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Relevant bibliographies by topics / Personal uses of computer

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Academic literature on the topic 'Personal uses of computer'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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Journal articles on the topic "Personal uses of computer"

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Blah, Sadat. "The Impact of Personal Computer on Students’ Academic Performance." Advances in Social Sciences Research Journal 8, no. 7 (July 19, 2021): 187–91. http://dx.doi.org/10.14738/assrj.87.10435.

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ABSTRACT This study aimed to determine the effects of Personal Computer on students' academic performance of the Grade 11 Senior High School students at MSU-Maguindanao. Specifically, this study identified the uses of Personal Computers as rated by the students in their studies, the academic performance of respondents with Personal Computer, the academic performance of respondents without Personal Computer, and the significant difference in academic performance of respondents with and without Personal Computer. Survey questionnaire was used as an instrument in gathering data. The questionnaire contains ten (10) related to the uses of computer in the students’ studies. The 10 questions are measured in terms of a 4- point scale such as: 1 for always, 2 for often, 3 for seldom and 4 for never. The statistical tools used in the analysis of data are the frequency count and the mean to describe the effects of personal computer on Senior High School students’ academic performance. The data gathered were consolidated and tabulated. The computations were done manually with the aid of scientific calculator. Findings show that the academic performance of the students with personal computer is generally higher than those without personal computer. Therefore, personal computer has effects in improving the students' academic performance. Keywords: Impact, Personal Computer, Students’ Academic Performance

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Robinson, John P., and Meyer Kestnbaum. "The Personal Computer, Culture, and Other Uses of Free Time." Social Science Computer Review 17, no. 2 (May 1999): 209–16. http://dx.doi.org/10.1177/089443939901700207.

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Simare-mare, Yunus, and Fristi Riandari. "Expert System For Personal Computer Mendiagnosakerusakan Method Using Certainty Factor." Journal Of Computer Networks, Architecture and High Performance Computing 2, no. 2 (June 1, 2020): 195–202. http://dx.doi.org/10.47709/cnapc.v2i2.410.

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Along with the development of information technology, computers today have developed rapidly so that they require a higher technology world. Nowadays computers can be made in the category of human needs, Because they can help or human Facilitate work in various fields. The use of computer laboratories at Sei Bamban YAPIM Private Vocational School is very dense, so the level of computer damage is greater, both in terms of hardware and software. Here the author will discuss Expert Systems to Diagnose Damage to Personal Computers, the Certainty Methods Method is one of the Expert System Methods to Be Able to diagnose damage to a Personal Computer. In this case the Certainty Factor method is used to diagnose damage to the Personal Computer through existing symptoms. The damage is taken from symptoms that may occur and then given a decision and provide Appropriate solutions to Overcome damage to the Personal Computer. The symptoms of damage to the Personal Computer will then be changed in the form of applications. To create an application the author uses Microsoft Visual Studio 2010. This thesis will explain the damage report and solutions for Personal Computer.

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Hsieh, Chun Hsiang, and Daniel J. Buehrer. "The Implementation of an Artificially Intelligent Personal Assistant for a Personal Computer." Applied Mechanics and Materials 627 (September 2014): 372–76. http://dx.doi.org/10.4028/www.scientific.net/amm.627.372.

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This research describes the design of an Artificially Intelligent Personal Assistant (AIPA) system that uses concepts from the artificial neural networks, a triple-based knowledge representation that is used for both an ontology and its binary relationships, fast access via hash functions, and Class Algebra as the theoretical basis. The purpose of the research and implementation is to make it more convenient for people to use Chinese to communicate with computers. Through artificial intelligent natural language technology, not only are the users able to colloquially to communicate with AIPA, but the system can also identify the users’ commands to bridge the Google search engine. Therefore, users can efficiently search for information or execute programs by using AIPA.

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Kupperman, Jeff, and Barry J. Fishman. "Academic, Social, and Personal Uses of the Internet." Journal of Research on Technology in Education 34, no. 2 (December 2001): 189–215. http://dx.doi.org/10.1080/15391523.2001.10782345.

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Gillespy, Thurman, Michael L. Richardson, and Alan H. Rowberg. "Displaying radiologic images on personal computers: Practical applications and uses." Journal of Digital Imaging 7, no. 3 (August 1994): 101–6. http://dx.doi.org/10.1007/bf03168502.

