110,253 research outputs found
Psychological and cultural insights into consumption of luxury western brands in India
India has always had wealthy elites such as the maharajas, upper class and royalty that consume luxury products throughout its consumption history. The relatively recent economic rise of the middle class with an increase in disposable income is leading to consumption of luxury en mass. This qualitative study examines why consumers buy luxury, what they believe luxury is and how their perception of luxury impacts buying behaviour in the context of India. The present study explores luxury constructs drawn from the literature and provides some explanation for luxury consumption behaviour in India. The findings reveal that psychological and cultural factors in Indian society play a major part in shaping luxury consumption. While the findings suggest little support for homogenous luxury preference, Indian consumers share cultural characteristics of lavish consumption of luxury and display of wealth in social functions. Luxury reflects conspicuous consumption and status, and signals wealth for individuals, and conveys social identity and status in Indian society
Effective integration of mechatronics into the mechanical engineering curriculum: A cooperative, project-based learning model with seamless lab-lecture implementation
In today's competitive markets, engineers face ongoing challenges to produce complex engineering systems with a high level of performance, reliability, value and price. This requires the integration of a number of technologies, which may be accomplished through mechatronics. This paper presents a model for integrating mechatronics education into the Mechanical Engineering curriculum at the American University of Beirut (AUB). A strong component of the model is collaborative, project-based, learning-by-doing experience in which students realize mechatronics devices, possibly of their own choosing, using various laboratory tools including microcontroller technologies. The implementation strategy involves minimal lecturing, a seamless labllecture interface, and just-in-time learning. An example of a typical student's project is presented and course assessment is briefly discussed. © 2005 TEMPUS Publications.Al-Habaibeh A, 2003, INT J ENG EDUC, V19, P615; Auslander DM, 1996, IEEE-ASME T MECH, V1, P5, DOI 10.1109-3516.491404; BERGH CT, P 1999 IEEE ASME INT; CARRYER JE, 1995, MECHATRONICS, V5, P787, DOI 10.1016-0957-4158(95)00046-8; Carryer JE, 2003, INT J ENG EDUC, V19, P581; Djordjevich A, 2003, INT J ENG EDUC, V19, P610; Djordjevich A, 2003, INT J ENG EDUC, V19, P544; DURFEE WK, 1995, MECHATRONICS, V5, P775, DOI 10.1016-0957-4158(95)00044-6; *ENG ACCR COMM ACC, 1997, ENG CRIT 2000 CRIT A; Friedman T., 1999, LEXUS OLIVE TREE; Geddam A, 2003, INT J ENG EDUC, V19, P575; Grimheden M, 2003, INT J ENG EDUC, V19, P569; GUPTA SK, 2003, INT J ENG EDUC, V19, P537; Kyura N, 1996, IEEE-ASME T MECH, V1, P10, DOI 10.1109-3516.491405; LEIFER L, 1997, SUITE 210 MODEL GLOB; Meek S, 2003, MECHATRONICS, V13, P1, DOI 10.1016-S0957-4158(01)00058-7; Murray W. R., 1997, J ENG EDUC, V86, P285; Petric J, 2003, INT J ENG EDUC, V19, P597; Ramasubramanian MK, 2003, INT J ENG EDUC, V19, P519; Ressler K, 2003, INT J ENG EDUC, V19, P603; Rogers GG, 2003, INT J ENG EDUC, V19, P515; Salami MJE, 2003, INT J ENG EDUC, V19, P537; Scheidl R, 2003, INT J ENG EDUC, V19, P532; Shooter S., 2002, J ENG EDUC, V91, P339; WALD M, 2003, INT J ENG ED, V19; Xu WL, 2003, INT J ENG EDUC, V19, P550; 2001, ME MAGAZINE JAN, P4474
