Results 241 to 250 of about 1,351,383 (295)

Mitigating the risk of bias exacerbation when controlling for unmeasured spatial confounding for binary exposures. [PDF]

Am J Epidemiol
Li D, Cruz M, Mooney SJ, Cook AJ, Bobb JF.   +4 more
europepmc   +1 more source

fmixed: A SAS Macro for Smoothing-Spline-Based Functional Mixed Effects Models

Ziyue Liu, Wensheng Guo
core  

Providing regular and frequent maps of losses and gains of farmland birds based on European monitoring data

Conservation Biology, EarlyView.
Abstract Knowledge of species distributions is essential for informing policies on nature conservation and restoration. However, updating them on a regular basis and doing so in a harmonized manner at the international level is difficult. The European Bird Census Council integrated national monitoring data covering 5 years to update farmland bird ...
Sergi Herrando, Guillem Pocull, Sara Fraixedas, Anna Gamero, David Martí, Oriol Solà, Dani Villero, Verena Keller, Petr Voříšek, Alena Klvaňová, Gabriel Gargallo, Vitalie Ajder, Marc Anton, Ainars Aunins, Dawn Balmer, Mattia Brambilla, Tomasz Chodkiewicz, Przemysław Chylarecki, Cristi Domșa, Vlatka Dumbović Mazal, Virginia Escandell, Néstor Fernández, Ruud Foppen, Juan Gallego‐Zamorano, Carlos Godinho, Irene Guerrero, Christina Ieronymidou, Frédéric Jiguet, Aleksi Lehikoinen, Primož Kmecl, Peter Knaus, Lechosław Kuczyński, Åke Lindström, Qenan Maxhuni, Blas Molina, Jean‐Yves Paquet, Maria Luisa Paracchini, Danae Portolou, Draženko Z. Rajković, Dimitrije Radišić, Jiří Reif, Paul Shimmings, Henk Sierdsema, Jovica Sjeničić, Karel Šťastný, Bård G. Stokke, Nicolas Strebel, Zoltán D. Szabó, Tibor Szép, Norbert Teufelbauer, Nicolas Titeux, Sven Trautmann, Judit Veres‐Szászkac, Thomas Vikstrøm, Lluís Brotons   +54 more
wiley   +1 more source

A Terrain-Constrained TIN Approach for High-Precision DEM Reconstruction Using UAV Point Clouds. [PDF]

J Imaging
He Z, Gan S, Yuan X.
europepmc   +1 more source

Monitoring wildlife health for diseases with visible signs by integrating camera traps with marked individuals

Conservation Biology, EarlyView.
Abstract Monitoring wildlife health is essential for conservation and management, wildlife and livestock welfare, and public health in a One Health framework. Yet, wildlife health monitoring often requires long‐term fieldwork and intensive sampling, which can be costly or logistically challenging, especially for remote, rare, or elusive populations. To
Jonathan Tichon, Roi Lapid, Roni King, Elyasaf Freiman, Orr Spiegel, Erez Baruchi, Aviam Atar, Shirli Bar‐David, David Saltz   +8 more
wiley   +1 more source

Distributed Nonparametric Regression with Heterogeneity Through Prediction-Based Aggregation. [PDF]

J Comput Graph Stat
Chen Z, Li R, Xu Y.
europepmc   +1 more source

Nationwide Real‐World Retrospective Study of Oral Semaglutide Use in Adults Living With Type 2 Diabetes in Finland

Diabetes, Obesity and Metabolism, EarlyView.
ABSTRACT Aim This Finnish nationwide retrospective 'real‐world' study evaluated the effects of oral semaglutide on glycaemic control, body weight, lipid profile, and liver enzymes in adults living with type 2 diabetes (T2D) and naïve to any GLP‐1 receptor agonists in Finland.
Atte Vaden, Mari Lahelma, Lalli Nurmi, Eija Heikkilä, Hannu Vessari, Hanne Luoto, Tero Saukkonen, Leo Niskanen   +7 more
wiley   +1 more source

Longitudinal effects of inpatient music therapy dosage on pain intensity and opioid utilization among patients with hematologic or oncologic conditions: a retrospective cohort study. [PDF]

Support Care Cancer
Rodgers-Melnick SN, Gunzler D, Love TE, Koroukian SM, Beno M, Rao S, Razzak R, Dusek JA, Rose J.   +8 more
europepmc   +1 more source

Proteomic Profiling Captures Residual Cardiovascular Risk Beyond the PREVENT Model in Individuals With Cardiovascular–Kidney–Metabolic Syndrome Stages 2–3

Diabetes, Obesity and Metabolism, EarlyView.
ABSTRACT Background Cardiovascular–kidney–metabolic (CKM) syndrome reflects complex pathobiological interactions among metabolic disorders, kidney injury, and cardiovascular disease (CVD). Stages 2 and 3 represent critical phases of disease progression characterised by high pathological heterogeneity.
Xuefei Han, Jiacheng Ding, Jingqian Li, Yiyin Gao, Yunqian Li   +4 more
wiley   +1 more source