Thursday, October 31, 2019

DYADIC RELATIONSHIPS and (B) CHARISMATIC AND TRANSFORMATION LEADERSHIP Case Study - 1

DYADIC RELATIONSHIPS and (B) CHARISMATIC AND TRANSFORMATION LEADERSHIP - Case Study Example e to share their part of version over a particular issue; this gives subordinates confidence and sense of ownership that they are a valuable part of the organisation. And, at the same time, this brings total and practical rather than superficial participation in decision making, besides, this exchange relationship motivates them to avail more subordinate autonomy. In these times, many would not disagree that organisations succeed when they allow their organisational leadership to extend autonomy and ensure the concept of decentralisation aggregately. 2. Comment on â€Å"Dyadic relationships typically progress through a series of ups and downs with shifts in attitudes as the two parties attempt to reconcile their desire for autonomy with their desire for closer involvement† The LMX theory is under-developed. It has yet to fully define the all areas and way exchange relationships evolve over time (Yukl, 2010, p.239). This theory suggests that exchange relationships construct and evolve in a very smooth but continuous fashion, taking their base from the initial impressions. However, some longitudinal studies contend that the LMX relationships develop faster and remain stable. But, other researches do not agree with this claim, they contend that dyadic relationships undergo a series of ups and downs, where roles of behaviours cannot be undermined. The closer elaboration surfaces some facts. Without any doubt, perceptions play a vital role in developing or dissolving any exchange relationships. Many further studies within this area would greatly be helpful in analysing and understanding the each party’s perceptions of the relationships. Charismatic leaders are by nature transformational (Lussier, 2010, p.349). However, not all transformational leaders become successful in achieving their transforming results via the charismatic of their personalities. Charismatic leaders prefer to promote their personal image and identification in contrast to transformational

Tuesday, October 29, 2019

Successfull retention tools of American Businesses Term Paper

Successfull retention tools of American Businesses - Term Paper Example It is also costly to the company. Labor turnover and attrition is costly not only in terms of resources but also in precious time of training new employees. It will take time until a new employee will be able to yield the same output like the one that has left and it is also is an opportunity lost to the company. It may be tempting to disregard a company’s retention program because rewards incur cost. But it has to be kept whatever the economic circumstances because in the final analysis, the cost of rewards is more than justified considering the opportunity cost of losing an organization’s best talent (Frasch, 201). It is worth noting that at the aftermath of the recent financial crisis, the survey conducted by Nashville, Tennessee based OI Partners found that an alarming 64 percent of companies â€Å"are concerned that they may lose managers when the job market improves† and that includes a 48 % likelihood of losing their executives (Frash, 2011). Such, a revisit on the successful tools of retaining best talents in an organization would be necessary to prevent the likelihood of an impending labor turnover. Given with the changing economic landscape brought by the recent crisis, it is becoming difficult for companies to financially reward their employees because of financial constraints. Many are even cutting wages as a cost cutting measure to weather the recent economic turmoil (O’Hara, 2011). On the other hand, about 65 percent of employees are beginning to be sensitive to pay increase as a motivation for them to stay with their current employer as reflected in the survey from Marlborough, Mass.-based benefits and compensation consultant Workscape (O’Hara, 2011). This economic difficulty however should not prevent companies to strive to keep their best employees. Nor should they disregard because of the costs associated

