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  • Suominen, Peppi Lotta Josefiina (2023)
    Multiple myeloma (MM) is a malignancy of antibody-secreting plasma cells in the bone marrow (BM). MM is the second most common hematological malignancy, accounting for about 14% of blood cancers. Despite the improvements in the treatment of MM, the disease remains incurable, and essentially all patients end up relapsing. Deletion of chromosome 16q, the location of tumor suppressor CYLD, occurs in 35% of MM patients. CYLD is a deubiquitinase, most recognized for its function as a negative regulator of the nuclear factor kappa B (NF-κB) pathway. The loss of CYLD is associated with disease progression and worse survival in MM, but its significance in drug response is unknown. As the loss of CYLD is common in MM, determining its effect on drug response is essential. Analysis of data gained from MM patient samples were used to study the effect of CYLD copy number status on drug response. The treatments were selected based on previous research performed by our group. The effect of homozygous deletion was most significant in inducing resistance to BMS-754807, an inhibitor of insulin-like growth factor 1 receptor. To investigate the role of loss of CYLD on drug response in vitro, cell lines with CYLD knockout (KO) were created using the clustered regularly interspaced short palindromic repeats (CRISPR) – CRISPR associated protein 9 (Cas9) technology. An established CYLD-KO cell line was treated with carfilzomib, bortezomib, dexamethasone and BMS-754807 to assess the effect of CYLD-KO. The CYLD-KO slightly increased the sensitivity to BMS-754807, but essentially no differences were detected in response to the drugs. The effect of CYLD-KO was additionally explored to NF-κB - and Wnt-pathway activation by Western blot analysis, but due to technical difficulties, the results were inconclusive. The loss of CYLD is a common genetic aberration in MM, giving a survival benefit for the malignant cells. Based on the results from patient data analysis, the loss of CYLD could promote drug resistance to BMS-754807, and the effect should be further studied with more cell lines with CYLD-KO. As the population ages, and as the median age of newly diagnosed patients is 70, the need for efficient MM therapies increases. Studying the mechanisms behind drug resistance and sensitivity is essential in the aim of improving the efficacy of MM therapy and, in the end, the overall survival of the patients.
  • Anttila, Teemu T. T. (2017)
    Industrial clusters are a worldwide phenomenon and a vital economic development strategy. The approach is defined to be an interrelationship between its participants, suppliers and related industries that produce synergy in a particular location. Clustering has become to be a crucial feature in nation’s economic development. However, the approach has not yet been studied widely in Sub-Saharan African countries and the existing number of empirical studies are limited. Therefore, this leaves a gap for an up-to-date study to investigate the possibilities of developing an efficient forest industry cluster in Angola. The purpose of the study was to critically assess and to define the potential of different wood processing industries in connection to develop an efficient forest industry cluster in the Province of Huambo. The objective was to create a comprehensive picture of the existing market situation through a field study and to develop the future concept of wood processing industries. Research methods were qualitative in the empirical part of the study and quantitative in the investment calculations. The primary data were collected through a semi-structured field interviews and observations of existing operators. Interviews were conducted in January and February 2017 to obtain knowledge about the prevailing market situation and about the existing wood product manufacturers. The data were collected with nine interviews, which were transcribed. Pictures and video clips were recorded to support the observations from the factories in the data collection. Based on the field study and observations, investment alternatives were decided and calculated to different wood processing industries. Profitability of the investments were calculated with the Net Present Value (NPV), Internal Rate of Return (IRR), Multiple of Invested Capital (MOIC) and Wood Paying Capability (WPC) at stumpage. Attention was paid to the uncertainty in the calculations with the help of sensitivity analysis. The literature review was based on the cluster theory, collective efficiency and the capital expenditure projects. As a result of this study, an investment model was developed in a shape of a cluster. The cluster model contains five different dimensions: sustainable plantation forestry, production of primary wood products, production of secondary wood products, wood residues sufficient utilization and production of sustainable energy. This study suggests that veneer peeling and sawn timber production could be selected for the primary wood production, carpentry and furniture for the secondary processing and wood residues to produce sustainable energy. The corresponded 10-year investments NPVs varied from USD 606 000 to USD 974 000 at an interest rate of 15%. The maximum IRR achieved was 31.6% and the minimum was 16.8%. The highest WPC at stumpage achieved was USD 69.8 and the lowest was USD 44.1. The MOIC ranged between 2.4 and 4.0 times the invested capital. This study suggests that the Company could develop an efficient forest industry cluster around veneer peeling with the support from other wood processing industries to the region.
