的事物
发表于 2025-3-25 06:21:59
2190-5053 ures.Over the past thirty years, the liquefaction of sand containing a small amount of fine particles has become an engaging topic in the geotechnical community. Indeed, a great variety of field investigations revealed that the real liquefied soils are mainly composed of a host sand matrix and a sma
考得
发表于 2025-3-25 10:42:20
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LANCE
发表于 2025-3-25 11:42:39
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消耗
发表于 2025-3-25 16:51:42
Integration of Disease Entries Across OMIM, Orphanet, and a Proprietary Knowledge Baserful to automate the integration process. This paper reports our attempt to manually integrate disease entries spread across public disease databases, Online Mendelian Inheritance in Man and Orphanet, with a proprietary disease knowledge base. During the process, we identified that relations between
Diskectomy
发表于 2025-3-25 20:11:08
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Inexorable
发表于 2025-3-26 01:29:36
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recession
发表于 2025-3-26 06:08:15
Conservation of Biodiversity in India: Current Status and Future Strategiesatic zones ranging from subtropical, tropical, arctic, and temperate climatic conditions. The various climatic zones have produced diverse ecosystem types varying from the cold-deserts (Ladakh), humid tropical (Western ghats), and warm coastline to hot deserts (Rajasthan). The altitudinal gradients
同步左右
发表于 2025-3-26 11:47:57
0066-5452 r is progressively led to a general framework, suitable to f.This is a book on optimal control problems (OCPs) for partial differential equations (PDEs) that evolved from a series of courses taught by the authors in the last few years at Politecnico di Milano, both at the undergraduate and graduate
Mortal
发表于 2025-3-26 14:44:37
https://doi.org/10.1007/978-981-10-7107-2 by encoding NeTAs to the .. NeTAs provide a natural way to analyze the recursive behaviors of component-based timed systems with structure retained. We illustrate this advantage by the deadline analysis of nested interrupts.
resilience
发表于 2025-3-26 16:59:07
A Simulation Environment for Smart Charging of Electric Vehicles Using a Multi-objective Evolutionar factors have to be considered when creating charging schedules. In this paper, we present the design of a simulation environment, which produces charging schedules using a multi-objective, evolutionary optimization algorithm.