Sunday, October 27, 2019

Advantages And Limitations Of Mobile Applications Information Technology Essay

Advantages And Limitations Of Mobile Applications Information Technology Essay Mobile applications are a quickly emerging section of the overall mobile market. These applications are made up of software that runs on a mobile device and carry out specific tasks for mobile phones and Pocket PCs. The focus of this paper is to describe the business advantages and limitations of the Best Buy Geek Squads wireless Pocket PC mobile devices and how they overcame those limitations. Additionally, describe the software development challenges of wireless mobile devices and how Medstar Health and Unifi met those challenges. Lastly, identify the advantages and limitation of companies using software packages already unavailable for use with wireless devices. Best Buy Background For many of todays businessman, Pocket PCs have become like another appendage. While there are some definite advantages to carrying a Pocket PC, its easy to overlook some of the obstacles associated with conducting business on them. The Geek Squad is an ancillary of the Best Buy Company which is headquartered in Richfield, Minnesota. The company offers a variety of computer-related services for both residential and commercial customers. Geek Squad agents provide both in-store, on-site services, as well as, Internet, and additionally also provides 24-hour telephone and emergency support. Best Buys agents are equipped with Sprint PPC-6700 Smart Devices, a Pocket PCs/cell phone combination that run on Windows Mobile 5.0 (OBrien Marakas, 2008). Advantages and Limitations There are many advantages to the Geek Squad Agents using the Sprint PPC-6700 Smart Device. One advantage is that these devices have full access to Sprints EV-DO third-generation cellular network, and have complete Web browsing capabilities (Geek Squad, 2010). When an agent is on the road and needs directions to his next job, he can quickly access Google or Yahoo maps and easily navigate to his destination, rather than having to fumble around with a map or to call back to Best Buy dispatchers. Additionally, agents can use their wireless devices to log onto Best Buys order system where they can obtain price quotes, process payments, complete transactions, and generate receipts for the customers. As with most devices, the Sprint PPC-6700 does have a down side. The problem the Geek Squad agents are having with this device is the small slide-out keyboard. The small keyboard limits their ability to type quickly and accurately, therefore wasting precious time (OBrien Marakas, 2008). Overcoming Limitations Along with battery life, inputting text is one of the most difficult problems for users of mobile devices. First and foremost, the problem is lies in the physical size of the keyboard, followed by the conflicting needs of speed and familiarity. As wireless data services flood into the market, the need for efficient text entry is becoming ever more critical, yet essential tradeoffs limit the practical options. Best Buy solved its problem with the Sprint PPC 7600 with the use of handwriting recognition software. Handwriting recognition is a method by which a computer system can recognize letter, characters and other symbols written by hand in ordinary handwriting. This type technology is generally used on devices such as PDA and Pocket PCs where a stylus is used to write on a screen, after which the computer program converts the handwriting into digital text (Handwriting Recognition, 2009). Geek Squad agents can hand write notes that go directly into Best Buys order system to be used a reference for later transactions. The next time a customer calls in with a problem, the agent can quickly pull up his notes for quicker and more reliable customer service. Prior to this technology, agents would have to wait until they got back to the office to enter the customers information into the system. According to one agent, it saves them 10-15 minutes that could have otherwise been spent helping a customer or traveling to the next job (OBrien Marakas, 2008). Although this is a big improvement, Best Buy is not fully content with the limitations of the current handwriting recognition software. They are now testing voice recognition software will permit agents to open and close programs with voice prompts allowing for quicker and better customer service. Voice recognition is a computer technology that uses audio input for a means of entering data instead of the using a keyboard. Speaking into a microphone delivers the same result as typing words physically with a keyboard. Vo ice recognition software is constructed with a database of identifiable words or phrases. The computer program matches up the voice audio signature with the equivalent entry in the database (Voice Recognition, 2009). Although, changing speech into text might sound simple, it is enormously difficult. The problem starts with an almost infinite assortment of speech patterns and accents, compounded by the tendency for people to run words together or the use of slang words. Software Development Challenges Mobile systems and mobile applications have gained a lot of attention both in research and industry over the last years. The market share of mobile devices is constantly growing. More and more, users expect their mobile devices to provide functionality similar to the one they know from their desktop computers, but also to provide additional, mobile device specific functionality, like location based services. However, software development for mobile devices is still cumbersome and a methodology geared towards supporting the development of such mobile applications is still lacking. One key factor for the commercial success of mobile devices is the quick development of software applications (Software Challenges, 2010). On the other hand, developing mobile software can be especially difficult since applications need to be conscience of and adapt to changing resources such as battery life and bandwidth. At one point in time it appeared like some standardization might occur and a common platform emerge, but most attempts have stumbled, and ultimately come up short of the ideal they set out to accomplish. None of these approaches were specifically at fault. They each simply met a specific set of needs during which the evolution of mobile devices that made the best of existing hardware and bandwidth limitations. The problem that each of them faced was the speed of evolution of mobile technology (Grotnes, 2009). It is true that mobile devices are still restricted by screen size, lack of a full size keyboard, and limited bandwidth. But there are already plenty of mobile devices with readable screens, 3D graphics, touch screens, accelerometers, compasses, and GPS capability. The functionality is in place for some outstanding state of the art applications and for smart developers to exploit. On the other hand, there is little standardization as hardware manufacturers struggle to get the best out of their devices (Grotnes, 2009). Conquering Challenges MedStar Health is a non-profit healthcare organization that is facing similar software development challenges. MedStars IT department supports thousands of nurses and doctors, who use a multitude of mobile devises such as Pocket PCs, PDA, Blackberrys, and Palm Treos. Since there is no clear cut leader in mobile technology, it is hard for MedStars IT Department to push for a standard device. Because MedStars nurses and doctors are not forced to use a standard device, it is difficult for their IT Department to keep up with new mobile devices and ensure they are compatible with the companys applications. To overcome these challenges, MedStar thought outside the box and worked with vendor to tailor applications that would work on a wide range of devices. MedStar chose to work with Siemens Medical Solutions and came up with a software solution that allows medical practitioners to access their patients information through Siemens Invision mainframe using any of their mobile devices. This t ype of thinking by MedStars IT Department allowed the company to meet its goals without having to sacrifice any functionality. Many times off-the- shelf applications will not meet the needs of a customer and may require some tweaking by the manufacturer to accommodate its customers specific needs. Conclusion A management information system is a system or process that provides information needed to manage organizations effectively (Computer and Information Systems Managers, 2010). As with the case of Best Buy and MedStar, their overall strategies were affected by MIS. Best Buy chose to use standard mobile devices and off-the-shelf applications to meet both its customers and employees needs. Whereas MedStar, decided it was better for them to develop specific software to overcome their challenges. Neither way is right or wrong, it just depends on your specific situation and needs. In a slowing economy, MIS strategies would definitely have to be reevaluated to ensure the organization is being managed effectively. In the case of MedStar, I would opt for the strategy the Geek Squad took with standardizing mobile devices and using off-the-shelf applications. In a slowing economy, this would save a considerable amount of time and money not having to develop software that is compatible for a mult itude of different devices. Additionally, a smaller IT Department could be utilized, saving thousands of dollars in nonessential personnel.

