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Thematische Bibliographien / Dose prediction / Dissertationen

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Dissertationen zum Thema „Dose prediction“

Autor: Grafiati

Veröffentlicht am 24. Juni 2021

Zuletzt aktualisiert am 29. Juli 2025

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1

Eriksson, Niclas. "On the Prediction of Warfarin Dose." Doctoral thesis, Uppsala universitet, Klinisk farmakologi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-172864.

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Warfarin is one of the most widely used anticoagulants in the world. Treatment is complicated by a large inter-individual variation in the dose needed to reach adequate levels of anticoagulation i.e. INR 2.0 – 3.0. The objective of this thesis was to evaluate which factors, mainly genetic but also non-genetic, that affect the response to warfarin in terms of required maintenance dose, efficacy and safety with special focus on warfarin dose prediction. Through candidate gene and genome-wide studies, we have shown that the genes CYP2C9 and VKORC1 are the major determinants of warfarin maintenanc

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SKARPMAN, MUNTER JOHANNA. "Dose-Volume Histogram Prediction using KernelDensity Estimation." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-155893.

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Dose plans developed for stereotactic radiosurgery are assessed by studying so called Dose-Volume Histograms. Since it is hard to compare an individual dose plan with doseplans created for other patients, much experience and knowledge is lost. This thesis therefore investigates a machine learning approach to predicting such Dose-Volume Histograms for a new patient, by learning from previous dose plans.The training set is chosen based on similarity in terms of tumour size. The signed distances between voxels in the considered volume and the tumour boundary decide the probability of receiving a

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Nilsson, Viktor. "Prediction of Dose Probability Distributions Using Mixture Density Networks." Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273610.

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In recent years, machine learning has become utilized in external radiation therapy treatment planning. This involves automatic generation of treatment plans based on CT-scans and other spatial information such as the location of tumors and organs. The utility lies in relieving clinical staff from the labor of manually or semi-manually creating such plans. Rather than predicting a deterministic plan, there is great value in modeling it stochastically, i.e. predicting a probability distribution of dose from CT-scans and delineated biological structures. The stochasticity inherent in the RT trea

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Harris, Shelley A. "The development and validation of a pesticide dose prediction model." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape9/PQDD_0002/NQ41170.pdf.

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5

Irving, Benjamin. "Radiation dose measurement and prediction for linear slit scanning radiography." Master's thesis, University of Cape Town, 2008. http://hdl.handle.net/11427/3251.

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Includes abstract.<br>Includes bibliographical references (leaves 112-117).<br>This study describes dose measurements made for linear slit scanning radiography (LSSR) and a dose prediction model that was developed for LSSR. The measurement and calculation methods used for determining entrance dose and effective dose (E) in conventional X-ray imaging systems were verified for use with LSSR. Entrance dose and E were obtained for LSSR and compared to dose measurements on conventional radiography units. Entrance dose measurements were made using an ionisation chamber and dosemeter; E was calculate

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Patel, Raj B., and Raj B. Patel. "Prediction of Human Intestinal Absorption." Diss., The University of Arizona, 2017. http://hdl.handle.net/10150/624487.

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The proposed human intestinal absorption prediction model is applied to over 900 pharmaceuticals and has about 82.5% true prediction power. This study will provide a screening tool that can differentiate well absorbed and poorly absorbed drugs in the early stage of drug discovery and development. This model is based on fundamental physicochemical properties and can be applied to virtual compounds. The maximum well-absorbed dose (i.e., the maximum dose that will be more than 50 percent absorbed) calculated using this model can be utilized as a guideline for drug design, synthesis, and pre-clini

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Eriksson, Ivar. "Image Distance Learning for Probabilistic Dose–Volume Histogram and Spatial Dose Prediction in Radiation Therapy Treatment Planning." Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273608.

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Construction of radiotherapy treatments for cancer is a laborious and time consuming task. At the same time, when presented with a treatment plan, an oncologist can quickly judge whether or not it is suitable. This means that the problem of constructing these treatment plans is well suited for automation. This thesis investigates a novel way of automatic treatment planning. The treatment planning system this pipeline is constructed for provides dose mimicking functionality with probability density functions of dose–volume histograms (DVHs) and spatial dose as inputs. Therefore this will be the

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Eriksson, Oskar. "Scenario dose prediction for robust automated treatment planning in radiation therapy." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-302568.

