Results 71 to 80 of about 622,309 (297)
Reliable AI Platform for Monitoring BCI Caused Brain Injury and Providing Real‐Time Protection
BrainGuard enables real‐time and interpretable assessment of brain injury caused by brain computer interface (BCI). Using feature‐based Gaussian process (GP) emulators trained on limited biomechanical data, it efficiently predicts full‐field strain and constructs patient‐specific digital brain twins to support clinical diagnosis and long‐term BCI ...
Chufan He +3 more
wiley +1 more source
New Lagrange Multipliers for the Blind Adaptive Deconvolution Problem Applicable for the Noisy Case
Recently, a new blind adaptive deconvolution algorithm was proposed based on a new closed-form approximated expression for the conditional expectation (the expectation of the source input given the equalized or deconvolutional output) where the output ...
Monika Pinchas
doaj +1 more source
METTL1 and its mediated m7G tRNA modification are significantly up‐regulated after partial hepatectomy (PHx). Overexpression of METTL1 improves the efficiency of liver regeneration after PHx, increases the proliferation of hepatocytes, and accelerates the recovery of liver function.
Manling Huang +18 more
wiley +1 more source
C⁎-Basic Construction from the Conditional Expectation on the Drinfeld Double
Let D(G) be the Drinfeld double of a finite group G and D(G;H) be the crossed product of C(G) and CH, where H is a subgroup of G. Then the sets D(G) and D(G;H) can be made C⁎-algebras naturally.
Qiaoling Xin, Lining Jiang, Tianqing Cao
doaj +1 more source
PDAC has a poor prognosis due to chemoresistance. We revealed that MCU upregulation is associated with chemoresistance and stemness in PDAC. MCU‐mediated Ca2+ influx induced ER stress, activating the PERK‐ATF4/NRF2 axis to enhance PSAT1/SLC711 expression and glutathione synthesis, reducing ROS and maintaining stemness.
Zekun Li +17 more
wiley +1 more source
A novel machine learning strategy tackles ambiguous compositional data to predict superalloy fatigue. By integrating partial label with transfer learning and enriching features through thermodynamic calculations, this approach achieves superior accuracy and interpretability.
Haopeng Lv +10 more
wiley +1 more source
Estimating the Conditional Tail Expectation in the Case of Heavy-Tailed Losses
The conditional tail expectation (CTE) is an important actuarial risk measure and a useful tool in financial risk assessment. Under the classical assumption that the second moment of the loss variable is finite, the asymptotic normality of the ...
Abdelhakim Necir +2 more
doaj +1 more source
Particulate matter ≤2.5 µm (PM2.5) elevates risks of neurological and chronic metabolic diseases, but the underlying mechanisms linking PM2.5‐induced central nervous system (CNS) injury to metabolic dysfunction remain unclear. Hypothalamic pro‐opiomelanocortin‐expressing (POMC+) neurons regulate systemic metabolic homeostasis, and tripartite motif ...
Chenxu Ge +21 more
wiley +1 more source
Algunas propiedades de la independencia condicionada
El objetivo de este artículo es el de establecer algunas propiedades nuevas de la independencia condicionada de una familia de clases de eventos. De una parte, se generalizan algunos de los resultados de Van Putten y Van Schuppen [15], que consideran ...
Miguel A. Marmolejo L. +1 more
doaj
This study identifies elevated taurocholic acid (TCA) in Major Depressive Disorder patients. Gut microbiome‐associated TCA impairs hippocampal neurogenesis, triggers microglia activation, and elicits depression‐like behavior in mice via the S1PR2. In patients, functional neuroimaging reveals that serum TCA levels correlate with altered functional ...
Xiaoying Cai +12 more
wiley +1 more source

