WorldWideScience

Sample records for brain integrates information

  1. Postnatal experiences influence how the brain integrates information from different senses

    Directory of Open Access Journals (Sweden)

    Barry E Stein

    2009-09-01

    Full Text Available Sensory Processing Disorder (SPD is characterized by anomalous reactions to, and integration of, sensory cues. Although the underlying etiology of SPD is unknown, one brain region likely to reflect these sensory and behavioral anomalies is the Superior Colliculus (SC; a structure involved in the synthesis of information from multiple sensory modalities and the control of overt orientation responses. In this review we describe normal functional properties of this structure, the manner in which its individual neurons integrate cues from different senses, and the overt SC-mediated behaviors that are believed to manifest this “multisensory integration.” Of particular interest here is how SC neurons develop their capacity to engage in multisensory integration during early postnatal life as a consequence of early sensory experience, and that it is the intimate communication between cortex and the midbrain makes this developmental process possible.

  2. Integrated modeling of PET and DTI information based on conformal brain mapping

    Science.gov (United States)

    Zou, Guangyu; Xi, Yongjian; Heckenburg, Greg; Duan, Ye; Hua, Jing; Gu, Xiangfeng

    2006-03-01

    Recent advances in imaging technologies, such as Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET) and Diffusion Tensor Imaging (DTI) have accelerated brain research in many aspects. In order to better understand the synergy of the many processes involved in normal brain function, integrated modeling and analysis of MRI, PET, and DTI is highly desirable. Unfortunately, the current state-of-art computational tools fall short in offering a comprehensive computational framework that is accurate and mathematically rigorous. In this paper we present a framework which is based on conformal parameterization of a brain from high-resolution structural MRI data to a canonical spherical domain. This model allows natural integration of information from co-registered PET as well as DTI data and lays the foundation for a quantitative analysis of the relationship between diverse data sets. Consequently, the system can be designed to provide a software environment able to facilitate statistical detection of abnormal functional brain patterns in patients with a large number of neurological disorders.

  3. Adaptive integration of local region information to detect fine-scale brain activity patterns

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    With the rapid development of functional magnetic resonance imaging (fMRI) technology, the spatial resolution of fMRI data is continuously growing. This pro- vides us the possibility to detect the fine-scale patterns of brain activities. The es- tablished univariate and multivariate methods to analyze fMRI data mostly focus on detecting the activation blobs without considering the distributed fine-scale pat- terns within the blobs. To improve the sensitivity of the activation detection, in this paper, multivariate statistical method and univariate statistical method are com- bined to discover the fine-grained activity patterns. For one voxel in the brain, a local homogenous region is constructed. Then, time courses from the local ho- mogenous region are integrated with multivariate statistical method. Univariate statistical method is finally used to construct the interests of statistic for that voxel. The approach has explicitly taken into account the structures of both activity pat- terns and existing noise of local brain regions. Therefore, it could highlight the fine-scale activity patterns of the local regions. Experiments with simulated and real fMRI data demonstrate that the proposed method dramatically increases the sensitivity of detection of fine-scale brain activity patterns which contain the subtle information about experimental conditions.

  4. Information Integrity

    Science.gov (United States)

    Graves, Eric

    2013-01-01

    This dissertation introduces the concept of Information Integrity, which is the detection and possible correction of information manipulation by any intermediary node in a communication system. As networks continue to grow in complexity, information theoretic security has failed to keep pace. As a result many parties whom want to communicate,…

  5. What constitutes information integrity?

    OpenAIRE

    S. Flowerday; R. von Solms

    2008-01-01

    This research focused on what constitutes information integrity as this is a problem facing companies today. Moreover, information integrity is a pillar of information security and is required in order to have a sound security management programme. However, it is acknowledged that 100% information integrity is not currently achievable due to various limitations and therefore the auditing concept of reasonable assurance is adopted. This is in line with the concept that 100% information securit...

  6. What constitutes information integrity?

    OpenAIRE

    S. Flowerday; R. von Solms

    2007-01-01

    This research focused on what constitutes information integrity as this is a problem facing companies today. Moreover, information integrity is a pillar of information security and is required in order to have a sound security management programme. However, it is acknowledged that 100% information integrity is not currently achievable due to various limitations and therefore the auditing concept of reasonable assurance is adopted. This is in line with the concept that 100% information securit...

  7. What constitutes information integrity?

    Directory of Open Access Journals (Sweden)

    S. Flowerday

    2008-01-01

    Full Text Available This research focused on what constitutes information integrity as this is a problem facing companies today. Moreover, information integrity is a pillar of information security and is required in order to have a sound security management programme. However, it is acknowledged that 100% information integrity is not currently achievable due to various limitations and therefore the auditing concept of reasonable assurance is adopted. This is in line with the concept that 100% information security is not achievable and the notion that adequate security is the goal, using appropriate countermeasures. The main contribution of this article is to illustrate the importance of and provide a macro view of what constitutes information integrity. The findings are in harmony with Samuel Johnson's words (1751: 'Integrity without knowledge is weak and useless, and knowledge without integrity is dangerous and dreadful.'

  8. Measuring Integrated Information from the Decoding Perspective.

    Science.gov (United States)

    Oizumi, Masafumi; Amari, Shun-ichi; Yanagawa, Toru; Fujii, Naotaka; Tsuchiya, Naotsugu

    2016-01-01

    Accumulating evidence indicates that the capacity to integrate information in the brain is a prerequisite for consciousness. Integrated Information Theory (IIT) of consciousness provides a mathematical approach to quantifying the information integrated in a system, called integrated information, Φ. Integrated information is defined theoretically as the amount of information a system generates as a whole, above and beyond the amount of information its parts independently generate. IIT predicts that the amount of integrated information in the brain should reflect levels of consciousness. Empirical evaluation of this theory requires computing integrated information from neural data acquired from experiments, although difficulties with using the original measure Φ precludes such computations. Although some practical measures have been previously proposed, we found that these measures fail to satisfy the theoretical requirements as a measure of integrated information. Measures of integrated information should satisfy the lower and upper bounds as follows: The lower bound of integrated information should be 0 and is equal to 0 when the system does not generate information (no information) or when the system comprises independent parts (no integration). The upper bound of integrated information is the amount of information generated by the whole system. Here we derive the novel practical measure Φ* by introducing a concept of mismatched decoding developed from information theory. We show that Φ* is properly bounded from below and above, as required, as a measure of integrated information. We derive the analytical expression of Φ* under the Gaussian assumption, which makes it readily applicable to experimental data. Our novel measure Φ* can generally be used as a measure of integrated information in research on consciousness, and also as a tool for network analysis on diverse areas of biology.

  9. Brain Radiation Information Data Exchange (BRIDE): Integration of experimental data from low-dose ionising radiation research for pathway discovery

    NARCIS (Netherlands)

    C. Karapiperis (Christos); S.J. Kempf (Stefan J.); R. Quintens (Roel); O. Azimzadeh (Omid); V.L. Vidal (Victoria Linares); S. Pazzaglia; D. Bazyka (Dimitry); P.G. Mastroberardino (Pier); Z.G. Scouras (Zacharias G.); S. Tapio (Soile); M.A. Benotmane (Mohammed Abderrafi); C.A. Ouzounis (Christos A.)

    2016-01-01

    textabstractBackground: The underlying molecular processes representing stress responses to low-dose ionising radiation (LDIR) in mammals are just beginning to be understood. In particular, LDIR effects on the brain and their possible association with neurodegenerative disease are currently being ex

  10. When are new hippocampal neurons, born in the adult brain, integrated into the network that processes spatial information?

    Directory of Open Access Journals (Sweden)

    C Jimena Sandoval

    Full Text Available Adult-born neurons in the dentate gyrus (DG functionally integrate into the behaviorally relevant hippocampal networks, showing a specific Arc-expression response to spatial exploration when mature. However, it is not clear when, during the 4- to 6-week interval that is critical for survival and maturation of these neurons, this specific response develops. Therefore, we characterized Arc expression after spatial exploration or cage control conditions in adult-born neurons from rats that were injected with BrdU on one day and were sacrificed 1, 7, 15, 30, and 45 days post-BrdU injection (PBI. Triple immunostaining for NeuN, Arc, and BrdU was analyzed through the different DG layers. Arc protein expression in BrdU-positive cells was observed from day 1 to day 15 PBI but was not related to behavioral stimulation. The specific Arc-expression response to spatial exploration was observed from day 30 and 45 in about 5% of the BrdU-positive cell population. Most of the BrdU-positive neurons expressing Arc in response to spatial exploration (∼90% were located in DG layer 1, and no Arc expression was observed in cells located in the subgranular zone (SGZ. Using the current data and that obtained previously, we propose a mathematical model suggesting that new neurons are unlikely to respond to exploration by expressing Arc after they are 301 days old, and also that in a 7-month-old rat the majority (60% of the neurons that respond to exploration must have been born during adulthood; thus, suggesting that adult neurogenesis in the DG is highly relevant for spatial information processing.

  11. On-line integration of semantic information from speech and gesture: Insights from event-related brain potentials

    NARCIS (Netherlands)

    Özyürek, A.; Willems, R.M.; Kita, S.; Hagoort, P.

    2007-01-01

    During language comprehension, listeners use the global semantic representation from previous sentence or discourse context to immediately integrate the meaning of each upcoming word into the unfolding message-level representation. Here we investigate whether communicative gestures that often sponta

  12. Integrated healthcare information systems.

    Science.gov (United States)

    Miller, J

    1995-01-01

    When it comes to electronic data processing in healthcare, we offer a guarded, but hopeful, prognosis. To be sure, the age of electronic information processing has hit healthcare. Employers, insurance companies, hospitals, physicians and a host of ancillary service providers are all being ushered into a world of high speed, high tech electronic information. Some are even predicting that the health information business will grow from $20 billion to over $100 billion in a decade. Yet, out industry lags behind other industries in its overall movement to the paperless world. Selecting and installing the most advanced integrated information system isn't a simple task, as we've seen. As in life, compromises can produce less than optimal results. Nevertheless, integrated healthcare systems simply won't achieve their goals without systems designed to support the operation of a continuum of services. That's the reality! It is difficult to read about the wonderful advances in other sectors, while realizing that many trees still fall each year in the name of the health care industry. Yes, there are some outstanding examples of organizations pushing the envelop in a variety of areas. Yet from a very practical standpoint, many (like our physician's office) are still struggling or are on the sidelines wondering what to do. Given the competitive marketplace, organizations without effective systems may not have long to wonder and wait.

  13. Information: theory, brain, and behavior.

    Science.gov (United States)

    Jensen, Greg; Ward, Ryan D; Balsam, Peter D

    2013-11-01

    In the 65 years since its formal specification, information theory has become an established statistical paradigm, providing powerful tools for quantifying probabilistic relationships. Behavior analysis has begun to adopt these tools as a novel means of measuring the interrelations between behavior, stimuli, and contingent outcomes. This approach holds great promise for making more precise determinations about the causes of behavior and the forms in which conditioning may be encoded by organisms. In addition to providing an introduction to the basics of information theory, we review some of the ways that information theory has informed the studies of Pavlovian conditioning, operant conditioning, and behavioral neuroscience. In addition to enriching each of these empirical domains, information theory has the potential to act as a common statistical framework by which results from different domains may be integrated, compared, and ultimately unified.

  14. Integration of design information

    Science.gov (United States)

    Anderton, G. L.

    1980-01-01

    The overall concepts of the integrated programs for aerospace-vehicle design (IPAD) from the user's viewpoint are discussed. Also a top-level view of what the user requires from such a system is provided, and the interactions between the system and user are described. The four major components discussed are design process; data storage, management and manipulation; user interface; and project management. Although an outgrowth of aerospace production experience, the basic concepts discussed, and especially their emphasis on integration, are considered applicable to all problem solving. Thus, these concepts may offer a broad base for exploitation by industry in general. This is the first in a set of three papers, the other two being Future Integrated Design Process, by D. D. Mayer, and Requirements for Company-Wide Management of Engineering Information, by J. W. Southall. In addition to tying the three together, how project management can be handled in a computing environment and also the user interface needs are discussed in detail.

  15. Integrated clinical information system.

    Science.gov (United States)

    Brousseau, G

    1995-01-01

    SIDOCI (Système Informatisé de DOnnées Cliniques Intégrées) is a Canadian joint venture introducing newly-operating paradigms into hospitals. The main goal of SIDOCI is to maintain the quality of care in todayUs tightening economy. SIDOCI is a fully integrated paperless patient-care system which automates and links all information about a patient. Data is available on-line and instantaneously to doctors, nurses, and support staff in the format that best suits their specific requirements. SIDOCI provides a factual and chronological summary of the patient's progress by drawing together clinical information provided by all professionals working with the patient, regardless of their discipline, level of experience, or physical location. It also allows for direct entry of the patient's information at the bedside. Laboratory results, progress notes, patient history and graphs are available instantaneously on screen, eliminating the need for physical file transfers. The system, incorporating a sophisticated clinical information database, an intuitive graphical user interface, and customized screens for each medical discipline, guides the user through standard procedures. Unlike most information systems created for the health care industry, SIDOCI is longitudinal, covering all aspects of the health care process through its link to various vertical systems already in place. A multidisciplinary team has created a clinical dictionary that provides the user with most of the information she would normally use: symptoms, signs, diagnoses, allergies, medications, interventions, etc. This information is structured and displayed in such a manner that health care professionals can document the clinical situation at the touch of a finger. The data is then encoded into the patient's file. Once encoded, the structured data is accessible for research, statistics, education, and quality assurance. This dictionary complies with national and international nomenclatures. It also

  16. Integrated Information Systems

    Directory of Open Access Journals (Sweden)

    Annika Moscati

    2012-11-01

    Full Text Available Currently in the field of management, enhancement, territory and cultural heritage analysis, two types of information systems offer significant tools: GIS (Geographic Information System and AIS (Architectural Information System. The first one manages urban and territorial scale data, the second one administers architectural scale data. For a complete management and analysis of heritage both scales (territorial-urban and architectural are essential. But despite numerous attempts made in recent years, currently no system is really able to manage them simultaneously. This study aims to create a hybrid system, which is a new interface that allows to simultaneously view an AIS, a GIS and a window for management of spatial queries. Considering the profound differences between the two systems, the ultimate goal is to integrate them by proposing a new Hybrid System (HS to solve the problem of scale change (from analysis to synthesis using a new data structure and a new interface. To achieve the ultimate goal it has been studied mainly: a the possibilities of implementation of the two systems; b spatial analysis and 3D topology.

  17. Rule-based information integration

    OpenAIRE

    Keijzer, de, S.; Keulen, van, H.

    2005-01-01

    In this report, we show the process of information integration. We specifically discuss the language used for integration. We show that integration consists of two phases, the schema mapping phase and the data integration phase. We formally define transformation rules, conversion, evolution and versioning. We further discuss the integration process from a data point of view.

  18. Information processing in miniature brains.

    Science.gov (United States)

    Chittka, L; Skorupski, P

    2011-03-22

    Since a comprehensive understanding of brain function and evolution in vertebrates is often hobbled by the sheer size of the nervous system, as well as ethical concerns, major research efforts have been made to understand the neural circuitry underpinning behaviour and cognition in invertebrates, and its costs and benefits under natural conditions. This special feature of Proceedings of the Royal Society B contains an idiosyncratic range of current research perspectives on neural underpinnings and adaptive benefits (and costs) of such diverse phenomena as spatial memory, colour vision, attention, spontaneous behaviour initiation, memory dynamics, relational rule learning and sleep, in a range of animals from marine invertebrates with exquisitely simple nervous systems to social insects forming societies with many thousands of individuals working together as a 'superorganism'. This introduction provides context and history to tie the various approaches together, and concludes that there is an urgent need to understand the full neuron-to-neuron circuitry underlying various forms of information processing-not just to explore brain function comprehensively, but also to understand how (and how easily) cognitive capacities might evolve in the face of pertinent selection pressures. In the invertebrates, reaching these goals is becoming increasingly realistic. PMID:21227971

  19. Markers for blood-brain barrier integrity

    DEFF Research Database (Denmark)

    Saunders, Norman R; Dziegielewska, Katarzyna M; Møllgård, Kjeld;

    2015-01-01

    In recent years there has been a resurgence of interest in brain barriers and various roles their intrinsic mechanisms may play in neurological disorders. Such studies require suitable models and markers to demonstrate integrity and functional changes at the interfaces between blood, brain...... known when first introduced, but seem to have been forgotten since. Understanding these limitations is important because Evans blue is still the most commonly used marker of brain barrier integrity and those using it seem oblivious to problems arising from its in vivo application. The introduction....... There is no single marker suitable for all purposes. A combination of different sized, visualizable dextrans and radiolabeled molecules currently seems to be the most appropriate approach for qualitative and quantitative assessment of barrier integrity....

  20. Integrating Retinoic Acid Signaling with Brain Function

    Science.gov (United States)

    Luo, Tuanlian; Wagner, Elisabeth; Drager, Ursula C.

    2009-01-01

    The vitamin A derivative retinoic acid (RA) regulates the transcription of about a 6th of the human genome. Compelling evidence indicates a role of RA in cognitive activities, but its integration with the molecular mechanisms of higher brain functions is not known. Here we describe the properties of RA signaling in the mouse, which point to…

  1. Integrated Compliance Information System (ICIS)

    Data.gov (United States)

    U.S. Environmental Protection Agency — The purpose of ICIS is to meet evolving Enforcement and Compliance business needs for EPA and State users by integrating information into a single integrated data...

  2. Pain: a distributed brain information network?

    Directory of Open Access Journals (Sweden)

    Hiroaki Mano

    2015-01-01

    Full Text Available Understanding how pain is processed in the brain has been an enduring puzzle, because there doesn't appear to be a single "pain cortex" that directly codes the subjective perception of pain. An emerging concept is that, instead, pain might emerge from the coordinated activity of an integrated brain network. In support of this view, Woo and colleagues present evidence that distinct brain networks support the subjective changes in pain that result from nociceptive input and self-directed cognitive modulation. This evidence for the sensitivity of distinct neural subsystems to different aspects of pain opens up the way to more formal computational network theories of pain.

  3. Integrated Risk Information System (IRIS)

    Data.gov (United States)

    U.S. Environmental Protection Agency — EPA?s Integrated Risk Information System (IRIS) is a compilation of electronic reports on specific substances found in the environment and their potential to cause...

  4. Information processing in miniature brains

    OpenAIRE

    Chittka, L.; Skorupski, P.

    2011-01-01

    Since a comprehensive understanding of brain function and evolution in vertebrates is often hobbled by the sheer size of the nervous system, as well as ethical concerns, major research efforts have been made to understand the neural circuitry underpinning behaviour and cognition in invertebrates, and its costs and benefits under natural conditions. This special feature of Proceedings of the Royal Society B contains an idiosyncratic range of current research perspectives on neural underpinning...

  5. Semantic Integration of Information Systems

    Directory of Open Access Journals (Sweden)

    Anna Lisa Guido

    2010-01-01

    Full Text Available In the previous years Information System manage only information inside the company, today a companymay search and manage information of the other companies. In this scenario the problem ofcommunication between Information Systems is of the highest importance. Up to the present moment,several types of integration have been used but all were founded on the agreement (about data to shareand the exchange format between the interested Information Systems. Today, thanks to the newtechnologies, it is possible that an Information System uses data of another Information System without aprevious agreement. The problem is that, often, the Information System may refer to the same data butwith different names. In this paper we present a methodology that, using ontology, and thus the intrinsicsemantic of each data of the Information System, allow to create a global ontology useful to enable asemantic communication between Information Systems.

  6. Brain activity patterns uniquely supporting visual feature integration after traumatic brain injury

    Directory of Open Access Journals (Sweden)

    Anjali eRaja Beharelle

    2011-12-01

    Full Text Available Traumatic brain injury (TBI patients typically respond more slowly and with more variability than controls during tasks of attention requiring speeded reaction time. These behavioral changes are attributable, at least in part, to diffuse axonal injury (DAI, which affects integrated processing in distributed systems. Here we use a multivariate method sensitive to distributed neural activity to compare brain activity patterns of patients with chronic phase moderate-to-severe TBI to those of controls during performance on a visual feature-integration task assessing complex attentional processes that has previously shown sensitivity to TBI. The TBI patients were carefully screened to be free of large focal lesions that can affect performance and brain activation independently of DAI. The task required subjects to hold either one or three features of a target in mind while suppressing responses to distracting information. In controls, the multi-feature condition activated a distributed network including limbic, prefrontal, and medial temporal structures. TBI patients engaged this same network in the single-feature and baseline conditions. In multi-feature presentations, TBI patients alone activated additional frontal, parietal, and occipital regions. These results are consistent with neuroimaging studies using tasks assessing different cognitive domains, where increased spread of brain activity changes was associated with TBI. Our results also extend previous findings that brain activity for relatively moderate task demands in TBI patients is similar to that associated with of high task demands in controls.

  7. Cyberinfrastructure for the digital brain: spatial standards for integrating rodent brain atlases

    Directory of Open Access Journals (Sweden)

    Ilya eZaslavsky

    2014-09-01

    Full Text Available Biomedical research entails capture and analysis of massive data volumes and new discoveries arise from data-integration and mining. This is only possible if data can be mapped onto a common framework such as the genome for genomic data. In neuroscience, the framework is intrinsically spatial and based on a number of paper atlases. This cannot meet today’s data-intensive analysis and integration challenges. A scalable and extensible software infrastructure that is standards based but open for novel data and resources, is required for integrating information such as signal distributions, gene-expression, neuronal connectivity, electrophysiology, anatomy, and developmental processes. Therefore, the International Neuroinformatics Coordinating Facility (INCF initiated the development of a spatial framework for neuroscience data integration with an associated Digital Atlasing Infrastructure (DAI. A prototype implementation of this infrastructure for the rodent brain is reported here. The infrastructure is based on a collection of reference spaces to which data is mapped at the required resolution, such as the Waxholm Space (WHS, a 3D reconstruction of the brain generated using high-resolution, multi-channel microMRI. The core standards of the digital atlasing service-oriented infrastructure include Waxholm Markup Language (WaxML: XML schema expressing a uniform information model for key elements such as coordinate systems, transformations, points of interest (POIs, labels, and annotations; and Atlas Web Services: interfaces for querying and updating atlas data. The services return WaxML-encoded documents with information about capabilities, spatial reference systems and structures, and execute coordinate transformations and POI-based requests. Key elements of INCF-DAI cyberinfrastructure have been prototyped for both mouse and rat brain atlas sources, including the Allen Mouse Brain Atlas, UCSD Cell-Centered Database, and Edinburgh Mouse Atlas

  8. Brain-Computer Interface Controlled Cyborg: Establishing a Functional Information Transfer Pathway from Human Brain to Cockroach Brain

    Science.gov (United States)

    2016-01-01

    An all-chain-wireless brain-to-brain system (BTBS), which enabled motion control of a cyborg cockroach via human brain, was developed in this work. Steady-state visual evoked potential (SSVEP) based brain-computer interface (BCI) was used in this system for recognizing human motion intention and an optimization algorithm was proposed in SSVEP to improve online performance of the BCI. The cyborg cockroach was developed by surgically integrating a portable microstimulator that could generate invasive electrical nerve stimulation. Through Bluetooth communication, specific electrical pulse trains could be triggered from the microstimulator by BCI commands and were sent through the antenna nerve to stimulate the brain of cockroach. Serial experiments were designed and conducted to test overall performance of the BTBS with six human subjects and three cockroaches. The experimental results showed that the online classification accuracy of three-mode BCI increased from 72.86% to 78.56% by 5.70% using the optimization algorithm and the mean response accuracy of the cyborgs using this system reached 89.5%. Moreover, the results also showed that the cyborg could be navigated by the human brain to complete walking along an S-shape track with the success rate of about 20%, suggesting the proposed BTBS established a feasible functional information transfer pathway from the human brain to the cockroach brain. PMID:26982717

  9. Brain-Computer Interface Controlled Cyborg: Establishing a Functional Information Transfer Pathway from Human Brain to Cockroach Brain.

    Science.gov (United States)

    Li, Guangye; Zhang, Dingguo

    2016-01-01

    An all-chain-wireless brain-to-brain system (BTBS), which enabled motion control of a cyborg cockroach via human brain, was developed in this work. Steady-state visual evoked potential (SSVEP) based brain-computer interface (BCI) was used in this system for recognizing human motion intention and an optimization algorithm was proposed in SSVEP to improve online performance of the BCI. The cyborg cockroach was developed by surgically integrating a portable microstimulator that could generate invasive electrical nerve stimulation. Through Bluetooth communication, specific electrical pulse trains could be triggered from the microstimulator by BCI commands and were sent through the antenna nerve to stimulate the brain of cockroach. Serial experiments were designed and conducted to test overall performance of the BTBS with six human subjects and three cockroaches. The experimental results showed that the online classification accuracy of three-mode BCI increased from 72.86% to 78.56% by 5.70% using the optimization algorithm and the mean response accuracy of the cyborgs using this system reached 89.5%. Moreover, the results also showed that the cyborg could be navigated by the human brain to complete walking along an S-shape track with the success rate of about 20%, suggesting the proposed BTBS established a feasible functional information transfer pathway from the human brain to the cockroach brain. PMID:26982717

  10. Natural brain-information interfaces: Recommending information by relevance inferred from human brain signals

    OpenAIRE

    Eugster, Manuel J. A.; Ruotsalo, Tuukka; Spapé, Michiel M.; Barral, Oswald; Ravaja, Niklas; Jacucci, Giulio; Kaski, Samuel

    2016-01-01

    Finding relevant information from large document collections such as the World Wide Web is a common task in our daily lives. Estimation of a user's interest or search intention is necessary to recommend and retrieve relevant information from these collections. We introduce a brain-information interface used for recommending information by relevance inferred directly from brain signals. In experiments, participants were asked to read Wikipedia documents about a selection of topics while their ...

  11. Ontology-Driven Information Integration

    Science.gov (United States)

    Tissot, Florence; Menzel, Chris

    2005-01-01

    Ontology-driven information integration (ODII) is a method of computerized, automated sharing of information among specialists who have expertise in different domains and who are members of subdivisions of a large, complex enterprise (e.g., an engineering project, a government agency, or a business). In ODII, one uses rigorous mathematical techniques to develop computational models of engineering and/or business information and processes. These models are then used to develop software tools that support the reliable processing and exchange of information among the subdivisions of this enterprise or between this enterprise and other enterprises.

  12. Integrated risk information system (IRIS)

    Energy Technology Data Exchange (ETDEWEB)

    Tuxen, L. [Environmental Protection Agency, Washington, DC (United States)

    1990-12-31

    The Integrated Risk Information System (IRIS) is an electronic information system developed by the US Environmental Protection Agency (EPA) containing information related to health risk assessment. IRIS is the Agency`s primary vehicle for communication of chronic health hazard information that represents Agency consensus following comprehensive review by intra-Agency work groups. The original purpose for developing IRIS was to provide guidance to EPA personnel in making risk management decisions. This original purpose for developing IRIS was to guidance to EPA personnel in making risk management decisions. This role has expanded and evolved with wider access and use of the system. IRIS contains chemical-specific information in summary format for approximately 500 chemicals. IRIS is available to the general public on the National Library of Medicine`s Toxicology Data Network (TOXNET) and on diskettes through the National Technical Information Service (NTIS).

  13. Theoretical information reuse and integration

    CERN Document Server

    Rubin, Stuart

    2016-01-01

    Information Reuse and Integration addresses the efficient extension and creation of knowledge through the exploitation of Kolmogorov complexity in the extraction and application of domain symmetry. Knowledge, which seems to be novel, can more often than not be recast as the image of a sequence of transformations, which yield symmetric knowledge. When the size of those transformations and/or the length of that sequence of transforms exceeds the size of the image, then that image is said to be novel or random. It may also be that the new knowledge is random in that no such sequence of transforms, which produces it exists, or is at least known. The nine chapters comprising this volume incorporate symmetry, reuse, and integration as overt operational procedures or as operations built into the formal representations of data and operators employed. Either way, the aforementioned theoretical underpinnings of information reuse and integration are supported.

  14. Nanophotonics for integrated information systems

    Science.gov (United States)

    Levy, Uriel; Tetz, Kevin; Rokitski, Rostislav; Kim, Hyu-Chang; Tsai, Chia-Ho; Abashin, Maxim; Pang, Lin; Zezhad, Maziar; Fainman, Yeshaiahu

    2006-02-01

    Optical technology plays an increasingly important role in numerous information system applications, including optical communications, storage, signal processing, biology, medicine, and sensing. As optical technology develops, there is a growing need to develop scalable and reliable photonic integration technologies. These include the development of passive and active optical components that can be integrated into functional optical circuits and systems, including filters, electrically or optically controlled switching fabrics, optical sources, detectors, amplifiers, etc. We explore the unique capabilities and advantages of nanotechnology in developing next generation integrated photonic information systems. Our approach includes design, modeling and simulations of selected components and devices, their nanofabrication, followed by validation via characterization and testing of the fabricated devices. The latter exploits our recently constructed near field complex amplitude imaging tool. The understanding of near field interactions in nanophotonic devices and systems is a crucial step as these interactions provide a variety of functionalities useful for optical systems integration. Furthermore, near-field optical devices facilitate miniaturization, and simultaneously enhance multifunctionality, greatly increasing the functional complexity per unit volume of the photonic system. Since the optical properties of near-field materials are controlled by the geometry, there is flexibility in the choice of constituent materials, facilitating the implementation of a wide range of devices using compatible materials for ease of fabrication and integration.

  15. An information integration theory of consciousness

    Directory of Open Access Journals (Sweden)

    Tononi Giulio

    2004-11-01

    Full Text Available Abstract Background Consciousness poses two main problems. The first is understanding the conditions that determine to what extent a system has conscious experience. For instance, why is our consciousness generated by certain parts of our brain, such as the thalamocortical system, and not by other parts, such as the cerebellum? And why are we conscious during wakefulness and much less so during dreamless sleep? The second problem is understanding the conditions that determine what kind of consciousness a system has. For example, why do specific parts of the brain contribute specific qualities to our conscious experience, such as vision and audition? Presentation of the hypothesis This paper presents a theory about what consciousness is and how it can be measured. According to the theory, consciousness corresponds to the capacity of a system to integrate information. This claim is motivated by two key phenomenological properties of consciousness: differentiation – the availability of a very large number of conscious experiences; and integration – the unity of each such experience. The theory states that the quantity of consciousness available to a system can be measured as the Φ value of a complex of elements. Φ is the amount of causally effective information that can be integrated across the informational weakest link of a subset of elements. A complex is a subset of elements with Φ>0 that is not part of a subset of higher Φ. The theory also claims that the quality of consciousness is determined by the informational relationships among the elements of a complex, which are specified by the values of effective information among them. Finally, each particular conscious experience is specified by the value, at any given time, of the variables mediating informational interactions among the elements of a complex. Testing the hypothesis The information integration theory accounts, in a principled manner, for several neurobiological observations

  16. Information integration for data fusion

    Energy Technology Data Exchange (ETDEWEB)

    Bray, O.H.

    1997-01-01

    Data fusion has been identified by the Department of Defense as a critical technology for the U.S. defense industry. Data fusion requires combining expertise in two areas - sensors and information integration. Although data fusion is a rapidly growing area, there is little synergy and use of common, reusable, and/or tailorable objects and models, especially across different disciplines. The Laboratory-Directed Research and Development project had two purposes: to see if a natural language-based information modeling methodology could be used for data fusion problems, and if so, to determine whether this methodology would help identify commonalities across areas and achieve greater synergy. The project confirmed both of the initial hypotheses: that the natural language-based information modeling methodology could be used effectively in data fusion areas and that commonalities could be found that would allow synergy across various data fusion areas. The project found five common objects that are the basis for all of the data fusion areas examined: targets, behaviors, environments, signatures, and sensors. Many of the objects and the specific facts related to these objects were common across several areas and could easily be reused. In some cases, even the terminology remained the same. In other cases, different areas had their own terminology, but the concepts were the same. This commonality is important with the growing use of multisensor data fusion. Data fusion is much more difficult if each type of sensor uses its own objects and models rather than building on a common set. This report introduces data fusion, discusses how the synergy generated by this LDRD would have benefited an earlier successful project and contains a summary information model from that project, describes a preliminary management information model, and explains how information integration can facilitate cross-treaty synergy for various arms control treaties.

  17. CORBA Based Information Integration Platform for CIMS

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    A new information integration platform for computer integrated manufacturing system(CIMS) is presented, which is based on agent and CORBA. CORBA enhances the system integration be-cause it is an industry-standard for interoperable, distributed objects across heterogeneous hardware andsoftware platform. Agent technology is used to improve intelligence of integration system. In order to im-plement the information integration platform, we use network integration server to integrate network, de-sign a generic database agent to integrate database, adopt multi-agent based architecture to integrate appli-cation, and utilize wrapper as CORBA object to integrate legacy code.

  18. New Information about Albert Einstein's Brain.

    Science.gov (United States)

    Falk, Dean

    2009-01-01

    In order to glean information about hominin (or other) brains that no longer exist, details of external neuroanatomy that are reproduced on endocranial casts (endocasts) from fossilized braincases may be described and interpreted. Despite being, of necessity, speculative, such studies can be very informative when conducted in light of the literature on comparative neuroanatomy, paleontology, and functional imaging studies. Albert Einstein's brain no longer exists in an intact state, but there are photographs of it in various views. Applying techniques developed from paleoanthropology, previously unrecognized details of external neuroanatomy are identified on these photographs. This information should be of interest to paleoneurologists, comparative neuroanatomists, historians of science, and cognitive neuroscientists. The new identifications of cortical features should also be archived for future scholars who will have access to additional information from improved functional imaging technology. Meanwhile, to the extent possible, Einstein's cerebral cortex is investigated in light of available data about variation in human sulcal patterns. Although much of his cortical surface was unremarkable, regions in and near Einstein's primary somatosensory and motor cortices were unusual. It is possible that these atypical aspects of Einstein's cerebral cortex were related to the difficulty with which he acquired language, his preference for thinking in sensory impressions including visual images rather than words, and his early training on the violin.

  19. Information Security and Integrity Systems

    Science.gov (United States)

    1990-01-01

    Viewgraphs from the Information Security and Integrity Systems seminar held at the University of Houston-Clear Lake on May 15-16, 1990 are presented. A tutorial on computer security is presented. The goals of this tutorial are the following: to review security requirements imposed by government and by common sense; to examine risk analysis methods to help keep sight of forest while in trees; to discuss the current hot topic of viruses (which will stay hot); to examine network security, now and in the next year to 30 years; to give a brief overview of encryption; to review protection methods in operating systems; to review database security problems; to review the Trusted Computer System Evaluation Criteria (Orange Book); to comment on formal verification methods; to consider new approaches (like intrusion detection and biometrics); to review the old, low tech, and still good solutions; and to give pointers to the literature and to where to get help. Other topics covered include security in software applications and development; risk management; trust: formal methods and associated techniques; secure distributed operating system and verification; trusted Ada; a conceptual model for supporting a B3+ dynamic multilevel security and integrity in the Ada runtime environment; and information intelligence sciences.

  20. Work-up times in an integrated brain cancer pathway

    DEFF Research Database (Denmark)

    Lund Laursen, Emilie; Rasmussen, Birthe Krogh

    2012-01-01

    The integrated brain cancer pathway (IBCP) aims to ensure fast-track diagnostics and treatment for brain cancers in Denmark. This paper focuses on the referral pattern and the time frame of key pathway elements during the first two years following implementation of the IBCP in a regional neurolog...

  1. The Center for Integrated Molecular Brain Imaging (Cimbi) database

    DEFF Research Database (Denmark)

    Knudsen, Gitte M.; Jensen, Peter S.; Erritzoe, David;

    2016-01-01

    We here describe a multimodality neuroimaging containing data from healthy volunteers and patients, acquired within the Lundbeck Foundation Center for Integrated Molecular Brain Imaging (Cimbi) in Copenhagen, Denmark. The data is of particular relevance for neurobiological research questions...

  2. Information Integration - the process of integration, evolution and versioning

    OpenAIRE

    Keijzer, de, Bart; Keulen, van, H.

    2005-01-01

    At present, many information sources are available wherever you are. Most of the time, the information needed is spread across several of those information sources. Gathering this information is a tedious and time consuming job. Automating this process would assist the user in its task. Integration of the information sources provides a global information source with all information needed present. All of these information sources also change over time. With each change of the information sour...

  3. Integration of language and sensor information

    Science.gov (United States)

    Perlovsky, Leonid I.; Weijers, Bertus

    2003-04-01

    The talk describes the development of basic technologies of intelligent systems fusing data from multiple domains and leading to automated computational techniques for understanding data contents. Understanding involves inferring appropriate decisions and recommending proper actions, which in turn requires fusion of data and knowledge about objects, situations, and actions. Data might include sensory data, verbal reports, intelligence intercepts, or public records, whereas knowledge ought to encompass the whole range of objects, situations, people and their behavior, and knowledge of languages. In the past, a fundamental difficulty in combining knowledge with data was the combinatorial complexity of computations, too many combinations of data and knowledge pieces had to be evaluated. Recent progress in understanding of natural intelligent systems, including the human mind, leads to the development of neurophysiologically motivated architectures for solving these challenging problems, in particular the role of emotional neural signals in overcoming combinatorial complexity of old logic-based approaches. Whereas past approaches based on logic tended to identify logic with language and thinking, recent studies in cognitive linguistics have led to appreciation of more complicated nature of linguistic models. Little is known about the details of the brain mechanisms integrating language and thinking. Understanding and fusion of linguistic information with sensory data represent a novel challenging aspect of the development of integrated fusion systems. The presentation will describe a non-combinatorial approach to this problem and outline techniques that can be used for fusing diverse and uncertain knowledge with sensory and linguistic data.

  4. Neo-classical principles for information integrity

    NARCIS (Netherlands)

    Christiaanse, R.; Hulstijn, J.

    2011-01-01

    Abstract: For inter-organizational systems, integrity of information is crucial: how to make sure that the information represented in a system will continue to faithfully represent business reality? In this paper we present a neo-classical approach to information integrity. We apply „classic‟ princi

  5. Integrated information theory: from consciousness to its physical substrate.

    Science.gov (United States)

    Tononi, Giulio; Boly, Melanie; Massimini, Marcello; Koch, Christof

    2016-07-01

    In this Opinion article, we discuss how integrated information theory accounts for several aspects of the relationship between consciousness and the brain. Integrated information theory starts from the essential properties of phenomenal experience, from which it derives the requirements for the physical substrate of consciousness. It argues that the physical substrate of consciousness must be a maximum of intrinsic cause-effect power and provides a means to determine, in principle, the quality and quantity of experience. The theory leads to some counterintuitive predictions and can be used to develop new tools for assessing consciousness in non-communicative patients.

  6. Brain Tumor Detection Based On Mathematical Analysis and Symmetry Information

    OpenAIRE

    G., Narkhede Sachin; Khairnar, Vaishali; Kadu, Sujata

    2014-01-01

    Image segmentation some of the challenging issues on brain magnetic resonance image tumor segmentation caused by the weak correlation between magnetic resonance imaging intensity and anatomical meaning.With the objective of utilizing more meaningful information to improve brain tumor segmentation,an approach which employs bilateral symmetry information as an additional feature for segmentation is proposed.This is motivated by potential performance improvement in the general automatic brain tu...

  7. The modular and integrative functional architecture of the human brain.

    Science.gov (United States)

    Bertolero, Maxwell A; Yeo, B T Thomas; D'Esposito, Mark

    2015-12-01

    Network-based analyses of brain imaging data consistently reveal distinct modules and connector nodes with diverse global connectivity across the modules. How discrete the functions of modules are, how dependent the computational load of each module is to the other modules' processing, and what the precise role of connector nodes is for between-module communication remains underspecified. Here, we use a network model of the brain derived from resting-state functional MRI (rs-fMRI) data and investigate the modular functional architecture of the human brain by analyzing activity at different types of nodes in the network across 9,208 experiments of 77 cognitive tasks in the BrainMap database. Using an author-topic model of cognitive functions, we find a strong spatial correspondence between the cognitive functions and the network's modules, suggesting that each module performs a discrete cognitive function. Crucially, activity at local nodes within the modules does not increase in tasks that require more cognitive functions, demonstrating the autonomy of modules' functions. However, connector nodes do exhibit increased activity when more cognitive functions are engaged in a task. Moreover, connector nodes are located where brain activity is associated with many different cognitive functions. Connector nodes potentially play a role in between-module communication that maintains the modular function of the brain. Together, these findings provide a network account of the brain's modular yet integrated implementation of cognitive functions.

  8. The modular and integrative functional architecture of the human brain.

    Science.gov (United States)

    Bertolero, Maxwell A; Yeo, B T Thomas; D'Esposito, Mark

    2015-12-01

    Network-based analyses of brain imaging data consistently reveal distinct modules and connector nodes with diverse global connectivity across the modules. How discrete the functions of modules are, how dependent the computational load of each module is to the other modules' processing, and what the precise role of connector nodes is for between-module communication remains underspecified. Here, we use a network model of the brain derived from resting-state functional MRI (rs-fMRI) data and investigate the modular functional architecture of the human brain by analyzing activity at different types of nodes in the network across 9,208 experiments of 77 cognitive tasks in the BrainMap database. Using an author-topic model of cognitive functions, we find a strong spatial correspondence between the cognitive functions and the network's modules, suggesting that each module performs a discrete cognitive function. Crucially, activity at local nodes within the modules does not increase in tasks that require more cognitive functions, demonstrating the autonomy of modules' functions. However, connector nodes do exhibit increased activity when more cognitive functions are engaged in a task. Moreover, connector nodes are located where brain activity is associated with many different cognitive functions. Connector nodes potentially play a role in between-module communication that maintains the modular function of the brain. Together, these findings provide a network account of the brain's modular yet integrated implementation of cognitive functions. PMID:26598686

  9. IMIS: Integrated Maintenance Information System. A maintenance information delivery concept

    Science.gov (United States)

    Vonholle, Joseph C.

    1987-01-01

    The Integrated Maintenance Information System (IMIS) will optimize the use of available manpower, enhance technical performance, improve training, and reduce the support equipment and documentation needed for deployment. It will serve as the technician's single, integrated source of all the technical information required to perform modern aircraft maintenance.

  10. Integrated Taxonomic Information System (ITIS)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — ITIS is an easily accessible database with reliable information on species names and their hierarchical classification that is publicly accessible with unlimited...

  11. Allen Brain Atlas: an integrated spatio-temporal portal for exploring the central nervous system.

    Science.gov (United States)

    Sunkin, Susan M; Ng, Lydia; Lau, Chris; Dolbeare, Tim; Gilbert, Terri L; Thompson, Carol L; Hawrylycz, Michael; Dang, Chinh

    2013-01-01

    The Allen Brain Atlas (http://www.brain-map.org) provides a unique online public resource integrating extensive gene expression data, connectivity data and neuroanatomical information with powerful search and viewing tools for the adult and developing brain in mouse, human and non-human primate. Here, we review the resources available at the Allen Brain Atlas, describing each product and data type [such as in situ hybridization (ISH) and supporting histology, microarray, RNA sequencing, reference atlases, projection mapping and magnetic resonance imaging]. In addition, standardized and unique features in the web applications are described that enable users to search and mine the various data sets. Features include both simple and sophisticated methods for gene searches, colorimetric and fluorescent ISH image viewers, graphical displays of ISH, microarray and RNA sequencing data, Brain Explorer software for 3D navigation of anatomy and gene expression, and an interactive reference atlas viewer. In addition, cross data set searches enable users to query multiple Allen Brain Atlas data sets simultaneously. All of the Allen Brain Atlas resources can be accessed through the Allen Brain Atlas data portal.

  12. How Does the Brain Organize Information?

    OpenAIRE

    Kroger, Helmut

    2009-01-01

    Cognitive processes in the brain, like learning, formation of memory, recovery of memorized images, classification of objects have two features: First, there is no supervisor in the brain who controls these processes. Second there is a hugh number of neurons (10^{6} to 10^{10}) involved in those cognitive tasks. For this reason, the search of understanding cognitive processes uses models built from a large number of neurons, but very much simplified neurons. The so-called neural networks have...

  13. Integrated Primary Care Information Database (IPCI)

    Science.gov (United States)

    The Integrated Primary Care Information Database is a longitudinal observational database that was created specifically for pharmacoepidemiological and pharmacoeconomic studies, inlcuding data from computer-based patient records supplied voluntarily by general practitioners.

  14. "BRAIN": Baruch Retrieval of Automated Information for Negotiations.

    Science.gov (United States)

    Levenstein, Aaron, Ed.

    1981-01-01

    A data processing program that can be used as a research and collective bargaining aid for colleges is briefly described and the fields of the system are outlined. The system, known as BRAIN (Baruch Retrieval of Automated Information for Negotiations), is designed primarily as an instrument for quantitative and qualitative analysis. BRAIN consists…

  15. Contextual information processing of brain in art appreciation.

    Science.gov (United States)

    Takahashi, Shigeko; Ejima, Yoshimichi

    2013-04-01

    A psycho-historical framework for the science of art appreciation will be an experimental discipline that may shed new light on the highest capacities of the human brain, yielding new scientific ways to talk about the art appreciation. The recent findings of the contextual information processing in the human brain make the concept of the art-historical context clear for empirical experimentation.

  16. Neurocomputational approaches to modelling multisensory integration in the brain: a review.

    Science.gov (United States)

    Ursino, Mauro; Cuppini, Cristiano; Magosso, Elisa

    2014-12-01

    The Brain's ability to integrate information from different modalities (multisensory integration) is fundamental for accurate sensory experience and efficient interaction with the environment: it enhances detection of external stimuli, disambiguates conflict situations, speeds up responsiveness, facilitates processes of memory retrieval and object recognition. Multisensory integration operates at several brain levels: in subcortical structures (especially the Superior Colliculus), in higher-level associative cortices (e.g., posterior parietal regions), and even in early cortical areas (such as primary cortices) traditionally considered to be purely unisensory. Because of complex non-linear mechanisms of brain integrative phenomena, a key tool for their understanding is represented by neurocomputational models. This review examines different modelling principles and architectures, distinguishing the models on the basis of their aims: (i) Bayesian models based on probabilities and realizing optimal estimator of external cues; (ii) biologically inspired models of multisensory integration in the Superior Colliculus and in the Cortex, both at level of single neuron and network of neurons, with emphasis on physiological mechanisms and architectural schemes; among the latter, some models exhibit synaptic plasticity and reproduce development of integrative capabilities via Hebbian-learning rules or self-organizing maps; (iii) models of semantic memory that implement object meaning as a fusion between sensory-motor features (embodied cognition). This overview paves the way to future challenges, such as reconciling neurophysiological and Bayesian models into a unifying theory, and stimulates upcoming research in both theoretical and applicative domains. PMID:25218929

  17. Brain Tumor Detection Based On Mathematical Analysis and Symmetry Information

    OpenAIRE

    Narkhede Sachin G.,; Prof. Vaishali Khairnar

    2014-01-01

    Image segmentation some of the challenging issues on brain magnetic resonance (MR) image tumor segmentation caused by the weak correlation between magnetic resonance imaging (MRI) intensity and anatomical meaning. With the objective of utilizing more meaningful information to improve brain tumor segmentation, an approach which employs bilateral symmetry information as an additional feature for segmentation is proposed. This is motivated by potential performance improvement in ...

  18. How Cognitive Plasticity Resolves the Brain's Information Processing Dilemma

    OpenAIRE

    Diankun Gong; Weiyi Ma; Kendrick, Keith M.; Qingqing Hu; Dezhong Yao

    2013-01-01

    A key unresolved question in cognitive science is whether the brain uses asynchronous or synchronous patterns of information transmission. Using an auditory learning task combined with electrophysiological recordings, we reveal for the first time that cognitive plasticity during learning transforms an asynchronous into a synchronous transmission pattern to achieve rapid, error-free performance. We also present a new model showing how the brain may resolve its information processing and transm...

  19. Guest editorial. Integrated healthcare information systems.

    Science.gov (United States)

    Li, Ling; Ge, Ri-Li; Zhou, Shang-Ming; Valerdi, Ricardo

    2012-07-01

    The use of integrated information systems for healthcare has been started more than a decade ago. In recent years, rapid advances in information integration methods have spurred tremendous growth in the use of integrated information systems in healthcare delivery. Various techniques have been used for probing such integrated systems. These techniques include service-oriented architecture (SOA), EAI, workflow management, grid computing, and others. Many applications require a combination of these techniques, which gives rise to the emergence of enterprise systems in healthcare. Development of the techniques originated from different disciplines has the potential to significantly improve the performance of enterprise systems in healthcare. This editorial paper briefly introduces the enterprise systems in the perspective of healthcare informatics. PMID:22760931

  20. Brain Tumor Detection Based On Symmetry Information

    OpenAIRE

    G., Narkhede Sachin; Khairnar, Vaishali

    2013-01-01

    Advances in computing technology have allowed researchers across many fields of endeavor to collect and maintain vast amounts of observational statistical data such as clinical data, biological patient data, data regarding access of web sites, financial data, and the like. This paper addresses some of the challenging issues on brain magnetic resonance (MR) image tumor segmentation caused by the weak correlation between magnetic resonance imaging (MRI) intensity and anatomical meaning. With th...

  1. Unveiling the mystery of visual information processing in human brain

    CERN Document Server

    Diamant, Emanuel

    2008-01-01

    It is generally accepted that human vision is an extremely powerful information processing system that facilitates our interaction with the surrounding world. However, despite extended and extensive research efforts, which encompass many exploration fields, the underlying fundamentals and operational principles of visual information processing in human brain remain unknown. We still are unable to figure out where and how along the path from eyes to the cortex the sensory input perceived by the retina is converted into a meaningful object representation, which can be consciously manipulated by the brain. Studying the vast literature considering the various aspects of brain information processing, I was surprised to learn that the respected scholarly discussion is totally indifferent to the basic keynote question: "What is information?" in general or "What is visual information?" in particular. In the old days, it was assumed that any scientific research approach has first to define its basic departure points. ...

  2. An integration of integrated information theory with fundamental physics.

    Science.gov (United States)

    Barrett, Adam B

    2014-01-01

    To truly eliminate Cartesian ghosts from the science of consciousness, we must describe consciousness as an aspect of the physical. Integrated Information Theory states that consciousness arises from intrinsic information generated by dynamical systems; however existing formulations of this theory are not applicable to standard models of fundamental physical entities. Modern physics has shown that fields are fundamental entities, and in particular that the electromagnetic field is fundamental. Here I hypothesize that consciousness arises from information intrinsic to fundamental fields. This hypothesis unites fundamental physics with what we know empirically about the neuroscience underlying consciousness, and it bypasses the need to consider quantum effects.

  3. Integrated Quality Information System of CIMS

    Institute of Scientific and Technical Information of China (English)

    2003-01-01

    The computer integrated manufacturing system (CIMS), which is called the 21st century's production mode, is the inevitable course of manufacturing industry development. The integrated quality information system (IQIS), which is the essential component of CIMS, will be the powerful assurance to carry out a CIMS project. In this paper, the concept and the system structure and function of IQIS are discussed. The relationship between IQIS and other component systems of CIMS is analyzed.

  4. Whole Brain Radiotherapy With Hippocampal Avoidance and Simultaneously Integrated Brain Metastases Boost: A Planning Study

    International Nuclear Information System (INIS)

    Purpose: To evaluate the feasibility of using tomotherapy to deliver whole brain radiotherapy with hippocampal avoidance, hypothesized to reduce the risk of memory function decline, and simultaneously integrated boost to brain metastases to improve intracranial tumor control. Methods and Materials: Ten patients treated with radiosurgery and whole brain radiotherapy underwent repeat planning using tomotherapy with the original computed tomography scans and magnetic resonance imaging-computed tomography fusion-defined target and normal structure contours. The individually contoured hippocampus was used as a dose-limiting structure (2 and 5.8 ± 1.9 Gy2 for 2.5- and 1.0-cm FW, respectively. The mean treatment delivery time for the 2.5- and 1.0-cm FW plans was 10.2 ± 1.0 and 21.8 ± 1.8 min, respectively. Conclusion: Composite tomotherapy plans achieved three objectives: homogeneous whole brain dose distribution equivalent to conventional whole brain radiotherapy; conformal hippocampal avoidance; and radiosurgically equivalent dose distributions to individual metastases

  5. Center for Integration of Natural Disaster Information

    Science.gov (United States)

    U.S. Geological Survey

    2001-01-01

    The U.S. Geological Survey's Center for Integration of Natural Disaster Information (CINDI) is a research and operational facility that explores methods for collecting, integrating, and communicating information about the risks posed by natural hazards and the effects of natural disasters. The U.S. Geological Survey (USGS) is mandated by the Robert Stafford Act to warn citizens of impending landslides, volcanic eruptions, and earthquakes. The USGS also coordinates with other Federal, State, and local disaster agencies to monitor threats to communities from floods, coastal storms, wildfires, geomagnetic storms, drought, and outbreaks of disease in wildlife populations.

