Sample records for context aware applications

  1. CAreDroid: Adaptation Framework for Android Context-Aware Applications

    PubMed Central

    Elmalaki, Salma; Wanner, Lucas; Srivastava, Mani

    2015-01-01

    Context-awareness is the ability of software systems to sense and adapt to their physical environment. Many contemporary mobile applications adapt to changing locations, connectivity states, available computational and energy resources, and proximity to other users and devices. Nevertheless, there is little systematic support for context-awareness in contemporary mobile operating systems. Because of this, application developers must build their own context-awareness adaptation engines, dealing directly with sensors and polluting application code with complex adaptation decisions. In this paper, we introduce CAreDroid, which is a framework that is designed to decouple the application logic from the complex adaptation decisions in Android context-aware applications. In this framework, developers are required— only—to focus on the application logic by providing a list of methods that are sensitive to certain contexts along with the permissible operating ranges under those contexts. At run time, CAreDroid monitors the context of the physical environment and intercepts calls to sensitive methods, activating only the blocks of code that best fit the current physical context. CAreDroid is implemented as part of the Android runtime system. By pushing context monitoring and adaptation into the runtime system, CAreDroid eases the development of context-aware applications and increases their efficiency. In particular, case study applications implemented using CAre-Droid are shown to have: (1) at least half lines of code fewer and (2) at least 10× more efficient in execution time compared to equivalent context-aware applications that use only standard Android APIs. PMID:26834512

  2. CAreDroid: Adaptation Framework for Android Context-Aware Applications.

    PubMed

    Elmalaki, Salma; Wanner, Lucas; Srivastava, Mani

    2015-09-01

    Context-awareness is the ability of software systems to sense and adapt to their physical environment. Many contemporary mobile applications adapt to changing locations, connectivity states, available computational and energy resources, and proximity to other users and devices. Nevertheless, there is little systematic support for context-awareness in contemporary mobile operating systems. Because of this, application developers must build their own context-awareness adaptation engines, dealing directly with sensors and polluting application code with complex adaptation decisions. In this paper, we introduce CAreDroid, which is a framework that is designed to decouple the application logic from the complex adaptation decisions in Android context-aware applications. In this framework, developers are required- only-to focus on the application logic by providing a list of methods that are sensitive to certain contexts along with the permissible operating ranges under those contexts. At run time, CAreDroid monitors the context of the physical environment and intercepts calls to sensitive methods, activating only the blocks of code that best fit the current physical context. CAreDroid is implemented as part of the Android runtime system. By pushing context monitoring and adaptation into the runtime system, CAreDroid eases the development of context-aware applications and increases their efficiency. In particular, case study applications implemented using CAre-Droid are shown to have: (1) at least half lines of code fewer and (2) at least 10× more efficient in execution time compared to equivalent context-aware applications that use only standard Android APIs.

  3. Context-aware workflow management of mobile health applications.

    PubMed

    Salden, Alfons; Poortinga, Remco

    2006-01-01

    We propose a medical application management architecture that allows medical (IT) experts readily designing, developing and deploying context-aware mobile health (m-health) applications or services. In particular, we elaborate on how our application workflow management architecture enables chaining, coordinating, composing, and adapting context-sensitive medical application components such that critical Quality of Service (QoS) and Quality of Context (QoC) requirements typical for m-health applications or services can be met. This functional architectural support requires learning modules for distilling application-critical selection of attention and anticipation models. These models will help medical experts constructing and adjusting on-the-fly m-health application workflows and workflow strategies. We illustrate our context-aware workflow management paradigm for a m-health data delivery problem, in which optimal communication network configurations have to be determined.

  4. ContextProvider: Context awareness for medical monitoring applications.

    PubMed

    Mitchell, Michael; Meyers, Christopher; Wang, An-I Andy; Tyson, Gary

    2011-01-01

    Smartphones are sensor-rich and Internet-enabled. With their on-board sensors, web services, social media, and external biosensors, smartphones can provide contextual information about the device, user, and environment, thereby enabling the creation of rich, biologically driven applications. We introduce ContextProvider, a framework that offers a unified, query-able interface to contextual data on the device. Unlike other context-based frameworks, ContextProvider offers interactive user feedback, self-adaptive sensor polling, and minimal reliance on third-party infrastructure. ContextProvider also allows for rapid development of new context and bio-aware applications. Evaluation of ContextProvider shows the incorporation of an additional monitoring sensor into the framework with fewer than 100 lines of Java code. With adaptive sensor monitoring, power consumption per sensor can be reduced down to 1% overhead. Finally, through the use of context, accuracy of data interpretation can be improved by up to 80%.

  5. Improving Understanding and Trust with Intelligibility in Context-Aware Applications

    ERIC Educational Resources Information Center

    Lim, Brian Y.

    2012-01-01

    To facilitate everyday activities, context-aware applications use sensors to detect what is happening and use increasingly complex mechanisms ( e.g., by using big rule-sets or machine learning) to infer the user's context and intent. For example, a mobile application can recognize that the user is in a conversation and suppress any incoming…

  6. Context Aware Middleware Architectures: Survey and Challenges

    PubMed Central

    Li, Xin; Eckert, Martina; Martinez, José-Fernán; Rubio, Gregorio

    2015-01-01

    Context aware applications, which can adapt their behaviors to changing environments, are attracting more and more attention. To simplify the complexity of developing applications, context aware middleware, which introduces context awareness into the traditional middleware, is highlighted to provide a homogeneous interface involving generic context management solutions. This paper provides a survey of state-of-the-art context aware middleware architectures proposed during the period from 2009 through 2015. First, a preliminary background, such as the principles of context, context awareness, context modelling, and context reasoning, is provided for a comprehensive understanding of context aware middleware. On this basis, an overview of eleven carefully selected middleware architectures is presented and their main features explained. Then, thorough comparisons and analysis of the presented middleware architectures are performed based on technical parameters including architectural style, context abstraction, context reasoning, scalability, fault tolerance, interoperability, service discovery, storage, security & privacy, context awareness level, and cloud-based big data analytics. The analysis shows that there is actually no context aware middleware architecture that complies with all requirements. Finally, challenges are pointed out as open issues for future work. PMID:26307988

  7. Using a Context-aware Medical Application to Address Information Needs for Extubation Decisions

    PubMed Central

    Zhu, Xinxin; Lord, William

    2005-01-01

    Information overload has been one of the causes of preventable medical errors [1] and escalating costs [2]. A context-aware application with embedded clinical knowledge is proposed to provide practitioners with the appropriate amount of information and content. We developed a prototype of a context-aware medical application to address clinicians’ information needs that arise in a data-intensive unit, the Cardio-Thoracic Intensive Care Unit (CTICU). A major clinical decision supported by the prototype, the extubation decision, is illustrated. PMID:16779455

  8. A Multi-Temporal Context-Aware System for Competences Management

    ERIC Educational Resources Information Center

    Rosa, João H.; Barbosa, Jorge L.; Kich, Marcos; Brito, Lucas

    2015-01-01

    The evolution of computing technology and wireless networks has contributed to the miniaturization of mobile devices and their increase in power, providing services anywhere and anytime. In this scenario, applications have considered the user's contexts to make decisions (Context Awareness). Context-aware applications have enabled new…

  9. Context-aware personal navigation using embedded sensor fusion in smartphones.

    PubMed

    Saeedi, Sara; Moussa, Adel; El-Sheimy, Naser

    2014-03-25

    Context-awareness is an interesting topic in mobile navigation scenarios where the context of the application is highly dynamic. Using context-aware computing, navigation services consider the situation of user, not only in the design process, but in real time while the device is in use. The basic idea is that mobile navigation services can provide different services based on different contexts-where contexts are related to the user's activity and the device placement. Context-aware systems are concerned with the following challenges which are addressed in this paper: context acquisition, context understanding, and context-aware application adaptation. The proposed approach in this paper is using low-cost sensors in a multi-level fusion scheme to improve the accuracy and robustness of context-aware navigation system. The experimental results demonstrate the capabilities of the context-aware Personal Navigation Systems (PNS) for outdoor personal navigation using a smartphone.

  10. Context-Aware Personal Navigation Using Embedded Sensor Fusion in Smartphones

    PubMed Central

    Saeedi, Sara; Moussa, Adel; El-Sheimy, Naser

    2014-01-01

    Context-awareness is an interesting topic in mobile navigation scenarios where the context of the application is highly dynamic. Using context-aware computing, navigation services consider the situation of user, not only in the design process, but in real time while the device is in use. The basic idea is that mobile navigation services can provide different services based on different contexts—where contexts are related to the user's activity and the device placement. Context-aware systems are concerned with the following challenges which are addressed in this paper: context acquisition, context understanding, and context-aware application adaptation. The proposed approach in this paper is using low-cost sensors in a multi-level fusion scheme to improve the accuracy and robustness of context-aware navigation system. The experimental results demonstrate the capabilities of the context-aware Personal Navigation Systems (PNS) for outdoor personal navigation using a smartphone. PMID:24670715

  11. Context-aware system design

    NASA Astrophysics Data System (ADS)

    Chan, Christine S.; Ostertag, Michael H.; Akyürek, Alper Sinan; Šimunić Rosing, Tajana

    2017-05-01

    The Internet of Things envisions a web-connected infrastructure of billions of sensors and actuation devices. However, the current state-of-the-art presents another reality: monolithic end-to-end applications tightly coupled to a limited set of sensors and actuators. Growing such applications with new devices or behaviors, or extending the existing infrastructure with new applications, involves redesign and redeployment. We instead propose a modular approach to these applications, breaking them into an equivalent set of functional units (context engines) whose input/output transformations are driven by general-purpose machine learning, demonstrating an improvement in compute redundancy and computational complexity with minimal impact on accuracy. In conjunction with formal data specifications, or ontologies, we can replace application-specific implementations with a composition of context engines that use common statistical learning to generate output, thus improving context reuse. We implement interconnected context-aware applications using our approach, extracting user context from sensors in both healthcare and grid applications. We compare our infrastructure to single-stage monolithic implementations with single-point communications between sensor nodes and the cloud servers, demonstrating a reduction in combined system energy by 22-45%, and multiplying the battery lifetime of power-constrained devices by at least 22x, with easy deployment across different architectures and devices.

  12. Configuring a Context-Aware Middleware for Wireless Sensor Networks

    PubMed Central

    Gámez, Nadia; Cubo, Javier; Fuentes, Lidia; Pimentel, Ernesto

    2012-01-01

    In the Future Internet, applications based on Wireless Sensor Networks will have to support reconfiguration with minimum human intervention, depending on dynamic context changes in their environment. These situations create a need for building these applications as adaptive software and including techniques that allow the context acquisition and decisions about adaptation. However, contexts use to be made up of complex information acquired from heterogeneous devices and user characteristics, making them difficult to manage. So, instead of building context-aware applications from scratch, we propose to use FamiWare, a family of middleware for Ambient Intelligence specifically designed to be aware of contexts in sensor and smartphone devices. It provides both, several monitoring services to acquire contexts from devices and users, and a context-awareness service to analyze and detect context changes. However, the current version of FamiWare does not allow the automatic incorporation related to the management of new contexts into the FamiWare family. To overcome this shortcoming, in this work, we first present how to model the context using a metamodel to define the contexts that must to be taken into account in an instantiation of FamiWare for a certain Ambient Intelligence system. Then, to configure a new context-aware version of FamiWare and to generate code ready-to-install within heterogeneous devices, we define a mapping that automatically transforms metamodel elements defining contexts into elements of the FamiWare family, and we also use the FamiWare configuration process to customize the new context-aware variant. Finally, we evaluate the benefits of our process, and we analyze both that the new version of the middleware works as expected and that it manages the contexts in an efficient way. PMID:23012505

  13. Context Aware Systems, Methods and Trends in Smart Home Technology

    NASA Astrophysics Data System (ADS)

    Robles, Rosslin John; Kim, Tai-Hoon

    Context aware applications respond and adapt to changes in the computing environment. It is the concept of leveraging information about the end user to improve the quality of the interaction. New technologies in context-enriched services will use location, presence, social attributes, and other environmental information to anticipate an end user's immediate needs, offering more-sophisticated, situation-aware and usable functions. Smart homes connect all the devices and appliances in your home so they can communicate with each other and with you. Context-awareness can be applied to Smart Home technology. In this paper, we discuss the context-aware tools for development of Smart Home Systems.

  14. Context-awareness in ubiquitous computing and the mobile devices

    NASA Astrophysics Data System (ADS)

    Akçit, Nuhcan; Tomur, Emrah; Karslıoǧlu, Mahmut Onur

    2015-06-01

    Mobile device use has vastly increased in the last few years. Many people use many mobile devices in their daily lives. Context-aware computing is the main feature of pervasive and ubiquitous computing. Context awareness is also an important topic that becomes more available with ubiquitous computing. As the sensors increase, the data collected via mobile device sensors and sensor networks do not have much value because of the difficulty in analysis and understanding the data. Context-aware computing helps us store contextual information and use or search it by mobile devices when we want to see or analyze it. Contextual data can be made more meaningful by context-aware processing. There are different types of data and context information that must be considered. By combining spatial and contextual data, we obtain more meaningful data based on the entities. Contextual data is any information that can be used to characterize the situation of the entity. The entity is a person, place, or object considered relevant to the interaction between the user and an application, including the users and the applications. Using contextual data and good integration to mobile devices adds great value to this data, and combining these with our other data sets will allow us to obtain more useful information and analysis.

  15. Trust-Based and Context-Aware Authentication in a Software Architecture for Context and Proximity-Aware Services

    NASA Astrophysics Data System (ADS)

    Lenzini, Gabriele

    We describe an existing software architecture for context and proximity aware services that enables trust-based and context-aware authentication. A service is proximity aware when it automatically detects the presence of entities in its proximity. Authentication is context-aware when it uses contextual information to discern among different identities and to evaluate to which extent they are authentic. The software architecture that we describe here is functioning in our Institute: It manages a sensor network to detect the presence and location of users and their devices. A context manager is responsible to merge the different sources of contextual information, to solve potential contradictions, and to determine the level of authentication of the identity of the person approaching one of the services offered in the coffee-break corners of our Institute. In our solution for context-aware authentication, sensors are managed as if they were recommenders having subjective belief, disbelief, and uncertainty (i.e., trust) on the position and identity of users. A sensor’s subjective trust depends on what it has been sensing in the environment. We discuss the results of an array of simulations that we conducted to validate our concept of trust-based and context-aware authentication. We use Subjective Logic to manage trust.

  16. Technical Feasibility of a Mobile Context-Aware (Social) Learning Schedule Framework

    ERIC Educational Resources Information Center

    Yau, Jane Y. K.; Joy, Mike

    2013-01-01

    The purpose of this paper is to show the technical feasibility of implementing their mobile context-aware learning schedule (mCALS) framework as a software application on a mobile device using current technologies, prior to its actual implementation. This process draws a set of compatible mobile and context-aware technologies at present and can be…

  17. A wearable context aware system for ubiquitous healthcare.

    PubMed

    Kang, Dong-Oh; Lee, Hyung-Jik; Ko, Eun-Jung; Kang, Kyuchang; Lee, Jeunwoo

    2006-01-01

    Recent developments of information technologies are leading the advent of the era of ubiquitous healthcare, which means healthcare services at any time and at any places. The ubiquitous healthcare service needs a wearable system for more continual measurement of biological signals of a user, which gives information of the user from wearable sensors. In this paper, we propose a wearable context aware system for ubiquitous healthcare, and its systematic design process of a ubiquitous healthcare service. Some wearable sensor systems are introduced with Zigbee communication. We develop a context aware framework to send information from wearable sensors to healthcare service entities as a middleware to solve the interoperability problem between sensor makers and healthcare service providers. And, we propose a systematic process of design of ubiquitous healthcare services with the context aware framework. In order to show the feasibility of the proposed system, some application examples are given, which are applied to remote monitoring, and a self check service.

  18. PLEXIL-DL: Language and Runtime for Context-Aware Robot Behaviour

    NASA Astrophysics Data System (ADS)

    Moser, Herwig; Reichelt, Toni; Oswald, Norbert; Förster, Stefan

    Faced with the growing complexity of application scenarios social robots are involved with, the perception of environmental circumstances and the sentient reactions are becoming more and more important abilities. Rather than regarding both abilities in isolation, the entire transformation process, from context-awareness to purposive behaviour, forms a robot’s adaptivity. While attaining context-awareness has received much attention in literature so far, translating it into appropriate actions still lacks a comprehensive approach. In this paper, we present PLEXIL-DL, an expressive language allowing complex context expressions as an integral part of constructs that define sophisticated behavioural reactions. Our approach extends NASA’s PLEXIL language by Description Logic queries, both in syntax and formal semantics. A prototypical implementation of a PLEXIL-DL interpreter shows the basic mechanisms facilitating the robot’s adaptivity through context-awareness.

  19. Context-aware distributed cloud computing using CloudScheduler

    NASA Astrophysics Data System (ADS)

    Seuster, R.; Leavett-Brown, CR; Casteels, K.; Driemel, C.; Paterson, M.; Ring, D.; Sobie, RJ; Taylor, RP; Weldon, J.

    2017-10-01

    The distributed cloud using the CloudScheduler VM provisioning service is one of the longest running systems for HEP workloads. It has run millions of jobs for ATLAS and Belle II over the past few years using private and commercial clouds around the world. Our goal is to scale the distributed cloud to the 10,000-core level, with the ability to run any type of application (low I/O, high I/O and high memory) on any cloud. To achieve this goal, we have been implementing changes that utilize context-aware computing designs that are currently employed in the mobile communication industry. Context-awareness makes use of real-time and archived data to respond to user or system requirements. In our distributed cloud, we have many opportunistic clouds with no local HEP services, software or storage repositories. A context-aware design significantly improves the reliability and performance of our system by locating the nearest location of the required services. We describe how we are collecting and managing contextual information from our workload management systems, the clouds, the virtual machines and our services. This information is used not only to monitor the system but also to carry out automated corrective actions. We are incrementally adding new alerting and response services to our distributed cloud. This will enable us to scale the number of clouds and virtual machines. Further, a context-aware design will enable us to run analysis or high I/O application on opportunistic clouds. We envisage an open-source HTTP data federation (for example, the DynaFed system at CERN) as a service that would provide us access to existing storage elements used by the HEP experiments.

  20. AI Techniques in a Context-Aware Ubiquitous Environment

    NASA Astrophysics Data System (ADS)

    Coppola, Paolo; Mea, Vincenzo Della; di Gaspero, Luca; Lomuscio, Raffaella; Mischis, Danny; Mizzaro, Stefano; Nazzi, Elena; Scagnetto, Ivan; Vassena, Luca

    Nowadays, the mobile computing paradigm and the widespread diffusion of mobile devices are quickly changing and replacing many common assumptions about software architectures and interaction/communication models. The environment, in particular, or more generally, the so-called user context is claiming a central role in everyday’s use of cellular phones, PDAs, etc. This is due to the huge amount of data “suggested” by the surrounding environment that can be helpful in many common tasks. For instance, the current context can help a search engine to refine the set of results in a useful way, providing the user with a more suitable and exploitable information. Moreover, we can take full advantage of this new data source by “pushing” active contents towards mobile devices, empowering the latter with new features (e.g., applications) that can allow the user to fruitfully interact with the current context. Following this vision, mobile devices become dynamic self-adapting tools, according to the user needs and the possibilities offered by the environment. The present work proposes MoBe: an approach for providing a basic infrastructure for pervasive context-aware applications on mobile devices, in which AI techniques (namely a principled combination of rule-based systems, Bayesian networks and ontologies) are applied to context inference. The aim is to devise a general inferential framework to make easier the development of context-aware applications by integrating the information coming from physical and logical sensors (e.g., position, agenda) and reasoning about this information in order to infer new and more abstract contexts.

  1. Context Aware Programmable Trackers for the Next Generation Internet

    NASA Astrophysics Data System (ADS)

    Sousa, Pedro

    This work introduces and proposes the concept of context aware programmable trackers for the next generation Internet. The proposed solution gives ground for the development of advanced applications based on the P2P paradigm and will foster collaborative efforts among several network entities (e.g. P2P applications and ISPs). The proposed concept of context aware programmable trackers allows that several peer selection strategies might be supported by a P2P tracker entity able to improve the peer selection decisions according with pre-defined objectives and external inputs provided by specific services. The flexible, adaptive and enhanced peer selection semantics that might be achieved by the proposed solution will contribute for devising novel P2P based services and business models for the future Internet.

  2. User Situational Context: An Essential Challenge to Context Awareness

    ERIC Educational Resources Information Center

    Mowafi, Yaser Abdallah

    2009-01-01

    Existing research on context and context awareness has broadly focused on the technical aspects of context acquisition and interpretation of users' surroundings, also called physical or sensor-based context. Such an approach has lacked from reconciling the perception of real-world context exhibited by humans, also known as user context, and…

  3. Towards Pervasive Augmented Reality: Context-Awareness in Augmented Reality.

    PubMed

    Grubert, Jens; Langlotz, Tobias; Zollmann, Stefanie; Regenbrecht, Holger

    2017-06-01

    Augmented Reality is a technique that enables users to interact with their physical environment through the overlay of digital information. While being researched for decades, more recently, Augmented Reality moved out of the research labs and into the field. While most of the applications are used sporadically and for one particular task only, current and future scenarios will provide a continuous and multi-purpose user experience. Therefore, in this paper, we present the concept of Pervasive Augmented Reality, aiming to provide such an experience by sensing the user's current context and adapting the AR system based on the changing requirements and constraints. We present a taxonomy for Pervasive Augmented Reality and context-aware Augmented Reality, which classifies context sources and context targets relevant for implementing such a context-aware, continuous Augmented Reality experience. We further summarize existing approaches that contribute towards Pervasive Augmented Reality. Based our taxonomy and survey, we identify challenges for future research directions in Pervasive Augmented Reality.

  4. Hybrid context aware recommender systems

    NASA Astrophysics Data System (ADS)

    Jain, Rajshree; Tyagi, Jaya; Singh, Sandeep Kumar; Alam, Taj

    2017-10-01

    Recommender systems and context awareness is currently a vital field of research. Most hybrid recommendation systems implement content based and collaborative filtering techniques whereas this work combines context and collaborative filtering. The paper presents a hybrid context aware recommender system for books and movies that gives recommendations based on the user context as well as user or item similarity. It also addresses the issue of dimensionality reduction using weighted pre filtering based on dynamically entered user context and preference of context. This unique step helps to reduce the size of dataset for collaborative filtering. Bias subtracted collaborative filtering is used so as to consider the relative rating of a particular user and not the absolute values. Cosine similarity is used as a metric to determine the similarity between users or items. The unknown ratings are calculated and evaluated using MSE (Mean Squared Error) in test and train datasets. The overall process of recommendation has helped to personalize recommendations and give more accurate results with reduced complexity in collaborative filtering.

  5. A Methodology and a Web Platform for the Collaborative Development of Context-Aware Systems

    PubMed Central

    Martín, David; López-de-Ipiña, Diego; Alzua-Sorzabal, Aurkene; Lamsfus, Carlos; Torres-Manzanera, Emilio

    2013-01-01

    Information and services personalization is essential for an optimal user experience. Systems have to be able to acquire data about the user's context, process them in order to identify the user's situation and finally, adapt the functionality of the system to that situation, but the development of context-aware systems is complex. Data coming from distributed and heterogeneous sources have to be acquired, processed and managed. Several programming frameworks have been proposed in order to simplify the development of context-aware systems. These frameworks offer high-level application programming interfaces for programmers that complicate the involvement of domain experts in the development life-cycle. The participation of users that do not have programming skills but are experts in the application domain can speed up and improve the development process of these kinds of systems. Apart from that, there is a lack of methodologies to guide the development process. This article presents as main contributions, the implementation and evaluation of a web platform and a methodology to collaboratively develop context-aware systems by programmers and domain experts. PMID:23666131

  6. Introduction to This Special Issue on Context-Aware Computing.

    ERIC Educational Resources Information Center

    Moran, Thomas P.; Dourish, Paul

    2001-01-01

    Discusses pervasive, or ubiquitous, computing; explains the notion of context; and defines context-aware computing as the key to disperse and enmesh computation into our lives. Considers context awareness in human-computer interaction and describes the broad topic areas of the essays included in this special issue. (LRW)

  7. Mobile-Based Collaborative Learning in the Fitness Center: A Case Study on the Development of English Listening Comprehension with a Context-Aware Application

    ERIC Educational Resources Information Center

    Liu, Gi-Zen; Chen, Jing-Yao; Hwang, Gwo-Jen

    2018-01-01

    Mobile applications on the go have been adopted in many fields and areas. However, there has been little research regarding the development and use of a context-aware application for users to improve their English listening comprehension through collaboration. This research aimed at helping users improve their listening comprehension with a…

  8. Context-Aware Local Binary Feature Learning for Face Recognition.

    PubMed

    Duan, Yueqi; Lu, Jiwen; Feng, Jianjiang; Zhou, Jie

    2018-05-01

    In this paper, we propose a context-aware local binary feature learning (CA-LBFL) method for face recognition. Unlike existing learning-based local face descriptors such as discriminant face descriptor (DFD) and compact binary face descriptor (CBFD) which learn each feature code individually, our CA-LBFL exploits the contextual information of adjacent bits by constraining the number of shifts from different binary bits, so that more robust information can be exploited for face representation. Given a face image, we first extract pixel difference vectors (PDV) in local patches, and learn a discriminative mapping in an unsupervised manner to project each pixel difference vector into a context-aware binary vector. Then, we perform clustering on the learned binary codes to construct a codebook, and extract a histogram feature for each face image with the learned codebook as the final representation. In order to exploit local information from different scales, we propose a context-aware local binary multi-scale feature learning (CA-LBMFL) method to jointly learn multiple projection matrices for face representation. To make the proposed methods applicable for heterogeneous face recognition, we present a coupled CA-LBFL (C-CA-LBFL) method and a coupled CA-LBMFL (C-CA-LBMFL) method to reduce the modality gap of corresponding heterogeneous faces in the feature level, respectively. Extensive experimental results on four widely used face datasets clearly show that our methods outperform most state-of-the-art face descriptors.

  9. Framework for Designing Context-Aware Learning Systems

    ERIC Educational Resources Information Center

    Tortorella, Richard A. W.; Kinshuk; Chen, Nian-Shing

    2018-01-01

    Today people learn in many diverse locations and contexts, beyond the confines of classical brick and mortar classrooms. This trend is ever increasing, progressing hand-in-hand with the progress of technology. Context-aware learning systems are systems which adapt to the learner's context, providing tailored learning for a particular learning…

  10. a Context-Aware Tourism Recommender System Based on a Spreading Activation Method

    NASA Astrophysics Data System (ADS)

    Bahramian, Z.; Abbaspour, R. Ali; Claramunt, C.

    2017-09-01

    Users planning a trip to a given destination often search for the most appropriate points of interest location, this being a non-straightforward task as the range of information available is very large and not very well structured. The research presented by this paper introduces a context-aware tourism recommender system that overcomes the information overload problem by providing personalized recommendations based on the user's preferences. It also incorporates contextual information to improve the recommendation process. As previous context-aware tourism recommender systems suffer from a lack of formal definition to represent contextual information and user's preferences, the proposed system is enhanced using an ontology approach. We also apply a spreading activation technique to contextualize user preferences and learn the user profile dynamically according to the user's feedback. The proposed method assigns more effect in the spreading process for nodes which their preference values are assigned directly by the user. The results show the overall performance of the proposed context-aware tourism recommender systems by an experimental application to the city of Tehran.

  11. Review of game theory applications for situation awareness

    NASA Astrophysics Data System (ADS)

    Blasch, Erik; Shen, Dan; Pham, Khanh D.; Chen, Genshe

    2015-05-01

    Game theoretical methods have been used for spectral awareness, space situational awareness (SSA), cyber situational awareness (CSA), and Intelligence, Surveillance, and Reconnaissance situation awareness (ISA). Each of these cases, awareness is supported by sensor estimation for assessment and the situation is determined from the actions of multiple players. Game theory assumes rational actors in a defined scenario; however, variations in social, cultural and behavioral factors include the dynamic nature of the context. In a dynamic data-driven application system (DDDAS), modeling must include both the measurements but also how models are used by different actors with different priorities. In this paper, we highlight the applications of game theory by reviewing the literature to determine the current state of the art and future needs. Future developments would include building towards knowledge awareness with information technology (e.g., data aggregation, access, indexing); multiscale analysis (e.g., space, time, and frequency), and software methods (e.g., architectures, cloud computing, protocols).

  12. An Infrastructure to Enable Lightweight Context-Awareness for Mobile Users

    PubMed Central

    Curiel, Pablo; Lago, Ana B.

    2013-01-01

    Mobile phones enable us to carry out a wider range of tasks every day, and as a result they have become more ubiquitous than ever. However, they are still more limited in terms of processing power and interaction capabilities than traditional computers, and the often distracting and time-constricted scenarios in which we use them do not help in alleviating these limitations. Context-awareness is a valuable technique to address these issues, as it enables to adapt application behaviour to each situation. In this paper we present a context management infrastructure for mobile environments, aimed at controlling context information life-cycle in this kind of scenarios, with the main goal of enabling application and services to adapt their behaviour to better meet end-user needs. This infrastructure relies on semantic technologies and open standards to improve interoperability, and is based on a central element, the context manager. This element acts as a central context repository and takes most of the computational burden derived from dealing with this kind of information, thus relieving from these tasks to more resource-scarce devices in the system. PMID:23899932

  13. Intelligent Context-Aware and Adaptive Interface for Mobile LBS

    PubMed Central

    Liu, Yanhong

    2015-01-01

    Context-aware user interface plays an important role in many human-computer Interaction tasks of location based services. Although spatial models for context-aware systems have been studied extensively, how to locate specific spatial information for users is still not well resolved, which is important in the mobile environment where location based services users are impeded by device limitations. Better context-aware human-computer interaction models of mobile location based services are needed not just to predict performance outcomes, such as whether people will be able to find the information needed to complete a human-computer interaction task, but to understand human processes that interact in spatial query, which will in turn inform the detailed design of better user interfaces in mobile location based services. In this study, a context-aware adaptive model for mobile location based services interface is proposed, which contains three major sections: purpose, adjustment, and adaptation. Based on this model we try to describe the process of user operation and interface adaptation clearly through the dynamic interaction between users and the interface. Then we show how the model applies users' demands in a complicated environment and suggested the feasibility by the experimental results. PMID:26457077

  14. Privacy in Georeferenced Context-Aware Services: A Survey

    NASA Astrophysics Data System (ADS)

    Riboni, Daniele; Pareschi, Linda; Bettini, Claudio

    Location based services (LBS) are a specific instance of a broader class of Internet services that are predicted to become popular in a near future: context-aware services. The privacy concerns that LBS have raised are likely to become even more serious when several context data, other than location and time, are sent to service providers as part of an Internet request. This paper provides a classification and a brief survey of the privacy preservation techniques that have been proposed for this type of services. After identifying the benefits and shortcomings of each class of techniques, the paper proposes a combined approach to achieve a more comprehensive solution for privacy preservation in georeferenced context-aware services.

  15. A Scalable Context-Aware Objective Function (SCAOF) of Routing Protocol for Agricultural Low-Power and Lossy Networks (RPAL).

    PubMed

    Chen, Yibo; Chanet, Jean-Pierre; Hou, Kun-Mean; Shi, Hongling; de Sousa, Gil

    2015-08-10

    In recent years, IoT (Internet of Things) technologies have seen great advances, particularly, the IPv6 Routing Protocol for Low-power and Lossy Networks (RPL), which provides a powerful and flexible routing framework that can be applied in a variety of application scenarios. In this context, as an important role of IoT, Wireless Sensor Networks (WSNs) can utilize RPL to design efficient routing protocols for a specific application to increase the ubiquity of networks with resource-constrained WSN nodes that are low-cost and easy to deploy. In this article, our work starts with the description of Agricultural Low-power and Lossy Networks (A-LLNs) complying with the LLN framework, and to clarify the requirements of this application-oriented routing solution. After a brief review of existing optimization techniques for RPL, our contribution is dedicated to a Scalable Context-Aware Objective Function (SCAOF) that can adapt RPL to the environmental monitoring of A-LLNs, through combining energy-aware, reliability-aware, robustness-aware and resource-aware contexts according to the composite routing metrics approach. The correct behavior of this enhanced RPL version (RPAL) was verified by performance evaluations on both simulation and field tests. The obtained experimental results confirm that SCAOF can deliver the desired advantages on network lifetime extension, and high reliability and efficiency in different simulation scenarios and hardware testbeds.

  16. A Scalable Context-Aware Objective Function (SCAOF) of Routing Protocol for Agricultural Low-Power and Lossy Networks (RPAL)

    PubMed Central

    Chen, Yibo; Chanet, Jean-Pierre; Hou, Kun-Mean; Shi, Hongling; de Sousa, Gil

    2015-01-01

    In recent years, IoT (Internet of Things) technologies have seen great advances, particularly, the IPv6 Routing Protocol for Low-power and Lossy Networks (RPL), which provides a powerful and flexible routing framework that can be applied in a variety of application scenarios. In this context, as an important role of IoT, Wireless Sensor Networks (WSNs) can utilize RPL to design efficient routing protocols for a specific application to increase the ubiquity of networks with resource-constrained WSN nodes that are low-cost and easy to deploy. In this article, our work starts with the description of Agricultural Low-power and Lossy Networks (A-LLNs) complying with the LLN framework, and to clarify the requirements of this application-oriented routing solution. After a brief review of existing optimization techniques for RPL, our contribution is dedicated to a Scalable Context-Aware Objective Function (SCAOF) that can adapt RPL to the environmental monitoring of A-LLNs, through combining energy-aware, reliability-aware, robustness-aware and resource-aware contexts according to the composite routing metrics approach. The correct behavior of this enhanced RPL version (RPAL) was verified by performance evaluations on both simulation and field tests. The obtained experimental results confirm that SCAOF can deliver the desired advantages on network lifetime extension, and high reliability and efficiency in different simulation scenarios and hardware testbeds. PMID:26266411

  17. Context-Aware Generative Adversarial Privacy

    NASA Astrophysics Data System (ADS)

    Huang, Chong; Kairouz, Peter; Chen, Xiao; Sankar, Lalitha; Rajagopal, Ram

    2017-12-01

    Preserving the utility of published datasets while simultaneously providing provable privacy guarantees is a well-known challenge. On the one hand, context-free privacy solutions, such as differential privacy, provide strong privacy guarantees, but often lead to a significant reduction in utility. On the other hand, context-aware privacy solutions, such as information theoretic privacy, achieve an improved privacy-utility tradeoff, but assume that the data holder has access to dataset statistics. We circumvent these limitations by introducing a novel context-aware privacy framework called generative adversarial privacy (GAP). GAP leverages recent advancements in generative adversarial networks (GANs) to allow the data holder to learn privatization schemes from the dataset itself. Under GAP, learning the privacy mechanism is formulated as a constrained minimax game between two players: a privatizer that sanitizes the dataset in a way that limits the risk of inference attacks on the individuals' private variables, and an adversary that tries to infer the private variables from the sanitized dataset. To evaluate GAP's performance, we investigate two simple (yet canonical) statistical dataset models: (a) the binary data model, and (b) the binary Gaussian mixture model. For both models, we derive game-theoretically optimal minimax privacy mechanisms, and show that the privacy mechanisms learned from data (in a generative adversarial fashion) match the theoretically optimal ones. This demonstrates that our framework can be easily applied in practice, even in the absence of dataset statistics.

  18. Bluetooth-Assisted Context-Awareness in Educational Data Networks

    ERIC Educational Resources Information Center

    Gonzalez-Castano, F. J.; Garcia-Reinoso, J.; Gil-Castineira, F.; Costa-Montenegro, E.; Pousada-Carballo, J. M.

    2005-01-01

    In this paper, we propose an auxiliary "location network", to support user-independent context-awareness in educational data networks; for example, to help visitors in a museum. We assume that, in such scenarios, there exist "service servers" that need to be aware of user location in real-time. Specifically, we propose the implementation of a…

  19. Prototyping context-aware nursing support mobile system.

    PubMed

    Esashi, Misa; Nakano, Tomohiro; Onose, Nao; Sato, Kikue; Hikita, Tomoko; Hoya, Reiko; Okamoto, Kazuya; Ohboshi, Naoki; Kuroda, Tomohiro

    2016-08-01

    A context aware nursing support system to push right information to the right person at the right moment is the key to increase clinical safety under a computerized hospital. We prototyped a system which obtains context from positions of nurses and list of expected clinical procedures. A WoZ test showed that the proposed approach has potential to decrease incidents caused by information delivery error.

  20. A Two-Stage Composition Method for Danger-Aware Services Based on Context Similarity

    NASA Astrophysics Data System (ADS)

    Wang, Junbo; Cheng, Zixue; Jing, Lei; Ota, Kaoru; Kansen, Mizuo

    Context-aware systems detect user's physical and social contexts based on sensor networks, and provide services that adapt to the user accordingly. Representing, detecting, and managing the contexts are important issues in context-aware systems. Composition of contexts is a useful method for these works, since it can detect a context by automatically composing small pieces of information to discover service. Danger-aware services are a kind of context-aware services which need description of relations between a user and his/her surrounding objects and between users. However when applying the existing composition methods to danger-aware services, they show the following shortcomings that (1) they have not provided an explicit method for representing composition of multi-user' contexts, (2) there is no flexible reasoning mechanism based on similarity of contexts, so that they can just provide services exactly following the predefined context reasoning rules. Therefore, in this paper, we propose a two-stage composition method based on context similarity to solve the above problems. The first stage is composition of the useful information to represent the context for a single user. The second stage is composition of multi-users' contexts to provide services by considering the relation of users. Finally the danger degree of the detected context is computed by using context similarity between the detected context and the predefined context. Context is dynamically represented based on two-stage composition rules and a Situation theory based Ontology, which combines the advantages of Ontology and Situation theory. We implement the system in an indoor ubiquitous environment, and evaluate the system through two experiments with the support of subjects. The experiment results show the method is effective, and the accuracy of danger detection is acceptable to a danger-aware system.

  1. Avoiding the conflict: Metacognitive awareness drives the selection of low-demand contexts.

    PubMed

    Desender, Kobe; Buc Calderon, Cristian; Van Opstal, Filip; Van den Bussche, Eva

    2017-07-01

    Previous research attempted to explain how humans strategically adapt behavior in order to achieve successful task performance. Recently, it has been suggested that 1 potential strategy is to avoid tasks that are too demanding. Here, we report 3 experiments that investigate the empirically neglected role of metacognitive awareness in this process. In these experiments, participants could freely choose between performing a task in either a high-demand or a low-demand context. Using subliminal priming, we ensured that participants were not aware of the visual stimuli creating these different demand contexts. Our results showed that participants who noticed a difference in task difficulty (i.e., metacognitive aware participants) developed a clear preference for the low-demand context. In contrast, participants who experienced no difference in task difficulty (i.e., metacognitive unaware participants) based their choices on variables unrelated to cognitive demand (e.g., the color or location associated with a context), and did not develop a preference for the low-demand context. Crucially, this pattern was found despite identical task performance in both metacognitive awareness groups. A multiple regression approach confirmed that metacognitive awareness was the main factor driving the preference for low-demand contexts. These results argue for an important role of metacognitive awareness in the strategic avoidance of demanding tasks. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

  2. Modeling Battery Behavior on Sensory Operations for Context-Aware Smartphone Sensing

    PubMed Central

    Yurur, Ozgur; Liu, Chi Harold; Moreno, Wilfrido

    2015-01-01

    Energy consumption is a major concern in context-aware smartphone sensing. This paper first studies mobile device-based battery modeling, which adopts the kinetic battery model (KiBaM), under the scope of battery non-linearities with respect to variant loads. Second, this paper models the energy consumption behavior of accelerometers analytically and then provides extensive simulation results and a smartphone application to examine the proposed sensor model. Third, a Markov reward process is integrated to create energy consumption profiles, linking with sensory operations and their effects on battery non-linearity. Energy consumption profiles consist of different pairs of duty cycles and sampling frequencies during sensory operations. Furthermore, the total energy cost by each profile is represented by an accumulated reward in this process. Finally, three different methods are proposed on the evolution of the reward process, to present the linkage between different usage patterns on the accelerometer sensor through a smartphone application and the battery behavior. By doing this, this paper aims at achieving a fine efficiency in power consumption caused by sensory operations, while maintaining the accuracy of smartphone applications based on sensor usages. More importantly, this study intends that modeling the battery non-linearities together with investigating the effects of different usage patterns in sensory operations in terms of the power consumption and the battery discharge may lead to discovering optimal energy reduction strategies to extend the battery lifetime and help a continual improvement in context-aware mobile services. PMID:26016916

  3. Modeling battery behavior on sensory operations for context-aware smartphone sensing.

    PubMed

    Yurur, Ozgur; Liu, Chi Harold; Moreno, Wilfrido

    2015-05-26

    Energy consumption is a major concern in context-aware smartphone sensing. This paper first studies mobile device-based battery modeling, which adopts the kinetic battery model (KiBaM), under the scope of battery non-linearities with respect to variant loads. Second, this paper models the energy consumption behavior of accelerometers analytically and then provides extensive simulation results and a smartphone application to examine the proposed sensor model. Third, a Markov reward process is integrated to create energy consumption profiles, linking with sensory operations and their effects on battery non-linearity. Energy consumption profiles consist of different pairs of duty cycles and sampling frequencies during sensory operations. Furthermore, the total energy cost by each profile is represented by an accumulated reward in this process. Finally, three different methods are proposed on the evolution of the reward process, to present the linkage between different usage patterns on the accelerometer sensor through a smartphone application and the battery behavior. By doing this, this paper aims at achieving a fine efficiency in power consumption caused by sensory operations, while maintaining the accuracy of smartphone applications based on sensor usages. More importantly, this study intends that modeling the battery non-linearities together with investigating the effects of different usage patterns in sensory operations in terms of the power consumption and the battery discharge may lead to discovering optimal energy reduction strategies to extend the battery lifetime and help a continual improvement in context-aware mobile services.

  4. Using Context-Aware Ubiquitous Learning to Support Students' Understanding of Geometry

    ERIC Educational Resources Information Center

    Crompton, Helen

    2015-01-01

    In this study, context-aware ubiquitous learning was used to support 4th grade students as they learn angle concepts. Context-aware ubiquitous learning was provided to students primarily through the use of iPads to access real-world connections and a Dynamic Geometry Environment. Gravemeijer and van Eerde's (2009), design-based research (DBR)…

  5. Minimalism context-aware displays.

    PubMed

    Cai, Yang

    2004-12-01

    Despite the rapid development of cyber technologies, today we still have very limited attention and communication bandwidth to process the increasing information flow. The goal of the study is to develop a context-aware filter to match the information load with particular needs and capacities. The functions include bandwidth-resolution trade-off and user context modeling. From the empirical lab studies, it is found that the resolution of images can be reduced in order of magnitude if the viewer knows that he/she is looking for particular features. The adaptive display queue is optimized with real-time operational conditions and user's inquiry history. Instead of measuring operator's behavior directly, ubiquitous computing models are developed to anticipate user's behavior from the operational environment data. A case study of the video stream monitoring for transit security is discussed in the paper. In addition, the author addresses the future direction of coherent human-machine vision systems.

  6. Context aware adaptive security service model

    NASA Astrophysics Data System (ADS)

    Tunia, Marcin A.

    2015-09-01

    Present systems and devices are usually protected against different threats concerning digital data processing. The protection mechanisms consume resources, which are either highly limited or intensively utilized by many entities. The optimization of these resources usage is advantageous. The resources that are saved performing optimization may be utilized by other mechanisms or may be sufficient for longer time. It is usually assumed that protection has to provide specific quality and attack resistance. By interpreting context situation of business services - users and services themselves, it is possible to adapt security services parameters to countermeasure threats associated with current situation. This approach leads to optimization of used resources and maintains sufficient security level. This paper presents architecture of adaptive security service, which is context-aware and exploits quality of context data issue.

  7. Study on the context-aware middleware for ubiquitous greenhouses using wireless sensor networks.

    PubMed

    Hwang, Jeonghwang; Yoe, Hyun

    2011-01-01

    Wireless Sensor Network (WSN) technology is one of the important technologies to implement the ubiquitous society, and it could increase productivity of agricultural and livestock products, and secure transparency of distribution channels if such a WSN technology were successfully applied to the agricultural sector. Middleware, which can connect WSN hardware, applications, and enterprise systems, is required to construct ubiquitous agriculture environment combining WSN technology with agricultural sector applications, but there have been insufficient studies in the field of WSN middleware in the agricultural environment, compared to other industries. This paper proposes a context-aware middleware to efficiently process data collected from ubiquitous greenhouses by applying WSN technology and used to implement combined services through organic connectivity of data. The proposed middleware abstracts heterogeneous sensor nodes to integrate different forms of data, and provides intelligent context-aware, event service, and filtering functions to maximize operability and scalability of the middleware. To evaluate the performance of the middleware, an integrated management system for ubiquitous greenhouses was implemented by applying the proposed middleware to an existing greenhouse, and it was tested by measuring the level of load through CPU usage and the response time for users' requests when the system is working.

  8. Semantic Web Technologies for Mobile Context-Aware Services

    DTIC Science & Technology

    2006-03-01

    for Context-Aware Service Provisioning 6 Communication toolkit (http, e-mail, IM, etc.) User interaction manager Platform manager White & yellow ...NAICS] North American Industry Classification System , http://www.census.gov/epcd/www/naics.html [OS00] Opermann, R., and Specht , M., A Context...toolkit (http, e-mail, IM, etc.) User interaction manager Platform manager White & yellow pages MAS administration toolkit N ET W O R K knowledge

  9. Learning in a u-Museum: Developing a Context-Aware Ubiquitous Learning Environment

    ERIC Educational Resources Information Center

    Chen, Chia-Chen; Huang, Tien-Chi

    2012-01-01

    Context-awareness techniques can support learners in learning without time or location constraints by using mobile devices and associated learning activities in a real learning environment. Enrichment of context-aware technologies has enabled students to learn in an environment that integrates learning resources from both the real world and the…

  10. A Social Approach to High-Level Context Generation for Supporting Context-Aware M-Learning

    ERIC Educational Resources Information Center

    Pan, Xu-Wei; Ding, Ling; Zhu, Xi-Yong; Yang, Zhao-Xiang

    2017-01-01

    In m-learning environments, context-awareness is for wide use where learners' situations are varied, dynamic and unpredictable. We are facing the challenge of requirements of both generality and depth in generating and processing high-level context. In this paper, we present a social approach which exploits social dynamics and social computing for…

  11. A Service-oriented Approach towards Context-aware Mobile Learning Management Systems

    DTIC Science & Technology

    2010-07-01

    towards a pervasive university. Keywords-context-aware computing, service-oriented archi- tecture, mobile computing, elearning , learn management sys- tem I...usage of device- specific features provide support for various ubiquitous and pervasive eLearning scenarios [2][3]. By knowing where the user currently...data from the mobile device towards a context-aware mobile LMS. II. BASIC CONCEPTS For a better understanding of the presented eLearning sce- narios

  12. Context-Aware Reviewer Assignment for Trust Enhanced Peer Review

    PubMed Central

    Li, Lei; Wang, Yan; Liu, Guanfeng; Wang, Meng; Wu, Xindong

    2015-01-01

    Reviewer assignment is critical to peer review systems, such as peer-reviewed research conferences or peer-reviewed funding applications, and its effectiveness is a deep concern of all academics. However, there are some problems in existing peer review systems during reviewer assignment. For example, some of the reviewers are much more stringent than others, leading to an unfair final decision, i.e., some submissions (i.e., papers or applications) with better quality are rejected. In this paper, we propose a context-aware reviewer assignment for trust enhanced peer review. More specifically, in our approach, we first consider the research area specific expertise of reviewers, and the institution relevance and co-authorship between reviewers and authors, so that reviewers with the right expertise are assigned to the corresponding submissions without potential conflict of interest. In addition, we propose a novel cross-assignment paradigm, and reviewers are cross-assigned in order to avoid assigning a group of stringent reviewers or a group of lenient reviewers to the same submission. More importantly, on top of them, we propose an academic CONtext-aware expertise relevanCe oriEnted Reviewer cross-assignmenT approach (CONCERT), which aims to effectively estimate the “true” ratings of submissions based on the ratings from all reviewers, even though no prior knowledge exists about the distribution of stringent reviewers and lenient reviewers. The experiments illustrate that compared with existing approaches, our proposed CONCERT approach can less likely assign more than one stringent reviewers or lenient reviewers to a submission simultaneously and significantly reduce the influence of ratings from stringent reviewers and lenient reviewers, leading to trust enhanced peer review and selection, no matter what kind of distributions of stringent reviewers and lenient reviewers are. PMID:26090849

  13. Constructing a User-Friendly and Smart Ubiquitous Personalized Learning Environment by Using a Context-Aware Mechanism

    ERIC Educational Resources Information Center

    Yao, Ching-Bang

    2017-01-01

    Although m-learning applications have been widely researched, few studies have investigated applying adaptive learning content to various learning environments and efficient input interfaces. This study combined a context-aware mechanism, which can be used to provide suitable learning information anytime and anyplace by using GPS technology, with…

  14. Context-Aware Recommender Systems

    NASA Astrophysics Data System (ADS)

    Adomavicius, Gediminas; Tuzhilin, Alexander

    The importance of contextual information has been recognized by researchers and practitioners in many disciplines, including e-commerce personalization, information retrieval, ubiquitous and mobile computing, data mining, marketing, and management. While a substantial amount of research has already been performed in the area of recommender systems, most existing approaches focus on recommending the most relevant items to users without taking into account any additional contextual information, such as time, location, or the company of other people (e.g., for watching movies or dining out). In this chapter we argue that relevant contextual information does matter in recommender systems and that it is important to take this information into account when providing recommendations. We discuss the general notion of context and how it can be modeled in recommender systems. Furthermore, we introduce three different algorithmic paradigms - contextual prefiltering, post-filtering, and modeling - for incorporating contextual information into the recommendation process, discuss the possibilities of combining several contextaware recommendation techniques into a single unifying approach, and provide a case study of one such combined approach. Finally, we present additional capabilities for context-aware recommenders and discuss important and promising directions for future research.

  15. Context-aware brain-computer interfaces: exploring the information space of user, technical system and environment

    NASA Astrophysics Data System (ADS)

    Zander, T. O.; Jatzev, S.

    2012-02-01

    Brain-computer interface (BCI) systems are usually applied in highly controlled environments such as research laboratories or clinical setups. However, many BCI-based applications are implemented in more complex environments. For example, patients might want to use a BCI system at home, and users without disabilities could benefit from BCI systems in special working environments. In these contexts, it might be more difficult to reliably infer information about brain activity, because many intervening factors add up and disturb the BCI feature space. One solution for this problem would be adding context awareness to the system. We propose to augment the available information space with additional channels carrying information about the user state, the environment and the technical system. In particular, passive BCI systems seem to be capable of adding highly relevant context information—otherwise covert aspects of user state. In this paper, we present a theoretical framework based on general human-machine system research for adding context awareness to a BCI system. Building on that, we present results from a study on a passive BCI, which allows access to the covert aspect of user state related to the perceived loss of control. This study is a proof of concept and demonstrates that context awareness could beneficially be implemented in and combined with a BCI system or a general human-machine system. The EEG data from this experiment are available for public download at www.phypa.org. Parts of this work have already been presented in non-journal publications. This will be indicated specifically by appropriate references in the text.

  16. A Heuristic Algorithm for Planning Personalized Learning Paths for Context-Aware Ubiquitous Learning

    ERIC Educational Resources Information Center

    Hwang, Gwo-Jen; Kuo, Fan-Ray; Yin, Peng-Yeng; Chuang, Kuo-Hsien

    2010-01-01

    In a context-aware ubiquitous learning environment, learning systems can detect students' learning behaviors in the real-world with the help of context-aware (sensor) technology; that is, students can be guided to observe or operate real-world objects with personalized support from the digital world. In this study, an optimization problem that…

  17. Research on dynamic performance design of mobile phone application based on context awareness

    NASA Astrophysics Data System (ADS)

    Bo, Zhang

    2018-05-01

    It aims to explore the dynamic performance of different mobile phone applications and the user's cognitive differences, reduce the cognitive burden, and enhance the sense of experience. By analyzing the dynamic design performance in four different interactive contexts, and constructing the framework of information service process in the interactive context perception and the two perception principles of the cognitive consensus between designer and user, and the two kinds of knowledge in accordance with the perception principles. The analysis of the context will help users sense the dynamic performance more intuitively, so that the details of interaction will be performed more vividly and smoothly, thus enhance user's experience in the interactive process. The common perception experience enables designers and users to produce emotional resonance in different interactive contexts, and help them achieve rapid understanding of interactive content and perceive the logic and hierarchy of the content and the structure, therefore the effectiveness of mobile applications will be improved.

  18. FleXConf: A Flexible Conference Assistant Using Context-Aware Notification Services

    NASA Astrophysics Data System (ADS)

    Armenatzoglou, Nikos; Marketakis, Yannis; Kriara, Lito; Apostolopoulos, Elias; Papavasiliou, Vicky; Kampas, Dimitris; Kapravelos, Alexandros; Kartsonakis, Eythimis; Linardakis, Giorgos; Nikitaki, Sofia; Bikakis, Antonis; Antoniou, Grigoris

    Integrating context-aware notification services to ubiquitous computing systems aims at the provision of the right information to the right users, at the right time, in the right place, and on the right device, and constitutes a significant step towards the realization of the Ambient Intelligence vision. In this paper, we present FlexConf, a semantics-based system that supports location-based, personalized notification services for the assistance of conference attendees. Its special features include an ontology-based representation model, rule-based context-aware reasoning, and a novel positioning system for indoor environments.

  19. SERENITY Aware System Development Process

    NASA Astrophysics Data System (ADS)

    Serrano, Daniel; Maña, Antonio; Llarena, Rafael; Crespo, Beatriz Gallego-Nicasio; Li, Keqin

    Traditionally, security patterns have successfully been used to describe security and dependability. In the SERENITY Project the notion of security and dependability (S&D) pattern has been extended to exact specifications of re-usable security mechanisms for Ambient Intelligence (AmI) systems. These S&D Patterns include information on the security properties satisfied by the solution and on the context conditions to be fulfilled. This chapter presents the development of applications supported by SERENITY. In the context of SERENITY we refer to these applications as Serenity-aware applications. Firstly, this chapter presents the Serenity-aware application design using S&D Artefacts. Secondly, it proposes a Java Application Programming Interface (API) to be used in the application development. And, finally, it introduces the development of an example Serenity-aware application.

  20. A Middleware with Comprehensive Quality of Context Support for the Internet of Things Applications

    PubMed Central

    Gomes, Berto de Tácio Pereira; Muniz, Luiz Carlos Melo; dos Santos, Davi Viana; Lopes, Rafael Fernandes; Coutinho, Luciano Reis; Carvalho, Felipe Oliveira; Endler, Markus

    2017-01-01

    Context aware systems are able to adapt their behavior according to the environment in which the user is. They can be integrated into an Internet of Things (IoT) infrastructure, allowing a better perception of the user’s physical environment by collecting context data from sensors embedded in devices known as smart objects. An IoT extension called the Internet of Mobile Things (IoMT) suggests new scenarios in which smart objects and IoT gateways can move autonomously or be moved easily. In a comprehensive view, Quality of Context (QoC) is a term that can express quality requirements of context aware applications. These requirements can be those related to the quality of information provided by the sensors (e.g., accuracy, resolution, age, validity time) or those referring to the quality of the data distribution service (e.g, reliability, delay, delivery time). Some functionalities of context aware applications and/or decision-making processes of these applications and their users depend on the level of quality of context available, which tend to vary over time for various reasons. Reviewing the literature, it is possible to verify that the quality of context support provided by IoT-oriented middleware systems still has limitations in relation to at least four relevant aspects: (i) quality of context provisioning; (ii) quality of context monitoring; (iii) support for heterogeneous device and technology management; (iv) support for reliable data delivery in mobility scenarios. This paper presents two main contributions: (i) a state-of-the-art survey specifically aimed at analyzing the middleware with quality of context support and; (ii) a new middleware with comprehensive quality of context support for Internet of Things Applications. The proposed middleware was evaluated and the results are presented and discussed in this article, which also shows a case study involving the development of a mobile remote patient monitoring application that was developed using the

  1. A Middleware with Comprehensive Quality of Context Support for the Internet of Things Applications.

    PubMed

    Gomes, Berto de Tácio Pereira; Muniz, Luiz Carlos Melo; da Silva E Silva, Francisco José; Dos Santos, Davi Viana; Lopes, Rafael Fernandes; Coutinho, Luciano Reis; Carvalho, Felipe Oliveira; Endler, Markus

    2017-12-08

    Context aware systems are able to adapt their behavior according to the environment in which the user is. They can be integrated into an Internet of Things (IoT) infrastructure, allowing a better perception of the user's physical environment by collecting context data from sensors embedded in devices known as smart objects. An IoT extension called the Internet of Mobile Things (IoMT) suggests new scenarios in which smart objects and IoT gateways can move autonomously or be moved easily. In a comprehensive view, Quality of Context (QoC) is a term that can express quality requirements of context aware applications. These requirements can be those related to the quality of information provided by the sensors (e.g., accuracy, resolution, age, validity time) or those referring to the quality of the data distribution service (e.g, reliability, delay, delivery time). Some functionalities of context aware applications and/or decision-making processes of these applications and their users depend on the level of quality of context available, which tend to vary over time for various reasons. Reviewing the literature, it is possible to verify that the quality of context support provided by IoT-oriented middleware systems still has limitations in relation to at least four relevant aspects: (i) quality of context provisioning; (ii) quality of context monitoring; (iii) support for heterogeneous device and technology management; (iv) support for reliable data delivery in mobility scenarios. This paper presents two main contributions: (i) a state-of-the-art survey specifically aimed at analyzing the middleware with quality of context support and; (ii) a new middleware with comprehensive quality of context support for Internet of Things Applications. The proposed middleware was evaluated and the results are presented and discussed in this article, which also shows a case study involving the development of a mobile remote patient monitoring application that was developed using the

  2. Towards a flexible middleware for context-aware pervasive and wearable systems.

    PubMed

    Muro, Marco; Amoretti, Michele; Zanichelli, Francesco; Conte, Gianni

    2012-11-01

    Ambient intelligence and wearable computing call for innovative hardware and software technologies, including a highly capable, flexible and efficient middleware, allowing for the reuse of existing pervasive applications when developing new ones. In the considered application domain, middleware should also support self-management, interoperability among different platforms, efficient communications, and context awareness. In the on-going "everything is networked" scenario scalability appears as a very important issue, for which the peer-to-peer (P2P) paradigm emerges as an appealing solution for connecting software components in an overlay network, allowing for efficient and balanced data distribution mechanisms. In this paper, we illustrate how all these concepts can be placed into a theoretical tool, called networked autonomic machine (NAM), implemented into a NAM-based middleware, and evaluated against practical problems of pervasive computing.

  3. Context-aware adaptive spelling in motor imagery BCI.

    PubMed

    Perdikis, S; Leeb, R; Millán, J D R

    2016-06-01

    This work presents a first motor imagery-based, adaptive brain-computer interface (BCI) speller, which is able to exploit application-derived context for improved, simultaneous classifier adaptation and spelling. Online spelling experiments with ten able-bodied users evaluate the ability of our scheme, first, to alleviate non-stationarity of brain signals for restoring the subject's performances, second, to guide naive users into BCI control avoiding initial offline BCI calibration and, third, to outperform regular unsupervised adaptation. Our co-adaptive framework combines the BrainTree speller with smooth-batch linear discriminant analysis adaptation. The latter enjoys contextual assistance through BrainTree's language model to improve online expectation-maximization maximum-likelihood estimation. Our results verify the possibility to restore single-sample classification and BCI command accuracy, as well as spelling speed for expert users. Most importantly, context-aware adaptation performs significantly better than its unsupervised equivalent and similar to the supervised one. Although no significant differences are found with respect to the state-of-the-art PMean approach, the proposed algorithm is shown to be advantageous for 30% of the users. We demonstrate the possibility to circumvent supervised BCI recalibration, saving time without compromising the adaptation quality. On the other hand, we show that this type of classifier adaptation is not as efficient for BCI training purposes.

  4. A Context-Aware Solution in Mobile Language Learning

    ERIC Educational Resources Information Center

    Fatahipour, Majid; Ghaseminajm, Mahnaz

    2014-01-01

    Despite obvious benefits, some challenges exist in the way of sustainable utilization of mobile phone technology for language learning tasks. This paper shows how these challenges can be better addressed in the light of recent advancements in mobile phone technology, like context aware mobile learning, informed with a sound pedagogical basis for…

  5. An Expert System-based Context-Aware Ubiquitous Learning Approach for Conducting Science Learning Activities

    ERIC Educational Resources Information Center

    Wu, Po-Han; Hwang, Gwo-Jen; Tsai, Wen-Hung

    2013-01-01

    Context-aware ubiquitous learning has been recognized as being a promising approach that enables students to interact with real-world learning targets with supports from the digital world. Several researchers have indicated the importance of providing learning guidance or hints to individual students during the context-aware ubiquitous learning…

  6. A Conceptual Framework and a Toolkit for Supporting the Rapid Prototyping of Context-Aware Applications.

    ERIC Educational Resources Information Center

    Dey, Anind K.; Abowd, Gregory D.; Salber, Daniel

    2001-01-01

    Discusses the trend toward ubiquitous computing and the challenge to enhance the behavior of any application by informing it of the context of its use. Defines context related to the interaction between humans, applications, and the surrounding environment; and presents a conceptual framework and a toolkit for supporting the rapid prototyping of…

  7. Context-aware adaptive spelling in motor imagery BCI

    NASA Astrophysics Data System (ADS)

    Perdikis, S.; Leeb, R.; Millán, J. d. R.

    2016-06-01

    Objective. This work presents a first motor imagery-based, adaptive brain-computer interface (BCI) speller, which is able to exploit application-derived context for improved, simultaneous classifier adaptation and spelling. Online spelling experiments with ten able-bodied users evaluate the ability of our scheme, first, to alleviate non-stationarity of brain signals for restoring the subject’s performances, second, to guide naive users into BCI control avoiding initial offline BCI calibration and, third, to outperform regular unsupervised adaptation. Approach. Our co-adaptive framework combines the BrainTree speller with smooth-batch linear discriminant analysis adaptation. The latter enjoys contextual assistance through BrainTree’s language model to improve online expectation-maximization maximum-likelihood estimation. Main results. Our results verify the possibility to restore single-sample classification and BCI command accuracy, as well as spelling speed for expert users. Most importantly, context-aware adaptation performs significantly better than its unsupervised equivalent and similar to the supervised one. Although no significant differences are found with respect to the state-of-the-art PMean approach, the proposed algorithm is shown to be advantageous for 30% of the users. Significance. We demonstrate the possibility to circumvent supervised BCI recalibration, saving time without compromising the adaptation quality. On the other hand, we show that this type of classifier adaptation is not as efficient for BCI training purposes.

