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Dissertations / Theses on the topic 'Predicting model'

Author: Grafiati

Published: 9 March 2023

Last updated: 31 July 2025

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1

Andeta, Jemal Ahmed. "Road-traffic accident prediction model : Predicting the Number of Casualties." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-20146.

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Efficient and effective road traffic prediction and management techniques are crucial in intelligent transportation systems. It can positively influence road advancement, safety enhancement, regulation formulation, and route planning to save living things in advance from road traffic accidents. This thesis considers road safety by predicting the number of casualties if an accident occurs using multiple traffic accident attributes. It helps individuals (drivers) or traffic offices to adjust and control their contributions for the occurrence of an accident before emerging it. Three candidate alg

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li, yiwen. "Predicting Hearing Loss Using Auditory Steady-State Responses." Digital WPI, 2009. https://digitalcommons.wpi.edu/etd-theses/84.

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Auditory Steady-State Response (ASSR) is a promising tool for detecting hearing loss. In this project, we analyzed hearing threshold data obtained from two ASSR methods and a gold standard, pure tone audiometry, applied to both normal and hearing-impaired subjects. We constructed a repeated measures linear model to identify factors that show significant differences in the mean response. The analysis shows that there are significant differences due to hearing status (normal or impaired) and ASSR method, and that there is a significant interaction between hearing status and test signal frequency

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Kingwell, Stephen. "Predicting Complications After Spinal Surgery: Surgeons’ Aided and Unaided Predictions." Thesis, Université d'Ottawa / University of Ottawa, 2020. http://hdl.handle.net/10393/41559.

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Despite the emergence of artificial intelligence (AI) and machine learning (ML) in medicine and the resultant interest in predictive analytics in surgery, there remains a paucity of research on the actual impact of prediction models and their effect on surgeons’ risk assessment of post-surgical complications. This research evaluated how spinal surgeons predict post-surgical complications with and without additional information generated by a ML predictive model. The study was conducted in two stages. In the preliminary stage an ML prediction model for post-surgical complications in spine sur

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4

Degerman, Engfeldt Johnny. "Predicting Electrochromic Smart Window Performance." Licentiate thesis, KTH, Tillämpad elektrokemi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-95167.

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The building sector is one of the largest consumers of energy, where the cooling of buildings accounts for a large portion of the total energy consumption. Electrochromic (EC) smart windows have a great potential for increasing indoor comfort and saving large amounts of energy for buildings. An EC device can be viewed as a thin-film electrical battery whose charging state is manifested in optical absorption, i.e. the optical absorption increases with increased state-of-charge (SOC) and decreases with decreased state-of-charge. It is the EC technology's unique ability to control the absorption

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Barnhart, Gregory J. "Predicting hail size using model vertical velocities." Thesis, Monterey, Calif. : Naval Postgraduate School, 2008. http://bosun.nps.edu/uhtbin/hyperion-image.exe/08Mar%5FBarnhart.pdf.

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Thesis (M.S. in Meteorology)--Naval Postgraduate School, March 2008.<br>Thesis Advisor(s): Nuss, Wendell. "March 2008." Description based on title screen as viewed on April 25, 2008. Includes bibliographical references (p. 47-49). Also available in print.

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6

Sofi, Backman. "A model for predicting robot dresspack damage." Thesis, Umeå universitet, Institutionen för fysik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-149369.

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7

McClain, Michael Patrick. "A micromechanical model for predicting tensile strength." Thesis, This resource online, 1996. http://scholar.lib.vt.edu/theses/available/etd-10052007-143117/.

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8

Gao, Zhiyuan, and Likai Qi. "Predicting Stock Price Index." Thesis, Halmstad University, Applied Mathematics and Physics (CAMP), 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-3784.

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<p>This study is based on three models, Markov model, Hidden Markov model and the Radial basis function neural network. A number of work has been done before about application of these three models to the stock market. Though, individual researchers have developed their own techniques to design and test the Radial basis function neural network. This paper aims to show the different ways and precision of applying these three models to predict price processes of the stock market. By comparing the same group of data, authors get different results. Based on Markov model, authors find a tendency of

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9

Seidu, Mohammed Nazib. "Predicting Bankruptcy Risk: A Gaussian Process Classifciation Model." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-119120.

