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9,152 results for “Networking”
PlayNet: Real-time Handball Play Classification with Kalman Embeddings and Neural Networks Dataset
<p>Handball play classification dataset. On one hand we have player position and direction (x, y, vx, vy) estimated with a Kalman Filter, and on the other the ball position. For each tuple there is an associated play (right_attack, left_attack, right_transition, left_transition, time_out, right_penal, left_penal). There are two splits train and test.</p> <p> </p> <p> </p>
Fig. 6 in Feature-based molecular networking-guided discovery of siderophores from a marine mesophotic zone Axinellida sponge-associated actinomycete Streptomyces diastaticus NBU2966
Fig. 6. NMR calculation results of 8. (a) Linear correlation plots of computed vs experimental 13C and 1H NMR chemical shifts. (b) Relative errors between the computed NMR values and experimental values. (c) The evaluation of NMR calculation results with statistical parameter MAE and CMAE.
Fig. 5 in Feature-based molecular networking-guided discovery of siderophores from a marine mesophotic zone Axinellida sponge-associated actinomycete Streptomyces diastaticus NBU2966
Fig. 5. NMR calculation results of two plausible isomers of 6. (a) Linear correlation plots of experimental vs computed 13C NMR chemical shifts. (b) Relative errors between the computed 13C NMR values of two potential structures and experimental 13C NMR chemical shifts. (c) The evaluation of calculation results with statistical parameter ME (Maximum Error), CME (Corrected Maximum Error), and CMAE (Corrected Mean Absolute Error).
Fig. 2 in Feature-based molecular networking-guided discovery of siderophores from a marine mesophotic zone Axinellida sponge-associated actinomycete Streptomyces diastaticus NBU2966
Fig. 2. Structures of siderophores 1–10. Three types of iron-chelating moieties are marked with blue, red, and purple, respectively. Previously undescribed natural products are highlighted with red subscript numbers. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Feature-based molecular networking-guided discovery of siderophores from a marine mesophotic zone Axinellida sponge-associated actinomycete Streptomyces diastaticus NBU2966
Fig. 1. Detected chemistries of the EtOAc extract of Streptomyces sp. NBU2966 as generated by LC-MS/MS, which was analyzed using NAP, Dereplicator+, and MolNetEnhancer workflow via the GNPS platform. With this network, wherein nodes represent a precursor ion, and its size is scaled to signal intensity and the thickness of edge between nodes suggests the similarity of fragment pattern. (a) Structural annotation for molecular families, wherein the color of nodes denotes the structural annotation at the superclass level by NAP. (b) Observation of molecular family A allows highlighting dereplicated (R)-2-(2-Hydroxyphenyl)-4-hydroxymethyl-4,5-dihydrothiazole. (c) Observation of molecular family B allowed to highlighting dereplicated pyochelin methyl ester. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 7. Compounds 2–4, 7 in Guided isolation of daphnane-type diterpenes from Daphne genkwa by molecular network strategies
Fig. 7. Compounds 2–4, 7, and 9 induced apoptosis in A549 cells in 50 μM. (A) Annexin V-FITC/PI staining assay of A549 cells was analyzed by flow cytometry. (B) Quantification of data in (A). The percentage of apoptotic cells was calculated in the bar chart. (*, P <0.05. **, P <0.01. ***, P <0.001. ****, P <0.0001).
Fig. 1 in Guided isolation of daphnane-type diterpenes from Daphne genkwa by molecular network strategies
Fig. 1. MS/MS-based molecular network of extract fractions from Daphne genkwa with the expanded protonated cluster. Molecular ions are represented as pie charts and node sizes based on the degree of correlation between compounds.
Fig. 3 in Guided isolation of daphnane-type diterpenes from Daphne genkwa by molecular network strategies
Fig. 3. ORTEP drawing of compound 1 (displacement ellipsoids are drawn at the 30% probability level).
Fig. 7. 13C in MS/MS-based molecular networking accelerated discovery of germacrane-type sesquiterpene lactones from Elephantopus scaber L
Fig. 7. 13C NMR calculation results of compound 2, 2a, 2b. Linear correlation plots of calculated vs experimental 13C NMR chemical shift values.