  6. Efficient multilevel brain tumor segmentation with integrated bayesian model classification.

    Science.gov (United States)

    Corso, J J; Sharon, E; Dube, S; El-Saden, S; Sinha, U; Yuille, A

    2008-05-01

    We present a new method for automatic segmentation of heterogeneous image data that takes a step toward bridging the gap between bottom-up affinity-based segmentation methods and top-down generative model based approaches. The main contribution of the paper is a Bayesian formulation for incorporating soft model assignments into the calculation of affinities, which are conventionally model free. We integrate the resulting model-aware affinities into the multilevel segmentation by weighted aggregation algorithm, and apply the technique to the task of detecting and segmenting brain tumor and edema in multichannel magnetic resonance (MR) volumes. The computationally efficient method runs orders of magnitude faster than current state-of-the-art techniques giving comparable or improved results. Our quantitative results indicate the benefit of incorporating model-aware affinities into the segmentation process for the difficult case of glioblastoma multiforme brain tumor. PMID:18450536

  7. Assessing Extinction Risk: Integrating Genetic Information

    OpenAIRE

    Gary Vinyard; Jennifer Nielsen; C. Richard Tracy; Mary Peacock; Jason Dunham

    1999-01-01

    Risks of population extinction have been estimated using a variety of methods incorporating information from different spatial and temporal scales. We briefly consider how several broad classes of extinction risk assessments, including population viability analysis, incidence functions, and ranking methods integrate information on different temporal and spatial scales. In many circumstances, data from surveys of neutral genetic variability within, and among, populations can provide informatio...

  8. Integrated plant information technology design support functionality

    International Nuclear Information System (INIS)

    This technical report was written as a result of Integrated Plant Information System (IPIS) feasibility study on CANDU 9 project which had been carried out from January, 1994 to March, 1994 at AECL (Atomic Energy Canada Limited) in Canada. From 1987, AECL had done endeavour to change engineering work process from paper based work process to computer based work process through CANDU 3 project. Even though AECL had a lot of good results form computerizing the Process Engineering, Instrumentation Control and Electrical Engineering, Mechanical Engineering, Computer Aided Design and Drafting, and Document Management System, but there remains the problem of information isolation and integration. On this feasibility study, IPIS design support functionality guideline was suggested by evaluating current AECL CAE tools, analyzing computer aided engineering task and work flow, investigating request for implementing integrated computer aided engineering and describing Korean request for future CANDU design including CANDU 9. 6 figs. (Author)

  9. The Information Integration of CAPP in CIMS

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    This paper analyzes the flow of the process design an d the fountain of the technique data in a manufacturing enterprise, and discusse s the information flows between CAPP and other systems in CIMS, such as CAD syst em and Enterprise Resource Planning (ERP) system. And then, it discusses the pla ns of information integration between CAPP and CAD, as well as between CAPP and ERP. To design the processes of a product requires the manufacture information, such as blank material and machine tool, which is s...

  10. Curriculum integrated information literacy: a challenge

    DEFF Research Database (Denmark)

    Bønløkke, Mette; Kobow, Else; Kristensen, Anne-Kirstine Østergaard

    2012-01-01

    Information literacy is a competence needed for students and for practitioners in the nursing profession. A curriculum integrated intervention was qualitatively evaluated by focus group interviews of students, lecturers and the university librarian. Information literacy makes sense for students...... when it is linked to assignments, timed right, prepared, systematic and continuous. Support is needed to help students understand the meaning of seeking information, to focus their problem and to make them reflect on their search and its results. Feedback on materials used is also asked for...

  11. Whole brain helical Tomotherapy with integrated boost for brain metastases in patients with malignant melanoma–a randomized trial

    International Nuclear Information System (INIS)

    Patients with malignant melanoma may develop brain metastases during the course of the disease, requiring radiotherapeutic treatment. In patients with 1–3 brain metastases, radiosurgery has been established as a treatment option besides surgery. For patients with 4 or more brain metastases, whole brain radiotherapy is considered the standard treatment. In certain patients with brain metastases, radiation treatment using whole brain helical Tomotherapy with integrated boost and hippocampal-sparing may improve prognosis of these patients. The present prospective, randomized two-armed trial aims to exploratory investigate the treatment response to conventional whole brain radiotherapy applying 30 Gy in 10 fractions versus whole brain helical Tomotherapy applying 30 Gy in 10 fractions with an integrated boost of 50 Gy to the brain metastases as well as hippocampal-sparing in patients with brain metastases from malignant melanoma. The main inclusion criteria include magnetic resonance imaging confirmed brain metastases from a histopathologically confirmed malignant melanoma in patients with a minimum age of 18 years. The main exclusion criteria include a previous radiotherapy of the brain and not having recovered from acute high-grade toxicities of prior therapies. The primary endpoint is treatment-related toxicity. Secondary endpoints include imaging response, local and loco-regional progression-free survival, overall survival and quality of life

  12. Brain Tumor Detection Based On Mathematical Analysis and Symmetry Information

    Directory of Open Access Journals (Sweden)

    Narkhede Sachin G.,

    2014-02-01

    Full Text Available Image segmentation some of the challenging issues on brain magnetic resonance (MR image tumor segmentation caused by the weak correlation between magnetic resonance imaging (MRI intensity and anatomical meaning. With the objective of utilizing more meaningful information to improve brain tumor segmentation, an approach which employs bilateral symmetry information as an additional feature for segmentation is proposed. This is motivated by potential performance improvement in the general automatic brain tumor segmentation systems which are important for many medical and scientific applications. Brain Magnetic Resonance Imaging (MRI segmentation is a complex problem in the field of medical imaging despite various presented methods. MR image of human brain can be divided into several sub-regions especially soft tissues such as gray matter, white matter and cerebrospinal fluid. Although edge information is the main clue in image segmentation, it can’t get a better result in analysis the content of images without combining other information. Our goal is to detect the position and boundary of tumors automatically. Experiments were conducted on real pictures, and the results show that the algorithm is flexible and convenient.

  13. Information management through integration of distributed resources.

    Science.gov (United States)

    Stead, W W

    1988-07-01

    Duke University Medical Center conducted a strategic planning process focused on information management needs beginning in 1983 and ending in 1985. That effort concluded that the institution was ready to establish an Integrated Academic Information Management System (IAIMS). A model was proposed in which information management was to be achieved through integrated distributed resources. The elements of the IAIMS model are ongoing policy development and planning; communications; an electronic library or resource inventory; coordination of the development or selection of the end-user function; user support; and ongoing evaluation. This model is being tested to determine its effectiveness in meeting the administrative, patient care, research, and educational needs of a basic science department and a clinical science department at Duke University.

  14. Integrating neuroinformatics tools in TheVirtualBrain

    Directory of Open Access Journals (Sweden)

    M Marmaduke Woodman

    2014-04-01

    Full Text Available TheVirtualBrain (TVB is a neuroinformatics Python package representing theconvergence of clinical, systems, and theoretical neuroscience in the analysis,visualization and modeling of neural and neuroimaging dynamics. TVB iscomposed of a flexible simulator for neural dynamics measured across scalesfrom local populations to large-scale dynamics measured byelectroencephalography (EEG, magnetoencephalography (MEG and functionalmagnetic resonance imaging (fMRI, and core analytic and visualizationfunctions, all accessible through a web browser user interface. A datatypesystem modeling neuroscientific data ties together these pieces with persistentdata storage, based on a combination of SQL & HDF5. These datatypes combinewith adapters allowing TVB to integrate other algorithms or computationalsystems. TVB provides infrastructure for multiple projects and multiple users,possibly participating under multiple roles. For example, a clinician mightimport patient data to identify several potential lesion points in thepatient's connectome. A modeler, working on the same project, tests thesepoints for viability through whole brain simulation, based on the patient'sconnectome, and subsequent analysis of dynamical features. TVB also drivesresearch forward: the simulator itself represents the culmination of severalsimulation frameworks in the modeling literature. The availability of thenumerical methods, set of neural mass models and forward solutions allows forthe construction of a wide range of brain-scale simulation scenarios. Thispaper briefly outlines the history and motivation for TVB, describing theframework and simulator, giving usage examples in the web UI and Pythonscripting.

  15. Integrating neuroinformatics tools in TheVirtualBrain.

    Science.gov (United States)

    Woodman, M Marmaduke; Pezard, Laurent; Domide, Lia; Knock, Stuart A; Sanz-Leon, Paula; Mersmann, Jochen; McIntosh, Anthony R; Jirsa, Viktor

    2014-01-01

    TheVirtualBrain (TVB) is a neuroinformatics Python package representing the convergence of clinical, systems, and theoretical neuroscience in the analysis, visualization and modeling of neural and neuroimaging dynamics. TVB is composed of a flexible simulator for neural dynamics measured across scales from local populations to large-scale dynamics measured by electroencephalography (EEG), magnetoencephalography (MEG) and functional magnetic resonance imaging (fMRI), and core analytic and visualization functions, all accessible through a web browser user interface. A datatype system modeling neuroscientific data ties together these pieces with persistent data storage, based on a combination of SQL and HDF5. These datatypes combine with adapters allowing TVB to integrate other algorithms or computational systems. TVB provides infrastructure for multiple projects and multiple users, possibly participating under multiple roles. For example, a clinician might import patient data to identify several potential lesion points in the patient's connectome. A modeler, working on the same project, tests these points for viability through whole brain simulation, based on the patient's connectome, and subsequent analysis of dynamical features. TVB also drives research forward: the simulator itself represents the culmination of several simulation frameworks in the modeling literature. The availability of the numerical methods, set of neural mass models and forward solutions allows for the construction of a wide range of brain-scale simulation scenarios. This paper briefly outlines the history and motivation for TVB, describing the framework and simulator, giving usage examples in the web UI and Python scripting. PMID:24795617

  16. On the bimanual integration of proprioceptive information.

    Science.gov (United States)

    Kuehn, Esther; De Havas, Jack; Silkoset, Emilie; Gomi, Hiroaki; Haggard, Patrick

    2015-04-01

    Proprioception can be defined as the sense for body movement and position. While most sensory information can be successfully integrated across hemispheres, little is known about the bilateral integration of proprioceptive information. In two behavioural experiments, we investigated whether estimates of the position of one hand are influenced by simultaneous proprioceptive information from the other hand. We further investigated whether such putative bimanual proprioceptive integration would differ between expert dancers and non-dancer controls. Either one hand or both hands were passively moved to novel positions, and participants indicated the perceived location of the index finger tip of the designated target hand, by orienting a visible laser beam mounted on a cap. Synchronized bimanual movements compared to unimanual movements significantly improved proprioceptive position sense. In particular, we found a bias reduction to perceive the target hand's index finger tip as shifted away from the midline in the bimanual condition, compared to the unimanual condition. Expert dancers, in contrast, did not show this change in proprioceptive position sense after bimanual movements. We suggest that bimanual movements may improve proprioception due to interhemispheric integration in controls, but not in expert dancers.

  17. From the genome to the phenome and back: linking genes with human brain function and structure using genetically informed neuroimaging

    DEFF Research Database (Denmark)

    Siebner, H R; Callicott, J H; Sommer, T;

    2009-01-01

    In recent years, an array of brain mapping techniques has been successfully employed to link individual differences in circuit function or structure in the living human brain with individual variations in the human genome. Several proof-of-principle studies provided converging evidence that brain...... imaging can establish important links between genes and behaviour. The overarching goal is to use genetically informed brain imaging to pinpoint neurobiological mechanisms that contribute to behavioural intermediate phenotypes or disease states. This special issue on "Linking Genes to Brain Function......, the integration of genetic and neuroimaging data also poses major methodological and conceptual challenges. Therefore, this special issue also focuses on how these challenges can be met to fully exploit the synergism of genetically informed brain imaging....

  18. Neurodynamics analysis of brain information transmission

    Institute of Scientific and Technical Information of China (English)

    Ru-bin WANG; Zhi-kang ZHANG; Chi K. Tse

    2009-01-01

    This paper proposes a model of neural networks consisting of populations of perceptive neurons, inter-neurons, and motor neurons according to the theory of stochastic phase resetting dynamics. According to this model, the dynamical characteristics of neural networks are studied in three coupling cases, namely, series and parallel coupling, series coupling, and unilateral coupling. The results show that the indentified structure of neural networks enables the basic characteristics of neural information processing to be described in terms of the actions of both the optional motor and the reflected motor. The excitation of local neural networks is caused by the action of the optional motor. In particular, the excitation of the neural population caused by the action of the optional motor in the motor cortex is larger than that caused by the action of the reflected motor. This phenomenon indicates that there are more neurons participating in the neural information processing and the excited synchronization motion under the action of the optional motor.

  19. Information delivery manuals to integrate building product information into design

    DEFF Research Database (Denmark)

    Berard, Ole Bengt; Karlshøj, Jan

    2011-01-01

    . Traditional business process modeling languages often fail to completely cover all four perspectives. BuildingSMART has proposed Information Delivery Manuals (IDMs) to model and re-engineer processes that address the four perspectives through a collaborative methodology in order to standardize and implement......Despite continuing BIM progress, professionals in the AEC industry often lack the information they need to perform their work. Although this problem could be alleviated by information systems similar to those in other industries, companies struggle to model processes and information needs......, and (3) to ascertain whether IDM’s business rules can support the development of information and logic-bearing BIM objects. The research is based on a case study of re-engineering the bidding process for a design-build project to integrate building product manufacturers, subcontractors...

  20. Information delivery manuals to integrate building product information into design

    DEFF Research Database (Denmark)

    Berard, Ole Bengt; Karlshøj, Jan

    2013-01-01

    . Traditional business process modeling languages often fail to completely cover all four perspectives. BuildingSMART has proposed Information Delivery Manuals (IDMs) to model and re-engineer processes that address the four perspectives through a collaborative methodology in order to standardize and implement......Despite continuing BIM progress, professionals in the AEC industry often lack the information they need to perform their work. Although this problem could be alleviated by information systems similar to those in other industries, companies struggle to model processes and information needs......, and (3) to ascertain whether IDM's business rules can support the development of information and logic-bearing BIM objects. The research is based on a case study of reengineering the bidding process for a design-build project to integrate building product manufacturers, subcontractors and their knowledge...

  1. Integrated Administration of the Organizations Informational Resources

    Directory of Open Access Journals (Sweden)

    2007-01-01

    Full Text Available Organizations grow and develop continuosly and information volume grows in the same rythm, which makes from improvement or changing the old counting systems an imperative. More and more companies, instead of continuing to invest in small applications choose integrated informational solutions, which are adapted to the user’s daily needsfrom, all decisional levels. Although apparently profitable from the costs point of view, small applications assure only the simple economical solutions between clients, partners, furnisors, and employees. For high business volume companies, this kind of applications become useless in a short time, fact that involves extra sustained investitions

  2. Integrated Engineering Information Technology, FY93 accommplishments

    Energy Technology Data Exchange (ETDEWEB)

    Harris, R.N.; Miller, D.K.; Neugebauer, G.L.; Orona, J.R.; Partridge, R.A.; Herman, J.D.

    1994-03-01

    The Integrated Engineering Information Technology (IEIT) project is providing a comprehensive, easy-to-use computer network solution or communicating with coworkers both inside and outside Sandia National Laboratories. IEIT capabilities include computer networking, electronic mail, mechanical design, and data management. These network-based tools have one fundamental purpose: to help create a concurrent engineering environment that will enable Sandia organizations to excel in today`s increasingly competitive business environment.

  3. Integrated image information management: research issues

    Science.gov (United States)

    Mehrotra, Rajiv; Pierson, William E., Jr.

    1995-06-01

    A vast number of applications including defense, medical, manufacturing, law enforcement, digital library, education, space exploration, weather forecasting, and entertainment require efficient management of huge collections of nonalphanumeric data. The most common and important nonalphanumeric data in most of these applications is image data. Owing to the availability of a variety of visual sensors, several large collections of images and related anciliary data exists and are rapidly growing. Examples of such collections include LANDSAT, weather, medical, and DoD target signature images. Unfortunately, in most cases only a fraction of the collected data is ever utilized to its full potential. The primary reason for this under-utilization is the lack of pictorial data management techniques/systems. Conventional data management systems are not designed to handle pictorial data in an integrated fashion, i.e., images and alphanumeric data are not treated equally. In such systems, an image is stored as a tag field in the description of some entity. Images are not entities and they cannot be key fields. Furthermore, content-based retrieval of images and related data is not possible. Therefore, new data management technologies need to be developed for an integrated management of textual and imagery data. This requires a clear understanding of the requirements and desireable characteristics of a pictorial data management system. In almost all image information management (or integrated image database) applications, image information modeling, content-based image information retrieval, and memeory management are the most important issues to be resolved. In this paper, the requirements of an integrated image information management system and the challenges posed by image data from the data modeling, the content-based retrieval, and the memory management viewpoints are discussed.

  4. Intelligent Support for Solving Classification Differences in Statistical Information Integration

    NARCIS (Netherlands)

    Jonker, C.M.; Verwaart, D.

    2003-01-01

    Integration of heterogeneous statistics is essential for political decision making on all levels. Like in intelligent information integration in general, the problem is to combine information from different autonomous sources, using different ontologies. However, in statistical information integrati

  5. Read My Lips: Brain Dynamics Associated with Audiovisual Integration and Deviance Detection.

    Science.gov (United States)

    Tse, Chun-Yu; Gratton, Gabriele; Garnsey, Susan M; Novak, Michael A; Fabiani, Monica

    2015-09-01

    Information from different modalities is initially processed in different brain areas, yet real-world perception often requires the integration of multisensory signals into a single percept. An example is the McGurk effect, in which people viewing a speaker whose lip movements do not match the utterance perceive the spoken sounds incorrectly, hearing them as more similar to those signaled by the visual rather than the auditory input. This indicates that audiovisual integration is important for generating the phoneme percept. Here we asked when and where the audiovisual integration process occurs, providing spatial and temporal boundaries for the processes generating phoneme perception. Specifically, we wanted to separate audiovisual integration from other processes, such as simple deviance detection. Building on previous work employing ERPs, we used an oddball paradigm in which task-irrelevant audiovisually deviant stimuli were embedded in strings of non-deviant stimuli. We also recorded the event-related optical signal, an imaging method combining spatial and temporal resolution, to investigate the time course and neuroanatomical substrate of audiovisual integration. We found that audiovisual deviants elicit a short duration response in the middle/superior temporal gyrus, whereas audiovisual integration elicits a more extended response involving also inferior frontal and occipital regions. Interactions between audiovisual integration and deviance detection processes were observed in the posterior/superior temporal gyrus. These data suggest that dynamic interactions between inferior frontal cortex and sensory regions play a significant role in multimodal integration.

  6. Dyslipidemia and Blood-Brain Barrier Integrity in Alzheimer's Disease

    Directory of Open Access Journals (Sweden)

    Gene L. Bowman

    2012-01-01

    Full Text Available Background. Blood-brain barrier (BBB dysfunction may have a significant role in the pathogenesis of Alzheimer's disease (AD. Modifiable factors associated with BBB function may have therapeutic implication. This study tested the hypothesis that dyslipidemia is associated with BBB impairment in mild-to-moderate AD. Methods. Thirty-six subjects with AD were followed for 1 year. Fasting CSF and plasma were collected with clinical assessments at baseline and 12 months. BBB impairment was defined as CSF albumin index ≥9. Independent t-tests and linear regression assessed the relationship between plasma lipoproteins and BBB integrity. Results. Dyslipidemia was prevalent in 47% of the population, and in 75% of those with BBB impairment. Subjects with BBB impairment had significantly higher mean plasma triglyceride and lower HDL cholesterol (TG, P=0.007; HDL, P=0.043. Plasma triglycerides explained 22% of the variance in BBB integrity and remained significant after controlling for age, gender, ApoE-4 genotype, blood pressure, and statin use. Conclusion. Dyslipidemia is more prevalent in AD subjects with BBB impairment. Plasma triglyceride and HDL cholesterol may have a role in maintaining BBB integrity in mild-to-moderate Alzheimer's disease.

  7. Information management in an integrated space telerobot

    Science.gov (United States)

    Dipippo, S.; Pasquariello, G.; Labini, G. Sylos

    1989-01-01

    The in-orbit operations, like space structures inspection, servicing and repairing, is expected to be one of the most significant technological area for application and development of Robotics and Automation in Space Station environment. The Italian National Space Plan (PSN) has started up its strategic programme SPIDER (Space Inspection Device for Extravehicular Repairs), which is scheduled in three phases, with the final goal of performing docking and precision repairing in the Space Station environment. SPIDER system is an autonomous integrated space robot, using mature Artificial Intelligence tools and technics for its operational control. The preliminary results of a study on the information architecture of the spacecraft are described.

  8. Brain Tumor Database, a free relational database for collection and analysis of brain tumor patient information.

    Science.gov (United States)

    Bergamino, Maurizio; Hamilton, David J; Castelletti, Lara; Barletta, Laura; Castellan, Lucio

    2015-03-01

    In this study, we describe the development and utilization of a relational database designed to manage the clinical and radiological data of patients with brain tumors. The Brain Tumor Database was implemented using MySQL v.5.0, while the graphical user interface was created using PHP and HTML, thus making it easily accessible through a web browser. This web-based approach allows for multiple institutions to potentially access the database. The BT Database can record brain tumor patient information (e.g. clinical features, anatomical attributes, and radiological characteristics) and be used for clinical and research purposes. Analytic tools to automatically generate statistics and different plots are provided. The BT Database is a free and powerful user-friendly tool with a wide range of possible clinical and research applications in neurology and neurosurgery. The BT Database graphical user interface source code and manual are freely available at http://tumorsdatabase.altervista.org.

  9. The BRAIN Initiative Provides a Unifying Context for Integrating Core STEM Competencies into a Neurobiology Course

    OpenAIRE

    Schaefer, Jennifer E.

    2016-01-01

    The Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative introduced by the Obama Administration in 2013 presents a context for integrating many STEM competencies into undergraduate neuroscience coursework. The BRAIN Initiative core principles overlap with core STEM competencies identified by the AAAS Vision and Change report and other entities. This neurobiology course utilizes the BRAIN Initiative to serve as the unifying theme that facilitates a primary emphasis ...

  10. Cognitive information processing and learning mechanisms of the brain.

    Science.gov (United States)

    Majovski, L V; Jacques, S

    1982-05-01

    The view that the two cerebral hemispheres of the human brain are characterized by different cognitive processing modes that handle information received in various forms is commonly accepted by neurobehavioral scientists and neuropsychologists. Selected neuroanatomical, electrophysiological, neurochemical, biochemical, and neuropsychological data that bear on a cognitive information-processing model of the brain are presented. Processes involved in memory functions are discussed in regard to the nature of thought and the characteristics of mental life, e.g., internalization of thought, perception, arousal, attention, cognitive development, problem solving, the development of cognitive encoding, and selective recall. We present a position that argues for the brain as being flexible vs. fixed in its characteristics and limitations, drawing from various theories and viewpoints. We also present a review of selected mechanisms believed to be involved in brain-behavior processes, e.g., learning, cognition, pain, emotion, reward, cognitive development, and memory formation. A major theme addressed in terms of human information processing is that cognitive functioning, in a variety of instances, comprises subsets of more general processes, e.g., selective recall, cueing that is capable of addressing schemas, notions of inhibition and disinhibition, and the modulation of excitatory properties of certain neural transmitter substances. Questions such as "how is information stored in memory in the first place?" and "how do elements of motivation (i.e., goal orientation) get connected and then send their messages to appropriate inbound behaviors?" are addressed from the point of view that learning, although not understood completely, is somehow involved. Another unresolved question of theoretical and practical significance that we address is "how does learning result in neural connections?" Such questions are discussed in light of their implications for human memory, thought

  11. Brain-on-a-chip integrated neuronal networks

    NARCIS (Netherlands)

    Xie, Sijia

    2016-01-01

    The brain-on-a-chip technology aims to provide an efficient and economic in vitro platform for brain disease study. In the well-known literature on brain-on-a-chip systems, nonstructured surfaces were conventionally used for the cell attachment in a culture chamber, therefore the neuronal networks g

  12. Europlanet Integrated and Distributed Information Service

    Science.gov (United States)

    Schmidt, W.; Capria, M. T.; Chanteur, G.

    2009-04-01

    During the past decades the various disciplines in planetary sciences have developed to a very high international standard. But the collaboration between the different fields should be improved. To overcome the current fragmentation of the EU Planetary Science community and thereby to increase the scientific return of the related investment, the EU commission is funding via its Framework Program 7 the development of the "Europlanet Research Infrastructure -Europlanet RI". The Europlanet RI will consolidate the integration of the European Planetary Science community which started with Europlanet's FP6 project and will integrate major parts of the related distributed European infrastructure to be shared, fed and expanded by all planetary scientists. This infrastructure encompasses as diverse components as space exploration, ground-based observations, laboratory experiments and numerical modeling teams. Europlanet RI aims at bringing scientists from Europe and beyond together who are working in these fields, support the exchange of experts and ideas and make as many resources and data as possible available to the research community. A central part of Europlanet RI is the "Integrated and Distributed Information Service" or Europlanet-IDIS. The task of IDIS as central part of Europlanet is to provide an easy-to-use Web-based platform to locate teams and laboratories with special knowledge needed to support the own research activities, give access to the wealth of already available data, initiate new research activities needed to interpret accumulated data or to solve open questions, and to exploit synergies between space-based missions and capabilities of ground based observatories. It also offers to a wide range of teams and laboratories the possibility to share their data, advertise their capabilities and increase the scientific return by cooperation. IDIS is organized as an EU FP7 Support Activity, consisting of different access nodes which are connected by

  13. The Center for Integrated Molecular Brain Imaging (Cimbi) database.

    Science.gov (United States)

    Knudsen, Gitte M; Jensen, Peter S; Erritzoe, David; Baaré, William F C; Ettrup, Anders; Fisher, Patrick M; Gillings, Nic; Hansen, Hanne D; Hansen, Lars Kai; Hasselbalch, Steen G; Henningsson, Susanne; Herth, Matthias M; Holst, Klaus K; Iversen, Pernille; Kessing, Lars V; Macoveanu, Julian; Madsen, Kathrine Skak; Mortensen, Erik L; Nielsen, Finn Årup; Paulson, Olaf B; Siebner, Hartwig R; Stenbæk, Dea S; Svarer, Claus; Jernigan, Terry L; Strother, Stephen C; Frokjaer, Vibe G

    2016-01-01

    We here describe a multimodality neuroimaging containing data from healthy volunteers and patients, acquired within the Lundbeck Foundation Center for Integrated Molecular Brain Imaging (Cimbi) in Copenhagen, Denmark. The data is of particular relevance for neurobiological research questions related to the serotonergic transmitter system with its normative data on the serotonergic subtype receptors 5-HT1A, 5-HT1B, 5-HT2A, and 5-HT4 and the 5-HT transporter (5-HTT), but can easily serve other purposes. The Cimbi database and Cimbi biobank were formally established in 2008 with the purpose to store the wealth of Cimbi-acquired data in a highly structured and standardized manner in accordance with the regulations issued by the Danish Data Protection Agency as well as to provide a quality-controlled resource for future hypothesis-generating and hypothesis-driven studies. The Cimbi database currently comprises a total of 1100 PET and 1000 structural and functional MRI scans and it holds a multitude of additional data, such as genetic and biochemical data, and scores from 17 self-reported questionnaires and from 11 neuropsychological paper/computer tests. The database associated Cimbi biobank currently contains blood and in some instances saliva samples from about 500 healthy volunteers and 300 patients with e.g., major depression, dementia, substance abuse, obesity, and impulsive aggression. Data continue to be added to the Cimbi database and biobank. PMID:25891375

  14. Phenotypic integration of brain size and head morphology in Lake Tanganyika Cichlids

    OpenAIRE

    Tsuboi, Masahito; González-Voyer, Alejandro; Kolm, N.

    2014-01-01

    Abstract Background Phenotypic integration among different anatomical parts of the head is a common phenomenon across vertebrates. Interestingly, despite centuries of research into the factors that contribute to the existing variation in brain size among vertebrates, little is known about the role of phenotypic integration in brain size diversification. Here we used geometric morphometrics on the morphologically diverse Tanganyikan cichlids to investigate phenotypic integration across key mor...

  15. Reduced Predictable Information in Brain Signals in Autism Spectrum Disorder

    Directory of Open Access Journals (Sweden)

    Carlos eGomez

    2014-02-01

    Full Text Available Autism spectrum disorder (ASD is a common developmental disorder characterized by communication difficulties and impaired social interaction. Recent results suggest altered brain dynamics as a potential cause of symptoms in ASD. Here, we aim to describe potential information-processing consequences of these alterations by measuring active information storage (AIS – a key quantity in the theory of distributed computation in biological networks. AIS is defined as the mutual information between the semi-infinite past of a process and its next state. It measures the amount of stored information that is used for computation of the next time step of a process. AIS is high for rich but predictable dynamics. We recorded magnetoencephalography (MEG signals in 13 ASD patients and 14 matched control subjects in a visual task. After a beamformer source analysis, twelve task-relevant sources were obtained. For these sources, stationary baseline activity was analyzed using AIS. Our results showed a decrease of AIS values in the hippocampus of ASD patients in comparison with controls, meaning that brain signals in ASD were either less predictable, reduced in their dynamic richness or both. Our study suggests the usefulness of AIS to detect an abnormal type of dynamics in ASD. The observed changes in AIS are compatible with Bayesian theories of reduced use or precision of priors in ASD.

  16. An integrative view on sex differences in brain tumors

    OpenAIRE

    Sun, Tao; Plutynski, Anya; Ward, Stacey; Rubin, Joshua B.

    2015-01-01

    Sex differences in human health and disease can range from undetectable to profound. Differences in brain tumor rates and outcome are evident in males and females throughout the world and regardless of age. These observations indicate that fundamental aspects of sex determination can impact the biology of brain tumors. It is likely that optimal personalized approaches to the treatment of male and female brain tumor patients will require recognizing and understanding the ways in which the biol...

  17. Androgen modulation of social decision making mechanisms in the brain: an integrative and embodied perspective

    Directory of Open Access Journals (Sweden)

    Rui F Oliveira

    2014-07-01

    Full Text Available Apart from their role in reproduction androgens also respond to social challenges and this response has been seen as a way to regulate the expression of behaviour according to the perceived social environment (Challenge hypothesis, Wingfield et al. 1990. This hypothesis implies that social decision-making mechanisms localized in the central nervous system (CNS are open to the influence of peripheral hormones that ultimately are under the control of the CNS through the hypothalamic-pituitary-gonadal axis. Therefore, two puzzling questions emerge at two different levels of biological analysis: (1 Why does the brain, which perceives the social environment and regulates androgen production in the gonad, need feedback information from the gonad to adjust its social decision-making processes? (2 How does the brain regulate gonadal androgen responses to social challenges and how do these feedback into the brain? In this paper, we will address these two questions using the integrative approach proposed by Niko Tinbergen, who proposed that a full understanding of behaviour requires its analysis at both proximate (physiology, ontogeny and ultimate (ecology, evolution levels.

  18. Information retrieval for intelligent information integration in nuclear power plant

    International Nuclear Information System (INIS)

    The present study aimed at investigating functional requirements for information retrieval method to develop integrated information management for nuclear power plant and also aimed at developing a prototype system based on the extracted requirements. Among several requirements for supporting intelligent activities of plant operators, the focus has been set on the support function for effective retrieval from stored database, which is consistent with the cognitive process of operators. The functions of the quick wave form search based on partial similarity and of the data search based on hierarchically defined attributes have been realized with the man-machine interface for practical use. As for the quick wave form search based on partial similarity, the validity of this method has been evaluated through the numerical experiments for searching artificially induced wave form simulating signal anomalies. As for the data search based on hierarchically defined attributes, the validity of the proposed system has been shown through the process of possible user and system interaction for anomaly detection and retrospective analysis when some anomalies arise in terms of frequency characteristics in a specific frequency band. (author)

  19. Concurrent Engineering Oriented CAx/DFx Information Integration

    Institute of Scientific and Technical Information of China (English)

    1999-01-01

    The information integration, especially in CAD/CAPP/CAM, is a basis for realizing the integrated and concurrent product development in Concurrent Engineering (CE) environment. The integration technology based on STEP application protocol gives an effective way for the CAx/DFx information integration. This paper discusses the characteristics of concurrent product development, analyzes the methodology and technology of STEP, proposes an information integration approach based on STEP AP214, and presents the strategy of product data integration and an integration system implementation architecture. The integration technology based on STEP application protocol and the ST-Developer tools is realized in a prototype system to support product data integration between CAD and its follow-up systems through STEP physical file and STEP information exchange interface.

  20. Three-dimensional visualization of functional brain tissue and functional magnetic resonance imaging-integrated neuronavigation in the resection of brain tumor adjacent to motor cortex

    International Nuclear Information System (INIS)

    Objective: To assess the value of three -dimensional visualization of functional brain tissue and the functional magnetic resonance imaging (fMRI)-integrated neuronavigation in the resection of brain tumor adjacent to motor cortex. Method: Sixty patients with tumor located in the central sulcus were enrolled. Thirty patients were randomly assigned to function group and 30 to control group. Patients in function group underwent fMRI to localize the functional brain tissues. Then the function information was transferred to the neurosurgical navigator. The patients in control group underwent surgery with navigation without function information. The therapeutic effect, excision rate. improvement of motor function, and survival quality during follow-up were analyzed. Result: All patients in function group were accomplished visualization of functional brain tissues and fMRI-integrated neuronavigation. The locations of tumors, central sulcus and motor cortex were marked during the operation. The fMRI -integrated information played a great role in both pre- and post-operation. Pre-operation: designing the location of the skin flap and window bone, determining the relationship between the tumor and motor cortex, and designing the pathway for the resection. Post- operation: real-time navigation of relationship between the tumor and motor cortex, assisting to localize the motor cortex using interoperation ultra-sound for correcting the displacement by the CSF outflow and collapsing tumor. The patients in the function group had better results than the patients in the control group in therapeutic effect (u=2.646, P=0.008), excision rate (χ=7.200, P<0.01), improvement of motor function (u=2.231, P=0.026), and survival quality (KPS uc= 2.664, P=0.008; Zubrod -ECOG -WHO uc=2.135, P=0.033). Conclusions: Using preoperative three -dimensional visualization of cerebral function tissue and the fMRI-integrated neuronavigation technology, combining intraoperative accurate positioning

  1. A Model for Information Integration Using Service Oriented Architectur

    Directory of Open Access Journals (Sweden)

    C. Punitha Devi

    2014-06-01

    Full Text Available Business agility remains to be the keyword that drives the business into different directions and enabling a 360 degree shift in the business process. To achieve agility the organization should work on real time information and data. The need to have instant access to information appears to be ever shine requirement of all organizations or enterprise. Access to information does not come directly with a single query but a complex process termed Information integration. Information integration has been in existence for the past two decades and has been progressive up to now. The challenges and issues keep on persisting as information integration problem evolves by itself. This paper addresses the issues in the approaches, techniques and models pertaining to information integration and identifies the problem for a need for a complete model. As SOA is the architectural style that is changing the business patterns today, this paper proposes a service oriented model for information integration. The model mainly focuses on giving a complete structure for information integration that is adaptable to any environment and open in nature. Here information is converted into service and then the information services are integrated through service oriented integration to provide the integrated information also as service.

  2. The role of right frontal brain regions in integration of spatial relation.

    Science.gov (United States)

    Han, Jiahui; Cao, Bihua; Cao, Yunfei; Gao, Heming; Li, Fuhong

    2016-06-01

    Previous studies have explored the neural mechanisms of spatial reasoning on a two-dimensional (2D) plane; however, it remains unclear how spatial reasoning is conducted in a three-dimensional (3D) condition. In the present study, we presented 3D geometric objects to 16 adult participants, and asked them to process the spatial relationship between different corners of the geometric objects. In premise-1, the first two corners of a geometric shape (e.g., A vs. B) were displayed. In premise-2, the second and third corners (e.g., B vs. C) were displayed. After integrating the two premises, participants were required to infer the spatial relationship between the first and the third corners (e.g., A and C). Finally, the participants were presented with a conclusion object, and they were required to judge whether the conclusion was true or false based on their inference. The event-related potential evoked by premise-2 revealed that (1) compared with 2D spatial reasoning, 3D reasoning elicited a smaller P3b component, and (2) in the right frontal areas, increased negativities were found in the 3D condition during the N400 and late negative components (LNC). These findings imply that higher brain activity in the right frontal brain regions were related with the integration and maintenance of spatial information in working memory for reasoning.

  3. Allostasis and the Human Brain: Integrating Models of Stress from the Social and Life Sciences

    Science.gov (United States)

    Ganzel, Barbara L.; Morris, Pamela A.; Wethington, Elaine

    2010-01-01

    We draw on the theory of allostasis to develop an integrative model of the current stress process that highlights the brain as a dynamically adapting interface between the changing environment and the biological self. We review evidence that the core emotional regions of the brain constitute the primary mediator of the well-established association…

  4. The BRAIN Initiative Provides a Unifying Context for Integrating Core STEM Competencies into a Neurobiology Course.

    Science.gov (United States)

    Schaefer, Jennifer E

    2016-01-01

    The Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative introduced by the Obama Administration in 2013 presents a context for integrating many STEM competencies into undergraduate neuroscience coursework. The BRAIN Initiative core principles overlap with core STEM competencies identified by the AAAS Vision and Change report and other entities. This neurobiology course utilizes the BRAIN Initiative to serve as the unifying theme that facilitates a primary emphasis on student competencies such as scientific process, scientific communication, and societal relevance while teaching foundational neurobiological content such as brain anatomy, cellular neurophysiology, and activity modulation. Student feedback indicates that the BRAIN Initiative is an engaging and instructional context for this course. Course module organization, suitable BRAIN Initiative commentary literature, sample primary literature, and important assignments are presented.

  5. Integration of GIS and multimedia information based on ORDBMS

    Institute of Scientific and Technical Information of China (English)

    Quanbing HE; Fei WANG; Chao CHEN

    2008-01-01

    GIS not includes only spatial data and attribute data, but also multimedia information. How to integrate and manage these data effectively is very important. With the development of the technology of Object-Relation DBMS (ORDBMS), it improved the capability of managing complicated information. With ORDBMS, GIS and multimedia information can be integrated together and can speed accessing files by using "buffer".

  6. Knowledge and information management for integrated water resource management

    Science.gov (United States)

    Watershed information systems that integrate data and analytical tools are critical enabling technologies to support Integrated Water Resource Management (IWRM) by converting data into information, and information into knowledge. Many factors bring people to the table to participate in an IWRM fra...

  7. The NASA Integrated Information Technology Architecture

    Science.gov (United States)

    Baldridge, Tim

    1997-01-01

    of IT systems, 3) the Technical Architecture: a common, vendor-independent framework for design, integration and implementation of IT systems and 4) the Product Architecture: vendor=specific IT solutions. The Systems Architecture is effectively a description of the end-user "requirements". Generalized end-user requirements are discussed and subsequently organized into specific mission and project functions. The Technical Architecture depicts the framework, and relationship, of the specific IT components that enable the end-user functionality as described in the Systems Architecture. The primary components as described in the Technical Architecture are: 1) Applications: Basic Client Component, Object Creation Applications, Collaborative Applications, Object Analysis Applications, 2) Services: Messaging, Information Broker, Collaboration, Distributed Processing, and 3) Infrastructure: Network, Security, Directory, Certificate Management, Enterprise Management and File System. This Architecture also provides specific Implementation Recommendations, the most significant of which is the recognition of IT as core to NASA activities and defines a plan, which is aligned with the NASA strategic planning processes, for keeping the Architecture alive and useful.

  8. Integration of ultra-high field MRI and histology for connectome based research of brain disorders

    Directory of Open Access Journals (Sweden)

    Shan eYang

    2013-09-01

    Full Text Available Ultra-high field magnetic resonance imaging (MRI became increasingly relevant for in vivo neuroscientific research because of improved spatial resolutions. However, this is still the unchallenged domain of histological studies, which long played an important role in the investigation of neuropsychiatric disorders. While the field of biological psychiatry strongly advanced on macroscopic levels, current developments are rediscovering the richness of immunohistological information when attempting a multi-level systematic approach to brain function and dysfunction. For most studies, histology sections lost information on three-dimensional reconstructions. Translating histological sections to 3D-volumes would thus not only allow for multi-stain and multi-subject alignment in post mortem data, but also provide a crucial step in big data initiatives involving the network analyses currently performed with in vivo MRI. We therefore investigated potential pitfalls during integration of MR and histological information where no additional blockface information is available. We demonstrated that strengths and requirements from both methods seem to be ideally merged at a spatial resolution of 200 μm. However, the success of this approach is heavily dependent on choices of hardware, sequence and reconstruction. We provide a fully automated pipeline that optimizes histological 3D reconstructions, providing a potentially powerful solution not only for primary human post mortem research institutions in neuropsychiatric research, but also to help alleviate the massive workloads in neuroanatomical atlas initiatives. We further demonstrate (for the first time the feasibility and quality of ultra-high spatial resolution (150 µm isotopic imaging of the entire human brain MRI at 7T, offering new opportunities for analyses on MR-derived information.

  9. Effects of visual working memory on brain information processing of irrelevant auditory stimuli.

    Directory of Open Access Journals (Sweden)

    Jiagui Qu

    Full Text Available Selective attention has traditionally been viewed as a sensory processing modulator that promotes cognitive processing efficiency by favoring relevant stimuli while inhibiting irrelevant stimuli. However, the cross-modal processing of irrelevant information during working memory (WM has been rarely investigated. In this study, the modulation of irrelevant auditory information by the brain during a visual WM task was investigated. The N100 auditory evoked potential (N100-AEP following an auditory click was used to evaluate the selective attention to auditory stimulus during WM processing and at rest. N100-AEP amplitudes were found to be significantly affected in the left-prefrontal, mid-prefrontal, right-prefrontal, left-frontal, and mid-frontal regions while performing a high WM load task. In contrast, no significant differences were found between N100-AEP amplitudes in WM states and rest states under a low WM load task in all recorded brain regions. Furthermore, no differences were found between the time latencies of N100-AEP troughs in WM states and rest states while performing either the high or low WM load task. These findings suggested that the prefrontal cortex (PFC may integrate information from different sensory channels to protect perceptual integrity during cognitive processing.

  10. LINKED DATA PARADIGM FOR ENTERPRISES: INFORMATION INTEGRATION AND VALUE CHAIN

    OpenAIRE

    Hladky, D.; Maltseva, S.

    2013-01-01

    Data integration in enterprises is a crucial but at the same time costly and challenging problem. While business-critical information is stored in ERP, CRM, SCM and in Content Management systems the integration of such becomes even more critical when integrating with the growing information space on the Web. The IT industry has developed over the last decade integration solutions based on Master Data Management, Business Intelligence and the Service Oriented Architecture. However, we become i...

  11. Integration of Hospital Information Systems, Operative and Peri-operative Information Systems, and Operative Equipment into a Single Information Display

    OpenAIRE

    Meyer, Mark; Levine, Wilton C.; Brzezinski, Philip; Robbins, Jeffrey; Lai, Fuji; Spitz, Gabriel; Sandberg, Warren S.

    2005-01-01

    The integration of disparate information systems in the operative environment allows access to information that is typically unseen or unused. Through a collaborative effort, a variety of information systems and surgical equipment are being integrated. This provides improved context-sensitive information display and decision support and improved access to information to improve workflow, safety and visualization of information that was previously unattainable.

  12. Adaptive intesration of local resion information to detect fine-scale brain activity patterns

    Institute of Scientific and Technical Information of China (English)

    ZHEN ZongLei; TIAN Jie; ZHANG Hui

    2008-01-01

    With the rapid development of functional magnetic resonance imaging (fMRI) technology, the spatial resolution of fMRI data is continuously growing. This pro-vides us the possibility to detect the fine-scale patterns of brain activities. The es-tablished univariate and multivariate methods to analyze fMRI data mostly focus on detecting the activation blobs without considering the distributed fine-scale pat-terns within the blobs. To improve the sensitivity of the activation detection, in this paper, multivariate statistical method and univariate statistical method are com-bined to discover the fine-grained activity patterns. For one voxel in the brain, a local homogenous region is constructed. Then, time courses from the local ho-mogenous region are integrated with multivariate statistical method. Univariate statistical method is finally used to construct the interests of statistic for that voxel. The approach has explicitly taken into account the structures of both activity pat-terns and existing noise of local brain regions. Therefore, it could highlight the fine-scale activity patterns of the local regions. Experiments with simulated and real fMRI data demonstrate that the proposed method dramatically increases the sensitivity of detection of fine-scale brain activity patterns which contain the subtle information about experimental conditions.

  13. Information Technologies and Supply Chain Integration

    DEFF Research Database (Denmark)

    Lemoine, W; Mortensen, Ole

    integration. This study illustrates, from an empirical point of view, the problems associ-ated to SC integration among European firms operating in global/international markets. The focus is on the relationship between two echelons in the supply chain: manufacturers and their transport and logistics service......The goal of the Supply Chain Management process is to create value for customers, stakeholders and all supply chain members, through the integration of different processes like manufacturing flow management, customer service and order fulfillment. However, many firms fail in the path of achieving...... integration. Our results show that the current business integra-tion practices between manufacturers and TLSPs are primarily restricted to some sub-processes in three key SC processes: Customer Service Management, order fulfillment and backwards logistics. The use of IT tools to support the integration has...

  14. Is functional integration of resting state brain networks an unspecific biomarker for working memory performance?

    Science.gov (United States)

    Alavash, Mohsen; Doebler, Philipp; Holling, Heinz; Thiel, Christiane M; Gießing, Carsten

    2015-03-01

    Is there one optimal topology of functional brain networks at rest from which our cognitive performance would profit? Previous studies suggest that functional integration of resting state brain networks is an important biomarker for cognitive performance. However, it is still unknown whether higher network integration is an unspecific predictor for good cognitive performance or, alternatively, whether specific network organization during rest predicts only specific cognitive abilities. Here, we investigated the relationship between network integration at rest and cognitive performance using two tasks that measured different aspects of working memory; one task assessed visual-spatial and the other numerical working memory. Network clustering, modularity and efficiency were computed to capture network integration on different levels of network organization, and to statistically compare their correlations with the performance in each working memory test. The results revealed that each working memory aspect profits from a different resting state topology, and the tests showed significantly different correlations with each of the measures of network integration. While higher global network integration and modularity predicted significantly better performance in visual-spatial working memory, both measures showed no significant correlation with numerical working memory performance. In contrast, numerical working memory was superior in subjects with highly clustered brain networks, predominantly in the intraparietal sulcus, a core brain region of the working memory network. Our findings suggest that a specific balance between local and global functional integration of resting state brain networks facilitates special aspects of cognitive performance. In the context of working memory, while visual-spatial performance is facilitated by globally integrated functional resting state brain networks, numerical working memory profits from increased capacities for local processing

  15. Environment, safety, and health information technology systems integration.

    Energy Technology Data Exchange (ETDEWEB)

    Hendrickson, David A.; Bayer, Gregory W.

    2006-02-01

    The ES&H Information Systems department, motivated by the numerous isolated information technology systems under its control, undertook a significant integration effort. This effort was planned and executed over the course of several years and parts of it still continue today. The effect was to help move the ES&H Information Systems department toward integration with the corporate Information Solutions and Services center.

  16. SUPPLY CHAIN INFORMATION INTEGRATION THROUGH SERVICE ORIENTED ARCHITECTURE

    Directory of Open Access Journals (Sweden)

    Igor Milanovic

    2013-12-01

    Full Text Available In recent years information integration became significant problem for both natural and legal persons in everyday operations. Huge amount of information are available, but insufficiently processed in order to have useful value. Choosing the right combination of tools and technologies for integration is prerequisite for requiring information from multiple heterogeneous sources and their qualitative and simple using after.In this paper, we have focused on information integration within companies which are parts of supply chain or network. This environment typically includes a various mix of sources, structured (such as relational or other databases, and unstructured (such as document repositories, spreadsheets, documents, web pages, emails and others. Effective information integration and sharing significantly enhances supply chain practices. Service oriented architecture (SOA is an architectural style for building software applications that use services available in a network such as the web. The use of SOA to achieve inter-enterprise supply network information integration has many advantages.

  17. Integration of Neuropsychology in Educational Planning Following Traumatic Brain Injury

    Science.gov (United States)

    Stavinoha, Peter L.

    2005-01-01

    Traumatic brain injuries (TBIs) have the potential to significantly disrupt a student's cognitive, academic, social, emotional, behavioral, and physical functioning. It is important for educators to appreciate the array of difficulties students with TBI may experience in order to appropriately assess needs and create an educational plan that…

  18. Brain Wave Biofeedback: Benefits of Integrating Neurofeedback in Counseling

    Science.gov (United States)

    Myers, Jane E.; Young, J. Scott

    2012-01-01

    Consistent with the "2009 Standards" of the Council for Accreditation of Counseling and Related Educational Programs, counselors must understand neurobiological behavior in individuals of all developmental levels. This requires understanding the brain and strategies for applying neurobiological concepts in counseling practice, training, and…

  19. No need to talk, I know you: familiarity influences early multisensory integration in a songbird's brain

    Directory of Open Access Journals (Sweden)

    Isabelle GEORGE

    2011-01-01

    Full Text Available It is well known that visual information can affect auditory perception, as in the famous McGurk effect, but little is known concerning the processes involved. To address this issue, we used the best-developed animal model to study language-related processes in the brain: songbirds. European starlings were exposed to audiovisual compared to auditory-only playback of conspecific songs, while electrophysiological recordings were made in their primary auditory area (Field L. The results show that the audiovisual condition modulated the auditory responses. Enhancement and suppression were both observed, depending on the stimulus familiarity. Seeing a familiar bird led to suppressed auditory responses while seeing an unfamiliar bird led to response enhancement, suggesting that unisensory perception may be enough if the stimulus is familiar while redundancy may be required for unfamiliar items. This is to our knowledge the first evidence that multisensory integration may occur in a low-level, putatively unisensory area of a non-mammalian vertebrate brain, and also that familiarity of the stimuli may influence modulation of auditory responses by vision.

