When portraying a character in a fictional world the actor is faced with many challenges. To circumvent these challenges, he must become congruent with the reality of the fictional world. In order to do so, the actor has to ‘believe’ in the circumstances of the unfolding scene and live ‘in the moment’. These external circumstances act as stimuli which the actor uses to create and consequently ‘believe’ in the environment that the character inhabits. However, the use of green screen technology in special effects limits or eliminates these stimuli and the external circumstances. Green screen is a technique used in film and television that allows the filmmaker to film an actor in combination with a green screen and then replace the ‘green’ with anything the filmmaker requires. This allows for compositing to occur and the filmed reality to be manipulated. However, this technology challenges the actor’s ‘belief’ and behaviour, thus affecting congruence with and the (photo)realism of the created fictional world. In a green screen environment the actor is challenged to imagine, experience and act in line with the circumstances of the fictional world that will replace the green screen, instead of the green environment in which he finds himself. One acting strategy that elicits imagination, action and feeling is Stanislavsky’s notion of the magic if. Accordingly, this dissertation proposes that this strategy can assist the actor in circumventing the challenges that arise when working with green screen technology. Stanislavsky developed his acting principles by observing human behaviour in an attempt to use the mind–body paradigm in circumnavigating the acting moment. The field of cognitive neuroscience has also investigated human behaviour and the mind–body paradigm and recent discoveries have increased understanding of the fields. These discoveries have validated the notion of the magic if and the components it incorporates. Yet, the discoveries surrounding the notion of the magic if and, subsequently, the increased understanding of the concept have not to date been applied to acting with green screen technology. It is therefore hypothesised that, by triangulating the challenges of ‘green screen acting’, the principles of the magic if and the knowledge gained from cognitive neuroscience, an acting strategy can be developed that will assist the actor in the green screen environment and thus create verisimilitude with the fictional world. This hypothesis has led to the theoretical development of explorations that will strengthen the skills the actor needs in order to apply the notion of the magic if; as well as an acting strategy to assist the actor when entering the green screen environment. / Dissertation (MA)--University of Pretoria, 2013. / gm2014 / Drama / Unrestricted

The studies presented here were focused on the understanding of the principles for protein sorting from the Golgi to the cell surface. As a marker protein we used Fus1p, a type I plasma membrane protein that is O-glycosylated on the extracellular domain and plays a role in cell fusion during yeast mating. Additionally, we analyzed mechanisms responsible for asymmetric distribution of Fus1p in mating cells. We demonstrated that the glycans attached to the protein act as a sorting determinant for protein transport to the cell surface. In cells lacking PMT4, encoding a mannosyltransferase involved in the initial step of O-glycosylation, Fus1p was not glycosylated and accumulated in late Golgi structures. A similar defect in exocytosis was observed when a Fus1p mutant lacking the O-glycosylated domain was expressed in wild-type cells, however, the cell surface delivery could be rescued if the 33 amino acid portion of the Fus1p ectodomain, containing 15 potentially glycosylated sites was added to the protein. It was previously well documented in epithelial cells that different types of protein glycosylation and association with lipid rafts play a role of determinants for protein delivery to the apical plasma membrane. However, otherwise the machinery responsible for cargo sorting to the apical membrane is poorly understood. Our finding that also in yeast, protein glycosylation can function as a sorting determinant provides a new possibility to investigate underlying mechanisms...

Aim of the thesis is to design and implement unique service based on the newest technologies in web apps fi eld which allows screen recording followed by P2P distribution between participating users using web browser only. Thesis deals with the analysis of modern and coming technologies which allow practical implementation of such a service. It involves obtaining access to the screen source data, its recording, transforming and transmission over the network followed by playing on the other side. Recorded videos are adapted for part by part use in a player with seeking capability. Distributed architecture for data exchange between peers using peer-to-peer connection based on hybrid P2P VoD network provides scalability of the solution. The player allows obtaining the necessary parts of the videos from the current watchers with smooth video playback experience during ongoing transmissions whilst allowing arbitrary video shifting. In consideration of early stages of development or experimental support for some of the APIs needed for this work, research into browsers' support with discussion on realistic applicability nowadays is always performed.

