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But the much more particular final results are in conditions of [https://www.mobilegrowsystem.com/ Mobile Grow System site] countries and industries, the more careful must the reader be about the nature of the information described.This part describes the indicators in a non-complex way visitors interested in the technical details can study Annex 1 that includes much more details on the methodology. Tiny open up economies this kind of as Luxembourg, the Czech Republic and Slovak Republic resource much more inputs from abroad in GVCs than massive international locations, this kind of as the United States or Japan .The participation index, even so, is significantly less correlated with the dimension of nations around the world than the import articles of exports, given that it also seems forward at the use of inputs in third international locations. For example, the foreign material of US exports is about 15% although US participation in GVCs rises to 40% when using into account the use of US intermediates in other countries€™ exports. Evaluating OECD and non-OECD economies , the participation in GVCs is of a equivalent magnitude in the two teams of nations. Massive economies, these kinds of as Brazil or India, have a lower share of exports created of inputs taking part in vertical trade, as opposed to small economies, this kind of as Singapore or Chinese Taipei. But Figure two only includes emerging economies the participation in GVCs would be reduce for minimum created nations around the world if information have been available to consist of them in the international input-output product.Even though the imported overseas inputs in countries€™ possess exports and the domestically-developed intermediates employed in 3rd-countries€™ exports give an thought of the importance of vertical specialisation, they do not show how €œlong worth chains are, i.e. how a lot of generation levels are associated. For example, a large VS share could correspond to the use of costly raw components in a quite simple price chain, even though conversely a high VS1 share could be additional in a single go at the closing phase of the manufacturing approach. This is why an sign on the length€ of GVCs would be helpful and complementary. In the literature, the duration of GVCs has been assessed by means of the average propagation length, an indicator rising from enter-output examination . In this section we refer to a less complicated index, released far more recently in the trade literature . The index takes the price of one if there is a solitary manufacturing stage in the last market and its value raises when inputs from the same business or other industries are utilised, with a weighted common of the length of the manufacturing associated in these sectors.As we have info on international and domestic inputs, we can recognize the domestic and worldwide part of the value chain.The domestic length has remained almost unchanged all the improve is described by the intercontinental portion of the price chain. In this latter case, the GVC point of view back links [https://www.mobilegrowsystem.com/LED-Grow-Light-pl3055843.html LED Grow Light site] agriculture to downstream pursuits in what can be called the agri-food business€.This is why the adhering to investigation addresses each agriculture and the food and beverage business.The agri-foods industry is more and more structured around international benefit chains led by foods processors and merchants.
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Given this anatomical framework we are building the OCDM
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Personal ontologies. Offered this anatomical framework we're creating the OCDM by 1st enhancing the FMA to provide detail on both adult and developmental craniofacial anatomy as required by a series of use situations (described within the next section) that we've elicited from craniofacial researchers. We then extract a view (or "slim" in GO terms) [Gene Ontology Consortium, 2013] of just the craniofacial elements on the FMA required to make the canonical craniofacial human sub-ontology (CHO), and make use of this view as a template for developing other OCDM elements (or sub-ontologies) coping with human malformations, typical and abnormal mouse improvement and malformations, and mappings amongst homologous anatomical structures in human and mouse. Our present concentrate is on human and mouse, and a equivalent strategy of mapping to canonical human anatomy as the fundamental organizing principle may be used with other relevant model organisms. Content [https://www.medchemexpress.com/Asciminib.html Asciminib Bcr-Abl] creation for the OCDM is accomplished in the Prot ?ontology authoring tool [Gennari et al., 2003], and is produced obtainable as a semantic internet service [McIlraith et al., 2001], which makes it possible for the ontology to become queried by end-user applications. Whereas the OCDM content material as well as the net solutions are "under-the-hood", of interest mainly to ontology authors, it can be the enduser applications that will offer the functionality and graphical interfaces that allow craniofacial researchers to make use of the OCDM in their own operate. In the following sections we offer a lot more detail around the use instances, the current OCDM content, instance queries that can presently be answered by the