Results 201 to 210 of about 25,911 (248)

In Situ Amine Formation to Modulate MOF‐Derived PdIn N‐Doped Carbon Catalysts

Advanced Materials, EarlyView.
An amine‐assisted approach converts PdIn‐MOF into PdIn intermetallic nanoparticles embedded in N‐doped carbon. In situ‐generated amines trigger early Pd nucleation, producing smaller PdIn domains than direct pyrolysis. Amine sterics and basicity tune composition and particle size, while solvent and amine co‐determine textural features.
Gonzalo Egea, Jordan Santiago Martinez, M. Asunción Molina, Jaime Mazarío, Lucy Costley‐Wood, Christian Cerezo‐Navarrete, Carlo Marini, Eduardo Villalobos‐Portillo, Andrew M. Beale, Pascual Oña‐Burgos   +9 more
wiley   +1 more source

Integrated Model for Evidence-Based Risk Factor Prioritisation and Dynamic Resource Allocation in Hypertension Prevention and Control: A Study Protocol. [PDF]

Healthcare (Basel)
Nweke M, Pillay J.
europepmc   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

Delphi approach to prioritising research in cardiovascular and kidney disease using routinely collected data. [PDF]

BMJ Open
Forsyth RA, Coombe A, Brunskill N, Chico T, Dhaun N, Dreyer G, Fotheringham J, Hodgkinson A, MacArthur JAL, Mcmahon A, Miller-Hodges E, Molete M, Petersen SE, Scanlon M, Stevenson A, Wheeler DC, Bell S, Bell S.   +17 more
europepmc   +1 more source

Azobenzene's Cross‐Scale Optics and Photonics: Molecular Photoswitching, Mesoscopic Material Motions, and Adaptive Devices

Advanced Materials, EarlyView.
Azobenzene photoswitches translate molecular‐scale E/Z photoisomerization into macroscopic material responses and device‐level photonic functions. This Review highlights how azobenzene research has evolved from molecular photochemistry to photoalignment, mass migration, photomechanics, and heat release, ultimately enabling holography, reconfigurable ...
Heeju Son, Soyul Kwak, Heerin Noh, Minsang Kim, Doyeon Noh, Subhayan Chakraborty, Jaewon Lee, YongDeok Cho, Kyeongsoo Kim, Taewoong Eom, Moonyoung Kim, Jangwon Kim, Hoyoung Lee, Soyoung Lee, Jaehun Kim, Grace G. D. Han, Shin‐Tson Wu, Stefano Oscurato, Arri Priimagi, Marina Saphiannikova, Seungwoo Lee   +20 more
wiley   +1 more source

Department managers' perceptions of a priority-setting model in a local healthcare organisation: a mixed-methods study. [PDF]

BMC Health Serv Res
Gustafsson IB, Wallin L, Winblad U, Fredriksson M.   +3 more
europepmc   +1 more source

Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics

Advanced Materials, EarlyView.
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair, Hrisheekesh Thachoth Chandran, Karl Leo, Hans Kleemann   +3 more
wiley   +1 more source

Identifying Research Priorities in Early Psychosis: A Collaborative Approach to Shaping the Future of Early Psychosis Clinical Trials in Australia. [PDF]

Early Interv Psychiatry
Watson AE, Wood SJ, Brown E, Zbukvic I, Fitzsimons J, De Cicco D, Fernandez K, Williams G, Thompson A.   +8 more
europepmc   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Prioritisation and risk ranking of epidemic-prone diseases for emergency preparedness and response in Eastern Africa using a multi-criteria decision analysis framework, 2023. [PDF]

J Public Health Afr
Kamara N, Guyassa M, Theocharopoulos G, Mohamed AS, Said HM, Pampaka D, Suk J, Riek LP, Aragaw M.   +8 more
europepmc   +1 more source