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Fig. 4 in Germinação e crescimento in vitro de Epidendrum secundum Jacq. (Orchidaceae) em diferentes meios de cultivo e períodos de exposição a agentes desinfestantes seminais
Fig. 4. Comprimento Total da Plântula (CTP) e Diâmetro do Pseudobulbo (DP), avaliadas após 180 dias de cultivo in vitro, com relação a meios de cultivo e períodos de exposição a diferentes concentrações de NaClO e Ca(ClO) 2 em sementes de Epidendrum secundum. MS = Meio de Murashige & Skoog (1962), Ky = Meio Kyoto de Kano (1965), Pe = Meio à base de fertilizante Peters®.
Fig. 2 in The effect of food source on survival and development of Lilioceris cheni (Coleoptera: Chrysomelidae), a biological control agent of air potato (Dioscoreales: Dioscoreaceae)
Fig. 2. Development time (mean ± SE) of Lilioceris cheni from 3rd instar to adult when reared on leaves or brown bulbils of air potato.
Self-Assembly and Synchronization: Crafting Music with Multi-Agent Embodied Oscillators - DATASET
<p>Dataset for amalysis replication</p>
Figure 6 from: Vitale S, Aiello D, Guarnaccia V, Luongo L, Galli M, Crous PW, Polizzi G, Belisario A, Voglmayr H (2018) Liberomyces pistaciae sp. nov., the causal agent of pistachio cankers and decline in Italy. MycoKeys 40: 29-51. https://doi.org/10.3897/mycokeys.40.28636
Figure 6 Liberomycespistaciae. a–d Cultures (aMEA, 6 weeks, 22 °C bCMD, 6 weeks, 22 °C cPDA, 3 weeks, 25 °C dPDA, 2 weeks, 25 °C) e Pycnidia produced on artificially inoculated sterilised pistachio twigs f–h Pycnidia in face view on MEAi Pycnidial wall in face view j–n Conidiophores and conidiogenous cells o–q Conidiogenous cells (o young p, q showing sympodial conidiation) r Conidia. All in water. Sources: a–c, f–r ex-holotype strain ISPaVe1958 = CBS 128196 d, e PV1= CPC 31292. Scale bars: 500 µm (e, f); 200 µm (g, h); 10 µm (i–l); 5 µm (m–r).
Figure 7 from: Vitale S, Aiello D, Guarnaccia V, Luongo L, Galli M, Crous PW, Polizzi G, Belisario A, Voglmayr H (2018) Liberomyces pistaciae sp. nov., the causal agent of pistachio cankers and decline in Italy. MycoKeys 40: 29-51. https://doi.org/10.3897/mycokeys.40.28636
Figure 7 Asteromellapistaciarum W 1973-15537 (lectotype). a, b Pycnidia in leaf in face view c–e Pycnidia embedded in leaf in vertical section f Pycnidial wall with phialides and conidia in vertical section g Pycnidial wall in tangential section h–l Conidiophores and conidiogenous cells m Conidia. Scale bars: 10 mm (a); 100 µm (b); 20 µm (c–e); 10 µm (f–l); 5 µm (m).
Figure 3 from: Vitale S, Aiello D, Guarnaccia V, Luongo L, Galli M, Crous PW, Polizzi G, Belisario A, Voglmayr H (2018) Liberomyces pistaciae sp. nov., the causal agent of pistachio cankers and decline in Italy. MycoKeys 40: 29-51. https://doi.org/10.3897/mycokeys.40.28636
Figure 3 Temperature-growth relationships of the holotype isolate ISPaVe1958 compared to the more recent isolate ISPaVe2148 of Liberomycespistaciae on 1.5% MEA. Mean growth rates (mm) plus and minus the standard deviation, calculated on three replicates after 21 d of incubation, are shown.
Figure 4 from: Vitale S, Aiello D, Guarnaccia V, Luongo L, Galli M, Crous PW, Polizzi G, Belisario A, Voglmayr H (2018) Liberomyces pistaciae sp. nov., the causal agent of pistachio cankers and decline in Italy. MycoKeys 40: 29-51. https://doi.org/10.3897/mycokeys.40.28636
Figure 4 Phylogram of the best ML tree (-lnL = 19486.775) revealed by RAxML from an analysis of the combined ITS-LSU matrix of selected Xylariales, showing the phylogenetic position of Liberomycespistaciae (bold) within Delonicicolaceae. ML and MP bootstrap support above 50% are given above or below the branches.
