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172 results for “Control strategies”
Dataset: Co-composting rose waste as a sustainable waste management strategy: Nutrient availability and disease control
<p>This dataset and these scripts supports the article 'Assessing the potential of co-composting rose waste as a sustainable waste management strategy: Nutrient availability and disease control' as published in Journal of Cleaner production. https://doi.org/10.1016/j.jclepro.2023.136685</p> <p>Roses are an important crop for the floricultural sector of Kenya and roses are a perennial crop and under continuous production for six to ten years. The cultivation produces large quantities of green waste, up to 50 kg per hectare per day. In this experiment we investigated the potential of co-composting rose waste on a small scale. The objective was to increase the understanding of composting lignocellulosic rose waste, which will help with the implementation of composting practices within Kenyan rose production and thereby reduce its negative ecological impact.</p> <p>In a small-scale composting system (30L) the evolution of five mixtures was closely monitored in terms of their physico-chemical parameters. Furthermore, the in-vitro disease suppressive capacity of mature rose waste was assessed. </p>
Data accompanying the manuscript "Protocol Discovery for the Quantum Control of Majoranas by Differentiable Programming and Natural Evolution Strategies"
<p>Dataset for figures 2, A6 and A8 for the manuscript: "Protocol Discovery for the Quantum Control of Majoranas by Differentiable Programming and Natural Evolution Strategies." The dataset contains the optimal protocols for Majorana transport in both the Kitaev Chain model as well as the Proximity Coupled Semiconduncting Nanowire model obtained with Differentiable Programming and Natural Evolution Strategies. Also the Simulated Annealing (SA) optimal protocols for the Kitaev chain are included.</p>
Proactive Control Strategies for Overt and Covert Go/NoGo Tasks: an Electrical Neuroimaging Study
<p>ERPs dataset (15 subjects) for session A and session B preparatory phase (from 200 ms before cue onset to 1000 ms after cue onset).</p> <p>GSN Hydrocel Sensor Net 110 channels array is included.</p>
Figure 2 in Modeling the sustainability and economics of stacked herbicide-tolerant traits and early weed management strategy for waterhemp (Amoronthus tuberculotus) control
Figure 2. Sustainability of the programs with stacked HT traits or residual herbicides, as influenced by application time (PRE and POST) and number of herbicide SOAs on (A) weed density and (B) resistance evolution. Resistance evolution is presented as % individuals that are resistant to at least one of the herbicides excluding H, either in the form of single or multiple resistance.The populations consist of 80% individuals resistant to H initially. Herbicide scenarios are detailed in Table 2. The simulations were set to stop when weed density exceeded 1 plant m−2, hence the incomplete lines of scenario EWM(i).
Figure 1 in Modeling the sustainability and economics of stacked herbicide-tolerant traits and early weed management strategy for waterhemp (Amoronthus tuberculotus) control
Figure 1. Sustainability of the POST-only programs,as influenced by the number of herbicide SOAs and the initial level of quantitative resistance to herbicide H. Cross-resistance between herbicides H and X is included in D–F. Results are presented as the year of weed control failure; bars represent the mean, and error bars represent the range of 100 replicates. Herbicide scenarios are detailed in Table 2. r-HX, correlation coefficient between phenotypic values of H and X.
Figure 6 in Indiscriminate ingestion of entomopathogenic nematodes and their symbiotic bacteria by Aedes aegypti larvae: a novel strategy to control the vector of Chikungunya, dengue and yellow fever
Figure 6. Aedes aegypti larval mortality when exposed to 1000 infective juveniles (IJs) of Heterorhabditis bacteriophora at different depths of water.
Figure 2 in Indiscriminate ingestion of entomopathogenic nematodes and their symbiotic bacteria by Aedes aegypti larvae: a novel strategy to control the vector of Chikungunya, dengue and yellow fever
Figure 2. Susceptibility of Aedes aegypti larvae to different species of EPN. Five 3rd instar larvae exposed to 1000 infective juveniles (IJs) and mortality assessed daily over 3-day period (DPI).
