Results 131 to 140 of about 35,745,185 (300)

ROS/pH‐Responsive Phenylboronic Acid–Chitosan Nanoparticles Improve Silymarin‐Mediated Hepatoprotection After Hepatectomy With Gut‐Liver Axis‐Associated Responses

Advanced Science, EarlyView.
Bioactive phenylboronic acid–chitosan nanoparticles enable responsive silymarin delivery for post‐hepatectomy liver protection. The nanoplatform integrates antioxidant and antibacterial functions, improves hepatic recovery, and is associated with coordinated shifts in gut microbiota, metabolites, cytokines, and hepatic proteomic pathways, suggesting a ...
Jinjin Tong, Chaochao Luo, Zezheng Liu, Xinyan Zhang, Daixu Jia, Yang Sun, Zhaonan Zhang, Haoran Shi, Jianfang Wang, Hua Zhang   +9 more
wiley   +1 more source

Analysis of Multivariate Indoor Building Data: A Comparative Study of Time-Series Clustering Methods

IEEE Access
Clustering multivariate time-series data is crucial for uncovering complex temporal patterns in dynamic environments, such as building indoor conditions and behavior where variables like temperature, humidity, and CO2 concentration evolve simultaneously.
Quoc-Dung Ngo, Ly-Huynh Phan
doaj   +1 more source

A time series causal model [PDF]

Cause-effect relations are central in economic analysis. Uncovering empirical cause-effect relations is one of the main research activities of empirical economics.
Chen, Pu
core  

Deep coupling network for multivariate time series forecasting

Multivariate time series (MTS) forecasting is crucial in many real-world applications. To achieve accurate MTS forecasting, it is essential to simultaneously consider both intra- and inter-series relationships among time series data.
Zhang, Qi, An, Ning, Yi, Kun, Hu, Liang, Hui He, Niu, Zhendong, He, Hui   +6 more
core   +1 more source

Nuclear Translocation of PFKFB3 Promotes Disuse‐Induced Muscle Atrophy via Scaffolding Nedd4‐Mediated JunB Ubiquitination

Advanced Science, EarlyView.
Disuse‐induced muscle atrophy is driven by a non‐metabolic, nuclear function of the enzyme PFKFB3. Acting as a scaffold, PFKFB3 facilitates Nedd4‐mediated ubiquitination and degradation of the anti‐atrophy transcription factor JunB. Inhibiting this novel PFKFB3–Nedd4–JunB signaling axis stabilizes JunB and alleviates muscle wasting, revealing a highly ...
Mengjun Ma, Yinliang Liu, Wangchang Wu, Biao Yang, Jiahao Zhuang, Haoye Yu, Rujia Mi, Yixuan Lu, Wen Yang, Hanting Yi, Chenglong Yuan, Yinfeng Gu, Hongyu Li   +12 more
wiley   +1 more source

Solar Flare Prediction Using Multivariate Time Series of Photospheric Magnetic Field Parameters: A Comparative Analysis of Vector, Time Series, and Graph Data Representations

Remote Sensing
The purpose of this study is to provide a comprehensive resource for the selection of data representations for machine learning-oriented models and components in solar flare prediction tasks.
Onur Vural, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi   +2 more
doaj   +1 more source

Brain Network Dynamics of Local and Global Predictive Processing in Aging

Advanced Science, EarlyView.
Separation of concurrent whole‐brain networks in source‐reconstructed magnetoencephalography (MEG) data suggests that healthy aging reorganizes, rather than uniformly attenuates, neural responses elicited from hierarchical auditory violations. Enhanced early sensory deviance processing alongside reduced higher‐order cognitive responses suggests a large‐
Mathias Houe Andersen, Gemma Fernández‐Rubio, David R. Quiroga‐Martinez, Mattia Rosso, Mathias Klarlund, Kit Melissa Larsen, Hartwig Roman Siebner, Morten L. Kringelbach, Peter Vuust, Leonardo Bonetti   +9 more
wiley   +1 more source

Enhancing Bitcoin Price Prediction with Deep Learning: Integrating Social Media Sentiment and Historical Data

Applied Sciences
Bitcoin, the pioneering cryptocurrency, is renowned for its extreme volatility and speculative nature, making accurate price prediction a persistent challenge for investors.
Hla Soe Htay, Mani Ghahremani, Stavros Shiaeles   +2 more
doaj   +1 more source

PRICE FORECASTING WITH TIME-SERIES METHODS AND NONSTATIONARY DATA: AN APPLICATION TO MONTHLY U.S. CATTLE PRICES [PDF]

The forecasting performance of various multivariate as well as univariate ARIMA models is evaluated in the presence of nonstationarity. The results indicate the importance of identifying the characteristics of the time series by testing for types of ...
Zapata, Hector O., Garcia, Philip
core  

Bio‐Memristor Based on Clinical Bile Samples: A Proof‐of‐Concept Pilot Study for Detection of Gallbladder Cancer

Advanced Science, EarlyView.
In this work, we present a bile‐based memristor hardware framework that enables direct, label‐free identification of cholelithiasis and gallbladder cancer at the device level. The Ag/bile/FTO memristor features stable resistive switching and disease‐specific electrical responses, providing a conceptual foundation for circuits and an integrated ERCP ...
Junming Zhu, Yiyin Rong, Bai Sun, Ziwen Sun, Yifan Wang, Xiaobin Ren, Zelin Cao, Kaikai Gao, Jiawei Yu, Zhenkun Wang, Haoxuan Ma, Jichun Guo, Kai Cao, Mengrun Kang, Songling Wang, Fenggang Ren, Yi Lv, Qiang Lu   +17 more
wiley   +1 more source