[Basalioma of the eyelid. Possibilities of diagnostic errors].
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Neural Machine Translation (NMT) model has become the mainstream technology in machine translation. The supervised neural machine translation model trains with abundant of sentence-level parallel corpora. But for low-resources language or dialect with no such corpus available, it is difficult to achieve good performance. Researchers began to focus on unsupervised neural machine translation (UNMT) that monolingual corpus as training data. UNMT need to construct the language model (LM) which learns semantic information from the monolingual corpus. This paper focuses on the pre-training of LM in unsupervised machine translation and proposes a pre-training method, NER-MLM (named entity recognition masked language model). Through performing NER, the proposed method can obtain better semantic information and language model parameters with better training results. In the unsupervised machine translation task, the BLEU scores on the WMT’16 English–French, English–German, data sets are 35.30, 27.30 respectively. To the best of our knowledge, this is the highest results in the field of UNMT reported so far.
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In Brief Purpose: To describe one center's experience with sentinel lymph node (SLN) biopsy in patients with eyelid and conjunctival malignancies performed with a smaller volume of technetium than was initially used and a small incision directly overlying the sentinel node(s). Methods: A noncomparative interventional case series of 13 patients with clinically negative regional lymph nodes who underwent SLN biopsy for eyelid or conjunctival malignancies at The University of Texas M. D. Anderson Cancer Center between May 2002 and July 2003. Preoperative lymphoscintigraphy was performed with an injection of 0.3 mCi of technetium Tc-99m sulfur colloid in a volume of 0.2 mL. Images were taken as soon as the first SLN was detected through the gamma camera. Intraoperative mapping was performed with the same volume and concentration of technetium Tc-99m sulfur colloid along with an injection of isosulfan blue dye. Results: Five patients had conjunctival melanoma, 6 had sebaceous cell carcinoma of the eyelid, and 2 had eyelid melanoma. SLN(s) were identified in all patients. In 12 patients, more than 1 SLN was identified. During surgery, no SLNs were blue. One patient with conjunctival melanoma had an SLN that was positive on histologic examination. There were no ocular or extraocular complications from the procedure except for mild temporary weakness of the marginal mandibular branch of the facial nerve in 2 patients that resolved completely within 4 to 6 weeks and without any further intervention. None of the patients had permanent blue tattooing of the conjunctival surface or eyelid skin. Conclusions: Our experience suggests that lymphoscintigraphy and SLN biopsy with a small volume of technetium Tc-99m sulfur colloid and small incisions, even without the use of the blue dye, can identify SLNs in patients with conjunctival and eyelid malignancies, and can be performed safely. Sentinel node biopsy for conjunctival and eyelid malignancies can identify histologically positive regional nodes, thus improving the accuracy of staging and possibly allowing for earlier treatment.
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Liu, Catherine Y. M.D., Ph.D.; Samimi, David B. M.D.; Tao, Jeremiah P. M.D., F.A.C.S. Author Information
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The nationally-recognized Susquehanna
Chorale will delight audiences of all
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performances have been described
as AÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂA¢AÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂemotionally unfiltered, honest
music making, successful in their
aim to make the audience feel,
to be moved, to be part of the
performance - and all this while
working at an extremely high
musical level.AÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂA¢AÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂAÂA Experience choral
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