Analysing data production

Analysing data production The process of research is not only about learning and discovering, but also about sharing these discoveries with others, so that society as a whole can benefit from the efforts put in by the individual. When it comes to complex academic concepts, the choice of words for how a concept is described can make a difference to how well it is understood by others , especially when moving between research domains.    Hence we make such use of metaphors and analogies when it comes to describing complex concepts. Tying a concept (for example, quantum superposition) to a real world â€Å"thing† (for example, a cat in a box ) allows people unfamiliar with the original concept to connect it with something they have experience of, and provides a foundation which can be elaborated on. If, upon further examination, it is found that the analogy gets stretched beyond all reason, then that is acceptable, as long as those using it don’t simply rely on it as an article of blind faith. Analogies and metaphors require critical thinking. Scientific concepts are formulated in human language, and as such, are intended to be processed by the human brain (even if that brain needs to be highly trained before it can properly grasp the concepts being described). Scientific data, on the other hand, is designed to be machine consumable (as well as predominantly machine produced). Measurements are often not useful without the context surrounding them. It is one thing to know that a particular river level rose by 10cm. It is only by knowing where this happened, how high the river was to begin with, and how high the rise would have to be at that location to flood the houses built there, that we are able to put the data into context, and make it useful. Yet we still need that data. If a homeowner who got flooded wished to claim on their insurance for flood repairs, having that data and context available means they’d have proof that it was river flooding that caused the damage, rather than a burst pipe. We also need to have the research data which underpins key research findings available and understandable, both for reproducibility and to prevent fraud/misuse. Making data usable by others takes effort and time and is often unrewarded by the current system for gaining academic credit. Metaphors and Analogies â€Å"No one metaphor satisfies enough key data system attributes and that multiple metaphors need to co-exist in support of a healthy data ecosystem†(Parsons Fox, 2013) Data publication as a metaphor has been addressed extensively in (Parsons Fox, 2013), leading to the quote above. But before we dive into examples of metaphor and analogy in the data domain, it is helpful to review what they mean. From (Gentner Jeziorski, 1993): ‘Analogy can he viewed as a kind of highly selective similarity. In processing analogy, people implicitly focus on certain kinds of commonalities and ignore others. Imagine a bright student reading the analogy â€Å"a cell is like a factory.† She is unlikely to decide that cells are buildings made of brick and steel. Instead she might guess that, like a factory, a cell takes in resources to keep itself operating and to generate its products. This focus on common relational abstractions is what makes analogy illuminating.’ (Gentner Jeziorski, 1993) p448 This action of focussing on some commonalities and ignoring others is crucial when using analogies to illustrate scientific concepts. We can produce an analogy that â€Å"a dataset is like a book†. Commonalities include that both contain information, in a structured and formatted way, which is consumable by a user, and both are the product of sustained effort, potentially from a wide range of actors. The differences between them make it just as easy to say â€Å"a dataset is not like a book†, in that a dataset can be constantly changing; may not be a physical, but a virtual object; mostly isn’t designed for humans to read unassisted ; and often a dataset isn’t a self-contained unit (as it requires extra information and metadata to make it understandable and usable). Obviously, it is possible to push analogies too far, and have them break. This is more likely to happen when users of the analogy don’t have a good understanding of each of the two things being compared. In the (Gentner Jeziorski, 1993) quote above, if the student didn’t have any other concept of what a cell was, she could easily imagine that they were tiny buildings made of bricks and steel, and the analogy used would do nothing to correct that misapprehension. It’s also important to remember that analogy is not causation – if two phenomena are analogous, it does not imply that one causes the other. Types of metaphor and real world scientific examples: Data Publication Data publication, as a metaphor, came about as a result of the drive for researchers to publish as many works as possible in as many high impact journals as possible, and the need for those involved in creating datasets to be given recognition for their work, and their efforts to make the data findable, accessible, interoperable and reusable. This resulted in pressure to squeeze all research outputs into shapes that resemble publications, hence the proliferation of the data journal, a place where researchers can publish a paper about their dataset, linked via permanent identifier to the dataset itself (stored in a trustworthy repository). The data paper then can be cited and used as a proxy for the dataset when reporting the importance and impact of the researcher’s work. A real-world example of a dataset that has been published in a data journal is the Global Broadcast Service (GBS) datasets (Callaghan et al., 2013), measurements from a radio propagation dataset investigating how rain and clouds impact signal levels from a geosynchronous satellite beacon at radio frequencies of 20.7 GHz. The data streams linked to the paper, and which the paper describes in detail, are the result of a definite, discrete experiment, resulting in a well-defined, discrete and fully completed dataset, which will not change in the future. The dataset has been through two levels of quality assurance: the first was performed on ingestion into CEDA , where the file formats were standardised and metadata was checked and completed. The second level of quality assurance was performed as part of the scientific peer