Friday, October 25, 2019

Catcher In The Rye :: Essays Papers

Catcher In The Rye â€Å"Oh literature, oh the glorious Art, how it preys upon the marrow in our bones. It scoops the stuffing out of us and chucks us aside† (David Herbert Lawrence). Well-written works of literature have the undeniable ability to kidnap readers, carry them away into the story’s imaginary world, and hold the reader for ransom, away from a world where they may not be anticipating the return. This type of literary escape is scarce in today’s fast-paced society. One is submitted into a fantasy, in which opinions and ideas about the characters and situations expand beyond all possibilities. Literature acts as a valuable aid for self-growth; it nourishes intellect, cheers one up, or relaxes mind and spirit. Nikki Giovanni asks the question, â€Å"ever been kidnaped/by a poet† (Giovanni 346). If one has not yet been enriched by this feeling, the mystery must be unveiled. To say that I have experienced this feeling from only one piece of literature would prove a great injustice to my literary history. There have been countless moments in my life where I have left time and place to enter a world created by the author, but perfected by my own interpretations and impressions. The literary work that stands out most my mind is The Catcher in the Rye by J.D. Salinger. This is one of the most absorbing novels I had the privilege to read. The plot of this story concerns a young man, Holden Caulfield, being expelled from one of a long list of schools. The intriguing part of this story is how he perceives and understands his own human condition. He experiences unexplained depression and erratic behavior, which leads to an eventual nervous breakdown in a world he views as invaded by â€Å"phony† adults who corrupt innocent children. The title is justified when Holden is talking to his little sister. She asks what he wants to be when he grows up. He asks her if she’s ever heard the song â€Å"If a body catch a body comin’ through the rye.† He continues: I keep picturing these little kids playing some game in this big field of rye and all. Thousands of little kids, and nobody’s around-nobody big, I mean-except me. And I’m standing on the edge of some crazy cliff.