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Fifield, M. Bryce. "Psychoeducational Testing and the Personal Computer." Journal of Special Education Technology 9, no. 3 (March 1989): 136–43. http://dx.doi.org/10.1177/016264348900900302.

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The use of personal computers to aid in the administration, scoring, and interpretation of individual psychoeducational tests is growing. Currently computers are used to assist in managing assessment information, scoring and interpreting tests, and administering tests of cognitive abilities, academic skills, adaptive behaviors, and social skills. Although the content validity of assessment instruments developed for computer administration may have certain practical limitations, several useful advantages can be gained by using the computer to administer tests. Some of the advantages include improved levels of standardization in the procedures used during test administration, scoring, and interpretation; the collection of response data in real time; and the development and use of assessment models that were heretofore too complex for human presentation.

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Kon, Haruka, Hiroshi Kobayashi, Naoki Sakurai, Kiyoshi Watanabe, Yoshiro Yamaga, and Takahiro Ono. "Personal computer versus personal computer/mobile device combination users’ preclinical laboratory e-learning activity." Journal of Investigative and Clinical Dentistry 8, no. 4 (November 15, 2016): e12248. http://dx.doi.org/10.1111/jicd.12248.

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Winslow, Charles L. "Production engineering department personal computer / multi-user micro computer network." Computers & Industrial Engineering 11, no. 1-4 (January 1986): 434–38. http://dx.doi.org/10.1016/0360-8352(86)90127-0.

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Bailey, Thomas C., and Richard M. Reichley. "Investigation of a Computer Virus Outbreak in the Pharmacy of a Tertiary Care Teaching Hospital." Infection Control & Hospital Epidemiology 13, no. 10 (October 1992): 594–98. http://dx.doi.org/10.1086/646434.

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AbstractObjective:A computer virus outbreak was recognized, verified, defined, investigated, and controlled using an infection control approach. The pathogenesis and epidemiology of computer virus infection are reviewed.Design:Case-control study.Setting:Pharmacy of a tertiary care teaching institution.Results:On October 28, 1991, 2 personal computers in the drug information center manifested symptoms consistent with the “Jerusalem” virus infection. The same day, a departmental personal computer began playing ‘Yankee Doodle,” a sign of “Doodle” virus infection. An investigation of all departmental personal computers identified the “Stoned” virus in an additional personal computer. Controls were functioning virus-free personal computers within the department. Cases were associated with users who brought diskettes from outside the department (5/5 cases versus 5/13 controls, p = .04) and with College of Pharmacy student users (3/5 cases versus 0/13 controls, p = .012). The detection of a virus-infected diskette or personal computer was associated with the number of 5 1/4-inch diskettes in the files of personal computers, a surrogate for rate of media exchange (mean= 17.4 versus 152.5, p = .018, Wilcoxon rank sum test). After education of departmental personal computer users regarding appropriate computer hygiene and installation of virus protection software, no further spread of personal computer viruses occurred, although 2 additional Stoned-infected and 1 Jerusalem-infected diskettes were detected.Conclusions:We recommend that virus detection software be installed on personal computers where the interchange of diskettes among computers is necessary, that write-protect tabs be placed on all program master diskettes and data diskettes where data are being read and not written, that in the event of a computer virus outbreak, all available diskettes be quarantined and scanned by virus detection software, and to facilitate quarantine and scanning in an outbreak, that diskettes be stored in organized files.

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Dissertations / Theses on the topic "Personal uses of computer"

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Gingery, David L. "Pastoral uses of the personal computer." Theological Research Exchange Network (TREN), 1986. http://www.tren.com.

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Song, Yanjie. "Educational uses of PDAs (personal digital assistants) undergraduate student experiences /." Click to view the E-thesis via HKUTO, 2009. http://sunzi.lib.hku.hk/hkuto/record/B42841410.

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Song, Yanjie, and 宋燕捷. "Educational uses of PDAs (personal digital assistants): undergraduate student experiences." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B42841410.

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Katule, Ntwa. "Utilization of personal health informatics through intermediary users." Doctoral thesis, University of Cape Town, 2018. http://hdl.handle.net/11427/29358.

