-vector-machine (SVM) estimations. The data is available on our public GitHub repository: https://github.com/OpenNFT/OpenNFT_Demo/releases

    Extraction-free whole transcriptome gene expression analysis of FFPE sections and histology-directed subareas of tissue.

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    We describe the use of a ligation-based targeted whole transcriptome expression profiling assay, TempO-Seq, to profile formalin-fixed paraffin-embedded (FFPE) tissue, including H&E stained FFPE tissue, by directly lysing tissue scraped from slides without extracting RNA or converting the RNA to cDNA. The correlation of measured gene expression changes in unfixed and fixed samples using blocks prepared from a pellet of a single cell type was R2 = 0.97, demonstrating that no significant artifacts were introduced by fixation. Fixed and fresh samples prepared in an equivalent manner produced comparable sequencing depth results (+/- 20%), with similar %CV (11.5 and 12.7%, respectively), indicating no significant loss of measurable RNA due to fixation. The sensitivity of the TempO-Seq assay was the same whether the tissue section was fixed or not. The assay performance was equivalent for human, mouse, or rat whole transcriptome. The results from 10 mm2 and 2 mm2 areas of tissue obtained from 5 ΞΌm thick sections were equivalent, thus demonstrating high sensitivity and ability to profile focal areas of histology within a section. Replicate reproducibility of separate areas of tissue ranged from R2 = 0.83 (lung) to 0.96 (liver) depending on the tissue type, with an average correlation of R2 = 0.90 across nine tissue types. The average %CVs were 16.8% for genes expressed at greater than 200 counts, and 20.3% for genes greater than 50 counts. Tissue specific differences in gene expression were identified and agreed with the literature. There was negligible impact on assay performance using FFPE tissues that had been archived for up to 30 years. Similarly, there was negligible impact of H&E staining, facilitating accurate visualization for scraping and assay of small focal areas of specific histology within a section
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