Results 31 to 40 of about 7,814 (175)
Monitoring population extinction risk with community science data
Journal of Applied Ecology, Volume 62, Issue 9, Page 2133-2147, September 2025.Our modelling framework provides a robust, computationally efficient and easy‐to‐apply tool for monitoring local persistence probability that can support global conservation efforts. This will complement the monitoring of species population viability in places where standardized monitoring is still lacking, but community science observations are common.
Orlando Acevedo‐Charry +8 more
wiley +1 more source
Ultrasound in Obstetrics &Gynecology, Volume 66, Issue 2, Page 200-209, August 2025.Abstract Objectives Neonates with critical congenital heart disease (CCHD) are at risk for adverse early brain development and long‐term neurodevelopmental sequelae. Insulin‐like growth factor‐1 (IGF‐1) and insulin‐like growth factor binding protein‐3 (IGFBP‐3) are essential contributors to brain growth and maturation.
M. Nijman +33 more
wiley +1 more source
Research on Life Distribution Model of Cancer Patients Under Random Censoring Life Test——based on the Survey of Tumor Patients in a Hospital in Fujian Province from 2003 to 2007 [PDF]
, 2009 本文基于福建省某医院对2003-2007年肿瘤患者的调查,按住院人数统计,对顺位前三类癌症患者的寿命分布模型进行了研究。研究发现:(1)40-50岁是女性子宫肿瘤发病的高峰期,并且有逐年增长的趋势;(2)剔除女性患子宫肿瘤人数的影响,肿瘤发病的高峰期转移到60-70岁这个年龄段,表现出其它肿瘤多发于老年人,而且肺癌、胃癌、肝癌患者人数尤为突出;(3)肺癌、胃癌、肝癌患者的寿命分布属同一分布族,并且均能通过随机截尾数据下的H-P检验。Based on the survey of tumor ...
张志强, 王洁丹, 马骅
core
Integrative Conservation, Volume 4, Issue 2, Page 143-153, June 2025.This study provided information on the abundance, population demography and activity pattern of an endangered species of Gekko badenii at the type locality of Ba Den Mountain, southern Vietnam. Local and international use and trade in Gekko badenii for food consumption and as pet were investigated and conservation recommendations highlighted.
Hai Ngoc Ngo +8 more
wiley +1 more source
北京地区风湿性心脏病病人缺血性脑卒中发生率及影响因素随访研究
Huli yanjiu, 2008 摘要： （免费在线浏览）摘要：［目的］了解北京地区风湿性心脏病病人缺血性脑卒中的发生率及其影响因素。［方法］对单一中心的520例风湿性心脏病病人进行随访调查,随访6.75年±4.03年,累计随访3 227人年。［结果］该组风湿性心脏病病人脑卒中年发生率平均为5.3%。各年龄段的脑卒中发生率:<60岁为1.2 %,合并危险因素者1.6%,不合并危险因素者1.0%;60岁～70岁为4.0 %,合并危险因素者5.1%,不合并危险因素者3.1%;71岁～80岁为6.7%,合并危险因素者8.8 ...
王慧, 张丽
doaj
, 1986 神经系统遗传病的研究工作是目前神经系统疾病中一个较薄弱的部分。为了更好地为神经系统遗传病患者进行诊断与治疗,并希望成立遗传咨询,开展优生工作,并为进一步进行这一领域的科研工作打下基础 ...
刘焯霖
core
Prediction of pre‐eclampsia using maternal hemodynamic parameters at 12 + 0 to 15 + 6 weeks
Ultrasound in Obstetrics &Gynecology, Volume 65, Issue 2, Page 173-182, February 2025.ABSTRACT Objectives To compare the maternal hemodynamic profile at 12 + 0 to 15 + 6 weeks' gestation in women who subsequently developed pre‐eclampsia (PE) and those who did not, and to assess the screening performance of maternal hemodynamic parameters for PE in combination with the Fetal Medicine Foundation (FMF) triple test, including maternal ...
X. Wang +9 more
wiley +1 more source
联合使用血尿素氮和sPESI评估急性重症肺栓塞病人的30天死亡风险
Zhongshan Daxue xuebao. Yixue kexue ban, 2022 目的探究血尿素氮（BUN）是否有助于增强简化版肺栓塞严重指数（sPESI）的危险分层能力。方法本回顾性研究纳入了在MIMIC Ⅲ数据库中被诊断为急性重症肺栓塞的患者，并将他们在30 d内的死亡率作为此次研究的主要结局。根据ROC曲线的最大Youden指数计算BUN和sPESI的最佳截断值；使用Kaplan-Meier曲线评价BUN、sPESI及其组合在总队列和亚组中的危险分层能力。结果本研究共纳入了250名急性重症肺栓塞患者。BUN和sPESI均为30 d死亡率的独立预测指标。BUN的最佳截断值为21 ...
丘雪梅 +5 more
doaj
The Application of Competing Risk Model on the Prediction Study of Prognosis for Female Breast Cancer [PDF]
, 2010 目的：通过研究女性乳腺癌患者的术后生存结果，分析评价临床预后因素对女性乳腺癌的影响，探索竞争风险模型在乳腺癌患者预后预测中的应用，并与传统生存分析结果进行比较。 方法：通过调查的方法，获取厦门市及武汉市4家医院1998年至2008年入院接受手术治疗的乳腺癌患者的临床资料。生存分析中的单变量分析以K-M方法进行，用Log-rank法检验生存差异，采用Cox比例风险模型进行多因素分析。在考虑竞争风险的情况下，采用非参数方法计算累积风险率。采用原因别风险模型进行多因素分析，并评价复发的影响因素 ...
胡海兰
core
Ultrasound in Obstetrics &Gynecology, Volume 64, Issue 4, Page 470-479, October 2024.ABSTRACT Objectives Our aim was to examine the prenatal profiles of pregnancies affected by an atypical chromosomal aberration, focusing on pathogenic copy‐number variants (pCNVs). We also wanted to quantify the performance of combined first‐trimester screening (cFTS) and a second‐trimester anomaly scan in detecting these aberrations. Finally, we aimed
K. Gadsbøll +6 more
wiley +1 more source