Results 101 to 110 of about 35,639,582 (304)
Reconstructing enzyme evolution by protein engineering
FEBS Letters, EarlyView.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
Chapter 3. Exploration and Explanation in Data-Driven Storytelling
, 2018 This chapter will explore the differences between and integration of exploration and explanation in visual data-driven storytelling. Exploratory visualizations allow for a lot of freedom which can include changing the visual representation, the focus of ...
Thudt, Alice +4 more
core
Data for data-driven decision-making analysis
, 2022 This study describes data on data-driven decision-making that is introduced for the first time in an organization. Data were collected in semi-structured in-depth interviews and emails and are part of the ethnographic research conducted on the base of ...
Zaitsava, M (via Mendeley Data) +1 more
core +1 more source
Investigating transcription factor dynamics in health and disease using FRAP
FEBS Letters, EarlyView.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
Machine Learning Predictors of Extreme Events Occurring in Complex Dynamical Systems
Entropy, 2019 The ability to characterize and predict extreme events is a vital topic in fields ranging from finance to ocean engineering. Typically, the most-extreme events are also the most-rare, and it is this property that makes data collection and direct ...
Stephen Guth, Themistoklis P. Sapsis
doaj +1 more source
Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential
FEBS Letters, EarlyView.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
Methodological experts suggest that psychological and educational researchers should employ appropriate methods for data-driven model exploration, such as Bayesian Model Averaging and regularized regression, instead of conventional hypothesis-driven ...
Hyemin Han
core +1 more source
Research Progress on Data-Driven Industrial Fault Diagnosis Methods
SensorsWith the advent of Industry 5.0, fault diagnosis is playing an increasingly important role in routine equipment maintenance and condition monitoring. From the perspective of industrial big data, this paper systematically reviews the current mainstream ...
Liang Lei +4 more
doaj +1 more source
FEBS Letters, EarlyView.Animals must match their growth rate to available nutrients. We show that in Drosophila larvae, the nutrient‐sensing TOR kinase controls growth by regulating levels of TFAM, a key regulator of mitochondrial function, in the adipose tissue. When nutrients are abundant, high TOR activity suppresses TFAM, lowering mitochondrial bioenergetic activity and ...
Shrivani Sriskanthadevan‐Pirahas +4 more
wiley +1 more source
Model-driven sustainability accounting dissertation data
As part of the dissertation titled: “Model-driven sustainability accounting”, we have collected empirical data to answer the research question “How can model-driven engineering aid organisations account for their environmental, social and governance ...
Vijanti Ramautar (Utrecht University)
core +1 more source