  8. Flexible Macroblock Ordering for Context-Aware Ultrasound Video Transmission over Mobile WiMAX

    PubMed Central

    Martini, Maria G.; Hewage, Chaminda T. E. R.

    2010-01-01

    The most recent network technologies are enabling a variety of new applications, thanks to the provision of increased bandwidth and better management of Quality of Service. Nevertheless, telemedical services involving multimedia data are still lagging behind, due to the concern of the end users, that is, clinicians and also patients, about the low quality provided. Indeed, emerging network technologies should be appropriately exploited by designing the transmission strategy focusing on quality provision for end users. Stemming from this principle, we propose here a context-aware transmission strategy for medical video transmission over WiMAX systems. Context, in terms of regions of interest (ROI) in a specific session, is taken into account for the identification of multiple regions of interest, and compression/transmission strategies are tailored to such context information. We present a methodology based on H.264 medical video compression and Flexible Macroblock Ordering (FMO) for ROI identification. Two different unequal error protection methodologies, providing higher protection to the most diagnostically relevant data, are presented. PMID:20827292

  9. Understanding social disparities in hypertension prevalence, awareness, treatment, and control: the role of neighborhood context.

    PubMed

    Morenoff, Jeffrey D; House, James S; Hansen, Ben B; Williams, David R; Kaplan, George A; Hunte, Haslyn E

    2007-11-01

    The spatial segregation of the US population by socioeconomic position and especially race/ethnicity suggests that the social contexts or "neighborhoods" in which people live may substantially contribute to social disparities in hypertension. The Chicago Community Adult Health Study did face-to-face interviews, including direct measurement of blood pressure, with a representative probability sample of adults in Chicago. These data were used to estimate socioeconomic and racial-ethnic disparities in the prevalence, awareness, treatment, and control of hypertension, and to analyze how these disparities are related to the areas in which people live. Hypertension was significantly negatively associated with neighborhood affluence/gentrification, and adjustments for context eliminated the highly significant disparity between blacks/African-Americans and whites, and reduced the significant educational disparity by 10-15% to borderline statistical significance. Awareness of hypertension was significantly higher in more disadvantaged neighborhoods and in places with higher concentrations of blacks (and lower concentrations of Hispanics and immigrants). Adjustment for context completely eliminated blacks' greater awareness, but slightly accentuated the lesser awareness of Hispanics and the greater levels of awareness among the less educated. There was no consistent evidence of either social disparities in or contextual associations with treatment of hypertension, given awareness. Among those on medication, blacks were only 40-50% as likely as whites to have their hypertension controlled, but context played little or no role in either the level of or disparities in control of hypertension. In sum, residential contexts potentially play a large role in accounting for racial/ethnic and, to a lesser degree, socioeconomic disparities in hypertension prevalence and, in a different way, awareness, but not in treatment or control of diagnosed hypertension.

  10. A Bio-Inspired Model-Based Approach for Context-Aware Post-WIMP Tele-Rehabilitation.

    PubMed

    López-Jaquero, Víctor; Rodríguez, Arturo C; Teruel, Miguel A; Montero, Francisco; Navarro, Elena; Gonzalez, Pascual

    2016-10-13

    Tele-rehabilitation is one of the main domains where Information and Communication Technologies (ICT) have been proven useful to move healthcare from care centers to patients' home. Moreover, patients, especially those carrying out a physical therapy, cannot use a traditional Window, Icon, Menu, Pointer (WIMP) system, but they need to interact in a natural way, that is, there is a need to move from WIMP systems to Post-WIMP ones. Moreover, tele-rehabilitation systems should be developed following the context-aware approach, so that they are able to adapt to the patients' context to provide them with usable and effective therapies. In this work a model-based approach is presented to assist stakeholders in the development of context-aware Post-WIMP tele-rehabilitation systems. It entails three different models: (i) a task model for designing the rehabilitation tasks; (ii) a context model to facilitate the adaptation of these tasks to the context; and (iii) a bio-inspired presentation model to specify thoroughly how such tasks should be performed by the patients. Our proposal overcomes one of the limitations of the model-based approach for the development of context-aware systems supporting the specification of non-functional requirements. Finally, a case study is used to illustrate how this proposal can be put into practice to design a real world rehabilitation task.

  11. Context-aware access control for pervasive access to process-based healthcare systems.

    PubMed

    Koufi, Vassiliki; Vassilacopoulos, George

    2008-01-01

    Healthcare is an increasingly collaborative enterprise involving a broad range of healthcare services provided by many individuals and organizations. Grid technology has been widely recognized as a means for integrating disparate computing resources in the healthcare field. Moreover, Grid portal applications can be developed on a wireless and mobile infrastructure to execute healthcare processes which, in turn, can provide remote access to Grid database services. Such an environment provides ubiquitous and pervasive access to integrated healthcare services at the point of care, thus improving healthcare quality. In such environments, the ability to provide an effective access control mechanism that meets the requirement of the least privilege principle is essential. Adherence to the least privilege principle requires continuous adjustments of user permissions in order to adapt to the current situation. This paper presents a context-aware access control mechanism for HDGPortal, a Grid portal application which provides access to workflow-based healthcare processes using wireless Personal Digital Assistants. The proposed mechanism builds upon and enhances security mechanisms provided by the Grid Security Infrastructure. It provides tight, just-in-time permissions so that authorized users get access to specific objects according to the current context. These permissions are subject to continuous adjustments triggered by the changing context. Thus, the risk of compromising information integrity during task executions is reduced.

  12. Context Inference for Mobile Applications in the UPCASE Project

    NASA Astrophysics Data System (ADS)

    Santos, André C.; Tarrataca, Luís; Cardoso, João M. P.; Ferreira, Diogo R.; Diniz, Pedro C.; Chainho, Paulo

    The growing processing capabilities of mobile devices coupled with portable and wearable sensors have enabled the development of context-aware services tailored to the user environment and its daily activities. The problem of determining the user context at each particular point in time is one of the main challenges in this area. In this paper, we describe the approach pursued in the UPCASE project, which makes use of sensors available in the mobile device as well as sensors externally connected via Bluetooth. We describe the system architecture from raw data acquisition to feature extraction and context inference. As a proof of concept, the inference of contexts is based on a decision tree to learn and identify contexts automatically and dynamically at runtime. Preliminary results suggest that this is a promising approach for context inference in several application scenarios.

  13. Design and Implementation of Context-Aware Musuem Guide Agents

    NASA Astrophysics Data System (ADS)

    Satoh, Ichiro

    This paper presents an agent-based system for building and operating context-aware services in public spaces, including museums. The system provides users with agents and detects the locations of users and deploys location-aware user-assistant agents at computers near the their current locations by using active RFID-tags. When a visitor moves between exhibits in a museum, this dynamically deploys his/her agent at the computers close to the exhibits by using mobile agent technology. It annotates the exhibits in his/her personalized form and navigate him/her user to the next exhibits along his/her routes. It also introduces user movement as a natural approach to interacting between users and agents. To demonstrate the utility and effectiveness of the system, we constructed location/user-aware visitor-guide services and experimented them for two weeks in a public museum.

  14. Context Representation and Fusion: Advancements and Opportunities

    PubMed Central

    Khattak, Asad Masood; Akbar, Noman; Aazam, Mohammad; Ali, Taqdir; Khan, Adil Mehmood; Jeon, Seokhee; Hwang, Myunggwon; Lee, Sungyoung

    2014-01-01

    The acceptance and usability of context-aware systems have given them the edge of wide use in various domains and has also attracted the attention of researchers in the area of context-aware computing. Making user context information available to such systems is the center of attention. However, there is very little emphasis given to the process of context representation and context fusion which are integral parts of context-aware systems. Context representation and fusion facilitate in recognizing the dependency/relationship of one data source on another to extract a better understanding of user context. The problem is more critical when data is emerging from heterogeneous sources of diverse nature like sensors, user profiles, and social interactions and also at different timestamps. Both the processes of context representation and fusion are followed in one way or another; however, they are not discussed explicitly for the realization of context-aware systems. In other words most of the context-aware systems underestimate the importance context representation and fusion. This research has explicitly focused on the importance of both the processes of context representation and fusion and has streamlined their existence in the overall architecture of context-aware systems’ design and development. Various applications of context representation and fusion in context-aware systems are also highlighted in this research. A detailed review on both the processes is provided in this research with their applications. Future research directions (challenges) are also highlighted which needs proper attention for the purpose of achieving the goal of realizing context-aware systems. PMID:24887042

  15. Understanding Social Disparities in Hypertension Prevalence, Awareness, Treatment, and Control: The Role of Neighborhood Context

    PubMed Central

    House, James S; Hansen, Ben B; Williams, David R; Kaplan, George A; Hunte, Haslyn E

    2007-01-01

    The spatial segregation of the U.S. population by socioeconomic position and especially race-ethnicity suggests that the social contexts or “neighborhoods” in which people live may substantially contribute to social disparities in hypertension. The Chicago Community Adult Health Study did face-to-face interviews, including direct measurement of blood pressure, with a representative probability sample of adults in Chicago. These data were used to estimate socioeconomic and racial-ethnic disparities in the prevalence, awareness, treatment, and control of hypertension, and to analyze how these disparities are related to the areas in which people live. Hypertension was significantly negatively associated with neighborhood affluence/gentrification, and adjustments for context eliminated the highly significant disparity between blacks/African-Americans and whites, and reduced the significant educational disparity by 10–15% to borderline statistical significance. Awareness of hypertension was significantly higher in more disadvantaged neighborhoods and in places with higher concentrations of blacks (and lower concentrations of Hispanics and immigrants). Adjustment for context completely eliminated blacks’ greater awareness, but slightly accentuated the lesser awareness of Hispanics and the greater levels of awareness among the less educated. There was no consistent evidence of either social disparities in or contextual associations with treatment of hypertension, given awareness. Among those on medication, blacks were only 40–50% as likely as whites to have their hypertension controlled, but context played little or no role in either the level of or disparities in control of hypertension. In sum, residential contexts potentially play a large role in accounting for racial-ethnic, and to a lesser degree, socioeconomic disparities in hypertension prevalence and, in a different way, awareness, but not in treatment or control of diagnosed hypertension. PMID:17640788

  16. A Wearable Context-Aware ECG Monitoring System Integrated with Built-in Kinematic Sensors of the Smartphone.

    PubMed

    Miao, Fen; Cheng, Yayu; He, Yi; He, Qingyun; Li, Ye

    2015-05-19

    Continuously monitoring the ECG signals over hours combined with activity status is very important for preventing cardiovascular diseases. A traditional ECG holter is often inconvenient to carry because it has many electrodes attached to the chest and because it is heavy. This work proposes a wearable, low power context-aware ECG monitoring system integrated built-in kinetic sensors of the smartphone with a self-designed ECG sensor. The wearable ECG sensor is comprised of a fully integrated analog front-end (AFE), a commercial micro control unit (MCU), a secure digital (SD) card, and a Bluetooth module. The whole sensor is very small with a size of only 58 × 50 × 10 mm for wearable monitoring application due to the AFE design, and the total power dissipation in a full round of ECG acquisition is only 12.5 mW. With the help of built-in kinetic sensors of the smartphone, the proposed system can compute and recognize user's physical activity, and thus provide context-aware information for the continuous ECG monitoring. The experimental results demonstrated the performance of proposed system in improving diagnosis accuracy for arrhythmias and identifying the most common abnormal ECG patterns in different activities. In conclusion, we provide a wearable, accurate and energy-efficient system for long-term and context-aware ECG monitoring without any extra cost on kinetic sensor design but with the help of the widespread smartphone.

  17. A Knowledge-Based Approach to Retrieving Teaching Materials for Context-Aware Learning

    ERIC Educational Resources Information Center

    Shih, Wen-Chung; Tseng, Shian-Shyong

    2009-01-01

    With the rapid development of wireless communication and sensor technologies, ubiquitous learning has become a promising solution to educational problems. In context-aware ubiquitous learning environments, it is required that learning content is retrieved according to environmental contexts, such as learners' location. Also, a learning content…

  18. A Novel Approach for Creating Activity-Aware Applications in a Hospital Environment

    NASA Astrophysics Data System (ADS)

    Bardram, Jakob E.

    Context-aware and activity-aware computing has been proposed as a way to adapt the computer to the user’s ongoing activity. However, deductively moving from physical context - like location - to establishing human activity has proved difficult. This paper proposes a novel approach to activity-aware computing. Instead of inferring activities, this approach enables the user to explicitly model their activity, and then use sensor-based events to create, manage, and use these computational activities adjusted to a specific context. This approach was crafted through a user-centered design process in collaboration with a hospital department. We propose three strategies for activity-awareness: context-based activity matching, context-based activity creation, and context-based activity adaptation. We present the implementation of these strategies and present an experimental evaluation of them. The experiments demonstrate that rather than considering context as information, context can be a relational property that links ’real-world activities’ with their ’computational activities’.

  19. The intelligent OR: design and validation of a context-aware surgical working environment.

    PubMed

    Franke, Stefan; Rockstroh, Max; Hofer, Mathias; Neumuth, Thomas

    2018-05-24

    Interoperability of medical devices based on standards starts to establish in the operating room (OR). Devices share their data and control functionalities. Yet, the OR technology rarely implements cooperative, intelligent behavior, especially in terms of active cooperation with the OR team. Technical context-awareness will be an essential feature of the next generation of medical devices to address the increasing demands to clinicians in information seeking, decision making, and human-machine interaction in complex surgical working environments. The paper describes the technical validation of an intelligent surgical working environment for endoscopic ear-nose-throat surgery. We briefly summarize the design of our framework for context-aware system's behavior in integrated OR and present example realizations of novel assistance functionalities. In a study on patient phantoms, twenty-four procedures were implemented in the proposed intelligent surgical working environment based on recordings of real interventions. Subsequently, the whole processing pipeline for context-awareness from workflow recognition to the final system's behavior is analyzed. Rule-based behavior that considers multiple perspectives on the procedure can partially compensate recognition errors. A considerable robustness could be achieved with a reasonable quality of the recognition. Overall, reliable reactive as well as proactive behavior of the surgical working environment can be implemented in the proposed environment. The obtained validation results indicate the suitability of the overall approach. The setup is a reliable starting point for a subsequent evaluation of the proposed context-aware assistance. The major challenge for future work will be to implement the complex approach in a cross-vendor setting.

  20. Criteria, Strategies and Research Issues of Context-Aware Ubiquitous Learning

    ERIC Educational Resources Information Center

    Hwang, Gwo-Jen; Tsai, Chin-Chung; Yang, Stephen J. H.

    2008-01-01

    Recent progress in wireless and sensor technologies has lead to a new development of learning environments, called context-aware ubiquitous learning environment, which is able to sense the situation of learners and provide adaptive supports. Many researchers have been investigating the development of such new learning environments; nevertheless,…

  1. Toward interactive context-aware affective educational recommendations in computer-assisted language learning

    NASA Astrophysics Data System (ADS)

    Santos, Olga C.; Saneiro, Mar; Boticario, Jesus G.; Rodriguez-Sanchez, M. C.

    2016-01-01

    This work explores the benefits of supporting learners affectively in a context-aware learning situation. This features a new challenge in related literature in terms of providing affective educational recommendations that take advantage of ambient intelligence and are delivered through actuators available in the environment, thus going beyond previous approaches which provided computer-based recommendation that present some text or tell aloud the learner what to do. To address this open issue, we have applied TORMES elicitation methodology, which has been used to investigate the potential of ambient intelligence for making more interactive recommendations in an emotionally challenging scenario (i.e. preparing for the oral examination of a second language learning course). Arduino open source electronics prototyping platform is used both to sense changes in the learners' affective state and to deliver the recommendation in a more interactive way through different complementary sensory communication channels (sight, hearing, touch) to cope with a universal design. An Ambient Intelligence Context-aware Affective Recommender Platform (AICARP) has been built to support the whole experience, which represents a progress in the state of the art. In particular, we have come up with what is most likely the first interactive context-aware affective educational recommendation. The value of this contribution lies in discussing methodological and practical issues involved.

  2. Mining Context-Aware Association Rules Using Grammar-Based Genetic Programming.

    PubMed

    Luna, Jose Maria; Pechenizkiy, Mykola; Del Jesus, Maria Jose; Ventura, Sebastian

    2017-09-25

    Real-world data usually comprise features whose interpretation depends on some contextual information. Such contextual-sensitive features and patterns are of high interest to be discovered and analyzed in order to obtain the right meaning. This paper formulates the problem of mining context-aware association rules, which refers to the search for associations between itemsets such that the strength of their implication depends on a contextual feature. For the discovery of this type of associations, a model that restricts the search space and includes syntax constraints by means of a grammar-based genetic programming methodology is proposed. Grammars can be considered as a useful way of introducing subjective knowledge to the pattern mining process as they are highly related to the background knowledge of the user. The performance and usefulness of the proposed approach is examined by considering synthetically generated datasets. A posteriori analysis on different domains is also carried out to demonstrate the utility of this kind of associations. For example, in educational domains, it is essential to identify and understand contextual and context-sensitive factors that affect overall and individual student behavior and performance. The results of the experiments suggest that the approach is feasible and it automatically identifies interesting context-aware associations from real-world datasets.

  3. A Context Awareness System for Online Learning: Design Based Research

    ERIC Educational Resources Information Center

    Laffey, James; Amelung, Chris; Goggins, Sean

    2009-01-01

    A design based research strategy examining the impressions and behavior of members of courses taught entirely online is used for refining a context-aware activity notification system (CANS). The findings show that CANS must address substantial variety in courses and members while also fitting with multitasking between online and real world…

  4. An Analysis of Context-Aware Data Models for Smart Cities: Towards Fiware and Etsi Cim Emerging Data Model

    NASA Astrophysics Data System (ADS)

    Jara, A. J.; Bocchi, Y.; Fernandez, D.; Molina, G.; Gomez, A.

    2017-09-01

    Smart Cities requires the support of context-aware and enriched semantic descriptions to support a scalable and cross-domain development of smart applications. For example, nowadays general purpose sensors such as crowd monitoring (counting people in an area), environmental information (pollution, air quality, temperature, humidity, noise) etc. can be used in multiple solutions with different objectives. For that reason, a data model that offers advanced capabilities for the description of context is required. This paper presents an overview of the available technologies for this purpose and how it is being addressed by the Open and Agile Smart Cities principles and FIWARE platform through the data models defined by the ETSI ISG Context Information Management (ETSI CIM).

  5. Context-Aware Mobile Collaborative Systems: Conceptual Modeling and Case Study

    PubMed Central

    Benítez-Guerrero, Edgard; Mezura-Godoy, Carmen; Montané-Jiménez, Luis G.

    2012-01-01

    A Mobile Collaborative System (MCOS) enable the cooperation of the members of a team to achieve a common goal by using a combination of mobile and fixed technologies. MCOS can be enhanced if the context of the group of users is considered in the execution of activities. This paper proposes a novel model for Context-Aware Mobile COllaborative Systems (CAMCOS) and a functional architecture based on that model. In order to validate both the model and the architecture, a prototype system in the tourism domain was implemented and evaluated. PMID:23202007

  6. Peer Interaction and Social Network Analysis of Online Communities with the Support of Awareness of Different Contexts

    ERIC Educational Resources Information Center

    Lin, Jian-Wei; Mai, Li-Jung; Lai, Yung-Cheng

    2015-01-01

    Although several studies related to social-context awareness (SA) and knowledge-context awareness (KA) argued that each (SA or KA) can individually enhance peer interaction in an online learning community, other studies reached opposite conclusions. These conflicting findings likely stem from different experimental settings. Most importantly, few…

  7. Theorizing College Governance across Epistemic Differences: Awareness Contexts of College Administrators and Faculty

    ERIC Educational Resources Information Center

    Muzzin, Linda

    2016-01-01

    Awareness contexts are useful concepts in symbolic interactionist research, which focusses on how everyday realities are constructed. To provide a fresh perspective on governance in Canada's colleges, I sorted vignettes in interview data collected from administrators and faculty into four types of contexts originally derived from observation of…

  8. Context-aware system for pre-triggering irreversible vehicle safety actuators.

    PubMed

    Böhmländer, Dennis; Dirndorfer, Tobias; Al-Bayatti, Ali H; Brandmeier, Thomas

    2017-06-01

    New vehicle safety systems have led to a steady improvement of road safety and a reduction in the risk of suffering a major injury in vehicle accidents. A huge leap forward in the development of new vehicle safety systems are actuators that have to be activated irreversibly shortly before a collision in order to mitigate accident consequences. The triggering decision has to be based on measurements of exteroceptive sensors currently used in driver assistance systems. This paper focuses on developing a novel context-aware system designed to detect potential collisions and to trigger safety actuators even before an accident occurs. In this context, the analysis examines the information that can be collected from exteroceptive sensors (pre-crash data) to predict a certain collision and its severity to decide whether a triggering is entitled or not. A five-layer context-aware architecture is presented, that is able to collect contextual information about the vehicle environment and the actual driving state using different sensors, to perform reasoning about potential collisions, and to trigger safety functions upon that information. Accident analysis is used in a data model to represent uncertain knowledge and to perform reasoning. A simulation concept based on real accident data is introduced to evaluate the presented system concept. Copyright © 2017 Elsevier Ltd. All rights reserved.

  9. Staff's awareness of abuse in health care varies according to context and possibilities to act.

    PubMed

    Swahnberg, Katarina; Wijma, Barbro

    2011-06-01

    The aim of this study was to explore awareness of abuse in health care (AHC) from a staff perspective. Patient evaluation studies often focus on patient satisfaction, and serious negative experiences might therefore be obscured. In our research, we have found that abuse in health care (AHC) is commonly reported by male and female patients, when asked for in a strait way, but so far no intervention studies against AHC have been published. Investigating staff's awareness of AHC is our first step toward developing interventions against AHC. Data were collected at a Swedish clinic of obstetrics and gynecology. Qualitative interviews with 21 informants were analysed with constant comparative analyses. The core category - 'Staff's awareness of AHC varies according to context and possibilities to act' - was derived from the interaction between five categories; Moral imagination, Relativism, Explanations, Dissociation from AHC and Acting against AHC. Awareness of AHC was not a permanent state that did/did not exist as all participants displayed both high and low awareness; depending on the context. Staff's awareness depends on more than personal characteristics; therefore, AHC interventions have to target individual behavior as well as cultures and structures in health care.

  10. Solving LR Conflicts Through Context Aware Scanning

    NASA Astrophysics Data System (ADS)

    Leon, C. Rodriguez; Forte, L. Garcia

    2011-09-01

    This paper presents a new algorithm to compute the exact list of tokens expected by any LR syntax analyzer at any point of the scanning process. The lexer can, at any time, compute the exact list of valid tokens to return only tokens in this set. In the case than more than one matching token is in the valid set, the lexer can resort to a nested LR parser to disambiguate. Allowing nested LR parsing requires some slight modifications when building the LR parsing tables. We also show how LR parsers can parse conflictive and inherently ambiguous languages using a combination of nested parsing and context aware scanning. These expanded lexical analyzers can be generated from high level specifications.

  11. Context-aware and locality-constrained coding for image categorization.

    PubMed

    Xiao, Wenhua; Wang, Bin; Liu, Yu; Bao, Weidong; Zhang, Maojun

    2014-01-01

    Improving the coding strategy for BOF (Bag-of-Features) based feature design has drawn increasing attention in recent image categorization works. However, the ambiguity in coding procedure still impedes its further development. In this paper, we introduce a context-aware and locality-constrained Coding (CALC) approach with context information for describing objects in a discriminative way. It is generally achieved by learning a word-to-word cooccurrence prior to imposing context information over locality-constrained coding. Firstly, the local context of each category is evaluated by learning a word-to-word cooccurrence matrix representing the spatial distribution of local features in neighbor region. Then, the learned cooccurrence matrix is used for measuring the context distance between local features and code words. Finally, a coding strategy simultaneously considers locality in feature space and context space, while introducing the weight of feature is proposed. This novel coding strategy not only semantically preserves the information in coding, but also has the ability to alleviate the noise distortion of each class. Extensive experiments on several available datasets (Scene-15, Caltech101, and Caltech256) are conducted to validate the superiority of our algorithm by comparing it with baselines and recent published methods. Experimental results show that our method significantly improves the performance of baselines and achieves comparable and even better performance with the state of the arts.

  12. Context-Awareness Based Personalized Recommendation of Anti-Hypertension Drugs.

    PubMed

    Chen, Dexin; Jin, Dawei; Goh, Tiong-Thye; Li, Na; Wei, Leiru

    2016-09-01

    The World Health Organization estimates that almost one-third of the world's adult population are suffering from hypertension which has gradually become a "silent killer". Due to the varieties of anti-hypertensive drugs, patients are interested in how these drugs can be selected to match their respective conditions. This study provides a personalized recommendation service system of anti-hypertensive drugs based on context-awareness and designs a context ontology framework of the service. In addition, this paper introduces a Semantic Web Rule Language (SWRL)-based rule to provide high-level context reasoning and information recommendation and to overcome the limitation of ontology reasoning. To make the information recommendation of the drugs more personalized, this study also devises three categories of information recommendation rules that match different priority levels and uses a ranking algorithm to optimize the recommendation. The experiment conducted shows that combining the anti-hypertensive drugs personalized recommendation service context ontology (HyRCO) with the optimized rule reasoning can achieve a higher-quality personalized drug recommendation service. Accordingly this exploratory study of the personalized recommendation service for hypertensive drugs and its method can be easily adopted for other diseases.

  13. Demonstrating the CollaTrEx Framework for Collaborative Context-Aware Mobile Training and Exploration

    ERIC Educational Resources Information Center

    Botev, Jean

    2016-01-01

    The CollaTrEx framework for collaborative context-aware mobile training and exploration is designed for the in-situ collaboration within groups of learners performing together diverse educational activities to explore their environment in a fun and intuitive way. It employs both absolute and relative spatio-temporal context for determining…

  14. A Context-Aware Method for Authentically Simulating Outdoors Shadows for Mobile Augmented Reality.

    PubMed

    Barreira, Joao; Bessa, Maximino; Barbosa, Luis; Magalhaes, Luis

    2018-03-01

    Visual coherence between virtual and real objects is a major issue in creating convincing augmented reality (AR) applications. To achieve this seamless integration, actual light conditions must be determined in real time to ensure that virtual objects are correctly illuminated and cast consistent shadows. In this paper, we propose a novel method to estimate daylight illumination and use this information in outdoor AR applications to render virtual objects with coherent shadows. The illumination parameters are acquired in real time from context-aware live sensor data. The method works under unprepared natural conditions. We also present a novel and rapid implementation of a state-of-the-art skylight model, from which the illumination parameters are derived. The Sun's position is calculated based on the user location and time of day, with the relative rotational differences estimated from a gyroscope, compass and accelerometer. The results illustrated that our method can generate visually credible AR scenes with consistent shadows rendered from recovered illumination.

  15. College Students' Conceptions of Context-Aware Ubiquitous Learning: A Phenomenographic Analysis

    ERIC Educational Resources Information Center

    Tsai, Pei-Shan; Tsai, Chin-Chung; Hwang, Gwo-Haur

    2011-01-01

    The purpose of this study was to explore students' conceptions of context-aware ubiquitous learning (u-learning). The students participated in a u-learning exercise using PDAs equipped with RFID readers. The data were collected from individual interviews with each of the students by a trained researcher, and the responses of the interviewees were…

  16. A Context-Aware Self-Adaptive Fractal Based Generalized Pedagogical Agent Framework for Mobile Learning

    ERIC Educational Resources Information Center

    Boulehouache, Soufiane; Maamri, Ramdane; Sahnoun, Zaidi

    2015-01-01

    The Pedagogical Agents (PAs) for Mobile Learning (m-learning) must be able not only to adapt the teaching to the learner knowledge level and profile but also to ensure the pedagogical efficiency within unpredictable changing runtime contexts. Therefore, to deal with this issue, this paper proposes a Context-aware Self-Adaptive Fractal Component…

  17. Situational Awareness Geospatial Application (iSAGA)

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Sher, Benjamin

    Situational Awareness Geospatial Application (iSAGA) is a geospatial situational awareness software tool that uses an algorithm to extract location data from nearly any internet-based, or custom data source and display it geospatially; allows user-friendly conduct of spatial analysis using custom-developed tools; searches complex Geographic Information System (GIS) databases and accesses high resolution imagery. iSAGA has application at the federal, state and local levels of emergency response, consequence management, law enforcement, emergency operations and other decision makers as a tool to provide complete, visual, situational awareness using data feeds and tools selected by the individual agency or organization. Feeds may bemore » layered and custom tools developed to uniquely suit each subscribing agency or organization. iSAGA may similarly be applied to international agencies and organizations.« less

  18. Augmenting Traditional Books with Context-Aware Learning Supports from Online Learning Communities

    ERIC Educational Resources Information Center

    Chen, Gwo-Dong; Chao, Po-Yao

    2008-01-01

    Recent advances in ubiquitous computing technologies have brought reality augmentation of traditional objects to context-aware and social supports. Although a significant proportion of students prefer poring over traditional paper textbooks over electronic books, few studies have enhanced reading practice of traditional books with ubiquitous…

  19. Context-Aware Based Efficient Training System Using Augmented Reality and Gravity Sensor for Healthcare Services

    NASA Astrophysics Data System (ADS)

    Kim, Seoksoo; Jung, Sungmo; Song, Jae-Gu; Kang, Byong-Ho

    As augmented reality and a gravity sensor is of growing interest, siginificant developement is being made on related technology, which allows application of the technology in a variety of areas with greater expectations. In applying Context-aware to augmented reality, it can make useful programs. A traning system suggested in this study helps a user to understand an effcienct training method using augmented reality and make sure if his exercise is being done propery based on the data collected by a gravity sensor. Therefore, this research aims to suggest an efficient training environment that can enhance previous training methods by applying augmented reality and a gravity sensor.

  20. A practical indoor context-aware surveillance system with multi-Kinect sensors

    NASA Astrophysics Data System (ADS)

    Jia, Lili; You, Ying; Li, Tiezhu; Zhang, Shun

    2014-11-01

    In this paper we develop a novel practical application, which give scalable services to the end users when abnormal actives are happening. Architecture of the application has been presented consisting of network infrared cameras and a communication module. In this intelligent surveillance system we use Kinect sensors as the input cameras. Kinect is an infrared laser camera which its user can access the raw infrared sensor stream. We install several Kinect sensors in one room to track the human skeletons. Each sensor returns the body positions with 15 coordinates in its own coordinate system. We use calibration algorithms to calibrate all the body positions points into one unified coordinate system. With the body positions points, we can infer the surveillance context. Furthermore, the messages from the metadata index matrix will be sent to mobile phone through communication module. User will instantly be aware of an abnormal case happened in the room without having to check the website. In conclusion, theoretical analysis and experimental results in this paper show that the proposed system is reasonable and efficient. And the application method introduced in this paper is not only to discourage the criminals and assist police in the apprehension of suspects, but also can enabled the end-users monitor the indoor environments anywhere and anytime by their phones.

  1. Analyzing the Effects of Context-Aware Mobile Design Principles on Student Learning

    ERIC Educational Resources Information Center

    Seneca, Eric

    2014-01-01

    The adoption of mobile technology is rapidly transforming how individuals obtain information. Learning occurs when content is accessed in a recursive process of awareness, exploration, reflection and resolution within one's social context. Specifically, the most visible, current definitions of mobile learning provide an overview of the learning…

  2. Review of Self-Awareness and Its Clinical Application in Stroke Rehabilitation

    ERIC Educational Resources Information Center

    Leung, Daniel P. K.; Liu, Karen P. Y.

    2011-01-01

    The objectives of this study were (i) to explore, following a literature review, the concepts of self-awareness, its assessment, and intervention for self-awareness deficits, as well as its clinical significance in stroke rehabilitation; and (ii) to apply the concepts of self-awareness in the context of a rehabilitation program. The search was…

  3. ERMHAN: A Context-Aware Service Platform to Support Continuous Care Networks for Home-Based Assistance

    PubMed Central

    Paganelli, Federica; Spinicci, Emilio; Giuli, Dino

    2008-01-01

    Continuous care models for chronic diseases pose several technology-oriented challenges for home-based continuous care, where assistance services rely on a close collaboration among different stakeholders such as health operators, patient relatives, and social community members. Here we describe Emilia Romagna Mobile Health Assistance Network (ERMHAN) a multichannel context-aware service platform designed to support care networks in cooperating and sharing information with the goal of improving patient quality of life. In order to meet extensibility and flexibility requirements, this platform has been developed through ontology-based context-aware computing and a service oriented approach. We also provide some preliminary results of performance analysis and user survey activity. PMID:18695739

  4. iMuseumA: An Agent-Based Context-Aware Intelligent Museum System

    PubMed Central

    Ayala, Inmaculada; Amor, Mercedes; Pinto, Mónica; Fuentes, Lidia; Gámez, Nadia

    2014-01-01

    Currently, museums provide their visitors with interactive tour guide applications that can be installed in mobile devices and provide timely tailor-made multimedia information about exhibits on display. In this paper, we argue that mobile devices not only could provide help to visitors, but also to museum staff. Our goal is to integrate, within the same system, multimedia tour guides with the management facilities required by museums. In this paper, we present iMuseumA (intelligent museum with agents), a mobile-based solution to customize visits and perform context-aware management tasks. iMuseumA follows an agent-based approach, which makes it possible to interact easily with the museum environment and make decisions based on its current status. This system is currently deployed in the Museum of Informatics at the Informatics School of the University of Málaga, and its main contributions are: (i) a mobile application that provides management facilities to museum staff by means of sensing and processing environmental data; (ii) providing an integrated solution for visitors, tour guides and museum staff that allows coordination and communication enrichment among different groups of users; (iii) using and benefiting from group communication for heterogeneous groups of users that can be created on demand. PMID:25390409

  5. iMuseumA: an agent-based context-aware intelligent museum system.

    PubMed

    Ayala, Inmaculada; Amor, Mercedes; Pinto, Mónica; Fuentes, Lidia; Gámez, Nadia

    2014-11-10

    Currently, museums provide their visitors with interactive tour guide applications that can be installed in mobile devices and provide timely tailor-made multimedia information about exhibits on display. In this paper, we argue that mobile devices not only could provide help to visitors, but also to museum staff. Our goal is to integrate, within the same system, multimedia tour guides with the management facilities required by museums. In this paper, we present iMuseumA (intelligent museum with agents), a mobile-based solution to customize visits and perform context-aware management tasks. iMuseumA follows an agent-based approach, which makes it possible to interact easily with the museum environment and make decisions based on its current status. This system is currently deployed in the Museum of Informatics at the Informatics School of the University of Málaga, and its main contributions are: (i) a mobile application that provides management facilities to museum staff by means of sensing and processing environmental data; (ii) providing an integrated solution for visitors, tour guides and museum staff that allows coordination and communication enrichment among different groups of users; (iii) using and benefiting from group communication for heterogeneous groups of users that can be created on demand.

  6. Architecture for WSN Nodes Integration in Context Aware Systems Using Semantic Messages

    NASA Astrophysics Data System (ADS)

    Larizgoitia, Iker; Muguira, Leire; Vazquez, Juan Ignacio

    Wireless sensor networks (WSN) are becoming extremely popular in the development of context aware systems. Traditionally WSN have been focused on capturing data, which was later analyzed and interpreted in a server with more computational power. In this kind of scenario the problem of representing the sensor information needs to be addressed. Every node in the network might have different sensors attached; therefore their correspondent packet structures will be different. The server has to be aware of the meaning of every single structure and data in order to be able to interpret them. Multiple sensors, multiple nodes, multiple packet structures (and not following a standard format) is neither scalable nor interoperable. Context aware systems have solved this problem with the use of semantic technologies. They provide a common framework to achieve a standard definition of any domain. Nevertheless, these representations are computationally expensive, so a WSN cannot afford them. The work presented in this paper tries to bridge the gap between the sensor information and its semantic representation, by defining a simple architecture that enables the definition of this information natively in a semantic way, achieving the integration of the semantic information in the network packets. This will have several benefits, the most important being the possibility of promoting every WSN node to a real semantic information source.

  7. Explicit Context Matching in Content-Based Publish/Subscribe Systems

    PubMed Central

    Vavassori, Sergio; Soriano, Javier; Lizcano, David; Jiménez, Miguel

    2013-01-01

    Although context could be exploited to improve performance, elasticity and adaptation in most distributed systems that adopt the publish/subscribe (P/S) communication model, only a few researchers have focused on the area of context-aware matching in P/S systems and have explored its implications in domains with highly dynamic context like wireless sensor networks (WSNs) and IoT-enabled applications. Most adopted P/S models are context agnostic or do not differentiate context from the other application data. In this article, we present a novel context-aware P/S model. SilboPS manages context explicitly, focusing on the minimization of network overhead in domains with recurrent context changes related, for example, to mobile ad hoc networks (MANETs). Our approach represents a solution that helps to efficiently share and use sensor data coming from ubiquitous WSNs across a plethora of applications intent on using these data to build context awareness. Specifically, we empirically demonstrate that decoupling a subscription from the changing context in which it is produced and leveraging contextual scoping in the filtering process notably reduces (un)subscription cost per node, while improving the global performance/throughput of the network of brokers without altering the cost of SIENA-like topology changes. PMID:23529118

  8. Internet of Things: A Review of Surveys Based on Context Aware Intelligent Services.

    PubMed

    Gil, David; Ferrández, Antonio; Mora-Mora, Higinio; Peral, Jesús

    2016-07-11

    The Internet of Things (IoT) has made it possible for devices around the world to acquire information and store it, in order to be able to use it at a later stage. However, this potential opportunity is often not exploited because of the excessively big interval between the data collection and the capability to process and analyse it. In this paper, we review the current IoT technologies, approaches and models in order to discover what challenges need to be met to make more sense of data. The main goal of this paper is to review the surveys related to IoT in order to provide well integrated and context aware intelligent services for IoT. Moreover, we present a state-of-the-art of IoT from the context aware perspective that allows the integration of IoT and social networks in the emerging Social Internet of Things (SIoT) term.

  9. Internet of Things: A Review of Surveys Based on Context Aware Intelligent Services

    PubMed Central

    Gil, David; Ferrández, Antonio; Mora-Mora, Higinio; Peral, Jesús

    2016-01-01

    The Internet of Things (IoT) has made it possible for devices around the world to acquire information and store it, in order to be able to use it at a later stage. However, this potential opportunity is often not exploited because of the excessively big interval between the data collection and the capability to process and analyse it. In this paper, we review the current IoT technologies, approaches and models in order to discover what challenges need to be met to make more sense of data. The main goal of this paper is to review the surveys related to IoT in order to provide well integrated and context aware intelligent services for IoT. Moreover, we present a state-of-the-art of IoT from the context aware perspective that allows the integration of IoT and social networks in the emerging Social Internet of Things (SIoT) term. PMID:27409623

  10. Activity Theory Approach to Developing Context-Aware Mobile Learning Systems for Understanding Scientific Phenomenon and Theories

    ERIC Educational Resources Information Center

    Uden, Lorna; Hwang, Gwo-Jen

    2013-01-01

    Mobile computing offers potential opportunities for students' learning especially when it combines a sensing device such as RFID (Radio Frequency Identification). Researchers have indicated that a key feature of in-field learning supported by mobile devices and technology is context awareness, with which context and functionality provided by…

  11. Prototype of an auto-calibrating, context-aware, hybrid brain-computer interface.

    PubMed

    Faller, J; Torrellas, S; Miralles, F; Holzner, C; Kapeller, C; Guger, C; Bund, J; Müller-Putz, G R; Scherer, R

    2012-01-01

    We present the prototype of a context-aware framework that allows users to control smart home devices and to access internet services via a Hybrid BCI system of an auto-calibrating sensorimotor rhythm (SMR) based BCI and another assistive device (Integra Mouse mouth joystick). While there is extensive literature that describes the merit of Hybrid BCIs, auto-calibrating and co-adaptive ERD BCI training paradigms, specialized BCI user interfaces, context-awareness and smart home control, there is up to now, no system that includes all these concepts in one integrated easy-to-use framework that can truly benefit individuals with severe functional disabilities by increasing independence and social inclusion. Here we integrate all these technologies in a prototype framework that does not require expert knowledge or excess time for calibration. In a first pilot-study, 3 healthy volunteers successfully operated the system using input signals from an ERD BCI and an Integra Mouse and reached average positive predictive values (PPV) of 72 and 98% respectively. Based on what we learned here we are planning to improve the system for a test with a larger number of healthy volunteers so we can soon bring the system to benefit individuals with severe functional disability.

  12. A Context-Aware S-Health Service System for Drivers.

    PubMed

    Chang, Jingkun; Yao, Wenbin; Li, Xiaoyong

    2017-03-17

    As a stressful and sensitive task, driving can be disturbed by various factors from the health condition of the driver to the environmental variables of the vehicle. Continuous monitoring of driving hazards and providing the most appropriate business services to meet actual needs can guarantee safe driving and make great use of the existing information resources and business services. However, there is no in-depth research on the perception of a driver's health status or the provision of customized business services in case of various hazardous situations. In order to constantly monitor the health status of the drivers and react to abnormal situations, this paper proposes a context-aware service system providing a configurable architecture for the design and implementation of the smart health service system for safe driving, which can perceive a driver's health status and provide helpful services to the driver. With the context-aware technology to construct a smart health services system for safe driving, this is the first time that such a service system has been implemented in practice. Additionally, an assessment model is proposed to mitigate the impact of the acceptable abnormal status and, thus, reduce the unnecessary invocation of the services. With regard to different assessed situations, the business services can be invoked for the driver to adapt to hazardous situations according to the services configuration model, which can take full advantage of the existing information resources and business services. The evaluation results indicate that the alteration of the observed status in a valid time range T can be tolerated and the frequency of the service invocation can be reduced.

  13. A Context-Aware S-Health Service System for Drivers

    PubMed Central

    Chang, Jingkun; Yao, Wenbin; Li, Xiaoyong

    2017-01-01

    As a stressful and sensitive task, driving can be disturbed by various factors from the health condition of the driver to the environmental variables of the vehicle. Continuous monitoring of driving hazards and providing the most appropriate business services to meet actual needs can guarantee safe driving and make great use of the existing information resources and business services. However, there is no in-depth research on the perception of a driver’s health status or the provision of customized business services in case of various hazardous situations. In order to constantly monitor the health status of the drivers and react to abnormal situations, this paper proposes a context-aware service system providing a configurable architecture for the design and implementation of the smart health service system for safe driving, which can perceive a driver’s health status and provide helpful services to the driver. With the context-aware technology to construct a smart health services system for safe driving, this is the first time that such a service system has been implemented in practice. Additionally, an assessment model is proposed to mitigate the impact of the acceptable abnormal status and, thus, reduce the unnecessary invocation of the services. With regard to different assessed situations, the business services can be invoked for the driver to adapt to hazardous situations according to the services configuration model, which can take full advantage of the existing information resources and business services. The evaluation results indicate that the alteration of the observed status in a valid time range T can be tolerated and the frequency of the service invocation can be reduced. PMID:28304330

  14. Ubiquitous Geo-Sensing for Context-Aware Analysis: Exploring Relationships between Environmental and Human Dynamics

    PubMed Central

    Sagl, Günther; Blaschke, Thomas; Beinat, Euro; Resch, Bernd

    2012-01-01

    Ubiquitous geo-sensing enables context-aware analyses of physical and social phenomena, i.e., analyzing one phenomenon in the context of another. Although such context-aware analysis can potentially enable a more holistic understanding of spatio-temporal processes, it is rarely documented in the scientific literature yet. In this paper we analyzed the collective human behavior in the context of the weather. We therefore explored the complex relationships between these two spatio-temporal phenomena to provide novel insights into the dynamics of urban systems. Aggregated mobile phone data, which served as a proxy for collective human behavior, was linked with the weather data from climate stations in the case study area, the city of Udine, Northern Italy. To identify and characterize potential patterns within the weather-human relationships, we developed a hybrid approach which integrates several spatio-temporal statistical analysis methods. Thereby we show that explanatory factor analysis, when applied to a number of meteorological variables, can be used to differentiate between normal and adverse weather conditions. Further, we measured the strength of the relationship between the ‘global’ adverse weather conditions and the spatially explicit effective variations in user-generated mobile network traffic for three distinct periods using the Maximal Information Coefficient (MIC). The analyses result in three spatially referenced maps of MICs which reveal interesting insights into collective human dynamics in the context of weather, but also initiate several new scientific challenges. PMID:23012571

  15. Context-Aware Intelligent Assistant Approach to Improving Pilot's Situational Awareness

    NASA Technical Reports Server (NTRS)

    Spirkovska, Lilly; Lodha, Suresh K.

    2004-01-01

    Faulty decision making due to inaccurate or incomplete awareness of the situation tends to be the prevailing cause of fatal general aviation accidents. Of these accidents, loss of weather situational awareness accounts for the largest number of fatalities. We describe a method for improving weather situational awareness through the support of a contextaware,domain and task knowledgeable, personalized and adaptive assistant. The assistant automatically monitors weather reports for the pilot's route of flight and warns her of detected anomalies. When and how warnings are issued is determined by phase of flight, the pilot s definition of acceptable weather conditions, and the pilot's preferences for automatic notification. In addition to automatic warnings, the pilot is able to verbally query for weather and airport information. By noting the requests she makes during the approach phase of flight, our system learns to provide the information without explicit requests on subsequent flights with similar conditions. We show that our weather assistant decreases the effort required to maintain situational awareness by more than 5.5 times when compared to the conventional method of in-flight weather briefings.

  16. A Context-Aware Indoor Air Quality System for Sudden Infant Death Syndrome Prevention

    PubMed Central

    De Paz, Juan F.; Barriuso, Alberto L.

    2018-01-01

    Context-aware monitoring systems designed for e-Health solutions and ambient assisted living (AAL) play an important role in today’s personalized health-care services. The majority of these systems are intended for the monitoring of patients’ vital signs by means of bio-sensors. At present, there are very few systems that monitor environmental conditions and air quality in the homes of users. A home’s environmental conditions can have a significant influence on the state of the health of its residents. Monitoring the environment is the key to preventing possible diseases caused by conditions that do not favor health. This paper presents a context-aware system that monitors air quality to prevent a specific health problem at home. The aim of this system is to reduce the incidence of the Sudden Infant Death Syndrome, which is triggered mainly by environmental factors. In the conducted case study, the system monitored the state of the neonate and the quality of air while it was asleep. The designed proposal is characterized by its low cost and non-intrusive nature. The results are promising. PMID:29498653

  17. A Context-Aware Indoor Air Quality System for Sudden Infant Death Syndrome Prevention.

    PubMed

    De La Iglesia, Daniel H; De Paz, Juan F; Villarrubia González, Gabriel; Barriuso, Alberto L; Bajo, Javier

    2018-03-02

    Context-aware monitoring systems designed for e-Health solutions and ambient assisted living (AAL) play an important role in today's personalized health-care services. The majority of these systems are intended for the monitoring of patients' vital signs by means of bio-sensors. At present, there are very few systems that monitor environmental conditions and air quality in the homes of users. A home's environmental conditions can have a significant influence on the state of the health of its residents. Monitoring the environment is the key to preventing possible diseases caused by conditions that do not favor health. This paper presents a context-aware system that monitors air quality to prevent a specific health problem at home. The aim of this system is to reduce the incidence of the Sudden Infant Death Syndrome, which is triggered mainly by environmental factors. In the conducted case study, the system monitored the state of the neonate and the quality of air while it was asleep. The designed proposal is characterized by its low cost and non-intrusive nature. The results are promising.

  18. An Adaptive Navigation Support System for Conducting Context-Aware Ubiquitous Learning in Museums

    ERIC Educational Resources Information Center

    Chiou, Chuang-Kai; Tseng, Judy C. R.; Hwang, Gwo-Jen; Heller, Shelly

    2010-01-01

    In context-aware ubiquitous learning, students are guided to learn in the real world with personalized supports from the learning system. As the learning resources are realistic objects in the real world, certain physical constraints, such as the limitation of stream of people who visit the same learning object, the time for moving from one object…

  19. Involuntary awareness and implicit priming: role of retrieval context.

    PubMed

    Zhou, Renlai; Hu, Senqi; Sun, Xuefei; Huang, Junhong

    2006-10-01

    This study examined the role of retrieval context in implicit priming by manipulating percentage of word-stem index as shallow and deep processing while performing a word-stem completion task. 80 subjects were randomly divided into four groups each of 20 subjects: shallow processing or deep processing with few retrieval indices, and shallow processing or deep processing with many retrieval indices. Analysis indicated that proportion of word-stem completion was significantly higher for studied words than for nonstudied words in all four groups and that the subjects in the groups with many retrieval indices had a significantly increased proportion of word-stem completion between studied and nonstudied words than those in the groups with few retrieval indices. Postquestionnaire analysis indicated that more previously studied items were retrieved if many studied items were available during implicit word-stem completion and that only a small proportion of word-stem completion was finished with studied words by the subjects who were aware of the prior studied and test word relations in all four groups. It was concluded that having more studied words retrievable contributed to more being retrieved and that involuntary awareness had very limited influence on the priming in the implicit word-stem completion.

  20. Increasing tsunami risk awareness via mobile application

    NASA Astrophysics Data System (ADS)

    Leelawat, N.; Suppasri, A.; Latcharote, P.; Imamura, F.; Abe, Y.; Sugiyasu, K.

    2017-02-01

    In the information and communication technology era, smartphones have become a necessity. With the capacity and availability of smart technologies, a number of benefits are possible. As a result, designing a mobile application to increase tsunami awareness has been proposed, and a prototype has been designed and developed. The application uses data from the 2011 Great East Japan Tsunami. Based on the current location determined by a GPS function matched with the nearest point extracted from the detailed mesh data of that earlier disaster, the application generates the inundation depth at the user’s location. Thus, not only local people but also tourists visiting the affected areas can understand the risks involved. Application testing has been conducted in an evacuation experiment involving both Japanese and foreign students. The proposed application can be used as a supplementary information tool in tsunami evacuation drills. It also supports the idea of smart tourism: when people realize their risks, they possess risk awareness and hence can reduce their risks. This application can also be considered a contribution to disaster knowledge and technology, as well as to the lessons learned from the practical outcome.

  1. A novel framework to alleviate the sparsity problem in context-aware recommender systems

    NASA Astrophysics Data System (ADS)

    Yu, Penghua; Lin, Lanfen; Wang, Jing

    2017-04-01

    Recommender systems have become indispensable for services in the era of big data. To improve accuracy and satisfaction, context-aware recommender systems (CARSs) attempt to incorporate contextual information into recommendations. Typically, valid and influential contexts are determined in advance by domain experts or feature selection approaches. Most studies have focused on utilizing the unitary context due to the differences between various contexts. Meanwhile, multi-dimensional contexts will aggravate the sparsity problem, which means that the user preference matrix would become extremely sparse. Consequently, there are not enough or even no preferences in most multi-dimensional conditions. In this paper, we propose a novel framework to alleviate the sparsity issue for CARSs, especially when multi-dimensional contextual variables are adopted. Motivated by the intuition that the overall preferences tend to show similarities among specific groups of users and conditions, we first explore to construct one contextual profile for each contextual condition. In order to further identify those user and context subgroups automatically and simultaneously, we apply a co-clustering algorithm. Furthermore, we expand user preferences in a given contextual condition with the identified user and context clusters. Finally, we perform recommendations based on expanded preferences. Extensive experiments demonstrate the effectiveness of the proposed framework.

  2. Review of self-awareness and its clinical application in stroke rehabilitation.

    PubMed

    Leung, Daniel P K; Liu, Karen P Y

    2011-09-01

    The objectives of this study were (i) to explore, following a literature review, the concepts of self-awareness, its assessment, and intervention for self-awareness deficits, as well as its clinical significance in stroke rehabilitation; and (ii) to apply the concepts of self-awareness in the context of a rehabilitation program. The search was conducted by the electronic databases Web of Science, Science Direct, MEDLINE, and PsychcInfo. A systematic literature search of publications written in English between 1980 and 2010 was conducted using the keywords, self-awareness or self-regulation. The search was limited to the following keywords: stroke, deficits, assessment, intervention, and rehabilitation. Two important conceptual models, namely, the Pyramid Model of Self-Awareness and the Dynamic Comprehensive Model of Awareness, were reviewed. Suggestions were made to the constraint-induced movement therapy for enhancement of both assessment and treatment of self-awareness deficits. In conclusion, self-awareness is essential for the success of rehabilitation. It is hoped that more studies can be conducted on the effectiveness of awareness enhancement programs incorporated in on-going therapies can be conducted, so that the evidence base can be further built up in this evolving area of practice.

  3. Alarm Fatigue vs User Expectations Regarding Context-Aware Alarm Handling in Hospital Environments Using CallMeSmart.

    PubMed

    Solvoll, Terje; Arntsen, Harald; Hartvigsen, Gunnar

    2017-01-01

    Surveys and research show that mobile communication systems in hospital settings are old and cause frequent interruptions. In the quest to remedy this, an Android based communication system called CallMeSmart tries to encapsulate most of the frequent communication into one hand held device focusing on reducing interruptions and at the same time make the workday easier for healthcare workers. The objective of CallMeSmart is to use context-awareness techniques to automatically monitor the availability of physicians' and nurses', and use this information to prevent or route phone calls, text messages, pages and alarms that would otherwise compromise patient care. In this paper, we present the results from interviewing nurses on alarm fatigue and their expectations regarding context-aware alarm handling using CallMeSmart.

  4. Energy Efficiency in Public Buildings through Context-Aware Social Computing

    PubMed Central

    García, Óscar; Alonso, Ricardo S.; Prieto, Javier; Corchado, Juan M.

    2017-01-01

    The challenge of promoting behavioral changes in users that leads to energy savings in public buildings has become a complex task requiring the involvement of multiple technologies. Wireless sensor networks have a great potential for the development of tools, such as serious games, that encourage acquiring good energy and healthy habits among users in the workplace. This paper presents the development of a serious game using CAFCLA, a framework that allows for integrating multiple technologies, which provide both context-awareness and social computing. Game development has shown that the data provided by sensor networks encourage users to reduce energy consumption in their workplace and that social interactions and competitiveness allow for accelerating the achievement of good results and behavioral changes that favor energy savings. PMID:28398237

  5. Energy Efficiency in Public Buildings through Context-Aware Social Computing.

    PubMed

    García, Óscar; Alonso, Ricardo S; Prieto, Javier; Corchado, Juan M

    2017-04-11

    The challenge of promoting behavioral changes in users that leads to energy savings in public buildings has become a complex task requiring the involvement of multiple technologies. Wireless sensor networks have a great potential for the development of tools, such as serious games, that encourage acquiring good energy and healthy habits among users in the workplace. This paper presents the development of a serious game using CAFCLA, a framework that allows for integrating multiple technologies, which provide both context-awareness and social computing. Game development has shown that the data provided by sensor networks encourage users to reduce energy consumption in their workplace and that social interactions and competitiveness allow for accelerating the achievement of good results and behavioral changes that favor energy savings.

  6. Development Context Driven Change Awareness and Analysis Framework

    NASA Technical Reports Server (NTRS)

    Sarma, Anita; Branchaud, Josh; Dwyer, Matthew B.; Person, Suzette; Rungta, Neha

    2014-01-01

    Recent work on workspace monitoring allows conflict prediction early in the development process, however, these approaches mostly use syntactic differencing techniques to compare different program versions. In contrast, traditional change-impact analysis techniques analyze related versions of the program only after the code has been checked into the master repository. We propose a novel approach, De- CAF (Development Context Analysis Framework), that leverages the development context to scope a change impact analysis technique. The goal is to characterize the impact of each developer on other developers in the team. There are various client applications such as task prioritization, early conflict detection, and providing advice on testing that can benefit from such a characterization. The DeCAF framework leverages information from the development context to bound the iDiSE change impact analysis technique to analyze only the parts of the code base that are of interest. Bounding the analysis can enable DeCAF to efficiently compute the impact of changes using a combination of program dependence and symbolic execution based approaches.

  7. Development Context Driven Change Awareness and Analysis Framework

    NASA Technical Reports Server (NTRS)

    Sarma, Anita; Branchaud, Josh; Dwyer, Matthew B.; Person, Suzette; Rungta, Neha; Wang, Yurong; Elbaum, Sebastian

    2014-01-01

    Recent work on workspace monitoring allows conflict prediction early in the development process, however, these approaches mostly use syntactic differencing techniques to compare different program versions. In contrast, traditional change-impact analysis techniques analyze related versions of the program only after the code has been checked into the master repository. We propose a novel approach, DeCAF (Development Context Analysis Framework), that leverages the development context to scope a change impact analysis technique. The goal is to characterize the impact of each developer on other developers in the team. There are various client applications such as task prioritization, early conflict detection, and providing advice on testing that can benefit from such a characterization. The DeCAF framework leverages information from the development context to bound the iDiSE change impact analysis technique to analyze only the parts of the code base that are of interest. Bounding the analysis can enable DeCAF to efficiently compute the impact of changes using a combination of program dependence and symbolic execution based approaches.

  8. An Ontology-based Context-aware System for Smart Homes: E-care@home.

    PubMed

    Alirezaie, Marjan; Renoux, Jennifer; Köckemann, Uwe; Kristoffersson, Annica; Karlsson, Lars; Blomqvist, Eva; Tsiftes, Nicolas; Voigt, Thiemo; Loutfi, Amy

    2017-07-06

    Smart home environments have a significant potential to provide for long-term monitoring of users with special needs in order to promote the possibility to age at home. Such environments are typically equipped with a number of heterogeneous sensors that monitor both health and environmental parameters. This paper presents a framework called E-care@home, consisting of an IoT infrastructure, which provides information with an unambiguous, shared meaning across IoT devices, end-users, relatives, health and care professionals and organizations. We focus on integrating measurements gathered from heterogeneous sources by using ontologies in order to enable semantic interpretation of events and context awareness. Activities are deduced using an incremental answer set solver for stream reasoning. The paper demonstrates the proposed framework using an instantiation of a smart environment that is able to perform context recognition based on the activities and the events occurring in the home.

  9. An Ontology-based Context-aware System for Smart Homes: E-care@home

    PubMed Central

    Alirezaie, Marjan; Köckemann, Uwe; Kristoffersson, Annica; Karlsson, Lars; Blomqvist, Eva; Voigt, Thiemo; Loutfi, Amy

    2017-01-01

    Smart home environments have a significant potential to provide for long-term monitoring of users with special needs in order to promote the possibility to age at home. Such environments are typically equipped with a number of heterogeneous sensors that monitor both health and environmental parameters. This paper presents a framework called E-care@home, consisting of an IoT infrastructure, which provides information with an unambiguous, shared meaning across IoT devices, end-users, relatives, health and care professionals and organizations. We focus on integrating measurements gathered from heterogeneous sources by using ontologies in order to enable semantic interpretation of events and context awareness. Activities are deduced using an incremental answer set solver for stream reasoning. The paper demonstrates the proposed framework using an instantiation of a smart environment that is able to perform context recognition based on the activities and the events occurring in the home. PMID:28684686

  10. A Context-Aware Ubiquitous Learning Approach for Providing Instant Learning Support in Personal Computer Assembly Activities

    ERIC Educational Resources Information Center

    Hsu, Ching-Kun; Hwang, Gwo-Jen

    2014-01-01

    Personal computer assembly courses have been recognized as being essential in helping students understand computer structure as well as the functionality of each computer component. In this study, a context-aware ubiquitous learning approach is proposed for providing instant assistance to individual students in the learning activity of a…

  11. A Context-Aware EEG Headset System for Early Detection of Driver Drowsiness.

    PubMed

    Li, Gang; Chung, Wan-Young

    2015-08-21

    Driver drowsiness is a major cause of mortality in traffic accidents worldwide. Electroencephalographic (EEG) signal, which reflects the brain activities, is more directly related to drowsiness. Thus, many Brain-Machine-Interface (BMI) systems have been proposed to detect driver drowsiness. However, detecting driver drowsiness at its early stage poses a major practical hurdle when using existing BMI systems. This study proposes a context-aware BMI system aimed to detect driver drowsiness at its early stage by enriching the EEG data with the intensity of head-movements. The proposed system is carefully designed for low-power consumption with on-chip feature extraction and low energy Bluetooth connection. Also, the proposed system is implemented using JAVA programming language as a mobile application for on-line analysis. In total, 266 datasets obtained from six subjects who participated in a one-hour monotonous driving simulation experiment were used to evaluate this system. According to a video-based reference, the proposed system obtained an overall detection accuracy of 82.71% for classifying alert and slightly drowsy events by using EEG data alone and 96.24% by using the hybrid data of head-movement and EEG. These results indicate that the combination of EEG data and head-movement contextual information constitutes a robust solution for the early detection of driver drowsiness.

  12. Development, awareness and inductive selectivity.

    PubMed

    Hayes, Brett K; Lim, Melissa

    2013-05-01

    Two studies examined whether adults and children could learn to make context-dependent inferences about novel stimuli and the role of awareness of context cues in such learning. Participants were trained to match probes to targets on the basis of shape or color with the relevant dimension shifting according to item context. A selective induction test then examined context-dependent responding in a more complex matching task. Awareness of the role of context was assessed using a behavioral task and explicit questions. Experiment 1 showed that after training with the procedure described by Sloutsky and Fisher (2008), only a minority of adults showed evidence of context-dependent responding in the selective induction test. Experiment 2 used a modified training protocol that promoted attention to context cues. This led to reliable selective induction in a majority of adults and a sizeable proportion of 4- to 6-year-olds. Crucially, in both age groups, selective induction was dependent on awareness of context. Hence, children as young as 4 can learn to make selective inferences about novel stimuli, but only when they are aware of the relevant context cues. These results challenge previous claims that selective induction in children is the product of implicit learning.

  13. Adaptive and Context-Aware Reconciliation of Reactive and Pro-active Behavior in Evolving Systems

    NASA Astrophysics Data System (ADS)

    Trajcevski, Goce; Scheuermann, Peter

    One distinct characteristics of the context-aware systems is their ability to react and adapt to the evolution of the environment, which is often a result of changes in the values of various (possibly correlated) attributes. Based on these changes, reactive systems typically take corrective actions, e.g., adjusting parameters in order to maintain the desired specifications of the system's state. Pro-active systems, on the other hand, may change the mode of interaction with the environment as well as the desired goals of the system. In this paper we describe our (ECA)2 paradigm for reactive behavior with proactive impact and we present our ongoing work and vision for a system that is capable of context-aware adaptation, while ensuring the maintenance of a set of desired behavioral policies. Our main focus is on developing a formalism that provides tools for expressing normal, as well as defeasible and/or exceptional specification. However, at the same time, we insist on a sound semantics and the capability of answering hypothetical "what-if" queries. Towards this end, we introduce the high-level language L_{ EAR} that can be used to describe the dynamics of the problem domain, specify triggers under the (ECA)2 paradigm, and reason about the consequences of the possible evolutions.

