Local Information Sources Research Articles

A Survey of Information Source Preferences of Parents of Individuals with Autism Spectrum Disorder.

For parents of children with an Autism spectrum disorder (ASD), high quality, easily accessible information and a strong peer network can be the key to raising a happy, healthy child, and maintaining family well-being and emotional resilience. This article reports the findings of an anonymous survey examining the information source preferences for 935 parents of individuals with ASDs in North Carolina. Data indicates that parents show similar information seeking patterns across the age spectrum, that availability of information (as indicated by overall information source selection) decrease as children age. It also shows that parents rely heavily on local sources of information, preferring them to nonlocal sources (such as the internet) for many types of information.

Evaluating Local News on the Radio

News radio stations function as major sources of local news and information for their listeners, but radio stations across the United States are facing unprecedented challenges with constant drops in advertising revenue and decreasing numbers of stations devoted to an all-news or talk format. A national survey of news radio station executives from stations in different-sized markets found that stations in smaller markets were likely to broadcast a greater percentage of locally produced content compared to syndicated or outsourced content than stations in larger markets. Ownership structure, such as whether a smaller station was owned independently or by a large media conglomerate, did not appear to have an effect on the levels of local programming.

The Social Dynamics of Collective Action: Evidence from the Captain Swing Riots, 1830-31

Social unrest often erupts suddenly and diffuses quickly. What drives people to overcome their collective action problem and join a riot or protest, turning what is initially a small event into a widespread movement? We address this question by examining the Swing riots of 1830-31. The communication constraints of the time induced spatio-temporal variation in exposure to news about the uprising, allowing us to estimate the role of contagion in the spread of the riots. We find that local (rather than national) sources of information were central in driving contagion, and that this contagion magnified the impact that social and economic fundamentals had on riots by a factor of 2.65. Our historical data allow us to overcome a number of econometric challenges, but the Swing riots are of independent interest as well: they contributed to the passage of the Great Reform Act, a key step in Britain’s institutional development.

Radio New Zealand International: Reporting the Pacific in tight times

New Zealand International (RNZI) broadcasts from New Zealand into the South Pacific and is relayed to South Pacific listeners by their various national news services. In 2006, American academic Andrew M. Clark characterised the role of RNZI as ‘providing a service for the people of the South Pacific’ that also provided ‘an important public diplomacy tool for the New Zealand government’ (Clark, 2006). A decade on, this article evaluates the ongoing use and utility of RNZI as a taxpayer-funded voice of and from New Zealand, as a service for the diverse peoples of the South Pacific and as a tool of New Zealand’s transnational diplomatic efforts. RNZI is still a key source of local and regional information and connection for the distinct cultures and nations of the vast South Pacific area, whose peoples have strong links to New Zealand through historical ties and contemporary diasporas living in the country. But, RNZI now faces mounting financial pressure, a government swinging between indifferent and hostile to public broadcasting and questions of legitimacy and reach in the ‘digital age’. With RNZI under pressure in 2016, key questions arise about its present and future. What is RNZI doing well and not so well? What role should New Zealand’s domestic and international politics play in the organisation and its outputs? And how might its importance and impact be measured and understood in such a culturally and geographically diverse region as the South Pacific? Using a variety of sources, including documents released to the author under the New Zealand Official Information Act, this article explores the role of RNZI in the contemporary New Zealand and South Pacific media environments.

Indoor footstep localization from structural dynamics instrumentation

Measurements from accelerometers originally deployed to measure a building's structural dynamics can serve a new role: locating individuals moving within a building. Specifically, this paper proposes measurements of footstep-generated vibrations as a novel source of information for localization. The complexity of wave propagation in a building (e.g., dispersion and reflection) limits the utility of existing algorithms designed to locate, for example, the source of sound in a room or radio waves in free space. This paper develops enhancements for arrival time determination and time difference of arrival localization in order to address the complexities posed by wave propagation within a building's structure. Experiments with actual measurements from an instrumented public building demonstrate the potential of locating footsteps to sub-meter accuracy. Furthermore, this paper explains how to forecast performance in other buildings with different sensor configurations. This localization capability holds the potential to assist public safety agencies in building evacuation and incidence response, to facilitate occupancy-based optimization of heating or cooling and to inform facility security.

