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148 results for “Limit analysis”
Data from the parametric analysis of multi-ring masonry arches using a limit analysis approach for the span of 7m
<p>The dataset is produced by running a series of 360 simulations using the in-house code ALMA (<em>Analisi Limite Murature Attritive</em>) that implements the upper bound approach of limit analysis to detect the collapse multiplier and mechanism for masonry structures. This set of data contains the results of 120 simulations achieved for the multi-ring masonry arches for span of 7m with different level of parameters considered, namely size of blocks, span of the arch, ring number, interlocking coefficient and the friction angle. In order to simplify references to figures an acronym system is used and it follows a sequence of "<em>size_span_ring_interlock_friction</em>". Size takes attributes as <strong>S</strong>-small and <strong>B</strong>-big while span takes number attributes based on the span like <strong>S3</strong>, <strong>S5</strong>, <strong>S7</strong> for spans of <strong>3</strong>, <strong>5</strong> and <strong>7</strong> meters, respectively. Ring number similarly is based on the number of rings as <strong>R2</strong>, <strong>R3</strong>, <strong>R4</strong> and <strong>R5</strong> and interlock takes the following attributes, I<strong>00</strong>, <strong>I15</strong>, <strong>I35</strong> and <strong>I50</strong> for the interlocking percentage considered such that <strong>00</strong>-stacked, <strong>15%</strong>, <strong>35%</strong> and <strong>50%</strong>, respectively. Finally friction takes attributes following the angle of friction such as <strong>F25</strong>—low level, <strong>F30</strong>—medium level, and <strong>F35</strong>—high level. The acronym used for the equivalent one-ring arches is used as simply <strong>EQ</strong>. For example, the acronym “<em><strong>S_S7_R4_I35_F30</strong></em>" refers to the arch with small blocks, span of 7 meters, consisting of 4 rings and by blocks interlocked at 35% with a joint friction of 30<sup>o</sup>.</p> <p>This database contains a <strong>*.txt</strong>, a <strong>*.vtk</strong> and a <strong>*.png</strong> file. In the .txt file the elapsed time and the collapse multiplier of each simulation can be found. The .vtk file contains all the geometry and displacement values of every masonry panel. Finally, the .png file presents the collapse mechanism obtained. </p>
Data from the parametric analysis of multi-ring masonry arches using a limit analysis approach for the span of 5m
<p>The dataset is produced by running a series of 360 simulations using the in-house code ALMA (<em>Analisi Limite Murature Attritive</em>) that implements the upper bound approach of limit analysis to detect the collapse multiplier and mechanism for masonry structures. This set of data contains the results of 120 simulations achieved for the multi-ring masonry arches for span of 5m with different level of parameters considered, namely size of blocks, span of the arch, ring number, interlocking coefficient and the friction angle. In order to simplify references to figures an acronym system is used and it follows a sequence of "<em>size_span_ring_interlock_friction</em>". Size takes attributes as <strong>S</strong>-small and <strong>B</strong>-big while span takes number attributes based on the span like <strong>S3</strong>, <strong>S5</strong>, <strong>S7</strong> for spans of <strong>3</strong>, <strong>5</strong> and <strong>7</strong> meters, respectively. Ring number similarly is based on the number of rings as <strong>R2</strong>, <strong>R3</strong>, <strong>R4</strong> and <strong>R5</strong> and interlock takes the following attributes, I<strong>00</strong>, <strong>I15</strong>, <strong>I35</strong> and <strong>I50</strong> for the interlocking percentage considered such that <strong>00</strong>-stacked, <strong>15%</strong>, <strong>35%</strong> and <strong>50%</strong>, respectively. Finally friction takes attributes following the angle of friction such as <strong>F25</strong>—low level, <strong>F30</strong>—medium level, and <strong>F35</strong>—high level. The acronym used for the equivalent one-ring arches is used as simply <strong>EQ</strong>. For example, the acronym “<em><strong>S_S7_R4_I35_F30</strong></em>" refers to the arch with small blocks, span of 7 meters, consisting of 4 rings and by blocks interlocked at 35% with a joint friction of 30<sup>o</sup>.</p> <p>This database contains a <strong>*.txt</strong>, a <strong>*.vtk</strong> and a <strong>*.png</strong> file. In the .txt file the elapsed time and the collapse multiplier of each simulation can be found. The .vtk file contains all the geometry and displacement values of every masonry panel. Finally, the .png file presents the collapse mechanism obtained. </p>
Limited sex differences in plastic responses suggest evolutionary conservatism of thermal reaction norms: A meta-analysis in insects
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Elemental and biochemical nutrient limitation of zooplankton: A meta-analysis
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Analysis of Nonlinear Effects in Peak Limiting Current Mode Controlled Converters
<p>This compressed file contains simulation programs, simulation results, figures that depict the results, as well as the animations that illustrate nonlinear effects in peak limiting current mode controlled converters. The simulations are performed using Python 2 programming language using pylab environment (numpy, scipy, matplotlib, ipython) under Ubuntu 18.04 operating system.</p>
Plant invasion has limited impact on soil microbial alpha-diversity : a meta-analysis
