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Titlebook: Clinical Cases in Primary Immunodeficiency Diseases; A Problem-Solving Ap Asghar Aghamohammadi,Nima Rezaei Book 20121st edition Springer-Ve

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樓主: 力學(xué)
11#
發(fā)表于 2025-3-23 12:03:08 | 只看該作者
management. Each of the numbered cases is followed by the questions, their answers, and additional discussion. Each question focuses on a particular aspect of the PID under consideration, and the topics covered include clinical diagnosis, laboratory findings, molecular mechanisms, and therapy..978-3-642-44423-4978-3-642-31785-9
12#
發(fā)表于 2025-3-23 17:21:58 | 只看該作者
13#
發(fā)表于 2025-3-23 21:50:14 | 只看該作者
14#
發(fā)表于 2025-3-23 23:41:04 | 只看該作者
15#
發(fā)表于 2025-3-24 03:17:12 | 只看該作者
Javier ProtzelIn II, 1 we have accepted for temporary purposes a definition of an algebraic system . of curves . on a surface ., as a system cut out on . by an algebraic system .. of hypersurfaces. It will serve as a preliminary clarifying remark if we point out immediately why that definition is not sufficiently general.
16#
發(fā)表于 2025-3-24 08:04:41 | 只看該作者
Denise RazzoukA book intended to mental health professionals and researchers.Comprehensive perspective of methods, instruments, evaluation and costs in mental health services.Cost-effectiveness evaluation of specif
17#
發(fā)表于 2025-3-24 13:42:32 | 只看該作者
18#
發(fā)表于 2025-3-24 16:28:52 | 只看該作者
https://doi.org/10.1007/978-981-15-9227-0isual design element of interface into brand image, so that brand image can be implanted in user’s psychological level. To a certain extent, it can affect consumers’ purchasing psychology and purchase behavior, and create more substantial economic benefits for the enterprises.
19#
發(fā)表于 2025-3-24 21:19:51 | 只看該作者
Rules and Defeasible Reasoning on the Semantic Web,ffer a lot for the Semantic Web. In particular, they allow a simple treatment of defeasible reasoning, which is essential for being able to capture many forms of commonsense policies and specifications.
20#
發(fā)表于 2025-3-25 00:54:49 | 只看該作者
Francisco Facchinei,Jong-Shi Pangment, finding useful information from a huge amount of available content becomes a time consuming process. In this paper, we focus on user modeling for personalization to recommend content relevant to user interests. We exploit the data mining techniques for identifying useful and meaningful pattern
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