Perceiving Graphical and Pictorial Information via Hearing and Touch

We propose a dynamic interactive system for conveying visual information via hearing and touch to blind and visually impaired people. The system is implemented with a touch screen that allows the user to actively explore a two-dimensional layout consisting of one or more objects with the finger while listening to auditory feedback. Sound is used as the primary source of information for object localization, identification, and shape, while touch is used for pointing and kinesthetic feedback. A static overlay of raised-dot tactile patterns can also be added. The head-related transfer function is used for rendering sound directionality, and variations of sound intensity or other features are used for rendering proximity. The main focus is on conveying the shape of an object, but the rendering of a simple scene layout, that consists of objects in a linear arrangement, each with a distinct tapping sound, is also considered and compared to a “virtual cane.” We consider a number of acoustic-tactile configurations and use empirical studies with visually blocked sighted participants to compare their effectiveness. Our findings demonstrate the advantages of spatial sound (directionality and proximity cues) for dynamic display of information (localization, identification, shape), while raised-dot patterns provide the best static shape rendition. We also show that the proposed configurations outperform existing techniques. The proposed approach is also expected to impact other applications where vision cannot be used.

The role of space agencies in remotely sensed essential biodiversity variables

AbstractThe Group on Earth Observations Biodiversity Observation Network (GEO BON) is developing the Essential Biodiversity Variables (EBVs) as the key variables needed, on a regular and global basis, to understand and monitor changes in the Earth's biodiversity. A subset of these EBVs can be derived from space‐based remote sensing, within this paper referred to as remotely sensed EBVs (RS‐EBVs). Given the global, periodic and standardized character of satellite remote sensing measures, RS‐EBVs may be seen as easier to generate than non‐remotely sensed EBVs, which have to be assembled from disparate and local sources of information. Particularly because they are global and periodic, RS‐EBVs are of special relevance for monitoring the state of and changes to biodiversity, notably the structure and function of ecosystems. If well developed, RS‐EBVs can provide key information for global biodiversity assessments as well as for national governments to meet their obligations under the Convention on Biological Diversity (CBD), in particular to formulate and implement appropriate management responses to biodiversity losses. However, the relevance and usage of globally produced RS‐EBVs in wide‐scale ecological modelling, such as in species distribution and abundance studies or in ecosystem integrity analyses, are still to be demonstrated, in particular when it comes to deriving biodiversity indicators for policy making and implementation. The biodiversity community at large, from those conducting scientific ecological studies to those involved in the development of remote sensing applications for biodiversity monitoring, can gain value from RS‐EBVs, but doing so requires close cooperation with space agencies. Effective interaction is only likely to result if the biodiversity community understands how space agencies determine their observation and product requirements. To develop these requirements, space agencies need to precisely specify the physical measurements for their spaceflight instruments, as well as the algorithmic approaches, to generate RS‐EBV products from these measurements. Here, we address the biodiversity community to discuss the role space agencies should play in the development of EBVs arising from satellite remote sensing. Importantly, we explain the necessity for translating the observational needs of the biodiversity community into specific satellite remote sensing measurement and algorithm requirements. By summarizing the prerequisite conditions that are required for obtaining a collective and strong engagement of space agencies in the co‐development of RS‐EBVs, we aim to facilitate collaborative efforts between the biodiversity community and the space agencies, which can ultimately contribute to a global and comprehensive biodiversity knowledge system.

Attention Assist: A High-Level Information Fusion Framework for Situation and Threat Assessment in Vehicular Ad Hoc Networks

Driver inattentiveness constitutes the main cause of road accidents, which makes it a major factor in road safety. In this paper, we propose a comprehensive framework to address the road safety problem by tackling it from a high-level information fusion standpoint, considering vehicular ad hoc networks (VANETs) as the deployment platform. The proposed framework relies on the multientity Bayesian networks (MEBNs), which exploit the expressiveness of first-order logic for semantic relations, and the strength of the Bayesian networks in handling uncertainty. First, the entities that influence the inattention phenomenon, as well as both their causal and semantic relationships, are identified. Next, an MEBN-based high-level information fusion framework is proposed through which entities, situations, and their relationships in specific contexts are modeled using MEBN fragments. Furthermore, MEBN inference is used to assess the situations of interest by estimating their states. To demonstrate the capabilities of the proposed framework, a collision warning system simulator has been developed, which evaluates the likelihood of a vehicle being in a near-collision situation using a wide variety of local and global information sources available in various VANET environments. If the threat of being in a near-collision situation is determined to be high, then the driver is warned accordingly. Our experimental results for two distinct single-vehicle and multivehicle categories of driving scenarios, as well as a novel hybrid MEBN inference, demonstrate the capability of the proposed framework to efficiently achieve situation and threat assessment on the road.