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Personal informatics are important tools in health self-management as they support individuals to quantify and self-reflect on their lifestyle. Human-computer interaction researchers have devoted resources on studying how to design such tools. Various motivational strategies have been explored for their capabilities in improving user engagement. However, such strategies are developed with an assumption that the targeted consumer of information is the one directly manipulating user interfaces of the system that has information. This may not always be the case for users in developing regions. As a result, such systems may not scale well in contexts where a targeted consumer (beneficiary) may use technology through the facilitation of another person (intermediary) whom is responsible for manipulating user interfaces, because such facilitators are not recognized as part of the system, hence motivational strategies don't cater for them. In order to uncover design implications for intermediated technology use in the context of personal health informatics (PHI), the researcher started with the theoretical framing of the work followed by a contextual enquiry which led to development of mobile applications' prototypes for tracking nutrition and physical activity. Evaluation of the prototypes revealed that a familial relationship is a prerequisite for such an intervention. The most promising combination involves family members, possibly a child and a parent working together. The study used self-determination theory to understand how a collaborative gamified system can increase engagement. The result revealed that gamification as the source of a significant increase in perceived competence in intermediary users whom also tended to consider themselves as co-owners of the interaction experience. Therefore, gamification was found to be a catalyst for increasing collaboration between an intermediary and beneficiary user of technology, provided that the two users that formed a pair had a prior social relationship. In the absence of gamification, intermediary users tended to be less engaged in the intervention. The study highlights both the positive and negative aspects of gamification in promoting collaboration in intermediated use and its general implications in health settings. Design considerations required in order to improve the overall user experience of both users involved are proposed. In general, this work contributes to both theory and empirical validation of factors for, supporting proximate-enabled intermediated use of personal health informatics.

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Murphy, Robert P., and Lorraine S. Davis. "Personal computer use at Navy Field Activities: a productivity study." Thesis, Monterey, California. Naval Postgraduate School, 1989. http://hdl.handle.net/10945/26161.

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In the past, corporations justified investment in office automation (OA) by vague claims of increased productivity. Now, managers are reevaluating their productivity measurement systems in an effort to identify productivity gains resulting from OA. The purpose of this thesis is to present a methodology for determining the impact of OA on office productivity. This study examined the productivity of the Standard Automated Contracting System for Federal Agencies (SACONS), in a before/after quasi-experimental design that measured outputs (volume, quality of work), inputs (staff size, grade structure, overtime usage), and by-product social effects (morale, teamwork) using archival data. This framework, developed in a previous SACONS study, is used to analyze the strength of SACONS software. The results of this study were confounded by external events that adversely affected our results. Only the quality of work measure (Procurement Action Lead Time), which was reduced by 13 percent, showed a significant productivity gain. Further study of SACONS is necessary to determine its impact on office productivity

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Dill, Byron. "Human robot interaction using a personal digital assistant interface : a study of feedback modes /." free to MU campus, to others for purchase, 2003. http://wwwlib.umi.com/cr/mo/fullcit?p1418012.

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Paradesi, Sharon M. (Sharon Myrtle) 1986. "User-controlled privacy for personal mobile data." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/93839.

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Thesis: Elec. E. in Computer Science, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 81-82).
Smartphones collect a wide range of sensor data, ranging from the basic, such as location, accelerometer, and Bluetooth, to the more advanced, such as heart rate. Mobile apps on the Android and iOS platforms provide users with "all-or-nothing" controls during installation to get permission for data collection and use. Users have to either agree to have the app collect and use all the requested data or not use the app at all. This is slowly changing with the iOS framework, which now allows users to turn off location sharing with specific apps even after installation. MIT Living Lab platform is a mobile app development platform that uses openPDS to provide MIT users with personal data stores but currently lacks user controls for privacy. This thesis presents PrivacyMate, a suite of tools for MIT Living Labs that provide user-controllable privacy mechanisms for mobile apps. PrivacyMate aims to enable users to maintain better control over their mobile personal data. It extends the model of iOS and allows users to select or deselect various types of data (more than just location information) for collection and use by apps. Users can also provide temporal and spatial specifications to indicate a context in which they are comfortable sharing their data with certain apps. We incorporate the privacy mechanisms offered by PrivacyMate into two mobile apps built on the MIT Living Lab platform: ScheduleME and MIT-FIT. ScheduleME enables users to schedule meetings without disclosing either their locations or points of interest. MIT-FIT enables users to track personal and aggregate high-activity regions and times, as well as view personalized fitness-related event recommendations. The MIT Living Lab team is planning to eventually deploy PrivacyMate and MIT-FIT to the entire MIT community.
by Sharon Myrtle Paradesi.
Elec. E. in Computer Science

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Gwizdka, Jacek, and Mark Chignell. "Individual Differences in Personal Information Management." University of Washington Press, 2007. http://hdl.handle.net/10150/105751.