  • Krause, Tina (2023)
    The use of fossil fuels is a significant contributor to greenhouse gas emissions, making the transition to zero-carbon energy systems and the improvements in energy efficiency important in climate change mitigation. The energy transition also puts the citizen in a more influential position and changes the traditional dynamics between energy producers and consumers when citizens produce their own energy. Furthermore, due to the opportunity and capacity of the demand side, the energy transition places a greater emphasis on energy planning at the local level, which requires new solutions and changes in the management of the energy system. One rising phenomenon is the potential of bottom-up developments like energy communities. Within the building sector, housing cooperatives have started to emerge as energy communities, offering a way to address the energy transition through bottom-up-driven energy actions that provide renewable energy and other benefits to the local community. This master thesis examines housing cooperatives' energy communities and their role in the energy transition. The research addresses the shared renovation project in Hepokulta, Turku, seen from the energy community perspective. Furthermore, the research highlights the importance of niche development in sustainable transition, acknowledging energy communities as socio-technical niches where development is partly embedded in renewable energy technology and partly in new practices. The concept of energy community is therefore analysed through the lens of Strategic Niche Management, which focuses on expectations, networks, and learning. This research aims to analyse how residents in Hepokulta perceive the energy community project through the niche processes and how the development of energy communities might affect urban development. Analysing the residents' perceptions provide insight into the energy community characteristics and the relationship between residents and the project development processes. Additionally, the analysis identifies matters that could be changed to improve the development. The thesis is a mixed methods research combining quantitative and qualitative data, which was collected through a survey sent to the eight housing cooperatives in Hepokulta. The research showed that residents perceive the shared project in Hepokulta as essential for the area's development. Moreover, many residents overlooked the social aspects of the development, highlighting the absence of the energy community perspective in the renovation. The findings suggest some weaknesses within the three niche processes, including the early involvement of residents and communication. Furthermore, although the residents perceived themselves as important actors and the literature emphasised the importance of the demand side in future energy systems, the research revealed that the connection between project development and the residents is still lacking. However, the analysis indicates that introducing additional actors could help the energy community develop. External assistance could, for instance, benefit the housing cooperatives by facilitating improvements in the decision-making processes, the network between actors, and the sharing of information and skills.
  • Wachirapong, Fahsinee (2023)
    The importance of topic modeling in the analysis of extensive textual data is magnified by the inefficiency of manual work due to its time-consuming nature. Data preprocessing is a critical step before feeding text data to analysis. This process ensures that irrelevant information is removed and the remaining text is suitably formatted for topic modeling. However, the absence of standard rules often leads practitioners to adopt undisclosed or poorly understood preprocessing strategies. This potentially impacts the reproducibility and comparability of research findings. This thesis examines text preprocessing, including lowercase conversion, non-alphabetic removal, stopword elimination, stemming, and lemmatization, and explores their influence on data quality, vocabulary size, and topic interpretation generated by the topic model. Additionally, the variations in text preprocessing sequences and their impact on the topic model's outcomes. Our examination spans 120 diverse preprocessing approaches on the Manifesto Project Dataset. The results underscore the substantial impact of preprocessing strategies on perplexity scores and prove the challenges in determining the optimal number of topics and interpreting final results. Importantly, our study raises awareness of data preprocessing in shaping the perceived themes and content in identified topics and proposes recommendations for researchers to consider before performing data preprocessing.
  • Ruuska, Ronja (2023)
    This master’s thesis includes two sections: the present summarizing report and the article manuscript. The purpose of the study is to explore the benefits of an acceptance and commitment therapy (ACT)-based intervention course to university students’ well-being, using both quantitative and qualitative methods. The COVID-19 pandemic has decreased university students’ well-being and increased their risk of burnout. The declined state of student well-being calls for measures in exploring ways of promoting student well-being and preventing study-related burnout. The intervention course aimed to increase students’ psychological flexibility and organized studying skills, as means to positively impact their well-being and studying. A total of 189 participated in the study in the spring of 2021. Students’ risk of burnout was measured pre- and post-intervention, to statistically define whether students experienced that the course impacted their risk of burnout. To explore the course benefits in depth, students’ written reflective reports post-intervention were analyzed using abductive content analysis. The results were statistically compared according to the risk of burnout group assigned pre-intervention. The results showed that the intervention course led to a positive change in students' risk of burnout. The content analysis revealed seven main categories of benefits of the course: 1. improved general well-being, 2. improved self-knowledge, 3. increased psychological flexibility, 4. improved study practices and study motivation, 5. increased self-compassion, 6. gained peer-support, and 7. improved organized studying. These benefits were experienced by students regardless of their initial risk of burnout. The study highlights the potential of ACT-based intervention courses in improving the well-being and studying skills of university students, suggesting a need for further research on burnout prevention through such measures. The prospective publication channel for the research article manuscript is Research in Higher Education by Springer.
