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2,015 results for “context”
TopicTracker keywords and MeSH terms resulting from the analysis of papers on autonomy, equity, privacy, proportionality and trust in the context of Covid-19
<p>This dataset contains normalized keywords and MeSH terms contained in articles retrieved with 5 separate querioes on Covid-19 and autonomy, equity, privacy, proportionality, trust.</p>
TopicTracker Medline files and query logs generated retrieving papers on autonomy, equity, privacy, proportionality and trust in the context of Covid-19
<p>To determine the core areas of discussion about the interplay between the Core Five and the Covid-19 pandemic, we ran a set of five queries in the TopicTracker. Each query collects articles regarding Covid-19 and one of the Core Five Enduring Values, published between January 2019 and March 2022.</p>
Ontogenic change in social context as a cue for behavioural switch in spiderlings
<p>Dataset for Mauduit & Jeanson (2022). Ontogenic change in social context as a cue for behavioural switch in spiderlings</p>
Supplementary material for Evolutionary mechanism of vernacular architecture in the context of urbanization
<p>This database is complementary material to the Evolutionary mechanism of vernacular architecture in the context of urbanization. Supplementary material 01 is the vector information of the study area, and Supplementary material 02 is the sample of villages used to calculate the F1 score and its prediction results.</p>
Open Access (OA) publication analysis of Tsinghua University in the context of Open Science - An example of Tsinghua University's publication on AGU in 2012-2022
<p>This dataset presents the publication of academic papers in American Geophysical Union (AGU)* Journals at Tsinghua University in 2012-2022, and conducts a statistical analysis of the publication of academic papers from the perspectives of the distribution of faculty sources, Open Access (OA) types, and repositories. The statistical analysis provides supports for the investigation of OA publishing behavior in the context of Open Science and the formulation of OA transformation policies.</p> <p> </p> <p>*Note: AGU is a non-profit organization composed of Earth, Atmospheric, Oceanic, Hydrologic, Space and Planetary scientists and enthusiasts. As a scholarly publisher, there are currently 14 subscription Journals and 12 OA Journals, and Science DB is included and certified by AGU as its recommended general repository.</p>
Comparison of behavioural tendencies between 'dangerous dogs' and other domestic dog breeds – evolutionary context and practical implications
<p>Aggressive behaviour by dogs is a considerable social problem, but the ability to predict which individuals may have increased aggressive tendencies is very limited, restricting the development of efficient preventive measures. There is a common perception that certain breeds are more likely to exhibit aggressive behaviour, which has contributed to the introduction of breed-specific legislation. The rationale for such legislation explicitly assumes high heritability of this trait while also implying relatively little variation within breeds; these assumptions are largely untested. We compared behavioural tendencies between 8 breeds that are subject to legislation in at least one country and 17 breeds that are not subject to legislation using two validated psychometric tools: the Dog Impulsivity Assessment Scale (DIAS), which scores elements of impulsivity, including a tendency for aggressive behaviour, and Positive and Negative Activation Scale (PANAS), which scores sensitivity to positive and negative stimuli (which may trigger aggressive responses). We found that the two groups of breeds do not differ significantly in the specific DIAS factor relating to aggressive behaviour, "Aggression Threshold and Response to Novelty", or any other DIAS and PANAS factors. We found large variation in all behavioural tendencies measured by both psychometric scales within both groups and within each breed studied. Taken together, our findings indicate that breed alone is not a reliable predictor of individual behavioural tendencies, including those related to aggression, and therefore breed-specific legislation is unlikely to be an effective instrument for reducing risk.</p>
Behavioral trajectories of aging prairie voles (Microtus ochrogaster): Adapting behavior to social context wanes with advanced age
