Results 81 to 90 of about 155,289 (268)

Integrated multiscale, multiphysics, and data-driven framework for optimizing modeling and manufacturing of glass fiber cable composites

open access: yesInternational Journal for Simulation and Multidisciplinary Design Optimization
We present a novel integrated multiscale, multiphysics, and data-driven framework for predictive modeling and process optimization of glass fiber cable composites.
Kikmo Wilba Christophe   +3 more
doaj   +1 more source

Identification and characterization of a gene conferring stress resistance in Escherichia coli and cyanobacteria

open access: yesFEBS Open Bio, EarlyView.
Functional screening identified PcSyn14890, a cyanobacteria‐specific protein that enhances growth and stress resistance in E. coli and Synechocystis PCC6803. Although we expected it to function as a molecular chaperone, it was unable to protect against thermal aggregation of GAPDH.
Akiyo Yamada   +7 more
wiley   +1 more source

Hybrid mechanistic–machine learning PK/PD models with digital biomarkers: from cage to clinic

open access: yesFrontiers in Pharmacology
BackgroundPharmacometric PK/PD models remain central to dose selection for first-in-human studies, therapeutic drug monitoring, and animal-to-human extrapolation of exposure–response relationships, but modern datasets, including digital biomarkers from ...
Szczepan W. Baran   +3 more
doaj   +1 more source

Hybrid Models

open access: yes, 2023
AbstractHybrid models that combine aspects of the Digital OEM and the Digital Equipment Operator are more often the norm than the exception. Nevertheless, differentiating between these two roles can be very helpful for understanding many of the different concepts associated with them.
openaire   +1 more source

Using fluorescence fluctuation spectroscopy to quantify molecular dynamics within cells

open access: yesFEBS Open Bio, EarlyView.
Microscopy techniques like fluorescence correlation spectroscopy (FCS) and number and brightness analysis (N&B) allow to quantify concentrations, diffusion rates, and oligomerization of fluorescently labeled molecules in the living cell. In this protocol the principles of how to set up these types of experiments are described including calibration ...
Mark A. Hink
wiley   +1 more source

Computational mechanics empowered by artificial intelligence

open access: yesMechanics & Industry
The present paper revisits recent challenges in computational mechanics where data-driven modeling offers unexpected possibilities. For that purpose, the main concepts related to data and learning are first introduced.
Chinesta Francisco   +5 more
doaj   +1 more source

Fluorination: A strategy to tune the interactions of molecules and nanoscale systems with biological matter

open access: yesFEBS Open Bio, EarlyView.
This minireview explores fluorination as a key strategy to optimize therapeutic molecules and nanocarriers. By incorporating different fluorinated motifs—from single atoms to linear and branched chains—drug delivery, cellular uptake, and colloidal stability can be improved and fine‐tuned.
Martina Beccalli   +2 more
wiley   +1 more source

A Hybrid ARIMA-CNN-LSTM Framework Based on Serial Decomposition for Non-Stationary Water Level Forecasting in Qinghai Lake

open access: yesISPRS International Journal of Geo-Information
Qinghai Lake, the largest endorheic saline lake in China, has undergone a pronounced hydrological regime shift from a multi-decadal decline to a rapid post-2004 recovery, reflecting strong hydroclimatic non-stationarity in the northeastern Tibetan ...
Pengfei Hou   +9 more
doaj   +1 more source

Chronobiology of Cancer: How Aging Fuels Oncogenesis at the Molecular Level

open access: yesAging and Cancer, EarlyView.
This graphical abstract illustrates the key biological pathways linking aging with cancer development and progression. In the upper left, cumulative exposure to ultraviolet radiation, toxins, and reactive oxygen species (ROS) causes DNA damage and genomic instability, whereas age‐related decline in repair mechanisms, such as ATM/ATR, BER, and NER ...
Anu Singh, Aroonima Misra, Sufian Zaheer
wiley   +1 more source

Combining machine learning and physiological network models for sepsis prediction

open access: yesFrontiers in Network Physiology
As the most extreme course of an infectious disease, sepsis poses a serious health threat, with a high mortality rate and frequent long-term consequences for survivors.
Juri Backes   +8 more
doaj   +1 more source

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