  20. Novel theory of the human brain: information-commutation basis of architecture and principles of operation

    Directory of Open Access Journals (Sweden)

    Bryukhovetskiy AS

    2015-02-01

    Full Text Available Andrey S Bryukhovetskiy Center for Biomedical Technologies, Federal Research and Clinical Center for Specialized Types of Medical Assistance and Medical Technologies of the Federal Medical Biological Agency, NeuroVita Clinic of Interventional and Restorative Neurology and Therapy, Moscow, Russia Abstract: Based on the methodology of the informational approach and research of the genome, proteome, and complete transcriptome profiles of different cells in the nervous tissue of the human brain, the author proposes a new theory of information-commutation organization and architecture of the human brain which is an alternative to the conventional systemic connective morphofunctional paradigm of the brain framework. Informational principles of brain operation are defined: the modular principle, holographic principle, principle of systematicity of vertical commutative connection and complexity of horizontal commutative connection, regulatory principle, relay principle, modulation principle, “illumination” principle, principle of personalized memory and intellect, and principle of low energy consumption. The author demonstrates that the cortex functions only as a switchboard and router of information, while information is processed outside the nervous tissue of the brain in the intermeningeal space. The main structural element of information-commutation in the brain is not the neuron, but information-commutation modules that are subdivided into receiver modules, transmitter modules, and subscriber modules, forming a vertical architecture of nervous tissue in the brain as information lines and information channels, and a horizontal architecture as central, intermediate, and peripheral information-commutation platforms. Information in information-commutation modules is transferred by means of the carriers that are characteristic to the specific information level from inductome to genome, transcriptome, proteome, metabolome, secretome, and magnetome

  1. Automatic segmentation of meningioma from non-contrasted brain MRI integrating fuzzy clustering and region growing

    Directory of Open Access Journals (Sweden)

    Liao Chun-Chih

    2011-08-01

    Full Text Available Abstract Background In recent years, magnetic resonance imaging (MRI has become important in brain tumor diagnosis. Using this modality, physicians can locate specific pathologies by analyzing differences in tissue character presented in different types of MR images. This paper uses an algorithm integrating fuzzy-c-mean (FCM and region growing techniques for automated tumor image segmentation from patients with menigioma. Only non-contrasted T1 and T2 -weighted MR images are included in the analysis. The study's aims are to correctly locate tumors in the images, and to detect those situated in the midline position of the brain. Methods The study used non-contrasted T1- and T2-weighted MR images from 29 patients with menigioma. After FCM clustering, 32 groups of images from each patient group were put through the region-growing procedure for pixels aggregation. Later, using knowledge-based information, the system selected tumor-containing images from these groups and merged them into one tumor image. An alternative semi-supervised method was added at this stage for comparison with the automatic method. Finally, the tumor image was optimized by a morphology operator. Results from automatic segmentation were compared to the "ground truth" (GT on a pixel level. Overall data were then evaluated using a quantified system. Results The quantified parameters, including the "percent match" (PM and "correlation ratio" (CR, suggested a high match between GT and the present study's system, as well as a fair level of correspondence. The results were compatible with those from other related studies. The system successfully detected all of the tumors situated at the midline of brain. Six cases failed in the automatic group. One also failed in the semi-supervised alternative. The remaining five cases presented noticeable edema inside the brain. In the 23 successful cases, the PM and CR values in the two groups were highly related. Conclusions Results indicated

  2. Integration of Information Technologies in Enterprise Application Development

    Directory of Open Access Journals (Sweden)

    Iulia SURUGIU

    2012-05-01

    Full Text Available Healthcare enterprises are disconnected. In the era of integrated information systems and Internet explosion, the necessity of information systems integration reside from business process evolution, on the one hand, and from information technology tendencies, on the other hand. In order to become more efficient and adaptive to change, healthcare organizations are tremendously preoccupied of business process automation, flexibility and complexity. The need of information systems integration arise from these goals, explaining, at the same time, the special interest in EAI. Extensible software integration architectures and business orientation of process modeling and information systems functionalities, the same as open-connectivity, accessibility and virtualization lead to most suitable integration solutions: SOA and BPM architectural styles in a cloud computing environment.

  3. MEASURING INFORMATION INTEGR-ATION MODEL FOR CAD/CMM

    Institute of Scientific and Technical Information of China (English)

    2003-01-01

    A CAD/CMM workpiece modeling system based on IGES file is proposed. The modeling system is implemented by using a new method for labelling the tolerance items of 3D workpiece. The concept-"feature face" is used in the method. First the CAD data of workpiece are extracted and recognized automatically. Then a workpiece model is generated, which is the integration of pure 3D geometry form with its corresponding inspection items. The principle of workpiece modeling is also presented. At last, the experiment results are shown and correctness of the model is certified.

  4. LinkRbrain: Multi-scale data integrator of the brain

    OpenAIRE

    Mesmoudi, Salma; Rodic, Mathieu; Cioli, Claudia; Cointet, Jean-Philippe; Yarkoni, Tal; Burnod, Yves

    2015-01-01

    International audience BackgroundLinkRbrain is an open-access web platform for multi-scale data integration and visualization of human brain data. This platform integrates anatomical, functional, and genetic knowledge produced by the scientific community.New methodThe linkRbrain platform has two major components: (1) a data aggregation component that integrates multiple open databases into a single platform with a unified representation; and (2) a website that provides fast multi-scale int...

  5. The Dilution Effect and Information Integration in Perceptual Decision Making.

    Directory of Open Access Journals (Sweden)

    Jared M Hotaling

    Full Text Available In cognitive science there is a seeming paradox: On the one hand, studies of human judgment and decision making have repeatedly shown that people systematically violate optimal behavior when integrating information from multiple sources. On the other hand, optimal models, often Bayesian, have been successful at accounting for information integration in fields such as categorization, memory, and perception. This apparent conflict could be due, in part, to different materials and designs that lead to differences in the nature of processing. Stimuli that require controlled integration of information, such as the quantitative or linguistic information (commonly found in judgment studies, may lead to suboptimal performance. In contrast, perceptual stimuli may lend themselves to automatic processing, resulting in integration that is closer to optimal. We tested this hypothesis with an experiment in which participants categorized faces based on resemblance to a family patriarch. The amount of evidence contained in the top and bottom halves of each test face was independently manipulated. These data allow us to investigate a canonical example of sub-optimal information integration from the judgment and decision making literature, the dilution effect. Splitting the top and bottom halves of a face, a manipulation meant to encourage controlled integration of information, produced farther from optimal behavior and larger dilution effects. The Multi-component Information Accumulation model, a hybrid optimal/averaging model of information integration, successfully accounts for key accuracy, response time, and dilution effects.

  6. The Dilution Effect and Information Integration in Perceptual Decision Making.

    Science.gov (United States)

    Hotaling, Jared M; Cohen, Andrew L; Shiffrin, Richard M; Busemeyer, Jerome R

    2015-01-01

    In cognitive science there is a seeming paradox: On the one hand, studies of human judgment and decision making have repeatedly shown that people systematically violate optimal behavior when integrating information from multiple sources. On the other hand, optimal models, often Bayesian, have been successful at accounting for information integration in fields such as categorization, memory, and perception. This apparent conflict could be due, in part, to different materials and designs that lead to differences in the nature of processing. Stimuli that require controlled integration of information, such as the quantitative or linguistic information (commonly found in judgment studies), may lead to suboptimal performance. In contrast, perceptual stimuli may lend themselves to automatic processing, resulting in integration that is closer to optimal. We tested this hypothesis with an experiment in which participants categorized faces based on resemblance to a family patriarch. The amount of evidence contained in the top and bottom halves of each test face was independently manipulated. These data allow us to investigate a canonical example of sub-optimal information integration from the judgment and decision making literature, the dilution effect. Splitting the top and bottom halves of a face, a manipulation meant to encourage controlled integration of information, produced farther from optimal behavior and larger dilution effects. The Multi-component Information Accumulation model, a hybrid optimal/averaging model of information integration, successfully accounts for key accuracy, response time, and dilution effects. PMID:26406323

  7. Brain fingerprinting classification concealed information test detects US Navy military medical information with P300

    Directory of Open Access Journals (Sweden)

    Lawrence A. Farwell

    2014-12-01

    Full Text Available A classification concealed information test (CIT used the brain fingerprinting method of applying P300 event-related potential (ERP in detecting information that is 1 acquired in real life and 2 unique to US Navy experts in military medicine. Military medicine experts and non-experts were asked to push buttons in response to 3 types of text stimuli. Targets contain known information relevant to military medicine, are identified to subjects as relevant, and require pushing one button. Subjects are told to push another button to all other stimuli. Probes contain concealed information relevant to military medicine, and are not identified to subjects. Irrelevants contain equally plausible, but incorrect/irrelevant information. Error rate was 0%. Median and mean statistical confidences for individual determinations were 99.9% with no indeterminates (results lacking sufficiently high statistical confidence to be classified. We compared error rate and statistical confidence for determinations of both information present and information absent produced by classification CIT (Is a probe ERP more similar to a target or to an irrelevant ERP? versus comparison CIT (Does a probe produce a larger ERP than an irrelevant? using P300 plus the late negative component (LNP; together, P300-MERMER. Comparison CIT produced a significantly higher error rate (20% and lower statistical confidences -- mean 67%; information-absent mean was 28.9%, less than chance (50%. We compared analysis using P300 alone with the P300 + LNP. P300 alone produced the same 0% error rate but significantly lower statistical confidences. These findings add to the evidence that the brain fingerprinting methods as described here provide sufficient conditions to produce less than 1% error rate and greater than 95% median statistical confidence in a CIT on information obtained in the course of real life that is characteristic of individuals with specific training, expertise, or organizational

  8. Role-based Integration Method of Enterprise Information System

    Institute of Scientific and Technical Information of China (English)

    YU Ming-hui; FEI Qi; CHEN Xue-guang

    2002-01-01

    This paper analyzes the current situation of enterprise information system and methods of system integration at first. Then a role-based analyzing method is proposed. It can help confirm the keystone of the construction of information system and the direction of system integration. At last, a case study on theintegration of material dispatching information system in a large-scale project is presented briefly. It shows that this new method is more effective than the others are.

  9. Academic Support through Information System : Srinivas Integrated Model

    OpenAIRE

    Aithal, Sreeramana; Kumar, Suresh

    2016-01-01

    As part of imparting quality higher education for undergraduate and postgraduate students, Srinivas Institute of Management Studies (SIMS) developed an education service model for integrated academic support known as Srinivas Integrated Model. Backed by the presumption that knowledge is power and information is fundamental to knowledge building and knowledge sharing, this model is aimed to provide information support to students for improved academic performance. Information on the college...

  10. Information Security Management - Part Of The Integrated Management System

    Science.gov (United States)

    Manea, Constantin Adrian

    2015-07-01

    The international management standards allow their integrated approach, thereby combining aspects of particular importance to the activity of any organization, from the quality management systems or the environmental management of the information security systems or the business continuity management systems. Although there is no national or international regulation, nor a defined standard for the Integrated Management System, the need to implement an integrated system occurs within the organization, which feels the opportunity to integrate the management components into a cohesive system, in agreement with the purpose and mission publicly stated. The issues relating to information security in the organization, from the perspective of the management system, raise serious questions to any organization in the current context of electronic information, reason for which we consider not only appropriate but necessary to promote and implement an Integrated Management System Quality - Environment - Health and Operational Security - Information Security

  11. Integrated information theory of consciousness: an updated account.

    Science.gov (United States)

    Tononi, G

    2012-12-01

    This article presents an updated account of integrated information theory of consciousness (liT) and some of its implications. /IT stems from thought experiments that lead to phenomenological axioms (existence, compositionality, information, integration, exclusion) and corresponding ontological postulates. The information axiom asserts that every experience is spec~fic - it is what it is by differing in its particular way from a large repertoire of alternatives. The integration axiom asserts that each experience is unified- it cannot be reduced to independent components. The exclusion axiom asserts that every experience is definite - it is limited to particular things and not others and flows at a particular speed and resolution. /IT formalizes these intuitions with postulates. The information postulate states that only "differences that make a difference" from the intrinsic perpective of a system matter: a mechanism generates cause-effect information if its present state has selective past causes and selective future effects within a system. The integration postulate states that only information that is irreducible matters: mechanisms generate integrated information only to the extent that the information they generate cannot be partitioned into that generated within independent components. The exclusion postulate states that only maxima of integrated information matter: a mechanism specifies only one maximally irreducible set of past causes and future effects - a concept. A complex is a set of elements specifying a maximally irreducible constellation of concepts, where the maximum is evaluated over elements and at the optimal spatiatemporal scale. Its concepts specify a maximally integrated conceptual information structure or quale, which is identical with an experience. Finally, changes in information integration upon exposure to the environment reflect a system's ability to match the causal structure of the world. After introducing an updated definition of

  12. Brain white matter integrity and cortisol in older men:the Lothian Birth Cohort 1936

    OpenAIRE

    Cox, Simon R.; Bastin, Mark E; Ferguson, Karen J.; Munoz-Maniega, Susana; MacPherson, Sarah E.; Deary, Ian J; Wardlaw, Joanna M.; MacLullich, Alasdair M. J.

    2015-01-01

    Elevated glucocorticoid (GC) levels are hypothesized to be deleterious to some brain regions, including white matter (WM). Older age is accompanied by increased between-participant variation in GC levels, yet relationships between WM integrity and cortisol levels in older humans are underexplored. Moreover, it is unclear whether GC-WM associations might be general or pathway specific. We analyzed relationships between salivary cortisol (diurnal and reactive) and general measures of brain WM h...

  13. Brain

    Science.gov (United States)

    ... will return after updating. Resources Archived Modules Updates Brain Cerebrum The cerebrum is the part of the ... the outside of the brain and spinal cord. Brain Stem The brain stem is the part of ...

  14. Which way and how far? Tracking of translation and rotation information for human path integration.

    Science.gov (United States)

    Chrastil, Elizabeth R; Sherrill, Katherine R; Hasselmo, Michael E; Stern, Chantal E

    2016-10-01

    Path integration, the constant updating of the navigator's knowledge of position and orientation during movement, requires both visuospatial knowledge and memory. This study aimed to develop a systems-level understanding of human path integration by examining the basic building blocks of path integration in humans. To achieve this goal, we used functional imaging to examine the neural mechanisms that support the tracking and memory of translational and rotational components of human path integration. Critically, and in contrast to previous studies, we examined movement in translation and rotation tasks with no defined end-point or goal. Navigators accumulated translational and rotational information during virtual self-motion. Activity in hippocampus, retrosplenial cortex (RSC), and parahippocampal cortex (PHC) increased during both translation and rotation encoding, suggesting that these regions track self-motion information during path integration. These results address current questions regarding distance coding in the human brain. By implementing a modified delayed match to sample paradigm, we also examined the encoding and maintenance of path integration signals in working memory. Hippocampus, PHC, and RSC were recruited during successful encoding and maintenance of path integration information, with RSC selective for tasks that required processing heading rotation changes. These data indicate distinct working memory mechanisms for translation and rotation, which are essential for updating neural representations of current location. The results provide evidence that hippocampus, PHC, and RSC flexibly track task-relevant translation and rotation signals for path integration and could form the hub of a more distributed network supporting spatial navigation. Hum Brain Mapp 37:3636-3655, 2016. © 2016 Wiley Periodicals, Inc. PMID:27238897

  15. Which way and how far? Tracking of translation and rotation information for human path integration.

    Science.gov (United States)

    Chrastil, Elizabeth R; Sherrill, Katherine R; Hasselmo, Michael E; Stern, Chantal E

    2016-10-01

    Path integration, the constant updating of the navigator's knowledge of position and orientation during movement, requires both visuospatial knowledge and memory. This study aimed to develop a systems-level understanding of human path integration by examining the basic building blocks of path integration in humans. To achieve this goal, we used functional imaging to examine the neural mechanisms that support the tracking and memory of translational and rotational components of human path integration. Critically, and in contrast to previous studies, we examined movement in translation and rotation tasks with no defined end-point or goal. Navigators accumulated translational and rotational information during virtual self-motion. Activity in hippocampus, retrosplenial cortex (RSC), and parahippocampal cortex (PHC) increased during both translation and rotation encoding, suggesting that these regions track self-motion information during path integration. These results address current questions regarding distance coding in the human brain. By implementing a modified delayed match to sample paradigm, we also examined the encoding and maintenance of path integration signals in working memory. Hippocampus, PHC, and RSC were recruited during successful encoding and maintenance of path integration information, with RSC selective for tasks that required processing heading rotation changes. These data indicate distinct working memory mechanisms for translation and rotation, which are essential for updating neural representations of current location. The results provide evidence that hippocampus, PHC, and RSC flexibly track task-relevant translation and rotation signals for path integration and could form the hub of a more distributed network supporting spatial navigation. Hum Brain Mapp 37:3636-3655, 2016. © 2016 Wiley Periodicals, Inc.

  16. Integration of Information and Scientific Literacy: Promoting Literacy in Undergraduates

    Science.gov (United States)

    Porter, Jason A.; Wolbach, Kevin C.; Purzycki, Catherine B.; Bowman, Leslie A.; Agbada, Eva; Mostrom, Alison M.

    2010-01-01

    The Association of College and Research Libraries recommends incorporating information literacy (IL) skills across university and college curricula, for the goal of developing information literate graduates. Congruent with this goal, the Departments of Biological Sciences and Information Science developed an integrated IL and scientific literacy…

  17. Hearing facial identities: brain correlates of face--voice integration in person identification.

    Science.gov (United States)

    Schweinberger, Stefan R; Kloth, Nadine; Robertson, David M C

    2011-10-01

    Audiovisual integration (AVI) is a well-known aspect of speech perception, but integration of facial and vocal information is also important for speaker recognition. We recently demonstrated AVI in the recognition of familiar (but not unfamiliar) speakers. Specifically, systematic behavioural benefits and costs in recognizing a familiar voice occur when the voice is combined with a time-synchronised articulating face of corresponding or noncorresponding speaker identity, respectively (Schweinberger et al., 2007; Robertson and Schweinberger, 2010). Here we report an experiment assessing event-related brain potentials (ERPs) in this novel paradigm, while participants recognized familiar speakers presented in (1) Voice only, (2) voice with identity-corresponding and (3) noncorresponding time-synchronised speaking faces, as well as (4) Face only conditions. Audiovisual speaker identity correspondence influenced only later ERPs around 250-600 msec, with increased negativity for noncorresponding identities at central electrodes. Strikingly, when compared with the ERPs from both unimodal conditions, both audiovisual conditions led to a much earlier onset of frontocentral negativity, with maximal differences around 50-80 msec. Moreover, audiovisual stimuli elicited larger N170 responses than Face only stimuli. These findings suggest that the perception of a voice and a time-synchronised articulating face triggers remarkably early and mandatory mechanisms of audiovisual processing, although the correspondence or discrepancy in audiovisual speaker identity may only be computed ∼200msec later. PMID:21208611

  18. Ontology Based Resolution of Semantic Conflicts in Information Integration

    Institute of Scientific and Technical Information of China (English)

    LU Han; LI Qing-zhong

    2004-01-01

    Semantic conflict is the conflict caused by using different ways in heterogeneous systems to express the same entity in reality.This prevents information integration from accomplishing semantic coherence.Since ontology helps to solve semantic problems, this area has become a hot topic in information integration.In this paper, we introduce semantic conflict into information integration of heterogeneous applications.We discuss the origins and categories of the conflict, and present an ontology-based schema mapping approach to eliminate semantic conflicts.

  19. Information Systems Integration and Enterprise Application Integration (EAI) Adoption: A Case from Financial Services

    Science.gov (United States)

    Lam, Wing

    2007-01-01

    Increasingly, organizations find that they need to integrate large number of information systems in order to support enterprise-wide business initiatives such as e-business, supply chain management and customer relationship management. To date, organizations have largely tended to address information systems (IS) integration in an ad-hoc manner.…

  20. Integrated Brain Circuits: Astrocytic Networks Modulate Neuronal Activity and Behavior

    Science.gov (United States)

    Halassa, Michael M.; Haydon, Philip G.

    2011-01-01

    The past decade has seen an explosion of research on roles of neuron-astrocyte interactions in the control of brain function. We highlight recent studies performed on the tripartite synapse, the structure consisting of pre- and postsynaptic elements of the synapse and an associated astrocytic process. Astrocytes respond to neuronal activity and neuro-transmitters, through the activation of metabotropic receptors, and can release the gliotransmitters ATP, D-serine, and glutamate, which act on neurons. Astrocyte-derived ATP modulates synaptic transmission, either directly or through its metabolic product adenosine. D-serine modulates NMDA receptor function, whereas glia-derived glutamate can play important roles in relapse following withdrawal from drugs of abuse. Cell type–specific molecular genetics has allowed a new level of examination of the function of astrocytes in brain function and has revealed an important role of these glial cells that is mediated by adenosine accumulation in the control of sleep and in cognitive impairments that follow sleep deprivation. PMID:20148679

  1. Circadian period integrates network information through activation of the BMP signaling pathway.

    Directory of Open Access Journals (Sweden)

    Esteban J Beckwith

    2013-12-01

    Full Text Available Living organisms use biological clocks to maintain their internal temporal order and anticipate daily environmental changes. In Drosophila, circadian regulation of locomotor behavior is controlled by ∼150 neurons; among them, neurons expressing the PIGMENT DISPERSING FACTOR (PDF set the period of locomotor behavior under free-running conditions. To date, it remains unclear how individual circadian clusters integrate their activity to assemble a distinctive behavioral output. Here we show that the BONE MORPHOGENETIC PROTEIN (BMP signaling pathway plays a crucial role in setting the circadian period in PDF neurons in the adult brain. Acute deregulation of BMP signaling causes period lengthening through regulation of dClock transcription, providing evidence for a novel function of this pathway in the adult brain. We propose that coherence in the circadian network arises from integration in PDF neurons of both the pace of the cell-autonomous molecular clock and information derived from circadian-relevant neurons through release of BMP ligands.

  2. Geography and Geographical Information Science: Interdisciplinary Integrators

    Science.gov (United States)

    Ellul, Claire

    2015-01-01

    To understand how Geography and Geographical Information Science (GIS) can contribute to Interdisciplinary Research (IDR), it is relevant to articulate the differences between the different types of such research. "Multidisciplinary" researchers work in a "parallel play" mode, completing work in their disciplinary work streams…

  3. Integranting prosodic information into a speech recogniser

    OpenAIRE

    López Soto, María Teresa

    2001-01-01

    In the last decade there has been an increasing tendency to incorporate language engineering strategies into speech technology. This technique combines linguistic and mathematical information in different applications: machine translation, natural language processing, speech synthesis and automatic speech recognition (ASR). In the field of speech synthesis, this hybrid approach (linguistic and mathematical/statistical) has led to the design of efficient models for reproducin...

  4. MRI confirms loss of blood-brain barrier integrity in a mouse model of disseminated candidiasis.

    Science.gov (United States)

    Navarathna, Dhammika H M L P; Munasinghe, Jeeva; Lizak, Martin J; Nayak, Debasis; McGavern, Dorian B; Roberts, David D

    2013-09-01

    Disseminated candidiasis primarily targets the kidneys and brain in mice and humans. Damage to these critical organs leads to the high mortality associated with such infections, and invasion across the blood-brain barrier can result in fungal meningoencephalitis. Candida albicans can penetrate a brain endothelial cell barrier in vitro through transcellular migration, but this mechanism has not been confirmed in vivo. MRI using the extracellular vascular contrast agent gadolinium diethylenetriaminepentaacetic acid demonstrated that integrity of the blood-brain barrier is lost during C. albicans invasion. Intravital two-photon laser scanning microscopy was used to provide the first real-time demonstration of C. albicans colonizing the living brain, where both yeast and filamentous forms of the pathogen were found. Furthermore, we adapted a previously described method utilizing MRI to monitor inflammatory cell recruitment into infected tissues in mice. Macrophages and other phagocytes were visualized in kidney and brain by the administration of ultrasmall iron oxide particles. In addition to obtaining new insights into the passage of C. albicans across the brain microvasculature, these imaging methods provide useful tools to study further the pathogenesis of C. albicans infections, to define the roles of Candida virulence genes in kidney versus brain infection and to assess new therapeutic measures for drug development.

  5. Brain activity related to integrative processes in visual object recognition

    DEFF Research Database (Denmark)

    Gerlach, Christian; Aaside, C T; Humphreys, G W;

    2002-01-01

    We report evidence from a PET activation study that the inferior occipital gyri (likely to include area V2) and the posterior parts of the fusiform and inferior temporal gyri are involved in the integration of visual elements into perceptual wholes (single objects). Of these areas, the fusiform a...

  6. Using integrated information systems in supply chain management

    Science.gov (United States)

    Gonzálvez-Gallego, Nicolás; Molina-Castillo, Francisco-Jose; Soto-Acosta, Pedro; Varajao, Joao; Trigo, Antonio

    2015-02-01

    The aim of this paper is to empirically test not only the direct effects of information and communication technology (ICT) capabilities and integrated information systems (IS) on firm performance, but also the moderating role of IS integration along the supply chain in the relationship between ICT external and capabilities and business performance. Data collected from 102 large Iberian firms from Spain and Portugal are used to test the research model. The hierarchical multiple regression analysis is employed to test the direct effects and the moderating relationships proposed. Results show that external and internal ICT capabilities are important drivers of firm performance, while merely having integrated IS do not lead to better firm performance. In addition, a moderating effect of IS integration in the relationship between ICT capabilities and business performance is found, although this integration only contributes to firm performance when it is directed to connect with suppliers or customers rather than when integrating the whole supply chain.

  7. Full feature data model for spatial information network integration

    Institute of Scientific and Technical Information of China (English)

    DENG Ji-qiu; BAO Guang-shu

    2006-01-01

    In allusion to the difficulty of integrating data with different models in integrating spatial information,the characteristics of raster structure, vector structure and mixed model were analyzed, and a hierarchical vectorraster integrative full feature model was put forward by integrating the advantage of vector and raster model and using the object-oriented method. The data structures of the four basic features, i.e. point, line, surface and solid,were described. An application was analyzed and described, and the characteristics of this model were described. In this model, all objects in the real world are divided into and described as features with hierarchy, and all the data are organized in vector. This model can describe data based on feature, field, network and other models, and avoid the disadvantage of inability to integrate data based on different models and perform spatial analysis on them in spatial information integration.

  8. Integrated Information System for Higher Education Qualifications

    OpenAIRE

    Catalin Ionut SILVESTRU; Codrin-Florentin NISIOIU; Bogdan GHILIC MICU; Ramona Camelia BERE; Robert MIHAILA; Adina-Maria DAN

    2012-01-01

    In the present article we aim to study thoroughly and detail aspects related to architectures specific for e-learning and management of human resources training interconnected to management of qualifications. In addition, we take into consideration combining e-learning architectures with software in an e-learning system interconnected with the National Registry of Qualifications of Higher Education, in view of developing and information system that correlates educational supply from higher ed...

  9. Real life experience of integrated information systems

    Energy Technology Data Exchange (ETDEWEB)

    Wohlfarth, H. [Vereinigte Elektrizitaetswerke Westfalen AG (VEW), Dortmund (Germany)

    1995-11-01

    The paper describes the experiences of the author`s utility with information systems. It refers to their development, their upgrading and the parallel establishment of completely new systems including digital substation control corresponding to the state of the art. Emphasis is laid on the problem of a large data and parameter volume, a modular system design and its interfaces. Standardization requirements and their practical limitations are illustrated as well as consequences for the organization. 6 figs

  10. Integrating the Supervised Information into Unsupervised Learning

    Directory of Open Access Journals (Sweden)

    Ping Ling

    2013-01-01

    Full Text Available This paper presents an assembling unsupervised learning framework that adopts the information coming from the supervised learning process and gives the corresponding implementation algorithm. The algorithm consists of two phases: extracting and clustering data representatives (DRs firstly to obtain labeled training data and then classifying non-DRs based on labeled DRs. The implementation algorithm is called SDSN since it employs the tuning-scaled Support vector domain description to collect DRs, uses spectrum-based method to cluster DRs, and adopts the nearest neighbor classifier to label non-DRs. The validation of the clustering procedure of the first-phase is analyzed theoretically. A new metric is defined data dependently in the second phase to allow the nearest neighbor classifier to work with the informed information. A fast training approach for DRs’ extraction is provided to bring more efficiency. Experimental results on synthetic and real datasets verify that the proposed idea is of correctness and performance and SDSN exhibits higher popularity in practice over the traditional pure clustering procedure.

  11. Automatic integration of confidence in the brain valuation signal.

    Science.gov (United States)

    Lebreton, Maël; Abitbol, Raphaëlle; Daunizeau, Jean; Pessiglione, Mathias

    2015-08-01

    A key process in decision-making is estimating the value of possible outcomes. Growing evidence suggests that different types of values are automatically encoded in the ventromedial prefrontal cortex (VMPFC). Here we extend this idea by suggesting that any overt judgment is accompanied by a second-order valuation (a confidence estimate), which is also automatically incorporated in VMPFC activity. In accordance with the predictions of our normative model of rating tasks, two behavioral experiments showed that confidence levels were quadratically related to first-order judgments (age, value or probability ratings). The analysis of three functional magnetic resonance imaging data sets using similar rating tasks confirmed that the quadratic extension of first-order ratings (our proxy for confidence) was encoded in VMPFC activity, even if no confidence judgment was required of the participants. Such an automatic aggregation of value and confidence in a same brain region might provide insight into many distortions of judgment and choice. PMID:26192748

  12. Theory of Dynamic Diagnosis Based on Integrated Maintenance Information

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    Based on the concept of an integrated maintenance information system and related information environment, this paper discusses the process of troubleshooting in modern maintenance in detail, and gives a model of dynamic diagnosis of faults, in which a reasoning program is designed through taking advantage of information fusion and time analysis. In the end, the authors present the logic process of dynamic diagnosis through a typical example, and proposes a dynamic diagnostic system based on information fusion.

  13. Towards an integrated information system for retail management

    OpenAIRE

    J R Beaumont

    1989-01-01

    Retail management recognise the competitive edge that can be provided by actionable information. In moving towards an integrated retail management information system, it is recognised that a general driving force behind investments in information technology (IT) is the need for more detailed information about customers. Marketing (and distribution and service) can apply IT to increase their efficiency, and, more importantly, to promote their effectiveness in the increasingly competitive envir...

  14. Integrating Information from Different Levels of Biological Organization

    OpenAIRE

    Cairns, John

    2007-01-01

    Global ecological problems as well as regional problems require information from a variety of levels of biological organization from single species to ecosystems. Both scientists and decision makers benefit from synthesis of this information, especially when coupled with chemical/physical information. Synthesized information is also more easily communicated to the general public, especially if the minutiae so fascinating to specialists are avoided. However, neither integration nor synthesis s...

  15. Integrating an Information Literacy Quiz into the Learning Management System

    Science.gov (United States)

    Lowe, M. Sara; Booth, Char; Tagge, Natalie; Stone, Sean

    2014-01-01

    The Claremont Colleges Library Instruction Services Department developed a quiz that could be integrated into the consortial learning management software to accompany a local online, open-source information literacy tutorial. The quiz is integrated into individual course pages, allowing students to receive a grade for completion and improving…

  16. The Dilution Effect and Information Integration in Perceptual Decision Making

    OpenAIRE

    Jared M Hotaling; Cohen, Andrew L.; Richard M Shiffrin; BUSEMEYER, JEROME R.

    2015-01-01

    In cognitive science there is a seeming paradox: On the one hand, studies of human judgment and decision making have repeatedly shown that people systematically violate optimal behavior when integrating information from multiple sources. On the other hand, optimal models, often Bayesian, have been successful at accounting for information integration in fields such as categorization, memory, and perception. This apparent conflict could be due, in part, to different materials and designs that l...

  17. Response processes in information-integration category learning.

    Science.gov (United States)

    Spiering, Brian J; Ashby, F Gregory

    2008-09-01

    Much recent evidence suggests that human category learning is mediated by multiple systems. Evidence suggests that at least one of these depends on procedural learning within the basal ganglia. Information-integration categorization tasks are thought to load heavily on this procedural-learning system. The results of several previous studies were interpreted to suggest that response positions are learned in information-integration tasks. This hypothesis was tested in two experiments. Experiment 1 showed that information-integration category learning was slowed but not disrupted when the spatial location of the responses varied randomly across trials. Experiment 2 showed that information-integration learning was impaired if category membership was signaled by responding to a Yes/No question and the category label had no consistent spatial location. These results suggest that information-integration category learning does not require consistent response locations. In these experiments, a consistent association between a category and a response feature was sufficient. The implication of these results for the neurobiology of information-integration category learning is discussed. PMID:18550397

  18. A Framework for Understanding Post-Merger Information Systems Integration

    DEFF Research Database (Denmark)

    Alaranta, Maria; Kautz, Karlheinz

    2012-01-01

    This paper develops a theoretical framework for the integration of information systems (IS) after a merger or an acquisition. The framework integrates three perspectives: a structuralist, an individualist, and an interactive process perspective to analyze and understand such integrations....... The framework is applied to a longitudinal case study of a manufacturing company that grew through an acquisition. The management decided to integrate the production control IS via tailoring a new system that blends together features of existing IS. The application of the framework in the case study confirms...... several known impediments to IS integrations. It also identifies a number of new inhibitors, as well as known and new facilitators that can bring post-merger IS integration to a success. Our findings provide relevant insights to researching and managing post-merger IS integrations. They emphasize...

  19. GABA regulates synaptic integration of newly generated neurons in the adult brain

    Science.gov (United States)

    Ge, Shaoyu; Goh, Eyleen L. K.; Sailor, Kurt A.; Kitabatake, Yasuji; Ming, Guo-Li; Song, Hongjun

    2006-02-01

    Adult neurogenesis, the birth and integration of new neurons from adult neural stem cells, is a striking form of structural plasticity and highlights the regenerative capacity of the adult mammalian brain. Accumulating evidence suggests that neuronal activity regulates adult neurogenesis and that new neurons contribute to specific brain functions. The mechanism that regulates the integration of newly generated neurons into the pre-existing functional circuitry in the adult brain is unknown. Here we show that newborn granule cells in the dentate gyrus of the adult hippocampus are tonically activated by ambient GABA (γ-aminobutyric acid) before being sequentially innervated by GABA- and glutamate-mediated synaptic inputs. GABA, the major inhibitory neurotransmitter in the adult brain, initially exerts an excitatory action on newborn neurons owing to their high cytoplasmic chloride ion content. Conversion of GABA-induced depolarization (excitation) into hyperpolarization (inhibition) in newborn neurons leads to marked defects in their synapse formation and dendritic development in vivo. Our study identifies an essential role for GABA in the synaptic integration of newly generated neurons in the adult brain, and suggests an unexpected mechanism for activity-dependent regulation of adult neurogenesis, in which newborn neurons may sense neuronal network activity through tonic and phasic GABA activation.

  20. Brain networks engaged in audiovisual integration during speech perception revealed by persistent homology-based network filtration.

    Science.gov (United States)

    Kim, Heejung; Hahm, Jarang; Lee, Hyekyoung; Kang, Eunjoo; Kang, Hyejin; Lee, Dong Soo

    2015-05-01

    The human brain naturally integrates audiovisual information to improve speech perception. However, in noisy environments, understanding speech is difficult and may require much effort. Although the brain network is supposed to be engaged in speech perception, it is unclear how speech-related brain regions are connected during natural bimodal audiovisual or unimodal speech perception with counterpart irrelevant noise. To investigate the topological changes of speech-related brain networks at all possible thresholds, we used a persistent homological framework through hierarchical clustering, such as single linkage distance, to analyze the connected component of the functional network during speech perception using functional magnetic resonance imaging. For speech perception, bimodal (audio-visual speech cue) or unimodal speech cues with counterpart irrelevant noise (auditory white-noise or visual gum-chewing) were delivered to 15 subjects. In terms of positive relationship, similar connected components were observed in bimodal and unimodal speech conditions during filtration. However, during speech perception by congruent audiovisual stimuli, the tighter couplings of left anterior temporal gyrus-anterior insula component and right premotor-visual components were observed than auditory or visual speech cue conditions, respectively. Interestingly, visual speech is perceived under white noise by tight negative coupling in the left inferior frontal region-right anterior cingulate, left anterior insula, and bilateral visual regions, including right middle temporal gyrus, right fusiform components. In conclusion, the speech brain network is tightly positively or negatively connected, and can reflect efficient or effortful processes during natural audiovisual integration or lip-reading, respectively, in speech perception.

  1. HERMES: towards an integrated toolbox to characterize functional and effective brain connectivity.

    Science.gov (United States)

    Niso, Guiomar; Bruña, Ricardo; Pereda, Ernesto; Gutiérrez, Ricardo; Bajo, Ricardo; Maestú, Fernando; del-Pozo, Francisco

    2013-10-01

    The analysis of the interdependence between time series has become an important field of research in the last years, mainly as a result of advances in the characterization of dynamical systems from the signals they produce, the introduction of concepts such as generalized and phase synchronization and the application of information theory to time series analysis. In neurophysiology, different analytical tools stemming from these concepts have added to the 'traditional' set of linear methods, which includes the cross-correlation and the coherency function in the time and frequency domain, respectively, or more elaborated tools such as Granger Causality.This increase in the number of approaches to tackle the existence of functional (FC) or effective connectivity (EC) between two (or among many) neural networks, along with the mathematical complexity of the corresponding time series analysis tools, makes it desirable to arrange them into a unified-easy-to-use software package. The goal is to allow neuroscientists, neurophysiologists and researchers from related fields to easily access and make use of these analysis methods from a single integrated toolbox.Here we present HERMES ( http://hermes.ctb.upm.es ), a toolbox for the Matlab® environment (The Mathworks, Inc), which is designed to study functional and effective brain connectivity from neurophysiological data such as multivariate EEG and/or MEG records. It includes also visualization tools and statistical methods to address the problem of multiple comparisons. We believe that this toolbox will be very helpful to all the researchers working in the emerging field of brain connectivity analysis. PMID:23812847

  2. Integrated Information System of Monitoring and Management for Heart Centers

    Directory of Open Access Journals (Sweden)

    Adrian Brezulianu

    2012-08-01

    Full Text Available The integrated information system presented in this paper is focused on increasing the quality of the medical services offered to the patients by rendering the activities more efficient and by corroborating the family doctors and the cardiologists’ efforts. In order to accomplish the mentioned objectives we propose implementing an integrated information system by means of which the integrated management of the medical data will be done. In addition, it has been offered a collaborative instrument, patient oriented, that it will be used both by the family doctor and by the specialist doctor.

  3. Effects of Yishendaluo decoction on blood-brain barrier integrity in mice with experimental autoimmune encephalomyelitis

    Institute of Scientific and Technical Information of China (English)

    Yanqing Wu; Ying Gao; Lingqun Zhu; Yonghong Gao; Dongmei Zhang; Lixia Lou; Yanfang Yan

    2011-01-01

    This study investigated the effects of Yishendaluo decoction on the loss of blood-brain barrier integrity in mice exhibiting experimental autoimmune encephalomyelitis.To this end,we used real-time fluorescent quantitative PCR to measure the levels of mRNAs specific to the T cell markers CD4 and CD8,and the monocyte marker CD11b.In addition,we used Evans blue dye extravasation in the spinal cord and brain tissues to assess blood-brain barrier permeability.The results indicated that an increase in blood-brain barrier permeability was associated with an increase in CD4,CD8 and CD11b mRNA expression in experimental autoimmune encephalomyelitis mice.Yishendaluo decoction administration significantly reversed inflammatory cell accumulation in cerebral tissues of experimental autoimmune encephalomyelitis mice.

  4. Integration technology research on marine geographical information system

    Institute of Scientific and Technical Information of China (English)

    XUE Cunjin; SU Fenzhen; DU Yunyan; YANG Xiaomei

    2008-01-01

    It is urgent and necessary to integrate a marine geographical information system (MGIS) with marine remote sensing detection modules.On the basis of the current technology and features of applications,an open three-layer integration framework is de-signed.At the data layer,a two-level three-base integration mechanism based on the plug-in technology is applied;At the func-tion layer,an integration mode based on API,DLL,EXE and COM is discussed;and at the application layer,a sharing mecha-nism based on the clients/service is adopted.As an example,the remote sensing integrated application information system of Chinas coastal zone and offshore (MaXplorer1.0) with multiecology remote sensing fusion and assimilation module,surge detec-tion module as well as eight other thematic application modules is integrated,and the key technology of integration is discussed at different layers and in different modules.The result shows that it is possible to realize the conformity of technology and resources and to provide the incorporate technology platform for marine information operational functioning after applying the integration framework.

  5. An Integrated Model of Information Literacy, Based upon Domain Learning

    Science.gov (United States)

    Thompson, Gary B.; Lathey, Johnathan W.

    2013-01-01

    Introduction. Grounded in Alexander's model of domain learning, this study presents an integrated micro-model of information literacy. It is predicated upon the central importance of domain learning for the development of the requisite research skills by students. Method. The authors reviewed previous models of information literacy and…

  6. Brain Tumor Detection Based on Bilateral Symmetry Information

    OpenAIRE

    Sachin, Narkhede; Shah, Deven; Khairnar, Vaishali; Kadu, Sujata

    2014-01-01

    Advances in computing technology have allowed researchers across many fields of endeavor to collect and maintain vast amounts of observational statistical data such as clinical data,biological patient data,data regarding access of web sites,financial data,and the like.Brain Magnetic Resonance Imaging(MRI)segmentation is a complex problem in the field of medical imaging despite various presented methods.MR image of human brain can be divided into several sub regions especially soft tissues suc...

  7. Alteration of blood-brain barrier integrity by retroviral infection.

    Directory of Open Access Journals (Sweden)

    Philippe V Afonso

    2008-11-01

    Full Text Available The blood-brain barrier (BBB, which forms the interface between the blood and the cerebral parenchyma, has been shown to be disrupted during retroviral-associated neuromyelopathies. Human T Lymphotropic Virus (HTLV-1 Associated Myelopathy/Tropical Spastic Paraparesis (HAM/TSP is a slowly progressive neurodegenerative disease associated with BBB breakdown. The BBB is composed of three cell types: endothelial cells, pericytes and astrocytes. Although astrocytes have been shown to be infected by HTLV-1, until now, little was known about the susceptibility of BBB endothelial cells to HTLV-1 infection and the impact of such an infection on BBB function. We first demonstrated that human cerebral endothelial cells express the receptors for HTLV-1 (GLUT-1, Neuropilin-1 and heparan sulfate proteoglycans, both in vitro, in a human cerebral endothelial cell line, and ex vivo, on spinal cord autopsy sections from HAM/TSP and non-infected control cases. In situ hybridization revealed HTLV-1 transcripts associated with the vasculature in HAM/TSP. We were able to confirm that the endothelial cells could be productively infected in vitro by HTLV-1 and that blocking of either HSPGs, Neuropilin 1 or Glut1 inhibits this process. The expression of the tight-junction proteins within the HTLV-1 infected endothelial cells was altered. These cells were no longer able to form a functional barrier, since BBB permeability and lymphocyte passage through the monolayer of endothelial cells were increased. This work constitutes the first report of susceptibility of human cerebral endothelial cells to HTLV-1 infection, with implications for HTLV-1 passage through the BBB and subsequent deregulation of the central nervous system homeostasis. We propose that the susceptibility of cerebral endothelial cells to retroviral infection and subsequent BBB dysfunction is an important aspect of HAM/TSP pathogenesis and should be considered in the design of future therapeutics strategies.

  8. Brain Basics

    Medline Plus

    Full Text Available ... Brain Basics provides information on how the brain works, how mental illnesses are disorders of the brain, ... learning more about how the brain grows and works in healthy people, and how normal brain development ...

  9. [Exploring a new mode of integrative medicine information service].

    Science.gov (United States)

    Su, Da-Ming; Fan, Wei-Yu; Cui, Meng

    2012-06-01

    With the significant and continuous growth of the research and application of complementary and alternative medicine (CAM) all over the world, the demand for medical information services has been increasing correspondingly. However, the barriers of accessing and utilizing non-English literature, and the barrier of language have blocked English speaking clinicians and researchers of CAM from obtaining high quality and authoritative medical evidence from the non-English medical resources. This article, with introducing the UCLA Information Center for East-West Integrative Medicine, will demonstrate a new collaborative mode of integrative medicine information service between China and the US, and discuss the perceived challenges.

  10. Brain response during the M170 time interval is sensitive to socially relevant information.

    Science.gov (United States)

    Arviv, Oshrit; Goldstein, Abraham; Weeting, Janine C; Becker, Eni S; Lange, Wolf-Gero; Gilboa-Schechtman, Eva

    2015-11-01

    Deciphering the social meaning of facial displays is a highly complex neurological process. The M170, an event related field component of MEG recording, like its EEG counterpart N170, was repeatedly shown to be associated with structural encoding of faces. However, the scope of information encoded during the M170 time window is still being debated. We investigated the neuronal origin of facial processing of integrated social rank cues (SRCs) and emotional facial expressions (EFEs) during the M170 time interval. Participants viewed integrated facial displays of emotion (happy, angry, neutral) and SRCs (indicated by upward, downward, or straight head tilts). We found that the activity during the M170 time window is sensitive to both EFEs and SRCs. Specifically, highly prominent activation was observed in response to SRC connoting dominance as compared to submissive or egalitarian head cues. Interestingly, the processing of EFEs and SRCs appeared to rely on different circuitry. Our findings suggest that vertical head tilts are processed not only for their sheer structural variance, but as social information. Exploring the temporal unfolding and brain localization of non-verbal cues processing may assist in understanding the functioning of the social rank biobehavioral system. PMID:26423664

  11. Practical measures of integrated information for time-series data.

    Directory of Open Access Journals (Sweden)

    Adam B Barrett

    Full Text Available A recent measure of 'integrated information', Φ(DM, quantifies the extent to which a system generates more information than the sum of its parts as it transitions between states, possibly reflecting levels of consciousness generated by neural systems. However, Φ(DM is defined only for discrete Markov systems, which are unusual in biology; as a result, Φ(DM can rarely be measured in practice. Here, we describe two new measures, Φ(E and Φ(AR, that overcome these limitations and are easy to apply to time-series data. We use simulations to demonstrate the in-practice applicability of our measures, and to explore their properties. Our results provide new opportunities for examining information integration in real and model systems and carry implications for relations between integrated information, consciousness, and other neurocognitive processes. However, our findings pose challenges for theories that ascribe physical meaning to the measured quantities.

  12. Early Shifts of Brain Metabolism by Caloric Restriction Preserve White Matter Integrity and Long-Term Memory in Aging Mice

    OpenAIRE

    Janet eGuo; Vikas eBakshi; Ai-Ling eLin

    2015-01-01

    Preservation of brain integrity with age is highly associated with lifespan determination. Caloric restriction (CR) has been shown to increase longevity and healthspan in various species; however, its effects on preserving living brain functions in aging remain largely unexplored. In the study, we used multimodal, non-invasive neuroimaging (PET/MRI/MRS) to determine in vivo brain glucose metabolism, energy metabolites, and white matter structural integrity in young and old mice fed with eithe...

  13. Information integrity and privacy for computerized medical patient records

    Energy Technology Data Exchange (ETDEWEB)

    Gallegos, J.; Hamilton, V.; Gaylor, T.; McCurley, K.; Meeks, T.

    1996-09-01

    Sandia National Laboratories and Oceania, Inc. entered into a Cooperative Research and Development Agreement (CRADA) in November 1993 to provide ``Information Integrity and Privacy for Computerized Medical Patient Records`` (CRADA No. SC93/01183). The main objective of the project was to develop information protection methods that are appropriate for databases of patient records in health information systems. This document describes the findings and alternative solutions that resulted from this CRADA.

  14. Broad knowledge of information technologies: a prerequisite for the effective management of the integrated information system

    Energy Technology Data Exchange (ETDEWEB)

    Landau, H.B.

    1980-09-01

    There is a trend towards the bringing together of various information technologies into integrated information systems. The managers of these total systems therefore must be familiar with each of the component technologies and how they may be combined into a total information system. To accomplish this, the effective manager should first define the overall system as an integrated flow of information with each step identified; then, the alternate technologies applicable to each step may be selected. Methods of becoming technologically aware are suggested and examples of integrated systems are discussed.

  15. Misconceptions and Misattributions About Traumatic Brain Injury: An Integrated Conceptual Framework.

    Science.gov (United States)

    Block, Cady K; West, Sarah E; Goldin, Yelena

    2016-01-01

    The objective of the present narrative review was to provide a conceptual framework to address common misconceptions in the field of traumatic brain injury (TBI) and enhance clinical and research practices. This framework is based on review of the literature on TBI knowledge and beliefs. The comprehensive search of the literature included seminal and current texts as well as relevant articles on TBI knowledge and education, misconceptions, and misattributions. Reviewed materials ranged from 1970 to 2013 and were obtained from PubMed and PubMed Central online research databases. Research findings from the reviewed literature were integrated with existing social and cognitive psychological concepts to develop a framework that includes: (1) the identification antecedents of TBI-related misconceptions and misattribution; (2) understanding of how inaccurate beliefs form and persist as the result of pre- and postinjury cognitive operations such as informational cascades and attribution biases; and (3) a discussion of ways in which these beliefs can result in consequences in all domains of a survivor's life, including physical and mental health, stigma, and discrimination. This framework is intended to serve as a first stage of development of a model that will improve treatment endeavors and service delivery to individuals with TBI and their families. PMID:26054960

  16. The Application of Integrated Knowledge-based Systems for the Biomedical Risk Assessment Intelligent Network (BRAIN)

    Science.gov (United States)

    Loftin, Karin C.; Ly, Bebe; Webster, Laurie; Verlander, James; Taylor, Gerald R.; Riley, Gary; Culbert, Chris; Holden, Tina; Rudisill, Marianne

    1993-01-01

    One of NASA's goals for long duration space flight is to maintain acceptable levels of crew health, safety, and performance. One way of meeting this goal is through the Biomedical Risk Assessment Intelligent Network (BRAIN), an integrated network of both human and computer elements. The BRAIN will function as an advisor to flight surgeons by assessing the risk of in-flight biomedical problems and recommending appropriate countermeasures. This paper describes the joint effort among various NASA elements to develop BRAIN and an Infectious Disease Risk Assessment (IDRA) prototype. The implementation of this effort addresses the technological aspects of the following: (1) knowledge acquisition; (2) integration of IDRA components; (3) use of expert systems to automate the biomedical prediction process; (4) development of a user-friendly interface; and (5) integration of the IDRA prototype and Exercise Countermeasures Intelligent System (ExerCISys). Because the C Language, CLIPS (the C Language Integrated Production System), and the X-Window System were portable and easily integrated, they were chosen as the tools for the initial IDRA prototype. The feasibility was tested by developing an IDRA prototype that predicts the individual risk of influenza. The application of knowledge-based systems to risk assessment is of great market value to the medical technology industry.

  17. Brain Research: Environment and Emotions. Implications for Teaching Information Literacy Skills

    Science.gov (United States)

    Morris, Betty J.

    2004-01-01

    Library media specialists need to embrace brain research and implement its findings into the teaching of information literary skills. Research in the past two decades has used imaging techniques to allow the study of brain functions when listening to music versus composing a song or when recalling a noun or verb. Imaging allows researchers to look…

  18. Efficient physical embedding of topologically complex information processing networks in brains and computer circuits.

    Directory of Open Access Journals (Sweden)

    Danielle S Bassett

    2010-04-01

    Full Text Available Nervous systems are information processing networks that evolved by natural selection, whereas very large scale integrated (VLSI computer circuits have evolved by commercially driven technology development. Here we follow historic intuition that all physical information processing systems will share key organizational properties, such as modularity, that generally confer adaptivity of function. It has long been observed that modular VLSI circuits demonstrate an isometric scaling relationship between the number of processing elements and the number of connections, known as Rent's rule, which is related to the dimensionality of the circuit's interconnect topology and its logical capacity. We show that human brain structural networks, and the nervous system of the nematode C. elegans, also obey Rent's rule, and exhibit some degree of hierarchical modularity. We further show that the estimated Rent exponent of human brain networks, derived from MRI data, can explain the allometric scaling relations between gray and white matter volumes across a wide range of mammalian species, again suggesting that these principles of nervous system design are highly conserved. For each of these fractal modular networks, the dimensionality of the interconnect topology was greater than the 2 or 3 Euclidean dimensions of the space in which it was embedded. This relatively high complexity entailed extra cost in physical wiring: although all networks were economically or cost-efficiently wired they did not strictly minimize wiring costs. Artificial and biological information processing systems both may evolve to optimize a trade-off between physical cost and topological complexity, resulting in the emergence of homologous principles of economical, fractal and modular design across many different kinds of nervous and computational networks.

  19. Integrating Stress Information in Large Vocabulary Continuous Speech Recognition

    OpenAIRE

    Ludusan, Bogdan; Ziegler, Stefan; Gravier, Guillaume

    2012-01-01

    In this paper we propose a novel method for integrating stress information in the decoding step of a speech recognizer. A multiscale rhythm model was used to determine the stress scores for each syllable, which are further used to reinforce paths during search. Two strategies for integrating the stress were employed: the first one reinforces paths through all the syllables with a value proportional to the their stress score, while the second one enhances paths passing only through stressed sy...