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Cancer is a group of diseases that are characterized by abnormal cell growth and is considered a leading cause of death globally. There are a number of different cancer treatment modalities, one of which is radiation therapy. In radiation therapy treatment planning, it is important to make sure that enough radiation is delivered to the tumor and that healthy organs are spared, while also making sure to account for uncertainties such as misalignment of the patient during treatment. To reduce the workload on clinics, data-driven automated treatment planning can be used to generate treatment plan

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Schuler, Paul Joseph. "Polymer dose prediction for sludge dewatering with a belt filter press." Thesis, Virginia Tech, 1990. http://hdl.handle.net/10919/42227.

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This study was undertaken to examine the polymer mixing requirements for sludge dewatering with a belt filter press. This involved correlating full-scale field studies to small scale laboratory testing. Bench testing involved the use of a high-speed mixer and two sludge dewatering response tests: the capillary suction time test and the time-to filter test. Full-scale testing measured the belt press response to belt speed, sludge throughput, and polymer dose. Data indicated that the conditioning and dewatering scheme of the three belt filter presses was a low shear, low total mixing energy op

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Podda, G. "PREDICTION OF OPTIMAL WARFARIN MAINTENANCE DOSE USING ADVANCED ARTIFICIAL NEURAL NETWORKS." Doctoral thesis, Università degli Studi di Milano, 2013. http://hdl.handle.net/2434/219087.

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Introduction. The individual response to vitamin K antagonists (VKA) is highly variable, being influenced by clinical factors and genetic variants of enzymes that are involved in the metabolism of VKA (CYP2C)) and vitamin K (VKORC1). Currently, the dose of VKA is adjusted based on measurements of the prothrombin time. In the last years, mathematical algorithms were developed for estimating the appropriate VKA dose, based on different mathematical approaches working on clinical and genetic data. Artificial Neural Networks (ANN) are computerized algorithms resembling interactive processes of th

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McCurdy, Boyd Matthew Clark. "Development of a portal dose image prediction algorithm for arbitrary detector systems." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/NQ62655.pdf.

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Hellström, Terese. "Deep-learning based prediction model for dose distributions in lung cancer patients." Thesis, Stockholms universitet, Fysikum, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-196891.

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Background To combat one of the leading causes of death worldwide, lung cancer treatment techniques and modalities are advancing, and the treatment options are becoming increasingly individualized. Modern cancer treatment includes the option for the patient to be treated with proton therapy, which can in some cases spare healthy tissue from excessive dose better than conventional photon radiotherapy. However, to assess the benefit of proton therapy compared to photon therapy, it is necessary to make both treatment plans to get information about the Tumour Control Probability (TCP) and the Norm

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Arvola, Maja. "Deep Learning for Dose Prediction in Radiation Therapy : A comparison study of state-of-the-art U-net based architectures." Thesis, Uppsala universitet, Avdelningen för systemteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447081.

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Machine learning has shown great potential as a step in automating radiotherapy treatment planning. It can be used for dose prediction and a popular deep learning architecture for this purpose is the U-net. Since it was proposed in 2015, several modifications and extensions have been proposed in the literature. In this study, three promising modifications are reviewed and implemented for dose prediction on a prostate cancer data set and compared with a 3D U-net as a baseline. The tested modifications are residual blocks, densely connected layers and attention gates. The different models are co

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Scharin, Täng Margareta. "Importance of cardiac reserve for evaluation and prediction of cardiac function and morbidity assessed by low-dose dobutamine stress echocardiography /." Göteborg : Göteborg University, 2007. http://hdl.handle.net/2077/4426.

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Taulbee, Timothy Dale. "Measurement and model prediction of proton-recoil track length distributions in NTA film dosimeters for neutron energy spectroscopy and retrospective dose assessment." Cincinnati, Ohio : University of Cincinnati, 2009. http://www.ohiolink.edu/etd/view.cgi?acc_num=ucin1235764236.