Figure 4 in Indiscriminate ingestion of entomopathogenic nematodes and their symbiotic bacteria by Aedes aegypti larvae: a novel strategy to control the vector of Chikungunya, dengue and yellow fever
Figure 4. Melanization of Heterorhabditis bacteriophora within Aedes aegypti larvae (3rd instar). A melanized H. bacteriophora within dead Ae. aegypti larvae (a), close up picture of melanized nematode upon larval dissection (b), nematodes representing different stages of melanization recovered from one dead Ae. aegypti larvae (c). Arrows indicate melanized nematode within Ae. aegypti larvae.
Figure 7 in Indiscriminate ingestion of entomopathogenic nematodes and their symbiotic bacteria by Aedes aegypti larvae: a novel strategy to control the vector of Chikungunya, dengue and yellow fever
Figure 7. Aedes aegypti larval mortality when exposed to supernatants and cell suspensions of Xenorhabdus nematophila (X. n.) and Photorhabdus laumondii (P. l.) in 24 well plates. Different uppercase or lower letters above error bars indicate statistical significance (Tukey's test p ≤ 0.05).
Figure 3 in Indiscriminate ingestion of entomopathogenic nematodes and their symbiotic bacteria by Aedes aegypti larvae: a novel strategy to control the vector of Chikungunya, dengue and yellow fever
Figure 3. Different stages of Heterorhabditis bacteriophora colonization of Aedes aegypti larvae (3rd instar). H. bacteriophora within larvae at 2-day post inoculation (a), H. bacteriophora emerging out of larvae upon larval dissection at 7-day post inoculation) (b), adult H. bacteriophora within larvae along with large number of infective juveniles (IJs) released from another adult H. bacteriophora (c). Black arrows indicate adult H. bacteriophora, whereas green arrows indicate newly emerged IJs.
Strategies to control humidity sensitivity of azobenzene isomerisation kinetics in polymer thin films
<p>This is the full dataset for the manuscript "Strategies to control humidity sensitivity of azobenzene isomerisation kinetics in polymer thin films", submitted to the journal "Communications Materials".</p> <p>All the results presented in the manuscript is based on the data included in this dataset. All the raw data and analysed data is included, excluding final figures in the manuscript, which were composed from the data within.</p> <p>The data includes multiple experiments with different methods and materials. The data is sorted from the top down all the way down to single experiments. The dataset includes "README.txt" files that provide additional information relevant at each level, for example for raw data they provide information on the experimental settings and for analysed data the provide analysis methods used.</p>
Evaluation of different deployment strategies for larviciding to control malaria – a simulation study
<p>Simulation datasets for: "<strong>Evaluation of different deployment strategies for larviciding to control malaria – a simulation study</strong>".</p> <p>The folders include a description folder with relevant input files for simulations in OpenMalaria and the processedExpResults includes the Rdataframes, generated from the raw simulation outputs, used for analysis.</p> <p> </p>
Enhancing two-dimensional control via single-channel haptic feedback: A multi-dimensional encoding strategy
Open the record for dataset details and reuse information.
Data from: Shade tolerance controls the spectrum of crown sizes and its response to local competition across European and North American tree species: Implications for light interception strategies
Open the record for dataset details and reuse information.
