Feasibility study to objectively assess activity and location of Hispanic preschoolers: a short communication

Abstract. Both physical and social environmental factors influence young children’s physical activity, yet little is known about where Hispanic children are more likely to be active. We assessed the feasibility of simultaneously measuring, then processing objective measures of location and physical activity among Hispanic preschool children. Preschool-aged Hispanic children (n = 15) simultaneously wore QStarz BT100X global positioning system (GPS) data loggers and Actigraph GT3X accelerometers for a 24- to 36-hour period, during which time their parents completed a location and travel diary. Data were aggregated to the minute and processed using the personal activity location measurement system (PALMS). Children successfully wore the GPS data loggers and accelerometers simultaneously, 12 of which yielded data that met quality standards. The average percent correspondence between GPS- and diary-based estimates of types of location was high and Kappa statistics were moderate to excellent, ranging from 0.49-0.99. The between method (GPS monitor, parent-reported diary) correlations of estimated participant-aggregated minutes spent on vehicle-based trips were strong. The simultaneous use of GPS and accelerometers to assess Hispanic preschool children’s location and physical activity is feasible. This methodology has the potential to provide more precise findings to inform environmental interventions and policy changes to promote physical activity among Hispanic preschool children.

Monitoring policy and actions on food environments: rationale and outline of the INFORMAS policy engagement and communication strategies

 The International Network for Food and Obesity/non-communicable diseases Research, Monitoring and Action Support (INFORMAS) proposes to collect performance indicators on food policies, actions and environments related to obesity and non-communicable diseases. This paper reviews existing communications strategies used for performance indicators and proposes the approach to be taken for INFORMAS. Twenty-seven scoring and rating tools were identified in various fields of public health including alcohol, tobacco, physical activity, infant feeding and food environments. These were compared based on the types of indicators used and how they were quantified, scoring methods, presentation and the communication and reporting strategies used. There are several implications of these analyses for INFORMAS: the ratings/benchmarking approach is very commonly used, presumably because it is an effective way to communicate progress and stimulate action, although this has not been formally evaluated; the tools used must be trustworthy, pragmatic and policy-relevant; multiple channels of communication will be needed; communications need to be tailored and targeted to decision-makers; data and methods should be freely accessible. The proposed communications strategy for INFORMAS has been built around these lessons to ensure that INFORMAS's outputs have the greatest chance of being used to improve food environments.

Communication and new media: From broadcast to narrowcast

Firmly grounded in a political economy approach, this new Canadian edition is an innovative introduction to media and communication that examines issues of ownership, access, and control as technologies combine to create new hybrid technologies that are changing the way we relate to each other and the world around us. Expertly adapted to meet the needs and interests of Canadian students, this text maintains a global perspective while integrating Canadian research, data, government policy and legislation, and examples throughout.

Classifying network traffic in the big data era

With the arrival of Big Data Era, properly utilizing the power of big data is becoming increasingly essential for the strength and competitiveness of businesses and organizations. We are facing grand challenges from big data from different perspectives, such as processing, communication, security, and privacy. In this talk, we discuss the big data challenges in network traffic classification and our solutions to the challenges. The significance of the research lies in the fact that each year the network traffic increase exponentially on the current Internet. Traffic classification has wide applications in network management, from security monitoring to quality of service measurements. Recent research tends to apply machine-learning techniques to flow statistical feature based classification methods. In this talk, we propose a series of novel approaches for traffic classification, which can improve the classification performance effectively by incorporating correlated information into the classification process. We analyze the new classification approaches and their performance benefit from both theoretical and empirical perspectives. A large number of experiments are carried out on two real-world traffic datasets to validate the proposed approach. The results show the traffic classification performance can be improved significantly even under the extreme difficult circumstance of very few training samples. Our work has significant impact on security applications.