Pulmonary trematodosis (Pharyngostomoides sp.) in a juvenile raccoon (Procyon lotor)
© 2011 The Author(s)Accession Number: 21908291. Language: English. Language Code: eng. Date Created: 20110912. Date Completed: 20120113. Update Code: 20120113. Publication Type: Case Reports; Journal Article. Journal ID: 9011490. Publication Model: Print. Cited Medium: Internet. NLM ISO Abbr: J. Vet. Diagn. Invest. Linking ISSN: 10406387. Subset: IM. Date of Electronic Publication: 20110501; ID: 21908291Source type: Electronic(1
Disparity between college preparation and career demands for graduating engineers
The engineering profession has traditionally been a technical field based on theoretical and scientific discipline. In addition to the technical knowledge and hard skills, engineers must acquire sufficient soft skills in personal and interpersonal behavior to meet current employment market standards. This research identifies learning deficiencies that hinder the effectiveness of practicing engineers. Based on the ABET (Accreditation Board for Engineering and Technology) criteria, three categories of skills were tested: technical, interpersonal, and personal indicators. Research questions were as follows: Did engineers acquire these skills before graduation? How important are these skills to them as practicing engineers? Are there any differences in their perceptions of gender, work experience, or work location? A sample of 188 engineers who graduated from universities in Lebanon completed an online survey assessing their proficiencies before graduation and after starting their profession. Fifteen engineers were interviewed to gather information about the skills necessary for their career. Although participants reported that they possessed adequate theoretical knowledge and technical skills, noticeable weaknesses in creativity and innovation were found. Interpersonal and personal skills in leadership, management, and multidisciplinary teamwork were the most overlooked aptitudes in college despite their importance in work settings.Dahlgren MA, 2006, STUD HIGH EDUC, V31, P569, DOI 10.1080-03075070600923400; Akili W., 2005, ASEE IEEE FRONT ED C; Akili W., 2008, 2 C PLANN DEV ED SCI; Badawy M. K., 1981, MACH DES, V53, P91; Baytiyeh H, 2010, INT J ENG EDUC, V26, P1192; Baytiyeh H., 2010, 40 ASEE IEEE FRONT E; Bodgan R. C., 2007, QUALITATIVE RES ED; Chehade S. M., 2001, ED ENG 21 CENTURY; Crawford S, 1989, TECHNICAL WORKERS AD; CRDP, 2011, GEND DISTR SPEC LEB; Creswell J. W., 2003, RES DESIGN QUALITATI; Deans J., 1999, EUROPEAN J ENG ED, V24, P151, DOI 10.1080-03043799908923550; Dewey J., 1915, SCH TOMORROW; Domal V., 2008, AUSTR ASS ENG ED 200; Domal V., 2008, AM ASS ENG ED ASEE A; Eckert C., 2004, INT DES C; Flannes S., 2005, ESSENTIAL PEOPLE SKI; Fletcher JK, 1999, DISAPPEARING ACTS GE; Hettich P., 2000, P 108 AM PSYCH ASS; Johnston B, 2003, STUD HIGH EDUC, V28, P413, DOI 10.1080-0307507032000122260; Jonassen D, 2006, J ENG EDUC, V95, P139; Lang J.D., 1999, J ENG EDUC, V88, P43; Martin R., 2005, European Journal of Engineering Education, V30, DOI 10.1080-03043790500087571; Meiksins P., 1996, ENG LABOR TECHNICAL; Pearce B., 2008, MAKING SOCIAL WORLDS; Prados JW, 2005, J ENG EDUC, V94, P165; Pudlowski Z. J., 1996, INT J INGENIUM, V2, P61; RYNES SL, 1988, J VOCAT BEHAV, V32, P239, DOI 10.1016-0001-8791(88)90017-6; Sageev P., 2001, J ENG EDUC, V90, P685; Sagen HB, 2000, RES HIGH EDUC, V41, P753, DOI 10.1023-A:1007072705601; Sedge S. K., 1985, J VOCAT BEHAV, V30, P138; Sheppard S, 2006, INT J ENG EDUC, V22, P429; Shuman LJ, 2005, J ENG EDUC, V94, P41; Solomon F. L., 1993, INT J ENG EDUC, V9, P442; Speck M., 2005, WHY CANT WE GET IT R; Tang S., 2009, 20 AUSTR ASS ENG ED; Teddlie C., 2003, HDB MIXED METHODS SO; Trevelyan J, 2007, J PROF ISS ENG ED PR, V133, P300, DOI 10.1061-(ASCE)1052-3928(2007)133:4(300); Trevelyan J, 2007, J ENG EDUC, V96, P191; Zussman R., 1985, MECH MIDDLE CLASS WO44
