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MiRNA-Based Therapies for Lung Cancer: Opportunities and Challenges?

open access: yesBiomolecules, 2023
Lung cancer is a commonly diagnosed cancer and the leading cause of cancer-related deaths, posing a serious health risk. Despite new advances in immune checkpoint and targeted therapies in recent years, the prognosis for lung cancer patients, especially ...
Han Yang   +9 more
doaj   +1 more source

The lncRNAs involved in regulating the RIG-I signaling pathway

open access: yesFrontiers in Cellular and Infection Microbiology, 2022
Understanding the targets and interactions of long non-coding RNAs (lncRNAs) related to the retinoic acid-inducible gene-I (RIG-I) signaling pathway is essential for developing interventions, which would enable directing the host inflammatory response ...
Jing Liu   +12 more
doaj   +1 more source

Let-7 as a Promising Target in Aging and Aging-Related Diseases: A Promise or a Pledge

open access: yesBiomolecules, 2022
The abnormal regulation and expression of microRNA (miRNA) are closely related to the aging process and the occurrence and development of aging-related diseases. Lethal-7 (let-7) was discovered in Caenorhabditis elegans (C.
Ya Wang   +11 more
doaj   +1 more source

Akkermansia muciniphila: A potential target and pending issues for oncotherapy

open access: yesPharmacological Research, 2023
In the wake of the development of metagenomic, metabolomic, and metatranscriptomic approaches, the intricate interactions between the host and various microbes are now being progressively understood.
Xu Zhao   +8 more
doaj   +1 more source

Study on Progressive Damage Assessment and Scarf Repair of Composite Honeycomb Structure

open access: yesXibei Gongye Daxue Xuebao, 2020
As the widely application of composite honeycomb structure in aircraft Structural Significant Items(SSI) and other structures, the damage assessment and repair scheme because of the impact and other damages have become one of the most concerned issues in

doaj   +1 more source

Damage detection in steel structures using static data via Genetic Algorithm [PDF]

open access: yesمجله مدل سازی در مهندسی, 2015
Structural damage detection technique helps to locate and detect damage that occurred in a structure by using the observed changes of its dynamic and static characteristics.
Zahra Tabrizian   +2 more
doaj   +1 more source

Sensor placement with optimal damage detectability for statistical damage detection

open access: yesMechanical Systems and Signal Processing, 2022
Damage diagnosis based on global structural vibrations critically depends on the sensor layout, in particular when a small number of sensors is used for large structures under unknown excitation. This paper proposes a sensor placement strategy that yields an optimized sensor layout with maximum damage detectability in selected structural components ...
Alexander Mendler   +2 more
openaire   +2 more sources

A Novel 3D Building Damage Detection Method Using Multiple Overlapping UAV Images [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014
In this paper, a novel approach is presented that applies multiple overlapping UAV imagesto building damage detection. Traditional building damage detection method focus on 2D changes detection (i.e., those only in image appearance), whereas the 2D ...
H. Sui, J. Tu, Z. Song, G. Chen, Q. Li
doaj   +1 more source

Disaster assessment using computer vision and satellite imagery: Applications in detecting water-related building damages

open access: yesFrontiers in Environmental Science, 2022
The increasing frequency and severity of water-related disasters such as floods, tornadoes, hurricanes, and tsunamis in low- and middle-income countries exemplify the uneven effects of global climate change.
Danu Kim   +11 more
doaj   +1 more source

Mitigation of model error effects in neural network-based structural damage detection

open access: yesFrontiers in Built Environment, 2023
This paper proposes a damage detection procedure based on neural networks that is able to account for the model error in the network training. Vibration-based damage detection procedures relied on machine learning techniques hold great promises for the ...
Federico Ponsi   +2 more
doaj   +1 more source

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