143,807 research outputs found
WEC-Sim/WEC-Sim: v6.0
<h2>New Features</h2>
<ul>
<li>initial commit largeXYDispOption by @dforbush2 in https://github.com/WEC-Sim/WEC-Sim/pull/877</li>
<li>Update coordinate system figure by @JiaMiGit in https://github.com/WEC-Sim/WEC-Sim/pull/931</li>
<li>Property validation for WEC-Sim objects by @jtgrasb in https://github.com/WEC-Sim/WEC-Sim/pull/904</li>
<li>Dev: adding ampSpectraForWS function by @dforbush2 in https://github.com/WEC-Sim/WEC-Sim/pull/907</li>
<li>Customizable DOFs for plotBEMIO by @akeeste in https://github.com/WEC-Sim/WEC-Sim/pull/944</li>
<li>Calculation_of_Ainf_using_radiationIRF.m by @salhus in https://github.com/WEC-Sim/WEC-Sim/pull/946</li>
<li>Update citation names by @akeeste in https://github.com/WEC-Sim/WEC-Sim/pull/954</li>
<li>Update getDofNames() by @akeeste in https://github.com/WEC-Sim/WEC-Sim/pull/957</li>
<li>included readCAPYTAINE() argument to explicitly define KH.dat & Hydro… by @dav-og in https://github.com/WEC-Sim/WEC-Sim/pull/962</li>
<li>Extract mask variable by @salhus in https://github.com/WEC-Sim/WEC-Sim/pull/958</li>
<li>Add tests to check that SLX file versions do not exceed R2020b by @H0R5E in https://github.com/WEC-Sim/WEC-Sim/pull/919</li>
<li>Products of Inertia in WEC-Sim by @akeeste in https://github.com/WEC-Sim/WEC-Sim/pull/981</li>
<li>Pull bug fixes #954, #999, #1002 from master into dev by @akeeste in https://github.com/WEC-Sim/WEC-Sim/pull/1011</li>
<li>updating readNEMOH based on #983 by @kmruehl in https://github.com/WEC-Sim/WEC-Sim/pull/990</li>
<li>Remove 'fixed' mass option from OSWEC input file by @jtgrasb in https://github.com/WEC-Sim/WEC-Sim/pull/1022 and https://github.com/WEC-Sim/WEC-Sim/pull/1024</li>
<li>Save the applied added mass time series by @akeeste in https://github.com/WEC-Sim/WEC-Sim/pull/1023</li>
<li>Update tutorials by @kmruehl in https://github.com/WEC-Sim/WEC-Sim/pull/1030</li>
<li>Control applications docs by @jtgrasb in https://github.com/WEC-Sim/WEC-Sim/pull/1018</li>
<li>Update read- and writeBEMIOH5 to allow for pressure integration for mean drift by @nathanmtom in https://github.com/WEC-Sim/WEC-Sim/pull/1046</li>
<li>Add function to read h5 file to hydro data structure by @jtgrasb in https://github.com/WEC-Sim/WEC-Sim/pull/1048</li>
<li>Update radiationIRF.m by @nathanmtom in https://github.com/WEC-Sim/WEC-Sim/pull/1045</li>
<li>Normalize quaternion to increase simulation robustness by @akeeste in https://github.com/WEC-Sim/WEC-Sim/pull/1049</li>
<li>Plot bemio features by @jtgrasb in https://github.com/WEC-Sim/WEC-Sim/pull/1034</li>
<li>Updates to Morison Element Implementation by @nathanmtom in https://github.com/WEC-Sim/WEC-Sim/pull/1052</li>
<li>Moving PTO-Sim to main WEC-Sim library by @jleonqu in https://github.com/WEC-Sim/WEC-Sim/pull/1057</li>
<li>Add windows runner to dev branch unit test workflow by @H0R5E in https://github.com/WEC-Sim/WEC-Sim/pull/1061</li>
