Searched for: subject%3A%22survivability%22
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Brouwer, Niek (author)
The tumor composition of breast cancer determines how tumors behave. Yet, there is a limited understanding of the arrangement of tumor cells in relation to cells in the tumor microenvironment (TME). In this research, we have characterized distance relationships between 324 cell-type pairs in 749 tissue samples of the Molecular Taxonomy of Breast...
master thesis 2023
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van Vliet, Christian (author)
In problems with missing data, the data are often considered to be missing at random. This assumption can not be checked from the data. We need to assess the sensitivity of study conclusions to violations of non-identifiable assumptions. This thesis performs Bayesian sensitivity analysis for a missing data model with life time outcomes and...
master thesis 2023
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Benjert, Zylan (author)
We consider the problem of random walks moving around on a lattice Zd with an initial Poisson distribution of traps. We consider both static and moving traps. In the static case, we prove that the survival time has a decay of e−c t d /d +2 based on a heuristic argument. In the moving case we aim to prove the sub-exponential...
bachelor thesis 2023
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Huisman, Tim (author)
Survival analysis revolves around studying and predicting the time it takes for a particular event to occur. In clinical trials on terminal illnesses, this is usually the time from the diagnosis of a patient until their death. Estimating the odds of survival of a new patient can be done by analyzing survival data from past patients in similar...
bachelor thesis 2023
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Mauro, F. (author), Vassalos, Dracos (author), Paterson, Donald (author), Boulougouris, Evangelos (author)
Theory and application of damage stability followed over the years two dissociated paths: static assessments and dynamic simulations. The first approach, being easy to apply and understand, has been preferred by ship designers and regulators; the second, more advanced and first-principle oriented, has been mainly reserved for research or high...
journal article 2023
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Tepeli, Y.I. (author), Seale, C.F. (author), P. Gonçalves, Joana (author)
Motivation<br/><br/>Anti-cancer therapies based on synthetic lethality (SL) exploit tumour vulnerabilities for treatment with reduced side effects, by targeting a gene that is jointly essential with another whose function is lost. Computational prediction is key to expedite SL screening, yet existing methods are vulnerable to prevalent selection...
journal article 2023
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Daulat, Shamsuddin (author), Rokstad, Marius Møller (author), Bruaset, Stian (author), Langeveld, J.G. (author), Tscheikner-Gratl, F. (author)
Small utilities often lack the required amount of data to train machine learning-based models to predict pipe failures, and hence are unable to harness the possibilities and predictive power of machine learning. This study evaluates the generalizability and transferability of a machine learning model to see if small utilities can benefit from...
journal article 2023
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Zeng, Cheng (author), Huang, Jinsong (author), Wang, H. (author), Xie, Jiawei (author), Zhang, Yuting (author)
Reliable estimation of rail useful lifetime can provide valuable information for predictive maintenance in railway systems. However, in most cases, lifetime data is incomplete because not all pieces of rail experience failure by the end of the study horizon, a problem known as censoring. Ignoring or otherwise mistreating the censored cases...
journal article 2023
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Mauro, F. (author), Vassalos, Dracos (author)
The in-force probabilistic framework for passenger ship survivability assessment covers collision hazards. The framework primarily pertains to a static approach. Nonetheless, more complex dynamic analyses usually employ the same damage definitions, adding besides the breach characteristics, the environmental condition selection or, more...
journal article 2023
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Sakata, Dousatsu (author), Hirayama, Ryoichi (author), Shin, Wook Geun (author), Belli, Mauro (author), Tabocchini, Maria A. (author), Stewart, Robert D. (author), Brown, J.M.C. (author), Kyriakou, G.I. (author), Tran, Hoang N. (author)
Purpose: Track structure Monte Carlo (MC) codes have achieved successful outcomes in the quantitative investigation of radiation-induced initial DNA damage. The aim of the present study is to extend a Geant4-DNA radiobiological application by incorporating a feature allowing for the prediction of DNA rejoining kinetics and corresponding cell...
journal article 2023
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Dolan, Olivia (author)
The exponential population growth of Navi Mumbai and the Global South results in urgency for housing, quality of life and resources. Maker Housing proposes through architectural design and spatial organization an alternative mode of living in these unique urban contexts. Gaothans is a Marathi word which is derived from the words ‘Gaon’ (which...
master thesis 2022
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Manolopoulos, Ioannis (author)
This thesis’ research concerns the time-dynamics of a complex geographical network of municipalities, i.e. the Dutch Municipality Network over the period 1830-2019. By analysing 190 years of socioeconomic statistical data and applying contemporary tooling from network science and geographic information systems (GIS), the findings from this...
master thesis 2022
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Vassalos, Dracos (author), Paterson, Donald (author), Mauro, F. (author), Mujeeb-Ahmed, M. P. (author), Boulougouris, Evangelos (author)
Development of damage stability as a scientific subject, specifically in damage ship hydrodynamics and, generally, flooding risk assessment, has evolved primarily by inquisitive academics with support by people with vision and passion towards maritime safety enhancement from industry and Government, the latter in the wake of serious accidents...
journal article 2022
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Kaur, Sukhleen (author)
Survival analysis is a statistical method used to predict when an event will occur. Machine learning survival models have been used in many cancer studies. However, machine learning models may not always be interpretable. The current lack of research for explainable survival analysis for urothelial cancer prompted this study. This study offers...
master thesis 2021
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Skypala, Matea (author)
This thesis examines statistical methods to find the right timing of intrauterine insemination treatment relative to the start of the follow-up of the couples. Intrauterine insemination is a fertility treatment conducted by injecting refined sperm into a woman's uterus. Lots of research has been done on timing of steps within one IUI cycle....
master thesis 2021
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Kentrop, Daniël (author)
The construction of a dike improvement often causes a decrease in reliability during construction. Raising a dike may give rise to excess pore water pressures in the subsoil, resulting in a temporal strength decrease. Observing the survival of such a loading condition might provide information on the strength of a dike. Therefore, this research...
master thesis 2021
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van der Krogt, M.G. (author), Schweckendiek, T. (author), Kok, M. (author)
During construction of a dike, slope stability often reaches critical levels, due to the excess pore water pressures in the foundation. The loading condition during construction has similarities with the design conditions during flood loading. Not only in terms of the pore water pressures as the main driving force, but also in terms of...
journal article 2021
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Douwenga, Sieze (author), van Tatenhove-Pel, R.J. (author), Zwering, Emile (author), Bachmann, Herwig (author)
During storage and ripening of fermented foods, Lactococcus cremoris is predominantly in a non-growing state. L. cremoris can become stationary due to starvation or acidification, and its metabolism in these non-growing states affects the fermented product. Available studies on the response of L. cremoris to acid and starvation stress are...
journal article 2021
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Wang, Zili (author)
An ideal road management system requires a real-time assessment of pavement performance. But there are many root causes of the status quo that the expectation and the system have not been achieved yet. One of them is the monitoring system. In the Netherlands, the measurement is carried out once a year because of the budget and also because it is...
master thesis 2020
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Gouwens, Sigur (author)
In this study the interval censoring case 2 model combined with the Cox model is considered. The event-time distribution function is modeled nonparametrically. Two algorithms are proposed to estimate the event-time distribution function together with the Cox coefficients. Kernel smoothing is applied to the non-parametric MLE of the event-time...
master thesis 2019
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