Remote lab experiments models: A comparative study
Remote Laboratory Experimentation (RLE) is a technique used in modern engineering laboratories to help academic researchers and students perform laboratory experiments remotely through the Internet. Many RLE implementations are available with different characteristics. In this work, some recent RLE implementations models are analyzed, the services provided by each model are discussed, and these models are compared and evaluated. © 2006 TEMPUS Publications.ABDULSALAM AO, 2003, P 2 INT C PRINC PRAC, P109; Candelas FA, 2003, INT J ENG EDUC, V19, P363; Chen S.H., 1999, P 1999 IEEE HONG KON, VII, P756; COOPER M, ASCILITE 2002 C P; DELALAMO JA, 2003, LAB WEB, P49; ELHAJJ A, 2004, CIBITIC C MAY BEIR L; FJELDLY TA, 2003, LAB WEB, P1; Henry J, 2003, INT J ENG EDUC, V19, P403; HUA J, 2003, P ASEE NEW ENGL REG; LELEVE A, 2003, ITHET 03 MARR MOROCC; McKee GT, 2003, INT J ENG EDUC, V19, P356; NAGHEDOLFEIZI M, 2002, P 2002 ASEE ANN C EX; Pastor R, 2003, INT J ENG EDUC, V19, P445; Pfleeger S.L., 2001, SOFTWARE ENG THEORY; RODRIGUEZ JA, 1999, INT C ACC LARG EXP P, P483; Serri A, 2003, INT J ENG EDUC, V19, P420; Tan KK, 2003, INT J ENG EDUC, V19, P503; ZIMMER T, 2003, LAB WEB, P8919161
Data obtained for publication Chem Eng J 473 (2023) 145168
Data obtained for publication Chem Eng J 473 (2023) 145168</p
The Role of Relationally Embedded Network Ties in Resource Acquisition of British Nonprofit Organizations
As nonprofit and charity organizations face increasing competition, there have been growing interests in how nonprofit organizations conduct commercial activities to raise funds as well as grow their business. However, there is lack of prior research about market-oriented and/or commercial activities in the context of nonprofit business. This study examines the process of how nonprofit organizations use relationally embedded network ties to acquire financial, human, and human capital resources to fulfill their social mission and achieve business growth. The study investigates commercial activity of three U.K.-based nonprofit organizations using the case study method. The findings contribute to insights into components of network ties for acquiring three different network resources of financial, human, and human capital. Nonprofit organizations leverage social mission to improve their ability to acquire network resources. The findings also suggest the charity and social mission of nonprofit business enhance trustworthiness in relationally embedded network ties for resource acquisition
Exponential, gamma, and power law distributions in information flow on a construction site
