scholarly journals Computational Modeling of the Nature and Role of Ga Species for Light Alkane Dehydrogenation Catalyzed by Ga/H-MFI

ACS Catalysis ◽  
2018 ◽  
Vol 8 (7) ◽  
pp. 6146-6162 ◽  
Author(s):  
Erum Mansoor ◽  
Martin Head-Gordon ◽  
Alexis T. Bell
2021 ◽  
pp. 174569162096679
Author(s):  
Ivan Grahek ◽  
Mark Schaller ◽  
Jennifer L. Tackett

Discussions about the replicability of psychological studies have primarily focused on improving research methods and practices, with less attention paid to the role of well-specified theories in facilitating the production of reliable empirical results. The field is currently in need of clearly articulated steps to theory specification and development, particularly regarding frameworks that may generalize across different fields of psychology. Here we focus on two approaches to theory specification and development that are typically associated with distinct research traditions: computational modeling and construct validation. We outline the points of convergence and divergence between them to illuminate the anatomy of a scientific theory in psychology—what a well-specified theory should contain and how it should be interrogated and revised through iterative theory-development processes. We propose how these two approaches can be used in complementary ways to increase the quality of explanations and the precision of predictions offered by psychological theories.


2021 ◽  
Vol 50 (7) ◽  
pp. 4359-4381
Author(s):  
Chunyi Li ◽  
Guowei Wang

This review summarizes recent progress in the catalysts and reactors for light alkane dehydrogenation, providing new directions for dehydrogenation technologies.


2021 ◽  
pp. 130995
Author(s):  
Gabriel Zazeri ◽  
Ana Paula Ribeiro Povinelli ◽  
Nathalia M. Pavan ◽  
Daniella Romano de Carvalho ◽  
Carmen Lúcia Cardoso ◽  
...  

2019 ◽  
Vol 7 (2) ◽  
pp. 8 ◽  
Author(s):  
DiLoreto ◽  
Chute ◽  
Bryce ◽  
Srinivasan

The complete structure and connectivity of the Caenorhabditis elegans nervous system (“mind of a worm”) was first published in 1986, representing a critical milestone in the field of connectomics. The reconstruction of the nervous system (connectome) at the level of synapses provided a unique perspective of understanding how behavior can be coded within the nervous system. The following decades have seen the development of technologies that help understand how neural activity patterns are connected to behavior and modulated by sensory input. Investigations on the developmental origins of the connectome highlight the importance of role of neuronal cell lineages in the final connectivity matrix of the nervous system. Computational modeling of neuronal dynamics not only helps reconstruct the biophysical properties of individual neurons but also allows for subsequent reconstruction of whole-organism neuronal network models. Hence, combining experimental datasets with theoretical modeling of neurons generates a better understanding of organismal behavior. This review discusses some recent technological advances used to analyze and perturb whole-organism neuronal function along with developments in computational modeling, which allows for interrogation of both local and global neural circuits, leading to different behaviors. Combining these approaches will shed light into how neural networks process sensory information to generate the appropriate behavioral output, providing a complete understanding of the worm nervous system.


2015 ◽  
Vol 31 (5) ◽  
Author(s):  
Zeeshan Nawaz

AbstractThe dehydrogenation of light alkanes, especially propane and butane, is widely exploited for the large-scale production of corresponding olefins. The industrial application of the direct dehydrogenation of light alkanes is limited due to reaction and thermodynamic constraints. The dehydrogenation of light hydrocarbons involves the breaking of two carbon–hydrogen bonds with the simultaneous formation of a hydrogen and carbon-carbon double bond selectively. It may appear to be simple, but their endothermic nature and selectivity control at higher temperature is difficult. The same technologies with minor changes in process and catalyst were used for the production of both propane and isobutane dehydrogenation. The economic analysis of the available technologies based on the specific consumption of feedstock, operational ease, and capital investment indicates an internal rate of return ~25%. The attractiveness of light alkane dehydrogenation is largely dependent on the difference in feedstock and the price of olefins produced. The available technologies and how they manage reaction constraints at commercial scale have been compared. The possible solution for improvement is by focusing on catalyst improvements and the unique design of reactors.


2009 ◽  
Vol 4 (3) ◽  
pp. 290-303 ◽  
Author(s):  
Jean-Christophe Leloup

AbstractCircadian clocks are based on a molecular mechanism regulated at the transcriptional, translational and post-translational levels. Recent experimental data unravel a complex role of the phosphorylations in these clocks. In mammals, several kinases play differential roles in the regulation of circadian rhythmicity. A dysfunction in the phosphorylation of one clock protein could lead to sleep disorders such as the Familial Advanced Sleep Phase Disorder, FASPS. Moreover, several drugs are targeting kinases of the circadian clocks and can be used in cancer chronotherapy or to treat mood disorders. In Drosophila, recent experimental observations also revealed a complex role of the phosphorylations. Because of its high degree of homology with mammals, the Drosophila system is of particular interest. In the circadian clock of cyanobacteria, an atypical regulatory mechanism is based only on three clock proteins (KaiA, KaiB, KaiC) and ATP and is sufficient to produce robust temperature-compensated circadian oscillations of KaiC phosphorylation. This review will show how computational modeling has become a powerful and useful tool in investigating the regulatory mechanism of circadian clocks, but also how models can give rise to testable predictions or reveal unexpected results.


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