<li>Update docs dependencies by @H0R5E in https://github.com/WEC-Sim/WEC-Sim/pull/1080</li>
<li>Type property pto sim by @jleonqu in https://github.com/WEC-Sim/WEC-Sim/pull/1064</li>
<li>Added mass updates by @akeeste in https://github.com/WEC-Sim/WEC-Sim/pull/1058</li>
<li>Feature paraview by @agmoore4 in https://github.com/WEC-Sim/WEC-Sim/pull/1081</li>
<li>Paraview documentation hyperlink fix by @agmoore4 in https://github.com/WEC-Sim/WEC-Sim/pull/1093</li>
<li>use capytaine v2 to compute hydrostatics by @dav-og in https://github.com/WEC-Sim/WEC-Sim/pull/1092</li>
<li>Update paraview doc images by @jtgrasb in https://github.com/WEC-Sim/WEC-Sim/pull/1098</li>
<li>readNEMOH update to be compatible with v3.0.0 release (but not QTF) by @nathanmtom in https://github.com/WEC-Sim/WEC-Sim/pull/1087</li>
<li>Add simple direct drive PTO model by @jtgrasb in https://github.com/WEC-Sim/WEC-Sim/pull/1106</li>
<li>Control+pto docs by @jtgrasb in https://github.com/WEC-Sim/WEC-Sim/pull/1108</li>
<li>MOST Capabilities - Continuation by @jtgrasb in https://github.com/WEC-Sim/WEC-Sim/pull/1127</li>
<li>Implement an FIR filter to calculate radiation forces by @salhus in https://github.com/WEC-Sim/WEC-Sim/pull/1071</li>
<li>Updating documentation to include links for the Advanced Features Web… by @jleonqu in https://github.com/WEC-Sim/WEC-Sim/pull/1126</li>
<li>Multiple Wave Spectra by @salhus in https://github.com/WEC-Sim/WEC-Sim/pull/1130</li>
<li>Update WECSim_Lib_Body_Elements.slx for N Waves Applications by @salhus in https://github.com/WEC-Sim/WEC-Sim/pull/1133</li>
<li>Update to MoorDyn v2 by @RyanDavies19 in https://github.com/WEC-Sim/WEC-Sim/pull/1134</li>
<li>Updating WEC-Sim tests for dev branch by @kmruehl in https://github.com/WEC-Sim/WEC-Sim/pull/1142</li>
</ul>
<h2>Bug Fixes</h2>
<ul>
<li>Remove fixed mass option by @akeeste in https://github.com/WEC-Sim/WEC-Sim/pull/856</li>
<li>Move run('stopWecSim') to wecSim.m by @jtgrasb in https://github.com/WEC-Sim/WEC-Sim/pull/885</li>
<li>Pull bug fixes into dev by @akeeste in https://github.com/WEC-Sim/WEC-Sim/pull/900</li>
<li>Save slx files in 2020b fixes #920 by @jtgrasb in https://github.com/WEC-Sim/WEC-Sim/pull/923</li>
<li>Fix readCAPYTAINE by @jtgrasb in https://github.com/WEC-Sim/WEC-Sim/pull/884</li>
<li>Fixes saveViz feature for elevation import by @jtgrasb in https://github.com/WEC-Sim/WEC-Sim/pull/929</li>
<li>Fix wave elevation import with rampTime = 0 by @jtgrasb in https://github.com/WEC-Sim/WEC-Sim/pull/917</li>
<li>readCapytaine_fixes_for_reading_dataformats_correctly by @salhus in https://github.com/WEC-Sim/WEC-Sim/pull/947</li>
<li>Pull #954 into dev by @akeeste in https://github.com/WEC-Sim/WEC-Sim/pull/955</li>
<li>Bug fix for direction in readCapytaine by @akeeste in https://github.com/WEC-Sim/WEC-Sim/pull/999</li>
<li>Fix sign bug reported on issue #993 by @jleonqu in https://github.com/WEC-Sim/WEC-Sim/pull/1002</li>
