What Are Endangered Species

Throughout the history of life on earth, species have appeared, evolved, given rise to new species, and disappeared. This turnover of species is part of the natural process of life and it is going on all the time. Extinction is an inevitable, expected part of the cycle. Yet today we face a period of intensified extinction (some experts call it a mass extinction). And most of these extinctions can be connected to the actions of just one species: human beings. Humans have caused significant, widespread changes in natural environments around the globe and have introduced a variety of threats to wildlife including habitat destruction, climate change, disruption by invasive species, hunting, and poaching. As a result of these pressures, many species around the world are experiencing drastic population declines. Endangered Species Versus  Threatened Species: Some Definitions Scientists and conservationists who study the animal species that face a high risk of extinction refer to such species as endangered species. Heres a formal definition of the term endangered species: An endangered species is a native species that faces a significant risk of extinction in the near future throughout all or a significant portion of its range. Endangered species may be declining in number due to threats such as habitat destruction, climate change, or pressure from invasive species. Another frequently used term is threatened species. In some instances, the terms threatened species and endangered species are used interchangeably, but for clarity, it often helps to define threatened species slightly differently. Heres a definition of the term threatened species: A threatened species is a native species that is at risk of becoming endangered in the near future. A threatened species may have a declining population or be exceptionally rare. Like endangered species, the cause of its rarity is variable, but may be due to threats such as habitat destruction, climate change, or pressure from invasive species. General and Regulatory Contexts: Some Important Differences The term endangered species can be used either in a general or a regulatory context. When used in a general context, the term describes a species that faces a risk of extinction but does not necessarily indicate that the species is protected under any law. When used in a regulatory context, the term refers to a species that is listed on the US Endangered Species List and is defined as an animal or plant species in danger of extinction throughout all or a significant portion of its range. Another regulatory context in which the term endangered species is used is by the International Union for the Conservation of Nature (IUCN). The IUCN is an international organization that supports conservation and sustainable use of natural resources. The IUCN maintains a comprehensive list of species called the IUCN Red List. The Red list classifies animals into one of nine groups based on their conservation status. These include: Least concern - Species in this group face no immediate risk of extinction.Near-threatened - Species in this group might become threatened in the near future.Vulnerable - Species in this group face a high risk of extinction in the medium term.Endangered - Species in this group face a very high risk of extinction in the near future.Critially endangered - Species in this group face an extremely high risk of extinction in the immediate future.Extinct in the wild - Species in this group survive in captivity only. There are no natural, wild populations that remain.Extinct - Species in this group are extinct in the wild and in captivity. You might notice in the above list that there are several terms that the IUCN uses which provide additional ways of describing endangered species (for example, threatened species, vulnerable species, critically endangered species, and near-threatened species). The number of different terms the IUCN uses to classify endangered species highlights the varying degree to which species might be threatened at any point in time. This enables scientists and conservationists to describe the degree to which a species is in danger of going extinct and to focus their research and fine tune their conservation actions for a particular species. It also allows scientists a way of flagging species that are slipping in the wrong direction. For instance, the IUCN statuses enable scientists to flag species that are experiencing a decline, such as becoming near-threatened after previously being of least concern. Frequently Asked Questions The following frequently asked questions provide you with additional information about endangered species and some of the regulations that surround these rare species. What is the US Endangered Species Act?  The US Endangered Species Act (ESA) was signed into law by President Nixon in December, 1973. The ESA protects plant and animal species and is jointly administered by the US Fish and Wildlife Service and NOAA Fisheries. Its aim is twofold: to provide protection for species that are in danger of extinction and to conserve the habitats on which those species depend.Where can I obtain a copy of the US Endangered Species Act?  If youre interested in reading the text of the ESA, you can obtain a PDF version of the US Endangered Species Act from the US Fish and Wildlife Service website  here.How are rare animals added to the Endangered Species List?  The US Government uses a formal series of steps when considering requests for a species to be added to the list of threatened or endangered species and protected under the Endangered Species Act.What animals are listed on the Endangered Species List?  You can find the most up-to-date informatio n about endangered species listings at the  Threatened and Endangered Species System (TESS)  website, maintained by the US Fish and Wildlife Service and NOAA.What endangered animals are in my state?  It is always wise to support conservation efforts close to home, so knowing what endangered species are in your state is a vital step towards protecting the rare wildlife in your area. Most states have their own endangered species acts and lists to support them, in addition to the Federal list and law. So you may want to do a web search for your states endangered species legislation to find out more.What can I do to help protect endangered species?  In the midst of todays rapid depletion of habitat and strain on wild populations of many groups of animals, we find many species that are in threat of extinction. To find out more about what you can do, see:  Things You Can Do To Protect Wildlife.