review process carried out when the data paper and dataset were submitted to the Geoscience Data Journal for review and publication. As this dataset is complete, well-documented and quality assured, it can be considered to be a first-class, reference-able, scientific artefact. There are other peer-reviewed journal articles which use the GBS data as the basis for their results, see for example (Callaghan et al., 2008) . However, datasets can be discrete, complete, well-defined and permanently available without the need for the proxy of a data paper, or any other publication attached to them. This is of particular value when it comes to publishing negative results, or data that don’t support the hypothesis they were collected to verify, but may be useful for testing other hypotheses. These types of datasets are possibly the closest thing we have to the â€Å"dataset as a book† analogy, and therefore are the easiest to fit into the data publication mould. Unfortunately, many other datasets do not fit in with this shape. Many datasets are dynamic, and are modified or added to as time progresses. Then there are issues with granularity – some researchers may only need a subset of a larger dataset for their work, but need to accurately and permanently identify that subset. Citing at the level of every one of the subsets results in reference lists that are long and unwieldy, and can make it difficult to find the subset required in a long list of very similarly named datasets. For text based items, such as books and articles, tools exist to compare text from one instance of an article to another, allowing the reader to be sure that the contents of two instances are the same, regardless of the format they are in (for example, an article in hard copy in a journal as compared with a pdf). We currently do not have a way of evaluating the scientific equivalence of datasets regardless of their format. The ease with which it’s possible to modify datasets (and not track the changes made) also means that it can be very hard to tell which dataset is the canonical, original version, or even what the differences are. Data publication can work very well as a metaphor, but users must be aware that it really is only applicable to the subset of datasets which can be made complete, well-documented, well-defined, discrete and quality controlled. Big Iron (industrialised data production) Big Iron, as defined in (Parsons Fox, 2013) typically deals with massive volumes of data that are relatively homogenous and well defined but highly dynamic and with high throughput. It is an industrialised process, relying on large, sophisticated, well-controlled, technical infrastructures, often requiring supercomputing centres, dedicated networks, substantial budgets, and specialized interfaces. An example of this is the data from the Large Hadron Collider, CERN, but in the Earth Sciences, the Coupled Model Intercomparison Projects (CMIP) are another. The Intergovernmental Panel on Climate Change (IPCC) regularly issues Assessment Reports, detailing the current state of the art of climate models, and their predictions for future climate change. These reports are supported by the data from the climate model runs performed as part of CMIP. Each CMIP is an international collaboration, where climate modelling centres around the world run the same experiments on their different climate models, collect and document the data in standard ways and make it all available for the wider community to use, via custom built web portals. CMIP5, the most recent complete CMIP, resulted in datasets totalling over 2 PB of data. As this data is the foundation for the IPCC assessment and recommendations, it is vital that the data is stored and archived properly . Dealing with these data volumes requires not only custom built infrastructure, but also standards for file and metadata formats (e.g. NetCDF, CF Conventions, CMOR, etc.). Collecting the metadata describing the experiments that were run to create the datasets alone took several weeks’ worth of effort, and several years of effort to design and build the CMIP5 questionnaire which collected the metadata (Guilyardi et al, 2013). The industrialised production of data is likely to increase over the next years, given the increased ability of researchers to create and manage big data. The opposite of this analogy is also valid in many cases, as described in the next section. Artist’s studio (small scale data production, unique and non-standard output) Similar to Big Iron, this analogy focusses on the method of production of a dataset, rather than the dataset itself. The artist studio analogy covers the long tail of data produced by small groups or even single researchers, working in relative isolation. Artist studios generally produce one-of-a-kind pieces, which may have standard shapes and forms (e.g. oil paintings) but may equally come in non-standard shapes, sizes and materials (e.g. sculptures, video and audio installations, performance art etc.) The aim is to produce something of use/interest to a consumer, even if they are part of a limited domain. Similarly, it’s often not easy, or even possible to share the outputs of the studio (it is possible to make copies/prints of paintings, and smaller models of sculptures, but other objects of art, like Damien Hirst’s famous shark in formaldehyde (Hirst, 1991) are nearly impossible to reproduce ). Datasets produced by small research groups follow this analogy. The emphasis is on the production of the finished product, sometimes with the supporting documentation and metadata being neglected, due to lack of time, effort and potentially interest on the part of the creator. If the dataset is only aimed at a small user group, then the metadata is provided as jargon, or users are simply assumed to have a sufficient level of background knowledge. Sharing the data is often not considered, as for the researchers, holding the only copy of the data makes it more valuable, and therefore more likely that they’ll receive extra funding. An example â€Å"artist studio† is the Chilbolton Facility for Atmospheric and Radio Research (CFARR) . It is a small facility, located in Hampshire, UK, with approximately 6 permanent staff, who collectively build, maintain and run a selection of meteorological and radio research instruments. In recent years, the focus of the facility has been on collaborations