Results 111 to 120 of about 549,710 (321)

What if we Find Nothing? Bayesian Analysis of the Statistical Information of Null Results in Future Exoplanet Habitability and Biosignature Surveys

open access: yesThe Astronomical Journal
Future telescopes will survey temperate, terrestrial exoplanets to estimate the frequency of habitable ( η _Hab ) or inhabited ( η _Life ) planets.
Daniel Angerhausen   +4 more
doaj   +1 more source

A Cold Stress‐Activated Endocrine Sentinel Chemical Hormone Promotes Insect Survival via Mitochondrial Adaptations Through the Adipokinetic Hormone Receptor

open access: yesAdvanced Science, EarlyView.
Seasonal cold adaptation is vital for insect survival, yet the molecular mechanisms linking diapause to mitochondrial resilience remain largely unresolved. We identify ascaroside C9 (asc‐C9) as a key endocrine signal that enhances diapause survival during cold stress by activating the AKHR–PGC1α–UCP4 axis, thereby driving cold‐induced lipolysis and ...
Jiao Zhou   +14 more
wiley   +1 more source

Equation of State Independent Determination on the Radius of a 1.4 M⊙ Neutron Star Using Mass–Radius Measurements

open access: yesThe Astrophysical Journal Letters
Traditional methods for determining the radius of a 1.4 M _⊙ neutron star ( R _1.4 ) rely on specific equation-of-state (EOS) models that describe various types of dense nuclear matter.
Chun Huang
doaj   +1 more source

Bayesian approach to extreme-value statistics based on conditional maximum-entropy method [PDF]

open access: yes, 2018
Recently, the conditional maximum-entropy method (abbreviated as C-MaxEnt) has been proposed for selecting priors in Bayesian statistics in a very simple way. Here, it is examined for extreme-value statistics. For the Weibull type as an explicit example,
Abe, Sumiyoshi
core   +1 more source

Bayesian Genome-wide TWAS method to leverage both cis- and trans- eQTL information through summary statistics [PDF]

open access: gold, 2020
Justin M. Luningham   +6 more
openalex   +1 more source

CLinNET: An Interpretable and Uncertainty‐Aware Deep Learning Framework for Multi‐Modal Clinical Genomics

open access: yesAdvanced Science, EarlyView.
Identifying disease‐causing genes in neurocognitive disorders remains challenging due to variants of uncertain significance. CLinNET employs dual‐branch neural networks integrating Reactome pathways and Gene Ontology terms to provide pathway‐level interpretability of genomic alterations.
Ivan Bakhshayeshi   +5 more
wiley   +1 more source

DualPG‐DTA: A Large Language Model‐Powered Graph Neural Network Framework for Enhanced Drug‐Target Affinity Prediction and Discovery of Novel CDK9 Inhibitors Exhibiting in Vivo Anti‐Leukemia Activity

open access: yesAdvanced Science, EarlyView.
This study introduces DualPG‐DTA, a framework integrating two pre‐trained models to generate molecular and protein representations. It constructs dual graphs processed by specialized neural networks with dynamic attention for feature fusion, achieving superior benchmark performance.
Yihao Chen   +7 more
wiley   +1 more source

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