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Thesis (Ph.D.)--University of Cincinnati, 2009.<br>Advisors: Henry Spitz PhD (Committee Chair), Bingjing Su PhD (Committee Member), John Christenson PhD (Committee Member). Title from electronic thesis title page (viewed May 1, 2009). Keywords: NTA; proton-recoil; neutron spectroscopy; dose assessment; track length; Monte Carlo; neutron transport; neutron interactions. Includes abstract. Includes bibliographical references.

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Mylona, Eugenia. "From global to local spatial models for improving prediction of urinary toxicity following prostate cancer radiotherapy." Thesis, Rennes 1, 2019. http://www.theses.fr/2019REN1S109.

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La radiothérapie externe est un traitement locorégional du cancer. L’objectif de la radiothérapie impose un compromis entre la délivrance d’une dose maximale dans la tumeur afin d’augmenter le contrôle local et la curabilité, et d’une dose minimale aux organes sains afin de limiter la toxicité. Les symptômes urinaires peuvent être liés à l’irradiation de régions spécifiques de la vessie ou de l'urètre. Dans ce cas, la dose reçue par l'ensemble de la vessie peut ne pas suffire à expliquer la toxicité urinaire. Dans le contexte du traitement du cancer de la prostate par radiothérapie, ce travail

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Onthank, David C. "Prediction of "First Dose in Human" for radiopharmaceuticals/imaging agents based on allometric scaling of pharmacokinetics in pre-clinical animal models." Link to electronic dissertation, 2005. http://www.wpi.edu/Pubs/ETD/Available/etd-011006-132234/.

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Onthank, David C. "Prediction of "First Dose in Human" for Radiopharmaceuticals/Imaging Agents Based on Allometric Scaling of Pharmacokinetics in Pre-Clinical Animal Models." Digital WPI, 2006. https://digitalcommons.wpi.edu/etd-dissertations/443.

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It is an FDA requirement that the“first in human" dose be based on pre-clinical animal model efficacy and safety testing to ensure a safe entry into Phase I clinical trials. Pre-clinical safety and efficacy models range from mouse to non-human primates. Interspecies scaling of pharmacokinetic parameters is therefore important for predicting drug doses in human clinical trials, although it continues to be less than optimal. Understanding the disposition of the compound in different species through in vitro and in vivo experiments is necessary to ensure appropriate species are selected for human

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Alassaad, Anna. "Improving the Quality and Safety of Drug Use in Hospitalized Elderly : Assessing the Effects of Clinical Pharmacist Interventions and Identifying Patients at Risk of Drug-related Morbidity and Mortality." Doctoral thesis, Uppsala universitet, Institutionen för medicinska vetenskaper, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-234488.

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Older people admitted to hospital are at high risk of rehospitalization and medication errors. We have demonstrated, in a randomized controlled trial, that a clinical pharmacist intervention reduces the incidence of revisits to hospital for patients aged 80 years or older admitted to an acute internal medicine ward. The aims of this thesis were to further study the effects of the intervention and to investigate possibilities of targeting the intervention by identifying predictors of treatment response or adverse health outcomes. The effect of the pharmacist intervention on the appropriateness

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Dickson, Jeanette. "Predicting normal tissue radiosensitivity." Thesis, University of Glasgow, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.366256.

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Jeremias, A. Teresa. "Dor crónica lombar: modelo preditivo dos resultados da fisioterapia." Master's thesis, Instituto Politécnico de Setúbal. Escola Superior de Saúde, 2013. http://hdl.handle.net/10400.26/5558.

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Dissertação de mestrado em Fisioterapia.<br>Objetivo: O estudo pretendeu determinar se um modelo baseado nos fatores de prognóstico, identificados na literatura, pode prever os resultados da intervenção em Fisioterapia, a curto prazo, em utentes com DLC, ao nível da incapacidade funcional, intensidade da dor e perceção global de melhoria. Introdução: Estima-se elevada prevalência e incidência de dor crónica lombar tanto em Portugal como em todos os países desenvolvidos. Esta é responsável por elevados índices incapacidade funcional, absentismo laboral e pela maioria dos custos do sistema de s

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Tongtoe, Samruam. "Failure Prediction of Spatial Wood Structures: Geometric and Material Nonlinear Finite Element Analysis." Diss., Virginia Tech, 1997. http://hdl.handle.net/10919/30557.