Water in the Mendoza, Argentina, food processing industry: water requirements and reuse potential of industrial effluents in agriculture

This paper estimates the volume of water used by the Mendoza food processing industry considering different water efficiency scenarios. The potential for using food processing industry effluents for irrigation is also assessed. The methodology relies upon information collected from interviews with qualified informants from different organizations and food-processing plants in Mendoza selected from a targeted sample. Scenarios were developed using local and international secondary information sources. The results show that food processing plants in Mendoza use 19.65 hm3 of water per year; efficient water management practices would make it possible to reduce water use by 64%, i.e., to 7.11 hm3. At present, 70% of the water is used by the fruit and vegetable processing industry, 16% by wineries, 8% by mineral water bottling plants, and the remaining 6% by olive oil, beer and soft drink plants. The volume of effluents from the food processing plants in Mendoza has been estimated at 16.27 hm3 per year. Despite the seasonal variations of these effluents, and the high sodium concentration and electrical conductivity of some of them, it is possible to use them for irrigation purposes. However, because of these variables and their environmental impact, land treatment is required.

Learning Framework for Robust Obstacle Detection, Recognition, and Tracking

This paper introduces a general framework for detection, recognition, and tracking preceding vehicles and pedestrians based on a deep learning approach. The proposed framework combines a novel deep learning approach with the use of multiple sources of local patterns and depth information to yield robust on-road vehicle and pedestrian detection, recognition, and tracking. The proposed system is first based on robust obstacle detection to identify obstacles appearing along the road that are likely to be vehicles and pedestrians, implemented as an efficient adaptive U-V disparity algorithm. Second, the results from the obstacle detection stage are input into a novel vehicle and pedestrian recognition system based on a deep learning model that processes multiple sources of depth information and local patterns. Finally, the results from the recognition stage are used to track detected vehicles or pedestrians in the next frame by means of a proposed tracking and validation model. The proposed framework has been thoroughly evaluated by inputting several vehicle and pedestrian data sets that were collected under various driving conditions. Experimental results show that this framework provides robust vehicle and pedestrian detection, recognition, and tracking with high accuracy, and also satisfies the real-time requirements of driver assistance systems.

Uniformity of Node Level Conflict Measures in Bayesian Hierarchical Models Based on Directed Acyclic Graphs

AbstractHierarchical models defined by means of directed, acyclic graphs are a powerful and widely used tool for Bayesian analysis of problems of varying degrees of complexity. A simulation‐based method for model criticism in such models has been suggested by O'Hagan in the form of a conflict measure based on contrasting separate local information sources about each node in the graph. This measure is however not well calibrated. In order to rectify this, alternative mutually similar tail probability‐based measures have been proposed independently and have been proved to be uniformly distributed under the assumed model in quite general normal models with known covariance matrices. In the present paper, we extend this result to a variety of models. An advantage of this is that computationally costly pre‐calibration schemes needed for some other suggested methods can be avoided. Another advantage is that non‐informative prior distributions can be used when performing model criticism.

Environmental Justice and Community-Based Research in Texas Borderland Colonias.

An innovative academic-community partnership studied daily decisions in communities of mostly Spanish-speaking, low-income residents of colonias in Hidalgo County, TX, about risk of exposure to fish contaminated by PCBs at an Environmental Protection Agency (EPA) Superfund site. The team used focus group interviews with colonia residents and content analysis to assess knowledge of risk related to the Superfund site, the Donna Reservoir and Canal System. (1) many lacked knowledge of the Superfund site contamination; (2) a few participants fished at the lake, knew people who did so, and consumed the catch, but most participants feared going there; (3) some participants remember receiving messages saying not to fish at the site, although they recalled nothing about contamination, but most participants knew of no such messages; (4) many use cell phones to get local information through personal networks and several Spanish-language news sources, but they have no consistent, culturally tailored local information source. The findings indicate the need for further efforts to design culturally tailored means of communication and messages to inform local communities widely about the dangers related to the Superfund site and thus decrease health disparities resulting from consuming fish from the site.

