Results 101 to 110 of about 24,640,092 (292)
The age of big data is now coming. But the traditional data analytics may not be able to handle such large quantities of data. The question that arises now is, how to develop a high performance platform to efficiently analyze big data and how to design ...
Tsai, Chun-Wei, +7 more
core +1 more source
Electroencephalogram (EEG) has become an important medium for emotion recognition research due to its high temporal resolution and noninvasive nature. However, significant differences among subjects in skull structure, EEG physiological characteristics ...
Yuanxian Qin +5 more
doaj +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
CGIAR Platform for Big Data in Agriculture - Plan of Work and Budget 2019
2019 is a pivotal year for the CGIAR Platform for Big Data in Agriculture. The Platform has made significant investments in its first two years in helping CGIAR data resources to become more organized and FAIR (Findable, Accessible, Interoperable ...
CGIAR Platform for Big Data in Agriculture
core
Fine-grained image recognition (FGIR) aims to distinguish between visual objects and their subcategories with subtle differences. Due to the highly similar features between categories in fine-grained image recognition tasks, the model requires more ...
Chenglong Zhou +5 more
doaj +1 more source
Cherry-Net: real-time segmentation algorithm of cherry maturity based on improved PIDNet
IntroductionAccurate identification of cherry maturity and precise detection of harvestable cherry contours are essential for the development of cherry-picking robots. However, occlusion, lighting variation, and blurriness in natural orchard environments
Jie Cui +14 more
doaj +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
A SIR Model with Incomplete Data for the Analysis of Influenza A Spread in Ningbo
In this article, the SIR model is used to fit the spread of influenza A in Ningbo, ranging from January 1, 2023 to June 30, 2023. The data that can be collected is the daily newly confirmed cases, but the daily number of infected individuals and ...
Bingqing Wang +5 more
doaj +1 more source
Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential
Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta +3 more
wiley +1 more source
CTI-Thinker: an LLM-driven system for CTI knowledge graph construction and attack reasoning
With the increasing frequency of APT attacks, cyber defense urgently demands high-quality threat intelligence support. Cyber threat intelligence (CTI) knowledge graphs have demonstrated significant potential in aiding threat detection and behavioral ...
Xiuzhang Yang +9 more
doaj +1 more source

