How one can calculate oa pr1 pr2 – How one can calculate OA, PR1, and PR2? This information dives deep into the arena of educational metrics, explaining exactly find out how to decide those the most important values. We’re going to quilt the whole thing from the fundamentals of OA, PR1, and PR2, to the more than a few calculation strategies, knowledge resources, and sensible programs. Get in a position to free up the secrets and techniques in the back of those metrics and grasp their calculation!
OA, or Open Get right of entry to, refers to freely to be had analysis. PR1 and PR2 are metrics regularly used to evaluate the affect of publications, however their exact calculation strategies can range relying at the explicit context and supply.
Advent to OA, PR1, and PR2
Open Get right of entry to (OA), PR1, and PR2 are the most important metrics within the realm of educational publishing and analysis analysis. OA indicates the unfastened availability of scholarly paintings on-line, taking away conventional obstacles to get entry to. PR1 and PR2, regularly a part of quotation research, quantify the affect of a e-newsletter in accordance with citations gained inside a particular time-frame. Figuring out those metrics is very important for researchers, publishers, and establishments striving to guage and fortify the affect in their paintings.Those metrics are extensively utilized in educational promotion, grant programs, and total analysis affect evaluation.
The accessibility of OA publications advantages the wider analysis neighborhood by means of enabling better wisdom dissemination and collaboration. PR1 and PR2 supply a quantitative measure of the way a lot a e-newsletter is getting used and cited by means of different researchers, which is regularly regarded as a proxy for its significance and affect inside a particular box.
Definitions and Descriptions
Metric | Definition | Description |
---|---|---|
Open Get right of entry to (OA) | Loose on-line availability of scholarly analysis articles. | OA publications are out there to any person with an web connection, not like conventional subscription-based journals. This promotes wider dissemination of information and higher collaboration amongst researchers. |
PR1 | Quotation rely inside the first 12 months of e-newsletter. | PR1 measures the quick affect of a analysis article. A excessive PR1 suggests important passion and engagement by means of the analysis neighborhood within the first 12 months after e-newsletter. |
PR2 | Quotation rely inside the first two years of e-newsletter. | PR2 expands on PR1 by means of together with citations gained all through the second one 12 months. It supplies a extra complete image of a e-newsletter’s affect inside the first two years of its unencumber. |
Other Calculation Strategies
PageRank (PR) calculations, in particular PR1 and PR2, have advanced through the years. Early iterations depended on more effective algorithms, however fashionable strategies make use of extra refined ways. Figuring out those diversifications is the most important for comprehending the intricacies of PageRank and its affect on search engine marketing ().Quite a lot of strategies exist for calculating PageRank, each and every with its personal strengths and weaknesses. Other algorithms seize other sides of hyperlink construction and affect, resulting in various effects.
The selection of manner regularly depends upon the precise targets of the research and the to be had knowledge.
Other PageRank Calculation Approaches
A number of approaches exist for calculating PageRank, each and every with its personal method and iterative procedure. Figuring out those strategies lets in for a deeper perception into the PageRank set of rules and its software.
- Iterative Manner: This technique is a foundational method. It starts with an preliminary PageRank distribution and iteratively refines it in accordance with the hyperlink construction of the internet. This iterative procedure converges against a solid PageRank distribution. The calculation comes to distributing the rank rankings from high-authority pages to these they hyperlink to, regularly adjusting rankings around the community.
- Matrix Manner: This method makes use of a matrix illustration of the internet graph to calculate PageRank. The matrix, regularly a big sparse matrix, encodes the hyperlink construction between pages. Eigenvalue decomposition or iterative strategies are hired to search out the eigenvector representing the PageRank rankings. This technique supplies a extra mathematical and structured approach of viewing the calculation. It is computationally extensive for terribly extensive graphs.
Instance of Iterative Calculation
The iterative manner comes to a number of steps. Believe a simplified instance with simplest 3 pages (A, B, and C).
- Preliminary PageRank: Assign an preliminary PageRank worth to each and every web page (e.g., 1/3 for each and every web page).
- Hyperlink Distribution: Web page A hyperlinks to pages B and C. Web page B hyperlinks to web page A. Web page C hyperlinks to pages A and B. The PageRank of A is sent proportionally to the pages it hyperlinks to. On this case, A distributes 1/3 of its PageRank to B and 1/3 to C.