Thursday, October 24, 2019

Biodiesel Investigation Essay

‘Biodiesel is a clean burning renewable fuel made using natural vegetable oils and fats.1 Biodiesel is a revelation to chemists, engineers and environmentalists who are looking for more sustainable ways to make use of fuels. Since it is a natural and renewable fuel, it can be fitted in as a substitute for petroleum diesel, which is the substance conventionally used in automobile transport. Biodiesel is normally utilised as a replacement for petroleum diesel fuel or can be blended together with petroleum diesel fuel in any ratio. Biodiesel is a biodegradable substance with a lower toxicity in comparison to petroleum diesel fuel and is preferred as it is safer to handle since there is little human risk involved in its handling. The use of biodiesel as a petroleum substitute reduces the degree of exhaust emission. Biodiesel are notorious for their easy use in terms of how they can easily be pumped and stored in existing engines without having to make major industrial alterations to the engines themselves. They are usually blended together with petroleum fuels in order to create the optimal usage in engines. The output yield of biodiesel is I had never really heard of biodiesel until it was a topic covered in school. After finding out what biodiesel was, I looked into the IB chemistry syllabus to see what points it had on biodiesel and looked further into the applications of biodiesel as well as the process of transesterification and what is involved. My personal interest was sparked from my curiosity of how to obtain my own sample of biodiesel after I found out about its many uses. My high school chemistry department provided us with a set of materials and allowed us to investigate our own ways of obtaining biodiesels and I was keen to see what I could do with a sample of this versatile substance. I do feel as though this is an important experiment to engage in as scientists find biodiesels an extremely useful substance to use in machines and such. To try an experiment which involves looking at factors that can change the output of the product, would be a stepping stone to building a stronger understanding on the substance itself and how more of it can be obtained and perhaps what benefits it may serve. The experiment conducted was intent on looking at a certain independent variable (the concentration) that would affect the yield of biodiesel produced in experiment. The research question for this is: How the concentration of Potassium Hydroxide solution would affect the yield of biodiesel when transesterified with a standard sample of vegetable oil. Background: To look at the scientific aspect of it, biodiesels are a form of methyl esters, an organic chain compound that has a set of properties. The experiment involves the reaction between vegetable oil and potassium hydroxide and methanol mixed together. The equation for the reaction of the transesterification is: Vegetable Oil (l) + (3)HOCH3 + (NaOH catalyst) ——> C3H8O3 + 3-methyl ester 1 Biodiesel Basics This valuable renewable fuel resource is not vegetable oil, but instead formed from the organic chain compound. It is 3-methyl ester and has the following chemical structure: Fig. 1 The diagram on the left shows the transesterification process that forms two products (Glycerol and A 3-methyl ester). The experiment conducted involves potassium hydroxide as a catalyst instead of sodium hydroxide. Furthermore the biodiesel product of this varies from the other structured methyl ester that usually come in The other product is glycerol, which is commonly found in soaps. This is a standard example of transesterification however the experiment that is attempted involves different reactants. The diagram below shows the process for this experiment and the outcomes. The temperature of the oil mixed with the methanol mixture will be measured and the experiment consists of five different solutions of KOH + methanol that will each be reacted with the vegetable oil. A magnetic stirrer will be used in the process to get the reaction going and afterwards the finalised solution will be placed in a centrifugal and the process of centrifugation will separate the solution into glycerol and biodiesel. The biodiesel will then be extracted to give a reading on percentage yield. The method was personally derived and many modifications were made to the initial standard procedure of mixing 50% concentration Potassium Hydroxide solutions with 10ml of vegetable oil and stirring on a magnetic stirrer for 10-15 minutes at a certain temperature was deemed to unsafe for students as the high concentration acid was extremely corrosive, had irritating effects and also raised environmental concerns as the organic waste disposal process was far more complicated when the substances would permeate a trash landfill. As a result the new method was made and the substances involved were altered significantly. The new method consists of a reaction with a 5g/100ml (KOH concentrated) mixture between potassium hydroxide and methanol. In each test, there is a varied use in the concentration of the methanol mixture and this is measured by an arbitrary percentage figure as well as a known uncertainty. Furthermore, the potassium hydroxide serves as a catalyst for the reaction. Equipment Used: Apparatus Uncertainty 10cm3 Measuring Cylinder 0.2ml Mass Balance 0.005g 50cm3 Beaker 5ml Magnetic Stirrer N/A Thermometer 0.5 ºc Magnet Capsule N/A Method: 1. To set up the equipment appropriately, use a 10cm3 Measuring Cylinder to measure out 10ml of vegetable oil, and keep aside separately. Measure 1.5ml of the 5g/100ml (1%) Potassium Hydroxide solution and place set aside in the measuring cylinder. Set up the magnetic stirrer, and measure the temperature of the oil using the thermometer. For this experiment, the oil (placed inside beaker) will need to be kept on the magnetic stirrer with the capsule inserted and heated to 31 ºc. Measure the mass of the empty beaker first using the mass balance and record. 