Visible organisational boundaries and the invisible boundaries of the scholarly profession

The role of universities in knowledge production has changed. Although most higher learning still takes place in universities, knowledge is increasingly produced in collaborative networks comprising partners from different sectors (Välimaa, J., V. Papatsiba, and D. M. Hoffman. 2016. “Higher Education in Networked Knowledge Societies.” In Re-becoming Universities, The Changing Academy – The Changing Academic Profession in International Comparative Perspective. Vol. 15, edited by D. M. Hoffman and J. Välimaa, 13–39. Dordrecht: Springer). In addition, the focus of universities’ personnel policies has shifted from supporting professional inclusion and exclusion towards supporting the national development of talent and human capital. New kinds of networks and collaborative arrangements have emerged to facilitate the mobility of academics between universities and other sectors. This paper draws upon survey data collected in 2017 from PhD graduates working in universities and the private and public sector in Finland, in order to explore their perceptions related to the relevance of their work, and their commitment to the organisation and the scientific community. We found some differences between the private sector, and the public sector and universities, and between disciplines. Between public sector and universities only small differences occurred. The results indicate that the research work between sectors is rather similar according to the indicators that were used, in some cases the differences might be more significant between disciplines.peerReviewe

A First Look at Quality of Mobile Live Streaming Experience: the Case of Periscope

Live multimedia streaming from mobile devices is rapidly gaining popularity but little is known about the QoE they provide. In this paper, we examine the Periscope service. We first crawl the service in order to understand its usage patterns. Then, we study the protocols used, the typical quality of experience indicators, such as playback smoothness and latency, video quality, and the energy consumption of the Android application

Root Cause Analysis for Long-Lived TCP Connections

While the applications using the Internet have changed over time, TCP is still the dominating transport protocol that carries over 90% of the total traffic. Throughput is the key performance metric for long TCP connections. The achieved throughput results from the aggregate effects of the network path, the parameters of the TCP end points, and the application on top of TCP. Finding out which of these factors is limiting the throughput of a TCP connection -- referred to as TCP root cause analysis -- is important for end users that want to understand the origins of their problems, ISPs that need to troubleshoot their network, and application designers that need to know how to interpret the performance of the application. In this paper, we revisit TCP root cause analysis by first demonstrating the weaknesses of a previously proposed flight-based approach. We next discuss in detail the different possible limitations and highlight the need to account for the application behavior during the analysis process. The main contribution of this paper is a new approach based on the analysis of time series extracted from packet traces. These time series allow for a quantitative assessment of the different causes with respect to the resulting throughput. We demonstrate the interest of our approach on a large BitTorrent dataset

InTraBase: Integrated Traffic Analysis Based on a Database Management System

Internet traffic analysis as a research area has attracted lots of interest over the last decade. The traffic data collected for analysis are usually stored in plain files and the analysis tools consist of customized scripts each tailored for a specific task. As data are often collected over a longer period of time or from different vantage points, it is important to keep metadata that describe the data collected. The use of separate files to store the data, the metadata, and the analysis scripts provides an abstraction that is much too primitive: The information that "glues" these different files together is not made explicit but is solely in the heads of the people involved in the activity. As a consequence, manipulating the data is very cumbersome, does not scale, and severely limits the way these data can be analyzed

Healthcare professionals' perceptions of the pre-requisites and realisation of interprofessional collaboration in cancer care

ObjectiveThe purpose of this study is to describe the pre‐requisites and realisation of interprofessional collaboration as perceived by healthcare professionals working in the cancer care setting and to produce knowledge to support the development of collaborative practices.MethodsThis study employed a descriptive survey design. The data were collected in one Finnish cancer centre between May and October 2018 from nurses, physicians and other healthcare professionals using an electronic survey (n = 350). The survey focused on the pre‐requisites of interprofessional collaboration (appreciation and competence) and its realisation in cancer care. The data were analysed using descriptive and interferential statistics.ResultsThe pre‐requisites of interprofessional collaboration were perceived as good and the collaboration was well realised in the cancer centre. The perceptions of pre‐requisites and realisation were associated with each other. Male respondents, physicians and professionals belonging to interprofessional teams had more positive perceptions of the pre‐requisites and realisation of interprofessional collaboration than others.ConclusionThe findings indicate that the pre‐requisites of interprofessional collaboration and its realisation seem to be well implemented in the cancer care setting. However, the ongoing evaluation of interprofessional collaboration requires further attention from healthcare administration and professionals to support the systematic development of collaborative practices.</p