The major sorting station of biosynthetic material destined for the cell surface or secretion is the trans Golgi Network, TGN. This organelle sorts proteins and lipids into vesicular transport carriers that are targeted via different pathways to distinct membrane compartments of the cell. The molecular principles that operate in cargo sorting at the TGN are still not very well understood. Especially, we know very little about the sorting of lipids. It was postulated that a sorting mechanism based on clustering of lipid rafts, dynamic membrane domains enriched in sphingolipids and sterols, could be an important part of the picture. My thesis study dealt with the elucidation of the molecular sorting principles at the TGN and their exploitation for cell surface polarity in the yeast Saccharomyces cerevisiae. To this end, we conducted a genome wide screen that identified yeast mutants defective in cell surface delivery of the model cargo protein FusMid-GFP. The most striking result of this screen was that mutant strains with defects in ergosterol (the major yeast sterol) and sphingolipid biosynthesis lost sorting competence. To elucidate a direct role for sphingolipids and ergosterol in cargo sorting and secretion we sought to characterize the lipid composition of secretory vesicles. Hence, we established a vesicle purification protocol based on an immunoisolation strategy. Additionally, in collaboration with the group of A. Shevchenko, we developed a mass spectrometry methodology that allows the comprehensive and quantitative lipid analysis of subcellular organelles. Preliminary results corroborate our genetic evidence. The data show that the vesicles are enriched in sphingolipids and decreased in phosphatidylcholine indicating a role for raft clustering in cargo sorting at the TGN. The studies of cell polarity during yeast mating also unraveled a role for raft clustering. We could identify that the lipid bilayer at the tip of the mating projection was more ordered than at the plasma membrane enclosing the cell body and that this was dependent on sphingolipid synthesis. The results of my thesis suggest that in the yeast Saccharomyces cerevisiae fundamental cell biological processes such as cargo sorting and vesicle formation at the TGN as well as cell surface polarity during mating employ raft clustering mechanisms.

Purpose – As screen time per individual increases, more users of digital devices experience ocular related diseases. The purpose of this study is to gather reasons for the vast popularity Dark Mode gained in contemporary society, by investigating previous design eras. As a general lack of trend analysis within user interface design has been identified, the goal of the study is to lay the foundation for further research in the field of user interface design. Method – The study relies on a qualitative literature review. Publications related to Dark Mode, light-on-dark color schemes and digital trends were analyzed for topic-specific content that was then elaborated to give a critically viewed framework of the emerging trend. Findings – The results of our study indicate that various factors led to creation of the hyped trend, known as Dark Mode. It was first and foremost practicality of the light-on-dark color scheme that paved the way for Dark Mode. All operating systems, many apps, platforms and even websites incorporated it in their design. Being an optional feature, Dark Mode makes it more comfortable for users to use their devices outside the light hours or in environments with bad lighting conditions. With Dark Mode users get a far-reaching personalization tool, that visually changes essentially the whole OS or app. From a psychological point of view this improves user satisfaction, as humans naturally are seeking way to be in control. Being in control of own devices is undoubtedly an important aspect of it. Besides that, Dark Mode houses potential to lower energy consumption of devices and provides users with longer battery times. This, however, only applies to devices with display technology like OLED, where backlighting is at least divided into zones, that can be turned off when not in use. Devices with conventional LED displays cannot benefit from lower energy consumption. Implications – The study indicates that individuals use Dark Mode for a more satisfying user experience as they feel e.g. less eye strain with a dark themed user interface. Editing and coding software is mostly designed in a light-on-dark color scheme, as users often work for long continuous hours on screen, surrounded by dark environment. As screen time per individual increases, more users are experiencing ocular diseases. In counteraction, society demanded dark themed interfaces for operating systems, websites, and apps. As individuals were already using unofficial dark themes on different interfaces, tech companies started releasing system updates to make Dark Mode a choice. As Apple released their user interface update just in 2019, Dark Mode is still a relevant trend discussed in the industry and society. Experts indicate that Dark Mode is here to stay, as it satisfies preferences of many users and makes current OLED screens and future digital devices with appropriate display technology more sustainable. Limitations – The time frame of the study, as well as the Covid-19 pandemic greatly limited the possibilities of conducting the study. Due to the novelty of the trend, there is lack of previous research, which limited the view on the subject to only work available. Keywords – Dark Mode, dark-on-light color scheme, retro trends, user interface design, user experience, digital trends, display, screen, screen time, eye strain