1. Once the oil has been heated to the appropriate temperature, add the methanol-KOH solution with 1% concentration to the oil and allow the stirrer to stir at a constant temperature for approximately ten to fifteen minutes. After a few minutes of stirring and any visible physical/chemical changes have occurred, remove the beaker of mixture from the solution and set aside temporarily. 1. The methyl-ester biodiesel mixture is ready for centrifugation. Using the mass balance, measure out the mass of the beaker with the oil mixture that has just undergone transesterification and pour all the substance from the beaker into a centrifugal tube. 1. Repeat all the tests with the 2%,3%,4% and 5% concentration KOH mixtures in methanol. When repeating, remember to measure each separate beakers individual mass and use the stirrer to bring the temperature back up to 31 º. Once the temperature has hit 31 º, mix the KOH with the oil as done before and allow the stirrer to create a reaction between the substances. Keep making qualitative observations and recording changes in temperature from the reaction and record the mass of the final solutions once stirring. 1. Finally, once all the products have been reacted, place them in centrifugal tubes and insert the tubes into the centrifuge. The centrifugation process will separate the biodiesel and glycerol. Extract the thin biodiesel layer (on top), measure the mass of the biodiesel in the initial beaker and derive the percentage yield of biodiesel from the mass difference between the solutions, density from mass and volume and make observations on the mass obtained. Diagram of Process : Done On Skitch Variables: Safety And Environmental Measures: Plenty of glassware will be utilised throughout the experiment, and therefore it is essential that safety glasses are worn as extra precaution to protect eyes from broken glass. Furthermore, all glassware should be kept away from the edges of tables to prevent risk of damage. KOH – methanol mixture is labeled as an irritant and mildly Independent Variable: Concentration of KOH – Methanol Mixture as % value. Fixed Variables: * Temperature of Oil * Volume of Oil Used * Volume of KOH – Methanol Mixture Dependent Variable: % Yield of Biodiesel, Mass outcome of biodiesel from transesterification corrosive based on *Cleaps Hazcards and it is therefore advised to wear gloves. It is also advised to wear lab coats as products of transesterification may permanently stain clothing. Fortunately, there are no ethical concerns involved as only vegetable oil is being used and no animal substances. The biodiesel substance is biodegradable and can be easily disposed of in organic waste. *Cleaps cited in Bibliography Qualitative Observations: * In all tests after the oil was placed into the centrifuge, a gunky substance was formed from the separation into two layers, one being the biodiesel and it can be assumed that the gunky substance was glycerol (used in soaps). At times the position of the magnetic stirrer was not in place for some results, which may be a result of random error (anoma Error Calculations on Mass Example % Yield Calculations of Biodiesel 1% Concentration: Example Calculation [(0.052 à · 1.000) x 100%] + [(0.2 à · 10) x 100] + [(0.2 à · 1.5) x 100] + [(0.005 à · 5.962) x 100] = 5% + 2% + 10% + 0.08% = 17.08% Uncertainty ≈ 17% Absolute Uncertainty for 1% Concentration yield: 5.95g  ± 20% (1sf) 1% Concentration Solution: Mass of biodiesel Extracted: =5.952 ( ±0.005)g Total mass of oil Mixture (Products from transesterification reaction) 100 x (5.952 à · 33.119) ( ±0.1 *100) Approx 18% Yield ( ±0.3%) * lies) in results such as the 2% concentration. * The temperature of the magnetic stirrer would be set higher than 31 º, and many of the substances would exceed or be under the temperature of 31 º before the actual reaction began. * The volume of the oil and KOH mixture used in the second test may not have been the same amount as the first, which would cause an error in the percentage yield of biodiesels. Data Processing: 2% Conc. 3% + 2% + 10% + 0.08% = 15.08% ≈ 4.99g  ± 20% 3% Conc. 2% + 2% + 10% + 0.08% = 14.08% ≈ 6.84g  ± 10% 4% Conc. 1% + 2% + 10% + 0.08% = 13.08% ≈ 7.81g  ± 10% 5% Conc. 1% + 2% + 10% + 0.08% = 13.08% ≈ 7.97g  ± 10% Processed Data Table: Mass of Biodiesel (2DP) Total Uncertainty on Mass % Yield of Biodiesel+ Uncertainty-2sf Volume of Biodiesel Layer + Uncertainty Density of Biodiesel Uncertainty on Density Conclusion: Multiple inferences can be made from the data obtained. Firstly the clean burning renewable fuel has been formed from a derived method, in which a transesterification reaction has occurred between Methanol and Vegetable oil (using potassium hydroxide as a catalyst). It was expected that the increase in concentration of the KOH would cause a greater percentage and mass yield of biodiesel. Fortunately this expectation was met with the results provided, although there were a few given anomalies formed from the systematic errors present, it was evident that the experiment did match the initial hypothesis of an increase in biodiesel yield. Although the conclusion states than an increase in concentration of the KOH – Methanol substance would increase the yield of biodiesel in the product of transesterification, it must be understood that there were many imprecisions and boundaries for error were relatively high throughout the experiment. The primary reason for this is that only one test was conducted for each concentration, rather than gathering an average for