Search results

Filter

Filetype

Your search for "*" yielded 560722 hits

On the ergotropy, practical-viability, and dissipation characterization of an electron-phonon quantum battery.

This thesis investigates the ergotropy and usability of a certain quantum battery. The ergotropy is the maximum extractable energy of a cyclic process. First, the battery from a previous thesis is recreated and then this battery is investigated in terms of its ergotropy. The battery is proven to not only be charging but also have an equal increase in ergotropy, hence all of the charged energy is u

Search for Neutron Electric Charge at the HIBEAM Beamline at the ESS

De allra minsta partiklarna i vårt universum, och hur de interagerar med varandra, beskrivs av Standardmodellen. Det är en ytterst framgångsrik teori, som har förklarat gamla fenomen som elektromagnetismen på ett hittills felfritt vis, och har förutspått existensen av nya partiklar decennier innan de upptäcks i experiment. Men den är inte utan luckor: mörk materia har spökat för forskarna i många The Standard Model does not predict the quantization of electric charge, and thus does not explicitly demand the electric neutrality of the neutron. This charge has previously been measured to an upper limit of ∼ 1 × 10^−21 elementary charges in a 1988 joint experiment between the University of Bayreuth and Institut Laue-Langevin [1]. A new experiment proposed for the HIBEAM beamline at the ESS is

Exploring informal learning in higher education : a study in a technologically intense environment

The study aims to investigate how students informally accomplish the acquisition of theoretical and practical knowledge in a technologically intense environment, and whether this accomplishment changes over a course. Furthermore, the study investigates the possible correlation to results.The study is based on a two-step survey conducted at the start and the end of a course in dynamic simulation. T

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

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

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

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