Fractal Analysis of Brain Activity During Risky Drinking in Adolescents and Young Adults. [PDF]
Madden D +5 more
europepmc +1 more source
ABSTRACT Cryptocurrency markets are known for their wide price fluctuations, lack of central control, and fast‐paced development. These characteristics present serious challenges to traditional theories about how markets work and how prices reflect available information.
Giulia Fantini, Joy Jia, Chiara Oldani
wiley +1 more source
Multiscale Characterization and Mobility Evaluation of Storage Space in Laminated Shale Reservoirs: A Case Study of the Qingshankou Formation, Southern Songliao Basin. [PDF]
Wang H +8 more
europepmc +1 more source
Beyond the Moderating Role of Neuroticism on Evaluative Conditioning: Threat Appraisal
ABSTRACT Objective Reality perception is often altered by general dispositional factors that are associated with emotional vulnerability, both inherited and acquired, that emerge in a specific learning context. The current study will examine whether neuroticism and looming cognitive style, factors that account for emotional vulnerability, interact in a
Darian Faur, Florin Alin Sava
wiley +1 more source
Multifractal analysis and support vector machine for the classification of coronaviruses and SARS-CoV-2 variants. [PDF]
Correia JP, Silva LRD, Silva R.
europepmc +1 more source
Abstract Heart rate variability (HRV) is a sensitive marker of autonomic regulation. This study examined adolescents in the long‐term postoperative period after early surgical correction of aortic coarctation (CoA) compared with age‐matched healthy peers. Seventy adolescents (35 CoA, 35 controls; 12–17 years) underwent 5‐min resting ECG and respiratory
O. V. Shevaldova +5 more
wiley +1 more source
A Hilbert Transform for Matrix Functions on Fractal Domains
Ricardo Abreu Blaya +4 more
openalex +2 more sources
Crack Development and Healing in Guar Gum Polymer-Modified Silty Clay Under Natural Wetting-Drying Cycles. [PDF]
Hou W, Jiang X, Wang X, Wang D, Du D.
europepmc +1 more source
Large Language Models as Calibration Agents in Hydrological Modeling: Feasibility and Limitations
Abstract Large language models (LLMs) represent the forefront of artificial intelligence, exhibiting substantial potential for advancing understanding and reasoning in complex Earth system sciences. Hydrological modeling, essential for water resource management and Earth system knowledge, predominantly relies on traditional calibration paradigms and ...
Zhanliang Zhu +7 more
wiley +1 more source
Identification of cancerous tissues based on residual neural network. [PDF]
Liu Y +7 more
europepmc +1 more source