each results, which was a result of time management problems. Despite the causes of error and uncertainties, the calculated average density of biodiesel produced was 1.23gcm-3. The literature value for this was given above (0.88) and this value has been taken from an experiment in which the yield of biodiesel was taken from vegetable oils using both sodium hydroxide and potassium hydroxide as the catalyst in the experiment. The experimental error for the density was extremely high, being around 40%. The general formula for calculating systematic error in experiments is as such: â€Å"Experimental error = {(Literature Value – Calculated Value) à · (Literature Value)} x 100 â€Å" The experimental error is actually the sum of the systematic and random error, (error which could influence one single result), and therefore varies for each result obtained. However the graph for the density shows the rising increase. Although a clean line of best fit cannot be placed upon the graph, it is clear that there is a steady rise in the output of biodiesel against the increase in initial concentration. It is evident that there was a random error for the 2% concentration with the mass output measured. This may have been a result of some of the substance spilling onto the stirrer during one of the measurements, when equipment was not handled appropriately. Since this only affected a single result, it was omitted from the graph, and the line of best fit was not inclusive of this result. Despite this, the error bar uncertainties are relatively high for the mass output, and therefore the min and max gradients vary highly, which means any value for output within this range would be regarded a systematic error in the experiment. In the density graph, the curve of best fit is exponential, and does not include the result obtained for 3% concentration, as this also appears to be slightly anomalous. It could also be regarded a random error as the gradient of the curve does not fit into the boundaries of uncertainty for this result. Reasons for this uncertainty could be a result of any of the limitations explored in the evaluation. Finally the percentage yield graph also has somewhat of a linear relationship between the output of biodiesel as a percentage of the total substance and the concentration increase together. The diagram (figure 4) shows a successful gathering of biodiesel, in which the top layer represents the biodiesel and the bottom layer the glycerol. There were other different physical appearances for other results (not photographed). Evaluation: Limitation Significance Possible Improvements Unknown layer between biodiesel and glycerol (Fig. x) It was difficult to distinguish whether this layer between the biodiesel and glycerol, (as photographically depicted above), could be counted as biodiesel and therefore it was either left out or in the measuring process, which would contribute to a systematic error of the yield of biodiesel being too high or low. To improve on this and reduce this uncertainty, a combustion test would need to be done on the biodiesel, as it is known to be flammable. The unknown substance should be tested with a flame test and if it burns, should be included in the yield measurements of biodiesel. Using Apparatus with a lower uncertainty for measuring out KOH – methanol substance The 10ml measuring cylinder used had an uncertainty of 0.2, which for 1.5cm3 of solution, was extremely high as a percentage uncertainty. Since this was used for all tests, it must be noted that this was also a contributing factor to the systematic error obtained for each test. To improve this, a different (more precise) piece of measuring apparatus, i.e a burette should’ve been used as it has an uncertainty of 0.05, which would’ve quartered the uncertainty on the potassium hydroxide mixture, and reduced the total uncertainty. Improper placement of beaker on magnetic stirrer Due to time limitations for conducting the experiment, multiple groups had to share the stirrer and therefore place two beakers with magnetic flea’s (capsules) atop the stirrer. This interfered with the ability for the maximum biodiesel output to be produced for each result, and since this only occurred for certain tests, would’ve contributed to any random errors present. To target this limitation, the best solution would be to find time to work on the experiment individually, so that the magnetic stirrer could be used for only one beaker. Impurity on biodiesel The substance measured may not be entirely biodiesel, but instead a mixture of biodiesel and glycerol that may have been extracted without notice. This would’ve caused a higher percentage yield of biodiesel to be measured rather than the actual amount. To add on to this limitation, the reason for an impurity would most probably be from a difficulty in distinguishing between the biodiesel and layer of glycerol. Any filtration process that could separate the biodiesel and the glycerol effectively, would be appropriate. The mixture should undergo centrifugation multiple times in order to separate the layers more clearly. Works Cited: â€Å"Biodiesel Basics – Biodiesel.org.† Biodiesel Basics – Biodiesel.org. Biodiesel Org, n.d. Web. 11 May 2015. Button, Scott. â€Å"Biodiesel: Vehicle Fuel From Vegetable Oil.† Energy & Environment 21.8 (2009): 1305-324. Web. Jamil, Cut Aisya Z., and (Ijera). Performance of KOH as a Catalyst for Trans-esterification of Jatropha Curcas Oil (2012): n. pag. 12 Mar. 2012. Web. 13 May 2015. â€Å"Secondary Science Hazcards.† Secondary Science Hazcards. N.p., n.d. Web. 13 May 2015. Images: â€Å"The Chemistry of Biodiesel | Biodiesel Project | Goshen College.† Academics. Goshen College, n.d. Web. 13 May 2015. All other images were personally taken and diagrams constructed using Skitch.