Introduction: Overload injuries are common among elite cross-country skiers. Screening tests are used in sports to prevent injuries. The tests are used extensively, however, the method has low validity. The knowledge from the current study may be used when developing new screening methods. Aim: To explore elite cross-country skiers’ own experiences, desires and needs for screening tests. Method: A qualitative method with an inductive approach was used and individual semi-structed interviews were analyzed using qualitative content analysis.. Seven elite cross-country skiers at the National Sport University in Umeå were strategically selected. Consisting of six men and one woman, the median age of the skiers was 24 years old. All had performed a Functional Movement Screen (FMS) within the last three years. Results: The result consist of one main theme, namely “Strivning for avoidence of injury and increased performance”. Within this main theme there were four categories “Insufficient challenge to improve performance”, “Physical check leading to exercise adjustments“,”Athletic posture and good technique improves skiing” and “Adapting and planning their exercise”. Each of the categories have 3-4 sub-categories respectively. The result represent the skiers’ desire to remain un-injured while increasing their performance. They request more tailor made and sport specific screening tests developed for cross-country skiing. This based on careful observations and meassurements of the specific requirements of the sport. The insights from the screening test would ideally result in suggested training schedules and individualized exercises. Conclusion: Elite cross-country skiers piont out the need for objective observations and analysis methods of the physical challenges of cross-country skiing. This in order to identify performance-enhancing measures, while at the same time avoiding overload injuries. The knowledge from this study can provide future researchers the direction in which they should focus when developing new sport-specific tests. / Introduktion: Inom längdskidåkning är överbelastning den vanligaste orsaken till skada. För att undvika skador används ofta screeningtester av idrottare men det har i litteraturen dock svag validitet. Kunskapen från aktuell studie kan användas vid utvecklande av nya anpassade screeningmetoder. Syfte: Att utforska elitlängdskidåkares egna erfarenheter, önskemål och behov av screeningtester. Metod: Metoden var kvalitativ med induktiv ansats och individuella semi-strukturerade intervjuer analyserades med kvalitativ innehållsanalys. Sju elitskidåkare vid Riksidrottsuniversitetet i Umeå valdes strategiskt ut, sex män och en kvinna deltog, medianålder var 24 år. Alla hade utfört Functional Movement Screen (FMS) inom senaste tre åren. Resultat: Resultatet består av ett tema ”Att sträva efter att undvika skador och öka sin prestation” och de fyra kategorierna ”Otillräcklig utmaning för förbättrad prestation”, ”Kroppslig check som leder till träningsjustering”, ”Atletisk hållning och god teknik förbättrar skidåkningen” och ”Anpassning och planering av sin träning” med 3-4 underkategorier var. Resultatet representerar längdskidåkarnas önskan om att hålla sig skadefria och öka sin prestation. De önskar att ett mer anpassat screeningtest bör utvecklas utifrån noggranna observationer och mätningar utefter de specifika kraven i idrotten. Det nya screeningtestet skulle kunna leda till råd om träningsupplägg och individanpassade övningar. Slutsats: Elitskidåkarna tycker det behövs objektiv observation av längdskidåkning och vilka krav som ställs på kroppen, för utvecklande av skadeförebyggande och prestationshöjande åtgärder. Kunskapen från denna studie ger riktning mot vad framtida forskning inom ämnet bör fokusera på vid utvecklandet av nytt idrottsspecifikt test.

