Results 251 to 260 of about 241,122 (289)
Automation and Augmentation in Theological Perspective
Abstract AI enables forms of automation that threaten unemployment and deskilling, eliminating important opportunities for the development of virtue. The concomitant loss of virtue and meaningful employment makes it a theological problem from the perspective of Catholic social teaching and theological anthropology.
Paul Scherz
wiley +1 more source
EpiSegMix: a flexible distribution hidden Markov model with duration modeling for chromatin state discovery. [PDF]
Schmitz JE +5 more
europepmc +1 more source
Analysing Complex Life Sequence Data with Hidden Markov Modelling
Satu Helske, Jouni Helske, Mervi Eerola
openalex +1 more source
Summary High‐throughput molecular studies of museum specimens (museomics) have great potential in biodiversity research, but fungal historical collections have scarcely been examined, leading to no comprehensive methodological assessments. Here we present a whole genome sequencing (WGS) project conducted at the Fungarium of the Royal Botanic Gardens ...
Torda Varga +24 more
wiley +1 more source
A Bayesian hierarchical hidden Markov model for clustering and gene selection: Application to kidney cancer gene expression data. [PDF]
Chekouo T, Mukherjee H.
europepmc +1 more source
Summary Arbuscular mycorrhizal fungi (AMF) are widespread plant symbionts that enhance nutrient acquisition and influence ecosystem productivity. Previous chromosome‐level assemblies of the model species Rhizophagus irregularis revealed a two‐compartment genome architecture (active A and repressed B chromatin compartments), yet its conservation across ...
Ken Mugambi +10 more
wiley +1 more source
Brain state and dynamic transition patterns of motor imagery revealed by the bayes hidden markov model. [PDF]
Liu Y +8 more
europepmc +1 more source
Structure and sequence evolution in the pennycress (Thlaspi arvense) pangenome
Summary Eukaryotic genomes harbor many forms of variation, including nucleotide diversity and structural polymorphisms, which experience natural selection and contribute to genome evolution and biodiversity. Harnessing this variation for agriculture hinges on our ability to detect, quantify, catalog, and deploy genetic diversity. Here, we explore seven
Kevin A. Bird +25 more
wiley +1 more source
An intelligent model to decode students' behavioral states in physical education using back propagation neural network and Hidden Markov Model. [PDF]
Li L.
europepmc +1 more source
Summary Plant resistance influences the host range of pathogens; however, the mechanism driving this influence remains poorly understood. Brassicaceae species are not natural hosts of potexviruses, for reasons that have not yet been determined. This study investigated the molecular basis of nonhost resistance (NHR) to potexviruses in the Brassicaceae ...
Takumi Suzuki +11 more
wiley +1 more source

