06024nam 2201393z- 450 991056648420332120220506(CKB)5680000000037537(oapen)https://directory.doabooks.org/handle/20.500.12854/80995(oapen)doab80995(oapen)80995(EXLCZ)99568000000003753720202205d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierReconnecting People with Nature through AgricultureBaselMDPI - Multidisciplinary Digital Publishing Institute20221 online resource (242 p.)3-0365-3855-0 3-0365-3856-9 An increasing number of people live in cities. In recent decades, this, combined with rural abandonment and landscape polarisation, has resulted in high land ownership concentrations and agricultural intensification. This, in turn, has resulted in a significant decrease in the resilience of agriculture and overall food systems and threatens the maintenance of traditional indigenous and peasant farming. Therefore, there is an urgent need to reconnect society with the sustainable use of agroecosystems by fostering resilient social-ecological systems, emphasising the links between the functioning of natural systems and human well-being, and stressing the benefits that people derive from them. This Special Issue aims to highlight impactful research and commentaries that focus on attempts to connect people with nature for the promotion of sustainable agricultural transitions. This Issue embraces inter- and trans-disciplinary studies from multiple disciplines (e.g., agricultural sciences, environmental sciences, geography, economy, and sociology), as well as those incorporating other knowledge systems (e.g., local and indigenous) in the co-construction of knowledge for sustainable agriculture, including studies in rural areas (e.g., GIAHS or HNV farmland) and initiatives that address urban-rural relationships or those developed within metropolitan areas (e.g., community-supported agriculture, food hubs, domestic gardens, multifunctional agriculture, and farmers´ or consumers´ cooperatives) and studies assessing the societal and ecological impacts of those initiatives.Research & information: generalbicsscResearch and information: generalbicsscadoptionsagricultural diversificationagricultural innovationsagricultural knowledge and innovation systems (AKIS)agricultural landscapesagricultureagroecologyalternative agri-food networks (AAFNs)alternative food networksbiodiversitybiological controlcity-regionclimate changecollective actioncommunity supported agriculturecommunity-supported agriculture (CSA)conservationconservative agriculture practicesconsumers/citizenscooperativescross-national case studycultural landscapesdemanddepopulationdouble-hurdle modeldrivers of changeecological agricultureecosystem servicesfood planningfood policyfood self-sufficiencyfood systems governancefoodshed archipelagogreenhouseshuman nature connectednesshuman-nature connectednesshuman-nature connectedness (HNC)human-nature reconnectioninclusive multilateralisminnovative business modelsintegrated pest managementinterpretative structural modelingknowledge co-productionland uselandscape planninglandscape stewardshiplocal identitymediterranean horticulturemixed methodsmulti-level perspectivemulti-level perspective (MLP)n/anatureparticipatory governanceparticipatory mappingPGISpond naturalisationproximity food supply chainspublic policyregional food securityregional food systemrelational proximityrights-based approachrural abandonmentrural-urban interactionsocio-ecological systemssocioecological systemssoil healthSpainspatial proximityspatial signaturestakeholder inclusionsustainability transitionssustainable agricultural transitionsustainable agriculturesustainable consumptionthreatened planturban growthwater conservationworld heritage siteyouthResearch & information: generalResearch and information: generalVicente-Vicente José Luisedt0Quintas-Soriano CristinaedtLópez-Rodríguez María DedtVicente-Vicente José LuisothQuintas-Soriano CristinaothLópez-Rodríguez María DothBOOK9910566484203321Reconnecting People with Nature through Agriculture3027009UNINA04903nam 22006255 450 991080011730332120260908223539.03-031-48295-610.1007/978-3-031-48295-3(MiAaPQ)EBC31065858(Au-PeEL)EBL31065858(DE-He213)978-3-031-48295-3(CKB)29575818500041(OCoLC)1419056936(EXLCZ)992957581850004120240111d2023 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierMathematical Principles in Bioinformatics /by Stephen S.-T. Yau, Xin Zhao, Kun Tian, Hongyu Yu1st ed. 2023.Cham :Springer Nature Switzerland :Imprint: Springer,2023.1 online resource (177 pages)Interdisciplinary Applied Mathematics,2196-9973 ;58Print version: Yau, Stephen S. -T. Mathematical Principles in Bioinformatics Cham : Springer,c2024 9783031482946 Preface -- 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.This 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.Interdisciplinary Applied Mathematics,2196-9973 ;58BioinformaticsMathematicsBioinformaticsApplications of MathematicsBioinformàticathubAplicacions (Matemàtica)thubLlibres electrònicsthubBioinformatics.Mathematics.Bioinformatics.Applications of Mathematics.BioinformàticaAplicacions (Matemàtica)570.285Yau Stephen Shing-Toung1594181Zhao Xin1287691Tian Kun1338612Yu Hongyu1587107MiAaPQMiAaPQMiAaPQBOOK9910800117303321Mathematical Principles in Bioinformatics4879607UNINA