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Robust detection of periodic time series measured from biological systems
Published 2005-05-01“…</p> <p>Conclusion</p> <p>As the time series measured from biological systems are usually short and prone to contain different kinds of non-idealities, we are very optimistic about the multitude of possible applications for our proposed robust statistical periodicity detection method.…”
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222
ADAM: Analysis of Discrete Models of Biological Systems Using Computer Algebra
Published 2011-07-01“…<p>Abstract</p> <p>Background</p> <p>Many biological systems are modeled qualitatively with discrete models, such as probabilistic Boolean networks, logical models, Petri nets, and agent-based models, to gain a better understanding of them. …”
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223
Evaluation of the Effects of Particle Sizes of Silver Nanoparticles on Various Biological Systems
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224
Generation of Typical Meteorological Sequences to Simulate Growth and Production of Biological Systems
Published 2023-04-01“…This work proposes a new methodology to calculate Typical Meteorological Sequences (TMS) that could be used as input data to simulate the growth and productivity of photosynthetic organisms in different biological systems, such as a High-Rate Algae Pond (HRAP) for WWT or in agriculture for crops. …”
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225
Modelling Biological Systems: A New Algorithm for the Inference of Boolean Networks
Published 2021-02-01“…Biological systems are commonly constituted by a high number of interacting agents. …”
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226
Liquid crystal cell as a model of a biological system: biosensor
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227
Spartan: a comprehensive tool for understanding uncertainty in simulations of biological systems.
Published 2013-01-01“…Integrating computer simulation with conventional wet-lab research has proven to have much potential in furthering the understanding of biological systems. Success requires the relationship between simulation and the real-world system to be established: substantial aspects of the biological system are typically unknown, and the abstract nature of simulation can complicate interpretation of in silico results in terms of the biology. …”
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228
On a coupled system of fractional compartmental models for a biological system
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229
Perspective: Engineering noise in biological systems towards predictive stochastic design
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230
The computational study of the tautomerization of Dacarbazine in a biological system: The DFT approach
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231
Photo-Responsive Graphene and Carbon Nanotubes to Control and Tackle Biological Systems
Published 2018-04-01“…In this review, we highlight the properties of photo-responsive carbon nanomaterials obtained by the conjugation of CNTs and graphene with azobenzenes and spiropyrans molecules to investigate biological systems, devising possible future directions in the field.…”
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232
Human Milk Extracellular Vesicles: A Biological System with Clinical Implications
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233
Influence of marine oligosaccharides on the response of various biological systems to UV irradiation
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234
Multiple functions of cold-inducible RNA-binding protein in biological systems
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235
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Callus Culture of Thai Basil Is an Effective Biological System for the Production of Antioxidants
Published 2020-10-01Subjects: Get full text
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237
Nexus of Stochastic and Deterministic Processes on Microbial Community Assembly in Biological Systems
Published 2019-07-01“…Microbial community assembly in engineered biological systems is often simultaneously influenced by stochastic and deterministic processes, and the nexus of these two mechanisms remains to be further investigated. …”
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238
Analysis of the determinism of time-series extracted from social and biological systems
Published 2010-12-01“…In this work we analyze data from social and biological systems. A central question is to demonstrate the presence of the determinism in time-series extracted from such systems that appear apparently not correlated but that are two good benchmarks for the study of complexity in real systems. …”
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239
Teaching in the time of COVID-19: A biological systems theory approach
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Current and Future Perspectives on the Structural Identification of Small Molecules in Biological Systems
Published 2016-12-01Get full text
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