scholarly journals ExoSim: the Exoplanet Observation Simulator

2021 ◽  
Author(s):  
Subhajit Sarkar ◽  
Enzo Pascale ◽  
Andreas Papageorgiou ◽  
Luke J. Johnson ◽  
Ingo Waldmann
Keyword(s):  
Time Dependent ◽  
Correlated Noise ◽  
Specific Time ◽  
Design Studies ◽  
Simulation Tools ◽  
Dynamical Simulation ◽  
Potential Applications ◽  
In Transit ◽  
New Generation ◽  
Dependent Processes

AbstractA new generation of exoplanet research beckons and with it the need for simulation tools that accurately predict signal and noise in transit spectroscopy observations. We developed ExoSim: an end-to-end simulator that models noise and systematics in a dynamical simulation. ExoSim improves on previous simulators in the complexity of its simulation, versatility of use and its ability to be generically applied to different instruments. It performs a dynamical simulation that can capture temporal effects such as correlated noise and systematics on the light curve. It has also been extensively validated, including against real results from the Hubble WFC3 instrument. We find ExoSim is accurate to within 5% in most comparisons. ExoSim can interact with other models which simulate specific time-dependent processes. A dedicated star spot simulator allows ExoSim to produce simulated observations that include spot and facula contamination. ExoSim has been used extensively in the Phase A and B design studies of the ARIEL mission, and has many potential applications in the field of transit spectroscopy.

scholarly journals A Review on Electroporation-Based Intracellular Delivery

Molecules ◽  
2018 ◽  
Vol 23 (11) ◽  
pp. 3044 ◽  
Author(s):  
Junfeng Shi ◽  
Yifan Ma ◽  
Jing Zhu ◽  
Yuanxin Chen ◽  
Yating Sun ◽  
...  
Keyword(s):  
Viral Vectors ◽  
Safety Issue ◽  
Intracellular Delivery ◽  
Cellular Reprogramming ◽  
Gene Therapies ◽  
Potential Safety ◽  
Potential Applications ◽  
Dose Control ◽  
Intracellular Probe ◽  
New Generation

Intracellular delivery is a critical step in biological discoveries and has been widely utilized in biomedical research. A variety of molecular tools have been developed for cell-based gene therapies, including FDA approved CAR-T immunotherapy, iPSC, cell reprogramming and gene editing. Despite the inspiring results of these applications, intracellular delivery of foreign molecules including nucleic acids and proteins remains challenging. Efficient yet non-invasive delivery of biomolecules in a high-throughput manner has thus long fascinates the scientific community. As one of the most popular non-viral technologies for cell transfection, electroporation has gone through enormous development with the assist of nanotechnology and microfabrication. Emergence of miniatured electroporation system brought up many merits over the weakness of traditional electroporation system, including precise dose control and high cell viability. These new generation of electroporation systems are of considerable importance to expand the biological applications of intracellular delivery, bypassing the potential safety issue of viral vectors. In this review, we will go over the recent progresses in the electroporation-based intracellular delivery and several potential applications of cutting-edge research on the miniatured electroporation, including gene therapy, cellular reprogramming and intracellular probe.

Thermoelastic Constitutive Equations for Chemically Hardening Materials

1974 ◽  
Vol 41 (3) ◽  
pp. 652-657 ◽  
Author(s):  
Bernard W. Shaffer ◽  
Myron Levitsky
Keyword(s):  
Bulk Modulus ◽  
Strain Rate ◽  
Chemical Reaction ◽  
Constitutive Equations ◽  
Strain Energy ◽  
Elastic Solid ◽  
Time Dependent ◽  
Component Model ◽  
Two Component ◽  
Potential Applications

Thermoelastic constitutive equations are derived for a material undergoing solidification or hardening as the result of a chemical reaction. The derivation is based upon a two component model whose composition is determined by the degree of hardening, and makes use of strain-energy considerations. Constitutive equations take the form of stress rate-strain rate relations, in which the coefficients are time-dependent functions of the composition. Specific results are developed for the case of a material of constant bulk modulus which undergoes a transition from an initial liquidlike state into an isotropic elastic solid. Potential applications are discussed.

scholarly journals Theoretical analysis of mixing in liquid clouds – Part IV: DSD evolution and mixing diagrams

2018 ◽  
Vol 18 (5) ◽  
pp. 3659-3676 ◽  
Author(s):  
Mark Pinsky ◽  
Alexander Khain
Keyword(s):  
Relative Humidity ◽  
Droplet Size Distribution ◽  
Droplet Evaporation ◽  
Cloud Fraction ◽  
Time Dependent ◽  
Droplet Concentration ◽  
The Mean ◽  
The Difference ◽  
Mixing Diagrams ◽  
Dependent Processes

