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
Deubiquitinase MoAMSH inhibits autophagy by targeting MoAtg6 in Magnaporthe oryzae. [PDF]
Liao J +13 more
europepmc +1 more source
What's New? The CDK4/6 inhibitor ribociclib in combination with an endocrine‐based therapy has demonstrated significant progression‐free and overall survival benefits in patients with advanced/metastatic HR+/HER2‐ breast cancer in the pivotal MONALEESA trials.
Peter A. Fasching +20 more
wiley +1 more source
Dynamic interaction of the Yersinia pseudotuberculosis type three secretion system proteins LcrV and LcrG. [PDF]
Mangu JCK +9 more
europepmc +1 more source
Designing Low Dropout Regulator for Power Efficiency
Saranya C, Aswathy B S
openaire +1 more source
A Capacitor-Free, Fast Transient Response Linear Voltage Regulator In a 180nm CMOS [PDF]
Deleuran, Alexander N. +4 more
core +2 more sources
ABSTRACT One of the critical risks associated with cryptocurrency assets is the so‐called downside risk, or tail risk. Conditional Value‐at‐Risk (CVaR) is a measure of tail risks that is not normally considered in the construction of a cryptocurrency portfolio.
Xinran Huang +3 more
wiley +1 more source
DistRMI: a deep distance-aware neural network for explainable RNA loop motif-small molecule interaction prediction. [PDF]
Liu Z +6 more
europepmc +1 more source
Psychosocial and menstrual correlates of premenstrual disorders: A community‐based study
Abstract Objective To assess the background, psychosocial, and menstrual factors associated with premenstrual syndrome (PMS) and premenstrual dysphoric disorder (PMDD) in a community‐based cohort. Methods A prospective cohort study was conducted using data from users of a menstrual tracking application.
Shiori Itoi +6 more
wiley +1 more source
Detecting illicit transactions in bitcoin: a wavelet-temporal graph transformer approach for anti-money laundering. [PDF]
Lin Z +6 more
europepmc +1 more source