<p>Several studies using mice have examined the effects of aging on cognitive tasks, as well as sensory and motor functions. However, few studies have examined the influence of aging on social behavior. Prairie voles (<em>Microtus ochrogaster</em>) are a socially monogamous and biparental rodent that live in small family groups and are now among the most popular rodent models for studies examining social behavior. Although the social behavioral trajectories of early-life development in prairie voles have been well-studied, how social behavior may change throughout adulthood remains unknown. Here we examined behavior in virgin male and female prairie voles in four different age groups: postnatal day (PND) 60–80, 140–160, 220–240, and 300–320. All animals underwent testing in a novel object task, a dominance test, a resident-intruder test, and several iterations of social approach and social interaction tests with varying types of social stimuli (i.e., novel same-sex conspecific, novel opposite-sex conspecific, familiar same-sex sibling/cagemate, small group of novel same-sex conspecifics). We found that age influenced neophobia and dominance, but not social approach behavior. Further, we found that young adult, but not older adult, prairie voles adapt prosocial and aggressive behavior relative to social context and that selective aggression occurs in relation to age even in the absence of a pair bond. Our results suggest that prairie voles calibrate social phenotype in a context-dependent manner in young adulthood and stop adjusting behavior to social context in advanced age, demonstrating that social behavior is plastic not only throughout early development but also well into adulthood. Together, this study provides insight into age-related changes in social behavior in prairie voles and shows that prairie voles may be a viable model for studying the cognitive and physiological benefits of social relationships and social engagement in advanced age.</p>
Figure 2 in Tracking the trends of karyotype differentiation in the phylogenetic context of Gint, a scorpion genus endemic to the Horn of Africa (Scorpiones: Buthidae)
Figure 2. Post-pachytene cells of Gint species after Giemsa staining (A, C, E, G, I, K, M, O) and FISH with 18S rDNA (red signals) (B, D, F, H, J, L, N, P). A, B, G. banfasae cytotype I (2 n = 18 – 7II + IV). C, D, G. banfasae cytotype II (2n= 18 – 6II + VI). E, F, G. banfasae cytotype III (2n = 19 – 5II + III + VI). G, H, G. dabakalo cytotype I (2n = 23 – 9II + V). I, J, G. dabakalo cytotype II (2n = 24 – 8II + III + V). K, L, G. dabakalo cytotype III (2n = 27 – 8II + 2III + V). M, N, G. gaitako (2n = 30 – 13II + IV). O, P, G. maidensis (2n = 34). Abbreviations: II, bivalent; III, trivalent; IV, quadrivalent; V, pentavalent; VI, hexavalent. Arrowheads indicate the position of 18S rDNA. Scale bar = 10 µm.
Figure 7 in Tracking the trends of karyotype differentiation in the phylogenetic context of Gint, a scorpion genus endemic to the Horn of Africa (Scorpiones: Buthidae)
Figure 7. Types of meiotic multivalent associations in Gint spp. with schemes of hypothesized intra- or interchromosomal rearrangements leading to observed multivalent formation.A,G. dabakalo – a trivalent arising from fission of the chromosome. B, G. dabakalo – a pentavalent originating from three independent fusion events. C, G. gaitako – a quadrivalent resulting from reciprocal translocation. D, G. banfasae – a quadrivalent as a result of reciprocal translocation. E, G. banfasae – a hexavalent arising through two independent events: (1) a fission of chromosome 1 involved in quadrivalent; (2) subsequent fusion of an emerging chromosome fragment with another chromosome. F, G. amoudensis – a quadrivalent arising from the reciprocal translocation. G, G. amoudensis – a hexavalent originated from the reciprocal translocation of the chromosome involved in the quadrivalent and another chromosome.
Figure 6 in Tracking the trends of karyotype differentiation in the phylogenetic context of Gint, a scorpion genus endemic to the Horn of Africa (Scorpiones: Buthidae)
Figure 6. Ancestral state reconstruction analyses based on the Bayesian tree from this study, depicting: A, number of chromosomes; B, position of 18S rDNA. Results of maximum parsimony analysis reconstructing ancestral states for both cytogenetic characters are visualized by colours of the circles. Arrowheads indicate hypothetical inversion on 18S rDNAbearing chromosomes.
