1,722 research outputs found
Four-body Semileptonic Charm Decays Based on SU(3) Flavor Analysis
Motivated by the significant experimental progress in probing semileptonic
decays , we analyze the branching
ratios of the decays with the non-resonant, the
light scalar meson resonant and the vector meson resonant contributions in this
work. We obtain the hadronic amplitude relations between different decay modes
by the SU(3) flavor analysis, and then predict relevant branching ratios of the
decays by the present experimental data with errors. Most of our predicted branching ratios are consistent with
present experimental data within error bars, and others are
consistent with the data within error bars. We find that some
branching ratios of the non-resonant decays are on the order of
, the vector meson resonant contributions are
dominant in many decays, the non-resonant, the vector meson resonant and the
scalar resonant contributions are all important in the
decays, and both the non-resonant and the
scalar resonant contributions are important in the and
decays. According to our predictions, many decay modes could be observed in the
experiments like BESIII, LHCb and BelleII, and some decay modes might be
measured in these experiments in near future.Comment: 24 pages, 1 figur
MoVQA: A Benchmark of Versatile Question-Answering for Long-Form Movie Understanding
While several long-form VideoQA datasets have been introduced, the length of
both videos used to curate questions and sub-clips of clues leveraged to answer
those questions have not yet reached the criteria for genuine long-form video
understanding. Moreover, their QAs are unduly narrow and modality-biased,
lacking a wider view of understanding long-term video content with rich
dynamics and complex narratives. To remedy this, we introduce MoVQA, a
long-form movie question-answering dataset, and benchmark to assess the diverse
cognitive capabilities of multimodal systems rely on multi-level temporal
lengths, with considering both video length and clue length. Additionally, to
take a step towards human-level understanding in long-form video, versatile and
multimodal question-answering is designed from the moviegoer-perspective to
assess the model capabilities on various perceptual and cognitive axes.Through
analysis involving various baselines reveals a consistent trend: the
performance of all methods significantly deteriorate with increasing video and
clue length. Meanwhile, our established baseline method has shown some
improvements, but there is still ample scope for enhancement on our challenging
MoVQA dataset. We expect our MoVQA to provide a new perspective and encourage
inspiring works on long-form video understanding research
{N′-[(2-Oxidonaphthalen-1-yl)methylÂidene]benzohydrazidato}(1,10-phenanthroline)copper(II) methanol monosolvate
The title mononuclear complex, [Cu(C18H12N2O2)(C12H8N2)]·CH3OH, contains one N′-[(2-oxidonaphthalen-1-yl)methylÂidene]benzohydrazidate ligand (L
2−), a Cu2+ cation, one 1,10-phenanthroline ligand and a methanol solvent molÂecule. The CuII ion adopts a CuO2N3 distorted square-pyramidal coordination. An O—H⋯O hydrogen bond is formed between the methanol solvent molÂecule and the hydrazide O atom of the L
2− ligand
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