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Sound travels faster and further in water than in air while electromagnetic radiation, among it visible light, attenuates fast. Marine animals have adapted to use sound in foraging, predator avoidance, orientation and communication with conspecifics. The underwater soundscape of the Baltic Sea remains largely undiscovered. The area is a unique acoustic environment due to its variant hydrography, broken coastline, shallowness, low salinity and the resulting strong stratifications. The harbor porpoise (Phocoena phocoena) is the only cetacean inhabiting the area, and its Baltic Sea subpopulation is critically endangered. This work is based on first sound pressure measurements of BIAS (Baltic Sea Information on the Acoustic Soundscape) -project by Finnish Environment Institute and other project participants. Measured sound pressure levels are compared to weather and shipping observations to collect information about the contributions of natural and anthropogenic sound sources to underwater sound pressure levels in the Baltic Sea. In addition porpoise observations collected at the Universities of Southern Denmark and Århus are compared to measured sound pressure levels and shipping data to examine if increased noise levels or increased shipping activity have an impact on harbor porpoise echolocation activity. The results show that at the Gulf of Finland both weather and shipping drive the levels of ambient noise at low frequencies (63 and 125 Hz third-octave bands). However the sound pressure levels caused by ships near the stations (up to 5 km) always exceeded all natural variation. Increased sound pressure levels and ship proximity seemed to have an impact on porpoise activity at the area. When a ship was very close (2 km), the registrations of porpoise echolocation clicks decreased with decreasing proximity to ship. On the other hand during spring months an increase in porpoise echolocation was recorded in relation to increased sound pressure levels, which might indicate the porpoises compensating to increased background noise by echolocating more frequently or loudly.

Oil spills in aquatic environments are devastating disasters with both biological and economic impacts. Fish populations are among the many subjects of these impacts. In literature, there are numerous assessments of oil spill impacts on fish populations. From all applied research methods, the focus of this thesis is on Bayesian methods. In prior research, several Bayesian models have been developed for assessing oil spill impacts on fish populations. These models, however, have focused on the assessment of impacts from past spills. They have not been used for predicting impacts of possible future oil spills. Furthermore, the models have not utilized data from laboratory studies. Some examples can be found of models assessing economic impacts of oil spills on fish populations however, none of them assess the economic impacts that follow from decreases in biomass. The aim of this thesis is to develop a Bayesian bioeconomic prediction model, which would be able to predict oil spill impacts on Baltic Sea main basin herring population, and the consequential economic impacts on fishermen. The idea is to predict the impacts of several hypothetical oil spill scenarios. As a result of this thesis, a bioeconomic prediction model was developed, which can predict both biological and economic impacts of oil spills on Baltic Sea main basin herring through additional oil induced mortality of herring eggs. The model can be applied to other fish populations in other regions as well. The model utilizes laboratory studies for assessing population level impacts. The model can be used for both assessing risks of the impacts of possible future oil spills, and for decision analysis after a spill has already occurred. Furthermore, the model can be used for assessing unknown aspects of past oil spills. The economic predictions can be used, for example, to estimate the compensations that could possibly be paid to fishermen. In the future, the prediction model should be developed further, especially regarding its stock-recruitment relationship assumptions. In addition, the model’s assumptions regarding the calculation of oil induced additional mortality and the economic impacts, should be expanded.

Innovation in food packaging interlinks many sustainability challenges ranging from food loss and waste through the value chains, to resource extraction and growing amounts of plastic waste globally. Food packaging innovations arising from regulation often focus on material waste and ignore other facets of sustainability such as food loss and waste. Simultaneously, conventional notions of innovations are focused on firm growth and competitiveness. This study investigates the perceptions of sustainability in food packaging among expert actors in Finland. Moreover, it examines how notions of Responsible Research and Innovation (RRI) are reflected in the research and development processes in the field. Here, RRI is understood as a framework for examining the role of socio-ethical considerations in research and development. The study aimed to find out which packaging attributes are considered sustainable, what motivations actors in the field have, what type of obstacles exist to innovation in the field, and which actor groups are perceived to be responsible for accelerating the food packaging transition towards sustainability. Semi-structured expert interviews were conducted with 14 participants, and the interview data were analyzed using qualitative content analysis (QCA). The results show that perceptions of sustainability in food packaging vary across the field. However, reducing food waste and loss was considered the most important facet of sustainability in food packaging. Actors in the field are motivated by personal reasons and the anticipated profitability of sustainable innovations. However, innovations in the field are slowed down because of regulatory issues, food safety requirements, unpredictable future changes, and technological lock-ins. Finally, the results of this study indicate that actors in the sector believe the Finnish government and brand owners in the food and beverage industries should be responsible for driving innovation towards improved sustainability. However, the qualitative approach taken here limits the generalizability of the results. The results suggest an ongoing narrative shift in innovation towards greater inclusion of social and ethical considerations in the research and development process.

