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249 results for “Synergy”
AlloyManufacturingNet for discovery and design of hardness-elongation synergy in multi-principal element alloys
<p>Description</p> <p>1. Models saved after training the neural networks:</p> <p>a. hardness_saved_models.zip</p> <p>b. ductility_saved_models.zip</p> <p>2.<strong> prediction_data_for_casting_process.zip</strong>: Alloy types and their composition variants are provided in the file <strong>multicomponent_alloys_variants_compositions.csv</strong>. The hardness prediction for casting process with alloys are given in <strong>hardness_prediction_alloys_CAT-A.csv</strong> file whereas elongation prediction for the alloys for the same process (manufacturing route) are provided in<strong> elongation_prediction_alloys_CAT-A.csv</strong>. The composition sets D1_{x}D2_{y}(ZrHfNb)_{1-x-y} are referred to as<strong> Alloy A</strong>, whereas D1_{x}D2_{y}(VNbTa)_{1-x-y} are denoted as <strong>Alloy B</strong> in the columns of the csv files. The numeric value after alloy type denotes the specific pairs of the dopants [D1,D2] . For example, the alloy variants Ti_{x}Ta_{y}(ZrHfNb)_{1-x-y}, W_{x}Ta_{y}(ZrHfNb)_{1-x-y}, Mo_{x}Ta_{y}(ZrHfNb)_{1-x-y}, and Cr_{x}W_{y}(ZrHfNb)_{1-x-y} are referred to as Alloy A1, Alloy A2, Alloy A3 and Alloy A4 respectively. Similarly, Alloy A1, Alloy A2, Alloy A3 and Alloy A4 respectively denote Cr_{x}W_{y}(VNbTa)_{1-x-y}, Zr_{x}W_{y}(VNbTa)_{1-x-y}, Hf_{x}W_{y}(VNbTa)_{1-x-y}, and Mo_{x}Ti_{y}(VNbTa)_{1-x-y}. Hence, if a column is represented as HV_A2, then it is the hardness prediction for the alloy systems W_{x}Ta_{y}(ZrHfNb)_{1-x-y}, and if the column header is EL_B3, then the elongation of Hf_{x}W_{y}(VNbTa)_{1-x-y} alloy systems is estimated.</p>
Multiple ecosystem service synergies and landscape-mediation of biodiversity within urban agroecosystems
<p>Ecosystem services are essential for human well-being, especially in urban areas where 60% of the global population will live by 2030. While urban habitats have the potential to support biodiversity and ecosystem services, few studies have quantified the impact of local and landscape management across a diverse suite of services. We leverage five years of data (>5,000 observations) across a network of urban gardens to determine the drivers of biodiversity and ecosystem service trade-offs and synergies. We found multiple synergies and few trade-offs, contrasting previous assumptions that food production is at odds with biodiversity. Furthermore, we show that landscape-level natural habitat cover interacts with local management to mediate services provided by mobile animals, specifically pest control and pollination. By quantifying the factors that support a diverse suite of ecosystem services, we highlight the critical role of garden management and urban planning for optimizing biodiversity and human benefit.</p>
Data from: More future synergies and less trade‐offs between forest ecosystem services with natural climate solutions instead of bioeconomy solutions
<p>To reach the Paris Agreement, societies need to increase the global terrestrial carbon sink. There are many climate change mitigation solutions (CCMS) for forests, including increasing bioenergy, bioeconomy and protection. Bioenergy and bioeconomy solutions use climate-smart, intensive management to generate high quantities of bioenergy and bioproducts. Protection of (semi-)natural forests is a major component of 'natural climate solution' (NCS) since forests store carbon in standing biomass and soil. Furthermore, protected forests provide more habitat for biodiversity and non-wood ecosystem services (ES). We investigated the impacts of different CCMS and climate scenarios, jointly or in isolation, on future wood ES, non-wood ES, and regulating ES for a major wood provider for the international market. Specifically, we projected future ES given by three CCMS scenarios for Sweden 2020-2100. In the long term, fulfilling the increasing wood demand through bioenergy and bioeconomy solutions will decrease ES multifunctionality, but the increased stand age and wood stocks induced by rising greenhouse gas (GHG) concentrations will partially offset these negative effects. Adopting bioenergy and bioeconomy solutions will have a greater negative impact on ES supply than adopting NCS. Bioenergy or bioeconomy solutions, as well as increasing GHG emissions, will reduce synergies and increase trade-offs in ES. NCS, by contrast, increases the supply of multiple ES in synergy, even transforming current ES trade-offs into future synergies. Moreover, NCS can be considered an adaptation measure to offset negative climate change effects on the future supplies of non-wood ES. In boreal countries around the world, forestry strategies that integrate NCS more deeply are crucial to ensure a synergistic supply of multiple ES.</p>
Synergy between deep learning and numerical modeling in estimating NOx emissions at a fine spatiotemporal resolution
