Results 221 to 230 of about 23,834 (285)

Diet Quality and Weight Status are Predicted by Federal Nutrition Assistance Program Participation, Health, and Demographics. [PDF]

Curr Dev Nutr
Au LE, Arnold CD, Domfe C, Ritchie LD, Whaley SE, Bitler M, Frongillo EA.   +6 more
europepmc   +1 more source

Trade Realignments and the Need for Integrated Modeling Research in Latin America's Agri‐Food Sector

Agribusiness, EarlyView.
Emiliano Lopez Barrera
wiley   +1 more source

Individualized Atrophy‐Based Prediction of Dementia Progression in Familial Frontotemporal Lobar Degeneration With Bayesian Linear Mixed‐Effects Modeling

Annals of Neurology, EarlyView.
Objective Age of symptom onset is highly variable in familial frontotemporal lobar degeneration (f‐FTLD). Accurate prediction of onset would inform clinical management and trial enrollment. Prior studies indicate that individualized maps of brain atrophy can predict conversion to dementia in f‐FTLD.
Shubir Dutt, Dana Leichter, Yann Cobigo, Amy Wolf, John Kornak, Annie Clark, Lucy L. Russell, Arabella Bouzigues, David M. Cash, Martina Bocchetta, Molly Olzinski, Brian Appleby, Ece Bayram, Barbara Borroni, Andrea Bozoki, Chris R. Butler, David Clark, Rhian S. Convery, R. Ryan Darby, Alexandre de Mendonça, Bradford Dickerson, Kimiko Domoto‐Reilly, Simon Ducharme, Eve Ferry‐Bolder, Elizabeth Finger, Phoebe H. Foster, Douglas R. Galasko, Daniela Galimberti, Alexander Gerhard, Nupur Ghoshal, Caroline Graff, Neill Graff‐Radford, Ian M. Grant, Chadwick M. Hales, Lawrence S. Honig, Ging‐Yuek Hsiung, Edward D. Huey, David Irwin, Lize C. Jiskoot, Walter Kremers, Justin Y. Kwan, Robert Laforce, Isabelle Le Ber, Gabriel C. Léger, Johannes Levin, Irene Litvan, Ian R. Mackenzie, Mario Masellis, Mario F. Mendez, Fermin Moreno, Chiadi Onyike, Markus Otto, Belen Pascual, Peter Pressman, Rosa Rademakers, Eliana Marisa Ramos, Aaron Ritter, Erik D. Roberson, James B. Rowe, Raquel Sanchez‐Valle, Isabel Santana, Harro Seelaar, Allison Snyder, Sandro Sorbi, Matthis Synofzik, Maria Carmela Tartaglia, Pietro Tiraboschi, John C. van Swieten, Marijne Vandebergh, Rik Vandenberghe, Hilary W. Heuer, Bruce L. Miller, William W. Seeley, Maria Luisa Gorno‐Tempini, Joel H. Kramer, Leah Forsberg, Kejal Kantarci, Bradley F. Boeve, Adam L. Boxer, Jonathan D. Rohrer, Howard J. Rosen, Adam M. Staffaroni, FTD Prevention Initiative (FPI) investigators   +82 more
wiley   +1 more source

Functional Plant-Based Beverage Fortified with Hazelnut Cuticle Polyphenols: Antioxidant and Phenolic Content Characterization. [PDF]

Molecules
Conte R, Sepe F, Margarucci S, Costanzo E, Petillo O, Peluso G, Marcolongo L, Calarco A.   +7 more
europepmc   +1 more source

Idea engines: Unifying innovation & obsolescence from markets & genetic evolution to science. [PDF]

Proc Natl Acad Sci U S A
Lee ED, Kempes CP, West GB.
europepmc   +1 more source

Equity, diversity and inclusion in simulation-based education: constructing a developmental framework for medical educators. [PDF]

Adv Simul (Lond)
Mutch J, Golden S, Purdy E, Chang CHX, Oliver N, Tallentire VR.   +5 more
europepmc   +1 more source

New Cycles of Disadvantage? Report of a conference organised by CASE on behalf of ESRC for HM Treasury [PDF]

Anthony Lee, John Hills
core  

Numerical Analysis of Proton Exchange Membrane Fuel Cell Performance With a Lung Serpentine Flow Field

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Proton exchange membrane fuel cells (PEMFC) are regarded as the best clean energy conversion technology because of their smaller number of emissions and higher efficiency. This numerical investigation used two different flow channel designs—the serpentine flow field (SFF) and the lung serpentine flow field (LSFF)—with active areas of 5 by 5 cm.
Muralikrishna Boni, Venkateswarlu Velisala, Amarnath Gundalabhagavan, B. H. C. Surya   +3 more
wiley   +1 more source

Combining predictive accuracy and interpretability: a data-driven approach to telecom churn analysis. [PDF]

Sci Rep
Hooda P, Mittal P, Shukla PK, Shukla PK, Pandey A.   +4 more
europepmc   +1 more source

Hydrogen‐Enriched Microbial Oil Biodiesel With Hybrid Nanoparticles Impact on Diesel Engine Efficiency and Emissions

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This study examines a dual‐fuel enhancement strategy that combines hydrogen enrichment with hybrid nanoparticle (HNP) doping. The aim is to improve combustion, performance, and emission characteristics of microbial oil biodiesel (MOB) in compression ignition engines.
D. Premkumar, S. Senthil Kumar, K. R. Padmavathi, Prajith Prabakar   +3 more
wiley   +1 more source