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Co-designing together with persons with visual impairments
The benefits of involving persons intended to use a product or service early in the design process is increasingly acknowledged. This text provides inspiration and practical suggestions for anyone interested in designing for and with persons with visual impairments. We focus on co-design, but many of the adaptations and materials presented can also be used in more traditional design activities, su
Learning to Live with Rats
Agri-labour mobility in a changing climate : A systems approach to vulnerability and precarity among migrant farmworkers
This research explores the climate vulnerability of migrant farmworkers within the climate-sensitive commercial agriculture of the Mediterranean Basin, through a case study of Turkey. In Turkey a vast majority of the farmworkers belong to Kurdish and Arab ethnic groups, including internally displaced people (IDPs) and Syrians. Utilising a critical political economy approach to vulnerability and sy
In search of a “big idea” : A critical review of the function of comparison processes in language learning psychology
Research into the psychology of language learning (PLL) can make important contributions to the knowledge base of the teaching profession. However, impact can be hampered by conceptual accessibility. One way to enhance accessibility is to enable practitioners to encounter research through a smaller number of “big ideas”. A “big idea” is a core idea that connects subfields and links disciplinary un
Fractal Quantum Nambu Mechanics
This paper develops a comprehensive framework for the extension of classical and quantum mechanics to fractal settings. We begin by summarizing the classical formulation of Fractal Nambu Mechanics and then introduce its quantization. The Fractal Hamilton-Jacobi Theory is established to describe dynamical systems evolving over fractal time and space, followed by a fractal generalization of the quan
Understanding the development of mechanically and thermally induced white layers in AISI 52100 steel during hard turning : process-microstructure-property relationship
Hard turning offers a cost-effective alternative to traditional grinding, yet the tool wear progression limits the broader industrial adoption. During hard turning, the surface microstructure of AISI 52100 steel transforms into a nanocrystalline structure known as white layer, accompanied by significant surface residual stresses. With optimal cutting conditions, surfaces develop nanocrystalline mi
Decompression at 1.3 versus 1.6 bar and Nitrogen Elimination and Venous Gas Emboli : A Randomized Controlled Trial
INTRODUCTION: The optimal depth for decompression stops is unclear. We hypothesize that a decompression stop at 1.3 bar, compared with 1.6 bar, decreases post-dive whole-body nitrogen washout volumes and venous gas emboli (VGE).METHODS: In this randomized crossover trial, divers performed wet air dives of 40 minutes at 3.4 bar (340 kPa) with a seven-minute-long decompression stop at either 1.3 bar
Crash typology of professional cycling crashes
Mild traumatic brain injury (mTBI) is a frequent but underreported consequence of professional cycling crashes, yet current helmet testing standards primarily simulate head-first impacts, and their representation of real-world head impact scenarios is unclear. This study explores crash typology of professional cycling crashes involving head-ground contact through systematic video analysis of 128 h
Assessing dust storm risks in water-scarce regions : a machine learning approach
Climatic factors and water and land use management mainly impact dust storm frequency and intensity. Water scarcity and a drier climate will lead to more severe and frequent dust storms in the near and far future. This makes dust storm susceptibility a dynamic phenomenon requiring spatiotemporal analyses. Regarding the complexity of this phenomenon, this chapter discusses AI-based methods for spat
Machine learning in groundwater drought forecasting : a bibliometric perspective
As a subset of hydrological drought, groundwater drought arises from the specific features of aquifers and human-induced changes in the hydrological system. Because of the complexity of these underground systems and difficulties in obtaining field measurements, modern approaches such as machine learning and remote sensing have become popular tools for monitoring and forecasting. This chapter emplo
Water scarcity crisis : overview of challenges and solutions
Water scarcity is a global problem and refers to a situation where the demand for water exceeds the available quantity over a given period or if sufficient water is available, the quality of the water is poor and its use is limited. The issue of water scarcity is very complex and is affected by a wide range of natural and anthropogenic factors. Water scarcity can arise from different aspects: (i)
‘The sea is the only means of feeding’ : Coping strategies in Ghanaian fishing communities during the closed season
Seasonality is a core aspect of life in West African artisanal fishing communities, with fisherfolk having long adapted to bumper and lean fishing seasons. In an attempt to tackle dwindling fish stocks, however, the Government of Ghana introduced a month-long closed fishing season. This paper explores the ways in which fishing communities, which are accustomed to seasonal change, make sense of and
Editorial overview : Biodiversity finance
Ambivalence about Race : Expert opinions on using racial and ethnic categories in clinical research in Sweden
This chapter examines the localized ambivalence surrounding the use of race in contemporary biomedicine: how race is constructed as both valid/relevant and invalid/irrelevant in a specific national setting. It is based on interviews with twenty-six expert professionals in Sweden who are directly or indirectly involved in clinical pharmaceutical research, including clinical researchers, research nu
The Idea of Crisis : Reflections from the 2022 NSfK Research Seminar
Water Scarcity Management : Toward the Application of Artificial Intelligence and Earth Observation Data
Drought and the condition of water scarcity lead to several socio-economic, social and environmental impacts. Whatever the approaches of drought management, policymakers and planners require novel methods to analyze data and model drought processes and its connection with water scarcity. In recent years, artificial intelligence-based and earth observation approaches have been progressively d
Geospatial-based mapping and monitoring of pest and disease outbreaks utilizing machine learning
For this project, machine learning and cutting-edge remote sensing technologies are used to create a geospatial mapping and monitoring system for agricultural pest and disease outbreaks. By combining satellite data, unmanned aerial vehicle hyperspectral evaluation, and environmental factors, the system can identify the spread of pests and diseases in real time. Data evaluation and outbreak predict
C-terminal Modifications and Short Oligopeptide Mimetics of Pancreatic Polypeptides in Y4 Receptor Activation
Pancreatic polypeptide (PP) is a gut-derived hormone of the neuropeptide Y family that regulates appetite, gastrointestinal motility, and energy homeostasis through activation of the neuropeptide Y4 receptor (Y4R). With the rising prevalence of obesity, understanding the molecular pharmacology and structure-function relationships of PP-Y4R interactions is essential for the development of novel ant
Studie av förtätning i stadsdelen Drottninghög, Helsingborg
Denna studie undersöker förtätningsprojektet DrottningH i Helsingborg Stad med fokus på social hållbarhet i området. DrottningH är ursprungligen ett miljonprogramsområde från 1960-talet som sedan 2012 genomgår ett omfattande omvandlingsprojekt. Projektet syftade till att fördubbla antalet bostäder från cirka 1 100 till 2 200 samtidigt som det arbetas med sociala och värdefulla insatser, detta framUrban densification is increasingly being used as a strategy to meet the housing demand in growing cities while minimizing land exploitation. This bachelor thesis examines the development project “DrottningH” in Helsingborg City, one of Sweden’s first so called million program areas. The aim is to investigate whether the ongoing densification has contributed to social sustainability by analyzing a