- Iteration: This procedure is repeated a couple of instances, updating the PageRank of each and every web page in accordance with the PageRank of the pages linking to it. The iterative calculations will ultimately converge against a solid PageRank distribution. The precise steps is dependent upon the precise implementation.
- Convergence: The method continues till the PageRank values for each and every web page stabilize. This means that the set of rules has reached a gentle state, reflecting the relative significance of each and every web page inside the graph.
Comparability Desk of Calculation Strategies
The next desk summarizes the important thing variations between iterative and matrix strategies for calculating PageRank.
Characteristic | Iterative Manner | Matrix Manner |
---|---|---|
System |
|
|
Computational Complexity | Typically decrease for smaller graphs, can also be manageable for medium-sized graphs | Upper, regularly requiring considerable computational assets for massive graphs |
Figuring out | Moderately simple to grasp the method | Extra advanced, requiring a deeper figuring out of linear algebra |
Convergence | Steadily converges to a solid resolution | Convergence depends upon the process used for locating the eigenvector |
Information Necessities and Assets

Correct calculation of Operational Agility (OA), Undertaking Readiness Stage 1 (PR1), and Undertaking Readiness Stage 2 (PR2) hinges severely at the high quality and relevance of the underlying knowledge. Faulty or incomplete knowledge immediately affects the reliability of the calculated values, doubtlessly resulting in incorrect tests and useless decision-making. Figuring out the forms of knowledge required and their resources is paramount for generating faithful effects.
Information Varieties for OA, PR1, and PR2 Calculation
The information wanted for those calculations fall into a number of key classes. Very important metrics come with venture timelines, useful resource allocation, finances adherence, and possibility tests. Quantitative knowledge on process of entirety charges, dependencies between duties, and useful resource availability are essential. Qualitative knowledge, reminiscent of stakeholder comments, crew morale, and the perceived degree of venture readability, supplies context and nuance to the quantitative measures.
Information Assets for OA, PR1, and PR2
Quite a lot of resources can furnish the knowledge required for those calculations. Interior venture control methods, reminiscent of Jira, Asana, or customized databases, are regularly the principle repositories for quantitative venture knowledge. Those methods monitor development, closing dates, useful resource usage, and finances spending. Moreover, conversation logs, stakeholder surveys, and interior venture reviews be offering precious insights into qualitative elements, together with stakeholder issues, crew dynamics, and venture readability.
Exterior knowledge resources, reminiscent of trade benchmarks and competitor analyses, can also be useful for context and comparability.
Significance of Information Accuracy and Reliability, How one can calculate oa pr1 pr2
Information accuracy is paramount for exact calculations of OA, PR1, and PR2. Faulty knowledge can skew the consequences, resulting in misinterpretations of the venture’s present state and possible long term results. Information reliability is similarly the most important; making sure the knowledge’s beginning and verifying its integrity is very important. For example, manually entered knowledge would possibly include mistakes if no longer moderately reviewed.
In a similar way, depending on old-fashioned or incomplete knowledge units can produce deceptive tests. The trustworthiness of the consequences hinges immediately at the reliability and high quality of the enter knowledge.
Information Supply Desk
Information Supply | Form of Data |
---|---|
Undertaking Control Device (e.g., Jira, Asana) | Activity of entirety charges, timelines, useful resource allocation, finances knowledge, dependencies between duties |
Stakeholder Surveys | Stakeholder comments, issues, belief of venture readability, crew morale |
Interior Undertaking Stories | Undertaking development summaries, possibility tests, useful resource availability updates |
Verbal exchange Logs | Dialogue threads, emails, and different varieties of conversation offering insights into venture problems, resolutions, and crew interactions |
Business Benchmarks | Moderate venture of entirety instances, useful resource usage charges, and not unusual demanding situations in equivalent initiatives |
Sensible Utility Examples: How To Calculate Oa Pr1 Pr2
Figuring out OA (Alternative House), PR1 (Number one Explanation why 1), and PR2 (Number one Explanation why 2) is the most important for strategic decision-making. Sensible software lets in companies to spot key spaces for expansion, perceive the using forces in the back of marketplace developments, and allocate assets successfully. The next examples exhibit how those calculations are utilized in real-world eventualities.
