LEADER 06233nam 22008295 450 001 9910300630203321 005 20250609111442.0 010 $a3-319-73105-X 024 7 $a10.1007/978-3-319-73105-6 035 $a(CKB)4100000001795253 035 $a(DE-He213)978-3-319-73105-6 035 $a(MiAaPQ)EBC5247421 035 $a(MiAaPQ)EBC6242161 035 $a(EXLCZ)994100000001795253 100 $a20180125d2018 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGovernance and Sustainability of Responsible Research and Innovation Processes $eCases and Experiences /$fby Fernando Ferri, Ned Dwyer, Sa?a Raicevich, Patrizia Grifoni, Husne Altiok, Hans Thor Andersen, Yiannis Laouris, Cecilia Silvestri 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XV, 99 p. 1 illus. in color.) 225 1 $aSpringerBriefs in Research and Innovation Governance,$x2452-0519 311 08$a3-319-73104-1 320 $aIncludes bibliographical references at the end of each chapters. 327 $aPart I. Governance, Public Engagement and Inclusion in the Responsible R&D and Innovation process -- Chapter 1. Implementing Responsible Research and Innovation in Research Funding and Research Conducting Organisations ? what Have We Learned So Far? -- Chapter 2. Case Studies for Responsible Innovation: Lessons from Fukushima -- Chapter 3. A Report from the Field: Doing RRI from Scratch in An Assisted Living Technology Research and Development Project -- Chapter 4. Responsible Research and Innovation in Open Health & Open Science -- Chapter 5. Inclusive Business Models and RRI: Insights from the ProGReSS Project -- Chapter 6. The Value of ?Measuring? RRI Performance in Industry -- Chapter 7. Responsible Research and Open Innovation in Geospatial Applications: Some Good Practices for Smart Communities -- Part II. Sustainability of RRI Processes -- Chapter 8. Responsible Research and (Open) Innovation to the Benefit of Human Kind: the Approach of Stati Generali dell?Innovazione -- Chapter 9. RRI Approach for Development and Acceptance of Novel Fish Feed Formulations in Aquaculture -- Chapter 10. The MARINA Project: Promoting Responsible Research and Innovation to Meet Marine Challenges -- Chapter 11. A Hermeneutic Reflection on the Paradigm-level Assumptions Underlying RRI -- Chapter 12. Humanitarian Laboratory for Syrian Crisis Transformation -- Chapter 13. Responsible Innovation and Circular Economy: Common Themes and Missed Opportunities -- Chapter 14. Responsible Innovation: A New Approach to Address the Theoretical Gaps for Innovating in Emerging E-mobility Sector. 330 $aThis book provides methods and practical cases and experiences with the aim of stimulating Responsible Research and Innovation (RRI) through the direct engagement of researchers, Civil Society Organisations (CSOs), citizens, industry stakeholders, policy and decision makers, research funders and communicators. The book furthermore aims to advance debate on Responsible Research and Innovation and also to reinforce the RRI community identity. With chapters covering governance, public engagement and inclusion in responsible R&D and innovation processes; RRI actions in science education and communication; gender and ethical issues in RRI initiatives; and sustainability of RRI processes, the book is solidly part of the Europe 2020 strategy to promote a vision for a stronger collaborations between social, natural and physical scientists and the societal actors for a wider dimensions of science and innovation and the role in environmental preservation. 410 0$aSpringerBriefs in Research and Innovation Governance,$x2452-0519 606 $aResearch?Moral and ethical aspects 606 $aManagement 606 $aIndustrial management 606 $aScience$xStudy and teaching 606 $aGender identity in education 606 $aEconomic policy 606 $aEcology 606 $aResearch Ethics$3https://scigraph.springernature.com/ontologies/product-market-codes/E14040 606 $aInnovation/Technology Management$3https://scigraph.springernature.com/ontologies/product-market-codes/518000 606 $aScience Education$3https://scigraph.springernature.com/ontologies/product-market-codes/O27000 606 $aGender and Education$3https://scigraph.springernature.com/ontologies/product-market-codes/O45000 606 $aR & D/Technology Policy$3https://scigraph.springernature.com/ontologies/product-market-codes/W43000 606 $aEnvironment, general$3https://scigraph.springernature.com/ontologies/product-market-codes/U00009 615 0$aResearch?Moral and ethical aspects. 615 0$aManagement. 615 0$aIndustrial management. 615 0$aScience$xStudy and teaching. 615 0$aGender identity in education. 615 0$aEconomic policy. 615 0$aEcology. 615 14$aResearch Ethics. 615 24$aInnovation/Technology Management. 615 24$aScience Education. 615 24$aGender and Education. 615 24$aR & D/Technology Policy. 615 24$aEnvironment, general. 