Cultural Assessment Tools And Organizational Culture

Introduction Corporate culture is an intricate component of an organizations identity. Fortune 500 corporations have used corporate culture as a trademark. Best Buy, a leading electronics corporation, leverages its brand by promoting the â€Å"Geek Squad.† Walmart Corporation requires all associates to dress in dark blue shirts and beige slacks. This document will discuss cultural assessment tools used in assessing organizational culture and gaps within formal groups, leadership styles and techniques that influence social culture and diversity within formal workgroups, description of social culture that influence productivity within diverse workgroups and social culture and diversity of formal group members and the influence on organizational culture. The document will conclude with a summary of this discussion. Cultural Assessment Tools In the study of humanities, cultural assessment analyzes the subtle meaning of text, images, codes, beliefs and behaviors of a social group or community. However, it does not confine internal comprehension of the nuances of a culture within cultural norms in diverse work groups. Cultural analysis crosses the boundaries between social disciplines but also between formal and informal cultural activities. The major purpose of cultural analysis is to develop analytical tools for reading and understanding a wide range of cultural practices and forms, past and present. Adaptation and Change Global organizational groups are the conduits of developmentShow MoreRelatedDiscussing Cultural Assessment Tools For Organizational Culture And Diversity1027 Words   |  5 Pagesacross Cultures July 13, 2016 Corporate Culture Diversity in the Global Workplace All global organizations must merge diverse workgroups into cohesive, high performance global teams in order to adapt to environmental changes. This document will discuss cultural assessment tools used in assessing organizational culture and gaps within formal groups, leadership styles and techniques that influence social culture and diversity within formal workgroups, description of social culture thatRead MoreCorporate Culture And Diversity At The Global Workplace1145 Words   |  5 PagesCorporate Culture Diversity in the Global Workplace Corporate culture is an intricate component of an organizations identity. Fortune 500 corporations have used corporate culture as a trademark. 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Different Characteristics Of The SQL And Nosql Database - Samples

Question: Discuss about the Different Characteristics Of The SQL And Nosql Database. Answer: Introduction A critical decision that is generally faced by the manufacturing companies that are embarking on a big data project is to identify which database is to be chosen between the SQL and NoSQL database. Therefore, the storage of big data undergoes a critical decision making process that involves evaluation of both the databases in order to select an appropriate one. Although SQL has an impressive record of accomplishment in data storage and data access, NoSQL is making impressive gains as well. SQL is a relational database. It enables a rigid and structured way of storing data, much similar to a phone book. Therefore, in SQL the data is stored in an organized way as a well-designed schema minimizes the redundancy in data. This is a major advantage of SQL. However, SQL is not suitable for storing unstructured data, and here the NoSQL database comes into action (Sharma and Dave 2012). NoSQL database does not contain tables and instead, all the data is stored in a single file. The data can b e easily found but not generally categorized as that of relational database. The report discusses the different characteristics of the SQL and NoSQL database on basic of the data sources, dataset types, organizational readiness and affordability. Database and NoSQL Database: SQL Database SQL or structure query language provides a structured way of storing and retrieving data from a database. It is a more secure option of storing data as it allows only the authorized people to view or access data from the database. The big data type can be structures un-structured and semi structured as well. SQL database generally stores structured Data in form of tables containing rows and columns. NoSQL Database NoSQL is a completely different approach for the database design that accommodates a wide variety of data models, which includes key value document, columnar and graph format as well. Therefore, NoSQL database supports and stores the unstructured data as well unlike the SQL database. NoSQL was build for the purpose of integrating a large scale data base clustering in cloud and web applications. However, with the many benefits offered by the SQL database, there arise some constraints as well. NoSQL is not as secure as SQL and therefore large scale organizations such as Google and Amazon uses NoSQL database for focusing on the narrow operational goals, and use relational database in places where there is a need for high grade data consistency. NoSQL is beneficial in many cases for its ability to process a large amount of data. It is a non-relational database and allows a rapid analysis of large amount of data and disparate data types. Therefore, in course of time, the NoSQL databases h ave become a first alternative of the relational database with variety of