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25 results for “Architecture Patterns”
Data from: The genetic architecture of dewlap pattern in Hispaniola Anoles (Anolis distichus)
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Data from paper: Semi-automatic Feedback for Improving Architecture Conformance to Microservice Patterns and Practices
<p>All the data of the study <strong><em>Semi-automatic Feedback for Improving Architecture Conformance to Microservice Patterns and Practices. The file contains all the scripts and models of this study</em></strong></p>
Architectural effects regulate resource allocation within the inflorescences with nonlinear blooming patterns
<p>These data were generated to investigate the resource allocation pattern within the inflorescence of <em>Salvia przewalskii</em>, a perennial herb with 4-ouvle ovary flowers and flowering sequence-floral position decoupled inflorescences. Spatial and temporal resource allocations within inflorescences have been well-studied in many plants based on flowering sequence or floral position. However, there have been few attempts to investigate architectural effects and resource competition in species where the blooming pattern does not follow a linear positional pattern within the inflorescence. Moreover, most flowering plants show female-biased sex allocation in early or basal flowers, but it is unclear in species with inherent and changeless ovule production. The data demonstrated that pollen production and dry mass deceased from bottom to top flowers but didn't significantly differ following flowering sequence, resulting in male-biased sex allocation in basal flowers. The seed production, fruit set, bud developmental exhibited significant declining trends from proximal to distal positions regardless of the thinning and pollen treatments. Meanwhile, the seed production, fruit set, bud developmental success did not significant difference when thinning conducted according to flowering sequence. Thus, architectural effects plays a crucial role in resource allocation within decoupled flowering inflorescences. Moreover, the inherent floral traits, such as changeless ovule production, may modify architectural effects on sex allocation. </p>
When the Dragons Defeat the Knight: Basilisk an Architectural Pattern for Platform and Language Independent Development
<p>Experimental dataset and the scripts needed to run the experiment described in the paper:</p> <p><strong> When the Dragons Defeat the Knight</strong>: <br> Basilisk an Architectural Pattern for Platform and Language Independent Development<br><em> Francesco Bertolotti, Walter Cazzola, Dario Ostuni</em> and <em>Carlo Castoldi</em></p> <p>Published in Journal of Systems and Software, 215, September 2024. Elsevier.</p>
Architectural effects regulate resource allocation within the inflorescences with nonlinear blooming patterns
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Genomic architecture of a genetically assimilated seasonal color pattern
<p><span><span>Developmental plasticity allows genomes to encode multiple distinct phenotypes that can be differentially manifested in response to environmental cues. Alternative plastic phenotypes can be selected through a process called genetic assimilation; although the mechanisms are still poorly understood. We assimilated a seasonal wing color phenotype in a naturally plastic population of butterflies, and characterized three responsible genes. Combined with endocrine assays, and chromatin accessibility and conformation analyses, we found that the transition of wing coloration from an environmentally determined trait to a predominantly genetic trait occurred through selection for regulatory alleles of downstream wing patterning genes. This mode of genetic evolution is likely favored by selection because it allows tissue- and trait-specific tuning of reaction norms without affecting core cue detection or transduction mechanisms.</span></span></p>
Data from: Effects of tree architecture on pollen dispersal and mating patterns in Abies pinsapo Boiss. (Pinaceae)
Plant architecture is crucial to pollination and mating in wind pollinated species. We investigate the effect of crown architecture on pollen dispersal, mating system and offspring quality, combining phenotypic and genotypic analyses in a low-density population of the endangered species Abies pinsapo. A total of 598 embryos from three relative crown height levels (bottom, middle, top) in five mother plants were genotyped using eleven nuclear microsatellite markers (nSSRs). Paternity analysis and mating system models were used to infer mating and pollen dispersal parameters. In addition, seeds were weighed (N = 16,110) and germinated (N = 736), and seedling vigour was measured to assess inbreeding depression. Overall, A. pinsapo shows a fat-tailed dispersal kernel, with an average pollen dispersal distance of 113–227 m, an immigration rate of 0.84–26.92%, and a number of effective pollen donors ranging between 3.5 and 11.9. We found an effect of tree height and relative crown height levels on mating parameters. A higher proportion of seeds with embryo (about 50%) and a higher rate of self-fertilization (about 60%) were found at the bottom level in comparison to the top level. Seed weight and seedling vigour are positively related. Nevertheless, no differences were found in seed weight or in seedling-related variables such as weight and length of aerial and subterranean parts among the different relative crown height levels, suggesting that seeds from the more strongly inbred bottom level are not affected by inbreeding depression. The different relative crown height levels also present a similar effective pollen dispersal distance and number of effective pollen donors, indicating vertical isotropy for outcross pollen. Our results thus suggest that self-pollen may compensate for the shortage of outcross pollen in low density populations.
