scholarly journals Motor output and control input in flapping flight: a compact model of the deforming wing kinematics of manoeuvring hoverflies

2019 ◽  
Author(s):  
Indira Nagesh ◽  
Simon M. Walker ◽  
Graham K. Taylor
Keyword(s):  
Principal Components ◽  
Insect Flight ◽  
Control Input ◽  
Wing Kinematics ◽  
Input Variables ◽  
Functional Principal Components ◽  
And Control ◽  
High Degree ◽  
Statistical Resampling ◽  
Insight Into

Insects are conventionally modelled as controlling flight by varying a few summary kinematic parameters that are defined on a per-wingbeat basis, such as the stroke amplitude, mean stroke angle, and mean wing pitch angle. Nevertheless, as insects have tens of flight muscles and vary their kinematics continuously, the true dimension of their control input subspace is likely to be much higher. Here we present a compact description of the deforming wing kinematics of 36 manoeuvring Eristalis hoverflies, applying functional principal components analysis to Fourier series fits of the wingtip position and wing twist measured over 26,541 wingbeats. This analysis offers a high degree of data reduction, in addition to insight into the natural kinematic couplings. We used statistical resampling techniques to verify that the principal components were repeatable features of the data, and analysed their coefficient vectors to provide insight into the form of these natural couplings. Conceptually, the dominant principal components provide a natural set of control input variables that span the control input subspace of this species, but they can also be thought of as output states of the flight motor. This functional description of the wing kinematics is appropriate to modelling insect flight as a form of limit cycle control.

scholarly journals Motor output and control input in flapping flight: a compact model of the deforming wing kinematics of manoeuvring hoverflies

2019 ◽  
Vol 16 (161) ◽  
pp. 20190435
Author(s):  
Indira Nagesh ◽  
Simon M. Walker ◽  
Graham K. Taylor
Keyword(s):  
Principal Components ◽  
Insect Flight ◽  
Control Input ◽  
Wing Kinematics ◽  
Input Variables ◽  
Functional Principal Components ◽  
And Control ◽  
High Degree ◽  
Statistical Resampling ◽  
Insight Into

Insects are conventionally modelled as controlling flight by varying a few summary kinematic parameters that are defined on a per-wingbeat basis, such as the stroke amplitude, mean stroke angle and mean wing pitch angle. Nevertheless, as insects have tens of flight muscles and vary their kinematics continuously, the true dimension of their control input space is likely to be much higher. Here, we present a compact description of the deforming wing kinematics of 36 manoeuvring Eristalis hoverflies, applying functional principal components analysis to Fourier series fits of the wingtip position and wing twist measured over 26 541 wingbeats. This analysis offers a high degree of data reduction, in addition to insight into the natural kinematic couplings. We used statistical resampling techniques to verify that the principal components (PCs) were repeatable features of the data, and analysed their coefficient vectors to provide insight into the form of these natural couplings. Conceptually, the dominant PCs provide a natural set of control input variables that span the control input subspace utilized by this species, but they can also be thought of as output states of the flight motor. This functional description of the wing kinematics is appropriate to modelling insect flight as a form of limit cycle control.

scholarly journals INHIBITION OF THE LESIONS OF PRIMARY VACCINIA AND OF DELAYED HYPERSENSITIVITY THROUGH IMMUNOLOGICAL TOLERANCE IN RABBITS

1963 ◽  
Vol 117 (4) ◽  
pp. 633-646 ◽  
Author(s):  
John A. Flick ◽  
William B. Pincus
Keyword(s):  
Vaccinia Virus ◽  
Virus Isolation ◽  
Immunological Tolerance ◽  
Delayed Hypersensitivity ◽  
Successful Infection ◽  
Skin Allergy ◽  
Draining Lymph Node ◽  
And Control ◽  
High Degree ◽  
Insight Into

