喃喃而言 发表于 2025-3-25 05:18:45
http://reply.papertrans.cn/64/6385/638447/638447_21.pngMITE 发表于 2025-3-25 11:02:09
http://reply.papertrans.cn/64/6385/638447/638447_22.pngMediocre 发表于 2025-3-25 15:40:19
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Nucleus Segmentation Using K-Means Clustering for Analysis of Microscopy Images,in blood smear images helps to identify malignancy of the cells. The motive of this work is to perform color-based segmentation on the blood smear images. Primarily, these images are subjected to contrast stretching using dark contrast algorithm (DCA). This enhancement of the image increases the conconfide 发表于 2025-3-25 22:59:07
http://reply.papertrans.cn/64/6385/638447/638447_25.png马笼头 发表于 2025-3-26 02:28:59
http://reply.papertrans.cn/64/6385/638447/638447_26.pngTremor 发表于 2025-3-26 06:46:39
https://doi.org/10.1007/978-3-662-49337-3ng von Caprara, Barbaranelli und Guido (2001), dass sich aus einem Set von Merkmalen extrahierte Markenpersönlichkeitsfaktoren auch für die menschliche Persönlichkeit herausbilden sollen, wird ebenfalls thematisiert.提炼 发表于 2025-3-26 10:23:12
Reframing the Past and the Treatment of Existential Guilt and Regretorary CBT for regret and shame through the lens of applied Stoicism. In addition, a range of specific techniques borrowed from the treatment of obsessions will be shown to have potential in battling regret. Finally, the use of self-compassion, mindfulness and novel approaches for regret regulation will be explored.痴呆 发表于 2025-3-26 14:10:33
Generation of Hepatocytes from Pluripotent Stem Cells for Drug Screening and Developmental Modelingese cells are further matured in either two-dimensional or three-dimensional culture conditions to produce cells capable of metabolizing xenobiotics and generating liver-specific proteins, such as albumin and alpha 1 antitrypsin.歌剧等 发表于 2025-3-26 20:16:00
https://doi.org/10.1007/978-3-642-32661-5pepae9pg0FirpepeKkFr0xfr-xfr-xb9adbaqaaeGaciGaai% aabeqaamaabaabauaakeaadaqdaaqaaiaadMfaaaaaaa!400F!]]</EquationSource><EquationSource Format="TEX"><![CDATA[$$overline Y$$. The paper considers an approach—sample-dependent estimation—characterized by using the sample itself to resolve the problem.