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The purpose of this study is to investigate spatial wood structures, trace their response on equilibrium paths, identify failure modes, and predict the ultimate load. The finite element models of this study are based on the Crafts Pavilion dome (Triax) in Raleigh, North Carolina, and the Church of the Nazarene dome (Varax) in Corvallis, Oregon. Modeling considerations include 3-d beam finite elements, transverse isotropy, torsional warping, beam-decking connectors, beam-beam connectors, geometric and material nonlinearities, and the discretization of pressure loads. The primary objective of

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Roy, Janine. "From Correlation to Causality: Does Network Information improve Cancer Outcome Prediction?" Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-144933.

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Motivation: Disease progression in cancer can vary substantially between patients. Yet, patients often receive the same treatment. Recently, there has been much work on predicting disease progression and patient outcome variables from gene expression in order to personalize treatment options. A widely used approach is high-throughput experiments that aim to explore predictive signature genes which would provide identification of clinical outcome of diseases. Microarray data analysis helps to reveal underlying biological mechanisms of tumor progression, metastasis, and drug-resistance in cancer

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Estefan, Dalia. "Predicting toxicity caused by high-dose-ratebrachytherapy boost for prostate cancer." Thesis, Örebro universitet, Institutionen för medicinska vetenskaper, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-76216.

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Introduction Treating localized prostate cancer with combination radiotherapy consisting ofexternal beam radiotherapy (EBRT) and high-dose-rate brachytherapy (HDR-BT) has beenproven to result in better disease outcome than EBRT only. There is, however, a decreasingtrend in utilization of combination therapy, partially due to concerns for elevated toxicityrisks. Aim To determine which parameters correlate to acute and late (≤ 6 months) urinary toxicity(AUT and LUT) and acute and late rectal toxicity (ART and LRT), and thereafter createpredictive models for rectal toxicity. Methods Data on toxic

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Moerup, Casper Jacob. "Prediction of claim cost in general insurance." Master's thesis, Instituto Superior de Economia e Gestão, 2019. http://hdl.handle.net/10400.5/18176.

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Mestrado em Actuarial Science<br>O trabalho seguinte foi realizado durante uma colocação de estágio na If Industrial P & C Insurance, em Estocolmo, na Suécia. Este relatório destaca e discute algumas das diferenças entre o seguro industrial e privado e percorre o processo de “Análise do Ano Normal”. A análise avalia os dados das reivindicações com o objetivo de projetar as perdas em um ano no futuro. A Teoria do Risco Colectivo e a Estimação da Máxima Verossimilhança são utilizadas para obter uma estimativa da gravidade das reivindicações. Além disso, as reservas são estimadas usando o método

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PELOUX, ANNE-FRANCOISE. "Mise au point et validation d'un modele de cytotoxicite aigue predictif de la dl 50." Aix-Marseille 2, 1991. http://www.theses.fr/1991AIX22954.

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Hooshmand, Sahand. "A novel model for predicting lifetime dose and risk in screening mammography." Thesis, The University of Sydney, 2022. https://hdl.handle.net/2123/29893.

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Aims The aim of this thesis was to establish a novel dose and risk model that could serve to accurately calculate a woman’s mean glandular dose (MGD) across a lifetime of breast screening, anywhere from the ages of 40 to 75 years, using only the information from her first screening visit. It would then use this information to allocate that woman to either a low, medium, or high dose category. Following this, the model could then estimate the risk of radiation-induced breast cancer incidence and mortality for a population of women in the allocated dose category, considering specific screenin

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Glória, Leonardo Siqueira. "Assessment of genome-wide prediction by using Bayesian regularized neural networks." Universidade Federal de Viçosa, 2015. http://www.locus.ufv.br/handle/123456789/6866.

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Submitted by Amauri Alves (amauri.alves@ufv.br) on 2015-12-02T16:52:21Z No. of bitstreams: 1 texto completo.pdf: 4119749 bytes, checksum: abab366057d5b5d02a6202d32f277b7c (MD5)<br>Made available in DSpace on 2015-12-02T16:52:21Z (GMT). No. of bitstreams: 1 texto completo.pdf: 4119749 bytes, checksum: abab366057d5b5d02a6202d32f277b7c (MD5) Previous issue date: 2015-05-25<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>Recentemente, há um aumento de interesse na utilização de métodos não paramétricos, tais como redes neurais artificiais (RNA), na área de seleção genômica

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CHANDRASEKARAN, LATHA. "PREDICTING DISEASE INCIDENCE DUE TO CONTAMINATED INTRUSION IN A WATER DISTRIBUTION SYSTEM." University of Cincinnati / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1155506232.