This diploma thesis focuses on the usage of digital technologies by children of early school age (1st to 3rd grade of elementary school). The aim of the thesis is to map in detail the use of screens in children aged 6-9 years and determine the age that would be suitable for the implementation of prevention programs aimed at the healthy use of technologies by children. The research is interested in how much time the children of a given age spend using electronic screens and what type of screens they usually use, what activities they do on the device, how the use differs between boys and girls and whether there are differences in use by children among the first three grades of primary school. The chosen research design is a cross-sectional questionnaire survey in an online form intended for parents. The results of the research showed that the amount of screen time increased with the age of the child and a larger increase was observed mainly in children in the 3rd grade of primary school. Most often, children spend time on mobile devices (smartphone or tablet) and watching TV. We also noticed a slight increase in the use of game consoles for boys in the 3rd grade of primary school, while girls use these devices hardly ever. Thus, prevention programs and education on the safe use and the risks...

High-content screens are widely used to get insight on mechanistic organization of biological systems. Chemical and/or genomic interferences are used to modulate molecular machinery, then light microscopy and quantitative image analysis yield a large number of parameters describing phenotype. However, extracting functional information from such high-content datasets (e.g. links between cellular processes or functions of unknown genes) remains challenging. This work is devoted to the analysis of a multi-parametric image-based genomic screen of endocytosis, the process whereby cells uptake cargoes (signals and nutrients) and distribute them into different subcellular compartments. The complexity of the quantitative endocytic data was approached using different Machine Learning techniques, namely, Clustering methods, Bayesian networks, Principal and Independent component analysis, Artificial neural networks. The main goal of such an analysis is to predict possible modes of action of screened genes and also to find candidate genes that can be involved in a process of interest. The degree of freedom for the multidimensional phenotypic space was identified using the data distributions, and then the high-content data were deconvolved into separate signals from different cellular modules. Some of those basic signals (phenotypic traits) were straightforward to interpret in terms of known molecular processes; the other components gave insight into interesting directions for further research. The phenotypic profile of perturbation of individual genes are sparse in coordinates of the basic signals, and, therefore, intrinsically suggest their functional roles in cellular processes. Being a very fundamental process, endocytosis is specifically modulated by a variety of different pathways in the cell; therefore, endocytic phenotyping can be used for analysis of non-endocytic modules in the cell. Proposed approach can be also generalized for analysis of other high-content screens.:Contents Objectives Chapter 1 Introduction 1.1 High-content biological data 1.1.1 Different perturbation types for HCS 1.1.2 Types of observations in HTS 1.1.3 Goals and outcomes of MP HTS 1.1.4 An overview of the classical methods of analysis of biological HT- and HCS data 1.2 Machine learning for systems biology 1.2.1 Feature selection 1.2.2 Unsupervised learning 1.2.3 Supervised learning 1.2.4 Artificial neural networks 1.3 Endocytosis as a system process 1.3.1 Endocytic compartments and main players 1.3.2 Relation to other cellular processes Chapter 2 Experimental and analytical techniques 2.1 Experimental methods 2.1.1 RNA interference 2.1.2 Quantitative multiparametric image analysis 2.2 Detailed description of the endocytic HCS dataset 2.2.1 Basic properties of the endocytic dataset 2.2.2 Control subset of genes 2.3 Machine learning methods 2.3.1 Latent variables models 2.3.2 Clustering 2.3.3 Bayesian networks 2.3.4 Neural networks Chapter 3 Results 3.1 Selection of labeled data for training and validation based on KEGG information about genes pathways 3.2 Clustering of genes 3.2.1 Comparison of clustering techniques on control dataset 3.2.2 Clustering results 3.3 Independent components as basic phenotypes 3.3.1 Algorithm for identification of the best number of independent components 3.3.2 Application of ICA on the full dataset and on separate assays of the screen 3.3.3 Gene annotation based on revealed phenotypes 3.3.4 Searching for genes with target function 3.4 Bayesian network on endocytic parameters 3.4.1 Prediction of pathway based on parameters values using Naïve Bayesian Classifier 3.4.2 General Bayesian Networks 3.5 Neural networks 3.5.1 Autoencoders as nonlinear ICA 3.5.2 siRNA sequence motives discovery with deep NN 3.6 Biological results 3.6.1 Rab11 ZNF-specific phenotype found by ICA 3.6.2 Structure of BN revealed dependency between endocytosis and cell adhesion Chapter 4 Discussion 4.1 Machine learning approaches for discovery of phenotypic patterns 4.1.1 Functional annotation of unknown genes based on phenotypic profiles 4.1.2 Candidate genes search 4.2 Adaptation to other HCS data and generalization Chapter 5 Outlook and future perspectives 5.1 Handling sequence-dependent off-target effects with neural networks 5.2 Transition between machine learning and systems biology models Acknowledgements References Appendix A.1 Full list of cellular and endocytic parameters A.2 Description of independent components of the full dataset A.3 Description of independent components extracted from separate assays of the HCS

