Machine learning-based prediction of the axial load capacity of UHPC strengthened reinforced concrete columns: A comparative analysis. [PDF]
Hoang VH, Tran MQ, Ngo VT.
europepmc +1 more source
Advances in Position‐Momentum Entanglement: A Versatile Tool for Quantum Technologies
Position–momentum entanglement constitutes a high‐dimensional continuous‐variable resource in quantum optics. Recent advances in its generation, characterization, and control are reviewed, with emphasis on spontaneous parametric down‐conversion and modern measurement techniques.
Satyajeet Patil +6 more
wiley +1 more source
Thermodynamically consistent machine learning model for excess Gibbs energy. [PDF]
Hoffmann M +6 more
europepmc +1 more source
Germanium‐Based Mid‐Infrared Integrated Photonics
The mid‐infrared (mid‐IR) spectral range is a part of the electromagnetic spectrum in which most of the molecules have vibrational and rotational resonances. Photonics integration in this wavelength range have thus seen a burst of interest in the recent years, mainly driven by applications related with the detection of chemical and biological ...
Delphine Marris‐Morini +6 more
wiley +1 more source
Intermediates of forming transition metal dichalcogenide heterostructures revealed by machine learning simulations. [PDF]
Zhao L +6 more
europepmc +1 more source
This work introduces two types of bound states in the continuum (BICs) and their merging in a waveguide‐resonator system, which significantly enhances the quality factor (Q$Q$). Benefiting from the high‐Q$Q$ characteristics of quasi‐BICs, a sensitivity‐tunable complex permittivity sensor is developed based on this system, achieving improvements of 93 ...
Yuhang Yang +7 more
wiley +1 more source
Minimal correlation but complementary diagnostic utility for plasma cell-free RNA and proteins. [PDF]
Bliss A +8 more
europepmc +1 more source
Back to the Mission. Revisiting Slack in Nonprofits and Introducing Tappable Slack
ABSTRACT This article contributes to and develops the previous literature on excess resources (“slack”) in nonprofit organizations through a conceptual analysis of the implications that the organizational distinctiveness of nonprofits carries for our understanding of slack in these organizations.
Marta Reuter +2 more
wiley +1 more source
Mapping Research Trends in AI-Based Tourism and Hospitality Marketing: A Bibliometric and Thematic Review. [PDF]
Tyagi PK +4 more
europepmc +1 more source
ABSTRACT With the aim to explore the potential of machine learning for nonprofit research, this article contrasts traditional linear regression with four contemporary supervised machine learning approaches. Concretely, we predict (1) reputation ratings and (2) the total number of volunteers for 4021 non‐profit organizations in the U.S.
Moritz Schmid +2 more
wiley +1 more source

