Results 161 to 170 of about 74,044 (308)

MASER as an Open Science Pilot for Low Frequency Radio Astronomy

The MASER project proposes a tool-box for open science in low frequency radio astronomy (mostly: solar radio bursts and magnetospheric planetary radio emissions). This includes a data repository for publishing digital objects (dataset, catalogues, documents...), with a DOI for citation, and a set of interoperable interfaces to discover and access the ...
Cecconi, Baptiste, Debisschop, Laura, Aicardi, Stéphane, Savalle, Renaud   +3 more
openaire   +1 more source

Reentrant superconductivity in a naturally occurring Josephson junction array tuned by radio-frequency power. [PDF]

Nat Commun
Avraham S, Sankar S, Sandik S, Burshtein A, Goldstein M, Sela E, Dagan Y.   +6 more
europepmc   +1 more source

Leveraging Multimodal Large Language Models to Analyse Student Exploration Behaviours in Educational Game Environments

Journal of Computer Assisted Learning, Volume 42, Issue 4, August 2026.
ABSTRACT Background Video data provides rich opportunities to examine student behaviour in game‐based learning environments, capturing not only observable actions but also subtle indicators of cognitive engagement. However, traditional video analysis is labor‐intensive, and current applications of AI to this task are limited by models trained on ...
Yiqiu Zhou, Xiner Liu, Andres Felipe Zambrano, Luc Paquette, Amanda Barany, Jaclyn Ocumpaugh, Ryan S. Baker, Jeff Ginger   +7 more
wiley   +1 more source

Optical frequency comb integration in radio telescopes: advancing signal generation and phase calibration. [PDF]

Light Sci Appl
Hyun M, Ahn C, Choi J, Baek J, Jeong W, Je DH, Byun DY, Wagner J, Heo MS, Jung T, Kim J.   +10 more
europepmc   +1 more source

Accelerating Perovskite Solar Cell Development Through High‐Throughput Technologies: Computational Simulation, Automated Experimentation, and Intelligent Integration

Battery Energy, Volume 5, Issue 4, July 2026.
Moving beyond traditional trial‐and‐error, this review explores how integrating high‐throughput computational simulations, automated experimentation, and machine learning significantly accelerates perovskite solar cell development. By establishing intelligent, closed‐loop workflows, these synergistic technologies pave the way for fully autonomous ...
Yiming Wang, Ziwei Du, Yuhui Chen, Yicheng Qiu, Dong Yan, Bo Hou   +5 more
wiley   +1 more source

A radio oval above Earth's auroral oval. [PDF]

Sci Adv
Wu S, Whiter DK, Lamy L, Taubenschuss U, Zarka P, Collet B, Wang X, Fischer G, Ning H, Chen Y, Wang M, Ye S, Yao Z, Kurth WS, Luan X.   +14 more
europepmc   +1 more source

Development and Diagnostic Potential of a Handheld Probe Polarization‐Sensitive Optical Coherence Tomography in Oral Mucosa Imaging

International Journal of Imaging Systems and Technology, Volume 36, Issue 4, July 2026.
Handheld Probe Polarization‐Sensitive Optical Coherence Tomography for Oral Screening. ABSTRACT Early detection of oral cancer through routine screening is important. Therefore, developing noninvasive, good‐resolution, and cost‐effective screening tools that provide real‐time in vivo oral health imaging is paramount.
Ting Chang, Chung Yu Chang, Cheng Chieh Yang, Ying‐Ju Kuo, Wen Chuan Kuo   +4 more
wiley   +1 more source

Martian ionospheric response during the may 2024 solar superstorm. [PDF]

Nat Commun
Parrott J, Sánchez-Cano B, Svedhem H, Witasse O, Meggi D, Wilson C, Cardesín-Moinelo A, Müller-Wodarg I.   +7 more
europepmc   +1 more source

Low-frequency observations using high-altitude balloon experiments (LOBE)

, 2019
The frequency range below 30 MHz remains one of the last unexplored frequency ranges in radio astronomy However, Earth-based observations at these wavelengths are severely impeded, due to man-made radio frequency interference (RFI) and atmospheric ...
Verhoeven, C.J.M. (author), Sundaramoorthy, P.P. (author), Bentum, M, Verhoeven, C.J.M., Vertegaal, C, Vertegaal, C.J.C. (author), Sundaramoorthy, Prem, Bentum, M.J., Verma, Maneesh (author), Vertegaal, C; id_orcid, Verhoeven, Chris, Sundaramoorthy, P.P., Montagne, A.J.M. (author), Montagne, A.J.M., Verma, Maneesh, Bentum, MJ, Karunanithi, Visweswaran, Karunanithi, Visweswaran (author), Rajan, Raj Thilak, Bentum, M (author), Vertegaal, C.J.C., Montage, Anton, Rajan, R.T., Vertegaal, C J C, Rajan, R.T. (author)   +24 more
core  

GBT‐SAM: A Parameter‐Efficient Depth‐Aware Model for Generalizable Brain Tumor Segmentation on mp‐MRI

International Journal of Imaging Systems and Technology, Volume 36, Issue 4, July 2026.
ABSTRACT Gliomas are aggressive brain tumors that require accurate imaging‐based diagnosis, where automated segmentation plays a central role in assessing tumor morphology and guiding treatment decisions. Manual delineation of gliomas is time‐consuming and prone to variability, motivating the use of deep learning to improve consistency and alleviate ...
Cecilia Diana‐Albelda, Roberto Alcover‐Couso, Álvaro García‐Martín, Jesus Bescos, Marcos Escudero‐Viñolo   +4 more
wiley   +1 more source