with other research groups in universities and other research centres. Previously the facility had been more focussed on radio research, and as such had developed its own data format for the instruments it built, rather than tying in with existing community standards. Similarly, the data was stored on a variety of servers, with a bespoke tape backup system. When CFARR’s funding structure changed, pressure was put on the staff to archive all new data and the majority of existing data in CEDA. This made it easier for the facility staff, in that they no longer needed to maintain servers or the backup system, but it made things harder in that effort was needed to convert the data files to netCDF, and to collect and agree on the metadata that should accompany them. The culture change to move from the artist studio model to a more standardised and collaborative model took effort and time, and should not be underestimated. Science Support Science support is what CEDA do on an operational, everyday basis. Even though we’re not directly (or physically) embedded in a research organisation , we interact with researchers and research centres on a regular basis to ensure that the processes for data ingestion are carried out smoothly and efficiently. For data centres embedded in a research centre, data management can be seen as a component of the broader â€Å"science support† infrastructure of the lab or the project, equivalent to facilities management, field logistics, administrative support, systems administration, equipment development, etc. In our case, CEDA concentrates on data management, and providing services to make it and use of data easier for the researcher. Different data centres will have different ways of providing science support to their core user base. For example, an institutional data repository, responsible for all the data being produced by, for example, a university, will have datasets which are non-standardised and are usually geared towards a specific set of intended uses and local reuse in conjunction with other local data. In terms of the â€Å"artist studio† analogy, an institutional repository is like an art gallery or museum, where different datasets will have different data management requirements. By contrast CEDA, which has multiple PB of data in the archives, must standardise in terms of file formats, metadata models etc., hence moving towards a more â€Å"Big Iron† metaphor. In common with institutional repositories, CEDA also focusses on managing data (and sometimes merging datasets to create more useful resources) in order to meet the needs of our user community, which is international in scope and covers a wide range of users, from schoolchildren, to policy makers, to field researchers and theoreticians. Map Making Map making as a metaphor refers to the final representation of the data, and the process of putting the data into a context, primarily geographical. Maps also help to define the boundaries of what is known, and what isn’t. Though data presented in this way tend to be fixed in time, maps are useful for showing dynamical datasets, or time slices through complex multidimensional processes, e.g. the four dimensional structures of clouds/rain changing in time. The results of map making, the maps themselves, are datasets in their own right, and so need to be treated in the same way as other datasets with regard to preservation, metadata etc. The act of plotting some parameter on a geographical map results in a well-standardised structure for intercomparison and visualisation. Linked Data The â€Å"data† in Linked Data are defined extremely broadly and are envisioned as small, independent things with specific names (URIs) interconnected through defined semantic relationships (predicates) using model and language standards (e.g. the Resource Description Framework, RDF). It has a major emphasis on Open Data, as linked data focuses on enabling the interoperability of data and capitalising on the interconnected nature of the Internet. Linked data isn’t commonly used for dealing with scientific data, but instead, is predominantly used in our metadata, where we have complete focus on preservation, curation and quality, unlike other linked datasets available elsewhere. Using linked data for metadata structures does require standardisation and agreement on the formal semantics and ontologies. Linked data is very flexible, and lends itself well to distributed and interdisciplinary connections, provided the formal semantics can be agreed to be applicable across multiple domains. Linked data as a concept unfortunately hasn’t fully permeated the research environment as yet – many scientific researchers don’t understand the semantics (and have little interest in them). Linked data is often used as a support structure for Big Iron. The Cloud: â€Å"x as a service† There is an argument that the mechanisms for data publication should be invisible, and data should be accessible and understandable without any prior knowledge. Cloud services such as Dropbox allow users to store their data, and access them from any web browser, or mobile app, provided they have an internet connection. â€Å"Data as a service† ties in with â€Å"software as a service†, in that the users only take the data they need at any given moment, and in some cases may not even download it, instead using dedicated computing resources elsewhere to perform the manipulations needed on the data. An example of this is JASMIN , a system that provides petascale storage and cloud computing for big data challenges in environmental science. JASMIN provides flexible data access to users, allowing them to collaborate in self-managing group workspaces. JASMIN brings compute and data together to enable models and algorithms to be evaluated alongside curated archive data, and for data to be shared and evaluated before being deposited in the permanent archive. Data, in this context, aren’t the fixed and complete products described in other analogies, but instead are more fluid and dynamic. Still, once the datasets are deposited in the permanent archive, they become fixed products, and are citeable and publishable. Providing significant resources for data manipulation is undoubtedly useful, but the focus with this system is on the service, not necessarily on the data. The data however, is the backbone of the system – there is no point having the