  14. MOPET: a context-aware and user-adaptive wearable system for fitness training.

    PubMed

    Buttussi, Fabio; Chittaro, Luca

    2008-02-01

    Cardiovascular disease, obesity, and lack of physical fitness are increasingly common and negatively affect people's health, requiring medical assistance and decreasing people's wellness and productivity. In the last years, researchers as well as companies have been increasingly investigating wearable devices for fitness applications with the aim of improving user's health, in terms of cardiovascular benefits, loss of weight or muscle strength. Dedicated GPS devices, accelerometers, step counters and heart rate monitors are already commercially available, but they are usually very limited in terms of user interaction and artificial intelligence capabilities. This significantly limits the training and motivation support provided by current systems, making them poorly suited for untrained people who are more interested in fitness for health rather than competitive purposes. To better train and motivate users, we propose the mobile personal trainer (MOPET) system. MOPET is a wearable system that supervises a physical fitness activity based on alternating jogging and fitness exercises in outdoor environments. By exploiting real-time data coming from sensors, knowledge elicited from a sport physiologist and a professional trainer, and a user model that is built and periodically updated through a guided autotest, MOPET can provide motivation as well as safety and health advice, adapted to the user and the context. To better interact with the user, MOPET also displays a 3D embodied agent that speaks, suggests stretching or strengthening exercises according to user's current condition, and demonstrates how to correctly perform exercises with interactive 3D animations. By describing MOPET, we show how context-aware and user-adaptive techniques can be applied to the fitness domain. In particular, we describe how such techniques can be exploited to train, motivate, and supervise users in a wearable personal training system for outdoor fitness activity.

  15. Toward sensor-based context aware systems.

    PubMed

    Sakurai, Yoshitaka; Takada, Kouhei; Anisetti, Marco; Bellandi, Valerio; Ceravolo, Paolo; Damiani, Ernesto; Tsuruta, Setsuo

    2012-01-01

    This paper proposes a methodology for sensor data interpretation that can combine sensor outputs with contexts represented as sets of annotated business rules. Sensor readings are interpreted to generate events labeled with the appropriate type and level of uncertainty. Then, the appropriate context is selected. Reconciliation of different uncertainty types is achieved by a simple technique that moves uncertainty from events to business rules by generating combs of standard Boolean predicates. Finally, context rules are evaluated together with the events to take a decision. The feasibility of our idea is demonstrated via a case study where a context-reasoning engine has been connected to simulated heartbeat sensors using prerecorded experimental data. We use sensor outputs to identify the proper context of operation of a system and trigger decision-making based on context information.

  16. RFID sensor-tags feeding a context-aware rule-based healthcare monitoring system.

    PubMed

    Catarinucci, Luca; Colella, Riccardo; Esposito, Alessandra; Tarricone, Luciano; Zappatore, Marco

    2012-12-01

    Along with the growing of the aging population and the necessity of efficient wellness systems, there is a mounting demand for new technological solutions able to support remote and proactive healthcare. An answer to this need could be provided by the joint use of the emerging Radio Frequency Identification (RFID) technologies and advanced software choices. This paper presents a proposal for a context-aware infrastructure for ubiquitous and pervasive monitoring of heterogeneous healthcare-related scenarios, fed by RFID-based wireless sensors nodes. The software framework is based on a general purpose architecture exploiting three key implementation choices: ontology representation, multi-agent paradigm and rule-based logic. From the hardware point of view, the sensing and gathering of context-data is demanded to a new Enhanced RFID Sensor-Tag. This new device, de facto, makes possible the easy integration between RFID and generic sensors, guaranteeing flexibility and preserving the benefits in terms of simplicity of use and low cost of UHF RFID technology. The system is very efficient and versatile and its customization to new scenarios requires a very reduced effort, substantially limited to the update/extension of the ontology codification. Its effectiveness is demonstrated by reporting both customization effort and performance results obtained from validation in two different healthcare monitoring contexts.

  17. A Context-Aware EEG Headset System for Early Detection of Driver Drowsiness

    PubMed Central

    Li, Gang; Chung, Wan-Young

    2015-01-01

    Driver drowsiness is a major cause of mortality in traffic accidents worldwide. Electroencephalographic (EEG) signal, which reflects the brain activities, is more directly related to drowsiness. Thus, many Brain-Machine-Interface (BMI) systems have been proposed to detect driver drowsiness. However, detecting driver drowsiness at its early stage poses a major practical hurdle when using existing BMI systems. This study proposes a context-aware BMI system aimed to detect driver drowsiness at its early stage by enriching the EEG data with the intensity of head-movements. The proposed system is carefully designed for low-power consumption with on-chip feature extraction and low energy Bluetooth connection. Also, the proposed system is implemented using JAVA programming language as a mobile application for on-line analysis. In total, 266 datasets obtained from six subjects who participated in a one-hour monotonous driving simulation experiment were used to evaluate this system. According to a video-based reference, the proposed system obtained an overall detection accuracy of 82.71% for classifying alert and slightly drowsy events by using EEG data alone and 96.24% by using the hybrid data of head-movement and EEG. These results indicate that the combination of EEG data and head-movement contextual information constitutes a robust solution for the early detection of driver drowsiness. PMID:26308002

  18. Social Email: A Framework and Application for More Socially-Aware Communications

    NASA Astrophysics Data System (ADS)

    Tran, Thomas; Rowe, Jeff; Wu, S. Felix

    As online social networks (OSN) attempt to mimic real life social networks, we have made progress towards using OSNs to provide us with data to allow for richer and more robust online communications. In this paper, we present a novel approach towards socially-aware email. Currently, email provides too little control to the recipient. Our approach, dubbed SoEmail, provides social context to messages using an OSN's underlying social graph. This not only gives the recipient control over who can message her, but it also provides her with an understanding of where the message originated from, socially. Furthermore, users who do not wish to use the built-in social aspect of SoEmail, can send and receive emails without any changes to their behavior. The modifications we made to the email application to provide this social context are not invasive and can be easily ignored by any existing email client. We built SoEmail on top of an existing framework, known as Davis Social Links, which allows SoEmail to be completely agnostic about the underlying OSN. We created a web-based, standards-based web client for SoEmail using Facebook and Gmail as the underlying systems which has been released for public use and has had a good adoption rate.

  19. A Decision-Tree-Oriented Guidance Mechanism for Conducting Nature Science Observation Activities in a Context-Aware Ubiquitous Learning

    ERIC Educational Resources Information Center

    Hwang, Gwo-Jen; Chu, Hui-Chun; Shih, Ju-Ling; Huang, Shu-Hsien; Tsai, Chin-Chung

    2010-01-01

    A context-aware ubiquitous learning environment is an authentic learning environment with personalized digital supports. While showing the potential of applying such a learning environment, researchers have also indicated the challenges of providing adaptive and dynamic support to individual students. In this paper, a decision-tree-oriented…

  20. Critical Language Awareness in Pedagogic Context

    ERIC Educational Resources Information Center

    Ali, Shamim

    2011-01-01

    This study was designed to investigate the significance of developing students' critical language awareness through explicit teaching methodology of some procedures of critical discourse analysis. The researcher integrated critical activities into her teaching and students' learning process. The study was planned prudently to discover the…

  1. Context-aware event detection smartphone application for first responders

    NASA Astrophysics Data System (ADS)

    Boddhu, Sanjay K.; Dave, Rakesh P.; McCartney, Matt; West, James A.; Williams, Robert L.

    2013-05-01

    The rise of social networking platforms like Twitter, Facebook, etc…, have provided seamless sharing of information (as chat, video and other media) among its user community on a global scale. Further, the proliferation of the smartphones and their connectivity networks has powered the ordinary individuals to share and acquire information regarding the events happening in his/her immediate vicinity in a real-time fashion. This human-centric sensed data being generated in "human-as-sensor" approach is tremendously valuable as it delivered mostly with apt annotations and ground truth that would be missing in traditional machine-centric sensors, besides high redundancy factor (same data thru multiple users). Further, when appropriately employed this real-time data can support in detecting localized events like fire, accidents, shooting, etc…, as they unfold and pin-point individuals being affected by those events. This spatiotemporal information, when made available for first responders in the event vicinity (or approaching it) can greatly assist them to make effective decisions to protect property and life in a timely fashion. In this vein, under SATE and YATE programs, the research team at AFRL Tec^Edge Discovery labs had demonstrated the feasibility of developing Smartphone applications, that can provide a augmented reality view of the appropriate detected events in a given geographical location (localized) and also provide an event search capability over a large geographic extent. In its current state, the application thru its backend connectivity utilizes a data (Text & Image) processing framework, which deals with data challenges like; identifying and aggregating important events, analyzing and correlating the events temporally and spatially and building a search enabled event database. Further, the smartphone application with its backend data processing workflow has been successfully field tested with live user generated feeds.

  2. Prompting technologies: A comparison of time-based and context-aware transition-based prompting

    PubMed Central

    Robertson, Kayela; Rosasco, Cody; Feuz, Kyle; Schmitter-Edgecombe, Maureen; Cook, Diane

    2016-01-01

    BACKGROUND While advancements in technology have encouraged the development of novel prompting systems to support cognitive interventions, little research has evaluated the best time to deliver prompts, which may impact the effectiveness of these interventions. OBJECTIVE This study examined whether transition-based context prompting (prompting an individual during task transitions) is more effective than traditional fixed time-based prompting. METHODS Participants were 42 healthy adults who completed 12 different everyday activities, each lasting 1–7 minutes, in an experimental smart home testbed and received prompts to record the completed activities from an electronic memory notebook. Half of the participants were delivered prompts during activity transitions, while the other half received prompts every 5 minutes. Participants also completed Likert-scale ratings regarding their perceptions of the prompting system. RESULTS Results revealed that participants in the transition-based context prompting condition responded to the first prompt more frequently and rated the system as more convenient, natural, and appropriate compared to participants in the time-based condition. CONCLUSIONS Our findings suggest that prompting during activity transitions produces higher adherence to the first prompt and more positive perceptions of the prompting system. This is an important finding given the benefits of prompting technology and the possibility of improving cognitive interventions by using context-aware transition prompting. PMID:26409520

  3. Context-Aware Fusion of RGB and Thermal Imagery for Traffic Monitoring

    PubMed Central

    Alldieck, Thiemo; Bahnsen, Chris H.; Moeslund, Thomas B.

    2016-01-01

    In order to enable a robust 24-h monitoring of traffic under changing environmental conditions, it is beneficial to observe the traffic scene using several sensors, preferably from different modalities. To fully benefit from multi-modal sensor output, however, one must fuse the data. This paper introduces a new approach for fusing color RGB and thermal video streams by using not only the information from the videos themselves, but also the available contextual information of a scene. The contextual information is used to judge the quality of a particular modality and guides the fusion of two parallel segmentation pipelines of the RGB and thermal video streams. The potential of the proposed context-aware fusion is demonstrated by extensive tests of quantitative and qualitative characteristics on existing and novel video datasets and benchmarked against competing approaches to multi-modal fusion. PMID:27869730

  4. Skeleton-Based Human Action Recognition With Global Context-Aware Attention LSTM Networks

    NASA Astrophysics Data System (ADS)

    Liu, Jun; Wang, Gang; Duan, Ling-Yu; Abdiyeva, Kamila; Kot, Alex C.

    2018-04-01

    Human action recognition in 3D skeleton sequences has attracted a lot of research attention. Recently, Long Short-Term Memory (LSTM) networks have shown promising performance in this task due to their strengths in modeling the dependencies and dynamics in sequential data. As not all skeletal joints are informative for action recognition, and the irrelevant joints often bring noise which can degrade the performance, we need to pay more attention to the informative ones. However, the original LSTM network does not have explicit attention ability. In this paper, we propose a new class of LSTM network, Global Context-Aware Attention LSTM (GCA-LSTM), for skeleton based action recognition. This network is capable of selectively focusing on the informative joints in each frame of each skeleton sequence by using a global context memory cell. To further improve the attention capability of our network, we also introduce a recurrent attention mechanism, with which the attention performance of the network can be enhanced progressively. Moreover, we propose a stepwise training scheme in order to train our network effectively. Our approach achieves state-of-the-art performance on five challenging benchmark datasets for skeleton based action recognition.

  5. mlCAF: Multi-Level Cross-Domain Semantic Context Fusioning for Behavior Identification.

    PubMed

    Razzaq, Muhammad Asif; Villalonga, Claudia; Lee, Sungyoung; Akhtar, Usman; Ali, Maqbool; Kim, Eun-Soo; Khattak, Asad Masood; Seung, Hyonwoo; Hur, Taeho; Bang, Jaehun; Kim, Dohyeong; Ali Khan, Wajahat

    2017-10-24

    The emerging research on automatic identification of user's contexts from the cross-domain environment in ubiquitous and pervasive computing systems has proved to be successful. Monitoring the diversified user's contexts and behaviors can help in controlling lifestyle associated to chronic diseases using context-aware applications. However, availability of cross-domain heterogeneous contexts provides a challenging opportunity for their fusion to obtain abstract information for further analysis. This work demonstrates extension of our previous work from a single domain (i.e., physical activity) to multiple domains (physical activity, nutrition and clinical) for context-awareness. We propose multi-level Context-aware Framework (mlCAF), which fuses the multi-level cross-domain contexts in order to arbitrate richer behavioral contexts. This work explicitly focuses on key challenges linked to multi-level context modeling, reasoning and fusioning based on the mlCAF open-source ontology. More specifically, it addresses the interpretation of contexts from three different domains, their fusioning conforming to richer contextual information. This paper contributes in terms of ontology evolution with additional domains, context definitions, rules and inclusion of semantic queries. For the framework evaluation, multi-level cross-domain contexts collected from 20 users were used to ascertain abstract contexts, which served as basis for behavior modeling and lifestyle identification. The experimental results indicate a context recognition average accuracy of around 92.65% for the collected cross-domain contexts.

  6. mlCAF: Multi-Level Cross-Domain Semantic Context Fusioning for Behavior Identification

    PubMed Central

    Villalonga, Claudia; Lee, Sungyoung; Akhtar, Usman; Ali, Maqbool; Kim, Eun-Soo; Khattak, Asad Masood; Seung, Hyonwoo; Hur, Taeho; Kim, Dohyeong; Ali Khan, Wajahat

    2017-01-01

    The emerging research on automatic identification of user’s contexts from the cross-domain environment in ubiquitous and pervasive computing systems has proved to be successful. Monitoring the diversified user’s contexts and behaviors can help in controlling lifestyle associated to chronic diseases using context-aware applications. However, availability of cross-domain heterogeneous contexts provides a challenging opportunity for their fusion to obtain abstract information for further analysis. This work demonstrates extension of our previous work from a single domain (i.e., physical activity) to multiple domains (physical activity, nutrition and clinical) for context-awareness. We propose multi-level Context-aware Framework (mlCAF), which fuses the multi-level cross-domain contexts in order to arbitrate richer behavioral contexts. This work explicitly focuses on key challenges linked to multi-level context modeling, reasoning and fusioning based on the mlCAF open-source ontology. More specifically, it addresses the interpretation of contexts from three different domains, their fusioning conforming to richer contextual information. This paper contributes in terms of ontology evolution with additional domains, context definitions, rules and inclusion of semantic queries. For the framework evaluation, multi-level cross-domain contexts collected from 20 users were used to ascertain abstract contexts, which served as basis for behavior modeling and lifestyle identification. The experimental results indicate a context recognition average accuracy of around 92.65% for the collected cross-domain contexts. PMID:29064459

  7. Mobile Context Provider for Social Networking

    NASA Astrophysics Data System (ADS)

    Santos, André C.; Cardoso, João M. P.; Ferreira, Diogo R.; Diniz, Pedro C.

    The ability to infer user context based on a mobile device together with a set of external sensors opens up the way to new context-aware services and applications. In this paper, we describe a mobile context provider that makes use of sensors available in a smartphone as well as sensors externally connected via bluetooth. We describe the system architecture from sensor data acquisition to feature extraction, context inference and the publication of context information to well-known social networking services such as Twitter and Hi5. In the current prototype, context inference is based on decision trees, but the middleware allows the integration of other inference engines. Experimental results suggest that the proposed solution is a promising approach to provide user context to both local and network-level services.

  8. Web-of-Objects (WoO)-Based Context Aware Emergency Fire Management Systems for the Internet of Things

    PubMed Central

    Shamszaman, Zia Ush; Ara, Safina Showkat; Chong, Ilyoung; Jeong, Youn Kwae

    2014-01-01

    Recent advancements in the Internet of Things (IoT) and the Web of Things (WoT) accompany a smart life where real world objects, including sensing devices, are interconnected with each other. The Web representation of smart objects empowers innovative applications and services for various domains. To accelerate this approach, Web of Objects (WoO) focuses on the implementation aspects of bringing the assorted real world objects to the Web applications. In this paper; we propose an emergency fire management system in the WoO infrastructure. Consequently, we integrate the formation and management of Virtual Objects (ViO) which are derived from real world physical objects and are virtually connected with each other into the semantic ontology model. The charm of using the semantic ontology is that it allows information reusability, extensibility and interoperability, which enable ViOs to uphold orchestration, federation, collaboration and harmonization. Our system is context aware, as it receives contextual environmental information from distributed sensors and detects emergency situations. To handle a fire emergency, we present a decision support tool for the emergency fire management team. The previous fire incident log is the basis of the decision support system. A log repository collects all the emergency fire incident logs from ViOs and stores them in a repository. PMID:24531299

  9. Web-of-Objects (WoO)-based context aware emergency fire management systems for the Internet of Things.

    PubMed

    Shamszaman, Zia Ush; Ara, Safina Showkat; Chong, Ilyoung; Jeong, Youn Kwae

    2014-02-13

    Recent advancements in the Internet of Things (IoT) and the Web of Things (WoT) accompany a smart life where real world objects, including sensing devices, are interconnected with each other. The Web representation of smart objects empowers innovative applications and services for various domains. To accelerate this approach, Web of Objects (WoO) focuses on the implementation aspects of bringing the assorted real world objects to the Web applications. In this paper; we propose an emergency fire management system in the WoO infrastructure. Consequently, we integrate the formation and management of Virtual Objects (ViO) which are derived from real world physical objects and are virtually connected with each other into the semantic ontology model. The charm of using the semantic ontology is that it allows information reusability, extensibility and interoperability, which enable ViOs to uphold orchestration, federation, collaboration and harmonization. Our system is context aware, as it receives contextual environmental information from distributed sensors and detects emergency situations. To handle a fire emergency, we present a decision support tool for the emergency fire management team. The previous fire incident log is the basis of the decision support system. A log repository collects all the emergency fire incident logs from ViOs and stores them in a repository.

  10. International note: awareness and context of cyber-harassment among secondary school students in Oyo state, Nigeria.

    PubMed

    Olumide, Adesola O; Adams, Patricia; Amodu, Olukemi K

    2015-02-01

    We determined the awareness and context of cyber-harassment among secondary school students (653 survey respondents and 18 in-depth interviewees) in Oyo state, Nigeria. Respondents' mean age was 14.2 ± 2.2 years and 53.9% were aware of cyber-harassment occurring in their school or among their friends. Cyber-harassment was often perpetrated via phone calls (62.5%), text messaging (36.9%), chat rooms (28.7%), through pictures or video clips sent via mobile phones (11.9%), emails (6.8%) or websites (5.9%). Cyber-harassment behaviours mentioned were the use of abusive words (25.4%), saying mean things or making fun of the victim (13.9%), solicitations for relationships (7.9%) or sex (6.8%) and spreading rumours about the victim (6.8%). In-depth interviewees recounted experiences of cyber-harassment suffered by their friends. Many were relationship-related, sexual solicitations and threats and corroborated quantitative findings. Respondents are aware of cyber-harassment occurring among students in the study area. Comprehensive interventions to address the problem need to be instituted. Copyright © 2014 The Foundation for Professionals in Services for Adolescents. Published by Elsevier Ltd. All rights reserved.

  11. Teacher Diversity Awareness in the Context of Changing Demographics

    ERIC Educational Resources Information Center

    Acquah, Emmanuel O.; Tandon, Madhavi; Lempinen, Sonia

    2016-01-01

    This study examined awareness of and knowledge of how to address increasing linguistic and cultural diversity among 89 teachers in an ethnically and racially diverse school located in Southwest Finland. The empirical evidence suggests that in a school with many years of experience with a diverse student population the levels of awareness and…

  12. Context-aware tunable office lighting application and user response

    NASA Astrophysics Data System (ADS)

    Chen, Nancy H.; Nawyn, Jason; Thompson, Maria; Gibbs, Julie; Larson, Kent

    2013-09-01

    LED light sources having multiple independently controllable color channels allow tuning of both the intensity and color output. Consequently, highly tailored lighting can be applied according to instantaneous user needs and preferences. Besides improving lighting performance, energy use can also be reduced since the brightest illumination is applied only when necessary. In an example application, low activity or vacant areas of a multi-zone office are lit by low power illumination, including colored light options, which can reduce energy consumption to 20-45% of typical full-time, fullbrightness, office-wide illumination. The availability of color also allows communication functions and additional aesthetic design possibilities. To reduce user burden in frequent switching between various illumination settings, an activity recognition sensor network is used to identify selected office activities. The illumination is then adjusted automatically to satisfy the needs of the occupants. A handheld mobile device provides an interactive interface for gathering user feedback regarding impressions and illumination preferences. The activity-triggered queries collect contemporaneous feedback that reduces reliance on memory; immediate previews of illumination options are also provided. Through mobile queries and post-experience interviews, user feedback was gathered regarding automation, colored lighting, and illumination preferences. Overall reaction was indicated by a range of response words such as fun, stimulating, very cool, very pleasant, enjoyed, good, comfortable, satisfactory, fine, energy saving, interesting, curious, dim, cave, isolated, distracting, and unfamiliar. Positive reaction from a meaningful, though not universal, fraction of users indicates reasonable application potential, particularly as personal preferences and control are accommodated.

  13. Advanced Weather Awareness and Reporting Enhancements

    NASA Technical Reports Server (NTRS)

    Busquets, Anthony M. (Technical Monitor); Ruokangas, Corinne Clinton; Kelly, Wallace E., III

    2005-01-01

    AWARE (Aviation Weather Awareness and Reporting Enhancements) was a NASA Cooperative Research and Development program conducted jointly by Rockwell Scientific, Rockwell Collins, and NASA. The effort culminated in an enhanced weather briefing and reporting tool prototype designed to integrate graphical and text-based aviation weather data to provide clear situational awareness in the context of a specific pilot, flight and equipment profile. The initial implementation of AWARE was as a web-based preflight planning tool, specifically for general aviation pilots, who do not have access to support such as the dispatchers available for commercial airlines. Initial usability tests showed that for VFR (Visual Flight Rules) pilots, AWARE provided faster and more effective weather evaluation. In a subsequent formal usability test for IFR (Instrument Flight Rules) pilots, all users finished the AWARE tests faster than the parallel DUAT tests, and all subjects graded AWARE higher for effectiveness, efficiency, and usability. The decision analysis basis of AWARE differentiates it from other aviation safety programs, providing analysis of context-sensitive data in a personalized graphical format to aid pilots/dispatchers in their complex flight requirements.

  14. Context awareness and sensitivity in SEA implementation

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Hilding-Rydevik, Tuija; Bjarnadottir, Holmfridur

    2007-10-15

    The Impact Assessment research community repeatedly asserts that the implementation of Strategic Environmental Assessment (SEA) should take the issue of context into consideration. The primary aim of this paper then is to attempt to give substance to the concept of 'context' in relation to the implementation of SEA. The second aim is to discuss the relevance of context consciousness and sensitivity in relation to one of the main aims given to SEA implementation i.e. to contribute to the 'integration' of environmental perspectives in planning processes. Context must be defined in relation to a certain question. In this paper the questionmore » in focus is the assumption that SEA implementation will contribute to integration of environmental issues in planning processes. Research results relating to the use of environmental tools, like for example SEA, and experiences of integration efforts, strongly indicate that the use of a single tool like SEA is not enough to achieve this integration. The current 'context free' normative and procedural assumptions concerning the aim of SEA implementation and 'best practice' in term of SEA can be criticised on the same grounds as normative and procedural planning theories, as being context free. The assumptions behind the current formulations of the aim and best practice of SEA need to be revisited. A firm empirical and theoretical knowledge and discussion is needed, especially in relation to the issue of context and integration. This paper provides a starting point in this direction.« less

  15. Context Sensing System Analysis for Privacy Preservation Based on Game Theory.

    PubMed

    Wang, Shengling; Li, Luyun; Sun, Weiman; Guo, Junqi; Bie, Rongfang; Lin, Kai

    2017-02-10

    In a context sensing system in which a sensor-equipped mobile phone runs an unreliable context-aware application, the application can infer the user's contexts, based on which it provides personalized services. However, the application may sell the user's contexts to some malicious adversaries to earn extra profits, which will hinder its widespread use. In the real world, the actions of the user, the application and the adversary in the context sensing system affect each other, so that their payoffs are constrained mutually. To figure out under which conditions they behave well (the user releases, the application does not leak and the adversary does not retrieve the context), we take advantage of game theory to analyze the context sensing system. We use the extensive form game and the repeated game, respectively, to analyze two typical scenarios, single interaction and multiple interaction among three players, from which Nash equilibriums and cooperation conditions are obtained. Our results show that the reputation mechanism for the context-sensing system in the former scenario is crucial to privacy preservation, so is the extent to which the participants are concerned about future payoffs in the latter one.

  16. Online Formative Assessments with Social Network Awareness

    ERIC Educational Resources Information Center

    Lin, Jian-Wei; Lai, Yuan-Cheng

    2013-01-01

    Social network awareness (SNA) has been used extensively as one of the strategies to increase knowledge sharing and collaboration opportunities. However, most SNA studies either focus on being aware of peer's knowledge context or on social context. This work proposes online formative assessments with SNA, trying to address the problems of online…

  17. Context aware decision support in neurosurgical oncology based on an efficient classification of endomicroscopic data.

    PubMed

    Li, Yachun; Charalampaki, Patra; Liu, Yong; Yang, Guang-Zhong; Giannarou, Stamatia

    2018-06-13

    Probe-based confocal laser endomicroscopy (pCLE) enables in vivo, in situ tissue characterisation without changes in the surgical setting and simplifies the oncological surgical workflow. The potential of this technique in identifying residual cancer tissue and improving resection rates of brain tumours has been recently verified in pilot studies. The interpretation of endomicroscopic information is challenging, particularly for surgeons who do not themselves routinely review histopathology. Also, the diagnosis can be examiner-dependent, leading to considerable inter-observer variability. Therefore, automatic tissue characterisation with pCLE would support the surgeon in establishing diagnosis as well as guide robot-assisted intervention procedures. The aim of this work is to propose a deep learning-based framework for brain tissue characterisation for context aware diagnosis support in neurosurgical oncology. An efficient representation of the context information of pCLE data is presented by exploring state-of-the-art CNN models with different tuning configurations. A novel video classification framework based on the combination of convolutional layers with long-range temporal recursion has been proposed to estimate the probability of each tumour class. The video classification accuracy is compared for different network architectures and data representation and video segmentation methods. We demonstrate the application of the proposed deep learning framework to classify Glioblastoma and Meningioma brain tumours based on endomicroscopic data. Results show significant improvement of our proposed image classification framework over state-of-the-art feature-based methods. The use of video data further improves the classification performance, achieving accuracy equal to 99.49%. This work demonstrates that deep learning can provide an efficient representation of pCLE data and accurately classify Glioblastoma and Meningioma tumours. The performance evaluation analysis

  18. PS-CARA: Context-Aware Resource Allocation Scheme for Mobile Public Safety Networks.

    PubMed

    Kaleem, Zeeshan; Khaliq, Muhammad Zubair; Khan, Ajmal; Ahmad, Ishtiaq; Duong, Trung Q

    2018-05-08

    The fifth-generation (5G) communications systems are expecting to support users with diverse quality-of-service (QoS) requirements. Beside these requirements, the task with utmost importance is to support the emergency communication services during natural or man-made disasters. Most of the conventional base stations are not properly functional during a disaster situation, so deployment of emergency base stations such as mobile personal cell (mPC) is crucial. An mPC having moving capability can move in the disaster area to provide emergency communication services. However, mPC deployment causes severe co-channel interference to the users in its vicinity. The problem in the existing resource allocation schemes is its support for static environment, that does not fit well for mPC. So, a resource allocation scheme for mPC users is desired that can dynamically allocate resources based on users’ location and its connection establishment priority. In this paper, we propose a public safety users priority-based context-aware resource allocation (PS-CARA) scheme for users sum-rate maximization in disaster environment. Simulations results demonstrate that the proposed PS-CARA scheme can increase the user average and edge rate around 10.3% and 32.8% , respectively because of context information availability and by prioritizing the public safety users. The simulation results ensure that call blocking probability is also reduced considerably under the PS-CARA scheme.

  19. PS-CARA: Context-Aware Resource Allocation Scheme for Mobile Public Safety Networks

    PubMed Central

    Khaliq, Muhammad Zubair; Khan, Ajmal; Ahmad, Ishtiaq

    2018-01-01

    The fifth-generation (5G) communications systems are expecting to support users with diverse quality-of-service (QoS) requirements. Beside these requirements, the task with utmost importance is to support the emergency communication services during natural or man-made disasters. Most of the conventional base stations are not properly functional during a disaster situation, so deployment of emergency base stations such as mobile personal cell (mPC) is crucial. An mPC having moving capability can move in the disaster area to provide emergency communication services. However, mPC deployment causes severe co-channel interference to the users in its vicinity. The problem in the existing resource allocation schemes is its support for static environment, that does not fit well for mPC. So, a resource allocation scheme for mPC users is desired that can dynamically allocate resources based on users’ location and its connection establishment priority. In this paper, we propose a public safety users priority-based context-aware resource allocation (PS-CARA) scheme for users sum-rate maximization in disaster environment. Simulations results demonstrate that the proposed PS-CARA scheme can increase the user average and edge rate around 10.3% and 32.8% , respectively because of context information availability and by prioritizing the public safety users. The simulation results ensure that call blocking probability is also reduced considerably under the PS-CARA scheme. PMID:29738499

  20. High Performance Computing Software Applications for Space Situational Awareness

    NASA Astrophysics Data System (ADS)

    Giuliano, C.; Schumacher, P.; Matson, C.; Chun, F.; Duncan, B.; Borelli, K.; Desonia, R.; Gusciora, G.; Roe, K.

    The High Performance Computing Software Applications Institute for Space Situational Awareness (HSAI-SSA) has completed its first full year of applications development. The emphasis of our work in this first year was in improving space surveillance sensor models and image enhancement software. These applications are the Space Surveillance Network Analysis Model (SSNAM), the Air Force Space Fence simulation (SimFence), and physically constrained iterative de-convolution (PCID) image enhancement software tool. Specifically, we have demonstrated order of magnitude speed-up in those codes running on the latest Cray XD-1 Linux supercomputer (Hoku) at the Maui High Performance Computing Center. The software applications improvements that HSAI-SSA has made, has had significant impact to the warfighter and has fundamentally changed the role of high performance computing in SSA.

  1. Development, Awareness and Inductive Selectivity

    ERIC Educational Resources Information Center

    Hayes, Brett K.; Lim, Melissa

    2013-01-01

    Two studies examined whether adults and children could learn to make context-dependent inferences about novel stimuli and the role of awareness of context cues in such learning. Participants were trained to match probes to targets on the basis of shape or color with the relevant dimension shifting according to item context. A selective induction…

  2. SAM: speech-aware applications in medicine to support structured data entry.

    PubMed Central

    Wormek, A. K.; Ingenerf, J.; Orthner, H. F.

    1997-01-01

    In the last two years, improvement in speech recognition technology has directed the medical community's interest to porting and using such innovations in clinical systems. The acceptance of speech recognition systems in clinical domains increases with recognition speed, large medical vocabulary, high accuracy, continuous speech recognition, and speaker independence. Although some commercial speech engines approach these requirements, the greatest benefit can be achieved in adapting a speech recognizer to a specific medical application. The goals of our work are first, to develop a speech-aware core component which is able to establish connections to speech recognition engines of different vendors. This is realized in SAM. Second, with applications based on SAM we want to support the physician in his/her routine clinical care activities. Within the STAMP project (STAndardized Multimedia report generator in Pathology), we extend SAM by combining a structured data entry approach with speech recognition technology. Another speech-aware application in the field of Diabetes care is connected to a terminology server. The server delivers a controlled vocabulary which can be used for speech recognition. PMID:9357730

  3. A Mobile Context-Aware Framework for Managing Learning Schedules--Data Analysis from a Diary Study

    ERIC Educational Resources Information Center

    Yau, Jane Y.-K.; Joy, Mike; Dickert, Stephan

    2010-01-01

    We report the results of a diary study to determine whether a diary approach could be used as a successful way of retrieving a) the user's learning contexts, b) which learning contexts are significant for consideration within an m-learning application, and c) which learning materials are appropriate for which learning situation. Analyses of data…

  4. The Application of Context Theory in English Teaching of Reading

    ERIC Educational Resources Information Center

    Zhu, Jiang; Han, Lemeng

    2010-01-01

    Context theory is a very important theory in English teaching, especially the teaching of reading. This paper first analyzes the theory of context, including the features of context and some principles in context theory. Then the paper discusses the application of context theory in English teaching of reading, including some problems met in…

  5. Towards a Context-Aware Proactive Decision Support Framework

    DTIC Science & Technology

    2013-11-15

    initiative that has developed text analytic technology that crosses the semantic gap into the area of event recognition and representation. The...recognizing operational context, and techniques for recognizing context shift. Additional research areas include: • Adequately capturing users...Universal Interaction Context Ontology [12] might serve as a foundation • Instantiating formal models of decision making based on information seeking

  6. Mobile phone middleware architecture for energy and context awareness in location-based services.

    PubMed

    Galeana-Zapién, Hiram; Torres-Huitzil, César; Rubio-Loyola, Javier

    2014-12-10

    The disruptive innovation of smartphone technology has enabled the development of mobile sensing applications leveraged on specialized sensors embedded in the device. These novel mobile phone applications rely on advanced sensor information processes, which mainly involve raw data acquisition, feature extraction, data interpretation and transmission. However, the continuous accessing of sensing resources to acquire sensor data in smartphones is still very expensive in terms of energy, particularly due to the periodic use of power-intensive sensors, such as the Global Positioning System (GPS) receiver. The key underlying idea to design energy-efficient schemes is to control the duty cycle of the GPS receiver. However, adapting the sensing rate based on dynamic context changes through a flexible middleware has received little attention in the literature. In this paper, we propose a novel modular middleware architecture and runtime environment to directly interface with application programming interfaces (APIs) and embedded sensors in order to manage the duty cycle process based on energy and context aspects. The proposed solution has been implemented in the Android software stack. It allows continuous location tracking in a timely manner and in a transparent way to the user. It also enables the deployment of sensing policies to appropriately control the sampling rate based on both energy and perceived context. We validate the proposed solution taking into account a reference location-based service (LBS) architecture. A cloud-based storage service along with online mobility analysis tools have been used to store and access sensed data. Experimental measurements demonstrate the feasibility and efficiency of our middleware, in terms of energy and location resolution.

  7. A Battery-Aware Algorithm for Supporting Collaborative Applications

    NASA Astrophysics Data System (ADS)

    Rollins, Sami; Chang-Yit, Cheryl

    Battery-powered devices such as laptops, cell phones, and MP3 players are becoming ubiquitous. There are several significant ways in which the ubiquity of battery-powered technology impacts the field of collaborative computing. First, applications such as collaborative data gathering, become possible. Also, existing applications that depend on collaborating devices to maintain the system infrastructure must be reconsidered. Fundamentally, the problem lies in the fact that collaborative applications often require end-user computing devices to perform tasks that happen in the background and are not directly advantageous to the user. In this work, we seek to better understand how laptop users use the batteries attached to their devices and analyze a battery-aware alternative to Gnutella’s ultrapeer selection algorithm. Our algorithm provides insight into how system maintenance tasks can be allocated to battery-powered nodes. The most significant result of our study indicates that a large portion of laptop users can participate in system maintenance without sacrificing any of their battery. These results show great promise for existing collaborative applications as well as new applications, such as collaborative data gathering, that rely upon battery-powered devices.

  8. Context Mining of Sedentary Behaviour for Promoting Self-Awareness Using a Smartphone.

    PubMed

    Fahim, Muhammad; Baker, Thar; Khattak, Asad Masood; Shah, Babar; Aleem, Saiqa; Chow, Francis

    2018-03-15

    Sedentary behaviour is increasing due to societal changes and is related to prolonged periods of sitting. There is sufficient evidence proving that sedentary behaviour has a negative impact on people's health and wellness. This paper presents our research findings on how to mine the temporal contexts of sedentary behaviour by utilizing the on-board sensors of a smartphone. We use the accelerometer sensor of the smartphone to recognize user situations (i.e., still or active). If our model confirms that the user context is still, then there is a high probability of being sedentary. Then, we process the environmental sound to recognize the micro-context, such as working on a computer or watching television during leisure time. Our goal is to reduce sedentary behaviour by suggesting preventive interventions to take short breaks during prolonged sitting to be more active. We achieve this goal by providing the visualization to the user, who wants to monitor his/her sedentary behaviour to reduce unhealthy routines for self-management purposes. The main contribution of this paper is two-fold: (i) an initial implementation of the proposed framework supporting real-time context identification; (ii) testing and evaluation of the framework, which suggest that our application is capable of substantially reducing sedentary behaviour and assisting users to be active.

  9. Horror Image Recognition Based on Context-Aware Multi-Instance Learning.

    PubMed

    Li, Bing; Xiong, Weihua; Wu, Ou; Hu, Weiming; Maybank, Stephen; Yan, Shuicheng

    2015-12-01

    Horror content sharing on the Web is a growing phenomenon that can interfere with our daily life and affect the mental health of those involved. As an important form of expression, horror images have their own characteristics that can evoke extreme emotions. In this paper, we present a novel context-aware multi-instance learning (CMIL) algorithm for horror image recognition. The CMIL algorithm identifies horror images and picks out the regions that cause the sensation of horror in these horror images. It obtains contextual cues among adjacent regions in an image using a random walk on a contextual graph. Borrowing the strength of the fuzzy support vector machine (FSVM), we define a heuristic optimization procedure based on the FSVM to search for the optimal classifier for the CMIL. To improve the initialization of the CMIL, we propose a novel visual saliency model based on the tensor analysis. The average saliency value of each segmented region is set as its initial fuzzy membership in the CMIL. The advantage of the tensor-based visual saliency model is that it not only adaptively selects features, but also dynamically determines fusion weights for saliency value combination from different feature subspaces. The effectiveness of the proposed CMIL model is demonstrated by its use in horror image recognition on two large-scale image sets collected from the Internet.

  10. Mobile Phone Middleware Architecture for Energy and Context Awareness in Location-Based Services

    PubMed Central

    Galeana-Zapién, Hiram; Torres-Huitzil, César; Rubio-Loyola, Javier

    2014-01-01

    The disruptive innovation of smartphone technology has enabled the development of mobile sensing applications leveraged on specialized sensors embedded in the device. These novel mobile phone applications rely on advanced sensor information processes, which mainly involve raw data acquisition, feature extraction, data interpretation and transmission. However, the continuous accessing of sensing resources to acquire sensor data in smartphones is still very expensive in terms of energy, particularly due to the periodic use of power-intensive sensors, such as the Global Positioning System (GPS) receiver. The key underlying idea to design energy-efficient schemes is to control the duty cycle of the GPS receiver. However, adapting the sensing rate based on dynamic context changes through a flexible middleware has received little attention in the literature. In this paper, we propose a novel modular middleware architecture and runtime environment to directly interface with application programming interfaces (APIs) and embedded sensors in order to manage the duty cycle process based on energy and context aspects. The proposed solution has been implemented in the Android software stack. It allows continuous location tracking in a timely manner and in a transparent way to the user. It also enables the deployment of sensing policies to appropriately control the sampling rate based on both energy and perceived context. We validate the proposed solution taking into account a reference location-based service (LBS) architecture. A cloud-based storage service along with online mobility analysis tools have been used to store and access sensed data. Experimental measurements demonstrate the feasibility and efficiency of our middleware, in terms of energy and location resolution. PMID:25513821

  11. Implementation of Context Aware e-Health Environments Based on Social Sensor Networks

    PubMed Central

    Aguirre, Erik; Led, Santiago; Lopez-Iturri, Peio; Azpilicueta, Leyre; Serrano, Luís; Falcone, Francisco

    2016-01-01

    In this work, context aware scenarios applied to e-Health and m-Health in the framework of typical households (urban and rural) by means of deploying Social Sensors will be described. Interaction with end-users and social/medical staff is achieved using a multi-signal input/output device, capable of sensing and transmitting environmental, biomedical or activity signals and information with the aid of a combined Bluetooth and Mobile system platform. The devices, which play the role of Social Sensors, are implemented and tested in order to guarantee adequate service levels in terms of multiple signal processing tasks as well as robustness in relation with the use wireless transceivers and channel variability. Initial tests within a Living Lab environment have been performed in order to validate overall system operation. The results obtained show good acceptance of the proposed system both by end users as well as by medical and social staff, increasing interaction, reducing overall response time and social inclusion levels, with a compact and moderate cost solution that can readily be largely deployed. PMID:26938539

  12. Implementation of Context Aware e-Health Environments Based on Social Sensor Networks.

    PubMed

    Aguirre, Erik; Led, Santiago; Lopez-Iturri, Peio; Azpilicueta, Leyre; Serrano, Luís; Falcone, Francisco

    2016-03-01

    In this work, context aware scenarios applied to e-Health and m-Health in the framework of typical households (urban and rural) by means of deploying Social Sensors will be described. Interaction with end-users and social/medical staff is achieved using a multi-signal input/output device, capable of sensing and transmitting environmental, biomedical or activity signals and information with the aid of a combined Bluetooth and Mobile system platform. The devices, which play the role of Social Sensors, are implemented and tested in order to guarantee adequate service levels in terms of multiple signal processing tasks as well as robustness in relation with the use wireless transceivers and channel variability. Initial tests within a Living Lab environment have been performed in order to validate overall system operation. The results obtained show good acceptance of the proposed system both by end users as well as by medical and social staff, increasing interaction, reducing overall response time and social inclusion levels, with a compact and moderate cost solution that can readily be largely deployed.

  13. Context-aware recommender system based on ontology for recommending tourist destinations at Bandung

    NASA Astrophysics Data System (ADS)

    Rizaldy Hafid Arigi, L.; Abdurahman Baizal, Z. K.; Herdiani, Anisa

    2018-03-01

    Recommender System is software that is able to provide personalized recommendation suits users’ needs. Recommender System has been widely implemented in various domains, including tourism. One approach that can be done for more personalized recommendations is the use of contextual information. This paper proposes a context aware recommender based ontology system in the tourism domain. The system is capable of recommending tourist destinations by using user preferences of the categories of tourism and contextual information such as user locations, weather around tourist destinations and close time of destination. Based on the evaluation, the system has accuracy of of 0.94 (item recommendation precision evaluated by expert) and 0.58 (implicitly from system-end user interaction). Based on the evaluation of user satisfaction, the system provides a satisfaction level of more than 0.7 (scale 0 to 1) for speed factors for providing liked recommendations (PE), informative description of recommendations (INF) and user trust (TR).

  14. SACFIR: SDN-Based Application-Aware Centralized Adaptive Flow Iterative Reconfiguring Routing Protocol for WSNs.

    PubMed

    Aslam, Muhammad; Hu, Xiaopeng; Wang, Fan

    2017-12-13

    Smart reconfiguration of a dynamic networking environment is offered by the central control of Software-Defined Networking (SDN). Centralized SDN-based management architectures are capable of retrieving global topology intelligence and decoupling the forwarding plane from the control plane. Routing protocols developed for conventional Wireless Sensor Networks (WSNs) utilize limited iterative reconfiguration methods to optimize environmental reporting. However, the challenging networking scenarios of WSNs involve a performance overhead due to constant periodic iterative reconfigurations. In this paper, we propose the SDN-based Application-aware Centralized adaptive Flow Iterative Reconfiguring (SACFIR) routing protocol with the centralized SDN iterative solver controller to maintain the load-balancing between flow reconfigurations and flow allocation cost. The proposed SACFIR's routing protocol offers a unique iterative path-selection algorithm, which initially computes suitable clustering based on residual resources at the control layer and then implements application-aware threshold-based multi-hop report transmissions on the forwarding plane. The operation of the SACFIR algorithm is centrally supervised by the SDN controller residing at the Base Station (BS). This paper extends SACFIR to SDN-based Application-aware Main-value Centralized adaptive Flow Iterative Reconfiguring (SAMCFIR) to establish both proactive and reactive reporting. The SAMCFIR transmission phase enables sensor nodes to trigger direct transmissions for main-value reports, while in the case of SACFIR, all reports follow computed routes. Our SDN-enabled proposed models adjust the reconfiguration period according to the traffic burden on sensor nodes, which results in heterogeneity awareness, load-balancing and application-specific reconfigurations of WSNs. Extensive experimental simulation-based results show that SACFIR and SAMCFIR yield the maximum scalability, network lifetime and stability

  15. SACFIR: SDN-Based Application-Aware Centralized Adaptive Flow Iterative Reconfiguring Routing Protocol for WSNs

    PubMed Central

    Hu, Xiaopeng; Wang, Fan

    2017-01-01

    Smart reconfiguration of a dynamic networking environment is offered by the central control of Software-Defined Networking (SDN). Centralized SDN-based management architectures are capable of retrieving global topology intelligence and decoupling the forwarding plane from the control plane. Routing protocols developed for conventional Wireless Sensor Networks (WSNs) utilize limited iterative reconfiguration methods to optimize environmental reporting. However, the challenging networking scenarios of WSNs involve a performance overhead due to constant periodic iterative reconfigurations. In this paper, we propose the SDN-based Application-aware Centralized adaptive Flow Iterative Reconfiguring (SACFIR) routing protocol with the centralized SDN iterative solver controller to maintain the load-balancing between flow reconfigurations and flow allocation cost. The proposed SACFIR’s routing protocol offers a unique iterative path-selection algorithm, which initially computes suitable clustering based on residual resources at the control layer and then implements application-aware threshold-based multi-hop report transmissions on the forwarding plane. The operation of the SACFIR algorithm is centrally supervised by the SDN controller residing at the Base Station (BS). This paper extends SACFIR to SDN-based Application-aware Main-value Centralized adaptive Flow Iterative Reconfiguring (SAMCFIR) to establish both proactive and reactive reporting. The SAMCFIR transmission phase enables sensor nodes to trigger direct transmissions for main-value reports, while in the case of SACFIR, all reports follow computed routes. Our SDN-enabled proposed models adjust the reconfiguration period according to the traffic burden on sensor nodes, which results in heterogeneity awareness, load-balancing and application-specific reconfigurations of WSNs. Extensive experimental simulation-based results show that SACFIR and SAMCFIR yield the maximum scalability, network lifetime and stability

  16. Metacognitive Awareness of Reading Strategies: An Indian Context

    ERIC Educational Resources Information Center

    Pinninti, Lakshmana Rao

    2016-01-01

    Over the last four decades, there has been a substantial body of research on metacognitive awareness of reading strategies. However, very few studies have focused on stage-wise frequency (pre-, while- and post-reading) and conditional knowledge of reading strategies. The purpose of this paper is to report stage-wise frequency and conditional…

  17. Reported child awareness of parental depression.

    PubMed

    Eyre, Olga; Jones, Rhys Bevan; Mars, Becky; Hammerton, Gemma; Sellers, Ruth; Potter, Robert; Thapar, Ajay; Rice, Frances; Collishaw, Stephan; Thapar, Anita

    2014-06-01

    Aims and method To determine rates of parent-reported child awareness of parental depression, examine characteristics of parents, children and families according to child awareness, and explore whether child awareness is associated with child psychopathology. Data were available from 271 families participating in the Early Prediction of Adolescent Depression (EPAD) study, a longitudinal study of offspring of parents with recurrent depression. Results Seventy-three per cent of participating children were perceived as being aware of their parent's depression. Older children, and children of parents who experienced more severe depression, were more likely to be aware. Awareness was not associated with child psychopathology. Clinical implications Considering children in the context of parental depression is important. Child awareness may influence their access to early intervention and prevention programmes. Further research is needed to understand the impact of awareness on the child.

  18. The Learning Management System at the Defence University: Awareness and Application

    ERIC Educational Resources Information Center

    Juhary, Jowati

    2013-01-01

    This brief paper examines the issues of awareness and application of a Learning Management System (LMS) used at the National Defence University of Malaysia (NDUM), Kuala Lumpur Malaysia. The paper argues that due to the discouraging responses from academics at the university on using the LMS, proactive measures must be taken immediately in order…

  19. Context Aware Routing Management Architecture for Airborne Networks

    DTIC Science & Technology

    2012-03-22

    awareness, increased survivability, 2 higher operation tempo , greater lethality, improve speed of command and certain degree of self-synchronization [35...first two sets of experiments. This error model simulates deviations from predetermined routes as well as variations on signal strength for radio...routes computed using Maximum Concurrent Multi-Commodity flow algorithm are not susceptible to rapid topology variations induced by noise. 57 5

  20. Context-aware pattern discovery for moving object trajectories

    NASA Astrophysics Data System (ADS)

    Sharif, Mohammad; Asghar Alesheikh, Ali; Kaffash Charandabi, Neda

    2018-05-01

    Movement of point objects are highly sensitive to the underlying situations and conditions during the movement, which are known as contexts. Analyzing movement patterns, while accounting the contextual information, helps to better understand how point objects behave in various contexts and how contexts affect their trajectories. One potential solution for discovering moving objects patterns is analyzing the similarities of their trajectories. This article, therefore, contextualizes the similarity measure of trajectories by not only their spatial footprints but also a notion of internal and external contexts. The dynamic time warping (DTW) method is employed to assess the multi-dimensional similarities of trajectories. Then, the results of similarity searches are utilized in discovering the relative movement patterns of the moving point objects. Several experiments are conducted on real datasets that were obtained from commercial airplanes and the weather information during the flights. The results yielded the robustness of DTW method in quantifying the commonalities of trajectories and discovering movement patterns with 80 % accuracy. Moreover, the results revealed the importance of exploiting contextual information because it can enhance and restrict movements.

  1. Integrating Socio-Cultural Contexts and Location-based Systems for Ubiquitous Language Learning in Museums: A State of the Art Review of 2009-2014

    ERIC Educational Resources Information Center

    Wang, Hong-You; Liu, Gi-Zen; Hwang, Gwo-Jen

    2017-01-01

    Context-dependent learning systems are now becoming more common in museums, as most students are equipped with mobile devices. As there has been little research into context-aware mobile applications in museums, the present study aims to investigate ubiquitous language learning in socio-cultural contexts, as well as recent trends in using…

  2. Prototype Development: Context-Driven Dynamic XML Ophthalmologic Data Capture Application

    PubMed Central

    Schwei, Kelsey M; Kadolph, Christopher; Finamore, Joseph; Cancel, Efrain; McCarty, Catherine A; Okorie, Asha; Thomas, Kate L; Allen Pacheco, Jennifer; Pathak, Jyotishman; Ellis, Stephen B; Denny, Joshua C; Rasmussen, Luke V; Tromp, Gerard; Williams, Marc S; Vrabec, Tamara R; Brilliant, Murray H

    2017-01-01

    Background The capture and integration of structured ophthalmologic data into electronic health records (EHRs) has historically been a challenge. However, the importance of this activity for patient care and research is critical. Objective The purpose of this study was to develop a prototype of a context-driven dynamic extensible markup language (XML) ophthalmologic data capture application for research and clinical care that could be easily integrated into an EHR system. Methods Stakeholders in the medical, research, and informatics fields were interviewed and surveyed to determine data and system requirements for ophthalmologic data capture. On the basis of these requirements, an ophthalmology data capture application was developed to collect and store discrete data elements with important graphical information. Results The context-driven data entry application supports several features, including ink-over drawing capability for documenting eye abnormalities, context-based Web controls that guide data entry based on preestablished dependencies, and an adaptable database or XML schema that stores Web form specifications and allows for immediate changes in form layout or content. The application utilizes Web services to enable data integration with a variety of EHRs for retrieval and storage of patient data. Conclusions This paper describes the development process used to create a context-driven dynamic XML data capture application for optometry and ophthalmology. The list of ophthalmologic data elements identified as important for care and research can be used as a baseline list for future ophthalmologic data collection activities. PMID:28903894

  3. Locality Aware Concurrent Start for Stencil Applications

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Shrestha, Sunil; Gao, Guang R.; Manzano Franco, Joseph B.

    Stencil computations are at the heart of many physical simulations used in scientific codes. Thus, there exists a plethora of optimization efforts for this family of computations. Among these techniques, tiling techniques that allow concurrent start have proven to be very efficient in providing better performance for these critical kernels. Nevertheless, with many core designs being the norm, these optimization techniques might not be able to fully exploit locality (both spatial and temporal) on multiple levels of the memory hierarchy without compromising parallelism. It is no longer true that the machine can be seen as a homogeneous collection of nodesmore » with caches, main memory and an interconnect network. New architectural designs exhibit complex grouping of nodes, cores, threads, caches and memory connected by an ever evolving network-on-chip design. These new designs may benefit greatly from carefully crafted schedules and groupings that encourage parallel actors (i.e. threads, cores or nodes) to be aware of the computational history of other actors in close proximity. In this paper, we provide an efficient tiling technique that allows hierarchical concurrent start for memory hierarchy aware tile groups. Each execution schedule and tile shape exploit the available parallelism, load balance and locality present in the given applications. We demonstrate our technique on the Intel Xeon Phi architecture with selected and representative stencil kernels. We show improvement ranging from 5.58% to 31.17% over existing state-of-the-art techniques.« less

  4. Concepts of context in music therapy

    PubMed Central

    Rolvsjord, Randi; Stige, Brynjulf

    2015-01-01

    In contemporary music therapy as well as in related interdisciplinary fields, the importance of context in relation to theory, research, and practice has been emphasized. However, the word context seems to be used in several different ways and conceptualizations of contextual approaches vary too. The objective of this theoretical article is to clarify traditions of language use in relation to context in music therapy. In reviewing and discussing the literature, we focus on the field of mental health care. When discussing issues related to context, this literature partly focuses on the surroundings of music therapy practice, partly on the ecology of reciprocal influences within and between situations or systems. On this basis, three types of context awareness in music therapy are identified: music therapy in context; music therapy as context; and music therapy as interacting contexts. The identified types of context awareness are exemplified through references to music therapy literature and then discussed in relation to two very different metaphors, namely context as frame and context as link. Implications for practice, research, and theory development in music therapy are suggested. PMID:26157199

  5. Concepts of context in music therapy.

    PubMed

    Rolvsjord, Randi; Stige, Brynjulf

    2015-01-02

    In contemporary music therapy as well as in related interdisciplinary fields, the importance of context in relation to theory, research, and practice has been emphasized. However, the word context seems to be used in several different ways and conceptualizations of contextual approaches vary too. The objective of this theoretical article is to clarify traditions of language use in relation to context in music therapy. In reviewing and discussing the literature, we focus on the field of mental health care. When discussing issues related to context, this literature partly focuses on the surroundings of music therapy practice, partly on the ecology of reciprocal influences within and between situations or systems. On this basis, three types of context awareness in music therapy are identified: music therapy in context; music therapy as context; and music therapy as interacting contexts. The identified types of context awareness are exemplified through references to music therapy literature and then discussed in relation to two very different metaphors, namely context as frame and context as link. Implications for practice, research, and theory development in music therapy are suggested.

  6. Women's Awareness and Knowledge of Abortion Laws: A Systematic Review.

    PubMed

    Assifi, Anisa R; Berger, Blair; Tunçalp, Özge; Khosla, Rajat; Ganatra, Bela

    2016-01-01

    Incorrect knowledge of laws may affect how women enter the health system or seek services, and it likely contributes to the disconnect between official laws and practical applications of the laws that influence women's access to safe, legal abortion services. To provide a synthesis of evidence of women's awareness and knowledge of the legal status of abortion in their country, and the accuracy of women's knowledge on specific legal grounds and restrictions outlined in a country's abortion law. A systematic search was carried for articles published between 1980-2015. Quantitative, mixed-method data collection, and objectives related to women's awareness or knowledge of the abortion law was included. Full texts were assessed, and data extraction done by a single reviewer. Final inclusion for analysis was assessed by two reviewers. The results were synthesised into tables, using narrative synthesis. Of the original 3,126 articles, and 16 hand searched citations, 24 studies were included for analysis. Women's correct general awareness and knowledge of the legal status was less than 50% in nine studies. In six studies, knowledge of legalization/liberalisation ranged between 32.3%-68.2%. Correct knowledge of abortion on the grounds of rape ranged from 12.8%-98%, while in the case of incest, ranged from 9.8%-64.5%. Abortion on the grounds of fetal impairment and gestational limits, varied widely from 7%-94% and 0%-89.5% respectively. This systematic review synthesizes literature on women's awareness and knowledge of the abortion law in their own context. The findings show that correct general awareness and knowledge of the abortion law and legal grounds and restrictions amongst women was limited, even in countries where the laws were liberal. Thus, interventions to disseminate accurate information on the legal context are necessary.

  7. Assessing Development of Meta-Pragmatic Awareness in Study Abroad

    ERIC Educational Resources Information Center

    Kinginger, Celeste; Farrell, Kathleen

    2004-01-01

    In this paper, the authors explore a methodology for assessing learners' meta-pragmatic awareness of variation in French language use. "Meta-pragmatic awareness" is defined as knowledge of the social meaning of variable second language forms and awareness of the ways in which these forms mark different aspects of social contexts, and is therefore…

  8. Context-Aware Online Commercial Intention Detection

    NASA Astrophysics Data System (ADS)

    Hu, Derek Hao; Shen, Dou; Sun, Jian-Tao; Yang, Qiang; Chen, Zheng

    With more and more commercial activities moving onto the Internet, people tend to purchase what they need through Internet or conduct some online research before the actual transactions happen. For many Web users, their online commercial activities start from submitting a search query to search engines. Just like the common Web search queries, the queries with commercial intention are usually very short. Recognizing the queries with commercial intention against the common queries will help search engines provide proper search results and advertisements, help Web users obtain the right information they desire and help the advertisers benefit from the potential transactions. However, the intentions behind a query vary a lot for users with different background and interest. The intentions can even be different for the same user, when the query is issued in different contexts. In this paper, we present a new algorithm framework based on skip-chain conditional random field (SCCRF) for automatically classifying Web queries according to context-based online commercial intention. We analyze our algorithm performance both theoretically and empirically. Extensive experiments on several real search engine log datasets show that our algorithm can improve more than 10% on F1 score than previous algorithms on commercial intention detection.

  9. Dynamic Assessment of Morphological Awareness in the EFL Context

    ERIC Educational Resources Information Center

    Hamavandi, Mahnoosh; Rezai, Mohammad Javad; Mazdayasna, Golnar

    2017-01-01

    The Vygotskyan concept of the Zone of Proximal Development forms the basis of DA which endorses interaction between teacher and learner during the assessment procedure. Although morphological awareness constitutes a key aspect of reading comprehension, little research has addressed the effect of morphological dynamic assessment (DA) on EFL…

  10. Near Real Time Applications for Maritime Situational Awareness

    NASA Astrophysics Data System (ADS)

    Schwarz, E.; Krause, D.; Berg, M.; Daedelow, H.; Maass, H.

    2015-04-01

    Applications to derive maritime value added products like oil spill and ship detection based on remote sensing SAR image data are being developed and integrated at the Ground Station Neustrelitz, part of the German Remote Sensing Data Center. Products of meteo-marine parameters like wind and wave will complement the product portfolio. Research and development aim at the implementation of highly automated services for operational use. SAR images are being used because of the possibility to provide maritime products with high spatial resolution over wide swaths and under all weather conditions. In combination with other information like Automatic Identification System (AIS) data fusion products are available to support the Maritime Situational Awareness.

  11. The shortened dental arch concept: awareness and opinion of dentists in Victoria, Australia.

    PubMed

    Abuzar, M A; Humplik, A J; Shahim, N

    2015-09-01

    The occlusion of a complete dental arch is generally desirable but not necessary nor always achievable in many individuals. It is, however, relevant for dentists to consider what minimum number of teeth is required by individuals for oral function. This study investigated dentists' awareness and opinion of the shortened dental arch (SDA) concept in an Australian context. A self-administered voluntary and anonymous questionnaire was mailed to a sample of 434 dentists, randomly selected from both rural and metropolitan locations in Victoria, Australia. The information collected included awareness of the SDA concept and its application as a treatment option. More than half of the respondents (61%) were aware of the SDA concept. All respondents 'agreed' or 'strongly agreed' with the seven criteria of SDA proposed in this study based on Käyser (1989). The majority (78.4%) believed that the SDA concept is useful in clinical practice. Dentists with <20 years of experience expressed more awareness compared to others (χ(2) test, p = 0.004). Most dentists who responded to this survey agreed that the SDA is a practical and useful treatment modality for older adults with limitations to complex restorative care. However, application of the SDA varied considerably among dentists. © 2015 Australian Dental Association.

  12. Increasing fall risk awareness using wearables: A fall risk awareness protocol.

    PubMed

    Danielsen, Asbjørn; Olofsen, Hans; Bremdal, Bernt Arild

    2016-10-01

    Each year about a third of elderly aged 65 or older experience a fall. Many of these falls may have been avoided if fall risk assessment and prevention tools where available in a daily living situation. We identify what kind of information is relevant for doing fall risk assessment and prevention using wearable sensors in a daily living environment by investigating current research, distinguishing between prospective and context-aware fall risk assessment and prevention. Based on our findings, we propose a fall risk awareness protocol as a fall prevention tool integrating both wearables and ambient sensing technology into a single platform. Copyright © 2016. Published by Elsevier Inc.

  13. An energy-aware routing protocol for query-based applications in wireless sensor networks.

    PubMed

    Ahvar, Ehsan; Ahvar, Shohreh; Lee, Gyu Myoung; Crespi, Noel

    2014-01-01

    Wireless sensor network (WSN) typically has energy consumption restriction. Designing energy-aware routing protocol can significantly reduce energy consumption in WSNs. Energy-aware routing protocols can be classified into two categories, energy savers and energy balancers. Energy saving protocols are used to minimize the overall energy consumed by a WSN, while energy balancing protocols attempt to efficiently distribute the consumption of energy throughout the network. In general terms, energy saving protocols are not necessarily good at balancing energy consumption and energy balancing protocols are not always good at reducing energy consumption. In this paper, we propose an energy-aware routing protocol (ERP) for query-based applications in WSNs, which offers a good trade-off between traditional energy balancing and energy saving objectives and supports a soft real time packet delivery. This is achieved by means of fuzzy sets and learning automata techniques along with zonal broadcasting to decrease total energy consumption.