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This thesis develops a Gaussian processes model for bankruptcy risk classification and prediction in a Bayesian framework. Gaussian processes and linear logistic models are discriminative methods used for classification and prediction purposes. The Gaussian processes model is a much more flexible model than the linear logistic model with smoothness encoded in the kernel with the potential to improve the modeling of the highly nonlinear relationships between accounting ratios and bankruptcy risk. We compare the linear logistic regression with the Gaussian process classification model in the con

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10

Chen, Dong. "Neural network model for predicting performance of projects." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape9/PQDD_0021/MQ48059.pdf.

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11

Allen, Susan Elise. "A Model for Predicting Bereavement Outcome in Widowhood." Thesis, University of North Texas, 1990. https://digital.library.unt.edu/ark:/67531/metadc331737/.

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The present longitudinal study examined the effects and interactions of several variables thought to affect adjustment to conjugal bereavement. Questionnaires were administered to 147 conjugally bereaved subjects and to 46 persons bereaved of close relatives other than spouse. Independent variables included experienced competence (self-esteem, locus of control, coping self-efficacy, and prior coping strategies), impact of loss (anticipation and preventabillty of loss, centrality of relationship and life change), and perceived resources. All of the independent variables were found to be importa

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12

Sandie, Reatha. "Predicting the Evolution of Influenza A." Thesis, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/22679.

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Vaccination against the Influenza A virus (IAV) is often an important and critical task for much of the population, as IAV causes yearly epidemics, and can cause even deadlier pandemics. Designing the vaccine requires an understanding of the current major circulating strains of Influenza, as well as an understanding of how those strains could change over time to become either less harmful or more deadly, or simply die out completely. An error in the prediction process can lead to a non-immunized population at risk of epidemics, or even a pandemic. Presented here is a posterior predictive appro

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13

Bowring, James Frederick. "Modeling and Predicting Software Behaviors." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/19754.

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Software systems will eventually contribute to their own maintenance using implementations of self-awareness. Understanding how to specify, model, and implement software with a sense of self is a daunting problem. This research draws inspiration from the automatic functioning of a gimbal---a self-righting mechanical device that supports an object and maintains the orientation of this object with respect to gravity independently of its immediate operating environment. A software gimbal exhibits a self-righting feature that provisions software with two auxiliary mechanisms: a historical mecha

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Bojcic, Predrag. "Development of a model for predicting thickener rake torque /." St. Lucia, Qld, 2000. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe17870.pdf.

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15

Ducey, Adam J. "Predicting Tablet Computer Use: An Extended Technology Acceptance Model." Scholar Commons, 2013. http://scholarcommons.usf.edu/etd/4471.

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While information technology has rapidly changed work in the United States in the past 50 years, some businesses and industries have been slow to adopt new technologies. Healthcare is one industry that has lagged behind in information technology investment for a variety of reasons. Recent federal initiatives to encourage IT adoption in the healthcare industry provide an ideal context to study factors that influence technology acceptance. Data from 261 practicing pediatricians were collected to evaluate an extended Technology Acceptance Model. Results indicated that individual (i.e., perceived

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Mued, Licha. "A model for predicting the performance of IP videoconferencing." Thesis, University of Plymouth, 2004. http://hdl.handle.net/10026.1/1952.

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With the incorporation of free desktop videoconferencing (DVC) software on the majority of the world's PCs, over the recent years, there has, inevitably, been considerable interest in using DVC over the Internet. The growing popularity of DVC increases the need for multimedia quality assessment. However, the task of predicting the perceived multimedia quality over the Internet Protocol (IP) networks is complicated by the fact that the audio and video streams are susceptible to unique impairments due to the unpredictable nature of IP networks, different types of task scenarios, different levels

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MONTEIRO, CAMILA MARIA DO NASCIMENTO. "MODEL FOR PREDICTING SHORT-TERM SPEED USING HOLT-WINTERS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2013. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=23270@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>PROGRAMA DE EXCELENCIA ACADEMICA<br>Após o choque de racionamento de energia elétrica, decorrente do desequilíbrio entre oferta e demanda, os vários setores da sociedade brasileira constataram a real e iminente necessidade de diversificação das fontes de geração de energia elétrica e de seu uso racional. Busca-se hoje novas fontes, entre as quais a energia eólica, uma alternativa nova e promissora. A energia eólica está aumentando no mundo todo e o Brasil tem um enorme potencia

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18

Scheckler, Rebecca Klein. "Predicting drug interactions with a three level causal model." Thesis, Virginia Tech, 1990. http://hdl.handle.net/10919/42156.

