mystic poems, poems of enlightment

Mystic Poems, Poems of Enlightment

POEMS syndrome.

POEMS syndrome is a rare paraneoplastic syndrome secondary to a plasma cell dyscrasia. Recognition of the complex of a combination of peripheral neuropathy, organomegaly, endocrinopathy, monoclonal plasmaproliferative disorder, skin changes, papilledema, extravascular volume overload (peripheral edema, pleural effusions, ascites), sclerotic bone lesions, thrombocytosis, Castleman disease is the...

POEMS syndrome.

POEMS syndrome is the syndrome of Polyneuropathy, Organomegaly, Endocrinopathy, Monoclonal protein and typical Skin changes. A 65-year-old lady presented with the 2-day-history of inability to walk, 4-month-history of progressive worsening of muscle weakness of both lower limbs and 1-year-history of progressive worsening of bilateral numbness of lower limbs. Nerve conduction study revealed gene...

Chylothorax in POEMS syndrome.

Chylothorax results from various causes, such as malignancy, trauma, or infection. POEMS syndrome (polyneuropathy, organomegaly, endocrinopathy, monoclonal gammopathy, and skin changes) is a multisystemic syndrome that is associated with plasma cell disorder. Pleural effusion is a common manifestation of POEMS syndrome, but the association of POEMS syndrome with chylothorax has not been reporte...

POEMS SYNDROME: an Update

POEMS syndrome is a rare, chronic and disabling condition. The causes of this condition remain unknown; however, chronic overproduction of proinflammatory cytokines appears to be a major contributor. Early diagnosis is essential to start treatment before the clinical state of the patient becomes compromised. A complete evaluation of the disease at its onset is critical to the treatment decision...

Recognition of Modern Arabic Poems

We propose a machine learning method for recognizing modern Arabic poems based on the common poetic features of modern Arabic poetry. The poetic features include: rhyming, repetition, use of diacritics and punctuations, and text alignment. The method can classify text documents as poem or non-poem documents with a very high accuracy of 99.81%.