ASEAN as network governance: an alternative lens to evaluate policymaking and performance
<p><strong><span>Background:</span></strong><span> This article offers a new perspective of ASEAN as network governance (NG) at its core, with a hierarchical organisational structure as its front (hybrid organisation). The works on network forms of organisation and policy network theory (PNT) were used </span><span>for</span><span> the analysis. </span></p> <p><span><strong>Methods</strong>:</span> Two <span>case studies from the ASEAN </span><span>Community</span><span> were selected to show the applicability and effectiveness of NG. </span><span>They were selected for their prominence and the prevalence of critical comments on their ineffectiveness in promoting ASEAN's integration. A study on how these policies are made and implemented in ASEAN was evaluated using a qualitative research methodology by analysing existing literature. </span></p> <p><span><strong>Results</strong>:</span><span> The findings show </span><span>ASEAN </span><span>as a hybrid structure that has helped in two ways critical to </span><span>ASEAN's</span><span> survival and relevance</span><span>.</span><span> First, </span><span>the</span><span> approach provides legitimacy for ASEAN in the international community by purposefully adopting structures similar to the EU without the supranational elements. Second, it highlights ASEAN's goal of asserting </span><span>its </span><span>centrality. While adopting a hybrid structure has led to the soft institutionalisation of ASEAN, characterised by a less empowered secretariat, whose member states are the decision-makers and implementors of policies, adopting NG better reflects the underpinnings allowing a more nuanced assessment of </span><span>its</span><span> performance. In addition, it opens a pathway to recognising the states' autonomy where the extent of actors' will and interests leads to decision</span><span>-</span><span>making and defines ASEAN's performance.</span></p> <p><span><strong>Conclusions</strong>: </span><span>This article demonstrates ASEAN's goal to pursue ASEAN centrality in regional cooperation and institutional arrangements through the alternative approach of NG. NG allows for a nuanced assessment of ASEAN's performance by first highlighting ASEAN's context and history and emphasising the role of member states as decision-makers and implementers of policies. The NG framework has contributed to ASEAN's legitimacy and centrality, fostering regional integration despite its inherent limitations.</span></p>
New key management scheme lattice-based for wireless sensor networks
<p><span>The cluster structure can effectively reduce the cost of mutual authentication of sensor nodes, which is conducive to the expansion of the network, and can guarantee the security of authentication between sensor nodes even in the post-quantum era. The size of the lattice-based authentication proposed in this paper does not change much with the continuous improvement of the security level of the RSA algorithm. The size of the certificate is kept at a stable level, which is more suitable for encrypting large data at a high-security level.</span></p>
Replication package for: "Tail Risk in Production Networks"
<p>Full set of files to replicate tables and figures from "Tail Risk in Production Networks".</p>
Data and Codes of "A Pharmacological Representation-based LSTM Network for Drug–Drug Interaction Extraction"
<p>The datasets and source codes used and/or analyzed in study "A Pharmacological Representation-based LSTM Network for Drug–Drug Interaction Extraction".</p>
Fig. 1 in Establishing the metabolic network of isoquinoline alkaloids from the Macleaya genus
Fig. 1. Diagram of systematic screening of isoquinoline alkaloids by HPLC-Q-TOF-MS combined with a screening method. (a) X, Y, Z, M, and N represent the number of OCH2O, OCH3, OH, glucose, and H groups, respectively. (b) The number of substituent groups connected to the target skeleton is no more than four.
Fig. 4 in Establishing the metabolic network of isoquinoline alkaloids from the Macleaya genus
Fig. 4. Proposed new biosynthesis pathways for protoberberine (97), sanguinarine (144) and chelerythrine (145).
Fig. 2 in Establishing the metabolic network of isoquinoline alkaloids from the Macleaya genus
Fig. 2. Proposed metabolic network of isoquinoline alkaloids in the Macleaya genus. a the solid arrow represents verified biosynthesis pathways; b the dotted arrow represents unverified pathways, c the double arrow represents two or more steps needed for biosynthesis; d MT, GOA, and COA are abbreviation for methyl transferase, glycosyltransferase, and cyclooxygenase, respectively; e the red moieties represent the changed substituent groups, and f the blue moieties represent the 13C -labeled benzene ring. (For 6 interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3 in Meroterpenoids from the leaves of Psidium guajava (guava) cultivated in Korea using MS/MS-based molecular networking
Fig. 3. (A) Key 1H–1H COSY, HMBC and NOESY correlations and (B) calculated and experimental CD spectra of compounds 1, 3, 4, 6 and 8.
Fig. 1 in Meroterpenoids from the leaves of Psidium guajava (guava) cultivated in Korea using MS/MS-based molecular networking
Fig. 1. Comparative analysis of extracts of P. guajava L. grown in Jeju Island, Vietnam and China using LC-MS/MS-based molecular networking. (A) Entire MN of all samples of three regions, (B) Psidium meroterpenoid cluster consistent with samples from Vietnam and China, (C) Target clusters of Jejuguava and isolate nodes.
Fig. 4. 3D docking simulations and 2D in Meroterpenoids from the leaves of Psidium guajava (guava) cultivated in Korea using MS/MS-based molecular networking
Fig. 4. 3D docking simulations and 2D diagrams of ligand interactions for compounds 1–4 in the active site of PTP1B (PDB code 1NNY).
Fig. 4 in Alkaloids from Lepidium meyenii (Maca), structural revision of macaridine and UPLC-MS/MS feature-based molecular networking
Fig. 4. Cluster containing identified imidazole and amidine alkaloids. Nodes were numbered from lowest to highest m/z values. Detailed information on unknown nodes can be found as Supporting Information.
ScienceDex guides
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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.