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A medical expert system for predicting qualitative pharmacodynamic interactions of the cardiovascular system is described. TLCM traces causal paths of drug action through up to three levels of drug action. The three levels which are molecular/receptor level, physiological level and clinical level provide both deep and shallow reasoning in order to overcome the problem of unknowns in medical expert systems. Sparsity of information in pharmacology results from necessity of using non-invasive techniques for monitoring drug effects in the human subject and difficulty in isolating effect from feedb

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Wright, James Frederick Carleton University Dissertation Geography. "A hybrid model for predicting permafrost occurrence and thickness." Ottawa, 1995.

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20

Bayer, Lucy. "The investment model and organizational commitment predicting workplace behaviors /." Diss., Connect to the thesis, 2009. http://hdl.handle.net/10066/3733.

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McGinnis, Daniel Frank. "Predicting Oxygen Transfer in Hypolimnetic Oxygenation Devices." Thesis, Virginia Tech, 2000. http://hdl.handle.net/10919/32286.

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The purpose of this research was to apply a discrete-bubble model to predict the performance of several hypolimnetic oxygenators. The model is used to predict the oxygen transfer rate in a hypolimnetic oxygenator based on the initial bubble size formed at the diffuser. The discrete-bubble model is based on fundamental principles, and therefore could also be applied to other mass transfer applications involving the injection of bubbles into a fluid. The discrete-bubble model has been applied to a linear bubble-plume diffuser, a full-lift hypolimnetic aerator and the Speece Cone with promisin

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22

au, Knebworth@iinet net, and Iain Cameron. "Understanding, modelling and predicting transport mobility in urban environments." Murdoch University, 2004. http://wwwlib.murdoch.edu.au/adt/browse/view/adt-MU20050513.141512.

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In the last three decades the global population has been growing at an essentially constant rate, at around 1.5 per cent per year, to about 6.026 billion in 2000 when it was estimated that 47% of that population live in an urban environment. Further, a United Nations projection indicates that 60% of the total global population may be living in an urban settlement by the year 2025. This increasing urbanisation brings with it increased employment, that delivers affluence, which then continues the cycle of migration and movement to these growing metropolitan areas in both developed and develop

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23

Wei, Jiang. "Modeling and predicting of different stock markets with GARCH model." Thesis, Uppsala universitet, Statistiska institutionen, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-175808.

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Sato, Toru. "Sociotropy-autonomy and interpersonal schemas, an interpersonal model predicting affect." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape10/PQDD_0003/NQ43450.pdf.

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25

Smith, Melanie Anne. "Predicting northern goshawk dynamics using an individual-based spatial model." CONNECT TO THIS TITLE ONLINE, 2007. http://etd.lib.umt.edu/theses/available/etd-05312007-161744/.

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26

Liu, Zhong. "Combining measurements with deterministic model outputs: predicting ground-level ozone." Thesis, University of British Columbia, 2007. http://hdl.handle.net/2429/362.

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The main topic of this thesis is how to combine model outputs from deterministic models with measurements from monitoring stations for air pollutants or other meteorological variables. We consider two different approaches to address this particular problem. The first approach is by using the Bayesian Melding (BM) model proposed by Fuentes and Raftery (2005). We successfully implement this model and conduct several simulation studies to examine the performance of this model in different scenarios. We also apply the melding model to the ozone data to show the importance of using the Bayesian mel

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27

Tam, C. M. "Discriminant analysis model for predicting contractor performance in Hong Kong." Thesis, Loughborough University, 1992. https://dspace.lboro.ac.uk/2134/6842.

