Using the Spanish Verb Tomar

To say that the Spanish verb tomar means to take isnt doing the word justice. Although it can usually be translated that way, it actually has a wide variety of meanings and is used in all sorts of expressions. Thus, like with some other common verbs, you need to pay attention to context when translating tomar. It generally isnt all that difficult figuring out what the verb means, as long as you realize that it usually conveys the idea of taking something or taking something in. What is a bit more difficult is knowing when to use it when speaking Spanish; it isnt always appropriate to use tomar when you mean to take. One quality of tomar, however, is helpful: It is one of the most common verbs that is conjugated regularly. Meanings of Tomar Here are some of common meanings of tomar with sample sentences. Note that meanings often overlap. If you choose something to eat, for example, you might translate tomar as either to choose or to eat, depending on which sounds more natural in the context. To Take Physical Possession Tomà ³ el libro y volvià ³ a su habitacià ³n. (He took the book and returned home.)Toma mi mano y camina conmigo. (Take my hand and walk with me.)Los campesinos tomaron como rehà ©n al gerente. (The farmworkers seized the manager as hostage.) To Choose Habà ­a muchas. Tomà © el azul. (There were many of them. I picked the blue one.)Mi filosofà ­a es tomar lo difà ­cil como un reto. (My philosophy is to choose what is difficult as a challenge.) To Eat or Drink Tomo cafà © como parte del desayuno en mi programa de dieta. (I drink coffee as part of breakfast for my diet)El segundo dà ­a tomaron una sopa de pollo. (The second day they had chicken soup.) To Use a Form of Transportation Tomemos un taxi. (Lets take a taxi.)Cuando tomo el metro tardo hasta 45 minutos. (When I use the subway Im as much as 45 minutes late.)No quiero tomar el autopista. (I dont want to go on the freeway.) To Take Medicine Recomendamos que tome ambas pà ­ldoras a la vez. (We recommend that you take both pills at the same time.)Es necesario que tomes medicina para combatir la infeccià ³n. (It is necessary that you take medicine to fight the infection.) To Interpret Something a Certain Way Me tomaron por loco. (They thought I was crazy. They took me for a crazy man.)La mayorà ­a de crà ­ticos se lo tomaron a broma. (Most of the critics took it as a joke.)Le tomaron por espà ­a. (They thought he was a spy.) To Adopt a Course of Action Para demostrar que el cambio era efectivo, se tomaron medidas muy drà ¡sticas. (In order to demonstrate that the change was effective, very drastic measures were taken.)Tomemos un enfoque diferente. (Lets take a different approach.)Viajar no perjudica la salud, si se toman precauciones. (Traveling isnt dangerous to your health, if precautions are taken.)Tomà © la derecha. (I turned to the right.) Using the Reflexive Tomarse The reflexive form, tomarse, is usually used with little or no change in meaning from the nonreflexive form. Sometimes tomarse refers specifically to drinking alcoholic beverages. Tà ³matelo con humor y disfruta el momento. (Take it with a sense of humor and enjoy the moment.)No se tomà ³ toda la cerveza. (He didnt drink all the beer.)Luego, me tomaba un autobà ºs a Panamà ¡. (Later, I took a bus to Panama.) Phrases Using Tomar Additionally, tomar is used in idiomatic phrases. Many of them are equivalent to English phrases using the word take. Here are some of the more common: Tomar apuntes — to take notes (an Anglicism, tomar notas, is heard in some areas).Tomar el control — to take control.Tomar (un) examen — to take a test.Tomar fotos — to take photos (sacar fotos is preferred in some areas).Tomar responsabilidad — to take responsibility.Tomar nota — to take note.Tomar parte — to take part.Tomar la pluma — to begin writing.Tomar el sol — to sunbathe.Tomar tierra — to land (said of aircraft). ¡Tà ³mate esa! — Take that! (said, for example, when hitting someone). Key Takeaways Tomar is a very common verb that carries the idea of taking, although it can be translated in many ways. It often suggests that a choice of some sort was made.Tomar is used in a variety of phrases and idioms.The reflexive form, tomarse, usually has no translatable difference in meaning than the standard form.

