Results 211 to 220 of about 162,086 (291)

Gender, Families, and Wealth Accumulation Among the One‐Child Generation

The British Journal of Sociology, EarlyView.
ABSTRACT Prior literature on gender and wealth accumulation largely examines the role of families in reproducing inequalities. However, less attention has been paid to families without sons, a significant demographic, particularly within China's one‐child generation, that challenges conventional understandings of familial wealth dynamics.
Ye Liu
wiley   +1 more source

Psychometric evaluation of a psychosocial wellbeing questionnaire for older adults in Sibu, Sarawak, Malaysia. [PDF]

BMC Geriatr
Stephen J, Hee LS, Jiee SF, Rahman MM, Saimon R, Azman NA, Chuen GH, Ngui R.   +7 more
europepmc   +1 more source

Performance of DRNNAGE for macroscopic age‐at‐death estimation in contemporary Brazilian identified skeletons

Journal of Forensic Sciences, EarlyView.
Abstract In global forensic literature, methods for estimating age in young individuals are more commonly addressed than those applicable to adults. This trend is also evident in Brazil. This study aimed to evaluate the performance of the DRNNAGE software for age estimation in Brazilian identified human skeletons. The sample consisted of 400 skeletons (
André Marquim Nogueira da Fonte Cornélio, David Senhora Navega, Marcus Vitor Diniz de Carvalho, Tatyane dos Santos Ferreira, Carolina Peixoto Magalhães, Eugénia Cunha, Evelyne Soriano   +6 more
wiley   +1 more source

Remarkable Prolongation of Irreversible APTT and Non-Significant Hemorrhage: A Rare High Titer of FVIII Inhibitor Case Report and Literature Review. [PDF]

J Clin Lab Anal
Zhang KH, Lu SS, Gao PL, Fu XY, Dong GY.
europepmc   +1 more source

‘But I can't preregister my research’: Improving the reproducibility and transparency of ecology and conservation with adaptive preregistration for model‐based research

Methods in Ecology and Evolution, EarlyView.
Abstract Preregistration is an open science practice which aims to improve research transparency and mitigate questionable research practices, like cherry‐picking results. It helps protect against cognitive biases, like hindsight bias, that can influence how study outcomes are interpreted.
Elliot Gould, Christopher S. Jones, Jian D. L. Yen, Hannah S. Fraser, Henry F. Wootton, Megan K. Good, David H. Duncan, Cindy E. Hauser, Bonnie C. Wintle, Libby Rumpff   +9 more
wiley   +1 more source

Ectopic parathyroid carcinoma coexisting with Graves' disease: A case report and literature review. [PDF]

Medicine (Baltimore)
Li GZ, Li N, Wang ZP, Tang WY, Zhao ZS.
europepmc   +1 more source

From politics to economics: The investigation of the determinants of local administrative hierarchy in the Tang–Song transition

Asia‐Pacific Economic History Review, Volume 65, Issue 1, Page 39-78, March 2025.
Abstract This study collects original data to examine the determinants of classification criteria of county hierarchy and its rank variations during the Tang–Song period. The results reveal that the county hierarchy was affected by both economic and political situations, with more emphasis on politics in Tang and economics in Song.
Nan Li, Heqi Cai
wiley   +1 more source

Rapid and visual detection of Tacheng tick virus 1 using loop-mediated isothermal amplification technique. [PDF]

Front Cell Infect Microbiol
Guo Q, Gui Z, Ren Y, Liu Z, Liu N, Li L, Wang Z, Yu J.   +7 more
europepmc   +1 more source

Deep learning for fluorescence confocal microscopy image interpretation in radical prostatectomy

BJU International, EarlyView.
Objective To develop and validate a deep learning model for interpretation of fluorescence confocal microscopy (FCM) images for intraoperative surgical margin assessment during radical prostatectomy (RP). Patients and Methods Fluorescence confocal microscopy images from the multicentre Imperial Prostate 8‐Fluorescence Confocal Microscopy for Rapid ...
Lixiang Fang, Nikhil Mayor, Alexander Light, Anna Silvanto, Aiman Haider, Chase Ng, Archana Gopalakrishnan, Ranil Johann Boaz, Mariana Bertoncelli Tanaka, Bijan Khoubehi, Giles Hellawell, Ricardo Almeida‐Magana, Larissa Mendes, Eoin Dinneen, Greg Shaw, Ben Challacombe, Paul Cathcart, Martin J. Connor, Taimur T. Shah, Hashim U. Ahmed, Francesca Fiorentino, Stamatia Giannarou, Mathias Winkler   +22 more
wiley   +1 more source

Deep learning based real-time prediction of depth of penetration during activated tungsten inert gas welding of 10 mm thick 316LN stainless steel. [PDF]

Sci Rep
Chandrasekhar N, Vasudevan M, Das CR.
europepmc   +1 more source