Carbocyanines in an RNA environment: experiment meets simulation (Conference Presentation)

2016 ◽  
Author(s):  
Richard Boerner ◽  
Fabio Steffen ◽  
Roland K. O. Sigel
Keyword(s):  
Environment Experiment

scholarly journals The Effects of Pedestrian Environments on Walking Behaviors and Perception of Pedestrian Safety

2021 ◽  
Vol 13 (16) ◽  
pp. 8728
Author(s):  
Byoung-Suk Kweon ◽  
Jody Rosenblatt-Naderi ◽  
Christopher D. Ellis ◽  
Woo-Hwa Shin ◽  
Blair H. Danies
Keyword(s):  
Pedestrian Safety ◽  
Buffer Strips ◽  
Street Trees ◽  
Walking Behavior ◽  
Buffer Strip ◽  
Simulated Environment ◽  
Within Subjects ◽  
Walk To School ◽  
Walking Environment ◽  
Environment Experiment

We investigated the effects of pedestrian environments on parents’ walking behavior, their perception of pedestrian safety, and their willingness to let their children walk to school. This study was a simulated walking environment experiment that created six different pedestrian conditions using sidewalks, landscape buffers, and street trees. We used within subjects design where participants were exposed to all six simulated conditions. Participants were 26 parents with elementary school children. Sidewalks, buffer strips, and street trees affected parents’ decisions to: walk themselves; let their children walk to school; evaluate their perception whether the simulated environment was safe for walking. We found that the design of pedestrian environments does affect people’s perceptions of pedestrian safety and their willingness to walk. The presence of a sidewalk, buffer strip, and street trees affected parents’ decision to walk, their willingness to let their children walk to school and perceived the pedestrian environment as safer for walking. The effects of trees on parents’ walking and perception of pedestrian safety are greater when there is a wide buffer rather than a narrow buffer. It was found that parents are more cautious about their children’s walking environments and safety than their own.

Low temperature effects on the growth of evening primrose (Oenothera spp.) rosettes

2004 ◽  
Vol 52 (1) ◽  
pp. 19-28
Author(s):  
A. F. Fieldsend
Keyword(s):  
Growth Rate ◽  
Leaf Area ◽  
Relative Growth Rate ◽  
Relative Rate ◽  
Field Trials ◽  
Effect Of Temperature ◽  
Relative Growth ◽  
Evening Primrose ◽  
Intermittent Exposure ◽  
Environment Experiment

In field crops of evening primrose (Oenothera spp.) the post-winter growth of rosettes is slow to re-start. The effect of temperature on the growth of rosettes was assessed in a controlled environment experiment. Relative growth rate was positively correlated with temperature, but in apparent contrast to the results from field trials, the rosettes grew at constant temperatures as low as 6.5ºC. However, following transfer to warmer temperatures an increase in relative growth rate did not occur until 7-10 days later, whilst a change to a cooler environment caused an immediate reduction in relative growth rate. Thus, it seems likely that growth is inhibited by intermittent exposure to temperatures of 0°C or below. Partitioning of biomass between root and shoot was independent of temperature, but at 6.5ºC the relative rate of leaf area increase was very low. Consequently, the specific leaf area was lower in rosettes growing at lower temperatures.

scholarly journals A genotype-environment experiment on strawberries in scotland

Heredity ◽  
1975 ◽  
Vol 34 (1) ◽  
pp. 105-115 ◽  
Author(s):  
H J Gooding ◽  
D L Jennings ◽  
P B Topham
Keyword(s):  
Environment Experiment

scholarly journals A Geometric Calibration Method of Hydrophone Array Based on Maximum Likelihood Estimation with Sources in Near Field

2020 ◽  
Vol 8 (9) ◽  
pp. 678
Author(s):  
Nan Zou ◽  
Zhenqi Jia ◽  
Jin Fu ◽  
Jia Feng ◽  
Mengqi Liu
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Estimation ◽  
Signal To Noise Ratio ◽  
Near Field ◽  
Likelihood Estimation ◽  
Calibration Method ◽  
Optimization Method ◽  
High Signal ◽  
Geometric Calibration ◽  
Environment Experiment

Considering the requirement of the near-field calibration under strong underwater multipath condition, a high-precision geometric calibration method based on maximum likelihood estimation is proposed. It can be used as both auxiliary-calibration and self-calibration. According to the near-field geometry error model, the objective function of nonlinear optimization problem is constructed by using the unconditional maximum likelihood estimator. The influence of multipath on geometric calibration is studied. The strong reflections are considered as the coherent sources, and the compensation strategy for auxiliary-calibration is realized. The optimization method (differential evolution, DE) is used to solve the geometry errors and sources’ position. The method in this paper is compared with the eigenvector method. The simulation results show that the method in this paper is more accurate than the eigenvector method especially under high signal-to-noise ratio (SNR) and multipath environment. Experiment results further verify the effectiveness.

scholarly journals A Hybrid Path-Planning Strategy for Mobile Robots with Limited Sensor Capabilities

Sensors ◽  
2019 ◽  
Vol 19 (5) ◽  
pp. 1049 ◽  
Author(s):  
Guilherme de Oliveira ◽  
Kevin de Carvalho ◽  
Alexandre Brandão
Keyword(s):  
Path Planning ◽  
Avoidance Task ◽  
Planning Problem ◽  
Local Planning ◽  
Mapping Algorithm ◽  
Planning Strategy ◽  
Algorithm Efficiency ◽  
Cost Efficient ◽  
Environment Experiment ◽  
Path Planner

