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145 results for “typing behavior”
Data from: Free-ranging bats alter thermoregulatory behavior in response to reproductive stage, roost type, and weather
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Data from: Trait-mediated functional responses: predator behavioral type mediates prey consumption
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Evaluating the role of body size and habitat type in movement behavior in human-dominated systems: A frog’s eye view
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Data from: The behavioral type of a top predator drives the short-term dynamic of intraguild predation
Variation in behavior among individual top predators (i.e., the behavioral type) can strongly shape pest suppression in intraguild predation (IGP). However, the effect of a top predator's behavioral type—namely, foraging aggressiveness (number of killed divided by prey time) and prey choosiness (preference degree for certain prey type)—on the dynamic of IGP may interact with the relative abundances of top predator, mesopredator, and pest. We investigated the influence of the top predator's behavioral type on the dynamic of IGP in a three-species system with a top predator spider, a mesopredator spider, and a psyllid pest using a simulation model. The model parameters were estimated from laboratory experiments and field observations. The top predator's behavioral type altered the food-web dynamics in a context-dependent manner. The system with an aggressive/nonchoosy top predator, without prey preferences between pest and mesopredator, suppressed the pest more when the top predator to mesopredator abundance ratio was high. In contrast, the system with a timid/choosy top predator that preferred the pest to the mesopredator was more effective when the ratio was low. Our results show that the behavioral types and abundances of interacting species need to be considered together when studying food-web dynamics, because they evidently interact. To improve biocontrol efficiency of predators, research on the alteration of their behavioral types is needed.
The data set to paper: Hydrolytic instability of laser-ablatively deposited CaSi2 coatings in air and neutral water affects the behavior of bone healing-related cell types
<p>Main message of this study is focused on calcium silicide (CaSi<sub>2</sub>) instability in humid air or pH-neutral water remains unknown, although the topochemical formation of silicene from CaSi<sub>2</sub> in various aqueous phases is a well-known process. The reseach reports on laser ablation of CaSi<sub>2</sub> in the vacuum and ethanol and examine the instability of the deposited coatings in humid air and neutral water. We further investigate the behavior of human mesenchymal stromal cells (hMSCs), vascular cells (HUVECS, human umbilical vein endothelial cells), and macrophages (derived from THP-1 cell line) in contact with the deposited coatings submerged in cell culture medium. </p>
The role of behavioral type composition on resource use and growth of a juvenile predator
<p>Juvenile largemouth bass have distinct behavioral types that separate along the exploring behavioral axis and differ in diet. We used a mesoxosm experiement to test the hypothesis that groups composed of mixed behavioral types would have more efficient use of prey resources and reduced competition between individuals than experimental populations composed of similar behavioral types. Fish growth, diets and prey composition were quantified over a four-week period in mesocosms containing prey communities that were mixtures of zooplanktion and natural colonization by terrestrial insects. Mesocosms contained juvenile largemouth bass of either all fast exploratory-type, all slow exploratory-type or a 50/50 mix of the two behavioral types. Treatments with similar behavioral types had lower growth than treatments with mixed behavioral types. While evidence showed that slow explorers in homogeneous groups consumed fewer macroinvertebrates outside of refuge habitat, the same was not true of fast explorers. Results suggest that populations composed of different compositions of behavioral types may also differ in their food web interactions. The differences in growth suggest that individual performance can be higher in populations with a balanced mixture of behavioral types compared to more homogenous populations and adds to the growing knowledge that individual behavioral traits can have emergent population level effects.</p>
Data from: Life-history strategy and behavioral type: risk-tolerance reflects growth rate and energy allocation in ant colonies
Despite the recent interest in animal personality and behavioral syndromes, there is a paucity of explanations for why distinct behavioral traits should evolve to correlate. We investigate whether such correlations across apparently distinct behavioral traits may be explained by variation in life history strategy among individual ant colonies. Life history theory predicts that the way in which individuals allocate energy towards somatic maintenance or reproduction drives several distinct traits in physiology, morphology, and energy use; it also predicts that an individual's willingness to engage in risky behaviors should depend on reproductive strategy. We use Temnothorax ants, which have been shown to exhibit 'personalities' and a syndrome that may reflect risk tolerance at the colony level. We measure colonies' relative investment in growth rate (new workers produced) compared to reproductive effort (males and queens produced). Comparing sterile worker production to reproductive alate production provides a direct measure of how colonies are investing their energy, analogous to investment in growth versus reproduction in a unitary organism. Consistently with this idea, we found that behavioral type of ant colonies was associated with their life history strategy: risk-tolerant colonies grew faster and invested more in reproduction, whereas risk-averse colonies had lower growth rate but invested relatively more in workers. This provides evidence that behavioral syndromes can be a consequence of life-history strategy variation, linking the two fields and supporting the use of an integrative approach.
