找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Reviews of Physiology, Biochemistry and Pharmacology; Volume: 100 Book 1984 The Editor(s) (if applicable) and The Author(s), under exclusi

[复制链接]
楼主: 补给线
发表于 2025-3-25 06:24:19 | 显示全部楼层
Rolf Nafzigerrenchymal renal destruction by bacteria leading to small, shrunken kidneys and end stage renal failure. The diagnosis and pathogenesis are easy if there is some demonstrable abnormality of the urinary tract giving rise to a history and bacteriological evidence of repeated attacks of urinary infectio
发表于 2025-3-25 11:34:34 | 显示全部楼层
发表于 2025-3-25 14:28:31 | 显示全部楼层
发表于 2025-3-25 17:17:12 | 显示全部楼层
Diagnostic and Prognostic Performance of Liquid Biopsy in Hepatocellular Carcinoma,d stage and are no longer candidates for curative treatment. Molecular characterization of the tumor would presumably provide valuable insights for developing novel treatments, but tissue samples are difficult to obtain, especially for nonsurgical patients. Therefore, liquid biopsy represents a noni
发表于 2025-3-25 21:34:06 | 显示全部楼层
Processes of Transmission and Change of Social Axioms and their Behavioral Influence in Spanish Cultureer than 40 years old), and whether social axioms are transmitted within the family context. In Study 2, we explored how social axioms are related to the fulfillment of a diverse set of social norms. The results of Study 1 showed an intergenerational change for the social axioms of Social Complexity
发表于 2025-3-26 03:59:40 | 显示全部楼层
发表于 2025-3-26 05:10:38 | 显示全部楼层
,A Big Data Infrastructure in Support of Healthy and Independent Living: A Real Case Application,preserving eHealth platform applying Machine Learning algorithms to deliver interventions such as personalized notifications and alerts to each patient, thus promoting their healthy and independent living.
发表于 2025-3-26 11:05:52 | 显示全部楼层
Neuron-Synapse Level Problem Decomposition Method for Cooperative Neuro-Evolution of Feedforward Neor feedfoward networks and applied to time series prediction. The results show that the proposed approach has improved the results in selected benchmark data sets when compared to related methods. It also has promising performance when compared to other computational intelligence methods from the literature.
发表于 2025-3-26 14:15:46 | 显示全部楼层
发表于 2025-3-26 18:57:55 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-13 09:35
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表