Conjunctival blue nevus

The authors report a case of a conjunctival blue nevus and review the literature pertaining to these pigmented lesions in this location, describing clinical and histological report of a patient with a blue nevus of the palpebral conjunctiva with a literature review. A 64-year-old white female was evaluated for a darkening pigmented lesion of the left lower palpebral conjunctiva. Examination revealed a 3 mm x 6mm blue-black lesion with sharply demarcated edges and an irregular border. Histopa - thology showed plump spindle-shaped, pigmented melanocytic cells revealing a branching network of dendritic processes with small, elongated, and hyperchromatic nuclei consistent with a common blue nevus. No recurrence was noted at 9-month follow-up. Blue nevi of the conjunctiva are lesions that have a low risk for malignant transformation but can appear clinically similar to primary acquired melanosis or melanoma. Blue nevi of the conjunctiva are rare and represent 0.5%-3.0% of pigmented conjunctival lesions. There was one reported case in a literature search of a malignant melanoma arising from a conjunctival cellular blue nevus. Treatment is complete wide excisional biopsy

Once-for-All Sequence Compression for Self-Supervised Speech Models

The sequence length along the time axis is often the dominant factor of the computational cost of self-supervised speech models. Works have been proposed to reduce the sequence length for lowering the computational cost. However, different downstream tasks have different tolerance of sequence compressing, so a model that produces a fixed compressing rate may not fit all tasks. In this work, we introduce a once-for-all (OFA) sequence compression framework for self-supervised speech models that supports a continuous range of compressing rates. The framework is evaluated on various tasks, showing marginal degradation compared to the fixed compressing rate variants with a smooth performance-efficiency trade-off. We further explore adaptive compressing rate learning, demonstrating the ability to select task-specific preferred frame periods without needing a grid search.Comment: Submitted to ICASSP 202

Two-particle azimuthal correlations in e+e−e^+e^- collisions at 91--209 GeV with archived ALEPH data at LEP-2

We present the first measurement of two-particle angular correlations of charged particles produced in $e^+e^-$ annihilation up to $\sqrt{s}=$ 209 GeV. This analysis utilized the archived hadronic $e^+e^-$ data at center-of-mass energy between 91 and 209 GeV collected with the ALEPH detector at LEP between 1992 and 2000. The angular correlation functions are measured over a broad range of pseudorapidity and full azimuth as a function of charged particle multiplicity for the first time with LEP-2 data. At 91 GeV, no significant long-range correlation is observed in either the beam coordinate analysis or the thrust coordinate analysis, where the latter is sensitive to a medium expanding transverse to the color string between the outgoing $q\bar{q}$ pair from the Z boson decays. Results with $e^+e^-$ data at higher collision energy than 91 GeV, providing higher event multiplicity reach up to around 50, are presented for the first time. The thrust axis analysis shows a long-range near-side excess in the two-particle correlation function. We performed Fourier series decomposition of the two-particle correlation functions. In high multiplicity events with more than 50 particles, the extracted Fourier coefficients $v_2$ and $v_3$ magnitudes in data are larger than the MC reference.Comment: ICHEP2022 Proceeding

Data-driven extraction of the substructure of quark and gluon jets in proton-proton and heavy-ion collisions

The different modification of quark- and gluon-initiated jets in the quark-gluon plasma produced in heavy-ion collisions is a long-standing question that has not yet received a definitive answer from experiments. In particular, the relative sizes of the modification of quark and gluon jets differ between theoretical models. Therefore a fully data-driven technique is crucial for an unbiased extraction of the quark and gluon jet spectra and substructure. We perform a proof-of-concept study based on proton-proton and heavy-ion collision events from the PYQUEN generator with statistics accessible in Run 4 of the Large Hadron Collider. We use a statistical technique called topic modeling to separate quark and gluon contributions to jet observables. We demonstrate that jet substructure observables, such as the jet shape and jet fragmentation function, can be extracted using this data-driven method. These results suggest the potential for an experimental determination of quark and gluon jet spectra and their substructure