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This chapter summarizes approaches to the detection of dryland vegetation change and methods for observing spatio-temporal trends from space. An overview of suitable long-term Earth Observation (EO) based datasets for assessment of global dryland vegetation trends is provided and a status map of contemporary greening and browning trends for global drylands is presented. The vegetation metrics suit
As the negative impacts of hydrological extremes increase in large parts of the world, a better understanding of the drivers of change in risk and impacts is essential for effective flood and drought risk management and climate adaptation. However, there is a lack of comprehensive, empirical data about the processes, interactions and feedbacks in complex human-water systems leading to flood and dr
Chromatography is a separation technique frequently used in the purication of medicinal drugs. In studies and project at the department of chemical engineering at Lund University a large amount of data have been generated through the use of their research software Orbit and their ÄKTA chromatography system. Methods have been developed for visualization of this data but there is currently no good w
The book gathers a number of articles devoted to new approaches towards research into freemasonry as a socio-cultural phenomenon in British society.
The repeated occurrence of severe wildfires has highlighted the need for development of effective vegetation moisture monitoring tools. The normalized difference infrared index (NDII) derived from SPOT Vegetation satellite data and the Keetch-Byram drought index derived from temperature and rainfall data are both related to vegetation moisture dynamics. Autocorrelation of time series is a major is
Liquid chromatography-mass spectrometry (LC-MS) and mass spectrometry imaging (MSI) are two techniques that are routinely used to study proteins, peptides, and metabolites at a large scale. Thousands of biological compounds can be identified and quantified in a single experiment with LC-MS, but many studies fail to convert this data to a better understanding of disease biology. One of the primary
Nuclear technology and the use of radiation sources have been extensively adopted in the modern world. Despite that, a number of radiological accidents, significantly affecting population and the environment, has happened. Few of the most known are accidents in Chernobyl and Fukushima nuclear power plants. As a result, significant areas are still contaminated with some residential areas evacuated
Eye tracking is a useful tool when studying the oscillatory eye movements associated with nystagmus. However, this oscillatory nature of nystagmus is problematic during calibration since it introduces uncertainty about where the person is actually looking. This renders comparisons between separate recordings unreliable. Still, the influence of the calibration protocol on eye movement data from peo
Neutron reflectivity (NR) measurements have been performed on stimulus-responsive polymer brushes containing N-isopropylacrylamide (NIPAAM) at different temperatures and contrasts using two different brush samples of roughly the same grafting density and layer thickness. The NR data were analyzed using a novel method employing polymer density profiles predicted from lattice mean-field theory augme
This thesis examines how the introduction of an Earned Income Tax Credit (EITC) in Sweden in 2007 may have affected pre-tax salaries. Previous research has found that the incidence of an EITC may not be entirely carried by the employees, which in some earlier research is assumed. A reduction in pre-tax salaries implies that a portion of the tax credit benefits the employers. If true, an EITC may i
Developing and getting a new medicine approved is a long and expensive process and it would therefore be beneficial if it could be streamlined. In order to control the effect and safety of a new treatment, clinical trials are performed. Traditionally, these have been performed at physical clinics, but with digitalization the option to collect clinical data remotely has been presented. This thesi
De nuvarande metoderna som tillämpas av olika företag och forskare när det gäller om att räkna cykelvolym i olika tätorter har förbättrats över tiden. Dock har det aldrig varit felfri, vilket har lett till fortsatta studier och ännu mer utrymme att förbättra de befintliga metoderna. Därför är syftet med rapporten att ytterligare analysera det som redan har gjorts och hur man kan överträffa nuvaranThe current methods employed by different companies and researchers when it comes to measuring bike volume at different urban environments have been improving over time. However, it has never been completely flawless, leading to future studies and even more room to improve the existing methods. Which is why, the purpose of this report is to further analyze what has already been done and how to exc
Background: Access to sample-level metadata is important when selecting public metagenomic sequencing datasets for reuse in new biological analyses. The Standards, Precautions, and Advances in Ancient Metagenomics community (SPAAM, https://spaam-community.org) has previously published AncientMetagenomeDir, a collection of curated and standardised sample metadata tables for metagenomic and microbia
Collecting detailed hydrogeological data before, during, and after remediation campaigns is essential for effective management and monitoring of contaminated sites. As in-situ remediation injection treatment becomes more popular, recording the hydraulic response during these events offers an opportunity to collect detailed data on hydrogeological parameters. Often, multiple injections are performe
Synthesizing representative weather data sets that reflect both typical and extreme conditions is essential for reliable hygrothermal simulations, especially when considering future climates, which involve significant uncertainties. In this study, multiple representative weather data sets are generated using various methods, broadly categorized based on picking the representative months using vari
This thesis aims to investigate the dynamics of the so-called “leverage-effect”. This asymmetry in volatility after negative shocks, relative to positive shocks has been documented extensively before. However, except for findings that it is not due to leverage, the underlying or enhancing factors that cause it have not been investigated. This thesis aims to do so, by testing for the influence of f
By being predicated on supervised machine learning, pattern recognition approaches to myoelectric prosthesis control require electromyography (EMG) training data collected concurrently with every detectable motion. Within this framework, calibration protocols for simultaneous control of multifunctional prosthetic hands rapidly become prohibitively long - the number of unique motions grows geometri
