Results 71 to 80 of about 2,112 (214)
The Research of Multi-sensor Data Fusion Technology
Multi-source information from multi-sensors is very important to command information system. Processed multi-source information can offer useful decision information to commander. On the basis of explaining concept, function and advantage of multi-sensor data fusion, the common model of the data fusion was introduced.
Wen-cheng JIAO +3 more
openaire +2 more sources
Pharmacological inhibition of PERK in a DEN‐induced mouse model of liver cancer does not reduce tumor burden but alters cellular stress signaling. Despite blocking PERK activity, downstream stress responses, including CHOP expression, remain active, suggesting compensatory mechanisms within the unfolded protein response that may influence tumor ...
Ada Lerma‐Clavero +5 more
wiley +1 more source
A yeast model of 5‐oxoproline accumulation reveals a general toleration to 5‐oxoproline
Using a yeast model, we show that even high accumulation of 5‐oxoproline causes only mild cellular stress and does not trigger oxidative stress. Instead, cells adapt by activating efflux pumps and diverse protective pathways, suggesting that previously proposed harmful effects of 5‐oxoproline may arise from indirect metabolic imbalances rather than the
Pratiksha Dubey +4 more
wiley +1 more source
Research of hierarchical multi-sensor data fusion model for coal mine safety monitoring
A hierarchical multi-sensor data fusion model was proposed in order to improve precision of early warning of multi-sensor detection system and reduce rate of unknowing or false judgement of the state in monitoring process of the multi-sensor.
LIU Kai, GUO Yongyi, WU Shiyue
doaj +1 more source
UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová +2 more
wiley +1 more source
Directed evolution of enzymes at the crossroads of tradition and innovation
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
Data fusion in distributed multi-sensor system
This paper presents a data fusion method in distributed multi-sensor system including GPS and INS sensors' data processing. First, a residual \Gc2-strategy with the corresponding algorithm is designed. Then a coefficient matrices calculation method of the information sharing principle is derived.
Guo Hang, Yu Min
openaire +1 more source
MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss +7 more
wiley +1 more source
Representation Learning and Nature Encoded Fusion for Heterogeneous Sensor Networks
Target detection based on heterogeneous sensor networks is considered in this paper. Fusion problem is investigated to fully take advantage of the information of multi-modal data.
Longwei Wang, Qilian Liang
doaj +1 more source
We describe detailed protocols for the purification and preparation of Marchantia polymorpha Auxin Response Factor 2 (MpARF2). This protein is fused to an MBP solubility tag and an mNG fluorescent tag and is purified from Escherichia coli. The presented procedures make it possible to study MpARF2 assemblies, which could arise from phase separation ...
Bas Janssen +5 more
wiley +1 more source

