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With the climate change the frequency of disasters are increasing all over the world. Hospital is an important organization which has significant role and responsibility during and after disaster. Proper preparation from beforehand is necessary to handle disaster related mass emergency. The objective of this scoping review is to offer a thorough overview of disaster preparedness among hospitals in

The composition of food includes water, fat, carbohydrates, protein, etc. which are eaten by humans to get nutritional value to live life. However, the pervasive consumption of adulterated food poses a serious threat to people of all ages. This situation is correlated to victims of around 2.5 million people annually. Food adulteration not only intertwines with human rights but also threatens our b

Physical activity is essential for health and well-being, as recognized by the World Health Organization (WHO), which defines it as any bodily movement produced by skeletal muscles that requires energy expenditure. Recommended levels of physical activity vary depending on age, with children needing at least 60 minutes per day and adults requiring 150–300 minutes of moderate-intensity activity per

Recently, a newly developed family of decoders named as Guessing Random Additive Noise Decoder (GRAND) has been gaining attention. The key idea of the decoder is to look for the most probable error vectors that interacted with the transmitted message, producing the received block. Among the different variations of the algorithm, the soft-input soft-output (SISO) decoder, known as SO-GRAND, emerges

Unravelling the home is an anecdotal mapping of the house and the objects within it to seek a deeper understanding of what a home is constructed of. Through prints, photographs, observations, interviews and drawings, the house is slowly unravelled to visualise the material and the immaterial components, including the norms and narratives, that makes it a home. The notion of the home as a physical

This thesis focuses on the development of an image stabilization system for body-worn cameras. Body-worn cameras are frequently used in dynamic situations, exposing them to intense movements. Capturing sharp, high-quality footage in these conditions requires effective image stabilization systems. This investigation involved mapping the nature of the disturbances experienced by the body-worn camera

The global food system is a cause of the worldwide poly-crisis in climate change and ecological decay. Ecological food systems have been emerging to contest the ruinous food production model. This thesis explores one branch of ecological food production: urban farming. Focused on the Swedish context, cases in Växjö, Malmö, and Göteborg were analyzed to examine how urban farms and involved agents n

At the drinking water treatment plant (DWTP) at Ringsjöverket (Sweden, Stehag), where this project is executed, a process of rapid sand filter (RSF) and slow sand filter (SSF) is used as a part in treating surface water into drinking water. The Moving bed biofilm reactor (MBBR) is a simple and strong biological process that has been shown to be effective in treating polluted raw water from nitroge

Utvecklingen av digitala 3D stadsmodeller i städer har ökat de senaste åren där fokus mestadels varit på byggnader. I den här studien presenteras transportinfrastruktur med olika detaljnivåer (LoD). Det svenska verksamhetssystemet inom transport NVDB samt kommunala trafikdata länkas till en informationsmodell som heter 3CIM. Via digitaliserade ytor i form av trafikområden kopplas väglänks-ID f

Detta examensarbete är en studie av mellanrum i urban miljö. Mellanrum finns överallt runt omkring oss, men de är rum de flesta av oss sällan tänker på. Genom studier i utvalda urbana områden och konstnärligt utforskande undersöker arbetet hur mellanrum kan definieras, deras betydelse för stadsmiljön och hur vi kan involvera dem i en arkitektonisk process. Projektet syftar till att öka förståelse

The buildings and construction sector plays a key role for the European Union to achieve its climate targets. Continuous failure of the sector ́s climate mitigation has brought up a rising discussion about the compatibility of infinite economic growth and long-term socio-ecological sustainability. Grounded in the concept of degrowth, this study analyzes the implicit sustainability understandings a

Amphibians are the most rapidly declining vertebrate class globally and are especially vulnerable to habitat fragmentation causing population isolation. The genetic consequences of population size reduction, inbreeding and genetic drift, can have detrimental effects on the long-term viability of amphibian species, often leading to extinction. Population genomics approaches have become a crucial to

Spatial transcriptomics, a powerful technique that merges sequencing and spatial data, offers unprecedented resolution for studying gene expression within tissues. This study focuses on developing a pipeline to design probes for Multiplexed Error-Robust Fluorescence In Situ Hybridisation (MERFISH) experiments to investigate the spatial distribution of the lung microbiome. Metagenomic data analysis

Spatial omics allows for the investigation of the Tumor Immune Microenvironment (TIME). Stratifying patients by their TIMEs contributes with insights on tumor immune escape, and help in tumor drug targeting. Tools to investigate such spatial omics approaches suffer from high costs and limited direct clinical applicability. We address this issue by proposing a Machine Learning model which learns to

The aim of this research project was to create a bioinformatic image analysis pipeline for the investigation of lymphocytes in healthy human lungs. The lung is an important organ to study as it provides a fast way for pathogens to enter the body. Therefore, the pulmonary immune system must be further investigated in both healthy and diseased tissue. In order to do comparative studies, we need to c

En fungerande stadsbyggnad och översvämningriskhantering i Quezon City, Filippinerna, ett snabbt växande område med omfattande utbredning av informella bosättningar, är avgörande med tanke på den omfattande risken för översvämningar. Detta examensarbete syftar till att bidra till strategier för stadsplanering i översvämningsdrabbade områden genom att integrera en maskininlärningsmodell med stadsbyUrban development and flood risk management in Quezon City, Philippines, a rapidly urbanising area with extensive informal settlements, are critical given the city's vulnerability to flooding. This thesis aims to contribute to the theoretical framework for urban development in flood-prone areas by integrating a machine-learning model with contextual urban planning. The model uses a Random Fore