  • Vasileiou, Zoi (2024)
    Objectives: The current societal challenges together with the rapid development of Artificial Intelligence (AI) highlight the need to prioritise children’s social and emotional learning SEL skills and well-being. We need to equip them with the tools they need to navigate the complexities of the modern world. This thesis has two objectives. First, it conducts an extensive literature review on SEL and Positive Education, analysing the theoretical background of the Pikkuli intervention—a multimethod intervention aiming to support children's social and emotional skills in their early years. Second, the study examines the different uses of the various methods of the Pikkuli multimethod tool and their influence on the efficacy of the intervention. In this research, I aim to investigate children's prosocial behaviours and internalising problems, building upon the existing knowledge from our recent publication Martikainen et al. (2023). This study contributes to the growing body of literature on SEL interventions in early childhood education, providing insights into the potential of multimethod tools like Pikkuli intervention to support children’s SEL skills. Methods: The study was conducted in five different early childhood education and care (ECEC) groups across two municipalities in Finland, and our sample included 60 children (Mean age= 77 months, SD= 4,4, 28 boys,32 girls). Data were collected using the strengths and difficulties questionnaires (SDQ) and intervention implementation diaries, which the ECEC group educators filled out. To analyse the intervention implementation diaries, a qualitative thematic analysis was conducted to identify the different intervention methods used and their frequency during the intervention. Next, a statistical analysis was performed using SPSS to study the difference in prosocial behaviours and internalising problems in each ECEC group before and after the intervention. Results and conclusions: Inspired by the literature review and the defined research gap in a common framework for SEL interventions supported by Positive Education, I present an integrated framework that can be utilised in future research. In regards to the research questions, the results indicate that the use of various methods does not significantly impact the effectiveness of the intervention, and the preference for the use of methods varied among the ECEC groups. However, there was no statistically significant difference among the ECEC groups. Overall, the findings of this study can be utilised to develop future educational materials and interventions that support the development of essential SEL skills and well-being to help children thrive in their lives. The current study highlights the importance of incorporating social and emotional learning (SEL) and Positive Education into early childhood education programmes. Although the study complements the growing body of literature on SEL interventions in ECEC and provides insights into the potential of multimethod tools, future studies are necessary to understand the intervention's long-lasting effects and impact on larger sample sizes.
  • Nurminen, Marisa (2024)
    Highly skilled migrants are an exception in otherwise tightening immigration policies in Europe, as they are welcomed and competed by most countries due to aspired effects to competitiveness and economic growth of countries. Meanwhile, the effects to shrinking and ageing population underline the need for immigration. However, policies to retain highly skilled migrants seem to lack concrete measures, and research regarding integration of highly skilled migrants seem to focus on their labor market and workplace integration as workforce and economic advantage, rather than on their integration as individuals with need to feel a sense of belonging to other parts of society, as well. Therefore, the objective of this master’s thesis is to increase the understanding of highly skilled migrants’ perceptions and experiences of the process of social integration, as well as the factors influencing to them. The theoretical and conceptual framework of this thesis is constructed around two key concepts: highly skilled migrant refers to a migrant with a tertiary education degree and specific skills, while the process of social integration is defined in this thesis as a dimension of the process of integration, which refers to the sense of belonging of the migrant, as well as to the role of society in accepting the migrant. The regional context of this thesis is Helsinki metropolitan area in Finland due to its large number of foreigners and the importance of the information and communication technology sector in the area. In order to achieve the objective of this thesis, four highly skilled migrants working in the ICT sector and living in Helsinki metropolitan area were interviewed and requested to write diaries. The gathered research material was then analyzed by applying thematic analysis. This thesis indicates that highly skilled migrants perceive social integration as a subjective process, which they experience mainly as their own responsibility. The process is, however, influenced by the attitudes, expectations and atmosphere of different levels of the society. The experiences of highly skilled migrants indicate that they are welcomed especially because of their social status as highly skilled, as the negative experiences seemed to be mainly related to their foreignness. The sense of belonging was also observed to be influenced positively by having a citizenship of a European country. Connections with Finnish people and cultural context particularly have a strong impact on the sense of belonging to society, and studies in Finland prior to working were perceived as having a positive impact to that. On the other hand, creating connections and relationships with Finns was perceived as difficult, especially due to challenges in getting to know Finns and to learn Finnish language. Although this thesis indicates that workplace can play a significant role in the process of social integration, work is perceived as only one part of life, and therefore, further examination of other dimensions of integration regarding highly skilled migrants is needed.
  • Nowlan, Kirsten Helene Anna-Marie (2020)
    Mucosal associated invariant T (MAIT) cells are a fairly recently described population of innate-like T cells. In humans, MAIT cells represent an exceptionally abundant population in the blood, where they account for 1–10% of all T cells. However, compared to conventional T cells, which can display an almost unlimited T cell receptor (TCR) repertoire, the specificities of MAIT cell TCRs are limited. This evolutionarily conserved subset displays a semi-invariant TCR which recognises riboflavin metabolites, produced by a wide range of bacteria and fungi, and presented on the major histocompatibility complex (MHC)-class I related (MR1) molecule. The function and significance of MAIT cells in health and disease have only started to be unravelled, and it is becoming increasingly clear that MAIT cells are also modulated in non-microbial diseases. Interestingly, MAIT cells have been shown to exhibit a relatively high expression of the transcription factor, Helios, compared to most other T cell subsets. The function of this translational activator and repressor, encoded by the gene IKZF2, in the MAIT cell population remains obscure. This study focused on the functional role Helios may play in regulating the activation of MAIT cells. Thus, by using siRNA to silence Helios expression, and flow cytometry to analyse any potential alterations in MAIT cell activation markers, we aimed to be able to characterise the kinetics and functional role of Helios in peripheral MAIT cells of healthy individuals. Here, we clearly established a striking upregulation of Helios in MAIT cells following 24 hours of stimulation. Moreover, we were able to achieve a >50% knockdown of Helios at the protein level, in this subset of T cells. Nevertheless, no significant difference in any of the activation markers we investigated was present between the MAIT cells with reduced Helios expression and their controls. This could, however, of occurred as a result of the toxicity that the transfection had on the functionally of the T cells. From these results, it is difficult to conclude any clear role for Helios in the activation of MAIT cells, and consequently, further research needs to be performed before any clear conclusions can be drawn.