Privacy protected data forwarding in human associated delay tolerant networks

Human associated delay-tolerant networks (HDTNs) are new networks for DTNs, where mobile devices are associated with humans and demonstrate social related communication characteristics. As most of recent works use real social trace files to study the date forwarding in HDTNs, the privacy protection becomes a serious issue. Traditional privacy protections need to keep the attributes semantics, such as data mining and information retrieval. However, in HDTNs, it is not necessary to keep these meaningful semantics. In this paper, instead, we propose to anonymize the original data by coding to preserve individual's privacy and apply Privacy Protected Data Forwarding (PPDF) model to select the top N nodes to perform the multicast. We use both MIT Reality and Infocom 06 datasets, which are human associated mobile network trace file, to simulate our model. The results of our simulations show that this method can achieve a high data forwarding performance while protect the nodes' privacy as well.

Anonymous data forwarding in human associated delay tolerant networks

Human associated delay-tolerant networks (HDTNs) are new networks for DTNs, where mobile devices are associated with humans and demonstrate social-related communication characteristics. As most of recent works use the social attributes to study the date forwarding in HDTNs and these attributes are critical for the data provider, how to use the anonymous attributes becomes a serious issue. In this paper, we propose a three-dimensional coordinate model by using the anonymous attributes to perform the data forwarding. We use MIT reality dataset, which is a human associated mobile network trace file, to simulate our model. The results of simulations show that the proposed model can use the anonymous attributes to achieve a high data forwarding performance.

Characterizing Twitter communication - a case study of international engineering academic units

Engineering academic units might engage with social media for a range of purposes including for general communication with students, staff, alumni, other important stakeholders and the wider community at large; for student recruitment and for marketing and promotion more generally. This paper presents an investigation into the use of Twitter by six engineering academic units internationally, using publicly available Twitter data over an 18-month period for analysis and visualization, to characterize the engagement by engineering academic units with one popular social media tool. Widely varying levels of activity were observed, from essentially undirected 'Megaphone' Tweeting, through to sustained and complex interactions with multiple external accounts. This work provides insights into how engineering academic units are using Twitter and how they might more effectively use the platform to achieve their individual objectives for institutional social media communications and marketing, and offers a methodology for future research. © 2014 © 2014 Taylor & Francis.

Turning Gigabytes into Gigs: “Songification” and Live Music Data

Complex data is challenging to understand when it is represented as written communication even when it is structured in a table. How- ever, choosing to represent data in creative ways can aid our under- standing of complex ideas and patterns. In this regard, the creative industries have a great deal to offer data-intensive scholarly disci- plines. Music, for example, is not often used to interpret data, yet the rhythmic nature of music lends itself to the representation and anal- ysis of temporal data.Taking the music industry as a case study, this paper explores how data about historical live music gigs can be analysed, extend- ed and re-presented to create new insights. Using a unique process called ‘songification’ we demonstrate how enhanced auditory data design can provide a medium for aural intuition. The case study also illustrates the benefits of an expanded and inclusive view of research; in which computation and communication, method and media, in combination enable us to explore the larger question of how we can employ technologies to produce, represent, analyse, deliver and exchange knowledge.

Pharmacists' interprofessional communication about medications in specialty hospital settings

Effective communication between pharmacists, doctors, and nurses about patients' medications is particularly important in specialty hospital settings where high-risk medications are frequently used. This article describes the nature of communication about medications that occurs between pharmacists and other health professionals, including doctors and nurses, in specialty hospital settings. Semistructured interviews with, and participant observations of, pharmacists, nurses, and doctors were conducted in specialty settings of an Australian public, metropolitan teaching hospital. Twenty-one individuals working in the settings of emergency care, oncology care, intensive care, cardiothoracic care, and perioperative care were interviewed. In addition, participant observations of 56 individuals were conducted in emergency care, oncology care, intensive care, and cardiothoracic care. Detailed thematic analysis of the data was performed. Across all of the settings, pharmacy was less visible than medicine and nursing in terms of pharmacists' work performed, pharmacy documentation and resources, and pharmacists' physical visibility. Pharmacists, doctors, and nurses largely worked alongside one another rather than with each other. When collaboration occurred, the professional groups engaged in mostly reactive communication to accomplish specific medication tasks that needed completing. Interprofessional differences in attitudes toward medications and medication management communication behaviors were evident. Pharmacists need to engage in more proactive communication in order to reduce the risk of medication errors occurring.

