Quantum-State Control and Manipulation of Paramagnetic Molecules with Magnetic Fields

2021 ◽  
Vol 72 (1) ◽  
Author(s):  
Brianna R. Heazlewood
Keyword(s):  
Magnetic Fields ◽  
Chemical Reactivity ◽  
Paramagnetic Species ◽  
Annual Review ◽  
Publication Date ◽  
State Control ◽  
Magnetic Traps ◽  
Paramagnetic Molecules ◽  
Experimental Approaches ◽  
And Control

Since external magnetic fields were first employed to deflect paramagnetic atoms in 1921, a range of magnetic field–based methods have been introduced to state-selectively manipulate paramagnetic species. These methods include magnetic guides, which selectively filter paramagnetic species from all other components of a beam, and magnetic traps, where paramagnetic species can be spatially confined for extended periods of time. However, many of these techniques were developed for atomic—rather than molecular—paramagnetic species. It has proven challenging to apply some of these experimental methods developed for atoms to paramagnetic molecules. Thanks to the emergence of new experimental approaches and new combinations of existing techniques, the past decade has seen significant progress toward the manipulation and control of paramagnetic molecules. This review identifies the key methods that have been implemented for the state-selective manipulation of paramagnetic molecules—discussing the motivation, state of the art, and future prospects of the field. Key applications include the ability to control chemical interactions, undertake precise spectroscopic measurements, and challenge our understanding of chemical reactivity at a fundamental level. Expected final online publication date for the Annual Review of Physical Chemistry, Volume 72 is April 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Design and Control of Drones

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Mark W. Mueller ◽  
Seung Jae Lee ◽  
Raffaello D’Andrea
Keyword(s):  
Energy Consumption ◽  
Motion Planning ◽  
Recent Progress ◽  
Scaling Laws ◽  
Autonomous Systems ◽  
Annual Review ◽  
Publication Date ◽  
Trade Offs ◽  
Active Research ◽  
And Control

The design and control of drones remain areas of active research, and here we review recent progress in this field. In this article, we discuss the design objectives and related physical scaling laws, focusing on energy consumption, agility and speed, and survivability and robustness. We divide the control of such vehicles into low-level stabilization and higher-level planning such as motion planning, and we argue that a highly relevant problem is the integration of sensing with control and planning. Lastly, we describe some vehicle morphologies and the trade-offs that they represent. We specifically compare multicopters with winged designs and consider the effects of multivehicle teams. Expected final online publication date for the Annual Review of Control, Robotics, and Autonomous Systems, Volume 5 is May 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

scholarly journals Integrated Patterning Programs During Drosophila Development Generate the Diversity of Neurons and Control Their Mature Properties

2021 ◽  
Vol 44 (1) ◽  
Author(s):  
Anthony M. Rossi ◽  
Shadi Jafari ◽  
Claude Desplan
Keyword(s):  
Stem Cells ◽  
Nervous System ◽  
Neural Stem Cells ◽  
Cell Types ◽  
Annual Review ◽  
Publication Date ◽  
Temporal Patterning ◽  
Long Time ◽  
Neuronal Types ◽  
And Control

During the approximately 5 days of Drosophila neurogenesis (late embryogenesis to the beginning of pupation), a limited number of neural stem cells produce approximately 200,000 neurons comprising hundreds of cell types. To build a functional nervous system, neuronal types need to be produced in the proper places, appropriate numbers, and correct times. We discuss how neural stem cells (neuroblasts) obtain so-called area codes for their positions in the nervous system (spatial patterning) and how they keep time to sequentially produce neurons with unique fates (temporal patterning). We focus on specific examples that demonstrate how a relatively simple patterning system (Notch) can be used reiteratively to generate different neuronal types. We also speculate on how different modes of temporal patterning that operate over short versus long time periods might be linked. We end by discussing how specification programs are integrated and lead to the terminal features of different neuronal types. Expected final online publication date for the Annual Review of Neuroscience, Volume 44 is July 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

scholarly journals Analysis and Control of Autonomous Mobility-on-Demand Systems

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Gioele Zardini ◽  
Nicolas Lanzetti ◽  
Marco Pavone ◽  
Emilio Frazzoli
Keyword(s):  
Performance Metrics ◽  
Transportation Systems ◽  
Demand Systems ◽  
Annual Review ◽  
Publication Date ◽  
Systematic Analysis ◽  
On Demand ◽  
Trade Offs ◽  
Autonomous Mobility ◽  
And Control