  • Luostarinen, Marika (2022)
    This master’s thesis focuses on exploring the impact of basic income experiments and pilots in the Global North on the social dimension of well-being and their implications for families. The background to this research is that basic income has a definition but often basic income experiments do not fully fulfil this definition. Studies indicate that a good economic situation has a positive effect on well-being. Studies also suggest that social relationships, social activities, a sense of belonging, and good interpersonal relationships can increase well-being. By supporting families, society supports individuals and the people close to them. Supporting parents in particular often has a direct impact on the well-being of their children. However, previous studies have focused more on the effects of basic income on employment. The aim is to gain a deeper understanding of the impact of basic income experiments on the social dimension of well-being and the impact on families. Previous research on the effects of poverty on the well-being of families and individuals through social relationships and a sense of belonging serve as a frame of reference for this thesis. The research questions were: What are the results of basic income experiments in the Global North regarding the social dimension of well-being? Based on these results, what kind of problems could basic income address? News articles from the Basic Income Earth Network website (BIEN, https://basicincome.org/news/) from January 9, 2014 to May 31, 2022 (n=2250) are used as the data for this thesis. The methods of the thesis were web scraping and a scoping review. The material of the thesis consisted of the analysis of the results of ten different experiments. Therefore, the final results from the experiments were collected through a scoping review of ten reports for more in-depth analysis (n=10). The results of the thesis indicated that basic income helped those who participated in basic income experiments to deepen their social relationships, improved their sense of belonging, relieved stress, and had a positive effect on family relationships. However, the results also suggested that well-being may be a subjective experience and many factors may have influenced these outcomes. In addition, the results showed that the effects on individuals as well as families were positive and similar, but there were also differences. Future research could focus on a more in-depth study of the effects of the basic income experiment on social well-being and sense of belonging. In addition, the long-term effects should be examined, in particular the impact of basic income on the increased risks of poverty over the course of life and at different stages of life.
  • Heinonen, Ava (2020)
    The design of instructional material affects learning from it. Abstraction, or limiting details and presenting difficult concepts by linking them with familiar objects, can limit the burden to the working memory and make learning easier. The presence of visualizations and the level to which students can interact with them and modify them also referred to as engagement, can promote information processing. This thesis presents the results of a study using a 2x3 experimental design with abstraction level (high abstraction, low abstraction) and engagement level (no viewing, viewing, presenting) as the factors. The study consisted of two experiments with different topics: hash tables and multidimensional arrays. We analyzed the effect of these factors on instructional efficiency and learning gain, accounting for prior knowledge, and prior cognitive load. We observed that high abstraction conditions limited study cognitive load for all participants, but were particularly beneficial for participants with some prior knowledge on the topic they studied. We also observed that higher engagement levels benefit participants with no prior knowledge on the topic they studied, but not necessarily participants with some prior knowledge. Low cognitive load in the pre-test phase makes studying easier regardless of the instructional material, as does knowledge on the topic being studied. Our results indicate that the abstractions and engagement with learning materials need to be designed with the students and their knowledge levels in mind. However, further research is needed to assess the components in different abstraction levels that affect learning outcomes and why and how cognitive load in the pre-test phase affects cognitive load throughout studying and testing.
  • Li, Tingyang (2020)
    This thesis examines the macroeconomic impact of Covid-19, constructing a DSGE model incorporating wage rigidity and consumption habit. This paper captures the characteristics of the Finnish economy, such as high wages and high consumption habits, and aims to analyze the macroeconomic impact of Covid-19 in Finland. Based on the New Keynesian DSGE model and combined with the SVAR method, focusing on the adverse effects of Covid-19 and analyzing how to mitigate its negative effects. After building the DSGE model, Bayesian estimation was performed using the parameters of Kilponen (2016) as the prior distribution, after which impulse response analysis was performed. At the same time, the effectiveness of fiscal policy and monetary policy is analyzed. The results of the empirical model support the conclusions in the theoretical model. The results show that the decline in utility due to insufficient consumption preferences significantly impacts consumption and output, causing aggregate consumption to decline and remain below steady-state levels for a long time. The level of labor supply is negatively affected by underconsumption. But the shock to consumer preference increased investment, offsetting some of the negative shock to output. Inflation and real interest rates also took a downward hit. Real interest rates first fall and then rise but remain below a stable level for a long time as the supply of capital rises when the demand for capital falls. A negative shock to technology causes aggregate consumption and aggregate output, and labor and capital goods to fall. In contrast, a fall in capital value causes Tobin's q to fall. Looking at the impact time of the impulse response, we find that the negative impact on macroeconomic variables is large and long-lasting. A positive government spending shock of one standard deviation would directly increase aggregate output, but its impact on output would be diminished. Compared with fiscal policy and monetary policy, the role of government spending is more likely to bring the economy into a stable state, and its response is more sensitive. We find that fiscal policy has a more significant impact on macroeconomic regulation; this suggests that monetary and fiscal policy need to work together in the context of high inflation and low interest rates. Fiscal policy drives economic recovery and can provide strong support for the realization of monetary policy.
