Results 31 to 40 of about 123,594 (283)

Autophagy Activators Normalize Aberrant Tau Proteostasis and Rescue Synapses in Human Familial Alzheimer's Disease iPSC‐Derived Cortical Organoids

Advanced Science, EarlyView.
A new cerebrocortical organoid model using isogenic hiPSCs with familial Alzheimer's mutations recapitulates key AD features, including amyloid‐beta and phospho‐Tau aggregation, neuronal hyperexcitability, and synapse loss. Single‐cell RNA‐seq reveals aberrant pathways in excitatory and inhibitory neurons.
Sergio R. Labra, Jadon Compher, Akhil Prabhavalkar, Mireya Almaraz, Claudia Cedeño Kwong, Christine Baal, Maria Talantova, Nima Dolatabadi, Julian Piña‐Sanz, Yubo Wang, Leonard Yoon, Swagata Ghatak, Zi Gao, Yuting Zhang, Dorit Trudler, Lynee Massey, Wei Lin, Anthony Balistreri, Michael Bula, Nicholas J. Schork, Tony S. Mondala, Steven R. Head, Jeffery W. Kelly, Stuart A. Lipton   +23 more
wiley   +1 more source

Restriction of Individual Branched‐Chain Amino Acids has Distinct Effects on the Development and Progression of Alzheimer's Disease in 3xTg Mice

Advanced Science, EarlyView.
Protein restriction (PR) slows Alzheimer's disease (AD) in mice, and other benefits of PR are due to decreased branched‐chain amino acids (BCAAs). We show that restricting any BCAA has benefits, with sex‐ and BCAA‐specific impacts on pathology, molecular signaling, and cognition.
Reji Babygirija, Cara L. Green, Michelle M. Sonsalla, Izabelle Marie F. Le, Fan Xiao, Sarah Yandell, Mariah F. Calubag, Michaela E. Trautman, Anna Tobon, Ryan Matoska, Chung‐Yang Yeh, Charles I. Opara, Isaac Grunow, Diana Vertein, Sophia Schlorf, Bailey A. Knopf, Michael J. Rigby, David A. Harris, Mark P. Keller, Alan D. Attie, Luigi Puglielli, Cholsoon Jang, Dudley W. Lamming   +22 more
wiley   +1 more source

Generalized Least Squares and Weighted Least Squares Estimation Methods for Distributional Parameters

Revstat Statistical Journal, 2015
Regression procedures are often used for estimating distributional parameters because of their computational simplicity and useful graphical presentation. However, the resulting regression model may have heteroscedasticity and/or correction problems and
Yeliz Mert Kantar
doaj   +1 more source

Ejecta‐Modulated Bubble Dynamics Play a Dominant Role in Stone Retropulsion

Advanced Science, EarlyView.
Stone motion during laser ablation is shown to result primarily from asymmetric cavitation bubble collapse, not from ejecta recoil. This challenges long‐standing assumptions and highlights the dominant role of bubble dynamics in laser–material interactions.
Obed S. Isaac, Arpit Mishra, Georgy N. Sankin, Junqin Chen, Pei Zhong   +4 more
wiley   +1 more source

The Relation between Monetary Policy and the Stock Market in Europe

Econometrics, 2018
We use a cointegrated structural vector autoregressive model to investigate the relation between monetary policy in the euro area and the stock market. Since there may be an instantaneous causal relation, we consider long-run identifying restrictions for
Helmut Lütkepohl, Aleksei Netšunajev
doaj   +1 more source

Integrated Ultrasound Device for Precision Bladder Volume Monitoring via Acoustic Focusing and Machine Learning

Advanced Science, EarlyView.
We present a conformable wearable ultrasound patch for noninvasive bladder volume monitoring. A flexible PZT array combined with a concave acoustic lens concentrates acoustic energy and improves depth selectivity through the anterior pelvic wall.
Long Long Cao, Feng Wen Wang, Jingwei Xue, Fulei Liu, Ming Liang Jin   +4 more
wiley   +1 more source

Regression Diagnostics with Predicted Residuals of Linear Model with Improved Singular Value Classification Applied to Forecast the Hydrodynamic Efficiency of Wave Energy Converters

Applied Sciences, 2021
In the preliminary stages of design of the oscillating water column (OWC) type of wave energy converters (WECs), we need a reliable cost- and time-effective method to predict the hydrodynamic efficiency as a function of the design parameters.
Kiril Tenekedjiev, Nagi Abdussamie, Hyunbin An, Natalia Nikolova   +3 more
doaj   +1 more source

Heteroscedastic Ensemble Postprocessing

Monthly Weather Review, 2014
AbstractEnsemble variances provide a prediction of the flow-dependent error variance of the ensemble mean or, possibly, a high-resolution forecast. However, small ensemble size, unaccounted for model error, and imperfections in ensemble generation schemes cause the predictions of error variance to be imperfect.
Elizabeth A. Satterfield, Craig H. Bishop   +1 more
openaire   +1 more source

Semiparametric hierarchical model with heteroscedasticity [PDF]

Statistics and Its Interface, 2017
Recent work on hierarchical data analysis mainly focuses on the multilevel structure of the mean response. Little research for hierarchical heteroscedasticity was done in the literature. In this paper, we propose a class of hierarchical models with heteroscedasticity and then investigate the semi-parametric statistical inferences.
Ma, Chuoxin, Tian, Maozai, Pan, Jianxin
openaire   +1 more source

Heteroscedasticity irrelevance when testing means difference [PDF]

, 2018
Peer ...
Flores, Pablo, Ocaña, Jordi
core