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281
The spirit of the hive : the mechanisms of social evolution
Published 2013Table of Contents: “…The regulatory architecture of pollen hoarding -- 9.1. Loading algorithms -- 9.2. Heritability of the pollen-hoarding syndrome -- 9.3. …”
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282
Stochastic optimization models in finance
Published 1975Table of Contents: “…The Main Theorem and an Algorithm; V. Nonterminating Processes; ACKNOWLEDGMENT; REFERENCES; CHAPTER5. …”
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283
A cabinet of philosophical curiosities : a collection of puzzles, oddities, riddles, and dilemmas
Published 2016Table of Contents: “…; Descartes's Disappearance; The Most Fairly Distributed Good; Fairness Framed; Towards a Fairer Share of Dishwashing; What the Dishwasher Missed; Developmental Self-Defeat; Random Quiz; Enforcing Gresham's Law; Gresham's Law of Numbers; Laziest Reductio.…”
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284
Adventures in Authentic Learning : 21 Step-by-Step Projects From an Edtech Coach.
Published 2020Table of Contents: “…Lesson Plans -- Lesson Plan 2.1 PechaKucha Presentations -- Lesson Plan 2.2 Life Cycles Jigsaw Research Project -- Lesson Plan 2.3 Math Jigsaw Project -- Lesson Plan 2.4 Student-Created Tutorial Videos -- Coach's Connection -- CHAPTER 3: Collaborate for Success -- Some Lesser-Known Educator Sharing Tools -- Enhance Projects with Content Experts -- Provide an Authentic Audience -- Engaging Students in Peer Review -- Lesson Plans -- Lesson Plan 3.1 Algorithmic Thinking Project -- Lesson Plan 3.2 Pick Your Path Stories -- Lesson Plan 3.3 Invent It Challenge…”
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285
Pediatric incontinence : evaluation and clinical management
Published 2015Full text (MFA users only)
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286
Corporate strategy for dramatic productivity surge
Published 2013Table of Contents: “…Instantaneous and spontaneous information sharing / Hiromichi Yasuoka -- ch. 7. The development of a three-minute battery charger / Toru Fujii -- ch. 8. …”
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287
Accelerating MATLAB with GPU computing : a primer with examples
Published 2014Full text (MFA users only)
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288
Discovering knowledge in data : an introduction to data mining
Published 2014Table of Contents: “…DISCOVERING KNOWLEDGE IN DATA -- Contents -- Preface -- 1 An Introduction to Data Mining -- 1.1 What is Data Mining? -- 1.2 Wanted: Data Miners -- 1.3 The Need for Human Direction of Data Mining -- 1.4 The Cross-Industry Standard Practice for Data Mining -- 1.4.1 Crisp-DM: The Six Phases -- 1.5 Fallacies of Data Mining -- 1.6 What Tasks Can Data Mining Accomplish? …”
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289
Clinical simulation : operations, engineering and management
Published 2008Table of Contents: “…; 3.5 The Systems Approach to Training; 3.6 Defining the Performance Requirement; 3.7 Cost Versus Value Added; 3.8 Operations Cost; 3.9 Standardization: What is it, and who Wants it?; 3.10 Patients as Training Conditions; 3.11 Equipment as Training Conditions; 3.12 Increase in Training System Cost; 3.13 You as the Leader-Manager; 3.14 Conclusion; Endnotes; Topic II What's In It For Me.…”
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290
Digitalization of Society and Socio-Political Issues. 1, Digital, Communication, and Culture
Published 2019Table of Contents: “…The Digitalization of Cultural Policies in France 149; Anne BELLON 14.1.…”
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291
Tumor board review : guideline and case reviews in oncology
Published 2015Full text (MFA users only)
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292
Concise encyclopaedia of bioinformatics and computational biology 2e
Published 2014Table of Contents: “….; Akaike Information Criterion; Pedro Larranaga and Concha Bielza; Algorithm; Matthew He; Alignment (Domain Alignment, Repeats Alignment); Jaap Heringa; Alignment Score; Laszlo Patthy; Allele-Sharing Methods (Non-parametric Linkage Analysis).…”
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293
Optimized cloud resource management and scheduling : theories and practice
Published 2015Full text (MFA users only)
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294
Open science by design : realizing a vision for 21st century research
Published 2018Full text (MFA users only)
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295
Integration of swarm intelligence and artificial neural network
Published 2011Full text (MFA users only)
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296
Large Scale Network-Centric Distributed Systems
Published 2014Full text (MFA users only)
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297
Machine Learning in Chemical Safety and Health : Fundamentals with Applications.
Published 2022Table of Contents: “…Chapter 3 Flammability Characteristics Prediction Using QSPR Modeling -- 3.1 Introduction -- 3.1.1 Flammability Characteristics -- 3.1.2 QSPR Application -- 3.1.2.1 Concept of QSPR -- 3.1.2.2 Trends and Characteristics of QSPR -- 3.2 Flowchart for Flammability Characteristics Prediction -- 3.2.1 Dataset Preparation -- 3.2.2 Structure Input and Molecular Simulation -- 3.2.3 Calculation of Molecular Descriptors -- 3.2.4 Preliminary Screening of Molecular Descriptors -- 3.2.5 Descriptor Selection and Modeling -- 3.2.6 Model Validation -- 3.2.6.1 Model Fitting Ability Evaluation -- 3.2.6.2 Model Stability Analysis -- 3.2.6.3 Model Predictivity Evaluation -- 3.2.7 Model Mechanism Explanation -- 3.2.8 Summary of QSPR Process -- 3.3 QSPR Review for Flammability Characteristics -- 3.3.1 Flammability Limits -- 3.3.1.1 LFLT and LFL -- 3.3.1.2 UFLT and UFL -- 3.3.2 Flash Point -- 3.3.3 Auto-ignition Temperature -- 3.3.4 Heat of Combustion -- 3.3.5 Minimum Ignition Energy -- 3.3.6 Gas-liquid Critical Temperature -- 3.3.7 Other Properties -- 3.4 Limitations -- 3.5 Conclusions and Future Prospects -- References -- Chapter 4 Consequence Prediction Using Quantitative Property-Consequence Relationship Models -- 4.1 Introduction -- 4.2 Conventional Consequence Prediction Methods -- 4.2.1 Empirical Method -- 4.2.2 Computational Fluid Dynamics (CFD) Method -- 4.2.3 Integral Method -- 4.3 Machine Learning and Deep Learning-Based Consequence Prediction Models -- 4.4 Quantitative Property-Consequence Relationship Models -- 4.4.1 Consequence Database -- 4.4.2 Property Descriptors -- 4.4.3 Machine Learning and Deep Learning Algorithms -- 4.5 Challenges and Future Directions -- References -- Chapter 5 Machine Learning in Process Safety and Asset Integrity Management -- 5.1 Opportunities and Threats -- 5.2 State-of-the-Art Reviews -- 5.2.1 Artificial Neural Networks (ANNs).…”
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298
Learning Geospatial Analysis with Python - Second Edition.
Published 2015Full text (MFA users only)
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299
Deep Learning with Pytorch Quick Start Guide : Learn to Train and Deploy Neural Network Models in Python.
Published 2018Full text (MFA users only)
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300
Millimeter-wave digitally intensive frequency generation in CMOS
Published 2015Full text (MFA users only)
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