Challenged by urbanization and increasing travel needs, existing transportation systems need new mobility paradigms. In this article, we present the emerging concept of autonomous mobility-on-demand, whereby centrally orchestrated fleets of autonomous vehicles provide mobility service to customers. We provide a comprehensive review of methods and tools to model and solve problems related to autonomous mobility-on-demand systems. Specifically, we first identify problem settings for their analysis and control, from both operational and planning perspectives. We then review modeling aspects, including transportation networks, transportation demand, congestion, operational constraints, and interactions with existing infrastructure. Thereafter, we provide a systematic analysis of existing solution methods and performance metrics, highlighting trends and trade-offs. Finally, we present various directions for further research. Expected final online publication date for the Annual Review of Control, Robotics, and Autonomous Systems, Volume 5 is May 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Control of Chemical Reaction Pathways by Light–Matter Coupling

2021 ◽  
Vol 72 (1) ◽  
Author(s):  
Dinumol Devasia ◽  
Ankita Das ◽  
Varun Mohan ◽  
Prashant K. Jain
Keyword(s):  
Chemical Reactivity ◽  
Reaction Rates ◽  
Reaction Pathways ◽  
Metal Nanostructures ◽  
Annual Review ◽  
Publication Date ◽  
Strong Light ◽  
Radical Intermediates ◽  
Catalytically Active ◽  
Light Excitation

Because plasmonic metal nanostructures combine strong light absorption with catalytically active surfaces, they have become platforms for the light-assisted catalysis of chemical reactions. The enhancement of reaction rates by plasmonic excitation has been extensively discussed. This review focuses on a less discussed aspect: the induction of new reaction pathways by light excitation. Through commentary on seminal reports, we describe the principles behind the optical modulation of chemical reactivity and selectivity on plasmonic metal nanostructures. Central to these phenomena are excited charge carriers generated by plasmonic excitation, which modify the energy landscape available to surface reactive species and unlock pathways not conventionally available in thermal catalysis. Photogenerated carriers can trigger bond dissociation or desorption in an adsorbate-selective manner, drive charge transfer and multielectron redox reactions, and generate radical intermediates. Through one or more of these mechanisms, a specific pathway becomes favored under light. By improved control over these mechanisms, light-assisted catalysis can be transformational for chemical synthesis and energy conversion. Expected final online publication date for the Annual Review of Physical Chemistry, Volume 72 is April 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Business and Human Rights: Alternative Approaches to Transnational Regulation

2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Surya Deva
Keyword(s):  
Human Rights ◽  
Corporate Culture ◽  
Annual Review ◽  
Publication Date ◽  
International Human Rights Law ◽  
Polycentric Governance ◽  
Business And Human Rights ◽  
Treaty Reform ◽  
And Control ◽  
Investment Agreements

In recent years, various approaches to transnational regulation of business conduct have evolved as an alternative to the command-and-control model focusing on conduct of domestic businesses and the soft law approach of international human rights law to regulate corporations. On reviewing the potential of five such approaches (i.e., polycentric governance, extraterritorial regulation, proposed international treaty, reform of corporate laws, and rebalancing of trade-investment agreements), this article makes two arguments. First, although polycentric governance is critical to fill regulatory deficits of state-based regulation, this approach should not ignore or weaken further the role and relevance of states in regulating businesses, given the dynamic relation between state-based and other regulatory approaches. Second, greater attention should be paid to nonhuman rights regulatory regimes to change the corporate culture, which tends to externalize human rights issues. The increasing focus on the role of corporate laws and trade-investment agreements should be seen in this context. Expected final online publication date for the Annual Review of Law and Social Science, Volume 17 is October 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

scholarly journals Model Reduction Methods for Complex Network Systems

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
X. Cheng ◽  
J.M.A. Scherpen
Keyword(s):  
Autonomous Systems ◽  
High Dimensional ◽  
Annual Review ◽  
Publication Date ◽  
Network Systems ◽  
Modeling And Control ◽  
Reduced Order ◽  
Reduction Methods ◽  
The Stability ◽  
And Control

Network systems consist of subsystems and their interconnections and provide a powerful framework for the analysis, modeling, and control of complex systems. However, subsystems may have high-dimensional dynamics and a large number of complex interconnections, and it is therefore relevant to study reduction methods for network systems. Here, we provide an overview of reduction methods for both the topological (interconnection) structure of a network and the dynamics of the nodes while preserving structural properties of the network. We first review topological complexity reduction methods based on graph clustering and aggregation, producing a reduced-order network model. Next, we consider reduction of the nodal dynamics using extensions of classical methods while preserving the stability and synchronization properties. Finally, we present a structure-preserving generalized balancing method for simultaneously simplifying the topological structure and the order of the nodal dynamics. Expected final online publication date for the Annual Review of Control, Robotics, and Autonomous Systems, Volume 4 is May 3, 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Toward a Criminology of Sexual Harassment

