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An Extensive Study of an Eco-Friendly Fireproofing Process of Lignocellulosic × Particles and Their Application in Flame-Retardant Panels.
Polymers (Basel)
January 2025
Laboratory of Physical Chemistry of Materials (LCPM), Campus Fanar, Faculty of Sciences II, Lebanese University, Fanar, Jdeidet P.O. Box 90656, Lebanon.
Increasing the flame retardancy of lignocellulosic materials such as × can effectively enable their wide use. This study examines the fireproofing process of Miscanthus particles using an eco-friendly process by grafting phytic acid and urea in aqueous solution. Miscanthus particles underwent a steam explosion step before being grafted.
View Article and Find Full Text PDFAn Expert Consensus Statement for Implementing Cognitive Behavioral Therapy for Nightmares in Adults.
Behav Sleep Med
January 2025
Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
Objectives: Research supports cognitive behavioral therapies for nightmares (CBT-N) in adults. However, the nuances of implementation and unstandardized nomenclature for treatment components has created confusion in the field. To provide clarification, an expert consensus panel convened to review treatment manual components and to develop guidelines for the standardized implementation and terminology of CBT-N.
View Article and Find Full Text PDFThe lack of thematic continuity in dreams with scene and plot discontinuities.
Sleep Adv
December 2024
EPISTEME Research and Strategy, Brooklyn, NY, USA.
A central tenet of Freudian dream theory holds that there is thematic coherence within all dreams, even those containing scene and plot discontinuities. While other models support varying degrees of dream coherence, none address the question of how, or even whether, coherence can be identified in dreams with such discontinuities. Here, we objectively test the ability of judges to evaluate the coherence of individual dream narratives.
View Article and Find Full Text PDFAssessment of human emotional reactions to visual stimuli "deep-dreamed" by artificial neural networks.
Front Psychol
December 2024
Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, United States.
Introduction: While the fact that visual stimuli synthesized by Artificial Neural Networks (ANN) may evoke emotional reactions is documented, the precise mechanisms that connect the strength and type of such reactions with the ways of how ANNs are used to synthesize visual stimuli are yet to be discovered. Understanding these mechanisms allows for designing methods that synthesize images attenuating or enhancing selected emotional states, which may provide unobtrusive and widely-applicable treatment of mental dysfunctions and disorders.
Methods: The Convolutional Neural Network (CNN), a type of ANN used in computer vision tasks which models the ways humans solve visual tasks, was applied to synthesize ("dream" or "hallucinate") images with no semantic content to maximize activations of neurons in precisely-selected layers in the CNN.
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