Data from: The genetic architecture of UV floral patterning in sunflower
Background and Aims: The patterning of floral ultraviolet (UV) pigmentation varies both intra- and interspecifically in sunflowers and many other plant species, impacts pollinator attraction, and can be critical to reproductive success and crop yields. However, the genetic basis for variation in UV patterning is largely unknown. This study examines the genetic architecture for proportional and absolute size of the UV bullseye in Helianthus argophyllus, a close relative of the domesticated sunflower. Methods: A camera modified to capture UV light (320–380 nm) was used to phenotype floral UV patterning in an F2 mapping population, then quantitative trait loci (QTL) were identified using genotyping-by-sequencing and linkage mapping. The ability of these QTL to predict the UV patterning of natural population individuals was also assessed. Key Results: Proportional UV pigmentation is additively controlled by six moderate effect QTL that are predictive of this phenotype in natural populations. In contrast, UV bullseye size is controlled by a single large effect QTL that also controls flowerhead size and co-localizes with a major flowering time QTL in Helianthus. Conclusions: The co-localization of the UV bullseye size QTL, flowerhead size QTL and a previously known flowering time QTL may indicate a single highly pleiotropic locus or several closely linked loci, which could inhibit UV bullseye size from responding to selection without change in correlated characters. The genetic architecture of proportional UV pigmentation is relatively simple and different from that of UV bullseye size, and so should be able to respond to natural or artificial selection independently.
Data from: Genetic architecture and genomic patterns of gene flow between hybridizing species of Picea
Hybrid zones provide an opportunity to study the effects of selection and gene flow in natural settings. We employed nuclear microsatellites (single sequence repeat (SSR)) and candidate gene single-nucleotide polymorphism markers (SNPs) to characterize the genetic architecture and patterns of interspecific gene flow in the Picea glauca × P. engelmannii hybrid zone across a broad latitudinal (40–60 degrees) and elevational (350–3500 m) range in western North America. Our results revealed a wide and complex hybrid zone with broad ancestry levels and low interspecific heterozygosity, shaped by asymmetric advanced-generation introgression, and low reproductive barriers between parental species. The clinal variation based on geographic variables, lack of concordance in clines among loci and the width of the hybrid zone points towards the maintenance of species integrity through environmental selection. Congruency between geographic and genomic clines suggests that loci with narrow clines are under strong selection, favoring either one parental species (directional selection) or their hybrids (overdominance) as a result of strong associations with climatic variables such as precipitation as snow and mean annual temperature. Cline movement due to past demographic events (evidenced by allelic richness and heterozygosity shifts from the average cline center) may explain the asymmetry in introgression and predominance of P. engelmannii found in this study. These results provide insights into the genetic architecture and fine-scale patterns of admixture, and identify loci that may be involved in reproductive barriers between the species.
