Fuel‐Supply–limited Stellar Relaxation Oscillations: Application to Multiple Rings around Asymptotic Giant Branch Stars and Planetary Nebulae [PDF]
H. M. van Horn +3 more
openalex +1 more source
Warm, water-depleted rocky exoplanets with surface ionic liquids: A proposed class for planetary habitability. [PDF]
Agrawal R +8 more
europepmc +1 more source
ABSTRACT This study sets out to investigate the prospects for raising oil palm output in sub‐Saharan Africa, particularly Ghana, without further expansion of cropland. Given global concerns about oil palm's role in deforestation and land use change, the focus is on enhancing productivity on existing farmlands.
Jacob Asravor +3 more
wiley +1 more source
On the Planetary Interpretation of Multiple Gaps and Rings in Protoplanetary Disks Seen By ALMA
Ryan Miranda, Roman R. Rafikov
openalex +1 more source
Observing Planetary Rings with JWST: Science Justification and Observation Requirements [PDF]
Matthew S. Tiscareno +12 more
openalex +1 more source
Discriminating abiotic and biotic organics in meteorite and terrestrial samples using machine learning on mass spectrometry data. [PDF]
Saeedi D +4 more
europepmc +1 more source
Laparoscopic Colorectal Surgery in the Era of Robotics: Evolution, Eclipse, or Equilibrium?
ABSTRACT Minimally invasive colorectal surgery has undergone a remarkable transformation over the past three decades. Laparoscopy, once viewed with skepticism, is now firmly established as a standard approach, supported by robust randomized trials demonstrating oncologic safety and improved recovery compared to open surgery.
Amanjeet Singh +3 more
wiley +1 more source
C<sub>20</sub> and nitrogen-substituted fullerenes: anharmonic IR and UV-vis spectra for astrophysical environments. [PDF]
Karri VL +3 more
europepmc +1 more source
Predicting Performance of Hall Effect Ion Source Using Machine Learning
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source