service without the data and the users who want to analyse it. Conclusions It goes without saying that all analogies are wrong, but some are useful, and hence should come with a health warning – especially when following an analogy to the furthest reaches of its logic can result in sheer absurdity . When dealing with data, just like in life, there is no all-encompassing metaphor for what we do. Instead, metaphors and analogies should be used in ways to illuminate and clarify, but we should always remember that metaphors are useful tools for thinking about things, but can also limit how we think about things. (Ball, 2011). Pushing an analogy so far that it breaks can be a useful process, in that it helps determine the limits of understanding, especially as part of an ongoing conversation. Finally, for this essay, the author would like to leave the reader with some very appropriate words from (Polya, 1954, page 15): â€Å"And remember, do not neglect vague analogies. But if you wish them respectable, try to clarify them.†

How important is the media in setting gender roles Essay

How important is the media in setting gender roles - Essay Example The children, youngsters and people at large are vulnerable to the portrayal and textual messages in media because they are regularly exposed to them. Scientific research reveals that in cognitive learning, the individual learns by listening, watching, touching, reading or experiencing and then processing and remembering the information. (Think Quest, 2008). Theory of cognitive learning essentially implies that through various means of learning processes, people are able to retain the information in the memory and apply it as and when required. The theory becomes highly relevant when applied to media portrayal of gender roles. The impact of those visuals and the textual contents are reflected in the behavioural pattern of the people who consciously or unconsciously adapt the messages and images in their attitude and behaviour. Thus, role of media become a critical element in setting gender roles within defined societal paradigms. Television is most influential format of media that co nsiderably impacts people’s opinion and promotes diversity of roles that are gender based (Carter, Branston and Allan, 1998). Oprah Winfrey Talk Show is an exemplary example of empowerment of women. In the male dominated society, the rise of Oprah Winfrey, an African American woman is nothing short of a miracle. She serves as the most influential role model for millions of women across the world who has triumphed over social and racial prejudices to emerge as a symbol of woman power. Oprah Winfrey symbolizes empowerment a woman, who has risen above gender and race. Indeed, television has greatly facilitated in promoting empowerment of women as one of the most crucial issues for the wider... This essay "How important is the media in setting gender roles?" outlines how different forms of media portrays both gender and their gender roles. The general image of women has also got a great boost from the media. The news channels, showcasing the pertinent women issues of their empowerment and equal representation in national politics have had huge positive impact on the perception and opinion of general public. It plays a prominent role in the portrayal of women, especially those above fifty years of age. But it can also be said that though women may share almost equal platform on visual media as TV anchors, newsreaders, in general, they have not been given the space and the importance that they deserve. Celebrity status and glamour seem to be the important factor for projecting them in media. Looking at the increasing number of TV soaps and mainstream cinema, one discovers that the appeal for women protagonists invariably decrease with age! There are fewer films and prime time soaps with matured female artistes as main characters. Whereas their counterparts seem to have a new lease of life after fifty years of age! Sean Connery (The Rock, Finding Forester etc.), Richard Gere’ (Chicago, Flock etc.) are few actors who are able to get main lead in cinema, while in their 50s and 60s. Gender bias seems to dominate all areas of media, including news media which is highly retrogressing and demoralising for women professionals. Then again, literature has also a unique way in perpetuating new ideologies and values within the transforming societies.

Social Diversity -teaching across different learning styles Essay

Social Diversity -teaching across different learning styles - Essay Example In addition he further talked about the cognitive, moral and social development in children. As far as cognitive and socio moral development is concerned, Piaget relates three parallels. First, Piaget explained that as the object world is constructed by child, same case occurs with psychological development. So, psychological knowledge can be constructed by child as well. According to Piaget, second parallel involves the fact that affect is an in- dissociable element while talking about intellectual growth and development process. So, socio affective ties motivate moral and social development. Third, self regulation process is also described for moral and social development as for Intellectual and cognitive process. In the view of Jean Piaget, child’s intellectual development and adaption are always dependent on environment. This occurs in the same way as physical development does happen. While talking about development, Piaget also mentions and focuses the significance of pee r relations same as Tudge and Rogoff mentioned in ‘Interaction in human development’ (1989). However, according to Piaget’s view, peer relations do matter a lot as far as child’s construction and development process are related. ... So, Piaget’s development process expressed a gradual movement in children from anomy to heteronomy which further leads to autonomy. This description can further be described as a process when child passes through development process from non regulation by self and others to a process when child starts getting directives by others. Finally, a child reaches to a stage of autonomy meaning self regulation process. Moreover, Piaget also mentions two types of moral development in children based on their relations with adults. The positive regulations lead in the promotion of development optimistically. On the other