Results 91 to 100 of about 1,021,862 (272)
Causal reasoning in difference graphs
CoRRUnderstanding causal mechanisms across different populations is essential for designing effective public health interventions. Recently, difference graphs have been introduced as a tool to visually represent causal variations between two distinct populations.
openaire +4 more sources
Causal Artificial Intelligence in Legal Language Processing: A Systematic Review
EntropyRecent advances in legal language processing have highlighted limitations in correlation-based artificial intelligence approaches, prompting exploration of Causal Artificial Intelligence (AI) techniques for improved legal reasoning.
Philippe Prince Tritto, Hiram Ponce
doaj +1 more source
FEBS Letters, EarlyView.How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley +1 more source
Causal reasoning from almost first principles [PDF]
, 2023 A formal theory of causal reasoning is presented that encompasses both Pearl's approach to causality and several key formalisms of nonmonotonic reasoning in Artificial Intelligence.
Bochman, Alexander
core
RNA‐related functions of BRCA2 in transcription, replication, and genome stability
FEBS Letters, EarlyView.Beyond its role in homologous recombination, BRCA2 regulates R‐loop homeostasis, DNA–RNA hybrid resolution, RNA polymerase II dynamics, and transcriptional activation. Disruption of any of these functions can contribute to genome instability, inflammatory signaling, and tumorigenesis. BRCA2 is a central tumor suppressor protein best known for its roles
Lucia Alvaro‐Aranda +2 more
wiley +1 more source
A quantum probability model of causal reasoning
Frontiers in Psychology, 2012 People can often outperform statistical methods and machine learning algorithms in situations that involve making inferences about the relationship between causes and effects. While people are remarkably good at causal reasoning in many situations, there
Jennifer S Trueblood, Jerome R Busemeyer
doaj +1 more source
Artificial molecular machines and motors—Design and control of nanoscale motion
FEBS Letters, EarlyView.Molecules are constantly moving because of thermal fluctuations, but random motion alone cannot be exploited to perform directional tasks. Artificial molecular machines use chemical, electrical, or light energy to bias this motion. Molecular shuttles, rotary motors, and supramolecular pumps illustrate how nanoscale movement can be controlled and ...
Leonardo Andreoni, Alberto Credi
wiley +1 more source
FEBS Letters, EarlyView.Heterodimeric amino acid transporters consist of SLC7 and SLC3 family proteins arranged in a conserved structural organization. They regulate nutrient transport across cell membranes, supporting essential cellular functions. These transporters also contribute to xenobiotic/drug uptake and distribution.
Mariafrancesca Scalise +5 more
wiley +1 more source
Journal of Statistics and Data Science EducationCalls to incorporate causal reasoning into undergraduate statistics education have grown in recent years, yet resources remain scarce. This article presents a sequence of five activities designed to help students transition from correlational to causal ...
Eric W. Chan
doaj +1 more source
Metastatic niche shaped by host factors influences disseminated cancer cell fate
FEBS Letters, EarlyView.Metastasis is shaped not only by cancer cells but also by the environments they encounter. This review explores how factors such as aging, diet, the microbiome, lifestyle, and environmental exposures remodel organ‐specific niches in the lung, liver, bone, and brain, influencing where metastatic cells survive, remain dormant, or grow, and ultimately ...
Gwennan Delyth Ward +2 more
wiley +1 more source