Wednesday, October 23, 2019

Leadership and Tech Final Exam

In my business there are 3 types of Leadership levels there is the lead man that's a technical expert and guides the team through it day to day operations. The there is the first level manager that gives the daily drill down of operations notes and ensures the deliverables are made.. Then the senior manager who's task is the developing the budget, travel keeping the organization fresh with the latest each, and constantly keeping a fresh vision of the organization. 64. Describe a data visualization tool and how it is used. Prize is a great data visualization tool it gives you the ability to, 1.Use visual aids to help communicate your point. 2. It helps you compartmentalize your pitch to segmented parts to build upon the chain of information you trying to convey. 3. Prize gives you the ability to use video, pictures , AR etc to help get your point across. 65. Explain the value to leaders, in using dashboards and data visualization tools. Using a dashboard is value added when compiling any type of metrics and project status. It gives the ability to have a home base of the latest data that everyone can have access to from Eng I/E, MR. , Quality, Operations.Many decisions are based on the database daily such as overtime, manpower distribution, and Eng resources. 66. In the book Progress Makers, the author uses platforms to describe a methodology for incremental transformation. Give one example of leadership transformation using this concept. Use your own thoughts and ideas to express your answer. 67. How do you become Mayor of a location? If a user has checked-in to a venue on more days than anyone else in the past 60 days, and the check-ins re valid under foursquare time and distance protocols, they will be crowned mayor.The user must have a profile picture in order to be crowned â€Å"Mayor† of that venue. Someone else may earn the title by checking in more times than the previous mayor. 68. What is the purpose of a â€Å"special† on foursquare? To g ive the users of foursquare incentives to update data and give them a perks such as coupons for restaurants or apparel shops. Essay 69. (1 0 pits) Describe the difference between leadership in the classic sense and leadership as it relates to the field of technology? Why is it different? The rotational leadership model may include a top down method, which may be antiquated but functional, and gets the job done.The manager will ask the team for certain deliverables and really have no idea of how the deliverable is made and what it takes to get it done. And as long as you have a good team making the deliverables a leader might be able to survive, depending on the strength of his or her team. Technology has changed the nature of classic leadership in some ways, providing some additional challenges. For instance, working in the technology field, a leader must stay current with the latest and greatest technology or his r her group will lose vision and be behind the curve of technology ve ry quickly, rendering them out of date.