HAND
发表于 2025-3-21 16:59:31
书目名称Minimally Invasive Bariatric Surgery影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0634545<br><br> <br><br>书目名称Minimally Invasive Bariatric Surgery影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0634545<br><br> <br><br>书目名称Minimally Invasive Bariatric Surgery网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0634545<br><br> <br><br>书目名称Minimally Invasive Bariatric Surgery网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0634545<br><br> <br><br>书目名称Minimally Invasive Bariatric Surgery被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0634545<br><br> <br><br>书目名称Minimally Invasive Bariatric Surgery被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0634545<br><br> <br><br>书目名称Minimally Invasive Bariatric Surgery年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0634545<br><br> <br><br>书目名称Minimally Invasive Bariatric Surgery年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0634545<br><br> <br><br>书目名称Minimally Invasive Bariatric Surgery读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0634545<br><br> <br><br>书目名称Minimally Invasive Bariatric Surgery读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0634545<br><br> <br><br>
CANE
发表于 2025-3-21 23:54:28
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ethnology
发表于 2025-3-22 03:08:42
Springer-Verlag New York 2007
FUSE
发表于 2025-3-22 06:13:02
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Nonflammable
发表于 2025-3-22 10:57:20
https://doi.org/10.1007/978-0-387-68062-0Bariatric Surgery; Gastric Banding; Laparoscopic; Obesity; Surgery; endoscopy; abdominal surgery
苦笑
发表于 2025-3-22 16:11:09
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解脱
发表于 2025-3-22 17:54:50
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ostensible
发表于 2025-3-22 21:22:54
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一回合
发表于 2025-3-23 02:43:05
Nitric Oxide in The Kidney Direct measurements of bioavailable renal nitric oxide,ecessed NO microsensors for measurement of NO in the kidney cortex, whereas the hemoglobin-trapping technique seems to be more suitable for NO measurement in the renal medulla. Both methods are robust and reliable, and we discuss advantages and shortcomings of each method.
凌辱
发表于 2025-3-23 09:14:13
https://doi.org/10.1057/9780230598829lgorithms. It is shown that the solution of KM algorithms can be transformed into the solution of root-finding problems, and that the iteration formula in KM algorithms is equivalent to the Newton-Raphson root-finding method in numerical analysis. New iteration formulas are summarized that accelerat