<p>Plant invasion has proved to be a significant driver of ecosystem change, and with increased probability of invasion due to globalization, agricultural practices and other anthropogenic causes, it is crucial to understand its impact across multiple trophic levels. With the strong linkages between above and belowground processes, the response of soil microorganisms to plant invasion is the next logical step in developing our conceptual understanding of this complex system. In our study, we utilized a meta-analytical approach to better understand the impacts of plant invasion on soil microbial diversity. We synthesized 70 independent studies with 23 unique invaders across multiple ecosystem types to search for generalizable trends in soil microbial a-diversity following invasion. When possible, soil nutrient metrics were also collected in an attempt to understand the contribution of nutrient status shifts on microbial a-diversity. Our results show plant invasion to have highly heterogenous and limited impacts on microbial a-diversity. When taken together, our study indicates soil microbial a-diversity to remain constant following invasion, contrary to the aboveground counter parts. As our results suggest a decoupling in patterns of below and aboveground diversity, future work is needed to examine the drivers of microbial diversity patterns following invasion.</p>
Effects of nutrient limitation on the synthesis of N-Rich phytoplankton toxins: a meta-analysis
<p class="MDPI17abstract">Eutrophication has played a major role in the worldwide increase of harmful algal blooms (HABs). Higher input of key nutrients, such as nitrogen (N) and phosphorus (P), can stimulate the growth of harmful algal species in freshwater, estuarine, and coastal marine ecosystems. Some HAB-forming taxa, particularly several cyanobacteria and dinoflagellate species, are harmful through the production of N-rich toxins that have detrimental effects on the environment and human health. Here, we test how changes in nutrient availability affect N-rich toxin synthesis in cyanobacteria and dinoflagellates using a meta-analysis approach. Overall, N-rich toxin content showed an increase with P limitation, while it tended to decrease with N limitation, but we also observed substantial variation in responses both within and across genera and toxin groups. For instance, in response to N limitation, microcystin content varied from a 297% decrease up to a 273% increase, and paralytic shellfish poisoning (PSP) toxin content varied from a 204% decrease to an 82% increase. Cylindrospermopsin, produced by N<sub>2</sub>-fixing cyanobacteria, showed no clear direction in response to nutrient limitation, and cellular contents of this compound may thus vary independently of nutrient fluctuations. Our results confirm earlier reported stoichiometric regulation of N-rich phytoplankton toxins, showing increased toxin content with an increase in cellular N:P ratios, and vice versa. Thus, changes in N-rich toxin content largely follow the changes in relative cellular N content. Consequently, although nutrient limitation may limit bloom biomass and thereby bloom toxicity, our results warn that P limitation can cause accumulation of cellular toxins and thus lead to unexpected increases in bloom toxicity.</p>
Phosphorus Limitation Directly and Indirectly Constrains Tree Photosynthesis and Productivity: Evidence from a Global Meta-Analysis
<p>These dataset contains the source data and the correposnding code for the paper explained above.</p>
Social selection analysis reveals limited effect of neighbors' traits in Tree swallows
<p>Social interactions are ubiquitous in nature and can shape fitness of individuals through social selection. This type of selection arises when phenotypes of neighbors influence the fitness of a focal individual. Quantifying social selection is crucial to better characterise the overall selective landscape. For example, if intraspecific competition is strong, traits that are beneficial for an individual could be detrimental for competitors. In this study, we quantified social selection acting on four key ecological traits (body mass, wing length, laying date and clutch size) in wild Tree swallow (<em>Tachycineta bicolor)</em> females. We used reproductive success measured at three stages throughout the breeding season as fitness proxies to assess selection acting at those decisive moments. We also quantified the effects of environment on selection using measures of conspecifics' density, type of agricultural landscape and presence of interspecific competitors. Overall, we found no strong evidence of social selection on these traits in our study system, although there were marginally non-significant selection gradients suggesting positive effect of larger neighbors. Environmental variables affected reproductive success but did not affect social selection gradients. Our study calls for more social selection estimates to be reported across environments to better understand its importance in wild populations.</p>
The application of a mode of double preconcentration and double stripping steps in combination with a flow system to decrease the detection limit and increase the selectivity of determinations in stripping analysis of As(III)
<p><span>Due to the fact that arsenic </span><span>has very harmful and toxic effects on living organisms </span><span>monitoring of its content in various environmental samples </span><span>at trace level concentrations</span><span> </span><span>is desirable and highly recommended. Such advantages as low cost and portable instrumentation, achieving low detection limits and most of all the possibility of the direct determination of As(III) with no separation step make stripping voltammetry suitable for the determination of arsenic.</span><span> </span><span> <br></span></p> <p><span>These data concer the application of double deposition and double stripping steps mode in combination with a flow system for anodic stripping voltammetric determination of As(III) ions. An advantage of the proposed way of the voltammetric measurements is a decrease of the detection limit as compared to the values obtained using a traditional three-electrode system thanks to an initial preconcentration of the analyte on the first working electrode as well as the significant increase in a selectivity of As(III) determination thanks to the possibility of solution exchange after the first deposition step.