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Bessa, Iuri Sidney. "Laboratory and field study of fatigue cracking prediction in asphalt pavements." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/3/3138/tde-15012018-160715/.

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The prediction of asphalt pavements performance in relation to their main distresses has been proposed by different researchers, by means of laboratory characterization and field data evaluation. In relation to fatigue cracking, there is no universal consensus about the laboratory testing to be performed, the damage criterion to be considered, the testing condition to be set (level and frequency of loading, and temperature), and the specimen geometry to be used. Tests performed in asphalt binders and in asphalt mixes are used to study fatigue behavior and to predict fatigue life. The character

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Kawamura, Mitsue. "A scoring system predicting acute radiation dermatitis in patients with head and neck cancer treated with intensity-modulated radiotherapy." Kyoto University, 2019. http://hdl.handle.net/2433/244519.

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Zlobec, Inti. "A predictive model of rectal tumour response to pre-operative high-dose rate endorectal brachytherapy /." Thesis, McGill University, 2007. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=103189.

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Pre-operative radiotherapy for patients with locally advanced rectal carcinoma has been shown to improve survival rates and local tumour control. The ability to identify tumours most likely to undergo a complete or partial response would improve the selection of patients for radiotherapy and potentially modify post-treatment planning. The aim of this study was to develop a multi-marker model of tumour response to pre-operative high-dose rate endorectal brachytherapy (HDREB). Immunohistochemistry (IHC) for p53, Bcl-2, VEGF, APAF-1 and EGFR was carried out on 104 pre-treatment rectal tumour biop

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Andel, Stephanie Anne. "Personality as a Predictor of Occupational Safety: Does it Really Matter?" Scholar Commons, 2015. http://scholarcommons.usf.edu/etd/5824.

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Past research demonstrates the high prevalence of occupational accidents and injuries, and therefore much work has gone into examining potential antecedents to such incidences. However, while some research has examined personality as a potential antecedent, results suggesting personality as a significant predictor of occupational safety remain inconclusive. Therefore, the purpose of the current work is to conduct a cross-sectional multi-source survey study that will take a closer look at the relationships between various personality variables and occupational safety. Essentially, the purpose o

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Melo, Gustavo da Silva Vieira de. "Measurement and prediction of sound absorption of room surfaces and contents at low frequencies." Florianópolis, SC, 2002. http://repositorio.ufsc.br/xmlui/handle/123456789/84349.

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Tese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Engenharia Mecânica.<br>Made available in DSpace on 2012-10-20T08:32:17Z (GMT). No. of bitstreams: 1 188655.pdf: 9575761 bytes, checksum: 78ad975fff9c15d8b5ba76309b3a5dd2 (MD5)<br>Na área de transmissão sonora em edificações, uma recente ênfase tem sido dada ao estudo de freqüências audíveis, abaixo de 100 Hz. Isto se deve ao aumento do número de fontes de ruído de baixa freqüência, tais como uso de aparelhos domésticos de som ou TV com a capacidade de emitir sons graves cada vez mais po

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Pitre, Kevin M. "Predicting Wind Noise Inside Porous Dome Filters for Infrasound Sensing on Mars." Thesis, University of Louisiana at Lafayette, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10244134.

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<p> The study described in this thesis aims to assess the effects of wind-generated noise on potential infrasound measurements on future Mars missions. Infrasonic sensing on Mars is being considered as a means to probe the long-scale atmospheric dynamics, thermal balance, and also to infer bolide impact statistics. In this study, a preliminary framework for predicting the principal wind noise mechanisms to the signal detected by a sensor placed inside a hemispherical porous dome on the Martian surface is developed. The method involves calculating the pressure power density spectra in the infra

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KARIMSHOUSHTARI, MILAD. "Design of Experiments for Nonlinear System Identification." Doctoral thesis, Politecnico di Torino, 2019. http://hdl.handle.net/11583/2751496.

