街道 发表于 2025-3-21 16:13:18
书目名称Marine Protists影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0623996<br><br> <br><br>书目名称Marine Protists影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0623996<br><br> <br><br>书目名称Marine Protists网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0623996<br><br> <br><br>书目名称Marine Protists网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0623996<br><br> <br><br>书目名称Marine Protists被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0623996<br><br> <br><br>书目名称Marine Protists被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0623996<br><br> <br><br>书目名称Marine Protists年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0623996<br><br> <br><br>书目名称Marine Protists年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0623996<br><br> <br><br>书目名称Marine Protists读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0623996<br><br> <br><br>书目名称Marine Protists读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0623996<br><br> <br><br>确定方向 发表于 2025-3-21 22:52:25
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https://doi.org/10.1007/978-4-431-55130-0Aquatic ecosystem; Chemosynthetic ecosystem; Eukaryotic microorganism; Harmful algal bloom; Marine envirsebaceous-gland 发表于 2025-3-22 05:34:57
f the staining quality to the process parameters and thereby provides an optimal operating range for obtaining high-quality immunostains. We evaluate the proposed methodology on HER2-stained breast cancer tissues and demonstrate its use to define guidelines to optimize and standardize immunostainingscrutiny 发表于 2025-3-22 09:18:10
http://reply.papertrans.cn/63/6240/623996/623996_5.pngsepticemia 发表于 2025-3-22 14:43:09
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Yasuhiro Fukuda,Toshinobu Suzakiication layer to bit-stream encoding. The Standard is being extended and expanded in modular fashion to support new applications and incorporate new technology. An interface to other Information Systems provides for shared management of patient, procedure, and results information related to images.表两个 发表于 2025-3-22 21:30:17
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Takeshi Nakayamaork to supervise the student, and then propose feature-level KD that encourages the similarity of features between the teacher and student at multiple scales, which efficiently improves the segmentation performance of the student network. Experimental results demonstrate that our KD modules substant一起 发表于 2025-3-23 07:58:13
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