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22 results for “cooperative behavior”
Autonomous tracking of honeybee behaviors over long-term periods with cooperating robots
<h1>Dataset and code description</h1> <p>This repository contains the codes and data for theScience Robotics paper <strong>Autonomous tracking of honeybee behaviors over long-term periods with cooperating robots</strong>.</p> <p>The codes are in <strong>rr_scirob_analyses</strong> and the datasets are in <strong>rr_scirob_data</strong>.<strong> </strong>If you want to rerun the data processing as presented in the paper, you need both <strong>rr_scirob_analyses</strong> and <strong>rr_scirob_data. </strong>You can copy the contents of <strong>rr_scirob_data </strong>into <strong>rr_scirob_analyses, </strong>as they have the same folder structure. Alternatively, you can run the <strong>download </strong>scripts to obtain the partial datasets relevant for certain subfigures. The file <strong>rr_scirob_data_readmes</strong> contains more detailed README files (rosbag info). You can copy its contents to <strong>rr_scirob_analyses </strong>after copying the contents of the <strong>rr_scirob_data</strong>.</p> <p>The individual datasets are organised into seven folders.</p> <h2>Three Figures with Key Behavioural Metrics </h2> <p>Three of the folders correspond to the Key Behavioural Measures, which are presented in three figures in the paper. These are:</p> <ul> <li>Figure-2-KBM-1-Queen Queen - related Key Behavioural Metrics</li> <li>Figure-3-KBM-2-Workers Worker Bee - related Key Behavioural Metrics</li> <li>Figure-4-KBM-3-Comb Comb and Brood -related Key Behavioural Metrics </li> </ul> <p>Each of these <em>Figure-X</em> folders contains the relevant figure from the paper and four subfolders corresponding to the panels of that figure. These are <strong>macro</strong>, <strong>micro</strong>, <strong>mezo</strong>, <strong>social</strong>, related to the four panels of that figure.<br>Each of these subfolders contains a README file, describing how to process the data and providing further details. <br>Furthermore, there are three additional folders located in each of the 'panel' folder:</p> <ul> <li><strong>data</strong>: this is used to store the data necessary to generate the graphs. You can either populate it with the data from Zenodo, i.e., https://zenodo.org/records/13801588 Alternatively, you can use the `download.sh` script wich will download and extract the necessary data from the RoboRoyale project cloud.</li> <li><strong>tmp</strong>: This folder is used to store intermediate results of the processing scripts</li> <li><strong> output</strong>: This folder is used to store all the generated outputs of the individual scripts. These should be identical with the panels of the figure in the paper. These figures are also provided in the relevant folders.</li> </ul> <p>Running the scripts contained in the micro, mezo, macro and social folders generates images and graphs in the output subfolders. These should be identical to the ones in the panels of Figures 2-4 in the paper.</p> <h2>One Resting Analysis Figure</h2> <p>One folder corresponds to the queen resting analysis figure</p> <ul> <li>Figure-5-Resting : Queen resting time analysis</li> </ul> <p>This folder has three subfolders named <strong>data</strong>, <strong>tmp</strong> and <strong>output</strong> similar to the previous folders. Again, running the scripts will generate the figures and/or run the statistical tests as in the previous case.</p> <h2>Three Performance Assessments: Queen Tracking, Workerbee Localisation and Oviposition Detection</h2> <p>Three other folders are related to performance analysis of the core methods required to calculate the KBMs.</p> <ul> <li>KBM-1-performance evaluation: Provides datasets and scripts to assess the performance of the queen marker detector</li> <li>KBM-2-performance evaluation: Provides datasets and scripts to assess the performance of the worker bee detector</li> <li>KBM-3-performance evaluation: Provides datasets and scripts to assess the performance of the oviposition detector </li> </ul> <p>Each of these folders contains a README file explaining what to run in order to evaluate the performance of the method and to replicate the paper's results.</p> <h2>Additional materials and data</h2> <p>The core data used here is the month-long queen tracking information, consisting of 28 million entries in a file <strong>2023-month-queenpos-short.txt.</strong> <br>A description of the file structure is provided in the README of the relevant KBM folder.</p> <p>Additional data are available in the dataset section of https://roboroyale.eu.</p> <h2>Rosbags</h2> <p>The work is based on the Robot Operating System (ROS) and thus, the raw data come in the form of rosbags. We provide a few of the rosbags to allow checking examples of video and other raw data as reported by the system:</p> <ul> <li>2023-10-25-08-42-20-Queen-Feeding.bag - queen feeding (KBM-1 Social)</li> <li>KPI1_2_mezo-queen_walk_sample.bag - queen walk as drawn in (KBM-1 Mezo)</li> <li>2023-10-10-00-04-10-trophylaxis.bag - worker bee trophylaxis (KBM-2 Social)</li> <li>2023-09-19-09-00-20-egg-removal.bag - worker bee removing egg (KBM-2 Social)</li> </ul> <h2>Licence </h2> <p>This data and code are under the Creative Commons Attribution-ShareAlike 4.0 International license. If you use these data in your work, please <strong>cite</strong> the relevant paper, i.e., Ulrich, Stefanec, Rekabi-bana et al.: <strong>Autonomous tracking of honeybee behaviors over long-term periods with cooperating robots</strong>. Science Robotics, 2024.</p> <p> </p>