  14. Spatio-Temporal Reasoning and Context Awareness

    NASA Astrophysics Data System (ADS)

    Guesgen, Hans W.; Marsland, Stephen

    Smart homes provide many research challenges, but some of the most interesting ones are in dealing with data that monitors human behaviour and that is inherently both spatial and temporal in nature. This means that context becomes all important: a person lying down in front of the fireplace could be perfectly normal behaviour if it was cold and the fire was on, but otherwise it is unusual. In this example, the context can include temporal resolution on various scales (it is winter and therefore probably cold, it is not nighttime when the person would be expected to be in bed rather than the living room) as well as spatial (the person is lying in front of the fireplace) and extra information such as whether or not the fire is lit. It could also include information about how they reached their current situation: if they went from standing to lying very suddenly there would be rather more cause for concern than if they first knelt down and then lowered themselves onto the floor. Representing all of these different temporal and spatial aspects together is a major challenge for smart home research. In this chapter we will provide an overview of some of the methodologies that can be used to deal with these problems. We will also outline our own research agenda in the Massey University Smart Environments (MUSE) group.

  15. Development and Relationships Between Phonological Awareness, Morphological Awareness and Word Reading in Spoken and Standard Arabic.

    PubMed

    Schiff, Rachel; Saiegh-Haddad, Elinor

    2018-01-01

    This study addressed the development of and the relationship between foundational metalinguistic skills and word reading skills in Arabic. It compared Arabic-speaking children's phonological awareness (PA), morphological awareness, and voweled and unvoweled word reading skills in spoken and standard language varieties separately in children across five grade levels from childhood to adolescence. Second, it investigated whether skills developed in the spoken variety of Arabic predict reading in the standard variety. Results indicate that although individual differences between students in PA are eliminated toward the end of elementary school in both spoken and standard language varieties, gaps in morphological awareness and in reading skills persisted through junior and high school years. The results also show that the gap in reading accuracy and fluency between Spoken Arabic (SpA) and Standard Arabic (StA) was evident in both voweled and unvoweled words. Finally, regression analyses showed that morphological awareness in SpA contributed to reading fluency in StA, i.e., children's early morphological awareness in SpA explained variance in children's gains in reading fluency in StA. These findings have important theoretical and practical contributions for Arabic reading theory in general and they extend the previous work regarding the cross-linguistic relevance of foundational metalinguistic skills in the first acquired language to reading in a second language, as in societal bilingualism contexts, or a second language variety, as in diglossic contexts.

  16. Development and Relationships Between Phonological Awareness, Morphological Awareness and Word Reading in Spoken and Standard Arabic

    PubMed Central

    Schiff, Rachel; Saiegh-Haddad, Elinor

    2018-01-01

    This study addressed the development of and the relationship between foundational metalinguistic skills and word reading skills in Arabic. It compared Arabic-speaking children’s phonological awareness (PA), morphological awareness, and voweled and unvoweled word reading skills in spoken and standard language varieties separately in children across five grade levels from childhood to adolescence. Second, it investigated whether skills developed in the spoken variety of Arabic predict reading in the standard variety. Results indicate that although individual differences between students in PA are eliminated toward the end of elementary school in both spoken and standard language varieties, gaps in morphological awareness and in reading skills persisted through junior and high school years. The results also show that the gap in reading accuracy and fluency between Spoken Arabic (SpA) and Standard Arabic (StA) was evident in both voweled and unvoweled words. Finally, regression analyses showed that morphological awareness in SpA contributed to reading fluency in StA, i.e., children’s early morphological awareness in SpA explained variance in children’s gains in reading fluency in StA. These findings have important theoretical and practical contributions for Arabic reading theory in general and they extend the previous work regarding the cross-linguistic relevance of foundational metalinguistic skills in the first acquired language to reading in a second language, as in societal bilingualism contexts, or a second language variety, as in diglossic contexts. PMID:29686633

  17. A Context-Aware Model to Provide Positioning in Disaster Relief Scenarios

    PubMed Central

    Moreno, Daniel; Ochoa, Sergio F.; Meseguer, Roc

    2015-01-01

    The effectiveness of the work performed during disaster relief efforts is highly dependent on the coordination of activities conducted by the first responders deployed in the affected area. Such coordination, in turn, depends on an appropriate management of geo-referenced information. Therefore, enabling first responders to count on positioning capabilities during these activities is vital to increase the effectiveness of the response process. The positioning methods used in this scenario must assume a lack of infrastructure-based communication and electrical energy, which usually characterizes affected areas. Although positioning systems such as the Global Positioning System (GPS) have been shown to be useful, we cannot assume that all devices deployed in the area (or most of them) will have positioning capabilities by themselves. Typically, many first responders carry devices that are not capable of performing positioning on their own, but that require such a service. In order to help increase the positioning capability of first responders in disaster-affected areas, this paper presents a context-aware positioning model that allows mobile devices to estimate their position based on information gathered from their surroundings. The performance of the proposed model was evaluated using simulations, and the obtained results show that mobile devices without positioning capabilities were able to use the model to estimate their position. Moreover, the accuracy of the positioning model has been shown to be suitable for conducting most first response activities. PMID:26437406

  18. Women’s Awareness and Knowledge of Abortion Laws: A Systematic Review

    PubMed Central

    Assifi, Anisa R.; Berger, Blair; Tunçalp, Özge; Khosla, Rajat; Ganatra, Bela

    2016-01-01

    Background Incorrect knowledge of laws may affect how women enter the health system or seek services, and it likely contributes to the disconnect between official laws and practical applications of the laws that influence women’s access to safe, legal abortion services. Objective To provide a synthesis of evidence of women’s awareness and knowledge of the legal status of abortion in their country, and the accuracy of women’s knowledge on specific legal grounds and restrictions outlined in a country’s abortion law. Methods A systematic search was carried for articles published between 1980–2015. Quantitative, mixed-method data collection, and objectives related to women’s awareness or knowledge of the abortion law was included. Full texts were assessed, and data extraction done by a single reviewer. Final inclusion for analysis was assessed by two reviewers. The results were synthesised into tables, using narrative synthesis. Results Of the original 3,126 articles, and 16 hand searched citations, 24 studies were included for analysis. Women’s correct general awareness and knowledge of the legal status was less than 50% in nine studies. In six studies, knowledge of legalization/liberalisation ranged between 32.3% - 68.2%. Correct knowledge of abortion on the grounds of rape ranged from 12.8% – 98%, while in the case of incest, ranged from 9.8% - 64.5%. Abortion on the grounds of fetal impairment and gestational limits, varied widely from 7% - 94% and 0% - 89.5% respectively. Conclusion This systematic review synthesizes literature on women’s awareness and knowledge of the abortion law in their own context. The findings show that correct general awareness and knowledge of the abortion law and legal grounds and restrictions amongst women was limited, even in countries where the laws were liberal. Thus, interventions to disseminate accurate information on the legal context are necessary. PMID:27010629

  19. Bridging the gap between formal and experience-based knowledge for context-aware laparoscopy.

    PubMed

    Katić, Darko; Schuck, Jürgen; Wekerle, Anna-Laura; Kenngott, Hannes; Müller-Stich, Beat Peter; Dillmann, Rüdiger; Speidel, Stefanie

    2016-06-01

    Computer assistance is increasingly common in surgery. However, the amount of information is bound to overload processing abilities of surgeons. We propose methods to recognize the current phase of a surgery for context-aware information filtering. The purpose is to select the most suitable subset of information for surgical situations which require special assistance. We combine formal knowledge, represented by an ontology, and experience-based knowledge, represented by training samples, to recognize phases. For this purpose, we have developed two different methods. Firstly, we use formal knowledge about possible phase transitions to create a composition of random forests. Secondly, we propose a method based on cultural optimization to infer formal rules from experience to recognize phases. The proposed methods are compared with a purely formal knowledge-based approach using rules and a purely experience-based one using regular random forests. The comparative evaluation on laparoscopic pancreas resections and adrenalectomies employs a consistent set of quality criteria on clean and noisy input. The rule-based approaches proved best with noisefree data. The random forest-based ones were more robust in the presence of noise. Formal and experience-based knowledge can be successfully combined for robust phase recognition.

  20. An Energy-Aware Routing Protocol for Query-Based Applications in Wireless Sensor Networks

    PubMed Central

    Crespi, Noel

    2014-01-01

    Wireless sensor network (WSN) typically has energy consumption restriction. Designing energy-aware routing protocol can significantly reduce energy consumption in WSNs. Energy-aware routing protocols can be classified into two categories, energy savers and energy balancers. Energy saving protocols are used to minimize the overall energy consumed by a WSN, while energy balancing protocols attempt to efficiently distribute the consumption of energy throughout the network. In general terms, energy saving protocols are not necessarily good at balancing energy consumption and energy balancing protocols are not always good at reducing energy consumption. In this paper, we propose an energy-aware routing protocol (ERP) for query-based applications in WSNs, which offers a good trade-off between traditional energy balancing and energy saving objectives and supports a soft real time packet delivery. This is achieved by means of fuzzy sets and learning automata techniques along with zonal broadcasting to decrease total energy consumption. PMID:24696640

  1. Prototype Development: Context-Driven Dynamic XML Ophthalmologic Data Capture Application.

    PubMed

    Peissig, Peggy; Schwei, Kelsey M; Kadolph, Christopher; Finamore, Joseph; Cancel, Efrain; McCarty, Catherine A; Okorie, Asha; Thomas, Kate L; Allen Pacheco, Jennifer; Pathak, Jyotishman; Ellis, Stephen B; Denny, Joshua C; Rasmussen, Luke V; Tromp, Gerard; Williams, Marc S; Vrabec, Tamara R; Brilliant, Murray H

    2017-09-13

    The capture and integration of structured ophthalmologic data into electronic health records (EHRs) has historically been a challenge. However, the importance of this activity for patient care and research is critical. The purpose of this study was to develop a prototype of a context-driven dynamic extensible markup language (XML) ophthalmologic data capture application for research and clinical care that could be easily integrated into an EHR system. Stakeholders in the medical, research, and informatics fields were interviewed and surveyed to determine data and system requirements for ophthalmologic data capture. On the basis of these requirements, an ophthalmology data capture application was developed to collect and store discrete data elements with important graphical information. The context-driven data entry application supports several features, including ink-over drawing capability for documenting eye abnormalities, context-based Web controls that guide data entry based on preestablished dependencies, and an adaptable database or XML schema that stores Web form specifications and allows for immediate changes in form layout or content. The application utilizes Web services to enable data integration with a variety of EHRs for retrieval and storage of patient data. This paper describes the development process used to create a context-driven dynamic XML data capture application for optometry and ophthalmology. The list of ophthalmologic data elements identified as important for care and research can be used as a baseline list for future ophthalmologic data collection activities. ©Peggy Peissig, Kelsey M Schwei, Christopher Kadolph, Joseph Finamore, Efrain Cancel, Catherine A McCarty, Asha Okorie, Kate L Thomas, Jennifer Allen Pacheco, Jyotishman Pathak, Stephen B Ellis, Joshua C Denny, Luke V Rasmussen, Gerard Tromp, Marc S Williams, Tamara R Vrabec, Murray H Brilliant. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 13.09.2017.

  2. Raising Cultural Awareness in the English Language Classroom

    ERIC Educational Resources Information Center

    Frank, Jerrold

    2013-01-01

    This article discusses how teachers can incorporate cultural knowledge into English language classes, exploring elements of culture, intercultural phenomena, and high-context and low-context cultures. Activities offered by the author to raise cultural awareness include web quests, role plays, cultural observations, and culture journals.

  3. Affinity-aware checkpoint restart

    DOE PAGES

    Saini, Ajay; Rezaei, Arash; Mueller, Frank; ...

    2014-12-08

    Current checkpointing techniques employed to overcome faults for HPC applications result in inferior application performance after restart from a checkpoint for a number of applications. This is due to a lack of page and core affinity awareness of the checkpoint/restart (C/R) mechanism, i.e., application tasks originally pinned to cores may be restarted on different cores, and in case of non-uniform memory architectures (NUMA), quite common today, memory pages associated with tasks on a NUMA node may be associated with a different NUMA node after restart. Here, this work contributes a novel design technique for C/R mechanisms to preserve task-to-core mapsmore » and NUMA node specific page affinities across restarts. Experimental results with BLCR, a C/R mechanism, enhanced with affinity awareness demonstrate significant performance benefits of 37%-73% for the NAS Parallel Benchmark codes and 6-12% for NAMD with negligible overheads instead of up to nearly four times longer an execution times without affinity-aware restarts on 16 cores.« less

  4. Affinity-aware checkpoint restart

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Saini, Ajay; Rezaei, Arash; Mueller, Frank

    Current checkpointing techniques employed to overcome faults for HPC applications result in inferior application performance after restart from a checkpoint for a number of applications. This is due to a lack of page and core affinity awareness of the checkpoint/restart (C/R) mechanism, i.e., application tasks originally pinned to cores may be restarted on different cores, and in case of non-uniform memory architectures (NUMA), quite common today, memory pages associated with tasks on a NUMA node may be associated with a different NUMA node after restart. Here, this work contributes a novel design technique for C/R mechanisms to preserve task-to-core mapsmore » and NUMA node specific page affinities across restarts. Experimental results with BLCR, a C/R mechanism, enhanced with affinity awareness demonstrate significant performance benefits of 37%-73% for the NAS Parallel Benchmark codes and 6-12% for NAMD with negligible overheads instead of up to nearly four times longer an execution times without affinity-aware restarts on 16 cores.« less

  5. A survey of context recognition in surgery.

    PubMed

    Pernek, Igor; Ferscha, Alois

    2017-10-01

    With the introduction of operating rooms of the future context awareness has gained importance in the surgical environment. This paper organizes and reviews different approaches for recognition of context in surgery. Major electronic research databases were queried to obtain relevant publications submitted between the years 2010 and 2015. Three different types of context were identified: (i) the surgical workflow context, (ii) surgeon's cognitive and (iii) technical state context. A total of 52 relevant studies were identified and grouped based on the type of context detected and sensors used. Different approaches were summarized to provide recommendations for future research. There is still room for improvement in terms of methods used and evaluations performed. Machine learning should be used more extensively to uncover hidden relationships between different properties of the surgeon's state, particularly when performing cognitive context recognition. Furthermore, validation protocols should be improved by performing more evaluations in situ and with a higher number of unique participants. The paper also provides a structured outline of recent context recognition methods to facilitate development of new generation context-aware surgical support systems.

  6. Spatiotemporal Context Awareness for Urban Traffic Modeling and Prediction: Sparse Representation Based Variable Selection.

    PubMed

    Yang, Su; Shi, Shixiong; Hu, Xiaobing; Wang, Minjie

    2015-01-01

    Spatial-temporal correlations among the data play an important role in traffic flow prediction. Correspondingly, traffic modeling and prediction based on big data analytics emerges due to the city-scale interactions among traffic flows. A new methodology based on sparse representation is proposed to reveal the spatial-temporal dependencies among traffic flows so as to simplify the correlations among traffic data for the prediction task at a given sensor. Three important findings are observed in the experiments: (1) Only traffic flows immediately prior to the present time affect the formation of current traffic flows, which implies the possibility to reduce the traditional high-order predictors into an 1-order model. (2) The spatial context relevant to a given prediction task is more complex than what is assumed to exist locally and can spread out to the whole city. (3) The spatial context varies with the target sensor undergoing prediction and enlarges with the increment of time lag for prediction. Because the scope of human mobility is subject to travel time, identifying the varying spatial context against time lag is crucial for prediction. Since sparse representation can capture the varying spatial context to adapt to the prediction task, it outperforms the traditional methods the inputs of which are confined as the data from a fixed number of nearby sensors. As the spatial-temporal context for any prediction task is fully detected from the traffic data in an automated manner, where no additional information regarding network topology is needed, it has good scalability to be applicable to large-scale networks.

  7. Spatiotemporal Context Awareness for Urban Traffic Modeling and Prediction: Sparse Representation Based Variable Selection

    PubMed Central

    Yang, Su; Shi, Shixiong; Hu, Xiaobing; Wang, Minjie

    2015-01-01

    Spatial-temporal correlations among the data play an important role in traffic flow prediction. Correspondingly, traffic modeling and prediction based on big data analytics emerges due to the city-scale interactions among traffic flows. A new methodology based on sparse representation is proposed to reveal the spatial-temporal dependencies among traffic flows so as to simplify the correlations among traffic data for the prediction task at a given sensor. Three important findings are observed in the experiments: (1) Only traffic flows immediately prior to the present time affect the formation of current traffic flows, which implies the possibility to reduce the traditional high-order predictors into an 1-order model. (2) The spatial context relevant to a given prediction task is more complex than what is assumed to exist locally and can spread out to the whole city. (3) The spatial context varies with the target sensor undergoing prediction and enlarges with the increment of time lag for prediction. Because the scope of human mobility is subject to travel time, identifying the varying spatial context against time lag is crucial for prediction. Since sparse representation can capture the varying spatial context to adapt to the prediction task, it outperforms the traditional methods the inputs of which are confined as the data from a fixed number of nearby sensors. As the spatial-temporal context for any prediction task is fully detected from the traffic data in an automated manner, where no additional information regarding network topology is needed, it has good scalability to be applicable to large-scale networks. PMID:26496370

  8. Sensor fusion and computer vision for context-aware control of a multi degree-of-freedom prosthesis.

    PubMed

    Markovic, Marko; Dosen, Strahinja; Popovic, Dejan; Graimann, Bernhard; Farina, Dario

    2015-12-01

    Myoelectric activity volitionally generated by the user is often used for controlling hand prostheses in order to replicate the synergistic actions of muscles in healthy humans during grasping. Muscle synergies in healthy humans are based on the integration of visual perception, heuristics and proprioception. Here, we demonstrate how sensor fusion that combines artificial vision and proprioceptive information with the high-level processing characteristics of biological systems can be effectively used in transradial prosthesis control. We developed a novel context- and user-aware prosthesis (CASP) controller integrating computer vision and inertial sensing with myoelectric activity in order to achieve semi-autonomous and reactive control of a prosthetic hand. The presented method semi-automatically provides simultaneous and proportional control of multiple degrees-of-freedom (DOFs), thus decreasing overall physical effort while retaining full user control. The system was compared against the major commercial state-of-the art myoelectric control system in ten able-bodied and one amputee subject. All subjects used transradial prosthesis with an active wrist to grasp objects typically associated with activities of daily living. The CASP significantly outperformed the myoelectric interface when controlling all of the prosthesis DOF. However, when tested with less complex prosthetic system (smaller number of DOF), the CASP was slower but resulted with reaching motions that contained less compensatory movements. Another important finding is that the CASP system required minimal user adaptation and training. The CASP constitutes a substantial improvement for the control of multi-DOF prostheses. The application of the CASP will have a significant impact when translated to real-life scenarious, particularly with respect to improving the usability and acceptance of highly complex systems (e.g., full prosthetic arms) by amputees.

  9. Collaborative knowledge acquisition for the design of context-aware alert systems.

    PubMed

    Joffe, Erel; Havakuk, Ofer; Herskovic, Jorge R; Patel, Vimla L; Bernstam, Elmer Victor

    2012-01-01

    To present a framework for combining implicit knowledge acquisition from multiple experts with machine learning and to evaluate this framework in the context of anemia alerts. Five internal medicine residents reviewed 18 anemia alerts, while 'talking aloud'. They identified features that were reviewed by two or more physicians to determine appropriate alert level, etiology and treatment recommendation. Based on these features, data were extracted from 100 randomly-selected anemia cases for a training set and an additional 82 cases for a test set. Two staff internists assigned an alert level, etiology and treatment recommendation before and after reviewing the entire electronic medical record. The training set of 118 cases (100 plus 18) and the test set of 82 cases were explored using RIDOR and JRip algorithms. The feature set was sufficient to assess 93% of anemia cases (intraclass correlation for alert level before and after review of the records by internists 1 and 2 were 0.92 and 0.95, respectively). High-precision classifiers were constructed to identify low-level alerts (precision p=0.87, recall R=0.4), iron deficiency (p=1.0, R=0.73), and anemia associated with kidney disease (p=0.87, R=0.77). It was possible to identify low-level alerts and several conditions commonly associated with chronic anemia. This approach may reduce the number of clinically unimportant alerts. The study was limited to anemia alerts. Furthermore, clinicians were aware of the study hypotheses potentially biasing their evaluation. Implicit knowledge acquisition, collaborative filtering and machine learning were combined automatically to induce clinically meaningful and precise decision rules.

  10. Young children's racial awareness and affect and their perceptions about mothers' racial affect in a multiracial context.

    PubMed

    Lam, Virginia; Guerrero, Silvia; Damree, Natasha; Enesco, Ileana

    2011-11-01

    There is a substantial literature documenting pre-schoolers' racial awareness and affect from multiracial societies in North America and a fast-growing body of work from societies that are or were once more racially homogeneous. However, studies in Britain, a racially diverse society, on this developmental period have been curiously rare. This study examined racial awareness and affect of 125 White, Black, and Asian 3--to 5-year-olds in London. Children were tested on cognitive level, person description and classification, race labelling and matching, self-categorization and asked about their racial preference and rejection and inferences about their mothers' preference and rejection. Children were least likely to use race versus other categorical cues to spontaneously describe or classify others, even though the majority correctly sorted others by race labels, matched them to drawings, and categorized themselves by race. With age and increasing cognitive level, children described and categorized others by race more and improved in race matching. White children from age 4 preferred White peers and inferred that their mothers would prefer White children at age 5. Children's own preference and inference about mothers are related. Children did not show race-based rejection, but boys inferred that their mothers would prefer White children and reject Black children. The findings are discussed in relation to racial salience between contexts, previous research, and theories. ©2010 The British Psychological Society.

  11. Psycho-Linguistic Model of Reading Strategies Awareness in EFL Contexts

    ERIC Educational Resources Information Center

    Ghahari, Shima; Basanjideh, Mahin

    2017-01-01

    With the advent of learner-centered approaches to language learning and life skills education paradigm in psychology, language classrooms are conceived a fitting educational setting for life skills intervention. This study investigated reading strategies awareness, as a legacy of humanistic psychology and learner-centered movement, of language…

  12. Semantic Classification of Diseases in Discharge Summaries Using a Context-aware Rule-based Classifier

    PubMed Central

    Solt, Illés; Tikk, Domonkos; Gál, Viktor; Kardkovács, Zsolt T.

    2009-01-01

    Objective Automated and disease-specific classification of textual clinical discharge summaries is of great importance in human life science, as it helps physicians to make medical studies by providing statistically relevant data for analysis. This can be further facilitated if, at the labeling of discharge summaries, semantic labels are also extracted from text, such as whether a given disease is present, absent, questionable in a patient, or is unmentioned in the document. The authors present a classification technique that successfully solves the semantic classification task. Design The authors introduce a context-aware rule-based semantic classification technique for use on clinical discharge summaries. The classification is performed in subsequent steps. First, some misleading parts are removed from the text; then the text is partitioned into positive, negative, and uncertain context segments, then a sequence of binary classifiers is applied to assign the appropriate semantic labels. Measurement For evaluation the authors used the documents of the i2b2 Obesity Challenge and adopted its evaluation measures: F1-macro and F1-micro for measurements. Results On the two subtasks of the Obesity Challenge (textual and intuitive classification) the system performed very well, and achieved a F1-macro = 0.80 for the textual and F1-macro = 0.67 for the intuitive tasks, and obtained second place at the textual and first place at the intuitive subtasks of the challenge. Conclusions The authors show in the paper that a simple rule-based classifier can tackle the semantic classification task more successfully than machine learning techniques, if the training data are limited and some semantic labels are very sparse. PMID:19390101

  13. Drug awareness in adolescents attending a mental health service: analysis of longitudinal data.

    PubMed

    Arnau, Jaume; Bono, Roser; Díaz, Rosa; Goti, Javier

    2011-11-01

    One of the procedures used most recently with longitudinal data is linear mixed models. In the context of health research the increasing number of studies that now use these models bears witness to the growing interest in this type of analysis. This paper describes the application of linear mixed models to a longitudinal study of a sample of Spanish adolescents attending a mental health service, the aim being to investigate their knowledge about the consumption of alcohol and other drugs. More specifically, the main objective was to compare the efficacy of a motivational interviewing programme with a standard approach to drug awareness. The models used to analyse the overall indicator of drug awareness were as follows: (a) unconditional linear growth curve model; (b) growth model with subject-associated variables; and (c) individual curve model with predictive variables. The results showed that awareness increased over time and that the variable 'schooling years' explained part of the between-subjects variation. The effect of motivational interviewing was also significant.

  14. Vision-Aided Context-Aware Framework for Personal Navigation Services

    NASA Astrophysics Data System (ADS)

    Saeedi, S.; Moussa, A.; El-Sheimy, N., , Dr.

    2012-07-01

    The ubiquity of mobile devices (such as smartphones and tablet-PCs) has encouraged the use of location-based services (LBS) that are relevant to the current location and context of a mobile user. The main challenge of LBS is to find a pervasive and accurate personal navigation system (PNS) in different situations of a mobile user. In this paper, we propose a method of personal navigation for pedestrians that allows a user to freely move in outdoor environments. This system aims at detection of the context information which is useful for improving personal navigation. The context information for a PNS consists of user activity modes (e.g. walking, stationary, driving, and etc.) and the mobile device orientation and placement with respect to the user. After detecting the context information, a low-cost integrated positioning algorithm has been employed to estimate pedestrian navigation parameters. The method is based on the integration of the relative user's motion (changes of velocity and heading angle) estimation based on the video image matching and absolute position information provided by GPS. A Kalman filter (KF) has been used to improve the navigation solution when the user is walking and the phone is in his/her hand. The Experimental results demonstrate the capabilities of this method for outdoor personal navigation systems.

  15. Creating a Culture of Language Awareness in Content-Based Contexts

    ERIC Educational Resources Information Center

    Lindahl, Kristen; Watkins, Naomi M.

    2015-01-01

    A "toolkit" approach to professional development is frequently used to assist teachers of English language learners (ELLs), wherein teachers are provided a grab bag of activities and strategies to implement in their classrooms. However, today's heightened language demands call for teachers to develop teacher language awareness (TLA), a…

  16. Foundations of the Self Awareness and Interpersonal Communication Workshop.

    ERIC Educational Resources Information Center

    Keltner, John W.

    A review of the history and development of experiential learning in its educational and therapeutic contexts emphasizes the value of self-awareness as a prerequisite to interpersonal and group development. It also serves to underscore the potential of the Self Awareness and Interpersonal Communication (SAIC) program in an American society with…

  17. MAppERS experience: natural processes and preparedness in the societal context

    NASA Astrophysics Data System (ADS)

    Frigerio, Simone; Schenato, Luca; Bossi, Giulia; Mantovani, Matteo; Marcato, Gianluca; Pasuto, Alessandro

    2016-04-01

    Within natural processes responsibilities from central authorities to local levels as first actors of civil protection is a changing pattern. Prevention and preparedness in natural hazards are long-term goals based on capacities of professional volunteers, and improving the awareness of the citizens as local inhabitants. Local people have impacts on their lives but training and involvement towards specific techniques change their role within risk communication and emergency preparedness. A collaborative user environment is useful for emergency response and support in the wake of disasters, feeding updated information on the ground directly to on-site responders. MAppERS (Mobile Application for Emergency Response and Support) is a funded project (2013-2015 Humanitarian Aid and Civil Protection, ECHO A5) based on human role as "crowd-sourced mappers" through smart phone application able to share GPS-localised and detailed parameters. The feedback from testing and the training courses aim to raising public awareness and participation in a networked disaster response. The project implies design and test of smart phone linked with a real-time dashboard platform for rescue services citizens and volunteers of civil protection. Two pilot sites, including trainings on modules functioning control usability and quality of the product. The synchronized platform offers the activity of cloud data collection with a central data dashboard. Information is collected in a context of floods processes, with crowdsourcing action from local population, for proper awareness with own personal flood plan and long-term preparedness. A second context tested pre-emergency actions on field with rescue team, collecting state-of-art and condition of hazards.

  18. SARANA: language, compiler and run-time system support for spatially aware and resource-aware mobile computing.

    PubMed

    Hari, Pradip; Ko, Kevin; Koukoumidis, Emmanouil; Kremer, Ulrich; Martonosi, Margaret; Ottoni, Desiree; Peh, Li-Shiuan; Zhang, Pei

    2008-10-28

    Increasingly, spatial awareness plays a central role in many distributed and mobile computing applications. Spatially aware applications rely on information about the geographical position of compute devices and their supported services in order to support novel functionality. While many spatial application drivers already exist in mobile and distributed computing, very little systems research has explored how best to program these applications, to express their spatial and temporal constraints, and to allow efficient implementations on highly dynamic real-world platforms. This paper proposes the SARANA system architecture, which includes language and run-time system support for spatially aware and resource-aware applications. SARANA allows users to express spatial regions of interest, as well as trade-offs between quality of result (QoR), latency and cost. The goal is to produce applications that use resources efficiently and that can be run on diverse resource-constrained platforms ranging from laptops to personal digital assistants and to smart phones. SARANA's run-time system manages QoR and cost trade-offs dynamically by tracking resource availability and locations, brokering usage/pricing agreements and migrating programs to nodes accordingly. A resource cost model permeates the SARANA system layers, permitting users to express their resource needs and QoR expectations in units that make sense to them. Although we are still early in the system development, initial versions have been demonstrated on a nine-node system prototype.

  19. Data mining applications in the context of casemix.

    PubMed

    Koh, H C; Leong, S K

    2001-07-01

    In October 1999, the Singapore Government introduced casemix-based funding to public hospitals. The casemix approach to health care funding is expected to yield significant benefits, including equity and rationality in financing health care, the use of comparative casemix data for quality improvement activities, and the provision of information that enables hospitals to understand their cost behaviour and reinforces the drive for more cost-efficient services. However, there is some concern about the "quicker and sicker" syndrome (that is, the rapid discharge of patients with little regard for the quality of outcome). As it is likely that consequences of premature discharges will be reflected in the readmission data, an analysis of possible systematic patterns in readmission data can provide useful insight into the "quicker and sicker" syndrome. This paper explores potential data mining applications in the context of casemix by using readmission data as an illustration. In particular, it illustrates how data mining can be used to better understand readmission data and to detect systematic patterns, if any. From a technical perspective, data mining (which is capable of analysing complex non-linear and interaction relationships) supplements and complements traditional statistical methods in data analysis. From an applications perspective, data mining provides the technology and methodology to analyse mass volume of data to detect hidden patterns in data. Using readmission data as an illustrative data mining application, this paper explores potential data mining applications in the general casemix context.

  20. Emerging Multilingual Awareness in Educational Contexts: From Theory to Practice

    ERIC Educational Resources Information Center

    Jessner, Ulrike; Allgäuer-Hackl, Elisabeth; Hofer, Barbara

    2016-01-01

    The aim of this article is to stress the importance of a dynamic systems or complexity theory approach as a necessary prerequisite to understanding the development of multi-competence in multilingual learners. Selected results from a study on emergent multilingual awareness in children, carried out in South Tyrol, are outlined and discussed. The…

  1. Situational awareness and its application in the delivery suite.

    PubMed

    Edozien, Leroy C

    2015-01-01

    The delivery suite is a high-risk environment. Transitions between low-risk and high-risk can be swift, and sentinel events can occur without warning. The prevention of accidents in this environment rests on the vigilance of the individual practitioner at the frontline. It is, therefore, important that the individual practitioner should develop and maintain the cognitive skills to anticipate, recognize, and intercept unfolding error chains. This commentary gives an overview of a nontechnical skill that is essential for safe practice in a delivery suite: situational awareness. A basic description of situational awareness is provided, using examples of loss of situational awareness in the delivery suite and examples of simple interventions that could promote situational awareness. Involuntary automaticity readily creeps in during performance of routine tasks, and cognitive overload could deplete attentional resources that are, by nature, limited. Strategies and tactics for maintaining situational awareness include proactively seeking and managing information on unfolding events, continually updating individual and team mental models, mindful use of checklists and scoreboards, and avoidance of attentional blindness. These simple interventions require minimal financial resources but could immensely enhance clinical performance and patient safety. Situational awareness should be included in the training of obstetrician-gynecologists and other staff working in a delivery suite.

  2. Collaborative knowledge acquisition for the design of context-aware alert systems

    PubMed Central

    Joffe, Erel; Havakuk, Ofer; Herskovic, Jorge R; Patel, Vimla L

    2012-01-01

    Objective To present a framework for combining implicit knowledge acquisition from multiple experts with machine learning and to evaluate this framework in the context of anemia alerts. Materials and Methods Five internal medicine residents reviewed 18 anemia alerts, while ‘talking aloud’. They identified features that were reviewed by two or more physicians to determine appropriate alert level, etiology and treatment recommendation. Based on these features, data were extracted from 100 randomly-selected anemia cases for a training set and an additional 82 cases for a test set. Two staff internists assigned an alert level, etiology and treatment recommendation before and after reviewing the entire electronic medical record. The training set of 118 cases (100 plus 18) and the test set of 82 cases were explored using RIDOR and JRip algorithms. Results The feature set was sufficient to assess 93% of anemia cases (intraclass correlation for alert level before and after review of the records by internists 1 and 2 were 0.92 and 0.95, respectively). High-precision classifiers were constructed to identify low-level alerts (precision p=0.87, recall R=0.4), iron deficiency (p=1.0, R=0.73), and anemia associated with kidney disease (p=0.87, R=0.77). Discussion It was possible to identify low-level alerts and several conditions commonly associated with chronic anemia. This approach may reduce the number of clinically unimportant alerts. The study was limited to anemia alerts. Furthermore, clinicians were aware of the study hypotheses potentially biasing their evaluation. Conclusion Implicit knowledge acquisition, collaborative filtering and machine learning were combined automatically to induce clinically meaningful and precise decision rules. PMID:22744961

  3. Network-Based Learning and Assessment Applications on the Semantic Web

    ERIC Educational Resources Information Center

    Gibson, David

    2005-01-01

    Today's Web applications are already "aware" of the network of computers and data on the Internet, in the sense that they perceive, remember, and represent knowledge external to themselves. However, Web applications are generally not able to respond to the meaning and context of the information in their memories. As a result, most applications are…

  4. Sensor fusion and computer vision for context-aware control of a multi degree-of-freedom prosthesis

    NASA Astrophysics Data System (ADS)

    Markovic, Marko; Dosen, Strahinja; Popovic, Dejan; Graimann, Bernhard; Farina, Dario

    2015-12-01

    Objective. Myoelectric activity volitionally generated by the user is often used for controlling hand prostheses in order to replicate the synergistic actions of muscles in healthy humans during grasping. Muscle synergies in healthy humans are based on the integration of visual perception, heuristics and proprioception. Here, we demonstrate how sensor fusion that combines artificial vision and proprioceptive information with the high-level processing characteristics of biological systems can be effectively used in transradial prosthesis control. Approach. We developed a novel context- and user-aware prosthesis (CASP) controller integrating computer vision and inertial sensing with myoelectric activity in order to achieve semi-autonomous and reactive control of a prosthetic hand. The presented method semi-automatically provides simultaneous and proportional control of multiple degrees-of-freedom (DOFs), thus decreasing overall physical effort while retaining full user control. The system was compared against the major commercial state-of-the art myoelectric control system in ten able-bodied and one amputee subject. All subjects used transradial prosthesis with an active wrist to grasp objects typically associated with activities of daily living. Main results. The CASP significantly outperformed the myoelectric interface when controlling all of the prosthesis DOF. However, when tested with less complex prosthetic system (smaller number of DOF), the CASP was slower but resulted with reaching motions that contained less compensatory movements. Another important finding is that the CASP system required minimal user adaptation and training. Significance. The CASP constitutes a substantial improvement for the control of multi-DOF prostheses. The application of the CASP will have a significant impact when translated to real-life scenarious, particularly with respect to improving the usability and acceptance of highly complex systems (e.g., full prosthetic arms) by amputees.

  5. Is awareness necessary for true inference?

    PubMed

    Leo, Peter D; Greene, Anthony J

    2008-09-01

    In transitive inference, participants learn a set of context-dependent discriminations that can be organized into a hierarchy that supports inference. Several studies show that inference occurs with or without task awareness. However, some studies assert that without awareness, performance is attributable to pseudoinference. By this account, inference-like performance is achieved by differential stimulus weighting according to the stimuli's proximity to the end items of the hierarchy. We implement an inference task that cannot be based on differential stimulus weighting. The design itself rules out pseudoinference strategies. Success on the task without evidence of deliberative strategies would therefore suggest that true inference can be achieved implicitly. We found that accurate performance on the inference task was not dependent on explicit awareness. The finding is consistent with a growing body of evidence that indicates that forms of learning and memory supporting inference and flexibility do not necessarily depend on task awareness.

  6. Application of Synchrophasor Measurements for Improving Situational Awareness of the Power System

    NASA Astrophysics Data System (ADS)

    Obushevs, A.; Mutule, A.

    2018-04-01

    The paper focuses on the application of synchrophasor measurements that present unprecedented benefits compared to SCADA systems in order to facilitate the successful transformation of the Nordic-Baltic-and-European electric power system to operate with large amounts of renewable energy sources and improve situational awareness of the power system. The article describes new functionalities of visualisation tools to estimate a grid inertia level in real time with monitoring results between Nordic and Baltic power systems.

  7. Context-Aware Adaptive Hybrid Semantic Relatedness in Biomedical Science

    NASA Astrophysics Data System (ADS)

    Emadzadeh, Ehsan

    Text mining of biomedical literature and clinical notes is a very active field of research in biomedical science. Semantic analysis is one of the core modules for different Natural Language Processing (NLP) solutions. Methods for calculating semantic relatedness of two concepts can be very useful in solutions solving different problems such as relationship extraction, ontology creation and question / answering [1--6]. Several techniques exist in calculating semantic relatedness of two concepts. These techniques utilize different knowledge sources and corpora. So far, researchers attempted to find the best hybrid method for each domain by combining semantic relatedness techniques and data sources manually. In this work, attempts were made to eliminate the needs for manually combining semantic relatedness methods targeting any new contexts or resources through proposing an automated method, which attempted to find the best combination of semantic relatedness techniques and resources to achieve the best semantic relatedness score in every context. This may help the research community find the best hybrid method for each context considering the available algorithms and resources.

  8. The Situation Awareness Weighted Network (SAWN) model and method: Theory and application.

    PubMed

    Kalloniatis, Alexander; Ali, Irena; Neville, Timothy; La, Phuong; Macleod, Iain; Zuparic, Mathew; Kohn, Elizabeth

    2017-05-01

    We introduce a novel model and associated data collection method to examine how a distributed organisation of military staff who feed a Common Operating Picture (COP) generates Situation Awareness (SA), a critical component in organisational performance. The proposed empirically derived Situation Awareness Weighted Network (SAWN) model draws on two scientific models of SA, by Endsley involving perception, comprehension and projection, and by Stanton et al. positing that SA exists across a social and semantic network of people and information objects in activities connected across a set of tasks. The output of SAWN is a representation as a weighted semi-bipartite network of the interaction between people ('human nodes') and information artefacts such as documents and system displays ('product nodes'); link weights represent the Endsley levels of SA that individuals acquire from or provide to information objects and other individuals. The SAWN method is illustrated with aggregated empirical data from a case study of Australian military staff undertaking their work during two very different scenarios, during steady-state operations and in a crisis threat context. A key outcome of analysis of the weighted networks is that we are able to quantify flow of SA through an organisation as staff seek to "value-add" in the conduct of their work. Crown Copyright © 2017. Published by Elsevier Ltd. All rights reserved.

  9. Situation Awareness and Levels of Automation

    NASA Technical Reports Server (NTRS)

    Kaber, David B.

    1999-01-01

    During the first year of this project, a taxonomy of theoretical levels of automation (LOAs) was applied to the advanced commercial aircraft by categorizing actual modes of McDonald Douglas MD-11 autoflight system operation in terms of the taxonomy. As well, high LOAs included in the taxonomy (e.g., supervisory control) were modeled in the context of MD-11 autoflight systems through development of a virtual flight simulator. The flight simulator was an integration of a re-configurable simulator developed by the Georgia Institute Technology and new software prototypes of autoflight system modules found in the MD-11 cockpit. In addition to this work, a version of the Situation Awareness Global Assessment Technique (SAGAT) was developed for application to commercial piloting tasks. A software package was developed to deliver the SAGAT and was integrated with the virtual flight simulator.

  10. Data location-aware job scheduling in the grid. Application to the GridWay metascheduler

    NASA Astrophysics Data System (ADS)

    Delgado Peris, Antonio; Hernandez, Jose; Huedo, Eduardo; Llorente, Ignacio M.

    2010-04-01

    Grid infrastructures constitute nowadays the core of the computing facilities of the biggest LHC experiments. These experiments produce and manage petabytes of data per year and run thousands of computing jobs every day to process that data. It is the duty of metaschedulers to allocate the tasks to the most appropriate resources at the proper time. Our work reviews the policies that have been proposed for the scheduling of grid jobs in the context of very data-intensive applications. We indicate some of the practical problems that such models will face and describe what we consider essential characteristics of an optimum scheduling system: aim to minimise not only job turnaround time but also data replication, flexibility to support different virtual organisation requirements and capability to coordinate the tasks of data placement and job allocation while keeping their execution decoupled. These ideas have guided the development of an enhanced prototype for GridWay, a general purpose metascheduler, part of the Globus Toolkit and member of the EGEE's RESPECT program. Current GridWay's scheduling algorithm is unaware of data location. Our prototype makes it possible for job requests to set data needs not only as absolute requirements but also as functions for resource ranking. As our tests show, this makes it more flexible than currently used resource brokers to implement different data-aware scheduling algorithms.

  11. CAFÉ-Map: Context Aware Feature Mapping for mining high dimensional biomedical data.

    PubMed

    Minhas, Fayyaz Ul Amir Afsar; Asif, Amina; Arif, Muhammad

    2016-12-01

    Feature selection and ranking is of great importance in the analysis of biomedical data. In addition to reducing the number of features used in classification or other machine learning tasks, it allows us to extract meaningful biological and medical information from a machine learning model. Most existing approaches in this domain do not directly model the fact that the relative importance of features can be different in different regions of the feature space. In this work, we present a context aware feature ranking algorithm called CAFÉ-Map. CAFÉ-Map is a locally linear feature ranking framework that allows recognition of important features in any given region of the feature space or for any individual example. This allows for simultaneous classification and feature ranking in an interpretable manner. We have benchmarked CAFÉ-Map on a number of toy and real world biomedical data sets. Our comparative study with a number of published methods shows that CAFÉ-Map achieves better accuracies on these data sets. The top ranking features obtained through CAFÉ-Map in a gene profiling study correlate very well with the importance of different genes reported in the literature. Furthermore, CAFÉ-Map provides a more in-depth analysis of feature ranking at the level of individual examples. CAFÉ-Map Python code is available at: http://faculty.pieas.edu.pk/fayyaz/software.html#cafemap . The CAFÉ-Map package supports parallelization and sparse data and provides example scripts for classification. This code can be used to reconstruct the results given in this paper. Copyright © 2016 Elsevier Ltd. All rights reserved.

  12. 34 CFR 303.164 - Public awareness program.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Requirements § 303.164 Public awareness program. Each application must include information and assurances demonstrating to the satisfaction of the Secretary that the State has established a public awareness program... 34 Education 2 2010-07-01 2010-07-01 false Public awareness program. 303.164 Section 303.164...

  13. Oscillations in epidemic models with spread of awareness.

    PubMed

    Just, Winfried; Saldaña, Joan; Xin, Ying

    2018-03-01

    We study ODE models of epidemic spreading with a preventive behavioral response that is triggered by awareness of the infection. Previous studies of such models have mostly focused on the impact of the response on the initial growth of an outbreak and the existence and location of endemic equilibria. Here we study the question whether this type of response is sufficient to prevent future flare-ups from low endemic levels if awareness is assumed to decay over time. In the ODE context, such flare-ups would translate into sustained oscillations with significant amplitudes. Our results show that such oscillations are ruled out in Susceptible-Aware-Infectious-Susceptible models with a single compartment of aware hosts, but can occur if we consider two distinct compartments of aware hosts who differ in their willingness to alert other susceptible hosts.

  14. Awareness and Use of Folic Acid among Women in the Lower Mississippi Delta

    ERIC Educational Resources Information Center

    Robbins, James M.; Hopkins, Sarah E.; Mosley, Bridget S.; Casey, Patrick H.; Cleves, Mario A.; Hobbs, Charlotte A.

    2006-01-01

    Context: National and state efforts to increase folic acid awareness and use may not be reaching large segments of the population. Purpose: This study examines folic acid awareness and use among women of childbearing age in a representative, economically at-risk rural sample and identifies factors that influence awareness and use. Methods: A…

  15. Enriching Mental Health Mobile Assessment and Intervention with Situation Awareness.

    PubMed

    Soares Teles, Ariel; Rocha, Artur; José da Silva E Silva, Francisco; Correia Lopes, João; O'Sullivan, Donal; Van de Ven, Pepijn; Endler, Markus

    2017-01-10

    Current mobile devices allow the execution of sophisticated applications with the capacity for identifying the user situation, which can be helpful in treatments of mental disorders. In this paper, we present SituMan , a solution that provides situation awareness to MoodBuster , an ecological momentary assessment and intervention mobile application used to request self-assessments from patients in depression treatments. SituMan has a fuzzy inference engine to identify patient situations using context data gathered from the sensors embedded in mobile devices. Situations are specified jointly by the patient and mental health professional, and they can represent the patient's daily routine (e.g., "studying", "at work", "working out"). MoodBuster requests mental status self-assessments from patients at adequate moments using situation awareness. In addition, SituMan saves and displays patient situations in a summary, delivering them for consultation by mental health professionals. A first experimental evaluation was performed to assess the user satisfaction with the approaches to define and identify situations. This experiment showed that SituMan was well evaluated in both criteria. A second experiment was performed to assess the accuracy of the fuzzy engine to infer situations. Results from the second experiment showed that the fuzzy inference engine has a good accuracy to identify situations.

  16. Situation awareness - A critical but ill-defined phenomenon

    NASA Technical Reports Server (NTRS)

    Sarter, Nadine B.; Woods, David D.

    1991-01-01

    The significance of the temporal dimension of situation awareness is examined. Its study requires the staging of complex dynamic situations and the development of less intrusive in-flight probing techniques to assess the pilot's ability to adequately and rapidly retrieve and integrate flight-related information. The cognitive basis of the concept is analyzed, embedding it in the context of related psychological concepts. Methodological approaches to the investigation of situation awareness are discussed on this basis.

  17. An ontology-based system for context-aware and configurable services to support home-based continuous care.

    PubMed

    Paganelli, Federica; Giuli, Dino

    2011-03-01

    Continuous care models for chronic diseases pose several technology-oriented challenges for home-based care, where assistance services rely on a close collaboration among different stakeholders, such as health operators, patient relatives, and social community members. This paper describes an ontology-based context model and a related context management system providing a configurable and extensible service-oriented framework to ease the development of applications for monitoring and handling patient chronic conditions. The system has been developed in a prototypal version, and integrated with a service platform for supporting operators of home-based care networks in cooperating and sharing patient-related information and coordinating mutual interventions for handling critical and alarm situations. Finally, we discuss experimentation results and possible further research directions.

  18. Scientist-Centered Workflow Abstractions via Generic Actors, Workflow Templates, and Context-Awareness for Groundwater Modeling and Analysis

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Chin, George; Sivaramakrishnan, Chandrika; Critchlow, Terence J.

    2011-07-04

    A drawback of existing scientific workflow systems is the lack of support to domain scientists in designing and executing their own scientific workflows. Many domain scientists avoid developing and using workflows because the basic objects of workflows are too low-level and high-level tools and mechanisms to aid in workflow construction and use are largely unavailable. In our research, we are prototyping higher-level abstractions and tools to better support scientists in their workflow activities. Specifically, we are developing generic actors that provide abstract interfaces to specific functionality, workflow templates that encapsulate workflow and data patterns that can be reused and adaptedmore » by scientists, and context-awareness mechanisms to gather contextual information from the workflow environment on behalf of the scientist. To evaluate these scientist-centered abstractions on real problems, we apply them to construct and execute scientific workflows in the specific domain area of groundwater modeling and analysis.« less

  19. Never blame the umpire - a review of Situation Awareness models and methods for examining the performance of officials in sport.

    PubMed

    Neville, Timothy J; Salmon, Paul M

    2016-07-01

    As sport becomes more complex, there is potential for ergonomics concepts to help enhance the performance of sports officials. The concept of Situation Awareness (SA) appears pertinent given the requirement for officials to understand what is going on in order to make decisions. Although numerous models exist, none have been applied to examine officials, and only several recent examples have been applied to sport. This paper examines SA models and methods to identify if any have applicability to officials in sport (OiS). Evaluation of the models and methods identified potential applications of individual, team and systems models of SA. The paper further demonstrates that the Distributed Situation Awareness model is suitable for studying officials in fastball sports. It is concluded that the study of SA represents a key area of multidisciplinary research for both ergonomics and sports science in the context of OiS. Practitioner Summary: Despite obvious synergies, applications of cognitive ergonomics concepts in sport are sparse. This is especially so for Officials in Sport (OiS). This article presents an evaluation of Situation Awareness models and methods, providing practitioners with guidance on which are the most suitable for OiS system design and evaluation.

  20. Knowledge-based public health situation awareness

    NASA Astrophysics Data System (ADS)

    Mirhaji, Parsa; Zhang, Jiajie; Srinivasan, Arunkumar; Richesson, Rachel L.; Smith, Jack W.

    2004-09-01

    There have been numerous efforts to create comprehensive databases from multiple sources to monitor the dynamics of public health and most specifically to detect the potential threats of bioterrorism before widespread dissemination. But there are not many evidences for the assertion that these systems are timely and dependable, or can reliably identify man made from natural incident. One must evaluate the value of so called 'syndromic surveillance systems' along with the costs involved in design, development, implementation and maintenance of such systems and the costs involved in investigation of the inevitable false alarms1. In this article we will introduce a new perspective to the problem domain with a shift in paradigm from 'surveillance' toward 'awareness'. As we conceptualize a rather different approach to tackle the problem, we will introduce a different methodology in application of information science, computer science, cognitive science and human-computer interaction concepts in design and development of so called 'public health situation awareness systems'. We will share some of our design and implementation concepts for the prototype system that is under development in the Center for Biosecurity and Public Health Informatics Research, in the University of Texas Health Science Center at Houston. The system is based on a knowledgebase containing ontologies with different layers of abstraction, from multiple domains, that provide the context for information integration, knowledge discovery, interactive data mining, information visualization, information sharing and communications. The modular design of the knowledgebase and its knowledge representation formalism enables incremental evolution of the system from a partial system to a comprehensive knowledgebase of 'public health situation awareness' as it acquires new knowledge through interactions with domain experts or automatic discovery of new knowledge.

  1. Metacognitive Awareness of EFL Student Writers in a Chinese ELT Context

    ERIC Educational Resources Information Center

    Ruan, Zhoulin

    2014-01-01

    This paper reports on an investigation into metacognitive awareness of Chinese English as a foreign language (EFL) student writers, under a threefold metacognition framework--person, task, and strategy variables, and within the broader domain of cognitive writing theories. Data were collected in a Chinese tertiary English language teaching (ELT)…

  2. Awareness and Monitoring in Outdoor Marine Education

    ERIC Educational Resources Information Center

    Stepath, Carl

    2004-01-01

    Background: This paper examines learning relationships associated with awareness, attitude and participatory action skills in the context of community education programs concerning the marine environment. Purpose: An investigation of the relationship of experiential marine education to environmental knowledge, attitudes and responsible ecological…

  3. Context management platform for tourism applications.

    PubMed

    Buján, David; Martín, David; Torices, Ortzi; López-de-Ipiña, Diego; Lamsfus, Carlos; Abaitua, Joseba; Alzua-Sorzabal, Aurkene

    2013-06-24

    The notion of context has been widely studied and there are several authors that have proposed different definitions of context. However, context has not been widely studied in the framework of human mobility and the notion of context has been imported directly from other computing fields without specifically addressing the tourism domain requirements. In order to store and manage context information a context data model and a context management platform are needed. Ontologies have been widely used in context modelling, but many of them are designed to be applied in general ubiquitous computing environments, do not contain specific concepts related to the tourism domain or some approaches do not contain enough concepts to represent context information related to the visitor on the move. That is why we propose a new approach to provide a better solution to model context data in tourism environments, adding more value to our solution reusing data about tourist resources from an Open Data repository and publishing it as Linked Data. We also propose the architecture for a context information management platform based on this context data model.

  4. Cognitive effort is modulated outside of the explicit awareness of conflict frequency: Evidence from pupillometry.

    PubMed

    Diede, Nathaniel T; Bugg, Julie M

    2017-05-01

    Classic theories of cognitive control conceptualized controlled processes as slow, strategic, and willful, with automatic processes being fast and effortless. The context-specific proportion compatibility (CSPC) effect, the reduction in the compatibility effect in a context (e.g., location) associated with a high relative to low likelihood of conflict, challenged classic theories by demonstrating fast and flexible control that appears to operate outside of conscious awareness. Two theoretical questions yet to be addressed are whether the CSPC effect is accompanied by context-dependent variation in effort, and whether the exertion of effort depends on explicit awareness of context-specific task demands. To address these questions, pupil diameter was measured during a CSPC paradigm. Stimuli were randomly presented in either a mostly compatible location or a mostly incompatible location. Replicating prior research, the CSPC effect was found. The novel finding was that pupil diameter was greater in the mostly incompatible location compared to the mostly compatible location, despite participants' lack of awareness of context-specific task demands. Additionally, this difference occurred regardless of trial type or a preceding switch in location. These patterns support the view that context (location) dictates selection of optimal attentional settings in the CSPC paradigm, and varying levels of effort and performance accompany these settings. Theoretically, these patterns imply that cognitive control may operate fast, flexibly, and outside of awareness, but not effortlessly. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

  5. Context Management Platform for Tourism Applications

    PubMed Central

    Buján, David; Martín, David; Torices, Ortzi; López-de-Ipiña, Diego; Lamsfus, Carlos; Abaitua, Joseba; Alzua-Sorzabal, Aurkene

    2013-01-01

    The notion of context has been widely studied and there are several authors that have proposed different definitions of context. However, context has not been widely studied in the framework of human mobility and the notion of context has been imported directly from other computing fields without specifically addressing the tourism domain requirements. In order to store and manage context information a context data model and a context management platform are needed. Ontologies have been widely used in context modelling, but many of them are designed to be applied in general ubiquitous computing environments, do not contain specific concepts related to the tourism domain or some approaches do not contain enough concepts to represent context information related to the visitor on the move. That is why we propose a new approach to provide a better solution to model context data in tourism environments, adding more value to our solution reusing data about tourist resources from an Open Data repository and publishing it as Linked Data. We also propose the architecture for a context information management platform based on this context data model. PMID:23797739

  6. Awareness and Misconceptions of High School Students about Renewable Energy Resources and Applications: Turkey Case

    ERIC Educational Resources Information Center

    Tortop, Hasan Said

    2012-01-01

    Turkey is the one of the countries in the world which has potential of renewable energy resource because of its geographical position. However, being usage of renewable energy resources and applications (RERAs) is low, it shows that awareness and consciousness of RERAs is very low too. Education must play a key role in growing out of an energy…

  7. Evolutionary awareness.

    PubMed

    Gorelik, Gregory; Shackelford, Todd K

    2014-08-27

    In this article, we advance the concept of "evolutionary awareness," a metacognitive framework that examines human thought and emotion from a naturalistic, evolutionary perspective. We begin by discussing the evolution and current functioning of the moral foundations on which our framework rests. Next, we discuss the possible applications of such an evolutionarily-informed ethical framework to several domains of human behavior, namely: sexual maturation, mate attraction, intrasexual competition, culture, and the separation between various academic disciplines. Finally, we discuss ways in which an evolutionary awareness can inform our cross-generational activities-which we refer to as "intergenerational extended phenotypes"-by helping us to construct a better future for ourselves, for other sentient beings, and for our environment.

  8. Fostering Career Awareness in Elementary Schools: Evaluation of an Intervention Proposal.

    PubMed

    Carvalho, Renato Gomes; Pocinho, Margarida; Fernandes, Débora

    2018-05-17

    Research literature has been increasingly focusing on children's career development, especially when school contexts are considered. In the present study, we evaluate the efficacy of a short-term intervention program designed to foster career awareness in elementary school. The sample consisted of 155 Portuguese fifth- and sixth-grade students, aged nine to fifteen years old (M = 11, SD = 1). With a quasi-experimental design, the sample was divided into two groups, namely, the participants in the program and the controls. We used the Career Awareness Scale for Children and a sociodemographic survey. Analyses of covariance indicated a moderate effect of the participation in the program in students' career awareness (ηp2 = .06, p = .003). The results are discussed considering the school as a key context for career education aiming at promoting students' adaptability and involvement in the construction of their life pathways.

  9. Enriching Mental Health Mobile Assessment and Intervention with Situation Awareness

    PubMed Central

    Soares Teles, Ariel; Rocha, Artur; José da Silva e Silva, Francisco; Correia Lopes, João; O’Sullivan, Donal; Van de Ven, Pepijn; Endler, Markus

    2017-01-01

    Current mobile devices allow the execution of sophisticated applications with the capacity for identifying the user situation, which can be helpful in treatments of mental disorders. In this paper, we present SituMan, a solution that provides situation awareness to MoodBuster, an ecological momentary assessment and intervention mobile application used to request self-assessments from patients in depression treatments. SituMan has a fuzzy inference engine to identify patient situations using context data gathered from the sensors embedded in mobile devices. Situations are specified jointly by the patient and mental health professional, and they can represent the patient’s daily routine (e.g., “studying”, “at work”, “working out”). MoodBuster requests mental status self-assessments from patients at adequate moments using situation awareness. In addition, SituMan saves and displays patient situations in a summary, delivering them for consultation by mental health professionals. A first experimental evaluation was performed to assess the user satisfaction with the approaches to define and identify situations. This experiment showed that SituMan was well evaluated in both criteria. A second experiment was performed to assess the accuracy of the fuzzy engine to infer situations. Results from the second experiment showed that the fuzzy inference engine has a good accuracy to identify situations. PMID:28075417

  10. Reversible polymorphism-aware phylogenetic models and their application to tree inference.

    PubMed

    Schrempf, Dominik; Minh, Bui Quang; De Maio, Nicola; von Haeseler, Arndt; Kosiol, Carolin

    2016-10-21

    We present a reversible Polymorphism-Aware Phylogenetic Model (revPoMo) for species tree estimation from genome-wide data. revPoMo enables the reconstruction of large scale species trees for many within-species samples. It expands the alphabet of DNA substitution models to include polymorphic states, thereby, naturally accounting for incomplete lineage sorting. We implemented revPoMo in the maximum likelihood software IQ-TREE. A simulation study and an application to great apes data show that the runtimes of our approach and standard substitution models are comparable but that revPoMo has much better accuracy in estimating trees, divergence times and mutation rates. The advantage of revPoMo is that an increase of sample size per species improves estimations but does not increase runtime. Therefore, revPoMo is a valuable tool with several applications, from speciation dating to species tree reconstruction. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

  11. Analysis of Means for Building Context-Aware Recommendation System for Mobile Learning

    ERIC Educational Resources Information Center

    Shcherbachenko, Larysa; Nowakowski, Samuel

    2017-01-01

    One of the rapidly developing tools for online learning is learning through a mobile environment. Therefore, developing and improving mobile learning environments is an active topic now. One of the ways to adapt the learning environment to the user's needs is to use his context. Context of the user consists of the current context in online…

  12. Traffic sign recognition based on a context-aware scale-invariant feature transform approach

    NASA Astrophysics Data System (ADS)

    Yuan, Xue; Hao, Xiaoli; Chen, Houjin; Wei, Xueye

    2013-10-01

    A new context-aware scale-invariant feature transform (CASIFT) approach is proposed, which is designed for the use in traffic sign recognition (TSR) systems. The following issues remain in previous works in which SIFT is used for matching or recognition: (1) SIFT is unable to provide color information; (2) SIFT only focuses on local features while ignoring the distribution of global shapes; (3) the template with the maximum number of matching points selected as the final result is instable, especially for images with simple patterns; and (4) SIFT is liable to result in errors when different images share the same local features. In order to resolve these problems, a new CASIFT approach is proposed. The contributions of the work are as follows: (1) color angular patterns are used to provide the color distinguishing information; (2) a CASIFT which effectively combines local and global information is proposed; and (3) a method for computing the similarity between two images is proposed, which focuses on the distribution of the matching points, rather than using the traditional SIFT approach of selecting the template with maximum number of matching points as the final result. The proposed approach is particularly effective in dealing with traffic signs which have rich colors and varied global shape distribution. Experiments are performed to validate the effectiveness of the proposed approach in TSR systems, and the experimental results are satisfying even for images containing traffic signs that have been rotated, damaged, altered in color, have undergone affine transformations, or images which were photographed under different weather or illumination conditions.

  13. Teacher Language Awareness in Supervisory Feedback Cycles

    ERIC Educational Resources Information Center

    Lindahl, Kristen; Baecher, Laura

    2016-01-01

    This study investigates pre- and post-observation feedback provided to TESOL teacher candidates who are preparing to work in content-based instruction/content and language integrated learning contexts, extending the conceptualization of teacher language awareness (TLA) to candidate supervision. It examines the extent to which TLA is manifested by…

  14. Achieving Optimal Privacy in Trust-Aware Social Recommender Systems

    NASA Astrophysics Data System (ADS)

    Dokoohaki, Nima; Kaleli, Cihan; Polat, Huseyin; Matskin, Mihhail

    Collaborative filtering (CF) recommenders are subject to numerous shortcomings such as centralized processing, vulnerability to shilling attacks, and most important of all privacy. To overcome these obstacles, researchers proposed for utilization of interpersonal trust between users, to alleviate many of these crucial shortcomings. Till now, attention has been mainly paid to strong points about trust-aware recommenders such as alleviating profile sparsity or calculation cost efficiency, while least attention has been paid on investigating the notion of privacy surrounding the disclosure of individual ratings and most importantly protection of trust computation across social networks forming the backbone of these systems. To contribute to addressing problem of privacy in trust-aware recommenders, within this paper, first we introduce a framework for enabling privacy-preserving trust-aware recommendation generation. While trust mechanism aims at elevating recommender's accuracy, to preserve privacy, accuracy of the system needs to be decreased. Since within this context, privacy and accuracy are conflicting goals we show that a Pareto set can be found as an optimal setting for both privacy-preserving and trust-enabling mechanisms. We show that this Pareto set, when used as the configuration for measuring the accuracy of base collaborative filtering engine, yields an optimized tradeoff between conflicting goals of privacy and accuracy. We prove this concept along with applicability of our framework by experimenting with accuracy and privacy factors, and we show through experiment how such optimal set can be inferred.