  • Vauterin, Aleksis (2020)
    Many European citizens have growing concerns over climate change. This seems to go together with the debate about the impact of consumers’ personal dietary choices on climate change. Novel food protein sources are entering the European food market to replace or compensate meat protein sources. One protein food alternative are insect-based proteins. However, there is limited research as to how choices of alternative insect-based protein products may influence consumers’ carbon footprints. This study explores the potential of insect protein to reduce the carbon footprint associated with European food consumption. Three scenarios were formed to identify and describe options for reducing current levels of carbon footprints associated with the consumption of conventionally produced chicken meat. In the scenarios, soybean meal-based feeds used in conventional chicken production are replaced with insect-based feeds, and chicken products are replaced with protein food products from insects. Further, two different insect feeding sources are considered and compared to each other. A number of existing global warming potential values from a variety of Life Cycle Assessment studies focusing on chicken and insect production were collected to create a database for use in the scenario analyses. The database was utilised to assess the global warming impact of producing alternative insect protein on the carbon footprint of European food consumption. The results from the three scenarios indicate that the carbon footprint of food consumption can be reduced by replacing conventionally produced chicken meat with insect-based protein food products. However, insect-based protein products would have a positive impact on the carbon footprint only if the insects that are produced for use in feed or food are farmed with low-value side streams. Currently, the shift to an increased use of side streams in insect-based food production faces regulatory challenges in Europe. In the light of European efforts to encourage sustainable food alternatives, and considering the environmental benefits insects could offer as alternative proteins over options of conventional protein sources, there is a need for continued research on the environmental sustainability of insect eating and insect feeding, as well as the safety and regulatory issues related to the use of insect protein in food consumption.
  • Troullier, Marco (2022)
    One of the greatest challenges of our time is securing the global protein supply for the growing population in a sustainable manner. Fermentation with lactic acid bacteria has a long history of successful employment for the production of fermented foods and beverages. During this study, the ability of diverse lactic acid bacteria for fermentation and sensory improvement of leguminous and cereal protein concentrates was investigated.The main aim of this study was to overcome the sensory limitations of these plant protein ingredients by finding suitable candidates for the design of new starter cultures for their fermentation. A collection of 82 lactic acid bacteria was screened for fermentation of leguminous and cereal protein concentrates with different nutrient supplementations. Most strains required additional nutrients to adequately acidify the leguminous protein concentrate during a 24-h fermentation, while the cereal-based substrate appeared to be a more complete growth substrate. Descriptive sensory analysis also revealed differences in the aroma perceived by a panel depending on the matrix, supplementation and fermenting strain employed. Three of the strains that produced the most desirable aromas and acidified sufficiently the test matrixes were further studied. All three strains preferentially fermented glucose to lactic acid rather than any other sugar. The concentration of hexanal, one of the volatile compounds involved in grassy and beany off-flavor formation, reduced during fermentations in favor of 1-hexanol, a compound with a significantly higher odor threshold. However, only two of the cultures were able to prevent the growth of contaminating bacteria during fermentation. The results of this study can provide guidance for selecting potential starter cultures and fermentation substrate composition to improve the aroma of plant protein ingredients. Two of the selected strains especially have shown potential to be used as starter cultures for the leguminous protein concentrate. Further studies are required to optimize the performance of the selected strains in the test matrixes and to quantitatively characterize their effect on the substrates’ volatile profile, taste and antinutritional factor content
  • Rantonen, Elina (2021)
    Fibropapillomatoosi (FP) on maailmanlaajuisesti tunnettu merikilpikonnien kasvainsairaus. Se aiheuttaa merikilpikonnille solukuvaltaan hyvänlaatuisia sidekudoskasvaimia, jotka voivat johtaa normaalien elintoimintojen häiriintymiseen. Taudin syntyyn on aiemmissa tutkimuksissa luotettavasti yhdistetty alfaherpesviruksiin kuuluva Chelonid Herpesvirus 5 (CHHV-5), mutta taudin tarkkaa syntymekanismia ei tunneta, ja sen ilmentyminen vaatii myös muita, toistaiseksi tuntemattomia tekijöitä. CHHV-5:n uskotaan säilyvän merikilpikonnien elimistössä latentisti muiden herpesvirusten tapaan, ja sitä on havaittu useissa terveissä kudoksissa sekä FP:tä sairastavilla että terveillä eläimillä. CHHV-5:n tiedetään leviävän ainakin kasvaimista irtoavien infektoituneiden solujen kautta, mutta vasta-ainetasojen ja viruksen esiintyvyyden kartoitukset viittaisivat siihen, että on olemassa myös muita, toistaiseksi tuntemattomia tartuntatapoja. Aiemmissa tutkimuksissa liemikilpikonnien (Chelonia mydas) munuaisissa ja