Dissertations / Theses on the topic 'MULTIFACET ANALYSIS'
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Dutson, Andrew S. "A Multifaceted Sedimentological Analysis on Hobble Creek." BYU ScholarsArchive, 2011. https://scholarsarchive.byu.edu/etd/2625.
Full textBORTOLOZZI, MAURO. "Modeling and analysis of special electrical machines for distributed generation." Doctoral thesis, Università degli Studi di Trieste, 2017. http://hdl.handle.net/11368/2908185.
Full textBehera, Madhusmita. "A Multifaceted Analysis of Early Stage Non-Small Cell Lung Cancer Data." Scholar Commons, 2012. http://scholarcommons.usf.edu/etd/3973.
Full textHille, Kathryn Streeter. "Student Placement: A Multifaceted Methodological Toolkit." Ohio University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1573216693530411.
Full textLonghi, Sara. "Multifaceted investigation into apple to unravel texture physiology." Doctoral thesis, country:IT, 2012. http://hdl.handle.net/10449/23915.
Full textLONGHI, SARA. "MULTIFACETED INVESTIGATION TO UNRAVEL APPLE FRUIT TEXTURE PHYSIOLOGY." Doctoral thesis, Università degli Studi di Milano, 2012. http://hdl.handle.net/2434/168714.
Full textTettey, Christian. "URBANIZATION IN AFRICA IN RELATION TO SOCIO-ECONOMIC DEVELOPMENT: A MULTIFACETED QUANTITATIVE ANALYSIS." Akron, OH : University of Akron, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=akron1124911124.
Full text"August, 2005." Title from electronic dissertation title page (viewed 01/14/2006) Advisor, Ashok K. Dutt; Committee members, Peter Leahy, Nancy Grant, Lathardus Goggins, Helen Liggett, Carolyn Behrman; Department Chair, Raymond Cox; Dean of the College, Charles B. Monroe; Dean of the Graduate School, George R. Newkome. Includes bibliographical references.
Brewer, Tim M. "The glow discharge - a multifaceted optical emission source from solids analysis to metalloproteins /." Connect to this title online, 2007. http://etd.lib.clemson.edu/documents/1181251765/.
Full textDETTORI, ANGELA. "The multifaceted world of sustainability. An analysis of about 30 years of studies." Doctoral thesis, Università degli Studi di Cagliari, 2015. http://hdl.handle.net/11584/266820.
Full textHuang, Jessie. "Situational Context, Philosophical Belief, and Moral Constructs: The Multifaceted Nature of Moral Judgment." Scholarship @ Claremont, 2014. http://scholarship.claremont.edu/cmc_theses/809.
Full textFakhim, Babak. "Multifaceted Analysis of Data Centre Cooling Using CFD, Experiment and Second Law of Thermodynamics." Thesis, The University of Sydney, 2014. http://hdl.handle.net/2123/11430.
Full textHOFFMAN, BRIAN D. "Tonal Mirages: a multifaceted view of tonality in the early transitional pieces of Alexander Scriabin." University of Cincinnati / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1204809598.
Full textKavasidis, Isaak. "Multifaceted analysis for medical data understanding: from data acquisition to multidimensional signal processing to knowledge discovery." Doctoral thesis, Università di Catania, 2016. http://hdl.handle.net/10761/3925.
Full textMalovrh, Paul A. "A multifaceted analysis of the interlanguage development of Spanish direct-object clitic pronouns observed in L2-learner production." [Bloomington, Ind.] : Indiana University, 2008. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3330788.
Full textTitle from PDF t.p. (viewed on Jul 22, 2009). Source: Dissertation Abstracts International, Volume: 69-10, Section: A, page: 3929. Adviser: Kimberly L. Geeslin.
Gosal, Arjan. "A multifaceted approach to spatial analysis of ecosystem services : a case study in the New Forest National Park." Thesis, Bournemouth University, 2018. http://eprints.bournemouth.ac.uk/30530/.
Full textJansen, van Vuuren Stephanus Petrus. "A multifaceted retrospective analysis of the association between Zolpidem administration and increased brain perfusion and function in neurologically compromised patients." Diss., University of Pretoria, 2014. http://hdl.handle.net/2263/46054.
