Sökning: "Synergies"

Visar resultat 1 - 5 av 115 avhandlingar innehållade ordet Synergies.

  1. 1. Synergies in Biolubrication

    Författare :Akanksha Raj; Andra Dedinaite; Imre Varga; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Biolubrication; Synergies; Adsorption; Surface Force; Friction; Load Bearing Capacity; Self Healing; Phospholipids; DPPC; Hyaluronan; COMP; Lubricin; QCM-D; AFM; XRR.; Kemi; Chemistry;

    Sammanfattning : The objective of this thesis was to advance understanding in the field of biolubrication, finding inspiration from the human synovial joints. This was addressed by investigating the association of key biolubricants and the resulting lubrication performance. LÄS MER

  3. 2. Value creation and the challenge of joining forces: Evidence from open innovation and mergers and acquisitions

    Författare :Mattias Johansson; Chalmers tekniska högskola; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; small firm; value capture; post-merger integration; innovation; collaboration; mergers and acquisitions; synergies; large firm; open innovation; Business model; value creation;

    Sammanfattning : Value creation is pivotal for organizational survival, growth, and competitiveness. The topic has attracted a growing interest from scholars looking for new ways to analyze how firms create value for themselves and their stakeholders. The means of value creation involve a wide array of strategies, tools, and forms of interaction. LÄS MER

  4. 3. Social-ecological dynamics of ecosystem service bundles

    Författare :Megan Meacham; Albert V. Norström; Garry D. Peterson; Dagmar Haase; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Ecosystem services; multifunctionality; landscape; patterns; cluster; drivers; mapping; trade-offs; synergies; sustainability; land use; landscape management; Sweden; Sustainability Science; vetenskap om hållbar utveckling;

    Sammanfattning : The environments in which we live are complex, adapting and evolving in non-linear ways. The ecosystem services produced in landscapes supply resources, support livelihoods and are foundational to human wellbeing. LÄS MER

  5. 4. Exploiting the Synergies from Coupled Electricity and Heat Distribution Networks : Modelling, simulation and optimization based on an extended energy hub approach

    Författare :Getnet Tadesse Ayele; Björn Laumert; Joachim Claesson; Bruno Lacarrière; Pierrick Haurant; Filip Johnsson; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; District heating networks; Electricity distribution networks; Extended energy hub approach; Integrated load flow study; Integrated optimal power flow; Multi-carrier energy networks; Multi-energy system; Optimal placement; Thermal storage.; Hub énergétique étendu; Flux de charges; Flux de puissances intégrées optimaux; Réseaux énergétiques multi-vecteurs; Système multi-énergies; Placement optimal.; Fjärrvärmenät; Elektricitetsdistributionsnät; Utökad strategi för energihub; Integrerad belastningsstudie; Integrerat optimalt effektflöde; Energinät med flera bärare; Multi-energisystem; Optimal placering; Termisk lagring.; Energy Technology; Energiteknik;

    Sammanfattning : Recent literature shows that there is a significant potential of decarbonisation and efficiency improvement that can be achieved through the synergy from multi-energy systems (MESs). Coupling technologies, such as co-generation plants, heat pumps and thermal storages are widely recommended as means of unlocking additional flexibility and increasing the penetration of renewables in the heating and electricity sectors. LÄS MER

  7. 5. Synergies between Chemometrics and Machine Learning

    Författare :Rickard Sjögren; Johan Trygg; Olivier Cloarec; Ola Spjuth; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; computational science; machine learning; chemometrics; multivariate data analysis; design of experiments; data science; beräkningsvetenskap; maskininlärning; kemometri; multivariat dataanalys; experimentdesign;

    Sammanfattning : Thanks to digitization and automation, data in all shapes and forms are generated in ever-growing quantities throughout society, industry and science. Data-driven methods, such as machine learning algorithms, are already widely used to benefit from all these data in all kinds of applications, ranging from text suggestion in smartphones to process monitoring in industry. LÄS MER