virtsassa on havaittu CHHV-5 DNA:ta, mikä voisi viitata viruseritykseen munuaisten kautta virtsaan. FP:tä havaitaan erityisesti nuorilla liemikilpikonnilla niiden kerääntyessä rannikkoalueille. Yhdysvalloissa Atlantin kaakkoisrannikolla samalla eläinryhmällä on havaittu rutiininomaisissa raadonavauksissa myös runsaasti alkuperältään tuntematonta munuaisytimen soluvälien sidekudostumista. Tämän tutkimuksen tavoitteena oli 1) kuvailla nämä sidekudostumismuutokset yhdistelemällä tautia ilmentäviltä eläimiltä kerättyä patologista, histopatologista ja epidemiologista tietoa, sekä 2) selvittää, voisivatko munuaisten sidekudostumismuutokset olla CHHV-5-tartuntaan liittyvä, aiemmin tunnistamaton kohde-elinvaurio. Opinnäytetyön kirjallisen osuuden on ohjannut Niina Airas ja johtanut Antti Sukura Helsingin yliopistossa. Tutkimuksen kokeelliset osuudet (qPCR-analyysi ja tilastollinen analyysi) on toteutettu Florida Atlantic Universityssä Harbor Branch Oceanographic Institutessa Annie Page-Karjianin johtamassa tutkimusryhmässä hänen ohjauksessaan. Työssä esitetyt histopatologiset tutkimukset on tehnyt Brian Stacy University of Floridassa. Floridan alueella kuolleen tai lopetetun nuoren liemikilpikonnan (62 yksilöä) munuaisten CHHV-5 DNA-kopiomäärät tutkittiin qPCR-menetelmällä, ja munuaisten sidekudostumismuutosten voimakkuus arvioitiin histopatologisesti asteikolla 1-3 (1 – lievä, 2 – kohtalainen, 3 – voimakas) kaksoissokeutetussa tutkimuksessa. Tulostemme perusteella sidekudostumismuutosten voimakkuus ei näyttäisi olevan sidoksissa liemikilpikonnien sukupuoleen, rantautumisaikaan tai kuntoluokkaan. Histopatologisiin muutoksiin ei liittynyt tulehdussolukertymiä tai havaittuja solunsisäisiä taudinaiheuttajia. Kaikilla suuremmilla kilpikonnilla muutokset olivat kohtalaisia tai voimakkaita, kun taas nuoremmilla lieviä tai kohtalaisia, mutta nämä erot eivät olleet tilastollisesti merkitseviä (Kruskal-Wallis, p=0,3). Vaikka 94%:lla (31/33) tutkituista eläimistä ei näkynyt lainkaan silminnähtäviä merkkejä sidekudostumisesta, mikroskooppisesti kohtalaista tai voimakasta munuaisten sidekudostumista havaittiin 90%lla (56/62) eläimistä. Kymmenellä (16%, 10/62) tutkituista eläimistä oli todettu FP, mutta vain viiden (8%, 5/62) eläimen munuaisessa havaittiin CHHV-5-DNA:ta. Näistä eläimistä neljällä oli fibropapillomatoosikasvaimia muualla kuin munuaisissa. Tulosten perusteella CHHV-5 ei vaikuttaisi olevan merkittävä etiologinen tekijä nuorten villien liemikilpikonnien munuaisytimen fibroosimuutoksissa Floridan alueella.
  • Rehana, Sajeda (2016)
    Development is a fundamental issue for many countries especially, developing nations. The media can play an important role in national development by connecting the government, people and development process. Thus, development journalism is one form of media function that emphasizes on advancement of living conditions of people by investigating and scrutinizing development plans, policies and actions of the government. This is why I decided to examine development issues in the media of developing country, Bangladesh. Specifically, my purpose was to explore how Bangladeshi journalists represent development issues in their media as notion of development journalism implies that it should focus on advancement of ordinary people. To conduct the research, I selected three most popular and influential newspapers (e-version) of Bangladesh in which one English and two other Bengali. These are: The Daily Star, Prothom Alo and Jugantor and the data regarding the development news stories were selected from January 2018 to June 2018. By applying mixed method, I carried out the quantitative and qualitative content analysis of development issues, for qualitative approach frame analysis was used. The study was based on the Modernization and Participatory theory of development communication and it explored representative nature of development news published by those newspapers in that period as well frequency of development news and themes in those papers. The findings revealed that development issues get little attention to the Bangladeshi media. Newspapers of this study published less than 3 percent development news in the time duration of January 2018 to June 2018 which showed a disappointing trend towards the practice of development journalism. The analysis also showed that among 13 development news themes, energy and infrastructure was the most published news topic followed by trade and business, education; on the contrary, gender equality and women empowerment, ethnic and minority rights, environmental sustainability, good governance and administrative reforms were the least preferable themes. Among three papers The Daily Star and Prothom Alo covered more diverse themes than that of Jugantor. In addition to those, development priorities exhibited in three newspapers overall reflected Bangladesh’s government development goals; however, discrepancies among them implied development journalism differ on the basis of each newspapers’ structural imperatives. Finally, this study examined the representative nature of development news in three newspapers of Bangladesh. The analysis revealed that journalists of Bangladeshi print media prefer unidirectional or modernization development communication approach (59%) in development journalism practice, it also showed a moderate portion (41%) of the representation of the participatory approach. This indicate they represent a combined approach of development communication approach with persuasive communication and Western-styled development model along with acknowledging the general peoples’ view although the participatory portion is not satisfactory to the expectation level of development journalism practice.