The need to develop and expand urban areas is increasing in most countries, but urbanization also increases the threat for global biodiversity. Some cities have acknowledged this challenge and formed strategies and action plans for biodiversity preservation. How can we ensure that such strategies are realized in city planning? Negotiations are a crucial part of urban planning, and therefore can be a leverage point of intervention to effectively implement strategies to pro-tect biodiversity. However, little is known about the dynamics of the actual negotiation process in city planning. I applied a game theoretic approach to study how information availability influences the suc-cess and efficiency of negotiations. A role-playing game was used to simulate a negotiation on specific measures to preserve biodiversity in a residential building project. Eleven urban devel-opment specialists played the game with different sets of information. In addition to the direct outcomes of the negotiation, I analysed the post hoc discussion and arguments used to gain in-sights into perceptions of biodiversity-related negotiations in urban planning. Results indicate that information availability can increase the efficiency of negotiations. Partici-pants favour principled and integrative negotiation, but incomplete information seems to push them to take a more positional stance. The post hoc discussion also reveals some issues rele-vant to the design of urban planning process for biodiversity. The overall results suggest that a simple game-theoretic framework, implemented in (a) game-like simulation with quasi-experimental control and (b) qualitative analysis of discussions, holds potential for both under-standing (i) how decision makers frame and resolve the negotiation with conflicting interests and (ii) how to design efficient administrative processes taking into account not only the partic-ipants’ preferences but also wider public interests, such as biodiversity preservation.

Pohjoismaissa syntypaikkalajitellun biojätteen kompostointi suurissa kompostointilaitoksissa on yleistynyt merkittävästi 2000-luvun aikana. Viime vuosina biojätteiden ja muiden orgaanisten jätteiden käsittelyssä on alettu suosimaan yhä enemmän mädätysprosessia sekä mädätyksen ja kompostoinnin yhdistävää osavirtamädätysprosessia. Mädätysprosessin avulla orgaanisten jätteiden sisältämästä energiasta pystytään tuottamaan biokaasua ja siitä edelleen uusiutuvaa energiaa. Tämän tutkimuksen lähtökohtana oli tarkastella biohiilen lisäyksen vaikutuksia kompostointiprosessiin, jossa yhdistyvät mädätys ja kompostointi. Aiempien tutkimusten perusteella biohiilen lisäyksellä on todettu olevan positiivisia vaikutuksia erilaisten orgaanisten jätteiden kompostointiprosessiin. Aiemmat tutkimukset on suurimmaksi osaksi tehty pienemmässä mittakaavassa ja ne ovat keskittyneet enemmän maatalousjätteiden kompostointiin. Tämän tutkimuksen tarkoituksena oli selvittää, voidaanko verrattain pienellä biohiilen lisäyksellä nopeuttaa orgaanisen aineksen hajoamista sekä parantaa typen pidättymistä kompostimassassa erilliskerätyn biojätteen osavirtamädätysprosessin kompostointivaiheessa. Tutkimuksen kokeellinen osuus koostui laboratoriomittakaavan kompostointikokeesta sekä laitosmittakaavan kompostointikokeesta Ämmässuon jätteenkäsittelykeskuksessa. Laboratoriomittakaavan kokeiden tarkoituksena oli saada tietoa eri biohiilipitoisuuksien vaikutuksesta kompostointiprosessiin ja toistomäärien kautta saada tuloksille tieteellistä pätevyyttä. Laboratoriokokeissa saatuja tuloksia sovellettiin laitosmittakaavan kokeissa. Tuloksia pyritään tarkastelemaan mikrobiologisen prosessin lisäksi osana jätehuoltoa ja sen kehittämistä. Tulosten perusteella biohiilen lisäyksellä oli myönteinen vaikutus kompostointiprosessiin osavirtamädätysprosessin kompostointivaiheessa. Laboratoriokokeissa biohiilen lisäyksellä oli merkitsevä vaikutus orgaanisen aineksen hajoamiseen ja siten kompostimassan mikrobiaktiivisuuteen. Vaikka laitosmittakaavan kokeessa biohiilen lisäys ei vaikuttanut orgaanisen aineksen hajoamiseen tilastollisesti merkitsevästi, voidaan kokonaisuutena arvioida, että biohiililisäsi kompostien mikrobiaktiivisuutta. Biohiilellä havaittiin merkitsevä vaikutus kompostien stabiloitumisnopeuteen ja ammoniumtypen pidättymiseen kokeen lopputilanteessa. Verrattain pienet biohiilipitoisuudet eivät vaikuttaneet haihtuneen ammoniakin määrään eivätkä kokonaistyppihäviöön kompostoinnin alkuvaiheessa. Biohiilikompostien stabiloitumisnopeudella ja mikrobiaktiivisuuden lisääntymisellä on kompostoinnin ympäristövaikutusten vähentämisen lisäksi kompostointilaitoksille myös taloudellinen merkitys, koska niiden avulla pystytään mahdollisesti säästämään tuotantokustannuksissa sekä säästämään kompostien jälkikypsytykseen tarvittavaa tilaa tai vastaavasti lisäämään kompostointilaitosten kapasiteettia. Tulevaisuudessa biohiili on teoriassa mahdollista saada osaksi orgaanisten jätteiden käsittelykokonaisuutta. Jäteperäisten biohiilten käytöllä voi tulevaisuudessa olla mahdollista parantaa resurssien kestävää käyttöä ja alueellisia kierrätysmääriä.