676 $a304.2072 700 $aFerri$b Fernando$4aut$4http://id.loc.gov/vocabulary/relators/aut$0884247 702 $aDwyer$b Ned$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aRaicevich$b Sa?a$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aGrifoni$b Patrizia$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aAltiok$b Husne$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aAndersen$b Hans Thor$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aLaouris$b Yiannis$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aSilvestri$b Cecilia$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910300630203321 996 $aGovernance and Sustainability of Responsible Research and Innovation Processes$91974533 997 $aUNINA LEADER 04694nam 22005655 450 001 9910800117303321 005 20251009100806.0 010 $a3-031-48295-6 024 7 $a10.1007/978-3-031-48295-3 035 $a(MiAaPQ)EBC31065858 035 $a(Au-PeEL)EBL31065858 035 $a(DE-He213)978-3-031-48295-3 035 $a(CKB)29575818500041 035 $a(OCoLC)1419056936 035 $a(EXLCZ)9929575818500041 100 $a20240111d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMathematical Principles in Bioinformatics /$fby Stephen S.-T. Yau, Xin Zhao, Kun Tian, Hongyu Yu 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (177 pages) 225 1 $aInterdisciplinary Applied Mathematics,$x2196-9973 ;$v58 311 08$aPrint version: Yau, Stephen S. -T. Mathematical Principles in Bioinformatics Cham : Springer,c2024 9783031482946 327 $aPreface -- 1 Biological Overview -- 2 Bioinformatics Databases -- 3 Sequence Alignment -- 4 The Time-Frequency Spectral Analysis and Applications in Bioinformatics -- 5 Graphical Representation of Sequences and Its Application -- 6 The Development and Applications of the Natural Vector Method -- 7 Convex Hull Principle and Distinguishing Proteins from Arbitrary Amino Acid Sequences -- 8 New Features or Metric on Sequence Comparison -- References. 330 $aThis textbook introduces bioinformatics to students in mathematics with no biology background assumed and it provides solid mathematical tools for biology students along with an understanding of how to implement them in bioinformatics problems. In addition to the basics, the text offers new approaches to understanding biological sequences. The concise presentation distinguishes itself from others on the subject, discussing and providing principles that relate to current open problems in bioinformatics as well as considering a variety of models. The convex hull principle is highlighted, opening a new interdisciplinary research area at the intersection of biology, mathematics, and computer science. Prerequisites include first courses in linear algebra, probability and statistics, and mathematical analysis. Researchers in mathematics, biology, and math-biology, will also find aspects of this text useful. This textbook is written based on the authors' research works that have beenpublished in various journals along with the lecture notes used when teaching bioinformatics courses at the University of Illinois at Chicago and at Tsinghua University. The content may be divided into two parts. The first part includes three chapters, introducing some basic concepts. Chapter 1 provides biological background in molecular biology for mathematicians. Chapter 2 describes biological databases that are commonly used. Chapter 3 is concerned with alignment methods including global/local alignment, heuristic alignment, and multiple alignment. The second part consisting of five chapters, describes several bioinformatics principles using a rigorous mathematical formulation. Chapter 4 introduces the time-frequency spectral principle and its applications in bioinformatics. In Chapters 5 and 6, two strategies are used, the graphical representation and the natural vector method, to represent biological sequences, and conduct sequence comparison and phylogenetic analysis without alignment. Chapter 7 presents the convex hull principle and shows how it can be used to mathematically determine whether a certain amino acid sequence can be a protein. The last chapter summarizes additional mathematical ideas relating to sequence comparisons, such as new feature vectors and metrics. This part focuses on the governing principle in biology and provides plenty of alignment-free methods, which cannot be found in any other book. 410 0$aInterdisciplinary Applied Mathematics,$x2196-9973 ;$v58 606 $aBioinformatics 606 $aMathematics 606 $aBioinformatics 606 $aApplications of Mathematics 615 0$aBioinformatics. 615 0$aMathematics. 615 14$aBioinformatics. 615 24$aApplications of Mathematics. 676 $a570.285 700 $aYau$b Stephen S. -T$01587106 701 $aZhao$b Xin$01287691 701 $aTian$b Kun$01338612 701 $aYu$b Hongyu$01587107 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910800117303321 996 $aMathematical Principles in Bioinformatics$93874454 997 $aUNINA