LEADER 06099nam 22006975 450 001 9910734825303321 005 20230621061737.0 010 $a3-031-28855-6 024 7 $a10.1007/978-3-031-28855-5 035 $a(MiAaPQ)EBC30604788 035 $a(Au-PeEL)EBL30604788 035 $a(DE-He213)978-3-031-28855-5 035 $a(PPN)272260592 035 $a(CKB)27152773400041 035 $a(EXLCZ)9927152773400041 100 $a20230621d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMicrobiota from the Late Cretaceous-Early Palaeocene Boundary Transition in the Deccan Intertrappean Beds of Central India $eSystematics and Palaeoecological, Palaeoenvironmental and Palaeobiogeographical Implications /$fby Ashu Khosla, Omkar Verma, Sachin Kania, Spencer Lucas 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (292 pages) 225 1 $aTopics in Geobiology ;$v54 311 08$aPrint version: Khosla, Ashu Microbiota from the Late Cretaceous-Early Palaeocene Boundary Transition in the Deccan Intertrappean Beds of Central India Cham : Springer International Publishing AG,c2023 9783031288548 320 $aIncludes bibliographical references and index. 327 $aChapter1. Introduction to Indian Late Cretaceous-Early Palaeocene Microbiota from the Deccan Intertrappean Beds of the Chhindwara District, Madhya Pradesh, India -- Chapter 2. Historical Background of Late Cretaceous-Early Palaeocene Microbiotic Assemblages from the Deccan Intertrappean Beds of the Chhindwara District, Madhya Pradesh, India -- Chapter 3. Geology and Stratigraphy of Microbiota-Bearing Deccan Intertrappean Beds of the Chhindwara District, Madhya Pradesh, India -- Chapter 4. Indian Late Cretaceous-Early Palaeocene Deccan Microbiota from Chhindwara District, Madhya Pradesh: Systematic Studies -- Chapter 5 Palaeoecological and Palaeoenvironmental Implications of the Cretaceous-Palaeogene Microbiota-Bearing Deccan Intertrappean beds of the Chhindwara District, Madhya Pradesh, India -- Chapter 6. Palaeobiogeographical Implications of Late Cretaceous-Early Palaeocene Microbiota from the Deccan Intertrappean beds of the Chhhindwara District, Madhya Pradesh, India. 330 $aThis book describes the microbiota of the intertrappean beds in the Chhindwara District, Madhya Pradesh, India. In this work, special emphasis is placed on the microbiota from the Late Cretaceous-Early Palaeocene transition of the central Narmada River region. Recently, the intertrappean beds of the Eastern Deccan Volcanic Province (one of the subprovinces of the Deccan Volcanic Province) have received considerable attention, which resulted in the addition of some significant biotic assemblages to the existing record from the Dindori-Chhindwara area of the province. The biotic assemblages include charophytes, ostracods, foraminiferans, fishes, frogs, lizards, turtles, crocodiles, and mammals. In spite of the recent discoveries, the known fossil record of the Late Cretaceous-Early Palaeocene biota of India is not sufficient and thus does not permit us to speculate on the possible impact of environmental changes triggered by the Deccan volcanic lava flows on the contemporary biota and to precisely document their palaeoecologic, palaeoenvironmental and palaeobiogeographic implications. The recent biotic reports from the intertrappean beds exposed in the Chhindwara region of the Eastern Deccan Volcanic Province clearly indicate that these beds have a vast potential in terms of fossil content, which could reveal new and dissimilar biotic remains when compared to the Western Deccan Volcanic Province. The record of diverse accumulations of freshwater charophytes, brackish to freshwater ostracods, and planktic foraminiferal and fish assemblages from the intertrappean beds of Jhilmili and adjacent areas of Early Danian (P1a) age and lying just north of Chhindwara town and in the heart of peninsular India has intriguing implications for defining the age limits of the basaltic flows. The occurrence of non-marine taxa, for example, algae, molluscs, and vertebrates, associated with brackish water ostracods in the nearby Singpur and Mohgaon Kalan localities of the Chhindwara region, has also raised concerns about the sedimentary environments of these intertrappean beds. The new finds (presented in this book) prove useful for the better understanding of the palaeoecology and palaeoenvironment of the biota and also throw light on various paleobiogeographic models proposed for the northward drifting Indian plate. The microbiotic assemblages of the intertrappean beds of the eastern Deccan volcanic province at District Chhindwara, Madhya Pradesh are documented in this book. The microbiota of the central Narmada River region, the charophytes, ostracods, planktic foraminifera, and fishes, receive special attention in this study. 