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Sebastián, Soto Niflin Roger. "Aplicación de la termografía en el mantenimiento predictivo - DOE RUN PERÚ." Universidad Nacional de Ingeniería. Programa Cybertesis PERÚ, 2006. http://cybertesis.uni.edu.pe/uni/2006/sebastian_sn/html/index-frames.html.

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Schünke, Marco Aurélio. "Aplicação de algoritmos de classificação para análise dos fatores que influenciam na predição do fator de impacto nas redes sociais." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2015. http://hdl.handle.net/10183/134588.

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Atualmente empresas como Google e Facebook fazem parte da lista das maiores companhias do mundo. O investimento em publicidade e criação de páginas para a divulgação de anúncios e marcas, tem levado o Facebook a uma posição de destaque neste cenário. Neste contexto, o presente trabalho tem o objetivo de analisar e predizer o número de interações em notícias divulgadas em cinco páginas de fãs, que se constituem nas mais acessadas da Rede Social Facebook no Brasil. Como contribuição propõem-se determinar o fator de impacto de publicações, considerando a média de três características mencionadas,

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Chang, Wan-Yin. "The Predictive Accuracy of Conscientiousness when Responses are Dissimulated: Does Self-Consistency Matter?" Thesis, Virginia Tech, 2004. http://hdl.handle.net/10919/9960.

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The present study used a laboratory setting to explore the criterion-related validity of non-cognitive measures as related to personnel selection. The focal study investigated psychological processes resulting from situational causes of motivation to distort item responses. In particular, I investigated whether differences in the motivation to distort item responses interacted with self-consistency in the prediction of performance on a clerical task. Findings suggested that despite range restriction and the existence of faking behavior, a positive correlation between conscientiousness and perf

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Karlsson, Beppe. "Tweeting opinions : How does Twitter data stack up against the polls and betting odds?" Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-75839.

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With the rise of social media, people have gained a platform to express opinions and discuss current subjects with others. This thesis investigates whether a simple sentiment analysis — determining how positive a tweet about a given party is — can be used to predict the results of the Swedish general election and compares the results to betting odds and opinion polls. The results show that while the idea is an interesting one, and sometimes the data can point in the right direction, it is by far a reliable source to predict election outcomes.

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Roy, Janine [Verfasser], Michael [Akademischer Betreuer] Schroeder, and Tim [Akademischer Betreuer] Beißbarth. "From Correlation to Causality: Does Network Information improve Cancer Outcome Prediction? / Janine Roy. Gutachter: Michael Schroeder ; Tim Beißbarth." Dresden : Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://d-nb.info/1068447214/34.

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PALUMBO, MARK V. "COGNITIVE ABILITY, JOB KNOWLEDGE, AND STEREOTYPE THREAT: WHEN DOES ADVERSE IMPACT RESULT?" Wright State University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=wright1187103730.

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Hernandez, Miriam B. "Predicting kindergarten reading outcomes from initial language and literacy skills does dialect density matter? /." Tallahassee, Florida : Florida State University, 2010. http://etd.lib.fsu.edu/theses/available/etd-04122010-234627/.

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Thesis (M.S.)--Florida State University, 2010.<br>Advisor: Stephanie Al Otaiba, Florida State University, College of Education, Dept. of Teacher Education. Title and description from dissertation home page (viewed on July 16, 2010). Document formatted into pages; contains viii, 82 pages. Includes bibliographical references (p. 79-81).

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Fucik, Markus. "Bayesian risk management : "Frequency does not make you smarter"." Phd thesis, Universität Potsdam, 2010. http://opus.kobv.de/ubp/volltexte/2011/5308/.

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Within our research group Bayesian Risk Solutions we have coined the idea of a Bayesian Risk Management (BRM). It claims (1) a more transparent and diligent data analysis as well as (2)an open-minded incorporation of human expertise in risk management. In this dissertation we formulize a framework for BRM based on the two pillars Hardcore-Bayesianism (HCB) and Softcore-Bayesianism (SCB) providing solutions for the claims above. For data analysis we favor Bayesian statistics with its Markov Chain Monte Carlo (MCMC) simulation algorithm. It provides a full illustration of data-induced uncertaint

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Kunkel, Lynn Elizabeth. "The Health Belief Model as a Predictor of Gynecological Exams: Does Sexual Orientation Matter?" PDXScholar, 1995. https://pdxscholar.library.pdx.edu/open_access_etds/4943.