Full textDissertation (MSc)--University of Pretoria, 2014.
tm2015
Physiology
MSc
Unrestricted
Sassi, Arobba Paolo Juan. "Experimental analysis of multiphase flows. Design and setup of an experimental facility." Doctoral thesis, Universitat Rovira i Virgili, 2021. http://hdl.handle.net/10803/671990.
Full textLa dinámica de los flujos trifásicos se rige por fenómenos de alta complejidad, tanto conceptual como matemática. Una mejor comprensión así como un incremento en la capacidad de predicción de su dinámica, son cruciales para el diseño y construcción de instalaciones de interés para una amplia gama de industrias. Este trabajo de investigación presenta el diseño y montaje de LESLIE, un circuito cerrado de baja presión destinado a la investigación experimental de la dinámica de flujos bifásicos y trifásicos a través de tuberías y sus accesorios. LESLIE está pensado para obtener medidas de parámetros clave y caracterizar flujos multifásicos con fases gaseosas, líquidas y sólidas, tanto en tuberías horizontales como verticales.Presentamos aquí nuevos datos experimentales para regímenes intermitentes en flujos bifásicos y trifásicos en configuración horizontal usando aire, agua y partículas de polipropileno con tamaños de entre 1 y 2 milímetros. Visualizaciones del flujo, medidas de presión y fracción de vacío se han obtenido para diferentes condiciones de operación de flujos intermitentes. En este trabajo investigamos el impacto de la presencia de partículas sólidas sobre la caída de presión, el régimen de flujo y la frecuencia del "slug". Además, el análisis del comportamiento de flujos bifásicos anulares mediante técnicas de procesado de imágenes ha permitido obtener resultados sobre la distribución de tamaño de partícula, las cuales también se presentan en este trabajo.
The dynamics of three-phase flows involve phenomena of high complexity, whose understanding and an enhanced prediction capacity of fluid dynamics in multiphase flow systems is crucial for the design and construction of facilities meant for a wide range of industries. This research work presents the design and set up of LESLIE, a low pressure multiphase flow loop for the experimental analysis of two and three-phase flows through pipelines and their accessories. It is designed to measure key parameters, so as to characterise the behaviour of multiphase flows involving gas, liquid and solid phases both in horizontal and vertical pipelines. New experimental data is presented in this study for intermittent two and three-phase flows in horizontal pipelines involving air, water and polypropylene pellets of sizes ranging between 1 and 2 millimetres. Flow visualization, pressure and void fraction measurements were performed and are explored in this work for the case of intermittent flows for a variety of settings. The influence of solid particles over the frictional pressure drop, flow regime and slug frequency is reported in this work. Furthermore, the analysis of the dynamics of annular two-phase flows by means of image processing techniques has allowed obtaining droplet size distributions, which are also presented in this study.
Sciumè, Giuseppe. "Thermo-hygro-chemo-mechanical model of concrete at early ages and its extension to tumor growth numerical analysis." Doctoral thesis, Università degli studi di Padova, 2013. http://hdl.handle.net/11577/3426302.
Full textL’obiettivo del Dottorato è stato lo sviluppo di due modelli multifase basati su fondamenti teorici comuni ma applicati a due campi della ricerca scientifica molto diversi: i) lo studio del comportamento termo-igro-chemo-meccanico del calcestruzzo giovane; ii) l’analisi dei fenomeni fisici, chimici e biologici che regolano la crescita e lo sviluppo dei tumori. La modellazione numerica del comportamento del calcestruzzo giovane è di grande importanza per la progettazione di strutture sostenibili e durevoli. Il modello sviluppato durante il Dottorato è stato implementato nel codice agli elementi finiti Cast3M e in seguito validato con la simulazione di casi sperimentali. Il modello numerico consente un’ampia gamma di applicazioni: studio delle sollecitazioni e dei fenomeni di fessurazione nel calcestruzzo durante i primi giorni dopo la posa in opera, analisi dei gradienti termici e igrometrici, valutazione del ritiro autogeno e di essiccazione, studio dell’inibizione dell’idratazione causata dall’essiccazione, ridistribuzione delle tensioni dovuta al ritiro e alle deformazioni differite, modellazione delle riparazioni. Le equazioni che governano il comportamento termo-igro-chemo-meccanico del calcestruzzo hanno molte analogie formali con quelle che sono tipicamente alla base della modellazione della crescita dei tumori. L'allargamento dell'analisi numerica al campo medico è di grande interesse sociale oltre che scientifico, pertanto le equazioni utilizzate per il calcestruzzo sono state riadattate per la modellazione della crescita tumorale, e il modello matematico ottenuto è stato anch’esso introdotto in Cast3M. I primi risultati di questo modello sono stati soddisfacenti perché qualitativamente molto simili ai dati sperimentali della letteratura scientifica.
