03948oam 2200673 450 991015022320332120230802002838.01-283-54147-597866138539290-273-76502-7(CKB)3360000000434674(StDuBDS)AH25270905(SSID)ssj0000759724(PQKBManifestationID)12378783(PQKBTitleCode)TC0000759724(PQKBWorkID)10800289(PQKB)10098159(MiAaPQ)EBC5174025(MiAaPQ)EBC5175968(MiAaPQ)EBC5832245(MiAaPQ)EBC5138612(MiAaPQ)EBC6399045(Au-PeEL)EBL5138612(CaONFJC)MIL385392(OCoLC)1015884018(EXLCZ)99336000000043467420210428d2012 uy 0engur|||||||||||txtccrManagerial accounting decision making and performance management /Ray Proctor ; with contributions from Nigel Burton, Adrian Pierce and Gary BurmistonFourth edition.Harlow, Essex :Pearson Educaion Limited,2012.1 online resource (xxv, 613 p. ) col. illAlways learningIncludes index.0-273-76448-9 Includes bibliographical references and index.Dedication Introduction to the book for Instructors About the authors Acknowledgements Introduction to the book for students Part 1: Foundations 1 Cost behaviour 2 The difference between profit and cash Part 2: Financial Management 3 Ratio analysis and financial management 4 Working capital management Part 3: Decision Making 5 variable costing and breakeven analysis 6 Short-term decisions using variable costing 7 Short-term decisions using relevant costing 8 Capital investment appraisal for long-term decisions Part 4: Product costing and pricing 9 Product costs using absorption costing 10 Product costs using activity-based costing 11 Comparison of profits under absorption and variable costing 12 Pricing your products 13 Divisional performance and transfer pricing Part 5: Business Performance Management 14 Budgets and their creation 15 using budgets to control operations 16 Budgets, Behaviour and Beyond Budgeting 17 Balanced Scorecards 19 Performance Management Strategies Glossary Answers to end-of-chapter questions Appendix: Not-for-Profit Organisations IndexThe objective of this book is to make you a better manager by enabling you to understand and apply managerial accounting techniques effectively. The main topics are discussed in a logical order, often accompanied by an illustration of how each technique is applied. Answers to questions are given at the end of each chapter.Managerial Accounting teaches business students how to use accounting to make better decisions and improve performance. Engaging case studies and the popular Manager s Point of View boxes illustrate how concepts are applied in real world business situations. The latter add an extra dimension to your learning, as they are written by experienced practitioners of both management and accounting. With a minimum of technical language and a dedication to practical application, this popular text gives a refreshingly clear guide to management accounting.Always learning.Managerial accountingTextbooksBusiness planningTextbooksManagerial accountingBusiness planning658.1511Proctor Ray1263697Burton NigelPierce AdrianBurmiston GaryMiAaPQMiAaPQUtOrBLWBOOK9910150223203321Managerial accounting2962464UNINA04715nam 22005895 450 991103505330332120251029120436.0978303190450910.1007/978-3-031-90450-9(CKB)41826851400041(MiAaPQ)EBC32379566(Au-PeEL)EBL32379566(DE-He213)978-3-031-90450-9(EXLCZ)994182685140004120251029d2025 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierArtificial Intelligence for Molecular Biology Fundamental Methods and Applications /by Muhammad Nabeel Asim, Sheraz Ahmed, Andreas Dengel1st ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (844 pages)Biomedical and Life Sciences Series9783031904493 Fundamentals of Molecular Biology -- DNA, RNA & Protein Structures -- Exploration of AI-Driven Genomic and Proteomic Sequence Analysis Landscape -- Insights of Biological Databases -- DNA & RNA Sequence Representation Learning Methods -- Protein sequence Representation Learning Methods -- CRISPR System and AI applications.Molecular biology is at the forefront of scientific discovery, unraveling the intricacies of life at the most fundamental level. As biological systems become increasingly complex, AI has emerged as a pivotal tool for unlocking new insights and enhancing our understanding of these systems. This volume focuses on the core principles of molecular biology while introducing AI-driven approaches to genomic and proteomic sequence analysis. It serves as a foundation for integrating computational methodologies into the study of biological systems. The chapters in this volume are structured to provide a comprehensive overview of the essential concepts, tools, and methodologies in molecular biology, enriched by the latest advancements in AI: Fundamentals of Molecular Biology: This chapter delves into the foundational elements of molecular biology, exploring the central dogma, gene expression regulation, cellular organization, and the evolution of genome studies. DNA, RNA, & Protein Structures: This chapter outlines their fundamental properties and sets the stage for discussing AI-driven sequence analysis. Exploration of AI-Driven Genomic and Proteomic Sequence Analysis Landscape: This section provides an in-depth look at how AI is reshaping the field of sequence analysis. Topics include representation learning, feature engineering, predictive modeling, and an evaluation of performance metrics for AI-driven pipelines. Insights of Biological Databases: This chapter discusses the structure, organization, and utilization of key databases, emphasizing data formats, redundancy issues, and retrieval systems. DNA & RNA Sequence Representation Learning Methods: This chapter explores various encoding methods, from nucleotide distributions to Fourier transformations, providing a robust toolkit for researchers. Protein Sequence Representation Learning Methods: This section details diverse methodologies, including physicochemical properties, z-scales, and context-aware encodings. CRISPR System and AI Applications: This chapter examines AI-driven approaches to CRISPR-related tasks, from predictive modeling to dataset development, emphasizing the synergy between these transformative technologies. Through this volume, readers will gain a solid understanding of molecular biology and its convergence with AI. The interdisciplinary approach ensures that the biological complexities are complemented by computational rigor, laying the groundwork for the second volume, which delves deeper into advanced AI applications in molecular biology. .Biomedical and Life Sciences SeriesArtificial intelligenceMedical informaticsMolecular biologyArtificial IntelligenceHealth InformaticsMolecular BiologyArtificial intelligence.Medical informatics.Molecular biology.Artificial Intelligence.Health Informatics.Molecular Biology.572.8028563Nabeel Asim Muhammad1854581Ahmed Sheraz1854582Dengel Andreas597817MiAaPQMiAaPQMiAaPQBOOK9911035053303321Artificial Intelligence for Molecular Biology4451917UNINA