  20. Integrated computational and conceptual solutions for complex environmental information management

    Science.gov (United States)

    Rückemann, Claus-Peter

    2016-06-01

    This paper presents the recent results of the integration of computational and conceptual solutions for the complex case of environmental information management. The solution for the major goal of creating and developing long-term multi-disciplinary knowledge resources and conceptual and computational support was achieved by implementing and integrating key components. The key components are long-term knowledge resources providing required structures for universal knowledge creation, documentation, and preservation, universal multi-disciplinary and multi-lingual conceptual knowledge and classification, especially, references to Universal Decimal Classification (UDC), sustainable workflows for environmental information management, and computational support for dynamical use, processing, and advanced scientific computing with Integrated Information and Computing System (IICS) components and High End Computing (HEC) resources.

  1. International seminar on integrated information systems. Book of extended synopses

    International Nuclear Information System (INIS)

    The information available to the IAEA under comprehensive safeguards agreement with an Additional protocol is intended to provide for as complete a picture as practicable of a State's current or planned nuclear programme. The central components of the strengthened safeguards system are: increased IAEA access to and evaluation of information about States' nuclear and nuclear-related activities and increased physical access to relevant locations for verification of the exclusively peaceful content of a States' nuclear programme. Strengthening measures implemented under the existing legal authority of the Agency have contributed to increased information and physical access. Thus the role of integrated information systems for safeguards relevant data acquisition became more significant

  2. Integrating hospital information systems in healthcare institutions: a mediation architecture.

    Science.gov (United States)

    El Azami, Ikram; Cherkaoui Malki, Mohammed Ouçamah; Tahon, Christian

    2012-10-01

    Many studies have examined the integration of information systems into healthcare institutions, leading to several standards in the healthcare domain (CORBAmed: Common Object Request Broker Architecture in Medicine; HL7: Health Level Seven International; DICOM: Digital Imaging and Communications in Medicine; and IHE: Integrating the Healthcare Enterprise). Due to the existence of a wide diversity of heterogeneous systems, three essential factors are necessary to fully integrate a system: data, functions and workflow. However, most of the previous studies have dealt with only one or two of these factors and this makes the system integration unsatisfactory. In this paper, we propose a flexible, scalable architecture for Hospital Information Systems (HIS). Our main purpose is to provide a practical solution to insure HIS interoperability so that healthcare institutions can communicate without being obliged to change their local information systems and without altering the tasks of the healthcare professionals. Our architecture is a mediation architecture with 3 levels: 1) a database level, 2) a middleware level and 3) a user interface level. The mediation is based on two central components: the Mediator and the Adapter. Using the XML format allows us to establish a structured, secured exchange of healthcare data. The notion of medical ontology is introduced to solve semantic conflicts and to unify the language used for the exchange. Our mediation architecture provides an effective, promising model that promotes the integration of hospital information systems that are autonomous, heterogeneous, semantically interoperable and platform-independent.

  3. Integrating hospital information systems in healthcare institutions: a mediation architecture.

    Science.gov (United States)

    El Azami, Ikram; Cherkaoui Malki, Mohammed Ouçamah; Tahon, Christian

    2012-10-01

    Many studies have examined the integration of information systems into healthcare institutions, leading to several standards in the healthcare domain (CORBAmed: Common Object Request Broker Architecture in Medicine; HL7: Health Level Seven International; DICOM: Digital Imaging and Communications in Medicine; and IHE: Integrating the Healthcare Enterprise). Due to the existence of a wide diversity of heterogeneous systems, three essential factors are necessary to fully integrate a system: data, functions and workflow. However, most of the previous studies have dealt with only one or two of these factors and this makes the system integration unsatisfactory. In this paper, we propose a flexible, scalable architecture for Hospital Information Systems (HIS). Our main purpose is to provide a practical solution to insure HIS interoperability so that healthcare institutions can communicate without being obliged to change their local information systems and without altering the tasks of the healthcare professionals. Our architecture is a mediation architecture with 3 levels: 1) a database level, 2) a middleware level and 3) a user interface level. The mediation is based on two central components: the Mediator and the Adapter. Using the XML format allows us to establish a structured, secured exchange of healthcare data. The notion of medical ontology is introduced to solve semantic conflicts and to unify the language used for the exchange. Our mediation architecture provides an effective, promising model that promotes the integration of hospital information systems that are autonomous, heterogeneous, semantically interoperable and platform-independent. PMID:22086739

  4. A Measure for Brain Complexity: Relating Functional Segregation and Integration in the Nervous System

    Science.gov (United States)

    Tononi, Giulio; Sporns, Olaf; Edelman, Gerald M.

    1994-05-01

    In brains of higher vertebrates, the functional segregation of local areas that differ in their anatomy and physiology contrasts sharply with their global integration during perception and behavior. In this paper, we introduce a measure, called neural complexity (C_N), that captures the interplay between these two fundamental aspects of brain organization. We express functional segregation within a neural system in terms of the relative statistical independence of small subsets of the system and functional integration in terms of significant deviations from independence of large subsets. C_N is then obtained from estimates of the average deviation from statistical independence for subsets of increasing size. C_N is shown to be high when functional segregation coexists with integration and to be low when the components of a system are either completely independent (segregated) or completely dependent (integrated). We apply this complexity measure in computer simulations of cortical areas to examine how some basic principles of neuroanatomical organization constrain brain dynamics. We show that the connectivity patterns of the cerebral cortex, such as a high density of connections, strong local connectivity organizing cells into neuronal groups, patchiness in the connectivity among neuronal groups, and prevalent reciprocal connections, are associated with high values of C_N. The approach outlined here may prove useful in analyzing complexity in other biological domains such as gene regulation and embryogenesis.

  5. Technical development of integrated radwaste management information system in Taiwan

    Energy Technology Data Exchange (ETDEWEB)

    Lin, C.; Tsai, C.M.; Chang, P.L.

    1994-12-31

    Radioactive waste poses very complex problems from its generation, processing, shipping in-transit and interim storage, to its final destination and is carefully planned in Taiwan. The objectives of this plan are to use technical management skills and integrated computer technology to provide an Electronic Information Service Environment. We use a relational data structure to establish a computerized management of the radioactive waste. It combines methodologies in technical management, data processing, data base, hierarchical tree structure, multi-media user interface, decision analysis, and artificial intelligence, etc., to accomplish the integration of radioactive waste information and to effectively utilize resources in order to raise the overall management level and efficiency in Taiwan.

  6. Optimal Perceived Timing: Integrating Sensory Information with Dynamically Updated Expectations.

    Science.gov (United States)

    Di Luca, Massimiliano; Rhodes, Darren

    2016-01-01

    The environment has a temporal structure, and knowing when a stimulus will appear translates into increased perceptual performance. Here we investigated how the human brain exploits temporal regularity in stimulus sequences for perception. We find that the timing of stimuli that occasionally deviate from a regularly paced sequence is perceptually distorted. Stimuli presented earlier than expected are perceptually delayed, whereas stimuli presented on time and later than expected are perceptually accelerated. This result suggests that the brain regularizes slightly deviant stimuli with an asymmetry that leads to the perceptual acceleration of expected stimuli. We present a Bayesian model for the combination of dynamically-updated expectations, in the form of a priori probability of encountering future stimuli, with incoming sensory information. The asymmetries in the results are accounted for by the asymmetries in the distributions involved in the computational process. PMID:27385184

  7. Optimal Perceived Timing: Integrating Sensory Information with Dynamically Updated Expectations

    Science.gov (United States)

    Di Luca, Massimiliano; Rhodes, Darren

    2016-01-01

    The environment has a temporal structure, and knowing when a stimulus will appear translates into increased perceptual performance. Here we investigated how the human brain exploits temporal regularity in stimulus sequences for perception. We find that the timing of stimuli that occasionally deviate from a regularly paced sequence is perceptually distorted. Stimuli presented earlier than expected are perceptually delayed, whereas stimuli presented on time and later than expected are perceptually accelerated. This result suggests that the brain regularizes slightly deviant stimuli with an asymmetry that leads to the perceptual acceleration of expected stimuli. We present a Bayesian model for the combination of dynamically-updated expectations, in the form of a priori probability of encountering future stimuli, with incoming sensory information. The asymmetries in the results are accounted for by the asymmetries in the distributions involved in the computational process. PMID:27385184

  8. Leading research on brain functional information processing; No kino joho shori no sendo kenkyu

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-03-01

    This research aims at searching the concept of an information processing device with a fully different architecture from a previous ones based on the study on human brain function, sense and perception, and developing the basic fabrication technology for such system, and realizing the human-like information processing mechanism of memorization, learning, association, perception, intuition and value judgement. As an approach deriving biological and technological models from experimental brain studies, the model was derived from the brain functional information processing based on brain development/differentiation mechanism, the control mechanism/material of brain activities, and the knowledge obtained from brain measurement and study. In addition, for understanding a brain oscillation phenomenon by computational neuroscience, the cerebral cortex neural network model composed of realistic neuron models was proposed. Evaluation of the previous large-scale neural network chip system showed its ability of learning and fast processing, however, the next-generation brain computer requires further R and D of some novel architecture, device and system. 184 refs., 41 figs., 2 tabs.

  9. Mathematical Models of Visual Information Processing in the Human Brain and Applications to Image Processing

    OpenAIRE

    Arai, Hitoshi

    2013-01-01

    In this lecture I give a survey of joint works of Hitoshi Arai and Shinobu Arai. The main purpose of our study is to construct mathematical models of visual information processing in the brain, and to give applications to image processing. On the past few decades, several studies have been made on mathematical models of visual information processing in the human brain. Our new models are constructed by using simple pinwheel framelets ([4]) and pinwheel framelets ([6]), which are a new class o...

  10. Integrated Information Systems Across the Weather-Climate Continuum

    Science.gov (United States)

    Pulwarty, R. S.; Higgins, W.; Nierenberg, C.; Trtanj, J.

    2015-12-01

    The increasing demand for well-organized (integrated) end-to-end research-based information has been highlighted in several National Academy studies, in IPCC Reports (such as the SREX and Fifth Assessment) and by public and private constituents. Such information constitutes a significant component of the "environmental intelligence" needed to address myriad societal needs for early warning and resilience across the weather-climate continuum. The next generation of climate research in service to the nation requires an even more visible, authoritative and robust commitment to scientific integration in support of adaptive information systems that address emergent risks and inform longer-term resilience strategies. A proven mechanism for resourcing such requirements is to demonstrate vision, purpose, support, connection to constituencies, and prototypes of desired capabilities. In this presentation we will discuss efforts at NOAA, and elsewhere, that: Improve information on how changes in extremes in key phenomena such as drought, floods, and heat stress impact management decisions for resource planning and disaster risk reduction Develop regional integrated information systems to address these emergent challenges, that integrate observations, monitoring and prediction, impacts assessments and scenarios, preparedness and adaptation, and coordination and capacity-building. Such systems, as illustrated through efforts such as NIDIS, have strengthened the integration across the foundational research enterprise (through for instance, RISAs, Modeling Analysis Predictions and Projections) by increasing agility for responding to emergent risks. The recently- initiated Climate Services Information System, in support of the WMO Global Framework for Climate Services draws on the above models and will be introduced during the presentation.

  11. Integrated information in discrete dynamical systems: motivation and theoretical framework.

    Directory of Open Access Journals (Sweden)

    David Balduzzi

    2008-06-01

    Full Text Available This paper introduces a time- and state-dependent measure of integrated information, phi, which captures the repertoire of causal states available to a system as a whole. Specifically, phi quantifies how much information is generated (uncertainty is reduced when a system enters a particular state through causal interactions among its elements, above and beyond the information generated independently by its parts. Such mathematical characterization is motivated by the observation that integrated information captures two key phenomenological properties of consciousness: (i there is a large repertoire of conscious experiences so that, when one particular experience occurs, it generates a large amount of information by ruling out all the others; and (ii this information is integrated, in that each experience appears as a whole that cannot be decomposed into independent parts. This paper extends previous work on stationary systems and applies integrated information to discrete networks as a function of their dynamics and causal architecture. An analysis of basic examples indicates the following: (i phi varies depending on the state entered by a network, being higher if active and inactive elements are balanced and lower if the network is inactive or hyperactive. (ii phi varies for systems with identical or similar surface dynamics depending on the underlying causal architecture, being low for systems that merely copy or replay activity states. (iii phi varies as a function of network architecture. High phi values can be obtained by architectures that conjoin functional specialization with functional integration. Strictly modular and homogeneous systems cannot generate high phi because the former lack integration, whereas the latter lack information. Feedforward and lattice architectures are capable of generating high phi but are inefficient. (iv In Hopfield networks, phi is low for attractor states and neutral states, but increases if the networks

  12. Integrating medical and research information: a big data approach.

    Science.gov (United States)

    Tilve Álvarez, Carlos M; Ayora Pais, Alberto; Ruíz Romero, Cristina; Llamas Gómez, Daniel; Carrajo García, Lino; Blanco García, Francisco J; Vázquez González, Guillermo

    2015-01-01

    Most of the information collected in different fields by Instituto de Investigación Biomédica de A Coruña (INIBIC) is classified as unstructured due to its high volume and heterogeneity. This situation, linked to the recent requirement of integrating it to the medical information, makes it necessary to implant specific architectures to collect and organize it before it can be analysed. The purpose of this article is to present the Hadoop framework as a solution to the problem of integrating research information in the Business Intelligence field. This framework can collect, explore, process and structure the aforementioned information, which allow us to develop an equivalent function to a data mart in an Intelligence Business system. PMID:25991244

  13. Transcallosal transfer of information and functional asymmetry of the human brain.

    Science.gov (United States)

    Nowicka, Anna; Tacikowski, Pawel

    2011-01-01

    The corpus callosum is the largest commissure in the brain and acts as a "bridge" of nerve fibres connecting the two cerebral hemispheres. It plays a crucial role in interhemispheric integration and is responsible for normal communication and cooperation between the two hemispheres. Evolutionary pressures guiding brain size are accompanied by reduced interhemispheric and enhanced intrahemispheric connectivity. Some lines of evidence suggest that the speed of transcallosal conduction is limited in large brains (e.g., in humans), thus favouring intrahemispheric processing and brain lateralisation. Patterns of directional symmetry/asymmetry of transcallosal transfer time may be related to the degree of brain lateralisation. Neural network modelling and electrophysiological studies on interhemispheric transmission provide data supporting this supposition.

  14. Measuring embeddedness: Hierarchical scale-dependent information exchange efficiency of the human brain connectome.

    Science.gov (United States)

    Ye, Allen Q; Zhan, Liang; Conrin, Sean; GadElKarim, Johnson; Zhang, Aifeng; Yang, Shaolin; Feusner, Jamie D; Kumar, Anand; Ajilore, Olusola; Leow, Alex

    2015-09-01

    This article presents a novel approach for understanding information exchange efficiency and its decay across hierarchies of modularity, from local to global, of the structural human brain connectome. Magnetic resonance imaging techniques have allowed us to study the human brain connectivity as a graph, which can then be analyzed using a graph-theoretical approach. Collectively termed brain connectomics, these sophisticated mathematical techniques have revealed that the brain connectome, like many networks, is highly modular and brain regions can thus be organized into communities or modules. Here, using tractography-informed structural connectomes from 46 normal healthy human subjects, we constructed the hierarchical modularity of the structural connectome using bifurcating dendrograms. Moving from fine to coarse (i.e., local to global) up the connectome's hierarchy, we computed the rate of decay of a new metric that hierarchically preferentially weighs the information exchange between two nodes in the same module. By computing "embeddedness"-the ratio between nodal efficiency and this decay rate, one could thus probe the relative scale-invariant information exchange efficiency of the human brain. Results suggest that regions that exhibit high embeddedness are those that comprise the limbic system, the default mode network, and the subcortical nuclei. This supports the presence of near-decomposability overall yet relative embeddedness in select areas of the brain. The areas we identified as highly embedded are varied in function but are arguably linked in the evolutionary role they play in memory, emotion and behavior.

  15. White matter fiber degradation attenuates hemispheric asymmetry when integrating visuomotor information.

    Science.gov (United States)

    Schulte, Tilman; Müller-Oehring, Eva M; Rohlfing, Torsten; Pfefferbaum, Adolf; Sullivan, Edith V

    2010-09-01

    Degradation of white matter fibers can affect the transmission of signals in brain circuits that normally enable integration of highly lateralized visual and motor processes. Here, we used diffusion tensor imaging tractography in combination with functional magnetic resonance imaging to examine the specific contributions of interhemispheric and intrahemispheric white matter fibers to functional measures of hemispheric transfer and parallel information processing using bilateral and unilateral left and right visual field stimulation in normal and compromised systems. In healthy adults, a greater degree of bilateral processing advantage with the left (nondominant) hand correlated with higher integrity of callosal fibers connecting occipital cortices, whereas less unilateral processing advantage with the right hand correlated with higher integrity of left-hemispheric posterior cingulate fibers. In contrast, alcoholics who have compromised callosal integrity showed less bilateral processing advantage than controls when responding with the left hand and greater unilateral processing advantage when responding with the right hand. We also found degraded left posterior cingulate and posterior callosal fibers in chronic alcoholics, which is consistent with functional imaging results of less left posterior cingulate and extrastriate cortex activation in alcoholics than controls when processing bilateral compared with unilateral visual field stimulation. Together, our results demonstrated that interhemispheric and intrahemispheric white matter fiber pathways mediate visuomotor integration asymmetrically and that subtle white matter fiber degradation in alcoholism attenuated the normal pattern of hemispheric asymmetry, which may have ramifications for the efficiency of visual information processing and fast response execution.

  16. EEG-fMRI integration for the study of human brain function.

    Science.gov (United States)

    Jorge, João; van der Zwaag, Wietske; Figueiredo, Patrícia

    2014-11-15

    Electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) have proved to be extremely valuable tools for the non-invasive study of human brain function. Moreover, due to a notable degree of complementarity between the two modalities, the combination of EEG and fMRI data has been actively sought in the last two decades. Although initially focused on epilepsy, EEG-fMRI applications were rapidly extended to the study of healthy brain function, yielding new insights into its underlying mechanisms and pathways. Nevertheless, EEG and fMRI have markedly different spatial and temporal resolutions, and probe neuronal activity through distinct biophysical processes, many aspects of which are still poorly understood. The remarkable conceptual and methodological challenges associated with EEG-fMRI integration have motivated the development of a wide range of analysis approaches over the years, each relying on more or less restrictive assumptions, and aiming to shed further light on the mechanisms of brain function along with those of the EEG-fMRI coupling itself. Here, we present a review of the most relevant EEG-fMRI integration approaches yet proposed for the study of brain function, supported by a general overview of our current understanding of the biophysical mechanisms coupling the signals obtained from the two modalities.

  17. Fitness, but not physical activity, is related to functional integrity of brain networks associated with aging.

    Science.gov (United States)

    Voss, Michelle W; Weng, Timothy B; Burzynska, Agnieszka Z; Wong, Chelsea N; Cooke, Gillian E; Clark, Rachel; Fanning, Jason; Awick, Elizabeth; Gothe, Neha P; Olson, Erin A; McAuley, Edward; Kramer, Arthur F

    2016-05-01

    Greater physical activity and cardiorespiratory fitness are associated with reduced age-related cognitive decline and lower risk for dementia. However, significant gaps remain in the understanding of how physical activity and fitness protect the brain from adverse effects of brain aging. The primary goal of the current study was to empirically evaluate the independent relationships between physical activity and fitness with functional brain health among healthy older adults, as measured by the functional connectivity of cognitively and clinically relevant resting state networks. To build context for fitness and physical activity associations in older adults, we first demonstrate that young adults have greater within-network functional connectivity across a broad range of cortical association networks. Based on these results and previous research, we predicted that individual differences in fitness and physical activity would be most strongly associated with functional integrity of the networks most sensitive to aging. Consistent with this prediction, and extending on previous research, we showed that cardiorespiratory fitness has a positive relationship with functional connectivity of several cortical networks associated with age-related decline, and effects were strongest in the default mode network (DMN). Furthermore, our results suggest that the positive association of fitness with brain function can occur independent of habitual physical activity. Overall, our findings provide further support that cardiorespiratory fitness is an important factor in moderating the adverse effects of aging on cognitively and clinically relevant functional brain networks.

  18. THE INFORMATION SUPPLY OF THE EVALUATION OF INTEGRATION DEALINGS’ STRATEGY

    Directory of Open Access Journals (Sweden)

    Aleksandrov I. N.

    2014-12-01

    Full Text Available Strategically significant dealings of bussines entities’ amalgamation and absorption are revised in the article. It presents the methods and information supply of the evaluation the business entity’s potential and the evaluation of potential increment of a business entity as a result of integration

  19. THE INFORMATION SUPPLY OF THE EVALUATION OF INTEGRATION DEALINGS’ STRATEGY

    OpenAIRE

    Aleksandrov I. N.; Fedorova M. Y.

    2014-01-01

    Strategically significant dealings of bussines entities’ amalgamation and absorption are revised in the article. It presents the methods and information supply of the evaluation the business entity’s potential and the evaluation of potential increment of a business entity as a result of integration

  20. Emerging Communities: Integrating Networked Information into Library Services (Book Review).

    Science.gov (United States)

    Afifi, Marianne

    1995-01-01

    Reviews this collection of papers, edited by Ann P. Bishop, which present the current state of networking as it relates to libraries and the community. Recommends the book as a compendium of lessons, learned and to be learned, as networked information becomes an integral and necessary part of the library world. (JMV)

  1. Measuring Information and Communication Technology (ICT) Curriculum Integration

    Science.gov (United States)

    Proctor, Romina M. J.; Watson, Glenice; Finger, Glenn

    2004-01-01

    There is currently a trend toward the development of methodologies to measure Information and Communication Technology (ICT) curriculum integration and its resultant impact on student learning outcomes. Simplistic, negative correlations between numbers of classroom computers and standardized literacy and numeracy test results provide headlines for…

  2. Economic integration in North America: Formal, Informal and Spatial Aspects.

    OpenAIRE

    Proulx, P.P.

    1996-01-01

    An exemination of a series of indicators of economic integration in the western hemisphere (Canada-USA-Latin America) indicates that it is proceeding under the influence of formal trade agreements and informal forces including technological change, multinational firm rationalization and location strategies, etc.

  3. Integration of Informal Music Technologies in Secondary School Music Lessons

    Science.gov (United States)

    Stowell, Dan; Dixon, Simon

    2014-01-01

    Technologies such as YouTube, mobile phones and MP3 players are increasingly integrated into secondary school music in the UK. At the same time, the gap between formal and informal music learning is being bridged by the incorporation of students' preferred music into class activities. We conducted an ethnographic study in two secondary…

  4. Conducting Institutional Research Using an Integrated Student Information System.

    Science.gov (United States)

    Yost, Michael

    The use of an integrated student information system (ISIS) to conduct institutional research at Trinity University is discussed. The types of data contained in the system, which has 59 files, include: student characteristics, recruitment, financial aid, registration, faculty load, and class scheduling. The data for students, faculty, departments,…

  5. The Integrity of Digital Information: Mechanics and Definitional Issues.

    Science.gov (United States)

    Lynch, Clifford A.

    1994-01-01

    Considers issues regarding the migration of a system of literature into electronic formats. Highlights include integrity in an information distribution system; digest technology; tracings that permit detection of copied digital objects; verifying sources; digital signature technology and cryptography; electronic publishing; and intellectual…

  6. Brain activity and cognition: a connection from thermodynamics and information theory.

    Science.gov (United States)

    Collell, Guillem; Fauquet, Jordi

    2015-01-01

    The connection between brain and mind is an important scientific and philosophical question that we are still far from completely understanding. A crucial point to our work is noticing that thermodynamics provides a convenient framework to model brain activity, whereas cognition can be modeled in information-theoretical terms. In fact, several models have been proposed so far from both approaches. A second critical remark is the existence of deep theoretical connections between thermodynamics and information theory. In fact, some well-known authors claim that the laws of thermodynamics are nothing but principles in information theory. Unlike in physics or chemistry, a formalization of the relationship between information and energy is currently lacking in neuroscience. In this paper we propose a framework to connect physical brain and cognitive models by means of the theoretical connections between information theory and thermodynamics. Ultimately, this article aims at providing further insight on the formal relationship between cognition and neural activity.

  7. Integration of information and scientific literacy: promoting literacy in undergraduates.

    Science.gov (United States)

    Porter, Jason A; Wolbach, Kevin C; Purzycki, Catherine B; Bowman, Leslie A; Agbada, Eva; Mostrom, Alison M

    2010-01-01

    The Association of College and Research Libraries recommends incorporating information literacy (IL) skills across university and college curricula, for the goal of developing information literate graduates. Congruent with this goal, the Departments of Biological Sciences and Information Science developed an integrated IL and scientific literacy (SL) exercise for use in a first-year biology course. Students were provided the opportunity to access, retrieve, analyze, and evaluate primary scientific literature. By the completion of this project, student responses improved concerning knowledge and relevance of IL and SL skills. This project exposes students to IL and SL early in their undergraduate experience, preparing them for future academic advancement.

  8. TeraGrid's integrated information service.

    Energy Technology Data Exchange (ETDEWEB)

    Liming, L.; Navarro, J.-P.; Blau, E.; Brechin, J.; Catlett, C.; Dahan, M.; Diehl, D.; Dooley, R.; Dwyer, M.; Ericson, K.; Foster, I.; Hanna, E.; Hart, D. L.; Jordan, C.; Light, R.; Martin, S.; McGee, J.; Pearlman, L.; Reilly, J.; Scavo, T.; Shapiro, M.; Smallen, S.; Smith, W.; Wilkins-Diehr, N. (Mathematics and Computer Science); (Univ. of Chicago); (Univ. of Southern California); (National Center for Supercomputing Applications); (San Diego Supercomputer Center); (Texas Advanced Computing Center); (Pittsburgh Supercomputing Center); (Renaissance Computing Inst.)

    2009-01-01

    The NSF TeraGrid project has designed and constructed a federated integrated information service (IIS) to serve its capability publishing and discovery needs. This service has also proven helpful in automating TeraGrid's operational activities. We describe the requirements that motivated this work; IIS's system architecture, information architecture, and information content; processes that IIS currently supports; and how various layers of the system architecture are being used. We also review motivating use cases that have not yet been satisfied by IIS and outline approaches for future work.

  9. Modeling dynamic functional information flows on large-scale brain networks.

    Science.gov (United States)

    Lv, Peili; Guo, Lei; Hu, Xintao; Li, Xiang; Jin, Changfeng; Han, Junwei; Li, Lingjiang; Liu, Tianming

    2013-01-01

    Growing evidence from the functional neuroimaging field suggests that human brain functions are realized via dynamic functional interactions on large-scale structural networks. Even in resting state, functional brain networks exhibit remarkable temporal dynamics. However, it has been rarely explored to computationally model such dynamic functional information flows on large-scale brain networks. In this paper, we present a novel computational framework to explore this problem using multimodal resting state fMRI (R-fMRI) and diffusion tensor imaging (DTI) data. Basically, recent literature reports including our own studies have demonstrated that the resting state brain networks dynamically undergo a set of distinct brain states. Within each quasi-stable state, functional information flows from one set of structural brain nodes to other sets of nodes, which is analogous to the message package routing on the Internet from the source node to the destination. Therefore, based on the large-scale structural brain networks constructed from DTI data, we employ a dynamic programming strategy to infer functional information transition routines on structural networks, based on which hub routers that most frequently participate in these routines are identified. It is interesting that a majority of those hub routers are located within the default mode network (DMN), revealing a possible mechanism of the critical functional hub roles played by the DMN in resting state. Also, application of this framework on a post trauma stress disorder (PTSD) dataset demonstrated interesting difference in hub router distributions between PTSD patients and healthy controls. PMID:24579202

  10. Brain network analysis: separating cost from topology using cost-integration.

    Directory of Open Access Journals (Sweden)

    Cedric E Ginestet

    Full Text Available A statistically principled way of conducting brain network analysis is still lacking. Comparison of different populations of brain networks is hard because topology is inherently dependent on wiring cost, where cost is defined as the number of edges in an unweighted graph. In this paper, we evaluate the benefits and limitations associated with using cost-integrated topological metrics. Our focus is on comparing populations of weighted undirected graphs that differ in mean association weight, using global efficiency. Our key result shows that integrating over cost is equivalent to controlling for any monotonic transformation of the weight set of a weighted graph. That is, when integrating over cost, we eliminate the differences in topology that may be due to a monotonic transformation of the weight set. Our result holds for any unweighted topological measure, and for any choice of distribution over cost levels. Cost-integration is therefore helpful in disentangling differences in cost from differences in topology. By contrast, we show that the use of the weighted version of a topological metric is generally not a valid approach to this problem. Indeed, we prove that, under weak conditions, the use of the weighted version of global efficiency is equivalent to simply comparing weighted costs. Thus, we recommend the reporting of (i differences in weighted costs and (ii differences in cost-integrated topological measures with respect to different distributions over the cost domain. We demonstrate the application of these techniques in a re-analysis of an fMRI working memory task. We also provide a Monte Carlo method for approximating cost-integrated topological measures. Finally, we discuss the limitations of integrating topology over cost, which may pose problems when some weights are zero, when multiplicities exist in the ranks of the weights, and when one expects subtle cost-dependent topological differences, which could be masked by cost-integration.

  11. An Integrated Information Retrieval Support System for Campus Network

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    This paper presents a new integrated information retrieval support system (IIRSS) which can help Web search engines retrieve cross-lingual information from heterogeneous resources stored in multi-databases in Intranet. The IIRSS, with a three-layer architecture, can cooperate with other application servers running in Intranet. By using intelligent agents to collect information and to create indexes on-the-fly, using an access control strategy to confine a user to browsing those accessible documents for him/her through a single portal, and using a new cross-lingual translation tool to help the search engine retrieve documents, the new system provides controllable information access with different authorizations, personalized services, and real-time information retrieval.

  12. Disruption of White Matter Integrity in Adult Survivors of Childhood Brain Tumors: Correlates with Long-Term Intellectual Outcomes

    OpenAIRE

    King, Tricia Z.; Liya Wang; Hui Mao

    2015-01-01

    Background Although chemotherapy and radiation treatment have contributed to increased survivorship, treatment-induced brain injury has been a concern when examining long-term intellectual outcomes of survivors. Specifically, disruption of brain white matter integrity and its relationship to intellectual outcomes in adult survivors of childhood brain tumors needs to be better understood. Methods Fifty-four participants underwent diffusion tensor imaging in addition to structural MRI and an in...

  13. Hermes, the Information Messenger, Integrating Information Services and Delivering Them to the End User.

    Science.gov (United States)

    Coello-Coutino, Gerardo; Ainsworth, Shirley; Escalante-Gonzalbo, Ana Marie

    2002-01-01

    Describes Hermes, a research tool that uses specially designed acquisition, parsing and presentation methods to integrate information resources on the Internet, from searching in disparate bibliographic databases, to accessing full text articles online, and developing a web of information associated with each reference via one common interface.…

  14. Systems Information Therapy and the central role of the brain in allostasis

    International Nuclear Information System (INIS)

    This work arose from the necessity to up date and clarify some basic concepts in contemporary medical practice such as those of health, disease, therapy and prevention. According to this perspective the work starts with a general epistemological review and goes on with an epistemological revision of biology and medicine. The concept of adaptation and the central role of the brain is then analysed and stated as the base to next consideration and deepening from a biophysical perspective. Physio-pathology of adaptation is assumed as a key concept in the definition and in the understanding of health and disease. A huge amount of endogenous and external stimuli has to be processed and response to them may lead to increase, stability or decrease of coherence in agreement with Frohlich's pioneering ideas. In this framework, the concept of stress, allostasis and allostatic load are outlined. Allostasis is defined as the capability of keeping stability through dynamic changes. A particular attention is paid to the emerging paradigms in biology and medicine especially those of system biology and system medicine trying to integrate the concept of complexity and hierarchical organization of the information flow in living organisms and in humans. In this framework biophysical signalling could play a significant role in modulating endogenous dynamics and in mediating external interactions. Additionally biophysical mechanisms could be involved in biological systems inner communication and could be responsible for the maintenance of systems inner coherence. The integration of the biophysical paradigm into contemporary medical practice is leading from one side to a better understanding of many pathways in physiopathology and from the other side to some new effective clinical applications. System Information Therapy is, for instance, is rising as a suitable and coherent tool in the application of thise concept being able to restore the self regulation and self regeneration

  15. Mobile Restaurant Information System Integrating Reservation Navigating and Parking Management

    Directory of Open Access Journals (Sweden)

    Chih-Yao Lo,

    2011-04-01

    Full Text Available In recent years, with the pace of technological development, people have become more and more demanding in terms of quality of life. At the same time the restaurant industry has become one of the largest industries in the world. To follow international trends and development in the restaurant business in Taiwan, various types of theme restaurants and cafes have emerged. Needless to saycompetition is intense. In such an environment, raising service quality and management performance are the foremost goals; informatization is the key to these goals. A restaurant information system is the digital nervous system of restaurant management, containing all the relevant processes. Management can understand operational conditions through a restaurant information system and respond to them. They can become aware of competitor challenges or customer needs and then formulate strategies accordingly. A restaurant information system combines software and hardware; it provides restaurant management with precise, direct, and abundant information, which can enhance insight and productivity.This study developed a restaurant information system aimed at online restaurant services and information management. Combined with a parking management system and GPS navigating technology, this powerful system applies object-oriented techniques; the extensibility of object-oriented systems allows integration with different information system cores, providing diversified management and new informational services. Functions can be easily extended, increasing the flexibility of the system. This information system can enhance competition, create overall advantage, and increase operationalefficiency and performance.

  16. Maximizing Information Diffusion in the Cyber-physical Integrated Network.

    Science.gov (United States)

    Lu, Hongliang; Lv, Shaohe; Jiao, Xianlong; Wang, Xiaodong; Liu, Juan

    2015-11-11

    Nowadays, our living environment has been embedded with smart objects, such as smart sensors, smart watches and smart phones. They make cyberspace and physical space integrated by their abundant abilities of sensing, communication and computation, forming a cyber-physical integrated network. In order to maximize information diffusion in such a network, a group of objects are selected as the forwarding points. To optimize the selection, a minimum connected dominating set (CDS) strategy is adopted. However, existing approaches focus on minimizing the size of the CDS, neglecting an important factor: the weight of links. In this paper, we propose a distributed maximizing the probability of information diffusion (DMPID) algorithm in the cyber-physical integrated network. Unlike previous approaches that only consider the size of CDS selection, DMPID also considers the information spread probability that depends on the weight of links. To weaken the effects of excessively-weighted links, we also present an optimization strategy that can properly balance the two factors. The results of extensive simulation show that DMPID can nearly double the information diffusion probability, while keeping a reasonable size of selection with low overhead in different distributed networks.

  17. Maximizing Information Diffusion in the Cyber-physical Integrated Network

    Directory of Open Access Journals (Sweden)

    Hongliang Lu

    2015-11-01

    Full Text Available Nowadays, our living environment has been embedded with smart objects, such as smart sensors, smart watches and smart phones. They make cyberspace and physical space integrated by their abundant abilities of sensing, communication and computation, forming a cyber-physical integrated network. In order to maximize information diffusion in such a network, a group of objects are selected as the forwarding points. To optimize the selection, a minimum connected dominating set (CDS strategy is adopted. However, existing approaches focus on minimizing the size of the CDS, neglecting an important factor: the weight of links. In this paper, we propose a distributed maximizing the probability of information diffusion (DMPID algorithm in the cyber-physical integrated network. Unlike previous approaches that only consider the size of CDS selection, DMPID also considers the information spread probability that depends on the weight of links. To weaken the effects of excessively-weighted links, we also present an optimization strategy that can properly balance the two factors. The results of extensive simulation show that DMPID can nearly double the information diffusion probability, while keeping a reasonable size of selection with low overhead in different distributed networks.

  18. Information flow between interacting human brains: Identification, validation, and relationship to social expertise.

    Science.gov (United States)

    Bilek, Edda; Ruf, Matthias; Schäfer, Axel; Akdeniz, Ceren; Calhoun, Vince D; Schmahl, Christian; Demanuele, Charmaine; Tost, Heike; Kirsch, Peter; Meyer-Lindenberg, Andreas

    2015-04-21

    Social interactions are fundamental for human behavior, but the quantification of their neural underpinnings remains challenging. Here, we used hyperscanning functional MRI (fMRI) to study information flow between brains of human dyads during real-time social interaction in a joint attention paradigm. In a hardware setup enabling immersive audiovisual interaction of subjects in linked fMRI scanners, we characterize cross-brain connectivity components that are unique to interacting individuals, identifying information flow between the sender's and receiver's temporoparietal junction. We replicate these findings in an independent sample and validate our methods by demonstrating that cross-brain connectivity relates to a key real-world measure of social behavior. Together, our findings support a central role of human-specific cortical areas in the brain dynamics of dyadic interactions and provide an approach for the noninvasive examination of the neural basis of healthy and disturbed human social behavior with minimal a priori assumptions. PMID:25848050

  19. Software and information life cycle (SILC) for the Integrated Information Services Organization

    Energy Technology Data Exchange (ETDEWEB)

    Eaton, D.; Cassidy, A.; Cuyler, D.; Eaton, S.; Joyce, S.; Kephart, E.; Thurston, I.; Schofield, J.; Knirk, D.

    1995-12-01

    This document describes the processes to be used for creating corporate information systems within the scope of the Integrated Information Services (IIS) Center. Issue B describes all phases of the life cycle, with strong emphasis on the interweaving of the Analysis and Design phases. This Issue B supersedes Issue A, which concentrated on the Analysis and Implementation phases within the context of the entire life cycle. Appendix A includes a full set of examples of the deliverables, excerpted from the Network Database. Subsequent issues will further develop these life cycle processes as we move toward enterprise-level management of information assets, including information meta-models and an integrated corporate information model. The phases described here, when combined with a specifications repository, will provide the basis for future reusable components and improve traceability of information system specifications to enterprise business rules.

  20. A Methodology to Extract Information from the Brain Waves in a Multi-Core Environment

    OpenAIRE

    Krishnakumar Venkatasubramanian; M. Rajasekhara Babu

    2013-01-01

    Brain Computer Interface (BCI) is one of the most dynamic fields in the world of Artificial Intelligence. It involves a direct neural interface between the subject and the machine, and the information is extracted from the brain in the form of waves. This raw brain-wave needs to be classified, de-noised, translated and suitably stored. These steps involve the use of a number of techniques like, thede-noising involves the use of Discrete Wavelet Transform (DWT) [1] or Recurrent Quantum Neural ...

  1. Melatonin Preserves Blood-Brain Barrier Integrity and Permeability via Matrix Metalloproteinase-9 Inhibition.

    Directory of Open Access Journals (Sweden)

    Himakarnika Alluri

    Full Text Available Microvascular hyperpermeability that occurs at the level of the blood-brain barrier (BBB often leads to vasogenic brain edema and elevated intracranial pressure following traumatic brain injury (TBI. At a cellular level, tight junction proteins (TJPs between neighboring endothelial cells maintain the integrity of the BBB via TJ associated proteins particularly, zonula occludens-1 (ZO-1 that binds to the transmembrane TJPs and actin cytoskeleton intracellularly. The pro-inflammatory cytokine, interleukin-1β (IL-1β as well as the proteolytic enzymes, matrix metalloproteinase-9 (MMP-9 are key mediators of trauma-associated brain edema. Recent studies indicate that melatonin a pineal hormone directly binds to MMP-9 and also might act as its endogenous inhibitor. We hypothesized that melatonin treatment will provide protection against TBI-induced BBB hyperpermeability via MMP-9 inhibition. Rat brain microvascular endothelial cells grown as monolayers were used as an in vitro model of the BBB and a mouse model of TBI using a controlled cortical impactor was used for all in vivo studies. IL-1β (10 ng/mL; 2 hours-induced endothelial monolayer hyperpermeability was significantly attenuated by melatonin (10 μg/mL; 1 hour, GM6001 (broad spectrum MMP inhibitor; 10 μM; 1 hour, MMP-9 inhibitor-1 (MMP-9 specific inhibitor; 5 nM; 1 hour or MMP-9 siRNA transfection (48 hours in vitro. Melatonin and MMP-9 inhibitor-1 pretreatment attenuated IL-1β-induced MMP-9 activity, loss of ZO-1 junctional integrity and f-actin stress fiber formation. IL-1β treatment neither affected ZO-1 protein or mRNA expression or cell viability. Acute melatonin treatment attenuated BBB hyperpermeability in a mouse controlled cortical impact model of TBI in vivo. In conclusion, one of the protective effects of melatonin against BBB hyperpermeability occurs due to enhanced BBB integrity via MMP-9 inhibition. In addition, acute melatonin treatment provides protection against BBB

  2. Information flow between interacting human brains: Identification, validation, and relationship to social expertise

    OpenAIRE

    Bilek, Edda; Ruf, Matthias; Schäfer, Axel; Akdeniz, Ceren; Calhoun, Vince D.; Schmahl, Christian; Demanuele, Charmaine; Tost, Heike; Kirsch, Peter; Meyer-Lindenberg, Andreas

    2015-01-01

    Social interaction is the likely driver of human brain evolution, critical for health, and underlies phenomena as varied as childhood development, stock market behavior, and much of what is studied in the humanities. However, appropriate experimental methods to study the underlying brain processes are still developing and technically challenging. Here, we extend previous pioneering approaches in neuroimaging [functional MRI (fMRI) hyperscanning] to provide a method for studying information fl...

  3. Transit light curves with finite integration time: Fisher information analysis

    Energy Technology Data Exchange (ETDEWEB)

    Price, Ellen M. [California Institute of Technology, 1200 East California Boulevard, Pasadena, CA 91125 (United States); Rogers, Leslie A. [California Institute of Technology, MC249-17, 1200 East California Boulevard, Pasadena, CA 91125 (United States)

    2014-10-10

    Kepler has revolutionized the study of transiting planets with its unprecedented photometric precision on more than 150,000 target stars. Most of the transiting planet candidates detected by Kepler have been observed as long-cadence targets with 30 minute integration times, and the upcoming Transiting Exoplanet Survey Satellite will record full frame images with a similar integration time. Integrations of 30 minutes affect the transit shape, particularly for small planets and in cases of low signal to noise. Using the Fisher information matrix technique, we derive analytic approximations for the variances and covariances on the transit parameters obtained from fitting light curve photometry collected with a finite integration time. We find that binning the light curve can significantly increase the uncertainties and covariances on the inferred parameters when comparing scenarios with constant total signal to noise (constant total integration time in the absence of read noise). Uncertainties on the transit ingress/egress time increase by a factor of 34 for Earth-size planets and 3.4 for Jupiter-size planets around Sun-like stars for integration times of 30 minutes compared to instantaneously sampled light curves. Similarly, uncertainties on the mid-transit time for Earth and Jupiter-size planets increase by factors of 3.9 and 1.4. Uncertainties on the transit depth are largely unaffected by finite integration times. While correlations among the transit depth, ingress duration, and transit duration all increase in magnitude with longer integration times, the mid-transit time remains uncorrelated with the other parameters. We provide code in Python and Mathematica for predicting the variances and covariances at www.its.caltech.edu/∼eprice.

  4. Comparative Evaluation for Brain Structural Connectivity Approaches: Towards Integrative Neuroinformatics Tool for Epilepsy Clinical Research.

    Science.gov (United States)

    Yang, Sheng; Tatsuoka, Curtis; Ghosh, Kaushik; Lacuey-Lecumberri, Nuria; Lhatoo, Samden D; Sahoo, Satya S

    2016-01-01

    Recent advances in brain fiber tractography algorithms and diffusion Magnetic Resonance Imaging (MRI) data collection techniques are providing new approaches to study brain white matter connectivity, which play an important role in complex neurological disorders such as epilepsy. Epilepsy affects approximately 50 million persons worldwide and it is often described as a disorder of the cortical network organization. There is growing recognition of the need to better understand the role of brain structural networks in the onset and propagation of seizures in epilepsy using high resolution non-invasive imaging technologies. In this paper, we perform a comparative evaluation of two techniques to compute structural connectivity, namely probabilistic fiber tractography and statistics derived from fractional anisotropy (FA), using diffusion MRI data from a patient with rare case of medically intractable insular epilepsy. The results of our evaluation demonstrate that probabilistic fiber tractography provides a more accurate map of structural connectivity and may help address inherent complexities of neural fiber layout in the brain, such as fiber crossings. This work provides an initial result towards building an integrative informatics tool for neuroscience that can be used to accurately characterize the role of fiber tract connectivity in neurological disorders such as epilepsy. PMID:27570685

  5. Project Integration Architecture: A Practical Demonstration of Information Propagation

    Science.gov (United States)

    Jones, William Henry

    2005-01-01

    One of the goals of the Project Integration Architecture (PIA) effort is to provide the ability to propagate information between disparate applications. With this ability, applications may then be formed into an application graph constituting a super-application. Such a super-application would then provide all of the analysis appropriate to a given technical system. This paper reports on a small demonstration of this concept in which a Computer Aided Design (CAD) application was connected to an inlet analysis code and geometry information automatically propagated from one to the other. The majority of the work reported involved not the technology of information propagation, but rather the conversion of propagated information into a form usable by the receiving application.

  6. Methodology of Adaptive Integrated Accounting System in Information Environment

    Directory of Open Access Journals (Sweden)

    Bochulya Tetyana V.

    2013-12-01

    Full Text Available The goal of the article lies in the study of logical and methodological justification of formation of the integrated system of accounting based on realities of the co-ordinated transformation of the society and economy and development of a new knowledge about formation and adjustment of the accounting system in it’s a priori new information competence with expansion of functionality for the justified idea of existence and development of business. Taking developments of the best representatives of the leading scientific society as a basis, the article offers a new vision of organisation of the accounting system, based on the modern projection of information competence and harmonisation of main processes of information service for adaptation of the system for multi-vector inquiries of consumers of information. Pursuant to results of the conducted study, the article makes an effort to change the established opinion about information and professional competences of the accounting system and attach a new qualitative significance to them. The article makes a proposal with respect to calculation of quality of the information system on the basis of key indicators of its information service. It lays the foundation of the prospective study of the problems of building the accounting system in such a projection, so that realities of internal and external processes were maximally co-ordinated based on the idea of their information development.

  7. Integration of geologic information in the WIPP safety case

    International Nuclear Information System (INIS)

    The Waste Isolation Pilot Plant (WIPP) is the U.S. Department of Energy's (DOE) deep geologic repository for transuranic (TRU) waste. The repository was constructed 655 m below ground surface in bedded halite of the Permian Salado Formation in southeastern New Mexico. Site-characterisation activities began in 1974, and WIPP became a licensed, operating repository in March 1999. The WIPP safety case relies on integration of a diverse range of geologic information to demonstrate that the geosphere adequately contains radionuclides for the regulatory time period. Information is prioritized based on its use in numerical PA models and role in supporting conceptual models. Integration is now achieved by conducting all activities under an interrelated structure of Analysis and Test Plans. (author)

  8. Creating integrated information management system for small and medium business

    Directory of Open Access Journals (Sweden)

    Deinega Valentina Nikolaevna

    2014-09-01

    Full Text Available Enterprises regardless of their size and ownership, focused on a long and successful work needed to create a system of integrated information systems. This is dictated by the fact that, firstly, it combines the financial data, and secondly provides a standardized manufacturing processes, thirdly, solves the problem of standardization of information in a frame. The main thing in your decision-making - the definition of the strategy of the business and the reflection of this strategy on goals and objectives. ERP-system help to maintain competitiveness and leadership in the market.

  9. The effects of ultrasound on BBB integration in ischemic brain injury model

    Directory of Open Access Journals (Sweden)

    Shuaib A.

    2008-06-01

    Full Text Available Background: Ultrasound (US has been used in neuroprotection after cerebral ischemia, however the mechanism of action remains unclearly. We have previously shown the protective effect of ultrasound on infarction volume and brain edema in ischemic brain injured at normothermic condition. Ultrasound may also amplify the effect of fibrinolytic medications in thrombolysis process .We have also shown that hyperthermia can exacerbate cerebral ischemic injury and that the efficacy of tissue plasminogen activator (tPA is reduced in the presence of hyperthermia. In this study, the effects of US alone or in combination with tPA on brain ischemic injury were evaluated.Methods: Focal ischemic brain injury was induced by emblazing a pre-formed clot into the middle cerebral artery in rats. Principally, we examined whether US can reduce the perfusion deficits and, the damage of blood- brain barrier (BBB in the ischemic injured brain. There are two series of experiments at this study .in the first series, animals were randomly assigned to four groups (n=7 per group as follows: 1-control (saline, 2-US (1W/cm2, 10 duty cycle , 3- US+high- tPA (1W/cm2, 10 duty cycle +20 mg/kg and 4- high -tPA (20 mg/kg. We also examined the effects of US and tPA on BBB integrity after ischemic injury. The animals were assigned into four groups (n=7 per group, treatment is the same as above. BBB permeability was assessed by the Evans blue (EB extravasations method at 8 h after MCA occlusion. BBB permeability was evaluated by fluorescent detection of extravagated Evans blue dye and Perfusion deficits were analyzed using an Evans blue staining procedure. The perfused microvessels in the brain were visualized using fluorescent microscopy. Areas of perfusion deficits in the brain were traced, calculated and expressed in mm2.Results: The results showed that US improved neurological deficits significantly (p<0.05. The administration of US significantly decreased perfusion deficits and BBB

  10. Information and Communication Technology: Dynamics, Integration and Economic Stability

    OpenAIRE

    Paul J.J. Welfens

    2006-01-01

    Information and Communication Technology (ICT) has become a major driver of investment and growth in OECD countries. The analysis puts the focus on key developments in the ICT sector and international outsourcing dynamics as well as the specific role of ICT in the financial sector. One can show that the expansion of ICT is not only contributing to national and international outsourcing but to insourcing as well. Furthermore, ICT affects regional integration. In the context of a modified Dornb...

  11. Information Integration from Semantically Heterogeneous Biological Data Sources

    OpenAIRE

    Caragea, Doina; Bao, Jie; Pathak, Jyotishman; Silvescu, Adrian; Andorf, Carson; Dobbs, Drena; HONAVAR, VASANT

    2005-01-01

    We present the first prototype of INDUS (Intelligent Data Understanding System), a federated, query-centric system for information integration and knowledge acquisition from distributed, semantically heterogeneous data sources that can be viewed (conceptually) as tables. INDUS employs ontologies and inter-ontology mappings, to enable a user to view a collection of such data sources (regardless of location, internal structure and query interfaces) as though they were a collection of tables str...

  12. Diablo Canyon plant information management system and integrated communication system

    Energy Technology Data Exchange (ETDEWEB)

    Stanley, J.W.; Groff, C.

    1990-06-01

    The implementation of a comprehensive maintenance system called the plant information management system (PIMS) at the Diablo Canyon plant, together with its associated integrated communication system (ICS), is widely regarded as the most comprehensive undertaking of its kind in the nuclear industry. This paper provides an overview of the program at Diablo Canyon, an evaluation of system benefits, and highlights the future course of PIMS.

  13. Towards A Topological Framework for Integrating Semantic Information Sources

    Energy Technology Data Exchange (ETDEWEB)

    Joslyn, Cliff A.; Hogan, Emilie A.; Robinson, Michael

    2014-09-07

    In this position paper we argue for the role that topological modeling principles can play in providing a framework for sensor integration. While used successfully in standard (quantitative) sensors, we are developing this methodology in new directions to make it appropriate specifically for semantic information sources, including keyterms, ontology terms, and other general Boolean, categorical, ordinal, and partially-ordered data types. We illustrate the basics of the methodology in an extended use case/example, and discuss path forward.

  14. Methodology of Adaptive Integrated Accounting System in Information Environment

    OpenAIRE

    Bochulya Tetyana V.

    2013-01-01

    The goal of the article lies in the study of logical and methodological justification of formation of the integrated system of accounting based on realities of the co-ordinated transformation of the society and economy and development of a new knowledge about formation and adjustment of the accounting system in it's a priori new information competence with expansion of functionality for the justified idea of existence and development of business. Taking developments of the best representative...

  15. OrientI:A Strategy of Web Information Integration

    Institute of Scientific and Technical Information of China (English)

    YI Lei; MENG Xiao-feng; HU Dong-dong; YU Jun-tao; LI Yu

    2004-01-01

    We propose the OrientI approach for effectively building flexible applications on information integration.The system presents a fully visual development environment to build applications.With OrientI system, a user only needs to concentrate on the composition of components for building the InterPlan, and the detailed underlying operations and data streams are invisible to the user.A prototype system has been implemented and has partially proved the convenience brought by the OrientI approach.

