Results 261 to 270 of about 22,296,575 (338)

Enhancing Oncological Care for India's Aging Population: Addressing the Complex Needs of Older Adults With Cancer

open access: yesAging and Cancer, EarlyView.
Aging‐associated physiological and molecular alterations pose significant challenges in cancer management among India's elderly. Limited geriatric oncology expertise, financial constraints, and inadequate specialized care exacerbate disparities. Strategic expansion of insurance coverage, integration of palliative care, and infrastructural advancements ...
Nihanthy D. Sreenath   +3 more
wiley   +1 more source

Predicting and Comparing the Subjective Health Experience of Older Cancer Survivors and Non‐Cancer Survivors: A Modeling Approach

open access: yesAging and Cancer, EarlyView.
This study underscores the significant influence of frailty and vitality on the subjective health experience of older cancer survivors with acceptance and control emerging as salient mediators. These findings affirm the conceptual and empirical robustness of the model highlighting its potential utility in shaping future interventions for older cancer ...
Damien S. E. Broekharst   +4 more
wiley   +1 more source

The Aging Blood: Cellular Origins, Circulating Drivers, and Therapeutic Potential

open access: yesAging and Cancer, EarlyView.
As a conduit linking all organs, the blood system both reflects and actively drives systemic aging. This review highlights how circulating pro‐aging and antiaging factors and age‐associated hematopoietic stem cell dysfunction contribute to immunosenescence and multi‐organ decline, positioning the hematopoietic system as a target for aging intervention.
Hanqing He, Jianwei Wang
wiley   +1 more source

Natural Products as Geroprotective Modulators in Diabetic Nephropathy: A Mechanistic Framework Integrating Aging Hallmarks and the AMPK–SIRT1–Nrf2 Axis

open access: yesAging and Cancer, EarlyView.
Natural products target the aging kidney in diabetic nephropathy by restoring the AMPK–SIRT1–Nrf2 axis, reducing oxidative stress, inflammation, fibrosis, and cellular senescence while enhancing mitochondrial biogenesis and antioxidant defenses.
Sherif Hamidu   +8 more
wiley   +1 more source

A novel learning function for adaptive surrogate-model-based reliability evaluation

Philosophical Transactions of the Royal Society A, 2023
The classical reliability analysis methods, due to the ever-increasing complexity of engineering structure, may lead to higher and higher calculation errors and costs.
S. Yang   +3 more
semanticscholar   +1 more source

A comparative study for adaptive surrogate-model-based reliability evaluation method of automobile components

International Journal of Structural Integrity, 2023
PurposeThis study conducts a comparative study on the performance of reliability assessment methods based on adaptive surrogate models to accurately assess the reliability of automobile components, which is critical to the safe operation of vehicles ...
S. Yang   +4 more
semanticscholar   +1 more source

Probabilistic safety analysis of coupled train-bridge system using deep learning based surrogate model

Structure and Infrastructure Engineering, 2021
Due to unavoidable uncertainties, it is critical to perform probabilistic analysis when examining the safety of coupled train-bridge system based on the dynamic interaction analysis.
Huile Li, Tianyu Wang, Gang Wu
semanticscholar   +1 more source

Surrogate Model-Based Explainability Methods for Point Cloud NNs

IEEE Workshop/Winter Conference on Applications of Computer Vision, 2021
In the field of autonomous driving and robotics, point clouds are showing their excellent real-time performance as raw data from most of the mainstream 3D sensors.
Hanxiao Tan, Helena Kotthaus
semanticscholar   +1 more source

An Efficient Spatial-Temporal Convolution Recurrent Neural Network Surrogate Model for History Matching

SPE Journal, 2021
Surrogate modeling has shown to be effective in improving the solving efficiency for history matching in the development of oil and gas, but the traditional surrogate models are difficult to directly deal with the high-dimensional spatial uncertain ...
Xiaopeng Ma   +6 more
semanticscholar   +1 more source

A Deep Learning Surrogate Model for Topology Optimization

IEEE transactions on magnetics, 2021
In this work, a topology optimization procedure is proposed and applied to the TEAM 25 problem, i.e., a model of a die press with an electromagnet for orientation of magnetic powder.
S. Barmada   +4 more
semanticscholar   +1 more source

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