hand, negative directions or coercion retard the overall development in short and long run as well. So, we can see that morality is not dependent on personal or individual convictions rather it always depends on environment and people with which a child interacts. Here, it is also important to mention that although child development is based on people living around but it is also a fact that believes also play a major role in this regard. This is also known as autonomous morality. This morality reflects the process of self regulation in children. Self constructed moral values give rise to beliefs. Moreover on practical level, we can see beliefs really play a great role as far as development process is related. Children will never like to follow readymade rules given or prescribed by their adults until or unless they develop personal convictions in this regard. So, when we talk about education instruction, cultural diversity, language and learning, we can see that adult child relationships do matter a lot. These relations might be power based where adults always

Research paper Example | Topics and Well Written Essays - 1750 words

Research Paper Example These x-rays are produced by neutron stars or extremely hot objects and a few radioactive sources. Moreover, in the medical field, x-rays are used to treat cancers, and that while soft x-rays are stopped by air, hard x-rays can penetrate deeply into the damaged tissue (â€Å"The Electromagnetic Spectrum†). Nevertheless, one distinguishing feature of x-rays in its use in geophysics is that through x-ray images of the sun, one can obtain important clues with regard to solar flares and other physical changes in the sun that can affect space weather and Earth weather. (De Lloyd) Ultraviolet Rays Aside from the practical uses of UV in detecting forged bank notes, hardening certain types of dental filling and sterilization of surgical equipment in hospitals (â€Å"Ultra Violet†), this kind of light is also placed on UV telescopes on satellites in order to measure the amount of UV coming from stars, galaxies and the Sun itself. Moreover, astronomers can study stars and galaxie s by virtue of the UV light that they give off (â€Å"Ultraviolet Waves,† NASA). ... In the portable spectrometer, UV light is used with all the visible light as well as Near Infrared light. (â€Å"Observing the Earth†) Visible Rays Aside from its most practical purpose, which is to allow the eyes to view the world, visible light, it is also used for communication, specifically in the â€Å"transport [of] huge volumes of information over very large distances† by means of internal reflection in optical fibers (Emery). Moreover, visible red, green and blue false color assignments are used to reflect radiant energy emitted by the Earth’s surface and atmosphere. Specifically, visible blue light from 0.45 to 0.52  µm is used for mapping details of how deep water-covered areas are, considering that it is the most absorbed wavelength of water. Visible blue light is also utilized by the Landsat TM satellite sensor as spectral band 1 (â€Å"An Introduction to Remote Sensing,† Yale University). Landsat TM is a satellite sensor that detects changes in the biosphere such as wildfires, deforestation and natural calamities and such data on these changes will be provided to concerned institutions including the government, the education sector as well as commercial and industrial communities. (â€Å"Landsat Multispectral Scanner†) Visual green light, on the other hand, from 0.50 to 0.60  µm is also used to map out depth or the presence of sediment in bodies of water. Roads and buildings can also be detected by this particular bandwidth. In satellite sensors, visible green light is used as spectral band 1 in the Landsat MSS, as band 2 in Landsat TM, and as another band in Landsat ETM+. These Landsat satellite sensors aid in the detection of

Accounting System in QuickBooks for a Hospital

Accounting System in QuickBooks for a Hospital Introduction: Once the accounting system is installed in the hospital then the hospital records would be kept electronically. All the manual work would be shifted in the computer through the operators. This would lead to many benefits for the organization. First of all the cost of the hospital would be decreased and the time wold be saved for the staff. All the information for the medicines would be kept in the electronic form and it would be convenient for the operators to locate those easily. It will help in maintaining following works of the hospital. Services Management This module will deal with administrations gave by the healing center. Rate of administrations is charged by standards of clinic . It will think about board , Night Charges , Emergency charges , Age of patient and different parameters while ascertaining the rate of administrations for a specific patient. Patient Management Each patient treated in healing center will be given novel Patient ID which is helpful in following visits of patients. All patients information is advantageous for MRD purposes. OPD Management OPD Registration When a patient goes to the gathering work area, another enrollment number is naturally Allotted to him. His particular points of interest like Name, Age, Sex, Address and so forth and the administrations sought are feeded into the product. OPD Billing / Collection Billing of all OPD patients with complete subtle elements of Patient Information, Services gave like Consultation, Laboratory, X-beam, Ultrasound, Medicines, Procedures and so forth alongside Payment points of interest. Discharge Summary After the release of patient release synopsis could be consequently produced with simply few press of keys. Lab information can naturally be foreign. Distinguishing offering clever standard arrangement could be set. Laboratory Management As the test is busy at gathering solicitation is consequently send to research center. Lab can sustain the consequence later and prints alluring reports. Security Management Part base security will be give to client. Customer server building design will be accompanied. Pharmacy Management Complete drug store shop could be overseen through this module. Moreover it could be connected to fundamental charging. As patient gathers pharmaceuticals from drug store shop their charges will consequently exchange to patient charging. Payroll HRD Management Complete pay might be