microRNAs (miRNAs) are evolutionarily conserved, endogenous, small, noncoding RNA molecules of approximately 22 nucleotides in length that function as post-transcriptional gene regulators. Their aberrant expression may be involved in human diseases, including cancer. Although miRNA-184 (miR-184) has been reported in other tumors, its function in renal cell carcinoma (RCC) is still unknown. The ...

Ovarian clear cell carcinoma (OCCC) is a rare subtype of epithelial ovarian with poor prognosis in advanced stages and recurrent disease. Recent literature on outcomes clinical practice for OCCC including stage (stage III IV) limited. A retrospective review patients treated at The Royal Marsden between March 2003 July 2022 was conducted. Demographic clinicopathologic factors were abstracted eva...

Introduction .............................................................................................................. 179 Signaling Methods ................................................................................................................................. 180 Signal Complexity and Patterns .........................................................................................

Factory, 184abstract representation, 21activation states, 64Adapter, 194AHM, 61, 63–68, 131–149, 203–206, 231AnchorId, 113AnchorValue, 113animation, 104API, 31architectural form, 84, 85atemporal composition, 63Atomic, 117 BaseInstantiation, 124Berlageenvironment, 7, 165, 177, 202–215, 221,222meta-DTD, 208Berners-Lee, 5, 73, 74, 91<...

An increase in the occurrence of potentially pathogenic Vibrio species is expected for waters in Northern Europe as a consequence of global warming. In this context, a higher incidence of Vibrio infections is predicted for the future and forecasts suggest that people visiting and living at the Baltic Sea are at particular risk. This study aimed to investigate antimicrobial resistance patterns a...

A key issue in machine learning is the ability to cope with recognition problems where one or more classes are under-represented with respect to the others. Indeed, traditional algorithms fail under class imbalanced distribution resulting in low predictive accuracy over the minority classes. While large literature exists on binary imbalanced tasks, few researches exist for multiclass learning. ...

A combinatorial auction mechanism consists of an allocation rule that defines the allocation of goods for each agent, and a payment rule that defines the payment of each winner. There have been several studies on characterizing strategyproof allocation rules. In particular, a condition called weakmonotonicity has been identified as a full characterization of strategy-proof allocation rules. Mor...