BG-Sentinel™ Trap Efficacy As A Component of Proof-Of-Concept For Push–Pull Control Strategy For Dengue Vector Mosquitoes

2017 ◽  
Vol 33 (4) ◽  
pp. 293-300 ◽  
Author(s):  
Ferdinand V. Salazar ◽  
Theeraphap Chareonviriyaphap ◽  
John P. Grieco ◽  
Atchariya Prabaripai ◽  
Suppaluck Polsomboon ◽  
...  
Keyword(s):  
Control Strategy ◽  
Proof Of Concept ◽  
Dengue Vector ◽  
Pull Control ◽  
Bg Sentinel

scholarly journals Semi-field evaluation of freestanding transfluthrin passive emanators and the BG sentinel trap as a “push-pull control strategy” against Aedes aegypti mosquitoes

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Mgeni M. Tambwe ◽  
Sarah J. Moore ◽  
Hassan Chilumba ◽  
Johnson K. Swai ◽  
Jason D. Moore ◽  
...  
Keyword(s):  
Aedes Aegypti ◽  
Control Strategy ◽  
Field Evaluation ◽  
Pull Control ◽  
Bg Sentinel

A novel active balance assistive control strategy based on virtual stiffness model of XCoM

2019 ◽  
Vol 40 (1) ◽  
pp. 132-142
Author(s):  
Wei Guo ◽  
Shiyin Qiu ◽  
Fusheng Zha ◽  
Jing Deng ◽  
Xin Wang ◽  
...  
Keyword(s):  
Control Strategy ◽  
Design Methodology ◽  
Sagittal Plane ◽  
Center Of Mass ◽  
Proof Of Concept ◽  
Disturbing Force ◽  
Content Type ◽  
Exoskeleton Robot ◽  
Stiffness Model ◽  
Virtual Stiffness

PurposeThis paper aims to propose a novel balance-assistive control strategy for hip exoskeleton robot.Design/methodology/approachA hierarchical balance assistive controller based on the virtual stiffness model of extrapolated center of mass (XCoM) is proposed and tested by exoskeleton balance assistive control experiments.FindingsExperiment results show that the proposed controller can accelerate the swing foot chasing XCoM and enlarge the margin of stability.Originality/valueAs a proof of concept, this paper shows the potential for exoskeleton to actively assist human regain balance in sagittal plane when human suffers from a forward or backward disturbing force.

scholarly journals Sustained Reduction of the Dengue Vector Population Resulting from an Integrated Control Strategy Applied in Two Brazilian Cities

PLoS ONE ◽  
2013 ◽  
Vol 8 (7) ◽  
pp. e67682 ◽  
Author(s):  
Lêda N. Regis ◽  
Ridelane Veiga Acioli ◽  
José Constantino Silveira ◽  
Maria Alice Varjal Melo-Santos ◽  
Wayner Vieira Souza ◽  
...  
Keyword(s):  
Control Strategy ◽  
Integrated Control ◽  
Dengue Vector ◽  
Vector Population ◽  
Sustained Reduction

PT Freeport Indonesia’s mass-pull control strategy for rougher flotation

2008 ◽  
Vol 21 (12-14) ◽  
pp. 808-816 ◽  
Author(s):  
A. Supomo ◽  
E. Yap ◽  
X. Zheng ◽  
G. Banini ◽  
J. Mosher ◽  
...  
Keyword(s):  
Control Strategy ◽  
Pull Control

scholarly journals Periodic dynamic induction control of wind farms: proving the potential in simulations and wind tunnel experiments

2019 ◽  
Author(s):  
Joeri Frederik ◽  
Robin Weber ◽  
Stefano Cacciola ◽  
Filippo Campagnolo ◽  
Alessandro Croce ◽  
...  
Keyword(s):  
Wind Tunnel ◽  
Control Strategy ◽  
Wind Farms ◽  
Periodic Variation ◽  
Simulation Studies ◽  
Proof Of Concept ◽  
Simulation Environment ◽  
Wind Tunnel Experiments ◽  
First Time ◽  
Over Time

Abstract. In this paper, the potential of Dynamic Induction Control (DIC), which has shown promising results in recent simulation studies, is further investigated. When this control strategy is implemented, a turbine varies its induction factor dynamically over time. In this paper, only periodic variation, where the input is a sinusoid, are studied. A proof of concept for this periodic DIC approach will be given by execution of scaled wind tunnel experiments, showing for the first time that this approach can yield power gains in real-world wind farms. Furthermore, the effects on the Damage Equivalent Loads (DEL) of the turbine are evaluated in a simulation environment. These indicate that the increase in DEL on the excited turbine is limited.

Dengue Vector Surveillance Programs

2011 ◽  
Vol 23 (6) ◽  
pp. 827-842 ◽  
Author(s):  
Aishah H. Azil ◽  
Ming Li ◽  
Craig R. Williams
Keyword(s):  
Technology Transfer ◽  
Dengue Vector ◽  
Vector Surveillance ◽  
Health Authorities ◽  
Surveillance Programs ◽  
Bg Sentinel ◽  
Compare And Contrast ◽  
Dengue Vectors

Vector surveillance is a cornerstone of dengue management yet there is a diversity of surveillance programs evident internationally. Such diversity is described in this review to enable a broader assessment of dengue vector surveillance methods. This review describes the diversity of surveillance programs for dengue vectors in several endemic and epidemic countries. Furthermore, strengths and weaknesses of vector surveillance methods, including larval surveys, BG-Sentinel trap, and autocidal and sticky ovitraps, are also discussed. The ability to compare and contrast these programs could contribute to the finding of better methods both locally and nationally and facilitate interregional technology transfer. Health authorities in both endemic and epidemic countries alike could benefit from adopting technologies and practices from other regions.

scholarly journals Optimal COVID-19 epidemic control until vaccine deployment

2020 ◽  
Author(s):  
R. Djidjou-Demasse ◽  
Y. Michalakis ◽  
M. Choisy ◽  
M. T. Sofonea ◽  
S. Alizon
Keyword(s):  
Control Strategy ◽  
Optimal Control Theory ◽  
Health Management ◽  
Natural Immunity ◽  
Proof Of Concept ◽  
Steady Decrease ◽  
Modelling Techniques ◽  
The Cost ◽  
Roll Back ◽  
Epidemic Wave

AbstractSince Dec 2019, the COVID-19 epidemic has spread over the globe creating one of the greatest pandemics ever witnessed. This epidemic wave will only begin to roll back once a critical proportion of the population is immunised, either by mounting natural immunity following infection, or by vaccination. The latter option can minimise the cost in terms of human lives but it requires to wait until a safe and efficient vaccine is developed, a period estimated to last at least 18 months. In this work, we use optimal control theory to explore the best strategy to implement while waiting for the vaccine. We seek a solution minimizing deaths and costs due to the implementation of the control strategy itself. We find that such a solution leads to an increasing level of control with a maximum reached near the fourth month of the epidemics and a steady decrease until vaccine deployment. This strategy strongly outperforms others with constant or cycling allocations of the same amount of resources to control the outbreak. This work opens new perspectives to mitigate the effects of the ongoing COVID-19 pandemics, and be used as a proof-of-concept in using mathematical modelling techniques to enlighten decision making and public health management in the early times of an outbreak.

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