registered through this module. This module might be connected through Time machines additionally. All fundamental organizations might be created through this module. Accounts Management All buy , expenditures ,installments could be feeded in this module. Receipts might be specifically foreign made from OPD and IPD division. Accounting Information Systems Quickbooks is accounting programming that gives a simple and effective approach to gather and abridge accounting data. Furthermore, Quickbooks makes numerous distinctive reports that are functional when dealing with a business. The target of an accounting framework is to gather, condense, and convey data to leaders. Accounting data is utilized to: prepare tax returns to send to the IRS and state tax organizations. prepare financial statements for banks and gurus. prepare reports for chiefs and holders to utilize when settling on choices about the business. Such choices incorporate: Are our clients paying their bills on time? Which of our items are the most beneficial? Will we have enough money to pay our bills one month fro Transactions An accounting framework gathers data about transactions. As an organization behaviors business, it enters into transactions (or trades) with different gatherings, for example, clients, merchants, and representatives. Case in point, when a business offers an item to a client, there are two parts to the transaction: the business gives an item or administration to the client. in trade, the business gains money (or a guarantee to pay later) from the client. Double-entry accounting Double-entry accounting is utilized to record the two parts to a transaction: (1) the measure appropriated is a debit, and (2) the sum given is a credit. Each entry must equalization; debits must equivalent credits. Double-entry accounting has been utilized for over 500 years. In Italy in the year 1494, Luca Pacioli, a Franciscan minister, and Leonardo da Vinci teamed up on an arithmetic book that depicted double-entry accounting. The double-entry system was utilized by the shippers of Venice to record what was given and appropriated when exchanging. In a manual accounting system, accountants make debit and credit entries in a journal using paper and pencil. When using QuickBooks for your accounting system, you can enter accounting information in two different ways: (1) onscreen journal, and (2) onscreen forms. 1. Onscreen Journal. You can make debit and credit entries in an onscreen journal shown below. Instead of using the onscreen journal, you can use onscreen forms to enter information in QuickBooks. 2. Onscreen forms. One can enter data about transactions utilizing onscreen structures, for example, those appeared. Quickbooks naturally changes over data entered in onscreen structures into double-entry accounting entrances with debits and credits. Quickbooks administers a rundown of diary sections for all the transactions entered if entered utilizing the onscreen diary or onscreen structure Creating an Accounting System in QuickBooks Steps to create an accounting system using QuickBooks are: Set up a new company data file. Quickbooks utilizes an easy step Interview that gets some information about your business. Quickbooks then consequently makes an organization information index for your business. In Part I of this content, Exploring Quickbooks, you will utilize a specimen organization information document that has as of recently been made for you. In Part II, you will set up another organization utilizing the Easystep Interview. Create a Chart of Accounts. A chart of accounts is a rundown of every last one of records for an organization. Accounts are utilized to sort and track accounting data. Case in point, a business needs one record for Cash, an alternate record to track measures clients owe (Accounts Receivable), but then an alternate record to track stock. Quickbooks consequently makes a diagram of records in the Easystep Interview. Quickbooks licenses you to adjust the diagram of records later, in the wake of finishing the Easystep Interview. Create Lists. Quickbooks utilization records to record and arrange data about: customers vendors items (things sold and things acquired, for example, stock) employees other, (for example owners) Enter transactions. Enter data about transactions into Quickbooks utilizing the onscreen diary or onscreen structures, (for example, onscreen receipts and onscreen checks). Prepare reports. Reports outline and convey data around an organizations fiscal position and business operations. Monetary explanations are institutionalized money related reports provided for outer clients (brokers and moguls). Budgetary explanations abridge data about past transactions. The essential monetary proclamations for a business are: Balance sheet: condenses what an organization possesses and owes on a specific date. Profit and loss statement (or income statement): condenses what an organization has earned and the costs acquired to procure the salary. Statement of cash flows: compresses money inflows and money surges for working, contributing, and financing exercises of a business. Other financial reports are made for interior clients (supervisors) to support in deciding. A sample of such a report is a money plan that tasks measures of money that will be gathered and used later on. In Part I: Exploring Quickbooks, you will research Step 2: making a diagram of records; Step 3: making records; Step 4: entering transactions; and Step 5: planning reports. In Part II: Small Business Accounting, you will figure out how to set up another organization in Quickbooks and survey Steps 2 through 5. Advantages Disadvantages of QuickBooks: Regardless of what the way of your business, keeping an exact set of books is crucial. Without faultless business records, it will be challenging to draw in the financing you require in light of the fact that business records are for the most part the first thing potential banks and moguls need to see. Off base or confused business records can likewise make it troublesome to record your taxes, or even land you in heated water with the Internal Revenue Service. Utilizing Quickbooks to keep your business records gives you a chance to maintain a strategic distance from those potential issues. Ease of Use One issue with accounting projects is that a large portion of them are challenging to utilize and lumbering