Whole-genome sequencing in Brazilian patients with neurofibromatosis type 1, including novel variants, incidental findings, and dual diagnoses. [PDF]
Angeloni LL +31 more
europepmc +1 more source
Decision Theory and Proof Standards for Future Crimes: Possible Uses and Open Questions
ABSTRACT What should be the proof standard for applying preventive criminal sanctions based on an establishment of risk of reoffending? This is an open question in legal systems around the world. Various authors suggest that we can answer it by using decision theory. This approach conceptualises the proof standard as a probabilistic threshold. A person
Hylke Jellema, Johannes Bijlsma
wiley +1 more source
A rare case of familial chylomicronemia in infancy due to homozygous <i>LMF1</i> variant. [PDF]
Kumar PR +5 more
europepmc +1 more source
ABSTRACT The imposition of preventive sanctions on offenders—ranging from preventive detention to community supervision—generally requires that the offender is held to be “dangerous”: a legal “dangerousness criterion” must be met. This article shows that in Dutch criminal law, these dangerousness criteria are vague. They fail to define, or define in an
Max de Vries
wiley +1 more source
Pharmacological readthrough and base editing for <i>ANK1</i> nonsense mutations in an erythroid model of hereditary spherocytosis. [PDF]
Li S +8 more
europepmc +1 more source
From Need to Deed: A Concrete Construal Account of Need‐Based Object Valuation
ABSTRACT Need‐based object valuation is when consumers place greater valuations on objects that fulfill their needs. Despite its pervasiveness as a consumer behavior phenomenon, the psychological drivers behind it are not fully understood. This research examines concrete construal level as one mechanism of need‐based object valuation.
Anthony Salerno +3 more
wiley +1 more source
A novel homozygous <i>CREB3L3</i> variant associated with severe hypertriglyceridaemia: a case report. [PDF]
Kalkan I +4 more
europepmc +1 more source
Laminar Burning Velocity of Ammonia‐Hydrogen Mixtures Predicted by Machine Learning
Ammonia–hydrogen blends aid defossilization, but slow combustion kinetics require complex modeling. Although chemical kinetic modeling is computationally expensive, machine learning surrogates offer fast predictions. This study trained GPR, DT, and ANN models on 1445 experimental points.
Georg Klepp +2 more
wiley +1 more source
Comprehensive Clinical, Neuroradiologic, and Oral Health of 23 Individuals With MOPDII: Molecular Spectrum and Phenotypic Features. [PDF]
Akalın A +18 more
europepmc +1 more source

