省略
发表于 2025-3-27 00:23:06
Computer Technology and the Teaching of Geometry,merical, graphical and symbolic). But the potentialities are most striking in geometry, especially in connection with so-called dynamic geometry software. Explorations can be achieved which otherwise are either inaccessible, or accessible through inordinate efforts.
LASH
发表于 2025-3-27 01:25:47
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追踪
发表于 2025-3-27 08:47:19
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分开如此和谐
发表于 2025-3-27 09:44:18
M. P. Siegenthaler,R. Gutwald,R. Schmelzeisen,F. Beyersdorfmes, such as the relation of mathematics to the development of the educational system. Some scholars have begun to apply the methods of historical sociology of knowledge to mathematics; others have attempted to give a ix x Marxist analysis of the connection between mathematics and productive forces,
Servile
发表于 2025-3-27 15:43:14
Fungal MACPF-Like Proteins and Aegerolysins: Bi-component Pore-Forming Proteins?membranes with high cholesterol and sphingomyelin content. The aegerolysin-like proteins provide the membrane cholesterol/sphingomyelin selectivity and recruit oligomerised pleurotolysin B molecules, to create a membrane-inserted pore complex. The resulting protein structure has been imaged with ele
幻想
发表于 2025-3-27 19:50:05
, a Lightweight Edge Computing for Real-Time Monitoring in Smart Environmentsand scalability. The design of the current version of the . is based on knowledge from several home experiments. The proposed model is validated by comparing the performances of the . with a version based on a classic AAL solution.
insert
发表于 2025-3-28 01:56:59
A Methodology of Analysis and Certain Key-concepts,quite alien in legal theory to use, as done in this work, an ideal-type methodology to penetrate the complex reality represented by more than 100 years of legal-theoretical discussions as to the issue of the law and politics.
colony
发表于 2025-3-28 05:57:36
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革新
发表于 2025-3-28 10:13:27
Genesis of Organic Computing Systems: Coupling Evolution and Learning,l systems. It is demonstrated how neural structures can be evolved that efficiently learn solutions for problems from a particular problem class. Simple examples of systems that “learn to learn” as well as technical solutions for the design design of turbomachinery components are presented.