Results 71 to 80 of about 4,878 (281)
The physical dimensions and shape of bacterial cells define the surface area available to acquire nutrients and the volume available for synthesizing proteins and DNA. Here, we use computational systems biology to decode the importance of cell geometry as a major determinant of prokaryotic phenotype, including growth rate and metabolic efficiency. This
Ross P. Carlson +6 more
wiley +1 more source
Automatic crowd analysis from very high resolution satellite images [PDF]
Recently automatic detection of people crowds from images became a very important research field, since it can provide crucial information especially for police departments and crisis management teams. Due to the importance of the topic, many researchers
Reinartz, Peter, Sirmacek, Beril
core
α‐Synuclein aggregation landscape from phase separation to neurotoxic intermediates
Alpha‐synuclein aggregation in Parkinson's disease involves a complex landscape of transient intermediates, including oligomers, fibrils and liquid–liquid phase separation (LLPS). A view is emerging in which LLPS maturation into solid‐like condensates may contribute to the formation of neurotoxic species.
Silvia Arino +2 more
wiley +1 more source
Optimisation of mobile intelligent terminal data pre-processing methods for crowd sensing
Sensor data pre-processing is an essential phase of crowd sensing application. Existing studies do not effectively solve the problem, and there still exist various sensor data pre-processing optimisation problems at the acquisition end in crowd-sensing ...
Min Huang +3 more
doaj +1 more source
Crowd-sourced sensing and collaboration using twitter [PDF]
—Despite the availability of the sensor and smart-phone devices to fulfill the ubiquitous computing vision, the-state-of-the-art falls short of this vision.
Murat Demirbas +4 more
core +1 more source
Reconstructing enzyme evolution by protein engineering
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
wiley +1 more source
Investigating transcription factor dynamics in health and disease using FRAP
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source
Failure-Aware Mobile Crowd Sensing: A Social Relationship-Based Transfer Approach
As an appealing sensing paradigm, Mobile Crowd Sensing (MCS) which provides a cost-efficient solution for large-scale urban sensing tasks has gained significant attention in recent years.
Liang Wang +5 more
doaj +1 more source
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source