to take in. Quickbooks, then again, is intended to be natural and straightforward, actually for entrepreneurs who fail to offer an accounting or financial foundation. Integration The capacity to incorporate with different projects is an enormous preference of Quickbooks. In the wake of utilizing the item to enter the sum of their business salary and expenditures, entrepreneurs can without much of a stretch fare that information to their most loved tax planning project to make indexing wage taxes at any rate somewhat less tormenting. Quickbooks likewise incorporates well with Microsoft Excel, making it simple to import information from different sources and use it in Quickbooks. Customization Quickbooks gives various prepared to-utilize layouts entrepreneurs can use to make receipts, spreadsheets, outlines and strategies for success. The product additionally makes it simple to alter the look and feel of those records, providing for them to a lesser degree a treat cutter manifestation and bailing them to emerge in the swarm. The capacity to modify receipts could be especially advantageous, and entrepreneurs can include their organization logo as well as point by point data about each one line thing too. That makes it less demanding for clients to accommodate their receipts and pay them on time. Check Signing In the event that you sign a great deal of checks for your business, utilizing Quickbooks can spare you a ton of time. Quickbooks permits entrepreneurs to output and transfer their marks and utilize those marks to set up the checks for the business. This robotized methodology is much more straightforward and simpler than composing several checks by hand every month. Quickbooks, prepared by Intuit, is a prominent line of accounting programming promoted basically to little organizations and non-benefit associations. The product permits clients to deal with a mixed bag of financial records, including deals receipts, installments, tax structures, financial receipts and stock records. Since Quickbooks is so easy to utilize, most assignments might be finished without an in-profundity learning of accounting systems. Notwithstanding the products easy to understand nature, then again, there are various weaknesses customers ought to be mindful of before putting in the project. Lackluster Audit Trail One of the essential worries about Quickbooks is the products review trail. Bookkeepers, and in addition entrepreneurs , like an organizations stream of financial data to be in-profundity and overall archived. While Quickbooks does give a review trail to most data, there are a few circumstances where financial data could be changed without leaving any kind of documentation. Basically, this implies that the product leaves an escape clause that could possibly permit an organizations financial records to be altered. No Fixed-Asset Section Contingent upon how a customer utilizes the product, an alternate potential issue is that Quickbooks doesnt accompany a settled possession area. Intuit, understanding the oversight, now gives a differentiate report to posting an organizations altered possessions. Upgrade Fees Keeping in mind the end goal to stay up with the latest, there are various pricey overhauls that entrepreneurs may need to buy. Commonly, these redesigns are just obliged once a year to get the most up and coming payroll tables and different administrations. Outages Quickbooks Online Edition an administration that permits clients to pay a month to month expense to utilize the product through a protected web program -accompanies its own particular remarkable issues. While the online administration offers fewer characteristics than the desktop form of the product, the most genuine detriment is the historical backdrop of developed blackouts, which have happened in both 2009 and 2010. Bibliography Advantages using quickbooks . (n.d.). Retrieved from http://smallbusiness.chron.com/advantages-using-quickbooks-4933.html Disadvantages of QuickBooks. (n.d.). Retrieved from http://www.ehow.com/list_7499063_disadvantages-quickbooks.html ERP Solutions for Hospital Management. (n.d.). Retrieved from http://www.acsonnet.com/hospital.htm

The Beginning of Victory :: Example Personal Narratives

The Beginning of Victory    As the music seeps through the air of the dark basement theater, my fingers begin to slide up the neck of my guitar. Instinct starts to take over. The notes flow through my veins, swim up the cables, and are flung into the sphere of energy that has formed around the small theater. The spotlight falls onto the closed eyelids of the audience as their steps coincide with the rhythmic beat of the improvisation. My mind slips away from the scene.    The freshly fallen snow clings to the limbs of the evergreen trees, forming a canopy over the path that winds its way up the mountainside behind my home. This is where I go when I need to think. As I hike up the narrow trail, I find solitude in nature. There are no houses to fill my view. There are no super-highways cutting through the middle of the path. Most of all, there are no people. A family of deer freezes to look at me in search of a place where the snow has not covered the grass. Further up the trail I stop to watch as two black squirrels chase each other up and around the skeleton of an aspen tree. Through a hole in the canopy the sun glistens off the snow and warms me. As I break out of the trees, I look up and see the sun perched alone in the sky with not one cloud to hide behind.    The band begins to slow the music and the rambunctious dancing turns to hypnotic swaying. A calm, almost mesmerizing jazz progression takes form, and with a slower, more sensuous feeling my body takes command of my instrument once more. I start to drift away again, but this time a different scene surfaces.    I take my usual seat on the rock outcropping that overlooks all of Eastern Colorado and take a very deep breath. As I look upon the city, I see the tops of the skyscrapers poking through the brown cloud of pollution. The entire valley is enveloped in this smog. To the South, where the clouds begin to dissipate, highways and houses flow over the land that animals and vegetation once inhabited. Urban sprawl is replacing nature. Even from this point high above the city, the sounds of cars roaring along the highway are intertwined with the magpie's call and blue-jay's song.

