Scaling Factors
Scaling Factors - Related Videos
03:45
Antibody Staining of Scale Melanocytes: A Technique to Detect Transcription Factors Expressed in Dorsal Scale-associated Melanocytes of Zebrafish Models
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2023
This video describes the antibody staining method to detect transcription factors expression in dorsal scale-associated melanocytes of zebrafish models. This immunostaining technique helps specifically identify the melanocyte-inducing transfection factor-A in the transgenic zebrafish.
02:41
pH Scale
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2020
Hydronium and hydroxide ions are present both in pure water and in all aqueous solutions, and their concentrations are inversely proportional as determined by the ion product of water (Kw). The concentrations of these ions in a solution are often critical determinants of the solution’s properties and the chemical behaviors of its other solutes. Two different solutions can differ in their hydronium or hydroxide ion concentrations by a million, billion, or even trillion times. A common means of...
03:49
Zebrafish Scale Regeneration In Toto and Ex Vivo Culture of Scales
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Cited by 2 •
2024
This protocol describes the harvesting and visualization of elasmoid scales of zebrafish during in vivo regeneration. In addition, the ex vivo culture of these scales for up to 7 days after harvest is presented.
09:17
Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion
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Cited by 2 •
2022
The goal of this protocol is to reveal structural dynamics of one-dimensional diffusion of protein along DNA, using a plant transcription factor WRKY domain protein as an exemplary system. To do this, both atomistic and coarse-grained molecular dynamics simulations along with extensive computational samplings have been implemented.
02:16
Transcription Factors
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2019
Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
FAQs
The square-cube law separates changes governed by length, area, and volume. When a design grows, surface-related quantities and volume-related quantities do not increase at the same rate. This mismatch can alter strength, heat transfer, fluid behavior, and energy demand, so engineers cannot assume that a larger version will perform like a proportionally enlarged model.
Dimensionless parameters help engineers compare systems of different sizes by expressing relationships among physical quantities without relying on a particular measurement scale. Preserving relevant dimensionless behavior can help a model and a full-scale design exhibit comparable physical responses. This approach is especially useful when linking laboratory studies to reactors, heat exchangers, aircraft, or other engineered systems.
Geometric similarity requires corresponding dimensions to maintain consistent relationships as a design changes size. It provides a structured basis for predicting how length, area, and volume vary together, but it does not guarantee identical performance. Engineers must also consider dimensionless parameters and the resulting changes in strength, heat transfer, fluid flow, or operating requirements.
A practical workflow begins by identifying which system dimensions and performance quantities change with size. Engineers then relate those quantities through geometric similarity, the square-cube law, and relevant dimensionless parameters. Comparing the predicted behavior of a model with the intended full-scale system helps reveal changes in operating requirements and reduces the risk of costly design failures.
Scaling factors support the transition from laboratory or pilot systems to larger engineered designs. Applications identified for this approach include reactors, heat exchangers, aircraft, structures, and manufacturing processes. In each case, the analysis helps connect changes in size or design to expected effects on performance, energy demand, heat transfer, fluid flow, strength, and efficiency.
Scaling analysis can indicate how a design change may affect strength, heat transfer, fluid flow, energy demand, and efficiency before engineers commit to a full-scale system. These predictions provide a basis for evaluating whether laboratory results transfer appropriately to the intended design. The resulting insight can reduce costly failures caused by overlooked size-dependent behavior.