This study examines how smartphones, laptops and tablets are used to create a sense of security, place, and time in the everyday lives of their consumers. Mark Deuze (2012) and his take on the modern society as a zombie apocalypse has been an inspiration for my work, there of the title. ”We’re all fucking zombies” is a metaphor for how highly-connected people of today are by living in and through the media, instead of living with it. To implement this I’ve chosen a phenomenological perspective, as it is the media-users’ subjective experiences of their everyday lives that I’m mainly interested in studying. I decided to focus on the mobile use of media since most of the research in this area focus on domestic media use. The theoretical framework that has set the foundation for the study is a combination of the time- space-dimensions of mobility, media as practice, symbolic interactionism, relational artifacts and phenomenological sociology. The purpose of using these theories is to get insight on how the media creates new opportunities for our social life, and to get an overview of how the new technological media leads to entirely new types of practices. The empirical data has been collected through a qualitative focus group interview with four respondents. They were selected to participate as they perceive themselves to be above average in comparison with the statistics of Mediebarometern (2014). The results showed that being connected through mobile media is considered to be of high importance. Although the ”connectedness” is only vital when being present in the locations directly related to the everyday life. Based on Silverstones (1994) explanation of phenomenology, and his studies of how television contributes to the ontological security, I conclude that the personalized mobile media has the same effect on it’s users.

As online learning rises in popularity, students are increasingly learning through technology and without regular guidance from teachers. These learning environments differ from traditional classrooms in many ways and deliver different experiences. In this study, participants’ learning environments were manipulated using two independent variables, each with two levels for a total of four conditions: study medium (text was presented either on paper or a screen) and prompt type (text was interspersed with prompts designed either to induce metacognitive processes or to be interacted with non-metacognitively). Ninety-two participants were each assigned to one of the four conditions in a between-subject design, read three expository texts, completed a comprehension test after each text, and responded to a survey at the end of the study. Participants who read text on paper tended to take more notes and spend more time studying than those who read from a screen, but performance was equal between the mediums. Participants receiving metacognitive prompts performed better than non-metacognitive participants on multiple-choice questions with an effect size comparable to those generated by educational interventions in existing literature; however, the performance difference was not statistically significant unless prompt response scores were controlled for. In addition, behavioral differences emerged between metacognitive participants (re-read more) and non-metacognitive participants (summarized more while reading). The results from this study can be used to inform dialogue about technology in classrooms and instructional design.