The Translation of the -ing form in the Novel The Da Vinci Code

This essay deals with the translation into Swedish of the ing-form in the popular novel The Da Vinci Code. The reason for looking at the -ing form is that it is a grammatical structure which is difficult to render in Swedish since there is no exact equivalent, at least not one which is used in the same manner as the English. The aim is to find out how the translator has dealt with the ing-form and also to find out whether there are any instances where the context has been altered due to the manner in which the translation has been carried out.

Kan ett synintryck upphäva en ljudillusion? : En undersökning av oktavillusionen kopplad till visuella stimuli i form av noter

The present study origins from Diana Deutschs work with the octave illusion and investigates if musically trained subjects can give a more correct perception of the octave illusion if their visual senses also get stimulated in form of scores.Ten subjects, with over 20 years experience playing an instrument, participated in the investigation. The result shows that a more correct perception of the octave illusion depends on the educational level in scorereading. Four out of five subjects who valued their knowledge in scorereading as being good or very good reported that the score corresponded to what they could hear in the right ear, which is connected to the dominant hemisphere. When they were instructed to focus on both ears three of these subjects reported that the score corresponded to what they could hear in the left ear, but that they could not hear the lower tone in the right ear. As the scores for the right ear were equal for the identical soundexamples this perception could be an indication that stimuli are percieved as being complex and the interpretation is alternated to the non dominant hemisphere.

Ungdomars tankar kring betydelsen av färg och form vid framställningen av en internationell webbtidning

När en grafisk profil för en spännande ny internationell webbtidning för ungdomar skall göras är det viktigt att tänka på hur färg och form påverkar våra känslor. Experiment med färg som har gjorts av ledande färgpsykologer och färgvetare som Goethe, Itten, Lüscher och Karl Ryberg bevisar att färg har en stor psykologisk påverkan på människan. Internet är ett väldigt effektiv kommunikationsmedium och för att kommunicera effektivt är det inte bara orden, utan även färgerna och formerna på webbsidorna som skall vara väl genomtänkta. Vilka färger kopplar ungdomar i Sverige och Chile ihop med vissa känslor? Vilka former kopplas ihop med samma känslor? Svaren på de frågorna sammanställdes och analyserades efter svaren på en enkät om färg och form som delades it till två högstadieskolor i Borlänge, Sverige och en i Santiago, Chile.

MACHINE VISION FOR AUTOMATICVISUAL INSPECTION OF WOODENRAILWAY SLEEPERS USING UNSUPERVISED NEURAL NETWORKS

The motivation for this thesis work is the need for improving reliability of equipment and quality of service to railway passengers as well as a requirement for cost-effective and efficient condition maintenance management for rail transportation. This thesis work develops a fusion of various machine vision analysis methods to achieve high performance in automation of wooden rail track inspection.The condition monitoring in rail transport is done manually by a human operator where people rely on inference systems and assumptions to develop conclusions. The use of conditional monitoring allows maintenance to be scheduled, or other actions to be taken to avoid the consequences of failure, before the failure occurs. Manual or automated condition monitoring of materials in fields of public transportation like railway, aerial navigation, traffic safety, etc, where safety is of prior importance needs non-destructive testing (NDT).In general, wooden railway sleeper inspection is done manually by a human operator, by moving along the rail sleeper and gathering information by visual and sound analysis for examining the presence of cracks. Human inspectors working on lines visually inspect wooden rails to judge the quality of rail sleeper. In this project work the machine vision system is developed based on the manual visual analysis system, which uses digital cameras and image processing software to perform similar manual inspections. As the manual inspection requires much effort and is expected to be error prone sometimes and also appears difficult to discriminate even for a human operator by the frequent changes in inspected material. The machine vision system developed classifies the condition of material by examining individual pixels of images, processing them and attempting to develop conclusions with the assistance of knowledge bases and features.A pattern recognition approach is developed based on the methodological knowledge from manual procedure. The pattern recognition approach for this thesis work was developed and achieved by a non destructive testing method to identify the flaws in manually done condition monitoring of sleepers.In this method, a test vehicle is designed to capture sleeper images similar to visual inspection by human operator and the raw data for pattern recognition approach is provided from the captured images of the wooden sleepers. The data from the NDT method were further processed and appropriate features were extracted.The collection of data by the NDT method is to achieve high accuracy in reliable classification results. A key idea is to use the non supervised classifier based on the features extracted from the method to discriminate the condition of wooden sleepers in to either good or bad. Self organising map is used as classifier for the wooden sleeper classification.In order to achieve greater integration, the data collected by the machine vision system was made to interface with one another by a strategy called fusion. Data fusion was looked in at two different levels namely sensor-level fusion, feature- level fusion. As the goal was to reduce the accuracy of the human error on the rail sleeper classification as good or bad the results obtained by the feature-level fusion compared to that of the results of actual classification were satisfactory.