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Christopher Uggen ◽  
Ráchael A. Powers ◽  
Heather McLaughlin ◽  
Amy Blackstone
Keyword(s):  
Sexual Harassment ◽  
Violence Against Women ◽  
Online Publication ◽  
Prevention And Control ◽  
Criminological Theory ◽  
Annual Review ◽  
Publication Date ◽  
Public Attention ◽  
And Control ◽  
Advance Knowledge

Public attention to sexual harassment has increased sharply with the rise of the #MeToo movement, although the phenomenon has sustained strong scientific and policy interest for almost 50 years. A large and impressive interdisciplinary scholarly literature has emerged over this period, yet the criminology of sexual harassment has been slow to develop. This review considers how criminological theory and research can advance knowledge on sexual harassment—and how theory and research on sexual harassment can advance criminological knowledge. We review classic and contemporary studies and highlight points of engagement in these literatures, particularly regarding life-course research and violence against women. After outlining prospects for a criminology of sexual harassment that more squarely addresses perpetrators as well as victims, we discuss how criminological insights might contribute to policy efforts directed toward prevention and control. Expected final online publication date for the Annual Review of Criminology, Volume 4 is January 13, 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Motion Control in Magnetic Microrobotics: From Individual and Multiple Robots to Swarms

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Lidong Yang ◽  
Li Zhang
Keyword(s):  
Motion Control ◽  
Autonomous Systems ◽  
System Structure ◽  
Future Research ◽  
Annual Review ◽  
Publication Date ◽  
Current Feedback ◽  
Loop Control ◽  
Planning And Control ◽  
And Control

Magnetic microrobotics has undergone approximately 20 years of development, and the robotics and control communities have contributed significant theoretical and practical results to the motion control aspects of this field. This article introduces fundamental motion principles covering individual, multiagent, and swarm control and critically reviews the state of the art along with representative results. It then describes closed-loop control (an important part of this field), including the system structure, current motion planning and control methods, and current feedback approaches. As the development of motion control in magnetic microrobotics is far from complete, especially for swarm control, its current limitations are discussed. Finally, we conclude with several challenges and future research directions. Expected final online publication date for the Annual Review of Control, Robotics, and Autonomous Systems, Volume 4 is May 3, 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Causative Microbes in Host-Microbiome Interactions

2021 ◽  
Vol 75 (1) ◽  
Author(s):  
Graham J. Britton ◽  
Jeremiah J. Faith
Keyword(s):  
Immune System ◽  
Human Microbiome ◽  
Individual Species ◽  
Annual Review ◽  
Publication Date ◽  
Sequencing Technology ◽  
Specific Effects ◽  
Therapeutic Benefits ◽  
Experimental Approaches

Despite identification of numerous associations between microbiomes and diseases, the complexity of the human microbiome has hindered identification of individual species and strains that are causative in host phenotype or disease. Uncovering causative microbes is vital to fully understand disease processes and to harness the potential therapeutic benefits of microbiota manipulation. Developments in sequencing technology, animal models, and bacterial culturing have facilitated the discovery of specific microbes that impact the host and are beginning to advance the characterization of host-microbiome interaction mechanisms. We summarize the historical and contemporary experimental approaches taken to uncover microbes from the microbiota that affect host biology and describe examples of commensals that have specific effects on the immune system, inflammation, and metabolism. There is still much to learn, and we lay out challenges faced by the field and suggest potential remedies for common pitfalls encountered in the hunt for causative commensal microbes. Expected final online publication date for the Annual Review of Microbiology, Volume 75 is October 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Koopman Operators for Estimation and Control of Dynamical Systems

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Samuel E. Otto ◽  
Clarence W. Rowley
Keyword(s):  
Numerical Methods ◽  
Autonomous Systems ◽  
The State ◽  
Annual Review ◽  
Publication Date ◽  
Control Input ◽  
Koopman Operator ◽  
Estimation And Control ◽  
And Control ◽  
Theoretical Foundations

A common way to represent a system's dynamics is to specify how the state evolves in time. An alternative viewpoint is to specify how functions of the state evolve in time. This evolution of functions is governed by a linear operator called the Koopman operator, whose spectral properties reveal intrinsic features of a system. For instance, its eigenfunctions determine coordinates in which the dynamics evolve linearly. This review discusses the theoretical foundations of Koopman operator methods, as well as numerical methods developed over the past two decades to approximate the Koopman operator from data, for systems both with and without actuation. We pay special attention to ergodic systems, for which especially effective numerical methods are available. For nonlinear systems with an affine control input, the Koopman formalism leads naturally to systems that are bilinear in the state and the input, and this structure can be leveraged for the design of controllers and estimators. Expected final online publication date for the Annual Review of Control, Robotics, and Autonomous Systems, Volume 4 is May 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Sign in / Sign up

Export Citation Format

Share Document