Abstract. Evolution of droplet size distribution (DSD) due to mixing between cloudy and dry volumes is investigated for different values of the cloud fraction and for different initial DSD shapes. The analysis is performed using a diffusion–evaporation model which describes time-dependent processes of turbulent diffusion and droplet evaporation within a mixing volume. Time evolution of the DSD characteristics such as droplet concentration, LWC and mean volume radii is analyzed. The mixing diagrams are plotted for the final mixing stages. It is shown that the difference between the mixing diagrams for homogeneous and inhomogeneous mixing is insignificant and decreases with an increase in the DSD width. The dependencies of the normalized cube of the mean volume radius on the cloud fraction were compared with those on normalized droplet concentration and found to be quite different. If the normalized droplet concentration is used, mixing diagrams do not show any significant dependence on relative humidity in the dry volume. The main conclusion of the study is that traditional mixing diagrams cannot serve as a reliable tool for analysis of mixing type.

VOLTAGE-CONTROLLED MAGNETIC ANISOTROPY IN SPINTRONIC DEVICES

SPIN ◽  
2012 ◽  
Vol 02 (03) ◽  
pp. 1240002 ◽  
Author(s):  
PEDRAM KHALILI AMIRI ◽  
KANG L. WANG
Keyword(s):  
Magnetic Anisotropy ◽  
Random Access ◽  
Magnetic Tunnel Junction ◽  
Magnetic Films ◽  
Magnetization Dynamics ◽  
Spintronic Devices ◽  
Magnetic Random Access Memory ◽  
Thin Magnetic Films ◽  
Potential Applications ◽  
New Generation

Electric-field-control of magnetism can dramatically improve the energy efficiency of spintronic devices and enhance the performance of magnetic memories. More generally, it expands the range of applications of nonvolatile spintronic devices, by making them energetically competitive compared to conventional semiconductor solutions for logic and computation, thereby potentially enabling a new generation of ultralow-power nonvolatile spintronic systems. This paper reviews recent experiments on the voltage-controlled magnetic anisotropy (VCMA) effect in thin magnetic films, and their device implications. The interfacial perpendicular anisotropy in layered magnetic material stacks, as well as its modulation by voltage, are discussed. Ferromagnetic resonance experiments and VCMA-induced high-frequency magnetization dynamics are reviewed. Finally, we discuss recent progress on voltage-induced switching of magnetic tunnel junction devices and its potential applications to magnetic random access memory (MRAM).

An Evolutionary Approach for Time Dependent Optimization

1997 ◽  
Vol 06 (04) ◽  
pp. 665-695 ◽  
Author(s):  
Philippe Collard ◽  
Cathy Escazut ◽  
Alessio Gaspar
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Mobile Robotics ◽  
Time Dependent ◽  
Natural Evolution ◽  
Fundamental Properties ◽  
Evaluation Functions ◽  
Potential Applications ◽  
Adaptive Tool ◽  
Real World Problems

Many real-world problems involve measures of objectives that may be dynamically optimized. The application of evolutionary algorithms, such as genetic algorithms, in time dependent optimization is currently receiving growing interest as potential applications are numerous ranging from mobile robotics to real time process command. Moreover, constant evaluation functions skew results relative to natural evolution so that it has become a promising gap to combine effectiveness and diversity in a genetic algorithm. This paper features both theoretical and empirical analysis of the behavior of genetic algorithms in such an environment. We present a comparison between the effectivenss of traditional genetic algorithm and the dual genetic algorithm which has revealed to be a particularly adaptive tool for optimizing a lot of diversified classes of functions. This comparison has been performed on a model of dynamical environments which characteristics are analyzed in order to establish the basis of a testbed for further experiments. We also discuss fundamental properties that explain the effectiveness of the dual paradigm to manage dynamical environments.

Muscling in on microarrays

2008 ◽  
Vol 33 (1) ◽  
pp. 124-129 ◽  
Author(s):  
Carl Virtanen ◽  
Mark Takahashi
Keyword(s):  
Gene Expression ◽  
High Throughput ◽  
Dna Microarrays ◽  
Gene Expression Analysis ◽  
Exercise Physiology ◽  
Regulation Of Gene Expression ◽  
Enormous Amount ◽  
Potential Applications ◽  
New Generation ◽  
Affect Gene Expression

Adaptations that are the result of exercise require a multitude of changes at the level of gene expression. The mechanisms involved in regulating these changes are many, and can occur at various points in the pathways that affect gene expression. The completion of the human genome sequence, along with the genomes of related species, has provided an enormous amount of information to help dissect and understand these pathways. High-throughput methods, such as DNA microarrays, were the first on the scene to take advantage of this wealth of information. A new generation of microarrays has now taken the next step in revealing the mechanisms controlling gene expression. Analysis of the regulation of gene expression can now be profiled in a high-throughput fashion. However, the application of this technology has yet to be fully realized in the exercise physiology community. This review will highlight some of the latest advances in microarrays and briefly discuss some potential applications to the field of exercise physiology.

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