<li>Dev: reverts PR 910, fixing error in nonLinearBuoyancy by @dforbush2 in https://github.com/WEC-Sim/WEC-Sim/pull/1017</li>
<li>Fix the transpose of linear restoring matrix to make roll mode rows to be 0 by @salhus in https://github.com/WEC-Sim/WEC-Sim/pull/1032</li>
<li>Bugfix resolving documentation build error by @kmruehl in https://github.com/WEC-Sim/WEC-Sim/pull/1059</li>
<li>fix_readWAMIT_and_writeBEMIOh5 by @salhus in https://github.com/WEC-Sim/WEC-Sim/pull/1065</li>
<li>Pulling master bugfixes into dev by @kmruehl in https://github.com/WEC-Sim/WEC-Sim/pull/1101</li>
<li>Bug fixes for v6.0 by @akeeste in https://github.com/WEC-Sim/WEC-Sim/pull/1136</li>
<li>Path fix for BEMIO example by @akeeste in https://github.com/WEC-Sim/WEC-Sim/pull/1144</li>
</ul>
<h2>New Contributors</h2>
<ul>
<li>@JiaMiGit made their first contribution in https://github.com/WEC-Sim/WEC-Sim/pull/931</li>
<li>@agmoore4 made their first contribution in https://github.com/WEC-Sim/WEC-Sim/pull/1081</li>
<li>@RyanDavies19 made their first contribution in https://github.com/WEC-Sim/WEC-Sim/pull/1134</li>
</ul>
<h2>Issues and Pull Reqeusts</h2>
<ul>
<li>>130 issues closed since v5.0.1</li>
<li>>74 PRs merged since v5.0.1</li>
<li><strong>v6.0 Changelog</strong>: https://github.com/WEC-Sim/WEC-Sim/compare/v5.0.1...v6.0</li>
</ul>
A simple disc wind model for broad absorption line quasars
Approximately 20 per cent of quasi-stellar objects (QSOs) exhibit broad, blue-shifted absorption lines in their ultraviolet spectra. Such features provide clear evidence for significant outflows from these systems, most likely in the form of accretion disc winds. These winds may represent the ‘quasar’ mode of feedback that is often invoked in galaxy formation/evolution models, and they are also key to unification scenarios for active galactic nuclei (AGN) and QSOs. To test these ideas, we construct a simple benchmark model of an equatorial, biconical accretion disc wind in a QSO and use a Monte Carlo ionization/radiative transfer code to calculate the ultraviolet spectra as a function of viewing angle. We find that for plausible outflow parameters, sightlines looking directly into the wind cone do produce broad, blue-shifted absorption features in the transitions typically seen in broad absorption line (BAL) QSOs. However, our benchmark model is intrinsically X-ray weak in order to prevent overionization of the outflow, and the wind does not yet produce collisionally excited line emission at the level observed in non-BAL QSOs. As a first step towards addressing these shortcomings, we discuss the sensitivity of our results to changes in the assumed X-ray luminosity and mass-loss rate, Ṁwind. In the context of our adopted geometry, Ṁwind ∼ Ṁacc is required in order to produce significant BAL features. The kinetic luminosity and momentum carried by such outflows would be sufficient to provide significant feedback
Suberites chujaensis Kim & Sim 2021, n. sp.
