Results 61 to 70 of about 2,448 (172)

External validation, update and development of prediction models for pre-eclampsia using an Individual Participant Data (IPD) meta-analysis: the International Prediction of Pregnancy Complication Network (IPPIC pre-eclampsia) protocol. [PDF]

, 2017
Background: Pre-eclampsia, a condition with raised blood pressure and proteinuria is associated with an increased risk of maternal and offspring mortality and morbidity. Early identification of mothers at risk is needed to target management.
A Ahmed, A Marshall, AJ Vickers, AJ Vickers, AM Wood, AP MacKay, CA Meads, CA Meads, CE Kleinrouweler, D Bloomenthal, DB Rubin, DG Altman, E Bujold, EAP Steegers, EW Steyerberg, EW Steyerberg, G Abo-Zaid, I Ahmed, ID Gallos, International Conference on Harmonisation of Technical Requirements for Registration of Pharmaceuticals for Human Use, IR White, J Gardosi, J Hartung, JD Iams, JP Higgins, JP Higgins, JS Cnossen, K Bramham, K van der Tuuk, KG Moons, KG Moons, KI Snell, L Myatt, L Pennells, L Velauthar, LA Stewart, LC Tang, M Quartagno, M Resche-Rigon, MM Leeflang, P Royston, P Royston, P von Dadelszen, P von Dadelszen, P von Dadelszen, R Cantwell, RD Riley, RD Riley, RD Riley, RD Riley, RK Morris, S Jolani, S Lisonkova, S Thangaratinam, TP Debray, TP Debray, TP Morris, TR Sullivan, W Sauerbrei, Y Giguere   +59 more
core   +5 more sources

Contrasted effects of human pressure on biodiversity in the UK: a multi‐taxonomic assessment using airborne environmental DNA

Ecography, Volume 2025, Issue 12, December 2025.
Human activities have significantly modified habitats, resulting in a global biodiversity crisis. In this study, we leveraged the first national‐scale biodiversity survey based on airborne environmental DNA, comparing the effects of three human pressure indices increasing in complexity and scope – a binary urban–rural index, an index integrating land ...
Orianne Tournayre, Joanne E. Littlefair, Nina R. Garrett, Andrew S. Brown, James J. Allerton, Melania E. Cristescu, Elizabeth L. Clare   +6 more
wiley   +1 more source

A Deep Reinforcement Learning Method with a Low Intercept Probability in a Netted Synthetic Aperture Radar

Remote Sensing
A deep reinforcement learning (DRL)-based power allocation method is proposed to achieve a low probability of intercept (LPI) in a netted synthetic aperture radar (SAR).
Longhao Xie, Ziyang Cheng, Ming Li, Huiyong Li   +3 more
doaj   +1 more source

Multi-User Multi-Carrier Differential Chaos Shift Keying Communication System

, 2013
In this paper, a multi user Multi-Carrier Differential Chaos Shift Keying (MC-DCSK) modulation is presented. The system endeavors to provide a good trade-off between robustness, energy efficiency and high data rate, while still being simple.
Adouni, Sarra, Gagnon, Francois, Kaddoum, Georges, Richardson, Francois-Dominique, Thibeault, Claude   +4 more
core   +1 more source

Fundamental limits of quantum-secure covert optical sensing [PDF]

, 2017
We present a square root law for active sensing of phase $\theta$ of a single pixel using optical probes that pass through a single-mode lossy thermal-noise bosonic channel.
Bash, Boulat A., Datta, Animesh, Gagatsos, Christos N., Guha, Saikat   +3 more
core   +1 more source

Influence of Environmental Covariates on Pollinator Community Occupancy, Detection, and Richness Across Urban Gardens in Richmond, Virginia, USA

Ecology and Evolution, Volume 15, Issue 11, November 2025.
Urban gardens can play a vital role in supporting pollinator diversity and aiding ecosystem health amidst global declines in pollinators. This study analyzed plant–pollinator interactions in Mid‐Atlantic (USA) urban gardens using multispecies occupancy models, focusing on two native plants: Liatris spicata and Pycnanthemum muticum .
Nicholas J. Ruppel, Robert B. Nipko, Mackenzie Dingus, Allison C. Ortiz, Teresa Weir, Marcella J. Kelly, Stephanie S. Coster   +6 more
wiley   +1 more source

Spatially Varying Drivers of Temporal β Diversity in Forest Avian Communities

Ecology and Evolution, Volume 15, Issue 10, October 2025.
Understanding how environmental changes and spatial heterogeneity influence biodiversity is crucial for conservation. Using Ohio Breeding Bird Atlas data and machine learning, we identified elevation variability and forest availability as key drivers of β diversity dissimilarity, with the greatest assemblage changes in areas with high total forest loss
Jess Dong, Stephen N. Matthews, Matthew B. Shumar, William E. Peterman   +3 more
wiley   +1 more source

Bypassing Bribes: Mobile Money and Corruption in Africa

Journal of International Development, Volume 37, Issue 7, Page 1454-1472, October 2025.
ABSTRACT Drawing on a sample of up to 100 000 individuals across 31 African countries, we use repeated cross‐sectional surveys and multilevel regression models to examine how national mobile money activity correlates with individual bribe payments over time.
Ashley Blair Simpson, Zack Zimbalist
wiley   +1 more source

Radar signal recognition exploiting information geometry and support vector machine

IET Signal Processing, 2023
Aiming at the recognition of low‐probability‐of‐intercept (LPI) radar signals, a support vector machine (SVM)‐based algorithm is proposed, where the information geometry theory is utilised to optimise the kernel function of the SVM.
Yuqing Cheng, Muran Guo, Limin Guo
doaj   +1 more source

Clustering in Additive Mixed Models with Approximate Dirichlet Process Mixtures using the EM Algorithm [PDF]

, 2013
We consider additive mixed models for longitudinal data with a nonlinear time trend. As random effects distribution an approximate Dirichlet process mixture is proposed that is based on the truncated version of the stick breaking presentation of the ...
Heinzl, Felix, Tutz, Gerhard
core   +2 more sources