Results 181 to 190 of about 903,809 (317)

Sub‐Terahertz Memristor Switches Using MoS2 by Liquid–Liquid Interface Assembly

Advanced Science, EarlyView.
This work introduces application‐ready sub‐terahertz memristor switches fabricated from electrochemically exfoliated MoS2 nanosheets assembled at a liquid–liquid interface. The devices exhibit robust unipolar resistive switching, low insertion loss, and high isolation across 10–110 GHz.
Tomás Mingates, Mohamed E. Ghatas, Jonas Deuermeier, Adam G. Kelly, Joseph Neilson, Jonathan N. Coleman, Luís Mendes, João C. Vaz, Sérgio Matos, Luca Lucci, Antonio Clemente, Zdeněk Sofer, Luís M. Pessoa, Elvira Fortunato, Rodrigo Martins, Asal Kiazadeh   +15 more
wiley   +1 more source

ADAM Report #35 (December 2002)

, 2002
ADAM REPORT # 35, December 2002 1. Wage Trends • Wage Increases in September 2002 Quarter Certified Agreements • High wage Outcomes in September 2002 Quarter Agreements • Factors determining wage increases in agreements • Wage outcomes in currently ...
ACIRRT; Australian Centre for Industrial Relations Research and Training
core  

Correction: Study protocol for the: HIV enhanced access testing in emergency department program using a systems analysis and improvement approach (HEATED-SAIA) cluster randomized trial. [PDF]

Implement Sci Commun
Aluisio AR, Loevinsohn G, Chondo E, Nderitu A, Bruba M, Adam A, Baird J, Galárraga O, Wilson-Barthes M, Sarker M, Mandaliya K, Kinuthia J, Bosire R, Wachira B, Gross Z, Cherutich P, Wanje G, McClelland RS, Eastment MC.   +18 more
europepmc   +1 more source

De Novo Design of Membrane‐Targeting Antimicrobial Peptides Against Gram‐Negative Bacteria Using a Generative Artificial Intelligence Framework

Advanced Science, EarlyView.
Antimicrobial resistance caused by Gram‐negative bacteria remains difficult to overcome due to the protective outer membrane. To address this challenge, a multi‐condition constrained generative AI framework, GenMTAMP is proposed for de novo membrane‐targeting antimicrobial peptide design by integrating physicochemical and spatial structure descriptors.
Jingxiao Yu, Da‐Wen Sun, QingYi Wei, Yibing Zhang, Jidong Tang, Hongbin Pu   +5 more
wiley   +1 more source

Vaughan, Adam

Dr. Adam Vaughan holds a PhD in Criminology from Simon Fraser University and works as a Michael Smith Foundation for Health Research Policy Fellow as well as a Research Associate for JIBC.

core  

ADAM Report #42 (September 2004)

, 2004
ADAM REPORT # 42, SEPTEMBER 2004 1. Wage Trends • Wage increases in June 2004 Quarter Agreements • High wage outcomes in June 2004 quarter agreements • Wage outcomes in current Collective Agreements 2. Special Issue – W(h)ither performance pay?
ACIRRT; Australian Centre for Industrial Relations Research and Training
core  

Patterns of CDSS adoption in primary care: a cluster analysis and predictive modelling study from a stepped wedge trial. [PDF]

Implement Sci
Basten J, Köberlein-Neu J, Ihle P, Meyer I, Timmesfeld N, eHealth COMPATH Study Group.   +5 more
europepmc   +1 more source

Microblasting Wound Dressings Mechanically Disrupt Polymicrobial Biofilms to Enhance Healing in Treatment‐Resistant Wounds

Advanced Science, EarlyView.
Treatment‐resistant wounds caused by polymicrobial biofilms are refractory to conventional therapies due to the dense extracellular matrices. We developed μBLAST, a microblasting wound dressing that combines MnO2‐doped biosilica and a H2O2‐releasing mesh to generate localized oxygen microbubbles that mechanically disrupt biofilms.
Yujin Ahn, Joo Hun Lee, Christian Hurd, Jiye Lee, Junggeon Park, Adam A. Markowicz, Zheyuan Zhang, Joanne Hwang, Guillermo L. Monroy, Simon A. Rogers, Woonggyu Jung, Stephen A. Boppart, Hyunjoon Kong   +12 more
wiley   +1 more source

Outcomes of lynch syndrome endometrial surveillance in the Netherlands. [PDF]

EClinicalMedicine
Scott M, Rosenthal AN.
europepmc   +1 more source

Machine‐Learning‐Enhanced Printed Vertical Magnetoresistive Sensors for Transparent, Flexible, Multimodal Interactive Magnetoelectronics

Advanced Science, EarlyView.
This study presents printed magnetoresistive sensors with a vertically aligned architecture that enables high optical transparency and mechanical flexibility. By integrating deep learning for the analysis of complex spatiotemporal signal patterns, the system further achieves intelligent multimodal interaction capabilities.
Rui Xu, Guannan Mu, Oleksandr V. Pylypovskyi, Qihao Zhang, Rico Illing, René Hübner, Ran He, Andreas Knüpfer, Sebastian Lehmann, Olha Bezsmertna, Kornelius Nielsch, Denys Makarov   +11 more
wiley   +1 more source