Both external and internal stakeholders are asking companies and other institutions for transparency and compliance. To enforce compliance within their business processes, companies implement controls as the predominant approach to safeguard adherence to rules and regulations. Since modeling controls adequately is important, this contribution analyzes common business process modeling notations with regard to their capability to specify controls. First results show that BPMN 2.0 does not perfectly fit all requirements; however, it clearly outpaces the other languages.
Weaving together information spread over several public and private organizations is crucial for managing catastrophic events and for realizing resilient social infrastructures. While beneficial in emergencies, an unlimited access to (sensitive) data is usually defined as the worst case in any privacy or IT security scenario. As a solution to this tradeoff, the transferability of successful methods and tools known from business process and workflow management to rescue processes is discussed. The resulting framework as well as the identified research questions do not aim at generating "pure" technical security but at reducing the probability of misuse and, thus, providing a sound technical basis for a social discussion on resilient infrastructures.
Ependymomas are usually benign tumors of the central nervous system that derive from the ependymal cells lining liquor-filled spaces. Myxopapillary ependymomas are a variant occurring almost exclusively in the region of the cauda equina. Histologically, these tumors are benign (WHO grade I). The following case describes the first reported spread of a spinal myxopapillary ependymoma into the internal auditory canal. The symptoms and diagnostic results are similar to other tumors of this location. There are no typical findings in the diagnostic imaging (CT, MRI). The extended middle cranial fossa approach was chosen for surgical treatment. Adjuvant radiotherapy is indicated in cases of incomplete resection or recurrence.
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