Digital coaching strategies to facilitate behavioral change in type 2 diabetes: a systematic review
<p><strong>Context:</strong> In this systematic review, we focus on the clinical impact of digital tools for providing health coaching, education, and facilitating behavior in patients with prediabetes or type 2 diabetes. Our approach was designed to provide insights for clinicians and health care systems that are considering adopting such digital tools. This dataset provides summary information related to the systematic review. </p> <p><strong>Evidence Acquisition:</strong> We searched the CINAHL, Scopus, and Ovid/MEDLINE databases using PRISMA guidelines for studies that reported digital coaching strategies for management and prevention of type 2 diabetes published from January 2014 to June 2019. Articles were reviewed by 2 independent blinded reviewers. Twenty-one articles met inclusion criteria.</p> <p><strong>Evidence Synthesis:</strong> We found that 20 of 21 studies in our analysis showed statistically significant improvements in at least one measure of diabetes control including HbA1c, weight loss, fasting blood glucose, and BMI. Studies that reported weight loss percentage from baseline at 1 year reported values ranging from −3.04% to −8.98%, similar to outcomes with traditional coaching in the Diabetes Prevention Program (N = 4). Additionally, all studies that included a comparison group of in-person or telephone-based coaching showed statistically better or similar outcomes in the digital coaching group (N = 5).</p> <p><strong>Conclusions</strong>: The evidence reported in this systematic review suggests that digital health coaching offers a promising strategy for long-term management and prevention of type 2 diabetes in diverse populations with similar benefits to in-person or telephone-based health coaching. We argue that, with the potential to treat large numbers of individuals in diverse geographic locations, digital coaching offers a promising solution to the rapid increase in diabetes prevalence.</p>
Nonalcoholic fatty liver disease, sleep behaviors, and incident type 2 diabetes
<p><span>Objectives: Nonalcoholic fatty liver disease (NAFLD) is associated with incident type 2 diabetes; however, the extent to which NAFLD may confer its risk remains uncertain, especially in Europeans. Emerging evidence suggests that sleep behaviors are linked to NAFLD and diabetes. We aimed to measure whether sleep behaviors modified the association between NAFLD and incident type 2 diabetes.</span></p> <p><span>Methods: This prospective cohort study included 362,834 participants without type 2 diabetes at baseline in UK Biobank data. Five sleep behaviors, including sleep duration, insomnia, snoring, chronotype, and daytime sleepiness, were collected from the questionnaire. Liver steatosis was based on the fatty liver index.</span></p> <p><span>Results: During a median follow-up of 10.9 years, we documented 7,394 patients with incident type 2 diabetes. NAFLD was significantly associated with increased diabetes risk. Sleeping 7-8 h/day, no insomnia, no self-reported snoring and no frequent daytime sleepiness were independently associated with incident type 2 diabetes, with a 19%, 19%, 13%, and 29% lower risk, respectively. 33.8% and 33.5% of type 2 diabetes events in this cohort could be attributed to NAFLD and poor sleep pattern, respectively. We further found significant interaction between NAFLD and sleep duration and insomnia (<i>P</i> for interaction = 0.027 and 0.025, respectively). Compared those with NAFLD and abnormal sleep duration (≤6 h or ≥9 h) or insomnia, participants with non-NAFLD and normal sleep duration or non-insomnia had 57% (RR 0.43, 95% CI 0.40, 0.47) or 55% (RR 0.45, 95% CI 0.41, 0.50) lower risk of incident diabetes. These associations were independent of age, sex, ethnicity, education, family history, economic status, lifestyles, hemoglobin A1c, systolic blood pressure, total cholesterol, and associated medications.</span></p> <p><span>Conclusion: Both NAFLD and some sleep behaviors were risk factors for type 2 diabetes. Insomnia and sleep duration modified the association between NAFLD and type 2 diabetes.</span></p>
Behavioral Approaches to Reduce Diabetes Distress in Adults With Type 1 Diabetes: A Pragmatic SMART
ClinicalTrials.gov study NCT06405373. IPD Sharing: YES. Countries: 1. Publications: 0.
Continuous Glucose Monitoring and Behavioral Change Intervention for People With Type 2 Diabetes and Diabetes Distress
ClinicalTrials.gov study NCT05941000. IPD Sharing: YES. Countries: 1. Publications: 0.
Brief Culturally Adapted Behavioral Activation Therapy for Adults With Depression in Rural Indonesian Primary Care: A Type-2 Hybrid Effectiveness-Implementation Trial
ClinicalTrials.gov study NCT07373080. IPD Sharing: YES. Countries: 1. Publications: 0.
EMPoWER Study - Strengths-based Behavioral Intervention for Youth With Type 1 Diabetes
ClinicalTrials.gov study NCT06014879. IPD Sharing: NO. Countries: 1. Publications: 0.
Pilot of Pragmatic Delivery of Behavioral Approaches to Reduce Diabetes Distress in Adults With Type 1 Diabetes
ClinicalTrials.gov study NCT06405386. IPD Sharing: YES. Countries: 1. Publications: 0.
The Effect of a Web-Based Education Program on Eating Habits, Metabolic Control, and Self-Management in Adolescents With Type 1 Diabetes Mellitus and Their Mothers With Irregular Eating Behavior
ClinicalTrials.gov study NCT07355660. IPD Sharing: UNDECIDED. Countries: 0. Publications: 5.
A Psychological-behavioral Intervention to Increase Activity in Type 2 Diabetes
ClinicalTrials.gov study NCT03164538. IPD Sharing: NO. Countries: 1. Publications: 0.
Antecedents of the Type A Behavior Pattern
ClinicalTrials.gov study NCT00005328. IPD Sharing: Not stated. Countries: 0. Publications: 44.
Cognitive Behavioral Therapy for Adherence in Patients With Type 2 Diabetes
ClinicalTrials.gov study NCT04214600. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Cognitive Behavioral Intervention to Reduce Fear of Hypoglycemia in Young Adults With Type 1 Diabetes
ClinicalTrials.gov study NCT03165786. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Data from: Life-history strategy and behavioral type: risk-tolerance reflects growth rate and energy allocation in ant colonies
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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.