410 0$aTopics in Geobiology ;$v54 606 $aPaleoecology 606 $aPaleontology 606 $aBioinformatics 606 $aArchaeology 606 $aEarth sciences 606 $aPaleoecology 606 $aPaleontology 606 $aComputational and Systems Biology 606 $aArchaeology 606 $aEarth Sciences 615 0$aPaleoecology. 615 0$aPaleontology. 615 0$aBioinformatics. 615 0$aArchaeology. 615 0$aEarth sciences. 615 14$aPaleoecology. 615 24$aPaleontology. 615 24$aComputational and Systems Biology. 615 24$aArchaeology. 615 24$aEarth Sciences. 676 $a561.09548 676 $a561.09548 700 $aKhosla$b Ashu$0888930 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910734825303321 996 $aMicrobiota from the late cretaceous-early palaeocene boundary transition in the deccan intertrappean beds of Central India$93553092 997 $aUNINA LEADER 05198nam 22006255 450 001 9910299896903321 005 20200704080731.0 010 $a3-319-64063-1 024 7 $a10.1007/978-3-319-64063-1 035 $a(CKB)4100000000586796 035 $a(DE-He213)978-3-319-64063-1 035 $a(MiAaPQ)EBC5592300 035 $a(PPN)204534097 035 $a(EXLCZ)994100000000586796 100 $a20170913d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNEO 2016 $eResults of the Numerical and Evolutionary Optimization Workshop NEO 2016 and the NEO Cities 2016 Workshop held on September 20-24, 2016 in Tlalnepantla, Mexico /$fedited by Yazmin Maldonado, Leonardo Trujillo, Oliver Schütze, Annalisa Riccardi, Massimiliano Vasile 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XIII, 282 p. 146 illus., 124 illus. in color.) 225 1 $aStudies in Computational Intelligence,$x1860-949X ;$v731 311 $a3-319-64062-3 320 $aIncludes bibliographical references and index. 327 $aPart I: Smart Cities -- Defensive Driving Strategy and Control for Autonomous Ground Vehicle in Mixed Traf?c -- Augmenting the LSA Technique to Evaluate Ubicomp Environments -- Mixed Integer Programming Formulation for the Energy-Ef?cient Train Timetables Problem -- Distributing Computing in the Internet of Things: Cloud, Fog and Edge Computing Overview -- Part II: Search, Optimization and Hybrid Algorithms -- Integer Programming Models and Heuristics for Non-Crossing Euclidean 3-Matchings -- A Multi-Objective Robust Ellipse Fitting Algorithm -- Gradient-Based Multiobjective Optimization with Uncertainties -- A New Local Search Heuristic for the Multidimensional Assignment Problem -- Part III: Electronics and Embedded Systems --  A Multi-Objective and Multidisciplinary Optimisation Algorithm for Microelectromechanical Systems -- Coef?cients Estimation of MPM through LSE, ORLS and SLS for RF-PA Modeling and DPD -- Optimal Sizing of Ampli?ers by Evolutionary Algorithms with Integer Encoding and gm/ID Design Method -- Index.  . 330 $aThis volume comprises a selection of works presented at the Numerical and Evolutionary Optimization (NEO 2016) workshop held in September 2016 in Tlalnepantla, Mexico. The development of powerful search and optimization techniques is of great importance in today?s world and requires researchers and practitioners to tackle a growing number of challenging real-world problems. In particular, there are two well-established and widely known ?elds that are commonly applied in this area: (i) traditional numerical optimization techniques and (ii) comparatively recent bio-inspired heuristics. Both paradigms have their unique strengths and weaknesses, allowing them to solve some challenging problems while still failing in others. The goal of the NEO workshop series is to bring together experts from these and related ?elds to discuss, compare and merge their complementary perspectives in order to develop fast and reliable hybrid methods that maximize the strengths and minimize the weaknesses of the underlying paradigms. In doing so, NEO promotes the development of new techniques that are applicable to a broader class of problems. Moreover, NEO fosters the understanding and adequate treatment of real-world problems particularly in emerging ?elds that affect all of us, such as healthcare, smart cities, big data, among many others. The extended papers presented in the book contribute to achieving this goal.   . 410 0$aStudies in Computational Intelligence,$x1860-949X ;$v731 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aOptical data processing 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22005 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aOptical data processing. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 676 $a519.3 702 $aMaldonado$b Yazmin$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTrujillo$b Leonardo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSchütze$b Oliver$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRiccardi$b Annalisa$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aVasile$b Massimiliano$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299896903321 996 $aNEO 2016$92501311 997 $aUNINA