Using Mobile Phone Location Data to Develop External Trip Models

This paper explores the use of passively collected data on the location of mobile phones in the development of external travel models, which capture trips to, from, and through an area. The data were collected 24 h a day for 1 month during May 2013 for the North Carolina Department of Transportation. The data cover the French Broad River Metropolitan Planning Organization and surrounding counties in North Carolina. This paper details the format of the data collected and the required processing and cleaning to support the development of the external trip models. The process for developing a through-trip table and estimating external trip interchanges in the region is presented, along with validation techniques for both. The results of this effort show that passively collected mobile phone data can be a good source of local information for developing external trip models.

The causes and circumstances of drinking water incidents impact consumer behaviour: Comparison of a routine versus a natural disaster incident.

When public health is endangered, the general public can only protect themselves if timely messages are received and understood. Previous research has shown that the cause of threats to public health can affect risk perception and behaviours. This study compares compliance to public health advice and consumer behaviour during two “Boil Water” notices issued in the UK due to a routine incident versus a natural disaster incident. A postal questionnaire was sent to 1000 randomly selected households issued a routine “Boil Water” notice. Findings were then compared to a previous study that explored drinking water behaviour during a “Boil Water” notice issued after serious floods. Consumers affected by the routine incident showed a significant preference for official water company information, whereas consumers affected by the natural disaster preferred local information sources. Confusion over which notice was in place was found for both incidents. Non-compliance was significantly higher for the natural disaster (48.3%) than the routine incident (35.4%). For the routine incident, compliance with advice on drinking as well as preparing/cooking food and brushing teeth was positively associated with receiving advice from the local radio, while the opposite was true for those receiving advice from the water company/leaflet through the post; we suggest this may largely be due to confusion over needing boiled tap water for brushing teeth. No associations were found for demographic factors. We conclude that information dissemination plans should be tailored to the circumstances under which the advice is issued. Water companies should seek to educate the general public about water notices and which actions are safe and unsafe during which notice, as well as construct and disseminate clearer advice on brushing teeth and preparing/cooking food.

Local News Chatter: Augmenting Community News by Aggregating Hyperlocal Microblog Content in a Tag Cloud

Being aware of local community information is critical to maintaining civic engagement and participation. The use of online news and microblog content to create and disseminate community information has long been studied. However, interactions in the online spaces dedicated to local communities tend to only garner very limited usage, and people often do not consider microblog content as a meaningful source of local community information. Local News Chatter (LNC) was designed to address these challenges by augmenting local news feeds with microblog content and presenting them in a tag cloud that displays news topics of varying popularity with different tag sizes. Our study with 30 local residents highlights that LNC increases the visibility of hyperlocal community news information and successfully utilizes microblog as an additional information layer. LNC also increases one’s community awareness and shows the potential for leveraging community knowledge as a deliberation platform for local topics.

Chapter 6: How to best practice evidence-based pharmacy with your available resources?

The aim is to help pharmacists working in different settings to identify, evaluate and use their own evidence-based sources for improving outcome of patient/client care. We describe strategies for assessing...

Exploring geospatial cognition based on location-based social network sites

Geospatial cognition to sophisticated urban space is an essential capability to make various location-based decisions for our daily urban lives. To adapt ourselves to an unfamiliar or ever-evolving city, we need to develop urban cognition which usually requires lots of experience taking time and efforts. Moreover, it must be a tiresome work to find and ask knowledgeable people who have enough experience to a local area to learn what we would like to know on the spot. In order to collect and utilize crowd's urban cognition probably obtained from living experience, we attempt to explore geospatial cognition of people through common experience from location-based social networks which can be regarded as a fruitful source of crowd-experienced local information. In particular, we propose a method to extract crowd's movements as a direct and useful hint to know common urban cognition and measure relative socio-cognitive distances between urban clusters. In order to intuitively and simply represent cognitive urban space, we generate a socio-cognitive map by projecting the cognitive relationship into a simplified two-dimensional Euclidean space by way of MDS (Multi-Dimensional Scaling). In the experiment, we show a socio-cognitive map significantly representing cognitive proximity among urban clusters in terms of crowd's movements from massive lifelogs over Twitter. We also provide a practical use case for nearest neighbor areas search on the cognitive map.