advantages that includes scalability, availability and fault tolerance capability. The NoSQL database has therefore provided a number of competitive advantages in the different manufacturing industries. There are different types of NoSQL database, which includes the Graph database, key value store database, column store database and document database. The major reason for many business and manufacturing industries to adopt a NoSQL database over a relational database is the benefits it offers, which includes high velocity data processing, variety of data, capability of storing and processing a large volume of data and the capability of managing the data complexity (Hammes, Medero and Mitchell 2014). Furthermore, since the NoSQL environment are built in a distributed architecture the chances of downtime or failure is negligible. Data Sources and Dataset Types Involved in Big data The data sources are wide that includes public web, media, social media, data storage, sensor data, archives and so on. The public web data consists of government, weather, traffic, economic, census and similar data that are collected in a huge amount every day. Data related to media consist of images, videos, audios and other media files. Another huge source of data includes the data collected from different social media on a daily basis. The data storage consists of information stored on the different databases (Roijackers and Fletcher 2012). Collection of these data is important to understand the trends and target audience of the manufacturing industries. However, the collection of data for It can be collected from everywhere and helps different organizations and industries in many different ways. The huge size of the data makes it impossible for the big data to be managed by the traditional data tools. Therefore, need and evaluation of a proper database is essential for proper st orage and access of big data. Both SQL and NoSQL database can be effectively used for data storage and therefore it becomes difficult for the manufacturing companies to decide which database to choose. Few companies are better suited for using the SQL database if the primary criterion of the data security is its protecting the privacy and the confidentiality of the data (Li and Manoharan 2013). However, since the NoSQL is a hybrid type of database it provides many advantages of SQL database and therefore, it is increasingly adopted by the different business and industries. Therefore, it is certainly important to understand the requirements of the company in order to decide which database would be beneficial to adapt. Data Characterization Data characterization refers to the summarization of the general features or objects in a target class. It is an important aspect of the data storage. The different characteristics that defines the quality of data includes the accuracy and precision of the data, the legitimacy and data validity, reliability and consistency of the data. The SQL database provides completeness and comprehensives in storage and access of data. SQL enables data interaction. It is a declarative query language that provides a structured solution of the database. In this database, the data are organized in different tables and therefore data searching and data access follows a proper The NoSQL database on the other hand is a more informal and unstructured database. The NoSQL database is a mechanism for data storage and data retrieval that is not modeled in a tabular relations that is the base of SQL database. NoSQL provides scalability of the data and therefore it is more preferable for the many manufacturing organization in choosing NoSQL database over SQL database. Organizational readiness and Affordability With the advent of big data and data mining many organizations are making use of this technology to understand the business needs and target markets. Researches proves that data present in the world doubles in every two year and therefore, proper methodologies for data storage is essential. The NoSQL database involves different multitude database, and has different kind of data storage models (Nayak, Poriya and Poojary 2013). SQL is however, more costly to implement in relation to the NoSQL database. Therefore, the manufacturing organizations whose main aim of making use of big data is to understand the target audience and industrial trends can make use of the NoSQL database as it provides a more cost effective solution to the company. Since Big Data plays an important role in determining the business requirements of the major leading companies, organizational readiness is not a concern for the adapting to SQL or NoSQL database. Therefore, it is the requirements of the company and the affordability that is needed to be considered while making a choice. The NoSQL provides a schema-free design and breakthrough performance. There is however certain constraints that are associated with the NoSQL database, which includes the complexity with which the data is stored in the database. Therefore, if affordability is a criterion for selection of an appropriate database, NoSQL database will be considered for storing and accessing the data. Transaction Processing Requirements Transaction processing is used to maintain the integrity of the database by ensuring the all the SQL operations are either completed entirely or not completed at all. The transaction processing requirements of the