Data for: Increasing the Throughput of Pipe-and-Filter Architectures by Integrating the Task Farm Parallelization Pattern
<p>Data for the research paper "Increasing the Throughput of Pipe-and-Filter Architectures by Integrating the Task Farm Parallelization Pattern" in Proceedings of the CBSE, 2016</p>
ToPoRg-18k: dataset of single-chain radii of gyration distribution for 18,450 architecturally diverse and chemically patterned coarse-grained polymers
<blockquote> <p>Revision: This revision includes four independent trajectory values of the ensemble averages of the mean squared radii of gyration and their standard deviations, which can be used to compute statistical measures such as the standard error.</p> </blockquote> <p>This distribution provides access to 18,450 configurations of coarse-grained polymers. The data is provided as a serialized object using the `pickle' Python module and in csv format. The data was compiled using Python version 3.8. </p> <p><strong>References<br></strong>The specific applications and analyses of the data are described in <br>1. Jiang, S.; Webb, M.A. "Physics-Guided Neural Networks for Transferable Prediction of Polymer Properties"</p> <p><strong>Data<br></strong>There are seven .pickle files that contain serialized Python objects.</p> <ul> <li><strong>pattern_graph_data_*_*_rg_new.pickle</strong>: squared radii of gyration distribution from MD simulation. The number indicates the molecular weight range.</li> <li><strong>rg2_baseline_*_new.pickle</strong>: squared radii of gyration distribution from Gaussian chain theoretical prediction.</li> <li><strong>delta_data_v0314.pickle</strong>: torch_geometric training data.</li> </ul> <p><strong>Usage</strong><br>To access the data in the .pickle file, users can execute the following:</p> <blockquote> <p># LOAD SIMULATION DATA<br>DATA_DIR = "your/custom/dir/"<br>mw = 40 # or 90, 190 MWs</p> <p>filename = os.path.join(DATA_DIR, f"pattern_graph_data_{mw}_{mw+20}_rg_new.pickle")<br>with open(filename, "rb") as handle:<br> graph = pickle.load(handle)<br> label = pickle.load(handle)<br> desc = pickle.load(handle)<br> meta = pickle.load(handle)<br> mode = pickle.load(handle)<br> rg2_mean = pickle.load(handle)<br> rg2_std = pickle.load(handle) ** 0.5 # var</p> <p># combine asymmetric and symmetric star polymers<br>label[label == 'stara'] = 'star'<br># combine bottlebrush and other comb polymers<br>label[label == 'bottlebrush'] = 'comb' </p> <p># LOAD GAUSSIAN CHAIN THEORETICAL DATA<br>with open(os.path.join(DATA_DIR, f"rg2_baseline_{mw}_new.pickle"), "rb") as handle:<br> rg2_mean_theo = pickle.load(handle)[:, 0]<br> rg2_std_theo = pickle.load(handle)[:, 0]</p> </blockquote> <ul> <li><strong>graph</strong>: NetworkX graph representations of polymers.</li> <li><strong>label</strong>: Architectural classes of polymers (e.g., linear, cyclic, star, branch, comb, dendrimer).</li> <li><strong>desc</strong>: Topological descriptors (optional).</li> <li><strong>meta</strong>: Identifiers for unique architectures (optional).</li> <li><strong>mode</strong>: Identifiers for unique chemical patterns (optional).</li> <li><strong>rg2_mean</strong>: Mean squared radii of gyration from simulations.</li> <li><strong>rg2_std</strong>: Corresponding standard deviation from simulations.</li> <li><strong>rg2_mean_theo</strong>: Mean squared radii of gyration from theoretical models.</li> <li><strong>rg2_std_theo</strong>: Corresponding standard deviation from theoretical models.</li> </ul> <p><strong>Help, Suggestions, Corrections?</strong><br>If you need help, have suggestions, identify issues, or have corrections, please send your comments to Shengli Jiang at sj0161@princeton.edu</p> <p><strong>GitHub</strong><br>Additional data and code relevant for this study is additionally accessible at <a href="https://github.com/webbtheosim/gcgnn">https://github.com/webbtheosim/gcgnn</a> </p>
Supplemental Material: Effects of Environmental Sustainability Enhancing Architectural Patterns and Tactics on different Quality Attributes
<p>These are the additional resources to the thesis with the same title.</p> <p>Context: Environmental sustainability is increasingly vital amid global challenges,<br>as IT presents both solutions and threats to the environment. Integrating environ-<br>mental sustainability into software engineering practices is essential, necessitating a<br>comprehensive understanding of environmental sustainability design decisions and<br>how they impact sustainability and other quality attributes within software architec-<br>tures.<br>Objectives: This research aims to address two primary objectives: firstly, to elicit environ-<br>mental sustainability scenarios and patterns and tactics from domain experts, and secondly,<br>to assess the tradeoffs of these design decisions in the context of a case study. Through qual-<br>itative insights garnered from a workshop and quantitative analysis via experiments, this<br>study seeks to offer nuanced insights into these tradeoffs.<br>Methodology: Utilizing a case study approach in collaboration with an industrial partner,<br>this work employs a combination of qualitative and quantitative analysis methods.<br>Qualitative insights are gathered through an Architecture Tradeoff Analysis Method<br>(ATAM) workshop with industrial partners, aimed at eliciting environmental sustainability<br>scenarios, design decisions, and their tradeoffs. Afterward, quantitative experiments<br>are conducted based on the workshop results using the Goal-Question-Metric (GQM)<br>approach, to measure the impact of environmental sustainability design decisions on<br>specific quality attributes in a mock implementation based on the industrial partner’s<br>system.