Auditory Stimulation of Slow‐Wave Sleep Promotes Recovery after Brain Injury in an Animal Model
Objective Traumatic brain injury (TBI) significantly reduces the quality of life for millions of survivors worldwide, causing persistent brain tissue damage and cognitive impairments, with no established therapeutic interventions currently available.
Carlos G. Moreira +9 more
wiley +1 more source
Behavioral Analysis of Postgraduate Education Satisfaction: Unveiling Key Influencing Factors with Bayesian Networks and Feature Importance. [PDF]
Li S, Wang T, Yin H, Ding S, Cai Z.
europepmc +1 more source
Genetic‐Proteomic Integration Identifies Predictive Plasma Proteins for Multiple Sclerosis
Objective Multiple sclerosis (MS) develops after a prolonged preclinical phase. Identifying circulating biomarkers that capture this early biology can improve risk stratification and guide intervention. We aimed to identify plasma proteins driving MS susceptibility using large‐scale proteogenomic integration and to evaluate their prediagnostic ...
Yuan Ding +5 more
wiley +1 more source
Dynamic Bayesian Networks, Elicitation, and Data Embedding for Secure Environments. [PDF]
Drury K, Smith JQ.
europepmc +1 more source
Acute Myeloid Leukemia Genome Characterization Study and Subtype Classification Employing Feature Selection and Bayesian Networks. [PDF]
Li Z, Li J, Li S, Wang Y, Wang J.
europepmc +1 more source
Automated Dynamic Flow Experimentation for Rapid Kinetic Fitting of Transition Metal Catalysis
We have developed an automated dynamic flow experimentation platform to automatically fit and identify the most accurate kinetic model from a generated set of candidates. Three transition metal‐catalyzed transformations were performed using this workflow.
Florian L. Wagner +3 more
wiley +1 more source
Understanding Factors Influencing HIV pre-exposure prophylaxis adherence among men who have sex with men in Western China: a data-driven exploration using bayesian networks. [PDF]
Wang Q +5 more
europepmc +1 more source
Application of Elastic networks and Bayesian networks to explore influencing factors associated with arthritis in middle-aged and older adults in the Chinese community. [PDF]
Zhong T +7 more
europepmc +1 more source
Use of Bayesian networks in Brazil high school educational database: analysis of the impact of COVID-19 on ENEM in Pará between 2019 and 2022. [PDF]
Santos SMD +3 more
europepmc +1 more source

