Unravelling the resilience of the KGK VI population from the Gumelnița site (Romania) through stable isotopes.

The Gumelnița site belongs to the Kodjadermen-Gumelnița-Karanovo VI (KGK VI) communities (c. 4700-3900 cal BC) and comprises the tell-type settlement and its corresponding cemetery. This paper reconstructs the diet and lifeways of the Chalcolithic people in the northeastern Balkans using archaeological remains found at the Gumelnița site (Romania).

Arteriovenous synovial hemangioma of the popliteal fossa diagnosed in an adolescent with history of unilateral congenital clubfoot: case report and a single-institution retrospective review.

Synovial hemangioma (SH) is a very rare soft tissue tumor; in our department, SH represented 0.07% from all soft tissue tumors (one case from 1311 soft tissue tumors), and 0.78% from all excised hemangiomas (one case from 128 hemangiomas) diagnosed over a five-year period.

Relationship of endothelial area with VEGF-A, COX-2, maspin, c-KIT, and DOG-1 immunoreactivity in liposarcomas versus non-lipomatous soft tissue tumors.

Soft tissue tumors are rare tumors that show a heterogeneous structure; thus far, their molecular behavior has not been elucidated. The aim of our study was to define the relationship between microvessel density (MVD), evaluated with CD31, and other immunohistochemical markers, such as vascular endothelial growth factor (VEGF), cyclooxygenase-2 (COX-2), CD34, maspin, DOG-1, and c-KIT. Immunostains were done in 55 cases consisting of benign and malignant tumors, such as liposarcomas, dermatofibrosarcomas, and tumors with histiocytic differentiation.

The immunohistochemical profile of granular cell (Abrikossoff) tumor suggests an endomesenchymal origin.

Granular cell tumor (GCT) is an uncommon soft tissue neoplasm which has an unclear histogenesis. The aim of this study was to analyze its immunophenotype and hypothesize on the histogenesis of GCT. A database of 2,250 soft tissue tumors was examined to identify and characterize the particularities of GCTs.

The truth will come to light: directions and challenges in extracting the knowledge embedded within trained artificial neural networks.

To date, the preponderance of techniques for eliciting the knowledge embedded in trained artificial neural networks (ANN's) has focused primarily on extracting rule-based explanations from feedforward ANN's. The ADT taxonomy for categorizing such techniques was proposed in 1995 to provide a basis for the systematic comparison of the different approaches. This paper shows that not only is this taxonomy applicable to a cross section of current techniques for extracting rules from trained feedforward ANN's but also how the taxonomy can be adapted and extended to embrace a broader range of ANN types (e.