Violence and reproductive health preceding flight from war : accounts from Somali born women in Sweden

Background: Political violence and war are push factors for migration and social determinants of health among migrants. Somali migration to Sweden has increased threefold since 2004, and now comprises refugees with more than 20 years of war experiences. Health is influenced by earlier life experiences with adverse sexual and reproductive health, violence, and mental distress being linked. Adverse pregnancy outcomes are reported among Somali born refugees in high-income countries. The aim of this study was to explore experiences and perceptions on war, violence, and reproductive health before migration among Somali born women in Sweden. Method: Qualitative semi-structured individual interviews were conducted with 17 Somali born refugee women of fertile age living in Sweden. Thematic analysis was applied. Results: Before migration, widespread war-related violence in the community had created fear, separation, and interruption in daily life in Somalia, and power based restrictions limited access to reproductive health services. The lack of justice and support for women exposed to non-partner sexual violence or intimate partner violence reinforced the risk of shame, stigmatization, and silence. Social networks, stoicism, and faith constituted survival strategies in the context of war. Conclusions: Several factors reinforced non-disclosure of violence exposure among the Somali born women before migration. Therefore, violence-related illness might be overlooked in the health care system. Survival strategies shaped by war contain resources for resilience and enhancement of well-being and sexual and reproductive health and rights in receiving countries after migration.

Knowledge and perceptions regarding sexual and reproductive health among high school students in Kathmandu, Nepal

Background: Nepal recently began teaching sexual education in the school system and has established youth friendly services in order to meet the need of increased sexual and reproductive knowledge among the youth. Objective: To examine the sexual and reproductive knowledge and perceptions among young people attending schools in Kathmandu. Method: A written questionnaire was distributed to 160 students, in a classroom environment, in four schools in Kathmandu. Results: Two thirds of the females and nearly 60% of the males knew that it was possible to get sexually transmitted infection (STI) during one sexual encounter and more than half of the students knew when in the menstrual cycle conception was more likely to occur . One third of the participants did not know that it was possible to become pregnant after having intercourse once. The males demonstrated less knowledge than the females regarding every aspect of sex and reproduction, with the exception of pregnancy prevention. Conclusion and clinical implications: For the youths in this study, it was more important to prevent unwanted pregnancies than to protect oneself from STIs. Establishment of a hotline on the internet, where personalized and confidential counselling can be offered may complement the comprehensive sexual education in schools.

Violence and reproductive health preceding flight from war : accounts from Somali born women in Sweden

Background: Political violence and war are push factors for migration and social determinants of health among migrants. Somali migration to Sweden has increased threefold since 2004, and now comprises refugees with more than 20 years of war experiences. Health is influenced by earlier life experiences with adverse sexual and reproductive health, violence, and mental distress being linked. Adverse pregnancy outcomes are reported among Somali born refugees in high-income countries. The aim of this study was to explore experiences and perceptions on war, violence, and reproductive health before migration among Somali born women in Sweden. Method: Qualitative semi-structured individual interviews were conducted with 17 Somali born refugee women of fertile age living in Sweden. Thematic analysis was applied. Results: Before migration, widespread war-related violence in the community had created fear, separation, and interruption in daily life in Somalia, and power based restrictions limited access to reproductive health services. The lack of justice and support for women exposed to non-partner sexual violence or intimate partner violence reinforced the risk of shame, stigmatization, and silence. Social networks, stoicism, and faith constituted survival strategies in the context of war. Conclusions: Several factors reinforced non-disclosure of violence exposure among the Somali born women before migration. Therefore, violence-related illness might be overlooked in the health care system. Survival strategies shaped by war contain resources for resilience and

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.

Bonusar : Mot ett långsiktigt tänkande

Background: The background explains different financial crises and the effect those crises had on the Swedish acquits regarding variable compensation. The resent discussion regarding variable compensation and the main problems with bonuses is also explained. Our theories for this essay is mainly based on the new directions from Finansinspektionen FFFS 2009:6,7 and stakeholder theory. Other theories used are agency theory, stewardship theory and economic man.Purpose: The purpose of this essay is to analyze the new directions for variable compensation and to investigate if these new directions can lead to a more long-term thinking for managers in banks. Method:We used semi-structured interviews with open questions for our survey. During the survey we conducted three personal interviews and one mail interview, respondents represented the stakeholder groups: stakeholder, stakewatcher and stakekeeper. Conclusion: During our survey we found that the directions from Finansinspektionen are still on an early stage and it has been hard to analyze their effects. But it has been shown that the banks experience some difficulty in identifying their risk takers. In our investigation we have found that the new directions can be a step towards a more long-term thinking but it requires the management to change the point of view regarding bonuses.