Figure 2 from: Vitale S, Aiello D, Guarnaccia V, Luongo L, Galli M, Crous PW, Polizzi G, Belisario A, Voglmayr H (2018) Liberomyces pistaciae sp. nov., the causal agent of pistachio cankers and decline in Italy. MycoKeys 40: 29-51. https://doi.org/10.3897/mycokeys.40.28636
Figure 2 Symptoms reproduced from mycelial plug inoculation with Liberomycespistaciae on 5-year-old potted plants of Pistaciavera. Stem symptoms after a, b 3 wks c 6 months d, e 12 months f, g Cankers on twigs.
Figure 1 from: Vitale S, Aiello D, Guarnaccia V, Luongo L, Galli M, Crous PW, Polizzi G, Belisario A, Voglmayr H (2018) Liberomyces pistaciae sp. nov., the causal agent of pistachio cankers and decline in Italy. MycoKeys 40: 29-51. https://doi.org/10.3897/mycokeys.40.28636
Figure 1 Symptoms caused by Liberomycespistaciae on Pistaciavera in vivo. a Plant killed by canker on trunk b Twigs dieback c, d Shoots wilted on infected twig e Gum and cracking of the trunk f, g Internal tissue of trunk cankers h Gum exudation on branch i Internal dark discolouration in cross section of branch j Necrotic tissue in longitudinal section of twig k, l External and internal cankers on twigs.
Figure 5 from: Vitale S, Aiello D, Guarnaccia V, Luongo L, Galli M, Crous PW, Polizzi G, Belisario A, Voglmayr H (2018) Liberomyces pistaciae sp. nov., the causal agent of pistachio cankers and decline in Italy. MycoKeys 40: 29-51. https://doi.org/10.3897/mycokeys.40.28636
Figure 5 Phylogram of the best ML tree (-lnL = 12820.324) revealed by RAxML from an analysis of the combined ITS-rpb2-tub2 matrix of selected Xylariales, showing the phylogenetic position of Liberomycespistaciae (bold) within Delonicicolaceae. The tree was rooted with two species of Diaporthales (Diaporthelimonicola, Juglanconisjuglandina). ML and MP bootstrap support above 50% are given above the branches.
Supplementary material 1 from: Vitale S, Aiello D, Guarnaccia V, Luongo L, Galli M, Crous PW, Polizzi G, Belisario A, Voglmayr H (2018) Liberomyces pistaciae sp. nov., the causal agent of pistachio cankers and decline in Italy. MycoKeys 40: 29-51. https://doi.org/10.3897/mycokeys.40.28636
Information on Liberomycespistaciae isolates used in this study :
FIGURE 4 in A new species of Aculus mite (Acari: Eriophyidae), a potential biocontrol agent for Australian swamp stonecrop, Crassula helmsii (Crassulaceae)
FIGURE 4. Semi-schematic drawing of Aculus crassulae sp. nov. DL. Dorsal view of nymph.
FIGURE 3 in A new species of Aculus mite (Acari: Eriophyidae), a potential biocontrol agent for Australian swamp stonecrop, Crassula helmsii (Crassulaceae)
FIGURE 3. Semi-schematic drawing of Aculus crassulae sp. nov. DNY. Dorsal view of nymph.
EVO-NANO modified PhysiCell simulation run with 100K vasculature agents
<p>PhysiCell modifications:</p> <p>- added CSC</p> <p>-added vasculature</p> <p> </p> <p>this run:</p> <p>Cell cycle speed increased to 1/10 (default is 0.0432/60 = 0,00072)<br> snapshot is taken each 180 minutes (of simulation time)<br> There are 100000 vasculature agents with 1000 branches<br> oxygen secretion rate for each fasculature agent is: phenotype.secretion.secretion_rates[0] = 10</p>
FIGURE 4 in Colletotrichum xishanense as a new etiological anthracnose agent on Fagopyrum gracilipes in Yunnan Province, China
FIGURE 4. Pathogenicity tests of Colletotrichum xishanense CNUCC 453-2-3-1 on Fagopyrum esculentum.