<p>This study focused on the remarkable applicability of deep learning (DL) together with numerical modeling in estimating NO<sub>x</sub> emissions at a fine spatiotemporal resolution in the summer of 2017 over the contiguous United States (CONUS). We leveraged the partial convolutional neural network (PCNN) and the deep neural network (DNN) to impute gaps in the OMI tropospheric NO<sub>2</sub> column and estimate the daily complete surface NO<sub>2</sub> map at a spatial resolution of 10 km × 10 km, showing high capability with a strong correspondence (R: 0.92, IOA: 0.96, MAE: 1.43). We then used the Community Multi-scale Air Quality (CMAQ) model at 12 km grid spacing to conduct an inversion of NO<sub>x</sub> emissions that allowed us to promote a comprehensive understanding of the chemical evolution. Compared to the prior emissions, the inversion suggested 3.21 ± 3.34 times higher NO<sub>x</sub> emissions over CONUS, significantly mitigating the underestimation of surface NO<sub>2</sub> concentrations with the prior emissions. The results displayed the primary benefits of incorporating DL-estimated daily complete surface NO<sub>2</sub> map, which in turn greatly reduced bias (-1.53 ppb to 0.26 ppb) and enhanced daily variability with higher correspondence (0.84 to 0.92) and lower error (0.48 ppb to 0.10 ppb) over the CONUS. </p>
Systematic Comparison of Software Agents and Digital Twins: Differences, Similarities, and Synergies in Industrial Production: A Dataset
<p>Supplementary dataset containing extrated information regarding the capabilites, properties, purposes, and axes of RAMI 4.0 of Agents and Digital Twins.</p>
Phage-antibiotic synergy: cell filamentation is a key driver of successful phage predation
<div class="t-landing__text-wall "> <p><span>Phages are promising tools to fight antibiotic-resistant bacteria, and as for now, phage therapy is essentially performed in combination with antibiotics. Interestingly, combined treatments including phages and a wide range of antibiotics lead to an increased bacterial killing, a phenomenon called phage-antibiotic synergy (PAS), suggesting that antibiotic-induced changes in bacterial physiology alter the dynamics of phage propagation. Using single-phage and single-cell techniques, each step of the lytic cycle of phage HK620 was studied in <em>E. coli</em> cultures treated with either ciprofloxacin or cephalexin, two filamentation-inducing antibiotics. In the presence of sublethal doses of antibiotics, multiple stress tolerance and DNA repair pathways are triggered following activation of the SOS response. One of the most notable effects is the inhibition of bacterial division. As a result, a significant fraction of cells forms filaments that stop dividing but have higher rates of mutagenesis. Antibiotic-induced filaments become easy targets for phages due to their enlarged surface areas, as demonstrated by fluorescence microscopy and flow cytometry techniques. Adsorption, infection and lysis occur more often in filamentous cells compared to regular-sized bacteria. In addition, the reduction in bacterial numbers caused by impaired cell division may account for the faster elimination of bacteria during PAS. We developed a mathematical model to capture the interaction between sublethal doses of antibiotics and exposition to phages. This model shows that the induction of filamentation by sublethal doses of antibiotics can amplify the replication of phages and therefore yield PAS. We also use this model to study the consequences of PAS on the emergence of antibiotic resistance. A significant percentage of hyper-mutagenic filamentous bacteria are effectively killed by phages due to their increased susceptibility to infection. As a result, the addition of even a very low number of bacteriophages produced a strong reduction of the mutagenesis rate of the entire bacterial population. We confirm this prediction experimentally using reporters for bacterial DNA repair. Our work highlights the multiple benefits associated with the combination of sublethal doses of antibiotics with bacteriophages.</span></p> </div>
Dataset: Magnetic and electric antennas synergy for partial discharge measurements in gas-insulated substations: Power flow and reflection suppression
<p>Data set for the publication named: Magnetic and electric antennas synergy for partial discharge measurements in gas-insulated substations: Power flow and reflection suppression. Each header corresponds to the figure and legend.</p>
Zoledronic Acid - Letrozole Adjuvant Synergy Trial (ZFAST) - Cancer Treatment Related Bone Loss in Postmenopausal Women With Estrogen Receptor Positive and/or Progesterone Receptor Positive Breast Can
ClinicalTrials.gov study NCT00050011. IPD Sharing: Not stated. Countries: 2. Publications: 1.
The EVOLVE II Clinical Trial To Assess the SYNERGY Stent System for the Treatment of Atherosclerotic Lesion(s)
ClinicalTrials.gov study NCT01665053. IPD Sharing: Not stated. Countries: 16. Publications: 2.
The Synergy to Control Emergency Department Hyperglycemia Program for Type 2 Diabetes
ClinicalTrials.gov study NCT02269098. IPD Sharing: NO. Countries: 1. Publications: 3.