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This thesis describes the development of an operational research model for the identification of determinating variables and prediction of contractor performance in Hong Kong. The mathematical technique used is the Discriminant Analysis approach. The model is also verified with two other analyses Multiple Regression Analysis and Unidimensional Scaling Analysis. One of the aims of the research is to betray the underlying factors that influence contractor performance which are measured in the clients' point of view. The second aim is to develop an accurate model for predicting contractor perform

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Sun, Wei. "Mathematical Model for Predicting Trace Organic Compounds in Anaerobic Digesters." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1378197057.

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29

Backer-Meurke, Henrik, and Marcus Polland. "Predicting Road Rut with a Multi-time-series LSTM Model." Thesis, Högskolan Dalarna, Institutionen för information och teknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:du-37599.

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Road ruts are depressions or grooves worn into a road. Increases in rut depth are highly undesirable due to the heightened risk of hydroplaning. Accurately predicting increases in road rut depth is important for maintenance planning within the Swedish Transport Administration. At the time of writing this paper, the agency utilizes a linear regression model and is developing a feed-forward neural network for road rut predictions. The aim of the study was to evaluate the possibility of using a Recurrent Neural Network to predict road rut. Through design science research, an artefact in the form

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30

Zimmer, Zachary. "Predicting NFL Games Using a Seasonal Dynamic Logistic Regression Model." VCU Scholars Compass, 2006. http://scholarscompass.vcu.edu/etd_retro/97.

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The article offers a dynamic approach for predicting the outcomes of NFL games using the NFL games from 2002-2005. A logistic regression model is used to predict the probability that one team defeats another. The parameters of this model are the strengths of the teams and a home field advantage factor. Since it assumed that a team's strength is time dependent, the strength parameters were assigned a seasonal time series process. The best model was selected using all the data from 2002 through the first seven weeks of 2005. The last weeks of 2005 were used for prediction estimates.

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Ryan, Jeanne A. M. "Predicting positive youth development outcomes using the social development model /." Thesis, Connect to this title online; UW restricted, 2000. http://hdl.handle.net/1773/8141.

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Saiyasombati, Penpan. "Mathematical model for predicting percutaneous absorption of fragrance raw materials." Cincinnati, Ohio : University of Cincinnati, 2003. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=ucin1061561348.

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33

Yao, Jie. "Model observers for predicting human performance on signal detection tasks." Diss., The University of Arizona, 1994. http://hdl.handle.net/10150/186612.

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Various model observers have been applied to the objective assessment of medical image quality. However, the relevance of this application to clinical efficacy depends largely on how well model observers predict human performance. Attempting to answer this question, this dissertation focuses on the investigation of a linear observer known as the Hotelling observer and a modified version of the Hotelling observer, known as the channelized Hotelling observer. Performances of these observers for a signal-known-exactly detection task are calculated and compared to the performance of the human obse

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bin, Syed Alaudin Al Qadiri Syed Kamalludin. "An empirical model for predicting the feasibility of corporate turnaround." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 1998. https://ro.ecu.edu.au/theses/1432.

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The primary objective of this research was to identify the determinants of corporate turnaround feasibility and their effect (in terms of their state of existence and their existence) on the probability of corporate turnaround feasibility in Successful and Non Successful Turnaround Companies. The other objective was the development of an empirical model of the determinants of corporate turnaround feasibility capable of predicting the feasibility of corporate turnarounds. One hundred 'troubled companies ' were identified out of two hundred and eleven publicly listed companies of the Kuala Lumpu

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35

Glardon, Christian. "PREDICTING RISKS OF INVASION OF CAULERPA SPECIES IN FLORIDA." Master's thesis, University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4219.

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Invasions of exotic species are one of the primary causes of biodiversity loss on our planet (National Research Council 1995). In the marine environment, all habitat types including estuaries, coral reefs, mud flats, and rocky intertidal shorelines have been impacted (e.g. Bertness et al. 2001). Recently, the topic of invasive species has caught the public's attention. In particular, there is worldwide concern about the aquarium strain of the green alga Caulerpa taxifolia (Vahl) C. Agardh that was introduced to the Mediterranean Sea in 1984 from the Monaco Oceanographic Museum. Since that time

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Mahzoon, Mohammad Javad. "Student Sequence Model| A Temporal Model For Exploring and Predicting Risk From Heterogeneous Student Data." Thesis, The University of North Carolina at Charlotte, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10791643.