Hälsofrämjande arbete på SSAB i Borlänge : Hälsofrämjande processer i arbetslivet och ledarskapets betydelse för medarbetarens hälsa

Problem: Arbetsmiljön är viktig för människors välbefinnande. Hälsofrämjande faktorer antas inte bara styrka individens fysiska och psykiska hälsa, utan även företagets konkurrenskraft och lönsamhet. I uppsatsen undersöker vi hur företaget SSAB i Borlänge arbetar med hälsa genom att tillämpa ett hälsofrämjande perspektiv och utgå från teorin om Känslan av sammanhang (KASAM). Ledarskapsvärderingar har betydelse för medarbetares hälsa (Hanson, 2004) och vi undersöker vilken uppfattning ett antal chefer har om sina roller i det hälsofrämjande arbetet och deras syn på medarbetarundersökningen HälsoSAM som företagshälsovården på SSAB bedriver. Arbetsbelastningen på medarbetare och chefer ökar till följd av sparkrav, samtidigt som resurserna minskar (Gatu, 2003). Följden blir en större risk för ohälsa och ett sätt att minska sjukfrånvaron är att genomföra hälsofrämjande insatser (Prevent, 2001). Syfte: Syftet med studien är att utifrån ett hälsofrämjande perspektiv förklara vad chefer har för möjligheter att skapa förutsättningar för att främja medarbetarnas hälsa på SSAB i Borlänge. Metod: Den metod som ligger till grund för uppsatsen baseras på ett kvalitativt angreppssätt där semistrukturerade intervjuer samt litteraturstudier genomförts för att samla information. Analys: Ledarens beteende påverkar medarbetarna. Hög arbetsbelastning på SSABs chefer leder till lägre närvaro bland medarbetarna, vilket i sin tur ger sämre förutsättningar för att främja hälsan. HälsoSAM kartlägger medarbetarnas hälsoläge, både välbefinnande och arbetskapacitet. Resultaten är vägledande i det hälsofrämjande arbetet men överbelastning, tidsbrist och kunskapsbrist hos cheferna bidrar till att uppföljningen inte blir systematisk. För ett väl fungerande hälsoarbete krävs systematik. Slutsats: Hälsofrämjande processer i arbetslivet skapas genom balans mellan krav och resurser. På SSAB i Borlänge hindras hälsoarbetet av tidsbrist och kunskapsbrist hos cheferna. Kostnadsbesparingar påverkar hälsoarbetet negativt och systematiken i uppföljningsarbetet blir lidande. Ansvaret för hälsoarbetet läggs på företagshälsovården, men utan stöd från chefer blir inte hälsoarbetet en naturlig del i verksamheten. Det är viktigt att i rådande situation se vad främjande av hälsa kan ge tillbaka till företaget i både ekonomiska och kvalitativa termer. Insikt om detta ökar chefernas incitament att prioritera hälsofrämjande processer och organisera arbetet så att människor har förutsättningar att hantera, kontrollera och klara av sina uppgifter.

Real time video segmentation for recognising paint marks on bad wooden railway sleepers

Wooden railway sleeper inspections in Sweden are currently performed manually by a human operator; such inspections are based on visual analysis. Machine vision based approach has been done to emulate the visual abilities of human operator to enable automation of the process. Through this process bad sleepers are identified, and a spot is marked on it with specific color (blue in the current case) on the rail so that the maintenance operators are able to identify the spot and replace the sleeper. The motive of this thesis is to help the operators to identify those sleepers which are marked by color (spots), using an “Intelligent Vehicle” which is capable of running on the track. Capturing video while running on the track and segmenting the object of interest (spot) through this vehicle; we can automate this work and minimize the human intuitions. The video acquisition process depends on camera position and source light to obtain fine brightness in acquisition, we have tested 4 different types of combinations (camera position and source light) here to record the video and test the validity of proposed method. A sequence of real time rail frames are extracted from these videos and further processing (depending upon the data acquisition process) is done to identify the spots. After identification of spot each frame is divided in to 9 regions to know the particular region where the spot lies to avoid overlapping with noise, and so on. The proposed method will generate the information regarding in which region the spot lies, based on nine regions in each frame. From the generated results we have made some classification regarding data collection techniques, efficiency, time and speed. In this report, extensive experiments using image sequences from particular camera are reported and the experiments were done using intelligent vehicle as well as test vehicle and the results shows that we have achieved 95% success in identifying the spots when we use video as it is, in other method were we can skip some frames in pre-processing to increase the speed of video but the segmentation results we reduced to 85% and the time was very less compared to previous one. This shows the validity of proposed method in identification of spots lying on wooden railway sleepers where we can compromise between time and efficiency to get the desired result.