  • Ziyu, Xing (2022)
    This thesis is aimed to investigate the long-run and short-run relationship between renewable, nuclear energy consumption, economic growth and CO2 emissions in Finland. The historic development and current situations of the energy consumption, economic growth and CO2 emissions are discussed. Then Johansen cointegration test and Vector Error Correction Model (VECM) are applied in the empirical analysis to further exploit the causal relationships between the variables. There are four variable employed in this thesis: renewable energy consumption (REC), nuclear energy consumption (NUC), Gross Domestic Product (GDP) and CO2 emissions (COE). The data of the variables span from 1977 to 2020 and mainly come from official databases and reports from the Finnish government and international organizations, such as Statistics Finland, Our World in Data, World Bank, etc. The results indicate that there is the positive bidirectional long-run relationships between NUC, REC and GDP. Also, the unidirectional long-run relationships of GDP, REC, NUC with COE are estimated. The increase in GDP and NUC are estimated to increase COE in the long run, while REC is estimated to decrease COE. Furthermore, the negative short-run relationships between REC, NUC and COE are found, which shows that, in the short run, renewable and nuclear energy consumption in Finland is estimated to reduce the CO2 emissions. The findings from the thesis indicate renewable energy consumption is both economic and environmental-friendly. Nuclear energy is also good for economic growth in the long run and environment in the short run, but needs to be cautiously treated with regard to environmental protection in the long-run strategies. Also, there has been the trend of impact decoupling in Finland in the short term. However, further research is needed to test the EKC hypothesis and its turning point.
  • Mattila, Saku (2023)
    Plants are vital to all terrestrial ecosystems by providing ecosystem services through photosynthesis- derived compounds. Throughout the millennia, plant metabolism has diversified in the form of all plant secondary metabolites, ranging from metabolite groups such as terpenes to alkaloids to flavonoids. Many of these secondary metabolites are economically valued for their chemical, pharmaceutical and physical properties. The flavonoids are one of the largest groups and are known to provide competitional advantages and increase of survival of many plant species in extreme environments. One of the critical enzymes in the whole biosynthesis pathway of flavonoids is the dihydroflavonol 4- reductase (DFR). DFR regulates the formation of leucoanthocyanidins, predecessors of colourful anthocyanins. Anthocyanins are an economically significant group of molecules, especially for horticulturists and plant breeders, but also for nutritional and health scientists due to their potential health benefits. Dihydroflavonol 4-reductase is a much-studied enzyme due to its significant role in flavonoid biosynthesis and the economic interests of plant breeders and alike. Previous studies have expanded the knowledge of flavonoid biosynthesis and have identified several amino acid residues in the DFR structure affecting the substrate specificity of the enzyme and, consequently, the flower colours. However, only a single crystal structure model of the dihydroflavonol 4-reductase has been solved so far, originating from the grapevine Vitis vinifera. Although a single crystal structure can facilitate further structure-to-function studies associated with dihydroflavonol 4-reductase, further studies need to be carried out to shine a light on the functional basis of the enzyme. Therefore, this study aims to resolve petunia and gerbera dihydroflavonol 4-reductase crystal structures, expanding the knowledge of structural variations within the uncharted families of angiosperms, Solanaceae and Asteraceae. Several recombinant protein expression systems were utilised in my attempts to solve the crystal structure of the DFRs. These systems ranged from the bacterium Escherichia coli to yeast species such as Saccharomyces cerevisiae and Pichia pastoris, as well as the tobacco plant Nicotiana benthamiana. The genes encoding for Petunia wildtype DFRA, three mutants, and three Gerbera DFR variants were cloned to several expression vectors. Their presence and expression were identified using various genetic methodologies and enzymological assays. The expression of DFRs using an E. coli-based expression system was verified. However, the trials with E. coli were deemed unsuccessful due to the majority of the protein ending in inclusion bodies with no detectable activity. An alternative system using agroinfiltration of N. benthamiana was later utilised, as significant amounts were detected in the plant tissue extracts following the agrobacterial infiltration. Although the proteins were expressed in high quantities, no purification procedures have been established to provide plant tissue-extracted protein in crystallography-grade purity. With the protein supplied by a plant-based system and several small- scale purification steps, purified DFR enzymes could be utilised in crystallisation studies. Due to significant contamination by RuBisCO in the protein samples, alternative systems based on S. cerevisiae and Pichia pastoris were investigated, and a successful Pichia-based expression was established. Several sets of plasmids with variable expression systems were constructed in this study, facilitating future experiments into the dynamics and structure of dihydroflavonol 4-reductases. Ground-breaking techniques based on computational modelling were utilised to hypothesise the role of prior determined amino acid residues in enzyme catalysis and substrate recognition. Possible crystallisation-related issues originating from protein structure were approached using the same techniques, opening new windows and possibilities into determining the structure of Petunia hybrida and Gerbera hybrida dihydroflavonol 4-reductase structures using tools of protein engineering.