In order to gain insight into the pathogenesis of the vesicular lesion of local primary vaccinia infection, newborn rabbits were injected with 0.5 mg of purified inactivated vaccinia virus in an attempt to render them immunologically tolerant. Within a few days these, and control normal rabbits of the same age, were infected on the skin with active vaccinia virus. Most of the tolerant-prepared rabbits failed to develop a local lesion of vaccinia but some developed a very atypical lesion. Successful virus isolation from some, and the presence of inclusions in the tissues of others, indicated successful infection with the virus. Skin allergy to the active virus failed to develop in the test animals but did in the controls. Thus, there was a high degree of correlation between inability to produce delayed hypersensitivity to the viral antigens and failure to develop a vaccinial skin lesion, indicating the probable allergic nature of the primary lesion. There was also a high mortality rate in the group of tolerant-prepared, infected animals. It was associated with a spreading of the virus from the site of infection to the organs, suggesting that generalized vaccinial infection was the cause of death. The observations were compatible with the hypothesis that death was due to viral toxicity. The observations also suggest that, in the animal possessing normal immunological function, active immunity develops rapidly, perhaps at the level of the draining lymph node, to prevent appreciable virus from leaving the site of infection. The absence of detectable immunological activity toward vaccinia virus early in the tolerant-prepared animals and even after 1 month in some of the survivors, indicates that a high degree of immunological tolerance was produced against these microbial antigens.

An insight into Case Management and Challenges in Veteran Suicide Prevention

2020 ◽  
pp. 14-25
Author(s):  
Tamara Green
Keyword(s):  
Case Management ◽  
Suicide Prevention ◽  
Suicide Risk ◽  
Digital Transformation ◽  
Prevention Science ◽  
Historical Records ◽  
Military Members ◽  
Prediction And Control ◽  
And Control ◽  
Insight Into

Much of the literature, policies, programs, and investment has been made on mental health, case management, and suicide prevention of veterans. The Australian “veteran community is facing a suicide epidemic for the reasons that are extremely complex and beyond the scope of those currently dealing with them.” (Menz, D: 2019). Only limited work has considered the digital transformation of loosely and manual-based historical records and no enablement of Artificial Intelligence (A.I) and machine learning to suicide risk prediction and control for serving military members and veterans to date. This paper presents issues and challenges in suicide prevention and management of veterans, from the standing of policymakers to stakeholders, campaigners of veteran suicide prevention, science and big data, and an opportunity for the digital transformation of case management.

Stormwater inflow prediction using radar rainfall data compressed by principal component analysis

2006 ◽  
Vol 1 (1) ◽  
Author(s):  
K. Katayama ◽  
K. Kimijima ◽  
O. Yamanaka ◽  
A. Nagaiwa ◽  
Y. Ono
Keyword(s):  
Principal Component Analysis ◽  
Prediction Model ◽  
Principal Components ◽  
Prediction Method ◽  
Principal Component ◽  
Component Analysis ◽  
Rainfall Data ◽  
Radar Rainfall ◽  
Input Variables ◽  
Inflow Prediction

This paper proposes a method of stormwater inflow prediction using radar rainfall data as the input of the prediction model constructed by system identification. The aim of the proposal is to construct a compact system by reducing the dimension of the input data. In this paper, Principal Component Analysis (PCA), which is widely used as a statistical method for data analysis and compression, is applied to pre-processing radar rainfall data. Then we evaluate the proposed method using the radar rainfall data and the inflow data acquired in a certain combined sewer system. This study reveals that a few principal components of radar rainfall data can be appropriate as the input variables to storm water inflow prediction model. Consequently, we have established a procedure for the stormwater prediction method using a few principal components of radar rainfall data.