Tiivistelmä – Referat – Abstract Proteins differ from one another on the basis of their amino acid sequences, display a different spatial shape and structure, and have different functions. The linear order of amino acid residues are chained to one another by peptide bond. The ß-strands and α-helices can be considered as the key components present in the three-dimensional structure of a protein. There are several bioinformatic methods involved to predict structure and function of protein such as searching sequencing similarities, multiple sequence alignment, characterisation of domains, solvent accessibility, and modelling three-dimensional structures at atomic level. The main focus of this study was to build the three-dimensional structure models and then compare the homologues regions in different models. 36 reviewed capsid L1 and L2 protein sequences of human papilloma virus subtypes were selected based on 65% sequences similarity from Universal Protein database. We utilised several computational algorithms in this study for the analysis of protein sequences for the evolutionary relationship and modelled the three-dimensional structures of capsid L1 and L2 proteins of oncogenic human papilloma virus subtypes. For domains analysis in the protein sequences, we used Simple Modular Architecture Research Tool algorithms and predicted secondary structure of protein using Protein Prediction Protein 4.0 tool. I-TASSER Iterative threading assembly refinement algorithms were utilised for three-dimensional structure modelling of capsid L1 and L2 proteins. We found out a different evolutionary relationship and conserved residues in capsid L1 protein of human papilloma virus and L2 protein of human papilloma virus, and their different level of effect on the protein structure. We also predicted three-dimensional structure models for capsid L2 protein of human papilloma virus subtypes 41 and 13 which are folded completely differently from the rest L2 proteins. X-ray crystallography study is suggested for the determination of three-dimensional structure of L2 protein for understanding their contribution in viral assembly process.