  15. Human Behavior Analysis by Means of Multimodal Context Mining

    PubMed Central

    Banos, Oresti; Villalonga, Claudia; Bang, Jaehun; Hur, Taeho; Kang, Donguk; Park, Sangbeom; Huynh-The, Thien; Le-Ba, Vui; Amin, Muhammad Bilal; Razzaq, Muhammad Asif; Khan, Wahajat Ali; Hong, Choong Seon; Lee, Sungyoung

    2016-01-01

    There is sufficient evidence proving the impact that negative lifestyle choices have on people’s health and wellness. Changing unhealthy behaviours requires raising people’s self-awareness and also providing healthcare experts with a thorough and continuous description of the user’s conduct. Several monitoring techniques have been proposed in the past to track users’ behaviour; however, these approaches are either subjective and prone to misreporting, such as questionnaires, or only focus on a specific component of context, such as activity counters. This work presents an innovative multimodal context mining framework to inspect and infer human behaviour in a more holistic fashion. The proposed approach extends beyond the state-of-the-art, since it not only explores a sole type of context, but also combines diverse levels of context in an integral manner. Namely, low-level contexts, including activities, emotions and locations, are identified from heterogeneous sensory data through machine learning techniques. Low-level contexts are combined using ontological mechanisms to derive a more abstract representation of the user’s context, here referred to as high-level context. An initial implementation of the proposed framework supporting real-time context identification is also presented. The developed system is evaluated for various realistic scenarios making use of a novel multimodal context open dataset and data on-the-go, demonstrating prominent context-aware capabilities at both low and high levels. PMID:27517928

  16. Human Behavior Analysis by Means of Multimodal Context Mining.

    PubMed

    Banos, Oresti; Villalonga, Claudia; Bang, Jaehun; Hur, Taeho; Kang, Donguk; Park, Sangbeom; Huynh-The, Thien; Le-Ba, Vui; Amin, Muhammad Bilal; Razzaq, Muhammad Asif; Khan, Wahajat Ali; Hong, Choong Seon; Lee, Sungyoung

    2016-08-10

    There is sufficient evidence proving the impact that negative lifestyle choices have on people's health and wellness. Changing unhealthy behaviours requires raising people's self-awareness and also providing healthcare experts with a thorough and continuous description of the user's conduct. Several monitoring techniques have been proposed in the past to track users' behaviour; however, these approaches are either subjective and prone to misreporting, such as questionnaires, or only focus on a specific component of context, such as activity counters. This work presents an innovative multimodal context mining framework to inspect and infer human behaviour in a more holistic fashion. The proposed approach extends beyond the state-of-the-art, since it not only explores a sole type of context, but also combines diverse levels of context in an integral manner. Namely, low-level contexts, including activities, emotions and locations, are identified from heterogeneous sensory data through machine learning techniques. Low-level contexts are combined using ontological mechanisms to derive a more abstract representation of the user's context, here referred to as high-level context. An initial implementation of the proposed framework supporting real-time context identification is also presented. The developed system is evaluated for various realistic scenarios making use of a novel multimodal context open dataset and data on-the-go, demonstrating prominent context-aware capabilities at both low and high levels.

  17. Design and technical evaluation of an enhanced location-awareness service enabler for spatial disorientation management of elderly with mild cognitive impairment.

    PubMed

    Moreno, Pedro A; Hernando, M Elena; Gómez, Enrique J

    2015-01-01

    The progressive ageing of population has turned the mild cognitive impairment (MCI) into a prevalent disease suffered by elderly. Consequently, the spatial disorientation has become a significant problem for older people and their caregivers. The ambient-assisted living applications are offering location-based services for empowering elderly to go outside and encouraging a greater independence. Therefore, this paper describes the design and technical evaluation of a location-awareness service enabler aimed at supporting and managing probable wandering situations of a person with MCI. Through the presence capabilities of the IP multimedia subsystem (IMS) architecture, the service will alert patient's contacts if a hazardous situation is detected depending on his location. Furthermore, information about the older person's security areas has been included in the user profile managed by IMS. In doing so, the service enabler introduced contribute to "context-awareness" paradigm allowing the adaptation and personalization of services depending on user's context and specific conditions or preferences.

  18. Adaptive Multimedia Content Delivery for Context-Aware U-Learning

    ERIC Educational Resources Information Center

    Zhao, Xinyou; Okamoto, Toshio

    2011-01-01

    Empowered by mobile computing, teachers and students can benefit from computing in more scenarios beyond the traditional computer classroom. But because of the much diversity of device specification, learning contents and mobile context existing today, the learners get a bad learning experience (e.g. rich contents cannot be displayed correctly)…

  19. Gamifying Outdoor Social Inquiry Learning with Context-Aware Technology

    ERIC Educational Resources Information Center

    Jong, Morris Siu-Yung; Chan, Tom; Tam, Vincent; Hue, Ming-Tak

    2017-01-01

    Gamification is a strategy of using game mechanics and experience design to digitally engage people to achieve intended goals in non-game contexts. There has been increasing discussion among educators and researchers about harnessing the idea of gamification to enhance current learning and teaching practices in school education. This paper…

  20. Towards a social and context-aware multi-sensor fall detection and risk assessment platform.

    PubMed

    De Backere, F; Ongenae, F; Van den Abeele, F; Nelis, J; Bonte, P; Clement, E; Philpott, M; Hoebeke, J; Verstichel, S; Ackaert, A; De Turck, F

    2015-09-01

    For elderly people fall incidents are life-changing events that lead to degradation or even loss of autonomy. Current fall detection systems are not integrated and often associated with undetected falls and/or false alarms. In this paper, a social- and context-aware multi-sensor platform is presented, which integrates information gathered by a plethora of fall detection systems and sensors at the home of the elderly, by using a cloud-based solution, making use of an ontology. Within the ontology, both static and dynamic information is captured to model the situation of a specific patient and his/her (in)formal caregivers. This integrated contextual information allows to automatically and continuously assess the fall risk of the elderly, to more accurately detect falls and identify false alarms and to automatically notify the appropriate caregiver, e.g., based on location or their current task. The main advantage of the proposed platform is that multiple fall detection systems and sensors can be integrated, as they can be easily plugged in, this can be done based on the specific needs of the patient. The combination of several systems and sensors leads to a more reliable system, with better accuracy. The proof of concept was tested with the use of the visualizer, which enables a better way to analyze the data flow within the back-end and with the use of the portable testbed, which is equipped with several different sensors. Copyright © 2014 Elsevier Ltd. All rights reserved.

  1. Hybrid-Aware Model for Senior Wellness Service in Smart Home.

    PubMed

    Jung, Yuchae

    2017-05-22

    Smart home technology with situation-awareness is important for seniors to improve safety and security. With the development of context-aware computing, wearable sensor technology, and ubiquitous computing, it is easier for seniors to manage their health problem in smart home environment. For monitoring senior activity in smart home, wearable, and motion sensors-such as respiration rate (RR), electrocardiography (ECG), body temperature, and blood pressure (BP)-were used for monitoring movements of seniors. For context-awareness, environmental sensors-such as gas, fire, smoke, dust, temperature, and light sensors-were used for senior location data collection. Based on senior activity, senior health status can be classified into positive and negative. Based on senior location and time, senior safety is classified into safe and emergency. In this paper, we propose a hybrid inspection service middleware for monitoring elderly health risk based on senior activity and location. This hybrid-aware model for the detection of abnormal status of seniors has four steps as follows: (1) data collection from biosensors and environmental sensors; (2) monitoring senior location and time of stay in each location using environmental sensors; (3) monitoring senior activity using biometric data; finally, (4) expectation-maximization based decision-making step recommending proper treatment based on a senior health risk ratio.

  2. Hybrid-Aware Model for Senior Wellness Service in Smart Home

    PubMed Central

    Jung, Yuchae

    2017-01-01

    Smart home technology with situation-awareness is important for seniors to improve safety and security. With the development of context-aware computing, wearable sensor technology, and ubiquitous computing, it is easier for seniors to manage their health problem in smart home environment. For monitoring senior activity in smart home, wearable, and motion sensors—such as respiration rate (RR), electrocardiography (ECG), body temperature, and blood pressure (BP)—were used for monitoring movements of seniors. For context-awareness, environmental sensors—such as gas, fire, smoke, dust, temperature, and light sensors—were used for senior location data collection. Based on senior activity, senior health status can be classified into positive and negative. Based on senior location and time, senior safety is classified into safe and emergency. In this paper, we propose a hybrid inspection service middleware for monitoring elderly health risk based on senior activity and location. This hybrid-aware model for the detection of abnormal status of seniors has four steps as follows: (1) data collection from biosensors and environmental sensors; (2) monitoring senior location and time of stay in each location using environmental sensors; (3) monitoring senior activity using biometric data; finally, (4) expectation-maximization based decision-making step recommending proper treatment based on a senior health risk ratio. PMID:28531157

  3. Reflexivity, knowledge and ecological awareness: premises for responsible action in the hospital work environment.

    PubMed

    Camponogara, Silviamar; Ramos, Flávia Regina Sousa; Kirchhof, Ana Lucia Cardoso

    2009-01-01

    The article aims to analyze the interface of reflexivity, knowledge and ecologic awareness in the context of hospital work, based on data collected in a qualitative case study carried out at a public hospital. Field observation data and interviews are discussed in the light of sociologic and philosophic references. Workers expressed the interface between knowledge and action, in which there is a cycle of lack of knowledge, automatism in the actions and lack of environmental awareness, posing limits to individual awareness and to responsibility towards environmental preservation. Increased debate and education, including the environmental issue, are needed in the context of hospital work. Although hospital work is reflexively affected by the environmental problem, that does not guarantee the reorientation of practices and responsible action towards the environment.

  4. Mindfulness in cultural context.

    PubMed

    Kirmayer, Laurence J

    2015-08-01

    Mindfulness meditation and other techniques drawn from Buddhism have increasingly been integrated into forms of psychotherapeutic intervention. In much of this work, mindfulness is understood as a mode of awareness that is present-centered and nonevaluative. This form of awareness is assumed to have intrinsic value in promoting positive mental health and adaptation by interrupting discursive thoughts that give rise to suffering. However, in the societies where it originated, mindfulness meditation is part of a larger system of Buddhist belief and practice with strong ethical and moral dimensions. Extracting techniques like mindfulness meditation from the social contexts in which they originate may change the nature and effects of the practice. The papers in this issue of Transcultural Psychiatry explore the implications of a cultural and contextual view of mindfulness for continued dialogue between Buddhist thought and psychiatry. This introductory essay considers the meanings of mindfulness meditation in cultural context and the uses of mindfulness as a therapeutic intervention in contemporary psychiatry and psychology. © The Author(s) 2015.

  5. Situational awareness, relational coordination and integrated care delivery to hospitalized elderly in The Netherlands: a comparison between hospitals

    PubMed Central

    2014-01-01

    Background It is known that interprofessional collaboration is crucial for integrated care delivery, yet we are still unclear about the underlying mechanisms explaining effectiveness of integrated care delivery to older patients. In addition, we lack research comparing integrated care delivery between hospitals. Therefore, this study aims to (i) provide insight into the underlying components ‘relational coordination’ and ‘situational awareness’ of integrated care delivery and the role of team and organizational context in integrated care delivery; and (ii) compare situational awareness, relational coordination, and integrated care delivery of different hospitals in the Netherlands. Methods This cross-sectional study took place in 2012 among professionals from three different hospitals involved in the delivery of care to older patients. A total of 215 professionals filled in the questionnaire (42% response rate).Descriptive statistics and paired-sample t-tests were used to investigate the level of situational awareness, relational coordination, and integrated care delivery in the three different hospitals. Correlation and multilevel analyses were used to investigate the relationship between background characteristics, team context, organizational context, situational awareness, relational coordination and integrated care delivery. Results No differences in background characteristics, team context, organizational context, situational awareness, relational coordination and integrated care delivery were found among the three hospitals. Correlational analysis revealed that situational awareness (r = 0.30; p < 0.01), relational coordination (r = 0.17; p < 0.05), team climate (r = 0.29; p < 0.01), formal internal communication (r = 0.46; p < 0.01), and informal internal communication (r = 0.36; p < 0.01) were positively associated with integrated care delivery. Stepwise multilevel analyses showed that formal internal

  6. Exploring the Use of Multidimensional Analysis of Learner Language to Promote Register Awareness

    ERIC Educational Resources Information Center

    Aguado-Jimenez, Pilar; Perez-Paredes, Pascual; Sanchez, Purificacion

    2012-01-01

    This paper discusses the use of multidimensional analysis (MA) of learner language to promote the awareness of linguistic concepts such as register and variation. Our research explores the introduction of learner register awareness by using MA of learner language in the field of university Foreign Language Teaching (FLT). In this context, a group…

  7. Brief Report: Teachers' Awareness of the Relationship between Prior Knowledge and New Learning

    ERIC Educational Resources Information Center

    Journal for Research in Mathematics Education, 2016

    2016-01-01

    The author examined the degree to which experienced teachers are aware of the relationship between prior knowledge and new learning. Interviews with teachers revealed that they were explicitly aware of when students made connections between prior knowledge and new learning, when they applied their prior knowledge to new contexts, and when they…

  8. A clinical decision-making mechanism for context-aware and patient-specific remote monitoring systems using the correlations of multiple vital signs.

    PubMed

    Forkan, Abdur Rahim Mohammad; Khalil, Ibrahim

    2017-02-01

    In home-based context-aware monitoring patient's real-time data of multiple vital signs (e.g. heart rate, blood pressure) are continuously generated from wearable sensors. The changes in such vital parameters are highly correlated. They are also patient-centric and can be either recurrent or can fluctuate. The objective of this study is to develop an intelligent method for personalized monitoring and clinical decision support through early estimation of patient-specific vital sign values, and prediction of anomalies using the interrelation among multiple vital signs. In this paper, multi-label classification algorithms are applied in classifier design to forecast these values and related abnormalities. We proposed a completely new approach of patient-specific vital sign prediction system using their correlations. The developed technique can guide healthcare professionals to make accurate clinical decisions. Moreover, our model can support many patients with various clinical conditions concurrently by utilizing the power of cloud computing technology. The developed method also reduces the rate of false predictions in remote monitoring centres. In the experimental settings, the statistical features and correlations of six vital signs are formulated as multi-label classification problem. Eight multi-label classification algorithms along with three fundamental machine learning algorithms are used and tested on a public dataset of 85 patients. Different multi-label classification evaluation measures such as Hamming score, F1-micro average, and accuracy are used for interpreting the prediction performance of patient-specific situation classifications. We achieved 90-95% Hamming score values across 24 classifier combinations for 85 different patients used in our experiment. The results are compared with single-label classifiers and without considering the correlations among the vitals. The comparisons show that multi-label method is the best technique for this problem

  9. Triadic awareness predicts partner choice in male-infant-male interactions in Barbary macaques.

    PubMed

    Kubenova, Barbora; Konecna, Martina; Majolo, Bonaventura; Smilauer, Petr; Ostner, Julia; Schülke, Oliver

    2017-03-01

    Social knowledge beyond one's direct relationships is a key in successfully manoeuvring the social world. Individuals gather information on the quality of social relationships between their group companions, which has been termed triadic awareness. Evidence of the use of triadic awareness in natural contexts is limited mainly to conflict management. Here we investigated triadic awareness in wild Barbary macaques (Macaca sylvanus) in the context of bridging interactions defined as male-infant-male interactions whereby a male (initiator, holder) presents an infant to another male (receiver, non-holder) in order to initiate an affiliative interaction with that male. Analyses based on 1263 h of focal observations on ten infants of one wild social group in Morocco supported the hypothesis that males use their knowledge of the relationship between infants and other adult males when choosing a male as a partner for bridging interactions. Specifically, (i) the number of bridging interactions among holder-infant-receiver triads was positively affected by the strength of the infant-receiver relationship and (ii) when two males were available as bridging partners, a male was more likely to be chosen as the receiver the stronger his social relationship with the infant relative to the other available male. This demonstrates that non-human primates establish triadic awareness of temporary infant-male relationships and use it in a naturally occurring affiliative context. Our results contribute to the discussion about the mechanism underlying the acquisition of triadic awareness and the benefits of its usage, and lend support to hypotheses linking social complexity to the evolution of complex cognition.

  10. A survey on the awareness and attitude of pharmacists and doctors towards the application of pharmacogenomics and its challenges in Qatar.

    PubMed

    Elewa, Hazem; Alkhiyami, Dania; Alsahan, Dima; Abdel-Aziz, Ahmed

    2015-08-01

    Pharmacists are expected to play an important role in applying pharmacogenomics discoveries to patient care. Despite the increased attention to genetic research in Qatar, clinicians' attitudes towards the application of pharmacogenomics are not yet explored. The aim of this study was to assess the awareness and attitude of pharmacists compared with doctors towards pharmacogenomics and its implications by submitting an electronic-based survey to all pharmacists and doctors currently working in a large medical corporation in Qatar. A cross-sectional survey instrument was developed based on literature review. Eligible participants were pharmacists and doctors currently practicing in Hamad Medical Corporation hospitals in Qatar. The survey comprised questions on demographic and professional characteristics. It also evaluated the awareness, attitudes and challenges towards pharmacogenomics and its application. We collected 202 surveys, 108 (53.2%) of which were pharmacists and the remaining 94 (46.5%) were doctors. The overall participants' mean total awareness score percentage was low (39% ± 22) and there were no difference between the mean score achieved by pharmacists and doctors. Pharmacists had significantly more positive attitudes than doctors towards: (i) taking the responsibility of applying pharmacogenomics to drug therapy selection, dosing and monitoring; (ii) perceiving a positive role of pharmacogenomics testing on the control of drug expenditure; and (iii) their willingness to participate in pharmacogenomics-related training sessions. Both pharmacists and doctors perceived lack of knowledge and guidelines as major challenges towards the application of pharmacogenomics in Qatar. Despite doctors' and pharmacists' low level of awareness towards pharmacogenomics, they both have positive attitudes towards the clinical implications of pharmacogenomics. Pharmacists are more motivated to learn about pharmacogenomics and are more willing to take initiatives in

  11. Language Awareness as a Challenge for Business

    ERIC Educational Resources Information Center

    Hunerberg, Reinhard; Geile, Andrea

    2012-01-01

    The following contribution is a meta-analysis of the language awareness discipline from a practical application point of view. It is based on a keynote speech at the "10th International Conference of the Association for Language Awareness," and deals with the implications of business requirements for language use in communication processes. The…

  12. Overall Accuracy of Children's Awareness of Peer Perceptions.

    ERIC Educational Resources Information Center

    MacDonald, Christine D.

    Recent research has noted the importance of being able to correctly interpret social situations in order to respond appropriately in social interactions. This study examined whether social perception--accurate awareness of peers' perceptions--is a global trait or a context-specific ability. Specifically, the study examined individual differences…

  13. The educational and awareness purposes of the Paideia approach for heritage management

    NASA Astrophysics Data System (ADS)

    Carbone, F.; Oosterbeek, L.; Costa, C.

    2012-06-01

    The need to raise awareness among the communities about the challenge of resource use - and, more generally, about the principles of sustainability - is the reason why the United Nations General Assembly proclaimed, in December 2002, the United Nations Decade of Education for Sustainable Development, 2005-2014 (DESD). For operators and managers of cultural and natural heritage, it represents a profound challenge to their ability to transmit the content of scientific knowledge to the general public in order to empower everyone on the preservation of cultural and natural resources, and to raise awareness about the potential that mankind has at its disposal. In this context, the application of the PAIDEIA APPROACH for the management of cultural heritage is the key to the recovery of socio-economic values intrinsic to these resources. This approach to management is based on the enhancement of cultural (namely archaeological) and natural heritage for social benefit and it involves the tourist trade as a vehicle of knowledge transmission, intercultural dialogue and socio-economic sustainable development.

  14. Language Awareness Research: Where We Are Now

    ERIC Educational Resources Information Center

    Svalberg, Agneta M-L.

    2016-01-01

    This paper outlines the context in which Language Awareness (LA) research is currently situated and where it might be going. The starting point is Eric Hawkins's vision (40 years ago) of LA as a bridge between school subjects and, in wider society, between people of different backgrounds and languages. Although considerable progress has been made…

  15. Subspace-Aware Index Codes

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Kailkhura, Bhavya; Theagarajan, Lakshmi Narasimhan; Varshney, Pramod K.

    In this paper, we generalize the well-known index coding problem to exploit the structure in the source-data to improve system throughput. In many applications (e.g., multimedia), the data to be transmitted may lie (or can be well approximated) in a low-dimensional subspace. We exploit this low-dimensional structure of the data using an algebraic framework to solve the index coding problem (referred to as subspace-aware index coding) as opposed to the traditional index coding problem which is subspace-unaware. Also, we propose an efficient algorithm based on the alternating minimization approach to obtain near optimal index codes for both subspace-aware and -unawaremore » cases. In conclusion, our simulations indicate that under certain conditions, a significant throughput gain (about 90%) can be achieved by subspace-aware index codes over conventional subspace-unaware index codes.« less

  16. Subspace-Aware Index Codes

    DOE PAGES

    Kailkhura, Bhavya; Theagarajan, Lakshmi Narasimhan; Varshney, Pramod K.

    2017-04-12

    In this paper, we generalize the well-known index coding problem to exploit the structure in the source-data to improve system throughput. In many applications (e.g., multimedia), the data to be transmitted may lie (or can be well approximated) in a low-dimensional subspace. We exploit this low-dimensional structure of the data using an algebraic framework to solve the index coding problem (referred to as subspace-aware index coding) as opposed to the traditional index coding problem which is subspace-unaware. Also, we propose an efficient algorithm based on the alternating minimization approach to obtain near optimal index codes for both subspace-aware and -unawaremore » cases. In conclusion, our simulations indicate that under certain conditions, a significant throughput gain (about 90%) can be achieved by subspace-aware index codes over conventional subspace-unaware index codes.« less

  17. Challenges in Wireless System Integration as Enablers for Indoor Context Aware Environments

    PubMed Central

    Aguirre, Erik

    2017-01-01

    The advent of fully interactive environments within Smart Cities and Smart Regions requires the use of multiple wireless systems. In the case of user-device interaction, which finds multiple applications such as Ambient Assisted Living, Intelligent Transportation Systems or Smart Grids, among others, large amount of transceivers are employed in order to achieve anytime, anyplace and any device connectivity. The resulting combination of heterogeneous wireless network exhibits fundamental limitations derived from Coverage/Capacity relations, as a function of required Quality of Service parameters, required bit rate, energy restrictions and adaptive modulation and coding schemes. In this context, inherent transceiver density poses challenges in overall system operation, given by multiple node operation which increases overall interference levels. In this work, a deterministic based analysis applied to variable density wireless sensor network operation within complex indoor scenarios is presented, as a function of topological node distribution. The extensive analysis derives interference characterizations, both for conventional transceivers as well as wearables, which provide relevant information in terms of individual node configuration as well as complete network layout. PMID:28704963

  18. Context-aware mobile health monitoring: evaluation of different pattern recognition methods for classification of physical activity.

    PubMed

    Jatobá, Luciana C; Grossmann, Ulrich; Kunze, Chistophe; Ottenbacher, Jörg; Stork, Wilhelm

    2008-01-01

    There are various applications of physical activity monitoring for medical purposes, such as therapeutic rehabilitation, fitness enhancement or the use of physical activity as context information for evaluation of other vital data. Physical activity can be estimated using acceleration sensor-systems fixed on a person's body. By means of pattern recognition methods, it is possible to identify with certain accuracy which movement is being performed. This work presents a comparison of different methods for recognition of daily-life activities, which will serve as basis for the development of an online activity monitoring system.

  19. The Applicability of Course Experience Questionnaire for a Malaysian University Context

    ERIC Educational Resources Information Center

    Thien, Lei Mee; Ong, Mei Yean

    2016-01-01

    Purpose: The purpose of this study is to examine the applicability of Course Experience Questionnaire (CEQ) in a Malaysian university context. Design/methodology/approach: The CEQ was translated into Malay language using rigorous cross-cultural adaptation procedures. The Malay version CEQ was administered to 190 undergraduate students in one…

  20. A Death Awareness Workshop: Theory, Application, and Results.

    ERIC Educational Resources Information Center

    Whelan, W. Michael; Warren, William M.

    1980-01-01

    Describes an experimental death awareness workshop based on Kubler-Ross' theory. The effects of the workshop reveal cognitive and emotional changes indicating participants in the workshop to be moving towards an acceptance of death. (Author)

  1. A distributed reasoning engine ecosystem for semantic context-management in smart environments.

    PubMed

    Almeida, Aitor; López-de-Ipiña, Diego

    2012-01-01

    To be able to react adequately a smart environment must be aware of the context and its changes. Modeling the context allows applications to better understand it and to adapt to its changes. In order to do this an appropriate formal representation method is needed. Ontologies have proven themselves to be one of the best tools to do it. Semantic inference provides a powerful framework to reason over the context data. But there are some problems with this approach. The inference over semantic context information can be cumbersome when working with a large amount of data. This situation has become more common in modern smart environments where there are a lot sensors and devices available. In order to tackle this problem we have developed a mechanism to distribute the context reasoning problem into smaller parts in order to reduce the inference time. In this paper we describe a distributed peer-to-peer agent architecture of context consumers and context providers. We explain how this inference sharing process works, partitioning the context information according to the interests of the agents, location and a certainty factor. We also discuss the system architecture, analyzing the negotiation process between the agents. Finally we compare the distributed reasoning with the centralized one, analyzing in which situations is more suitable each approach.

  2. Team Awareness, Problem Drinking, and Drinking Climate: Workplace Social Health Promotion in a Policy Context

    PubMed Central

    Bennett, Joel B.; Patterson, Camille R.; Reynolds, G. Shawn; Wiitala, Wyndy L.; Lehman, Wayne E. K.

    2011-01-01

    Purpose (1) To determine the effectiveness of classroom health promotion/prevention training designed to improve work climate and alcohol outcomes; (2) to assess whether such training contributes to improvements in problem drinking beyond standard workplace alcohol policies. Design A cross-sectional survey assessed employee problem drinking across three time periods. This was followed by a prevention intervention study; work groups were randomly assigned to an 8-hour training course in workplace social health promotion (Team Awareness), a 4-hour informational training course, or a control group. Surveys were administered 2 to 4 weeks before and after training and 6 months after posttest. Setting and Subjects Employees were surveyed from work departments in a large municipality of 3000 workers at three points in time (year, sample, and response rates are shown): (1) 1992, n = 1081, 95%; (2) 1995, n = 856, 97%; and (3) 1999, n = 587, 73%. Employees in the 1999 survey were recruited from safety-sensitive departments and were randomly assigned to receive the psychosocial (n = 201), informational (n = 192), or control (n = 194) condition. Intervention The psychosocial program (Team Awareness) provided skills training in peer referral, team building, and stress management. Informational training used a didactic review of policy, employee assistance, and drug testing. Measures Self-reports measured alcohol use (frequency, drunkenness, hangovers, and problems) and work drinking climate (enabling, responsiveness, drinking norms, stigma, and drink with coworkers). Results Employees receiving Team Awareness reduced problem drinking from 20% to 11% and working with or missing work because of a hangover from 16% to 6%. Information-trained workers also reduced problem drinking from 18% to 10%. These rates of change contrast with changes in problem drinking seen from 1992 (24%) to 1999 (17%). Team Awareness improvements differed significantly from control subjects, which showed

  3. Team awareness, problem drinking, and drinking climate: workplace social health promotion in a policy context.

    PubMed

    Bennett, Joel B; Patterson, Camille R; Reynolds, G Shawn; Wiitala, Wyndy L; Lehman, Wayne E K

    2004-01-01

    (1) To determine the effectiveness of classroom health promotion/prevention training designed to improve work climate and alcohol outcomes; (2) to assess whether such training contributes to improvements in problem drinking beyond standard workplace alcohol policies. A cross-sectional survey assessed employee problem drinking across three time periods. This was followed by a prevention intervention study; work groups were randomly assigned to an 8-hour training course in workplace social health promotion (Team Awareness), a 4-hour informational training course, or a control group. Surveys were administered 2 to 4 weeks before and after training and 6 months after posttest. Employees were surveyed from work departments in a large municipality of 3000 workers at three points in time (year, sample, and response rates are shown): (1) 1992, n = 1081, 95%; (2) 1995, n = 856, 97%; and (3) 1999, n = 587, 73%. Employees in the 1999 survey were recruited from safety-sensitive departments and were randomly assigned to receive the psychosocial (n = 201), informational (n = 192), or control (n = 194) condition. The psychosocial program (Team Awareness) provided skills training in peer referral, team building, and stress management. Informational training used a didactic review of policy, employee assistance, and drug testing. Self-reports measured alcohol use (frequency, drunkenness, hangovers, and problems) and work drinking climate (enabling, responsiveness, drinking norms, stigma, and drink with co-workers). Employees receiving Team Awareness reduced problem drinking from 20% to 11% and working with or missing work because of a hangover from 16% to 6%. Information-trained workers also reduced problem drinking from 18% to 10%. These rates of change contrast with changes in problem drinking seen from 1992 (24%) to 1999 (17%). Team Awareness improvements differed significantly from control subjects, which showed no change at 13%. Employees receiving Team Awareness also showed

  4. A concept analysis of situational awareness in nursing.

    PubMed

    Fore, Amanda M; Sculli, Gary L

    2013-12-01

    This article reports an analysis of the concept of situational awareness in nursing. Situational awareness is a fundamental and well-understood concept used to maintain operational safety in high reliability organizations; however, it has not been studied in nursing. Nurses play a critical role in providing vigilance in health care and what they do or fail to do is directly related to patient outcomes. Multiple databases, including PubMed, CINAHL, JSTOR, and Google Scholar, were searched with the term, 'situational awareness'. The primary search, used to identify all uses of the concept, did not employ date criteria. A secondary search for articles measuring situational awareness as an independent or dependent variable was completed using 2009-2011 articles. Concept Analysis. The concept of situational awareness was examined using Walker and Avant's eight step method of analysis. Three defining attributes of situational awareness include perception, comprehension, and projection. Situational awareness is defined as the perception of the elements in the environment in a volume of time and space, the comprehension of their meaning and the projection of their status in the near future. Although situational awareness is related to other terms in nursing, there is increasing recognition that the concept, which is likely a consolidation of the related terms, has an impact on healthcare professionals. Failures in perception, comprehension, and/or projection can significantly reduce the accuracy and appropriateness of patient care decisions. Therefore, as a precursor to decision making, poor or inadequate levels of situational awareness present serious threats to patient safety. Situational awareness needs to be examined in a theoretical context, studied systematically and openly recognized as a key factor in the delivery of safe patient care. © 2013 John Wiley & Sons Ltd.

  5. Exchanging the Context between OGC Geospatial Web clients and GIS applications using Atom

    NASA Astrophysics Data System (ADS)

    Maso, Joan; Díaz, Paula; Riverola, Anna; Pons, Xavier

    2013-04-01

    Currently, the discovery and sharing of geospatial information over the web still presents difficulties. News distribution through website content was simplified by the use of Really Simple Syndication (RSS) and Atom syndication formats. This communication exposes an extension of Atom to redistribute references to geospatial information in a Spatial Data Infrastructure distributed environment. A geospatial client can save the status of an application that involves several OGC services of different kind and direct data and share this status with other users that need the same information and use different client vendor products in an interoperable way. The extensibility of the Atom format was essential to define a format that could be used in RSS enabled web browser, Mass Market map viewers and emerging geospatial enable integrated clients that support Open Geospatial Consortium (OGC) services. Since OWS Context has been designed as an Atom extension, it is possible to see the document in common places where Atom documents are valid. Internet web browsers are able to present the document as a list of items with title, abstract, time, description and downloading features. OWS Context uses GeoRSS so that, the document can be to be interpreted by both Google maps and Bing Maps as items that have the extent represented in a dynamic map. Another way to explode a OWS Context is to develop an XSLT to transform the Atom feed into an HTML5 document that shows the exact status of the client view window that saved the context document. To accomplish so, we use the width and height of the client window, and the extent of the view in world (geographic) coordinates in order to calculate the scale of the map. Then, we can mix elements in world coordinates (such as CF-NetCDF files or GML) with elements in pixel coordinates (such as WMS maps, WMTS tiles and direct SVG content). A smarter map browser application called MiraMon Map Browser is able to write a context document and read

  6. Content-based image exploitation for situational awareness

    NASA Astrophysics Data System (ADS)

    Gains, David

    2008-04-01

    Image exploitation is of increasing importance to the enterprise of building situational awareness from multi-source data. It involves image acquisition, identification of objects of interest in imagery, storage, search and retrieval of imagery, and the distribution of imagery over possibly bandwidth limited networks. This paper describes an image exploitation application that uses image content alone to detect objects of interest, and that automatically establishes and preserves spatial and temporal relationships between images, cameras and objects. The application features an intuitive user interface that exposes all images and information generated by the system to an operator thus facilitating the formation of situational awareness.

  7. Multimedia-assisted breathwalk-aware system.

    PubMed

    Yu, Meng-Chieh; Wu, Huan; Lee, Ming-Sui; Hung, Yi-Ping

    2012-12-01

    Breathwalk is a science of combining specific patterns of footsteps synchronized with the breathing. In this study, we developed a multimedia-assisted Breathwalk-aware system which detects user's walking and breathing conditions and provides appropriate multimedia guidance on the smartphone. Through the mobile device, the system enhances user's awareness of walking and breathing behaviors. As an example application in slow technology, the system could help meditator beginners learn "walking meditation," a type of meditation which aims to be as slow as possible in taking pace, to synchronize footstep with breathing, and to land every footstep with toes first. In the pilot study, we developed a walking-aware system and evaluated whether multimedia-assisted mechanism is capable of enhancing beginner's walking awareness while walking meditation. Experimental results show that it could effectively assist beginners in slowing down the walking speed and decreasing incorrect footsteps. In the second experiment, we evaluated the Breathwalk-aware system to find a better feedback mechanism for learning the techniques of Breathwalk while walking meditation. The experimental results show that the visual-auditory mechanism is a better multimedia-assisted mechanism while walking meditation than visual mechanism and auditory mechanism.

  8. Seniors: Current Events and Consumer Awareness. Final Report.

    ERIC Educational Resources Information Center

    Molek, Carol

    A project was conducted to design and implement a curriculum for older adults in the areas of consumer events and consumer awareness. The project aimed to improve the seniors' basic skills by providing relevant content in a basic education context. During the project a curriculum was developed and presented through workshops held in 2 senior…

  9. Telecollaboration and Sociopragmatic Awareness in the Foreign Language Classroom

    ERIC Educational Resources Information Center

    Martí, Natalia Morollón; Fernández, Susana S.

    2016-01-01

    This paper discusses the design and implementation of a pedagogical intervention aimed at raising sociopragmatic awareness in the context of Spanish as a foreign language in Denmark. The intervention consists of a blended-learning environment where the three main components are synchronous telecollaboration via Skype, reflection sessions in groups…

  10. Further Applications of Linguistics to Australian Aboriginal Contexts. Occasional Papers Number 8.

    ERIC Educational Resources Information Center

    McKay, G. R., Ed.; Sommer, B. A., Ed.

    These papers represent applications of linguistics in Australian Aboriginal contexts, not only from a language viewpoint, but encompassing the interactions of language, society, politics, and culture. They include: "Loanwords: Ours or Theirs?" (Velma J. Leeding); "We Spell It 'Gooniyandi'" (David Street and Topsy Chestnut);…

  11. Attention capture without awareness in a non-spatial selection task.

    PubMed

    Oriet, Chris; Pandey, Mamata; Kawahara, Jun-Ichiro

    2017-02-01

    Distractors presented prior to a critical target in a rapid sequence of visually-presented items induce a lag-dependent deficit in target identification, particularly when the distractor shares a task-relevant feature of the target. Presumably, such capture of central attention is important for bringing a target into awareness. The results of the present investigation suggest that greater capture of attention by a distractor is not accompanied by greater awareness of it. Moreover, awareness tends to be limited to superficial characteristics of the target such as colour. The findings are interpreted within the context of a model that assumes sudden increases in arousal trigger selection of information for consolidation in working memory. In this conceptualization, prolonged analysis of distractor items sharing task-relevant features leads to larger target identification deficits (i.e., greater capture) but no increase in awareness. Copyright © 2016 Elsevier Inc. All rights reserved.

  12. A Cockpit-Based Application for Traffic Aware Trajectory Optimization

    NASA Technical Reports Server (NTRS)

    Woods, Sharon E.; Vivona, Robert A.; Roscoe, David A.; LeFebvre, Brendan C.; Wing, David J.; Ballin, Mark G.

    2013-01-01

    The Traffic Aware Planner (TAP) is a cockpit-based advisory tool designed to be hosted on a Class 2 Electronic Flight Bag and developed to enable the concept of Traffic Aware Strategic Aircrew Requests (TASAR). This near-term concept provides pilots with optimized route changes that reduce fuel burn or flight time, avoids interactions with known traffic, weather and restricted airspace, and may be used by the pilots to request a trajectory change from air traffic control. TAP's internal architecture and algorithms are derived from the Autonomous Operations Planner, a flight-deck automation system developed by NASA to support research into aircraft self-separation. This paper reviews the architecture, functionality and operation of TAP.

  13. Does interoceptive awareness affect the ability to regulate unfair treatment by others?

    PubMed

    van 't Wout, Mascha; Faught, Sara; Menino, David

    2013-01-01

    In this study we aimed to investigate how awareness of bodily responses, referred to as interoceptive awareness, influences decision-making in a social interactive context. Interoceptive awareness is thought to be crucial for adequate regulation of one's emotions. However, there is a dearth of studies that examine the association between interoceptive awareness and the ability to regulate emotions during interpersonal decision-making. Here, we quantified interoceptive awareness with a heartbeat detection task in which we measured the difference between subjective self-reports and an objective psychophysiological measurement of participant heart rates. Social decision-making was quantified using a two-round Ultimatum Game. Participants were asked to first reject or accept an unfair division of money proposed by a partner. In turn, participants could then make an offer on how to divide an amount of money with the same partner. Participants performed 20 rounds of the two-round Ultimatum Game twice, once during baseline condition and once while asked to reappraise emotional reactions when confronted with unfair offers from partners. Results showed that after reappraisal participants (1) accepted more unfair offers and (2) offered higher return divisions, as compared to baseline. With respect to interoceptive awareness, participants with better heartbeat detection scores tended to report less emotional involvement when they applied reappraisal while playing the Ultimatum Game. However, there was no reliably significant relationship between heartbeat detection and the acceptance of unfair offers. Similarly, heartbeat detection accuracy was not related to return offers made in the second round of the Ultimatum Game or the habitual use of emotion regulation. These preliminary findings suggest that the relationship between interoceptive awareness and behavioral changes due to emotion regulation in a social decision-making context appears to be complex.

  14. Does interoceptive awareness affect the ability to regulate unfair treatment by others?

    PubMed Central

    van 't Wout, Mascha; Faught, Sara; Menino, David

    2013-01-01

    In this study we aimed to investigate how awareness of bodily responses, referred to as interoceptive awareness, influences decision-making in a social interactive context. Interoceptive awareness is thought to be crucial for adequate regulation of one’s emotions. However, there is a dearth of studies that examine the association between interoceptive awareness and the ability to regulate emotions during interpersonal decision-making. Here, we quantified interoceptive awareness with a heartbeat detection task in which we measured the difference between subjective self-reports and an objective psychophysiological measurement of participant heart rates. Social decision-making was quantified using a two-round Ultimatum Game. Participants were asked to first reject or accept an unfair division of money proposed by a partner. In turn, participants could then make an offer on how to divide an amount of money with the same partner. Participants performed 20 rounds of the two-round Ultimatum Game twice, once during baseline condition and once while asked to reappraise emotional reactions when confronted with unfair offers from partners. Results showed that after reappraisal participants (1) accepted more unfair offers and (2) offered higher return divisions, as compared to baseline. With respect to interoceptive awareness, participants with better heartbeat detection scores tended to report less emotional involvement when they applied reappraisal while playing the Ultimatum Game. However, there was no reliably significant relationship between heartbeat detection and the acceptance of unfair offers. Similarly, heartbeat detection accuracy was not related to return offers made in the second round of the Ultimatum Game or the habitual use of emotion regulation. These preliminary findings suggest that the relationship between interoceptive awareness and behavioral changes due to emotion regulation in a social decision-making context appears to be complex. PMID:24348438

  15. Objective Situation Awareness Measurement Based on Performance Self-Evaluation

    NASA Technical Reports Server (NTRS)

    DeMaio, Joe

    1998-01-01

    The research was conducted in support of the NASA Safe All-Weather Flight Operations for Rotorcraft (SAFOR) program. The purpose of the work was to investigate the utility of two measurement tools developed by the British Defense Evaluation Research Agency. These tools were a subjective workload assessment scale, the DRA Workload Scale and a situation awareness measurement tool. The situation awareness tool uses a comparison of the crew's self-evaluation of performance against actual performance in order to determine what information the crew attended to during the performance. These two measurement tools were evaluated in the context of a test of innovative approach to alerting the crew by way of a helmet mounted display. The situation assessment data are reported here. The performance self-evaluation metric of situation awareness was found to be highly effective. It was used to evaluate situation awareness on a tank reconnaissance task, a tactical navigation task, and a stylized task used to evaluated handling qualities. Using the self-evaluation metric, it was possible to evaluate situation awareness, without exact knowledge the relevant information in some cases and to identify information to which the crew attended or failed to attend in others.

  16. An appraisal of students' awareness of "self-reflection" in a first-year pathology course of undergraduate medical/dental education.

    PubMed

    Kanthan, Rani; Senger, Jenna-Lynn B

    2011-09-23

    Self-reflection and reflective practice are increasingly considered as essential attributes of competent professionals functioning in complex and ever-changing healthcare systems of the 21st century. The aim of this study was to determine the extent of students' awareness and understanding of the reflective process and the meaning of 'self-reflection' within the contextual framework of their learning environment in the first-year of their medical/dental education. We endorse that the introduction of such explicit educational tasks at this early stage enhances and promotes students' awareness, understanding, and proficiency of this skill in their continuing life-long health professional learning. Over two years, students registered in first-year pathology at the University of Saskatchewan were introduced to a self-reflection assignment which comprised in the submission of a one-page reflective document to a template of reflective questions provided in the given context of their learning environment. This was a mandatory but ungraded component at the midterm and final examinations. These documents were individually analyzed and thematically categorized to a "5 levels-of-reflection-awareness" scale using a specially-designed rubric based on the accepted major theories of reflection that included students' identification of: 1) personal abilities, 2) personal learning styles 3) relationships between course material and student history 4) emotional responses and 5) future applications. 410 self-reflection documents were analyzed. The student self-awareness on personal learning style (72.7% level 3+) and course content (55.2% level 3+) were well-reflected. Reflections at a level 1 awareness included identification of a) specific teaching strategies utilized to enhance learning (58.4%), b) personal strengths/weaknesses (53%), and c) emotional responses, values, and beliefs (71.5%). Students' abilities to connect information to life experiences and to future events with

  17. Rethinking the lecture: the application of problem based learning methods to atypical contexts.

    PubMed

    Rogal, Sonya M M; Snider, Paul D

    2008-05-01

    Problem based learning is a teaching and learning strategy that uses a problematic stimulus as a means of motivating and directing students to develop and acquire knowledge. Problem based learning is a strategy that is typically used with small groups attending a series of sessions. This article describes the principles of problem based learning and its application in atypical contexts; large groups attending discrete, stand-alone sessions. The principles of problem based learning are based on Socratic teaching, constructivism and group facilitation. To demonstrate the application of problem based learning in an atypical setting, this article focuses on the graduate nurse intake from a teaching hospital. The groups are relatively large and meet for single day sessions. The modified applications of problem based learning to meet the needs of atypical groups are described. This article contains a step by step guide of constructing a problem based learning package for large, single session groups. Nurse educators facing similar groups will find they can modify problem based learning to suit their teaching context.

  18. Situation awareness: when nurses decide to admit or not admit a person with mental illness as an involuntary patient.

    PubMed

    Patterson, Christopher; Procter, Nicholas; Toffoli, Luisa

    2016-09-01

    This paper will explore the application of situation awareness in nursing to determine its suitability as a framework to study how the decision to admit or not admit a person as an involuntary patient is made. The decision by a specially qualified nurse to admit or not admit a person to a mental health facility against their will remains a central component of contemporary mental health legislation. The decision has an impact on a person's autonomy and human rights. Conversely, the decision to admit may facilitate urgent assessment and treatment and ensure the safety of the individual and others. Research highlights that decision-making in this context is challenging due to the multiple information sources and often incomplete information available to the clinician. Situation awareness is a concept used to explain how practitioners identify, use and make meaning of a multitude of factors and elements relevant to their practice. Discussion paper. A search of terms related to situation awareness and mental health nursing was conducted in the period 2000 - present. Exploring nurses decision-making using a situation awareness framework provides for a more nuanced understanding of nurses knowledge and skill when deciding to admit or not a person as an involuntary patient. The concept of situation awareness provides a framework to better understand the decision-making process associated with the involuntary admission decision. © 2016 John Wiley & Sons Ltd.

  19. First-Year Teacher Knowledge of Phonemic Awareness and Its Instruction

    ERIC Educational Resources Information Center

    Cheesman, Elaine A.; McGuire, Joan M.; Shankweiler, Donald; Coyne, Michael

    2009-01-01

    Converging evidence has identified phonemic awareness (PA) as one of five essential components of beginning reading instruction. Evidence suggests that many teachers do not have the recommended knowledge or skills sufficient to provide effective PA instruction within the context of scientifically validated reading education. This study examines…

  20. A Standard-Based and Context-Aware Architecture for Personal Healthcare Smart Gateways.

    PubMed

    Santos, Danilo F S; Gorgônio, Kyller C; Perkusich, Angelo; Almeida, Hyggo O

    2016-10-01

    The rising availability of Personal Health Devices (PHDs) capable of Personal Network Area (PAN) communication and the desire of keeping a high quality of life are the ingredients of the Connected Health vision. In parallel, a growing number of personal and portable devices, like smartphones and tablet computers, are becoming capable of taking the role of health gateway, that is, a data collector for the sensor PHDs. However, as the number of PHDs increase, the number of other peripherals connected in PAN also increases. Therefore, PHDs are now competing for medium access with other devices, decreasing the Quality of Service (QoS) of health applications in the PAN. In this article we present a reference architecture to prioritize PHD connections based on their state and requirements, creating a healthcare Smart Gateway. Healthcare context information is extracted by observing the traffic through the gateway. A standard-based approach was used to identify health traffic based on ISO/IEEE 11073 family of standards. A reference implementation was developed showing the relevance of the problem and how the proposed architecture can assist in the prioritization. The reference Smart Gateway solution was integrated with a Connected Health System for the Internet of Things, validating its use in a real case scenario.

  1. High-frequency imaging radar for robotic navigation and situational awareness

    NASA Astrophysics Data System (ADS)

    Thomas, David J.; Luo, Changan; Knox, Robert

    2011-05-01

    With increasingly available high frequency radar components, the practicality of imaging radar for mobile robotic applications is now practical. Navigation, ODOA, situational awareness and safety applications can be supported in small light weight packaging. Radar has the additional advantage of being able sense through aerosols, smoke and dust that can be difficult for many optical systems. The ability to directly measure the range rate of an object is also an advantage in radar applications. This paper will explore the applicability of high frequency imaging radar for mobile robotics and examine a W-band 360 degree imaging radar prototype. Indoor and outdoor performance data will be analyzed and evaluated for applicability to navigation and situational awareness.

  2. Situation Awareness and Workload Measures for SAFOR

    NASA Technical Reports Server (NTRS)

    DeMaio, Joe; Hart, Sandra G.; Allen, Ed (Technical Monitor)

    1999-01-01

    The present research was conducted in support of the NASA Safe All-Weather Flight Operations for Rotorcraft (SAFOR) program. The purpose of the work was to investigate the utility of two measurement tools developed by the British Defense Evaluation Research Agency. These tools were a subjective workload assessment scale, the DRA Workload Scale (DRAWS), and a situation awareness measurement tool in which the crews self-evaluation of performance is compared against actual performance. These two measurement tools were evaluated in the context of a test of an innovative approach to alerting the crew by way of a helmet mounted display. The DRAWS was found to be usable, but it offered no advantages over extant scales, and it had only limited resolution. The performance self-evaluation metric of situation awareness was found to be highly effective.

  3. Symposium on Applications and the Internet (SAINT 2003) Proceedings (Orlando, Florida, January 27-31, 2003).

    ERIC Educational Resources Information Center

    Helal, Sumi, Ed.; Oie, Yuji, Ed.; Chang, Carl, Ed.; Murai, Jun, Ed.

    This proceedings from the 2003 Symposium on Applications and the Internet (SAINT) contains papers from sessions on: (1) mobile Internet, including a target-driven cache replacement policy, context-awareness for service discovery, and XML transformation; (2) collaboration technology I, including human-network-based filtering, virtual collaboration…

  4. "Community Aware" Education Policy: Enhancing Individual and Community Vitality

    ERIC Educational Resources Information Center

    Casto, Hope; McGrath, Brian; Sipple, John W.; Todd, Liz

    2016-01-01

    This paper advances the theoretical and applied connection between education policy and community development. We call this community-aware education policy, and it is based on Dean's (2012) conception of human need that is thick (i.e., accounts for a relational context), rather than relying solely on a thin conception (i.e., instrumental view…

  5. Usability of English Note-Taking Applications in a Foreign Language Learning Context

    ERIC Educational Resources Information Center

    Roy, Debopriyo; Brine, John; Murasawa, Fuyuki

    2016-01-01

    The act of note-taking offloads cognitive pressure and note-taking applications could be used as an important tool for foreign language acquisition. Its use, importance, and efficacy in a foreign language learning context could be justifiably debated. However, existing computer-assisted language learning literature is almost silent on the topic.…

  6. Awareness, adoption, and application of the Association of College & Research Libraries (ACRL) Framework for Information Literacy in health sciences libraries.

    PubMed

    Schulte, Stephanie J; Knapp, Maureen

    2017-10-01

    In early 2016, the Association of College & Research Libraries (ACRL) officially adopted a conceptual Framework for Information Literacy (Framework) that was a significant shift away from the previous standards-based approach. This study sought to determine (1) if health sciences librarians are aware of the recent Framework for Information Literacy; (2) if they have used the Framework to change their instruction or communication with faculty, and if so, what changes have taken place; and (3) if certain librarian characteristics are associated with the likelihood of adopting the Framework. This study utilized a descriptive electronic survey. Half of all respondents were aware of and were using or had plans to use the Framework. Academic health sciences librarians and general academic librarians were more likely than hospital librarians to be aware of the Framework. Those using the Framework were mostly revising and creating content, revising their teaching approach, and learning more about the Framework. Framework users commented that it was influencing how they thought about and discussed information literacy with faculty and students. Most hospital librarians and half the academic health sciences librarians were not using and had no plans to use the Framework. Librarians with more than twenty years of experience were less likely to be aware of the Framework and more likely to have no plans to use it. Common reasons for not using the Framework were lack of awareness of a new version and lack of involvement in formal instruction. The results suggest that there is room to improve awareness and application of the Framework among health sciences librarians.

  7. Acceptability of a text message-based fertility awareness application for family planning in Lucknow, India.

    PubMed

    Lerma, Klaira; Reyes, Griselda; Tiwari, Siddharth; Tewari, Akhilesh; Hastings, Charlotte; Blumenthal, Paul D

    2018-03-25

    To assess user satisfaction and acceptability toward a cell phone-based short message system (SMS) application for fertility awareness. Between July 1 and September 30, 2013, the present observational study recruited women of reproductive age who were presenting for family planning services in Lucknow, India, who were not pregnant, agreed to use the application, and understood basic English. The application collected information on an individual's menstrual cycle and, using the calendar days approach, predicted fertility. Based on an algorithm, the application sent a daily SMS text indicating the participant's fertility status. Participants completed an acceptability survey at the end of the 60-day pilot period. There were 21 participants enrolled. All reported that the application was highly acceptable, and found it to be private, secure, and convenient. All participants were interested in receiving future SMS reminders for tracking fertility. Most participants (20 [95%]) reported being likely or very likely to recommend the family planning application to friends. The application, with the aims of helping participants to identify their most fertile days once a month during ovulation and make informed decisions regarding fertility and contraception, was highly acceptable and might be useful in low-resource settings worldwide. Larger studies are needed for software optimization and determination of long-term effectiveness. © 2018 International Federation of Gynecology and Obstetrics.

  8. Gender Aware Therapy: Implications for Therapists and Male Clients.

    ERIC Educational Resources Information Center

    Good, Glenn E.; And Others

    Gender Aware Therapy (GAT) has developed in recent years to synthesize feminist theory and knowledge about gender into principles of therapy equally applicable to both men and women. This paper briefly examines the roots of Gender Aware Therapy and describes its principles: (1) conceptions of gender are seen as integral aspects of psychotherapy…

  9. AWARE-AWAreness during REsuscitation-a prospective study.

    PubMed

    Parnia, Sam; Spearpoint, Ken; de Vos, Gabriele; Fenwick, Peter; Goldberg, Diana; Yang, Jie; Zhu, Jiawen; Baker, Katie; Killingback, Hayley; McLean, Paula; Wood, Melanie; Zafari, A Maziar; Dickert, Neal; Beisteiner, Roland; Sterz, Fritz; Berger, Michael; Warlow, Celia; Bullock, Siobhan; Lovett, Salli; McPara, Russell Metcalfe Smith; Marti-Navarette, Sandra; Cushing, Pam; Wills, Paul; Harris, Kayla; Sutton, Jenny; Walmsley, Anthony; Deakin, Charles D; Little, Paul; Farber, Mark; Greyson, Bruce; Schoenfeld, Elinor R

    2014-12-01

    Cardiac arrest (CA) survivors experience cognitive deficits including post-traumatic stress disorder (PTSD). It is unclear whether these are related to cognitive/mental experiences and awareness during CPR. Despite anecdotal reports the broad range of cognitive/mental experiences and awareness associated with CPR has not been systematically studied. The incidence and validity of awareness together with the range, characteristics and themes relating to memories/cognitive processes during CA was investigated through a 4 year multi-center observational study using a three stage quantitative and qualitative interview system. The feasibility of objectively testing the accuracy of claims of visual and auditory awareness was examined using specific tests. The outcome measures were (1) awareness/memories during CA and (2) objective verification of claims of awareness using specific tests. Among 2060 CA events, 140 survivors completed stage 1 interviews, while 101 of 140 patients completed stage 2 interviews. 46% had memories with 7 major cognitive themes: fear; animals/plants; bright light; violence/persecution; deja-vu; family; recalling events post-CA and 9% had NDEs, while 2% described awareness with explicit recall of 'seeing' and 'hearing' actual events related to their resuscitation. One had a verifiable period of conscious awareness during which time cerebral function was not expected. CA survivors commonly experience a broad range of cognitive themes, with 2% exhibiting full awareness. This supports other recent studies that have indicated consciousness may be present despite clinically undetectable consciousness. This together with fearful experiences may contribute to PTSD and other cognitive deficits post CA. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

  10. Awareness and Knowledge of Ergonomics Among Medical Laboratory Scientists in Nigeria.

    PubMed

    Oladeinde, B H; Ekejindu, I M; Omoregie, R; Aguh, O D

    2015-01-01

    Ergonomics awareness helps in its right application and contributes significantly to general wellbeing and safety of worker at workplace. This cross-sectional descriptive study aimed at assessing the level of awareness and knowledge of the science of ergonomics among Medical Laboratory Scientists in Benin City, Nigeria. A total of 106 medical laboratory scientists comprising 64 and 42 in public and private laboratories, respectively, were recruited for this study using systematic random sampling technique. Data were obtained from the study participants using a questionnaire and subsequently analyzed with the statistical software INSTAT(®). Out of 106 study participants, 27 (25.5%) were reported to have heard of the term ergonomics. Awareness was significantly associated with gender (male vs. female: 38.5% [15/39] vs. 17.9% [12/67]; odds ratio = 2.9; 95% confidence interval = 1.2, 7.1;P = 0.02). Awareness of ergonomics was not significantly affected by affiliation (P = 0.18), area of specialization (P = 0.78), post-qualification experience (P = 0.43), and educational qualification (P = 0.23) of the study participants. Irrespective of the affiliation of the participant, only 6 of 27 (22.2%) participants who were aware of ergonomics knew at least a benefit of right application of ergonomics in the laboratory. Knowledge of risk factors for the development of musculoskeletal disorders was reported by 8 of 27 (29.6%) persons who claimed to be aware of ergonomics. Awareness of ergonomics and knowledge of gains of its right application was poor among the study participants. Regular ergonomic education of medical laboratory scientists in Nigeria is advocated.

  11. Multicore Architecture-aware Scientific Applications

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Srinivasa, Avinash

    Modern high performance systems are becoming increasingly complex and powerful due to advancements in processor and memory architecture. In order to keep up with this increasing complexity, applications have to be augmented with certain capabilities to fully exploit such systems. These may be at the application level, such as static or dynamic adaptations or at the system level, like having strategies in place to override some of the default operating system polices, the main objective being to improve computational performance of the application. The current work proposes two such capabilites with respect to multi-threaded scientific applications, in particular a largemore » scale physics application computing ab-initio nuclear structure. The first involves using a middleware tool to invoke dynamic adaptations in the application, so as to be able to adjust to the changing computational resource availability at run-time. The second involves a strategy for effective placement of data in main memory, to optimize memory access latencies and bandwidth. These capabilties when included were found to have a significant impact on the application performance, resulting in average speedups of as much as two to four times.« less

  12. The Awareness of Morphemic Knowledge for Young Adults' Vocabulary Learning

    ERIC Educational Resources Information Center

    Varatharajoo, Chandrakala; Asmawi, Adelina Binti; Abdallah, Nabeel; Abedalaziz, Mohammad

    2015-01-01

    The study explored the awareness of morphemic knowledge among young adult learners in the ESL context. Morphological Relatedness Test and Morphological Structure Test (adapted from Curinga, 2014) were two important tools used to assess the students' morphemic knowledge in this study. The tests measured the students' ability to reflect and…

  13. Improving situation awareness with the Android Team Awareness Kit (ATAK)

    NASA Astrophysics Data System (ADS)

    Usbeck, Kyle; Gillen, Matthew; Loyall, Joseph; Gronosky, Andrew; Sterling, Joshua; Kohler, Ralph; Hanlon, Kelly; Scally, Andrew; Newkirk, Richard; Canestrare, David

    2015-05-01

    To make appropriate, timely decisions in the field, Situational Awareness (SA) needs to be conveyed in a decentralized manner to the users at the edge of the network as well as at operations centers. Sharing real-time SA efficiently between command centers and operational troops poses many challenges, including handling heterogeneous and dynamic networks, resource constraints, and varying needs for the collection, dissemination, and display of information, as well as recording that information. A mapping application that allows teams to share relevant geospatial information efficiently and to communicate effectively with one another and command centers has wide applicability to many vertical markets across the Department of Defense, as well as a wide variety of federal, state local, and non-profit agencies that need to share locations, text, photos, and video. This paper describes the Android Team Awareness Kit (ATAK), an advanced, distributed tool for commercial- off-the-shelf (COTS) mobile devices such as smartphones and tablets. ATAK provides a variety of useful SA functions for soldiers, law enforcement, homeland defense, and civilian collaborative use; including mapping and navigation, range and bearing, text chat, force tracking, geospatial markup tools, image and file sharing, video playback, site surveys, and many others. This paper describes ATAK, the SA tools that ATAK has built-in, and the ways it is being used by a variety of military, homeland security, and law enforcement users.

  14. Developing Friendships and an Awareness of Emotions Using Video Games: Perceptions of Four Young Adults with Autism

    ERIC Educational Resources Information Center

    Gallup, Jennifer; Serianni, Barbara

    2017-01-01

    This article explores emotional expression and awareness in the context of a virtual environment specific to young adults with autism spectrum disorder (ASD) and how emotional awareness and expression can support postsecondary outcomes. A qualitative study was conducted with five young adults with ASD who actively played a massively multiplayer…

  15. A real-time architecture for time-aware agents.

    PubMed

    Prouskas, Konstantinos-Vassileios; Pitt, Jeremy V

    2004-06-01

    This paper describes the specification and implementation of a new three-layer time-aware agent architecture. This architecture is designed for applications and environments where societies of humans and agents play equally active roles, but interact and operate in completely different time frames. The architecture consists of three layers: the April real-time run-time (ART) layer, the time aware layer (TAL), and the application agents layer (AAL). The ART layer forms the underlying real-time agent platform. An original online, real-time, dynamic priority-based scheduling algorithm is described for scheduling the computation time of agent processes, and it is shown that the algorithm's O(n) complexity and scalable performance are sufficient for application in real-time domains. The TAL layer forms an abstraction layer through which human and agent interactions are temporally unified, that is, handled in a common way irrespective of their temporal representation and scale. A novel O(n2) interaction scheduling algorithm is described for predicting and guaranteeing interactions' initiation and completion times. The time-aware predicting component of a workflow management system is also presented as an instance of the AAL layer. The described time-aware architecture addresses two key challenges in enabling agents to be effectively configured and applied in environments where humans and agents play equally active roles. It provides flexibility and adaptability in its real-time mechanisms while placing them under direct agent control, and it temporally unifies human and agent interactions.

  16. Global trends in the awareness of sepsis: insights from search engine data between 2012 and 2017.

    PubMed

    Jabaley, Craig S; Blum, James M; Groff, Robert F; O'Reilly-Shah, Vikas N

    2018-01-17

    Sepsis is an established global health priority with high mortality that can be curtailed through early recognition and intervention; as such, efforts to raise awareness are potentially impactful and increasingly common. We sought to characterize trends in the awareness of sepsis by examining temporal, geographic, and other changes in search engine utilization for sepsis information-seeking online. Using time series analyses and mixed descriptive methods, we retrospectively analyzed publicly available global usage data reported by Google Trends (Google, Palo Alto, CA, USA) concerning web searches for the topic of sepsis between 24 June 2012 and 24 June 2017. Google Trends reports aggregated and de-identified usage data for its search products, including interest over time, interest by region, and details concerning the popularity of related queries where applicable. Outlying epochs of search activity were identified using autoregressive integrated moving average modeling with transfer functions. We then identified awareness campaigns and news media coverage that correlated with epochs of significantly heightened search activity. A second-order autoregressive model with transfer functions was specified following preliminary outlier analysis. Nineteen significant outlying epochs above the modeled baseline were identified in the final analysis that correlated with 14 awareness and news media events. Our model demonstrated that the baseline level of search activity increased in a nonlinear fashion. A recurrent cyclic increase in search volume beginning in 2012 was observed that correlates with World Sepsis Day. Numerous other awareness and media events were correlated with outlying epochs. The average worldwide search volume for sepsis was less than that of influenza, myocardial infarction, and stroke. Analyzing aggregate search engine utilization data has promise as a mechanism to measure the impact of awareness efforts. Heightened information-seeking about sepsis

  17. "Catch 22": Biosecurity awareness, interpretation and practice amongst poultry catchers.

