Results 161 to 170 of about 172,138 (394)
Jianyuan Song,1– 3 Zhuhong Chen,1 Daxin Huang,1 Yimin Wu,1 Zhuangbin Lin,1,2 Pan Chi,4 Benhua Xu1– 3 1Department of Radiation Oncology, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, People’s Republic of China ...
Song J +6 more
doaj
A Nomogram for Estimation of the Cardiac Valve Areas [PDF]
Peter Wong, Charles A. Sanders
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ABSTRACT Objectives Pre‐eclampsia (PE) is a multisystem pregnancy‐specific disorder, and its screening remains a global health priority. The primary goals of this systematic review and meta‐analysis were to accumulate all available data to assess the potential added value of maternal ophthalmic artery (OA) Doppler indices in combination with several ...
I. Sapantzoglou +8 more
wiley +1 more source
RAPID COMPUTATION OF RATES WITH A SIMPLE NOMOGRAM [PDF]
Robert Maribe Branch, Stephen Sulzbacher
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Characterizing distributions by quantile measures [PDF]
Statistical Distribution ...
Janssens, M.J.B.T. +2 more
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ABSTRACT Objective To perform an updated meta‐analysis evaluating the diagnostic performance of transvaginal ultrasound (TVS) for detecting lateral parametrial involvement in women with suspected deep pelvic endometriosis. Methods A literature search was performed in the Web of Science, PubMed and Scopus databases from January 2021 to May 2024 for ...
J. L. Alcázar +7 more
wiley +1 more source
Nomograms for Simplified Demographic Calculations [PDF]
William A. Reinke +2 more
openalex +1 more source
Nomograms for Relative Humidity [PDF]
J. B. d. V. Weir, G. H. Bell
openaire +3 more sources
Abstract Background Prostate cancer (PCa) patients are at risk of developing second primary malignancies (SPMs), which can significantly shorten their survival. Understanding the risk of SPMs and associated factors is crucial to the optimization of patient follow‐up.
Qi Zhang +11 more
wiley +1 more source
A preliminary sensitivity analysis of the coupled diffusion and chemistry model [PDF]
The sensitivity of the coupled chemistry/diffusion model's outputs to a wide range of variation of the model's independent variables has been investigated.
Contiliano, R. M., Hilst, G. R.
core +1 more source

