Essays about: "scope and limitation of a study"

Showing result 1 - 5 of 39 essays containing the words scope and limitation of a study.

  1. 1. SOIL GROSS NITROGEN MINERALISATION AND FOREST GROWTH IN FOUR HEMIBOREAL FOREST STANDS IN SOUTHWEST SWEDEN

    University essay from Göteborgs universitet / Institutionen för biologi och miljövetenskap

    Author : Linnéa Eriksson; [2023-04-20]
    Keywords : soil C:N; forest production; 15N isotope dilution; gross N mineralisation; ammonium; soil carbon; soil nitrogen; root exudates; stoichiometric decomposition; boreal forests; priming; microbial C limitation;

    Abstract : Boreal and temperate forests together make up the largest terrestrial net C sink in the world. They take up carbon dioxide (CO2) from the atmosphere and store it in plant biomass and soil as they grow, making them crucial in mitigating global climate change. READ MORE

  2. 2. The carbon footprint of rye bread production in Sweden : a life cycle assessment (LCA) of the Fazer product Rågkusar

    University essay from SLU/Dept. of Energy and Technology

    Author : Stella Hildersten; [2023]
    Keywords : Life Cycle Assessment LCA ; bread; rye bread; bread production; sustainable development; carbon footprint; global warming potential;

    Abstract : The future will require sustainable food systems; systems that meets the present and the future with consideration of economic and social development, as well as environmental protection. In the current food system, two key drivers towards environmental pressure are agriculture and food consumption. READ MORE

  3. 3. Towards Green Steel Circular Business Models : Exploring Barriers and Business Model configurations

    University essay from Luleå tekniska universitet/Institutionen för ekonomi, teknik, konst och samhälle

    Author : Robin Bergman; Rasmus Rönnqvist; [2023]
    Keywords : Steel industry; Green Steel; Circular Business Models; Adoption Barriers; Business Model configurations;

    Abstract : Purpose - The aim of the study is to further bridge the gap regarding adoption of Circular Business Models (CBM) more specifically in this case, the barriers to the adoption of Green Steel CBMs, and how Business Models (BM) can be configured for the adoption of Green Steel CBMs. Method - The research questions in the study were answered through a thematic analysis based on a three-phase data collection consisting of two informal meetings with industry specialists and 25 semi-structured interviews, followed by eleven additional interviews from a Green Steel conference to validate the findings of the semi-structured interviews. READ MORE

  4. 4. Mandatory Human Rights Due Diligence: A study on sources of international business and human rights law, and stakeholder engagement in the context of the EU’s sustainability due diligence directive

    University essay from Lunds universitet/Juridiska institutionen; Lunds universitet/Juridiska fakulteten

    Author : Aram Shokor Qasim; [2023]
    Keywords : public international law; law; soft law; hard law; CSDDD; sustainability; Law and Political Science;

    Abstract : The European Council’s proposal for a corporate sustainability due diligence directive (the “Proposal”) aims to introduce obligations and respon-sibilities for some companies (“Company/Companies”) related to sustainability matters. Part of the reasons for the Proposal was the emergence of global value chains, which are prone to contain human rights violations. READ MORE

  5. 5. Artificial Neural Networks and Inductive Biases for Multi-Instance Multi-Modal Tabular Data : A Case Study for Default Probability Estimation in Small-to-Medium Enterprise Lending

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Gustav Röhss; [2022]
    Keywords : ;

    Abstract : The success of artificial neural networks in homogeneous data domains such as images, textual data, and audio and other signals has had considerable impact on Machine Learning and science in general. The domain of heterogeneous tabular data, while arguably much more common, remains much less explored with regards to artificial neural networks and deep learning. READ MORE