Results 71 to 80 of about 9,974,561 (338)
From omics to AI—mapping the pathogenic pathways in type 2 diabetes
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan +2 more
wiley +1 more source
Exploring lipid diversity and minimalism to define membrane requirements for synthetic cells
Designing the lipid membrane of synthetic cells is a complex task, in which its various roles (among them solute transport, membrane protein support, and self‐replication) should all be integrated. In this review, we report the latest top‐down and bottom‐up advances and discuss compatibility and complexity issues of current engineering approaches ...
Sergiy Gan +2 more
wiley +1 more source
Consecutive feedback-driven constitutional dynamic networks
Significance Inspired by nature, where dynamic networks lead to adaptive compositions and emerging functions of the systems, we introduce nucleic-acid–based constitutional dynamic assemblies mimicking natural networks.
Liang Yue +6 more
semanticscholar +1 more source
Networks have been studied mainly by statistical methods which emphasize their topological structure. Here, one collects some mathematical tools and results which might be useful to study both the dynamics of agents living on the network and the networks themselves as evolving dynamical systems.
openaire +3 more sources
Microbial exopolysaccharide production by polyextremophiles in the adaptation to multiple extremes
Polyextremophiles are microorganisms that endure multiple extreme conditions by various adaptation strategies that also include the production of exopolysaccharides (EPSs). This review provides an integrated perspective on EPS biosynthesis, function, and regulation in these organisms, emphasizing their critical role in survival and highlighting their ...
Tracey M Gloster, Ebru Toksoy Öner
wiley +1 more source
Dynamic Graph CNN for Learning on Point Clouds [PDF]
Point clouds provide a flexible geometric representation suitable for countless applications in computer graphics; they also comprise the raw output of most 3D data acquisition devices. While hand-designed features on point clouds have long been proposed
Yue Wang +5 more
semanticscholar +1 more source
AbstractIn the past decade Social Network Analysis (SNA) has become an established research field in the social and behavioral sciences as well as the natural sciences. The international conference on Applications of Social Network Analysis (ASNA) brings this interdisciplinary community together to assess the state of the field and discuss current ...
openaire +3 more sources
Structural dynamics of the plant hormone receptor ETR1 in a native‐like membrane environment
The present study unveils the structural and signaling dynamics of ETR1, a key plant ethylene receptor. Using an optimized nanodisc system and solution NMR, we captured full‐length ETR1 in a native‐like membrane environment. Our findings reveal dynamic domain uncoupling and Cu(I)‐induced rigidification, providing the first evidence of metal‐triggered ...
Moritz Lemke +2 more
wiley +1 more source
Sociophysics has devoted a lot of attention to social influence and opinion dynamics. Among the others, the pioneering works by Galam, where agents randomly gather in groups of different size until consensus is reached, have been used to analyze the spreading of rumors. Galam’s model however, considers only special kinds of social spaces.
Davide Radi +3 more
openaire +4 more sources
OPINION DYNAMICS AND COMMUNICATION NETWORKS [PDF]
This paper examines the interplay of opinion exchange dynamics and communication network formation. An opinion formation procedure is introduced which is based on an abstract representation of opinions as k-dimensional bit-strings. Individuals interact if the difference in the opinion strings is below a defined similarity threshold dI. Depending on dI,
SVEN BANISCH +2 more
openaire +10 more sources

