Essays about: "non-experts"

Showing result 1 - 5 of 33 essays containing the word non-experts.

  1. 1. Potential and Limitations of the Sketch Map Tool in the International Red Cross Red Crescent Movement

    University essay from Lunds universitet/Avdelningen för Riskhantering och Samhällssäkerhet

    Author : Kimon Letzner; [2024]
    Keywords : Disaster risk reduction; Participatory action research; Community risk mapping; International Red Cross Red Crescent Movement; Colombia; Technology and Engineering;

    Abstract : In disaster risk management, participatory mapping (PM) closes spatial data gaps in communities by integrating local risk knowledge. The thesis examined the potential and limitations of the Sketch Map Tool (SMT) as a PM tool for community-based disaster risk reduction (DRR) through an International Red Cross Red Crescent Movement case study. READ MORE

  2. 2. Creating a High-Throughput Workflow for Automated Peptide Characterization using LC-MS

    University essay from Lunds universitet/Centrum för analys och syntes

    Author : Sara Forsberg; [2023]
    Keywords : High-throughput analysis; Impurity profiling; UHPLC-HRMS; Peptide characterization; Peptide descriptors; Analytical chemistry; Technology and Engineering;

    Abstract : In the early stage of a drug discovery project, there is a need for efficient methods that can analyse peptides in short time. This includes methods that confirm the peptide’s identity and estimates its relative purity in an efficient and reliable way. READ MORE

  3. 3. Are expert judgments a reliable tool for predicting farmer and food consumer decisions? : experimental evidence from a forecasting survey

    University essay from SLU/Dept. of Economics

    Author : Adam Warren Kirby; [2023]
    Keywords : Experimental economics; forecasting; food-chain actors; food choice; agricultural policy;

    Abstract : Often trusted to provide sound recommendations and advice, experts from academia and industry are often relied upon throughout industries around the globe, and the food and agriculture industry is no different. We therefore ask, how accurate are these experts, and are they able to accurately forecast behavior from varying food chain actors such as farmers and consumers? Do these experts have a preconceived bias to one side or the other? These questions become increasingly important when considering policy developments such as the EU Farm to Fork strategy, which seek to integrate the consumer-facing food industry and the producer-forward agriculture industry, two policy realms that have historically remained relatively independent of one another. READ MORE

  4. 4. Determining Protein Conformational Ensembles by Combining Machine Learning and SAXS

    University essay from KTH/Tillämpad fysik

    Author : Samuel Eriksson Lidbrink; [2023]
    Keywords : AlphaFold; AlphaFold2; SAXS; protein conformational ensembles; machine learning; protein conformations; reweighting; SAXS; AlphaFold; AlphaFold2; proteinkonformationsensembler; maskininlärning; proteinkonformationer; omviktning;

    Abstract : In structural biology, immense effort has been put into discovering functionally relevant atomic resolution protein structures. Still, most experimental, computational and machine learning-based methods alone struggle to capture all the functionally relevant states of many proteins without very involved and system-specific techniques. READ MORE

  5. 5. Life Cycle Assessment as a decision-making tool within vaccine manufacturing – Potential and Limitations

    University essay from Uppsala universitet/Institutionen för geovetenskaper

    Author : Simon Deklerck; [2023]
    Keywords : Decision-making; energy intensive industries; Life Cycle Assessment; Life Cycle Inventory; pharmaceutical; Product Footprint Calculator; value chain; vaccine manufacturing;

    Abstract : Life Cycle Assessment (LCA) is a widely used method for evaluating the environmental impacts of a product throughout its entire life cycle. As a decision-making tool, LCA allows decision-makers to identify the environmental hotspots in a product or process, and to explore opportunities for improvement. READ MORE