This paper examines the statistical distributions of interarrival and response times for construction-site correspondence. Data from a number of construction projects are analyzed and hypotheses are proposed and tested to link the probability distribution to the type of correspondence. Although the commonly assumed exponential distribution of interarrival times is found to be accurate for all types of correspondence, the response times for different types of correspondence follow different distributions depending on the type of correspondence. In particular, a power law relationship is observed between incidence frequency and response time for requests for information. Knowing the statistical distributions for a class of events helps managers forecast future work and manage risk. Simulation models used by practitioners and researchers for various project management goals are also improved by incorporating appropriate statistical distributions for generating various events. © 2008 ASCE.ABOURIZK SM, 1994, J CONSTR ENG M ASCE, V120, P288, DOI 10.1061-(ASCE)0733-9364(1994)120:2(288); ABOURIZK SM, 1992, J CONSTR ENG M ASCE, V118, P525, DOI 10.1061-(ASCE)0733-9364(1992)118:3(525); BOUMATAR RS, 2005, THESIS AM U BEIRUT B; Christensen L. C., 1997, Microcomputers in Civil Engineering, V12; Harris CM, 2000, INFORMS J COMPUT, V12, P261, DOI 10.1287-ijoc.12.4.261.11882; Huberman BA, 1997, SCIENCE, V277, P535, DOI 10.1126-science.277.5325.535; Isidore LJ, 2002, J CONSTR ENG M ASCE, V128, P211, DOI 10.1061-(ASCE)0733-9364(2002)128:3(211); Jin Y., 1996, COMPUTATIONAL MATH O, V2, P171, DOI DOI 10.1007-BF00127273; JIN Y, 1995, SIMULATION, V64, P160, DOI 10.1177-003754979506400304; Kleiber C., 2003, STAT SIZE DISTRIBUTI; Kumaraiah V, 1998, NIMHANS J, V16, P1; LeVine RA, 1994, COMPUTATIONAL ORG TH, P1, DOI 10.1017-CBO9780511720321.002; Lu M, 2002, J CONSTR ENG M ASCE, V128, P438, DOI 10.1061-(ASCE)0733-9364(2002)128:5(438); Maio C, 2000, J CONSTR ENG M ASCE, V126, P285, DOI 10.1061-(ASCE)0733-9364(2000)126:4(285); Mandelbrot B., 2004, MISBEHAVIOUR MARKETS; Odeh A.M., 2002, INT J PROJ MANAG, V20, P67, DOI 10.1016-S0263-7863(00)00037-5; Salazar-Kish J. M., 2001, THESIS STANFORD U ST; Schexnayder C, 2005, J CONSTR ENG M ASCE, V131, P221, DOI 10.1061-(ASCE)0733-9364(2005)131:2(221)0
Transition metal site distributions in binary aluminum-transition metal quasicrystals: Al-V and Al-Cr
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Spreadsheet applications in electrical engineering: A review
Spreadsheets were originally intended for business applications like finance, accounting, and so on. However, the ubiquity and simplicity of spreadsheet programs, in addition to their rich library of built-in functions, plotting capabilities, and other provided utilities, have made them attractive tools for education in engineering as well as other disciplines. This paper presents a brief description of the history of spreadsheets development, and a review of various applications that spreadsheets have in electrical engineering education, especially in the areas of control, electromagnetism, communications and signal processing, electronics, circuits and digital systems, neural networks, power systems, and other fields. The use of spreadsheets in mathematics and other sciences is briefly reviewed, and some possible future trends and applications are suggested.Abramovich S., 1995, Journal of Computers in Mathematics and Science Teaching, V14; ABRAMOVICH S, 1995, INT J MATH ED SCI TE, V26, P347, DOI 10.1080-0020739950260305; ABRAMOVICH S, 1995, MATH ED, V6, P34; Anneberg L, 1999, IEEE T EDUC, V42, P114, DOI 10.1109-13.762940; ANTONINI R, P INT C NEUR NETW IJ; ARGANBRIGHT D, 1985, MATH APPL ELECT SPRE; ARGANBRIGHT D, 1995, PRACTICAL HDB SPREAD; BAICHER GS, 1996, ENG SC ED J FEB; BAICHER GS, 