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295 results for “POTS”
Pot-1::mCherry transgene images from: Gametes deficient for Pot1 telomere binding proteins alter levels of telomeric foci for multiple generations
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Data from: Defining conservation units in a stocking-induced genetic melting pot: unravelling native and multiple exotic genetic imprints of recent and historical secondary contact in Adriatic grayling
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Data from: Evolutionary melting pots: a biodiversity hotspot shaped by ring diversifications around the Black Sea in the Eastern tree frog (Hyla orientalis)
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Data from: Modified HEPES one-pot synthetic strategy for gold nanostars
Gold nanostars are being utilized more regularly in the biosensing field. Despite their useful attributes, there is still a need to optimize aspects of the synthesis and stability. The seedless, synthetic method comprised of 4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid (HEPES) is a facile, rapid method, however, produces heteromorphic nanostars. The modification of a HEPES method resulted in a silver-assisted, seedless gold nanostar synthesis method. The nanostars resulting from this method were monodispersed, multi-branched and approximately 37nm + 2nm in diameter. It proved to be a repeatable method that produced homogenous and robust nanostars. Once functionalized with polyvinylpyrrolidone 10 000, the new nanostars were observed to be stable in various environments such as salt, ionic strength and cell culture medium. In conclusion, the addition of the silver nitrate improved the morphology of the reported HEPES nanostars for the purpose of nanobiosensor development.
low-temp boiling water pot in fire
this is my first tiltbrush work. :) Source: Objaverse 1.0 / Sketchfab
Rose Water Pot
پاتیل گلاب گیری Source: Objaverse 1.0 / Sketchfab
Supported data for manuscript "Can LLM-Augmented autonomous agents cooperate?, An evaluation of their cooperative capabilities through Melting Pot"
<p>The repository data corresponds partially to the manuscript titled <strong>"Can LLM-Augmented Autonomous Agents Cooperate? An Evaluation of Their Cooperative Capabilities through Melting Pot,"</strong> submitted to <em>IEEE Transactions on Artificial Intelligence</em>. The dataset comprises experiments conducted with <strong>Large Language Model-Augmented Autonomous Agents (LAAs)</strong>, as implemented in the ["Cooperative Agents" repository](https://github.com/Cooperative-IA/CooperativeGPT/tree/main), using substrates from the Melting Pot framework.</p> <h3>Dataset Scope</h3> <p>This dataset is divided into two main experiment categories:</p> <ol> <li> <p><strong>Personality__experiments</strong>:</p> <ul> <li>These focus on a single scenario (<strong>Commons Harvest</strong>) to assess various agent personalities and their cooperative dynamics.</li> </ul> </li> <li> <p><strong>Comparison_baselines__experiments</strong>:</p> <ul> <li>These experiments include three distinct scenarios designed by Melting Pot: <ul> <li><strong>Commons Harvest Open</strong></li> <li><strong>Externally Mushrooms</strong></li> <li><strong>Coins</strong></li> </ul> </li> </ul> </li> </ol> <p>These scenarios evaluate different cooperative and competitive behaviors among agents and are used to compare <strong>decision-making architectures</strong> of LAAs against reinforcement learning (RL) baselines. Unlike the <strong>Personality__experiments</strong>, these comparisons do not involve bots but exclusively analyze RL and LAA architectures.</p> <h3>Scenarios and Metrics</h3> <p>The metrics and indicators extracted from the experiments depend on the scenario being evaluated:</p> <ol> <li> <p><strong>Commons Harvest Open</strong>:</p> <ul> <li>Focus: <strong>Resource consumption</strong> and <strong>environmental impact</strong>.</li> <li>Metrics include: <ul> <li>Number of apples consumed.</li> <li>Devastation of trees (i.e., depletion of resources).</li> </ul> </li> </ul> </li> <li> <p><strong>Externally Mushrooms</strong>:</p> <ul> <li>Focus: <strong>Self-interest vs. collective benefit</strong>.</li> <li>Agents consume mushrooms with different outcomes: <ul> <li>Mushrooms that benefit the individual.</li> <li>Mushrooms that benefit everyone.</li> <li>Mushrooms that benefit only others.</li> <li>Mushrooms that benefit the individual but penalize others.</li> </ul> </li> <li>Metrics evaluate trade-offs between individual gain and collective welfare.</li> </ul> </li> <li> <p><strong>Coins</strong>:</p> <ul> <li>Focus: <strong>Reciprocity and fairness</strong>.</li> <li>Agents collect coins with two options: <ul> <li>Collect their own color coin for a reward.</li> <li>Collect a different color coin, which grants a reward to the agent but penalizes the other.</li> </ul> </li> <li>Metrics include reciprocity rates and the balance of mutual benefits.</li> </ul> </li> </ol> <h3>Objectives of Comparison Experiments</h3> <p>The <strong>Comparison_baselines__experiments</strong> aim to:</p> <ol> <li>Assess how LAAs compare to RL baselines in cooperative and competitive tasks across diverse scenarios.</li> <li>Compare <strong>decision-making architectures</strong> within LAAs, including chain-of-thought and generative approaches.</li> </ol> <p>These experiments help evaluate the robustness of LAAs in scenarios with varying complexity and social dilemmas, providing insights into their potential applications in real-world cooperative systems.</p> <h3>Simulation Details (Applicable to All Experiments)</h3> <p>In each simulation:</p> <ol> <li> <p><strong>Participants</strong>:</p> <ul> <li>Experiments involve predefined numbers of LAAs or RL agents.