This paper introduces a strategy for the path planning problem for platforms with limited sensor and processing capabilities. The proposed algorithm does not require any prior information but assumes that a mapping algorithm is used. If enough information is available, a global path planner finds sub-optimal collision-free paths within the known map. For the real time obstacle avoidance task, a simple and cost-efficient local planner is used, making the algorithm a hybrid global and local planning solution. The strategy was tested in a real, cluttered environment experiment using the Pioneer P3-DX and the Xbox 360 kinect sensor, to validate and evaluate the algorithm efficiency.

scholarly journals Implementation of modified Q learning technique in EMCAP control architecture

2017 ◽  
Vol 7 (1.5) ◽  
pp. 269
Author(s):  
D. Ganesha ◽  
Vijayakumar Maragal Venkatamuni
Keyword(s):  
Learning Algorithm ◽  
Control Strategies ◽  
Cognitive Architecture ◽  
Dynamic Environment ◽  
Learning System ◽  
Selection Strategy ◽  
Q Learning ◽  
Learning Techniques ◽  
Markov Decision ◽  
Environment Experiment

This research introduces a self learning modified (Q-Learning) techniques in a EMCAP (Enhanced Mind Cognitive Architecture of pupils). Q-learning is a modelless reinforcement learning (RL) methodology technique. In Specific, Q-learning can be applied to establish an optimal action-selection strategy for any respective Markov decision process. In this research introduces the modified Q-learning in a EMCAP (Enhanced Mind Cognitive Architecture of pupils). EMCAP architecture [1] enables and presents various agent control strategies for static and dynamic environment.  Experiment are conducted to evaluate the performace for each agent individually. For result comparison among different agent, the same statistics were collected. This work considered varied kind of agents in different level of architecture for experiment analysis. The Fungus world testbed has been considered for experiment which is has been implemented using SwI-Prolog 5.4.6. The fixed obstructs tend to be more versatile, to make a location that is specific to Fungus world testbed environment. The various parameters are introduced in an environment to test a agent’s performance.his modified q learning algorithm can be more suitable in EMCAP architecture.  The experiments are conducted the modified Q-Learning system gets more rewards compare to existing Q-learning.

Effect of soil temperature, seeding depth and cultivar on wheat tolerance to simulated ethalfluralin carryover

1997 ◽  
Vol 77 (1) ◽  
pp. 181-188
Author(s):  
A. L. Darwent ◽  
L. P. Lefkovitch ◽  
P. F. Mills
Keyword(s):  
Soil Temperature ◽  
Plant Density ◽  
Dry Weight ◽  
Triticum Aestivum L ◽  
Controlled Environment ◽  
Minor Effect ◽  
Cultivar Selection ◽  
Soil Temperatures ◽  
Environment Experiment ◽  
A Minor

Field and controlled environment experiments were conducted at Beaverlodge, Alberta to determine the effect of soil temperature, seeding depth and cultivar on wheat (Triticum aestivum L.) tolerance to ethalfluralin. In one experiment, ethalfluralin was applied and incorporated, and wheat was seeded at several depths in late April/early May when soil temperatures were lowest or in late May when soil temperatures had increased. Mean 3-yr wheat yields decreased by 45% as the rate of ethalfluralin increased from 0 to 0.75 kg ha−1 and by 21% as the depth of seeding increased from 4 to 12.5 cm but the effect of ethalfluralin on yields was similar regardless of the soil temperature (time of seeding). Mean plant density decreased by 55% as the rate of ethalfluralin increased and by 25% as the depth of seeding increased. Reductions in mean plant density from ethalfluralin were slightly greater when seeded into the warmer soils. In another experiment, the effect of ethalfluralin on the yields of three wheat cultivars, Laura, Conway and Biggar was similar, i.e. the cultivar × rate of ethalfluralin interaction was not significant. However, the mean plant density of Biggar, averaged over rates of ethalfluralin, was less than that of the other cultivars in 1 of 2 yr. In a controlled environment experiment, the oven-dry weight and percent emergence of wheat shoots of the cultivars, Katepwa, Laura and Conway, seeded at 1.5 or 4 cm into soils containing ethalfluralin at concentrations of 0 to 4 ppm and maintained at temperatures of 4.5 or 15 °C, were reduced by decreases in temperature and increases in the rate of herbicide and depth of seeding. However, the interaction of soil temperature × rate of ethalfluralin was not significant for the oven-dry weight of the wheat shoots and the reduction in percent emergence of the wheat shoots as the rate of ethalfluralin increased was only slightly greater at 4.5 °C than at 15 °C. These results indicate that soil temperature and cultivar selection have a minor effect on wheat tolerance to ethalfluralin while herbicide concentration and depth of seeding have a major impact. Key words: Ethalfluralin, wheat, seeding depth, soil temperature, cultivar

Brief computer interventions enhance emergent academic skills in susceptible children: A gene-by-environment experiment

2016 ◽  
Vol 45 ◽  
pp. 1-8 ◽  
Author(s):  
Rachel D. Plak ◽  
Inge Merkelbach ◽  
Cornelia A.T. Kegel ◽  
Marinus H. van IJzendoorn ◽  
Adriana G. Bus
Keyword(s):  
Academic Skills ◽  
Environment Experiment
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