Partitioned Graph Convolution Using Adversarial and Regression Networks for Road Travel Speed Prediction

Access to quality travel time information for roads in a road network has become increasingly important with the rising demand for real-time travel time estimation for paths within road networks. In the context of the Danish road network (DRN) dataset used in this paper, the data coverage is sparse and skewed towards arterial roads, with a coverage of 23.88% across 850,980 road segments, which makes travel time estimation difficult. Existing solutions for graph-based data processing often neglect the size of the graph, which is an apparent problem for road networks with a large amount of connected road segments. To this end, we propose a framework for predicting road segment travel speed histograms for dataless edges, based on a latent representation generated by an adversarially regularized convolutional network. We apply a partitioning algorithm to divide the graph into dense subgraphs, and then train a model for each subgraph to predict speed histograms for the nodes. The framework achieves an accuracy of 71.5% intersection and 78.5% correlation on predicting travel speed histograms using the DRN dataset. Furthermore, experiments show that partitioning the dataset into clusters increases the performance of the framework. Specifically, partitioning the road network dataset into 100 clusters, with approximately 500 road segments in each cluster, achieves a better performance than when using 10 and 20 clusters.Comment: This thesis was completed 2020-06-12 and defended 2020-06-2

Dynamics of competing heterogeneous clones in blood cancers explains multiple observations - a mathematical modeling approach

Heterogeneity of stem cell clones provide a key ingredient in altered hematopoiesis and is of main interest in the study of predisease states as well as in the development of blood cancers such as chronic myeloid leukemia (CML) and the Philadelphia-negative myeloprofilerative neoplasms (MPNs). A mathematical model based on biological mechanisms and basic cell descriptors such as proliferation rates and apoptosis rates is suggested, connecting stem cell dynamics with mature blood cells and immune mediated feedback. The flexible approach allows for arbitrary numbers of mutated stem cell clones with perturbed properties. In particular, the stem cell niche provides a competition between wild type and mutated stem cells. Hence, the stem cell niche can mediate suppression of the wild type clones and up-regulation of one or more malignant clones. The model is parameterized using clinical data to show typical disease progression in several blood cancers and the hematological and molecular response to treatment. Intriguingly, occasional oscillatory cell counts observed during treatment of CML and MPNs can be explained by heterogeneous stem cell clone dynamics. Thus, the vital heterogeneous stem cell dynamics may be inferred from mathematical modeling in synergy with clinical data to elucidate hematopoiesis, blood cancers and the outcome of interventions

Mathematical Modeling of MPNs Offers Understanding and Decision Support for Personalized Treatment

(1) Background: myeloproliferative neoplasms (MPNs) are slowly developing hematological cancers characterized by few driver mutations, with JAK2V617F being the most prevalent. (2) Methods: using mechanism-based mathematical modeling (MM) of hematopoietic stem cells, mutated hematopoietic stem cells, differentiated blood cells, and immune response along with longitudinal data from the randomized Danish DALIAH trial, we investigate the effect of the treatment of MPNs with interferon-α2 on disease progression. (3) Results: At the population level, the JAK2V617F allele burden is halved every 25 months. At the individual level, MM describes and predicts the JAK2V617F kinetics and leukocyte- and thrombocyte counts over time. The model estimates the patient-specific treatment duration, relapse time, and threshold dose for achieving a good response to treatment. (4) Conclusions: MM in concert with clinical data is an important supplement to understand and predict the disease progression and impact of interventions at the individual level

Public Sector Unions and Privatization: Evidence From the Eldercare Sector in Danish Municipalities

Privatization varies considerably among local governments. One of the oft-listed explanations is the ability of public employees to block privatization. However, many studies on the influence of public employees on privatization do not use very precise measures of the influence of public employees, they have been unable to isolate a one-way effect, and the studies have not been attentive to whether the effect varies for different market forms. In this article, we focus on privatization in Denmark through a voucher market without price competition for eldercare services. Using new data for all 98 Danish municipalities in 2012, we are able to measure the strength of the public eldercare union as well as the number of the public eldercare workers relative to the number of local voters. We find that the increased union strength measured in terms of union density at the municipal level leads to substantially and significantly less privatization through the voucher market. By comparison, the estimated relationship between the relative number of public workers and privatization does not reach statistical significance. Features of the voucher market and qualitative evidence suggest that the union influence primarily goes through a direct user channel, that is through union influence directed at the service users, whereas a minor effect possibly runs through a political channel, that is lobbying directed at the local politicians

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Denne rapporten beskriver prosessen gjennom vårt Bachelorprosjekt fra januar til juni 2021. Den gjennomgår reisen vår gjennom utforming og utvikling av Rebel Cash applikasjonen vi laget for vår kunde. Dette prosjektet var et proof of concept for vår kunde Rebel (Entra ASA), for å vise dem mulighetene de har med denne applikasjonen. Vårt mål var å produsere en betalingsapplikasjon som kunden kunne videreutvikle etter overlevering fra oss, med en in-house valuta. Vi har hatt fokus på funksjonalitet som kan vise potensialet med applikasjonen og brukervennlighet. Dette kommer frem i rapporten gjennom beskrivelse av designsprintene, brukertestene og forankring i forskning