OCDM, as well as a prototype application that accesses the OCDM via the net service.Use CasesThe improvement of your OCDM is informed by a series of use situations, exactly where for our purposes a "use case" is often a activity or set of tasks that a craniofacial researcher would carry out in their function, and that would make use of the OCDM. Primarily based each on our practical experience in constructing the FaceBase Hub and on input from craniofacial researchers inside the consortium, these use instances describe tasks and scenarios that may possibly use OCDM-based descriptions to assistance data navigation, exploration, and interpretation. Every single use case is characterized by a description, a list of prospective users (e.g. clinician, researcher), a list of tasks that must be achieved to implement the use case, a list of information requirements that really should be met by the ontology, the information or each; as well as a list of userAm J Med Genet C Semin Med Genet. Author manuscript; available in PMC 2014 June 02.Brinkley et al.Pageinterface concerns that have to be addressed so that you can make the implemented use case accessible to craniofacial researchers. Present use situations are organized in 5 categories ?visualization, annotation, searching/browsing, gene expression show, and analytics (Table 1). As one distinct instance Table two describes the use case, Discovering structures associated with syndromes, that is classified beneath "Searching/Browsing". In this scenario, a user is thinking about locating relevant clinical or standard research data that may be relevant to Apert syndrome. As opposed to obtaining to tediously search by way of the literature or on the internet databases the user in this scenario would merely sort "Apert Syndrome" into a user interface.

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Given this anatomical framework we are building the OCDM Personal ontologies. Offered this anatomical framework we're creating the OCDM by 1st enhancing the FMA to provide detail on both adult and developmental craniofacial anatomy as required by a series of use situations (described within the next section) that we've elicited from craniofacial researchers. We then extract a view (or "slim" in GO terms) [Gene Ontology Consortium, 2013] of just the craniofacial elements on the FMA required to make the canonical craniofacial human sub-ontology (CHO), and make use of this view as a template for developing other OCDM elements (or sub-ontologies) coping with human malformations, typical and abnormal mouse improvement and malformations, and mappings amongst homologous anatomical structures in human and mouse. Our present concentrate is on human and mouse, and a equivalent strategy of mapping to canonical human anatomy as the fundamental organizing principle may be used with other relevant model organisms. Content Asciminib Bcr-Abl creation for the OCDM is accomplished in the Prot ?ontology authoring tool [Gennari et al., 2003], and is produced obtainable as a semantic internet service [McIlraith et al., 2001], which makes it possible for the ontology to become queried by end-user applications. Whereas the OCDM content material as well as the net solutions are "under-the-hood", of interest mainly to ontology authors, it can be the enduser applications that will offer the functionality and graphical interfaces that allow craniofacial researchers to make use of the OCDM in their own operate. In the following sections we offer a lot more detail around the use instances, the current OCDM content, instance queries that can presently be answered by the OCDM, as well as a prototype application that accesses the OCDM via the net service.Use CasesThe improvement of your OCDM is informed by a series of use situations, exactly where for our purposes a "use case" is often a activity or set of tasks that a craniofacial researcher would carry out in their function, and that would make use of the OCDM. Primarily based each on our practical experience in constructing the FaceBase Hub and on input from craniofacial researchers inside the consortium, these use instances describe tasks and scenarios that may possibly use OCDM-based descriptions to assistance data navigation, exploration, and interpretation. Every single use case is characterized by a description, a list of prospective users (e.g. clinician, researcher), a list of tasks that must be achieved to implement the use case, a list of information requirements that really should be met by the ontology, the information or each; as well as a list of userAm J Med Genet C Semin Med Genet. Author manuscript; available in PMC 2014 June 02.Brinkley et al.Pageinterface concerns that have to be addressed so that you can make the implemented use case accessible to craniofacial researchers. Present use situations are organized in 5 categories ?visualization, annotation, searching/browsing, gene expression show, and analytics (Table 1). As one distinct instance Table two describes the use case, Discovering structures associated with syndromes, that is classified beneath "Searching/Browsing". In this scenario, a user is thinking about locating relevant clinical or standard research data that may be relevant to Apert syndrome. As opposed to obtaining to tediously search by way of the literature or on the internet databases the user in this scenario would merely sort "Apert Syndrome" into a user interface.