    PubMed

    Millman, Caroline; Christley, Rob; Rigby, Dan; Dennis, Diana; O'Brien, Sarah J; Williams, Nicola

    2017-06-01

    Campylobacter contamination of chicken on sale in the UK remains at high levels and has a substantial public health impact. This has prompted the application of many interventions in the supply chain, including enhanced biosecurity measures on-farm. Catching and thinning are acknowledged as threats to the maintenance of good biosecurity, yet the people employed to undertake this critical work (i.e. 'catchers') are a rarely studied group. This study uses a mixed methods approach to investigate catchers' (n=53) understanding of the biosecurity threats posed by the catching and thinning, and the barriers to good biosecurity practice. It interrogated the role of training in both the awareness and practice of good biosecurity. Awareness of lapses in biosecurity was assessed using a Watch-&-Click hazard awareness survey (n=53). Qualitative interviews (n=49 catchers, 5 farm managers) explored the understanding, experience and practice of catching and biosecurity. All of the catchers who took part in the Watch-&-Click study identified at least one of the biosecurity threats with 40% detecting all of the hazards. Those who had undergone training were significantly more likely to identify specific biosecurity threats and have a higher awareness score overall (48% compared to 9%, p=0.03). Crucially, the individual and group interviews revealed the tensions between the high levels of biosecurity awareness evident from the survey and the reality of the routine practice of catching and thinning. Time pressures and a lack of equipment rather than a lack of knowledge appear a more fundamental cause of catcher-related biosecurity lapses. Our results reveal that catchers find themselves in a 'catch-22' situation in which mutually conflicting circumstances prevent simultaneous completion of their job and compliance with biosecurity standards. 3 Hence, although education about, and enforcement of, biosecurity protocols has been recommended, our findings suggest that further reforms

  18. Effects of customization on application decisions and applicant pool characteristics in a web-based recruitment context.

    PubMed

    Dineen, Brian R; Noe, Raymond A

    2009-01-01

    The authors examined 2 forms of customization in a Web-based recruitment context. Hypotheses were tested in a controlled study in which participants viewed multiple Web-based job postings that each included information about multiple fit categories. Results indicated that customization of information regarding person-organization (PO), needs-supplies, and demands-abilities (DA) fit (fit information customization) and customization of the order in which these fit categories were presented (configural customization) had differential effects on outcomes. Specifically, (a) applicant pool PO and DA fit were greater when fit information customization was provided, (b) applicant pool fit in high- versus low-relevance fit categories was better differentiated when configural customization was provided, and (c) overall application rates were lower when either or both forms of customization were provided. (PsycINFO Database Record (c) 2009 APA, all rights reserved).

  19. Therapeutic effectiveness of a virtual reality game in self-awareness after acquired brain injury.

    PubMed

    Lloréns, Roberto; Navarro, María Dolores; Alcañiz, Mariano; Noé, Enrique

    2012-01-01

    Self-awareness deficits can manifest as a consequence of acquired brain injury decreasing the motivation and the adherence to the treatment. We present a multitouch system that promotes the role-playing and the self-assessment strategies and challenges the participants in a competitive context. This paper presents an initial clinical trial to study the effectiveness of the virtual system in the rehabilitation of the self-awareness skills.According the evolution of the participants in the Self-Awareness Deficits Interview and in the Spanish Social Skills Scale, the participants improve the perception of their deficits and disabilities.

  20. Privacy-related context information for ubiquitous health.

    PubMed

    Seppälä, Antto; Nykänen, Pirkko; Ruotsalainen, Pekka

    2014-03-11

    Ubiquitous health has been defined as a dynamic network of interconnected systems. A system is composed of one or more information systems, their stakeholders, and the environment. These systems offer health services to individuals and thus implement ubiquitous computing. Privacy is the key challenge for ubiquitous health because of autonomous processing, rich contextual metadata, lack of predefined trust among participants, and the business objectives. Additionally, regulations and policies of stakeholders may be unknown to the individual. Context-sensitive privacy policies are needed to regulate information processing. Our goal was to analyze privacy-related context information and to define the corresponding components and their properties that support privacy management in ubiquitous health. These properties should describe the privacy issues of information processing. With components and their properties, individuals can define context-aware privacy policies and set their privacy preferences that can change in different information-processing situations. Scenarios and user stories are used to analyze typical activities in ubiquitous health to identify main actors, goals, tasks, and stakeholders. Context arises from an activity and, therefore, we can determine different situations, services, and systems to identify properties for privacy-related context information in information-processing situations. Privacy-related context information components are situation, environment, individual, information technology system, service, and stakeholder. Combining our analyses and previously identified characteristics of ubiquitous health, more detailed properties for the components are defined. Properties define explicitly what context information for different components is needed to create context-aware privacy policies that can control, limit, and constrain information processing. With properties, we can define, for example, how data can be processed or how components

  1. Sketching Awareness: A Participatory Study to Elicit Designs for Supporting Ad Hoc Emergency Medical Teamwork

    PubMed Central

    Kusunoki, Diana; Sarcevic, Aleksandra; Zhang, Zhan; Yala, Maria

    2014-01-01

    Prior CSCW research on awareness in clinical settings has mostly focused on higher-level team coordination spanning across longer-term trajectories at the department and inter-department levels. In this paper, we offer a perspective on what awareness means within the context of an ad hoc, time- and safety-critical medical setting by looking at teams treating severely ill patients with urgent needs. We report findings from four participatory design workshops conducted with emergency medicine clinicians at two regional emergency departments. Workshops were developed to elicit design ideas for information displays that support awareness in emergency medical situations. Through analysis of discussions and clinicians’ sketches of information displays, we identified five features of teamwork that can be used as a foundation for supporting awareness from the perspective of clinicians. Based on these findings, we contribute rich descriptions of four facets of awareness that teams manage during emergency medical situations: team member awareness, elapsed time awareness, teamwork-oriented and patient-driven task awareness, and overall progress awareness. We then discuss these four awareness types in relation to awareness facets found in the CSCW literature. PMID:25870498

  2. Cultural Awareness in Nuclear Security Programs: A Critical Link

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Nasser, Al-Sharif Nasser bin; Auda, Jasmine; Bachner, Katherine

    Nuclear security programs that offer training and capacity building opportunities to practitioners working in nuclear facilities play a central role in strengthening the global nuclear security architecture. There is often a significant divide, however, between both the development of these programs and their implementation, and between the programs’ intended and actual outcomes. This article argues that this disconnect can often be attributed to an absence of cultural awareness and an inability for internationally-designed programs to effectively resonate with local audiences. Furthermore, the importance of the role of cultural awareness in implementing nuclear security programs will be assessed, and its applicationsmore » in the Jordanian context will be presented.« less

  3. Cultural Awareness in Nuclear Security Programs: A Critical Link

    DOE PAGES

    Nasser, Al-Sharif Nasser bin; Auda, Jasmine; Bachner, Katherine

    2016-11-20

    Nuclear security programs that offer training and capacity building opportunities to practitioners working in nuclear facilities play a central role in strengthening the global nuclear security architecture. There is often a significant divide, however, between both the development of these programs and their implementation, and between the programs’ intended and actual outcomes. This article argues that this disconnect can often be attributed to an absence of cultural awareness and an inability for internationally-designed programs to effectively resonate with local audiences. Furthermore, the importance of the role of cultural awareness in implementing nuclear security programs will be assessed, and its applicationsmore » in the Jordanian context will be presented.« less

  4. Awareness, adoption, and application of the Association of College & Research Libraries (ACRL) Framework for Information Literacy in health sciences libraries*

    PubMed Central

    Schulte, Stephanie J.; Knapp, Maureen

    2017-01-01

    Objective: In early 2016, the Association of College & Research Libraries (ACRL) officially adopted a conceptual Framework for Information Literacy (Framework) that was a significant shift away from the previous standards-based approach. This study sought to determine (1) if health sciences librarians are aware of the recent Framework for Information Literacy; (2) if they have used the Framework to change their instruction or communication with faculty, and if so, what changes have taken place; and (3) if certain librarian characteristics are associated with the likelihood of adopting the Framework. Methods: This study utilized a descriptive electronic survey. Results: Half of all respondents were aware of and were using or had plans to use the Framework. Academic health sciences librarians and general academic librarians were more likely than hospital librarians to be aware of the Framework. Those using the Framework were mostly revising and creating content, revising their teaching approach, and learning more about the Framework. Framework users commented that it was influencing how they thought about and discussed information literacy with faculty and students. Most hospital librarians and half the academic health sciences librarians were not using and had no plans to use the Framework. Librarians with more than twenty years of experience were less likely to be aware of the Framework and more likely to have no plans to use it. Common reasons for not using the Framework were lack of awareness of a new version and lack of involvement in formal instruction. Conclusion: The results suggest that there is room to improve awareness and application of the Framework among health sciences librarians. PMID:28983198

  5. Describing Older Adults' Awareness of Fall Risk Using Situation Awareness Research Techniques: A Pilot Study.

    PubMed

    Azzarello, Jo; Hall, Beth

    2016-07-01

    The purpose of the current study was to evaluate efficacy of techniques adapted from situation awareness research for describing how older adults perceive and understand fall risk factors in the context of daily routine. Eleven older adults watched a video of an older woman performing daily activities. Thirteen intrinsic, extrinsic, and behavioral fall risks were embedded throughout the scenario. The video was periodically frozen/blanked from view while participants answered questions about their understanding of the situation and associated story elements. Participants perceived a variety of fall risk factors but did not necessarily interpret them as indicating fall risk. Many fall risks held non-fall meaning for participants (e.g., newspapers on the floor meant the woman liked to read). Although four participants readily identified a fall risk situation, seven did not until they were explicitly asked to consider safety. Study techniques were effective for describing situation awareness of fall risk and several suggestions for improvement are described. [Res Gerontol Nurs. 2016; 9(4):161-166.]. Copyright 2016, SLACK Incorporated.

  6. Community-aware task allocation for social networked multiagent systems.

    PubMed

    Wang, Wanyuan; Jiang, Yichuan

    2014-09-01

    In this paper, we propose a novel community-aware task allocation model for social networked multiagent systems (SN-MASs), where the agent' cooperation domain is constrained in community and each agent can negotiate only with its intracommunity member agents. Under such community-aware scenarios, we prove that it remains NP-hard to maximize system overall profit. To solve this problem effectively, we present a heuristic algorithm that is composed of three phases: 1) task selection: select the desirable task to be allocated preferentially; 2) allocation to community: allocate the selected task to communities based on a significant task-first heuristics; and 3) allocation to agent: negotiate resources for the selected task based on a nonoverlap agent-first and breadth-first resource negotiation mechanism. Through the theoretical analyses and experiments, the advantages of our presented heuristic algorithm and community-aware task allocation model are validated. 1) Our presented heuristic algorithm performs very closely to the benchmark exponential brute-force optimal algorithm and the network flow-based greedy algorithm in terms of system overall profit in small-scale applications. Moreover, in the large-scale applications, the presented heuristic algorithm achieves approximately the same overall system profit, but significantly reduces the computational load compared with the greedy algorithm. 2) Our presented community-aware task allocation model reduces the system communication cost compared with the previous global-aware task allocation model and improves the system overall profit greatly compared with the previous local neighbor-aware task allocation model.

  7. Awareness and Knowledge of Ergonomics Among Medical Laboratory Scientists in Nigeria

    PubMed Central

    Oladeinde, BH; Ekejindu, IM; Omoregie, R; Aguh, OD

    2015-01-01

    Background: Ergonomics awareness helps in its right application and contributes significantly to general wellbeing and safety of worker at workplace. Aim: This cross-sectional descriptive study aimed at assessing the level of awareness and knowledge of the science of ergonomics among Medical Laboratory Scientists in Benin City, Nigeria. Subjects and Methods: A total of 106 medical laboratory scientists comprising 64 and 42 in public and private laboratories, respectively, were recruited for this study using systematic random sampling technique. Data were obtained from the study participants using a questionnaire and subsequently analyzed with the statistical software INSTAT®. Results: Out of 106 study participants, 27 (25.5%) were reported to have heard of the term ergonomics. Awareness was significantly associated with gender (male vs. female: 38.5% [15/39] vs. 17.9% [12/67]; odds ratio = 2.9; 95% confidence interval = 1.2, 7.1;P = 0.02). Awareness of ergonomics was not significantly affected by affiliation (P = 0.18), area of specialization (P = 0.78), post-qualification experience (P = 0.43), and educational qualification (P = 0.23) of the study participants. Irrespective of the affiliation of the participant, only 6 of 27 (22.2%) participants who were aware of ergonomics knew at least a benefit of right application of ergonomics in the laboratory. Knowledge of risk factors for the development of musculoskeletal disorders was reported by 8 of 27 (29.6%) persons who claimed to be aware of ergonomics. Conclusions: Awareness of ergonomics and knowledge of gains of its right application was poor among the study participants. Regular ergonomic education of medical laboratory scientists in Nigeria is advocated. PMID:27057381

  8. Racial Differences in Awareness of the Affordable Care Act and Application Assistance Among Low-Income Adults in Three Southern States

    PubMed Central

    Garcia Mosqueira, Adrian; Hua, Lynn M.; Sommers, Benjamin D.

    2015-01-01

    The Affordable Care Act (ACA) expanded Medicaid eligibility to adults with incomes under 138% of the federal poverty level, leading to substantial reductions in uninsured rates among low-income adults. Despite large gains in coverage, studies suggest that Latinos may be less likely than other racial/ethnic groups to apply and enroll in health insurance, and they remain the group with the highest uninsured rate in the United States. We explore two potential factors related to racial/ethnic differences in ACA enrollment—awareness of the law and receipt of application assistance such as navigator services. Using a survey of nearly 3000 low-income U.S. citizens (aged 19-64) in 3 states in late 2014, we find that Latinos had significantly lower levels of awareness of the ACA relative to other groups, even after adjusting for demographic covariates. Higher education was the strongest positive predictor of ACA awareness. In contrast, Latinos were much more likely to receive assistance from navigators or social workers when applying, relative to other racial/ethnic groups. Taken together, these results highlight the importance of ACA outreach efforts to increase awareness among low-income and less educated populations, two groups that are overrepresented in the Latino population, to close existing disparities in coverage. PMID:26453675

  9. Racial disparities in hypertension awareness and management: Are there differences among African Americans and Whites living in similar social and healthcare resource environments?

    PubMed Central

    Thorpe, R. J.; Bowie, J. V.; Smolen, J. R.; Bell, C. N.; Jenkins, M. L.; Jackson, J.; LaVeist, T. A.

    2015-01-01

    Background Although racial disparities in hypertension awareness and management are well documented, studies have not accounted for the differing social contexts in which whites and African Americans live. Objective To examine the nature of disparities in hypertension awareness, treatment, and control within a sample of whites and African Americans living in the same social context and with access to the same healthcare environment. Design Cross-sectional study. Participants 949 hypertensive African American and white adults in the Exploring Health Disparities in Integrated Communities-Southwest Baltimore (EHDIC-SWB) Study. Measurements Logistic regression models were conducted to estimate the association between race and hypertension awareness, treatment and control adjusting for potential confounders. Results African Americans had greater odds of being aware of their hypertension than whites (odds ratio=1.44; 95% confidence interval 1:04, 2.01). However, African Americans and whites had similar odds of being treated for hypertension, and having their hypertension under control. Discussion Within this racially integrated sample of hypertensive adults who share similar healthcare market, race differences in treatment and control of hypertension were eliminated. Accounting for the social context should be considered in public health campaigns targeting hypertension awareness and management. PMID:25065066

  10. Patient centered fall risk awareness perspectives: clinical correlates and fall risk

    PubMed Central

    Verghese, Joe

    2016-01-01

    Background While objective measures to assess risk of falls in older adults have been established; the value of patient self-reports in the context of falls is not known. Objectives To identify clinical correlates of patient centered fall risk awareness, and their validity for predicting falls. Design Prospective cohort study. Setting and Participants 316 non-demented and ambulatory community-dwelling older adults (mean age 78 years, 55% women). Measurements Fall risk awareness was assessed with a two-item questionnaire, which asked participants about overall likelihood and personal risk of falling over the next 12 months. Incident falls were recorded over study follow-up. Results Fifty-three participants (16.8%) responded positively to the first fall risk awareness question about being likely to have a fall in the next 12 months, and 100 (31.6%) reported being at personal risk of falling over the next 12 months. There was only fair correlation (kappa 0.370) between responses on the two questions. Prior falls and depressive symptoms were associated with positive responses on both fall risk awareness questions. Age and other established fall risk factors were not associated with responses on both fall risk awareness questions. The fall risk awareness questionnaire did not predict incident falls or injurious falls. Conclusion Fall risk awareness is low in older adults. While patient centered fall risk awareness is not predictive of falls, subjective risk perceptions should be considered when designing fall preventive strategies as they may influence participation and behaviors. PMID:27801936

  11. Ambient-aware continuous care through semantic context dissemination.

    PubMed

    Ongenae, Femke; Famaey, Jeroen; Verstichel, Stijn; De Zutter, Saar; Latré, Steven; Ackaert, Ann; Verhoeve, Piet; De Turck, Filip

    2014-12-04

    The ultimate ambient-intelligent care room contains numerous sensors and devices to monitor the patient, sense and adjust the environment and support the staff. This sensor-based approach results in a large amount of data, which can be processed by current and future applications, e.g., task management and alerting systems. Today, nurses are responsible for coordinating all these applications and supplied information, which reduces the added value and slows down the adoption rate.The aim of the presented research is the design of a pervasive and scalable framework that is able to optimize continuous care processes by intelligently reasoning on the large amount of heterogeneous care data. The developed Ontology-based Care Platform (OCarePlatform) consists of modular components that perform a specific reasoning task. Consequently, they can easily be replicated and distributed. Complex reasoning is achieved by combining the results of different components. To ensure that the components only receive information, which is of interest to them at that time, they are able to dynamically generate and register filter rules with a Semantic Communication Bus (SCB). This SCB semantically filters all the heterogeneous care data according to the registered rules by using a continuous care ontology. The SCB can be distributed and a cache can be employed to ensure scalability. A prototype implementation is presented consisting of a new-generation nurse call system supported by a localization and a home automation component. The amount of data that is filtered and the performance of the SCB are evaluated by testing the prototype in a living lab. The delay introduced by processing the filter rules is negligible when 10 or fewer rules are registered. The OCarePlatform allows disseminating relevant care data for the different applications and additionally supports composing complex applications from a set of smaller independent components. This way, the platform significantly reduces

  12. An appraisal of students' awareness of "self-reflection" in a first-year pathology course of undergraduate medical/dental education

    PubMed Central

    2011-01-01

    Background Self-reflection and reflective practice are increasingly considered as essential attributes of competent professionals functioning in complex and ever-changing healthcare systems of the 21st century. The aim of this study was to determine the extent of students' awareness and understanding of the reflective process and the meaning of 'self-reflection' within the contextual framework of their learning environment in the first-year of their medical/dental education. We endorse that the introduction of such explicit educational tasks at this early stage enhances and promotes students' awareness, understanding, and proficiency of this skill in their continuing life-long health professional learning. Methods Over two years, students registered in first-year pathology at the University of Saskatchewan were introduced to a self-reflection assignment which comprised in the submission of a one-page reflective document to a template of reflective questions provided in the given context of their learning environment. This was a mandatory but ungraded component at the midterm and final examinations. These documents were individually analyzed and thematically categorized to a "5 levels-of-reflection-awareness" scale using a specially-designed rubric based on the accepted major theories of reflection that included students' identification of: 1) personal abilities, 2) personal learning styles 3) relationships between course material and student history 4) emotional responses and 5) future applications. Results 410 self-reflection documents were analyzed. The student self-awareness on personal learning style (72.7% level 3+) and course content (55.2% level 3+) were well-reflected. Reflections at a level 1 awareness included identification of a) specific teaching strategies utilized to enhance learning (58.4%), b) personal strengths/weaknesses (53%), and c) emotional responses, values, and beliefs (71.5%). Students' abilities to connect information to life experiences

  13. Can eye-tracking technology improve situational awareness in paramedic clinical education?

    PubMed

    Williams, Brett; Quested, Andrew; Cooper, Simon

    2013-01-01

    Human factors play a significant part in clinical error. Situational awareness (SA) means being aware of one's surroundings, comprehending the present situation, and being able to predict outcomes. It is a key human skill that, when properly applied, is associated with reducing medical error: eye-tracking technology can be used to provide an objective and qualitative measure of the initial perception component of SA. Feedback from eye-tracking technology can be used to improve the understanding and teaching of SA in clinical contexts, and consequently, has potential for reducing clinician error and the concomitant adverse events.

  14. Advanced situation awareness with localised environmental community observatories in the Future Internet

    NASA Astrophysics Data System (ADS)

    Sabeur, Z. A.; Denis, H.; Nativi, S.

    2012-04-01

    The phenomenal advances in information and communication technologies over the last decade have led to offering unprecedented connectivity with real potentials for "Smart living" between large segments of human populations around the world. In particular, Voluntary Groups(VGs) and individuals with interest in monitoring the state of their local environment can be connected through the internet and collaboratively generate important localised environmental observations. These could be considered as the Community Observatories(CO) of the Future Internet(FI). However, a set of FI enablers are needed to be deployed for these communities to become effective COs in the Future Internet. For example, these communities will require access to services for the intelligent processing of heterogeneous data and capture of advancend situation awarness about the environment. This important enablement will really unlock the communities true potential for participating in localised monitoring of the environment in addition to their contribution in the creation of business entreprise. Among the eight Usage Areas(UA) projects of the FP7 FI-PPP programme, the ENVIROFI Integrated Project focuses on the specifications of the Future Internet enablers of the Environment UA. The specifications are developed under multiple environmental domains in context of users needs for the development of mash-up applications in the Future Internet. It will enable users access to real-time, on-demand fused information with advanced situation awareness about the environment at localised scales. The mash-up applications shall get access to rich spatio-temporal information from structured fusion services which aggregate COs information with existing environmental monitoring stations data, established by research organisations and private entreprise. These applications are being developed in ENVIROFI for the atmospheric, marine and biodiversity domains, together with a potential to be extended to other

  15. Integrated Display and Environmental Awareness System - System Architecture Definition

    NASA Technical Reports Server (NTRS)

    Doule, Ondrej; Miranda, David; Hochstadt, Jake

    2017-01-01

    The Integrated Display and Environmental Awareness System (IDEAS) is an interdisciplinary team project focusing on the development of a wearable computer and Head Mounted Display (HMD) based on Commercial-Off-The-Shelf (COTS) components for the specific application and needs of NASA technicians, engineers and astronauts. Wearable computers are on the verge of utilization trials in daily life as well as industrial environments. The first civil and COTS wearable head mounted display systems were introduced just a few years ago and they probed not only technology readiness in terms of performance, endurance, miniaturization, operability and usefulness but also maturity of practice in perspective of a socio-technical context. Although the main technical hurdles such as mass and power were addressed as improvements on the technical side, the usefulness, practicality and social acceptance were often noted on the side of a broad variety of humans' operations. In other words, although the technology made a giant leap, its use and efficiency still looks for the sweet spot. The first IDEAS project started in January 2015 and was concluded in January 2017. The project identified current COTS systems' capability at minimum cost and maximum applicability and brought about important strategic concepts that will serve further IDEAS-like system development.

  16. An adaptive process-based cloud infrastructure for space situational awareness applications

    NASA Astrophysics Data System (ADS)

    Liu, Bingwei; Chen, Yu; Shen, Dan; Chen, Genshe; Pham, Khanh; Blasch, Erik; Rubin, Bruce

    2014-06-01

    Space situational awareness (SSA) and defense space control capabilities are top priorities for groups that own or operate man-made spacecraft. Also, with the growing amount of space debris, there is an increase in demand for contextual understanding that necessitates the capability of collecting and processing a vast amount sensor data. Cloud computing, which features scalable and flexible storage and computing services, has been recognized as an ideal candidate that can meet the large data contextual challenges as needed by SSA. Cloud computing consists of physical service providers and middleware virtual machines together with infrastructure, platform, and software as service (IaaS, PaaS, SaaS) models. However, the typical Virtual Machine (VM) abstraction is on a per operating systems basis, which is at too low-level and limits the flexibility of a mission application architecture. In responding to this technical challenge, a novel adaptive process based cloud infrastructure for SSA applications is proposed in this paper. In addition, the details for the design rationale and a prototype is further examined. The SSA Cloud (SSAC) conceptual capability will potentially support space situation monitoring and tracking, object identification, and threat assessment. Lastly, the benefits of a more granular and flexible cloud computing resources allocation are illustrated for data processing and implementation considerations within a representative SSA system environment. We show that the container-based virtualization performs better than hypervisor-based virtualization technology in an SSA scenario.

  17. Context-Aware Design for Process Flexibility and Adaptation

    ERIC Educational Resources Information Center

    Yao, Wen

    2012-01-01

    Today's organizations face continuous and unprecedented changes in their business environment. Traditional process design tools tend to be inflexible and can only support rigidly defined processes (e.g., order processing in the supply chain). This considerably restricts their real-world applications value, especially in the dynamic and…

  18. A Novel Audiovisual Brain-Computer Interface and Its Application in Awareness Detection.

    PubMed

    Wang, Fei; He, Yanbin; Pan, Jiahui; Xie, Qiuyou; Yu, Ronghao; Zhang, Rui; Li, Yuanqing

    2015-06-30

    Currently, detecting awareness in patients with disorders of consciousness (DOC) is a challenging task, which is commonly addressed through behavioral observation scales such as the JFK Coma Recovery Scale-Revised. Brain-computer interfaces (BCIs) provide an alternative approach to detect awareness in patients with DOC. However, these patients have a much lower capability of using BCIs compared to healthy individuals. This study proposed a novel BCI using temporally, spatially, and semantically congruent audiovisual stimuli involving numbers (i.e., visual and spoken numbers). Subjects were instructed to selectively attend to the target stimuli cued by instruction. Ten healthy subjects first participated in the experiment to evaluate the system. The results indicated that the audiovisual BCI system outperformed auditory-only and visual-only systems. Through event-related potential analysis, we observed audiovisual integration effects for target stimuli, which enhanced the discriminability between brain responses for target and nontarget stimuli and thus improved the performance of the audiovisual BCI. This system was then applied to detect the awareness of seven DOC patients, five of whom exhibited command following as well as number recognition. Thus, this audiovisual BCI system may be used as a supportive bedside tool for awareness detection in patients with DOC.

  19. A Novel Audiovisual Brain-Computer Interface and Its Application in Awareness Detection

    PubMed Central

    Wang, Fei; He, Yanbin; Pan, Jiahui; Xie, Qiuyou; Yu, Ronghao; Zhang, Rui; Li, Yuanqing

    2015-01-01

    Currently, detecting awareness in patients with disorders of consciousness (DOC) is a challenging task, which is commonly addressed through behavioral observation scales such as the JFK Coma Recovery Scale-Revised. Brain-computer interfaces (BCIs) provide an alternative approach to detect awareness in patients with DOC. However, these patients have a much lower capability of using BCIs compared to healthy individuals. This study proposed a novel BCI using temporally, spatially, and semantically congruent audiovisual stimuli involving numbers (i.e., visual and spoken numbers). Subjects were instructed to selectively attend to the target stimuli cued by instruction. Ten healthy subjects first participated in the experiment to evaluate the system. The results indicated that the audiovisual BCI system outperformed auditory-only and visual-only systems. Through event-related potential analysis, we observed audiovisual integration effects for target stimuli, which enhanced the discriminability between brain responses for target and nontarget stimuli and thus improved the performance of the audiovisual BCI. This system was then applied to detect the awareness of seven DOC patients, five of whom exhibited command following as well as number recognition. Thus, this audiovisual BCI system may be used as a supportive bedside tool for awareness detection in patients with DOC. PMID:26123281

  20. Phonological awareness: explicit instruction for young deaf and hard-of-hearing children.

    PubMed

    Miller, Elizabeth M; Lederberg, Amy R; Easterbrooks, Susan R

    2013-04-01

    The goal of this study was to explore the development of spoken phonological awareness for deaf and hard-of-hearing children (DHH) with functional hearing (i.e., the ability to access spoken language through hearing). Teachers explicitly taught five preschoolers the phonological awareness skills of syllable segmentation, initial phoneme isolation, and rhyme discrimination in the context of a multifaceted emergent literacy intervention. Instruction occurred in settings where teachers used simultaneous communication or spoken language only. A multiple-baseline across skills design documented a functional relation between instruction and skill acquisition for those children who did not have the skills at baseline with one exception; one child did not meet criteria for syllable segmentation. These results were confirmed by changes on phonological awareness tests that were administered at the beginning and end of the school year. We found that DHH children who varied in primary communication mode, chronological age, and language ability all benefited from explicit instruction in phonological awareness.

  1. Cloud computing for context-aware enhanced m-Health services.

    PubMed

    Fernandez-Llatas, Carlos; Pileggi, Salvatore F; Ibañez, Gema; Valero, Zoe; Sala, Pilar

    2015-01-01

    m-Health services are increasing its presence in our lives due to the high penetration of new smartphone devices. This new scenario proposes new challenges in terms of information accessibility that require new paradigms which enable the new applications to access the data in a continuous and ubiquitous way, ensuring the privacy required depending on the kind of data accessed. This paper proposes an architecture based on cloud computing paradigms in order to empower new m-Health applications to enrich their results by providing secure access to user data.

  2. Telehealth Applications to Enhance CKD Knowledge and Awareness Among Patients and Providers.

    PubMed

    Tuot, Delphine S; Boulware, L Ebony

    2017-01-01

    CKD affects 13% of the US adult population, causes excess mortality, and is associated with significant sociodemographic disparities. Optimal CKD management slows progression of disease and reduces cardiovascular-related outcomes. Resources for patients and primary care providers, major stakeholders in preventive CKD care, are critically needed to enhance understanding of the disease and to optimize CKD health, particularly because of the asymptomatic nature of kidney disease. Telehealth is defined as the use of electronic communication and telecommunications technology to support long-distance clinical health care, patient and professional health-related education, and public health and health administration. It provides new opportunities to enhance awareness and understanding among these important stakeholders. This review will examine the role of telehealth within existing educational theories, identify telehealth applications that can enhance CKD knowledge and behavior change among patients and primary care providers, and examine the advantages and disadvantages of telehealth vs usual modalities for education. Copyright © 2016 National Kidney Foundation, Inc. Published by Elsevier Inc. All rights reserved.

  3. Applying predictive analytics to develop an intelligent risk detection application for healthcare contexts.

    PubMed

    Moghimi, Fatemeh Hoda; Cheung, Michael; Wickramasinghe, Nilmini

    2013-01-01

    Healthcare is an information rich industry where successful outcomes require the processing of multi-spectral data and sound decision making. The exponential growth of data and big data issues coupled with a rapid increase of service demands in healthcare contexts today, requires a robust framework enabled by IT (information technology) solutions as well as real-time service handling in order to ensure superior decision making and successful healthcare outcomes. Such a context is appropriate for the application of real time intelligent risk detection decision support systems using predictive analytic techniques such as data mining. To illustrate the power and potential of data science technologies in healthcare decision making scenarios, the use of an intelligent risk detection (IRD) model is proffered for the context of Congenital Heart Disease (CHD) in children, an area which requires complex high risk decisions that need to be made expeditiously and accurately in order to ensure successful healthcare outcomes.

  4. Awareness and Learning in Participatory Noise Sensing

    PubMed Central

    Becker, Martin; Caminiti, Saverio; Fiorella, Donato; Francis, Louise; Gravino, Pietro; Haklay, Mordechai (Muki); Hotho, Andreas; Loreto, Vittorio; Mueller, Juergen; Ricchiuti, Ferdinando; Servedio, Vito D. P.; Sîrbu, Alina; Tria, Francesca

    2013-01-01

    The development of ICT infrastructures has facilitated the emergence of new paradigms for looking at society and the environment over the last few years. Participatory environmental sensing, i.e. directly involving citizens in environmental monitoring, is one example, which is hoped to encourage learning and enhance awareness of environmental issues. In this paper, an analysis of the behaviour of individuals involved in noise sensing is presented. Citizens have been involved in noise measuring activities through the WideNoise smartphone application. This application has been designed to record both objective (noise samples) and subjective (opinions, feelings) data. The application has been open to be used freely by anyone and has been widely employed worldwide. In addition, several test cases have been organised in European countries. Based on the information submitted by users, an analysis of emerging awareness and learning is performed. The data show that changes in the way the environment is perceived after repeated usage of the application do appear. Specifically, users learn how to recognise different noise levels they are exposed to. Additionally, the subjective data collected indicate an increased user involvement in time and a categorisation effect between pleasant and less pleasant environments. PMID:24349102

  5. Privacy-Related Context Information for Ubiquitous Health

    PubMed Central

    Nykänen, Pirkko; Ruotsalainen, Pekka

    2014-01-01

    Background Ubiquitous health has been defined as a dynamic network of interconnected systems. A system is composed of one or more information systems, their stakeholders, and the environment. These systems offer health services to individuals and thus implement ubiquitous computing. Privacy is the key challenge for ubiquitous health because of autonomous processing, rich contextual metadata, lack of predefined trust among participants, and the business objectives. Additionally, regulations and policies of stakeholders may be unknown to the individual. Context-sensitive privacy policies are needed to regulate information processing. Objective Our goal was to analyze privacy-related context information and to define the corresponding components and their properties that support privacy management in ubiquitous health. These properties should describe the privacy issues of information processing. With components and their properties, individuals can define context-aware privacy policies and set their privacy preferences that can change in different information-processing situations. Methods Scenarios and user stories are used to analyze typical activities in ubiquitous health to identify main actors, goals, tasks, and stakeholders. Context arises from an activity and, therefore, we can determine different situations, services, and systems to identify properties for privacy-related context information in information-processing situations. Results Privacy-related context information components are situation, environment, individual, information technology system, service, and stakeholder. Combining our analyses and previously identified characteristics of ubiquitous health, more detailed properties for the components are defined. Properties define explicitly what context information for different components is needed to create context-aware privacy policies that can control, limit, and constrain information processing. With properties, we can define, for example, how

  6. A Context-Aware-Based Audio Guidance System for Blind People Using a Multimodal Profile Model

    PubMed Central

    Lin, Qing; Han, Youngjoon

    2014-01-01

    A wearable guidance system is designed to provide context-dependent guidance messages to blind people while they traverse local pathways. The system is composed of three parts: moving scene analysis, walking context estimation and audio message delivery. The combination of a downward-pointing laser scanner and a camera is used to solve the challenging problem of moving scene analysis. By integrating laser data profiles and image edge profiles, a multimodal profile model is constructed to estimate jointly the ground plane, object locations and object types, by using a Bayesian network. The outputs of the moving scene analysis are further employed to estimate the walking context, which is defined as a fuzzy safety level that is inferred through a fuzzy logic model. Depending on the estimated walking context, the audio messages that best suit the current context are delivered to the user in a flexible manner. The proposed system is tested under various local pathway scenes, and the results confirm its efficiency in assisting blind people to attain autonomous mobility. PMID:25302812

  7. Mobile therapy: case study evaluations of a cell phone application for emotional self-awareness.

    PubMed

    Morris, Margaret E; Kathawala, Qusai; Leen, Todd K; Gorenstein, Ethan E; Guilak, Farzin; Labhard, Michael; Deleeuw, William

    2010-04-30

    Emotional awareness and self-regulation are important skills for improving mental health and reducing the risk of cardiovascular disease. Cognitive behavioral therapy can teach these skills but is not widely available. This exploratory study examined the potential of mobile phone technologies to broaden access to cognitive behavioral therapy techniques and to provide in-the-moment support. We developed a mobile phone application with touch screen scales for mood reporting and therapeutic exercises for cognitive reappraisal (ie, examination of maladaptive interpretations) and physical relaxation. The application was deployed in a one-month field study with eight individuals who had reported significant stress during an employee health assessment. Participants were prompted via their mobile phones to report their moods several times a day on a Mood Map-a translation of the circumplex model of emotion-and a series of single-dimension mood scales. Using the prototype, participants could also activate mobile therapies as needed. During weekly open-ended interviews, participants discussed their use of the device and responded to longitudinal views of their data. Analyses included a thematic review of interview narratives, assessment of mood changes over the course of the study and the diurnal cycle, and interrogation of this mobile data based on stressful incidents reported in interviews. Five case studies illustrate participants' use of the mobile phone application to increase self-awareness and to cope with stress. One example is a participant who had been coping with longstanding marital conflict. After reflecting on his mood data, particularly a drop in energy each evening, the participant began practicing relaxation therapies on the phone before entering his house, applying cognitive reappraisal techniques to cope with stressful family interactions, and talking more openly with his wife. His mean anger, anxiety and sadness ratings all were lower in the second half

  8. Mobile Therapy: Case Study Evaluations of a Cell Phone Application for Emotional Self-Awareness

    PubMed Central

    Kathawala, Qusai; Leen, Todd K; Gorenstein, Ethan E; Guilak, Farzin; Labhard, Michael; Deleeuw, William

    2010-01-01

    Background Emotional awareness and self-regulation are important skills for improving mental health and reducing the risk of cardiovascular disease. Cognitive behavioral therapy can teach these skills but is not widely available. Objective This exploratory study examined the potential of mobile phone technologies to broaden access to cognitive behavioral therapy techniques and to provide in-the-moment support. Methods We developed a mobile phone application with touch screen scales for mood reporting and therapeutic exercises for cognitive reappraisal (ie, examination of maladaptive interpretations) and physical relaxation. The application was deployed in a one-month field study with eight individuals who had reported significant stress during an employee health assessment. Participants were prompted via their mobile phones to report their moods several times a day on a Mood Map—a translation of the circumplex model of emotion—and a series of single-dimension mood scales. Using the prototype, participants could also activate mobile therapies as needed. During weekly open-ended interviews, participants discussed their use of the device and responded to longitudinal views of their data. Analyses included a thematic review of interview narratives, assessment of mood changes over the course of the study and the diurnal cycle, and interrogation of this mobile data based on stressful incidents reported in interviews. Results Five case studies illustrate participants' use of the mobile phone application to increase self-awareness and to cope with stress. One example is a participant who had been coping with longstanding marital conflict. After reflecting on his mood data, particularly a drop in energy each evening, the participant began practicing relaxation therapies on the phone before entering his house, applying cognitive reappraisal techniques to cope with stressful family interactions, and talking more openly with his wife. His mean anger, anxiety and sadness

  9. Social Learning Theory: its application in the context of nurse education.

    PubMed

    Bahn, D

    2001-02-01

    Cognitive theories are fundamental to enable problem solving and the ability to understand and apply principles in a variety of situations. This article looks at Social Learning Theory, critically analysing its principles, which are based on observational learning and modelling, and considering its value and application in the context of nurse education. It also considers the component processes that will determine the outcome of observed behaviour, other than reinforcement, as identified by Bandura, namely: attention, retention, motor reproduction, and motivation. Copyright 2001 Harcourt Publishers Ltd.

  10. Big data for space situation awareness

    NASA Astrophysics Data System (ADS)

    Blasch, Erik; Pugh, Mark; Sheaff, Carolyn; Raquepas, Joe; Rocci, Peter

    2017-05-01

    Recent advances in big data (BD) have focused research on the volume, velocity, veracity, and variety of data. These developments enable new opportunities in information management, visualization, machine learning, and information fusion that have potential implications for space situational awareness (SSA). In this paper, we explore some of these BD trends as applicable for SSA towards enhancing the space operating picture. The BD developments could increase in measures of performance and measures of effectiveness for future management of the space environment. The global SSA influences include resident space object (RSO) tracking and characterization, cyber protection, remote sensing, and information management. The local satellite awareness can benefit from space weather, health monitoring, and spectrum management for situation space understanding. One area in big data of importance to SSA is value - getting the correct data/information at the right time, which corresponds to SSA visualization for the operator. A SSA big data example is presented supporting disaster relief for space situation awareness, assessment, and understanding.

  11. The Development of Environmental Awareness through School Science: Problems and Possibilities

    ERIC Educational Resources Information Center

    Hadzigeorgiou, Yannis; Skoumios, Michael

    2013-01-01

    This paper focuses upon the problem of raising environmental awareness in the context of school science. By focusing, as it does, on the relationship between the self and the natural environment, the paper discusses the difficulties that exist, such as the students' involvement with the natural world, as their object of study, the empirical…

  12. The clients' readiness to use mental health care services: Experiences and perceptions from Iranian context.

    PubMed

    Alavi, Mousa; Irajpour, Alireza

    2013-11-01

    Underutilization of mental health care services has been a challenge for the health care providers for many years. This challenge could be met in part by improving the clients' readiness to use such services. This study aimed to introduce the important aspects of the clients' readiness to use mental health services in the Iranian context. A thematic analysis of in-depth interviews was undertaken using a constant comparative approach. Participants (11 health professionals consisting of 3 physicians, 7 nurses, 1 psychologist, and 5 patients/their family members) were recruited from educational hospitals affiliated with Isfahan University of Medical Sciences, Iran. The credibility and trustworthiness was grounded on four aspects: factual value, applicability, consistency, and neutrality. The study findings uncovered two important aspects of the clients' readiness for utilizing mental health care services. These are described through two themes and related sub-themes: "The clients' awareness" implies the cognitive aspect of readiness and "the clients' attitudes" implies the psychological aspect of readiness, both of which have perceived to cultivate a fertile context through which the clients could access and use the mental health services more easily. For the health care system in Isfahan, Iran to be successful in delivering mental health services, training programs directed to prepare service users should be considered. Improving the clients' favorable attitudes and awareness should be considered.

  13. The Impacts of Network Centrality and Self-Regulation on an E-Learning Environment with the Support of Social Network Awareness

    ERIC Educational Resources Information Center

    Lin, Jian-Wei; Huang, Hsieh-Hong; Chuang, Yuh-Shy

    2015-01-01

    An e-learning environment that supports social network awareness (SNA) is a highly effective means of increasing peer interaction and assisting student learning by raising awareness of social and learning contexts of peers. Network centrality profoundly impacts student learning in an SNA-related e-learning environment. Additionally,…

  14. Image processing for flight crew enhanced situation awareness

    NASA Technical Reports Server (NTRS)

    Roberts, Barry

    1993-01-01

    This presentation describes the image processing work that is being performed for the Enhanced Situational Awareness System (ESAS) application. Specifically, the presented work supports the Enhanced Vision System (EVS) component of ESAS.

  15. Contexts in a Paper Recommendation System with Collaborative Filtering

    ERIC Educational Resources Information Center

    Winoto, Pinata; Tang, Tiffany Ya; McCalla, Gordon

    2012-01-01

    Making personalized paper recommendations to users in an educational domain is not a trivial task of simply matching users' interests with a paper topic. Therefore, we proposed a context-aware multidimensional paper recommendation system that considers additional user and paper features. Earlier experiments on experienced graduate students…

  16. The anarchic hand syndrome and utilization behavior: a window onto agentive self-awareness.

    PubMed

    Pacherie, Elisabeth

    2007-01-01

    Two main approaches can be discerned in the literature on agentive self-awareness: a top-down approach, according to which agentive self-awareness is fundamentally holistic in nature and involves the operations of a central-systems narrator, and a bottom-up approach that sees agentive self-awareness as produced by lowlevel processes grounded in the very machinery responsible for motor production and control. Neither approach is entirely satisfactory if taken in isolation; however, the question of whether their combination would yield a full account of agentive self-awareness remains very much open. In this paper, I contrast two disorders affecting the control of voluntary action: the anarchic hand syndrome and utilization behavior. Although in both conditions patients fail to inhibit actions that are elicited by objects in the environment but inappropriate with respect to the wider context, these actions are experienced in radically different ways by the two groups of patients. I discuss how top-down and bottom-up processes involved in the generation of agentive self-awareness would have to be related in order to account for these differences.

  17. Defining Contemplative Science: The Metacognitive Self-Regulatory Capacity of the Mind, Context of Meditation Practice and Modes of Existential Awareness

    PubMed Central

    Dorjee, Dusana

    2016-01-01

    The term ‘contemplative’ is now frequently used in the fast growing field of meditation research. Yet, there is no consensus regarding the definition of contemplative science. Meditation studies commonly imply that contemplative practices such as mindfulness or compassion are the subject of contemplative science. Such approach, arguably, contributes to terminological confusions in the field, is not conducive to the development of an overarching theory in contemplative science, and overshadows its unique methodological features. This paper outlines an alternative approach to defining contemplative science which aims to focus the research on the core capacities, processes and states of the mind modified by contemplative practices. It is proposed that contemplative science is an interdisciplinary study of the metacognitive self-regulatory capacity (MSRC) of the mind and associated modes of existential awareness (MEA) modulated by motivational/intentional and contextual factors of contemplative practices. The MSRC is a natural propensity of the mind which enables introspective awareness of mental processes and behavior, and is a necessary pre-requisite for effective self-regulation supporting well-being. Depending on the motivational/intentional and contextual factors of meditation practice, changes in the metacognitive self-regulatory processes enable shifts in MEA which determine our sense of self and reality. It is hypothesized that changes in conceptual processing are essential mediators between the MSRC, motivational/intentional factors, context of meditation practice, and the modulations in MEA. Meditation training fosters and fine-tunes the MSRC of the mind and supports development of motivational/intentional factors with the ultimate aim of facilitating increasingly advanced MEA. Implications of the proposed framework for definitions of mindfulness and for future systematic research across contemplative traditions and practices are discussed. It is

  18. Assessment of hypoglycaemia awareness using continuous glucose monitoring.

    PubMed

    Kubiak, T; Hermanns, N; Schreckling, H J; Kulzer, B; Haak, T

    2004-05-01

    To investigate the possibility of assessing hypoglycaemia awareness in patients with Type 1 diabetes using continuous glucose monitoring. Twenty patients with Type 1 diabetes were investigated. Ten patients with Type 1 diabetes and strongly impaired hypoglycaemia awareness were compared with 10 patients with intact hypoglycaemia awareness regarding quality of hypoglycaemia perception (number of undetected hypoglycaemic episodes per 24 h, glucose level < 3.3 mmol/l). Hypoglycaemia detection was assessed using the event function of the Continuous Glucose Monitoring System (CGMS; Medtronic MiniMed, Northridge, CA, USA). Patients were instructed to enter an event upon suspecting being hypoglycaemic. Satisfactory CGMS performance could be achieved [mean r = 0.893 between calibration measurements and CGMS data, mean absolute difference (MAD) = 20.6%], although artefacts were observable and had to be controlled. Hypoglycaemia unaware patients showed a significantly higher total number of hypoglycaemic episodes (P < 0.05), number of undetected hypoglycaemic episodes (P < 0.01), and mean glucose levels (P < 0.05). Even in aware patients, undetected hypoglycaemia was observable. No significant differences regarding occurrence of nocturnal hypoglycaemia were observable. The possibility of direct assessment of hypoglycaemia awareness using continuous glucose monitoring was demonstrated. Its application in clinical practice could be of use for assessing hypoglycaemia perception and evaluating the impact of treatment changes on hypoglycaemia awareness.

  19. Introducing Intertextuality-Aware Instruction as a Novel Approach of Teaching Reading Passages in EFL Context

    ERIC Educational Resources Information Center

    Khaghaninejad, Mohammad Saber

    2014-01-01

    This study was an attempt to investigate the possible effect of intertextuality-aware instruction of reading passages on a sample of intermediate EFL learners of both genders. First, the intertextuality deployed through the reading passages of the study's course-book was focused inspired by Fairclough's (192) framework in terms of genre, text…

  20. Phonological awareness: one key to the reading proficiency of deaf children.

    PubMed

    Nielsen, Diane Corcoran; Luetke-Stahlman, Barbara

    2002-07-01

    A case is made for the importance of children's development of phonological awareness--whether they are hearing or deaf--if they are to reach their potential as readers. Relevant terms are defined (i.e., phonological awareness, phonological processes, and phonics) to assist the reader with the research review, which covers (a) the typical stages in the acquisition of phonological awareness and (b) phonological awareness and deafness. Suggestions for phonological awareness assessment are offered, along with the recommendation that the use of recently developed formal and informal measures of phonological awareness might facilitate the setting of goals and objectives when deaf educators or speech-language pathologists are evaluating the skills of deaf students and planning instruction for these students. Such tools yield information about skills that have been shown to correlate with literacy attainment and that are not commonly addressed by deaf educators or speech-language pathologists serving deaf students. Finally, research concerning the facilitation of phonological awareness and its application is explained.

  1. Becoming Competent, Confident and Critically Aware: Tracing Academic Numeracy Development in Nursing

    ERIC Educational Resources Information Center

    Galligan, Linda

    2013-01-01

    This paper describes the mathematical journey of a mature aged nursing student as she struggles to become more academically numerate. Within the paper, academic numeracy is defined around three features: competence, confidence and critical awareness of both the context of mathematics and students' own relationship with mathematics. It then uses…

  2. Battlefield awareness computers: the engine of battlefield digitization

    NASA Astrophysics Data System (ADS)

    Ho, Jackson; Chamseddine, Ahmad

    1997-06-01

    solution, Computing Devices is planning to develop a notebook sized military computer designed for space limited vehicle-mounted applications, as well as a high-performance portable workstation equipped with a 19', full color, ultra-high resolution and high brightness active matrix liquid crystal display (AMLCD) targeting the command posts and tactical operations centers (TOC) applications. Together with the wearable computers Computing Devices developed at the Minneapolis facility for dismounted soldiers, Computing Devices will have a complete suite of interoperable battlefield awareness computers spanning the entire spectrum of battle digitization operating environments. Although this paper's primary focus is on a second generation 'combat ready' battlefield awareness computer or the V3+, this paper also briefly discusses the extension of the V3+ architecture to address the needs of the embedded and command post applications.3080

  3. Glocalisation and English Language Education in Chinese Context

    ERIC Educational Resources Information Center

    Rai, Laxmisha; Deng, Chunrao

    2016-01-01

    With the frequent interaction between China and the world, glocalisation, the combination of globalisation and localisation, is an unavoidable trend. This paper argues that the association of local situation with global awareness is one of the ways to assimilate English for daily use in Chinese context. The fundamental idea is that the use of…

  4. Video-Based Eye Tracking to Detect the Attention Shift: A Computer Classroom Context-Aware System

    ERIC Educational Resources Information Center

    Kuo, Yung-Lung; Lee, Jiann-Shu; Hsieh, Min-Chai

    2014-01-01

    Eye and head movements evoked in response to obvious visual attention shifts. However, there has been little progress on the causes of absent-mindedness so far. The paper proposes an attention awareness system that captures the conditions regarding the interaction of eye gaze and head pose under various attentional switching in computer classroom.…

  5. Conscious awareness is required for holistic face processing

    PubMed Central

    Axelrod, Vadim; Rees, Geraint

    2014-01-01

    Investigating the limits of unconscious processing is essential to understand the function of consciousness. Here, we explored whether holistic face processing, a mechanism believed to be important for face processing in general, can be accomplished unconsciously. Using a novel “eyes-face” stimulus we tested whether discrimination of pairs of eyes was influenced by the surrounding face context. While the eyes were fully visible, the faces that provided context could be rendered invisible through continuous flash suppression. Two experiments with three different sets of face stimuli and a subliminal learning procedure converged to show that invisible faces did not influence perception of visible eyes. In contrast, surrounding faces, when they were clearly visible, strongly influenced perception of the eyes. Thus, we conclude that conscious awareness might be a prerequisite for holistic face processing. PMID:24950500

  6. The Right Approach in Practice: A Discussion of the Applicability of EFL Writing Practices in a Saudi Context

    ERIC Educational Resources Information Center

    Oraif, Iman M.

    2016-01-01

    The aim of this paper is to describe the different approaches applied to teaching writing in the L2 context and the way these different methods have been established so far. The perspectives include a product approach, genre approach and process approach. Each has its own merits and objectives for application. Regarding the study context, it may…

  7. Study on Dissemination Patterns in Location-Aware Gossiping Networks

    NASA Astrophysics Data System (ADS)

    Kami, Nobuharu; Baba, Teruyuki; Yoshikawa, Takashi; Morikawa, Hiroyuki

    We study the properties of information dissemination over location-aware gossiping networks leveraging location-based real-time communication applications. Gossiping is a promising method for quickly disseminating messages in a large-scale system, but in its application to information dissemination for location-aware applications, it is important to consider the network topology and patterns of spatial dissemination over the network in order to achieve effective delivery of messages to potentially interested users. To this end, we propose a continuous-space network model extended from Kleinberg's small-world model applicable to actual location-based applications. Analytical and simulation-based study shows that the proposed network achieves high dissemination efficiency resulting from geographically neutral dissemination patterns as well as selective dissemination to proximate users. We have designed a highly scalable location management method capable of promptly updating the network topology in response to node movement and have implemented a distributed simulator to perform dynamic target pursuit experiments as one example of applications that are the most sensitive to message forwarding delay. The experimental results show that the proposed network surpasses other types of networks in pursuit efficiency and achieves the desirable dissemination patterns.

  8. A Context-Aware Mobile User Behavior-Based Neighbor Finding Approach for Preference Profile Construction †

    PubMed Central

    Gao, Qian; Fu, Deqian; Dong, Xiangjun

    2016-01-01

    In this paper, a new approach is adopted to update the user preference profile by seeking users with similar interests based on the context obtainable for a mobile network instead of from desktop networks. The trust degree between mobile users is calculated by analyzing their behavior based on the context, and then the approximate neighbors are chosen by combining the similarity of the mobile user preference and the trust degree. The approach first considers the communication behaviors between mobile users, the mobile network services they use as well as the corresponding context information. Then a similarity degree of the preference between users is calculated with the evaluation score of a certain mobile web service provided by a mobile user. Finally, based on the time attenuation function, the users with similar preference are found, through which we can dynamically update the target user’s preference profile. Experiments are then conducted to test the effect of the context on the credibility among mobile users, the effect of time decay factors and trust degree thresholds. Simulation shows that the proposed approach outperforms two other methods in terms of Recall Ratio, Precision Ratio and Mean Absolute Error, because neither of them consider the context mobile information. PMID:26805852

  9. Appdaptivity: An Internet of Things Device-Decoupled System for Portable Applications in Changing Contexts

    PubMed Central

    Díaz, Manuel; Rubio, Bartolomé; Van den Abeele, Floris

    2018-01-01

    Currently, applications in the Internet of Things (IoT) are tightly coupled to the underlying physical devices. As a consequence, upon adding a device, device replacement or user’s relocation to a different physical space, application developers have to re-perform installation and configuration processes to reconfigure applications, which bears costs in time and knowledge of low-level details. In the emerging IoT field, this issue is even more challenging due to its current unpredictable growth in term of applications and connected devices. In addition, IoT applications can be personalised to each end user and can be present in different environments. As a result, IoT scenarios are very changeable, presenting a challenge for IoT applications. In this paper we present Appdaptivity, a system that enables the development of portable device-decoupled applications that can be adapted to changing contexts. Through Appdaptivity, application developers can intuitively create portable and personalised applications, disengaging from the underlying physical infrastructure. Results confirms a good scalability of the system in terms of connected users and components involved. PMID:29701698

  10. Appdaptivity: An Internet of Things Device-Decoupled System for Portable Applications in Changing Contexts.

    PubMed

    Martín, Cristian; Hoebeke, Jeroen; Rossey, Jen; Díaz, Manuel; Rubio, Bartolomé; Van den Abeele, Floris

    2018-04-26

    Currently, applications in the Internet of Things (IoT) are tightly coupled to the underlying physical devices. As a consequence, upon adding a device, device replacement or user’s relocation to a different physical space, application developers have to re-perform installation and configuration processes to reconfigure applications, which bears costs in time and knowledge of low-level details. In the emerging IoT field, this issue is even more challenging due to its current unpredictable growth in term of applications and connected devices. In addition, IoT applications can be personalised to each end user and can be present in different environments. As a result, IoT scenarios are very changeable, presenting a challenge for IoT applications. In this paper we present Appdaptivity, a system that enables the development of portable device-decoupled applications that can be adapted to changing contexts. Through Appdaptivity, application developers can intuitively create portable and personalised applications, disengaging from the underlying physical infrastructure. Results confirms a good scalability of the system in terms of connected users and components involved.

  11. Quantized visual awareness.

    PubMed

    Escobar, W A

    2013-01-01

    The proposed model holds that, at its most fundamental level, visual awareness is quantized. That is to say that visual awareness arises as individual bits of awareness through the action of neural circuits with hundreds to thousands of neurons in at least the human striate cortex. Circuits with specific topologies will reproducibly result in visual awareness that correspond to basic aspects of vision like color, motion, and depth. These quanta of awareness (qualia) are produced by the feedforward sweep that occurs through the geniculocortical pathway but are not integrated into a conscious experience until recurrent processing from centers like V4 or V5 select the appropriate qualia being produced in V1 to create a percept. The model proposed here has the potential to shift the focus of the search for visual awareness to the level of microcircuits and these likely exist across the kingdom Animalia. Thus establishing qualia as the fundamental nature of visual awareness will not only provide a deeper understanding of awareness, but also allow for a more quantitative understanding of the evolution of visual awareness throughout the animal kingdom.

  12. Mirth and Murder: Crime Scene Investigation as a Work Context for Examining Humor Applications

    ERIC Educational Resources Information Center

    Roth, Gene L.; Vivona, Brian

    2010-01-01

    Within work settings, humor is used by workers for a wide variety of purposes. This study examines humor applications of a specific type of worker in a unique work context: crime scene investigation. Crime scene investigators examine death and its details. Members of crime scene units observe death much more frequently than other police officers…

  13. A Situation Awareness Assistant for Human Deep Space Exploration

    NASA Technical Reports Server (NTRS)

    Boy, Guy A.; Platt, Donald

    2013-01-01

    This paper presents the development and testing of a Virtual Camera (VC) system to improve astronaut and mission operations situation awareness while exploring other planetary bodies. In this embodiment, the VC is implemented using a tablet-based computer system to navigate through inter active database application. It is claimed that the advanced interaction media capability of the VC can improve situation awareness as the distribution of hu man space exploration roles change in deep space exploration. The VC is being developed and tested for usability and capability to improve situation awareness. Work completed thus far as well as what is needed to complete the project will be described. Planned testing will also be described.

  14. Awareness and using of medical students about mobile health technology in clinical areas.

    PubMed

    Ehteshami, Asghar; Hachesu, Peyman Rezaei; Esfahani, Mahtab Kasayi; Rezazadeh, Esmaeil

    2013-01-01

    NONE DECLARED. Necessity of data transmission and getting contact with specialists is so evident in impassable regions. In order to solve such problems, there are different solutions one of which is mobile health technology. Being small and user-friendly, easy to enter data and having low expense are some of its advantages. This study aims to define the association between awareness of medical students in clinical stage about mobile health technology application and the rate of their using this technology in educational hospital of Isfahan in 2011. The study is a cross-sectional analytical application research. Sixty medical students were selected as samples from a society of 240 medical students. A researcher-made questionnaire was used. The questionnaire included 21 multiple choice and 15 yes no questions, which were corrected to reach a score. A researcher-made checklist with 5-fold Likert scale was used to define the rate of applying such technology. The reliability of questionnaire was confirmed through a test-retest. The collected data were analyzed with the help of SPSS software in descriptive and deductive statistics level. The highest percentage of awareness about mobile health technology among medical students in the clinical stage of Azzahra educational hospital is 45.6 in nature areas, and their lowest percentage of awareness is 17.8 in the infrastructure area. In addition, their mean awareness of all areas is 54.4. The highest percentage of using mobile health technology by medical students is 14.6 in the education area, and their lowest percentage of usage is 6.8 in the treatment area. Their mean usage of all areas is 9.4 as well. The rate of awareness and application of mobile health technology is not favorable. Except for treatment, there is no significant association between the rate of awareness and application of mobile health technology.

  15. Context Relevant Prediction Model for COPD Domain Using Bayesian Belief Network

    PubMed Central

    Saleh, Lokman; Ajami, Hicham; Mili, Hafedh

    2017-01-01

    In the last three decades, researchers have examined extensively how context-aware systems can assist people, specifically those suffering from incurable diseases, to help them cope with their medical illness. Over the years, a huge number of studies on Chronic Obstructive Pulmonary Disease (COPD) have been published. However, how to derive relevant attributes and early detection of COPD exacerbations remains a challenge. In this research work, we will use an efficient algorithm to select relevant attributes where there is no proper approach in this domain. Such algorithm predicts exacerbations with high accuracy by adding discretization process, and organizes the pertinent attributes in priority order based on their impact to facilitate the emergency medical treatment. In this paper, we propose an extension of our existing Helper Context-Aware Engine System (HCES) for COPD. This project uses Bayesian network algorithm to depict the dependency between the COPD symptoms (attributes) in order to overcome the insufficiency and the independency hypothesis of naïve Bayesian. In addition, the dependency in Bayesian network is realized using TAN algorithm rather than consulting pneumologists. All these combined algorithms (discretization, selection, dependency, and the ordering of the relevant attributes) constitute an effective prediction model, comparing to effective ones. Moreover, an investigation and comparison of different scenarios of these algorithms are also done to verify which sequence of steps of prediction model gives more accurate results. Finally, we designed and validated a computer-aided support application to integrate different steps of this model. The findings of our system HCES has shown promising results using Area Under Receiver Operating Characteristic (AUC = 81.5%). PMID:28644419

  16. Caryoscope: An Open Source Java application for viewing microarray data in a genomic context

    PubMed Central

    Awad, Ihab AB; Rees, Christian A; Hernandez-Boussard, Tina; Ball, Catherine A; Sherlock, Gavin

    2004-01-01

    Background Microarray-based comparative genome hybridization experiments generate data that can be mapped onto the genome. These data are interpreted more easily when represented graphically in a genomic context. Results We have developed Caryoscope, which is an open source Java application for visualizing microarray data from array comparative genome hybridization experiments in a genomic context. Caryoscope can read General Feature Format files (GFF files), as well as comma- and tab-delimited files, that define the genomic positions of the microarray reporters for which data are obtained. The microarray data can be browsed using an interactive, zoomable interface, which helps users identify regions of chromosomal deletion or amplification. The graphical representation of the data can be exported in a number of graphic formats, including publication-quality formats such as PostScript. Conclusion Caryoscope is a useful tool that can aid in the visualization, exploration and interpretation of microarray data in a genomic context. PMID:15488149

  17. Global Maritime Awareness

    DTIC Science & Technology

    2009-06-01

    to maritime information Mission: Act as a Maritime Awareness Coordinator and data critical to building situational awareness . We are...Maritime Awareness Technical Sub-committee (NMATS) July 2008 Desired Outcome Maritime Information Exchange Vision: Global maritime information ...Global Maritime Situational Awareness I i i i 1 Information Hubs n t at ves: . 2. MSSIS (Maritime Safety & Security Information Systems

  18. QoS and energy aware cooperative routing protocol for wildfire monitoring wireless sensor networks.

    PubMed

    Maalej, Mohamed; Cherif, Sofiane; Besbes, Hichem

    2013-01-01

    Wireless sensor networks (WSN) are presented as proper solution for wildfire monitoring. However, this application requires a design of WSN taking into account the network lifetime and the shadowing effect generated by the trees in the forest environment. Cooperative communication is a promising solution for WSN which uses, at each hop, the resources of multiple nodes to transmit its data. Thus, by sharing resources between nodes, the transmission quality is enhanced. In this paper, we use the technique of reinforcement learning by opponent modeling, optimizing a cooperative communication protocol based on RSSI and node energy consumption in a competitive context (RSSI/energy-CC), that is, an energy and quality-of-service aware-based cooperative communication routing protocol. Simulation results show that the proposed algorithm performs well in terms of network lifetime, packet delay, and energy consumption.

