Results 251 to 260 of about 2,948,249 (289)

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Enhancing equity within the promotions dossier evaluation-Strategies to mitigate biases. [PDF]

Front Public Health
Joy TR.
europepmc   +1 more source

Spin‐Split Edge States in Metal‐Supported Graphene Nanoislands Obtained by CVD

Advanced Materials, EarlyView.
Combining STM measurements and ab‐initio calculations, we show that zig‐zag edges in graphene nanoislands grown on Ni(111) by CVD retrieve their spin‐polarized edge states after intercalation of a few monolayers of Au. ABSTRACT Spin‐split states localized on zigzag edges have been predicted for different free‐standing graphene nanostructures.
Michele Gastaldo, Masoud Mansouri, Carlos Garcia‐Fernandez, Daniel Sánchez‐Portal, Aran Garcia‐Lekue, Gustavo Ceballos, Aitor Mugarza   +6 more
wiley   +1 more source

Sociodemographic, lifestyle, and educational environment factors associated with academic performance among Tunisian medical students: a cross-sectional study. [PDF]

BMC Med Educ
Sridi C, Aribi M, Lassoued L, Kacem I, Chelly F, Belhadj N, Fki A, Elleuch N, Chouchene I, Maoua M, Ben Dhiab M.   +10 more
europepmc   +1 more source

A Cu‐Based Near‐IR Active MOF with an Ion‐Pair Guest Exhibiting Versatile and Selective Gas‐Solid Reactivity

Advanced Materials, EarlyView.
The new Cu‐containing MOF (Me2NH2)(CuICl2)@[Cu4(INA)4Cl2O]·1.5dmf (3) contains a cation and an anion as guests and shows UV‐near‐mid‐IR absorption and near‐IR emission. MOF 3 shows gas‐solid reactivity in the presence of NH3 and HCOOH to yield two new 3D MOF.
Rajat Saha, Alejandro Cortés‐Villena, Silvia Gómez‐Coca, Alberto Fernández‐Alarcón, Joaquín Calbo, Raquel E. Galian, Enrique Ortí, Eliseo Ruiz, Mónica Giménez‐Marqués, Samia Benmansour, Carlos J. Gómez‐García   +10 more
wiley   +1 more source

Physiotherapy students' acceptance of AI-based chatbots (including ChatGPT) in education: a multi-institutional study from Turkey. [PDF]

BMC Med Educ
Güler MA, Dağ S, Kayal S, Can M, Şimşekkaya SN.   +4 more
europepmc   +1 more source

Synergistic Coupling of Host and Electrolyte Achieving 1270 Wh L−1 in Anode‐Free Lithium Metal Batteries

Advanced Materials, EarlyView.
A synergistic combination of a highly reversible host and a commercially viable carbonate‐rich electrolyte enables simultaneous stabilization of both anode and cathode interfaces in anode‐free lithium metal batteries. This integrated strategy delivers exceptional reversibility and a record volumetric energy density of 1270 Wh L−1 (including package) in
Dong‐Yeob Han, Saehun Kim, Junsu Son, Sangwon Lee, Sungjin Cho, Donghyun Lee, Jiyoon Lee, Tae Kyung Lee, Nam‐Soon Choi, Soojin Park   +9 more
wiley   +1 more source

Institutional Determinants of Academic Achievement in Biomedical Sciences: A Cross-Sectional Study of Nursing Students in Uganda. [PDF]

Adv Med Educ Pract
Munguiko C, Ngeno ACK, Atukwatse J, Museene SK.   +3 more
europepmc   +1 more source

Facilitators to doctoral completion among international students in a Global South University: An appreciative inquiry perspective. [PDF]

PLoS One
Zhang S, Zhan H.
europepmc   +1 more source

Influential factors of school bullying among junior high school students: an analysis based on hierarchical linear models. [PDF]

Front Psychol
Wang Y, Li X, Song N, Jiang C, Liu P.
europepmc   +1 more source