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History of China and Japan in the XIX Century - 1901 Words

1. British Merchants were trading opium for chinese tea that was very popular in Britain. But when people in China started getting addicted to opium, they needed more and more. Because of this, it meant losing so much money in trade, which affected their economy. Chinese government officials outlawed opium, executed drug dealers in China, and asked Britain to stop with the trade. But it was helping Britain economically and they insisted that it was the right of free trade. This refusal to eliminate it later led to the Opium War. 2. Lin Zexu argument versus British merchants ideas on importing opium were very different. Seeing how people were becoming addicted to opium and how it was negatively affecting Chinas economy, Lin Zexu, a Chinese government official strongly supported her asking for Britain to prohibit opium trade. In the letter she wrote, she explained how it is a very dangerous drug that was prohibited in Britain and that they should not allow it to be transferred to other countries when they themselves are not allowing it in their own. On the other hand, Britain’s economy was going up, they were gaining money from China and were happy about the increase in power in their country. So when they were asked by China’s government officials to ban it, they were not in to lose profit or the power they had gained. They then used the idea of it being the right of free trade to justify their actions. 3. The Qing Dynasty wasn’t doing well and was getting worseShow MoreRelatedEssay on Imperialism and Colonialism2505 Words   |  11 Pagestime when developed nations were colonizing less developed nations around the 1870s, the age of Imperialism began. 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Privacy Protection for Big Data Linking †Free Samples to Students

Question: Discuss about the Privacy Protection for Big Data Linking. Answer: Introduction Data linking is nothing but a technique which is mainly used for brining various kinds of information at a place from various sources. It is mainly done for creating a new and richer value of dataset (Harmanci and Gerstein 2016). This process mainly involves identification and combination of information for each different source of datasets. The records in the resulting linked datasets generally contain some of the data from each source of datasets. Major of the linking techniques is a combination of records from various datasets if and only if they are from same datasets (McCormack and Smyth 2017). An entity can be easily defined as a person, organization or even a kind of geographic kind of region. In the coming pages of the report an idea has been provided regarding data linking and various kinds of issues in linking of data. An overview has been provided regarding the different approaches made for linking of data management. Linked datasets generally results in creation of opportunities for complex and expanded policies and researches. Data also helps in identification of roles and reduction of neural tube defects like spinal bifida. Data linking techniques can easily have some kinds of combination like same which is considered to be same for person or organization. This term is known as statistical linking (Newbold and Brown 2017). Complex kind of software is mainly used for comparing identifiers like name and time which is present on the records which is present on the datasets. It mainly refers to same kind of entity. If the various kinds of identifiers of the records are used for different database and after that record is linked. Data linking has many kinds of advantages like utilization of information which mainly exists. Making use of data collection is the process of time and expense for collection of whole set of data. It also removes the imposing of extra kinds of questions on various people an d organization for collection of large number of data. There are many ways or methods for linking of data. The most straightforward method or way is the use of unique identifier like tax file number which is mainly used for identity or analyzing the records which is present on each kind of datasets. The key is the creation is making use of identifiable information like name and other kinds of parameters like name and address (Ellefi et al., 2016). Linking generally helps in preserving of privacy because it can replace other kinds of parameters and it also reduces the various kinds of chances of identification. Probabilistic kind of linking can be easily defined as the another kind of option for linking of data. Complex methods and data for sophisticated for data linking can be easily used for achieving high quality of results. Datasets which mainly contains proper kinds of identification information generally needs to handled properly with proper kind of care which is used for identification of person or any kinds of organization. Even in some kinds of identification is generally protected by proper removal of name and address in the original kind of datasets. This ultimately results in spontaneous kinds of identification of person or organization (Achichi et al., 2016). For minimization of various kinds of risk data linking should be only conducted in safe and effective kind of environment which mainly ensures the various kinds of methods which can be used as fit for purpose. Various kinds of techniques like confidentiality and statistical disclosure of data can be used for managing the privacy risk which is mainly associated for linking of data. If a project on data linking is generally involved on commonwealth datasets. It is mainly used for statistical and research purpose