16,315 research outputs found

    Hopf Structures on Ambiskew Polynomial Rings

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    We derive necessary and sufficient conditions for an ambiskew polynomial ring to have a Hopf algebra structure of a certain type. This construction generalizes many known Hopf algebras, for example U(sl2), U_q(sl2) and the enveloping algebra of the 3-dimensional Heisenberg Lie algebra. In a torsion-free case we describe the finite-dimensional simple modules, in particular their dimensions and prove a Clebsch-Gordan decomposition theorem for the tensor product of two simple modules. We construct a Casimir type operator and prove that any finite-dimensional weight module is semisimple.Comment: 23 page

    Evaluating cultural competency and patient satisfaction in an urban dermatology clinic.

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    Cultural competency continues to gain increased attention in medicine. Not only does it play a significant role in the delivery of health care and patient outcomes, but it also remains a major determinant of patient satisfaction. This study investigated how patients in an urban dermatology clinic rated their satisfaction with cultural competency. Compared to White patients, satisfaction scores were greater for Hispanic or Latino patients and less for Asian patients, while there was no significant difference for Black or African American patients. There were clear differences in patient satisfaction rates of various dimensions of cultural competency. A follow-up study with a larger sample size is needed for closer examination into the conclusions

    Extragenital Blaschkoid lichen sclerosus et atrophicus in a child

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    Lichen sclerosus et atrophicus is a chronic inflammatory skin disease that typically affects prepubertal girls and peri- or post-menopausal women in genital and perineal areas. In some cases, it can also manifest as extragenital lesions. Extragenital Blaschkoid lesions have infrequently been reported. Here, we report a case of extragenital Blaschkoid lichen sclerosus et atrophicus in a child

    Psoriasiform Sarcoidosis Presenting in Pregnancy and Treatment Considerations

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    Cutaneous sarcoidosis is a common presentation for patients with sarcoidosis. Rarely, patients can present with psoriasiform lesions mimicking chronic plaque psoriasis. Here, we present a case of psoriasiform sarcoidosis in a pregnant patient. Pregnancy represents a unique challenge to systemic treatments if topical management fails. Tumor necrosis factor alpha inhibitors warrant special consideration during pregnancy

    Considerations for the use of medical devices in dermatology.

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    This manuscript addresses the significant considerations concerning the development and use of medical devices in dermatology. With the rapidly growing demand and booming market for medical devices, especially lasers, it is crucial that dermatologists become familiar with the nuances associated with supporting clinical studies, consumer-driven marketing strategies, and the complex relationships that exist between physicians, industry, and consumers. An examination of these relationships includes an overview of the potential biases pertaining to advisory panels and treating clinicians. The aim of this paper is to serve as an introduction to the background of medical devices and to offer dermatologists important information on what should be considered before recommending treatment

    Partial Transfer Learning with Selective Adversarial Networks

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    Adversarial learning has been successfully embedded into deep networks to learn transferable features, which reduce distribution discrepancy between the source and target domains. Existing domain adversarial networks assume fully shared label space across domains. In the presence of big data, there is strong motivation of transferring both classification and representation models from existing big domains to unknown small domains. This paper introduces partial transfer learning, which relaxes the shared label space assumption to that the target label space is only a subspace of the source label space. Previous methods typically match the whole source domain to the target domain, which are prone to negative transfer for the partial transfer problem. We present Selective Adversarial Network (SAN), which simultaneously circumvents negative transfer by selecting out the outlier source classes and promotes positive transfer by maximally matching the data distributions in the shared label space. Experiments demonstrate that our models exceed state-of-the-art results for partial transfer learning tasks on several benchmark datasets
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