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In an increasingly complex world where people routinely handle large amounts of information, individuals are constantly challenged to manage and effectively use the information that they are responsible for. While email is the canonical example of an information overloading application, other well known PIM applications and tasks cited in earlier chapters of this book include maintaining addresses and contacts, scheduling, and organizing the various documents and bookmarks that one is interested in. Not surprisingly, there are individual differences (ID) in how, and how well, people cope with the challenge of personal information management. This greatly complicates any scientific analysis of PIM behavior. Thus, in addition to the evaluation methods discussed in the previous chapter, researchers and designers need to consider when and how individual differences should be included within parsimonious interpretations and explanations of PIM behavior. In this chapter we propose an approach where differences between individuals are considered last, after the influences of the environment and the task context have first been considered, and after group difference (e.g., between job classifications) have been investigated. We believe that this is a logical way to proceed, since like observing an ant walking over sand-dunes (cf. Simon, 1996) we should not ascribe complexities to an individual if they can instead be explained as due to properties of the environment. The goal of this chapter will be to review and synthesize some of the key findings in how PIM behavior differs between individuals. Some of the reasons why these differences occur and what can be done about them will also be discussed.

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Wallace, John Glenn. "Speech synthesis using a digital modulation scheme on the IBM personal computer." Diss., Rolla, Mo. : School of Mines and Metallurgy of the University of Missouri, 1989. http://scholarsmine.mst.edu/thesis/pdf/Wallace_09007dcc805dc178.pdf.

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Thesis (M.S.)--University of Missouri--Rolla, 1989.
Vita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed January 9, 2009) Includes bibliographical references (p. 39-40).

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Bylund, Markus. "Personal service environments : Openness and user control in user-service interaction." Licentiate thesis, Uppsala universitet, Avdelningen för datalogi, 2001. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-86015.

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This thesis describes my work with making the whole experience of using electronic services more pleasant and practical. More and more people use electronic services in their daily life — be it services for communicating with colleagues or family members, web-based bookstores, or network-based games for entertainment. However, electronic services in general are more difficult to use than they would have to be. They are limited in how and when users can access them. Services do not collaborate despite obvious advantages to their users, and they put the integrity and privacy of their users at risk. In this thesis, I argue that there are structural reasons for these problems rather than problems with content or the technology per se. The focus when designing electronic services tends to be on the service providers or on the artifacts that are used for accessing the services. I present an approach that focus on the user instead, which is based on the concept of personal service environments. These provide a mobile locale for storing and running electronic services of individual users. This gives the user increased control over which services to use, from where they can be accessed, and what personal information that services gather. The concept allows, and encourages, service collaboration, but not without letting the user maintain the control over the process. Finally, personal service environments allow continuous usage of services while switching between interaction devices and moving between places. The sView system, which is also described, implements personal service environments and serves as an example of how the concept can be realized. The system consists of two parts. The first part is a specification of how both services for sView and infrastructure for handling services should be developed. The second part is a reference implementation of the specification, which includes sample services that adds to and demonstrates the functionality of sView.

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Books on the topic "Personal uses of computer"

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Hugh, Tucker W., ed. The computer as a paintbrush: Creative uses for the personal computer in the preschool classroom. Columbus, Ohio: Merrill Pub. Co., 1987.

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LeFan, Mike. National shop-by-mail directory for personal computer users. Babylon, N.Y: Pilot Books, 1986.

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Emmer, Mark B. SNOBOL4+: The SNOBOL4 language for the personal computer user. Englewood Cliffs, N.J: Prentice-Hall, Business and Professional Division, 1985.

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International, British Telecom. International data services: A guide for business personal computer users. London: British Telecom International, 1988.