Figure 5 in Tracking the trends of karyotype differentiation in the phylogenetic context of Gint, a scorpion genus endemic to the Horn of Africa (Scorpiones: Buthidae)
Figure 5. Bayesian tree of the Gint species based on the concatenated data set (16S and COI), complemented with summarized cytogenetic data of the species studied. Numbers above branches correspond to values for highly supported nodes as follows: Bayesian posterior probabilities (PP)> 0.95/maximum likelihood bootstrap> 70%. Specimen IDs depicted in bold indicate individuals based on chromosome counts determined for the corresponding Gint species in previous studies (see: Kovařík et al., 2013; Kovařík & Mazuch, 2015; Kovařík et al., 2018). Abbreviations: cyt, cytotype; 2n, diploid number of chromosomes; II, bivalent; III, trivalent; IV, quadrivalent; V, pentavalent; VI, hexavalent.
Figure 3 in Tracking the trends of karyotype differentiation in the phylogenetic context of Gint, a scorpion genus endemic to the Horn of Africa (Scorpiones: Buthidae)
Figure 3. Post-pachytene cells of Gint amoudensis and G. gubanensis after Giemsa staining (A, C, E, G, I) and FISH with 18S rDNA (red signals) (B, D, F, H, J). A, B, G. amoudensis cytotype I (2n = 36 – 16II + IV). C, D, G. amoudensis cytotype II (2n = 35 – 14II + III + IV). E, F, G. amoudensis cytotype III (2n = 36 – 15II + VI). G, H, G. amoudensis cytotype IV (2n = 35 – 13II + III + VI). I, J, G. gubanensis (2n = 45 – 21II + III). Abbreviations: II, bivalent; III, trivalent; IV, quadrivalent; VI, hexavalent. Arrowheads indicate the position of 18S rDNA. Scale bar = 10 µm.
Figure 4 in Tracking the trends of karyotype differentiation in the phylogenetic context of Gint, a scorpion genus endemic to the Horn of Africa (Scorpiones: Buthidae)
Figure 4. Post-pachytene cells of Gint species after FISH with (TTAGG)n telomeric probe (red signal). A, G. banfasae cytotype III (2n = 19 – 5II + III + VI). B, G. dabakalo cytotype II (2n = 24 – 8II + III + V). C, G. gaitako (2n = 30 – 13II + IV). D, G. maidensis (2n = 34 – 17II). E, G. amoudensis cytotype IV (2n = 35 – 13II + III + VI). F, G. gubanensis (2n = 45 – 21II + III). Abbreviations: II, bivalent; III, trivalent; IV, quadrivalent; V, pentavalent; VI, hexavalent. Scale bar = 10 µm.
KENFIN-EDURA: Explaining non-communicable disease-related behaviour in the context of urbanization, family and wealth
<p><span>Background </span></p> <p><span>The prevalence of non-communicable diseases is increasing in lower-middle-income countries as these countries transition to unhealthy lifestyles. The transition is mostly predominant in urban areas. We assessed the association between wealth and obesity in two sub-counties </span><span>in Nairobi City County, Kenya, in the context of family and poverty.</span></p> <p><span>Results </span></p> <p><span>A total of 149 households, response rate of 93%, participated, 72 from Embakasi and 77 from Langata. Most of the participants residing in Embakasi belonged to the lower income and education groups whereas participants residing in Langata belonged to the higher income and education groups. </span><span>About 30% of the pre-adolescent participants in Langata were with at least overweight, whereas the respective number in Embakasi was only 6% (p<0.001). In contrast, the prevalence of adults (mostly mothers) with overweight and obesity was high (65%) and similar in the two study areas. Wealth</span> <span>(</span><span>b</span><span> = 0.01; SE 0.0; p=0.003) and income (</span><span>b</span><span> = 0.29; SE 0.11; p=0.009) predicted higher BMI z-score in pre-adolescents. </span></p> <p><span>Conclusions</span></p> <p><span>In Nairobi, pre-adolescent overweight was already highly prevalent in the middle-income area, while the proportion of women with overweight/obesity was high also in the low-income area. These results suggest that a lifestyle promoting obesity is prevalent even in lower income areas in urban Kenya, and this is a strong justification for promoting healthy lifestyles across all socio-economic classes.</span></p>
WebMicroscope's Deep Learning AI platform automates image analyses with an approach that is faster and able to understand tissue context, which reduces steps needed for accurate results. Researchers can gain access to digitized samples, such as this image of breast-cancer tissue (left), and analyze results through the cloud platform anywhere, anytime. This is a whole slide image of a tissue section of an adrenal gland (right). Fimmic's WebMicroscope cloud platform allows researchers to manage, share, and view digital gigapixel images with any modern browser. Researchers can rapidly pan, zoom, and analyze a digital sample. Photographs: Courtesy of Fimmic Oy. in Deep learning brings speed, accuracy to the life sciences.