Control strategies and electric drive design of induction and synchronous reluctance motors for e-mobility
<p>Second webinar of ReFreeDrive's webinar series. This webinar presents the control algorithms developed for both technologies, as well as the electric drive design (power electronics).</p>
Present status, future trends, and control strategies of invasive alien plants in China affected by human activities and climate change
<p>Invasive alien plants (IAPs) have serious environmental and economic impacts, especially in vulnerable areas of China. However, IAP richness distribution patterns, their driving factors, and the dynamic shifts in potential distribution areas remain elusive. We assessed IAP richness distribution patterns and drivers using 402 IAPs recorded in China at 88,926 occurrence points, and then predicted their potential distribution areas. The results show that IAP hotspots were mainly located in southeastern China, especially coastal areas of the South and East and large inland cities. Population density, gross domestic product (GDP), and four climate variables associated with precipitation and temperature jointly influenced the richness distribution pattern of all IAPs. Specifically, population density and GDP impacted the richness distribution pattern of narrow-range IAPs, and population density, GDP, distance to the nearest national highway, and five climate variables affected the richness distribution pattern of widespread IAPs. Only GDP contributed significantly to the richness distribution pattern of the top 5% hotspot grid cells, whereas population density, GDP, and precipitation in the driest month (BIO14) significantly influenced the richness distribution patterns of hotspots for both the top 10% and top 20%. Prediction analysis demonstrated that southeastern China would have a particularly high invasion risk under both current and future climate scenarios. Regions with increases in predicted species richness are more common (44.83%–64.97%) than those with decreases, except under the Representative Concentration Pathway (RCP) 4.5 scenario. Climate change will contribute greatly to the expansion of potential IAP distribution areas under both optimistic (RCP 2.5) and pessimistic scenarios (RCP 8.5). The results of this study provide insights into the priority management of IAPs through developing promising strategies for the control and prevention of IAP invasion.</p>
Data from: Comparing the efficacy of control strategies for infectious disease outbreaks using field and simulation studies
<p>Diseases characterized by long distance inoculum dispersal (LDD) are among the fastest spreading epidemics in both natural and managed landscapes. Management of such epidemics is extremely challenging because of asymptomatic infection extending at large spatial scales and frequent escape from the newly established disease sources. We compared the efficacy of area- and timing-based disease management strategies in artificially initiated field epidemics of wheat stripe rust and complemented with simulations from an updated version of the spatially explicit model EPIMUL, using model parameters relevant to field epidemics. The model was further used to expand the number of epidemic mitigations beyond that feasible to incorporate in the field. The field experiment was conducted for two years in two locations having different climatic conditions. Culling and protection treatments were applied at different times after epidemic initiation and to different spatial extents surrounding the outbreaks. In each experiment, treatments were replicated four times in plots 33.5 m long and 1.52 m wide with a 0.76 x 0.76 m inoculated focus centered within each plot. Disease gradients were assessed along the center lines of the plots at 1.52 m intervals both upwind and downwind from the focus. Both field and simulation results indicated that control measures applied over the entire population were highly effective in suppressing the epidemics by more than 99% but may not always be logistically and economically feasible at large spatial scales. Comparison between the variable sized treatment areas and application timings suggested that implementing contiguous premises (CP) cull at 1 day after first sporulation in the outbreak focus reduced rust by 52 and 60% in Corvallis and Madras, respectively. However, altering the cull size did not significantly affect the disease epidemic development, which suggested that early timing had a greater influence in suppressing the epidemics than did increased area of application. However, sufficiently large, treated areas may compensate for a delay in application timing to some extent. Results from these replicated treatments may help to devise appropriate management strategies for other LDD pathogens. </p>
Data: Survey of Implemented Mitigation Strategies and Further Needs of the United States Food Industry to Control COVID-19 in the Work Environment in Early 2021
<p>Data set related with the COVID-19 needs assessment study</p>
Importance of non-consumptive effects of Nabis americoferus in biological control strategies including trap crops against the Tarnished plant bug, Lygus lineolaris
<p>Dataset on<span> polyphagous tarnished plant bug (TPB), <em>Lygus lineolaris </em>(Palisot de Beauvois) (Hemiptera: Miridae) </span><span> host preferences and reproductive behaviors under various integrated pest management approaches. </span></p>
A Proportional Control Strategy for Stiffness Tuning of Parallel Manipulators
<p>MBDyn models for the paper "A Proportional Control Strategy for Stiffness Tuning of Parallel Manipulators"</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.