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NHS Executive. Information Management Group. Integrated Clinical Workstation Computer Based Awareness Personal Presentation: User guide. Leeds: NHS Executive, 1996.

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Lang, Kathy N. Data management at work: A guide for the personal computer user. London: Pan, 1985.

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Ernst, Martin L. Users and personal computers: Languages and literacy, costs and benefits. Cambridge, Mass: Program on Information Resources Policy, Harvard University, Center for Information Policy Research, 1993.

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Ernst, Martin L. Users and personal computers: Languages and literacy, costs and benefits. Cambridge, Mass: Program on Information Resources Policy, Harvard University, Center for Information Policy Research, 1992.

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1953-, Newman Ely, ed. Personal recordKeeper 5: Windows & Macintosh : users' manual. 5th ed. [Berkeley]: Nolo.com Press, 1998.

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The IBM PC-AT: A guide for users and managers. New York: Holt, Rinehart, and Winston, 1986.

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Book chapters on the topic "Personal uses of computer"

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Reggio, Gianna, Maurizio Leotta, and Filippo Ricca. "Who Knows/Uses What of the UML: A Personal Opinion Survey." In Lecture Notes in Computer Science, 149–65. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11653-2_10.

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Keane, Anthony, and Stephen O’Shaughnessy. "Tracking User Activity on Personal Computers." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 188–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35515-8_16.

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Kwon, Young Chul, Sang Won Lee, and Songchun Moon. "Personal Computer Privacy: Analysis for Korean PC Users." In Advances in Information and Computer Security, 76–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11908739_6.

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Kröner, Alexander, Nathalie Basselin, Michael Schneider, and Junichiro Mori. "Selecting Users for Sharing Augmented Personal Memories." In Lecture Notes in Computer Science, 477–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74565-5_44.

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Lu, Cindy. "Enhanced User Experience in Managing Personal Finance." In Lecture Notes in Computer Science, 375–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21619-0_47.

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Hopfgartner, Frank, and Joemon M. Jose. "Semantic User Modelling for Personal News Video Retrieval." In Lecture Notes in Computer Science, 336–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11301-7_35.

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Sakhnini, Nina, Ja Eun Yu, Rachael M. Jones, and Debaleena Chattopadhyay. "Personal Air Pollution Monitoring Technologies: User Practices and Preferences." In Lecture Notes in Computer Science, 481–98. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60114-0_33.

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Shen, Yiting, Steven R. Wilson, and Rada Mihalcea. "Measuring Personal Values in Cross-Cultural User-Generated Content." In Lecture Notes in Computer Science, 143–56. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34971-4_10.

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Tungare, Manas. "Understanding the Evolution of Users’ Personal Information Management Practices." In Lecture Notes in Computer Science, 586–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74800-7_56.

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Zhou, Tao. "Personal Recommendation in User-Object Networks." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 247–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02466-5_23.

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Conference papers on the topic "Personal uses of computer"

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Dix, Alan, and Steve Howard. "The personal information environment beyond the personal computer." In 2011 International Conference on User Science and Engineering (i-USEr 2011). IEEE, 2011. http://dx.doi.org/10.1109/iuser.2011.6150568.

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Semple, M. C. "Information for personal computer users." In International Conference on Professional Communication,Communication Across the Sea: North American and European Practices. IEEE, 1990. http://dx.doi.org/10.1109/ipcc.1990.111178.

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Gunay, Noel S. "iSMS: Computer texting for personal and business use." In 2015 International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM). IEEE, 2015. http://dx.doi.org/10.1109/hnicem.2015.7393266.

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Eichenlaub, Jesse B. "Autostereoscopic display for use with a personal computer." In SC - DL tentative, edited by John O. Merritt and Scott S. Fisher. SPIE, 1990. http://dx.doi.org/10.1117/12.19900.

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Kaplan, Michael G. "Automatic authentication of email servers and personal computers independent of the active participation of server administrators or personal computer users." In the 8th Annual Collaboration, Electronic messaging, Anti-Abuse and Spam Conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2030376.2030381.

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Zhang, Dongyan, Yao Yi, and Shuo Wang. "User Behavior Analyses in Mobile Personal Livecasts." In 2018 IEEE 4th International Conference on Computer and Communications (ICCC). IEEE, 2018. http://dx.doi.org/10.1109/compcomm.2018.8780749.

