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Titlebook: Quantum Optics; Including Noise Redu Miguel Orszag Textbook 2024Latest edition The Editor(s) (if applicable) and The Author(s), under exclu

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11#
發(fā)表于 2025-3-23 13:42:31 | 只看該作者
Miguel Orszager and pancreas of birds and mammals in Europe, Africa, Asia, North, Central and South America. Information on the epidemiology, pathology, clinical aspects, diagnosis, treatment, control, prevention and economic impact of Dicrocoeliosis caused by ., Eurytrematodosis and Platynosomiosis have been in
12#
發(fā)表于 2025-3-23 14:24:55 | 只看該作者
13#
發(fā)表于 2025-3-23 19:23:53 | 只看該作者
14#
發(fā)表于 2025-3-23 23:35:52 | 只看該作者
Miguel Orszag the representatives of Diplostomidae and Strigeidae have three- or four-host life cycles in which vertebrates often serve not only as definitive but also as intermediate or paratenic hosts. Pathology is usually associated with migration of metacercariae and mesocercariae within the host tissues. Th
15#
發(fā)表于 2025-3-24 05:42:51 | 只看該作者
16#
發(fā)表于 2025-3-24 09:54:18 | 只看該作者
Miguel Orszagfor more training and guidance. The study suggests solutions, such as improved training and customisation of tools. Despite its positive outcomes, the study notes its limited generalisability and potential bias. It calls for further research, including quantitative and longitudinal studies, to asses
17#
發(fā)表于 2025-3-24 13:57:02 | 只看該作者
18#
發(fā)表于 2025-3-24 14:58:09 | 只看該作者
Miguel Orszagng-term patterns and new directions in artificial intelligence for digital assessments, as well as to answer the question of how generative artificial intelligence can support sustainable digital assessment models in higher education. The outcomes of this study aim to provide valuable insights for p
19#
發(fā)表于 2025-3-24 21:52:49 | 只看該作者
20#
發(fā)表于 2025-3-25 03:03:22 | 只看該作者
Miguel Orszag as text generation techniques leveraging OpenAI’s Davinci large language model. Our findings highlight the efficacy of memory-based approaches, particularly for non-English languages. We showcase the effectiveness of multilingual and cross-lingual LaBSE vectorization and the SONAR large language mo
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