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<p> Data models built for analyzing student data often obfuscate temporal relationships for reasons of simplicity, or to aid in generalization. We present a sequence model that is based on temporal relationships in heterogeneous student data as the basis for building predictive models to identify and understand students at risk. The properties of our sequence data model include temporal structure, segmentation, contextualization, and storytelling. To demonstrate the benefits of these properties, we have collected and analyzed 10 years of student data from the College of Computing at UNC Charlo

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Lee, Son Matthew Robert. "Predicting returns with the Put-Call Ratio." Diss., University of Pretoria, 2012. http://hdl.handle.net/2263/30616.

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Over 22 billion derivative contracts were traded on different stock exchanges globally during the year 2010 of which almost 50% were futures while the remaining 50% were options. An overall 25% increase in such contracts was registered as compared to those traded in the year 2009 (International Options Market Association (IOMA) Report, 2011).Investors often use a wide array of trading tools, market indicators and market trading strategies to get the best possible returns for the money that was invested. The main objective of this paper is to focus on the use of market sentiment indicators, spe

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Burris, Vickie Lien. "Hypolimnetic Aerators: Predicting Oxygen Transfer and Water Flow Rate." Thesis, Virginia Tech, 1998. http://hdl.handle.net/10919/30936.

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The objective of this research was to characterize the performance of hypolimnetic aerators with respect to oxygen transfer and water flow rate to allow the development of two comprehensive process models. The oxygen transfer model is the first model that applies discrete-bubble principles to a hypolimnetic aerator, and the water flow rate model is the first that applies an energy balance to this particular type of lake aeration device. Both models use fundamental principles to predict hypolimnetic aerator performance, as opposed to empirical correlations. The models were verifie

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Ottman, Michael. "Predicting Wheat Growth Using the CSM-Cropsim-CERES - Wheat Crop Model." College of Agriculture, University of Arizona (Tucson, AZ), 2008. http://hdl.handle.net/10150/203650.

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CSM-Cropsim-CERES -Wheat is a crop growth model that predicts crop development stages, among other things, using genetic coefficients for vernalization and photoperiod. We used this model to predict flowering date for 12 durum varieties seeded in trials at Maricopa and Yuma from 1998 to 2006. The difference between simulated and measured flowering date averaged 4 days without genetic coefficients and improved to 3.5 days if genetic coefficients for flowering and vernalization were included for each variety.

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Weaver, Sallie J. "Characteristics for success predicting intervention effectiveness with the job characteristics model /." Orlando, Fla. : University of Central Florida, 2008. http://purl.fcla.edu/fcla/etd/CFE0002040.

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Wang, Yin-Han. "Model and software development for predicting fish growth in trout raceways." Morgantown, W. Va. : [West Virginia University Libraries], 2006. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=4751.

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Thesis (M.S.)--West Virginia University, 2006.<br>Title from document title page. Document formatted into pages; contains xii, 105 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 47).

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Searcy, Chad Randall. "A multiscale model for predicting damage evolution in heterogeneous viscoelastic media." Diss., Texas A&M University, 2004. http://hdl.handle.net/1969.1/1251.

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A multiple scale theory is developed for the prediction of damage evolution in heterogeneous viscoelastic media. Asymptotic expansions of the field variables are used to derive a global scale viscoelastic constitutive equation that includes the effects of local scale damage. Damage, in the form discrete cracks, is allowed to grow according to a micromechanically-based viscoelastic traction-displacement law. Finite element formulations have been developed for both the global and local scale problems. These formulations have been implemented into a two-scale computational model Numerical res

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Simonsson, Mårten. "Predicting IT Governance Performance : A Method for Model-Based Decision Making." Doctoral thesis, KTH, Industriella informations- och styrsystem, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-9129.

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Contemporary enterprises are largely dependent on Information Technology (IT), which makes decision making on IT matters important. There are numerous issues that confuse IT decision making, including contradictive business needs, financial constraints, lack of communication between business and IT stakeholders and difficulty in understanding the often heterogeneous and integrated IT systems. The discipline of IT governance aims at providing the decision making structures, processes, and relational mechanisms, needed in order for IT to support and perpetuate the business. The adjacent discipli

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Roman, Christopher W. "Using a Model of Emotional Self-Efficacy in Predicting Work Outcomes." Thesis, Alliant International University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10744906.