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Screening and early detection are essential for the management and control of most diseases. It is important for women to practice routine health care that includes both clinical and self examinations. Today, many women go without health care due to barriers which prevent them from obtaining adequate care. The present study was designed to investigate, using the Health Belief Model, whether there is a difference between heterosexual and lesbian women in obtaining gynecological exams. Responses from 23 8 participants, 70 heterosexuals and 168 lesbians, indicated that the Health Belief Model was

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O'Neil, Madeline. "Does the School Day Matter? The Association Between Adolescent School Attachment and Involvement and Adult Criminal Behavior." PDXScholar, 2016. http://pdxscholar.library.pdx.edu/open_access_etds/2990.

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Research with adolescence demonstrates school involvement and attachment greatly influences students' outcomes and choices outside of their school environment. Many studies have addressed whether delinquent behavior while in adolescence is associated with various aspects of schooling, but there is limited research looking at the long-term effects schooling has on criminal behavior in adulthood. The purpose of this study was to assess whether students' attachment to their school or involvement in extracurricular activities at school shapes students' outcomes in adulthood--specifically their cri

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Giacomel, Felipe dos Santos. "Um método algorítmico para operações na bolsa de valores baseado em ensembles de redes neurais para modelar e prever os movimentos dos mercados de ações." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2016. http://hdl.handle.net/10183/134586.

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A previsão de séries temporais financeiras tem sido um tópico popular da literatura nos últimos anos. Contudo, embora muitos estudos de previsão de séries temporais foquem na previsão exata de valores futuros, defendemos que este tipo de previsão é de difícil aplicação em cenários reais, sendo mais vantajoso transformar este problema de previsão em um problema de classificação que indique se a série temporal irá subir ou descer no próximo período. Neste trabalho é proposto um método de compra e venda de ações baseado nas previsões feitas por dois ensembles de redes neurais adaptados para difer

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Tadano, Yara de Souza. "Simulação da dispersão dos poluentes atmosféricos para aplicação em análise de impacto." [s.n.], 2012. http://repositorio.unicamp.br/jspui/handle/REPOSIP/265147.

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Orientadores: Ricardo Augusto Mazza, Edson Tomaz<br>Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecânica<br>Made available in DSpace on 2018-08-20T02:12:17Z (GMT). No. of bitstreams: 1 Tadano_YaradeSouza_D.pdf: 4050458 bytes, checksum: f099a0b7346d14abcd5e32043374fc4b (MD5) Previous issue date: 2012<br>Resumo: Atualmente os estudos de poluição atmosférica são divididos naqueles que simulam a dispersão dos poluentes e nos que avaliam o impacto da poluição na saúde, não sendo frequentes estudos que envolvem as duas áreas. O objetivo desta pesquisa é propor um

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Cavanaugh, Jennifer A. "Does the way we measure fit matter?| Predicting behaviors and attitudes using different measures of fit." Thesis, State University of New York at Albany, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10109998.

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<p> The literature on person-organization (P-O) fit has been plagued with inconsistencies in the conceptualization, operationalization and measurement of P-O fit. Despite numerous studies examining the relationship between P-O fit and outcomes, these inconsistencies in measurement and operationalization have led to mixed findings concerning specific individual outcomes. The goal of this dissertation was to address some of these inconsistencies by examining the relationship between P-O fit, using perceived and subjective measures of fit, and attitudinal and behavioral outcomes. In addition, pre

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Danter, Elizabeth Hall. "The intention-behavior gap to what degree does Fishbein's integrated model of behavioral prediction predict whether teachers implement material learned in a professional development workshop? /." Connect to this title online, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1111698037.

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Thesis (Ph. D.)--Ohio State University, 2005.<br>Title from first page of PDF file. Document formatted into pages; contains xv, 246 p.; also includes graphics (some col.) Includes bibliographical references (p. 172-182). Available online via OhioLINK's ETD Center

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