There are no comprehensive research data on Finnish matriculation examinations in biology. This type of data is needed, because evaluation guides what and how students learn and what they consider important. Genetics is one the most challenging topics in biology, and in the opinion of teachers it will continue to be an important discipline in the future. The importance of studying genetics can also be justified with philosophical, social and health reasons. This is why the present study focused on the genetics component of the matriculation exam in biology. The aim of the study was to provide information on the challenges and contents of past matriculation examinations in biology and how they have aligned with high school curricula. The results of the study could be used to evaluate this alignment in relation to genetics questions in the biology exam, and could help in designing new matriculation examinations that align better with the existing high or new high school curricula and their aims. The research questions were: 1. What knowledge and cognitive dimensions are measured with the genetics-related questions in matriculation examinations in biology? 2. How do knowledge and cognitive dimensions in genetics-related questions in biology matriculation examinations relate to high school curriculum aims? The data comprised matriculation examination papers in biology from spring 2011 to autumn 2020 (20 exams) and the aims of the Finnish national High School Curriculum in 2003 and in 2015. Qualitative content analysis was performed on the knowledge dimensions (factual, conceptual or procedural knowledge) and the cognitive process dimensions (remembering, understanding, applying, analyzing, evaluating or creating). The basis of this qualitative content analysis was Bloom’s revised taxonomy. The analysis was conducted on genetics-related matriculation examination questions and on the aims of the high school curriculum. The test questions and the aims were compared to determine whether they aligned. Classified questions were divided into two subcategories depending on which high school curricula they corresponded to. Genetics-related questions from spring 2011 to autumn 2017 corresponded to the High School Curriculum in 2003 and questions from spring 2018 to autumn 2020 corresponded to the High School Curriculum in 2015. Questions from the previous period were divided into all knowledge dimensions. All questions, except one, incorporated lower cognitive dimensions (remembering, understanding and applying). The main combined class was understanding conceptual knowledge. Questions from the later time period were also divided into all knowledge dimensions. Mostly lower cognitive dimensions were incorporated into the questions, but a few subquestions addressed higher cognitive dimensions (analyzing, evaluating and creating). The main combined class was understanding conceptual knowledge. All the aims were classified into conceptual or procedural knowledge classes. The aims were also divided between all cognitive dimensions, except remembering. Using constructive alignment as the basis for matching aims with questions, two aims in the High School Curriculum of 2003 and six aims in the High School Curriculum of 2015 had no questions that matched them. These aims mostly measured the cognitive dimension of creating. Several aims appeared to incorporate higher cognitive dimensions, but the questions were less well aligned with the aims than with those incorporating lower cognitive dimensions. The results concerning knowledge and cognitive dimensions were mostly as expected. Lower cognitive dimensions were highlighted in genetics-related matriculation examination questions in biology. The challenge of interpretation brought ambiguity to the aims and cumulative levels of cognitive dimensions when aligning questions with aims, as some of the questions aligned with aims did not assess such high cognitive dimensions as would be expected based on the aims, but were nonetheless aligned with them. Furthermore, there may be several reasons behind the absence of the creating dimension in matriculation examination questions. The alignment of questions and aims would be important to consider in the future, because evaluation has a considerable impact on studying.

Effective population coding is dependent on connectivity, active and passive postsynaptic membrane parameters but how it relates to information transfer and information representation in the brain is still poorly understood. Recently, Brendel et al. (2020) showed how spiking neuronal networks can efficiently represent a noise input signal. This "D_Model” successfully showed that spiking neural networks can recreate input signal representations and how these networks can be resilient to the loss of neurons. However, this model has multiple unphysiological characteristics, such as instantaneous firing and the lack of units related to physical values. The aim of the present study is to build upon the D_Model to add biological accuracy to it and study how information transfer is affected by biophysical parameters. We first modified the D_Model in the MATLAB environment to allow for the simultaneous firing of the neurons. Using our CxSystem2 simulator in a Python environment (Andalibi et al. 2019), we built a network replicating the one used in the D_Model. We quantified the information transfer of Leaky Integrate-and-Fire units that had identical physiological values for both inhibitory and excitatory units (Comrade class) as well as more biologically accurate physiological values (Bacon class). We used various information transfer metrics such as granger causality, transfer entropy, and reconstruction error to quantify the information transfer of the network. We examined the behaviour of the network while altering the values of the capacitance, synaptic delay, equilibrium potential, leak conductance, reset potential, and voltage threshold. Broad parameter searches showed that no single set of biophysical parameters maximised all information transfer metrics, but some ranges fully blocked information transfer by either saturating or stopping neuronal firing. This suggests theoretical boundaries on the possible electrophysiological values neurons can have. From narrow searches within electrophysiological ranges, we conclude that there is no single optimal set of physiological values for information transfer. We hypothesise that different neuronal types may specialise in transferring different aspects of information such as accuracy, efficiency, or to act as frequency filters.