<br>Results: We were able to capture eight environmental sustainability scenarios and<br>patterns and tactics and tradeoffs for five of them during the workshop. In the ex-<br>periments we implemented two tactics, expecting them to negatively impact the per-<br>formance. The experimentation provided empirical data, revealing nuanced insights,<br>sometimes contradicting initial hypotheses, highlighting the importance of empirical<br>validation.<br>Conclusion: This study underscores the complexity of balancing environmental sustain-<br>ability with other quality attributes in software design. It emphasizes the complementary<br>role of qualitative and quantitative analysis in understanding tradeoffs and making informed<br>decisions. By integrating insights from both approaches, this research contributes to ad-<br>vancing discussions on sustainability in software engineering, benefiting both researchers<br>and practitioners. Continued collaboration between academia and industry is crucial for<br>furthering sustainable software engineering practices.</p> <p> </p>
Automated Pattern-Based Recommendation for Improving API Operation Performance and Reliability in Cloud-Based Architectures
<p>The extensive use of APIs as the entry point to many Cloud-based applications has created challenging problems, especially concerning API quality properties such as performance and reliability. API best practices and patterns, such as bundling requests, rate limiting, or load balancing, have been proposed to solve these challenges. Unfortunately, no study investigating the impact of existing API practices and patterns on such quality properties exists beyond informal recommendations. In this paper, we fill this gap by proposing a pattern-based, automated recommendation approach to improve the performance and reliability of API operations. We provide a benchmark suite based on a realistic open-source microservice application to enable the automatic generation of comprehensive decision tree models. These models are then processed to generate API design recommendation algorithms to improve API operations regarding performance and reliability stored in catalogs for reuse. We validate our algorithms using extensive data sets generated by running the benchmark on a private cloud and AWS. For both environments, based on the decision tree models automatically generated from the measured data, API design recommendation algorithms have been calculated using our approach.</p>
Data from: Genetic architecture and genomic patterns of gene flow between hybridizing species of Picea
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Data from: River network architecture, genetic effective size and distributional patterns predict differences in genetic structure across species in a dryland stream fish community
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Data from: Effects of tree architecture on pollen dispersal and mating patterns in Abies pinsapo Boiss. (Pinaceae)
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Data from: The genetic architecture of UV floral patterning in sunflower
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Genomic architecture of a genetically assimilated seasonal color pattern
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Data from: Genomic architecture of adaptive color pattern divergence and convergence in Heliconius butterflies
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Data from: Genetic architecture, biochemical underpinnings, and ecological impact of floral UV patterning
Floral attraction traits can significantly affect pollinator visitation patterns, but adaptive evolution of these traits may be constrained by correlations with other traits. In some cases, molecular pathways contributing to floral attraction are well-characterized, offering the opportunity to explore loci potentially underlying variation among individuals. Here, we quantify the range of variation in floral UV patterning (i.e., UV "bulls-eye" nectar guides) among crop and wild accessions of Brassica rapa. We then use experimental crosses to examine the genetic architecture, candidate loci, and biochemical underpinnings of this patterning as well as phenotypic manipulations to test the ecological impact. We find qualitative variation in UV patterning between wild (commonly lacking UV patterns) and crop (commonly exhibiting UV patterns) accessions. Similar to the majority of crops, recombinant inbred lines (RILs) derived from an oilseed crop × WI fast-plant® cross exhibit UV patterns, the size of which varies extensively among genotypes. In RILs, we further observe strong statistical-genetic and QTL correlations within petal morphological traits and within measurements of petal UV-patterning; however, correlations between morphology and UV-patterning are weak or non-significant, suggesting that UV patterning is regulated and may evolve independently of overall petal size. HPLC analyses reveal a high concentration of sinapoyl glucose in UV-absorbing petal regions, which, in concert with physical locations of UV-trait QTLs, suggest a regulatory and structural gene as candidates underlying observed quantitative variation. Finally, insects prefer flowers with UV bulls-eye patterns over those that lack patterns, validating the importance of UV-patterning in pollen-limited populations of B. rapa.
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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.