Results 101 to 110 of about 706 (230)

A note on testing for homoscedasticity in high-dimensional time series

open access: yesResearch in Statistics
We consider the problem of testing for homoscedasticity in high-dimensional time series, under the assumption that the sample size n and the dimension p satisfy [Formula: see text] as [Formula: see text]. The homoscedasticity refers to the case where the
Yosei Yoshida, Yan Liu
doaj   +1 more source

Genome‐Wide by Lifetime Environment Interaction Studies of Brain Imaging Phenotypes

open access: yesAdvanced Science, EarlyView.
This study explores genome‐wide by lifetime environment interactions on brain imaging phenotypes. Gene‐environment interactions explain more phenotypic variance than main effects, pinpoint regulatory variants, and reveal exposure‐specific biological pathways.
Sijia Wang   +51 more
wiley   +1 more source

Stratification of cephalosporins based on physicochemical and pharmacokinetic variables using multivariate statistical tools

open access: yesIntelligent Pharmacy
Introduction: Cephalosporins, a class of beta-lactam antibiotics, are commonly used in medical practice. However, their potential advantages, based on physicochemical and pharmacokinetic variables, are often overlooked.
Carlos Alberto Escobar Angulo   +2 more
doaj   +1 more source

Ecologically‐Valid Emotion Signatures Enhance Mood Disorder Diagnostics

open access: yesAdvanced Science, EarlyView.
This study identifies ecologically‐valid Divergent Emotional Functional Networks (DEFN), derived from dynamic functional connectivity during naturalistic movie watching. The DEFN reliably enhances diagnostic accuracy for mood disorders, including major depressive and bipolar disorders, demonstrating strong reproducibility across demographic factors and
Shuyue Xu   +6 more
wiley   +1 more source

Mitochondrial Calcium Uniporter Drives Chemoresistance in Pancreatic Cancer via Glutathione‐Mediated Stemness Maintenance

open access: yesAdvanced Science, EarlyView.
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

The Generalized-Fisher composite fading model for the next generation of mobile communication systems

open access: yesDigital Communications and Networks
The new generation of communication systems is moving towards using a millimeter-wave spectrum. Since the shadowing effects are undeniable in this type of propagation, the proposed Generalized Fisher (GF) distribution can be useful in modeling shadowed ...
Fereshteh Salimian Rizi   +1 more
doaj   +1 more source

PD‐1 Inhibits CD4+ TRM‐Mediated cDC1 Mobilization via Suppressing JAML in Human NSCLC

open access: yesAdvanced Science, EarlyView.
CD4+ tissue‐resident memory T cells (TRMs) in non‐small cell lung cancer recruit conventional type 1 dendritic cells via XCL1‐XCR1 signaling, orchestrating antitumor immunity. The costimulatory molecule JAML is essential for this process. PD‐1 blockade restores JAML expression and cDC1 mobilization, while JAML agonists synergize with anti‐PD‐1 therapy,
Zheyu Shao   +16 more
wiley   +1 more source

Three‐Year Follow‐Up of Neoadjuvant Tislelizumab with Chemotherapy in Locally Advanced Gastric and Gastroesophageal Junction Adenocarcinoma: Revealing Cancer‐Associated Fibroblast Heterogeneity Corresponding to PD‐1 Blockade Efficacy

open access: yesAdvanced Science, EarlyView.
Heterogeneous cancer‐associated fibroblasts orchestrate dual immune microenvironments in LAGC. Abstract The potential for immunotherapy in patients with locally advanced gastric cancer (LAGC) is recently confirmed. To report the 3‐year follow‐up data are aimed from a novel clinical trial. This is a prospective single‐arm phase II trial.
Yao Lin   +14 more
wiley   +1 more source

Efficient Estimation of Generative Models Using Tukey Depth

open access: yesAlgorithms
Generative models have recently received a lot of attention. However, a challenge with such models is that it is usually not possible to compute the likelihood function, which makes parameter estimation or training of the models challenging.
Minh-Quan Vo   +3 more
doaj   +1 more source

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