GILL, VIDHU VASAV SINGH. "MULTIFACET ANALYSIS OF INDIAN EDTECH SECTOR." Thesis, 2021. http://dspace.dtu.ac.in:8080/jspui/handle/repository/19665.
Full textChen, Yung-Lin, and 陳永霖. "Multifaceted Analysis of Migraine Brain MRI and Machine Learning." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/8d45vr.
Full text國立陽明大學
生醫光電研究所
107
Background Computational Analysis of MRI has been developed for a long time. With the purpose of automation, rapidity, precision and low inter-subject variability, it offers feature quantification for scientific research, and clinically assists to diagnosis and medical treatment. The algorithms also include machine learning (ML) and deep learning, and they can apply on image segmentation and classification. Migraine is a primary headache that the etiology is still unclear, and its pathology is diverse also complex. Therefore, in this study, we aimed to analyze clinical migraine data, using different algorithms to make an integrated investigation to complete three missions: 1. Applying computational analysis to T1W image and rsfMRI, and compare binary sub-groups in four groups: migraine without depression (MwoD) versus with depression (MwD), migraine without aura (MwoA) versus with aura (MwA), control versus migraine with severe headache above 5 days per month, and control versus migraine occurred over 10 years 2. To perform ML and deep learning binary classification by using structural and functional features and the knowledge based on previous studies. Materials and methods In this study, we collected 46 normal control MRI and 251 migraine MRI with clinical data, and MRI sequences contain structural T1W image and rsfMRI. T1W analysis were using both VBM and SBM method. VBM calculates the spatial standardized GM distribution, and SBM calculates the numeric features including volume, thickness and surface area in each GM parcellation, and volume of WM and ventricles. In rsfMRI, we calculated fALFF map, ReHo map and functional connectivity in each subject. We use permutation test for functional connectivity statistics (correlation coefficient and dynamic variance), and two sample T-test for others. Finally, we apply ML by using numeric or volumetric feature to perform binary classification between two sub-groups. Results We found from structural MRI that migraine occurring above 5 years would decrease GM volume in right parietal and frontal lobe, and migraine with headache above 10 days per month would have similar pattern in frontal and temporal lobe. Aura would not affect GM volume, while depression would decrease GM volume in several regions. In fALFF and ReHo results, headache, aura and depression had distinct activation and deactivation regions. In the group of control versus migraine occurring above 5 years, and control versus migraine with headache above 10 days per month, the differences appeared in many places and both had similar patterns in occipital lobe. Among these 4 groups, the group MwoA versus MwA was found with the strongest and highest amount of difference in functional connectivity correlation coefficient and variance. In depression group, the differences were mainly in bilateral temporal lobe, and in two headache groups, the differences were more fragmentary. Performances for classifying migraine and migraine subgroup were not ideal. The best result was classifying aura in migraine using ML and functional connectivity features, and the testing accuracy is 73.3%. Conclusion The depression, aura and headache symptoms would affect in brain microstructure and functions respectively. Therefore, the structural and functional MRI may find various individual differences, and the individual differences affects directly the ML performance.
"Modeling Multifaceted Constructs in Statistical Mediation Analysis: A Bifactor Approach." Master's thesis, 2016. http://hdl.handle.net/2286/R.I.40207.
Full textDissertation/Thesis
Masters Thesis Psychology 2016
Weber, Zhanni. "Improving the prognosis of patients with Staphylococcus aureus bloodstream infections: A multifaceted treatment analysis." 2015. http://hdl.handle.net/1993/30215.