A framework for mapping small-scale coastal fisheries using fishers' knowledge

Abstract Collecting spatial information on fisheries catch and effort is essential to understanding the spatial processes of exploited population dynamics and to manage heterogeneously distributed resources and uses. The use of fishers' knowledge through geographical information systems (GISs) is increasingly considered as a promising source of local information on small-scale coastal fisheries. In this paper we describe the first framework for mapping entire small-scale coastal fisheries using fishers' knowledge on catch size and fishing effort. Four mangrove and coral reef fisheries targeting invertebrates or finfish in New Caledonia (southwest Pacific) were mapped following a five-step framework: (i) stratified random sampling of regular fishers; (ii) collection of fishers' knowledge of fishing areas, fishing effort, and catch size through map-based interviews; (iii) data integration into a spatial geodatabase; (iv) statistical extrapolation of fisher data to the fishery scale; and (v) mapping of catch, effort, and catch per unit effort (CPUE) for each fishery using a GIS overlay procedure. We found evidence that fishers' knowledge supplied precise and accurate quantitative and spatial information on catch size, fishing effort and CPUE for entire fisheries. Fisheries maps captured the fine-scale spatial distribution of fishing activities in a variety of ways according to target taxa, gear type, and home ports. Applications include area-based marine conservation planning and fishery monitoring, management, and governance. This integrated framework can be generalized to a large range of data-poor coastal and inland small-scale fisheries.

Capabilities for Innovation in a Globalizing World: from Nearby or at a Distance?

This paper addresses the question of how clustering affects firms’ capabilities to innovate. This paper uses a specifically tailored survey carried out in 2013 of the geographical distance and scope of collaboration for innovation of 2002 firms located in the four largest Norwegian city-regions with the rest of the country as a separate category. We find that a majority of firms are located in regional clusters. However, the number of international relations increases the capacity to innovate. An international business environment stimulates the capability to innovate more than being part of a regional cluster. Firms that successfully develop global pipelines to knowledge sources in distant locations often sidestep the risk of lock-in, associated with relying solely on local sources of information (Malecki, 2010; Fitjar & RodriguezPose, 2011). Our findings suggest that caution should be exercised when invoking the concept of regional clusters to explain or define regional competitiveness. The cluster model obviously assigns too much importance to the regional business context, and to local interaction and externalities. These findings suggest that policies to advance the capabilities to innovate in Norwegian firms and regions may need to be revised.

Surveillance of travellers: an additional tool for tracking antimalarial drug resistance in endemic countries.

IntroductionThere are growing concerns about the emergence of resistance to artemisinin-based combination therapies (ACTs). Since the widespread adoption of ACTs, there has been a decrease in the systematic surveillance of antimalarial drug resistance in many malaria-endemic countries. The aim of this work was to test whether data on travellers returning from Africa with malaria could serve as an additional surveillance system of local information sources for the emergence of drug resistance in endemic-countries.MethodologyData were collected from travellers with symptomatic Plasmodium falciparum malaria returning from Senegal (n = 1,993), Mali (n = 2,372), Cote d’Ivoire (n = 4,778) or Cameroon (n = 3,272) and recorded in the French Malaria Reference Centre during the period 1996–2011. Temporal trends of the proportion of parasite isolates that carried the mutant genotype, pfcrt 76T, a marker of resistance to chloroquine (CQ) and pfdhfr 108N, a marker of resistance to pyrimethamine, were compared for travellers and within-country surveys that were identified through a literature review in PubMed. The in vitro response to CQ was also compared between these two groups for parasites from Senegal.ResultsThe trends in the proportion of parasites that carried pfcrt 76T, and pfdhfr 108N, were compared for parasites from travellers and patients within-country using the slopes of the curves over time; no significant differences in the trends were found for any of the 4 countries. These results were supported by in vitro analysis of parasites from the field in Senegal and travellers returning to France, where the trends were also not significantly different.ConclusionThe results have not shown different trends in resistance between parasites derived from travellers or from parasites within-country. This work highlights the value of an international database of drug responses in travellers as an additional tool to assess the emergence of drug resistance in endemic areas where information is limited.