Results 281 to 290 of about 895,436 (365)
Neutron capture measurements for s-process nucleosynthesis: A review about CERN n_TOF developments and contributions. [PDF]
Eur Phys J A Hadron NuclDomingo-Pardo C, Aberle O, Alcayne V, Alpar G, Halabi MA, Amaducci S, Babiano V, Bacak M, Balibrea-Correa J, Bartolomé J, Bernardes AP, Gameiro BB, Berthoumieux E, Beyer R, Birch M, Boromiza M, Bosnar D, Brusasco B, Caamaño M, Cahuzac A, Calviño F, Calviani M, Cano-Ott D, Casanovas A, Castelluccio DM, Catlett D, Cerutti F, Cescutti G, Chiaveri E, Claps G, Colombetti P, Colonna N, Camprini PC, Cortés G, Cortés-Giraldo MA, Cosentino L, Cristallo S, D'Ottavi A, de la Fuente Rosales G, Dellmann SF, Diakaki M, Di Castro M, Di Chicco A, Dietz M, Dupont E, Durán I, Eleme Z, Eslami M, Fargier S, Fernández-Domínguez B, Finocchiaro P, Flanagan W, Furman V, Gandhi A, García-Infantes F, Gawlik-Ramiega A, Gervino G, Gilardoni S, González-Romero E, Goula S, Griesmayer E, Guerrero C, Gunsing F, Gustavino C, Heyse J, Hillman W, Jenkins DG, Jericha E, Junghans A, Kadi Y, Kaperoni K, Kelly I, Kokkoris M, Kopatch Y, Krtička M, Kyritsis N, Lederer-Woods C, Lerendegui-Marco J, Manna A, Martínez T, Martínez-Cañada M, Masi A, Massimi C, Mastinu P, Mastromarco M, Maugeri EA, Mazzone A, Mendoza E, Mengoni A, Michalopoulou V, Milazzo PM, Moldenhauer J, Mucciola R, González EM, Musumarra A, Negret A, Odusina E, Papanikolaou D, Patronis N, Pavón-Rodríguez JA, Pellegriti MG, Pérez-Maroto P, de Rada Fiol AP, Perfetto G, Perkowski J, Petrone C, Pieretti N, Piersanti L, Pirovano E, Porras I, Praena J, Quesada JM, Reifarth R, Rochman D, Romanets Y, Rooney A, Rovira G, Rubbia C, Sánchez-Caballero A, Sahoo RN, Scarpa D, Schillebeeckx P, Smith AG, Sosnin NV, Spelta M, Stamati ME, Stasiak K, Tagliente G, Tarifeño-Saldivia A, Tarrío D, Torres-Sánchez P, Tosi S, Tsiledakis G, Valenta S, Vaz P, Vecchio G, Vescovi D, Vlachoudis V, Vlastou R, Wallner A, Weiss C, Woods PJ, Wright T, Wu R, Žugec P, The n_TOF Collaboration. +145 moreeuropepmc +1 more sourceCharacterization of Clinical Phenotype to Glial Fibrillary Acidic Protein Concentrations in Alexander Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective
To determine the concentration of glial fibrillary acidic protein (GFAP) in cerebrospinal fluid (CSF) and plasma in Alexander disease (AxD) and whether GFAP levels are predictive of disease phenotypes. Methods
CSF and plasma were collected (longitudinally when available) from AxD participants and non‐AxD controls.Amy T. Waldman, Asako Takanohashi, Joshua Y. Joung, Geraldine W. Liu, Kaley Arnold, Amy Pizzino, Walter Faig, Sarah Woidill, Sona Narula, Adeline L. Vanderver +9 morewiley +1 more sourceHelioseismic inference of the solar radiative opacity. [PDF]
Nat CommunBuldgen G, Pain JC, Cossé P, Blancard C, Gilleron F, Pradhan AK, Fontes CJ, Colgan J, Noels A, Christensen-Dalsgaard J, Deal M, Ayukov SV, Baturin VA, Oreshina AV, Scuflaire R, Pinçon C, Lebreton Y, Corbard T, Eggenberger P, Salmon S, Hakel P, Kilcrease DP. +21 moreeuropepmc +1 more sourceTrace Nickel Activated Biphasic Core‐CuOii/Shell‐CuOi Secondary Microspheres Enable Room Temperature Parts‐Per‐Trillion‐Level NO2 Detection
Advanced Engineering Materials, EarlyView.An idea of designing novel sensors is proposed by creating appropriate Schottky barriers and vacancies between isomorphous Core‐CuOii/ Shell‐CuOi secondary microspheres and enhancing catalytic and spill‐over effects, and electronegativity via spontaneous biphasic separation, self‐assembly, and trace‐Ni‐doping.Bala Ismail Adamu, Peipei Chen, Shafia Mukhtar Ibrahim, Mukhtar Lawan Adam, Attia Falak, Mokhotjwa Simon Dhlamini, Hanfu Wang, Lingxiang Jiang, Weiguo Chu +8 morewiley +1 more sourceWhat Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti +2 morewiley +1 more sourceA Novel Hybrid High-Speed Mass Spectrometer Allows Rapid Translation From Biomarker Candidates to Targeted Clinical Tests Using <sup>15</sup>N-Labeled Proteins. [PDF]
Mol Cell ProteomicsWahle M, Remes PM, Albrecht V, Baggio Lorenz M, Mueller-Reif J, Steigerwald S, Heymann T, Niu L, Lössl P, Horning S, Jacob CC, Mann M. +11 moreeuropepmc +1 more source