Medication communication through documentation in medical wards: knowledge and power relations

Health professionals communicate with each other about medication information using different forms of documentation. This article explores knowledge and power relations surrounding medication information exchanged through documentation among nurses, doctors and pharmacists. Ethnographic fieldwork was conducted in 2010 in two medical wards of a metropolitan hospital in Australia. Data collection methods included participant observations, field interviews, video-recordings, document retrieval and video reflexive focus groups. A critical discourse analytic framework was used to guide data analysis. The written medication chart was the main means of communicating medication decisions from doctors to nurses as compared to verbal communication. Nurses positioned themselves as auditors of the medication chart and scrutinised medical prescribing to maintain the discourse of patient safety. Pharmacists utilised the discourse of scientific judgement to guide their decision-making on the necessity of verbal communication with nurses and doctors. Targeted interdisciplinary meetings involving nurses, doctors and pharmacists should be organised in ward settings to discuss the importance of having documented medication information conveyed verbally across different disciplines. Health professionals should be encouraged to proactively seek out each other to relay changes in medication regimens and treatment goals.

Data replication approach with consistency guarantee for data grid

Data grids have been adopted by many scientific communities that need to share, access, transport, process, and manage geographically distributed large data collections. Data replication is one of the main mechanisms used in data grids whereby identical copies of data are generated and stored at various distributed sites to either improve data access performance or reliability or both. However, when data updates are allowed, it is a great challenge to simultaneously improve performance and reliability while ensuring data consistency of such huge and widely distributed data. In this paper, we address this problem. We propose a new quorum-based data replication protocol with the objectives of minimizing the data update cost, providing high availability and data consistency. We compare the proposed approach with two existing approaches using response time, data consistency, data availability, and communication costs. The results show that the proposed approach performs substantially better than the benchmark approaches.

Privacy preserving in location data release: A differential privacy approach

Communication devices with GPS chips allow people to generate large volumes of location data. However, location datasets have been confronted with serious privacy concerns. Recently, several privacy techniques have been proposed but most of them lack a strict privacy notion, and can hardly resist the number of possible attacks. This paper proposes a private release algorithm to randomize location datasets in a strict privacy notion, differential privacy. This algorithm includes three privacy-preserving operations: Private Location Clustering shrinks the randomized domain and Cluster Weight Perturbation hides the weights of locations, while Private Location Selection hides the exact locations of a user. Theoretical analysis on utility confirms an improved trade-off between the privacy and utility of released location data. The experimental results further suggest this private release algorithm can successfully retain the utility of the datasets while preserving users’ privacy.

Interactive exploration of data with visual metaphors

Visual Analytics (VA) is an approach to data analysis by means of visual manipulation of data representation, which relies on innate human abilities of perception and cognition. Even though current visual toolkits in the Business Analytics (BA) domain have improved the effectiveness of data exploration, analysis and reporting, their features are often not intuitive, and can be confusing and difficult to use. Moreover, visualizations generated from these toolkits are mostly accessible to specialist users. Thus, there is a need for analytic environments that support data exploration, interpretation and communication of insight that do not add to the cognitive load of the analyst and their non-technical clients. In this conceptual paper, we explore the potential of primary metaphors, which arise out of human lived and sensory-motor experiences, in the design of immersive visual analytics environments. Primary metaphors provide ideas for representation of time, space, quantity, similarity, actions and team work. Using examples developed in our own work, we also explain how to combine such metaphors to create complex and cognitively acceptable visual metaphors, such as 3D data terrains that approximate our intuition of reality and create opportunities for data to be viewed, navigated, explored, touched, changed, discussed, reported and described to others, individually or collaboratively.