manufacturing companies include the ease of storing and updating the data. This is offered by both SQL and NoSQL database. However, in SQL database, the data is needed to be stored in a structured manner, which is a major problem in the case of NoSQL database as it stores data in an unstructured manner (Pokorny 2013). However, the data processing speed of is higher in NoSQL database than SQL database. Data Privacy and Security Issues in SQL and NoSQL There are certain security issues associated with the SQL and NoSQL database for data storage. However, SQL is more secure than NoSQL. This is because the SQL database provides encryption of all the data files and only the authenticated users are allowed to access the data. On the other hand, the user authentication in NoSQL is not enabled by default and has very weak password storage. It is furthermore, increasingly vulnerable to SQL injections. Data is encrypted in SQL that helps in maintaining the confidentiality of the data. The NoSQL database lacks the encryption support for the data files, which is a major drawback of NoSQL database. The data at rest remains unencrypted in NoSQL database. These security risks are associated with Big data as it offers the opportunity of access a huge amount of data. Another area of concern in NoSQL database is the dataflow protection and data governance. Since the data stored in the SQL database are encrypted, it does not possess the risk of dat a theft or modification of data while it is being transferred. However, it is a persistent problem with NoSQL system, as there is no proper data governance model unlike SQL (Shar and Tan 2013). The use of NoSQL database is increasing consequently and therefore it definitely needs a proper data governance model. Therefore, on evaluating both the SQL and NoSQL database on grounds of security and confidentiality, there is no doubt on the fact that SQL database is more secure than NoSQL database. If security is a major criterion of evaluation, then SQL database must be the first choice of the company. However, SQL too have some concerns when evaluated on basis of the use and access of the big data. Since the manufacturing industries are embarking on big data in order to enhance their business processes and operation (McCreary and Kelly 2014). Having a tight security in the data access could therefore prove to be a hindrance for making use of the big data. The concept of data mining and big data includes the practice of examining a larger and pre existing database for generating new information. Accessing the information from a SQL database can be tiresome and difficult and therefore, it would be beneficial for the manufacturing industries to opt for the NoSQL database for efficient data storage and access. SQL or NoSQL? It is suggested for the manufacturing industries to consider the NoSQL database because- SQL database is schema oriented, which indicates that the structure of the data should be known in advance. This might be a problem for storing an unstructured data like big data. SQL databases are prone to serious performance bottlenecks, which can be challenge for processing unstructured data (Birgen, Preisig and Morud 2014). The data processing speed is high in NoSQL and the cost of data storage is low as well. Therefore, it can be said that NoSQL database is preferred over SQL database as it solves two major problems, scalability and simplified data storage. Conclusion Therefore, from the above discussion, it can be concluded that the it will be beneficial for the manufacturing industries to use NoSQL database for their big data projects. NoSQL will help in storage of the large amount of unstructured data like big data and in a very low cost as compared to SQL database. The SQL database is although more secure than NoSQL database, it can act as a hindrance for processing and accessing a large amount of data. Furthermore, NoSQL database provides a flexible schema structure for better storage and access of huge amount of data such as big data. NoSQL offers efficient architecture that offers horizontal scaling. The open source nature of the NoSQL further makes it more cost effective than SQL database. References Birgen, C., Preisig, H. and Morud, J., 2014. SQL vs. NoSQL. Hammes, D., Medero, H. and Mitchell, H., 2014. Comparison of NoSQL and SQL Databases in the Cloud.Proceedings of the Southern Association for Information Systems (SAIS), Macon, GA, pp.21-22. Li, Y. and Manoharan, S., 2013, August. A performance comparison of SQL and NoSQL databases. InCommunications, computers and signal processing (PACRIM), 2013 IEEE pacific rim conference on(pp. 15-19). IEEE. McCreary, D. and Kelly, A., 2014. Making sense of NoSQL.Shelter Island: Manning, pp.19-20. Nayak, A., Poriya, A. and Poojary, D., 2013. Type of NOSQL databases and its comparison with relational databases.International Journal of Applied Information Systems,5(4), pp.16-19. Pokorny, J., 2013. NoSQL databases: a step to database scalability in web environment.International Journal of Web Information Systems,9(1), pp.69-82. Roijackers, J. and Fletcher, G., 2012. Bridging sql and nosql.Master's thesis, Eindhoven University of Technology. Shar, L.K. and Tan, H.B.K., 2013. Defeating SQL injection.Computer,46(3), pp.69-77. Sharma, V. and Dave, M., 2012. Sql and nosql databases.International Journal of Advanced Research in Computer Science and Software Engineering,2(8).

