Results 151 to 160 of about 983,863 (267)

Unfolding Success Factors and Barriers in Adapting Slovenia's Health Promotion Centre Model to Bergamo Province: A PIET-T Feasibility Assessment with Time-Dependent Care Implications. [PDF]

Epidemiologia (Basel)
Crotti G, Antonelli A, Bonomi F, Borghi G, Parisi G, Trezzi I, Rizzardi N, Pribakovic Brinovec R, Zupanc M, Zucchi A, Castelli N.   +10 more
europepmc   +1 more source

Electrically Readable Lateral Flow Assay Using Organic Transistors for Diagnostic Applications

Advanced Materials, EarlyView.
Electrolyte‐gated organic field‐effect transistors (EGOFETs) are integrated with lateral flow (LF) paper fluidics to create a reusable, portable, and low‐cost point‐of‐care (PoC) diagnostic test. The devices are validated for Human Immunoglobulin G detection, achieving high sensitivity (0.1 fm), selectivity, and reproducibility with rapid results in 20–
María Jesús Ortiz‐Aguayo, Carme Martínez‐Domingo, Diego Gutiérrez, Dean Kos, Marta Mas‐Torrent   +4 more
wiley   +1 more source

Toward improved stroke care in Nepal: insights from a qualitative study on barriers and success factors. [PDF]

Front Neurol
Tunkl C, Paudel R, Thapa L, Shreyan S, Krauss A, Subedi A, Karmacharya B, Jalan P, Begli NH, Tunkl P, Bajaj S, Kosinski A, Kosinski C, Ghimire P, Shah B, Chandra A, Ghimire MR, Prasad Gajurel B, Golenia J, van der Merwe J, Stang C, Sedani R, Gumbinger C.   +22 more
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

Success factors and measures for scaling patient-facing digital health technologies from leaders' insights. [PDF]

BMC Health Serv Res
Pfitzer E, Giger O, Kausch C, Kowatsch T.   +3 more
europepmc   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

What matters in rehabilitation: a mixed methods study of critical success factors from the perspectives of patients and healthcare professionals. [PDF]

Eur J Transl Myol
Matko Š, Vetrano C, Cristea D, Riedl P, Prüfer F, Fischer MJ, Steinecker-Frohnwieser B, Stamm T, Grote V.   +8 more
europepmc   +1 more source

Stable Protein‐Based G‐Quadruplex‐Derived Supramolecular Bioinks as Tunable ECM‐Mimetic Constructs Assembled by Combining Non‐Covalent and Covalent Strategies

Advanced Materials, EarlyView.
Harnessing the synergistic interplay of supramolecular self‐assembly, under macromolecular crowding conditions, and enzymatic‐mediated covalent crosslinking toward a stable protein‐based G‐quadruplex‐derived supramolecular bioink. This bioinspired strategy enables the biofabrication of complex and tunable ECM‐mimetic constructs, providing a platform ...
Vera Sousa, Rita Sobreiro‐Almeida, Bart W. L. van den Bersselaar, E. W. Meijer, Ghislaine Vantomme, João Borges, João F. Mano   +6 more
wiley   +1 more source

Critical success factors for successful technology innovation development in sustainable energy enterprises. [PDF]

Sci Rep
Alka TA, Raman R, Suresh M.
europepmc   +1 more source

Inverse Design of Amorphous Materials With Targeted Properties

Advanced Materials, EarlyView.
AMDEN is a diffusion model framework for the inverse design of amorphous materials with targeted properties. By incorporating Hamiltonian Monte Carlo refinement into the denoising process, the framework overcomes the challenge of generating thermally relaxed disordered structures.
Jonas A. Finkler, Yan Lin, Tao Du, Jilin Hu, Morten M. Smedskjaer   +4 more
wiley   +1 more source