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2. Windows on the Universe: Establishing the Infrastructure for a Collaborative Multi-messenger Ecosystem
3. SGX Switchless Calls Made Configless
4. Algal-based Biopolymers
5. Critical Competencies for Leading Major Institutional Restructuring in Higher Education (Aka Big Scary Change)
6. Effects of elevated CO2 on the water hyacinth-biocontrol agent Megamelus scutellaris (Hemiptera: Delphacidae) and its yeast-like symbiotes
7. Rare earth element stripping from kaolin sands via mild acid treatment
8. Stripped: contribution of cyanobacterial extracellular polymeric substances to the adsorption of rare earth elements from aqueous solutions
9. Spirit Wars: Native North American Religions in the Age of Nation Building by Ronald Niezen (review)
10. Cover
11. Front Matter
12. ACKNOWLEDGMENTS
13. PREFACE
14. 1. INTRODUCTION: Why a Polytheistic Theology?
15. 7. ONE OR MANY: MONOTHEISTS’ MISPERCEPTIONS OF POLYTHEISM
16. 8. DIVERSITY AND ACCOMMODATION: HUMAN LIFE IN A POLYTHEISTIC MILIEU
17. 6. THE SEMINUMINOUS: CULTURE HEROES AND TRICKSTERS
18. 5. DIVINE GHOSTS: FUNCTIONAL DEITIES
19. 4. THE FAMILY DEIFIED: ANCESTRAL SPIRITS
20. 3. NUMINOUS NATURE: ANIMAL, PLANT, AND MINERAL SPIRITS
21. 2. THE COSMIC COUPLE: MOTHER EARTH AND FATHER SKY
22. INDEX
23. FURTHER READINGS
24. Index
25. 4. Previous Studies
26. Cover
27. 2. Phenomenology of the Mystic Experience
28. Preface
29. Title Page, Copyright
30. Acknowledgments
31. 3. The Varieties of Ecstatic Experience
32. 5. Ethnohermeneutics I: Non-West
33. 1. Introduction
34. Works Consulted
35. 7. Conclusions: The Mystic Experience and Human Nature
36. 6. Ethnohermeneutics II: West
37. Religions of China in Practice (review)
38. 9 Photosynthetic conversion of CO2 into bioenergy and materials using microalgae
39. Unaffected by the Gospel: Osage Resistance to the Christian Invasion 1673-1906: A Cultural Victory (review)
40. Deep Learning with TensorFlow Datasets
41. Stacked Autoencoders
42. Progressive Growing Generative Adversarial Networks
43. Increase the Diversity of Your Dataset with Data Augmentation
44. Time Series Forecasting with RNNs
45. TensorFlow 2.x in the Colaboratory Cloud
46. Regression
47. Generative Adversarial Networks
48. Working with Other Data
49. Simple Transfer Learning with TensorFlow Hub
50. Working with TensorFlow Data
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