The Super Nintendo World Theme-Free-Samples- Myassignmenthelp.com

Questions: 1.Discuss what types of Innovation the Theme park represents? Is it a radical Innovation. 2.What advice do you have to seek innovative ideas from various sources to Incorporate into the theme park design? 3.Using theories of Innovation, make some recommendations to enhance the opportunities for the Theme Park to be successful. Answers: 1.Innovation types of the Theme park: The Theme park utilized the frameworks of profit model, network, structures, channels, brand and customer engagement. The profit model has found an innovative method in converting the offerings of the form and the other origins of values to cash. In the Theme park, the dominant model of profit has gone unquestioned. The network innovation has delivered the approach for the Theme park to undertake benefits of brands, channels, technologies and process of other organizations. The structure innovation has focused upon the intangible, human and hard resources of the organization by creating values. The channel innovation has encompassed the organization in various manners connecting the offering of the Theme park with the users. The brand innovation has ensured the users in recognizing, remembering and preferring the offerings to the substitutes and competitors. The customer engagement has dealt with the understanding of the aspirations that are deep-stated for the users. The efficient customer engagement has delivered wide avenues to explore. It has also found methods for making parts of peoples lives more delightful, fulfilling, memorable and magical (Goldberg, Lee and Pulos 2016). Yes this has been a radical innovation. The Nintendo Theme Park possesses radical innovation like permitting the NPC or Non-player character, to act via AI or artificial intelligence seen in the FPS or First Person Shooter games. There has been usage of physics engines for calculating the results of the actions over objects from a field perspective (Sakamoto and Nakajima 2015). These games had radical innovations such as allowing NPCs to act through artificial intelligence first seen in FPS games and the use of physics engines to calculate the outcomes of actions on objects in a field of view. 2.Ideas implemented in designing the Theme park: The actual track has beneath the show track in the game. An arm was suspending the real coaster train over the track where the riders observe when they move on. This has been permitting to retrieve the sequences of cartoons. However, the images have not been entirely appropriate. There has been the Yoshi dark rise entering the mix as the layout was made above (Statz et al., 2017). This has been able to alter as real deal before the Universal begins to dig into ground. All these have to be taken a grain of salt. However, if it has been real anything pretty awesome for looking forward would be gained. This is because these Super Nintendo World has begun to open at the Universal Studios Hollywood, Universal Studios Florida, and Universal Studios Japan. The sources to contribute suggestions and ideas are Instagram, subscription on YouTube, pages on Facebook and on Twitter. 3.Recommendations for enhancing scopes for the Theme Park: Ice-themed portion: An ice-themed portion is recommended at the park. There have been some buildings covered with snow next to the castle of the Bowser. Eradication of the slippery building structures: The slippery structure of the area must be eradicated. This would help the clumsy visitors from falling off the sides and lose their precious loves. Differentiating and innovating without imitating: The idea of the Theme park has originated from other games. It has been quite natural to get inspired by the successful games. This has been practical to borrow ideas from them. However, the Theme park should get clear differentiation from the innovation and competition. As it has been imitating without differentiations in various cases, it has been referred to as by clones by some scholars. It must be reminded that the clones have been commercially failures very often. Early prototyping: The system and technologies must be prototyped early to prove their concepts quickly. The prototype has not only been useful from the standpoint of technology bur also critical to test game-play. The designers have been generally left in guessing till the games are played. The prototyping test would be useful for examining the strategy. References: Forbes.com. (2017). Forbes Welcome. [online] Available at: https://www.forbes.com/sites/olliebarder/2017/06/08/the-super-nintendo-world-theme-park-is-slowly-coming-to-life/#5e8fbca122e4 [Accessed 19 Jun. 2017]. Goldberg, A., Lee, S.A. and Pulos, A., 2016. Its Dangerous to go Alone! Take this (New Technology): Nintendos Impact on the Technological Landscape of the Video Gaming Industry. InTransnational Contexts of Development History, Sociality, and Society of Play(pp. 65-91). Springer International Publishing. Sakamoto, M. and Nakajima, T., 2015, May. A better integration of fictionality into daily lives for achieving a digital-physical hybrid gameful world. InControl Systems and Computer Science (CSCS), 2015 20th International Conference on(pp. 711-718). IEEE. Statz, A., News, S., Streit, M., Desmond, K., Otman, H., Suss, J., Suss, J. and Statz, A. (2017). A Super Nintendo World Theme Park Is Coming To Universal Studios Japan. [online] Simplemost. Available at: https://www.simplemost.com/super-nintendo-world-theme-park-coming-universal-studios-japan/ [Accessed 19 Jun. 2017].