HARP
发表于 2025-3-25 03:31:55
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食品室
发表于 2025-3-25 08:48:17
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草率女
发表于 2025-3-25 15:15:49
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臭名昭著
发表于 2025-3-25 18:36:26
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Implicit
发表于 2025-3-25 21:00:14
Henry Kaufmannsidered. However, in addition to these, the design and implementation of resections, which have no detailed clinical information, no histological diagnosis or no negative resection (R0) of the surgical margin under the microscope that is based on the anatomical location of the local tumor, are all
语源学
发表于 2025-3-26 03:39:57
Gill Gorell Barnesin the much more developed theory of hypergroups; it is also more oriented towards algebraic and topological ideas. A number of methods for constructing examples are given and the classification of the algebraic 2-valued group structures on the Riemann sphere is presented. We introduce the (purely a
怕失去钱
发表于 2025-3-26 07:54:42
Modeling of a three-axes MEMS gyroscope with feedforward PI quadrature compensationng an innovative feedforward PI quadrature compensation architecture. The gyroscopes structure is explained and equations of motion are written; modal shapes and frequencies are obtained by finite element simulations. Electrostatic quadrature compensation strategy is explained focusing on the design
反应
发表于 2025-3-26 08:32:30
,“Help me Chatbot!”: Customer-Brand Relationship in the Context of Tourism Chatbots,ar, it seeks to explain how perceived risk and trust of chatbots can enhance the customer experience and, consequently, increase brand passion. Data were collected from 253 French students, and the model was tested using SmartPLS. The results indicate that risk has a negative effect on experience, w
wall-stress
发表于 2025-3-26 13:02:10
Inertial Confinement Fusion,. Chapter 8 showed how we could create such conditions, which in turn makes possible the application of high-energy-density systems to the pursuit of various goals. This and the next chapter are much more focused on these goals. The goal that has been and remains dominant in high-energy-density rese
Pelvic-Floor
发表于 2025-3-26 17:51:13
Decision Tree Induction: Using Entropy for Attribute Selection,the size of the resulting trees for a number of datasets. The risk of obtaining decision trees that are entirely meaningless is highlighted, pointing to the importance of a good choice of attribute selection strategy. One of the most widely used strategies is based on minimising . (or equivalently m