How Issues Are Affected By the Political Spectrum

On April 30, 1789, the United States of America elected our first president to lead our country. Then every four years thereafter, another president is elected. When election time comes around most Americans do not know anything about the issues involved and/or do not even know who is running. The two current candidates this year are Al Gore, the Democrat, and George Bush, the Republican. Three main issues that both parties deal with are Social Security, Tax Reform, and Education. Depending on each candidate†s political platform, they can be placed approximately on the political spectrum. Knowing where a candidate stands on the political spectrum, you can assume how he would feel on certain issues. Social Security is a huge issue this year because many citizens are concerned that they are paying the social security tax, but with the current plan, the money will run out by the time they get old enough to use it. Al Gore plans on taking social security and putting it aside and adding the interest gained to it which in his words, â€Å"I will keep it in a lockbox. The interest savings, I would put right back into it. That extends the life for 55 years† (Issues2000. om). Gore†s plan relates to the liberal side of the political spectrum. Normally most liberals believe in more government involvement and less big corporations. He is saying that the social security tax will go into a â€Å"lockbox† and no money will be taken out of it leaving it all to the government. â€Å"Today liberals view government as protecting individuals from being abused by a variety of governmental and nongovernmental forces, such as market vagaries, business decisions, and discriminatory practices† (Burns 243). This leads into why George Bush is a conservative. He plans on taking social security and putting it into the hands of our citizens and allowing them to invest their money in stocks. Bush wants to take the money out of the government†s hands and put it in the individual†s hands. â€Å"†¦ I†m going to trust [young workers] at their option to be able to manage, under certain guidelines, some of their money to get a better rate of return so that they†ll have a retirement plan in the future†¦ † (issues2000. com). Basically he is trying allow the â€Å"young workers† to control their social security rather than the government. This issue shows how two different sides of the political spectrum can affect the way they attack a problem. Tax Reform is another issue where both candidates differ greatly. Al Gore believes there should be a tax cut for the lower class and middle class families, but not for the wealthy class. This is true for a normal liberal to say. They believe the government should help those who are in need and leave those who don†t alone. â€Å"Liberals†¦ prefer that government take care of the weak, for the strong can nearly always take care of themselves† (Burns 244). With Gore†s plan, the typical family†s taxes would be the lowest in fifty years. This is definitely taking care of the weak part of society, the typical family. Bush, on the other hand, says he wants a tax cut for everyone. He believes everyone should deserve a tax relief, not just the middle class. This sounds good, but really the biggest cut would be in the upper class, who really do not need a tax cut. This just shows how Bush is being conservative by helping the big businesses, which make up most of the upper class. â€Å"Traditional conservatives, in the name of freedom, are emphatically pro-business† (248). Each candidate tries to show why their tax reform plans are better, but it just comes down to how each candidate relates to the political spectrum. Another big issue this year is Education. Both candidates feel differently about this issue. Al Gore believes that students who attend a failing school would be allowed to go to better school until that school is reopened under new management. He also says that schools that are doing poorly in student achievement would be given a fund to help them improve. Any progressing school would be given financial awards to help them strive to become better. This is considered a liberal view because he is saying that any weak school will be helped out by the government. In addition, he is supporting the improvement of some schools that are not meeting the standards. George Bush agrees somewhat, but he believes that if a school is failing, they have three years to fix the problems. If they don†t, they will be shut down and are demanded to give some money towards sending the students to other schools. He also says he would require testing be done every year. The schools that improve would get a bonus while the schools that are failing would lose some federal funds (English handout). Conservatives are also inclined to believe that those who fail in life are in some way the architects of their own misfortune and thus must bear the main responsibility for solving their own problems† (Burns 247). He is conservative by saying that the responsibility of failing schools is to fix the problems themselves. Some parts of this issue, education, Gore and Bush agree on but for the most part, they are like on two different sides of the political spectrum. Knowing where the candidate is located on the political spectrum, each issue can be related to how the candidate feels. Even though there are many issues a soon-to-be president has to discuss, there are definitely three main issues that affect everyone somehow. They all show a definite side of the political platform by each candidate. Each candidate†s side was relating to one side of the political spectrum such, as Democrats tend to be liberal, while Republicans are considered conservative. Referring back to the first paragraph, maybe we should model after our ancestors back when majority of our citizens actually cared about who was running and how they felt on the issues.