Results 81 to 90 of about 14,830,215 (249)
Causal misspecifications in econometric models [PDF]
We bridge together the graph-theoretic and the econometric approach for defining causality in statistical models to consider model misspecification problems.
Itkonen, Juha
core
Causal Factors Influencing the Mathematical Reasoning Ability of Grade 6 Students
Background/purpose. This study aimed to develop and validate a causal model of factors influencing the mathematical reasoning ability of Grade 6 students in Thailand. Materials/methods. The sample consisted of 530 students selected through multi-stage
Kamonporn Khontee, Apantee Poonputta
doaj +1 more source
The Importance of Teleworking and Its Implications for Industry 5.0: A Case Study
Teleworking became popular in the 1970s as a response to the energy crisis resulting from the rise in oil prices, and its adoption increased exponentially during the COVID-19 pandemic as an isolation measure to avoid contagion and ensure business ...
Arturo Bedon +4 more
doaj +1 more source
Septin 9 polybasic domains couple phosphoinositide‐rich membrane binding to centrosome positioning, Golgi organization, and microtubule acetylation to control epithelial polarity. Their loss disrupts this axis, causing centrosome mispositioning, Golgi fragmentation, reduced microtubule acetylation, and polarity inversion via upregulation of the ...
Ting ting Cai +4 more
wiley +1 more source
The objectives of this research are to 1) create a causal relationship model for political management in order to form sustainable policies under Thai environmental law.
Pruethsan Sutthichaimethee +3 more
doaj +1 more source
Degradation mechanism of the von Willebrand factor A2 domain by nattokinase
Nattokinase, a natto‐derived protease, exhibits potent antithrombotic effects. This study demonstrates that nattokinase directly cleaves the von Willebrand factor (vWF) A2 domain in vitro. Unlike the native regulator ADAMTS13, nattokinase degrades folded vWF independently of shear stress.
Ryuichi Hyakumoto +3 more
wiley +1 more source
Deep Reinforcement Learning (DRL) has achieved remarkable success in robotic control, autonomous driving, and game-playing agents. However, its decision-making process often remains a black box, lacking both interpretability and verifiability. In robotic
Xiaoqing Zhu +4 more
doaj +1 more source
Causal Structure Learning Algorithm Based on Causal Autoregressive Flow Model [PDF]
The causal autoregressive flow model has realized promising results on the causal direction inference problem when the noise is affected by parent nodes.
Xiaojin LU, Wei CHEN, Zhifeng HAO, Ruichu CAI
doaj +1 more source
We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
wiley +1 more source
Causal hierarchy within the thalamo-cortical network in spike and wave discharges [PDF]
Background: Generalised spike wave (GSW) discharges are the electroencephalographic (EEG) hallmark of absence seizures, clinically characterised by a transitory interruption of ongoing activities and impaired consciousness, occurring during states of ...
Lemieux, L. +59 more
core +1 more source

