Results 161 to 170 of about 15,041 (261)

Integrating multivariate resting‐state fMRI features to localize epileptic networks in common childhood epilepsy

Epilepsia, EarlyView.
Abstract Objective Accurate localization of epileptic activity remains challenging when interictal discharges are absent or sparse. Although resting‐state functional MRI (rs‐fMRI) is noninvasive, individual rs‐fMRI metrics provide inconsistent and incomplete localization.
Qirui Zhang, Zixuan Zhang, Yvzhuo Li, Yan He, Fang Yang, Jacqueline Kim, Joseph I. Tracy, Guangming Lu, Zhiqiang Zhang   +8 more
wiley   +1 more source

Using DSGE and Machine Learning to Forecast Public Debt for France

Journal of Forecasting, EarlyView.
ABSTRACT Forecasting public debt is essential for effective policymaking and economic stability, yet traditional approaches face challenges due to data scarcity. While machine learning (ML) has demonstrated success in financial forecasting, its application to macroeconomic forecasting remains underexplored, hindered by short historical time series and ...
Emmanouil Sofianos, Thierry Betti, Theophilos Papadimitriou, Amélie Barbier‐Gauchard, Periklis Gogas   +4 more
wiley   +1 more source

Beyond Tobacco Prevention: The Effects of Tobacco 21 Laws on Young Adults' Body Weight

Health Economics, EarlyView.
ABSTRACT Tobacco 21 (T21) laws effectively reduce youth tobacco use by preventing initiation. This study examines their impact on body weight among young adults aged 18–20. Using 2009–2019 Behavioral Risk Factor Surveillance System data and a two‐way fixed‐effects difference‐in‐differences (DID) design, we find limited evidence of broad weight changes ...
Qihua Qiu, Jaesang Sung
wiley   +1 more source

A spatiotemporal single‐cell atlas of porcine development reveals regulatory dynamics and cellular targets of domestication

iMeta, EarlyView.
This study presents a cross‐tissue, single‐cell/single‐nucleus transcriptomic atlas spanning from prenatal to postnatal developmental stages in pig, characterizing 83 distinct cell types from 252,033 cells. Through the construction of cross‐tissue transcriptional regulatory networks and pseudotime trajectories, we revealed that organogenesis is driven ...
Rong Zhou, Zishuai Wang, Chenghao Hu, Shuhan Deng, Changyun Cai, Yanfang Wang, Shang‐Tong Li, Lijing Bai, Kui Li   +8 more
wiley   +1 more source

Penalized Canonical Correlation Analysis for MEG Data

Canonical correlation analysis is a statistical method used to examine linear relationships between two sets of variables measured on the same statistical units, by forming highly correlated linear combinations of the variables in each set.
Koskinen, Juuso
core  

Conditional Randomization Tests for the Specification of Interference Structure

Journal of Applied Econometrics, EarlyView.
ABSTRACT This study proposes specification tests for interference structure in causal inference with spillovers. We focus on experimental settings in which the treatment assignment mechanism is known. To test whether a given exposure mapping adequately summarizes the true interference structure, we develop conditional randomization tests by utilizing ...
Tadao Hoshino, Takahide Yanagi
wiley   +1 more source

Identification and correlation of the Aso‐3 tephra in the Omaezaki area, central Japan: A valuable key stratum for the MIS 6/5 transition period

Journal of Quaternary Science, EarlyView.
ABSTRACT The Aso‐3 tephra is one of the most significant widespread marker layers from the Middle to Late Pleistocene, generated by a large caldera‐forming eruption at the Aso volcano in Kyushu, southwestern Japan. Despite its importance, a distal co‐ignimbrite ash correlative has yet to be clearly identified, primarily because although volcanic glass ...
Toshinori Sasaki, Takuya Morimoto, Tatsuyuki Ueno, Kazuo Mizoguchi, Norihisa Goto, Hisanori Ominami, Shohei Onaka   +6 more
wiley   +1 more source

Extensions of Sparse Canonical Correlation Analysis with Applications to Genomic Data

In recent work, several authors have introduced methods for sparse canonical correlation analysis (sparse CCA). Suppose that two sets of measurements are available on the same set of observations.
Tibshirani Robert J., Witten Daniela M
core  

Identifying genes associated with disease outcomes using joint sparse canonical correlation analysis-An application in renal clear cell carcinoma. [PDF]

Genet Epidemiol
Dutta D, Sen A, Satagopan JM, Satagopan JM.   +3 more
europepmc   +1 more source

Co‐ and Multi‐Pathologies in Parkinson's Disease: An International Parkinson and Movement Disorder Society Scientific Issues Committee Review

Movement Disorders, EarlyView.
Abstract Parkinson's disease (PD) has been historically defined as a disease of striatal dopamine deficiency secondary to degeneration of dopaminergic neurons in the substantia nigra pars compacta, related to the presence of Lewy bodies and Lewy neurites.
Michele Matarazzo, Per Borghammer, Inas Elsayed, Jennifer G. Goldman, Yue Huang, Katja Lohmann, Per Svenningsson, Lorraine V. Kalia, Daniela Berg, Jeffrey H. Kordower, the MDS Scientific Issues Committee   +10 more
wiley   +1 more source