Omvårdnadsbehov i form av stöd hos kvinnor med bröstcancer : En systematisk litteraturstudie

Föreliggande systematiska litteraturstudie syftade till att samla information och söka evidens för bröstcancerdrabbade kvinnors omvårdnadsbehov från sjuksköterskans i form av stöd för psykiska, sociala eller informativa behov. Sexton vetenskapliga artiklar valdes ut via databasen CINAHL (Cumulative Index to Nursing and Allied Health Literature) och fulltextdatabasen ELIN (Elecronic Library Information Navigator) för vidare granskning. Till sökningen användes sökorden breast*, cancer*, nurs* och support. Alla utvalda artiklar som härrör till syftet kvalitetsbedömdes genom på förhand bestämda granskningskriterier från modifierade förlagor efter Forsberg och Wengström (2003) och Willman, Bahtsevani och Stoltz (2007). Av resultatet framkom det att det fanns stark evidens för att kvinnor med bröstcancer har ett omvårdnadsbehov av socialt stöd, psykiskt stöd och även av information av sjuksköterskan. Omvårdnadsbehov som även kom fram i denna studie är kontinuitet i vården och personliga samtal med sjuksköterskan. Att få utöva sin religiösa tro, sin andlighet och utöva sin kulturella tillhörighet samt likaså känna förtroende är omvårdnadsbehov som blev uppenbarat i resultatet. Resultatet diskuterades utifrån Aaron Antonovskys omvårdnadsteori där känslan av sammanhang är central.

Multimodal Literacy as a form of Communication : What is the state of the students at Dalarna University multimodal literacy?

Literacy is an invaluable asset to have, and has allowed for communication, documentation and the spreading of ideas since the beginning of the written language. With technological advancements, and new possibilities to communicate, it is important to question the degree to which people’s abilities to utilise these new methods have developed in relation to these emerging technologies. The purpose of this bachelor’s thesis is to analyse the state of students’ at Dalarna University mulitimodal literacy, as well as their experience of multimodality in their education. This has led to the two main research questions: What is the state of the students at Dalarna University multimodal literacy? And: How have the students at Dalarna University experienced multimodality in education? The paper is based on a mixed-method study that incorporates both a quantitative and qualitative aspect to it. The main thrust of the research paper is, however, based on a quantitative study that was conducted online and emailed to students via their program coordinators. The scope of the research is in audio-visual modes, i.e. audio, video and images, while textual literacy is presumed and serves as an inspiration to the study. The purpose of the study is to analyse the state of the students’ multimodal literacy and their experience of multimodality in education. The study revealed that the students at Dalarna University have most skill in image editing, while not being very literate in audio or video editing. The students seem to have had mediocre experience creating meaning through multimodality both in private use and in their respective educational institutions. The study also reveals that students prefer learning by means of video (rather than text or audio), yet are not able to create meaning (communicate) through it.

Smärta, skönhet och sociomaterialitet : En intervju med Dag Østerberg om begreppen form, förändring och socialitet

Pain, beauty, and socio-matter. An interview with Dag Østerberg concerning the concepts of form, process, and sociality. Professor Dag Østerberg (born 1938) is one of the most prominent Nordic sociologists and the author of many influential books. In this interview he discusses the concept of form in sociology and social thinking and relates it not only to change, but to sociality, pain, beauty, and socio-matter as well. In order to contextualise Østerberg’s discussion, the interview is prefaced by a brief introduction to the traditional understanding of form as related to matter and content.

Automating condition monitoring of vegetation on railway trackbeds and embankments

Vegetation growing on railway trackbeds and embankments present potential problems. The presence of vegetation threatens the safety of personnel inspecting the railway infrastructure. In addition vegetation growth clogs the ballast and results in inadequate track drainage which in turn could lead to the collapse of the railway embankment. Assessing vegetation within the realm of railway maintenance is mainly carried out manually by making visual inspections along the track. This is done either on-site or by watching videos recorded by maintenance vehicles mainly operated by the national railway administrative body. A need for the automated detection and characterisation of vegetation on railways (a subset of vegetation control/management) has been identified in collaboration with local railway maintenance subcontractors and Trafikverket, the Swedish Transport Administration (STA). The latter is responsible for long-term planning of the transport system for all types of traffic, as well as for the building, operation and maintenance of public roads and railways. The purpose of this research project was to investigate how vegetation can be measured and quantified by human raters and how machine vision can automate the same process. Data were acquired at railway trackbeds and embankments during field measurement experiments. All field data (such as images) in this thesis work was acquired on operational, lightly trafficked railway tracks, mostly trafficked by goods trains. Data were also generated by letting (human) raters conduct visual estimates of plant cover and/or count the number of plants, either on-site or in-house by making visual estimates of the images acquired from the field experiments. Later, the degree of reliability of(human) raters’ visual estimates were investigated and compared against machine vision algorithms. The overall results of the investigations involving human raters showed inconsistency in their estimates, and are therefore unreliable. As a result of the exploration of machine vision, computational methods and algorithms enabling automatic detection and characterisation of vegetation along railways were developed. The results achieved in the current work have shown that the use of image data for detecting vegetation is indeed possible and that such results could form the base for decisions regarding vegetation control. The performance of the machine vision algorithm which quantifies the vegetation cover was able to process 98% of the im-age data. Investigations of classifying plants from images were conducted in in order to recognise the specie. The classification rate accuracy was 95%.Objective measurements such as the ones proposed in thesis offers easy access to the measurements to all the involved parties and makes the subcontracting process easier i.e., both the subcontractors and the national railway administration are given the same reference framework concerning vegetation before signing a contract, which can then be crosschecked post maintenance.A very important issue which comes with an increasing ability to recognise species is the maintenance of biological diversity. Biological diversity along the trackbeds and embankments can be mapped, and maintained, through better and robust monitoring procedures. Continuously monitoring the state of vegetation along railways is highly recommended in order to identify a need for maintenance actions, and in addition to keep track of biodiversity. The computational methods or algorithms developed form the foundation of an automatic inspection system capable of objectively supporting manual inspections, or replacing manual inspections.