</li> <li>No bots are included in <strong>Comparison_baselines__experiments</strong>.</li> </ul> </li> <li> <p><strong>Action Dynamics</strong>:</p> <ul> <li>Each agent performs high-level actions sequentially.</li> <li>Simulations conclude either after reaching a <strong>preset maximum number of rounds</strong> (typically 100) or prematurely if the scenario's resources are fully depleted.</li> </ul> </li> <li> <p><strong>Metrics and Indicators</strong>:</p> <ul> <li>Extracted metrics depend on the scenario and include measures of individual performance, collective outcomes, and agent reciprocity.</li> </ul> </li> </ol> <p>This repository enables reproducibility and serves as a benchmark for advancing research into cooperative and competitive behaviors in LLM-based agents.</p>
A One-Pot Synthesis of Disubstituted Thiazoles from Chalcone C−H Bonds, Elemental Sulfur, and Glycine Ethyl Ester
<p>FID files and HRMS results</p>
Leaf functional traits and insular colonization: subtropical islands as a melting pot of trait diversity in a widespread plant lineage
<p><strong>Aim: </strong>One of the main goals of functional biogeography is to examine distribution patterns of trait diversity, and islands provide excellent study cases for this emerging field. We tested the hypothesis that multiple dispersals from a common mainland pool would promote functional similarity among island systems when environmental conditions are similar, but also novel phenotypic traits related to colonization history and exploitation of new habitats.</p> <p><strong>Location: </strong>Mediterranean Basin and Macaronesian islands</p> <p><strong>Methods:</strong> We used the well-known biogeographical history of a woody plant complex (Periploca laevigata s.l.) to examine trait variation and how it relates to climatic conditions of mainland and subtropical island settings. In a common garden experiment, we measured a suite of leaf physiological and anatomical traits tightly related to plant performance in 320 seedlings representing 21 populations of five sublineages: the oldest (2.6 my) island colonization (western Canary Islands) as a reference, three sublineages stemming from independent events of island colonization in the last 0.5 my from NW Africa (Cape Verde, Fuerteventura, Lanzarote), and their widespread Mediterranean mainland counterpart.</p> <p><strong>Results:</strong> We observed strong phenotypic divergence between island and mainland sublineages linked to contrasting climatic conditions. Mediterranean mainland populations displayed a very specialized leaf phenotype characteristic of arid plants (i.e. small leaves, amphistomaty, isobilateral mesophyll, high photosynthetic rates). In turn, low seasonality on islands was linked to the recurrent expression of a phenotype characterized by larger leaves and lower photosynthetic rates. Our analyses showed that the high investment in secondary compounds (i.e. tannins) on islands decouples photosynthesis from growth rates. Despite this pattern of parallel differentiation, each island sublineage displayed a distinctive phenotype, with some traits related to colonization time, which resulted in a mosaic of functional variation across island systems.</p> <p><strong>Main conclusions: </strong>Our data suggest that the studied subtropical islands promote expression of traits specific to certain sublineages and other common traits that are no untypeset proof Page 2 of 50 Journal of Biogeography longer adaptive in the original mainland pool due to Pleistocene climatic shifts. These findings ultimately extend the role of islands as biodiversity refugia and hotspots of plant functional diversity.</p>
Using Mirabegron to Increase BP in Patients With POTS
ClinicalTrials.gov study NCT06133075. IPD Sharing: NO. Countries: 1. Publications: 0.
Efficacy and Safety Study of Efgartigimod in Adults With Post-COVID-19 POTS
ClinicalTrials.gov study NCT05633407. IPD Sharing: NO. Countries: 1. Publications: 1.
Study of Natriuretic Peptide Receptor 1 (NPR1) Antagonist in Adult Patients With Postural Orthostatic Tachycardia Syndrome (POTS)
ClinicalTrials.gov study NCT06593600. IPD Sharing: YES. Countries: 2. Publications: 0.
Non-invasive Vagal Neurostimulation (nVNS) in Adolescents With Postural Orthostatic Tachycardia Syndrome (POTS)
ClinicalTrials.gov study NCT06268288. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Adrenocorticotropic Hormone Stimulation in Postural Orthostatic Tachycardia Syndrome (POTS)
ClinicalTrials.gov study NCT01764711. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Iron Sucrose in Adolescents With Iron Deficiency and Postural Orthostatic Tachycardia Syndrome (POTS)
ClinicalTrials.gov study NCT01978535. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Open Label Extension of Efgartigimod in Adults With Post-COVID-19 POTS
ClinicalTrials.gov study NCT05918978. IPD Sharing: NO. Countries: 1. Publications: 0.
Standing Cognition and Co-morbidities of POTS Evaluation
ClinicalTrials.gov study NCT03602482. IPD Sharing: NO. Countries: 1. Publications: 0.
Gabapentin Treatment of Postural Tachycardia Syndrome (PoTS)
ClinicalTrials.gov study NCT04345432. IPD Sharing: NO. Countries: 0. Publications: 14.
Data from: Modified HEPES one-pot synthetic strategy for gold nanostars
Open the record for dataset details and reuse information.
Leaf functional traits and insular colonization: subtropical islands as a melting pot of trait diversity in a widespread plant lineage
Open the record for dataset details and reuse information.
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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.