Phage-antibiotic synergy: cell filamentation is a key driver of successful phage predation
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Data from: A trait-based approach elucidates the synergies and vulnerabilities of ecosystem services in drylands, as well as their decoupling from biodiversity
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Synergies and trade-offs between ecosystem services and economics in dryland cover crop systems
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Context-dependent disturbance synergies: Subcortical competitors may constrain bark beetle irruption following wildfires
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Data from: More future synergies and less trade‐offs between forest ecosystem services with natural climate solutions instead of bioeconomy solutions
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Multiple ecosystem service synergies and landscape-mediation of biodiversity within urban agroecosystems
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The impact of market integration on the digital divide: An analysis based on the heterogeneous effect of innovation resource synergy
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Data from: Precipitation and nitrogen enrichment impact carbon exchange and stability: From antagonism to synergy with increasing shrub encroachment
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Networks of physiological adjustments and defenses, and their synergy with sodium (Na+) homeostasis explain the hidden variation for salinity tolerance across the cultivated Gossypium hirsutum germplasm
<p>The abilities to mobilize and/or sequester excess ions within and outside the plant cell are important components of salt-tolerance mechanisms. Mobilization and sequestration of Na<sup>+</sup> involves three transport systems facilitated by the plasma membrane H<sup>+</sup>/Na<sup>+</sup> antiporter (SOS1), vacuolar<i> </i>H<sup>+</sup>/Na<sup>+</sup> antiporter (NHX1), and Na<sup>+</sup>/K<sup>+</sup> transporter<i> </i>in vascular tissues (HKT1). Many of these mechanisms are conserved across the plant kingdom. While <i>Gossypium hirsutum</i> (upland cotton) is significantly more salt-tolerant relative to other crops, the critical factors contributing to the phenotypic variation hidden across the germplasm have not been fully unraveled. In this study, the spatio-temporal patterns of Na<sup>+</sup> accumulation along with other physiological and biochemical interactions were investigated at different severities of salinity across a meaningful genetic diversity panel across cultivated upland <i>Gossypium. </i>The aim was to define the importance of holistic or integrated effects relative to the direct effects of Na<sup>+</sup> homeostasis mechanisms mediated by <i>GhHKT1, GhSOS1,</i> and <i>GhNHX1. </i>Multi-dimensional physio-morphometric attributes were investigated in a systems-level context using univariate and multivariate statistics, <i>randomForest,</i> and path analysis. Results showed that mobilized or sequestered Na<sup>+</sup> contributes significantly to the baseline tolerance mechanisms. However, the observed variance in overall tolerance potential across a meaningful diversity panel were more significantly attributed to antioxidant capacity, maintenance of stomatal conductance, chlorophyll content, and divalent cation (Mg<sup>2+</sup>) contents other than Ca<sup>2+</sup> through a complex interaction with Na<sup>+</sup> homeostasis. The multi-tier macro-physiological, biochemical and molecular data generated in this study, and the networks of interactions uncovered strongly suggest that a complex physiological and biochemical synergy beyond the first-line-of defense (Na<sup>+</sup> sequestration and mobilization) accounts for the total phenotypic variance across the primary germplasm of <i>Gossypium hirsutum</i>. These findings are consistent with the recently proposed Omnigenic Theory for quantitative traits and should contribute to a modern look at phenotypic selection for salt tolerance in cotton breeding.</p>
Data from: Trade-offs and synergies between bird conservation and wildfire suppression in the face of global change
1. The combined effects of climate change and other factors, such as land use change or fire disturbance, pose daunting challenges for biodiversity conservation worldwide. 2. In this study, we predicted the future effectiveness of the Natura 2000 (N2000), the current network of protected areas (PA) in Europe, at maintaining and representing suitable environmental conditions for a set of 79 bird species between 2000 and 2050 in a fire-prone area strongly affected by land abandonment processes in NE Spain. We then compared PA performance against a set of alternative priority areas for conservation, which take into account fire–vegetation dynamics, selected by using a conservation planning tool (MARXAN). Fire–vegetation dynamics were modelled using a process-based model (MEDFIRE MODEL) under alternative fire management and climate change scenarios. Bird assemblage distributions were predicted using the spatially-explicit species assemblage modelling frameworkSESAMusing distribution models from individual species that hierarchically integrate climate change and wildfire–vegetation dynamics. 3. The amount of suitable environmental conditions within the N2000 network was predicted to fall by around 15%, on average, over the next decades in relation to the initial conditions, but could be partially modulated by fire management policies in the near future. The efficiency of the current PA system was predicted to decrease from 17.4 to 15% over the next decades. However, a more efficient PA system could be achieved with a conservation planning approach that explicitly considers fire–vegetation dynamics and their management. 4. Synthesis and applications: Our findings shed light on: (1) how the current Natura 2000 might still hold an important bird conservation value by 2050; (2) how the relocation of some protected areas could be considered along the next decades to substantially increase bird conservation effectiveness; and (3) how the integration of fire-vegetation dynamics, fire management policies and their objectives within conservation planning can provide 'win-win' solutions for bird conservation and fire prevention in fire-prone abandoned landscapes.
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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)
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DANDI Archive for NWB datasets
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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.