Results 111 to 120 of about 35,745,185 (300)

Transformers for Multivariate Time Series Forecasting: Comprehensive Analysis, Challenges, Research Opportunities, and Future Prospects

IEEE Access
Multivariate time series (MTS) forecasting appears in many applied settings, ranging from finance and healthcare to energy systems, climate analysis, and IoT-based platforms.
M. K. Saravana, M. S. Roopa, J. S. Arunalatha, K. R. Venugopal   +3 more
doaj   +1 more source

Capturing common components in high-frequency financial time series : a multivariate stochastic multiplicative error model [PDF]

, 2007
We introduce a multivariate multiplicative error model which is driven by componentspecific observation driven dynamics as well as a common latent autoregressive factor.
Hautsch, Nikolaus
core  

Deubiquitination of Vangl by USP6 and USP32 Regulates Planar Cell Polarity Signaling

Advanced Science, EarlyView.
Compartment‐specific deubiquitination controls Vangl dosage and planar cell polarity signaling. USP6 and USP32 regulate distinct subcellular pools of Vangl by removing distinct ubiquitin modifications from Vangl proteins. This regulatory mechanism safeguards PCP‐dependent embryonic morphogenesis, while aberrant USP32‐dependent stabilization of VANGL ...
Fangzi Zha, Di Feng, Ziru Xue, Zhiying Liu, Xiaochen Lin, Zhe Wang, Ling Xu, Jasper Fuk Woo Chan, Martin Cheung, Michael Shing Yan Huen, Yusong Guo, Kui Ming Chan, Yun Liu, Bo Gao   +13 more
wiley   +1 more source

MXene‐Based Room‐Temperature NO2 Gas Sensors: A Meta‐Analysis

Advanced Science, EarlyView.
This study presents the first comprehensive meta‐analysis of MXene‐based NO2 sensors, decoding 32 study characteristics across 61 peer‐reviewed studies. By isolating materials chemistry as the primary performance driver over device‐level parameters, the authors establish a methodological blueprint and a predictive structure–function map to accelerate ...
Alexander Khort, Jerome Geyer‐Klingeberg, Andreas Rathgeber, Suelen Barg   +3 more
wiley   +1 more source

Interleukin‐39 is a Prognostic Biomarker and Therapy Target for Sepsis

Advanced Science, EarlyView.
Sepsis triggers a significant increase in IL‐39 production, with circulating levels markedly elevated and positively correlated with disease severity and poor clinical prognosis in sepsis patients. Mechanistically, macrophage‐derived IL‐39 activates the GP130 signaling pathway via a ligand‐receptor interaction, thereby fueling the pro‐inflammatory ...
Feng‐zhi Zhang, Hai‐jun Liu, Yan Yue, Jun‐jie Gao, Jin Zhang, Wen‐wu Zhang, Yun‐long Zhang, Wei‐hua Lu, Sheng‐wei Jin, Pu‐hong Zhang   +9 more
wiley   +1 more source

Sex‐ and Time‐Resolved Physiological and Gut Ecosystem Responses to a Food‐Grade Microbiome‐Targeted Intervention in Collegiate Endurance Athletes

Advanced Science, EarlyView.
In collegiate endurance athletes, a 6‐week randomized CPYE intervention yielded time‐ and sex‐dependent shifts in field‐based cardiorespiratory, metabolic, and redox indices, accompanied by changes in gut multi‐omics profiles. An exploratory extension during intensified training generates hypotheses warranting future validation.
Meng Zhang, Le Ge, Kaiyang Liu, Yanrong Liu, Guolin Zhao, Lai‐Yu Kwok, Zheng Sun, Zhihong Sun, Wenyi Zhang   +8 more
wiley   +1 more source

Multivariate time-series analysis of biomarkers from a dengue cohort offers new approaches for diagnosis and prognosis. [PDF]

PLoS Negl Trop Dis, 2020
Vasey B, Shankar AH, Herrera BB, Becerra A, Xhaja K, Echenagucia M, Machado SR, Caicedo D, Miller J, Amedeo P, Naumova EN, Bosch I, Norma Blumenfeld deBosch.   +12 more
europepmc   +1 more source

Symbolic Higher-Order Analysis of Multivariate Time Series

CoRR
Identifying patterns of relations among the units of a complex system from measurements of their activities in time is a fundamental problem with many practical applications. Here, we introduce a method that detects dependencies of any order in multivariate time series data.
Andrea Civilini, Fabrizio de Vico Fallani, Vito Latora   +2 more
openaire   +3 more sources

Raman Analysis of RNA Nucleotide Strands From SARS‐CoV‐2 Variants and Subvariants: A Step Forward in the Definition of “Raman Genome”

Advanced Science, EarlyView.
Main Raman signals in RNA, related to helical backbone, ribofuranose ring, and nitrogenous bases, are affected by secondary structures that cause hyperchromic effects and significantly alter the Raman intensity. ABSTRACT Raman spectra of RNA nucleotide strands extracted from 20 SARS‐CoV‐2 strains, including the original Japanese isolate, Alpha, Beta ...
Giuseppe Pezzotti, Yoshiki Yasukochi, Gianluca Angiola, Takaharu Ueno, Saki Ikegami, Rintaro Okawa, Tetsuya Adachi, Wenliang Zhu, Osam Mazda, Alfio Grillo, Koichiro Higasa, Kazu Okuma   +11 more
wiley   +1 more source

Journal of Time Series Analysis

During the last 30 years Time Series Analysis has become one of the most important and widely used branches of Mathematical Statistics. Its fields of application range from neurophysiology to astrophysics and it covers such well-known areas as economic ...
Cavaliere, Giuseppe
core   +1 more source