Supplementary Data: A peer-to-peer market mechanism incorporating multi-energy coupling and cooperative behaviors
<p>This dataset is the supplementary dataset for the case study used in the journal article (<a href="https://doi-org.tudelft.idm.oclc.org/10.1016/j.apenergy.2022.118572">https://doi.org/10.1016/j.apenergy.2022.118572</a>):</p> <p>A peer-to-peer market mechanism incorporating multi-energy coupling and cooperative behaviors</p> <p> </p> <p>Before using the dataset, please</p> <p>1. refer to the article for the details of the data used in the case study,</p> <p>2. read README.txt for the structure of the dataset.</p> <p> </p> <p>Please also kindly cite the journal article when using the dataset.</p>
Data from: Recombination as an enforcement mechanism of prosocial behavior in cooperating bacteria
<p>Prosocial behavior is ubiquitous despite the relative fitness costs carried by cooperative individuals. However, the stability of cooperation in populations is fragile, and often maintained through enforcement. We propose that homologous recombination provides such a mechanism in bacteria. Using an agent-based model of recombination in a population of bacteria playing a public goods game, we demonstrate how changes in recombination rate affect the proportion of cooperating cells. In our model, recombination converts cells to a different strategy, either freeloading (cheaters) or cooperation, based on the strategies of neighboring cells and the recombination rate. Increasing the recombination rate expands the parameter space in which cooperators dominate freeloaders. However, increasing the recombination rate alone is neither sufficient nor necessary. Intermediate benefits of cooperation, lower population viscosity, and higher population size can promote cooperation in a population of cheater strains. Our findings demonstrate how recombination influences the persistence of cooperative behavior in bacteria. </p>
Data from: Recombination as an enforcement mechanism of prosocial behavior in cooperating bacteria
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Computer Based Treatment for Cognitive Behavioral Therapy and Cooperative Pain Education and Self-Management
ClinicalTrials.gov study NCT05204576. IPD Sharing: NO. Countries: 1. Publications: 1.
Reduced cooperative courtship behavior as a cost of high testosterone in a lekking passerine bird
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Data from: Multiple benefits drive helping behavior in a cooperatively breeding bird: an integrated analysis
Several hypotheses exist to explain the seemingly altruistic helping behavior of cooperative breeders, although the general utility of these hypotheses remains unclear. While the potential importance of inclusive fitness benefits (kin selection) is traditionally widely appreciated, it is increasingly recognized that direct benefits may be more important than assumed. We use an integrative two-step framework to assess support for current hypotheses in purple-crowned fairy-wrens, a species where subordinates vary in relatedness to breeders and helping increases productivity. After establishing that assumptions of pay-to-stay and social prestige hypotheses (predicting that helping functions as 'paying rent' to stay on the territory or as a signal of individual quality, respectively) were not met, and that parentage by subordinates is extremely rare, we tested whether subordinates adjusted nestling feeding rates following the predictions of the kin selection and group augmentation hypotheses. Benefits of kin selection result from investment in relatives, and group augmentation benefits accrue when subordinates invest more in their own future helpers, for example when they have a better chance of inheriting the breeding position. We found that subordinates fed siblings more than unrelated nestlings, indicating that kin selection could facilitate cooperation. Moreover, the effect of relatedness on feeding effort varied depending on the probability of inheriting a breeding position, suggesting that active group augmentation can explain investment by unrelated subordinates. This statistical interaction would have gone undetected had we not considered both factors simultaneously, illustrating that a focus on single hypotheses could lead to underestimation of their importance in explaining cooperative breeding.