</span></p> <p><span><span>The proposed way of the voltammetric measurements leads to the following analytical advantages: (i) a decrease of the detection limit as compared to the values obtained using traditional three-electrode system by an initial preconcentration of the analyte using the large-surface area electrode; (ii) an increase of the selectivity of voltammetric determinations thanks to the application of a flow system and exchange the solution after the first deposition step; (iii) simplification of performing the measurements in comparison to the original version of double accumulation and stripping steps mode due to the lack of a need to change the position of the first working electrode; (iv) the possibility of analysis of samples with a complex matrix thanks to the use of a flow system leading to minimization of matrix effects in the second deposition step. The developed procedure of As(III) determination offers a wide linear dynamic range in the range from 1 × 10<sup>-9</sup> to 5 × 10<sup>-8</sup> mol L<sup>-1</sup> at a deposition time of 120 s at both working electrodes. The detection limit for As(III) determination was 4.8 × 10<sup>-10</sup> mol L<sup>-1</sup>. The undoubted advantage of the described procedure is its high selectivity. The tolerable limit of excess of Cu(II), which is the main interferent in the course of anodic stripping voltammetric As(III) determination, was significantly increased thanks to the solution exchange after the first deposition step. The correctness of the proposed procedure was confirmed by analysis of a real water sample and lake water certified reference material by obtaining satisfactory recovery values. The additional advantage of the proposed procedure is a miniaturization of the measurement system and the use of environmentally friendly electrodes.</span></span></p>
Additional climate information for research paper «Ecological and Geographical Analysis of Distribution of Heracleum persicum, H. mantegazzianum and H. sosnowskyi on The Northern Limit of Its Invaded Range in Europe» submitted to Russian Journal of Biological Invasions
<p><strong>Additional climate information for research paper «Ecological and Geographical Analysis of Distribution of Heracleum persicum, H. mantegazzianum and H. sosnowskyi on The Northern Limit of Its Invaded Range in Europe» submitted to Russian Journal of Biological Invasions </strong></p>
Data from: Quantitative genetic analysis of floral traits shows current limits but potential evolution in the wild
<p>The vast variation in floral traits across angiosperms is often interpreted as the result of adaptation to pollinators. However, studies in wild populations often find no evidence of pollinator-mediated selection on flowers. Evolutionary theory predicts this could be the outcome of periods of stasis under stable conditions, followed by shorter periods of pollinator change that provide selection for innovative phenotypes. We asked if periods of stasis are caused by stabilizing selection, absence of other forms of selection, or by low trait ability to respond even if selection is present. We studied a plant predominantly pollinated by one bee species across its range. We measured heritability and evolvability of traits, using genome-wide relatedness in a large wild population, and combined this with estimates of selection on the same individuals. We found evidence for both stabilizing selection and low trait heritability as potential explanations for stasis in flowers. The area of the standard petal is under stabilizing selection, but the variability is not heritable. A separate trait, floral weight, presents high heritability, but is not currently under selection. We show how a simple pollination environment coincides with the absence of current prerequisites for adaptive evolutionary change, while heritable variation remains to respond to future selection pressures.</p>
Dietary adaptations along the Northern limit of distribution: What does the smooth snake (Coronella austriaca) eat in Norway? Metabarcoding of stomach content and visual analysis of faeces
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Effects of nutrient limitation on the synthesis of N-rich phytoplankton toxins: a meta-analysis
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Data from: Quantitative genetic analysis of floral traits shows current limits but potential evolution in the wild
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Data from: Phenotypic integration limits the variation in plant phenotypic plasticity among traits: a meta-analysis
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Structure parameter optimization and bearing limit analysis of the expansion unit of three-roller tube expander
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Social selection analysis reveals limited effect of neighbors’ traits in Tree swallows
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Limited proteolysis fragments of full-length huntingtin with chymotrypsin – mass spectrometry analysis (2016/04/21)
<p>Open lab note book for huntingtin structure function project</p>
FIGURE 5. R. myrmecophilus. A. Head, dorsal view. B. Mandible. C. Antennae. D. Mesossoma, dorsal view. E. Mesopleuron, lateral view. F. Tarsal claw. G in Phylogenetic analysis of Rhabdepyris (Hymenoptera: Bethylidae) and redefinition of generic limits based on morphological characters
FIGURE 5. R. myrmecophilus. A. Head, dorsal view. B. Mandible. C. Antennae. D. Mesossoma, dorsal view. E. Mesopleuron, lateral view. F. Tarsal claw. G. Hing wing. Scale = 0.35 mm.
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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.