Full text"A multifaceted analysis of the interlanguage development of Spanish direct-object clitic pronouns observed in L2-learner production." INDIANA UNIVERSITY, 2009. http://pqdtopen.proquest.com/#viewpdf?dispub=3330788.
Full textKaihar, Sunita. "Multifaceted broadcasting : an analysis into Lotus FM's role and identity as a "national public service-cum-commercial broadcaster with community responsibility"." Thesis, 2001. http://hdl.handle.net/10413/5323.
Full textThesis (M.A.)-University of Natal, Durban, 2001.
Wu, Shu-Hui, and 吳書慧. "Effects of a Multifaceted Fall Prevention Program on Falls and Physical Functioning in Community-dwelling Elderly — Subgroup Analyses for Different Fall Risks." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/75663856665070410259.
Full text國立陽明大學
物理治療暨輔助科技學系
99
Background: Falls are one of the leading causes of morbidity and mortality among people aged 65 years and older, resulting in marked costs and social burden. This study aimed to evaluate the effect of a multifaceted fall prevention program on the incidence of falls and physical function in community-dwelling elderly, and particularly perform subgroup analyses for different fall risks. Methods: Community-dwelling elderly aged 65 and older who met our fall screening criteria were recruited to participate in a stratified randomized controlled fall-prevention trial. Multifaceted intervention group (IG) received exercise program, fall prevention education courses, recommendations for home hazards modifications, as well as referrals for medication or vision check-up. The control group (CG) received recommendation and referrals without direct exercise intervention. The primary outcome was incidence of falls in 12 months including number of falls and fallers. Secondary outcomes were Physiological Profile Assessment (PPA) battery (including vision, muscular strength, reaction time, balance and proprioception), timed up-and-go (TUG), Taiwanese- International Physical Activity Questionnaire (IPAQ), and Fall Efficacy Scale (FES). Independent t-test and paired t-test were used to examine the number of falls within 1 year before-and-after the intervention between IG and CG, while McNemar and Chi-square tests were performed to compare the number of fallers before-and-after the intervention between two groups. Number of falls during the follow-up period was analyzed using negative binomial regression analysis, while time-dependent fall incidence was analyzed using Kaplan-Meier survival analysis. Change in physical functioning before-and-after the intervention was analyzed using two-way ANOVA with repeated measures. Subgroup analyses for different PPA fall risks were performed in each statistical analysis. All analyses were based on intention-to-treat approach. Results: This study recruited 411 older participants with mean age of 77±7 years from hospital outpatient clinics or communities. The fall incidence within 1-year for IG (29%) and CG (29%) showed no significant difference; incidence rate ratio (IRR) for IG vs CG was 1.00 (95% CI= 0.72-1.39) as shown by the negative binomial regression analysis. Subgroup analyses stratified by PPA risk found that there was no significant difference in fall incidences in both groups for any fall-risk stratum: low risk (IG: CG=19%: 27%, p=.358), moderate risk (IG: CG=40%: 24%, p=.078), and marked risk (IG: CG=28%: 35%, p=.327). The fall incidence during the 1-yr follow-up period significantly decreased from 48.1% to 28.6% (P<.001) in IG, while no significant decrease in CG (36.3%→28.9%, P=.101). “Subjects recruiting from the hospital outpatient/emergency department” and “history of previous fall” were significant predictors for number of falls or fallers during the follow-up period. Both IG and CG improved significantly in most secondary outcomes after intervention, especially for those with moderate or marked fall risk; however, it revealed no significant within-group difference. Conclusion: The findings of 29% fall incidence in both groups during the 1-yr follow-up period along with the significant decrease of fall incidence from 48.1% to 28.6% in IG might suggest the potentially role of the multi- faceted fall-prevention program. Interventions including recommendation and referrals seemed to take some effects on improving physical functions of the elderly, especially to the moderate or marked risk group. Whether higher-intensity of longer duration exercise program is required to significantly decrease the fall incidence warrants further study.
Hughes, M. "The core self-evaluations personality construct : testing a bifactor model." Thesis, 2022. https://eprints.utas.edu.au/47066/1/Hughes_whole_thesis.pdf.
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