A survey of machine learning techniques applied to self organizing cellular networks

In this paper, a survey of the literature of the past fifteen years involving Machine Learning (ML) algorithms applied to self organizing cellular networks is performed. In order for future networks to overcome the current limitations and address the issues of current cellular systems, it is clear that more intelligence needs to be deployed, so that a fully autonomous and flexible network can be enabled. This paper focuses on the learning perspective of Self Organizing Networks (SON) solutions and provides, not only an overview of the most common ML techniques encountered in cellular networks, but also manages to classify each paper in terms of its learning solution, while also giving some examples. The authors also classify each paper in terms of its self-organizing use-case and discuss how each proposed solution performed. In addition, a comparison between the most commonly found ML algorithms in terms of certain SON metrics is performed and general guidelines on when to choose each ML algorithm for each SON function are proposed. Lastly, this work also provides future research directions and new paradigms that the use of more robust and intelligent algorithms, together with data gathered by operators, can bring to the cellular networks domain and fully enable the concept of SON in the near future

Clinical handover of patients between nurses in the emergency department and somatic wards – an explorative interview study.

Master's thesis in Health and social sciencesBackground: Leading international health organizations have focused on improving the quality of clinical handovers. Research demonstrates areas for improvement where clinical handovers in healthcare are essential for quality, safety, and continuity of patient care. One hospital had received many incident reports about the quality of interdepartmental handovers between the Emergency Department and somatic wards, and wanted to improve them. Aim: The aim of this study was to explore how clinical handovers are experienced between the ED and ward nurses, and gather suggestions for improvement. Method: This study pursued a qualitative, inductive, explorative approach with 6 focus group interviews of nurses (N=19) on both ends of the ED-Ward handover (2 ED, 1 surgical, 3 medical). The interdepartmental handover is by telephone from ED to ward nurses. Graneheim and Lundman’s (2004) content analysis method was used to analyze interview texts. Rasmussen’s system approach and Dynamic Safety Model formed the theoretical basis for interpretation. Results: Four bodies of data emerged from the interviews: Poor handovers and Successful handovers from ED or Wards’ perspectives. Poor handovers occurred in a busy ED without handover structure where efficiency trumps quality causing consequences for nurses and patients on the wards. Nursing assessments and documentation lacked, and patients’ status upon arrival on wards didn’t always match the handover description. Successful handovers were described as bridging needs of patients and nurses. Conclusion: The results provide evidence for improving the interdepartmental handover but will take organizational buy-in and collaboration over time to develop and implement evidence-based, locally suitable handover routines and protocols

Observance of the Rights of Sex Workers to Obtain Health Care: Monitoring of Human Rights in Medical Institutions in Osh City in the Kyrgyz Republic

Offers a legal analysis of patients' rights and reports on their violation in cases of sex workers in the Kyrgyz Republic, including denial of emergency care due to stigmatization and discrimination. Makes recommendations

Analysis of interdependencies within the fire fighting function on an offshore platform

Recent accidents such as the Macondo blowout actualize the issue of offshore safety. Accidents do occur in spite of actions taken to prevent them from happening. The energy-barrier philosophy is the governing principle within the Norwegian offshore industry. The paradox with that philosophy is that the construction of additional barriers may increase complexity within the system. Risk may be seen as an emerging property of complex systems, yet little attention is paid to complex interactions in barrier systems. The Petroleum Safety Authority Norway (PSA) has therefore raised the matter of dependencies within barrier systems during 2013 to increase awareness of their implications. The governing energy-barrier philosophy relies on linear reasoning and does therefore not provide tools for the interpretation of complex and non-linear interactions. Hence the purpose of this thesis is to apply a different method to interpret interdependencies in a barrier system on an offshore platform and then evaluate the application of that method. The purpose is also to see if the PSA prioritizes an essential issue