Results 101 to 110 of about 336,417 (303)
Promiscuous stimulation of HSP70 ATPase activity by parasite‐derived J‐domains
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 +6 more
wiley +1 more source
Fuzzy Classification and Implementation Methods for Tugboat Main Engine Fault
The establishment of classification index system of fault in tugboat main engine was briefly discussed first. After that, the fuzzy method and procedures used in fault classification were introduced.
Xu Xiaohui, Bai Guangchen
doaj +1 more source
The classification and management of limestone pavements - an endangered habitat [PDF]
This thesis describes an in-depth study of limestone pavements across North West England and North Wales. The aim was to combine elements of geodiversity and biodiversity in order to create a holistic limestone pavement classification to inform future ...
Willis, Sue D. M.
core
Real-Time Implementation and Evaluation of a Support Vector Machine Based Fault Detector and Classifier for Distribution Grids [PDF]
Bridging the gap between theoretical modeling and practical implementation is essential in fault detection, classification, and location methods for modern distribution grids.
Ehsan, Mohammad Umair, Keune, Björn
core +1 more source
Screening and epitope characterization of Nidogen‐2‐specific nanobodies
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 +9 more
wiley +1 more source
Neural Architecture Search for Bearing Fault Classification
In this research, we address bearing fault classification by evaluating three neural network models: 1D Convolutional Neural Network (1D-CNN), CNN-Visual Geometry Group (CNN-VGG), and Long Short-Term Memory (LSTM). Utilizing vibration data, our approach incorporates data augmentation to address the limited availability of fault class data.
Santiago Bonilla Diaz, Edicson +6 more
openaire +2 more sources
Digital twins to accelerate target identification and drug development for immune‐mediated disorders
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
Fault detection and diagnosis for process control rig using artificial intelligent [PDF]
This paper focuses on the application of artificial intelligent techniques in fault detection and diagnosis. The objective of this paper is to detect and diagnose the faults to a process control rig.
Abdul Rahman, Ribhan Zafira +2 more
core
Detecting faults in electrical power grids is of paramount importance, either from the electricity operator and consumer viewpoints. Modern electric power grids (smart grids) are equipped with smart sensors that allow to gather real-time information ...
De Santis, Enrico +3 more
core +1 more source
Intercompartmental communication in senescence
Senescent cells experience structural changes in the plasma membrane, endoplasmic reticulum, mitochondria, lysosomes, nucleus, and cytoskeleton. These alterations disrupt crosstalk among cellular compartments, impairing vesicular trafficking, contact sites, and molecular flow.
Krystyna Mazan‐Mamczarz +3 more
wiley +1 more source