Actual-International State of affairs: Marketplace Enlargement
A tech corporate, “InnovateTech,” is thinking about increasing into a brand new marketplace section. They wish to decide the possible profitability and establish the principle causes in the back of possible good fortune or failure. Making use of OA, PR1, and PR2 calculations is helping them overview the viability of this enlargement.
Detailed Calculation Instance
InnovateTech identifies a possible alternative house (OA) within the good house equipment marketplace. They hypothesize that expanding call for for energy-efficient home equipment will force marketplace expansion. They then establish the 2 number one causes (PR1 and PR2) in the back of this expansion:
- PR1: Emerging calories prices incentivize shoppers to undertake energy-efficient home equipment.
- PR2: Executive incentives for energy-efficient merchandise stimulate call for.
To estimate the possible marketplace measurement, InnovateTech collects knowledge on calories intake developments, executive insurance policies, and competitor choices. The information presentations an expanding call for for energy-efficient home equipment previously 3 years, with a projected expansion price of 15% yearly. The federal government incentives are projected to stay in position for the following 5 years.
Information Used:
- Present Marketplace Dimension: $5 Billion
- Projected Expansion Fee: 15% yearly
- Projected Length of Executive Incentives: 5 years
Calculation (Illustrative):
The usage of a easy expansion style, InnovateTech estimates the possible marketplace measurement in 5 years: Marketplace Dimension (12 months 5) = Marketplace Dimension (12 months 0)
(1 + Expansion Fee)^5
Marketplace Dimension (12 months 5) = $5 Billion – (1 + 0.15)^5 Marketplace Dimension (12 months 5) = $9.7 Billion
This calculation suggests a considerable alternative within the good house equipment marketplace, pushed by means of the known PR1 and PR2. The projected marketplace measurement is a the most important issue for useful resource allocation and long term product construction.
Abstract Desk of Eventualities and Calculations
State of affairs | Alternative House (OA) | Number one Explanation why 1 (PR1) | Number one Explanation why 2 (PR2) | Calculation Kind | Estimated Consequence |
---|---|---|---|---|---|
Marketplace Enlargement into Sensible House Home equipment | Expanding call for for energy-efficient home equipment | Emerging calories prices | Executive incentives | Easy Expansion Fashion | Possible marketplace measurement of $9.7 Billion in 5 years |
New Product Release in E-Trade | Rising on-line buying groceries pattern | Higher web penetration | Comfort of on-line buying groceries | Regression Research | Projected gross sales of one million devices within the first 12 months |
Equipment and Device for Calculation
A wide selection of instrument and gear are to be had to streamline the calculation of Open Get right of entry to (OA) metrics, together with Article Processing Fees (APCs), and Put up or Perish (PR1 and PR2) metrics. Those gear automate advanced calculations, scale back handbook mistakes, and supply complete reporting functions, in the long run saving researchers and librarians precious time and assets. Choosing the proper instrument depends upon explicit wishes, finances, and technical experience.Efficient usage of those gear empowers researchers to as it should be assess their scholarly affect and monitor their development through the years.
In addition they facilitate complete research of the wider scholarly panorama, providing precious insights into the developments and patterns in publishing.
Spreadsheet Device (e.g., Microsoft Excel, Google Sheets)
Spreadsheet instrument supplies a fundamental but tough platform for calculating OA, PR1, and PR2 metrics. Their flexibility lets in for custom designed formulation and knowledge manipulation, making them appropriate for smaller-scale analyses and particular person analysis initiatives. Those gear are regularly readily to be had and require minimum coaching, thus presenting a cheap choice.
- Information Access and Group: Information can also be simply entered, arranged, and formatted inside spreadsheets. This structured method facilitates the enter of related knowledge, reminiscent of magazine titles, e-newsletter dates, and metrics related to articles.
- System Advent: Customized formulation can also be designed to calculate OA, PR1, and PR2 metrics immediately from the enter knowledge. Those formulation can also be tailored to fit explicit analysis questions and research goals.
- Barriers: Spreadsheet instrument would possibly not be offering refined visualization or reporting options in comparison to devoted statistical applications. For massive datasets, handbook calculations and method repairs can transform bulky.
Devoted Statistical Device (e.g., R, SPSS)
Devoted statistical instrument applications be offering complicated statistical modeling and visualization functions. Those gear excel at dealing with advanced datasets, appearing refined calculations, and producing detailed reviews. They’re regularly most well-liked for in-depth analyses and large-scale analysis initiatives.
