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Guest Segregation in Heteromeric Multicage Systems.
J Am Chem Soc
January 2025
Department of Chemistry and Chemical Biology, TU Dortmund University, Otto-Hahn Str. 6, 44227 Dortmund, Germany.
Dynamically interconvertible metallo-supramolecular multicomponent assemblies, coexisting orthogonally in solution, serve as simplified mimics for complex networks found in biological systems. Building on recent advances in controlling the nonstatistical self-assembly of heteroleptic coordination cages and heteromeric completive self-sorting, i.e.
View Article and Find Full Text PDFLeft Insula and Right Middle Temporal Gyrus Dominate Cortical Network Discriminating Arousal-dependent Emotions.
Adv Sci (Weinh)
January 2025
Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
Emotion processing is an integral part of everyone's life. The basic neural circuits involved in emotion perception are becoming clear, though the emotion's cognitive processing remains under investigation. Utilizing the stereo-electroencephalograph with high temporal-spatial resolution, this study aims to decipher the neural pathway responsible for discriminating low-arousal and high-arousal emotions.
View Article and Find Full Text PDFAdaptation optimizes sensory encoding for future stimuli.
PLoS Comput Biol
January 2025
Department of Psychology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Sensory neurons continually adapt their response characteristics according to recent stimulus history. However, it is unclear how such a reactive process can benefit the organism. Here, we test the hypothesis that adaptation actually acts proactively in the sense that it optimally adjusts sensory encoding for future stimuli.
View Article and Find Full Text PDFUsed economy market insight: Sailboat industry pricing mechanism and regional effects.
PLoS One
January 2025
School of Statistics and Mathematics, Yunnan University of Finance and Economics, Kunming, Yunnan, China.
With the popularity of circular economy around the world, transactions in the second-hand sailboat market are extremely active. Determining pricing strategies and exploring their regional effects is a blank area of existing research and has important practical and statistical significance. Therefore, this article uses the random forest model and XGBoost algorithm to identify core price indicators, and uses an innovative rolling NAR dynamic neural network model to simulate and predict second-hand sailboat price data.
View Article and Find Full Text PDFSynergistic machine learning models utilizing ferroptosis-related genes for improved neuroblastoma outcome prediction.
Transl Pediatr
December 2024
Department of Pediatric Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Background: Neuroblastoma (NB) is a highly heterogeneous and common pediatric malignancy with a poor prognosis. Ferroptosis, an iron-dependent cell death pathway, may play a crucial role in NB tumor progression and immune response. This study aimed to investigate ferroptosis in NB to identify potential therapeutic targets and develop predictive models for prognosis and recurrence.
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