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Titlebook: A Functional Biology of Free-Living Protozoa; Johanna Laybourn-Parry Book 1984 Johanna Laybourn-Parry 1984 Evolution.ecology.growth.physio

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樓主: SPIR
31#
發(fā)表于 2025-3-26 22:24:12 | 只看該作者
The Protozoan Cell,ses. It identifies the gaps between the requirements of enterprise knowledge consumption and “standard” data consuming technologies by analysing real-world use cases, and proposes the enterprise knowledge graph to fill such gaps..It provides concrete guidelines for effectively deploying linked-data
32#
發(fā)表于 2025-3-27 01:34:32 | 只看該作者
33#
發(fā)表于 2025-3-27 05:45:03 | 只看該作者
Movement,om one’s ability to break the rules, to look beyond the norms and to avoid mind-sets. In fact, many of the ideas about constraint relaxation presented in this book are themselves a result of constraint relaxation! As I recall, the hardest task in applying constraint relaxation to a problem is not th
34#
發(fā)表于 2025-3-27 10:17:29 | 只看該作者
Trophic Relations of Protozoa,ent of Energy were able to use truck mounted drilling rigs, relatively small fracking infrastructure, and horizontal drilling in innovative ways. Because natural gas hydrate (NGH) is found in deepwater, the available technology is inherently much more expensive. A much less expensive framework for e
35#
發(fā)表于 2025-3-27 15:29:36 | 只看該作者
36#
發(fā)表于 2025-3-27 19:00:51 | 只看該作者
37#
發(fā)表于 2025-3-27 23:36:17 | 只看該作者
Back Matterisciplinary approach.Includes supplementary material: .Gas hydrates are ice-like crystalline substances that form a rigid cage of water molecules and entrap hydrocarbon and non-hydrocarbon gas by hydrogen bonding. Natural gas hydrate is primarily composed of water and methane. These are solid, cryst
38#
發(fā)表于 2025-3-28 04:57:29 | 只看該作者
39#
發(fā)表于 2025-3-28 09:56:33 | 只看該作者
40#
發(fā)表于 2025-3-28 14:23:53 | 只看該作者
Sequential Recommendation via?Temporal Self-Attention and?Multi-Preference Learningti-preference matrix to learn users’ multiple types of preferences for improving recommendation diversity. Finally, the interest fusion module combines dynamic user interests (accuracy) and general user interests (diversity) adaptively. The experiments in sequential recommendation confirm our method
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