5. Suberites chujaensis n. sp. (Fig. 6) êöīfiƎḁḍ(ṳḋ) Type specimen. Holotype (NIBRIV0000879328), Korea: Chujado, Chuja-myeon, Jeju-si, Jeju-do, 9 Oct 2012, Kim HS, by SCUBA, depth 25 m, deposited in NIBR. Description. Thick, irregular elliptical mass sponge, size up to 13 × 6 × 2.5 cm. Surface with numerous protruding small bumps, not papillae. Oscules open on the surface, 1-2 mm in diameter. Color in life orange red. Texture firm and incompressible. Skeleton: Irregular arrangement of spicules mixed with dense collagen. Tylostyles, 500-700 μm and long tylostyles, partly curved or flexuous shape. Etymology. The species name, chujaensis, is named after the type locality of Chujado, Jeju-si, Jeju-do. Remarks. The plate-like shape of this new species is similar to Suberites hataedoensis Shim and Sim 2008, but differs in thickness of sponge body and roughness of surface. S. hataedoensis has numerous oscules at the surface and the body thickness is less than the new species.Published as part of Kim, Young A & Sim, Chung Ja, 2021, Ten new species of families Suberitidae and Polymastiidae (Demospongia: Heteroscleromorpha) from Korea, pp. 168-183 in Journal of Species Research 10 (2) on pages 172-173, DOI: 10.12651/JSR.2021.10.2.168, http://zenodo.org/record/812001
Suberites rugosa Kim & Sim 2021, n. sp.
6. Suberites rugosa n. sp. (Fig. 7) ēōīfiƎḁḍ(ṳḋ) Type specimen. Holotype (NIBRIV0000881727), Korea: Sasudo, Chuja-myeon, Jeju-si, Jeju-do, 2 Jun 2013, by SCUBA, depth 30-35 m, deposited in NIBR. Description. Round or cushion shape sponge, size up to 9 × 6 × 4 cm. Surface, not smooth due to thin wrinkles and bundle of spicules with spongin membrane. Oscules open on the top of the surface, 2-3 mm in diameter. Color in life grayish red. Texture firm. Skeleton: Large and small tylostyles are not easily differentiated. Spicules in choanosomal skeleton arranged irregularly. Sponge has heavy collagen and spicules are not easily separated. Large tylostyles, 650-800 × 5-10 μm and small tylostyles, 150-250-400 × 5 μm. Etymology. The species name, rugosa, is named after the shape of sponge with wrinkles on the surface. Remarks. This new species is similar to Suberites waedoensis Shim and Sim 2008 in sponge shape and spicules composition, but differs in surface, texture and color. This new species has grayish red color, and texture firm with extremely rough surface.Published as part of Kim, Young A & Sim, Chung Ja, 2021, Ten new species of families Suberitidae and Polymastiidae (Demospongia: Heteroscleromorpha) from Korea, pp. 168-183 in Journal of Species Research 10 (2) on page 175, DOI: 10.12651/JSR.2021.10.2.168, http://zenodo.org/record/812001
BLGAN: Bayesian Learning and Genetic Algorithm for Supporting Negotiation With Incomplete Information
Automated negotiation provides a means for resolving
differences among interacting agents. For negotiation with
complete information, this paper provides mathematical proofs
to show that an agent’s optimal strategy can be computed using
its opponent’s reserve price (RP) and deadline. The impetus of
this work is using the synergy of Bayesian learning (BL) and
genetic algorithm (GA) to determine an agent’s optimal strategy
in negotiation (N) with incomplete information. BLGAN adopts:
1) BL and a deadline-estimation process for estimating an opponent’s
RP and deadline and 2) GA for generating a proposal
at each negotiation round. Learning the RP and deadline of an
opponent enables the GA in BLGAN to reduce the size of its search
space (SP) by adaptively focusing its search on a specific region
in the space of all possible proposals. SP is dynamically defined
as a region around an agent’s proposal P at each negotiation
round. P is generated using the agent’s optimal strategy determined
using its estimations of its opponent’s RP and deadline.
Hence, the GA in BLGAN is more likely to generate proposals
that are closer to the proposal generated by the optimal strategy.
Using GA to search around a proposal generated by its current
strategy, an agent in BLGAN compensates for possible errors in
estimating its opponent’s RP and deadline. Empirical results show
that agents adopting BLGAN reached agreements successfully,
and achieved: 1) higher utilities and better combined negotiation
outcomes (CNOs) than agents that only adopt GA to generate their
proposals, 2) higher utilities than agents that adopt BL to learn
only RP, and 3) higher utilities and better CNOs than agents that
do not learn their opponents’ RPs and deadlines
Pseudosuberites youngilensis Kim & Sim 2021, n. sp.