  16. Integration of information and communication technologies in special relativity teaching

    International Nuclear Information System (INIS)

    Integration of information and communication technologies (ICTs) in special relativity teaching may bring multiple and complementary methods for introducing either difficult or abstract counterintuitive concepts. This paper describes multimedia content developed at Lyon University to enhance the learning process of undergraduate students. Two categories of animated scenarios have been identified: real experiments and thought experiments. Both typical examples of these scenarios and their impacts on the teaching process are discussed

  17. Integrated Information System for reserving rooms in Hotels

    Directory of Open Access Journals (Sweden)

    Dr. Safarini Osama

    2011-10-01

    Full Text Available It is very important to build new and modern flexible dynamic effective compatible reusable information systems including database to help manipulate different processes and deal with many parts around it. One of these is managing the room reservations for groups and individual, to focus necessary needs in hotels and to be integrated with accounting system. This system provides many tools can be used in taking decision.

  18. Integrating phrasing and intonation modelling using syntactic and morphosyntactic information

    OpenAIRE

    Dı'Az, Francisco Campillo; Van Santen, Jan; Banga, Eduardo Rodrı'Guez

    2009-01-01

    Abstract This paper focuses on the relationship between intonation and syntactic and morphosyntactic information. Although intonation and syntax are both related to dependencies between the different parts of a sentence, and are therefore related to meaning, the precise influence of grammar on intonation is not clear. We describe a novel method that uses syntactic and part-of-speech features in the framework of corpus-based intonation modelling, and which integrates part of the phr...

  19. A prospective study to evaluate a new residential community reintegration programme for severe chronic brain injury: the Brain Integration Programme.

    NARCIS (Netherlands)

    Geurtsen, G.J.; Martina, J.D.; Heugten, C.M. van; Geurts, A.C.H.

    2008-01-01

    PURPOSE: To assess the effectiveness of a residential community reintegration programme for participants with chronic sequelae of severe acquired brain injury that hamper community functioning. DESIGN: Prospective cohort study. SUBJECTS: Twenty-four participants with acquired brain injury (traumatic

  20. High-accuracy brain-machine interfaces using feedback information.

    Directory of Open Access Journals (Sweden)

    Hong Gi Yeom

    Full Text Available Sensory feedback is very important for movement control. However, feedback information has not been directly used to update movement prediction model in the previous BMI studies, although the closed-loop BMI system provides the visual feedback to users. Here, we propose a BMI framework combining image processing as the feedback information with a novel prediction method. The feedback-prediction algorithm (FPA generates feedback information from the positions of objects and modifies movement prediction according to the information. The FPA predicts a target among objects based on the movement direction predicted from the neural activity. After the target selection, the FPA modifies the predicted direction toward the target and modulates the magnitude of the predicted vector to easily reach the target. The FPA repeats the modification in every prediction time points. To evaluate the improvements of prediction accuracy provided by the feedback, we compared the prediction performances with feedback (FPA and without feedback. We demonstrated that accuracy of movement prediction can be considerably improved by the FPA combining feedback information. The accuracy of the movement prediction was significantly improved for all subjects (P<0.001 and 32.1% of the mean error was reduced. The BMI performance will be improved by combining feedback information and it will promote the development of a practical BMI system.

  1. 76 FR 17145 - Agency Information Collection Activities: Business Transformation-Automated Integrated Operating...

    Science.gov (United States)

    2011-03-28

    ... Transformation--Automated Integrated Operating Environment (IOE), New Information Collection; Comment Request ACTION: 60-Day Notice of Information Collection Under Review: Business Transformation--Integrated... Operating Environment (IOE) to process benefit applications. The IOE will collect information by...

  2. Earth science information: Planning for the integration and use of global change information

    Science.gov (United States)

    Lousma, Jack R.

    1992-01-01

    Activities and accomplishments of the first six months of the Consortium for International Earth Science Information Network (CIESIN's) 1992 technical program have focused on four main missions: (1) the development and implementation of plans for initiation of the Socioeconomic Data and Applications Center (SEDAC) as part of the EOSDIS Program; (2) the pursuit and development of a broad-based global change information cooperative by providing systems analysis and integration between natural science and social science data bases held by numerous federal agencies and other sources; (3) the fostering of scientific research into the human dimensions of global change and providing integration between natural science and social science data and information; and (4) the serving of CIESIN as a gateway for global change data and information distribution through development of the Global Change Research Information Office and other comprehensive knowledge sharing systems.

  3. Impaired Visual Integration in Children with Traumatic Brain Injury: An Observational Study.

    Directory of Open Access Journals (Sweden)

    Marsh Königs

    Full Text Available Axonal injury after traumatic brain injury (TBI may cause impaired sensory integration. We aim to determine the effects of childhood TBI on visual integration in relation to general neurocognitive functioning.We compared children aged 6-13 diagnosed with TBI (n = 103; M = 1.7 years post-injury to children with traumatic control (TC injury (n = 44. Three TBI severity groups were distinguished: mild TBI without risk factors for complicated TBI (mildRF- TBI, n = 22, mild TBI with ≥1 risk factor (mildRF+ TBI, n = 46 or moderate/severe TBI (n = 35. An experimental paradigm measured speed and accuracy of goal-directed behavior depending on: (1 visual identification; (2 visual localization; or (3 both, measuring visual integration. Group-differences on reaction time (RT or accuracy were tracked down to task strategy, visual processing efficiency and extra-decisional processes (e.g. response execution using diffusion model analysis. General neurocognitive functioning was measured by a Wechsler Intelligence Scale short form.The TBI group had poorer accuracy of visual identification and visual integration than the TC group (Ps ≤ .03; ds ≤ -0.40. Analyses differentiating TBI severity revealed that visual identification accuracy was impaired in the moderate/severe TBI group (P = .05, d = -0.50 and that visual integration accuracy was impaired in the mildRF+ TBI group and moderate/severe TBI group (Ps < .02, ds ≤ -0.56. Diffusion model analyses tracked impaired visual integration accuracy down to lower visual integration efficiency in the mildRF+ TBI group and moderate/severe TBI group (Ps < .001, ds ≤ -0.73. Importantly, intelligence impairments observed in the TBI group (P = .009, d = -0.48 were statistically explained by visual integration efficiency (P = .002.Children with mildRF+ TBI or moderate/severe TBI have impaired visual integration efficiency, which may contribute to poorer general neurocognitive functioning.

  4. Spatial smoothing hurts localization but not information: pitfalls for brain mappers.

    Science.gov (United States)

    Kamitani, Yukiyasu; Sawahata, Yasuhito

    2010-02-01

    Op de Beeck (Op de Beeck, H., 2009. Against hyperacuity in brain reading: Spatial smoothing does not hurt multivariate fMRI analyses? Neuroimage) challenges the possibility of extracting information from subvoxel representations via random biases associated with voxel sampling, the hypothesis proposed by Kamitani and Tong (Kamitani, Y., Tong, F., 2005. Decoding the visual and subjective contents of the human brain. Nat. Neurosci. 8, 679-685). Here, we show that his results provide no evidence against the possibility, being consistent with both of the subvoxel and supravoxel representation models. Classification of spatially smoothed fMRI data is not an effective means to probe into information sources for multivoxel decoding, since smoothing does not hurt the information contents of multivoxel patterns. We point out the danger of interpreting multivoxel decoding results based on intuitions guided by the conventional brain mapping paradigm. PMID:19559797

  5. IMIS (Integrated Measurement and Information System) - the German integrated radioactivity information and decision support system

    International Nuclear Information System (INIS)

    IMIS is being set up as part of the German Government's National Response Plan for dealing with the consequences of a large scale radioactive contamination of the environment. The IMIS system has three operational action levels. Level 3 covers the collection of radiological data from state-of-the-art monitoring networks and measurement laboratories. Level 2 involves computerised data processing and quality control, based on standardised procedures for the collection and presentation of measurements. This level also includes the use of transport and dose assessment models. Level 1 includes evaluation of the data, management of the consequences of a given situation, legal enforcement of protective measures and provision of information to the public. In its final form the IMIS system will consist of a total of 75 RISC computers linked together by an efficient packet-switched Wide Area Network. Owing to various demands of the individual users, three different types of RISC computers are used. The system software includes ULTRIX, TCP/IP and X windows. The relational database management system ORACLE is used together with the query language SQL-Plus. Statistical analyses are carried out with the standard product SAS. The geographical information system TERRA provides all the tools necessary for a detailed geographic presentation of the data. (author)

  6. Report of traumatic brain injury information sources among OIF/OEF Veterans undergoing polytrauma evaluations

    OpenAIRE

    Robert J. Spencer, PhD; Adam P. McGuire; Heather A. Tree, PhD; Brigid Waldron-Perrine, PhD; ­Percival H. Pangilinan, MD; Linas A. Bieliauskas, PhD

    2013-01-01

    Servicemembers returning from recent conflicts frequently report symptoms associated with traumatic brain injury (TBI) and are subsequently assessed within the Department of Veterans Affairs (VA) medical system. Information on potential cognitive and behavioral correlates of TBI is available from multiple sources. A Veteran’s symptom presentation may be significantly influenced by the information he or she has received. Despite knowledge of the relationship between information source and symp...

  7. A secure web-based approach for accessing transitional health information for people with traumatic brain injury.

    Science.gov (United States)

    Lemaire, E D; Deforge, D; Marshall, S; Curran, D

    2006-03-01

    A web-based transitional health record was created to provide regional healthcare professionals with ubiquitous access to information on people with brain injuries as they move through the healthcare system. Participants included public, private, and community healthcare organizations/providers in Eastern Ontario (Canada). One hundred and nineteen service providers and 39 brain injury survivors registered over 6 months. Fifty-eight percent received English and 42% received bilingual services (English-French). Public health providers contacted the regional service coordinator more than private providers (52% urban centres, 26% rural service providers, and 22% both areas). Thirty-five percent of contacts were for technical difficulties, 32% registration inquiries, 21% forms and processes, 6% resources, and 6% education. Seventeen technical enquiries required action by technical support personnel: 41% digital certificates, 29% web forms, and 12% log-in. This web-based approach to clinical information sharing provided access to relevant data as clients moved through or re-entered the health system. Improvements include automated digital certificate management, institutional health records system integration, and more referral tracking tools. More sensitive test data could be accessed on-line with increasing consumer/clinician confidence. In addition to a strong technical infrastructure, human resource issues are a major information security component and require continuing attention to ensure a viable on-line information environment. PMID:16469409

  8. Associations between brain white matter integrity and disease severity in obstructive sleep apnea.

    Science.gov (United States)

    Tummala, Sudhakar; Roy, Bhaswati; Park, Bumhee; Kang, Daniel W; Woo, Mary A; Harper, Ronald M; Kumar, Rajesh

    2016-10-01

    Obstructive sleep apnea (OSA) is characterized by recurrent upper airway blockage, with continued diaphragmatic efforts to breathe during sleep. Brain structural changes in OSA appear in various regions, including white matter sites that mediate autonomic, mood, cognitive, and respiratory control. However, the relationships between brain white matter changes and disease severity in OSA are unclear. This study examines associations between an index of tissue integrity, magnetization transfer (MT) ratio values (which show MT between free and proton pools associated with tissue membranes and macromolecules), and disease severity (apnea-hypopnea index [AHI]) in OSA subjects. We collected whole-brain MT imaging data from 19 newly diagnosed, treatment-naïve OSA subjects (50.4 ± 8.6 years of age, 13 males, AHI 39.7 ± 24.3 events/hr], using a 3.0-Tesla MRI scanner. With these data, whole-brain MT ratio maps were calculated, normalized to common space, smoothed, and correlated with AHI scores by using partial correlation analyses (covariates, age and gender; P brain sites in OSA subjects, including superior and inferior frontal regions, ventral medial prefrontal cortex and nearby white matter, midfrontal white matter, insula, cingulate and cingulum bundle, internal and external capsules, caudate nuclei and putamen, basal forebrain, hypothalamus, corpus callosum, and temporal regions, showed principally lateralized negative correlations (P < 0.005). These regions showed significant correlations even with correction for multiple comparisons (cluster-level, family-wise error, P < 0.05), except for a few superior frontal areas. Predominantly negative correlations emerged between local MT values and OSA disease severity, indicating potential usefulness of MT imaging for examining the OSA condition. These findings indicate that OSA severity plays a significant role in white matter injury. © 2016 Wiley Periodicals, Inc. PMID:27315771

  9. Towards brain-activity-controlled information retrieval: Decoding image relevance from MEG signals.

    Science.gov (United States)

    Kauppi, Jukka-Pekka; Kandemir, Melih; Saarinen, Veli-Matti; Hirvenkari, Lotta; Parkkonen, Lauri; Klami, Arto; Hari, Riitta; Kaski, Samuel

    2015-05-15

    We hypothesize that brain activity can be used to control future information retrieval systems. To this end, we conducted a feasibility study on predicting the relevance of visual objects from brain activity. We analyze both magnetoencephalographic (MEG) and gaze signals from nine subjects who were viewing image collages, a subset of which was relevant to a predetermined task. We report three findings: i) the relevance of an image a subject looks at can be decoded from MEG signals with performance significantly better than chance, ii) fusion of gaze-based and MEG-based classifiers significantly improves the prediction performance compared to using either signal alone, and iii) non-linear classification of the MEG signals using Gaussian process classifiers outperforms linear classification. These findings break new ground for building brain-activity-based interactive image retrieval systems, as well as for systems utilizing feedback both from brain activity and eye movements.

  10. Information space models for data integration, and entity resolution

    Science.gov (United States)

    Porter, Reid; Collins, Linn; Powell, James; Rivenburgh, Reid

    2012-06-01

    Geospatial information systems provide a unique frame of reference to bring together a large and diverse set of data from a variety of sources. However, automating this process remains a challenge since: 1) data (particularly from sensors) is error prone and ambiguous, 2) analysis and visualization tools typically expect clean (or exact) data, and 3) it is difficult to describe how different data types and modalities relate to each other. In this paper we describe a data integration approach that can help address some of these challenges. Specifically we propose a light weight ontology for an Information Space Model (ISM). The ISM is designed to support functionality that lies between data catalogues and domain ontologies. Similar to data catalogues, the ISM provides metadata for data discovery across multiple, heterogeneous (often legacy) data sources e.g. maps servers, satellite images, social networks, geospatial blogs. Similar to domain ontologies, the ISM describes the functional relationship between these systems with respect to entities relevant to an application e.g. venues, actors and activities. We suggest a minimal set of ISM objects, and attributes for describing data sources and sensors relevant to data integration. We present a number of statistical relational learning techniques to represent and leverage the combination of deterministic and probabilistic dependencies found within the ISM. We demonstrate how the ISM provides a flexible language for data integration where unknown or ambiguous relationships can be mitigated.

  11. Impact of informal institutions on the development integration processes

    Directory of Open Access Journals (Sweden)

    Sidorova Alexandra, M.

    2015-06-01

    Full Text Available The paper deals with the impact of informal institutions on the definition of the vector integration processes and the development of integration processes in the countries of the Customs Union and Ukraine. The degree of scientific development of the phenomenon in different economic schools is determined in this article. Economic mentality is a basic informal institutions, which determines the degree of effectiveness of the integration processes. This paper examines the nature, characteristics and effects of economic mentality on the economic activities of people. Ethnometrichal method allows to quantify the economic mentality that enables deeper understanding and analysis of the formation and functioning of political and economic system, especially business and management, establishing contacts with other cultures. It was measured modern Belarusian economic mentality based on international methodology Hofstede and compared with the economic mentality of Russia, Ukraine and Kazakhstan. With the help of cluster analysis congruence economic mentality of the Customs Union and Ukraine was determined. Economic mentality of these countries was also compared with the economic mentality of other countries in order to identify the main types of economic culture.

  12. A comment on Farwell : brain fingerprinting: a comprehensive tutorial review of detection of concealed information with event-related brain potentials

    NARCIS (Netherlands)

    E.H. Meijer; G. Ben-Shakhar; B. Verschuere; E. Donchin

    2013-01-01

    In a recent issue of Cognitive Neurodynamics Farwell (Cogn Neurodyn 6:115-154, 2012) published a comprehensive tutorial review of the use of Event Related Brain Potentials (ERP) in the detection of concealed information. Farwell’s review covered much of his own work employing his ‘‘brain fingerprint

  13. Modeling community integration in workers with delayed recovery from mild traumatic brain injury

    DEFF Research Database (Denmark)

    Mollayeva, T.; Shapiro, C. M.; Mollayeva, S.;

    2015-01-01

    assessments, and insurers' referral files. Community Integration Questionnaire (CIQ) scores were compared using analysis of variance or Spearman's correlation tests. Stepwise multivariable linear regression models were used to evaluate the associations with CI. Results: Ninety-four workers with mTBI (45......Background: Delayed recovery in persons after mild traumatic brain injury (mTBI) is poorly understood. Community integration (CI) is endorsed by persons with neurological disorders as an important outcome. We aimed to describe CI and its associated factors in insured Ontario workers with delayed...... recovery following mTBI. Methods: A cross-sectional study of insured workers in the chronic phase following mTBI was performed at a rehabilitation hospital in Ontario, Canada. Sociodemographic, occupational, injury-related, clinical, and claim-related data were collected from self-reports, medical...

  14. An integrative behavioral model of information security policy compliance.

    Science.gov (United States)

    Kim, Sang Hoon; Yang, Kyung Hoon; Park, Sunyoung

    2014-01-01

    The authors found the behavioral factors that influence the organization members' compliance with the information security policy in organizations on the basis of neutralization theory, Theory of planned behavior, and protection motivation theory. Depending on the theory of planned behavior, members' attitudes towards compliance, as well as normative belief and self-efficacy, were believed to determine the intention to comply with the information security policy. Neutralization theory, a prominent theory in criminology, could be expected to provide the explanation for information system security policy violations. Based on the protection motivation theory, it was inferred that the expected efficacy could have an impact on intentions of compliance. By the above logical reasoning, the integrative behavioral model and eight hypotheses could be derived. Data were collected by conducting a survey; 194 out of 207 questionnaires were available. The test of the causal model was conducted by PLS. The reliability, validity, and model fit were found to be statistically significant. The results of the hypotheses tests showed that seven of the eight hypotheses were acceptable. The theoretical implications of this study are as follows: (1) the study is expected to play a role of the baseline for future research about organization members' compliance with the information security policy, (2) the study attempted an interdisciplinary approach by combining psychology and information system security research, and (3) the study suggested concrete operational definitions of influencing factors for information security policy compliance through a comprehensive theoretical review. Also, the study has some practical implications. First, it can provide the guideline to support the successful execution of the strategic establishment for the implement of information system security policies in organizations. Second, it proves that the need of education and training programs suppressing

  15. An Integrative Behavioral Model of Information Security Policy Compliance

    Directory of Open Access Journals (Sweden)

    Sang Hoon Kim

    2014-01-01

    Full Text Available The authors found the behavioral factors that influence the organization members’ compliance with the information security policy in organizations on the basis of neutralization theory, Theory of planned behavior, and protection motivation theory. Depending on the theory of planned behavior, members’ attitudes towards compliance, as well as normative belief and self-efficacy, were believed to determine the intention to comply with the information security policy. Neutralization theory, a prominent theory in criminology, could be expected to provide the explanation for information system security policy violations. Based on the protection motivation theory, it was inferred that the expected efficacy could have an impact on intentions of compliance. By the above logical reasoning, the integrative behavioral model and eight hypotheses could be derived. Data were collected by conducting a survey; 194 out of 207 questionnaires were available. The test of the causal model was conducted by PLS. The reliability, validity, and model fit were found to be statistically significant. The results of the hypotheses tests showed that seven of the eight hypotheses were acceptable. The theoretical implications of this study are as follows: (1 the study is expected to play a role of the baseline for future research about organization members’ compliance with the information security policy, (2 the study attempted an interdisciplinary approach by combining psychology and information system security research, and (3 the study suggested concrete operational definitions of influencing factors for information security policy compliance through a comprehensive theoretical review. Also, the study has some practical implications. First, it can provide the guideline to support the successful execution of the strategic establishment for the implement of information system security policies in organizations. Second, it proves that the need of education and training

  16. Integrated information system for analysis of nuclear power plants

    International Nuclear Information System (INIS)

    Performing complicated engineering analyses of a nuclear power plant requires storage and manipulation of a large amount of information, both data and knowledge. This information is characterized by its multidisciplinary nature, complexity, and diversity. The problems caused by inefficient and lengthy manual operations involving the data flow management within the frame-work of the safety-related analysis of a power plant can be solved by applying the computer aided engineering principles. These principles are the basis of the design of an integrated information storage system (IRIS). The basic idea is to create a computerized environment, which includes both database and functional capabilities. Consideration and analysis of the data types and required data manipulation capabilities as well as operational requirements, resulted in the choice of an object-oriented data-base management system (OODBMS) as a development platform for solving the software engineering problems. Several advantages of OODBMSs over conventional relations database systems were found of crucial importance, especially providing the necessary flexibility for different data types and extensibility potential. A detailed design of a data model is produced for the plant technical data and for the storage of analysis results. The overall system architecture was designed to assure the feasibility of integrating database capabilities with procedures and functions written in conventional algorithmic programming languages

  17. A Frame Based Architecture for Information Integration in CIMS

    Institute of Scientific and Technical Information of China (English)

    吴信东

    1992-01-01

    This paper foumulates and architecture for information integration in computer integrated manufacturing systems(CIMS).The architecture takes the frame structure as single link among applications and between applications and physical storage.All the advantages in form features based intgrated systems can be found in the frame-based architecture as the frame structrue here takes from features as its primitives.But other advantage,e.g.,default knowledge and dynamic domain knowledge can be attached to frames and the frame structure is easy to be changed and extended,which cannot be found ing form reatures based systems,can also be showed in frame based architectures as the frame structure is a typical knowledge representation scheme in artificial intelligence and many researches and interests have put on it.

  18. Matching spatial with ontological brain regions using Java tools for visualization, database access, and integrated data analysis.

    NARCIS (Netherlands)

    Bezgin, G.; Reid, A.T.; Schubert, D.; Kotter, R.

    2009-01-01

    Brain atlases are widely used in experimental neuroscience as tools for locating and targeting specific brain structures. Delineated structures in a given atlas, however, are often difficult to interpret and to interface with database systems that supply additional information using hierarchically o

  19. Restructuring consciousness -the psychedelic state in light of integrated information theory.

    Science.gov (United States)

    Gallimore, Andrew R

    2015-01-01

    The psychological state elicited by the classic psychedelics drugs, such as LSD and psilocybin, is one of the most fascinating and yet least understood states of consciousness. However, with the advent of modern functional neuroimaging techniques, the effect of these drugs on neural activity is now being revealed, although many of the varied phenomenological features of the psychedelic state remain challenging to explain. Integrated information theory (IIT) is one of the foremost contemporary theories of consciousness, providing a mathematical formalization of both the quantity and quality of conscious experience. This theory can be applied to all known states of consciousness, including the psychedelic state. Using the results of functional neuroimaging data on the psychedelic state, the effects of psychedelic drugs on both the level and structure of consciousness can be explained in terms of the conceptual framework of IIT. This new IIT-based model of the psychedelic state provides an explanation for many of its phenomenological features, including unconstrained cognition, alterations in the structure and meaning of concepts and a sense of expanded awareness. This model also suggests that whilst cognitive flexibility, creativity, and imagination are enhanced during the psychedelic state, this occurs at the expense of cause-effect information, as well as degrading the brain's ability to organize, categorize, and differentiate the constituents of conscious experience. Furthermore, the model generates specific predictions that can be tested using a combination of functional imaging techniques, as has been applied to the study of levels of consciousness during anesthesia and following brain injury.

  20. Integrating robotic action with biologic perception: A brain-machine symbiosis theory

    Science.gov (United States)

    Mahmoudi, Babak

    In patients with motor disability the natural cyclic flow of information between the brain and external environment is disrupted by their limb impairment. Brain-Machine Interfaces (BMIs) aim to provide new communication channels between the brain and environment by direct translation of brain's internal states into actions. For enabling the user in a wide range of daily life activities, the challenge is designing neural decoders that autonomously adapt to different tasks, environments, and to changes in the pattern of neural activity. In this dissertation, a novel decoding framework for BMIs is developed in which a computational agent autonomously learns how to translate neural states into action based on maximization of a measure of shared goal between user and the agent. Since the agent and brain share the same goal, a symbiotic relationship between them will evolve therefore this decoding paradigm is called a Brain-Machine Symbiosis (BMS) framework. A decoding agent was implemented within the BMS framework based on the Actor-Critic method of Reinforcement Learning. The rule of the Actor as a neural decoder was to find mapping between the neural representation of motor states in the primary motor cortex (MI) and robot actions in order to solve reaching tasks. The Actor learned the optimal control policy using an evaluative feedback that was estimated by the Critic directly from the user's neural activity of the Nucleus Accumbens (NAcc). Through a series of computational neuroscience studies in a cohort of rats it was demonstrated that NAcc could provide a useful evaluative feedback by predicting the increase or decrease in the probability of earning reward based on the environmental conditions. Using a closed-loop BMI simulator it was demonstrated the Actor-Critic decoding architecture was able to adapt to different tasks as well as changes in the pattern of neural activity. The custom design of a dual micro-wire array enabled simultaneous implantation of MI and

  1. System architecture and information model for integrated access to distributed biomedical information

    Science.gov (United States)

    Kim, Dongkyu; Alaoui, Adil; Levine, Betty; Leondaridis, Leonidas; Shields, Peter; Byers, Steve; Cleary, Kevin

    2009-02-01

    The current trend towards systems medicine will rely heavily on computational and bioinformatics capabilities to collect, integrate, and analyze massive amounts of data from disparate sources. The objective is to use this information to make medical decisions that improve patient care. At Georgetown University Medical Center, we are developing an informatics capability to integrate several research and clinical databases. Our long term goal is to provide researchers at Georgetown's Lombardi Comprehensive Cancer Center better access to aggregated molecular and clinical information facilitating the investigation of new hypotheses that impact patient care. We also recognize the need for data mining tools and intelligent agents to help researchers in these efforts. This paper describes our initial work to create a flexible platform for researchers and physicians that provides access to information sources including clinical records, medical images, genomic, epigenomic, proteomic and metabolomic data. This paper describes the data sources selected for this pilot project and possible approaches to integrating these databases. We present the different database integration models that we considered. We conclude by outlining the proposed Information Model for the project.

  2. Integrating Data-Mining Support into a Brain-Image Database Using Open-Source Components

    International Nuclear Information System (INIS)

    Purpose: Previously, we described our implementation of a brain-image database (braid), based on the proprietary object-relational database-management system (ORDBMS). In conjunction with our collaborators, we have used this database to manage and analyze image and clinical data from what we call image-based clinical trials (IBCTs). Herein we describe the results of redesigning braid using open-source components, and integrating support for mining image and clinical data from braids user interface. Material and Methods: We re-designed and re-implemented BRAID using open-source components, including PostgreSQL, gcc, and PHP. We integrated data-mining algorithms into braid, based on PL/R, a PostgreSQL package to support efficient communication between R and PostgreSQL. Results: We present a sample clinical study to demonstrate how clinicians can perform queries for visualization, statistical analysis, and data mining, using a web-based interface. Conclusion: We have developed a database system with data-mining capabilities for managing, querying, analyzing and visualizing brain-MR images. We implemented this system using open-source components, with the express goal of wide dissemination throughout the neuroimaging research community. (authors)

  3. Oligodendrocyte precursor cells support blood-brain barrier integrity via TGF-β signaling.

    Directory of Open Access Journals (Sweden)

    Ji Hae Seo

    Full Text Available Trophic coupling between cerebral endothelium and their neighboring cells is required for the development and maintenance of blood-brain barrier (BBB function. Here we report that oligodendrocyte precursor cells (OPCs secrete soluble factor TGF-β1 to support BBB integrity. Firstly, we prepared conditioned media from OPC cultures and added them to cerebral endothelial cultures. Our pharmacological experiments showed that OPC-conditioned media increased expressions of tight-junction proteins and decreased in vitro BBB permeability by activating TGB-β-receptor-MEK/ERK signaling pathway. Secondly, our immuno-electron microscopic observation revealed that in neonatal mouse brains, OPCs attach to cerebral endothelial cells via basal lamina. And finally, we developed a novel transgenic mouse line that TGF-β1 is knocked down specifically in OPCs. Neonates of these OPC-specific TGF-β1 deficient mice (OPC-specific TGF-β1 partial KO mice: PdgfraCre/Tgfb1flox/wt mice or OPC-specific TGF-β1 total KO mice: PdgfraCre/Tgfb1flox/flox mice exhibited cerebral hemorrhage and loss of BBB function. Taken together, our current study demonstrates that OPCs increase BBB tightness by upregulating tight junction proteins via TGF-β signaling. Although astrocytes and pericytes are well-known regulators of BBB maturation and maintenance, these findings indicate that OPCs also play a pivotal role in promoting BBB integrity.

  4. Information Integration from Semantically Heterogeneous Biological Data Sources.

    Science.gov (United States)

    Caragea, Doina; Bao, Jie; Pathak, Jyotishman; Silvescu, Adrian; Andorf, Carson; Dobbs, Drena; Honavar, Vasant

    2005-08-26

    We present the first prototype of INDUS (Intelligent Data Understanding System), a federated, query-centric system for information integration and knowledge acquisition from distributed, semantically heterogeneous data sources that can be viewed (conceptually) as tables. INDUS employs ontologies and inter-ontology mappings, to enable a user to view a collection of such data sources (regardless of location, internal structure and query interfaces) as though they were a collection of tables structured according to an ontology supplied by the user. This allows INDUS to answer user queries against distributed, semantically heterogeneous data sources without the need for a centralized data warehouse or a common global ontology. PMID:20802821

  5. Project Integration Architecture: Inter-Application Propagation of Information

    Science.gov (United States)

    Jones, William Henry

    2005-01-01

    A principal goal of the Project Integration Architecture (PIA) is to facilitate the meaningful inter-application transfer of application-value-added information. Such exchanging applications may be largely unrelated to each other except through their applicability to an overall project; however, the PIA effort recognizes as fundamental the need to make such applications cooperate despite wide disparaties either in the fidelity of the analyses carried out, or even the disciplines of the analysis. This paper discusses the approach and techniques applied and anticipated by the PIA project in treating this need.

  6. Study on Service Level Management in Integrated Satellite Information Network

    Institute of Scientific and Technical Information of China (English)

    SHANG Rui-qiang; ZHAO Jian-li; WANG Guang-xing

    2005-01-01

    Integrated Satellite Information Network (ISIN) includes those nodes in space and those on ground. It is the way to realize the fusion of satellite communication and traditional network technology. A satellite network management system based on Multiplex Network Management Protocol (MNMP) has accomplished traditional management, such as configuration, performance and fault management. An architecture of Service Level Management (SLM) in ISIN is proposed, and a service topology management and Service Level Agreement (SLA) are deeply researched. At last, service security and fault management are briefly discussed, and a simulation system is accomplished.

  7. Associations between insulin action and integrity of brain microstructure differ with familial longevity and with age

    Directory of Open Access Journals (Sweden)

    Abimbola A. Akintola

    2015-05-01

    Full Text Available Impaired glucose metabolism and type 2 diabetes have been associated with cognitive decline, dementia, and with structural and functional brain features. However, it is unclear whether these associations differ in individuals that differ in familial longevity or age. Here, we investigated the association between parameters of glucose metabolism and microstructural brain integrity in offspring of long-lived families (offspring and controls; and age categories thereof. From the Leiden Longevity Study, 132 participants underwent oral glucose tolerance test to assess glycemia (fasted glucose and glucose area-under-the-curve (AUC, insulin resistance (fasted insulin, AUCinsulin, and homeostatic model assessment of insulin resistance (HOMA-IR, and pancreatic Beta cell secretory capacity (insulinogenic index. 3Tesla MRI and Magnetization Transfer (MT imaging MT-ratio peak-height was used to quantify differences in microstructural brain parenchymal tissue homogeneity that remain invisible on conventional MRI. Analyses were performed in offspring and age-matched controls, with and without stratification for age.In the full offspring group only, reduced peak-height in grey and white matter was inversely associated with AUCinsulin, fasted insulin, HOMA-IR and insulinogenic-index (all p65 years: in younger controls, significantly stronger inverse associations were observed between peak-height and fasted glucose, AUCglucose, fasted insulin, AUCinsulin and HOMA-IR in grey matter; and for AUCglucose, fasted insulin and HOMA-IR in white matter (all P-interaction<0.05. Although the strength of the associations tended to attenuate with age in the offspring group, the difference between age groups was not statistically significant. Thus, associations between impaired insulin action and reduced microstructural brain parenchymal tissue homogeneity were stronger in offspring compared to controls, and seemed to diminish with age.

  8. Research on information fusion for engineering system integrated health management

    Science.gov (United States)

    Gao, Zhanbao; Li, Xingshan; Sun, Cong; Liu, Qi

    2006-11-01

    Integrated Health Management technology is the emerging paradigm in system supervision and maintenance area, and it is the key to achieving true condition-based maintenance. But this task is complicated by the extremely large amount of the data available, the existence of uncertainties, and interactive engineering system operational conditions. Therefore, it is reasonable to research the health information fusion technology to achieve better performance and a higher level of autonomy for IHM system. This paper analyses the requirements of the information fusion in an IHM system, describes the fusion application areas, proposes the Health Sensing Unit (HSU) concept, and designs the distributed hierarchical fusion architecture. Using the confidence distance matrix as the measure of HSU's performance, this paper proposes a fusion algorithm to fuse multiple HSUs' output, and figure out the system health index according to the maximum likelihood principle. The simulation result yields conclusive evidence that fusion can be very valuable in the IHM technology for the system supervision and maintenance.

  9. Developing Integrated Decommissioning Information Management System (IDIMS) of nuclear facilities

    International Nuclear Information System (INIS)

    In Taiwan, the Taiwan Research Reactor (TRR) was shut down in January 1988, and a few nuclear facilities were accompanied to stop operation within Institute of Nuclear Energy Research (INER). For public health and safety reasons, INER dismantled step by step its expired nuclear facilities. Integrated Decommissioning Information Management System (IDIMS) was developed to ensure safety of dismantling and to record all activity data during the decommissioning project. These recorded activity data range from data of planning, licensing, post-operation to those of radioactive waste management and storage. In addition, IDIMS was expected to preserve decommissioning knowledge using information technology from practical data and problem solving. It also is anticipated that IDIMS will be an important knowledge repository and design base for decommissioning projects of nuclear power plants in Taiwan. (author)

  10. Information-geometric measures estimate neural interactions during oscillatory brain states

    OpenAIRE

    Jean-Marc Fellous; Masami Tatsuno

    2014-01-01

    The characterization of functional network structures among multiple neurons is essential to understanding neural information processing. Information geometry (IG), a theory developed for investigating a space of probability distributions has recently been applied to spike-train analysis and has provided robust estimations of neural interactions. Although neural firing in the equilibrium state is often assumed in these studies, in reality, neural activity is non-stationary. The brain exhibits...

  11. Brain Fingerprinting

    Directory of Open Access Journals (Sweden)

    Ravi Kumar

    2012-12-01

    Full Text Available Brain Fingerprinting is a scientific technique to determine whether or not specific information is stored in an individual's brain by measuring a electrical brain wave response to Word, phrases, or picture that are presented on computer screen. Brain Fingerprinting is a controversial forensic science technique that uses electroencephalography (EEG to determine whether specific information is stored in a subject's brain.

  12. Brain Fingerprinting

    Directory of Open Access Journals (Sweden)

    ravi kumar

    2012-12-01

    Full Text Available Brain Fingerprinting is a scientific technique to determine whether or not specific information is stored in an individual's brain by measuring a electrical brain wave response to Word, phrases, or picture that are presented on computer screen. Brain Fingerprinting is a controversial forensic science technique that uses electroencephalograph y (EEG to determine whether specific information is stored in a subject's brain

  13. Integrative understanding of emergent brain properties, quantum brain hypotheses and connectome alterations in dementia are key challenges to conquer Alzheimer's disease

    Directory of Open Access Journals (Sweden)

    Rodrigo O Kuljiš

    2010-08-01

    Full Text Available The biological substrate for cognition remains a challenge as much as defining this function of living beings. Here, we examine some of the challenges to understand normal and disordered cognition in humans. We use aspects of Alzheimer’s disease and related disorders to illustrate how the wealth of information at many conceptually separate, even decoupled, physical scales — in particular at the Molecular Neuroscience versus Systems Neuroscience/Neuropsychology levels — presents a challenge in terms of true interdisciplinary integration towards a coherent understanding. These unresolved dilemmas include critically the as yet untested Quantum Brain hypothesis, and the embryonic attempts to develop and define the so-called Connectome in humans and in non-human models of disease. To mitigate these challenges, we propose a scheme incorporating the vast array of scales of the space and time (space-time manifold from at least the subatomic through cognitive-behavioral dimensions of inquiry, to achieve a new understanding of both normal and disordered cognition, that is essential for a new era of progress in the Generative Sciences and its application to translational efforts for disease prevention and treatment.

  14. An integrated healthcare enterprise information portal and healthcare information system framework.

    Science.gov (United States)

    Hsieh, S L; Lai, Feipei; Cheng, P H; Chen, J L; Lee, H H; Tsai, W N; Weng, Y C; Hsieh, S H; Hsu, K P; Ko, L F; Yang, T H; Chen, C H

    2006-01-01

    The paper presents an integrated, distributed Healthcare Enterprise Information Portal (HEIP) and Hospital Information Systems (HIS) framework over wireless/wired infrastructure at National Taiwan University Hospital (NTUH). A single sign-on solution for the hospital customer relationship management (CRM) in HEIP has been established. The outcomes of the newly developed Outpatient Information Systems (OIS) in HIS are discussed. The future HEIP blueprints with CRM oriented features: e-Learning, Remote Consultation and Diagnosis (RCD), as well as on-Line Vaccination Services are addressed. Finally, the integrated HEIP and HIS architectures based on the middleware technologies are proposed along with the feasible approaches. The preliminary performance of multi-media, time-based data exchanges over the wireless HEIP side is collected to evaluate the efficiency of the architecture. PMID:17946647

  15. Characterizing functional integrity: intraindividual brain signal variability predicts memory performance in patients with medial temporal lobe epilepsy.

    Science.gov (United States)

    Protzner, Andrea B; Kovacevic, Natasa; Cohn, Melanie; McAndrews, Mary Pat

    2013-06-01

    Computational modeling suggests that variability in brain signals provides important information regarding the system's capacity to adopt different network configurations that may promote optimal responding to stimuli. Although there is limited empirical work on this construct, a recent study indicates that age-related decreases in variability across the adult lifespan correlate with less efficient and less accurate performance. Here, we extend this construct to the assessment of cerebral integrity by comparing fMRI BOLD variability and fMRI BOLD amplitude in their ability to account for differences in functional capacity in patients with focal unilateral medial temporal dysfunction. We were specifically interested in whether either of these BOLD measures could identify a link between the affected medial temporal region and memory performance (as measured by a clinical test of verbal memory retention). Using partial least-squares analyses, we found that variability in a set of regions including the left hippocampus predicted verbal retention and, furthermore, this relationship was similar across a range of cognitive tasks measured during scanning (i.e., the same pattern was seen in fixation, autobiographical recall, and word generation). In contrast, signal amplitude in the hippocampus did not predict memory performance, even for a task that reliably activates the medial temporal lobes (i.e., autobiographical recall). These findings provide a powerful validation of the concept that variability in brain signals reflects functional integrity. Furthermore, this measure can be characterized as a robust biomarker in this clinical setting because it reveals the same pattern regardless of cognitive challenge or task engagement during scanning.

  16. The integration of cartographic information into a content management system

    Science.gov (United States)

    Furnari, Mario M.; Noviello, Carmine

    2006-01-01

    A corporate information system needs to be as accessible as library content, which implies to organize the content in a logical structure, categorizing it, and using the categories to add metadata to the information. Content Management System (CMS) are an emerging kind software component that manages content, usually making a large use of the web technologies, whose main goals are to allow easy creation, publishing and retrieval of content to fit business needs. The focus of this paper is to describe how we integrated "map" metaphor into a CMS. Where maps are symbolic information and rely on the use of a graphic sign language. A characteristic feature of maps is that their design has traditionally been constrained by the need to create one model of reality for a variety of purposes. The map's primary role as a communication medium involves the application of processes such as selection, classification, displacement, symbolization and graphic exaggeration. A model of the infrastructure is presented and the current prototype of the model is briefly discussed together the currently deployed environment for the cultural heritage information dissemination.

  17. Ensemble-type numerical uncertainty information from single model integrations

    Energy Technology Data Exchange (ETDEWEB)

    Rauser, Florian, E-mail: florian.rauser@mpimet.mpg.de; Marotzke, Jochem; Korn, Peter

    2015-07-01

    We suggest an algorithm that quantifies the discretization error of time-dependent physical quantities of interest (goals) for numerical models of geophysical fluid dynamics. The goal discretization error is estimated using a sum of weighted local discretization errors. The key feature of our algorithm is that these local discretization errors are interpreted as realizations of a random process. The random process is determined by the model and the flow state. From a class of local error random processes we select a suitable specific random process by integrating the model over a short time interval at different resolutions. The weights of the influences of the local discretization errors on the goal are modeled as goal sensitivities, which are calculated via automatic differentiation. The integration of the weighted realizations of local error random processes yields a posterior ensemble of goal approximations from a single run of the numerical model. From the posterior ensemble we derive the uncertainty information of the goal discretization error. This algorithm bypasses the requirement of detailed knowledge about the models discretization to generate numerical error estimates. The algorithm is evaluated for the spherical shallow-water equations. For two standard test cases we successfully estimate the error of regional potential energy, track its evolution, and compare it to standard ensemble techniques. The posterior ensemble shares linear-error-growth properties with ensembles of multiple model integrations when comparably perturbed. The posterior ensemble numerical error estimates are of comparable size as those of a stochastic physics ensemble.

  18. Traumatic Brain Injury: General Information. Fact Sheet Number 18 = Lesion Cerebral: Informacion General. Fact Sheet Number 18.

    Science.gov (United States)

    National Information Center for Children and Youth with Disabilities, Washington, DC.

    This fact sheet offers general information about traumatic brain injury. Information includes a definition, incidence, individual characteristics, and educational implications. The fact sheet notes that the designation of traumatic brain injury as a separate category of disability signals that schools should provide children and youth with access…

  19. Towards a Unified Approach to Information Integration - A review paper on data/information fusion

    Energy Technology Data Exchange (ETDEWEB)

    Whitney, Paul D.; Posse, Christian; Lei, Xingye C.

    2005-10-14

    Information or data fusion of data from different sources are ubiquitous in many applications, from epidemiology, medical, biological, political, and intelligence to military applications. Data fusion involves integration of spectral, imaging, text, and many other sensor data. For example, in epidemiology, information is often obtained based on many studies conducted by different researchers at different regions with different protocols. In the medical field, the diagnosis of a disease is often based on imaging (MRI, X-Ray, CT), clinical examination, and lab results. In the biological field, information is obtained based on studies conducted on many different species. In military field, information is obtained based on data from radar sensors, text messages, chemical biological sensor, acoustic sensor, optical warning and many other sources. Many methodologies are used in the data integration process, from classical, Bayesian, to evidence based expert systems. The implementation of the data integration ranges from pure software design to a mixture of software and hardware. In this review we summarize the methodologies and implementations of data fusion process, and illustrate in more detail the methodologies involved in three examples. We propose a unified multi-stage and multi-path mapping approach to the data fusion process, and point out future prospects and challenges.

  20. A DICOM-RT Based ePR radiation therapy information system for decision-support of brain tumor patients

    Science.gov (United States)

    Liu, B. J.; Law, M.; Huang, H. K.; Zee, C. S.; Chan, L.

    2006-03-01

    The need for comprehensive clinical image data and relevant information in image-guided Radiation Therapy (RT) is becoming steadily apparent. Multiple standalone systems utilizing the most technological advancements in imaging, therapeutic radiation, and computerized treatment planning systems acquire key data during the RT treatment course of a patient. One example are patients treated for brain tumors of greater sizes and irregular shapes that utilize state-of-the-art RT technology to deliver pinpoint accurate radiation doses. Various treatment options are available to the patient from Radiation Therapy to Stereotactic Radiosurgery and utilize different RT modalities. The disparate and complex data generated by the RT modalities along with related data scattered throughout the RT department in RT Information/Management systems, Record & Verify systems, and Treatment Planning Systems (TPS) compromise an efficient clinical workflow since the data crucial for a clinical decision may be time-consuming to retrieve, temporarily missing, or even lost. To address these shortcomings, the ACR-NEMA Standards Committee extended its DICOM (Digital Imaging & Communications in Medicine) Standard from Radiology to RT by ratifying seven DICOM RT objects starting in 1997. However, they are rarely used by the RT community in daily clinical operations. In the past, the research focus of an RT department has primarily been developing new protocols and devices to improve treatment process and outcomes of cancer patients with minimal effort dedicated to integration of imaging and information systems. By combining our past experience in medical imaging informatics research, DICOM-RT expertise, and system integration, our research involves using a brain tumor case model to show proof-of-concept that a DICOM-Standard electronic patient record (ePR) system can be developed as a foundation to perform medical imaging informatics research in developing decision-support tools and knowledge

  1. 48 CFR 9.104-6 - Federal Awardee Performance and Integrity Information System.

    Science.gov (United States)

    2010-10-01

    ... Performance and Integrity Information System. 9.104-6 Section 9.104-6 Federal Acquisition Regulations System... Contractors 9.104-6 Federal Awardee Performance and Integrity Information System. (a) Before awarding a... Federal Awardee Performance and Integrity Information System (FAPIIS), (available at www.ppirs.gov,...

  2. Telematics and smart cards in integrated health information system.

    Science.gov (United States)

    Sicurello, F; Nicolosi, A

    1997-01-01

    Telematics and information technology are the base on which it will be possible to build an integrated health information system to support population and improve their quality of life. This system should be based on record linkage of all data based on the interactions of the patients with the health structures, such as general practitioners, specialists, health institutes and hospitals, pharmacies, etc. The record linkage can provide the connection and integration of various records, thanks to the use of telematic technology (either urban or geographical local networks, such as the Internet) and electronic data cards. Particular emphasis should be placed on the introduction of smart cards, such as portable health cards, which will contain a standardized data set and will be sufficient to access different databases found in various health services. The inter-operability of the social-health records (including multimedia types) and the smart cards (which are one of the most important prerequisites for the homogenization and wide diffusion of these cards at an European level) should be strongly taken into consideration. In this framework a project is going to be developed aiming towards the integration of various data bases distributed territorially, from the reading of the software and the updating of the smart cards to the complete management of the patients' evaluation records, to the quality of the services offered and to the health planning. The applications developed will support epidemiological investigation software and data analysis. The inter-connection of all the databases of the various structures involved will take place through a coordination center, the most important system of which we will call "record linkage" or "integrated database". Smart cards will be distributed to a sample group of possible users and the necessary smart card management tools will be installed in all the structures involved. All the final users (the patients) in the whole

  3. Defense Nuclear Material Stewardship Integrated Inventory Information Management System (IIIMS).

    Energy Technology Data Exchange (ETDEWEB)

    Aas, Christopher A.; Lenhart, James E.; Bray, Olin H.; Witcher, Christina Jenkin

    2004-11-01

    Sandia National Laboratories was tasked with developing the Defense Nuclear Material Stewardship Integrated Inventory Information Management System (IIIMS) with the sponsorship of NA-125.3 and the concurrence of DOE/NNSA field and area offices. The purpose of IIIMS was to modernize nuclear materials management information systems at the enterprise level. Projects over the course of several years attempted to spearhead this modernization. The scope of IIIMS was broken into broad enterprise-oriented materials management and materials forecasting. The IIIMS prototype was developed to allow multiple participating user groups to explore nuclear material requirements and needs in detail. The purpose of material forecasting was to determine nuclear material availability over a 10 to 15 year period in light of the dynamic nature of nuclear materials management. Formal DOE Directives (requirements) were needed to direct IIIMS efforts but were never issued and the project has been halted. When restarted, duplicating or re-engineering the activities from 1999 to 2003 is unnecessary, and in fact future initiatives can build on previous work. IIIMS requirements should be structured to provide high confidence that discrepancies are detected, and classified information is not divulged. Enterprise-wide materials management systems maintained by the military can be used as overall models to base IIIMS implementation concepts upon.

  4. How chimpanzees integrate sensory information to select figs.

    Science.gov (United States)

    Dominy, Nathaniel J; Yeakel, Justin D; Bhat, Uttam; Ramsden, Lawrence; Wrangham, Richard W; Lucas, Peter W

    2016-06-01

    Figs are keystone resources that sustain chimpanzees when preferred fruits are scarce. Many figs retain a green(ish) colour throughout development, a pattern that causes chimpanzees to evaluate edibility on the basis of achromatic accessory cues. Such behaviour is conspicuous because it entails a succession of discrete sensory assessments, including the deliberate palpation of individual figs, a task that requires advanced visuomotor control. These actions are strongly suggestive of domain-specific information processing and decision-making, and they call attention to a potential selective force on the origin of advanced manual prehension and digital dexterity during primate evolution. To explore this concept, we report on the foraging behaviours of chimpanzees and the spectral, chemical and mechanical properties of figs, with cutting tests revealing ease of fracture in the mouth. By integrating the ability of different sensory cues to predict fructose content in a Bayesian updating framework, we quantified the amount of information gained when a chimpanzee successively observes, palpates and bites the green figs of Ficus sansibarica. We found that the cue eliciting ingestion was not colour or size, but fig mechanics (including toughness estimates from wedge tests), which relays higher-quality information on fructose concentrations than colour vision. This result explains why chimpanzees evaluate green figs by palpation and dental incision, actions that could explain the adaptive origins of advanced manual prehension. PMID:27274803

  5. An Integrated Test Design for Information Processing System of MMIS

    Energy Technology Data Exchange (ETDEWEB)

    Park, Jaekwan; Seo, Sangmun; Suh, Yongsuk; Park, Cheol [Korea Atomic Energy Research Institute, Daejeon (Korea, Republic of)

    2015-05-15

    Power plant or research reactor facility is furnished with Information Processing System (IPS) conducting the role of information layer between control layer and operation layer of MMIS. The IPS is connected with other control systems, monitoring systems, and protection systems. The system collects thousands of interface signals through the Ethernet-based connections. Test cases for the IPS in the MMIS integration test (i.e., factory acceptance test) should include functional tests of the system interface, alarm processing, data management, network management, and primary information monitoring. This paper proposes an efficient method planning the test procedure of the system by considering the test coverage in the final test activity, factory acceptance test (FAT). The IPS system has thousands of signal interfaces and the interface test using real signals can be only conducted in the MMIS FAT. This paper recommends that the interface test is designed as full interface test and the test steps are arranged based on the signal. It helps that data processing, recording, and display functions are easily verified. There was a FAT for the IPS of MMIS for a research reactor at Feb. 2015. We applied our test method to the FAT. As result, we found tens of abnormal results in the test and corrected all the faults.

  6. A Critical Examination of Mild Traumatic Brain Injury Management Information Distributed to Parents.

    Science.gov (United States)

    Boddé, Tamar Roos Annemarie; Scheinberg, Adam; McKinlay, Audrey

    2015-01-01

    Considerable confusion surrounds pediatric mild traumatic brain injury (mTBI) and its management. This study provides a comparison between mTBI management pamphlets distributed by Australasian hospitals and the Centers for Disease Control and Prevention (CDC) gold standard. Twenty-seven different pamphlets were collected from 96 hospitals in Australia and New Zealand and were assessed for readability, compliance with nine CDC criteria, and inclusion of confusing or incorrect information. None of the pamphlets completely complied with the CDC criteria and all included incorrect information. Findings demonstrate that mTBI management information in Australasia needs urgent revision, and evaluation in other countries is strongly advised.

