Temporal Hybrid Model
Temporal Hybrid Model - Related Videos
08:00
Whole-Mount In Situ Hybridization
0 Views •
2023
Whole-mount in situ hybridization (WMISH) is a common technique used for visualizing the location of expressed RNAs in embryos. In this process, synthetically produced RNA probes are first complementarily bound, or "hybridized," to the transcripts of target genes. Immunohistochemistry or fluorescence is then used to detect these RNA hybrids, revealing spatial and temporal patterns of gene expression. Unlike traditional in situ hybridization techniques, which require thin tissue sections whose...
03:24
Hybridization of Atomic Orbitals I
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2020
The mathematical expression known as the wave function, ψ, contains information about each orbital and the wavelike properties of electrons in an isolated atom. When atoms are bound together in a molecule, the wave functions combine to produce new mathematical descriptions that have different shapes. This process of combining the wave functions for atomic orbitals is called hybridization and is mathematically accomplished by the linear combination of atomic orbitals. The new orbitals that...
11:52
Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
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2017
The segmentation clock drives oscillatory gene expression across the pre-somitic mesoderm (PSM). Dynamic Notch activity is key to this process. We use imaging and computational analyses to extract temporal dynamics from spatial expression data to demonstrate that Delta ligand and Notch receptor expression oscillate in the vertebrate PSM.
03:35
Hybridization of Atomic Orbitals II
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2020
sp3d and sp3d 2 Hybridization To describe the five bonding orbitals in a trigonal bipyramidal arrangement, we must use five of the valence shell atomic orbitals (the s orbital, the three p orbitals, and one of the d orbitals), which gives five sp3d hybrid orbitals. With an octahedral arrangement of six hybrid orbitals, we must use six valence shell atomic orbitals (the s orbital, the three p orbitals, and two of the d orbitals in its valence shell), which gives six sp3d 2 hybrid orbitals.
09:09
A Label-free Technique for the Spatio-temporal Imaging of Single Cell Secretions
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Cited by 5 •
2015
Inter-cellular communication is critical for controlling various physiological activities within and outside the cell. This paper describes a protocol for measuring the spatio-temporal nature of single cell secretions. To achieve this, a multidisciplinary approach is used which integrates label-free nanoplasmonic sensing with live cell imaging.
FAQs
Continuous equations advance variables such as temperature, concentration, or flow, while event rules monitor specified conditions. When a threshold is reached, the model changes the system’s state or behavior according to the associated rule, then continues the time-dependent calculation. This linkage lets gradual environmental change trigger abrupt responses within one simulation rather than treating the processes separately.
Using only continuous equations can miss abrupt transitions, whereas relying only on discrete rules can omit gradual environmental variation. A Temporal Hybrid Model preserves both forms of behavior and connects them through event conditions. That connection is important when a slow change in a measured factor can produce a sudden disturbance, management action, or regime shift in the modeled system.
Thresholds serve as the bridge between the model’s two kinds of dynamics. They identify when a continuously changing quantity has reached a condition that activates a discrete transition. The selected variable, condition, and resulting rule therefore influence when the system changes behavior. In environmental simulations, this structure can represent abrupt responses emerging from evolving temperature, concentration, or flow.
To construct one, first identify the environmental quantities that vary over time and represent them with time-dependent equations. Next, specify the discrete events, disturbances, management actions, or regime shifts, together with the conditions that trigger them. Finally, connect those rules to the evolving variables and run simulations so the model can move between gradual change and event-driven behavior.
Researchers can apply the framework to scenario analysis by varying the environmental conditions or the events included in a simulation. Comparing resulting trajectories helps examine how a system responds to changing conditions, including cases in which gradual variation leads to a sudden transition. The approach is therefore useful for exploring alternative disturbances or management actions within a consistent computational representation.
In environmental research, the model can link continuously changing factors such as temperature, concentration, and flow with abrupt disturbances, interventions, or regime shifts. Its outputs support assessment of both gradual trajectories and event-related changes, rather than focusing on only one type of behavior. This makes the framework relevant when researchers need to evaluate how environmental systems respond as conditions evolve.