Results 81 to 90 of about 768,712 (268)
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
Adaptive Fractional Differencing for Learning-Optimal Long-Memory Preservation
Forecasting and prediction in financial time series are fundamentally challenging due to non-stationarity and long-range dependence (LRD) nature of such series.
Sarit Maitra
doaj +1 more source
Criterion of Existence of Power-Law Memory for Economic Processes
In this paper, we propose criteria for the existence of memory of power-law type (PLT) memory in economic processes. We give the criterion of existence of power-law long-range dependence in time by using the analogy with the concept of the long-range ...
Vasily E. Tarasov, Valentina V. Tarasova
doaj +1 more source
Yeast Gcn2 retains activity following humanization of its auto‐phosphorylation region
Using Saccharomyces cerevisiae as a model to study Gcn2 activation and regulation is limited by the lack of antibodies detecting phosphorylated Gcn2. To overcome this, we engineered Gcn2‐HsC, a yeast Gcn2 variant recognizable by commercial anti‐human phospho‐GCN2 antibodies.
Reuben A. Anderson +2 more
wiley +1 more source
When investigating fractal phenomena, the following questions are fundamental for the applied researcher: (1) What are essential statistical properties of 1/f noise? (2) Which estimators are available for measuring fractality?
Tatjana eStadnitski
doaj +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
Long Memory of Pathfinding Aesthetics
This paper investigates a new dynamic (i.e., space‐time) model to measure aesthetic values in pathfinding for videogames. The results we report are important firstly because the artificial intelligence literature has given relatively little attention to aesthetic considerations in pathfinding.
openaire +2 more sources
Chronobiology of Cancer: How Aging Fuels Oncogenesis at the Molecular Level
This graphical abstract illustrates the key biological pathways linking aging with cancer development and progression. In the upper left, cumulative exposure to ultraviolet radiation, toxins, and reactive oxygen species (ROS) causes DNA damage and genomic instability, whereas age‐related decline in repair mechanisms, such as ATM/ATR, BER, and NER ...
Anu Singh, Aroonima Misra, Sufian Zaheer
wiley +1 more source
Fractional Calculus as a Simple Tool for Modeling and Analysis of Long Memory Process in Industry
This paper deals with the application of the fractional calculus as a tool for mathematical modeling and analysis of real processes, so called fractional-order processes. It is well-known that most real industrial processes are fractional-order ones. The
Ivo Petráš, Ján Terpák
doaj +1 more source
ABSTRACT This article examines the evolving role of organizational leadership amidst the rapid advancements in artificial intelligence (AI). It explores a broadly experienced and documented crisis in leadership, due in part to the disruptive nature of AI and emerging technology.
Rachel Wlodarsky, Davin Carr Chellman
wiley +1 more source

