Essays about: "side effects"
Showing result 1 - 5 of 618 essays containing the words side effects.
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1. P-glykoprotein-mutationen - ABCB1-1Δ hos collies i Sverige
University essay from SLU/Dept. of Anatomy, Physiology and BiochemistryAbstract : P-glykoprotein är ett effluxprotein som uttrycks på olika luminala ytor i flera organ, bland annat tarmväggen, njurtubuli, i leverns gallgångar samt i blodhjärnbarriären. Proteinet kodas av genen ABCB1 hos hund. READ MORE
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2. Microbial production of chemical building blocks from lignin
University essay from Lunds universitet/Teknisk mikrobiologiAbstract : Plastics, derived from fossil fuels, have raised considerable environmental concerns. This has prompted the search for sustainable and safer plastic precursors alternatives. One alternative explored in the present study is vanillin, a phenolic compound derived from lignin, an abundant and renewable natural polymer. READ MORE
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3. Temperature Shocks and Price Stability
University essay from Handelshögskolan i Stockholm/Institutionen för nationalekonomiAbstract : This thesis investigates the interplay between temperatures and prices in an advanced economy context. To this end, I estimate the impulse response to a 1°C temperature anomaly on the UK economy. READ MORE
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4. Comparison of Energy Usage and Response Time for Web Frameworks
University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknik; Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. Environmental sustainability and reducing energy consumption are important and relevant topics today. Energy consumption by data centres is constantly increasing. One factor that could be affecting this is what web frameworks are being used. READ MORE
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5. Combining Cell Painting, Gene Expression and Structure-Activity Data for Mechanism of Action Prediction
University essay from Uppsala universitet/Nationellt resurscentrum för biologi och bioteknikAbstract : The rapid progress in high-throughput omics methods and high-resolution morphological profiling, coupled with the significant advances in machine learning (ML) and deep learning (DL), has opened new avenues for tackling the notoriously difficult problem of predicting the Mechanism of Action (MoA) for a drug of clinical interest. Understanding a drug's MoA can enrich our knowledge of its biological activity, shed light on potential side effects, and serve as a predictor of clinical success. READ MORE