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As a by-product of a meeting between my university’s vice-chancellor and the manager of the largest bank in the small southern town of Ystad in 2006, I, almost accidentally, soon after came to commence teaching and researching media production, production studies, media industries studies or film and media industry studies, as the subject finally came to be called at Lund. The teaching part involv
Mesoscopic simulations with two-dimensional (2D) models have been performed to elucidate the dynamics of deformable red blood cells (RBCs) in deterministic lateral displacement (DLD) devices. Several shapes of posts, including circular, diamond, square and triangular structures and RBCs with different rigidities are considered. In comparison to rigid particles, the deformable RBCs exhibit much mor
This chapter presents a flexible platform that supports prototyping up to 20 MHz bandwidth 128-antenna multiple input, multiple output (MIMO). It devotes theory, design, implementation, and prototyping of Massive MIMO for 5G communication systems. The chapter overviews the principles and theory of Massive MIMO. It describes the channel modeling system with a focus on specific phenomena of large sc
A resampling method for quantitative MRS is presented that retains absolute concentrations. Averaging the spectra from a subset improved the concentrationestimates via increased SNR. Using short-TE STEAM spectra from human thalamus, the influence of subset size was systematically studied and verifiedagainst conventional bootstrap re-sampling. Even small subsets provided considerably better signal-
The formation of smart Lab-on-a-Chip (LOC) devices featuring integrated sensing optics is currently hindered by convoluted and expensive manufacturing procedures. In this work, a series of 3D-printed LOC devices were designed and manufactured via stereolithography (SL) in a matter of hours. The spectroscopic performance of a variety of optical fibre combinations were tested, and the optimum path l
This book provides important insights into the domain of interactions between language and cognition, focusing on SPACE and expressions of SPACE. Both literal and metaphorical forms of expression are included. The research reported is carried out within the broad framework of Cognitive Linguistics, which encompasses a wide variety of empirical methods and research topics. Our approach to the const
The injury risk for bus passengers is low compared to car users. However, bus passengers also run the risk of sustaining injuries as vulnerable road users: as pedestrians or cyclists to and from the bus stop. Among vulnerable road users, seniors are a particularly important group. Hitherto, injury data have mainly been based on police-reported accidents. These accidents reveal bus occupant safety,
Observations from three case studies of public sector reforms are reported. These observations concern managerial attitudes to personnel resistance, and they reveal how management talks of resistance either as an emotional reaction or as a personality trait with certain employees. Based on these assumptions it is considered legitimate to disregard employee objections. Personnel were invited to the
Whistle-blowing can serve as a powerful mechanism helping policy-makers and other stakeholders recognize ethical misconduct and other types of wrongdoing in autonomous public agencies. This mechanism is of particular importance in major public sector reforms, such as agency mergers, when it may be difficult to secure continuity in the quality of organizational processes. Yet, we know little of wha
Negated forms have been shown to cause a higher processing cost for language comprehension in the form of higher error rates and longer processing times. Studies that tested prefixal negation (e.g. unhappy) found conflicting results as to whether these forms are processed as negated forms or as single lexical items without any processing cost (Hoosain, 1973; Sherman, 1976, 1973). The present study
Artificial intelligence (AI) has been used to develop drug sensitivity prediction models, raising the opportunity of using it for personalized cancer medicine. This chapter describes recent advancements in drug response prediction methods using machine learning algorithms. Pharmacogenomic datasets come with different types of biological data including genetic mutations, gene expression, copy numbe
Reflections on the need for Question Zero in AI-kommissionensFärdplan Sverige.
