Results 91 to 100 of about 22,860 (267)

Bearing Fault Diagnosis Based on Vibration Envelope Spectral Characteristics

Applied Sciences
Deep learning methods based on neural network models have been widely applied to bearing fault classification. Although they can achieve high accuracy, they also come with significant complexity.
Yang Chen, Qifu Chen, Rui Wang
doaj   +1 more source

Dihydroorotate dehydrogenase (DHODH) regulates trophoblast syncytialization through organelle stress–induced cellular senescence

FEBS Open Bio, EarlyView.
The inhibition of mitochondrial dihydroorotate dehydrogenase (DHODH) impairs syncytialization and induces cellular senescence via mitochondrial and endoplasmic reticulum stress in human trophoblast stem cells, elevating sFlt1/PlGF levels, a hallmark of placental dysfunction in hypertensive disorders of pregnancy.
Kanoko Yoshida, Kazuya Kusama, Ayaka Horiuchi, Yu Kawaguchi, Atsuya Tsuru, Mikihiro Yoshie, Kazuhiro Tamura   +6 more
wiley   +1 more source

Fault diagnosis of permanent magnet synchronous motor based on MTF fusion image and NRBO-SCN method

Scientific Reports
To address the limitations of conventional feature extraction methods in capturing fault information from operational current signals, the paper proposes a novel fault diagnosis method for permanent magnet synchronous motor (PMSM).
Yinquan Yu, Hongping Ge, Giuseppe Carbone, Dequan Zeng, Yiming Hu, Jinwen Yang   +5 more
doaj   +1 more source

Promiscuous stimulation of HSP70 ATPase activity by parasite‐derived J‐domains

FEBS Open Bio, EarlyView.
The malaria parasite Plasmodium falciparum exports three highly homologous yet functionally divergent J‐domain proteins into human erythrocytes. Here, we show that J‐domains isolated from all three proteins effectively stimulate the ATPase activity of both endogenous host and exported parasite HSP70 chaperones.
Julian Barth, Moritz Koch, Le‐Han Rössner, Johanna Eichhorn, Denys Pogoryelov, Matthias P. Mayer, Jude M. Przyborski   +6 more
wiley   +1 more source

A data enlargement strategy for fault classification through a convolutional auto-encoder

MATEC Web of Conferences, 2019
The amount of data is of crucial to the accuracy of fault classification through machine learning techniques. In wind energy harvest industry, due to the shortage of faulty data obtained in real practice, together with ever changing operational ...
Hao Cui, Kesheng Wang, Yu Li, Binyuan Yang, Qiang miao   +4 more
doaj   +1 more source

Screening and epitope characterization of Nidogen‐2‐specific nanobodies

FEBS Open Bio, EarlyView.
Camel immunization and phage display were employed to generate high‐affinity VHH nanobodies against Nidogen‐2. After library construction, biopanning, ELISA screening, sequencing, and recombinant expression, selected nanobodies were purified and characterized, leading to the preliminary exploration of a nanobody‐based sandwich ELISA for specific ...
Jianchuan Wen, Qianqian Cui, Zhongyun Lan, Yingjun Wang, Shuaiying Zhao, Wenxuan Feng, Yunfeng Liu, Qiting Huang, Dongna Zhang, Jianfeng Xu   +9 more
wiley   +1 more source

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

FEBS Open Bio, EarlyView.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source

Induction motor bearing fault classification using deep neural network with particle swarm optimization‐extreme gradient boosting

IET Electric Power Applications
Intelligent motor fault diagnosis in industrial applications requires identifying key characteristics to differentiate various fault types effectively.
Chun‐Yao Lee, Edu Daryl C. Maceren
doaj   +1 more source

Fault Classification and Localization in Power Transmission Lines Using LSTM and Vibration Data Analysis

NTU Journal of Engineering and Technology
The precise classification and localization of faults in power transmission lines are very important to ensure grid stability and to minimize service interruptions. Traditional methods of fault detection frequently have difficulty with complicated fault
Enas Ali Ahmed, Muna Hassan Hussein, Mohammed Talal Ghazal   +2 more
doaj   +1 more source

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

Aging 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, Latif Adams, Eunice Ampem‐Danso, Justice Kumi, Abigail Aning, Fatima Hamidu, Mustapha Abdul Mumin Mohammed, Ayuba Nii Darku Ankrah, Seth Kwabena Amponsah   +8 more
wiley   +1 more source