- Complex Statistical Modeling: Those techniques permit for stylish statistical modeling, enabling researchers to investigate the connection between variables, reminiscent of e-newsletter counts and analysis investment, or read about the affect of more than a few elements on OA and PR1/PR2 metrics.
- Complete Visualization: Statistical instrument supplies complete visualization choices, permitting researchers to create insightful graphs and charts to constitute their findings and beef up their conclusions. Examples come with histograms, scatter plots, and line graphs as an example developments and patterns in analysis output.
- Information Control: Those techniques generally be offering effective knowledge control functions, taking into account the import, manipulation, and research of more than a few knowledge sorts, from uncooked knowledge to pre-compiled datasets.
- Studying Curve: The training curve for devoted statistical instrument can also be steeper than for spreadsheet instrument, requiring a extra considerable funding in coaching and technical experience.
Specialised OA Metrics Equipment (e.g., Dimensions, Scopus, Internet of Science)
Many educational databases, reminiscent of Dimensions, Scopus, and Internet of Science, be offering specialised gear for calculating and inspecting OA metrics. Those platforms regularly supply direct get entry to to complete knowledge units and integrated analytical purposes. Alternatively, those gear regularly require subscription charges.
- Information Get right of entry to: Those gear supply direct get entry to to complete knowledge units and facilitate the extraction of knowledge associated with OA publications, together with magazine titles, e-newsletter dates, and article quotation counts. The ideas is usually arranged and structured, which simplifies knowledge enter and research.
- Built-in Metrics: They regularly combine OA metrics immediately into their platform, facilitating effective calculation and research. This avoids the will for separate knowledge resources and handbook calculations.
- Complex Analytics: Specialised OA gear regularly be offering extra refined analytical functions, taking into account comparisons throughout other disciplines and analysis spaces, or comparisons through the years.
- Value: Those platforms usually contain subscription charges, which is usually a important funding, particularly for researchers or establishments with restricted budgets.
Comparability Desk of Calculation Equipment
Software | Ease of Use | Information Dealing with Capability | Analytical Functions | Value |
---|---|---|---|---|
Spreadsheet Device | Prime | Average | Fundamental | Low |
Devoted Statistical Device | Medium | Prime | Complex | Medium to Prime |
Specialised OA Metrics Equipment | Variable | Prime | Complex | Prime |
Interpretation and Research of Effects

Decoding the result of OA, PR1, and PR2 calculations is the most important for figuring out the efficiency of a given entity. This comes to inspecting the numerical outputs to spot developments, patterns, and possible implications. Other results characterize various ranges of affect and affect, highlighting strengths and weaknesses in several sides of the analysis. Prime or low values for those metrics supply insights into the entity’s place relative to its friends and the entire marketplace panorama.Efficient interpretation comes to extra than simply taking a look on the numbers; it necessitates a deeper figuring out of the context and elements influencing the calculation.
This segment will delve into the importance of various results and illustrate find out how to assess the results of excessive or low values for OA, PR1, and PR2.
Importance of Other Results
Figuring out the context surrounding the calculations is paramount to deciphering the consequences. A excessive ranking in a single metric could be superb in a single trade however reasonable or deficient in some other. For instance, a excessive OA ranking would possibly point out outstanding total efficiency in a aggressive marketplace, whilst a equivalent ranking in a much less saturated marketplace is probably not as important.
In a similar way, excessive PR1 or PR2 rankings may just replicate robust relationships or a well-established community, however the explicit interpretation relies closely at the trade and the traits of the entities being when compared.
Possible Implications of Prime and Low Values
The results of excessive or low values for OA, PR1, and PR2 are multifaceted. Prime OA rankings in most cases point out a robust and influential presence, whilst low rankings recommend a weaker presence. Prime PR1 and PR2 rankings recommend tough relationships and a well-established community, whilst low rankings point out possible boundaries in those spaces.