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Trujillo, Amaury, and Maria Claudia Buzzi. "Participatory User Requirements Elicitation for Personal Menopause App." In NordiCHI '16: 9th Nordic Conference on Human-Computer Interaction. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2971485.2996737.

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Kurzke, Joachim. "Advanced User-Friendly Gas Turbine Performance Calculations on a Personal Computer." In ASME 1995 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/95-gt-147.

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Personal Computers are nowadays very powerful. They allow us to do complete gasturbine performance calculations both for the engine design point and the partload behavior. A typical helicopter engine serves as an example for a cycle study. The simple variation of compressor pressure ratio and turbine inlet temperature, however, does not yield a realistic result. Only after including the effects of variable amounts of cooling air needed for constant metal temperature and turbine efficiency as a function of aerodynamic loading one does get results that are in line with the cycle of real engines. Off-design performance calculations need no longer use crude simplifications for reasonable calculation times. Real component maps can be used while the matching of the cycle is done by iterative methods. Transient simulations on a 486DX machine are only a matter of a few minutes. Even the effects of inlet distortion (pressure or temperature) can be dealt with by using the parallel compressor model. The key to userfriendliness is, to hide everything from the user that he does not need to know at the very moment. The things he needs to know, however, must be presented in clear and easily understandable expressions. Results must be shown in graphics whenever it makes sense. This is the only way to recognize quickly problem areas or to convince people, that the selected design is optimal.

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Hossain, Tabassum, Arnab rakshit, and Amit Konar. "Brain-Computer Interface based User Authentication System for Personal Device Security." In 2020 International Conference on Computer, Electrical & Communication Engineering (ICCECE). IEEE, 2020. http://dx.doi.org/10.1109/iccece48148.2020.9223069.

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Chen, Jilin, Gary Hsieh, Jalal U. Mahmud, and Jeffrey Nichols. "Understanding individuals' personal values from social media word use." In CSCW'14: Computer Supported Cooperative Work. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2531602.2531608.

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Reports on the topic "Personal uses of computer"

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Knutson, E. O. Personal computer programs for use in radon/thoron progeny measurements. Office of Scientific and Technical Information (OSTI), March 1989. http://dx.doi.org/10.2172/6294239.

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Vyas, A. D., D. J. Dantini, and S. K. Marik. Minority Transportation Expenditures Allocation Model (MITRAM): User documentation for the personal computer spreadsheet version. Office of Scientific and Technical Information (OSTI), February 1989. http://dx.doi.org/10.2172/6167450.

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Barkley, John. Personal computer networks. Gaithersburg, MD: National Bureau of Standards, 1986. http://dx.doi.org/10.6028/nbs.sp.500-140.

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Rest, J. The DART dispersion analysis research tool: A mechanistic model for predicting fission-product-induced swelling of aluminum dispersion fuels. User`s guide for mainframe, workstation, and personal computer applications. Office of Scientific and Technical Information (OSTI), August 1995. http://dx.doi.org/10.2172/149983.

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Steinauer, Dennis D. Security of personal computer systems. Gaithersburg, MD: National Bureau of Standards, 1985. http://dx.doi.org/10.6028/nbs.sp.500-120.

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Rybczynski, Siegfried. Common memory for the personal computer. Gaithersburg, MD: National Bureau of Standards, 1988. http://dx.doi.org/10.6028/nist.ir.88-3838.

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Szydlowski, R. F., and W. D. Jr Chvala. Energy consumption of personal computer workstations. Office of Scientific and Technical Information (OSTI), February 1994. http://dx.doi.org/10.2172/10134947.

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Jackson, B. G. PC-DYMAC: Personal Computer---DYnamic Materials ACcounting. Office of Scientific and Technical Information (OSTI), November 1989. http://dx.doi.org/10.2172/7260031.

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Berger, M. J., and J. H. Hubbell. XCOM: Photon cross sections on a personal computer. Office of Scientific and Technical Information (OSTI), July 1987. http://dx.doi.org/10.2172/6016002.

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Abel, Jaison, Ernst Berndt, and Alan White. Price Indexes for Microsoft's Personal Computer Software Products. Cambridge, MA: National Bureau of Economic Research, September 2003. http://dx.doi.org/10.3386/w9966.

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