Filetype
Soil microbiome is one of the most heterogeneous biological systems. State-of-the-art molecular approaches such as those based on single-amplified genomes (SAGs) and metagenome assembled-genomes (MAGs) are now improving our capacity for disentailing soil microbial-mediated processes. Here we analyzed publicly available datasets of soil microbial genomes and MAG's reconstructed from the Amazon's tr
Background: Intensive care unit (ICU)-acquired delirium is frequent and associated with poor short- and long-term outcomes for patients in ICUs. It therefore constitutes a major healthcare problem. Despite limited evidence, haloperidol is the most frequently used pharmacological intervention against ICU-acquired delirium. Agents intervening against Delirium in the ICU (AID-ICU) is an international
The overall aim of the thesis is to investigate the knowledge problem in regional public transport planning. The knowledge problem is twofold. How do transport policy arrive at the desirable actions they take and how do they assess the alternatives, and what can we say about the contributions of already implemented transport schemes. Paper 1 explores how policy objectives in regional public transp
Medical knowledge is always in motion. It moves from the lab to the office, from a press release to a patient, from an academic journal to a civil servant s desk and then on to a policymaker. These movements matter: value judgements on the validity of certain forms of knowledge determine the direction of clinical research, and policy decisions are taken in relation to existing knowledge.The compl
Anaerobic digestion of food waste is an attractive and increasingly popular technology within waste management and energy recovery. A better understanding of the microbiology associated with anaerobic digestion of food waste will provide new insight into the operational conditions required for optimizing this process, as well as its potential for utilisation in co-digestion systems. Eighteen full-
Groundwater (GW) is being uncontrollably exploited in various parts of the world resulting from huge needs for water supply as an outcome of population growth and industrialization. Bearing in mind the importance of GW potential assessment in reaching sustainability, this study seeks to use remote sensing (RS)-derived driving factors as an input of the advanced machine learning algorithms (MLAs),
Inflammation is an established risk factor for colorectal cancer. We and others have shown that colorectal cancer patients with elevated cysteinyl leukotriene receptor 2 (CysLT2R) and 15-hydroxyprostaglandin dehydrogenase (15-PGDH) levels exhibit good prognoses. However, both CysLT2R and 15-PGDH, which act as tumour suppressors, are often suppressed in colorectal cancer. We previously reported tha
Epilepsy is a chronic neurological disease with high prevalence and adverse impacts on the quality of life of patients and caregivers. Up to one-third of individuals with epilepsy do not respond to current pharmacotherapy, underscoring the importance of identifying new molecules for epilepsy control. Thalidomide, the first synthetized phthalimide, is a neuroactive molecule with anti-seizure drug p
Software design in e-commerce can be improved with user data through controlled experiments (i.e. A/B tests) to better meet user needs. Machine learning-based algorithmic optimization techniques extends the approach to large number of variables to personalize software to different user needs. So far the optimization techniques has only been applied to optimize software of low complexity, such as c