Illustrative Desk of Results and Meanings
Metric | Prime Worth | Low Worth | Possible Which means |
---|---|---|---|
OA | Robust presence, excessive affect, aggressive benefit | Weaker presence, much less affect, possible for growth | Prime OA may just point out a vital marketplace percentage or robust emblem reputation, whilst a low ranking would possibly recommend a necessity for higher visibility or outreach methods. |
PR1 | Robust relationships, efficient community, get entry to to assets | Restricted relationships, weaker community, possible useful resource boundaries | Prime PR1 signifies a well-connected community, doubtlessly resulting in collaborations, partnerships, or get entry to to precious assets. Conversely, a low PR1 would possibly sign a wish to domesticate relationships and construct a more potent community. |
PR2 | Robust collaborations, strategic alliances, get entry to to specialised experience | Restricted collaborations, fewer strategic alliances, doubtlessly restricted get entry to to specialised experience | Prime PR2 suggests a vital presence in strategic collaborations and get entry to to numerous experience, doubtlessly resulting in innovation and marketplace management. Low PR2 would possibly point out a wish to foster collaborations and search partnerships with complementary entities. |
Not unusual Pitfalls and Mistakes
Calculating Alternative Evaluation (OA), Profitability Ratio 1 (PR1), and Profitability Ratio 2 (PR2) calls for meticulous consideration to element. Mistakes in knowledge assortment, calculation, or interpretation can considerably affect the accuracy and reliability of the consequences. Figuring out possible pitfalls is the most important for generating significant and actionable insights.Mistakes in those calculations can result in misinterpretations of commercial efficiency, incorrect strategic selections, and in the long run, diminished profitability.
In moderation scrutinizing the knowledge assortment procedure and calculation strategies is helping to keep away from those pitfalls and guarantees the reliability of the findings.
Information Assortment Mistakes
Faulty or incomplete knowledge is a common supply of mistakes in OA, PR1, and PR2 calculations. Information assortment strategies will have to be rigorous and well-defined to attenuate those mistakes.
- Faulty Information Access: Handbook knowledge access is at risk of human error. Errors in typing figures, the usage of improper devices, or transcribing knowledge from one supply to some other can result in important inaccuracies. The usage of computerized knowledge access methods and cross-checking knowledge access with unique resources reduces the danger of this mistake.
- Incomplete Information Units: Lacking knowledge issues can skew effects, in particular when calculating ratios. For instance, lacking gross sales figures for a particular product line may just result in faulty PR1 calculations. Methods for dealing with lacking knowledge, reminiscent of the usage of imputation ways or taking away related knowledge issues, will have to be obviously explained and documented.
- Information Inconsistency: Inconsistent devices of size or other time classes for knowledge assortment could cause discrepancies. For example, evaluating gross sales figures in US bucks to these in Euros with out conversion or evaluating quarterly figures with annual figures, with out right kind scaling, can create false impressions.
Calculation Mistakes
Mistakes within the calculation procedure can rise up from misunderstandings of the formulation or improper software of mathematical operations.
- System Misapplication: The usage of the improper method for calculating a selected ratio or neglecting a the most important step can result in faulty effects. Totally figuring out the formulation for OA, PR1, and PR2, and meticulously following the stairs of each and every calculation are crucial to keep away from this mistake. A complete assessment of the formulation is really helpful.
- Mathematics Mistakes: Basic math errors, reminiscent of improper addition, subtraction, multiplication, or department, can result in faulty effects. The usage of spreadsheets or calculators to accomplish those calculations and checking the consequences for accuracy can decrease the danger of those mistakes.
- Rounding Mistakes: Rounding figures to an irrelevant collection of decimal puts can result in cumulative mistakes, in particular in calculations involving many variables. The usage of constant rounding regulations and strategies is essential.
Averting Pitfalls
Imposing tough knowledge assortment procedures, the usage of suitable calculation strategies, and using high quality assurance exams are crucial steps to attenuate mistakes.
- Information Validation: Imposing knowledge validation regulations all through knowledge assortment and access can save you the enter of inaccurate knowledge.
- Common Verification: Continuously reviewing the knowledge assortment procedure and calculations is helping to discover and rectify mistakes.
- Unbiased Verification: Having a 2d individual assessment the knowledge and calculations can lend a hand to spot mistakes and make sure accuracy.
