Book Review - Communication Skills in Pharmacy Practice: A Practical Guide for Students and Practitioners

Communication Skills in Pharmacy Practice: A Practical Guide for Students and Practitioners (5th Edition) By Wiliam N Tindall, Robert S Beardsly and Carole L Kimberlin 2011, 242 pages, Lippincott Williams & Wilkin

Whose Side are Ethics Codes On? Power, Responsibility and the Social Good

The moral authority of ethics codes stems from an assumption that they serve a unified society, yet this ignores the political aspects of any shared resource. The sociologist Howard S. Becker challenged researchers to clarify their power and responsibility in the classic essay: Whose Side Are We On. Building on Becker's hierarchy of credibility, we report on a critical discourse analysis of data ethics codes and emerging conceptualizations of beneficence, or the "social good", of data technology. The analysis revealed that ethics codes from corporations and professional associations conflated consumers with society and were largely silent on agency. Interviews with community organizers about social change in the digital era supplement the analysis, surfacing the limits of technical solutions to concerns of marginalized communities. Given evidence that highlights the gulf between the documents and lived experiences, we argue that ethics codes that elevate consumers may simultaneously subordinate the needs of vulnerable populations. Understanding contested digital resources is central to the emerging field of public interest technology. We introduce the concept of digital differential vulnerability to explain disproportionate exposures to harm within data technology and suggest recommendations for future ethics codes.Comment: Conference on Fairness, Accountability, and Transparency (FAT* '20), January 27-30, 2020, Barcelona, Spain. Correcte

A MEC-based Extended Virtual Sensing for Automotive Services

Multi-access edge computing (MEC) comes with the promise of enabling low-latency applications and of reducing core network load by offloading traffic to edge service instances. Recent standardization efforts, among which the ETSI MEC, have brought about detailed architectures for the MEC. Leveraging the ETSI model, in this paper we first present a flexible, yet full-fledged, MEC architecture that is compliant with the standard specifications. We then use such architecture, along with the popular OpenAir Interface (OAI), for the support of automotive services with very tight latency requirements. We focus in particular on the Extended Virtual Sensing (EVS) services, which aim at enhancing the sensor measurements aboard vehicles with the data collected by the network infrastructure, and exploit this information to achieve better safety and improved passengers/driver comfort. For the sake of concreteness, we select the intersection control as an EVS service and present its design and implementation within the MEC platform. Experimental measurements obtained through our testbed show the excellent performance of the MEC EVS service against its equivalent cloud-based implementation, proving the need for MEC to support critical automotive services, as well as the benefits of the solution we designed.This work was supported by the European Commission through the H2020 5G-TRANSFORMER project (Project ID 761536). The work of Christian Vitale was also supported by the European Union’s Horizon 2020 Research and Innovation Programme under Grant 739551 (KIOS CoE) and from the Republic of Cyprus through the Directorate General for Euro-pean Programmes, Coordination, and Development

A MEC-based Extended Virtual Sensing for Automotive Services

Multi-access edge computing (MEC) comes with the promise of enabling low-latency applications and of reducing core network load by offloading traffic to edge service instances. Recent standardization efforts, among which the ETSI MEC, have brought about detailed architectures for the MEC. Leveraging the ETSI model, in this paper we first present a flexible, yet full-fledged, MEC architecture that is compliant with the standard specifications. We then use such architecture, along with the popular OpenAir Interface (OAI), for the support of automotive services with very tight latency requirements. We focus in particular on the Extended Virtual Sensing (EVS) services, which aim at enhancing the sensor measurements aboard vehicles with the data collected by the network infrastructure, and exploit this information to achieve better safety and improved passengers/driver comfort. For the sake of concreteness, we select the intersection control as an EVS service and present its design and implementation within the MEC platform. Experimental measurements obtained through our testbed show the excellent performance of the MEC EVS service against its equivalent cloud-based implementation, proving the need for MEC to support critical automotive services, as well as the benefits of the solution we designed.This work was supported by the European Commission through the H2020 5G-TRANSFORMER project (Project ID 761536). The work of Christian Vitale was also supported by the European Union’s Horizon 2020 Research and Innovation Programme under Grant 739551 (KIOS CoE) and from the Republic of Cyprus through the Directorate General for Euro-pean Programmes, Coordination, and Development

From Farm to Kitchen : How gender affects production diversity and the dietary intake of farm households in Ethiopia

Open Access via the Wiley Jisc Open Access Agreement. We would like to acknowledge the World Bank LSMS-ISA and Central Statistical Authority (CSA) of Ethiopia for making these data available for the public and Macaulay Development Trust (MDT) for the financial support. Euan Phimister also acknowledges support under the ESRC NEXUS programme in project IEAS/POO2501/1, Improving organic resource use in rural Ethiopia (IPORE). Deborah Roberts acknowledges the support of funding from the Scottish Government's Rural and Environment Science and Analytical Services Division(RESAS). Our thanks are also due to anonymous reviewers for their constructive comments on earlier versions of the paper.Peer reviewedPublisher PD

Saving Social Media Data: Understanding Data Management Practices Among Social Media Researchers and their Implications for Archives

Social media data offer researchers new opportunities to leverage those data for their work in broad areas such as public opinion, digital culture, labor trends, and public health. Success of efforts to save social media data for reuse by researchers will depend on aligning data management and archiving practices with evolving norms around capture, use, sharing, and security of datasets containing this new type of data. This paper presents an initial foray into understanding how established practices for managing and preserving data should adapt to new demands from social media data, researchers who use and reuse social media data, and people who are subjects in social media data. We examine the data management practices of researchers who use social media data through a survey and an analysis of published articles. We discuss the data management practices described, how they differ from management of more conventional data types, and the implications for creating and maintaining stable archives for these important research resources. We discuss the similarities and differences between social media data and other types of social science research data, including other types of “found” data, and discuss the implications for data archives including social media data in their collections.National Science FoundationInstitute of Museum and Library Serviceshttps://deepblue.lib.umich.edu/bitstream/2027.42/154750/1/Hemphill Leonard Hedstrom JASIST pre-peer review.pdf1550Description of Hemphill Leonard Hedstrom JASIST pre-peer review.pdf : Pre-peer review articl