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<p> Organizations are increasingly examining the potential benefits of integrating insights concerning emotional intelligence (EI) into their employee training and development programs to enhance their mission. Petrides’s EI model of trait emotional self-efficacy (ESE) has been defined as a constellation of emotion-related self-perceptions and dispositions assessed through self-report. This study explored the relationship between the four factors of Petrides’s ESE model (well-being, self-control, emotionality, and sociability) and the well-researched work outcomes of job satisfacti

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Knight, Karla Grace. "A fuzzy logic model for predicting commercial building design cost overruns." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ60445.pdf.

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Kowitlawakul, Yanika. "Technology acceptance model predicting nurses' acceptance of telemedicine technology (eICU®) /." Fairfax, VA : George Mason University, 2008. http://hdl.handle.net/1920/3058.

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Thesis (Ph.D.)--George Mason University, 2008.<br>Vita: p. 116. Thesis director: Jean Burley Moore. Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Nursing. Title from PDF t.p. (viewed July 3, 2008). Includes bibliographical references (p. 108-115). Also issued in print.

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Huang, Xiaoyan. "Predicting Short-Term Exchange Rates with a Hybrid PPP/UIP Model." Scholarship @ Claremont, 2013. http://scholarship.claremont.edu/scripps_theses/236.

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This study creates a model to predict short-term exchange rates as a combination of the relative purchasing power parity model (Grossman and Simpson 2011) and the interest power parity model. I then use the statistical techniques ARMA and GARCH to account for the variance of the terms. Previous works considered the effects of these models individually, but mine consider them in unison. I consider both in-sample and out-of-sample tests. I use data on five major exchange rates (JPY/USD, CAD/USD, CHF/USD, GBP/USD, and AUD/USD) sampled at a monthly frequency from 1989-2013. My model statistically

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Weaver, Sallie. "CHARACTERISTICS FOR SUCCESS: PREDICTING INTERVENTION EFFECTIVENESS WITH THE JOB CHARACTERISTICS MODEL." Master's thesis, University of Central Florida, 2008. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2697.

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The current study examines the effects of the five core job characteristics (skill variety, task significance, task identity, autonomy, and feedback) proposed by Hackman-Oldham (1974) at the team level by investigating whether the model variables are related to the effectiveness of a motivationally-based team-level productivity enhancement intervention. Previous literature has almost exclusively focused on the effects of these job characteristics at the individual level and their direct relationships with employee attitudes and subjective measures of performance. This thesis aims to further th

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TAVARA, EDWIN GERMAN MALDONADO. "MULTIOBJETIVE GENETIC ALGORITHM FOR PREDICTING PROTEIN STRUCTURES IN HYDROPHOBIC – POLAR MODEL." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2012. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=23526@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>PROGRAMA DE EXCELENCIA ACADEMICA<br>O problema da predição das estruturas de proteínas (Protein Structure Prediction (PSP)) é um dos desafios mais importantes na biologia molecular. Pelo fato deste problema ser muito difícil, têm sido propostos diferentes modelos simplificados para resolvê-lo. Um dos mais estudados é o modelo, Hidrofóbico-Polar (HP), o modelo HP fornece uma estimativa da energia da proteína com base na soma de interações entre pares de aminoácidos hidrofóbicos

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ARRIETA, CLARENA PATRICIA ARRIETA. "STATISTICAL MODEL FOR PREDICTING THE SUPPLY OF HIGHER EDUCATION: 2015-2035." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2018. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=35308@1.

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Abstract:

PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>Segundo o INEP/MEC, nos últimos 20 anos, o número de matrículas da educação superior de graduação no Brasil cresceu mais de duas vezes, com uma taxa de crescimento anual verificada a partir de 2001 em torno de 5,7 por cento ao ano. Ainda segundo esta instituição, em 2008 houve o ingresso de 1.505.819 novos estudantes nos cursos presenciais, ao mesmo tempo em que 1.479.318 vagas não foram ocupadas, sendo que 54,6 por cento do total de vagas ofertadas pelo setor privado. Tendo e

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