Galileo Unbound

2018 ◽  
Author(s):  
David D. Nolte
Keyword(s):  
Free Fall ◽  
The Sun ◽  
Quantum Field ◽  
Many Worlds ◽  
Quantum Particles ◽  
Light Rays ◽  
History Of ◽  
And Control ◽  
The Universe ◽  
Insight Into

Galileo Unbound: A Path Across Life, The Universe and Everything traces the journey that brought us from Galileo’s law of free fall to today’s geneticists measuring evolutionary drift, entangled quantum particles moving among many worlds, and our lives as trajectories traversing a health space with thousands of dimensions. Remarkably, common themes persist that predict the evolution of species as readily as the orbits of planets or the collapse of stars into black holes. This book tells the history of spaces of expanding dimension and increasing abstraction and how they continue today to give new insight into the physics of complex systems. Galileo published the first modern law of motion, the Law of Fall, that was ideal and simple, laying the foundation upon which Newton built the first theory of dynamics. Early in the twentieth century, geometry became the cause of motion rather than the result when Einstein envisioned the fabric of space-time warped by mass and energy, forcing light rays to bend past the Sun. Possibly more radical was Feynman’s dilemma of quantum particles taking all paths at once—setting the stage for the modern fields of quantum field theory and quantum computing. Yet as concepts of motion have evolved, one thing has remained constant, the need to track ever more complex changes and to capture their essence, to find patterns in the chaos as we try to predict and control our world.

scholarly journals Closed-form time derivatives of the equations of motion of rigid body systems

2021 ◽  
Author(s):  
Andreas Müller ◽  
Shivesh Kumar
Keyword(s):  
Rigid Body ◽  
Closed Form ◽  
Multibody Systems ◽  
Equations Of Motion ◽  
Alternative Formulation ◽  
Dynamics Of Rigid Body ◽  
Control Forces ◽  
And Control ◽  
Derivatives Of ◽  
Insight Into

AbstractDerivatives of equations of motion (EOM) describing the dynamics of rigid body systems are becoming increasingly relevant for the robotics community and find many applications in design and control of robotic systems. Controlling robots, and multibody systems comprising elastic components in particular, not only requires smooth trajectories but also the time derivatives of the control forces/torques, hence of the EOM. This paper presents the time derivatives of the EOM in closed form up to second-order as an alternative formulation to the existing recursive algorithms for this purpose, which provides a direct insight into the structure of the derivatives. The Lie group formulation for rigid body systems is used giving rise to very compact and easily parameterized equations.

scholarly journals Identification of Diagnostic and Prognostic microRNAs for Recurrent Vitreous Hemorrhage in Patients with Proliferative Diabetic Retinopathy

2019 ◽  
Vol 8 (12) ◽  
pp. 2217 ◽  
Author(s):  
Parviz Mammadzada ◽  
Juliette Bayle ◽  
Johann Gudmundsson ◽  
Anders Kvanta ◽  
Helder André
Keyword(s):  
Diabetic Retinopathy ◽  
Proliferative Diabetic Retinopathy ◽  
Vitreous Hemorrhage ◽  
Control Group ◽  
Ocular Tissues ◽  
Recurrent Hemorrhage ◽  
Pars Plana ◽  
And Control ◽  
Insight Into ◽  
Recurrent Vitreous Hemorrhage

MicroRNAs (miRNAs) can provide insight into the pathophysiological states of ocular tissues such as proliferative diabetic retinopathy (PDR). In this study, differences in miRNA expression in vitreous from PDR patients with and without incidence of recurrent vitreous hemorrhage (RVH) after the initial pars-plana vitrectomy (PPV) were analyzed, with the aim of identifying biomarkers for RVH. Fifty-four consented vitreous samples were analyzed from patients undergoing PPV for PDR, of which eighteen samples underwent a second surgery due to RVH. Ten of the sixty-six expressed miRNAs (miRNAs-19a, -20a, -22, -27a, -29a, -93, -126, -128, -130a, and -150) displayed divergences between the PDR vitreous groups and to the control. A significant increase in the miRNA-19a and -27a expression was determined in PDR patients undergoing PPV as compared to the controls. miRNA-20a and -93 were significantly upregulated in primary PPV vitreous samples of patients afflicted with RVH. Moreover, this observed upregulation was not significant between the non-RVH and control group, thus emphasizing the association with RVH incidence. miRNA-19a and -27a were detected as putative vitreous biomarkers for PDR, and elevated levels of miRNA-20a and -93 in vitreous with RVH suggest their biomarker potential for major PDR complications such as recurrent hemorrhage incidence.

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