Results 131 to 140 of about 1,253,621 (308)

Long‐term hippocampal alterations and cognitive impairment in a murine model of surgical sepsis

open access: yesFEBS Open Bio, EarlyView.
Using a mouse model of surgical sepsis, we tested long‐term memory and analyzed the transcriptome of single cells isolated from the hippocampus. Survivor mice showed worse memory, loss of certain brain cell subpopulations, and abnormal immune cell activity—suggesting that post‐sepsis brain alterations may be linked to cognitive deficits.
Dong Seong Cho   +4 more
wiley   +1 more source

Minimum Information Trees for High Dimensional Data Visualization in Clustering

open access: yesIEEE Access
Visualizing the qualitative outcomes of clustering algorithms in high-dimensional spaces remains a persistent challenge in data analysis and machine learning.
Alexandre L. M. Levada
doaj   +1 more source

Pharmacological inhibition of the PERK pathway modulates hepatocellular carcinoma growth and immune signaling

open access: yesFEBS Open Bio, EarlyView.
Pharmacological inhibition of PERK in a DEN‐induced mouse model of liver cancer does not reduce tumor burden but alters cellular stress signaling. Despite blocking PERK activity, downstream stress responses, including CHOP expression, remain active, suggesting compensatory mechanisms within the unfolded protein response that may influence tumor ...
Ada Lerma‐Clavero   +5 more
wiley   +1 more source

Early‐life high‐fat diet exposure increases Achilles tendon stiffness and induces transcriptomic alterations

open access: yesFEBS Open Bio, EarlyView.
Early‐life exposure to a high‐fat diet altered intact Achilles tendons in rat offspring, making them thinner, stiffer, and molecularly distinct even without injury. These findings suggest that developmental high‐fat diet exposure may impair tendon quality and increase susceptibility to mechanical overload or tendon injury later in life.
Heyong Yin   +3 more
wiley   +1 more source

High-Dimensional Adaptive Basis Density Estimation

open access: yes, 2018
In the realm of high-dimensional statistics, regression and classification have received much attention, while density estimation has lagged behind. Yet there are compelling scientific questions which can only be addressed via density estimation using ...
Susan Buchman (5465489)
core   +1 more source

RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells

open access: yesFEBS Open Bio, EarlyView.
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour   +2 more
wiley   +1 more source

UiO‐66 metal–organic frameworks in biomedicine: From structural tunability to bioimaging, photodiagnostics, and photodynamic cancer therapy

open access: yesFEBS Open Bio, EarlyView.
UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová   +2 more
wiley   +1 more source

Hydrostatic pressure activates HIF‐1α via β‐catenin to promote stemness in breast cancer cells

open access: yesFEBS Open Bio, EarlyView.
To mimic the elevated intestinal fluid pressure in breast cancers, we loaded human breast cancer cells (MCF‐7, MDA‐MB‐453, and BT‐474) to 50 mmHg hydrostatic pressure. Hydrostatic pressure exposure upregulated HIF‐1α and induced stemness in MCF‐7 and BT‐474 cells.
Da Zhai   +8 more
wiley   +1 more source

A kernel-based embedding framework for high-dimensional data analysis [PDF]

open access: yes, 2019
The world is essentially multidimensional, e.g., neurons, computer networks, Internet traffic, and financial markets. The challenge is to discover and extract information that lies hidden in these high-dimensional datasets to support classification ...
García Vega, Sergio
core  

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