  19. Staff awareness of the application of Mental Health and Guardianship Legislation in the care of hospitalised older persons.

    PubMed

    Panesar, Narinder; Valachova, Iveta; Schmidtman, Robert; Chan, Daniel Kam Yin

    2018-02-01

    The study aimed to survey hospital staff knowledge of the application of the Mental Health Act 2007 (NSW) (MHA) and the Guardianship Act 1987 (NSW) (GA) in the care and treatment of older persons in a teaching hospital in Sydney. Method Over a two-month period in 2017, a survey questionnaire was distributed to staff involved in older persons' care across the hospital. The majority of the hospital staff demonstrated basic theoretical knowledge of both the GA (76%) and of the MHA (84.5%). Fewer (64.5%) appeared to understand the practical application of the MHA in the hypothetical clinical situations. An even lower proportion of staff appeared to understand the application of the GA either to obtain consent for medical treatment or to appoint a guardian through the Guardianship Division of the NSW Civil and Administrative Tribunal (NCAT). Although clinical staff of the hospital displayed fair knowledge and awareness about the application of the MHA and the GA to inpatient care of older adults, further education is necessary, particularly about the application of the GA. The authors suggest similar findings may occur at other New South Wales hospitals, which may raise concern and need for education.

  20. Dynamics of Western Career Attributes in the Russian Context

    ERIC Educational Resources Information Center

    Khapova, Svetlana N.; Korotov, Konstantin

    2007-01-01

    Purpose: The purpose of this article is to raise awareness of the dynamic character of career and its key attributes, and the embeddedness of their definitions and meanings in national social, political and economic contexts. Design/methodology/approach: Features of three recent distinct social, political and economic situations in Russia are used…

  1. Language Learning Experience in School Context and Metacognitive Awareness of Multilingual Children

    ERIC Educational Resources Information Center

    Le Pichon Vorstman, Emmanuelle; De Swart, Henriette; Ceginskas, Viktorija; Van Den Bergh, Huub

    2009-01-01

    What is the influence of a language learning experience (LLE) in a school context on the metacognitive development of children? To answer that question, we presented 54 multilingual preschoolers with two movie clips and examined their reactions to an exolingual situation of communication. These preschoolers were aged four and a half to six and a…

  2. The Joint Effect of Bias Awareness and Self-Reported Prejudice on Intergroup Anxiety and Intentions for Intergroup Contact

    PubMed Central

    Perry, Sylvia P.; Dovidio, John F.; Murphy, Mary C.; van Ryn, Michelle

    2015-01-01

    Two correlational studies investigated the joint effect of Bias Awareness—a new individual difference measure that assesses Whites’ awareness and concern about their propensity to be biased—and prejudice on Whites’ intergroup anxiety and intended intergroup contact. Using a community sample (Study 1), we found the predicted Bias Awareness × Prejudice interaction. Prejudice was more strongly related to interracial anxiety among those high (vs. low) in Bias Awareness. Study 2 investigated potential behavioral consequences in an important real world context: medical students’ intentions for working primarily with minority patients. Study 2 replicated the Bias Awareness × Prejudice interaction and further demonstrated that interracial anxiety mediated medical students’ intentions to work with minority populations. PMID:25111552

  3. Increasing Awareness and Acceptance Through Mindfulness and Somatic Education Movements.

    PubMed

    Bloise, Paulo Vicente; Andrade, Mário César Rezende; Machado, Hans; Andreoli, Sérgio Baxter

    2016-01-01

    Context • The main feature of mindfulness-based interventions (MBI) is the encouragement of present moment awareness and of self-regulation, which are associated with health benefits. Meditating with the body in movement has been referred to as one of the most accessible ways of reaching such awareness. An MBI program, Mindfulness and Movements of Integration (MMI), has the same structure as mindfulness-based stress reduction (MBSR) but puts more emphasis on the body and uses somatic education (SE) movements instead of yoga postures. Objectives • The study aimed to explore and describe the implementation of an MMI group and evaluate the effects on the main skills of mindfulness (ie, present moment awareness and acceptance). Design • The study used a pretest-posttest design. Setting • The study took place at the clinic of the Department of Psychiatry at the Federal University of São Paulo in São Paulo, Brazil. Participants • Participants were individuals 18 y old or older living in the city of São Paulo, Brazil. Intervention • The intervention was structured to have 8 weekly sessions of 2.5 h each and a 1-d retreat. Participants were taught the formal meditation practices derived of MBSR: (1) the body scan and (2) awareness of different focuses-breathing, body sensations, sounds, thoughts, feelings, and open awareness. From the third session until the end of the study, 4 SE series of movements were added. Outcome Measures • The Brazilian adapted and validated versions of both the Mindful Attention Awareness Scale (MAAS) and the Philadelphia Mindfulness Scale (PHLMS) were used to assess present moment awareness, and acceptance was assessed using only the latter scale. Results • Significant improvements were observed in the mean score on the MAAS for present moment awareness (Cohen's d = 1.58). The PHLMS mean scores also showed significant improvements related to the Awareness (Cohen's d = 0.85) and Acceptance (Cohen's d = 0.63) subscales. However

  4. Using MIDI: A Staff Development Program Designed To Increase Teacher Awareness of the Technological Applications of Musical Instrument Digital Interface in the Classroom.

    ERIC Educational Resources Information Center

    Neese, Charles Glen

    This practicum report describes an instructional program designed to increase teacher awareness of the technological applications of musical instrument digital interface (MIDI) in the classroom. The primary goal of the study was to assist music teachers in becoming more informed about MIDI, and to enable them to effectively select the appropriate…

  5. Situation awareness and documentation of changes that affect patient outcomes in progress notes.

    PubMed

    Tower, Marion; Chaboyer, Wendy

    2014-05-01

    To report on registered nurses' situation awareness as a precursor to decision-making when recording changes in patients' conditions. Progress notes are important to communicate patients' progress and detail changes in patients' conditions. However, documentation is often poorly completed. There is little work that examines nurses' decision-making during documentation. This study focused on describing situation awareness as a precursor to decision-making during documentation. This study used Endsley's (Situation Awareness Analysis and Measurement, 2000, Lawrence Erlbaum Associates, NJ) work on situation awareness to guide and conceptualise information. The study was situated in a naturalistic paradigm to provide an interpretation of nurses' decision-making. Think-aloud research methods and semi-structured interviews were employed to illuminate decision-making processes. Audio recordings and interview texts were individually examined for evidence of cues, informed by Endsley's (Situation Awareness Analysis and Measurement, 2000, Lawrence Erlbaum Associates, NJ) descriptions of situation awareness. As patients' conditions changed, nurses used complex mental models and pattern-matching of information, drawing on all 3 levels of situation awareness during documentation. Level 1 situation awareness provided context, level 2 situation awareness signified a change in condition and its significance for the patient, and level 3 situation awareness was evident when nurses thought aloud about what this information indicated. Three themes associated with changes in patients' conditions emerged: deterioration in condition, not responding to prescribed treatments as expected and issues related to professional practice that impacted on patients' conditions. Nurses used a complex mental model for decision-making, drawing on 3 levels of situation awareness. Hamm's cognitive continuum theory, when related to situation awareness, is a useful decision-making theory to provide a

  6. Foreign Culture Awareness Needs of Saudi English Language Majors at Buraydah Community College

    ERIC Educational Resources Information Center

    Alsamani, Abdul-Aziz Saleh

    2014-01-01

    Although many EFL learners have a command of internalized foreign language knowledge, they may have difficulty using this knowledge in different contexts. This is due to many interacting factors affecting their performance, mainly lack of target culture awareness. This study intended to identify the cultural aspects suitable to be integrated into…

  7. Implementations of the HL7 Context-Aware Knowledge Retrieval (“Infobutton”) Standard: Challenges, Strengths, Limitations, and Uptake

    PubMed Central

    Del Fiol, Guilherme; Huser, Vojtech; Strasberg, Howard R; Maviglia, Saverio M; Curtis, Clayton; Cimino, James J

    2012-01-01

    To support clinical decision-making,computerized information retrieval tools known as “infobuttons” deliver contextually-relevant knowledge resources intoclinical information systems.The Health Level Seven International(HL7)Context-Aware Knowledge Retrieval (Infobutton) Standard specifies a standard mechanism to enable infobuttons on a large scale. Objective To examine the experience of organizations in the course of implementing the HL7 Infobutton Standard. Method Cross-sectionalonline survey and in-depth phone interviews. Results A total of 17 organizations participated in the study.Analysis of the in-depth interviews revealed 20 recurrent themes.Implementers underscored the benefits, simplicity, and flexibility of the HL7 Infobutton Standard. Yet, participants voiced the need for easier access to standard specifications and improved guidance to beginners. Implementers predicted that the Infobutton Standard will be widely or at least fairly well adopted in the next five years, but uptake will dependlargely on adoption among electronic health record (EHR) vendors. To accelerate EHR adoption of the Infobutton Standard,implementers recommended HL7-compliant infobutton capabilities to be included in the United States Meaningful Use Certification Criteria EHR systems. Limitations Opinions and predictions should be interpreted with caution, since all the participant organizations have successfully implemented the Standard and overhalf of the organizations were actively engaged in the development of the Standard. Conclusion Overall, implementers reported a very positive experience with the HL7 Infobutton Standard.Despite indications of increasing uptake, measures should be taken to stimulate adoption of the Infobutton Standard among EHR vendors. Widespread adoption of the Infobutton standard has the potential to bring contextually relevant clinical decision support content into the healthcare provider workflow. PMID:22226933

  8. Awareness of Biotechnological Application: A Study among University Geography Students

    ERIC Educational Resources Information Center

    Ozel, Ali; Terzi, Irfan; Ozel, Emine

    2009-01-01

    The aim of this study is to measure the differences of university geography students about biotechnology. Therefore an awareness scale was developed by the researcher. 102 students from six different universities and their academic levels were included in the survey. The findings of the survey were evaluated both descriptively and statistically.…

  9. QOS-aware error recovery in wireless body sensor networks using adaptive network coding.

    PubMed

    Razzaque, Mohammad Abdur; Javadi, Saeideh S; Coulibaly, Yahaya; Hira, Muta Tah

    2014-12-29

    Wireless body sensor networks (WBSNs) for healthcare and medical applications are real-time and life-critical infrastructures, which require a strict guarantee of quality of service (QoS), in terms of latency, error rate and reliability. Considering the criticality of healthcare and medical applications, WBSNs need to fulfill users/applications and the corresponding network's QoS requirements. For instance, for a real-time application to support on-time data delivery, a WBSN needs to guarantee a constrained delay at the network level. A network coding-based error recovery mechanism is an emerging mechanism that can be used in these systems to support QoS at very low energy, memory and hardware cost. However, in dynamic network environments and user requirements, the original non-adaptive version of network coding fails to support some of the network and user QoS requirements. This work explores the QoS requirements of WBSNs in both perspectives of QoS. Based on these requirements, this paper proposes an adaptive network coding-based, QoS-aware error recovery mechanism for WBSNs. It utilizes network-level and user-/application-level information to make it adaptive in both contexts. Thus, it provides improved QoS support adaptively in terms of reliability, energy efficiency and delay. Simulation results show the potential of the proposed mechanism in terms of adaptability, reliability, real-time data delivery and network lifetime compared to its counterparts.

  10. Practical robotic self-awareness and self-knowledge

    NASA Astrophysics Data System (ADS)

    Gage, Douglas W.

    2011-05-01

    The functional software components of an autonomous robotic system express behavior via commands to its actuators, based on processed inputs from its sensors; we propose an additional set of "cognitive" capabilities for robotic systems of all types, based on the comprehensive logging of all available data, including sensor inputs, behavioral states, and outputs sent to actuators. A robot should maintain a "sense" of its own (piecewise) continuous existence through time and space; it should in some sense "get a life," providing a level of self-awareness and self-knowledge. Self-awareness includes the ability to survive and work through unexpected power glitches while executing a task or mission. Selfknowledge includes an extensive world model including a model of self and the purpose context in which it is operating (deontics). Our system must support proactive self-test, monitoring, and calibration, and maintain a "personal" health/repair history, supporting system test and evaluation by continuously measuring performance throughout the entire product lifecycle. It will include episodic memory, and a system "lifelog," and will also participate in multiple modes of Human Robotic interaction (HRI).

  11. Adaptive awareness for personal and small group decision making.

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Perano, Kenneth J.; Tucker, Steve; Pancerella, Carmen M.

    2003-12-01

    Many situations call for the use of sensors monitoring physiological and environmental data. In order to use the large amounts of sensor data to affect decision making, we are coupling heterogeneous sensors with small, light-weight processors, other powerful computers, wireless communications, and embedded intelligent software. The result is an adaptive awareness and warning tool, which provides both situation awareness and personal awareness to individuals and teams. Central to this tool is a sensor-independent architecture, which combines both software agents and a reusable core software framework that manages the available hardware resources and provides services to the agents. Agents can recognizemore » cues from the data, warn humans about situations, and act as decision-making aids. Within the agents, self-organizing maps (SOMs) are used to process physiological data in order to provide personal awareness. We have employed a novel clustering algorithm to train the SOM to discern individual body states and activities. This awareness tool has broad applicability to emergency teams, military squads, military medics, individual exercise and fitness monitoring, health monitoring for sick and elderly persons, and environmental monitoring in public places. This report discusses our hardware decisions, software framework, and a pilot awareness tool, which has been developed at Sandia National Laboratories.« less

  12. Self-reflection and set-shifting mediate awareness in cognitively preserved schizophrenia patients.

    PubMed

    Gilleen, James; David, Anthony; Greenwood, Kathryn

    2016-05-01

    Poor insight in schizophrenia has been linked to poor cognitive functioning, psychological processes such as denial, or more recently with impaired metacognitive capacity. Few studies, however, have investigated the potential co-dependency of multiple factors in determining level of insight, but such a model is necessary in order to account for patients with good cognitive functioning who have very poor awareness. As evidence suggests that set-shifting and cognitive insight (self-reflection (SR) and self-certainty) are strong predictors of awareness we proposed that these factors are key mediators in the relationship between cognition and awareness. We hypothesised that deficits specifically in SR and set-shifting determine level of awareness in the context of good cognition. Thirty schizophrenia patients were stratified by high and low awareness of illness and executive functioning scores. Cognitive insight, cognition, mood and symptom measures were compared between sub-groups. A low insight/high executive functioning (LI-HE) group, a high insight/high executive functioning (HI-HE) group and a low insight/low executive functioning (LI-LE) group were revealed. As anticipated, the LI-HE patients showed significantly lower capacity for SR and set-shifting than the HI-HE patients. This study indicates that good cognitive functioning is necessary but not sufficient for good awareness; good awareness specifically demands preserved capacity to self-reflect and shift-set. Results support Nelson and Narens' [1990. Metamemory: A theoretical framework and new findings. The Psychology of Learning and Motivation, 26, 125-173] model of metacognition by which awareness is founded on control (set-shifting) and monitoring (SR) processes. These specific factors could be targeted to improve insight in patients with otherwise unimpaired cognitive function.

  13. Pedagogically Aware Academics' Conceptions of Change Agency in the Fields of Science and Technology

    ERIC Educational Resources Information Center

    Clavert, Maria; Löfström, Erika; Nevgi, Anne

    2015-01-01

    Pedagogical transformations in universities are typically explored as "top down" attempts or in the context of training programs targeted towards educating more pedagogically aware individuals. In this study, promoting pedagogical development is explored on a community level as change agency: acting as a broker between the…

  14. Re-construction of action awareness depends on an internal model of action-outcome timing.

    PubMed

    Stenner, Max-Philipp; Bauer, Markus; Machts, Judith; Heinze, Hans-Jochen; Haggard, Patrick; Dolan, Raymond J

    2014-04-01

    The subjective time of an instrumental action is shifted towards its outcome. This temporal binding effect is partially retrospective, i.e., occurs upon outcome perception. Retrospective binding is thought to reflect post-hoc inference on agency based on sensory evidence of the action - outcome association. However, many previous binding paradigms cannot exclude the possibility that retrospective binding results from bottom-up interference of sensory outcome processing with action awareness and is functionally unrelated to the processing of the action - outcome association. Here, we keep bottom-up interference constant and use a contextual manipulation instead. We demonstrate a shift of subjective action time by its outcome in a context of variable outcome timing. Crucially, this shift is absent when there is no such variability. Thus, retrospective action binding reflects a context-dependent, model-based phenomenon. Such top-down re-construction of action awareness seems to bias agency attribution when outcome predictability is low. Copyright © 2014 The Authors. Published by Elsevier Inc. All rights reserved.

  15. Re-construction of action awareness depends on an internal model of action-outcome timing

    PubMed Central

    Stenner, Max-Philipp; Bauer, Markus; Machts, Judith; Heinze, Hans-Jochen; Haggard, Patrick; Dolan, Raymond J.

    2014-01-01

    The subjective time of an instrumental action is shifted towards its outcome. This temporal binding effect is partially retrospective, i.e., occurs upon outcome perception. Retrospective binding is thought to reflect post-hoc inference on agency based on sensory evidence of the action – outcome association. However, many previous binding paradigms cannot exclude the possibility that retrospective binding results from bottom-up interference of sensory outcome processing with action awareness and is functionally unrelated to the processing of the action – outcome association. Here, we keep bottom-up interference constant and use a contextual manipulation instead. We demonstrate a shift of subjective action time by its outcome in a context of variable outcome timing. Crucially, this shift is absent when there is no such variability. Thus, retrospective action binding reflects a context-dependent, model-based phenomenon. Such top-down re-construction of action awareness seems to bias agency attribution when outcome predictability is low. PMID:24555983

  16. Awareness, persuasion, and adoption: Enriching the Bass model

    NASA Astrophysics Data System (ADS)

    Colapinto, Cinzia; Sartori, Elena; Tolotti, Marco

    2014-02-01

    In the context of diffusion of innovations, we propose a probabilistic model based on interacting populations connected through new communication channels. The potential adopters are heterogeneous in the connectivity levels and in their taste for innovation. The proposed framework can model the different stages of the adoption dynamics. In particular, the adoption curve is the result of a micro-founded decision process following the awareness phase. Eventually, we recover stylized facts pointed out by the extant literature in the field, such as delayed adoptions and non-monotonic adoption curves.

  17. Correlates of HIV-status awareness among adults in Nairobi slum areas.

    PubMed

    Ettarh, Remare Renner; Kimani, James; Kyobutungi, Catherine; Wekesah, Frederick

    2012-12-01

    The prevalence of HIV in the adult population in slum areas in Nairobi, Kenya, is higher than for residents in the city as a whole. This disparity suggests that the characteristics of slum areas may adversely influence the HIV-prevention strategies directed at reducing the national prevalence of HIV. The objective of the study was to identify some of the sociodemographic and behavioural correlates of HIV-status awareness among the adult population of two slums in Nairobi. In a household-based survey conducted by the African Population and Health Research Center (APHRC), 4 767 men and women aged between 15 and 54 years were randomly sampled from two slums (Korogocho and Viwandani) in Nairobi and data were collected on the social and health context of HIV and AIDS in these settlements. Bivariate and multivariate logistic regression analyses were conducted to identify factors associated with HIV-status awareness. The proportion of respondents that had ever been tested and knew their HIV status was 53%, with the women having greater awareness of their HIV status (62%) than the men (38%). Awareness of HIV status was significantly associated with age, sex, level of education, marital status and slum of residence. The lower level of HIV-status awareness among the men compared with the women in the slums suggests a poor uptake of HIV-testing services by males. Innovative strategies are needed to ensure greater access and uptake of HIV-testing services by the younger and less-educated residents of these slums if the barriers to HIV-status awareness are to be overcome.

  18. Application of the Multicontextual Approach in Promoting Learning and Transfer of Strategy Use in an Individual with TBI and Executive Dysfunction.

    PubMed

    Toglia, Joan; Goverover, Yael; Johnston, Mark V; Dain, Barry

    2011-01-01

    The multicontext approach addresses strategy use and self-monitoring skills within activities and contexts that are systematically varied to facilitate transfer of learning. This article illustrates the application of the multicontext approach by presenting a case study of an adult who is 5 years post-traumatic brain injury with executive dysfunction and limited awareness. A single case study design with repeated pre-post measures was used. Methods to monitor strategy generation and specific awareness within intervention are described. Findings suggest improved functional performance and generalization of use of an external strategy despite absence of changes in general self-awareness of deficits. This case describes the multicontext intervention process and provides clinical suggestions for working with individuals with serious deficits in awareness and executive dysfunction following traumatic brain injury. Copyright 2011, SLACK Incorporated.

  19. Implicit Learning of Recursive Context-Free Grammars

    PubMed Central

    Rohrmeier, Martin; Fu, Qiufang; Dienes, Zoltan

    2012-01-01

    Context-free grammars are fundamental for the description of linguistic syntax. However, most artificial grammar learning experiments have explored learning of simpler finite-state grammars, while studies exploring context-free grammars have not assessed awareness and implicitness. This paper explores the implicit learning of context-free grammars employing features of hierarchical organization, recursive embedding and long-distance dependencies. The grammars also featured the distinction between left- and right-branching structures, as well as between centre- and tail-embedding, both distinctions found in natural languages. People acquired unconscious knowledge of relations between grammatical classes even for dependencies over long distances, in ways that went beyond learning simpler relations (e.g. n-grams) between individual words. The structural distinctions drawn from linguistics also proved important as performance was greater for tail-embedding than centre-embedding structures. The results suggest the plausibility of implicit learning of complex context-free structures, which model some features of natural languages. They support the relevance of artificial grammar learning for probing mechanisms of language learning and challenge existing theories and computational models of implicit learning. PMID:23094021

  20. Political and news media factors shaping public awareness of the HPV vaccine.

    PubMed

    Gollust, Sarah E; Attanasio, Laura; Dempsey, Amanda; Benson, Allison M; Fowler, Erika Franklin

    2013-01-01

    In 2006, the U.S. Food and Drug Administration licensed a vaccine for the human papillomavirus (HPV) that prevents the strains of HPV that cause 70% of cervical cancers. Within months, many states introduced legislation requiring the vaccine for girls, prompting controversy and heightened political and media attention to the issue. Previous research has shown differences in HPV vaccine awareness by individual-level characteristics such as race/ethnicity, income, and education levels. We examined how individual political orientation and exposure to media coverage can also shape awareness of the vaccine. Using data from a 2009 Internet survey of 1,216 nationally representative adult respondents linked to data on state-specific news coverage, we assessed how political orientation, media exposure, and state political context predicted HPV vaccine awareness. Younger people, women, and those with more education were significantly more likely to be aware of the vaccine. Even after controlling for these characteristics, we found that exposure to news media was associated with higher HPV vaccine awareness. Whereas liberals and conservatives were both more aware of the vaccine compared with moderates, the data are suggestive that liberals were more sensitive to news coverage. These findings suggest that individual-level political identities and their interaction with the informational environment may be important factors to consider in evaluating the determinants of individuals' attitudes and behaviors related to politically charged women's health issues. Copyright © 2013 Jacobs Institute of Women's Health. Published by Elsevier Inc. All rights reserved.

  1. Teacher Wellbeing in Neoliberal Contexts: A Review of the Literature

    ERIC Educational Resources Information Center

    Acton, Renae; Glasgow, Patti

    2015-01-01

    There is an increasing awareness that the wellbeing of a workforce is an important consideration in any organisation. Within the context of education, possibilities for supporting teacher wellbeing are mediated by neoliberal policy technologies that are incongruent with key aspects of wellness. Reviewing the literature, it appears there is value…

  2. Sometimes Less is More: Multi-Perspective Exploration of Disclosure Abstractions in Location-Aware Social Mobile Applications

    DTIC Science & Technology

    2010-12-01

    help remind me that there is indeed a light at the end of the tunnel . I am also eternally grateful for her persistence in finding the answers to...skyhookwireless.com/locationapps/ Skyhook Wireless. (2009a). Location Aware App Report: Review of Location-Aware Apps from the Apple, Blackberry ...Report: Review of Location-Aware Apps from the Iphone, Blackberry and Android App Stores (Report, http://www.locationrevolution.com/stats

  3. Improving Preservice Teachers' Phonemic Awareness, Morphological Awareness and Orthographic Knowledge

    ERIC Educational Resources Information Center

    McNeill, Brigid C.

    2018-01-01

    Few studies have examined the effectiveness of methods to develop preservice teachers' phonemic, morphological and orthographic awareness for spelling instruction. Preservice teachers (n = 86) participated in 10 hours of metalinguistic coursework. The coursework focused on: phonological awareness, orthographic awareness, morphological awareness…

  4. ?Ffects of Using of Contemporary Art in High Education on Students Metacognitive Awareness

    ERIC Educational Resources Information Center

    Delibaltova, Vasya

    2016-01-01

    The aim of this study was to determine the effects of the use of contemporary art in High Education on Students' Metacognitive Awareness from students' point of view after their involvement in specially designed activities. The learning context was created under the main thesis that metacognitive development can be supported by the creation of…

  5. Exploring the Listening Process to Inform the Development of Strategy Awareness-Raising Materials

    ERIC Educational Resources Information Center

    Blanco, Maria; Guisado, Juan J.

    2012-01-01

    This article reports on a small-scale qualitative study aimed at exploring the listening process in a group of Spanish beginners in a UK higher education context. The specific aim of the study was to inform the development of materials for listening strategy awareness-raising activities. The exploration was focused on identifying (a) strategies…

  6. Supporting awareness through collaborative brushing and linking of tabular data.

    PubMed

    Hajizadeh, Amir Hossein; Tory, Melanie; Leung, Rock

    2013-12-01

    Maintaining an awareness of collaborators' actions is critical during collaborative work, including during collaborative visualization activities. Particularly when collaborators are located at a distance, it is important to know what everyone is working on in order to avoid duplication of effort, share relevant results in a timely manner and build upon each other's results. Can a person's brushing actions provide an indication of their queries and interests in a data set? Can these actions be revealed to a collaborator without substantially disrupting their own independent work? We designed a study to answer these questions in the context of distributed collaborative visualization of tabular data. Participants in our study worked independently to answer questions about a tabular data set, while simultaneously viewing brushing actions of a fictitious collaborator, shown directly within a shared workspace. We compared three methods of presenting the collaborator's actions: brushing & linking (i.e. highlighting exactly what the collaborator would see), selection (i.e. showing only a selected item), and persistent selection (i.e. showing only selected items but having them persist for some time). Our results demonstrated that persistent selection enabled some awareness of the collaborator's activities while causing minimal interference with independent work. Other techniques were less effective at providing awareness, and brushing & linking caused substantial interference. These findings suggest promise for the idea of exploiting natural brushing actions to provide awareness in collaborative work.

  7. The Impact of Feedback on Phonological Awareness Development

    ERIC Educational Resources Information Center

    Kazakou, Maria N.; Soulis, Spyros

    2014-01-01

    The utilization of Information and Communication Technologies (ICT) in educational practice is indispensable, while it becomes imperative in the education of individuals with special educational needs, as it promotes the application of Individualized Education Programs. Feedback in digital activities aiming at phonological awareness development is…

  8. Dual-Use system architecture for a space situational awareness system in Japan

    NASA Astrophysics Data System (ADS)

    Otani, Y.; Kohtake, N.; Ohkami, Y.

    The use of outer space plays a vital role in both defense and civil fields. Since the separation of space activities between civil and defense applications is extremely inefficient, the Dual-Use concept has been considered fundamental for promoting the effective use of space. To the best of the authors' knowledge, most previous studies on Dual-Use focused on the technological aspects, and very few on a system engineering approach to Dual-Use. This left some important issues untouched such as the operational aspects of a system of systems, which need to be understood in a more generic context. This paper presents the results of a conceptual study, system design and management analysis of Dual-Use system architecture. First, an outline of the Dual-Use concept will be described and a definition of Dual-Use given. The effectiveness of applying the Dual-Use system concept to Space Situational Awareness (SSA) for both defense and civil users as a system of systems will then be discussed and investigated with a stakeholders analysis, context diagram and design structure matrix method. It has demonstrated that there is a need for a Dual-Use SSA Data Center which works as a binder between defense and civil systems as well as a data policy for constructing a Dual-Use SSA system.

  9. Applications and issues of GIS as tool for civil engineering modeling

    USGS Publications Warehouse

    Miles, S.B.; Ho, C.L.

    1999-01-01

    A tool that has proliferated within civil engineering in recent years is geographic information systems (GIS). The goal of a tool is to supplement ability and knowledge that already exists, not to serve as a replacement for that which is lacking. To secure the benefits and avoid misuse of a burgeoning tool, engineers must understand the limitations, alternatives, and context of the tool. The common benefits of using GIS as a supplement to engineering modeling are summarized. Several brief case studies of GIS modeling applications are taken from popular civil engineering literature to demonstrate the wide use and varied implementation of GIS across the discipline. Drawing from the case studies, limitations regarding traditional GIS data models find the implementation of civil engineering models within current GIS are identified and countered by discussing the direction of the next generation of GIS. The paper concludes by highlighting the potential for the misuse of GIS in the context of engineering modeling and suggests that this potential can be reduced through education and awareness. The goal of this paper is to promote awareness of the issues related to GIS-based modeling and to assist in the formulation of questions regarding the application of current GIS. The technology has experienced much publicity of late, with many engineers being perhaps too excited about the usefulness of current GIS. An undoubtedly beneficial side effect of this, however, is that engineers are becoming more aware of GIS and, hopefully, the associated subtleties. Civil engineers must stay informed of GIS issues and progress, but more importantly, civil engineers must inform the GIS community to direct the technology development optimally.

  10. Measuring brand awareness as a component of eating habits in Indian children: the development of the IBAI questionnaire.

    PubMed

    Vecchio, Maria Gabriella; Ghidina, Marco; Gulati, Achal; Berchialla, Paola; Paramesh, Elizabeth Cherian; Gregori, Dario

    2014-09-01

    To develop an instrument that allows one to estimate the Indian children's brand awareness of alimentary products. The IBAI (International Brand Awareness Instrument), an age specific tool composed of 12 sheets with images reporting brand logos of alimentary products, has been adjusted for the Indian context in order to investigate on infants' cognitive skills of recalling and recognizing. The IBAI was piloted in a sample of 100 children aged from 3 to 10 y and enrolled in New Delhi schools. Children aged 7-10 y showed an higher brand awareness as compared to those of 3-6 y. The IBAI instrument may be a component for further analysis of the influence of food marketing on child's diet, foods' choices and preferences within the Indian social and cultural macro-context. Findings suggest that children over 6 y are particularly gullible by brands and TV promoted advertising. Prevention through information should, therefore be offered to school aged children and their parents, involving teachers, nutritionists and experts in developmental psychology also.

  11. Awareness and Using of Medical Students About Mobile Health Technology in Clinical Areas

    PubMed Central

    Ehteshami, Asghar; Hachesu, Peyman Rezaei; Esfahani, Mahtab Kasayi

    2013-01-01

    CONFLICT OF INTEREST: NONE DECLARED Introduction Necessity of data transmission and getting contact with specialists is so evident in impassable regions. In order to solve such problems, there are different solutions one of which is mobile health technology. Being small and user-friendly, easy to enter data and having low expense are some of its advantages. This study aims to define the association between awareness of medical students in clinical stage about mobile health technology application and the rate of their using this technology in educational hospital of Isfahan in 2011. Method The study is a cross-sectional analytical application research. Sixty medical students were selected as samples from a society of 240 medical students. A researcher-made questionnaire was used. The questionnaire included 21 multiple choice and 15 yes no questions, which were corrected to reach a score. A researcher-made checklist with 5-fold Likert scale was used to define the rate of applying such technology. The reliability of questionnaire was confirmed through a test–retest. The collected data were analyzed with the help of SPSS software in descriptive and deductive statistics level. Findings The highest percentage of awareness about mobile health technology among medical students in the clinical stage of Azzahra educational hospital is 45.6 in nature areas, and their lowest percentage of awareness is 17.8 in the infrastructure area. In addition, their mean awareness of all areas is 54.4. The highest percentage of using mobile health technology by medical students is 14.6 in the education area, and their lowest percentage of usage is 6.8 in the treatment area. Their mean usage of all areas is 9.4 as well. Conclusion The rate of awareness and application of mobile health technology is not favorable. Except for treatment, there is no significant association between the rate of awareness and application of mobile health technology. PMID:24058250

  12. Conscious awareness is required for holistic face processing.

    PubMed

    Axelrod, Vadim; Rees, Geraint

    2014-07-01

    Investigating the limits of unconscious processing is essential to understand the function of consciousness. Here, we explored whether holistic face processing, a mechanism believed to be important for face processing in general, can be accomplished unconsciously. Using a novel "eyes-face" stimulus we tested whether discrimination of pairs of eyes was influenced by the surrounding face context. While the eyes were fully visible, the faces that provided context could be rendered invisible through continuous flash suppression. Two experiments with three different sets of face stimuli and a subliminal learning procedure converged to show that invisible faces did not influence perception of visible eyes. In contrast, surrounding faces, when they were clearly visible, strongly influenced perception of the eyes. Thus, we conclude that conscious awareness might be a prerequisite for holistic face processing. Copyright © 2014 The Authors. Published by Elsevier Inc. All rights reserved.

  13. The Role of Social Context in Gifted and Talented Education.

    ERIC Educational Resources Information Center

    Fetterman, David

    1999-01-01

    The dichotomy between individualism and conformity, the myth that gifted children will make it on their own, and the fallacy of equating equal opportunity with equal potential, ability, and results has fostered a climate in which simplistic thinking, ambivalence, and neglect is prevalent. Awareness of this larger social context can allow for new…

  14. Awareness of BIM adoption in Brunei

    NASA Astrophysics Data System (ADS)

    Rahman, Md Motiar

    2017-09-01

    Building Information Modelling (BIM) is getting increased attention day-by-day due to its many benefits, including clash detection, collaboration between contract parties, visualization future structure, optimized schedule and project control, waste control, design documentation, and harmonized facilities management. As such, many countries have already adopted BIM, and many other countries are exploring the potential of adopting it. However, it is still relatively new and unknown to some other countries like Brunei. This study was therefore undertaken to generate and/or gauge the awareness of Brunei construction industry participants, targeting adoption of BIM, through a structured questionnaire survey. Responses from 90 industry participants reveal that Brunei Construction industry is not well aware of BIM, lack the required technical knowledge and application in construction, and cost involvement. They are unsure about the potential benefits and barriers to implementing BIM. However, respondents are hopeful that BIM can bring the required changes in construction, willing to adopt BIM, expects cliental support with initial investment for its adoption, and believe that BIM is the future of construction project information management. On the whole, private sector was seen to be more aware on BIM than public sector. The study outcomes are expected to provide the policy makers a first-hand information on the industry awareness on BIM, which in turn help them for further exploration / examination and to design any action plan and guidelines for BIM adoption.

  15. Development and Evaluation of Game-Like Phonological Awareness Software for Kindergarteners: "JerenAli"

    ERIC Educational Resources Information Center

    Kartal, Günizi; Terziyan, Treysi

    2016-01-01

    The major goal of this study was to develop a game-like software application for phonological awareness training and to evaluate its role in improving phonological awareness skills at the kindergarten level, with the intention to eventually help reading acquisition in Turkish. The participants of the study came from two kindergarten classrooms in…

  16. Promoting Critical Awareness in the Initial Training of Preschool Teachers in Greece: Resistance and Perspectives

    ERIC Educational Resources Information Center

    Kourti, Evangelia; Androussou, Alexandra

    2013-01-01

    This article focuses on the development of future preschool teachers' critical awareness through the introduction of two "new" subjects--intercultural education and media education--in the curriculum of an early childhood department in Greece. The current social and political context, the structure of preschool teachers' training in…

  17. Positional Awareness Map 3D (PAM3D)

    NASA Technical Reports Server (NTRS)

    Hoffman, Monica; Allen, Earl L.; Yount, John W.; Norcross, April Louise

    2012-01-01

    The Western Aeronautical Test Range of the National Aeronautics and Space Administration s Dryden Flight Research Center needed to address the aging software and hardware of its current situational awareness display application, the Global Real-Time Interactive Map (GRIM). GRIM was initially developed in the late 1980s and executes on older PC architectures using a Linux operating system that is no longer supported. Additionally, the software is difficult to maintain due to its complexity and loss of developer knowledge. It was decided that a replacement application must be developed or acquired in the near future. The replacement must provide the functionality of the original system, the ability to monitor test flight vehicles in real-time, and add improvements such as high resolution imagery and true 3-dimensional capability. This paper will discuss the process of determining the best approach to replace GRIM, and the functionality and capabilities of the first release of the Positional Awareness Map 3D.

  18. Mobile Augmented Communication for Remote Collaboration in a Physical Work Context

    ERIC Educational Resources Information Center

    Pejoska-Laajola, Jana; Reponen, Sanna; Virnes, Marjo; Leinonen, Teemu

    2017-01-01

    Informal learning in a physical work context requires communication and collaboration that build on a common ground and an active awareness of a situation. We explored whether mobile video conversations augmented with on-screen drawing features were beneficial for improving communication and remote collaboration practices in the construction and…

  19. "He Is Intelligent but Different": Stakeholders' Perspectives on Children on the Autism Spectrum in an Urban Indian School Context

    ERIC Educational Resources Information Center

    Taneja Johansson, Shruti

    2014-01-01

    This article explores stakeholders' awareness of autism and their perspectives on children with autism, in an urban Indian school context. Using an interpretive framework, the article draws on interview data from a study conducted in Kolkata. Findings indicated varying but limited awareness of autism among school staff. Teachers instead described…

  20. Online updating of context-aware landmark detectors for prostate localization in daily treatment CT images

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Dai, Xiubin; Gao, Yaozong; Shen, Dinggang, E-mail: dgshen@med.unc.edu

    2015-05-15

    Purpose: In image guided radiation therapy, it is crucial to fast and accurately localize the prostate in the daily treatment images. To this end, the authors propose an online update scheme for landmark-guided prostate segmentation, which can fully exploit valuable patient-specific information contained in the previous treatment images and can achieve improved performance in landmark detection and prostate segmentation. Methods: To localize the prostate in the daily treatment images, the authors first automatically detect six anatomical landmarks on the prostate boundary by adopting a context-aware landmark detection method. Specifically, in this method, a two-layer regression forest is trained as amore » detector for each target landmark. Once all the newly detected landmarks from new treatment images are reviewed or adjusted (if necessary) by clinicians, they are further included into the training pool as new patient-specific information to update all the two-layer regression forests for the next treatment day. As more and more treatment images of the current patient are acquired, the two-layer regression forests can be continually updated by incorporating the patient-specific information into the training procedure. After all target landmarks are detected, a multiatlas random sample consensus (multiatlas RANSAC) method is used to segment the entire prostate by fusing multiple previously segmented prostates of the current patient after they are aligned to the current treatment image. Subsequently, the segmented prostate of the current treatment image is again reviewed (or even adjusted if needed) by clinicians before including it as a new shape example into the prostate shape dataset for helping localize the entire prostate in the next treatment image. Results: The experimental results on 330 images of 24 patients show the effectiveness of the authors’ proposed online update scheme in improving the accuracies of both landmark detection and prostate

  1. Joint modality fusion and temporal context exploitation for semantic video analysis

    NASA Astrophysics Data System (ADS)

    Papadopoulos, Georgios Th; Mezaris, Vasileios; Kompatsiaris, Ioannis; Strintzis, Michael G.

    2011-12-01

    In this paper, a multi-modal context-aware approach to semantic video analysis is presented. Overall, the examined video sequence is initially segmented into shots and for every resulting shot appropriate color, motion and audio features are extracted. Then, Hidden Markov Models (HMMs) are employed for performing an initial association of each shot with the semantic classes that are of interest separately for each modality. Subsequently, a graphical modeling-based approach is proposed for jointly performing modality fusion and temporal context exploitation. Novelties of this work include the combined use of contextual information and multi-modal fusion, and the development of a new representation for providing motion distribution information to HMMs. Specifically, an integrated Bayesian Network is introduced for simultaneously performing information fusion of the individual modality analysis results and exploitation of temporal context, contrary to the usual practice of performing each task separately. Contextual information is in the form of temporal relations among the supported classes. Additionally, a new computationally efficient method for providing motion energy distribution-related information to HMMs, which supports the incorporation of motion characteristics from previous frames to the currently examined one, is presented. The final outcome of this overall video analysis framework is the association of a semantic class with every shot. Experimental results as well as comparative evaluation from the application of the proposed approach to four datasets belonging to the domains of tennis, news and volleyball broadcast video are presented.

  2. Exploring the Notion of Context in Medical Data.

    PubMed

    Mylonas, Phivos

    2017-01-01

    Scientific and technological knowledge and skills are becoming crucial for most data analysis activities. Two rather distinct, but at the same time collaborating, domains are the ones of computer science and medicine; the former offers significant aid towards a more efficient understanding of the latter's research trends. Still, the process of meaningfully analyzing and understanding medical information and data is a tedious one, bound to several challenges. One of them is the efficient utilization of contextual information in the process leading to optimized, context-aware data analysis results. Nowadays, researchers are provided with tools and opportunities to analytically study medical data, but at the same time significant and rather complex computational challenges are yet to be tackled, among others due to the humanistic nature and increased rate of new content and information production imposed by related hardware and applications. So, the ultimate goal of this position paper is to provide interested parties an overview of major contextual information types to be identified within the medical data processing framework.

  3. Programming models for energy-aware systems

    NASA Astrophysics Data System (ADS)

    Zhu, Haitao

    Energy efficiency is an important goal of modern computing, with direct impact on system operational cost, reliability, usability and environmental sustainability. This dissertation describes the design and implementation of two innovative programming languages for constructing energy-aware systems. First, it introduces ET, a strongly typed programming language to promote and facilitate energy-aware programming, with a novel type system design called Energy Types. Energy Types is built upon a key insight into today's energy-efficient systems and applications: despite the popular perception that energy and power can only be described in joules and watts, real-world energy management is often based on discrete phases and modes, which in turn can be reasoned about by type systems very effectively. A phase characterizes a distinct pattern of program workload, and a mode represents an energy state the program is expected to execute in. Energy Types is designed to reason about energy phases and energy modes, bringing programmers into the optimization of energy management. Second, the dissertation develops Eco, an energy-aware programming language centering around sustainability. A sustainable program built from Eco is able to adaptively adjusts its own behaviors to stay on a given energy budget, avoiding both deficit that would lead to battery drain or CPU overheating, and surplus that could have been used to improve the quality of the program output. Sustainability is viewed as a form of supply and demand matching, and a sustainable program consistently maintains the equilibrium between supply and demand. ET is implemented as a prototyped compiler for smartphone programming on Android, and Eco is implemented as a minimal extension to Java. Programming practices and benchmarking experiments in these two new languages showed that ET can lead to significant energy savings for Android Apps and Eco can efficiently promote battery awareness and temperature awareness in real

  4. NEWS: Science awareness

    NASA Astrophysics Data System (ADS)

    1999-05-01

    The Particle Physics and Astronomy Research Council's award scheme in the public understanding of science and technology for 1999 is currently under way and the first closing date has already passed. The second date for the receipt of applications for the Small Awards scheme is 10 October (open to anyone), with awards ranging from £250 up to the maximum of £10 000 per project. The funding can be used for materials, salaries, travel and subsistence, and there may be a slight preference towards projects involving young people and schools. Subject areas must be those relevant to PPARC: particle physics; space, ionospheric, solar and planetary science; astronomy, astrophysics and cosmology. Application documentation can be obtained from PUST Office Room 2232, PPARC, Polaris House, North Star Avenue, Swindon SN2 1SZ (tel: 01793 442002, e-mail: pr_pus@pparc.ac.uk and website http://www.pparc.ac.uk/role/notes.html). And whilst on this same theme, the deadline is fast approaching for a new Institute of Physics scheme intended to recognize work on increasing awareness of the exciting nature of physics and its relevance and impact on everyday life. The Public Awareness of Physics awards will recognize individuals and groups who have demonstrated excellence, inspiration and innovation in bringing physics to the public and assist in raising the status of this kind of activity. There are no restrictions on eligibility and nominees do not have to be members of the Institute of Physics, physicists or physics trained. Nominations may be made by anyone, with up to five awards to be given annually. Further details, nomination guidelines and forms are available from Katie Perry, Public Affairs Department, Institute of Physics, 76 Portland Place, London W1N 3DN (tel: 0171 470 4800, e-mail: katie.perry@iop.org).

  5. Unified Lambert Tool for Massively Parallel Applications in Space Situational Awareness

    NASA Astrophysics Data System (ADS)

    Woollands, Robyn M.; Read, Julie; Hernandez, Kevin; Probe, Austin; Junkins, John L.

    2018-03-01

    Awareness computer cluster at the LASR Lab, Texas A&M University. We demonstrate the power of our tool by solving a highly parallel example problem, that is the generation of extremal field maps for optimal spacecraft rendezvous (and eventual orbit debris removal). In addition we demonstrate the need for including perturbative effects in simulations for satellite tracking or data association. The unified Lambert tool is ideal for but not limited to space situational awareness applications.

  6. Application of the JDL data fusion process model for cyber security

    NASA Astrophysics Data System (ADS)

    Giacobe, Nicklaus A.

    2010-04-01

    A number of cyber security technologies have proposed the use of data fusion to enhance the defensive capabilities of the network and aid in the development of situational awareness for the security analyst. While there have been advances in fusion technologies and the application of fusion in intrusion detection systems (IDSs), in particular, additional progress can be made by gaining a better understanding of a variety of data fusion processes and applying them to the cyber security application domain. This research explores the underlying processes identified in the Joint Directors of Laboratories (JDL) data fusion process model and further describes them in a cyber security context.

  7. Morphological Awareness Intervention in School-Age Children with Language and Literacy Deficits: A Case Study

    ERIC Educational Resources Information Center

    Wolter, Julie A.; Green, Laura

    2013-01-01

    This article highlights the clinical application of morphological awareness intervention to facilitate phonological, vocabulary, reading, and spelling success in children with language and literacy deficits. First, the research-based benefits of morphological awareness instruction are reviewed and current theoretical and research-based…

  8. Awareness of Authorship Criteria and Conflict: Survey in a Medical Institution in India

    PubMed Central

    Dhaliwal, Upreet; Singh, Navjeevan; Bhatia, Arati

    2006-01-01

    Context Assignment of appropriate authorship on a scientific paper is important for researchers and the public; inappropriate authorship may generate conflict. Objectives To determine the extent of: (a) awareness of criteria for authorship and acknowledgment among researchers in a medical institution, (b) conflict concerning authorship issues in the research environment, and (c) their interrelationship. Design and Setting A questionnaire self-administered by the faculty in a teaching hospital in India in March 2006. Main Outcome Measures Rate and level of awareness of International Committee of Medical Journal Editors (ICMJE) Uniform Requirements for Manuscripts Submitted to Biomedical Journals, or other rate and level of awareness of international published authorship criteria; rate and type of authorship conflict. Results Ninety-five teaching faculty were contacted; 77 responded. Fifty respondents (65%) reported that they were aware that authorship criteria existed, but only 34 (44%) correctly identified a source. Overall, 30 (39%) respondents reported conflict over authorship issues relating mainly to ownership of data, gift authorship, and issues like academic competition, personality differences, intellectual passion, or order of authorship. There was no difference between number of authorship criteria correctly identified by respondents who reported conflict compared with those who did not (P = .78). Conclusions There was poor awareness of criteria for authorship and acknowledgement among the faculty in research publications. Conflict over authorship issues existed in the research environment, but was not influenced by the level of awareness. PMID:17415332

  9. Creating a Context in the Early Childhood Classroom. Spotlight: Cosmic Education.

    ERIC Educational Resources Information Center

    Engel, Janet Wolfe

    2002-01-01

    Describes how to create a context for Cosmic Education, which develops an awareness of the interrelationships between the elements of the cosmos and the individual's place in that continuum, in the early childhood Montessori classroom. Discusses the importance of meeting the child's developmental needs, and preparing the adult teacher spiritually,…

  10. Self-Awareness and Personal Growth: Theory and Application of Bloom's Taxonomy

    ERIC Educational Resources Information Center

    Ugur, Hasan; Constantinescu, Petru-Madalin; Stevens, Michael J.

    2015-01-01

    Problem Statement: In this article, we summarize a group-based, self-development curriculum based on humanistic principles, framed by contemporary self-determination theory (SDT), and designed in accordance with Bloom's Taxonomy. The processes of awareness and integration are common to SDT and Bloom's Taxonomy, and to our knowledge, have not been…

  11. Awareness as an Enactivist Framework for the Mathematical Learning of Teachers, Mentors and Institutions

    ERIC Educational Resources Information Center

    Preciado-Babb, Armando Paulino; Metz, Martina; Marcotte, Chenoa

    2015-01-01

    This paper explores the learning of both individuals and organizations within the context of a 3-year professional development program for mathematics and science teachers in a middle school. We propose to extend the notion of awareness from individuals to autonomous systems as a means to study the learning of teachers, mentors, the school, and…

  12. [Subjectivity of nursing college students' awareness of gender equality: an application of Q-methodology].

    PubMed

    Yeun, Eun Ja; Kwon, Hye Jin; Kim, Hyun Jeong

    2012-06-01

    This study was done to identify the awareness of gender equality among nursing college students, and to provide basic data for educational solutions and desirable directions. A Q-methodology which provides a method of analyzing the subjectivity of each item was used. 34 selected Q-statements from each of 20 women nursing college students were classified into a shape of normal distribution using 9-point scale. Subjectivity on the equality among genders was analyzed by the pc-QUANL program. Four types of awareness of gender equality in nursing college students were identified. The name for type I was 'pursuit of androgyny', for type II, 'difference-recognition', for type III, 'human-relationship emphasis', and for type IV, 'social-system emphasis'. The results of this study indicate that different approaches to educational programs on gender equality are recommended for nursing college students based on the four types of gender equality awareness.

  13. Exploring the development of cultural awareness amongst post-graduate speech-language pathology students.

    PubMed

    Howells, Simone; Barton, Georgina; Westerveld, Marleen

    2016-06-01

    Speech-language pathology programs globally need to prepare graduates to work with culturally and linguistically diverse populations. This study explored the knowledge, perceptions and experiences related to development of cultural awareness of graduate-entry Master of Speech Pathology students at an Australian university. Sixty students across both year-levels completed a cultural awareness survey at the beginning of the semester. To explore how clinical placement influenced students' knowledge and perceptions, year-2 students completed written reflections pre- and post-placement (n = 7) and participated in focus groups post-placement (n = 6). Survey results showed student interest in working with culturally and linguistically diverse populations was high (over 80%) and confidence was moderate (over 50%). More than 80% of students reported awareness of their own cultural identities, stereotypes and prejudices. Content analysis of focus group and written reflection data identified key concepts comprising of: (1) context-university, and clinical placement site; (2) competencies-professional and individual; and (3) cultural implications-clients' and students' cultural backgrounds. Findings suggest clinical placement may positively influence cultural awareness development and students' own cultural backgrounds may influence this more. Further exploration of how students move along a continuum of cultural development is warranted.

  14. The Emergence of Visual Awareness: Temporal Dynamics in Relation to Task and Mask Type

    PubMed Central

    Kiefer, Markus; Kammer, Thomas

    2017-01-01

    One aspect of consciousness phenomena, the temporal emergence of visual awareness, has been subject of a controversial debate. How can visual awareness, that is the experiential quality of visual stimuli, be characterized best? Is there a sharp discontinuous or dichotomous transition between unaware and fully aware states, or does awareness emerge gradually encompassing intermediate states? Previous studies yielded conflicting results and supported both dichotomous and gradual views. It is well conceivable that these conflicting results are more than noise, but reflect the dynamic nature of the temporal emergence of visual awareness. Using a psychophysical approach, the present research tested whether the emergence of visual awareness is context-dependent with a temporal two-alternative forced choice task. During backward masking of word targets, it was assessed whether the relative temporal sequence of stimulus thresholds is modulated by the task (stimulus presence, letter case, lexical decision, and semantic category) and by mask type. Four masks with different similarity to the target features were created. Psychophysical functions were then fitted to the accuracy data in the different task conditions as a function of the stimulus mask SOA in order to determine the inflection point (conscious threshold of each feature) and slope of the psychophysical function (transition from unaware to aware within each feature). Depending on feature-mask similarity, thresholds in the different tasks were highly dispersed suggesting a graded transition from unawareness to awareness or had less differentiated thresholds indicating that clusters of features probed by the tasks quite simultaneously contribute to the percept. The latter observation, although not compatible with the notion of a sharp all-or-none transition between unaware and aware states, suggests a less gradual or more discontinuous emergence of awareness. Analyses of slopes of the fitted psychophysical functions

  15. A principled approach to the measurement of situation awareness in commercial aviation

    NASA Technical Reports Server (NTRS)

    Tenney, Yvette J.; Adams, Marilyn Jager; Pew, Richard W.; Huggins, A. W. F.; Rogers, William H.

    1992-01-01

    The issue of how to support situation awareness among crews of modern commercial aircraft is becoming especially important with the introduction of automation in the form of sophisticated flight management computers and expert systems designed to assist the crew. In this paper, cognitive theories are discussed that have relevance for the definition and measurement of situation awareness. These theories suggest that comprehension of the flow of events is an active process that is limited by the modularity of attention and memory constraints, but can be enhanced by expert knowledge and strategies. Three implications of this perspective for assessing and improving situation awareness are considered: (1) Scenario variations are proposed that tax awareness by placing demands on attention; (2) Experimental tasks and probes are described for assessing the cognitive processes that underlie situation awareness; and (3) The use of computer-based human performance models to augment the measures of situation awareness derived from performance data is explored. Finally, two potential example applications of the proposed assessment techniques are described, one concerning spatial awareness using wide field of view displays and the other emphasizing fault management in aircraft systems.

  16. Attention without awareness: Attentional modulation of perceptual grouping without awareness.

    PubMed

    Lo, Shih-Yu

    2018-04-01

    Perceptual grouping is the process through which the perceptual system combines local stimuli into a more global perceptual unit. Previous studies have shown attention to be a modulatory factor for perceptual grouping. However, these studies mainly used explicit measurements, and, thus, whether attention can modulate perceptual grouping without awareness is still relatively unexplored. To clarify the relationship between attention and perceptual grouping, the present study aims to explore how attention interacts with perceptual grouping without awareness. The task was to judge the relative lengths of two centrally presented horizontal bars while a railway-shaped pattern defined by color similarity was presented in the background. Although the observers were unaware of the railway-shaped pattern, their line-length judgment was biased by that pattern, which induced a Ponzo illusion, indicating grouping without awareness. More importantly, an attentional modulatory effect without awareness was manifested as evident by the observer's performance being more often biased when the railway-shaped pattern was formed by an attended color than when it was formed by an unattended one. Also, the attentional modulation effect was shown to be dynamic, being more pronounced with a short presentation time than a longer one. The results of the present study not only clarify the relationship between attention and perceptual grouping but also further contribute to our understanding of attention and awareness by corroborating the dissociation between attention and awareness.

  17. Harnessing context sensing to develop a mobile intervention for depression.

    PubMed

    Burns, Michelle Nicole; Begale, Mark; Duffecy, Jennifer; Gergle, Darren; Karr, Chris J; Giangrande, Emily; Mohr, David C

    2011-08-12

    Mobile phone sensors can be used to develop context-aware systems that automatically detect when patients require assistance. Mobile phones can also provide ecological momentary interventions that deliver tailored assistance during problematic situations. However, such approaches have not yet been used to treat major depressive disorder. The purpose of this study was to investigate the technical feasibility, functional reliability, and patient satisfaction with Mobilyze!, a mobile phone- and Internet-based intervention including ecological momentary intervention and context sensing. We developed a mobile phone application and supporting architecture, in which machine learning models (ie, learners) predicted patients' mood, emotions, cognitive/motivational states, activities, environmental context, and social context based on at least 38 concurrent phone sensor values (eg, global positioning system, ambient light, recent calls). The website included feedback graphs illustrating correlations between patients' self-reported states, as well as didactics and tools teaching patients behavioral activation concepts. Brief telephone calls and emails with a clinician were used to promote adherence. We enrolled 8 adults with major depressive disorder in a single-arm pilot study to receive Mobilyze! and complete clinical assessments for 8 weeks. Promising accuracy rates (60% to 91%) were achieved by learners predicting categorical contextual states (eg, location). For states rated on scales (eg, mood), predictive capability was poor. Participants were satisfied with the phone application and improved significantly on self-reported depressive symptoms (beta(week) = -.82, P < .001, per-protocol Cohen d = 3.43) and interview measures of depressive symptoms (beta(week) = -.81, P < .001, per-protocol Cohen d = 3.55). Participants also became less likely to meet criteria for major depressive disorder diagnosis (b(week) = -.65, P = .03, per-protocol remission rate = 85.71%). Comorbid

  18. Harnessing Context Sensing to Develop a Mobile Intervention for Depression

    PubMed Central

    Burns, Michelle Nicole; Begale, Mark; Duffecy, Jennifer; Gergle, Darren; Karr, Chris J; Giangrande, Emily

    2011-01-01

    Background Mobile phone sensors can be used to develop context-aware systems that automatically detect when patients require assistance. Mobile phones can also provide ecological momentary interventions that deliver tailored assistance during problematic situations. However, such approaches have not yet been used to treat major depressive disorder. Objective The purpose of this study was to investigate the technical feasibility, functional reliability, and patient satisfaction with Mobilyze!, a mobile phone- and Internet-based intervention including ecological momentary intervention and context sensing. Methods We developed a mobile phone application and supporting architecture, in which machine learning models (ie, learners) predicted patients’ mood, emotions, cognitive/motivational states, activities, environmental context, and social context based on at least 38 concurrent phone sensor values (eg, global positioning system, ambient light, recent calls). The website included feedback graphs illustrating correlations between patients’ self-reported states, as well as didactics and tools teaching patients behavioral activation concepts. Brief telephone calls and emails with a clinician were used to promote adherence. We enrolled 8 adults with major depressive disorder in a single-arm pilot study to receive Mobilyze! and complete clinical assessments for 8 weeks. Results Promising accuracy rates (60% to 91%) were achieved by learners predicting categorical contextual states (eg, location). For states rated on scales (eg, mood), predictive capability was poor. Participants were satisfied with the phone application and improved significantly on self-reported depressive symptoms (betaweek = –.82, P < .001, per-protocol Cohen d = 3.43) and interview measures of depressive symptoms (betaweek = –.81, P < .001, per-protocol Cohen d = 3.55). Participants also became less likely to meet criteria for major depressive disorder diagnosis (bweek = –.65, P = .03, per

  19. Multisensory constraints on awareness

    PubMed Central

    Deroy, Ophelia; Chen, Yi-Chuan; Spence, Charles

    2014-01-01

    Given that multiple senses are often stimulated at the same time, perceptual awareness is most likely to take place in multisensory situations. However, theories of awareness are based on studies and models established for a single sense (mostly vision). Here, we consider the methodological and theoretical challenges raised by taking a multisensory perspective on perceptual awareness. First, we consider how well tasks designed to study unisensory awareness perform when used in multisensory settings, stressing that studies using binocular rivalry, bistable figure perception, continuous flash suppression, the attentional blink, repetition blindness and backward masking can demonstrate multisensory influences on unisensory awareness, but fall short of tackling multisensory awareness directly. Studies interested in the latter phenomenon rely on a method of subjective contrast and can, at best, delineate conditions under which individuals report experiencing a multisensory object or two unisensory objects. As there is not a perfect match between these conditions and those in which multisensory integration and binding occur, the link between awareness and binding advocated for visual information processing needs to be revised for multisensory cases. These challenges point at the need to question the very idea of multisensory awareness. PMID:24639579

  20. Knowing more than they can tell: An assessment of genre awareness among students in writing intensive zoology and civil engineering courses

    NASA Astrophysics Data System (ADS)

    Hanson, Joleen Kidwell

    Developing genre awareness as a means of "learning how to learn" in new writing situations is a goal of four recently proposed writing pedagogies that recognize the context-dependent nature of standards for "good writing" (Devitt, Reiff, and Bawarshi (2004); Beaufort (2007); Johns (2008); Downs and Wardle (2007)). Yet other scholars argue that useful genre knowledge cannot be taught explicitly in the classroom, but must be acquired tacitly through participation in a workplace or other discourse community (Dias et al. (1999); Freedman (1994); Smit (2004)). This qualitative study investigates the range of variability and potential sources of genre awareness among undergraduates who had not received explicit teaching about genre awareness. It presents students' explicit understanding of why particular genre conventions are followed in a particular context by examining what they could tell about learning the advanced lab report in writing-in-the-major courses in either Zoology or Civil Engineering. Research data includes surveys of all students in three courses (n=112), interviews with a subset in each course (n=24) and with all instructors (n=7), samples of graded student lab reports, and classroom observations. Overall, few study participants demonstrated genre awareness as defined by Devitt. Students showed limited awareness of the rhetorical purposes of the advanced lab report and even less awareness of the values and beliefs embedded in its discourse conventions. Disciplinary identification and mentoring experiences were found to be factors that might contribute to the development of genre awareness. Unexpected findings were that some insecure writers showed relatively high overall genre awareness, while some confident writers showed relatively low genre awareness. Further research is needed to refine an assessment instrument that could be readily used by other researchers. However, the instrument for assessing genre awareness that was developed for this project

  1. Making sense of complexity in context and implementation: the Context and Implementation of Complex Interventions (CICI) framework.