Abstract of Not unusual Pitfalls and Answers
Not unusual Pitfalls | Answers |
---|---|
Faulty Information Access | Computerized knowledge access methods, cross-checking with unique resources |
Incomplete Information Units | Methods for dealing with lacking knowledge, e.g., imputation, elimination of related knowledge issues |
Information Inconsistency | Make sure that constant devices and time classes for knowledge assortment |
System Misapplication | Thorough figuring out of formulation, meticulous following of calculation steps |
Mathematics Mistakes | The usage of spreadsheets/calculators, checking effects for accuracy |
Rounding Mistakes | Constant rounding regulations and strategies |
Complex Concerns
Past the basic calculations of Alternative Evaluation (OA), PR1 (Product Readiness 1), and PR2 (Product Readiness 2), a number of complicated sides and possible boundaries warrant attention. Figuring out those nuances is the most important for correct interpretation and efficient decision-making. Subtle fashions regularly incorporate contextual elements, and the standard of enter knowledge considerably affects the output’s reliability.Complex calculations regularly contain extra advanced knowledge research ways, together with the combination of exterior elements, like marketplace developments and aggressive panorama.
This regularly necessitates the usage of specialised instrument and gear, and cautious attention of possible biases within the knowledge. Moreover, the translation of effects necessitates an intensive figuring out of the context during which those metrics are implemented.
Dealing with Uncertainties and Information Gaps
Information assortment for OA, PR1, and PR2 tests can now and again be incomplete or include uncertainties. Suitable methodologies for dealing with lacking or inconsistent knowledge are essential for tough research. This comprises using statistical ways to estimate lacking values or the usage of sensitivity research to guage the affect of uncertainties at the calculated metrics. Powerful fashions incorporate strategies for quantifying those uncertainties and speaking the related dangers.
Exterior Components and Contextual Research
Exterior elements like marketplace developments, aggressive landscapes, and regulatory adjustments can considerably affect the evaluation of OA, PR1, and PR2. Complete research regularly calls for incorporating exterior knowledge resources and incorporating those elements into the calculation style. This will likely contain the usage of situation making plans to guage other imaginable long term states. For instance, an expected build up in uncooked subject material prices may just negatively have an effect on a product’s projected profitability.
Fashion Validation and Calibration
The accuracy and reliability of the fashions used for calculating OA, PR1, and PR2 are the most important. Fashions will have to be conscientiously validated the usage of historic knowledge and examined towards life like eventualities. Calibration comes to adjusting style parameters to make sure alignment with noticed marketplace realities. This iterative procedure guarantees the style stays related and correct in predicting long term results.
Desk Summarizing Complex Concerns
Facet | Description | Have an effect on |
---|---|---|
Information Gaps | Lacking or inconsistent knowledge in calculations. | Possible for faulty estimations and unreliable effects. |
Exterior Components | Marketplace developments, aggressive panorama, and regulatory adjustments. | Affect on product viability and profitability; require incorporation into the style. |
Fashion Validation | Rigorous checking out of fashions towards historic knowledge and eventualities. | Guarantees style accuracy and reliability; mitigates possibility. |
Uncertainty Quantification | Statistical ways to estimate lacking values and quantify dangers. | Advanced accuracy and transparency of effects, together with possible dangers. |
Wrap-Up
So, there you’ve got it – a complete information to calculating OA, PR1, and PR2. Now we have lined the basics, numerous calculation strategies, and the sensible implications of those metrics. Bear in mind, correct knowledge and right kind interpretation are key to deriving significant insights. Via following this information, you can be well-equipped to navigate the arena of educational analysis metrics with self assurance.
Very important FAQs
What’s the distinction between PR1 and PR2?
PR1 and PR2 are regularly utilized in educational publishing to measure the affect of publications. PR1 usually makes a speciality of quotation counts inside a particular time period, whilst PR2 would possibly believe a much wider vary of things just like the affect and status of the bringing up publications.
What knowledge resources are dependable for calculating those metrics?
Dependable knowledge resources for OA, PR1, and PR2 calculations come with respected educational databases, quotation indexes, and institutional repositories. Accuracy and consistency in knowledge assortment are the most important.
What are some not unusual mistakes in calculating OA, PR1, and PR2?
Not unusual mistakes come with improper knowledge enter, misinterpreting the precise calculation strategies, and overlooking the context of the metrics. In moderation reviewing the calculation steps and making sure knowledge accuracy is essential.
Are you able to supply a easy instance of a PR1 calculation?
Let’s consider a paper printed in 2021 receives 10 citations in 2022. The usage of a particular PR1 manner, this could be regarded as a excessive affect outcome. Alternatively, the precise calculation depends upon the supply and manner used.