  7. Toward an autonomous brain machine interface: integrating sensorimotor reward modulation and reinforcement learning.

    Science.gov (United States)

    Marsh, Brandi T; Tarigoppula, Venkata S Aditya; Chen, Chen; Francis, Joseph T

    2015-05-13

    For decades, neurophysiologists have worked on elucidating the function of the cortical sensorimotor control system from the standpoint of kinematics or dynamics. Recently, computational neuroscientists have developed models that can emulate changes seen in the primary motor cortex during learning. However, these simulations rely on the existence of a reward-like signal in the primary sensorimotor cortex. Reward modulation of the primary sensorimotor cortex has yet to be characterized at the level of neural units. Here we demonstrate that single units/multiunits and local field potentials in the primary motor (M1) cortex of nonhuman primates (Macaca radiata) are modulated by reward expectation during reaching movements and that this modulation is present even while subjects passively view cursor motions that are predictive of either reward or nonreward. After establishing this reward modulation, we set out to determine whether we could correctly classify rewarding versus nonrewarding trials, on a moment-to-moment basis. This reward information could then be used in collaboration with reinforcement learning principles toward an autonomous brain-machine interface. The autonomous brain-machine interface would use M1 for both decoding movement intention and extraction of reward expectation information as evaluative feedback, which would then update the decoding algorithm as necessary. In the work presented here, we show that this, in theory, is possible. PMID:25972167

  8. Toward an autonomous brain machine interface: integrating sensorimotor reward modulation and reinforcement learning.

    Science.gov (United States)

    Marsh, Brandi T; Tarigoppula, Venkata S Aditya; Chen, Chen; Francis, Joseph T

    2015-05-13

    For decades, neurophysiologists have worked on elucidating the function of the cortical sensorimotor control system from the standpoint of kinematics or dynamics. Recently, computational neuroscientists have developed models that can emulate changes seen in the primary motor cortex during learning. However, these simulations rely on the existence of a reward-like signal in the primary sensorimotor cortex. Reward modulation of the primary sensorimotor cortex has yet to be characterized at the level of neural units. Here we demonstrate that single units/multiunits and local field potentials in the primary motor (M1) cortex of nonhuman primates (Macaca radiata) are modulated by reward expectation during reaching movements and that this modulation is present even while subjects passively view cursor motions that are predictive of either reward or nonreward. After establishing this reward modulation, we set out to determine whether we could correctly classify rewarding versus nonrewarding trials, on a moment-to-moment basis. This reward information could then be used in collaboration with reinforcement learning principles toward an autonomous brain-machine interface. The autonomous brain-machine interface would use M1 for both decoding movement intention and extraction of reward expectation information as evaluative feedback, which would then update the decoding algorithm as necessary. In the work presented here, we show that this, in theory, is possible.

  9. Brain Stroke Detection by Microwaves Using Prior Information from Clinical Databases

    Directory of Open Access Journals (Sweden)

    Natalia Irishina

    2013-01-01

    Full Text Available Microwave tomographic imaging is an inexpensive, noninvasive modality of media dielectric properties reconstruction which can be utilized as a screening method in clinical applications such as breast cancer and brain stroke detection. For breast cancer detection, the iterative algorithm of structural inversion with level sets provides well-defined boundaries and incorporates an intrinsic regularization, which permits to discover small lesions. However, in case of brain lesion, the inverse problem is much more difficult due to the skull, which causes low microwave penetration and highly noisy data. In addition, cerebral liquid has dielectric properties similar to those of blood, which makes the inversion more complicated. Nevertheless, the contrast in the conductivity and permittivity values in this situation is significant due to blood high dielectric values compared to those of surrounding grey and white matter tissues. We show that using brain MRI images as prior information about brain's configuration, along with known brain dielectric properties, and the intrinsic regularization by structural inversion, allows successful and rapid stroke detection even in difficult cases. The method has been applied to 2D slices created from a database of 3D real MRI phantom images to effectively detect lesions larger than 2.5 × 10−2 m diameter.

  10. [Service Middleware of Medical Information Integration and Exchange Based on HL7 and DICOM].

    Science.gov (United States)

    Huang, Mian; Liu, Lijun; Xiong, Xin; Fan, Hongbo; Jia, Lianyin; Tang, Shouguo

    2015-08-01

    Medical information exchange and integration is the effective method to solve the interoperability and medical information island, and is the basis of medical information sharing. In this paper, we take medical texts and medical images as the basic integrated objects, DICOM, HL7 messages and datasets as the integrated units, efficient DI-COM, HL7 message construction and parsing methods as basis, design and realize a universal medical information integration and exchange service middleware. Experimental results show that the prototype system could perform medical information integration and exchange among relational database, HL7 and DICOM message, provide a feasible scheme to solve the medical information island and lay a good foundation for establishing the unified medical information integration and sharing platform. The middleware has been applied in the project named "development and demonstration of opened medical information integration system".

  11. Brain Death and Human Organismal Integration: A Symposium on the Definition of Death.

    Science.gov (United States)

    Moschella, Melissa

    2016-06-01

    Does the ability of some brain dead bodies to maintain homeostasis with the help of artificial life support actually imply that those bodies are living human organisms? Or might it be possible that a brain dead body on life support is a mere collection of still-living cells, organs and tissues which can coordinate with one another, but which lack the genuine integration that is the hallmark of a unified human organism as a whole? To foster further study of these difficult and timely questions, a Symposium on the Definition of Death was held at The Catholic University of America in June 2014. The Symposium brought together scholars from a variety of disciplines-law, medicine, biology, philosophy and theology-who all share a commitment to the dead donor rule and to a biological definition of death, but who have differing opinions regarding the validity of neurological criteria for human death. The papers found in this special issue are among the fruits of this Symposium.

  12. Brain Death and Human Organismal Integration: A Symposium on the Definition of Death.

    Science.gov (United States)

    Moschella, Melissa

    2016-06-01

    Does the ability of some brain dead bodies to maintain homeostasis with the help of artificial life support actually imply that those bodies are living human organisms? Or might it be possible that a brain dead body on life support is a mere collection of still-living cells, organs and tissues which can coordinate with one another, but which lack the genuine integration that is the hallmark of a unified human organism as a whole? To foster further study of these difficult and timely questions, a Symposium on the Definition of Death was held at The Catholic University of America in June 2014. The Symposium brought together scholars from a variety of disciplines-law, medicine, biology, philosophy and theology-who all share a commitment to the dead donor rule and to a biological definition of death, but who have differing opinions regarding the validity of neurological criteria for human death. The papers found in this special issue are among the fruits of this Symposium. PMID:27107428

  13. Brain systems for probabilistic and dynamic prediction: computational specificity and integration.

    Directory of Open Access Journals (Sweden)

    Jill X O'Reilly

    2013-09-01

    Full Text Available A computational approach to functional specialization suggests that brain systems can be characterized in terms of the types of computations they perform, rather than their sensory or behavioral domains. We contrasted the neural systems associated with two computationally distinct forms of predictive model: a reinforcement-learning model of the environment obtained through experience with discrete events, and continuous dynamic forward modeling. By manipulating the precision with which each type of prediction could be used, we caused participants to shift computational strategies within a single spatial prediction task. Hence (using fMRI we showed that activity in two brain systems (typically associated with reward learning and motor control could be dissociated in terms of the forms of computations that were performed there, even when both systems were used to make parallel predictions of the same event. A region in parietal cortex, which was sensitive to the divergence between the predictions of the models and anatomically connected to both computational networks, is proposed to mediate integration of the two predictive modes to produce a single behavioral output.

  14. Sixty minutes of what? A developing brain perspective for activating children with an integrative exercise approach.

    Science.gov (United States)

    Myer, Gregory D; Faigenbaum, Avery D; Edwards, Nicholas M; Clark, Joseph F; Best, Thomas M; Sallis, Robert E

    2015-12-01

    Current recommendations for physical activity in children overlook the critical importance of motor skill acquisition early in life. Instead, they focus on the quantitative aspects of physical activity (eg, accumulate 60 min of daily moderate to vigorous physical activity) and selected health-related components of physical fitness (eg, aerobic fitness, muscular strength, muscular endurance, flexibility and body composition). This focus on exercise quantity in youth may limit considerations of qualitative aspects of programme design which include (1) skill development, (2) socialisation and (3) enjoyment of exercise. The timing of brain development and associated neuroplasticity for motor skill learning makes the preadolescence period a critical time to develop and reinforce fundamental movement skills in boys and girls. Children who do not participate regularly in structured motor skill-enriched activities during physical education classes or diverse youth sports programmes may never reach their genetic potential for motor skill control which underlies sustainable physical fitness later in life. The goals of this review are twofold: (1) challenge current dogma that is currently focused on the quantitative rather than qualitative aspects of physical activity recommendations for youth and (2) synthesise the latest evidence regarding the brain and motor control that will provide the foundation for integrative exercise programming that provide a framework sustainable activity for life. PMID:25617423

  15. Artificial brains. A million spiking-neuron integrated circuit with a scalable communication network and interface.

    Science.gov (United States)

    Merolla, Paul A; Arthur, John V; Alvarez-Icaza, Rodrigo; Cassidy, Andrew S; Sawada, Jun; Akopyan, Filipp; Jackson, Bryan L; Imam, Nabil; Guo, Chen; Nakamura, Yutaka; Brezzo, Bernard; Vo, Ivan; Esser, Steven K; Appuswamy, Rathinakumar; Taba, Brian; Amir, Arnon; Flickner, Myron D; Risk, William P; Manohar, Rajit; Modha, Dharmendra S

    2014-08-01

    Inspired by the brain's structure, we have developed an efficient, scalable, and flexible non-von Neumann architecture that leverages contemporary silicon technology. To demonstrate, we built a 5.4-billion-transistor chip with 4096 neurosynaptic cores interconnected via an intrachip network that integrates 1 million programmable spiking neurons and 256 million configurable synapses. Chips can be tiled in two dimensions via an interchip communication interface, seamlessly scaling the architecture to a cortexlike sheet of arbitrary size. The architecture is well suited to many applications that use complex neural networks in real time, for example, multiobject detection and classification. With 400-pixel-by-240-pixel video input at 30 frames per second, the chip consumes 63 milliwatts.

  16. Digital Crust: Information architecture for heterogeneous data integration

    Science.gov (United States)

    Richard, S. M.; Zaslavsky, I.; Fan, Y.; Bristol, S.; Peters, S. E.

    2015-12-01

    The Digital Crust EarthCube Building block is addressing the issue of multiple, heterogeneous but related datasets characteristic of field and sample based research using a 'loose-schema' approach, with linked entity and attribute definitions in an information model (ontology) registry (IMR). Various data entities (RDA 'data types') are defined by mapping entity and attribute definitions to definitions in the IMR. Inclusion (loading) of new data at the simplest level can bring in entities that are not registered, but these will not be 'integratable' with other data until someone does the schema matching into the IMR. New datasets can be designed using registered entity and attributes that will from the beginning be integrated into the system (similar to the approach used by the National Information Exchange Model). The fundamental abstract components in this system are 1) a data repository that allows storage of key-value structured data objects; and 2) a registry that documents information models-- the base data types, attributes and entities -- and mappings from the registered types in the datastore to the registered items. This constitutes the data repository subsystem. Data access is enabled by caching views of aggregated data from the datastore (aggregated based on the semantics of the registered items in the IMR) and creating indexes based on the registered items in the IMR. Contributing data to this system will be greatly facilitated by using existing, documented information models. It can accept datasets that are not 'standardized' as well, but the consequence is that those data will not be integratable with other existing data until the work is done to document the entities and attributes in the data and to map those into existing registered types.

  17. Annotating novel genes by integrating synthetic lethals and genomic information

    Directory of Open Access Journals (Sweden)

    Faty Mahamadou

    2008-01-01

    Full Text Available Abstract Background Large scale screening for synthetic lethality serves as a common tool in yeast genetics to systematically search for genes that play a role in specific biological processes. Often the amounts of data resulting from a single large scale screen far exceed the capacities of experimental characterization of every identified target. Thus, there is need for computational tools that select promising candidate genes in order to reduce the number of follow-up experiments to a manageable size. Results We analyze synthetic lethality data for arp1 and jnm1, two spindle migration genes, in order to identify novel members in this process. To this end, we use an unsupervised statistical method that integrates additional information from biological data sources, such as gene expression, phenotypic profiling, RNA degradation and sequence similarity. Different from existing methods that require large amounts of synthetic lethal data, our method merely relies on synthetic lethality information from two single screens. Using a Multivariate Gaussian Mixture Model, we determine the best subset of features that assign the target genes to two groups. The approach identifies a small group of genes as candidates involved in spindle migration. Experimental testing confirms the majority of our candidates and we present she1 (YBL031W as a novel gene involved in spindle migration. We applied the statistical methodology also to TOR2 signaling as another example. Conclusion We demonstrate the general use of Multivariate Gaussian Mixture Modeling for selecting candidate genes for experimental characterization from synthetic lethality data sets. For the given example, integration of different data sources contributes to the identification of genetic interaction partners of arp1 and jnm1 that play a role in the same biological process.

  18. Effects of Informative and Confirmatory Feedback on Brain Activation During Negative Feedback Processing

    Directory of Open Access Journals (Sweden)

    Yeon-Kyoung eWoo

    2015-06-01

    Full Text Available The current study compared the effects of informative and confirmatory feedback on brain activation during negative feedback processing. For confirmatory feedback trials, participants were informed that they had failed the task, whereas informative feedback trials presented task relevant information along with the notification of their failure. Fourteen male undergraduates performed a series of spatial-perceptual tasks and received feedback while their brain activity was recorded. During confirmatory feedback trials, greater activations in the amygdala, dorsal anterior cingulate cortex, and the thalamus (including the habenular were observed in response to incorrect responses. These results suggest that confirmatory feedback induces negative emotional reactions to failure. In contrast, informative feedback trials elicited greater activity in the dorsolateral prefrontal cortex (DLPFC when participants experienced failure. Further psychophysiological interaction (PPI analysis revealed a negative coupling between the DLPFC and the amygdala during informative feedback relative to confirmatory feedback trials. These findings suggest that providing task-relevant information could facilitate implicit down-regulation of negative emotions following failure.

  19. Contextual Sensing: Integrating Contextual Information with Human and Technical Geo-Sensor Information for Smart Cities.

    Science.gov (United States)

    Sagl, Günther; Resch, Bernd; Blaschke, Thomas

    2015-07-14

    In this article we critically discuss the challenge of integrating contextual information, in particular spatiotemporal contextual information, with human and technical sensor information, which we approach from a geospatial perspective. We start by highlighting the significance of context in general and spatiotemporal context in particular and introduce a smart city model of interactions between humans, the environment, and technology, with context at the common interface. We then focus on both the intentional and the unintentional sensing capabilities of today's technologies and discuss current technological trends that we consider have the ability to enrich human and technical geo-sensor information with contextual detail. The different types of sensors used to collect contextual information are analyzed and sorted into three groups on the basis of names considering frequently used related terms, and characteristic contextual parameters. These three groups, namely technical in situ sensors, technical remote sensors, and human sensors are analyzed and linked to three dimensions involved in sensing (data generation, geographic phenomena, and type of sensing). In contrast to other scientific publications, we found a large number of technologies and applications using in situ and mobile technical sensors within the context of smart cities, and surprisingly limited use of remote sensing approaches. In this article we further provide a critical discussion of possible impacts and influences of both technical and human sensing approaches on society, pointing out that a larger number of sensors, increased fusion of information, and the use of standardized data formats and interfaces will not necessarily result in any improvement in the quality of life of the citizens of a smart city. This article seeks to improve our understanding of technical and human geo-sensing capabilities, and to demonstrate that the use of such sensors can facilitate the integration of different

  20. Contextual Sensing: Integrating Contextual Information with Human and Technical Geo-Sensor Information for Smart Cities

    Directory of Open Access Journals (Sweden)

    Günther Sagl

    2015-07-01

    Full Text Available In this article we critically discuss the challenge of integrating contextual information, in particular spatiotemporal contextual information, with human and technical sensor information, which we approach from a geospatial perspective. We start by highlighting the significance of context in general and spatiotemporal context in particular and introduce a smart city model of interactions between humans, the environment, and technology, with context at the common interface. We then focus on both the intentional and the unintentional sensing capabilities of today’s technologies and discuss current technological trends that we consider have the ability to enrich human and technical geo-sensor information with contextual detail. The different types of sensors used to collect contextual information are analyzed and sorted into three groups on the basis of names considering frequently used related terms, and characteristic contextual parameters. These three groups, namely technical in situ sensors, technical remote sensors, and human sensors are analyzed and linked to three dimensions involved in sensing (data generation, geographic phenomena, and type of sensing. In contrast to other scientific publications, we found a large number of technologies and applications using in situ and mobile technical sensors within the context of smart cities, and surprisingly limited use of remote sensing approaches. In this article we further provide a critical discussion of possible impacts and influences of both technical and human sensing approaches on society, pointing out that a larger number of sensors, increased fusion of information, and the use of standardized data formats and interfaces will not necessarily result in any improvement in the quality of life of the citizens of a smart city. This article seeks to improve our understanding of technical and human geo-sensing capabilities, and to demonstrate that the use of such sensors can facilitate the

  1. Contextual Sensing: Integrating Contextual Information with Human and Technical Geo-Sensor Information for Smart Cities.

    Science.gov (United States)

    Sagl, Günther; Resch, Bernd; Blaschke, Thomas

    2015-01-01

    In this article we critically discuss the challenge of integrating contextual information, in particular spatiotemporal contextual information, with human and technical sensor information, which we approach from a geospatial perspective. We start by highlighting the significance of context in general and spatiotemporal context in particular and introduce a smart city model of interactions between humans, the environment, and technology, with context at the common interface. We then focus on both the intentional and the unintentional sensing capabilities of today's technologies and discuss current technological trends that we consider have the ability to enrich human and technical geo-sensor information with contextual detail. The different types of sensors used to collect contextual information are analyzed and sorted into three groups on the basis of names considering frequently used related terms, and characteristic contextual parameters. These three groups, namely technical in situ sensors, technical remote sensors, and human sensors are analyzed and linked to three dimensions involved in sensing (data generation, geographic phenomena, and type of sensing). In contrast to other scientific publications, we found a large number of technologies and applications using in situ and mobile technical sensors within the context of smart cities, and surprisingly limited use of remote sensing approaches. In this article we further provide a critical discussion of possible impacts and influences of both technical and human sensing approaches on society, pointing out that a larger number of sensors, increased fusion of information, and the use of standardized data formats and interfaces will not necessarily result in any improvement in the quality of life of the citizens of a smart city. This article seeks to improve our understanding of technical and human geo-sensing capabilities, and to demonstrate that the use of such sensors can facilitate the integration of different

  2. Brain Basics

    Medline Plus

    Full Text Available ... Brain Basics provides information on how the brain works, how mental illnesses are disorders of the brain, ... others live with symptoms of mental illness every day. They can be moderate, or serious and cause ...

  3. Integrating Numerical Groundwater Modeling Results With Geographic Information Systems

    Science.gov (United States)

    Witkowski, M. S.; Robinson, B. A.; Linger, S. P.

    2001-12-01

    Many different types of data are used to create numerical models of flow and transport of groundwater in the vadose zone. Results from water balance studies, infiltration models, hydrologic properties, and digital elevation models (DEMs) are examples of such data. Because input data comes in a variety of formats, for consistency the data need to be assembled in a coherent fashion on a single platform. Through the use of a geographic information system (GIS), all data sources can effectively be integrated on one platform to store, retrieve, query, and display data. In our vadoze zone modeling studies in support of Los Alamos National Laboratory's Environmental Restoration Project, we employ a GIS comprised of a Raid storage device, an Oracle database, ESRI's spatial database engine (SDE), ArcView GIS, and custom GIS tools for three-dimensional (3D) analysis. We store traditional GIS data, such as, contours, historical building footprints, and study area locations, as points, lines, and polygons with attributes. Numerical flow and transport model results from the Finite Element Heat and Mass Transfer Code (FEHM) are stored as points with attributes, such as fluid saturation, or pressure, or contaminant concentration at a given location. We overlay traditional types of GIS data with numerical model results, thereby allowing us to better build conceptual models and perform spatial analyses. We have also developed specialized analysis tools to assist in the data and model analysis process. This approach provides an integrated framework for performing tasks such as comparing the model to data and understanding the relationship of model predictions to existing contaminant source locations and water supply wells. Our process of integrating GIS and numerical modeling results allows us to answer a wide variety of questions about our conceptual model design: - Which set of locations should be identified as contaminant sources based on known historical building operations

  4. From false integration of viewers on informative TV

    Directory of Open Access Journals (Sweden)

    Felisbela Lopes

    2011-12-01

    Full Text Available New media fast-paced technologies are constantly feeding the contemporary (telespectator with the promise of "empowerment". In the last decades, an "empowered user" notion is being built around the mythical narrative of 'omnipotence', that becomes the verb and the active complement to the modern promise of 'omnividence": the one who sees everything, can do everything. However, what we actually find when we scan the news and information broadcasts of portuguese TV, is that we don't find many traces of this supposedly "empowered" spectator. Broadcasts scarcely consider a structural participation of their public,or they only include spectators in euphemistical terms, letting them in just for the sake of having them in, thus treating the public not as citizens but as audiences and revealing a false "empowerment". In this article we analyze the integration of TV spectators on a total of 1673 news and information broadcasts in 6 Portuguese channels (RTP1, SIC, TVI, SICN, RTPN, TVI 24. This work is part of a research project called "Television journalism and citizenship".

  5. Brain functional network connectivity based on a visual task: visual information processing-related brain regions are significantly activated in the task state

    Directory of Open Access Journals (Sweden)

    Yan-li Yang

    2015-01-01

    Full Text Available It is not clear whether the method used in functional brain-network related research can be applied to explore the feature binding mechanism of visual perception. In this study, we investigated feature binding of color and shape in visual perception. Functional magnetic resonance imaging data were collected from 38 healthy volunteers at rest and while performing a visual perception task to construct brain networks active during resting and task states. Results showed that brain regions involved in visual information processing were obviously activated during the task. The components were partitioned using a greedy algorithm, indicating the visual network existed during the resting state. Z-values in the vision-related brain regions were calculated, confirming the dynamic balance of the brain network. Connectivity between brain regions was determined, and the result showed that occipital and lingual gyri were stable brain regions in the visual system network, the parietal lobe played a very important role in the binding process of color features and shape features, and the fusiform and inferior temporal gyri were crucial for processing color and shape information. Experimental findings indicate that understanding visual feature binding and cognitive processes will help establish computational models of vision, improve image recognition technology, and provide a new theoretical mechanism for feature binding in visual perception.

  6. Novel theory of the human brain: information-commutation basis of architecture and principles of operation

    OpenAIRE

    Bryukhovetskiy AS

    2015-01-01

    Andrey S Bryukhovetskiy Center for Biomedical Technologies, Federal Research and Clinical Center for Specialized Types of Medical Assistance and Medical Technologies of the Federal Medical Biological Agency, NeuroVita Clinic of Interventional and Restorative Neurology and Therapy, Moscow, Russia Abstract: Based on the methodology of the informational approach and research of the genome, proteome, and complete transcriptome profiles of different cells in the nervous tissue of the human brain,...

  7. Development of image and information management system for Korean standard brain

    Science.gov (United States)

    Chung, Soon Cheol; Choi, Do Young; Tack, Gye Rae; Sohn, Jin Hun

    2004-04-01

    The purpose of this study is to establish a reference for image acquisition for completing a standard brain for diverse Korean population, and to develop database management system that saves and manages acquired brain images and personal information of subjects. 3D MP-RAGE (Magnetization Prepared Rapid Gradient Echo) technique which has excellent Signal to Noise Ratio (SNR) and Contrast to Noise Ratio (CNR) as well as reduces image acquisition time was selected for anatomical image acquisition, and parameter values were obtained for the optimal image acquisition. Using these standards, image data of 121 young adults (early twenties) were obtained and stored in the system. System was designed to obtain, save, and manage not only anatomical image data but also subjects' basic demographic factors, medical history, handedness inventory, state-trait anxiety inventory, A-type personality inventory, self-assessment depression inventory, mini-mental state examination, intelligence test, and results of personality test via a survey questionnaire. Additionally this system was designed to have functions of saving, inserting, deleting, searching, and printing image data and personal information of subjects, and to have accessibility to them as well as automatic connection setup with ODBC. This newly developed system may have major contribution to the completion of a standard brain for diverse Korean population since it can save and manage their image data and personal information.

  8. Integrated But Not Whole? Applying an Ontological Account of Human Organismal Unity to the Brain Death Debate.

    Science.gov (United States)

    Moschella, Melissa

    2016-10-01

    As is clear in the 2008 report of the President's Council on Bioethics, the brain death debate is plagued by ambiguity in the use of such key terms as 'integration' and 'wholeness'. Addressing this problem, I offer a plausible ontological account of organismal unity drawing on the work of Hoffman and Rosenkrantz, and then apply that account to the case of brain death, concluding that a brain dead body lacks the unity proper to a human organism, and has therefore undergone a substantial change. I also show how my view can explain hard cases better than one in which biological integration (as understood by Alan Shewmon and the President's Council) is taken to imply ontological wholeness or unity.

  9. Disruption of White Matter Integrity in Adult Survivors of Childhood Brain Tumors: Correlates with Long-Term Intellectual Outcomes.

    Directory of Open Access Journals (Sweden)

    Tricia Z King

    Full Text Available Although chemotherapy and radiation treatment have contributed to increased survivorship, treatment-induced brain injury has been a concern when examining long-term intellectual outcomes of survivors. Specifically, disruption of brain white matter integrity and its relationship to intellectual outcomes in adult survivors of childhood brain tumors needs to be better understood.Fifty-four participants underwent diffusion tensor imaging in addition to structural MRI and an intelligence test (IQ. Voxel-wise group comparisons of fractional anisotropy calculated from DTI data were performed using Tract Based Spatial Statistics (TBSS on 27 survivors (14 treated with radiation with and without chemotherapy and 13 treated without radiation treatment on average over 13 years since diagnosis and 27 healthy comparison participants. Whole brain white matter fractional anisotropy (FA differences were explored between each group. The relationships between IQ and FA in the regions where statistically lower FA values were found in survivors were examined, as well as the role of cumulative neurological factors.The group of survivors treated with radiation with and without chemotherapy had lower IQ relative to the group of survivors without radiation treatment and the healthy comparison group. TBSS identified white matter regions with significantly different mean fractional anisotropy between the three different groups. A lower level of white matter integrity was found in the radiation with or without chemotherapy treated group compared to the group without radiation treatment and also the healthy control group. The group without radiation treatment had a lower mean FA relative to healthy controls. The white matter disruption of the radiation with or without chemotherapy treated survivors was positively correlated with IQ and cumulative neurological factors.Lower long-term intellectual outcomes of childhood brain tumor survivors are associated with lower white

  10. "Neuro-semeiotics" and "free-energy minimization" suggest a unified perspective for integrative brain actions: focus on receptor heteromers and Roamer type of volume transmission.

    Science.gov (United States)

    Agnati, Luigi F; Guidolin, Diego; Marcoli, Manuela; Genedani, Susanna; Borroto-Escuela, Dasiel; Maura, Guido; Fuxe, Kjell

    2014-01-01

    Two far-reaching theoretical approaches, namely "Neuro-semeiotics" (NS) and "Free-energy Minimization" (FEM), have been recently proposed as frames within which to put forward heuristic hypotheses on integrative brain actions. In the present paper these two theoretical approaches are briefly discussed in the perspective of a recent model of brain architecture and information handling based on what we suggest calling Jacob's tinkering principle, whereby "to create is to recombine!". The NS and FEM theoretical approaches will be discussed from the perspective both of the Roamer-Type Volume Transmission (especially exosome-mediated) of intercellular communication and of the impact of receptor oligomers and Receptor-Receptor Interactions (RRIs) on signal recognition/decoding processes. In particular, the Bio-semeiotics concept of "adaptor" will be used to analyze RRIs as an important feature of NS. Furthermore, the concept of phenotypic plasticity of cells will be introduced in view of the demonstration of the possible transfer of receptors (i.e., adaptors) into a computational network via exosomes (see also Appendix). Thus, Jacob's tinkering principle will be proposed as a theoretical basis for some learning processes both at the network level (Turing-like type of machine) and at the molecular level as a consequence of both the plastic changes in the adaptors caused by the allosteric interactions in the receptor oligomers and the intercellular transfer of receptors. Finally, on the basis of NS and FEM theories, a unified perspective for integrative brain actions will be proposed. PMID:25175453

  11. "Neuro-semeiotics" and "free-energy minimization" suggest a unified perspective for integrative brain actions: focus on receptor heteromers and Roamer type of volume transmission.

    Science.gov (United States)

    Agnati, Luigi F; Guidolin, Diego; Marcoli, Manuela; Genedani, Susanna; Borroto-Escuela, Dasiel; Maura, Guido; Fuxe, Kjell

    2014-01-01

    Two far-reaching theoretical approaches, namely "Neuro-semeiotics" (NS) and "Free-energy Minimization" (FEM), have been recently proposed as frames within which to put forward heuristic hypotheses on integrative brain actions. In the present paper these two theoretical approaches are briefly discussed in the perspective of a recent model of brain architecture and information handling based on what we suggest calling Jacob's tinkering principle, whereby "to create is to recombine!". The NS and FEM theoretical approaches will be discussed from the perspective both of the Roamer-Type Volume Transmission (especially exosome-mediated) of intercellular communication and of the impact of receptor oligomers and Receptor-Receptor Interactions (RRIs) on signal recognition/decoding processes. In particular, the Bio-semeiotics concept of "adaptor" will be used to analyze RRIs as an important feature of NS. Furthermore, the concept of phenotypic plasticity of cells will be introduced in view of the demonstration of the possible transfer of receptors (i.e., adaptors) into a computational network via exosomes (see also Appendix). Thus, Jacob's tinkering principle will be proposed as a theoretical basis for some learning processes both at the network level (Turing-like type of machine) and at the molecular level as a consequence of both the plastic changes in the adaptors caused by the allosteric interactions in the receptor oligomers and the intercellular transfer of receptors. Finally, on the basis of NS and FEM theories, a unified perspective for integrative brain actions will be proposed.

  12. Spatiotemporal integration of tactile information in human somatosensory cortex

    Directory of Open Access Journals (Sweden)

    Zumer Johanna M

    2007-03-01

    Full Text Available Abstract Background Our goal was to examine the spatiotemporal integration of tactile information in the hand representation of human primary somatosensory cortex (anterior parietal somatosensory areas 3b and 1, secondary somatosensory cortex (S2, and the parietal ventral area (PV, using high-resolution whole-head magnetoencephalography (MEG. To examine representational overlap and adaptation in bilateral somatosensory cortices, we used an oddball paradigm to characterize the representation of the index finger (D2; deviant stimulus as a function of the location of the standard stimulus in both right- and left-handed subjects. Results We found that responses to deviant stimuli presented in the context of standard stimuli with an interstimulus interval (ISI of 0.33s were significantly and bilaterally attenuated compared to deviant stimulation alone in S2/PV, but not in anterior parietal cortex. This attenuation was dependent upon the distance between the deviant and standard stimuli: greater attenuation was found when the standard was immediately adjacent to the deviant (D3 and D2 respectively, with attenuation decreasing for non-adjacent fingers (D4 and opposite D2. We also found that cutaneous mechanical stimulation consistently elicited not only a strong early contralateral cortical response but also a weak ipsilateral response in anterior parietal cortex. This ipsilateral response appeared an average of 10.7 ± 6.1 ms later than the early contralateral response. In addition, no hemispheric differences either in response amplitude, response latencies or oddball responses were found, independent of handedness. Conclusion Our findings are consistent with the large receptive fields and long neuronal recovery cycles that have been described in S2/PV, and suggest that this expression of spatiotemporal integration underlies the complex functions associated with this region. The early ipsilateral response suggests that anterior parietal fields also

  13. Report of traumatic brain injury information sources among OIF/OEF Veterans undergoing polytrauma evaluations

    Directory of Open Access Journals (Sweden)

    Robert J. Spencer, PhD

    2013-02-01

    Full Text Available Servicemembers returning from recent conflicts frequently report symptoms associated with traumatic brain injury (TBI and are subsequently assessed within the Department of Veterans Affairs (VA medical system. Information on potential cognitive and behavioral correlates of TBI is available from multiple sources. A Veteran’s symptom presentation may be significantly influenced by the information he or she has received. Despite knowledge of the relationship between information source and symptom presentation, little work has focused on a characterization of where Veterans receive their information. The present study aims to fill this gap in the literature. We asked 152 Veterans who screened positive for possible TBI within the VA healthcare system about the sources of information they have encountered regarding TBI and its sequelae. “Friends in the military” was the most frequently cited source of information, followed by the Internet, medical professionals, and informational pamphlets. The results of this survey indicate that Veterans are being exposed to information about TBI prior to a formal evaluation and that this information comes from multiple sources of varying reliability. Future research should focus on evaluating and ultimately improving the reliability of this information in order to positively influence the treatment of Veterans.

  14. In unison: First- and second-order information combine for integration of shape information.

    Science.gov (United States)

    Tan, Ken W S; Dickinson, J Edwin; Badcock, David R

    2016-09-01

    The modulation of orientation around radial frequency (RF) patterns and RF textures is globally processed in both cases. This psychophysical study investigates whether the combination-a textured RF path obtained by applying an RF texture to an RF contour-is processed like a texture or a contour when making judgements about shape. Unlike RF textures, the impression of a closed flow was not required for global integration of textured RF paths, suggesting that these paths were processed as second-order, or contrast-defined contours. Luminance-defined (LD) RF paths were shown to globally integrate but with thresholds approximately half of those for the proposed second-order textured paths. The next experiment investigated whether this benefit was due to LD stimuli possessing double the amount of information (first- and second-order information). A mixed three-part contour composed of two different second-order texture components and an LD component was then employed to determine how the different cues combined. The mixed path thresholds matched predictions derived from a linear combination of first- and second-order cues. The conclusion is that the shape of isolated contours is processed using both first- and second-order information equally and that the contribution of texture is to carry additional second-order signal. PMID:27618513

  15. Intrinsic activity in the fly brain gates visual information during behavioral choices.

    Directory of Open Access Journals (Sweden)

    Shiming Tang

    Full Text Available The small insect brain is often described as an input/output system that executes reflex-like behaviors. It can also initiate neural activity and behaviors intrinsically, seen as spontaneous behaviors, different arousal states and sleep. However, less is known about how intrinsic activity in neural circuits affects sensory information processing in the insect brain and variability in behavior. Here, by simultaneously monitoring Drosophila's behavioral choices and brain activity in a flight simulator system, we identify intrinsic activity that is associated with the act of selecting between visual stimuli. We recorded neural output (multiunit action potentials and local field potentials in the left and right optic lobes of a tethered flying Drosophila, while its attempts to follow visual motion (yaw torque were measured by a torque meter. We show that when facing competing motion stimuli on its left and right, Drosophila typically generate large torque responses that flip from side to side. The delayed onset (0.1-1 s and spontaneous switch-like dynamics of these responses, and the fact that the flies sometimes oppose the stimuli by flying straight, make this behavior different from the classic steering reflexes. Drosophila, thus, seem to choose one stimulus at a time and attempt to rotate toward its direction. With this behavior, the neural output of the optic lobes alternates; being augmented on the side chosen for body rotation and suppressed on the opposite side, even though the visual input to the fly eyes stays the same. Thus, the flow of information from the fly eyes is gated intrinsically. Such modulation can be noise-induced or intentional; with one possibility being that the fly brain highlights chosen information while ignoring the irrelevant, similar to what we know to occur in higher animals.

  16. 45 CFR 61.14 - Confidentiality of Healthcare Integrity and Protection Data Bank information.

    Science.gov (United States)

    2010-10-01

    ... GENERAL ADMINISTRATION HEALTHCARE INTEGRITY AND PROTECTION DATA BANK FOR FINAL ADVERSE INFORMATION ON HEALTH CARE PROVIDERS, SUPPLIERS AND PRACTITIONERS Disclosure of Information by the Healthcare Integrity... 45 Public Welfare 1 2010-10-01 2010-10-01 false Confidentiality of Healthcare Integrity...

  17. Information Extraction, Data Integration, and Uncertain Data Management: The State of The Art

    NARCIS (Netherlands)

    Habib, Mena B.; Keulen, van Maurice

    2011-01-01

    Information Extraction, data Integration, and uncertain data management are different areas of research that got vast focus in the last two decades. Many researches tackled those areas of research individually. However, information extraction systems should have integrated with data integration meth

  18. Integration of egocentric and allocentric information during memory-guided reaching to images of a natural environment

    Directory of Open Access Journals (Sweden)

    Katja eFiehler

    2014-08-01

    Full Text Available When interacting with our environment we generally make use of egocentric and allocentric object information by coding object positions relative to the observer or relative to the environment, respectively. Bayesian theories suggest that the brain integrates both sources of information optimally for perception and action. However, experimental evidence for egocentric and allocentric integration is sparse and has only been studied using abstract stimuli lacking ecological relevance. Here, we investigated the use of egocentric and allocentric information during memory-guided reaching to images of naturalistic scenes. Participants encoded a breakfast scene containing six objects on a table (local objects and three objects in the environment (global objects. After a 2s delay, a visual test scene reappeared for 1s in which one local object was missing (=target and of the remaining, one, three or five local objects or one of the global objects were shifted to the left or to the right. The offset of the test scene prompted participants to reach to the target as precisely as possible. Only local objects served as potential reach targets and thus were task-relevant. When shifting objects we predicted accurate reaching if participants only used egocentric coding of object position and systematic shifts of reach endpoints if allocentric information were used for movement planning. We found that reaching movements were largely affected by allocentric shifts showing an increase in endpoint errors in the direction of object shifts with the number of local objects shifted. No effect occurred when one local or one global object was shifted. Our findings suggest that allocentric cues are indeed used by the brain for memory-guided reaching towards targets in naturalistic visual scenes. Moreover, the integration of egocentric and allocentric object information seems to depend on the extent of changes in the scene.

  19. Consistent multi-time-point brain atrophy estimation from the boundary shift integral.

    Science.gov (United States)

    Leung, Kelvin K; Ridgway, Gerard R; Ourselin, Sébastien; Fox, Nick C

    2012-02-15

    Brain atrophy measurement is increasingly important in studies of neurodegenerative diseases such as Alzheimer's disease (AD), with particular relevance to trials of potential disease-modifying drugs. Automated registration-based methods such as the boundary shift integral (BSI) have been developed to provide more precise measures of change from a pair of serial MR scans. However, when a method treats one image of the pair (typically the baseline) as the reference to which the other is compared, this systematic asymmetry risks introducing bias into the measurement. Recent concern about potential biases in longitudinal studies has led to several suggestions to use symmetric image registration, though some of these methods are limited to two time-points per subject. Therapeutic trials and natural history studies increasingly involve several serial scans, it would therefore be useful to have a method that can consistently estimate brain atrophy over multiple time-points. Here, we use the log-Euclidean concept of a within-subject average to develop affine registration and differential bias correction methods suitable for any number of time-points, yielding a longitudinally consistent multi-time-point BSI technique. Baseline, 12-month and 24-month MR scans of healthy controls, subjects with mild cognitive impairment and AD patients from the Alzheimer's Disease Neuroimaging Initiative are used for testing the bias in processing scans with different amounts of atrophy. Four tests are used to assess bias in brain volume loss from BSI: (a) inverse consistency with respect to ordering of pairs of scans 12 months apart; (b) transitivity consistency over three time-points; (c) randomly ordered back-to-back scans, expected to show no consistent change over subjects; and (d) linear regression of the atrophy rates calculated from the baseline and 12-month scans and the baseline and 24-month scans, where any additive bias should be indicated by a non-zero intercept. Results

  20. Integrated System Technologies for Modular Trapped Ion Quantum Information Processing

    Science.gov (United States)

    Crain, Stephen G.

    Although trapped ion technology is well-suited for quantum information science, scalability of the system remains one of the main challenges. One of the challenges associated with scaling the ion trap quantum computer is the ability to individually manipulate the increasing number of qubits. Using micro-mirrors fabricated with micro-electromechanical systems (MEMS) technology, laser beams are focused on individual ions in a linear chain and steer the focal point in two dimensions. Multiple single qubit gates are demonstrated on trapped 171Yb+ qubits and the gate performance is characterized using quantum state tomography. The system features negligible crosstalk to neighboring ions (detectors (SNSPD), which provide a higher detector efficiency (69%) compared to traditional photomultiplier tubes (35%). The total system photon collection efficiency is increased from 2.2% to 3.4%, which allows for fast state detection of the qubit. For a detection beam intensity of 11 mW/cm 2, the average detection time is 23.7 mus with 99.885(7)% detection fidelity. The technologies demonstrated in this thesis can be integrated to form a single quantum register with all of the necessary resources to perform local gates as well as high fidelity readout and provide a photon link to other systems.

  1. Discovering transnosological molecular basis of human brain diseases using biclustering analysis of integrated gene expression data

    OpenAIRE

    Cha, Kihoon; Hwang, Taeho; Oh, Kimin; Yi, Gwan-Su

    2015-01-01

    Background It has been reported that several brain diseases can be treated as transnosological manner implicating possible common molecular basis under those diseases. However, molecular level commonality among those brain diseases has been largely unexplored. Gene expression analyses of human brain have been used to find genes associated with brain diseases but most of those studies were restricted either to an individual disease or to a couple of diseases. In addition, identifying significa...

  2. Fundamentally Distributed Information Processing Integrates the Motor Network into the Mental Workspace during Mental Rotation.

    Science.gov (United States)

    Schlegel, Alexander; Konuthula, Dedeepya; Alexander, Prescott; Blackwood, Ethan; Tse, Peter U

    2016-08-01

    The manipulation of mental representations in the human brain appears to share similarities with the physical manipulation of real-world objects. In particular, some neuroimaging studies have found increased activity in motor regions during mental rotation, suggesting that mental and physical operations may involve overlapping neural populations. Does the motor network contribute information processing to mental rotation? If so, does it play a similar computational role in both mental and manual rotation, and how does it communicate with the wider network of areas involved in the mental workspace? Here we used multivariate methods and fMRI to study 24 participants as they mentally rotated 3-D objects or manually rotated their hands in one of four directions. We find that information processing related to mental rotations is distributed widely among many cortical and subcortical regions, that the motor network becomes tightly integrated into a wider mental workspace network during mental rotation, and that motor network activity during mental rotation only partially resembles that involved in manual rotation. Additionally, these findings provide evidence that the mental workspace is organized as a distributed core network that dynamically recruits specialized subnetworks for specific tasks as needed. PMID:27054403

  3. Intact-Brain Analyses Reveal Distinct Information Carried by SNc Dopamine Subcircuits.

    Science.gov (United States)

    Lerner, Talia N; Shilyansky, Carrie; Davidson, Thomas J; Evans, Kathryn E; Beier, Kevin T; Zalocusky, Kelly A; Crow, Ailey K; Malenka, Robert C; Luo, Liqun; Tomer, Raju; Deisseroth, Karl

    2015-07-30

    Recent progress in understanding the diversity of midbrain dopamine neurons has highlighted the importance--and the challenges--of defining mammalian neuronal cell types. Although neurons may be best categorized using inclusive criteria spanning biophysical properties, wiring of inputs, wiring of outputs, and activity during behavior, linking all of these measurements to cell types within the intact brains of living mammals has been difficult. Here, using an array of intact-brain circuit interrogation tools, including CLARITY, COLM, optogenetics, viral tracing, and fiber photometry, we explore the diversity of dopamine neurons within the substantia nigra pars compacta (SNc). We identify two parallel nigrostriatal dopamine neuron subpopulations differing in biophysical properties, input wiring, output wiring to dorsomedial striatum (DMS) versus dorsolateral striatum (DLS), and natural activity patterns during free behavior. Our results reveal independently operating nigrostriatal information streams, with implications for understanding the logic of dopaminergic feedback circuits and the diversity of mammalian neuronal cell types.

  4. Down syndrome screening information in midwifery practices in the Netherlands: Strategies to integrate biomedical information.

    Science.gov (United States)

    Rosman, Sophia

    2016-03-01

    The aim of this qualitative study was to analyse counselling with regard to prenatal screening in midwifery consultations in the Netherlands where a national prenatal screening programme has only existed since 2007, after years of social and political debates. The methodology is based on in situ observations of 25 counselling consultations in four midwifery practices in two main cities in the Netherlands. The results of this study show that, since midwives are obliged to offer information on Down syndrome screening to all pregnant women (2007), they have to deal with the communication of medical screening information using biostatistical concepts to explain risks, calculations, probabilities and chromosomal anomalies. In order to avoid the risk of medicalization of their consultation, midwives develop strategies that allow them to integrate this new biomedical discourse while maintaining their low medicalized approach of midwife-led care. One of their main strategies is to switch from 'alarming' biomedical messages to 'reassuring words' in order to manage the anxiety induced by the information and to keep the control over their low medicalized consultation. They also tend to distance themselves from the obligation to talk about screening. The way midwives handle these counselling consultations allows them to respect their obligation to propose information, and to remain faithful to their struggle to protect the natural process of pregnancy as well as their professional autonomy. PMID:25504473

  5. A Template-driven Approach for Maintainable Service-oriented Information Systems Integration

    OpenAIRE

    Pahl, Claus; Zhu, Yaoling; Gacitua-Decar, Veronica

    2009-01-01

    peer-reviewed Service-oriented architecture (SOA) is currently the predominant software integration framework. Web services provide the predominant platform for SOA. SOA as an integration architecture solution supports a range of application scenarios. We present a solution for the integration of business information systems based on SOA and Web services. We discuss maintainability requirements in relation to information-specific integration and architecture aspects. A template-based appro...

  6. The human brain on a computer, the design neuromorphic chips aims to process information as does the mind

    International Nuclear Information System (INIS)

    Develop chips that mimic the brain processes It will help create computers capable of interpreting information from image, sound and touch so that it may offer answers intelligent-not programmed before- according to these sensory data. chips neuromorphic may mimic the electrical activity neurons and brain synapses, and will be key to intelligence systems artificial (ia) that require interaction with the environment being able to extract information cognitive of what surrounds them. (Author)

  7. A system architecture for sharing de-identified, research-ready brain scans and health information across clinical imaging centers.

    Science.gov (United States)

    Chervenak, Ann L; van Erp, Theo G M; Kesselman, Carl; D'Arcy, Mike; Sobell, Janet; Keator, David; Dahm, Lisa; Murry, Jim; Law, Meng; Hasso, Anton; Ames, Joseph; Macciardi, Fabio; Potkin, Steven G

    2012-01-01

    Progress in our understanding of brain disorders increasingly relies on the costly collection of large standardized brain magnetic resonance imaging (MRI) data sets. Moreover, the clinical interpretation of brain scans benefits from compare and contrast analyses of scans from patients with similar, and sometimes rare, demographic, diagnostic, and treatment status. A solution to both needs is to acquire standardized, research-ready clinical brain scans and to build the information technology infrastructure to share such scans, along with other pertinent information, across hospitals. This paper describes the design, deployment, and operation of a federated imaging system that captures and shares standardized, de-identified clinical brain images in a federation across multiple institutions. In addition to describing innovative aspects of the system architecture and our initial testing of the deployed infrastructure, we also describe the Standardized Imaging Protocol (SIP) developed for the project and our interactions with the Institutional Review Board (IRB) regarding handling patient data in the federated environment. PMID:22941984

  8. Integrated Land Information System - a relevant step for development of information background for PEEX?

    Science.gov (United States)

    Shvidenko, Anatoly; Schepaschenko, Dmitry; Baklanov, Alexander

    2014-05-01

    PEEX, as a long-term multidisciplinary integrated study, needs a systems design of a relevant information background. The idea of development of an Integrated Land Information System (ILIS) for the region as an initial step of future advanced integrated observing systems is considered as a promising way. The ILIS could serve (1) for introduction of a unified system of classification and quantification of environment, ecosystems and landscapes; (2) as a benchmark for tracing the dynamics of land use - land cover and ecosystems parameters, particularly for forests; (3) as a systems background for empirical assessment of indicators of an interest (e.g., components of biogeochemical cycles); (4) comparisons, harmonizing and mutual constraints of the results obtained by different methods; (5) for parameterization of surface fluxes for the 'atmosphere-land' system; (6) for use in divers models and for models' validation; (7) for downscaling of available information to a required scale; (8) for understanding of gradients for up-scaling of "point" data, etc. The ILIS is presented in form of multi-layer and multi-scale GIS that includes a hybrid land cover (HLC) by a definite date and corresponding legends and attributive databases. The HLC is based on relevant combination of a "multi" remote sensing concept that includes sensors of different type and resolution and ground data. The ILIS includes inter alia (1) general geographical and biophysical description of the territory (landscapes, soil, vegetation, hydrology, bioclimatic zones, permafrost etc.); (2) diverse datasets of measurements in situ; (3) sets of empirical and semi-empirical aggregation and auxiliary models, (4) data on different inventories and surveys (forest inventory, land account, results of forest monitoring); (5) spatial and temporal description of anthropogenic and natural disturbances; (5) climatic data with relevant temporal resolution etc. The ILIS should include only the data with known

  9. A Fuzzy Integral Ensemble Method in Visual P300 Brain-Computer Interface

    Directory of Open Access Journals (Sweden)

    Francesco Cavrini

    2016-01-01

    Full Text Available We evaluate the possibility of application of combination of classifiers using fuzzy measures and integrals to Brain-Computer Interface (BCI based on electroencephalography. In particular, we present an ensemble method that can be applied to a variety of systems and evaluate it in the context of a visual P300-based BCI. Offline analysis of data relative to 5 subjects lets us argue that the proposed classification strategy is suitable for BCI. Indeed, the achieved performance is significantly greater than the average of the base classifiers and, broadly speaking, similar to that of the best one. Thus the proposed methodology allows realizing systems that can be used by different subjects without the need for a preliminary configuration phase in which the best classifier for each user has to be identified. Moreover, the ensemble is often capable of detecting uncertain situations and turning them from misclassifications into abstentions, thereby improving the level of safety in BCI for environmental or device control.

  10. A Pilot Project of Early Integrated Traumatic Brain Injury Rehabilitation in Singapore

    Directory of Open Access Journals (Sweden)

    Siew Kwaon Lui

    2014-01-01

    Full Text Available Objective. Document acute neurosurgical and rehabilitation parameters of patients of all traumatic brain injury (TBI severities and determine whether early screening along with very early integrated TBI rehabilitation changes functional outcomes. Methods. Prospective study involving all patients with TBI admitted to a neurosurgical department of a tertiary hospital. They were assessed within 72 hours of admission by the rehabilitation team and received twice weekly rehabilitation reviews. Patients with further rehabilitation needs were then transferred to the attached acute inpatient TBI rehabilitation unit (TREATS and their functional outcomes were compared against a historical group of patients. Demographic variables, acute neurosurgical characteristics, medical complications, and rehabilitation outcomes were recorded. Results. There were 298 patients screened with an average age of 61.8±19.1 years. The most common etiology was falls (77.5%. Most patients were discharged home directly (67.4% and 22.8% of patients were in TREATS. The TREATS group functionally improved (P<0.001. Regression analysis showed by the intervention of TREATS, that there was a statistically significant FIM functional gain of 18.445 points (95% CI −30.388 to −0.6502, P=0.03. Conclusion. Our study demonstrated important epidemiological data on an unselected cohort of patients with TBI in Singapore and functional improvement in patients who further received inpatient rehabilitation.

  11. Reactive actuators and sensors integrated in one device: mimicking brain-muscles feedback communication

    Science.gov (United States)

    Otero, Toribio F.; Martinez, Jose G.

    2013-04-01

    Artificial muscles based on carbon derivative molecular structures are chemical (electro-chemo-mechanical) actuators. The electrochemical reaction drives the film volume variation and the actuation. The applied current controls the movement rate and the charge controls the amplitude of the displacement (Faraday' motors). Any working or surrounding variable influencing the reaction rate will be sensed by the muscle potential, or by the consumed electrical energy, evolution during actuation. Experimental results and full theoretical description of the basic reactive material and of any dual electrochemical sensing-actuator will be presented. During current flow the muscle potential and the consumed electrical energy evolution are influenced by the working variables: temperature, electrolyte concentration, driving current, film volume variation (external pressure, applied strain, hanged masses, obstacles in its way). The working muscle becomes an electrochemical sensor. Only two connecting wires contain actuating (current) and sensing (potential) signals read and controlled, at any time from the computer-generator. One device integrates several sensing and actuating tools working simultaneously mimicking muscles/brain feedback communication.

