Research progress on the depth of anesthesia monitoring based on the electroencephalogram
Electroencephalogram (EEG) can noninvasive, continuous, and real‐time monitor the state of brain electrical activity, and the monitoring of EEG can reflect changes in the depth of anesthesia (DOA). The development of artificial intelligence can enable anesthesiologists to extract, analyze, and quantify DOA from complex EEG data.
Xiaolan He, Tingting Li, Xiao Wang
wiley +1 more source
Lexical feature analysis of Chinese informed consent forms based on the information entropy methods: A paired study of minor and their guardian' version. [PDF]
Yang Q +7 more
europepmc +1 more source
Household Consumption Intentions by Income Group During Monetary Policy Easing and Tightening
ABSTRACT We investigate how the monetary policy interest rate affects Brazilian households' consumption intentions under two distinct regimes: monetary easing and tightening cycles. Using data from low‐ and high‐income households, we assess both the magnitude and the dynamics of this relationship.
Helder Ferreira de Mendonça +1 more
wiley +1 more source
Progress and stagnation: A comparative study of gender representation in Chinese language textbooks for junior high school between 2001 edition and 2023 edition. [PDF]
Yang X, Sun Y, He H.
europepmc +1 more source
Abstract Objectives This study compares maternal and neonatal outcomes between preterm vacuum and forceps‐assisted vaginal births and evaluates preterm outcomes between those <34 + 0 weeks gestation to those ≥34 + 0. Methods This study is a single‐center retrospective cohort study of all singleton assisted vaginal births during 2014–2021. Delivery data
Caroline Leps +7 more
wiley +1 more source
Skin Tone Representation of Early Lyme Disease in Medical Education Resources: Gaps and Implications for Equity. [PDF]
Baffoe-Mensah N, Lipoff JB, Forke CM.
europepmc +1 more source
From Reactive to Proactive Volatility Modeling With Hemisphere Neural Networks
ABSTRACT We revisit maximum likelihood estimation (MLE) for macroeconomic density forecasting through a novel neural network architecture with dedicated mean and variance hemispheres. Our architecture features several key ingredients making MLE work in this context.
Philippe Goulet Coulombe +2 more
wiley +1 more source
Task-technology fit and digital textbook usage outcomes: The mediating role of positive emotion within an S-O-R framework. [PDF]
Mi N, Fan C.
europepmc +1 more source
Forecasting Related Time Series
ABSTRACT A collection of time series are “related” if they follow similar stochastic processes and/or they are statistically dependent. This paper proposes a related time series (RTS) forecasting model that exploits these relationships. The model's foundation is a set of univariate Gaussian autoregressions, one for each series, which are then augmented
Ulrich K. Müller, Mark W. Watson
wiley +1 more source
Inclusion of "palliative care pharmacology" as a new chapter in the pharmacology textbook for medical undergraduate students: A strength, weakness, opportunity, and threat analysis. [PDF]
Chaturvedi A +3 more
europepmc +1 more source