which is based on data integr ation involved for commonwealth data which is based on statistical and purpose of research management. Data linkage is nothing but a process which generally brings together two or more kinds of data from different kinds of organization. It is again used for production of information that can be again used for research and various kinds of statistical related information (Shen, Wang and Han 2015). This ultimately led to analyzing the true value of data which is realized. It is an important point to understand that datasets from various organization are connected together on a large basis. Various kinds of Issues in linking One of the biggest issue in linking of data is the low level of operation of integration between user interface and data which is underlying in it (Mittelstadt and Floridi 2016). This ultimately relates to the fact data consumption is not considered to be direct and it needs to converted and remodeled. This mainly focus on the two section of issues in heterogonous kind of data. It focuses on quickly looking into the browser or visual kinds of views on wide range of various kinds of models. It focuses on suitable tools which is used for efficient kind of aggregation and presentation of data so that it can focus on multiple datasets. Our data consumers have a partial kind of knowledge about the domain and have found it difficult for understanding the various domains and data which is being modelled. There are many kinds of issues in linking of data like data availability and accessibility for research and development of policy. There are large number of impacts on adaptation for timely and cost-effective way of linking of data. A lack of streamlined process also results in contribution of insufficient process for accessing of data (Xu et al., 2016). There are large of research which is ongoing for accessing of data once it has been properly linked. Perturbation of noise generally adds data so there are some kinds of risk re-identification of data within provided limits. This technique mainly retains the property which is mainly used for analysis of data and requires certain number of analyst for adding noise for measurement of model (Supovitz and Sirinides 2018). Synthetic data generally allows various kinds of r esearchers for exploration of modelling based strategies for analyzing of original kind of data and other kinds of model estimation of data. The requirement of balancing of both privacy and quality of linked data is considered to be priority for various kinds of research which is totally based on data linkage methods (Demchenko, De Laat and Membrey 2014). Developing kinds of methods is mainly used for biasing of risk which is used for linkage of error which is considered to be a vital compound where data is required to be used before linkage. Overcoming the gap which is present in linkage and analysis is considered to be a major kind of challenge in area of linking of various kinds of linkage quality. Conclusion From the above discussion it can be concluded that this report is all about data linking. An idea has been provided regarding combination of records for various kinds of data which is generally sourced from various kinds of source. In the discussion portion of the report an idea has been provided data linking and various kinds of issues has been discussed which is generally encountered in linking. Linking of data has many kinds of advantages like making use of information. A recommendation has been provided regarding various kinds of issues which can be used for minimization of risk. It mainly focuses safe and effective kind of environment which makes use of certain number of methods. Confidentiality and disclosure of data techniques are mainly used for managing the various kinds of risk. Various kinds of issues which can be encountered in linking of data has been discussed. References Achichi, M., Ellefi, M.B., Symeonidou, D. and Todorov, K., 2016, November. Automatic key selection for data linking. InEuropean Knowledge Acquisition Workshop(pp. 3-18). Springer, Cham. Demchenko, Y., De Laat, C. and Membrey, P., 2014, May. Defining architecture components of the Big Data Ecosystem. InCollaboration Technologies and Systems (CTS), 2014 International Conference on(pp. 104-112). IEEE. Ellefi, M.B., Bellahsene, Z., Dietze, S. and Todorov, K., 2016, May. Dataset recommendation for data linking: an intensional approach. InInternational Semantic Web Conference(pp. 36-51). Springer, Cham. Harmanci, A. and Gerstein, M., 2016. Quantification of private information leakage from phenotype-genotype data: linking attacks.Nature methods,13(3), p.251. McCormack, K. and Smyth, M., 2017. Privacy Protection for Big Data Linking using the Identity Correlation Approach.Journal of Statistical Science and Application,5, pp.81-90. Mittelstadt, B.D. and Floridi, L., 2016. The ethics of big data: Current and foreseeable issues in biomedical contexts.Science and Engineering Ethics,22(2), pp.303-341. Newbold, K.B. and Brown, W.M., 2017. Human Capital Research in an Era of Big Data: Linking People with Firms, Cities and Regions. InRegional Research Frontiers-Vol. 1(pp. 317-328). Springer, Cham. Shen, W., Wang, J. and Han, J., 2015. Entity linking with a knowledge base: Issues, techniques, and solutions.IEEE Transactions on Knowledge and Data Engineering,27(2), pp.443-460. Supovitz, J. and Sirinides, P., 2018. The linking study: An experiment to strengthen teachers engagement with data on teaching and learning.American Journal of Education,124(2), pp.000-000. Xu, F., Li, Y., Chen, M. and Chen, S., 2016. Mobile cellular big data: Linking cyberspace and the physical world with social ecology.IEEE network,30(3), pp.6-12.