Examining the mediating role of damage control and cooperation on the relationship between self-image and behavioral impulsivity in online social media among adolescents
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A Study on the Promotion of Cooperative Behavior in Local Communities through Recalling Place Memory
<p>Items for "Emotional Valence" = q4 and q8</p> <p>Items for "Place Attachment" = q11, q12, q13, q14, q15 and q16</p> <p>Items for "Willingness to follow local garbage disposal rules" = q22 and q23</p> <p>Items for "Perceived self-interest in following local garbage disposal rules" = q24 and q25</p> <p>Items for "Willingness to participate in local pro-environmental events" = q17, q19 and q20</p> <p>Items for "Perceived self-interest in local pro-environmental events" = q18 and q21</p>
Data from: Multiple benefits drive helping behavior in a cooperatively breeding bird: an integrated analysis
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Data from: Female mate fidelity in a lek mating system and its implications for the evolution of cooperative lekking behavior
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Supplementary materials for: Female‐female aggression in a cooperatively breeding bird during the non‐breeding period: The behavioral strategy to maintain long‐term partnerships
<p>Social monogamy evolves in association with biparental care. However, males who tend to pursue multiple mating are expected to place less value on established partnerships, whereas females do the opposite to ensure males'participation in rearing offspring. Accordingly, selection is expected to favor paired females to behave aggressively towards females that approach their social mates. For species with long-term partnerships, female-female aggression commonly observed during the breeding period should also occur in the non-breeding period. We look at whether these expectations are held up by conducting a field experiment in Tibetan ground tits Pseudopodoces humilis, a cooperatively breeding bird that has lifetime monogamy and forms new pair bonds in winter. Paired but not unpaired females were more aggressive towards the same-sex than towards opposite-sex intruders experimentally introduced into the winter group territory, an indication that paired females may be protecting partnerships. Both paired and unpaired males, on the other hand, displayed aggression almost equally against intruders of both sexes, indicating a likely function in territory defense. Our work provides the first evidence for the female's role in maintaining long-term monogamy during the non-breeding period in birds, and contributes to the recent progress regarding intrasexual competition between females as a component of sexual selection.</p>
Data from: Alarm calls of a cooperative bird are referential and elicit context-specific antipredator behavior
Although functionally referential signals have been extensively studied, largely in mammals (e.g., nonhuman primates, see Cheney and Seyfarth (1988); mongooses, see Manser et al. (2002); and other ground-dwelling species, see Blumstein and Armitage (1997), other social taxa such as birds would similarly benefit from the use of referential signals. We therefore investigated alarm calling in the cooperative noisy miner (Manorina melanocephala), a species that has been anecdotally recorded producing aerial alarms to flying predators and empirically recorded generating terrestrial alarms to ground-based threats. For these signals to be truly referential however, they must meet 3 criteria. First, calls must be structurally distinct, a requirement that these 2 call types meet. Second, calls must be stimulus-specific and reliably associated with a given stimulus. We tested this on free-living birds by exposing them to a simulated aerial predator that was either in flight or subsequently perched and thus presented one of the first studies on functionally referential alarm systems where both aerial and terrestrial alarm calls have been tested. Miners only produced aerial alarms while the stimulus was in flight, switching to terrestrial alarms once it landed. Third, referential signals must elicit different escape responses that are "appropriate" to the associated threat. Under field conditions, aerial alarm playback alone provoked an almost instantaneous response of fleeing to vegetation cover, whereas terrestrial alarm playback elicited significantly slower responses by receivers and an increase in scanning behavior. During laboratory experiments, aerial alarms stimulated birds to spend more time looking upwards, whereas terrestrial alarm calls stimulated individuals to scan perpendicularly, as expected if these stimuli provided information on likely predator location. Although other avian taxa have been shown to use referential alarm signals, this system provides novel evidence of referential calls based on the behavior rather than the type of predator, providing a highly adaptive means of communicating risk to other members of the social group in this cooperative species.
Examining the Mediating Role of Damage Control and Cooperation on the Relationship between Self-image and Behavioral Impulsivity in Online Social Media among Adolescents
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Data from: Alarm calls of a cooperative bird are referential and elicit context-specific antipredator behavior
Open the record for dataset details and reuse information.
Supplementary materials for: Female‐female aggression in a cooperatively breeding bird during the non‐breeding period: The behavioral strategy to maintain long‐term partnerships
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Effect of Intranasal Vasopressin on Cooperative Behavior in Schizophrenia
ClinicalTrials.gov study NCT04190004. IPD Sharing: NO. Countries: 1. Publications: 0.
PDGFRβ signaling cooperates with β-catenin to modulate c-Abl and biologic behavior of desmoid-type fibromatosis [microarray]
GEO Series GSE237692. Homo sapiens. 85 samples. Type: Expression profiling by array.
PDGFRβ signaling cooperates with β-catenin to modulate c-Abl and biologic behavior of desmoid-type fibromatosis [RNA-seq I]
GEO Series GSE239406. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
PDGFRβ signaling cooperates with β-catenin to modulate c-Abl and biologic behavior of desmoid-type fibromatosis [RNA-seq II]
GEO Series GSE239407. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
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OpenNeuro
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