83 research outputs found

    Incremental pattern matching for regular expressions

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    Graph pattern matching lies at the heart of any graph transformation-based system. Incremental pattern matching is one approach proposed for reducingthe overall cost of pattern matching over successive transformations by preserving the matches that stay relevant after a rule application. An important issue in any matching scheme, is the ability to properly and consistently deal with various facilities that add to the expressiveness of a GT-tool’s rule language. One such feature is the support for regular path expressions, which would let two nodes to be consideredas a “match”, if a certain path of edges exists between them. In this paper, the incorporation of regular expression support into incremental pattern matching is discussed within the context of the GROOVE tool set. This includes laying down a formal foundation for incremental pattern matching for regular expressions which is then used to justify the extension proposed to add regular expression support to a well-known pattern matching algorithm

    Comparison of meristic traits in Transcaucasian chub (Squalius turcicus De Filippi, 1865) from Caspian Sea basin

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    For comparison of meristic characters of Squalius turcicus, in 12 rivers of Caspian Sea basin, 535 specimens were captured. Some 14 meristic characters were counted. Classification of meristic characters showed that most specimens of all populations have 8 soft dorsal rays, 9 soft anal rays, 19 branched caudal fin rays, 15 soft pectoral rays, 9 soft pelvic rays, 41-47 lateral line scales, 7-9 scales above LL, 3-5 scales below LL, 18-21 predorsal scales and 14-16 circumpeduncle scales. The results showed significant differences (P<0.05) in means of all meristic characters except dorsal, pelvic and pectoral fin spins between the populations. The PCA and CVA showed overlapping among the populations, although some populations were separated from the others. Also, cluster analysis divided Divandareh River population in a separate group and it was distinct from other populations. Generally, the results of meristic characters cannot well-separate the populations of this species from each other

    A New Study on the Number of Shahnameh’s Verses Another Answer to the Reason for the Difference between the Known Number and the Actual Quantity of Shahnameh

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    From a long time ago until now, with referencing to the common narrations and the three verses attributed to Ferdowsi, Shahnameh has been famous for having sixty thousand or nearly sixty thousand verses; while the number of verses in the oldest manuscripts, as well as valid printed texts, does not exceed fifty thousand verses. The present research seeks to answer the questions such as where, when, and by whom these numbers became popular and how many verses the manuscripts and the famous printed texts have, by separating the fictional sections. This research consists of four parts: 1. Reviewing and criticizing verses related to Ferdowsi about Shahnameh’s verse number. 2. Reviewing various reports on the Shahname’s verse number (Including the quintet introductions of Shahnameh, biographies, historical, literary, geographic, and Rijali (narrator evaluation) resources, and various views of contemporary researchers). 3. Recounting and presenting the exact number of Shahnameh’s verses by fictional parts, based on printed copies of Turner Macan, Julius von Mohl, Berookhim, Dabirsiaghi, Moscow, Kazzazi, Jeyhooni, and Khaleghi. 4. A discussion about semantic significations of the number "Sixty" and "Sixty thousand". The authors assert that the number "Sixty thousand" was not versified by Ferdowsi. But this number was used by the Shahnameh enthusiasts in the late of his life, or a brief time after his passing, with the meaning of "plurality", "perfection", and "approximation" in describing the number of Shahnameh’s verses. Based on the famous narrations, at least starting from the sixth century, verses have been versified about the sixty thousand verses of Shahnameh and are annexed to Shahnameh

    Two Virus-Induced MicroRNAs Known Only from Teleost Fishes Are Orthologues of MicroRNAs Involved in Cell Cycle Control in Humans

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    MicroRNAs (miRNAs) are ~22 base pair-long non-coding RNAs which regulate gene expression in the cytoplasm of eukaryotic cells by binding to specific target regions in mRNAs to mediate transcriptional blocking or mRNA cleavage. Through their fundamental roles in cellular pathways, gene regulation mediated by miRNAs has been shown to be involved in almost all biological phenomena, including development, metabolism, cell cycle, tumor formation, and host-pathogen interactions. To address the latter in a primitive vertebrate host, we here used an array platform to analyze the miRNA response in rainbow trout (Oncorhynchus mykiss) following inoculation with the virulent fish rhabdovirus Viral hemorrhagic septicaemia virus. Two clustered miRNAs, miR-462 and miR-731 (herein referred to as miR-462 cluster), described only in teleost fishes, were found to be strongly upregulated, indicating their involvement in fish-virus interactions. We searched for homologues of the two teleost miRNAs in other vertebrate species and investigated whether findings related to ours have been reported for these homologues. Gene synteny analysis along with gene sequence conservation suggested that the teleost fish miR-462 and miR-731 had evolved from the ancestral miR-191 and miR-425 (herein called miR-191 cluster), respectively. Whereas the miR-462 cluster locus is found between two protein-coding genes (intergenic) in teleost fish genomes, the miR-191 cluster locus is found within an intron of a protein-coding gene (intragenic) in the human genome. Interferon (IFN)-inducible and immune-related promoter elements found upstream of the teleost miR-462 cluster locus suggested roles in immune responses to viral pathogens in fish, while in humans, the miR-191 cluster functionally associated with cell cycle regulation. Stimulation of fish cell cultures with the IFN inducer poly I:C accordingly upregulated the expression of miR-462 and miR-731, while no stimulatory effect on miR-191 and miR-425 expression was observed in human cell lines. Despite high sequence conservation, evolution has thus resulted in different regulation and presumably also different functional roles of these orthologous miRNA clusters in different vertebrate lineages

    COVID-19 related stigma among the general population in Iran

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    Funding Information: GT is supported by the National Institute for Health Research (NIHR) Applied Research Collaboration South London at King’s College London NHS Foundation Trust, and by the NIHR Asset Global Health Unit award. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health and Social Care. GT is also supported by the Guy’s and St Thomas’ Charity for the On Trac project (EFT151101), and by the UK Medical Research Council (UKRI) in relation to the Emilia (MR/S001255/1) and Indigo Partnership (MR/R023697/1) awards. Publisher Copyright: © 2022, The Author(s).Peer reviewedPublisher PD

    Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017

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    A double burden of malnutrition occurs when individuals, household members or communities experience both undernutrition and overweight. Here, we show geospatial estimates of overweight and wasting prevalence among children under 5 years of age in 105 low- and middle-income countries (LMICs) from 2000 to 2017 and aggregate these to policy-relevant administrative units. Wasting decreased overall across LMICs between 2000 and 2017, from 8.4% (62.3 (55.1–70.8) million) to 6.4% (58.3 (47.6–70.7) million), but is predicted to remain above the World Health Organization’s Global Nutrition Target of <5% in over half of LMICs by 2025. Prevalence of overweight increased from 5.2% (30 (22.8–38.5) million) in 2000 to 6.0% (55.5 (44.8–67.9) million) children aged under 5 years in 2017. Areas most affected by double burden of malnutrition were located in Indonesia, Thailand, southeastern China, Botswana, Cameroon and central Nigeria. Our estimates provide a new perspective to researchers, policy makers and public health agencies in their efforts to address this global childhood syndemic
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