  12. Loss of Microstructural Integrity in the Limbic-Subcortical Networks for Acute Symptomatic Traumatic Brain Injury

    Directory of Open Access Journals (Sweden)

    Yanan Zhu

    2014-01-01

    Full Text Available Previous studies reported discrepant white matter diffusivity in mild traumatic brain injury (mTBI on the base of Glasgow Coma Scale, which are unreliable for some TBI severity indicators and the frequency of missing documentation in the medical record. In the present study, we adopted the Mayo classification system for TBI severity. In this system, the mTBI is also divided into two groups as “probable and symptomatic” TBI. We aimed to investigate altered microstructural integrity in symptomatic acute TBI (<1 week by using tract-based spatial statics (TBSS approach. A total of 12 patients and 13 healthy volunteers were involved and underwent MRI scans including conventional scan, and SWI and DTI. All the patients had no visible lesions by using conventional and SWI neuroimaging techniques, while showing widespread declines in the fractional anisotropy (FA of gray matter and white matter throughout the TBSS skeleton, particularly in the limbic-subcortical structures. By contrast, symptomatic TBI patients showed no significant enhanced changes in FA compared to the healthy controls. A better understanding of the acute changes occurring following symptomatic TBI may increase our understanding of neuroplasticity and continuing degenerative change, which, in turn, may facilitate advances in management and intervention.

  13. Brain-wave Dynamics Related to Cognitive Tasks and Neurofeedback Information Flow

    Science.gov (United States)

    Pop-Jordanova, Nada; Pop-Jordanov, Jordan; Dimitrovski, Darko; Markovska, Natasa

    2003-08-01

    Synchronization of oscillating neuronal discharges has been recently correlated to the moment of perception and the ensuing motor response, with transition between these two cognitive acts "through cellular mechanisms that remain to be established"[1]. Last year, using genetic strategies, it was found that the switching off persistent electric activity in the brain blocks memory recall [2]. On the other hand, analyzing mental-neural information flow, the nobelist Eccles has formulated a fundamental hypotheses that mental events may change the probability of quantum vesicular emissions of transmitters analogously to probability functions of quantum mechanics [3]. Applying the advanced quantum modeling to molecular rotational states exposed to electric activity in brain cells, we found that the probability of transitions does not depend on the field amplitude, suggesting the electric field frequency as the possible information-bearing physical quantity [4]. In this paper, an attempt is made to inter-correlate the above results on frequency aspects of neural transitions induced by cognitive tasks. Furthermore, considering the consecutive steps of mental-neural information flow during the biofeedback training to normalize EEG frequencies, the rationales for neurofeedback efficiency have been deduced.

  14. Melatonin promotes blood-brain barrier integrity in methamphetamine-induced inflammation in primary rat brain microvascular endothelial cells.

    Science.gov (United States)

    Jumnongprakhon, Pichaya; Govitrapong, Piyarat; Tocharus, Chainarong; Tocharus, Jiraporn

    2016-09-01

    Melatonin is a neurohormone and has high potent of antioxidant that is widely reported to be active against methamphetamine (METH)-induced toxicity to neuron, glial cells, and brain endothelial cells. However, the role of melatonin on the inflammatory responses which are mostly caused by blood-brain barrier (BBB) impairment by METH administration has not been investigated. This study used the primary rat brain microvascular endothelial cells (BMVECs) to determine the protective mechanism of melatonin on METH-induced inflammatory responses in the BBB via nuclear factor-ĸB (NF-κB) and nuclear factor erythroid 2-related factor-2 (Nrf2) signaling. Herein, we demonstrated that melatonin reduced the level of the inflammatory mediators, including intercellular adhesion molecules (ICAM)-1, vascular cell adhesion molecules (VCAM)-1, matrix metallopeptidase (MMP)-9, inducible nitric oxide synthase (iNOS), and nitric oxide (NO) caused by METH. These responses were related to the decrease of the expression and translocation of the NF-κB p65 subunit and the activity of NADPH oxidase (NOX)-2. In addition, melatonin promoted the antioxidant processes, modulated the expression and translocation of Nrf2, and also increased the level of heme oxygenase (HO)-1, NAD (P) H: quinone oxidoreductase (NQO)-1, γ-glutamylcysteine synthase (γ-GCLC), and the activity of superoxide dismutase (SOD) through NOX2 mechanism. In addition, we found that the protective role of melatonin in METH-induced inflammatory responses in the BBB was mediated through melatonin receptors (MT1/2). We concluded that the interaction of melatonin with its receptor prevented METH-induced inflammatory responses by suppressing the NF-κB signaling and promoting the Nrf2 signaling before BBB impairment. PMID:27268413

  15. The Effect of Information Security Management on Organizational Processes Integration in Supply Chain

    Directory of Open Access Journals (Sweden)

    Mohsen Shafiei Nikabadi

    2012-03-01

    Full Text Available : The major purpose of this article was that how information security management has effect on supply chain integration and the effect of implementing "information security management system" on enhancing supplies chain integration. In this respect, current research was seeking a combination overview to these tow approaches (Information Security Management and Organizational Processes Integration by Enterprise Resources Planning System and after that determined factors of these two important issue by factor analysis. Researchers using a series of comments in the automotive experts (production planning and management and supply chain experts and caregivers car makers and suppliers in the first level and second level supply chain industry. In this way, it has been done that impact on how information security management processes enterprise supply chain integration with the help of statistical correlation analysis. The results of this investigation indicated effect of "information security management system" various dimensions that were coordination of information, prevent human errors and hardware, the accuracy of information and education for users on two dimensions of internal and external integration of business processes, supply chain and finally, it can increased integration of business processes in supply chain. At the end owing to quite these results, deployment of "information security management system" increased the integration of organizational processes in supply chain. It could be demonstrate with the consideration of relation of organizational integration processes whit the level of coordination of information, prevent errors and accuracy of information throughout the supply chain.

  16. Multisensory causal inference in the brain

    OpenAIRE

    Christoph Kayser; Ladan Shams

    2015-01-01

    © 2015 Kayser, Shams. At any given moment, our brain processes multiple inputs from its different sensory modalities (vision, hearing, touch, etc.). In deciphering this array of sensory information, the brain has to solve two problems: (1) which of the inputs originate from the same object and should be integrated and (2) for the sensations originating from the same object, how best to integrate them. Recent behavioural studies suggest that the human brain solves these problems using optimal ...

  17. Integrated scheduling and resource management. [for Space Station Information System

    Science.gov (United States)

    Ward, M. T.

    1987-01-01

    This paper examines the problem of integrated scheduling during the Space Station era. Scheduling for Space Station entails coordinating the support of many distributed users who are sharing common resources and pursuing individual and sometimes conflicting objectives. This paper compares the scheduling integration problems of current missions with those anticipated for the Space Station era. It examines the facilities and the proposed operations environment for Space Station. It concludes that the pattern of interdependecies among the users and facilities, which are the source of the integration problem is well structured, allowing a dividing of the larger problem into smaller problems. It proposes an architecture to support integrated scheduling by scheduling efficiently at local facilities as a function of dependencies with other facilities of the program. A prototype is described that is being developed to demonstrate this integration concept.

  18. 75 FR 76982 - Integrated Risk Information System (IRIS); Announcement of Availability of Literature Searches...

    Science.gov (United States)

    2010-12-10

    ... AGENCY Integrated Risk Information System (IRIS); Announcement of Availability of Literature Searches for... literature searches for IRIS assessments; request for information. SUMMARY: The U.S. Environmental Protection Agency (EPA) is announcing the availability of literature searches for four IRIS...

  19. 77 FR 42339 - Improving Contracting Officers' Access to Relevant Integrity Information

    Science.gov (United States)

    2012-07-18

    ... information about contractor business ethics in the Federal Awardee Performance and Integrity Information System (FAPIIS). FAPIIS is designed to facilitate the Government's ability to evaluate the business ethics of prospective contractors and protect the Government from awarding contracts to contractors...

  20. Neurodegeneration from mitochondrial insufficiency: nutrients, stem cells, growth factors, and prospects for brain rebuilding using integrative management.

    Science.gov (United States)

    Kidd, Parris M

    2005-12-01

    Degenerative brain disorders (neurodegeneration) can be frustrating for both conventional and alternative practitioners. A more comprehensive, integrative approach is urgently needed. One emerging focus for intervention is brain energetics. Specifically, mitochondrial insufficiency contributes to the etiopathology of many such disorders. Electron leakages inherent to mitochondrial energetics generate reactive oxygen free radical species that may place the ultimate limit on lifespan. Exogenous toxins, such as mercury and other environmental contaminants, exacerbate mitochondrial electron leakage, hastening their demise and that of their host cells. Studies of the brain in Alzheimer's and other dementias, Down syndrome, stroke, Parkinson's disease, multiple sclerosis, amyotrophic lateral sclerosis, Huntington's disease, Friedreich's ataxia, aging, and constitutive disorders demonstrate impairments of the mitochondrial citric acid cycle and oxidative phosphorylation (OXPHOS) enzymes. Imaging or metabolic assays frequently reveal energetic insufficiency and depleted energy reserve in brain tissue in situ. Orthomolecular nutrients involved in mitochondrial metabolism provide clinical benefit. Among these are the essential minerals and the B vitamin group; vitamins E and K; and the antioxidant and energetic cofactors alpha-lipoic acid (ALA), ubiquinone (coenzyme Q10; CoQ10), and nicotinamide adenine dinucleotide, reduced (NADH). Recent advances in the area of stem cells and growth factors encourage optimism regarding brain regeneration. The trophic nutrients acetyl L-carnitine (ALCAR), glycerophosphocholine (GPC), and phosphatidylserine (PS) provide mitochondrial support and conserve growth factor receptors; all three improved cognition in double-blind trials. The omega-3 fatty acid docosahexaenoic acid (DHA) is enzymatically combined with GPC and PS to form membrane phospholipids for nerve cell expansion. Practical recommendations are presented for integrating these

  1. Information gathering and integration as sources of error in diagnostic decision making.

    Science.gov (United States)

    Gruppen, L D; Wolf, F M; Billi, J E

    1991-01-01

    This research examined the relative importance of information gathering versus information utilization in accounting for errors in diagnostic decision making. Two experiments compared physicians' performances under two conditions: one in which they gathered a limited amount of diagnostic information and then integrated it before making a decision, and the other in which they were given all the diagnostic information and needed only to integrate it. The physicians: 1) frequently failed to select normatively optimal information in both experimental conditions; 2) were more confident about the correctness of their information selection when their task was limited to information integration than when it also included information gathering; and 3) made diagnoses in substantial agreement with those indicated by applying normative procedures to the same data. Physicians appear to have difficulties recognizing the diagnosticity of information, which often results in decisions that are pseudodiagnostic or based on diagnostically worthless information. PMID:1766327

  2. Brain Structural Integrity and Intrinsic Functional Connectivity Forecast 6 Year Longitudinal Growth in Children's Numerical Abilities

    OpenAIRE

    Evans, Tanya M.; Kochalka, John; Ngoon, Tricia J.; Wu, Sarah S.; Qin, Shaozheng; Battista, Christian; Menon, Vinod

    2015-01-01

    Early numerical proficiency lays the foundation for acquiring quantitative skills essential in today's technological society. Identification of cognitive and brain markers associated with long-term growth of children's basic numerical computation abilities is therefore of utmost importance. Previous attempts to relate brain structure and function to numerical competency have focused on behavioral measures from a single time point. Thus, little is known about the brain predictors of individual...

  3. A RuleML Study on Integrating Geographical and Health Information

    DEFF Research Database (Denmark)

    Gao, Sheng; Mioc, Darka; Boley, Harold;

    2008-01-01

    as an interchangeable RuleML knowledge base, consisting of facts and rules. Rules are also used for integrating geographical and health information. The implemented eHealthGeo system uses the OO jDREW reasoning engine to deduce implicit information such as spatial relationships. The system combines this with spatial...... operations and supports health information roll-up and visualization. The eHealthGeo study demonstrates a RuleML approach to supporting semantic health information integration and management....

  4. Acute Sleep Deprivation Induces a Local Brain Transfer Information Increase in the Frontal Cortex in a Widespread Decrease Context

    Directory of Open Access Journals (Sweden)

    Joan F. Alonso

    2016-04-01

    Full Text Available Sleep deprivation (SD has adverse effects on mental and physical health, affecting the cognitive abilities and emotional states. Specifically, cognitive functions and alertness are known to decrease after SD. The aim of this work was to identify the directional information transfer after SD on scalp EEG signals using transfer entropy (TE. Using a robust methodology based on EEG recordings of 18 volunteers deprived from sleep for 36 h, TE and spectral analysis were performed to characterize EEG data acquired every 2 h. Correlation between connectivity measures and subjective somnolence was assessed. In general, TE showed medium- and long-range significant decreases originated at the occipital areas and directed towards different regions, which could be interpreted as the transfer of predictive information from parieto-occipital activity to the rest of the head. Simultaneously, short-range increases were obtained for the frontal areas, following a consistent and robust time course with significant maps after 20 h of sleep deprivation. Changes during sleep deprivation in brain network were measured effectively by TE, which showed increased local connectivity and diminished global integration. TE is an objective measure that could be used as a potential measure of sleep pressure and somnolence with the additional property of directed relationships.

  5. Acute Sleep Deprivation Induces a Local Brain Transfer Information Increase in the Frontal Cortex in a Widespread Decrease Context

    Science.gov (United States)

    Alonso, Joan F.; Romero, Sergio; Mañanas, Miguel A.; Alcalá, Marta; Antonijoan, Rosa M.; Giménez, Sandra

    2016-01-01

    Sleep deprivation (SD) has adverse effects on mental and physical health, affecting the cognitive abilities and emotional states. Specifically, cognitive functions and alertness are known to decrease after SD. The aim of this work was to identify the directional information transfer after SD on scalp EEG signals using transfer entropy (TE). Using a robust methodology based on EEG recordings of 18 volunteers deprived from sleep for 36 h, TE and spectral analysis were performed to characterize EEG data acquired every 2 h. Correlation between connectivity measures and subjective somnolence was assessed. In general, TE showed medium- and long-range significant decreases originated at the occipital areas and directed towards different regions, which could be interpreted as the transfer of predictive information from parieto-occipital activity to the rest of the head. Simultaneously, short-range increases were obtained for the frontal areas, following a consistent and robust time course with significant maps after 20 h of sleep deprivation. Changes during sleep deprivation in brain network were measured effectively by TE, which showed increased local connectivity and diminished global integration. TE is an objective measure that could be used as a potential measure of sleep pressure and somnolence with the additional property of directed relationships. PMID:27089346

  6. Acute Sleep Deprivation Induces a Local Brain Transfer Information Increase in the Frontal Cortex in a Widespread Decrease Context.

    Science.gov (United States)

    Alonso, Joan F; Romero, Sergio; Mañanas, Miguel A; Alcalá, Marta; Antonijoan, Rosa M; Giménez, Sandra

    2016-01-01

    Sleep deprivation (SD) has adverse effects on mental and physical health, affecting the cognitive abilities and emotional states. Specifically, cognitive functions and alertness are known to decrease after SD. The aim of this work was to identify the directional information transfer after SD on scalp EEG signals using transfer entropy (TE). Using a robust methodology based on EEG recordings of 18 volunteers deprived from sleep for 36 h, TE and spectral analysis were performed to characterize EEG data acquired every 2 h. Correlation between connectivity measures and subjective somnolence was assessed. In general, TE showed medium- and long-range significant decreases originated at the occipital areas and directed towards different regions, which could be interpreted as the transfer of predictive information from parieto-occipital activity to the rest of the head. Simultaneously, short-range increases were obtained for the frontal areas, following a consistent and robust time course with significant maps after 20 h of sleep deprivation. Changes during sleep deprivation in brain network were measured effectively by TE, which showed increased local connectivity and diminished global integration. TE is an objective measure that could be used as a potential measure of sleep pressure and somnolence with the additional property of directed relationships. PMID:27089346

  7. THE IMPORTANCE OF THE IMPLEMENTATION OF INTEGRATED INFORMATION SYSTEMS IN THE RESTRUCTURING AND EUROPEAN INTEGRATION PROCESS OF ORGANIZATIONS

    Directory of Open Access Journals (Sweden)

    Steliac Nela

    2010-12-01

    Full Text Available Many of the organizations that are part of the public and private domain in Romania have reached the stage in which the existing information systems can no longer comply with the requests of users. Therefore, we are compelled by necessity to use integrated information systems which should be able to control all kinds of data and to allow access to them, to ensure the coherence and consistency of the stored information. Managers must be aware of the importance of the implementation of integrated information systems in the background restructuring of the organization, which can thus become consistent and competitive with the European Union one, so the integration process becomes a real and possible one.

  8. Management information systems : emerging tools for integrated forest planning

    OpenAIRE

    Rondeux, Jacques

    1991-01-01

    Reliable information is necessary for effective management planning. To some extent a data base management system (DBMS) often provides the underlying structure of a management information system (MIS). Many computerized systems can be grouped under the MIS umbrella. This is the case of GIS(Geographic Information System) that is optimized to store, retrieve and update geographic information. Such developing technologies that are being used more and more for the planning, monitoring and ev...

  9. Management information systems : emerging tools for integrated forest planning

    OpenAIRE

    Rondeux, Jacques

    1993-01-01

    Reliable information is necessary for effective management planning. To some extent a data base management system (DBMS) often provides the underlying structure of a management information system (MIS). Many computerized systems can be grouped under the MIS umbrella. This is the case of GIS (geographic information system) that is optimized to store, retrieve and update geographic information. Such developing technologies that are being used more and more for the planning, monitoring and e...

  10. The Impact of Information Technology Integrated Into Decision Making Process

    OpenAIRE

    Codreanu Diana Elena; Rãduþ Carmen; Parpandel Denisa-Elena

    2012-01-01

    In recent decades, all studies have shown that information, based on modern information technologies, have gained particular importance is seen as a strategic resource necessary for the development of the resource, which is sometimes considered more important than raw materials or energy. The impact of information technology on various areas of human and economic life is so great that it speaks of a new phase in the evolution of society, namely: information society. Field studies show that in...

  11. THE IMPORTANCE OF THE IMPLEMENTATION OF INTEGRATED INFORMATION SYSTEMS IN THE RESTRUCTURING AND EUROPEAN INTEGRATION PROCESS OF ORGANIZATIONS

    OpenAIRE

    Steliac Nela; Moisuc Diana - Aderina

    2010-01-01

    Many of the organizations that are part of the public and private domain in Romania have reached the stage in which the existing information systems can no longer comply with the requests of users. Therefore, we are compelled by necessity to use integrated information systems which should be able to control all kinds of data and to allow access to them, to ensure the coherence and consistency of the stored information. Managers must be aware of the importance of the implementation of integrat...

  12. Integrating Information Literacy into Teacher Education: A Successful Grant Project

    Science.gov (United States)

    Earp, Vanessa

    2009-01-01

    Information literacy has gained importance over the last few decades, not only among librarians, but also with higher education faculty. Information literacy instruction is important for all college-level students. However, it is essential for teacher education students who must not only be information literate themselves, but also be able to…

  13. Integrating Structure to Protein-Protein Interaction Networks That Drive Metastasis to Brain and Lung in Breast Cancer

    OpenAIRE

    H Billur Engin; Emre Guney; Ozlem Keskin; Baldo Oliva; Attila Gursoy

    2013-01-01

    Integrating Structure to Protein-Protein Interaction Networks That Drive Metastasis to Brain and Lung in Breast Cancer H. Billur Engin1, Emre Guney2, Ozlem Keskin1, Baldo Oliva2, Attila Gursoy1* 1 Center for Computational Biology and Bioinformatics and College of Engineering, Koc University, Istanbul, Turkey, 2 Structural Bioinformatics Group (GRIB), Universitat Pompeu Fabra Abstract Blocking specific protein interactions can lead to human diseases. Accordingly, protein i...

  14. Risk Informed Design Using Integrated Vehicle Rapid Assessment Tools Project

    Data.gov (United States)

    National Aeronautics and Space Administration — A successful proof of concept was performed in FY 2012 integrating the Envision tool for parametric estimates of vehicle mass and the Rapid Response Risk Assessment...

  15. Spectral Transfer Learning Using Information Geometry for a User-Independent Brain-Computer Interface

    Science.gov (United States)

    Waytowich, Nicholas R.; Lawhern, Vernon J.; Bohannon, Addison W.; Ball, Kenneth R.; Lance, Brent J.

    2016-01-01

    Recent advances in signal processing and machine learning techniques have enabled the application of Brain-Computer Interface (BCI) technologies to fields such as medicine, industry, and recreation; however, BCIs still suffer from the requirement of frequent calibration sessions due to the intra- and inter-individual variability of brain-signals, which makes calibration suppression through transfer learning an area of increasing interest for the development of practical BCI systems. In this paper, we present an unsupervised transfer method (spectral transfer using information geometry, STIG), which ranks and combines unlabeled predictions from an ensemble of information geometry classifiers built on data from individual training subjects. The STIG method is validated in both off-line and real-time feedback analysis during a rapid serial visual presentation task (RSVP). For detection of single-trial, event-related potentials (ERPs), the proposed method can significantly outperform existing calibration-free techniques as well as outperform traditional within-subject calibration techniques when limited data is available. This method demonstrates that unsupervised transfer learning for single-trial detection in ERP-based BCIs can be achieved without the requirement of costly training data, representing a step-forward in the overall goal of achieving a practical user-independent BCI system.

  16. Information-geometric measures estimate neural interactions during oscillatory brain states

    Directory of Open Access Journals (Sweden)

    Yimin eNie

    2014-02-01

    Full Text Available The characterization of functional network structures among multiple neurons is essential to understanding neural information processing. Information geometry (IG, a theory developed for investigating a space of probability distributions has recently been applied to spike-train analysis and has provided robust estimations of neural interactions. Although neural firing in the equilibrium state is often assumed in these studies, in reality, neural activity is non-stationary. The brain exhibits various oscillations depending on cognitive demands or when an animal is asleep. Therefore, the investigation of the IG measures during oscillatory network states is important for testing how the IG method can be applied to real neural data. Using model networks of binary neurons or more realistic spiking neurons, we studied how the single- and pairwise-IG measures were influenced by oscillatory neural activity. Two general oscillatory mechanisms, externally driven oscillations and internally induced oscillations, were considered. In both mechanisms, we found that the single-IG measure was linearly related to the magnitude of the external input, and that the pairwise-IG measure was linearly related to the sum of connection strengths between two neurons. We also observed that the pairwise-IG measure was not dependent on the oscillation frequency. These results are consistent with the previous findings that were obtained under the equilibrium conditions. Therefore, we demonstrate that the IG method provides useful insights into neural interactions under the oscillatory condition that can often be observed in the real brain.

  17. Enhanced integration of motion information in children with autism

    OpenAIRE

    Manning, Catherine; Tibber, Marc S.; Charman, Tony; Dakin, Steven C.; Pellicano, Elizabeth

    2015-01-01

    To judge the overall direction of a shoal of fish or a crowd of people, observers must integrate motion signals across space and time. The limits on our ability to pool motion have largely been established using the motion coherence paradigm, in which observers report the direction of coherently moving dots amid randomly moving noise dots. Poor performance by autistic individuals on this task has widely been interpreted as evidence of disrupted integrative processes. Critically, however, moti...

  18. Conceptualization and Integration of Information Systems in Educational Business Activities

    OpenAIRE

    Salah Alkhafaji; B. Sriram

    2013-01-01

    The business activities are highly incorporated with the technology development and need to be updated periodically. Business activities have made the technology to be more creative and innovative. The organizations need to integrate their business activities into a single system to achieve their aims and objectives successfully. Various studies are already conducted in integrating such business activities as Business Process Management System. In particular, various management systems are av...

  19. The integrated web service and genome database for agricultural plants with biotechnology information

    OpenAIRE

    Kim, ChangKug; Park, DongSuk; Seol, YoungJoo; Hahn, JangHo

    2011-01-01

    The National Agricultural Biotechnology Information Center (NABIC) constructed an agricultural biology-based infrastructure and developed a Web based relational database for agricultural plants with biotechnology information. The NABIC has concentrated on functional genomics of major agricultural plants, building an integrated biotechnology database for agro-biotech information that focuses on genomics of major agricultural resources. This genome database provides annotated genome information...

  20. Ethics and information technology: how nurses balance when integrity and trust are at stake.

    Science.gov (United States)

    Simpson, Roy L

    2006-01-01

    When we think about ethics in nursing, such things as "Do Not Resuscitate" (DNR) orders and euthanasia come to mind. However, in the information age, there are some often-overlooked ethical issues surrounding information and information systems. This article examines several information technology influences and their impact on the issues of ethics, integrity, and trust. PMID:16449888

  1. Risk Information Management Resource (RIMR): modeling an approach to defending against military medical information assurance brain drain

    Science.gov (United States)

    Wright, Willie E.

    2003-05-01

    As Military Medical Information Assurance organizations face off with modern pressures to downsize and outsource, they battle with losing knowledgeable people who leave and take with them what they know. This knowledge is increasingly being recognized as an important resource and organizations are now taking steps to manage it. In addition, as the pressures for globalization (Castells, 1998) increase, collaboration and cooperation are becoming more distributed and international. Knowledge sharing in a distributed international environment is becoming an essential part of Knowledge Management. This is a major shortfall in the current approach to capturing and sharing knowledge in Military Medical Information Assurance. This paper addresses this challenge by exploring Risk Information Management Resource (RIMR) as a tool for sharing knowledge using the concept of Communities of Practice. RIMR is based no the framework of sharing and using knowledge. This concept is done through three major components - people, process and technology. The people aspect enables remote collaboration, support communities of practice, reward and recognize knowledge sharing while encouraging storytelling. The process aspect enhances knowledge capture and manages information. While the technology aspect enhance system integration and data mining, it also utilizes intelligent agents and exploits expert systems. These coupled with supporting activities of education and training, technology infrastructure and information security enables effective information assurance collaboration.

  2. Information use and resource competition: an integrative framework.

    Science.gov (United States)

    Lee, Alexander E G; Ounsley, James P; Coulson, Tim; Rowcliffe, J Marcus; Cowlishaw, Guy

    2016-02-24

    Organisms may reduce uncertainty regarding how best to exploit their environment by collecting information about resource distribution. We develop a model to demonstrate how competition can facilitate or constrain an individual's ability to use information when acquiring resources. As resource distribution underpins both selection on information use and the strength and nature of competition between individuals, we demonstrate interdependencies between the two that should be common in nature. Individuals in our model can search for resources either personally or by using social information. We explore selection on social information use across a comprehensive range of ecological conditions, generalizing the producer-scrounger framework to a wide diversity of taxa and resources. We show that resource ecology--defined by scarcity, depletion rate and monopolizability--determines patterns of individual differences in social information use. These differences suggest coevolutionary processes linking dominance systems and social information use, with implications for the evolutionary demography of populations.

  3. Management of information in development projects – a proposed integrated model

    Directory of Open Access Journals (Sweden)

    C. Bester

    2008-11-01

    Full Text Available The first section of the article focuses on the need for development in Africa and the specific challenges of development operations. It describes the need for a holistic and integrated information management model as part of the project management body of knowledge aimed at managing the information flow between communities and development project teams. It is argued that information, and access to information, is crucial in development projects and can therefore be seen as a critical success factor in any development project. In the second section of the article, the three information areas of the holistic and integrated information management model are described. In the section thereafter we suggest roles and actions for information managers to facilitate information processes integral to the model. These processes seek to create a developing information community that aligns itself with the development project, and supports and sustains it.

  4. 脑控:基于脑-机接口的人机融合控制%Brain Control: Human-computer Integration Control Based on Brain-computer Interface

    Institute of Scientific and Technical Information of China (English)

    王行愚; 金晶; 张宇; 王蓓

    2013-01-01

    近年来,一类被称之为脑控的新型控制系统发展迅速,这是一种基于脑-机接口(Brain-computer interface,BCI)的人机融合控制系统,也是一种基于人的意念和思维的控制系统.脑控系统己被成功应用于残疾人的生活辅助、中风病人和损伤肢体的康复训练、操作员状态的实时监控、游戏娱乐和智能家居等广泛的领域.本文在简要介绍了脑控的研究背景、基本原理、系统结构和发展概况的基础上,着重对脑电信号(Electroencephalogram,EEG)模式、控制信号转换算法和应用系统研究等主要问题的研究现状,进行了较为详细的论述和分析,并探讨了进一步研究的方向和思路.最后对脑控的未来发展方向和应用前景进行了分析和展望.%Recently, a new system called brain control system has been developed rapidly. Brain control system is a human-computer integration control system based on brain-computer interface (BCI), which relies on human's ideas and thinking. Brain control system has been successfully applied in wide fields, assisting disabled patients daily life, training patients with stroke or limb injury, monitoring the status of human operator, as well as entertainment and smart house etc. In this paper, the background, basic principle, system structure and developments are firstly introduced briefly. The current research status focusing on the problems of electroencephalogram (EEG) signal pattern, control signal transfer algorithm and system application is summarized and analyzed in detail. The further research direction and thoughts are discussed. Finally, the future development of brain control is analyzed and prospects are given.

  5. The Integration of the Information and Communication Functions, and the Marketing of the Resulting Products.

    Science.gov (United States)

    Harris, Susan C.

    1985-01-01

    Discusses the theoretical basis for integration of information functions and communication functions, the relevance of this integration in the scientific information cycle, and its positive effect on commodity research networks. The application of this theory is described using three commodity programs of the Centro Internacional de Agricultura…

  6. Integration of IT-Security Aspects into Information Demand Analysis and Patterns

    OpenAIRE

    Sandkuhl, Kurt; Matulevicius, Raimundas; Kirikova, Marite; Ahmed, Naved

    2015-01-01

    Information logistics in general addresses demand-oriented information supply in organizations. IT-security has not received much attention in information logistics research. However, integration of security aspects into information logistics methods could be useful for application contexts with strong security requirements. As a contribution to this aspect, the paper investigates the possibility to extend information demand patterns (IDP) and information demand analysis (IDA) with security e...

  7. Integrating Functional Brain Neuroimaging and Developmental Cognitive Neuroscience in Child Psychiatry Research

    Science.gov (United States)

    Pavuluri, Mani N.; Sweeney, John A.

    2008-01-01

    The use of cognitive neuroscience and functional brain neuroimaging to understand brain dysfunction in pediatric psychiatric disorders is discussed. Results show that bipolar youths demonstrate impairment in affective and cognitive neural systems and in these two circuits' interface. Implications for the diagnosis and treatment of psychiatric…

  8. Brain Basics

    Medline Plus

    Full Text Available ... Welcome. Brain Basics provides information on how the brain works, how mental illnesses are disorders of the brain, ... highly developed area at the front of the brain that, in humans, plays a role in executive functions such as ...

  9. Integrated management of information inside maintenance processes. From the building registry to BIM systems

    Directory of Open Access Journals (Sweden)

    Cinzia Talamo

    2014-10-01

    Full Text Available The paper presents objec- tives, methods and results of two researches dealing with the improvement of integrated information management within maintenance processes. Focusing on information needs regarding the last phases of the building process, the two researches draft approaches characterizing a path of progressive improve- ment of strategies for integration: from a building registry, unique for the whole construction process, to an integrated management of the building process with the support of BIM systems.

  10. Integration of chemotherapy into current treatment strategies for brain metastases from solid tumors

    International Nuclear Information System (INIS)

    Patients with brain metastases represent a heterogeneous group where selection of the most appropriate treatment depends on many patient- and disease-related factors. Eventually, a considerable proportion of patients are treated with palliative approaches such as whole-brain radiotherapy. Whole-brain radiotherapy in combination with chemotherapy has recently gained increasing attention and is hoped to augment the palliative effect of whole-brain radiotherapy alone and to extend survival in certain subsets of patients with controlled extracranial disease and good performance status. The randomized trials of whole-brain radiotherapy vs. whole-brain radiotherapy plus chemotherapy suggest that this concept deserves further study, although they failed to improve survival. However, survival might not be the most relevant endpoint in a condition, where most patients die from extracranial progression. Sometimes, the question arises whether patients with newly detected brain metastases and the indication for systemic treatment of extracranial disease can undergo standard systemic chemotherapy with the option of deferred rather than immediate radiotherapy to the brain. The literature contains numerous small reports on this issue, mainly in malignant melanoma, breast cancer, lung cancer and ovarian cancer, but very few sufficiently powered randomized trials. With chemotherapy alone, response rates were mostly in the order of 20–40%. The choice of chemotherapy regimen is often complicated by previous systemic treatment and takes into account the activity of the drugs in extracranial metastatic disease. Because the blood-brain barrier is partially disrupted in most macroscopic metastases, systemically administered agents can gain access to such tumor sites. Our systematic literature review suggests that both chemotherapy and radiochemotherapy for newly diagnosed brain metastases need further critical evaluation before standard clinical implementation. A potential chemotherapy

  11. Integration of chemotherapy into current treatment strategies for brain metastases from solid tumors

    Directory of Open Access Journals (Sweden)

    Thamm Reinhard

    2006-06-01

    Full Text Available Abstract Patients with brain metastases represent a heterogeneous group where selection of the most appropriate treatment depends on many patient- and disease-related factors. Eventually, a considerable proportion of patients are treated with palliative approaches such as whole-brain radiotherapy. Whole-brain radiotherapy in combination with chemotherapy has recently gained increasing attention and is hoped to augment the palliative effect of whole-brain radiotherapy alone and to extend survival in certain subsets of patients with controlled extracranial disease and good performance status. The randomized trials of whole-brain radiotherapy vs. whole-brain radiotherapy plus chemotherapy suggest that this concept deserves further study, although they failed to improve survival. However, survival might not be the most relevant endpoint in a condition, where most patients die from extracranial progression. Sometimes, the question arises whether patients with newly detected brain metastases and the indication for systemic treatment of extracranial disease can undergo standard systemic chemotherapy with the option of deferred rather than immediate radiotherapy to the brain. The literature contains numerous small reports on this issue, mainly in malignant melanoma, breast cancer, lung cancer and ovarian cancer, but very few sufficiently powered randomized trials. With chemotherapy alone, response rates were mostly in the order of 20–40%. The choice of chemotherapy regimen is often complicated by previous systemic treatment and takes into account the activity of the drugs in extracranial metastatic disease. Because the blood-brain barrier is partially disrupted in most macroscopic metastases, systemically administered agents can gain access to such tumor sites. Our systematic literature review suggests that both chemotherapy and radiochemotherapy for newly diagnosed brain metastases need further critical evaluation before standard clinical

  12. The "proactive" model of learning: Integrative framework for model-free and model-based reinforcement learning utilizing the associative learning-based proactive brain concept.

    Science.gov (United States)

    Zsuga, Judit; Biro, Klara; Papp, Csaba; Tajti, Gabor; Gesztelyi, Rudolf

    2016-02-01

    Reinforcement learning (RL) is a powerful concept underlying forms of associative learning governed by the use of a scalar reward signal, with learning taking place if expectations are violated. RL may be assessed using model-based and model-free approaches. Model-based reinforcement learning involves the amygdala, the hippocampus, and the orbitofrontal cortex (OFC). The model-free system involves the pedunculopontine-tegmental nucleus (PPTgN), the ventral tegmental area (VTA) and the ventral striatum (VS). Based on the functional connectivity of VS, model-free and model based RL systems center on the VS that by integrating model-free signals (received as reward prediction error) and model-based reward related input computes value. Using the concept of reinforcement learning agent we propose that the VS serves as the value function component of the RL agent. Regarding the model utilized for model-based computations we turned to the proactive brain concept, which offers an ubiquitous function for the default network based on its great functional overlap with contextual associative areas. Hence, by means of the default network the brain continuously organizes its environment into context frames enabling the formulation of analogy-based association that are turned into predictions of what to expect. The OFC integrates reward-related information into context frames upon computing reward expectation by compiling stimulus-reward and context-reward information offered by the amygdala and hippocampus, respectively. Furthermore we suggest that the integration of model-based expectations regarding reward into the value signal is further supported by the efferent of the OFC that reach structures canonical for model-free learning (e.g., the PPTgN, VTA, and VS).

  13. Information systems development course : integrating business, IT and IS competencies

    OpenAIRE

    Carvalho, João Álvaro; Sousa, Rui Dinis; Sá, Jorge Vaz de Oliveira e

    2010-01-01

    Information systems development (ISD) is a capstone course in the Information Systems and Technology undergraduate program at School of Engineering, University of Minho, Portugal. ISD is viewed as an organizational change project that aims at improving an organization through the adoption of IT applications. The course is designed following a project led approach. The project involves describing an organization as a system, describing its information handling activities and proposing a set of...

  14. Integration of library and information activities: The INIST challenge

    International Nuclear Information System (INIS)

    A presentation of the INIST (Institut de l'Information Scientifique et Technique) of CNRS (France) as a complete information factory which combines all the activities involved in managing an important collection and a large-scale document delivery center with the production and operation of databases, online services, publication of current bibliographies and reference tools, production of CD-ROMs, and research activities in the field of information science and technology, is given

  15. Sticking with the nice guy: trait warmth information impairs learning and modulates person perception brain network activity.

    Science.gov (United States)

    Lee, Victoria K; Harris, Lasana T

    2014-12-01

    Social learning requires inferring social information about another person, as well as evaluating outcomes. Previous research shows that prior social information biases decision making and reduces reliance on striatal activity during learning (Delgado, Frank, & Phelps, Nature Neuroscience 8 (11): 1611-1618, 2005). A rich literature in social psychology on person perception demonstrates that people spontaneously infer social information when viewing another person (Fiske & Taylor, 2013) and engage a network of brain regions, including the medial prefrontal cortex, temporal parietal junction, superior temporal sulcus, and precuneus (Amodio & Frith, Nature Reviews Neuroscience, 7(4), 268-277, 2006; Haxby, Gobbini, & Montgomery, 2004; van Overwalle Human Brain Mapping, 30, 829-858, 2009). We investigate the role of these brain regions during social learning about well-established dimensions of person perception-trait warmth and trait competence. We test the hypothesis that activity in person perception brain regions interacts with learning structures during social learning. Participants play an investment game where they must choose an agent to invest on their behalf. This choice is guided by cues signaling trait warmth or trait competence based on framing of monetary returns. Trait warmth information impairs learning about human but not computer agents, while trait competence information produces similar learning rates for human and computer agents. We see increased activation to warmth information about human agents in person perception brain regions. Interestingly, activity in person perception brain regions during the decision phase negatively predicts activity in the striatum during feedback for trait competence inferences about humans. These results suggest that social learning may engage additional processing within person perception brain regions that hampers learning in economic contexts.

  16. Evaluation of Research Project on Integrated Management and Services of Urban Development Records, Archives, and Information

    Institute of Scientific and Technical Information of China (English)

    2005-01-01

    To evaluate the project "Research in integrated management and services of urban development records, archives, and information" in progress, this paper analyzes "why", "what", and "how" issues of relevant integration research about integrated management and services of urban development records, archives, and information based on a survey of literature at home and abroad. By a comparative study of current integration research status and features, the author gives a critical analysis of the strengths and weakness of the project and provides recommendations for future research.Cross disciplinary studies indicate that ideals of integration can add values to collaboration, innovation,and optimum in managing evidence, information, memory, and knowledge of built environment cross-culture, cross-discipline, cross-domain, and cross institution for enhancing competitiveness and productivity of business. Cross cultural studies indicate that integrated records, archives, and information management as a whole into capital construction project management process, organizational information resources management systems, and the construction of digital urban development archival repository through service-control, process-control, and product-control are fundamental to guarantee the characteristics and quality of records and records system to support evidence-based e-government,e-business, and the sustainability development of digital city. Present studies on integrated management and services of urban development records, archives, and information have limitations on too much emphasis on integration for collaboration and optimum but not enough studies on integration for innovation and broader use.

  17. Exposure to lipopolysaccharide and/or unconjugated bilirubin impair the integrity and function of brain microvascular endothelial cells.

    Directory of Open Access Journals (Sweden)

    Filipa L Cardoso

    Full Text Available BACKGROUND: Sepsis and jaundice are common conditions in newborns that can lead to brain damage. Though lipopolysaccharide (LPS is known to alter the integrity of the blood-brain barrier (BBB, little is known on the effects of unconjugated bilirubin (UCB and even less on the joint effects of UCB and LPS on brain microvascular endothelial cells (BMEC. METHODOLOGY/PRINCIPAL FINDINGS: Monolayers of primary rat BMEC were treated with 1 µg/ml LPS and/or 50 µM UCB, in the presence of 100 µM human serum albumin, for 4 or 24 h. Co-cultures of BMEC with astroglial cells, a more complex BBB model, were used in selected experiments. LPS led to apoptosis and UCB induced both apoptotic and necrotic-like cell death. LPS and UCB led to inhibition of P-glycoprotein and activation of matrix metalloproteinases-2 and -9 in mono-cultures. Transmission electron microscopy evidenced apoptotic bodies, as well as damaged mitochondria and rough endoplasmic reticulum in BMEC by either insult. Shorter cell contacts and increased caveolae-like invaginations were noticeable in LPS-treated cells and loss of intercellular junctions was observed upon treatment with UCB. Both compounds triggered impairment of endothelial permeability and transendothelial electrical resistance both in mono- and co-cultures. The functional changes were confirmed by alterations in immunostaining for junctional proteins β-catenin, ZO-1 and claudin-5. Enlargement of intercellular spaces, and redistribution of junctional proteins were found in BMEC after exposure to LPS and UCB. CONCLUSIONS: LPS and/or UCB exert direct toxic effects on BMEC, with distinct temporal profiles and mechanisms of action. Therefore, the impairment of brain endothelial integrity upon exposure to these neurotoxins may favor their access to the brain, thus increasing the risk of injury and requiring adequate clinical management of sepsis and jaundice in the neonatal period.

  18. Building Better Biology Undergraduates through Information Literacy Integration

    Science.gov (United States)

    Winterman, Brian

    2009-01-01

    Biology undergraduates at Indiana University have often been expected to find information for course exercises or written reports, but the skills necessary to do so are not taught consistently in the curriculum. Other efforts described in the literature have been successful in teaching information literacy skills, but not always in a way that is…

  19. Vertical Integration: Corporate Strategy in the Information Industry.

    Science.gov (United States)

    Davenport, Lizzie; Cronin, Blaise

    1986-01-01

    Profiles the corporate strategies of three sectors of the information industry and the trend toward consolidation in electronic publishing. Three companies' acquisitions are examined in detail using qualitative data from information industry columns and interpreting it on the basis of game theory. (EM)

  20. Ontologies in information integration within multimedia presentation generation

    NARCIS (Netherlands)

    Salas Enrech, J.

    2005-01-01

    Nowadays an enormous quantity of heterogeneous and distributed information is stored in the current World Wide Web. Sharing of different information sources is needed. Recently the word Semantic Web has become very popular. The Semantic Web provides a common framework that allows data to be shared a

  1. Towards a Brain-inspired Information Processing System: Modelling and Analysis of Synaptic Dynamics

    OpenAIRE

    El-Laithy, Karim

    2012-01-01

    Biological neural systems (BNS) in general and the central nervous system (CNS) specifically exhibit a strikingly efficient computational power along with an extreme flexible and adaptive basis for acquiring and integrating new knowledge. Acquiring more insights into the actual mechanisms of information processing within the BNS and their computational capabilities is a core objective of modern computer science, computational sciences and neuroscience. Among the main reasons of...

  2. Informational connectivity: identifying synchronized discriminability of multi-voxel patterns across the brain.

    Science.gov (United States)

    Coutanche, Marc N; Thompson-Schill, Sharon L

    2013-01-01

    The fluctuations in a brain region's activation levels over a functional magnetic resonance imaging (fMRI) time-course are used in functional connectivity (FC) to identify networks with synchronous responses. It is increasingly recognized that multi-voxel activity patterns contain information that cannot be extracted from univariate activation levels. Here we present a novel analysis method that quantifies regions' synchrony in multi-voxel activity pattern discriminability, rather than univariate activation, across a timeseries. We introduce a measure of multi-voxel pattern discriminability at each time-point, which is then used to identify regions that share synchronous time-courses of condition-specific multi-voxel information. This method has the sensitivity and access to distributed information that multi-voxel pattern analysis enjoys, allowing it to be applied to data from conditions not separable by univariate responses. We demonstrate this by analyzing data collected while people viewed four different types of man-made objects (typically not separable by univariate analyses) using both FC and informational connectivity (IC) methods. IC reveals networks of object-processing regions that are not detectable using FC. The IC results support prior findings and hypotheses about object processing. This new method allows investigators to ask questions that are not addressable through typical FC, just as multi-voxel pattern analysis (MVPA) has added new research avenues to those addressable with the general linear model (GLM).

  3. Restructuring Consciousness –the Psychedelic State in Light of Integrated Information Theory

    Directory of Open Access Journals (Sweden)

    Andrew Robert Gallimore

    2015-06-01

    Full Text Available The psychological state elicited by the classic psychedelics drugs, such as LSD and psilocybin, is one of the most fascinating and yet least understood states of consciousness. However, with the advent of modern functional neuroimaging techniques, the effect of these drugs on neural activity is now being revealed, although many of the varied phenomenological features of the psychedelic state remain challenging to explain. Integrated information theory (IIT is one of the foremost contemporary theories of consciousness, providing a mathematical formalization of both the quantity and quality of conscious experience. This theory can be applied to all known states of consciousness, including the psychedelic state. Using the results of functional neuroimaging data on the psychedelic state, the effects of psychedelic drugs on both the level and structure of consciousness can be explained in terms of the conceptual framework of IIT. This new IIT-based model of the psychedelic state provides an explanation for many of its phenomenological features, including unconstrained cognition, alterations in the structure and meaning of concepts and a sense of expanded awareness. This model also suggests that whilst cognitive flexibility, creativity, and imagination are enhanced during the psychedelic state, this occurs at the expense of cause-effect information, as well as degrading the brain’s ability to organize, categorize, and differentiate the constituents of conscious experience. Furthermore, the model generates specific predictions that can be tested using a combination of functional imaging techniques, as has been applied to the study of levels of consciousness during anesthesia and following brain injury.

  4. Polyploidization of glia in neural development links tissue growth to blood-brain barrier integrity.

    Science.gov (United States)

    Unhavaithaya, Yingdee; Orr-Weaver, Terry L

    2012-01-01

    Proper development requires coordination in growth of the cell types composing an organ. Many plant and animal cells are polyploid, but how these polyploid tissues contribute to organ growth is not well understood. We found the Drosophila melanogaster subperineurial glia (SPG) to be polyploid, and ploidy is coordinated with brain mass. Inhibition of SPG polyploidy caused rupture of the septate junctions necessary for the blood-brain barrier. Thus, the increased SPG cell size resulting from polyploidization is required to maintain the SPG envelope surrounding the growing brain. Polyploidization likely is a conserved strategy to coordinate tissue growth during organogenesis, with potential vertebrate examples.

  5. Integrating Geo-information Models with Participatory Approaches

    NARCIS (Netherlands)

    Nidumolu, U.B.

    2004-01-01

    In this thesis we demonstrate some methods to integrate biophysical data with socio-economic variables with applications in agricultural land use analysis. Part of Nizamabad District of Andhra Pradesh State in India is considered for developing and testing the methods developed. First the study area

  6. Enhancing Knowledge Integration: An Information System Capstone Project

    Science.gov (United States)

    Steiger, David M.

    2009-01-01

    This database project focuses on learning through knowledge integration; i.e., sharing and applying specialized (database) knowledge within a group, and combining it with other business knowledge to create new knowledge. Specifically, the Tiny Tots, Inc. project described below requires students to design, build, and instantiate a database system…

  7. Vertical integration and information sharing — an empirical investigation in the German apparel industry

    OpenAIRE

    Goebel, Christoph; Krasnova, Hanna; Syllwasschy, Henning; Günther, Oliver

    2009-01-01

    Despite the astounding success of the fast fashion retailers, the management practices leading to these results have not been subject to extensive research so far. Given this background, we analyze the impact of information sharing and vertical integration on the performance of 51 German apparel companies. We find that the positive impact of vertical integration is mediated by information sharing, i.e. that the ability to improve the information flow is a key success factor of vertically inte...

  8. Information Worlds and Interpretive Practices: Toward an Integration of Domains

    Directory of Open Access Journals (Sweden)

    Burnett, Gary

    2015-09-01

    Full Text Available This article proposes an interwoven three-part framework for conceptualizing and analyzing the role of information in human activities, melding the cognitive and affective domain of the individual, the collective domain of the social, and the domain of signification and communication practices, focusing on the ways in which individual characteristics, social context and interaction, and signification and representation work together to form information behavior. The article presents an overview of each of these three domains and discusses the ways in which they are intertwined. It argues that considering the three domains in relation to each other offers a holistic framework within which to consider the ways in which information - needs, behavior, creation, and use - depends simultaneously on all three. It concludes by offering a brief discussion of the implications of the framework for information services, including (but not limited to libraries.

  9. Experimental and causal view on information integration in autonomous agents

    OpenAIRE

    Geiger, Philipp; Hofmann, Katja; Schölkopf, Bernhard

    2016-01-01

    The amount of digitally available but heterogeneous information about the world is remarkable, and new technologies such as self-driving cars, smart homes or the "internet of things" will further increase it. In this paper we examine certain aspects of the problem of how such heterogeneous information can be harnessed by intelligent agents. We first discuss potentials and limitations of some existing approaches, followed by two investigations. The focus of the first investigation is on using ...

  10. Integrating methods from IR and QA for geographic information retrieval

    OpenAIRE

    LEVELING, JOHANNES; Hartrumpf, Sven

    2009-01-01

    This paper describes the participation of GIRSA at Geo- CLEF 2008, the geographic information retrieval task at CLEF. GIRSA combines information retrieval (IR) on geographically annotated data and question answering (QA) employing query decomposition. For the monolingual German experiments, several parameter settings were varied: using a single index or separate indexes for content and geographic annotation, using complex term weighting, adding location names from the topic narrative, a...

  11. Integrating Information Services for Managing Regulations in International Maritime Transportation

    OpenAIRE

    Chlomoudis, Constantine; Kostagiolas, Petros A.

    2013-01-01

    Nowadays, decision making in maritime transportation includes information for obligatory or not regulations related to quality, safety and security. Decisions of this nature have a significant effect on the actual cost of quality, safety and security in maritime transport. Although regulatory information is important, it is rather fragmented due to the internationalized nature of maritime operations as well as because it involves various private and public sector standardization agencies. In ...

  12. Combined motor disturbances following severe traumatic brain injury: an integrative long-term treatment approach.

    Science.gov (United States)

    Keren, O; Reznik, J; Groswasser, Z

    2001-07-01

    Patients surviving severe traumatic brain injury (TBI) often suffer from residual impairments in motor control, communication skills, cognition and social behaviour. These distinctly hamper their capability to return to their 'pre-trauma' activity. Comprehensive and integrated rehabilitation programmes initiate, during the acute phase, a prolonged treatment process which starts at the most sophisticated medical systems. There is no clear end point for the treatment of these patients, since the recovery process and the rehabilitation activity may continue for years, even after patients return home to live with their families. The inherent inability to make a firm early prediction regarding outcome of patients and the late appearance of additional symptoms stress the need for a comprehensive close long-term follow-up. The following presentation concerns the description of the treatment strategy and long-term improvement of a 22-year-old male who suffered from very severe TBI. On admission to the emergency room, he was in the decerebrated position and his Glasgow Coma Scale (GCS) was at the lowest (3). The focus of this presentation is on the recovery of motor function. The initial motor disabilities included weakness in all four limbs, in particular left hemiplegia, and right hemiparesis with severe bilateral ataxic elements and a marked tremor of the right arm. Range of motion was limited in hips, and he suffered from stiff trunk and neck. Goals of physiotherapy were directed towards improving range of motion (ROM) and active movement. Casting, use of orthoses, biofeedback, hydrotherapy, hippotherapy, medication and nerve blocks for reducing spasticity were timely applied during the process. The motor improvement in this very severe TBI patient who is now over 3 years post-injury still continues and has a functional meaning. He has succeeded in being able to stand up by himself from a chair and is able to walk unaided and without orthoses for very short distances

  13. 建立Web信息集成系统%Building Web Information Integration Systems

    Institute of Scientific and Technical Information of China (English)

    蔡俊杰; 孙建伶; 董金祥

    2001-01-01

    The Web is based on a browsing paradigm that makes it difficult to retrieve compositive information from multiple sites. Web information integration systems,as a sophisticated solution to this problem,enable easy retrieval for comprehensive information from the Web. Based on a prototype we have implemented a Web information integration system,which is called Aoede. This paper introduces the design and implementation of the systems by analyaing many of its main issues,including architecture ,information resources ,wrapper,mediator ,query optimization and execution. Difficult problems are highlighted and respective possible solutions to them are also given.