    PubMed

    Pfadenhauer, Lisa M; Gerhardus, Ansgar; Mozygemba, Kati; Lysdahl, Kristin Bakke; Booth, Andrew; Hofmann, Bjørn; Wahlster, Philip; Polus, Stephanie; Burns, Jacob; Brereton, Louise; Rehfuess, Eva

    2017-02-15

    The effectiveness of complex interventions, as well as their success in reaching relevant populations, is critically influenced by their implementation in a given context. Current conceptual frameworks often fail to address context and implementation in an integrated way and, where addressed, they tend to focus on organisational context and are mostly concerned with specific health fields. Our objective was to develop a framework to facilitate the structured and comprehensive conceptualisation and assessment of context and implementation of complex interventions. The Context and Implementation of Complex Interventions (CICI) framework was developed in an iterative manner and underwent extensive application. An initial framework based on a scoping review was tested in rapid assessments, revealing inconsistencies with respect to the underlying concepts. Thus, pragmatic utility concept analysis was undertaken to advance the concepts of context and implementation. Based on these findings, the framework was revised and applied in several systematic reviews, one health technology assessment (HTA) and one applicability assessment of very different complex interventions. Lessons learnt from these applications and from peer review were incorporated, resulting in the CICI framework. The CICI framework comprises three dimensions-context, implementation and setting-which interact with one another and with the intervention dimension. Context comprises seven domains (i.e., geographical, epidemiological, socio-cultural, socio-economic, ethical, legal, political); implementation consists of five domains (i.e., implementation theory, process, strategies, agents and outcomes); setting refers to the specific physical location, in which the intervention is put into practise. The intervention and the way it is implemented in a given setting and context can occur on a micro, meso and macro level. Tools to operationalise the framework comprise a checklist, data extraction tools for

  2. Interaction effect of brooding rumination and interoceptive awareness on depression and anxiety symptoms

    PubMed Central

    Lackner, Ryan J.; Fresco, David M.

    2016-01-01

    Awareness of the body (i.e., interoceptive awareness) and self-referential thought represent two distinct, yet habitually integrated aspects of self. A recent neuroanatomical and processing model for depression and anxiety incorporates the connections between increased but low fidelity afferent interoceptive input with self-referential and belief-based states. A deeper understanding of how self-referential processes are integrated with interoceptive processes may ultimately aid in our understanding of altered, maladaptive views of the self – a shared experience of individuals with mood and anxiety disorders. Thus, the purpose of the current study was to examine how negative self-referential processing (i.e., brooding rumination) relates to interoception in the context of affective psychopathology. Undergraduate students (N = 82) completed an interoception task (heartbeat counting) in addition to self-reported measures of rumination and depression and anxiety symptoms. Results indicated an interaction effect of brooding rumination and interoceptive awareness on depression and anxiety-related distress. Specifically, high levels of brooding rumination coupled with low levels of interoceptive awareness were associated with the highest levels of depression and anxiety-related distress, whereas low levels of brooding rumination coupled with high levels of interoceptive awareness were associated with lower levels of depression and anxiety-related distress. The findings provide further support for the conceptualization of anxiety and depression as conditions involving the integration of interoceptive processes and negative self-referential processes. PMID:27567108

  3. Reading speed and phonological awareness deficits among Arabic-speaking children with dyslexia.

    PubMed

    Layes, Smail; Lalonde, Robert; Rebaï, Mohamed

    2015-02-01

    Although reading accuracy of isolated words and phonological awareness represent the main criteria of subtyping developmental dyslexia, there is increasing evidence that reduced reading speed also represents a defining characteristic. In the present study, reading speed and accuracy were measured in Arabic-speaking phonological and mixed dyslexic children matched with controls of the same age. Participants in third and fourth grades, aged from 9-10 to 9-8 years, were given single frequent and infrequent word and pseudo-word reading and phonological awareness tasks. Results showed that the group with dyslexia scored significantly lower than controls in accuracy and speed in reading tasks. Phonological and mixed dyslexic subgroups differed in infrequent and frequent word reading accuracy, the latter being worse. In contrast, the subgroups were comparable in pseudo-word identification and phonological awareness. Delayed phonological and recognition processes of infrequent and frequent words, respectively, were placed in the context of the dual route model of reading and the specific orthographic features of the Arabic language. Copyright © 2014 John Wiley & Sons, Ltd.

  4. Public health situation awareness: toward a semantic approach

    NASA Astrophysics Data System (ADS)

    Mirhaji, Parsa; Richesson, Rachel L.; Turley, James P.; Zhang, Jiajie; Smith, Jack W.

    2004-04-01

    We propose a knowledge-based public health situation awareness system. The basis for this system is an explicit representation of public health situation awareness concepts and their interrelationships. This representation is based upon the users" (public health decision makers) cognitive model of the world, and optimized towards the efficacy of performance and relevance to the public health situation awareness processes and tasks. In our approach, explicit domain knowledge is the foundation for interpretation of public health data, as apposed to conventional systems where the statistical methods are the essence of the processes. Objectives: To develop a prototype knowledge-based system for public health situation awareness and to demonstrate the utility of knowledge intensive approaches in integration of heterogeneous information, eliminating the effects of incomplete and poor quality surveillance data, uncertainty in syndrome and aberration detection and visualization of complex information structures in public health surveillance settings, particularly in the context of bioterrorism (BT) preparedness. The system employs the Resource Definition Framework (RDF) and additional layers of more expressive languages to explicate the knowledge of domain experts into machine interpretable and computable problem-solving modules that can then guide users and computer systems in sifting through the most "relevant" data for syndrome and outbreak detection and investigation of root cause of the event. The Center for Biosecurity and Public Health Informatics Research is developing a prototype knowledge-based system around influenza, which has complex natural disease patterns, many public health implications, and is a potential agent for bioterrorism. The preliminary data from this effort may demonstrate superior performance in information integration, syndrome and aberration detection, information access through information visualization, and cross-domain investigation of the

  5. Neurobehavioral and self-awareness changes after traumatic brain injury: Towards new multidimensional approaches.

    PubMed

    Arnould, A; Dromer, E; Rochat, L; Van der Linden, M; Azouvi, P

    2016-02-01

    Neurobehavioral and self-awareness changes are frequently observed following traumatic brain injury (TBI). These disturbances have been related to negative consequences on functional outcomes, caregiver distress and social reintegration, representing therefore a challenge for clinical research. Some studies have recently been conducted to specifically explore apathetic and impulsive manifestations, as well as self-awareness impairments in patients with TBI. These findings underlined the heterogeneity of clinical manifestations for each behavioral disturbance and the diversity of psychological processes involved. In this context, new multidimensional approaches taking into account the various processes at play have been proposed to better understand and apprehend the complexity and dynamic nature of these problematic behaviors. In addition, the involvement of social and environmental factors as well as premorbid personality traits have increasingly been addressed. These new multidimensional frameworks have the potential to ensure targeted and effective rehabilitation by allowing a better identification and therefore consideration of the various mechanisms involved in the onset of problematic behaviors. In this context, the main objective of this position paper was to demonstrate the interest of multidimensional approaches in the understanding and rehabilitation of problematic behaviors in patients with TBI. Copyright © 2015 Elsevier Masson SAS. All rights reserved.

  6. Playing in School or at Home? An Exploration of the Effects of Context on Educational Game Experience

    ERIC Educational Resources Information Center

    De Grove, Frederik; Van Looy, Jan; Neys, Joyce; Jansz, Jeroen

    2012-01-01

    The goal of this study is to gain insight into the effects of context on educational game experience. Using a quasi-experimental setup, it compares the playing and learning experiences of adolescent players of the awareness-raising game PING in a domestic (N=135) and a school (N=121) context. Results indicate that both gaming (identification,…

  7. Promoting Space Education and Awareness in Pakistan- Initiatives, Achievements, Challenges and Issues

    NASA Astrophysics Data System (ADS)

    Jagirani, Aisha

    With about 180 million inhabitants, Pakistan is the sixth most populous and the 34th largest country in the world in terms of area. Pakistan's economy, which is pre-dominantly based on agriculture, is the 26th largest in the world in terms of purchasing power parity and 45th largest in terms of nominal GDP. Pakistan is counted among the Next Eleven (N11) countries that have the potential to become the world's largest economies in the 21st century. Despite considerable potential to develop into a stable, moderate and democratic state, major challenges of internal security, poor agricultural productivity, inadequate infrastructure, food insecurity, insufficient health and educational facilities, depletion of natural resources, rapid environmental degradation and recurring natural disasters have burdened the country and have hampered sustainable development of Pakistan. Space technology applications offer a cost-effective means of addressing many of the above mentioned issues and have made impressive advances in the last few years in different countries in the region. Unfortunately, for various reasons, Pakistan has not been able to fully exploit the benefits of space technology and its applications to meet the challenges she faces. One of the reasons is lack of awareness and understanding by planners, decision-makers and users about the potential benefits of space technology in planning and implementation of developmental plans as well as good governance. Similarly, Pakistan's space program enjoys little public support due, primarily, to lack of awareness of the benefits space offers and the ubiquitousness of space applications in modern life. There is thus an acute need to create awareness and educate all segments of the society and stakeholders in Pakistan about the potential benefits of space technology and its applications. In the past ten years, many initiatives have been taken to promote space education and awareness for students as well as decision-makers in

  8. Relating Pitch Awareness to Phonemic Awareness in Children: Implications for Tone-Deafness and Dyslexia

    PubMed Central

    Loui, Psyche; Kroog, Kenneth; Zuk, Jennifer; Winner, Ellen; Schlaug, Gottfried

    2011-01-01

    Language and music are complex cognitive and neural functions that rely on awareness of one's own sound productions. Information on the awareness of vocal pitch, and its relation to phonemic awareness which is crucial for learning to read, will be important for understanding the relationship between tone-deafness and developmental language disorders such as dyslexia. Here we show that phonemic awareness skills are positively correlated with pitch perception–production skills in children. Children between the ages of seven and nine were tested on pitch perception and production, phonemic awareness, and IQ. Results showed a significant positive correlation between pitch perception–production and phonemic awareness, suggesting that the relationship between musical and linguistic sound processing is intimately linked to awareness at the level of pitch and phonemes. Since tone-deafness is a pitch-related impairment and dyslexia is a deficit of phonemic awareness, we suggest that dyslexia and tone-deafness may have a shared and/or common neural basis. PMID:21687467

  9. Intercultural Learning--An Undergraduate Module Supporting the Development of Students' Cultural Awareness in International Settings

    ERIC Educational Resources Information Center

    Colaiacomo, Silvia; Puntil, Donata

    2018-01-01

    This report illustrates the context and development of the Intercultural Learning module, provided by the Modern Language Centre (MLC), King's College London. The Intercultural Learning Module is a one semester undergraduate course mostly attended by visiting study abroad students. The module aims to enhance students' intercultural awareness and…

  10. Effect of Duration of Peer Awareness Education on Attitudes toward Students with Disabilities: A Systematic Review

    ERIC Educational Resources Information Center

    Leigers, Kelly L.; Myers, Christine T.

    2015-01-01

    The attitudes of peers towards fellow students with disabilities impacts social participation and the development of relationships within the school context. This systematic review examined the effect of duration of a disability-awareness education program on the attitudes of peers towards students with disabilities. Sources such as the Academic…

  11. Preschool Phonological and Morphological Awareness As Longitudinal Predictors of Early Reading and Spelling Development in Greek.

    PubMed

    Diamanti, Vassiliki; Mouzaki, Angeliki; Ralli, Asimina; Antoniou, Faye; Papaioannou, Sofia; Protopapas, Athanassios

    2017-01-01

    Different language skills are considered fundamental for successful reading and spelling acquisition. Extensive evidence has highlighted the central role of phonological awareness in early literacy experiences. However, many orthographic systems also require the contribution of morphological awareness. The goal of this study was to examine the morphological and phonological awareness skills of preschool children as longitudinal predictors of reading and spelling ability by the end of first grade, controlling for the effects of receptive and expressive vocabulary skills. At Time 1 preschool children from kindergartens in the Greek regions of Attika, Crete, Macedonia, and Thessaly were assessed on tasks tapping receptive and expressive vocabulary, phonological awareness (syllable and phoneme), and morphological awareness (inflectional and derivational). Tasks were administered through an Android application for mobile devices (tablets) featuring automatic application of ceiling rules. At Time 2 one year later the same children attending first grade were assessed on measures of word and pseudoword reading, text reading fluency, text reading comprehension, and spelling. Complete data from 104 children are available. Hierarchical linear regression and commonality analyses were conducted for each outcome variable. Reading accuracy for both words and pseudowords was predicted not only by phonological awareness, as expected, but also by morphological awareness, suggesting that understanding the functional role of word parts supports the developing phonology-orthography mappings. However, only phonological awareness predicted text reading fluency at this age. Longitudinal prediction of reading comprehension by both receptive vocabulary and morphological awareness was already evident at this age, as expected. Finally, spelling was predicted by preschool phonological awareness, as expected, as well as by morphological awareness, the contribution of which is expected to

  12. IoT Contextual Factors on Healthcare.

    PubMed

    Michalakis, Konstantinos; Caridakis, George

    2017-01-01

    With the emergence of the Internet of Things, new services in healthcare will be available and existing systems will be integrated in the IoT framework, providing automated medical supervision and efficient medical treatment. Context awareness plays a critical role in realizing the vision of the IoT, providing rich contextual information that can help the system act more efficiently. Since context in healthcare has its unique characteristics, it is necessary to define an appropriate context aware framework for healthcare IoT applications. We identify this context as perceived in healthcare applications and describe the context aware procedures. We also present an architecture that connects the sensors that measure biometric data with the sensory networks of the environment and the various IoT middleware that reside in the geographical area. Finally, we discuss the challenges for the realization of this vision.

  13. Objective measures of situation awareness in a simulated medical environment

    PubMed Central

    Wright, M; Taekman, J; Endsley, M

    2004-01-01

    One major limitation in the use of human patient simulators is a lack of objective, validated measures of human performance. Objective measures are necessary if simulators are to be used to evaluate the skills and training of medical practitioners and teams or to evaluate the impact of new processes or equipment design on overall system performance. Situation awareness (SA) refers to a person's perception and understanding of their dynamic environment. This awareness and comprehension is critical in making correct decisions that ultimately lead to correct actions in medical care settings. An objective measure of SA may be more sensitive and diagnostic than traditional performance measures. This paper reviews a theory of SA and discusses the methods required for developing an objective measure of SA within the context of a simulated medical environment. Analysis and interpretation of SA data for both individual and team performance in health care are also presented. PMID:15465958

  14. A Model of Organizational Context and Shared Decision Making: Application to LGBT Racial and Ethnic Minority Patients.

    PubMed

    DeMeester, Rachel H; Lopez, Fanny Y; Moore, Jennifer E; Cook, Scott C; Chin, Marshall H

    2016-06-01

    Shared decision making (SDM) occurs when patients and clinicians work together to reach care decisions that are both medically sound and responsive to patients' preferences and values. SDM is an important tenet of patient-centered care that can improve patient outcomes. Patients with multiple minority identities, such as sexual orientation and race/ethnicity, are at particular risk for poor SDM. Among these dual-minority patients, added challenges to clear and open communication include cultural barriers, distrust, and a health care provider's lack of awareness of the patient's minority sexual orientation or gender identity. However, organizational factors like a culture of inclusion and private space throughout the visit can improve SDM with lesbian, gay, bisexual, and transgender ("LGBT") racial/ethnic minority patients who have faced stigma and discrimination. Most models of shared decision making focus on the patient-provider interaction, but the health care organization's context is also critical. Context-an organization's structure and operations-can strongly influence the ability and willingness of patients and clinicians to engage in shared decision making. SDM is most likely to be optimal if organizations transform their contexts and patients and providers improve their communication. Thus, we propose a conceptual model that suggests ways in which organizations can shape their contextual structure and operations to support SDM. The model contains six drivers: workflows, health information technology, organizational structure and culture, resources and clinic environment, training and education, and incentives and disincentives. These drivers work through four mechanisms to impact care: continuity and coordination, the ease of SDM, knowledge and skills, and attitudes and beliefs. These mechanisms can activate clinicians and patients to engage in high-quality SDM. We provide examples of how specific contextual changes could make SDM more effective for LGBT

  15. From Cultural Awareness to Intercultural Awareness: Culture in ELT

    ERIC Educational Resources Information Center

    Baker, Will

    2012-01-01

    Cultural awareness (CA) has emerged over the last few decades as a significant part of conceptualizing the cultural dimension to language teaching. That is, L2 users need to understand L2 communication as a cultural process and to be aware of their own culturally based communicative behaviour and that of others. However, while CA has provided a…

  16. 5 CFR 930.301 - Information systems security awareness training program.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ....g., system and network administrators, and system/application security officers) must receive... 5 Administrative Personnel 2 2013-01-01 2013-01-01 false Information systems security awareness... (MISCELLANEOUS) Information Security Responsibilities for Employees who Manage or Use Federal Information Systems...

  17. 5 CFR 930.301 - Information systems security awareness training program.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ....g., system and network administrators, and system/application security officers) must receive... 5 Administrative Personnel 2 2014-01-01 2014-01-01 false Information systems security awareness... (MISCELLANEOUS) Information Security Responsibilities for Employees who Manage or Use Federal Information Systems...

  18. An Activity-Driven Model for an Interactional Notion of Context

    DTIC Science & Technology

    2009-06-01

    environmental states and settings that either determines an application’s behaviour or in which an application event occurs and is interesting to the...user.” They further differentiate between active context that influences the behaviours of an application, and passive context that is relevant but...environment and treated as implicit input to positively affect the behaviour of an application.” [6]. An abstract representation of this notion of context is

  19. Environmental Awareness (Sensory Awareness).

    ERIC Educational Resources Information Center

    Carpenter, Marian

    Capitalizing on the resources available within a city block, this resource guide for the emotionally handicapped (K-6) describes methods and procedures for developing sensory awareness in the urban out-of-doors. Conceptual focus is on interdependency ("living things are interdependent"). Involvement in the environment (observing, thinking, doing)…

  20. Incongruity, incongruity resolution, and mental states: The measure and modification of situational awareness and control

    NASA Technical Reports Server (NTRS)

    Derks, Peter L.; Gillikin, Lynn S.

    1993-01-01

    The research reported here describes the process of induction of various mental states. Our goals were to measure and to manipulate both the behavioral and the neurological correlates of particular mental states that have previously been demonstrated to be either beneficial or deleterious to in-flight performance situations. The experimental paradigm involved developing a context of which the participants were aware, followed by the introduction of an incongruity into that context. The empirical questions involved how the incongruity was resolved and the consequent effects on mental state. The dependent variables were measures of both the short-term ERP changes and the longer-term brain mapping indications of predominant mental states. The mission of NASA Flight Management Division and Human/Automation Integration Branch centers on the understanding and improvement of interaction between a complex system and a human operator. Specifically, the goal is improved efficiency through better operative procedures and control strategies. More efficient performance in demanding flight environments depends on improved situational awareness and replanning for fault management.

  1. Human-centred design in global health: A scoping review of applications and contexts.

    PubMed

    Bazzano, Alessandra N; Martin, Jane; Hicks, Elaine; Faughnan, Maille; Murphy, Laura

    2017-01-01

    Health and wellbeing are determined by a number of complex, interrelated factors. The application of design thinking to questions around health may prove valuable and complement existing approaches. A number of public health projects utilizing human centered design (HCD), or design thinking, have recently emerged, but no synthesis of the literature around these exists. The results of a scoping review of current research on human centered design for health outcomes are presented. The review aimed to understand why and how HCD can be valuable in the contexts of health related research. Results identified pertinent literature as well as gaps in information on the use of HCD for public health research, design, implementation and evaluation. A variety of contexts were identified in which design has been used for health. Global health and design thinking have different underlying conceptual models and terminology, creating some inherent tensions, which could be overcome through clear communication and documentation in collaborative projects. The review concludes with lessons learned from the review on how future projects can better integrate design thinking with global health research.

  2. Human-centred design in global health: A scoping review of applications and contexts

    PubMed Central

    Martin, Jane; Hicks, Elaine; Faughnan, Maille; Murphy, Laura

    2017-01-01

    Health and wellbeing are determined by a number of complex, interrelated factors. The application of design thinking to questions around health may prove valuable and complement existing approaches. A number of public health projects utilizing human centered design (HCD), or design thinking, have recently emerged, but no synthesis of the literature around these exists. The results of a scoping review of current research on human centered design for health outcomes are presented. The review aimed to understand why and how HCD can be valuable in the contexts of health related research. Results identified pertinent literature as well as gaps in information on the use of HCD for public health research, design, implementation and evaluation. A variety of contexts were identified in which design has been used for health. Global health and design thinking have different underlying conceptual models and terminology, creating some inherent tensions, which could be overcome through clear communication and documentation in collaborative projects. The review concludes with lessons learned from the review on how future projects can better integrate design thinking with global health research. PMID:29091935

  3. Ego-location and situational awareness in semistructured environments

    NASA Astrophysics Data System (ADS)

    Goodsell, Thomas G.; Snorrason, Magnus S.; Stevens, Mark R.; Stube, Brian; McBride, Jonah

    2003-09-01

    The success of any potential application for mobile robots depends largely on the specific environment where the application takes place. Practical applications are rarely found in highly structured environments, but unstructured environments (such as natural terrain) pose major challenges to any mobile robot. We believe that semi-structured environments-such as parking lots-provide a good opportunity for successful mobile robot applications. Parking lots tend to be flat and smooth, and cars can be uniquely identified by their license plates. Our scenario is a parking lot where only known vehicles are supposed to park. The robot looks for vehicles that do not belong in the parking lot. It checks both license plates and vehicle types, in case the plate is stolen from an approved vehicle. It operates autonomously, but reports back to a guard who verifies its performance. Our interest is in developing the robot's vision system, which we call Scene Estimation & Situational Awareness Mapping Engine (SESAME). In this paper, we present initial results from the development of two SESAME subsystems, the ego-location and license plate detection systems. While their ultimate goals are obviously quite different, our design demonstrates that by sharing intermediate results, both tasks can be significantly simplified. The inspiration for this design approach comes from the basic tenets of Situational Awareness (SA), where the benefits of holistic perception are clearly demonstrated over the more typical designs that attempt to solve each sensing/perception problem in isolation.

  4. Context in Models of Human-Machine Systems

    NASA Technical Reports Server (NTRS)

    Callantine, Todd J.; Null, Cynthia H. (Technical Monitor)

    1998-01-01

    All human-machine systems models represent context. This paper proposes a theory of context through which models may be usefully related and integrated for design. The paper presents examples of context representation in various models, describes an application to developing models for the Crew Activity Tracking System (CATS), and advances context as a foundation for integrated design of complex dynamic systems.

  5. Cultural diversity among nursing students: reanalysis of the cultural awareness scale.

    PubMed

    Rew, Lynn; Becker, Heather; Chontichachalalauk, Jiraporn; Lee, H Y

    2014-02-01

    Nurses are educated to provide culturally competent care. Cultural competence begins with cultural awareness, a concept previously measured with the Cultural Awareness Scale (CAS). The purpose of this study was to reanalyze the CAS to determine construct validity and differences in cultural awareness among students of varying educational levels and experiences. The sample consisted of 150 nursing students (92% female, 33.6% racial minorities). Confirmatory factor analysis yielded three factors (CFI = 0.868, TLI = 0.854, RMSEA = 0.065, and SRMR = 0.086). Cronbach's alpha ranged from 0.70 to 0.89. There were significant differences among educational levels, with lower division BSN students generally scoring higher than upper division and master's of science in nursing students. Students who had taken courses on cultural diversity or global health generally outscored those who had not taken such courses. Findings support the validity of the CAS and its applicability to research studies of cultural awareness in nursing. Copyright 2014, SLACK Incorporated.

  6. Exploring an Invisible Medium: Teacher Language Awareness among Preservice K12 Educators of English Language Learners

    ERIC Educational Resources Information Center

    Lindahl, Kristen Marie

    2013-01-01

    This study investigates the construct of Teacher Language Awareness (TLA) in a group of preservice mainstream K-12 teachers who are developing skills to work with English Language Learners (ELLs) in United States (US) public school contexts. Specifically, the study seeks to explore how preservice teachers' participation in directed university…

  7. AANCART best practices: cancer awareness activities for Seattle's Combodian community.

    PubMed

    Seng, Paularita; Acorda, Elizabeth; Carey Jackson, J; Marchand, Ann; Thai, Hue; Tu, Shin-Ping; Taylor, Vicky

    2005-12-15

    Census data indicate that Cambodian Americans are economically disadvantaged and linguistically isolated. In addition, cancer registry data show that Southeast Asians experience several cancer-related health disparities (e.g., markedly elevated risks of cervical and liver cancer). The Seattle regional Asian American Network for Cancer, Awareness, Research, and Training (AANCART) site has implemented a community-based cancer awareness program for Cambodian immigrants in collaboration with a Cambodian community coalition. Our cancer awareness program has the following goals: to assist individuals and organizations in advocating for a healthy community, to provide information within a cultural context, and to deliver information in ways that are useful and meaningful to the community. The program was guided by a community assessment that included the use of published data as well as information from qualitative interviews, focus groups, and quantitative surveys. Examples of community awareness activities include group presentations at community-based organizations (e.g., during English as a second language classes), health fair participation (including at nontraditional venues such as a farmers' market serving Cambodians), and educational displays in neighborhood locations (e.g., at Cambodian video stores). In addition, the Seattle AANCART site has both inventoried and developed culturally appropriate Khmer language cancer education materials and disseminated materials through the ETHNO-MED website. Our approach recognizes that limited English language proficiency may preclude many Cambodians from understanding publicly disseminated information, and Cambodian immigrants are often isolated and tend to stay close to their own neighborhoods. Cancer 2005. (c) 2005 American Cancer Society.

  8. Applying Cognitive Fusion to Space Situational Awareness

    NASA Astrophysics Data System (ADS)

    Ingram, S.; Shaw, M.; Chan, M.

    With recent increases in capability and frequency of rocket launches from countries across the world, maintaining a state-of-the-art Space Situational Awareness model is all the more necessary. We propose a fusion of real-time, natural language processing capability provided by IBM cognitive services with ground-based sensor data of positions and trajectories of satellites in all earth orbits. We believe such insight provided by cognitive services could help determine context to missile launches, help predict when a satellite of interest could be in danger, either by accident or by intent, and could alert interested parties to the perceived threat. We seek to implement an improved Space Situational Awareness model by developing a dynamic factor graph model informed by the fusion of ground-based ”structured” sensor data with ”unstructured” data from the public domain, such as news articles, blogs, and social media, in real time. To this end, we employ IBM’s Cognitive services, specifically, Watson Discovery. Watson Discovery allows real-time natural language processing of text including entity extraction, keyword search, taxonomy classification, concept tagging, relation extraction, sentiment analysis, and emotion analysis. We present various scenarios that demonstrate the utility of this new Space Situational Awareness model, each of which combine past structured information with related open source data. We demonstrate that should the model come to estimate a satellite is ”of interest”, it will indicate it as so, based on the most pertinent data, such as a reading from a sensor or by information available online. We present and discuss the most recent iterations of the model for satellites currently available on Space-Track.org.

  9. Affective dysfunctions in adolescents at risk for psychosis: emotion awareness and social functioning.

    PubMed

    van Rijn, Sophie; Schothorst, Patricia; Wout, Mascha van 't; Sprong, Mirjam; Ziermans, Tim; van Engeland, Herman; Aleman, André; Swaab, Hanna

    2011-05-15

    Studies of individuals at ultra high risk (UHR) for psychosis have revealed deviations in cognitive and neural development before the onset of psychosis. As affective impairments are among the core dysfunctions in psychotic disorders such as schizophrenia, this study assessed emotion processing and the relationship with social competence in adolescents at risk for psychosis. Thirty-four adolescents at UHR for psychosis and twenty-three non-clinical controls completed the Bermond-Vorst Alexithymia Questionnaire, a measure of emotion awareness. Social inadequacy was measured using the Dutch Personality Questionnaire. Schizophrenia spectrum psychopathology was assessed using self-report and clinical instruments. The Wechsler Adult Intelligence Scale (WAIS) was used to evaluate intellectual functioning. UHR adolescents showed difficulties in identifying and verbalizing their own emotions, independent of intelligence scores. Emotion awareness problems were related to social inadequacy and schizotypal traits in the high risk group. These findings suggest that UHR adolescents may have reduced emotion awareness, independent of intellectual functioning. The relationship with social inadequate behavior fits with the idea that emotion awareness is a prerequisite for the regulation of emotions in social contexts. In the search for early vulnerability markers of risk for psychosis, studying emotion processing besides cognitive abilities might increase our understanding of 'at risk' developmental pathways. Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

  10. Co-Constructing Identities, Literacies, and Contexts: Sustaining Critical Meta-Awareness with/in Urban Communities

    ERIC Educational Resources Information Center

    Caraballo, Limarys; Souto-Manning, Mariana

    2017-01-01

    Mariana Souto-Manning calls for educational researchers to move beyond traditional/oppressive forms of research toward frameworks and methods that center the concerns of participants. Such critical research represents attempts to honor and support participants' cultures, knowledge, and emerging identities in diverse urban educational contexts,…

  11. Beyond environmental education: The need for ecological awareness

    NASA Astrophysics Data System (ADS)

    Schleicher, Klaus

    1989-09-01

    `Environmental education' is frequently both inadequate and inefficient, as too little attention is paid to the outside influences of its cultural, scientific and political context. Since ecological problems cannot be solved only by scientific measurement, administrative action and technological compensation, `ecological education' is necessary to deal with the polluter in his ecological environment. It is inevitable that this type of education will combine natural and human dimensions, that is, that it will make people aware of interrelationships between biotopes and sociotopes, so that conflicts of goals between human and natural environmental demands become apparent and an evaluation of risks becomes possible. The discussion of these problems starts with references to these demands and to the interrelationship of environmental policy, public environmental awareness and environmental education. Against this background a preventive ecological education is postulated and compared with the existing curricula and teaching practice. From the differences didactic conclusions are drawn as to how the predispositions of the public, institutions and young people can be integrated into the establishment of the educational concept of ecological education. There is also a discussion of how the norms of such education will change with the actual interaction of the human and natural dimensions.

  12. Interaction effect of brooding rumination and interoceptive awareness on depression and anxiety symptoms.

    PubMed

    Lackner, Ryan J; Fresco, David M

    2016-10-01

    Awareness of the body (i.e., interoceptive awareness) and self-referential thought represent two distinct, yet habitually integrated aspects of self. A recent neuroanatomical and processing model for depression and anxiety incorporates the connections between increased but low fidelity afferent interoceptive input with self-referential and belief-based states. A deeper understanding of how self-referential processes are integrated with interoceptive processes may ultimately aid in our understanding of altered, maladaptive views of the self - a shared experience of individuals with mood and anxiety disorders. Thus, the purpose of the current study was to examine how negative self-referential processing (i.e., brooding rumination) relates to interoception in the context of affective psychopathology. Undergraduate students (N = 82) completed an interoception task (heartbeat counting) in addition to self-reported measures of rumination and depression and anxiety symptoms. Results indicated an interaction effect of brooding rumination and interoceptive awareness on depression and anxiety-related distress. Specifically, high levels of brooding rumination coupled with low levels of interoceptive awareness were associated with the highest levels of depression and anxiety-related distress, whereas low levels of brooding rumination coupled with high levels of interoceptive awareness were associated with lower levels of depression and anxiety-related distress. The findings provide further support for the conceptualization of anxiety and depression as conditions involving the integration of interoceptive processes and negative self-referential processes. Copyright © 2016 Elsevier Ltd. All rights reserved.

  13. Post-exposure prophylaxis awareness and use among men who have sex with men in London who use geosocial-networking smartphone applications.

    PubMed

    Goedel, William C; Hagen, Daniel; Halkitis, Perry N; Greene, Richard E; Griffin-Tomas, Marybec; Brooks, Forrest A; Hickson, DeMarc; Duncan, Dustin T

    2017-05-01

    The number of new HIV infections continues to be on the rise in many high-income countries, most notably among men who have sex with men (MSM). Despite recent attention to the use of antiretroviral medications as pre-exposure prophylaxis (PrEP) among MSM, considerably less research has been devoted to examining the awareness and use of post-exposure prophylaxis (PEP). Based on a convenience sample of 179 self-reported HIV-uninfected MSM using a geosocial-networking smartphone application, this study is among the first to examine the awareness and use of PEP and their demographic and behavioral correlates among MSM in London. Most respondents (88.3%) had heard of PEP, where 27.4% reported having used it. In multivariable models, the disclosure of one's sexual orientation to their general practitioner (Prevalence ratio [PR]: 3.49; 95% confidence interval (CI): 1.14, 10.70; p = .029) and reporting one's HIV status as negative (rather than unknown) (PR: 11.49; 95% CI: 1.68, 76.92; p = .013) were associated with having heard of PEP; while the recent use of club drugs (PR: 3.02; 95% CI: 1.42, 6.43; p = .004) was associated with having ever used PEP. High awareness and use in this sample suggest that PEP is a valuable risk-reduction strategy that should be capitalized on, be it in addition to or in the absence of PrEP.

  14. Post-exposure prophylaxis awareness and use among men who have sex with men in London who use geosocial-networking smartphone applications

    PubMed Central

    Goedel, William C.; Hagen, Daniel; Halkitis, Perry N.; Greene, Richard E.; Griffin-Tomas, Marybec; Brooks, Forrest A.; Hickson, DeMarc; Duncan, Dustin T.

    2017-01-01

    The number of new HIV infections continues to be on the rise in many high-income countries, most notably among men who have sex with men (MSM). Despite recent attention to the use of antiretroviral medications as pre-exposure prophylaxis (PrEP) among MSM, considerably less research has been devoted to examining the awareness and use of post-exposure prophylaxis (PEP). Based on a convenience sample of 179 self-reported HIV-uninfected MSM using a geosocial-networking smartphone application, this study is among the first to examine the awareness and use of PEP and their demographic and behavioral correlates among MSM in London. Most respondents (88.3%) had heard of PEP, where 27.4% reported having used it. In multivariable models, the disclosure of one’s sexual orientation to their general practitioner (Prevalence ratio [PR]: 3.49; 95% confidence interval (CI): 1.14, 10.70; p = .029) and reporting one’s HIV status as negative (rather than unknown) (PR: 11.49; 95% CI: 1.68, 76.92; p = .013) were associated with having heard of PEP; while the recent use of club drugs (PR: 3.02; 95% CI: 1.42, 6.43; p = .004) was associated with having ever used PEP. High awareness and use in this sample suggest that PEP is a valuable risk-reduction strategy that should be capitalized on, be it in addition to or in the absence of PrEP. PMID:27910722

  15. Racial disparities in hypertension awareness and management: are there differences among African Americans and Whites living under similar social conditions?

    PubMed

    Thorpe, Roland J; Bowie, Janice V; Smolen, Jenny R; Bell, Caryn N; Jenkins, Michael L; Jackson, John; LaVeist, Thomas A

    2014-01-01

    To examine the nature of disparities in hypertension awareness, treatment, and control within a sample of Whites and African Americans living in the same social context and with access to the same health care environment. Cross-sectional study Southwest Baltimore, Maryland 949 hypertensive African American and White adults in the Exploring Health Disparities in Integrated Communities-Southwest Baltimore (EHDIC-SWB) Study. Hypertensive participants who reported having been diagnosed by a doctor were considered to be aware of their hypertension. Among hypertensive adults aware of their condition, those who reported taking antihypertensive medications were classified as being in treatment. Among the treated hypertensive adults who had diabetes, those with systolic BP < 130 mm Hg and diastolic BP < 80 mm Hg were considered to be controlled. Among the treated hypertensive participants who did not have diabetes, those with systolic BP < 140 mmHg and diastolic BP < 90 mm Hg were also considered to be controlled. After adjusting for age, sex, marital status, education, income, health insurance, weight status, smoking status, drinking status, physical activity, cardiovascular disease, stroke, and diabetes, African Americans had greater odds of being aware of their hypertension than Whites (odds ratio = 1.44; 95% confidence interval 1.04, 2.01). However, African Americans and Whites had similar odds of being treated for hypertension, and having their hypertension under control. Within this racially integrated sample of hypertensive adults who share similar health care markets, race differences in treatment and control of hypertension were eliminated. Accounting for the social context should be considered in public health interventions to increase hypertension awareness and management.

  16. Context shapes social judgments of positive emotion suppression and expression.

    PubMed

    Kalokerinos, Elise K; Greenaway, Katharine H; Casey, James P

    2017-02-01

    It is generally considered socially undesirable to suppress the expression of positive emotion. However, previous research has not considered the role that social context plays in governing appropriate emotion regulation. We investigated a context in which it may be more appropriate to suppress than express positive emotion, hypothesizing that positive emotion expressions would be considered inappropriate when the valence of the expressed emotion (i.e., positive) did not match the valence of the context (i.e., negative). Six experiments (N = 1,621) supported this hypothesis: when there was a positive emotion-context mismatch, participants rated targets who suppressed positive emotion as more appropriate, and evaluated them more positively than targets who expressed positive emotion. This effect occurred even when participants were explicitly made aware that suppressing targets were experiencing mismatched emotion for the context (e.g., feeling positive in a negative context), suggesting that appropriate emotional expression is key to these effects. These studies are among the first to provide empirical evidence that social costs to suppression are not inevitable, but instead are dependent on context. Expressive suppression can be a socially useful emotion regulation strategy in situations that call for it. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

  17. Systems Engineering Awareness

    NASA Technical Reports Server (NTRS)

    Lucero, John

    2016-01-01

    The presentation will provide an overview of the fundamentals and principles of Systems Engineering (SE). This includes understanding the processes that are used to assist the engineer in a successful design, build and implementation of solutions. The context of this presentation will be to describe the involvement of SE throughout the life-cycle of a project from cradle to grave. Due to the ever growing number of complex technical problems facing our world, a Systems Engineering approach is desirable for many reasons. The interdisciplinary technical structure of current systems, technical processes representing System Design, Technical Management and Product Realization are instrumental in the development and integration of new technologies into mainstream applications. This tutorial will demonstrate the application of SE tools to these types of problems..

  18. Social Media Awareness and Implications in Nursing Leadership.

    PubMed

    Burton, Candace W; McLemore, Monica R; Perry, Laura; Carrick, Jenny; Shattell, Mona

    2016-11-01

    Many nursing professionals-may be reluctant to engage in or are confused about appropriate use of social media in a clinical, research, or policy context. To address this issue, we developed a study to enhance nurse leaders' facility with social media in the context of a national professional meeting. This study examined a social media campaign at the 2015 American Academy of Nursing conference. The campaign was intended to bridge the gap between active social media users and nonusers attending the conference. Following a targeted social media campaign at the American Academy of Nursing 2015 Transforming Health, Driving Policy Conference, responses to the conference evaluation questions about social media were reviewed and analyzed. Overall, evaluations were positive about the campaign; however, some conference attendees were not aware of its various components. Despite perceived barriers to its use, there is significant curiosity about social media use among nurse leaders. With the engagement of these leaders, there may be opportunities to enhance social media use at professional meetings and to make broader use of this valuable tool throughout the nursing profession.

  19. Domains of awareness in schizophrenia.

    PubMed

    Gilleen, J; Greenwood, K; David, A S

    2011-01-01

    Patients with schizophrenia are often characterized as lacking insight or awareness into their illness and symptoms, yet despite considerable research, we still lack a full understanding of the factors involved in causing poor awareness. Within schizophrenia, there has been shown to be a fractionation across dimensions of awareness into mental illness: of being ill, of symptoms, and of treatment compliance. Recently, attention has turned to evidence of a fractionation between awareness of illness and of cognitive impairments and functioning. The current study investigated the degree of fractionation across a broad range of domains of function in schizophrenia and how each domain may be associated with neuropsychological functioning, clinical, mood, and demographic variables. Thirty-one mostly chronic stable patients with schizophrenia completed a battery of neuropsychological tests and measures of psychopathology, including mood. Cognitive insight and awareness of illness, symptoms, memory, and behavioral functioning were also measured. Insight and awareness were assessed using a combination of semistructured interview, observer-rated, self-rated, and objective measures, and included measures of the discrepancy between carer and self-ratings of impairment. Results revealed that awareness of functioning in each domain was largely independent and that awareness in each domain was predicted by different factors. Insight into symptoms was relatively poor while insight into cognitive deficits was preserved. Relative to neuropsychological variables, cognitive insight, comprising self-certainty and self-reflexivity, was a greater predictor of awareness. In conclusion, awareness is multiply fractionated and multiply determined. Therapeutic interventions could, therefore, produce beneficial changes within specific domains of awareness.

  20. Domains of Awareness in Schizophrenia

    PubMed Central

    Gilleen, J.; Greenwood, K.; David, A. S.

    2011-01-01

    Patients with schizophrenia are often characterized as lacking insight or awareness into their illness and symptoms, yet despite considerable research, we still lack a full understanding of the factors involved in causing poor awareness. Within schizophrenia, there has been shown to be a fractionation across dimensions of awareness into mental illness: of being ill, of symptoms, and of treatment compliance. Recently, attention has turned to evidence of a fractionation between awareness of illness and of cognitive impairments and functioning. The current study investigated the degree of fractionation across a broad range of domains of function in schizophrenia and how each domain may be associated with neuropsychological functioning, clinical, mood, and demographic variables. Thirty-one mostly chronic stable patients with schizophrenia completed a battery of neuropsychological tests and measures of psychopathology, including mood. Cognitive insight and awareness of illness, symptoms, memory, and behavioral functioning were also measured. Insight and awareness were assessed using a combination of semistructured interview, observer-rated, self-rated, and objective measures, and included measures of the discrepancy between carer and self-ratings of impairment. Results revealed that awareness of functioning in each domain was largely independent and that awareness in each domain was predicted by different factors. Insight into symptoms was relatively poor while insight into cognitive deficits was preserved. Relative to neuropsychological variables, cognitive insight, comprising self-certainty and self-reflexivity, was a greater predictor of awareness. In conclusion, awareness is multiply fractionated and multiply determined. Therapeutic interventions could, therefore, produce beneficial changes within specific domains of awareness. PMID:20851850

  1. Raising the Awareness of Children on Global Issues

    NASA Astrophysics Data System (ADS)

    Korczynska, Audrey

    2016-08-01

    Space Awareness uses the excitement and challenges of space to interest young people into science and technology and develop their sense of European and global citizenship. Latest news and key advancements of the European space initiatives greatly contribute to it, showing the applications that space sciences have in the everyday life and how understanding the Universe can help understanding our own planet.

  2. [Four awareness of clinical lean management].

    PubMed

    Xiong, L Z; Zhang, C F

    2017-01-20

    Along with changes of medical model, hospitals need to provide best outcome with lowest cost and best patient's experience rather than merely medical treatments. It is the cultivation of lean awareness to the doctors that could acquire such outcome. The healthcare lean awareness can be summarized as responsibility awareness, digitalized awareness, detail awareness, and outstanding awareness. Through the cultivation of lean awareness, humanism can immerse into the doctors'practice, which is conducive to train for the great masters of the medicine.

  3. Measuring the Effects of Self-Awareness: Construction of the Self-Awareness Outcomes Questionnaire

    PubMed Central

    Sutton, Anna

    2016-01-01

    Dispositional self-awareness is conceptualized in several different ways, including insight, reflection, rumination and mindfulness, with the latter in particular attracting extensive attention in recent research. While self-awareness is generally associated with positive psychological well-being, these different conceptualizations are also each associated with a range of unique outcomes. This two part, mixed methods study aimed to advance understanding of dispositional self-awareness by developing a questionnaire to measure its outcomes. In Study 1, expert focus groups categorized and extended an initial pool of potential items from previous research. In Study 2, these items were reduced to a 38 item self-report questionnaire with four factors representing three beneficial outcomes (reflective self-development, acceptance and proactivity) and one negative outcome (costs). Regression of these outcomes against self-awareness measures revealed that self-reflection and insight predicted beneficial outcomes, rumination predicted reduced benefits and increased costs, and mindfulness predicted both increased proactivity and costs. These studies help to refine the self-awareness concept by identifying the unique outcomes associated with the concepts of self-reflection, insight, reflection, rumination and mindfulness. It can be used in future studies to evaluate and develop awareness-raising techniques to maximize self-awareness benefits while minimizing related costs. PMID:27872672

  4. Appropriating Video Surveillance for Art and Environmental Awareness: Experiences from ARTiVIS.

    PubMed

    Mendes, Mónica; Ângelo, Pedro; Correia, Nuno; Nisi, Valentina

    2018-06-01

    Arts, Real-Time Video and Interactivity for Sustainability (ARTiVIS) is an ongoing collaborative research project investigating how real-time video, DIY surveillance technologies and sensor data can be used as a tool for environmental awareness, activism and artistic explorations. The project consists of a series of digital contexts for aesthetic contemplation of nature and civic engagement, aiming to foster awareness and empowerment of local populations through DIY surveillance. At the core of the ARTIVIS efforts are a series of interactive installations (namely B-Wind!, Hug@tree and Play with Fire), that make use of surveillance technologies and real-time video as raw material to promote environmental awareness through the emotion generated by real-time connections with nature. Throughout the project development, the surveillance concept has been shifting from the use of surveillance technology in a centralized platform, to the idea of veillance with distributed peer-to-peer networks that can be used for science and environmental monitoring. In this paper we present the history of the ARTiVIS project, related and inspiring work, describe ongoing research work and explore the present and future challenges of appropriating surveillance technology for artistic, educational and civic engagement purposes.

  5. A Framework for a Context-Aware Elderly Entertainment Support System

    PubMed Central

    Hossain, M. Anwar; Alamri, Atif; Almogren, Ahmad S.; Hossain, SK Alamgir; Parra, Jorge

    2014-01-01

    Elderly people constitute a major portion of world's population. Many of them are physically and mentally vulnerable and need continuous support for their health and well-being. There is a growing trend that these elderly people are placed in an ambient assisted living environment (AAL) with an aim to receive better care and support. In such settings, a lot of attention has been given to continuous health monitoring for maintaining physical health status. However, much less attention has been given toward understanding the entertainment needs of the elderly people, which is an important factor relevant to their mental health and joyful living. This paper thus addresses the entertainment needs of the elderly and proposes a framework of an elderly entertainment support system. The proposed framework enables different categories of residents (e.g., elderly people and caregivers) to access various media services in both implicit and explicit manner in order to enhance the quality of their living experience in different contexts. Our experimental results demonstrate the viability of the proposed framework. We believe that the proposed approach will establish the need to develop entertainment systems and services for the elderly people and allow us to sensibly address the problems associated with their independent, happy and active living. PMID:24936946

  6. A framework for a context-aware elderly entertainment support system.

    PubMed

    Hossain, M Anwar; Alamri, Atif; Almogren, Ahmad S; Hossain, S K Alamgir; Parra, Jorge

    2014-06-16

    Elderly people constitute a major portion of world's population. Many of them are physically and mentally vulnerable and need continuous support for their health and well-being. There is a growing trend that these elderly people are placed in an ambient assisted living environment (AAL) with an aim to receive better care and support. In such settings, a lot of attention has been given to continuous health monitoring for maintaining physical health status. However, much less attention has been given toward understanding the entertainment needs of the elderly people, which is an important factor relevant to their mental health and joyful living. This paper thus addresses the entertainment needs of the elderly and proposes a framework of an elderly entertainment support system. The proposed framework enables different categories of residents (e.g., elderly people and caregivers) to access various media services in both implicit and explicit manner in order to enhance the quality of their living experience in different contexts. Our experimental results demonstrate the viability of the proposed framework. We believe that the proposed approach will establish the need to develop entertainment systems and services for the elderly people and allow us to sensibly address the problems associated with their independent, happy and active living.

  7. SMT-Aware Instantaneous Footprint Optimization

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Roy, Probir; Liu, Xu; Song, Shuaiwen

    Modern architectures employ simultaneous multithreading (SMT) to increase thread-level parallelism. SMT threads share many functional units and the whole memory hierarchy of a physical core. Without a careful code design, SMT threads can easily contend with each other for these shared resources, causing severe performance degradation. Minimizing SMT thread contention for HPC applications running on dedicated platforms is very challenging, because they usually spawn threads within Single Program Multiple Data (SPMD) models. To address this important issue, we introduce a simple scheme for SMT-aware code optimization, which aims to reduce the memory contention across SMT threads.

  8. Assessment of radiation awareness training in immersive virtual environments

    NASA Astrophysics Data System (ADS)

    Whisker, Vaughn E., III

    The prospect of new nuclear power plant orders in the near future and the graying of the current workforce create a need to train new personnel faster and better. Immersive virtual reality (VR) may offer a solution to the training challenge. VR technology presented in a CAVE Automatic Virtual Environment (CAVE) provides a high-fidelity, one-to-one scale environment where areas of the power plant can be recreated and virtual radiation environments can be simulated, making it possible to safely expose workers to virtual radiation in the context of the actual work environment. The use of virtual reality for training is supported by many educational theories; constructivism and discovery learning, in particular. Educational theory describes the importance of matching the training to the task. Plant access training and radiation worker training, common forms of training in the nuclear industry, rely on computer-based training methods in most cases, which effectively transfer declarative knowledge, but are poor at transferring skills. If an activity were to be added, the training would provide personnel with the opportunity to develop skills and apply their knowledge so they could be more effective when working in the radiation environment. An experiment was developed to test immersive virtual reality's suitability for training radiation awareness. Using a mixed methodology of quantitative and qualitative measures, the subjects' performances before and after training were assessed. First, subjects completed a pre-test to measure their knowledge prior to completing any training. Next they completed unsupervised computer-based training, which consisted of a PowerPoint presentation and a PDF document. After completing a brief orientation activity in the virtual environment, one group of participants received supplemental radiation awareness training in a simulated radiation environment presented in the CAVE, while a second group, the control group, moved directly to the

  9. Context as Relevance-Driven Abduction and Charitable Satisficing

    PubMed Central

    Attardo, Salvatore

    2016-01-01

    It has been widely assumed that the full meaning of a linguistic expression can be grasped only within a situation, the context of the utterance. There is even agreement that certain factors within the situation are particularly significant, including gestures and facial expressions of the participants, their social roles, the setting of the exchange, the objects surrounding the participants, the linguistic, cultural and educational backgrounds of the participants, their beliefs, including those concerning the situation, the social procedures and conventions that regulate the situation. Finally, there is some agreement that context is dynamic, reflexive (the speakers are mutually aware of their beliefs), not limited to linguistics actions, and last but not least, a psychological construct. This definition of context is not (very) controversial, but it leaves out two major problems, which will be addressed in this paper: how is context arrived at? And, since a perfectly natural interpretation of the above definition could be that the context of each utterance is the entire universe, how is the relevant context delimited? Four related concepts will provide the answer to both questions: abductive reasoning, driven by relevance and cooperation, and bounded rationality and the principle of charity. Simply put, context is derived abductively by the speakers assuming that for the speakers to behave the way they behave and do so rationally, a given context must be available to them. The context is bounded by the simple requirement that speakers not try to optimize their interpretation/calculation, but rather satisfice, i.e., find the first acceptable solution and by the need to follow the principle of charity, which forces intersubjective agreement. Thus, abductive reasoning and bounded rationality will be shown to be sufficient to calculate the relevant context of utterances (or other rationality-driven interactions) and to effectively delimit the potentially infinite

  10. Context as Relevance-Driven Abduction and Charitable Satisficing.

    PubMed

    Attardo, Salvatore

    2016-01-01

    It has been widely assumed that the full meaning of a linguistic expression can be grasped only within a situation, the context of the utterance. There is even agreement that certain factors within the situation are particularly significant, including gestures and facial expressions of the participants, their social roles, the setting of the exchange, the objects surrounding the participants, the linguistic, cultural and educational backgrounds of the participants, their beliefs, including those concerning the situation, the social procedures and conventions that regulate the situation. Finally, there is some agreement that context is dynamic, reflexive (the speakers are mutually aware of their beliefs), not limited to linguistics actions, and last but not least, a psychological construct. This definition of context is not (very) controversial, but it leaves out two major problems, which will be addressed in this paper: how is context arrived at? And, since a perfectly natural interpretation of the above definition could be that the context of each utterance is the entire universe, how is the relevant context delimited? Four related concepts will provide the answer to both questions: abductive reasoning, driven by relevance and cooperation, and bounded rationality and the principle of charity. Simply put, context is derived abductively by the speakers assuming that for the speakers to behave the way they behave and do so rationally, a given context must be available to them. The context is bounded by the simple requirement that speakers not try to optimize their interpretation/calculation, but rather satisfice, i.e., find the first acceptable solution and by the need to follow the principle of charity, which forces intersubjective agreement. Thus, abductive reasoning and bounded rationality will be shown to be sufficient to calculate the relevant context of utterances (or other rationality-driven interactions) and to effectively delimit the potentially infinite

  11. Measuring situation awareness in emergency settings: a systematic review of tools and outcomes

    PubMed Central

    Cooper, Simon; Porter, Joanne; Peach, Linda

    2014-01-01

    Background Nontechnical skills have an impact on health care outcomes and improve patient safety. Situation awareness is core with the view that an understanding of the environment will influence decision-making and performance. This paper reviews and describes indirect and direct measures of situation awareness applicable for emergency settings. Methods Electronic databases and search engines were searched from 1980 to 2010, including CINAHL, Ovid Medline, Pro-Quest, Cochrane, and the search engine, Google Scholar. Access strategies included keyword, author, and journal searches. Publications identified were assessed for relevance, and analyzed and synthesized using Oxford evidence levels and the Critical Appraisal Skills Programme guidelines in order to assess their quality and rigor. Results One hundred and thirteen papers were initially identified, and reduced to 55 following title and abstract review. The final selection included 14 papers drawn from the fields of emergency medicine, intensive care, anesthetics, and surgery. Ten of these discussed four general nontechnical skill measures (including situation awareness) and four incorporated the Situation Awareness Global Assessment Technique. Conclusion A range of direct and indirect techniques for measuring situation awareness is available. In the medical literature, indirect approaches are the most common, with situation awareness measured as part of a nontechnical skills assessment. In simulation-based studies, situation awareness in emergencies tends to be suboptimal, indicating the need for improved training techniques to enhance awareness and improve decision-making. PMID:27147872

  12. Awareness of nutrition problems among Vietnamese health and education professionals.

    PubMed

    Pham, Thi Hai Quynh; Worsley, Anthony; Lawrence, Mark; Marshall, Bernie

    2017-10-01

    Professionals who provide nutrition education and consulting to the public are encouraged to take into account the health, environmental and social contexts that influence health-related attitudes and behaviours in the population. This paper examined the awareness of shifts in population health outcomes associated with the nutrition transition in Vietnam among university nutrition lecturers, health professionals and school education professionals. Most of these professionals held accurate views of the current population health issues in Vietnam. However, they differed in their awareness of the seriousness of overweight and obesity. Although the majority indicated that the prevalence of obesity and non-communicable diseases (NCDs) had increased, nearly half believed that the government should complete its attempts to control undernutrition before trying to control obesity. More health professionals believed that food marketing was responsible for the growing prevalence of children's obesity, and more of them disapproved of the marketing of less healthy food to children. In contrast, the university nutrition lecturers were least aware of food marketing and the seriousness of obesity. Of the three groups, the university nutrition lecturers held less accurate perceptions of nutrition transition problems and their likely drivers. There is an urgent need for greater provision of public nutrition education for all three groups of professionals. © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

  13. Thermal balneotherapy in Antsirabe-Madagascar: water analysis and its applications in an African context.

    PubMed

    Pedrazzini, Alessio; Delsignore, Roberto; Martelli, Alessandra; Tocco, Silvio; Vaienti, Enrico; Ceccarelli, Francesco; Pogliacomi, Francesco

    2016-04-15

    The Orthopaedic Rehabilitation Centre of Madagascar can be found in the city of Antsirabe. The health care facility is equipped with 2 thermal sources of bicarbonate water used for post-operative rehabilitation and for the ailment of chronic degenerative illnesses. The aim of this study, which derives from the cooperation between the School of Specialization in Thermal Therapy of the University of Parma and Antsirabe Orthopaedic Hospital, is to analyze the real properties of thermal waters utilized in this centre and to do an overview of its possible applications in this particular African context.

  14. Burger or yogurt? Indulgent consumption in impression management contexts.

    PubMed

    Cheng, Yin-Hui; Huang, Molly C-J; Chuang, Shih-Chieh; Ju, Ying Rung

    2015-10-01

    We conducted three studies to investigate indulgent choice in settings with and without impression management by public-private manipulation with evaluation. Study 1 showed that the participants were less indulgent under public scrutiny due to the employment of impression management. Study 2 focused on the impression management context to test the moderate effect of self-consciousness in two impression managed contexts. Study 3 focused on context without impression management to test the moderate effects of self-awareness on choices. We found that depending on differences in primed personality, individuals tended to make choices other than those they favoured privately when anticipating that others might form impressions of them based on the decisions made. The findings of all three studies support our basic prediction that people are less indulgent under impression management and suggest that people tend to manage their impression by eating healthier (less indulgently) in public. © 2014 International Union of Psychological Science.

  15. Temporally extended self-awareness and affective engagement in three-year-olds.

    PubMed

    Zocchi, Silvia; Borasio, Francesca; Rivolta, Davide; Rositano, Luana; Scotti, Ilaria; Liccione, Davide

    2018-01-01

    The aim of the current study was to analyze the role of affective engagement during social interaction on the emergence of a temporally extended self (TES). A Delayed Self Recognition task was administered in two different social contexts: in presence of the mother ("Mother condition") or in presence of an unfamiliar person ("Experimenter condition"). The same sample of 71 tree-year-olds was tested twice in these two treatment conditions. Results showed higher self-recognition scores in the "Mother condition". These findings are consistent with developing-self theories that emphasize the impact of reciprocal social interaction on the emergence of self-awareness, and support a conception of the Self as a dialogic entity. We interpreted this link as a evidence that, when completing the procedure with their mother, children are aware of her attention, which corresponds to a familiar mode of self-perception, as well as to a peculiar affective consciousness of Self. Copyright © 2017 Elsevier Inc. All rights reserved.

  16. Norm-Aware Socio-Technical Systems

    NASA Astrophysics Data System (ADS)

    Savarimuthu, Bastin Tony Roy; Ghose, Aditya

    The following sections are included: * Introduction * The Need for Norm-Aware Systems * Norms in human societies * Why should software systems be norm-aware? * Case Studies of Norm-Aware Socio-Technical Systems * Human-computer interactions * Virtual environments and multi-player online games * Extracting norms from big data and software repositories * Norms and Sustainability * Sustainability and green ICT * Norm awareness through software systems * Where To, From Here? * Conclusions

  17. Descartes discarded? Introspective self-awareness and the problems of transparency and compositionality.

    PubMed

    Werning, Markus

    2010-09-01

    What has the self to be like such that introspective awareness of it is possible? The paper asks if Descartes's idea of an inner self can be upheld and discusses this issue by invoking two principles: the phenomenal transparency of experience and the semantic compositionality of conceptual content. It is assumed that self-awareness is a second-order state either in the domain of experience or in the domain of thought. In the former case self-awareness turns out empty if experience is transparent. In the latter, it can best be conceived of as a form of mental quotation. Various proposed analyses of direct and indirect quotation are discussed and tested regarding their applicability to thought. It is concluded that, on the assumption of compositionality, the inner self is only insofar accessible to awareness as it has an accessible phonological (or otherwise subsymbolic) structure, as apparently only inner speech does. Copyright © 2010 Elsevier Inc. All rights reserved.

  18. Traffic-engineering-aware shortest-path routing and its application in IP-over-WDM networks [Invited

    NASA Astrophysics Data System (ADS)

    Lee, Youngseok; Mukherjee, Biswanath

    2004-03-01

    Single shortest-path routing is known to perform poorly for Internet traffic engineering (TE) where the typical optimization objective is to minimize the maximum link load. Splitting traffic uniformly over equal-cost multiple shortest paths in open shortest path first and intermediate system-intermediate system protocols does not always minimize the maximum link load when multiple paths are not carefully selected for the global traffic demand matrix. However, a TE-aware shortest path among all the equal-cost multiple shortest paths between each ingress-egress pair can be selected such that the maximum link load is significantly reduced. IP routers can use the globally optimal TE-aware shortest path without any change to existing routing protocols and without any serious configuration overhead. While calculating TE-aware shortest paths, the destination-based forwarding constraint at a node should be satisfied, because an IP router will forward a packet to the next hop toward the destination by looking up the destination prefix. We present a mathematical problem formulation for finding a set of TE-aware shortest paths for the given network as an integer linear program, and we propose a simple heuristic for solving large instances of the problem. Then we explore the usage of our proposed algorithm for the integrated TE method in IP-over-WDM networks. The proposed algorithm is evaluated through simulations in IP networks as well as in IP-over-WDM networks.

  19. E-Book and Printed Book Reading in Different Contexts as Emergent Literacy Facilitator

    ERIC Educational Resources Information Center

    Korat, Ofra; Segal-Drori, Ora

    2016-01-01

    Research Findings: We present 3 studies that focused on preschoolers' electronic book (e-book) reading in different contexts aimed at supporting children's early literacy. In Study 1 we researched the impact of children's age and number of independent readings on phonological awareness and word reading. We found that all age groups benefited from…

  20. Assessing Genetic Literacy Awareness and Knowledge Gaps in the US Population: Results from the Health Information National Trends Survey.

    PubMed

    Krakow, Melinda; Ratcliff, Chelsea L; Hesse, Bradford W; Greenberg-Worisek, Alexandra J

    2018-05-31

    Public understanding of the role of genetics in disease risk is key to appropriate disease prevention and detection. This study assessed the current extent of awareness and use of genetic testing in the US population. Additionally, the study identified characteristics of subgroups more likely to be at risk for low genetic literacy. The study used data from the National Cancer Institute's 2017 Health Information National Trends Survey, including measures of genetic testing awareness, genetic testing applications and genetic testing usage. Multivariable logistic regression models estimated associations between sociodemographics, genetic testing awareness, and genetic testing use. Fifty-seven percent of respondents were aware of genetic tests. Testing awareness differed by age, household income, and race/ethnicity. Most participants had heard of using tests to determine personal disease risk (82.58%) or inherited disease risk in children (81.41%), but less were familiar with determining treatment (38.29%) or drug efficacy (40.76%). Among those with genetic testing awareness, actual testing uptake was low. A large portion of the general public lacks genetic testing awareness and may benefit from educational campaigns. As precision medicine expands, increasing public awareness about genetic testing applications for disease prevention and treatment will be important to support population health. This is a work of the US Government and is not subject to copyright protection in the United States. Foreign copyrights may apply. Published by S. Karger AG, Basel.