3. Pseudosuberites youngilensis n. sp. (Figs. 3, 4) šëffiīfiƎḁḍ (ṳḋ) Suberites ficus; Tanita S., 1965: 95-97. Kim, Rho and Sim, 1968: 40, pl. 2, fig. 9, text-fig. 10. Rho, Kim and Sim, 1969: 156, pl. 2, fig. 7. Type specimen. Holotype (NIBRIV0000879327), Korea: Yeongilman, Guman-ri, Homigot-myeon, Pohang-si, Gyeongsangbuk-do, 25 July 1967, Rho BJ, by fishing net, deposited in NIBR. Description. Irregular elliptical mass sponge, size up to 9 × 4.5 × 3 cm. Upper surface with lobate projections and underside smooth with a large hole, 1.5 × 1 cm in diameter. Pagurus pectinatus, a crustacean (hermit crab), resides in the hole. Oscules rare, 0.7-1 mm in diameter. Color in life orange red. Texture firm and compressible. Skeleton: Small tylostyles and microrhabds arranged tangentially at the surface. Large tylostyles showed at subsurface (Fig. 3C). Mostly small and large tylostrongyles appeared at the underside of the sponge near the hole (Fig. 4B). Numerous microrhabds appear at inside wall of the sponge hole. Spicules. Tylostrongyles, 70- 110-350 × 5-15 μm and tylostyles, 110-340 × 8-10 μm. Microrhabds, 20-35 μm. Etymology. The species name, youngilensis, is named after the type locality of Youngilman, Gyeongsangbuk-do. Remarks. This new species is easily distinguished from Suberites ficus Johnston (1842) in shape and spicules. Suberites ficus has a pear shape, surface even, without hole containing hermit crab, and also spicules without microscleres. This new species is not sessile, but independent because no part is attached to the substrate. There is no trace of any kind of shell in and out of the sponge. Tanita (1965) observed that specimens occupied by hermit crabs are very rare, however, most of our specimens contained hermit crabs in the underside hole. Lobate projection of the upper part of sponge is variable, some few large lobes or many small lobes.Published as part of Kim, Young A & Sim, Chung Ja, 2021, Ten new species of families Suberitidae and Polymastiidae (Demospongia: Heteroscleromorpha) from Korea, pp. 168-183 in Journal of Species Research 10 (2) on page 169, DOI: 10.12651/JSR.2021.10.2.168, http://zenodo.org/record/812001
EFFETTI DEL TRASFERIMENTO INTRAMUSCOLARE DEL GENE VEGF165 MEDIANTE VETTORI VIRALI ADENO-ASSOCIATI (AAV) SU LEMBI ADDOMINALI PERFORANTI DEL RATTO
Evolving Fuzzy Rules for Relaxed-Criteria Negotiation
In the literature on automated negotiation, very few negotiation agents are designed with the flexibility to slightly relax their negotiation criteria to reach a consensus more rapidly and with more certainty. Furthermore, these relaxed-criteria negotiation agents were not equipped with the ability to enhance their performance by learning and evolving their relaxed-criteria negotiation rules. The impetus of this work is designing market-driven negotiation agents (MDAs) that not only have the flexibility of relaxing bargaining criteria using fuzzy rules, but can also evolve their structures by learning new relaxed-criteria fuzzy rules to improve their negotiation outcomes as they participate in negotiations in more e-markets. To this end, an evolutionary algorithm for adapting and evolving relaxed-criteria fuzzy rules was developed. Implementing the idea in a testbed, two kinds of experiments for evaluating and comparing EvEMDAs (MDAs with relaxed-criteria rules that are evolved using the evolutionary algorithm) and EMDAs (MDAs with relaxed-criteria rules that are manually constructed) were carried out through stochastic simulations. Empirical results show that: 1) EvEMDAs generally outperformed EMDAs in different types of e-markets and 2) the negotiation outcomes of EvEMDAs generally improved as they negotiated in more e-markets
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