Results 261 to 270 of about 22,296,575 (338)
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
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
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 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
Some of the next articles are maybe not open access.
Related searches:
Related searches:
A novel learning function for adaptive surrogate-model-based reliability evaluation
Philosophical Transactions of the Royal Society A, 2023The 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
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
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
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
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, 2021In 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
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
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, 2021In 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