WebMicroscope's Deep Learning AI platform automates image analyses with an approach that is faster and able to understand tissue context, which reduces steps needed for accurate results. Researchers can gain access to digitized samples, such as this image of breast-cancer tissue (left), and analyze results through the cloud platform anywhere, anytime. This is a whole slide image of a tissue section of an adrenal gland (right). Fimmic's WebMicroscope cloud platform allows researchers to manage, share, and view digital gigapixel images with any modern browser. Researchers can rapidly pan, zoom, and analyze a digital sample. Photographs: Courtesy of Fimmic Oy.
Supplemental Material for Context Switch Sensitive Fault Localization
Open the record for dataset details and reuse information.
Dataset for the paper "CoMAF: Context and Mobility-Aware Forwarding Model For V-NDN"
Open the record for dataset details and reuse information.
The Impact of Nomophobia: Exploring the Interplay between Loneliness, Smartphone Usage, Self-Control, Emotion Regulation, and Spiritual Meaningfulness in an Indonesian Context
<p><span>Previous research on nomophobia has been </span><span>conducted mainly</span><span> through an exploratory approach. </span><span>Few</span><span> studies have tested the theoretical model of nomophobia through a confirmatory analysis approach. Thus, this research contributes to filling the existing gap by testing </span><span>a</span><span> theoretical model of nomophobia.</span></p> <p><span>This cross-sectional </span><span>study</span><span> was conducted in Yogyakarta, Palembang, and Jambi, Indonesia. We used purposive sampling to recruit 689 students from various levels in those three cities to participate in this study. </span><span>Specifically</span><span>, the participants </span><span>consisted</span><span> of junior high school students (n= 245, 35.5%), high school students (n= 235, 34.2%), and students (n= 209, 30.3%). Among them, 380 (55.2%) were women, and 309 (44.8%) were men.</span></p> <p><span>Our findings </span><span>revealed</span><span> that emotional regulation, spiritual meaningfulness, and self-control </span><span>had</span><span> significant indirect </span><span>effects</span><span> on nomophobia. Furthermore, the intensity of smartphone use is an important mediator in this fit model.</span></p> <p><span>SEM analyses</span><span> of self-control, emotion regulation, and spiritual meaningfulness about loneliness and smartphone use as mediators </span><span>of</span><span> nomophobia </span><span>have</span><span> not been </span><span>performed</span><span>, particularly in the context of Indonesia. Previous studies have primarily treated loneliness and smartphone use as independent variables directly linked to nomophobia. Therefore, this research aims to fill this knowledge gap by investigating the mediated model of nomophobia, contributing valuable insights to the field.</span></p>
Annexes from the paper A Hybrid Methodology for the Facility Re-Layout Problem (FRLP) of Food Production Systems in Industry 5.0 Context
<p>In the attached dataset we present all the data collected and obtained in the case study of our model to improve the redistribution of food production plants. The importance of the attached data lies in the fact that they consist of real data collected in a small snack production plant located in the northern part of Ecuador, and were used to validate the methodology proposed in the article entitled: "A Hybrid Methodology for the Facility Re-Layout Problem (FRLP) of Food Production Systems in Industry 5.0 Context", which is currently in the publication stage.</p>
Data and Code for "Detecting context-dependence in the expression of life history tradeoffs"
<p>This repository hosts the data, R scripts, and Stan models needed to reproduce results and figures from the article <em>Detecting context-dependence in the expression of life history tradeoffs.</em></p> <p>See the README file for a description of the different files contained in this repository.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.