1995, IEE C TEACHING DSP U; *BANT, 1988, P FRONT ED C FIE 88; BARRON M, 2001, IEEE INT S EL COMP A; BARRON M, 1999, P IEEE INT S EL COMP; BARRON M, 2000, IEEE INT S EL COMP A; BEMLEY JL, P INT C NEUR NETW IJ; BILLO J, 1997, EXCEL CHEM; BISSELL C, 1989, IEE REV JUL; BOYE AJ, 1993, IEEE T ED FEB; BRUNKHORST RF, 1997, P 17 IEEE NPSS S FUS; CHAABAN FB, P FRONT ED C FIE 94; CHAPMAN, 1993, INT J ELECT ENG ED, V30, P211; DIAB H, 1998, INT J ENG ED, V14; DOAK RB, 1996, P FRONT ED C FIE 96; EID JC, 1988, P 4 IEEE SEM THERM T; ELHAJJ A, 1998, IEEE T ED NOV; ELHAJJ A, 1991, IEEE T ED FEB; ELHAJJ A, 1995, J COMPUTER APPL ENG, V3, P205; ELHAJJ A, 2002, INT J ENG ED, V18; ELHAJJ A, 1991, INT C MICR CAIR EG, P284; ELHAJJ A, 1995, IEEE T ED NOV; El-Hajj A., 1990, International Journal of Applied Engineering Education, V6; ELHAJJ A, IN PRESS IEEE T ED; El-Hajj A, 2000, SIMULATION, V75, P82, DOI 10.1177-003754970007500202; ELHAJJ A, 1992, IEE P CIRC DEV SYST; ELHAJJ A, 2000, IEEE CONTROL SYS DEC; ESTRADA HV, P IEEE SOUTH 89 EN I; Evans JR, 2000, INFORMS T ED, V1, P27; FEINBERG R, 1985, AM J PHYS, V53; FISET R, P IEEE 2001 INT GEOS; FORBES RG, 1998, P 11 INT VAC MICR C; FOSTER EM, 1990, P 1990 IEEE SO TIER; FRASER CJ, 1996, INT J ENG ED, V12; HARTMANN MJ, 1992, 1992 IEEE NUCL SCI S; HILLS, 1986, IEEE T ANTENNAS PROP, V14, P237; HOEFT LO, 1996, IEEE INT S EL COMP A; Jewell T. K., 1987, International Journal of Applied Engineering Education, V3; JOHN EG, 1998, INT J ENG ED, V14; KABALAN KY, 2002, INT J ENG ED, V18; KABALAN KY, 1996, INT J ENG ED, V12; KABALAN KY, 1996, IEE P SCI MEAS TECHN; KHARAB A, 1997, IEEE T ED FEB; KNAB JJ, 2000, P 21 CENT MIL COMM C; KOHLER E, 1963, DICT ACCOUNTANTS; KUMAR R, P FRONT ED C FIE 97; LALLO P, 1997, P MILCON 97 NOV; LAMONT JW, 1990, P 22 ANN N AM POW S; LWIN Y, 2000, INT J ENG ED, V16; Malasri S., 1987, International Journal of Applied Engineering Education, V3; Malasri S., 1987, International Journal of Applied Engineering Education, V3; MATTESSICH R, 1964, SIMULATION FIRM BUDG; MATTESSICK R, 1961, ACCOUNT REV, P384; MISNER C, 1991, SPREADSHEET PHYS; MORISHITA Y, 2001, INT J ENG ED, V17; MORLEY LA, C 1990 IEEE IND APPL; MOUNTAIN JR, 2000, P FRONT ED C FIE 200; Neuwirth E., 1995, Journal of Computers in Mathematics and Science Teaching, V14; NEUWIRTH E, 1990, TEACHING STAT DEC; NOEBAUER G, 2001, P 17 IEEE S SEM THER; Phang CH, 1997, IEEE T EDUC, V40, P213, DOI 10.1109-13.618032; PIELE D, 1990, INTRO STAT SPREADSHE; POWER J, BRIEF HIST SPREADSHE; RAO ND, 1992, P 33 MIDW S CIRC SYS; REFFOLD CN, 1995, INT J ENG ED, V11; ROGNE T, 1993, P 5 EUR C POW EL APP; SAUL PH, 1991, ELECTRON ENG, pS49; SCHALKOFF RJ, 1986, IEEE T ED FEB; SCHOCH KF, 1998, IEEE ELECT INSUL FEB; SCHWARTZ RF, 1988, P FRONT ED C FIE 88; *SETI LEAG, SETI SPREADSH TEMPL; SHAPIRO FR, 1995, IEEE T ED NOV; SHAPIRO FR, 1993, IEE ET ED MAY; SMITH R, 1992, J EXCELLENCE COLL TE, V3, P131; SMITH R, 1998, J EXCELLENCE COLL TE, V3, P131; SMITH R, 1995, P 1 AS TECHN C MATH; SPOONER RL, 1988, P OCEANS 88 PARTN MA; STANTON BJ, 1993, IEEE T ED FEB; SVOBODA JA, 1992, IEEE T ED AUG; Tan-Atichat J., 1987, International Journal of Applied Engineering Education, V3; UMPHRESS DA, 2002, P 15 C SOFTW ENG ED; VANDERWALT PW, P 1998 S AFR S COMM; WALTER DC, 1990, P 1990 S APPL COMP A; WANG DY, 1993, P 1993 PART ACC C MA; XU W, 1999, IEEE COMPUTE APP JAN; YAMANI A, 2001, IEEE T ED AUG; YIUKWONG W, 1992, INT J ELEC ENG EDUC, V29, P1654
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