Uterine leiomyomas are benign tumors originating in the smooth muscle cells of the uterine wall. Leiomyomas represent one of the most common tumor types in women affecting up to 80% of pre-menopausal women. Besides having extensive implications on women´s health through the numerous symptoms they cause, leiomyomas are a cause of remarkable financial burden worldwide. Bivalent promoters are defined by the co-occurrence of two histone modifications with opposite functions: trimethylation of lysine 4 on histone 3 (H3K4me3) and trimethylation of lysine 27 on histone 3 (H3K27me3). H3K4me3 is associated with promoters of actively expressed genes, whereas H3K27me3 is frequently found at promoters of silenced genes. The genes controlled by the bivalent promoters are reversibly silenced or expressed at low levels and remain poised for fast activation or full repression as a response to external cues. Bivalent chromatin is gaining more and more importance as new roles are identified in tumorigenesis and cell differentiation. Despite this, the vast majority of data available was obtained from cell lines, and not from human tissue. The aim of this thesis work was to map the genomic location of bivalent promoters in uterine leiomyoma and myometrium tissue, and to characterize the functions of bivalently-controlled genes in differentiated tissue. This would provide novel information about bivalent promoters’ distribution in human tissues and also their potential role in myomagenesis. Chromatin immunoprecipitation followed by sequencing (ChIP-seq) against H3K4me3 and H3K27me3 was performed on fresh frozen tissue samples of uterine leiomyomas and corresponding myometrium. A promoter was defined as bivalent, if it showed overlap between H3K4me3 and H3K27me3 peaks within a 2 kb region of a gene’s transcription start site in all samples. Altogether 951 bivalent promoters were found in myometrium and leiomyoma. Strikingly, only 231 (24.3%) promoters were present in both tissue types, most bivalent promoters being tissue-specific. These findings indicated bivalent promoters regulating a substantial number of genes also in differentiated tissue and the presence of extensive alterations in bivalent promoter distribution during myomagenesis. Gene ontology analyses of the bivalently-controlled genes in myometrium revealed the highest score for developmental processes. Instead, for leiomyomas, the highest enrichment was detected in stem cell fate specification-related processes. The data presented in this thesis suggests that bivalent chromatin plays an important role during myomagenesis, as it undergoes a significant reorganization during the process. Future experiments will provide novel insights about the role for these changes, i.e.: if they underlie the process.

Tiivistelmä - Referat - Abstract Background. Platelets are known to contain ample amounts of brain derived neurotrophic factor. Previous spectrophotometric studies carried out in Pia Siljander’s lab have shown that BDNF is secreted from activated platelets packed in extracellular vesicles. For this project we wanted to 1) confirm that BDNF really is secreted in extracellular vesicles (EVs)2) find out how the choice of agonist affected the BDNF cargo of the platelet derived EVs, and 3) find out if the BDNF is packed into EVs of certain densities rather than others. Methods. The platelets were isolated from platelet concentrates by size exclusion chromatography. The isolated platelets were then activated by thrombin and collagen co-stimulation (TC) and by Ca2+ionophore, respectively. The platelet activation produced extracellular vesicles (PEVs) which were isolated by differential ultracentrifugation. The isolated PEVs were then analysed by flow cytometry, ELISA and Western blot for EV typical membrane surface proteins and for their BDNF content. As we were interested finding out whether BDNF is enriched in PEVs to certain populations, density gradient centrifugation was performed. These samples were also analysed by Western blot and by ELISA. The size distribution and concentration of PEVs in all samples was analysed by Nanoparticle tracking analysis. Results and conclusions. This study confirmed that platelets secrete PEVs as a response to agonists. PEVs with higher BDNF concentration were produced using TC co-stimulation as compared to PEVs derived from the Ca2+ionophore. The result implies that BDNF is actively packed into PEVs for instance as a thrombogenic response. Based on the density gradient results it seems that BDNF was packed into certain population of PEVs with a density between 1.112 g ml-1 and 1.132 g ml-1 corresponding to a particle diameter of less than 500 nm. The finding that BDNF is actively packed into TC co-stimulation derived PEVs of a certain population is interesting from a theragnostic point of view, since EVs are likely to be key players in the development of new cell-based therapies. Had there been more time, it would have been interesting to optimize both the density gradient protocol and the ELISA analysis. This optimization of methods would make the process more efficient, less prone to sample loss, not to mention that there would be less intra-assay variation.