Curiosity Driven Multi-agent Reinforcement Learning for 3D Game Testing
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Video of flocking behaviour. From "Multi Agent Systems with Virtual Stigmergies"
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Data from: Analysis and prediction of effects of the Manchester Triage System on patient waiting times in an emergency department by means of agent-based simulation
A simulation of complex clinical processes is a challenging task and suitable methods need to be found which can capture the influence of relevant factors and their relationships. The Manchester triage system (MTS) is widely used in German emergency departments (ED), however the impact on patient waiting times remain difficult to predict. The purpose of this work is the assessment of MTS particularly with regard to the waiting times of different degrees of severity. The methodology of agent based simulation was found suitable for the ED domain and the agent based simulation tool SeSAm was chosen due to its intuitive user interface and easy adaption of the simulation models. Altogether four agent classes could be implemented based on the information derived from a process model. The model permits a dynamic simulation of the ED processes and a reliable assessment of patient waiting times. In addition, the implementation of a triage nurse allowed the simulation of the triage process and a direct comparison to the current state without a standardized triage procedure. Essential influencing factors (e.g. number of patients, manning level) were implemented and their effects on the ED processes and patient waiting times assessed. The simulation runs delivered correct results based on the underlying process model and the collected statistical data. The process flow and the waiting times of an ED could be mapped exactly. In all simulation runs the waiting times of high triage levels (MTS-levels 1 and 2) could be reduced. Especially patients of MTS-level 2 in the waiting area of the ED benefit significantly from the implementation of a standardized triage procedure and the associated permanent monitoring.
Data from: Towards a framework for agent-based image analysis of remote-sensing data
Object-based image analysis (OBIA) as a paradigm for analysing remotely sensed image data has in many cases led to spatially and thematically improved classification results in comparison to pixel-based approaches. Nevertheless, robust and transferable object-based solutions for automated image analysis capable of analysing sets of images or even large image archives without any human interaction are still rare. A major reason for this lack of robustness and transferability is the high complexity of image contents: Especially in very high resolution (VHR) remote-sensing data with varying imaging conditions or sensor characteristics, the variability of the objects' properties in these varying images is hardly predictable. The work described in this article builds on so-called rule sets. While earlier work has demonstrated that OBIA rule sets bear a high potential of transferability, they need to be adapted manually, or classification results need to be adjusted manually in a post-processing step. In order to automate these adaptation and adjustment procedures, we investigate the coupling, extension and integration of OBIA with the agent-based paradigm, which is exhaustively investigated in software engineering. The aims of such integration are (a) autonomously adapting rule sets and (b) image objects that can adopt and adjust themselves according to different imaging conditions and sensor characteristics. This article focuses on self-adapting image objects and therefore introduces a framework for agent-based image analysis (ABIA).
Metabolic contrast agent produced from transported solid 13C-glucose hyperpolarized via Dynamic Nuclear Polarization
<p>Magnetic Resonance Imaging combined with hyperpolarized <sup>13</sup>C-labelled metabolic contrast agents produced via dissolution Dynamic Nuclear Polarization can, non-invasively and in real-time, report on tissue specific aberrant metabolism. However, hyperpolarization equipment is expensive, technically demanding and needs to be installed on-site for the end-user. In this work, we provide a robust methodology that allows remote production of the hyperpolarized <sup>13</sup>C-labelled metabolic contrast agents. The methodology, built on photo-induced thermally labile radicals, allows solid sample extraction from the hyperpolarization equipment and several hours’ lifetime of the <sup>13</sup>C-labelled metabolic contrast agents at appropriate storage/transport conditions. Exemplified with [U-<sup>13</sup>C, d<sub>7</sub>]-D-glucose, we remotely produce hyperpolarized <sup>13</sup>C-labelled metabolic contrast agents and generate above 10,000-fold liquid-state Magnetic Resonance signal enhancement at 9.4 T, keeping on-site only a simple dissolution device.</p>
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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.