  • Korhonen, Keijo (2022)
    The variational quantum eigensolver (VQE) is one of the most promising proposals for a hybrid quantum-classical algorithm made to take advantage of near-term quantum computers. With the VQE it is possible to find ground state properties of various of molecules, a task which many classical algorithms have been developed for, but either become too inaccurate or too resource-intensive especially for so called strongly correlated problems. The advantage of the VQE comes in the ability of a quantum computer to represent a complex system with fewer so-called qubits than a classical computer would with bits, thus making the simulation of large molecules possible. One of the major bottlenecks for the VQE to become viable for simulating large molecules however, is the scaling of the number of measurements necessary to estimate expectation values of operators. Numerous solutions have been proposed including the use of adaptive informationally complete positive operator-valued measures (IC-POVMs) by García-Pérez et al. (2021). Adaptive IC-POVMs have shown to improve the precision of estimations of expectation values on quantum computers with better scaling in the number of measurements compared to existing methods. The use of these adaptive IC-POVMs in a VQE allows for more precise energy estimations and additional expectation value estimations of separate operators without any further overhead on the quantum computer. We show that this approach improves upon existing measurement schemes and adds a layer of flexibility, as IC-POVMs represent a form of generalized measurements. In addition to a naive implementation of using IC-POVMs as part of the energy estimations in the VQE, we propose techniques to reduce the number of measurements by adapting the number of measurements necessary for a given energy estimation or through the estimation of the operator variance for a Hamiltonian. We present results for simulations using the former technique, showing that we are able to reduce the number of measurements while retaining the improvement in the measurement precision obtained from IC-POVMs.
  • Huhtala, Niko (2021)
    This MA thesis explores the use of English on Instagram in the Finnish capital region that consists of the municipalities of Helsinki, Vantaa, Espoo and Kauniainen. Building on previous research on Virtual Linguistic Landscapes and English as a lingua franca, this thesis investigates the extent to which English is used in the study area and how different types of areas and locations differ in terms of English use in the study area. For this purpose, I use geotagged social media data and methods from the fields of natural language processing and geoinformatics. Firstly, I analyse the general linguistic make-up of the study area to understand the use of English in relation to other languages. Secondly, I analyse and compare how the use of English and Finnish are spread geographically across the Finnish capital region on Instagram and identify spatial clusters by means of spatial autocorrelation analysis. Lastly, I seek to provide further insights into the different types of locations where English, Finnish and other languages are used by using the Corine Land Cover inventory for categorising different types of locations. The results of this study show that the English language has a very strong presence as the second most used language in the Virtual Linguistic Landscape of the Finnish capital region. English is used especially often by users who use more than one language on Instagram. The spatial patterns of English use show that the language is used particularly often in the Helsinki city centre, western Helsinki and eastern Espoo and least in north-eastern Helsinki and Vantaa. English has a strong presence in essentially all the studied location types, especially in commercial and urban contexts. The relative proportions of English use are highest at airport areas and lowest in various sport and leisure facilities, where Finnish is used significantly more than any other language. In the analysis, I also include frequent observations on Finnish and other languages, which provide further insights into the rich Virtual Linguistic Landscape of the capital city region.
  • Flores, Pablo (2024)
    Objectives. This article-based master’s thesis explores the use of ChatGPT in educational settings. Previous research on human-LLM remains scarce, and most literature addressing the use of GPT in educational settings is theoretical and lacking empirical evidence. The new technological developments, however, urge for a deeper understanding of its novel dynamics for the development of efficient and safe AI-systems. Consequently, our study aims explore the use of a novel guided interaction design for modeling users’ information foraging behavior when navigating GPT-generated content and the role of Computational Thinking Skills in shaping such behavior. Methods. Conducted with nine educational researchers in a doctoral-level AIEd course, our research used editable prompt templates and keywords to structure the prompt crafting process. We modeled and analyzed participants’ interactions with ChatGPT in terms of exploration (to generate and explore various information landscapes) and exploitation (to delve deeper into a specific landscape). Additionally, we conducted the Computational Thinking Scale survey. We employed descriptive statistics to describe participants’ foraging behavior, and network analysis to explore the relationship between foraging behavior and Computational Thinking Skills. Results and conclusions. Our results suggested that Algorithmic Thinking and Creativity might encourage exploitation behavior, leaning more on AI-generated information rather than pre-defined design elements. Furthermore, including participants' interests in the interaction design seemed to foster a shared conceptual space in prompt construction. This approach encouraged the use and combination of diverse interests for content creation, as opposed to relying solely on individuals' interests. Our findings also suggested that exploitation prompts are predominantly driven by GPT-generated content. While this seems to add value to AI-generated content, it raises concerns about potential overreliance, especially in educational settings. The article, entitled ‘Exploring the Use of GPT-4 when Generating Personalized Case Scenarios for Higher Education.’, follows the guidelines of the International Journal of Artificial Intelligence in Education.