  14. Predicting ramps by integrating different sorts of information

    Science.gov (United States)

    Hirata, Yoshito; Aihara, Kazuyuki

    2016-05-01

    Although predicting sudden rapid changes of renewable energy outputs is useful for maintaining the stability of power grids with many renewable energy resources, the prediction is difficult so far. Here we list causes for the uncertainty for our prediction, quantify them, and forecast whether such sudden rapid changes are likely to happen or not by integrating their quantifications with a method of machine learning. We test the proposed forecast using a toy model and real datasets of solar irradiance and wind speed.

  15. Integrating Geo-information Models with Participatory Approaches

    OpenAIRE

    Nidumolu, U.B.

    2004-01-01

    In this thesis we demonstrate some methods to integrate biophysical data with socio-economic variables with applications in agricultural land use analysis. Part of Nizamabad District of Andhra Pradesh State in India is considered for developing and testing the methods developed. First the study area is stratified as a pre-field work exercise for a focused land use analysis. Stratification of the land into categories on the basis of land use analysis objectives, such as crop management improve...

  16. Adopting Context Mediation in Information Integration to Resolve Semantic Heterogeneity in Distributed Environment

    Institute of Scientific and Technical Information of China (English)

    ZHOU Jian-fang; XU Hai-yin; LU Zheng-ding

    2008-01-01

    Ontology-based semantic information integration resolve the schema-level heterogeneity and part of data level heterogeneity between distributed data sources. But it is ubiquitous that schema semantics of information is identical while the interpretation of it varies with different context, and ontology-based semantic information integration can not resolve this context heterogeneity. By introducing context representation and context mediation to ontology based information integration, the attribute-level context heterogeneity can be detected and reconciled automatically, and hence a complete solution for semantic heterogeneity is formed. Through a concrete example, the context representation and the process in which the attribute-level context heterogeneity is reconciled during query processing are presented. This resolution can make up the deficiency of schema mapping based semantic information integration. With the architecture proposed in this paper the semantic heterogeneity solution is adaptive and extensive.

  17. Implementation of integrated heterogeneous electronic electrocardiography data into Maharaj Nakorn Chiang Mai Hospital Information System.

    Science.gov (United States)

    Khumrin, Piyapong; Chumpoo, Pitupoom

    2016-03-01

    Electrocardiography is one of the most important non-invasive diagnostic tools for diagnosing coronary heart disease. The electrocardiography information system in Maharaj Nakorn Chiang Mai Hospital required a massive manual labor effort. In this article, we propose an approach toward the integration of heterogeneous electrocardiography data and the implementation of an integrated electrocardiography information system into the existing Hospital Information System. The system integrates different electrocardiography formats into a consistent electrocardiography rendering by using Java software. The interface acts as middleware to seamlessly integrate different electrocardiography formats. Instead of using a common electrocardiography protocol, we applied a central format based on Java classes for mapping different electrocardiography formats which contains a specific parser for each electrocardiography format to acquire the same information. Our observations showed that the new system improved the effectiveness of data management, work flow, and data quality; increased the availability of information; and finally improved quality of care.

  18. Turning Data into Information: Assessing and Reporting GIS Metadata Integrity Using Integrated Computing Technologies

    Science.gov (United States)

    Mulrooney, Timothy J.

    2009-01-01

    A Geographic Information System (GIS) serves as the tangible and intangible means by which spatially related phenomena can be created, analyzed and rendered. GIS metadata serves as the formal framework to catalog information about a GIS data set. Metadata is independent of the encoded spatial and attribute information. GIS metadata is a subset of…

  19. Integrating Instructional Technology with Information Technology and Its Implications for Designing Electronic Learning Systems.

    Science.gov (United States)

    Abdelraheem, Ahmed Yousif

    2005-01-01

    In this paper the concepts of technology, instructional technology, and information technology are presented. The integration of instructional technology, and information technology is established and its implications for electronic learning systems design are discussed. One can say that: information and instructional designers can design…

  20. A Study on Information Technology Integrated Guided Iscovery Instruction towards Students' Learning Achievement and Learning Retention

    Science.gov (United States)

    Shieh, Chich-Jen; Yu, Lean

    2016-01-01

    In the information explosion era with constant changes of information, educators have promoted various effective learning strategies for students adapting to the complex modern society. The impact and influence of traditional teaching method have information technology integrated modern instruction and science concept learning play an important…

  1. Brain Basics

    Medline Plus

    Full Text Available ... mainly involved in controlling movement and aiding the flow of information to the front of the brain, ... the neuron will fire. This enhances the electrical flow among brain cells required for normal function and ...

  2. Developing Integrated Taxonomies for a Tiered Information Architecture

    Science.gov (United States)

    Dutra, Jayne E.

    2006-01-01

    This viewgraph presentation reviews the concept of developing taxonomies for an information architecture. In order to assist people in accessing information required to access information and retrieval, including cross repository searching, a system of nested taxonomies is being developed. Another facet of this developmental project is collecting and documenting attributes about people, to allow for several uses: access management, i.e., who are you and what can you see?; targeted content delivery i.e., what content helps you get your work done?; w ork force planning i.e., what skill sets do you have that we can appl y to work?; and IT Services i.e., How can we provision you with the proper IT services?

  3. [Integrating information about imaging biomarkers into structured radiology reports].

    Science.gov (United States)

    Pomar-Nadal, A; Pérez-Castillo, C; Alberich-Bayarri, A; García-Martí, G; Sanz Requena, R; Martí-Bonmatí, L

    2013-01-01

    Imaging biomarkers describe objective characteristics that are related to normal biological processes, diseases, or the response to treatment. They enable radiologists to incorporate into their reports data about structure, function, and tissue components. With the aim of taking maximum advantage of the quantification of medical images, we present a procedure to integrate imaging biomarkers into radiological reports, bringing the new paradigm of personal medicine closer to radiological workflow. In this manner, the results of quantification can complement traditional radiological diagnosis, improving accuracy and the evaluation of the efficacy of treatments. A more personalized, standardized, structured radiological report should include quantitative analyses to complement conventional qualitative reporting in selected cases.

  4. Integrated information management applying successful industrial concepts in IT

    CERN Document Server

    Zarnekow, Rüdiger; Pilgram, Uwe

    2006-01-01

    Addresses the challenges facing information management (IM) and presents practical solution propositions. Divided into three parts, this book addresses IT managers. It also presents results of real pilot projects, which were implemented at collaborating companies of the Competence Center for IIM at the University of St Gallen.

  5. Integrated processing of ECG's in a hospital information system

    NARCIS (Netherlands)

    Helder, J.C.; Schram, P.H.; Verwey, H.; Meijler, F.L.; Robles de Medina, E.O.

    1979-01-01

    The ECG handling in the University Hospital of Utrecht is composed by a system consisting of acquisition and storage of ECG signals, computer analysis, data management, and storage of readings in a patient data base. The last two modules are part of a Hospital Information System (HIS). The modular s

  6. Operation and maintenance integrated information platform for CEFR

    International Nuclear Information System (INIS)

    The paper carries out effective study on information resources such as MIS, SIS and EAM, and constructs CEFR operation resources management system; it also promotes the establishment of management model for the standardized operation of CEFR by taking informationization as the basis. (authors)

  7. Exploration into technical procedures for vertical integration. [information systems

    Science.gov (United States)

    Michel, R. J.; Maw, K. D.

    1979-01-01

    Issues in the design and use of a digital geographic information system incorporating landuse, zoning, hazard, LANDSAT, and other data are discussed. An eleven layer database was generated. Issues in spatial resolution, registration, grid versus polygonal structures, and comparison of photointerpreted landuse to LANDSAT land cover are examined.

  8. Exploitation of Unintentional Information Leakage from Integrated Circuits

    Science.gov (United States)

    Cobb, William E.

    2011-01-01

    The information leakage of electronic devices, especially those used in cryptographic or other vital applications, represents a serious practical threat to secure systems. While physical implementation attacks have evolved rapidly over the last decade, relatively little work has been done to allow system designers to effectively counter the…

  9. Integrating climatic information in water resources modelling and optimisation

    DEFF Research Database (Denmark)

    Gelati, Emiliano

    Metoder til integering af klimatisk information i vandressource-modellering -optimering er udviklet og demonstreret i to eksempelvise anvendelser. I modelanvendelserne er variationen af de lokale hydrologiske variable betinget af værdierne af klimatiske variable på stor skala, svarende til klimab...

  10. Program-Integrated Information Literacy Instruction for Online Graduate Students

    Science.gov (United States)

    Kumar, Swapna; Ochoa, Marilyn

    2012-01-01

    Academic librarians often provide information literacy support for specific courses or topics in the form of research guides, one-shot training sessions, library orientations, or by embedding library content into online courses. Less frequently, they provide continuous program-level support on-campus or online. This paper highlights the value of…

  11. Integrating information seeking and information structuring: spatial hypertext as an interface to the digital library.

    OpenAIRE

    Buchanan, George

    2004-01-01

    Information seeking is the task of finding documents that satisfy the information needs of a person or organisation. Digital Libraries are one means of providing documents to meet the information needs of their users - i.e. as a resource to support information seeking. Therefore, research into the activity of information seeking is key to the development and understanding of digital libraries. Information structuring is the activity of organising documents found in the process of informat...

  12. INTEGRATED REPORTING AS A BASIS FOR ESSENTIALITY INCREASING OF ACCOUNTING INFORMATION

    Directory of Open Access Journals (Sweden)

    Rybyantseva M. S.

    2016-06-01

    Full Text Available Basic information files that revealing external users with information about the organization are the accounting financial statements. Reforms of the national accounting led to reduction of reporting forms informativeness and removal of transcripts. There was an obvious need for the formation of statements that reveals a wider range of indicators. Thus, integrated reporting can be such information array. Integrated reporting is the accounting tool, the information array about the organization. Integrated reporting includes such positions, as: a set of indicators characterized the economic, social and environmental aspects of the entity; the corporate management system that allows interested users to track the process of entity’s value creation and to form an opinion about its economic value. This type of reporting will be able to shape in accordance with the proposed methodological document "Rules of integrated reporting formation". This document assumes the following structure of integrated reporting: relevant information about the organization, historical information, environmental information, social information, innovation, internal control system, decoding of the financial statements, analysis of financial condition and financial results

  13. Information Technology Integration in Higher Education: A Novel Approach for Impact Assessment

    Directory of Open Access Journals (Sweden)

    Abdulkareem Al-Alwani

    2014-12-01

    Full Text Available In the current technological world of Information services, academic systems are also in the process of adapting information technology solutions. Information systems vary for different applications and specifically in academia domain, a range of information systems are available for different institutions worldwide. Integration of e-learning can optimize implementation of computer-based and computer-assisted educational processes at all levels. Therefore it is imperative to assess and evaluate integration of these information systems because they have serious impact on e-learning processes. In this study an instrument survey is presented for evaluating integration of information technology systems and practices in an educational environment. Survey is constructed using descriptive questions related to information technology tools to assess qualitative impact and usage of such tools. Critical feedback, analysis and suggestions from 25 educationists played a pivotal role in finalizing proposed survey questionnaire. A subsequent test evaluation by teachers and students is also carried out to assess adequate utilization of information systems in Yanbu University College. The results showed that feedback using this survey can help in identifying technological gaps and facilitate effective integration of information technology in an educational environment. Survey instrument proposed in this research can greatly enhance integration of IT tools as it can identify shortcomings by collecting statistical data from feedback of both faculty and students. Solution to these problems is deterministic and can be easily implemented to optimize overall performance of e-learning systems.

  14. Multimodal imaging utilising integrated MR-PET for human brain tumour assessment

    Energy Technology Data Exchange (ETDEWEB)

    Neuner, Irene [Institute of Neuroscience and Medicine 4, INM 4, Juelich (Germany); RWTH Aachen University, Department of Psychiatry, Psychotherapy and Psychosomatics, Aachen (Germany); JARA-BRAIN-Translational Medicine, Aachen (Germany); Kaffanke, Joachim B. [Institute of Neuroscience and Medicine 4, INM 4, Juelich (Germany); MR-Transfer e.K., Wuppertal (Germany); Langen, Karl-Josef; Kops, Elena Rota; Tellmann, Lutz; Stoffels, Gabriele; Weirich, Christoph; Filss, Christian; Scheins, Juergen; Herzog, Hans [Institute of Neuroscience and Medicine 4, INM 4, Juelich (Germany); Shah, N. Jon [Institute of Neuroscience and Medicine 4, INM 4, Juelich (Germany); RWTH Aachen University, Department of Neurology, Aachen (Germany); JARA-BRAIN-Translational Medicine, Aachen (Germany)

    2012-12-15

    The development of integrated magnetic resonance (MR)-positron emission tomography (PET) hybrid imaging opens up new horizons for imaging in neuro-oncology. In cerebral gliomas the definition of tumour extent may be difficult to ascertain using standard MR imaging (MRI) only. The differentiation of post-therapeutic scar tissue, tumour rests and tumour recurrence is challenging. The relationship to structures such as the pyramidal tract to the tumour mass influences the therapeutic neurosurgical approach. The diagnostic information may be enriched by sophisticated MR techniques such as diffusion tensor imaging (DTI), multiple-volume proton MR spectroscopic imaging (MRSI) and functional MRI (fMRI). Metabolic imaging with PET, especially using amino acid tracers such as {sup 18}F-fluoroethyl-l-tyrosine (FET) or {sup 11}C-l-methionine (MET) will indicate tumour extent and response to treatment. The new technologies comprising MR-PET hybrid systems have the advantage of providing comprehensive answers by a one-stop-job of 40-50 min. The combined approach provides data of different modalities using the same iso-centre, resulting in optimal spatial and temporal realignment. All images are acquired exactly under the same physiological conditions. We describe the imaging protocol in detail and provide patient examples for the different imaging modalities such as FET-PET, standard structural imaging (T1-weighted, T2-weighted, T1-weighted contrast agent enhanced), DTI, MRSI and fMRI. (orig.)

  15. Multimodal imaging utilising integrated MR-PET for human brain tumour assessment

    International Nuclear Information System (INIS)

    The development of integrated magnetic resonance (MR)-positron emission tomography (PET) hybrid imaging opens up new horizons for imaging in neuro-oncology. In cerebral gliomas the definition of tumour extent may be difficult to ascertain using standard MR imaging (MRI) only. The differentiation of post-therapeutic scar tissue, tumour rests and tumour recurrence is challenging. The relationship to structures such as the pyramidal tract to the tumour mass influences the therapeutic neurosurgical approach. The diagnostic information may be enriched by sophisticated MR techniques such as diffusion tensor imaging (DTI), multiple-volume proton MR spectroscopic imaging (MRSI) and functional MRI (fMRI). Metabolic imaging with PET, especially using amino acid tracers such as 18F-fluoroethyl-l-tyrosine (FET) or 11C-l-methionine (MET) will indicate tumour extent and response to treatment. The new technologies comprising MR-PET hybrid systems have the advantage of providing comprehensive answers by a one-stop-job of 40-50 min. The combined approach provides data of different modalities using the same iso-centre, resulting in optimal spatial and temporal realignment. All images are acquired exactly under the same physiological conditions. We describe the imaging protocol in detail and provide patient examples for the different imaging modalities such as FET-PET, standard structural imaging (T1-weighted, T2-weighted, T1-weighted contrast agent enhanced), DTI, MRSI and fMRI. (orig.)

  16. Integrating radiology information systems with healthcare delivery environments using DICOM and HL7 standards.

    Science.gov (United States)

    Blazona, Bojan; Koncar, Miroslav

    2006-01-01

    Integration based on open standards, in order to achieve communication and information interoperability, is one of the key aspects of modern health care information systems. Interoperability presents data and communication layer interchange. In this context we identified the HL7 standard as the world's leading medical Information and communication technology (ICT) standard for the business layer in healthcare information systems and we tried to explore the ability to exchange clinical documents with minimal integrated healthcare information systems (IHCIS) change. We explored HL7 Clinical Document Architecture (CDA) abilities to achieve radiology information system integration (DICOM) to IHCIS (HL7). We introduced the use of WADO service interconnection to IHCIS and finally CDA rendering in widely used Internet explorers. PMID:17108539

  17. Art Therapy for Individuals with Traumatic Brain Injury: A Comprehensive Neurorehabilitation-Informed Approach to Treatment

    Science.gov (United States)

    Kline, Tori

    2016-01-01

    I describe an approach to art therapy treatment for survivors of traumatic brain injury developed at a rehabilitation facility for adults that serves inpatient, outpatient, and long-term residential clients. This approach is based on a review of the literature on traumatic brain injury, comprehensive neurorehabilitation, brain plasticity, and art…

  18. Understanding and Exploiting Information Spreading and Integrating Technologies

    Institute of Scientific and Technical Information of China (English)

    Petter Holme; Mikael Huss

    2011-01-01

    Our daily life leaves an increasing amount of digital traces,footprints that are improving our lives.Data-mining tools,like recommender systems,convert these traces to information for aiding decisions in an ever-increasing number of areas in our lives.The feedback loop from what we do,to the information this produces,to decisions what to do next,will likely be an increasingly important factor in human behavior on all levels from individuals to societies.In this essay,we review some effects of this feedback and discuss how to understand and exploit them beyond mapping them on more well-understood phenomena.We take examples from models of spreading phenomena in social media to argue that analogies can be deceptive,instead we need to fresh approaches to the new types of data,something we exemplify with promising applications in medicine.

  19. Information technology adoption in SMEs: an integrated framework

    OpenAIRE

    Nguyen, Thuyuyen

    2009-01-01

    Purpose – The aim of this research is to gain a clearer understanding of information technology (IT) adoption in small and medium-sized enterprises (SMEs) by analysing and contrasting the current literature. Whilst describing how and why SMEs acquire IT, the paper also seeks to highlight the enablers as well as the inhibitors that influence the adoption process. Design/methodology/approach – The method was a review of literature including empirical research and case studies related to IT...

  20. Integrating "Free" Word Order Syntax and Information Structure

    OpenAIRE

    Hoffman, Beryl

    1995-01-01

    This paper describes a combinatory categorial formalism called Multiset-CCG that can capture the syntax and interpretation of ``free'' word order in languages such as Turkish. The formalism compositionally derives the predicate-argument structure and the information structure (e.g. topic, focus) of a sentence in parallel, and uniformly handles word order variation among the arguments and adjuncts within a clause, as well as in complex clauses and across clause boundaries.

  1. Integration of Heterogeneous Information Sources into a Knowledge Resource Management System for Lifelong Learning

    NARCIS (Netherlands)

    Demidova, Elena; Ternier, Stefaan; Olmedilla, Daniel; Duval, Erik; Dicerto, Michele; Stefanov, Krassen; Sacristán, Naiara

    2007-01-01

    Demidova, E., Ternier, S., Olmedilla, D., Duval, E., Dicerto, M., Stefanov, K., et al. (2007). Integration of Heterogeneous Information Sources into a Knowledge Resource Management System for Lifelong. TENCompetence Workshop on Service Oriented Approaches and Lifelong Competence Development Infrastr

  2. Wiki-Based Data and Information Integration (WikiDI2) System Project

    Data.gov (United States)

    National Aeronautics and Space Administration — The proposed innovation is: A data and information integration (DI2) system built from the methods and tools used to create Wiki websites. Wiki (Hawaiian for...

  3. Research on application information system integration platform in medicine manufacturing enterprise.

    Science.gov (United States)

    Deng, Wu; Zhao, Huimin; Zou, Li; Li, Yuanyuan; Li, Zhengguang

    2012-08-01

    Computer and information technology popularizes in the medicine manufacturing enterprise for its potentials in working efficiency and service quality. In allusion to the explosive data and information of application system in current medicine manufacturing enterprise, we desire to propose a novel application information system integration platform in medicine manufacturing enterprise, which based on a combination of RFID technology and SOA, to implement information sharing and alternation. This method exploits the application integration platform across service interface layer to invoke the RFID middleware. The loose coupling in integration solution is realized by Web services. The key techniques in RFID event components and expanded role-based security access mechanism are studied in detail. Finally, a case study is implemented and tested to evidence our understanding on application system integration platform in medicine manufacturing enterprise.

  4. Integrated flood disaster management and spatial information: Case studies of Netherlands and India

    NARCIS (Netherlands)

    Zlatanova, S.; Ghawana, T.; Kaur, A.; Neuvel, J.M.M.

    2014-01-01

    Spatial Information is an integral part of flood management practices which include risk management & emergency response processes. Although risk & emergency management activities have their own characteristics, for example, related to the time scales, time pressure, activities & actors involved, it

  5. Permit Compliance System (PCS) and Integrated Compliance Information System (ICIS) Widget

    Data.gov (United States)

    U.S. Environmental Protection Agency — The Permit Compliance System (PCS) and Integrated Compliance Information System (ICIS) widget allows users to enter a specific geography and retrieve companies that...

  6. An Inspection Information Integration System of CAD and CMM

    Institute of Scientific and Technical Information of China (English)

    WANG Junying; WANG Jianmei

    2006-01-01

    Manual definition of inspection feature in Coordinate Measuring Machines (CMM) is time-consuming and error-potential. Since CAD model contains all design data, an integration system of CAD/CMM is constructed to automate above process. First, tolerance feature and its attributes, including tolerance type, value and tag of related geometry, are extracted from CAD model and written to QDAS file, based on feature technology. The tags are then added as attribute to related geometry in CAD model. Thereby they can be automatically remarked in the parameter list of their corresponding geometric item when exporting STEP file. At last, both STEP and QDAS file are imported to CMM system. Based on the mapping between geometric and tolerance feature in neutral files, inspection features can be recognized by CMM without manual interruption. The system has been implemented on Unigraphics platform, and proved to applicable for all types of tolerance and geometry.

  7. Geographic Information Systems for the Regional Integration of Renewable Energies

    International Nuclear Information System (INIS)

    This report is based on the project: The GIS in the regional integration of Renewable Energies for decentralised electricity production; developed by CIEMAT (Spanish Energy Research Centre) and UPM (Polytechnic University of Madrid, Spain) since 1997. The objective of this project is to analyse, evaluate and improve the GIS methodologies for application in RE and how GIS can aid in the evaluation and simulation of influence of technical, socio economical and geographical parameters. This project begin with the review of SOLARGIS methodology. SOLARGIS was developed by an european research team (included CIEMAT) in the frame of JOULE II Programme. In the first place this report described the state of the art in the application of GIS to Renewable Energies. In second place, the SOLARGIS review tasks and the application of this new product to Lorca (Murcia Region in Spain). Finally, the report describes the methodology for the spatial sensibility analysis. (Author) 24 refs

  8. Internationalisation of information services for publishers' open access policies: the DINI multilingual integration layer.

    Science.gov (United States)

    Scholze, Frank

    2008-07-28

    It is essential for the strategy of open access self-archiving that scientific authors are given comprehensive information on publisher copyright policies. DINI, the German Initiative for Networked Information, has developed a German (and potentially multilingual) interface to the English SHERPA/RoMEO service to provide additional information on German publishers' open access policies. As a next step, this interface was enhanced to an integration layer combining different sources on publisher copyright policies. This integration layer can be used in many different contexts. Together with the SHERPA/RoMEO team, DINI aims to build an international support structure for open access information.

  9. Gulf of Mexico Integrated Science - Tampa Bay Study - Data Information Management System (DIMS)

    Science.gov (United States)

    Johnston, James

    2004-01-01

    The Tampa Bay Integrated Science Study is an effort by the U.S. Geological Survey (USGS) that combines the expertise of federal, state and local partners to address some of the most pressing ecological problems of the Tampa Bay estuary. This project serves as a template for the application of integrated research projects in other estuaries in the Gulf of Mexico. Efficient information and data distribution for the Tampa Bay Study has required the development of a Data Information Management System (DIMS). This information system is being used as an outreach management tool, providing information to scientists, decision makers and the public on the coastal resources of the Gulf of Mexico.

  10. Internationalisation of information services for publishers' open access policies: the DINI multilingual integration layer

    Directory of Open Access Journals (Sweden)

    Scholze Frank

    2008-07-01

    Full Text Available Abstract It is essential for the strategy of open access self-archiving that scientific authors are given comprehensive information on publisher copyright policies. DINI, the German Initiative for Networked Information, has developed a German (and potentially multilingual interface to the English SHERPA/RoMEO service to provide additional information on German publishers' open access policies. As a next step, this interface was enhanced to an integration layer combining different sources on publisher copyright policies. This integration layer can be used in many different contexts. Together with the SHERPA/RoMEO team, DINI aims to build an international support structure for open access information.

  11. Information security architecture an integrated approach to security in the organization

    CERN Document Server

    Killmeyer, Jan

    2000-01-01

    An information security architecture is made up of several components. Each component in the architecture focuses on establishing acceptable levels of control. These controls are then applied to the operating environment of an organization. Functionally, information security architecture combines technical, practical, and cost-effective solutions to provide an adequate and appropriate level of security.Information Security Architecture: An Integrated Approach to Security in the Organization details the five key components of an information security architecture. It provides C-level executives

  12. The integrated web service and genome database for agricultural plants with biotechnology information

    Science.gov (United States)

    Kim, ChangKug; Park, DongSuk; Seol, YoungJoo; Hahn, JangHo

    2011-01-01

    The National Agricultural Biotechnology Information Center (NABIC) constructed an agricultural biology-based infrastructure and developed a Web based relational database for agricultural plants with biotechnology information. The NABIC has concentrated on functional genomics of major agricultural plants, building an integrated biotechnology database for agro-biotech information that focuses on genomics of major agricultural resources. This genome database provides annotated genome information from 1,039,823 records mapped to rice, Arabidopsis, and Chinese cabbage. PMID:21887015

  13. Integration of Auditory and Visual Communication Information in the Primate Ventrolateral Prefrontal Cortex

    OpenAIRE

    Sugihara, T.; Diltz, M. D.; Averbeck, B. B.; Romanski, L. M.

    2006-01-01

    The integration of auditory and visual stimuli is crucial for recognizing objects, communicating effectively, and navigating through our complex world. Although the frontal lobes are involved in memory, communication, and language, there has been no evidence that the integration of communication information occurs at the single-cell level in the frontal lobes. Here, we show that neurons in the macaque ventrolateral prefrontal cortex (VLPFC) integrate audiovisual communication stimuli. The mul...

  14. Information Integration in Multiple Cue Judgment: A Division of Labor Hypothesis

    Science.gov (United States)

    Juslin, Peter; Karlsson, Linnea; Olsson, Henrik

    2008-01-01

    There is considerable evidence that judgment is constrained to additive integration of information. The authors propose an explanation of why serial and additive cognitive integration can produce accurate multiple cue judgment both in additive and non-additive environments in terms of an adaptive division of labor between multiple representations.…

  15. Measuring Integration of Information and Communication Technology in Education: An Item Response Modeling Approach

    Science.gov (United States)

    Peeraer, Jef; Van Petegem, Peter

    2012-01-01

    This research describes the development and validation of an instrument to measure integration of Information and Communication Technology (ICT) in education. After literature research on definitions of integration of ICT in education, a comparison is made between the classical test theory and the item response modeling approach for the…

  16. Issues in Integrating Information Technology in Learning and Teaching EFL: The Saudi Experience

    Science.gov (United States)

    Al-Maini, Yousef Hamad

    2013-01-01

    The Saudi education system is facing a climate of change characterized by an interest in integrating new technology and educational approaches to improve teaching and learning. In this climate, the present paper explores the issues in integrating information technology in learning and teaching English as a foreign language (EFL) in government…

  17. Demystifying "free will": the role of contextual information and evidence accumulation for predictive brain activity.

    Science.gov (United States)

    Bode, Stefan; Murawski, Carsten; Soon, Chun Siong; Bode, Philipp; Stahl, Jutta; Smith, Philip L

    2014-11-01

    Novel multivariate pattern classification analyses have enabled the prediction of decision outcomes from brain activity prior to decision-makers' reported awareness. These findings are often discussed in relation to the philosophical concept of "free will". We argue that these studies demonstrate the role of unconscious processes in simple free choices, but they do not inform the philosophical debate. Moreover, these findings are difficult to relate to cognitive decision-making models, due to misleading assumptions about random choices. We review evidence suggesting that sequential-sampling models, which assume accumulation of evidence towards a decision threshold, can also be applied to free decisions. If external evidence is eliminated by the task instructions, decision-makers might use alternative, subtle contextual information as evidence, such as their choice history, that is not consciously monitored and usually concealed by the experimental design. We conclude that the investigation of neural activity patterns associated with free decisions should aim to investigate how decisions are jointly a function of internal and external contexts, rather than to resolve the philosophical "free will" debate. PMID:25452111

  18. Deterministic multivalued logic scheme for information processing and routing in the brain

    CERN Document Server

    Bezrukov, S M

    2009-01-01

    Driven by analogies with state vectors of quantum informatics and noise-based logic, we propose a general scheme and elements of neural circuitry for processing and addressing information in the brain. Specifically, we consider random (e.g., Poissonian) trains of finite-duration spikes, and, using the idealized concept of excitatory and inhibitory synapses, offer a procedure for generating 2^N-1 orthogonal vectors out of N partially overlapping trains (neuro-bits). We then show that these vectors can be used to construct 2^(2^N-1)-1 different superpositions which represent the same number of logic values when carrying or routing information. In quantum informatics the above numbers are the same, however, the present logic scheme is more advantageous because it is deterministic in the sense that the presence of a vector in the spike train is detected by an appropriate coincidence circuit. For this reason it does not require time averaging or repeated measurements of the kind used in standard cross-correlation ...

  19. Demystifying "free will": the role of contextual information and evidence accumulation for predictive brain activity.

    Science.gov (United States)

    Bode, Stefan; Murawski, Carsten; Soon, Chun Siong; Bode, Philipp; Stahl, Jutta; Smith, Philip L

    2014-11-01

    Novel multivariate pattern classification analyses have enabled the prediction of decision outcomes from brain activity prior to decision-makers' reported awareness. These findings are often discussed in relation to the philosophical concept of "free will". We argue that these studies demonstrate the role of unconscious processes in simple free choices, but they do not inform the philosophical debate. Moreover, these findings are difficult to relate to cognitive decision-making models, due to misleading assumptions about random choices. We review evidence suggesting that sequential-sampling models, which assume accumulation of evidence towards a decision threshold, can also be applied to free decisions. If external evidence is eliminated by the task instructions, decision-makers might use alternative, subtle contextual information as evidence, such as their choice history, that is not consciously monitored and usually concealed by the experimental design. We conclude that the investigation of neural activity patterns associated with free decisions should aim to investigate how decisions are jointly a function of internal and external contexts, rather than to resolve the philosophical "free will" debate.

  20. Web-Based Integrated Public Healthcare Information System of Korea: Development and Performance

    OpenAIRE

    Ryu, Seewon; Park, Minsu; Lee, Jaegook; Kim, Sung-Soo; Han, Bum Soo; Mo, Kyoung Chun; Lee, Hyung Seok

    2013-01-01

    Objectives The Web-based integrated public healthcare information system (PHIS) of Korea was planned and developed from 2005 to 2010, and it is being used in 3,501 regional health organizations. This paper introduces and discusses development and performance of the system. Methods We reviewed and examined documents about the development process and performance of the newly integrated PHIS. The resources we analyzed the national plan for public healthcare, information strategy for PHIS, usage ...

  1. Post-error slowing predicts rule-based but not information-integration category learning

    OpenAIRE

    Tam, Helen; Maddox, W. Todd; Huang-Pollock, Cynthia L.

    2013-01-01

    We examine whether error monitoring, operationalized as the degree to which individuals slow down after committing an error (i.e, post-error slowing), is differentially important in the learning of rule-based vs. information-integration category structures. Rule-based categories are most efficiently solved through the application of an explicit verbal strategy (e.g. sort by color). In contrast, information-integration categories are believed to be learned in a trial-by-trial associative manne...

  2. Rule-Based and Information-Integration Category Learning in Normal Aging

    OpenAIRE

    Maddox, W. Todd; Pacheco, Jennifer; Reeves, Maia; Zhu, Bo; Schnyer, David M.

    2010-01-01

    The basal ganglia and prefrontal cortex play critical roles in category learning. Both regions evidence age-related structural and functional declines. The current study examined rule-based and information-integration category learning in a group of older and younger adults. Rule-based learning is thought to involve explicit, frontally mediated processes, whereas information-integration is thought to involve implicit, striatally mediated processes. As a group, older adults showed rule-based a...

  3. Research on Product Information Integrating and Sharing for Dynamic Colla boration

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    Dynamic Collaboration emerges as the new trend of n et working and collaborating work in manufacturing industry, in which product infor mation sharing among allied enterprises plays very important roles in collaborat ing product development. This thesis aims at studying the integrating, contr olling and sharing mode of product information among the heterogeneous and dispe rsed environments through Internet, and proposes the information integrating/sha ring architecture based on the Product Master Model (P...

  4. 12 CFR Appendix E to Part 717 - Interagency Guidelines Concerning the Accuracy and Integrity of Information Furnished to Consumer...

    Science.gov (United States)

    2010-01-01

    ... to consumer reporting agencies; and whether new, additional, or different methods (including... and Integrity of Information Furnished to Consumer Reporting Agencies E Appendix E to Part 717 Banks... Integrity of Information Furnished to Consumer Reporting Agencies The NCUA encourages voluntary...

  5. Integrating resource selection information with spatial capture--recapture

    Science.gov (United States)

    Royle, J. Andrew; Chandler, Richard B.; Sun, Catherine C.; Fuller, Angela K.

    2013-01-01

    1. Understanding space usage and resource selection is a primary focus of many studies of animal populations. Usually, such studies are based on location data obtained from telemetry, and resource selection functions (RSFs) are used for inference. Another important focus of wildlife research is estimation and modeling population size and density. Recently developed spatial capture–recapture (SCR) models accomplish this objective using individual encounter history data with auxiliary spatial information on location of capture. SCR models include encounter probability functions that are intuitively related to RSFs, but to date, no one has extended SCR models to allow for explicit inference about space usage and resource selection.

  6. Workstations for the wellsite; An integrated information management system

    Energy Technology Data Exchange (ETDEWEB)

    Morley, A.R. (Exlog Inc. (US))

    1991-03-01

    This paper describes and innovative management system designed to assist well drilling, engineering, and geological decision makers. The problem of providing powerful and flexible applications without creating complexity has been solved by an intuitive graphical user interface. Through the adoption of petroleum industry standards, an open system was designed to facilitate information input and output. Careful attention to emerging computer standards has resulted in a system that is portable across a wide range of current hardware from multiple vendors and that will be easily movable to new hardware platforms as they become available.

  7. Database and applications security integrating information security and data management

    CERN Document Server

    Thuraisingham, Bhavani

    2005-01-01

    This is the first book to provide an in-depth coverage of all the developments, issues and challenges in secure databases and applications. It provides directions for data and application security, including securing emerging applications such as bioinformatics, stream information processing and peer-to-peer computing. Divided into eight sections, each of which focuses on a key concept of secure databases and applications, this book deals with all aspects of technology, including secure relational databases, inference problems, secure object databases, secure distributed databases and emerging

  8. Social Outcomes in Childhood Brain Disorder: A Heuristic Integration of Social Neuroscience and Developmental Psychology

    Science.gov (United States)

    Yeates, Keith Owen; Bigler, Erin D.; Dennis, Maureen; Gerhardt, Cynthia A.; Rubin, Kenneth H.; Stancin, Terry; Taylor, H. Gerry; Vannatta, Kathryn

    2007-01-01

    The authors propose a heuristic model of the social outcomes of childhood brain disorder that draws on models and methods from both the emerging field of social cognitive neuroscience and the study of social competence in developmental psychology/psychopathology. The heuristic model characterizes the relationships between social adjustment, peer…

  9. Improving IMES Localization Accuracy by Integrating Dead Reckoning Information

    Science.gov (United States)

    Fujii, Kenjiro; Arie, Hiroaki; Wang, Wei; Kaneko, Yuto; Sakamoto, Yoshihiro; Schmitz, Alexander; Sugano, Shigeki

    2016-01-01

    Indoor positioning remains an open problem, because it is difficult to achieve satisfactory accuracy within an indoor environment using current radio-based localization technology. In this study, we investigate the use of Indoor Messaging System (IMES) radio for high-accuracy indoor positioning. A hybrid positioning method combining IMES radio strength information and pedestrian dead reckoning information is proposed in order to improve IMES localization accuracy. For understanding the carrier noise ratio versus distance relation for IMES radio, the signal propagation of IMES radio is modeled and identified. Then, trilateration and extended Kalman filtering methods using the radio propagation model are developed for position estimation. These methods are evaluated through robot localization and pedestrian localization experiments. The experimental results show that the proposed hybrid positioning method achieved average estimation errors of 217 and 1846 mm in robot localization and pedestrian localization, respectively. In addition, in order to examine the reason for the positioning accuracy of pedestrian localization being much lower than that of robot localization, the influence of the human body on the radio propagation is experimentally evaluated. The result suggests that the influence of the human body can be modeled. PMID:26828492

  10. Processing of visual semantic information to concrete words : temporal dynamics and neural mechanisms indicated by event-related brain potentials

    NARCIS (Netherlands)

    van Schie, HT; Wijers, AA; Mars, RB; Benjamins, JS; Stowe, LA; Mars, Ruben

    2005-01-01

    Event-related brain potentials were used to study the retrieval of visual semantic information to concrete words, and to investigate possible structural overlap between visual object working memory and concreteness effects in word processing. Subjects performed an object working memory task that inv

  11. Processing of visual semantic information to concrete words: temporal dynamics and neural mechanisms indicated by event-related brain potentials

    NARCIS (Netherlands)

    Schie, H.T. van; Wijers, A.A.; Mars, R.B.; Benjamins, J.S.; Stowe, L.A.

    2005-01-01

    Event-related brain potentials were used to study the retrieval of visual semantic information to concrete words, and to investigate possible structural overlap between visual object working memory and concreteness effects in word processing. Subjects performed an object working memory task that inv

  12. Multi-study integration of brain cancer transcriptomes reveals organ-level molecular signatures.

    Directory of Open Access Journals (Sweden)

    Jaeyun Sung

    Full Text Available We utilized abundant transcriptomic data for the primary classes of brain cancers to study the feasibility of separating all of these diseases simultaneously based on molecular data alone. These signatures were based on a new method reported herein--Identification of Structured Signatures and Classifiers (ISSAC--that resulted in a brain cancer marker panel of 44 unique genes. Many of these genes have established relevance to the brain cancers examined herein, with others having known roles in cancer biology. Analyses on large-scale data from multiple sources must deal with significant challenges associated with heterogeneity between different published studies, for it was observed that the variation among individual studies often had a larger effect on the transcriptome than did phenotype differences, as is typical. For this reason, we restricted ourselves to studying only cases where we had at least two independent studies performed for each phenotype, and also reprocessed all the raw data from the studies using a unified pre-processing pipeline. We found that learning signatures across multiple datasets greatly enhanced reproducibility and accuracy in predictive performance on truly independent validation sets, even when keeping the size of the training set the same. This was most likely due to the meta-signature encompassing more of the heterogeneity across different sources and conditions, while amplifying signal from the repeated global characteristics of the phenotype. When molecular signatures of brain cancers were constructed from all currently available microarray data, 90% phenotype prediction accuracy, or the accuracy of identifying a particular brain cancer from the background of all phenotypes, was found. Looking forward, we discuss our approach in the context of the eventual development of organ-specific molecular signatures from peripheral fluids such as the blood.

  13. Neurochemostat: A Neural Interface SoC With Integrated Chemometrics for Closed-Loop Regulation of Brain Dopamine.

    Science.gov (United States)

    Bozorgzadeh, Bardia; Schuweiler, Douglas R; Bobak, Martin J; Garris, Paul A; Mohseni, Pedram

    2016-06-01

    This paper presents a 3.3×3.2 mm(2) system-on-chip (SoC) fabricated in AMS 0.35 μm 2P/4M CMOS for closed-loop regulation of brain dopamine. The SoC uniquely integrates neurochemical sensing, on-the-fly chemometrics, and feedback-controlled electrical stimulation to realize a "neurochemostat" by maintaining brain levels of electrically evoked dopamine between two user-set thresholds. The SoC incorporates a 90 μW, custom-designed, digital signal processing (DSP) unit for real-time processing of neurochemical data obtained by 400 V/s fast-scan cyclic voltammetry (FSCV) with a carbon-fiber microelectrode (CFM). Specifically, the DSP unit executes a chemometrics algorithm based upon principal component regression (PCR) to resolve in real time electrically evoked brain dopamine levels from pH change and CFM background-current drift, two common interferents encountered using FSCV with a CFM in vivo. Further, the DSP unit directly links the chemically resolved dopamine levels to the activation of the electrical microstimulator in on-off-keying (OOK) fashion. Measured results from benchtop testing, flow injection analysis (FIA), and biological experiments with an anesthetized rat are presented. PMID:26390501

  14. Information Structure: Towards an integrated formal theory of pragmatics

    Directory of Open Access Journals (Sweden)

    Craige Roberts

    2012-12-01

    Full Text Available A framework for pragmatic analysis is proposed which treats discourse as a game, with context as a scoreboard organized around the questions under discussion by the interlocutors. The framework is intended to be coordinated with a dynamic compositional semantics. Accordingly, the context of utterance is modeled as a tuple of different types of information, and the questions therein — modeled, as is usual in formal semantics, as alternative sets of propositions — constrain the felicitous flow of discourse. A requirement of Relevance is satisfied by an utterance (whether an assertion, a question or a suggestion iff it addresses the question under discussion. Finally, it is argued that the prosodic focus of an utterance canonically serves to reflect the question under discussion (at least in English, placing additional constraints on felicity in context. http://dx.doi.org/10.3765/sp.5.6 BibTeX info

  15. An integrated information retrieval and document management system

    Science.gov (United States)

    Coles, L. Stephen; Alvarez, J. Fernando; Chen, James; Chen, William; Cheung, Lai-Mei; Clancy, Susan; Wong, Alexis

    1993-01-01

    This paper describes the requirements and prototype development for an intelligent document management and information retrieval system that will be capable of handling millions of pages of text or other data. Technologies for scanning, Optical Character Recognition (OCR), magneto-optical storage, and multiplatform retrieval using a Standard Query Language (SQL) will be discussed. The semantic ambiguity inherent in the English language is somewhat compensated-for through the use of coefficients or weighting factors for partial synonyms. Such coefficients are used both for defining structured query trees for routine queries and for establishing long-term interest profiles that can be used on a regular basis to alert individual users to the presence of relevant documents that may have just arrived from an external source, such as a news wire service. Although this attempt at evidential reasoning is limited in comparison with the latest developments in AI Expert Systems technology, it has the advantage of being commercially available.

  16. Activity-Based Information Integrating the operations strategy

    Directory of Open Access Journals (Sweden)

    José Augusto da Rocha de Araujo

    2005-12-01

    Full Text Available In the globalized world, companies seek for new operations strategies to ensure world corporate success. This article analyzes how the cost management models – both traditional and activity-based, aid the planning and management of corporate globalized operations. The efficacy of the models application depends on their alignment with the competitive strategy. Companies must evaluate the nature of the competition and its competitive priorities; they should then define the necessary and sufficient dependence level on costs information. In this article, three dependence levels are presented: operational, decision support and strategic control. The result of the research shows the importance of alignment between the cost management model and the competitive strategy for corporate success, and confirms the adequacy of the activity-based costing model as a supporting tool for decision taking in a global strategy. Case studies in world class companies in Brazil are presented.

  17. Creation of integrated information model of 'Ukryttya' object premises and industrial site conditions to support works

    International Nuclear Information System (INIS)

    Data integration is made using standard AutoCAD utility and special software developed in Visual Basic for Application language. Mutual transfer is realized between the applications prepared in Access and AutoCAD with displaying the submitted information. The work demonstrates a possibility to apply integrated information model for investigating radiation field's change and analysis regularities in premises and on industrial site area, development and visualization, with the use of computer animation means, of movement routes, displaying of emergency situations being forecast with the help of computer graphics means, integration of raster display of structures and vector computer model of objects

  18. ICU nurses' evaluations of integrated information displays on user satisfaction and perceived mental workload.

    Science.gov (United States)

    Koch, Sven H; Westenskow, Dwayne; Weir, Charlene; Agutter, Jim; Haar, Maral; Görges, Matthias; Liu, David; Staggers, Nancy

    2012-01-01

    Consolidated information from multiple sources (patient monitors, electronic medical records, infusion pumps, ventilators, medication references) may improve nurses' work and patient safety. Objective. Two hypotheses were tested, that integrated information displays (a) improve nurses' satisfaction and (b) lower perceived mental workload. Methods. In a counter-balanced, repeated measures design (integrated vs. traditional display) 12 ICU nurses performed realistic tasks using both display types. Results. Nurses' user interaction satisfaction was higher with the integrated display and it received more positive comments. Nurses' mean perceived mental workload scores were also lower, having significant differences in effort and frustration dimensions. A lower mental workload may reduce errors and improve treatment times. Integrated information displays have great promise, but technological factors such as bidirectional device communication must be addressed if these displays are to achieve their potential for improving patient safety.

  19. AERIS: An Integrated Domain Information System for Aerospace Science and Technology

    Science.gov (United States)

    Hatua, Sudip Ranjan; Madalli, Devika P.

    2011-01-01

    Purpose: The purpose of this paper is to discuss the methodology in building an integrated domain information system with illustrations that provide proof of concept. Design/methodology/approach: The present work studies the usual search engine approach to information and its pitfalls. A methodology was adopted for construction of a domain-based…

  20. The Relationship between Hospital Financial Performance and Information Technology Integration Strategy Selection

    Science.gov (United States)

    Xie, Yue

    2012-01-01

    In light of the new healthcare regulations, hospitals are increasingly reevaluating their IT integration strategies to meet expanded healthcare information exchange requirements. Nevertheless, hospital executives do not have all the information they need to differentiate between the available strategies and recognize what may better fit their…

  1. 77 FR 41784 - Integrated Risk Information System (IRIS); Announcement of Availability of Literature Searches...

    Science.gov (United States)

    2012-07-16

    ... AGENCY Integrated Risk Information System (IRIS); Announcement of Availability of Literature Searches for... literature search for benzo(a)pyrene; request for information. SUMMARY: The U.S. Environmental Protection Agency (EPA) is announcing the availability of a literature search for benzo(a)pyrene (CASRN 50-...

  2. 75 FR 25239 - Integrated Risk Information System (IRIS); Announcement of Availability of Literature Searches...

    Science.gov (United States)

    2010-05-07

    ... AGENCY Integrated Risk Information System (IRIS); Announcement of Availability of Literature Searches for... of literature searches for IRIS assessments; request for information. SUMMARY: The U.S. Environmental Protection Agency (EPA) is announcing the availability of literature searches for four IRIS assessments...

  3. 76 FR 13402 - Integrated Risk Information System (IRIS); Announcement of Availability of Literature Searches...

    Science.gov (United States)

    2011-03-11

    ... AGENCY Integrated Risk Information System (IRIS); Announcement of Availability of Literature Searches for... literature searches for IRIS assessments; request for information. SUMMARY: The U.S. Environmental Protection Agency (EPA) is announcing the availability of literature searches for cobalt (CASRN 7440-48-4)...

  4. 77 FR 20817 - Integrated Risk Information System (IRIS); Announcement of Availability of Literature Searches...

    Science.gov (United States)

    2012-04-06

    ... AGENCY Integrated Risk Information System (IRIS); Announcement of Availability of Literature Searches for... literature searches for IRIS assessments; request for information. SUMMARY: The U.S. Environmental Protection Agency (EPA) is announcing the availability of literature searches for acetaldehyde (75-07-0) and...

  5. Information Technology, Type II Classroom Integration, and the Limited Infrastructure in Schools

    Science.gov (United States)

    Maddux, Cleborne D.; Johnson D. Lamont

    2006-01-01

    In this second special issue on Type II applications of information technology in education, the focus is on classroom integration. This editorial explores some possible explanations for the fact that information technology in schools has not fulfilled its considerable potential. One reason may be that individualized instruction is not part of the…

  6. Transforming Organisational Culture through the Impact of Information Integration

    Directory of Open Access Journals (Sweden)

    2007-01-01

    Full Text Available Over the last 2-3 decades, investments in the new information technology (NIT have left a deep impression on the life of organisations, that goes beyond ample differences in each organisation’s degree of automatisation. Furthermore, although the generalisation of NIT investment has not produced, on short and medium term, the expected effects on financial and organisational performance, its trend has remained on the increase, and the preoccupation with the development and the implementation of new technologies remains associated with the 'ice-breaker' imagine in almost any field. The ensuing connection between NIT investment and performance is compressed in the celebrated productivity paradox (Solow’s paradox: 'We can see the computer age everywhere, except for productivity statistics'. Solow contradicts the supposition that the large scale use of computers will radically and directly influence productivity. Research has demonstrated that although technology is one of the most important factors that influence productivity and that, although at least in theory, all countries have equal access to technological innovation, in fact, productivity is influenced by many other factors (acquiring physical and human capital, infrastructure, the structure of the market, demographic evolutions, the degree of competition etc. NIT has radically changed the business environment, and consequently, the organisational culture; however, this change cannot be equated with increased efficiency or increased welfare.

  7. Integration of genomic information in the clinical management of HCC.

    Science.gov (United States)

    Quetglas, Iris M; Moeini, Agrin; Pinyol, Roser; Llovet, Josep M

    2014-10-01

    Molecular profiling of hepatocellular carcinoma (HCC) is enabling the advancement of novel approaches to disease diagnosis and management. Accurate prognosis prediction in HCC is specially critical. Clinical staging systems for HCC support clinical decision-making (e.g., BCLC algorithm) might be complemented by molecular-based information in the near future. Molecular signatures derived from tumour and non-tumour samples are associated with patient recurrence an outcome. Single nucleotide polymorphisms have been linked with HCC development. Next generation sequencing studies have brought to light the genomic diversity of this disease. Gens recurrently altered in HCC and susceptible to be targeted belong to signalling pathways including telomere maintenance, cell cycle, chromatin remodelling, Wnt/beta-catenin, RAS/RAF/MAPK and PI3K/AKT/mTOR pathways. Oncogenic loops are unknown but might include some of the already discovered aberrations. Despite the intratumoral heterogeneity observed in HCC tumours, studies including large number of samples can identify key genetic drivers and contribute to the development of novel treatments and a personalized medicine. PMID:25260311

  8. Functional gradients through the cortex, multisensory integration and scaling laws in brain dynamics

    OpenAIRE

    Gonzalo-Fonrodona, Isabel

    2008-01-01

    In the context of the increasing number of works on multisensory and cross-modal effects in cerebral processing, a review is made on the functional model of human brain proposed by Justo Gonzalo (1910-1986), in relation to what he called central syndrome (caused by unilateral lesion in the parieto-occipital cortex, equidistant from the visual, tactile and auditory projection areas). The syndrome is featured by a bilateral, symmetric and multisensory involvement, and by a functional depression...

  9. Direct action of gonadotropin in brain integrates behavioral and reproductive functions

    OpenAIRE

    Yang, Eun-Jin; Nasipak, Brian T.; Kelley, Darcy B.

    2007-01-01

    Essential roles for gonadotropins in gonadal development and reproduction are well established. Over the past decade, however, the expression of luteinizing hormone receptor (LHR) has also been reported in the brain of various mammals and birds. Although suggestive, it has not yet been determined whether this expression pattern supports a novel function for gonadotropins. Here, we demonstrate a CNS-mediated role of gonadotropins in a reproductive behavior: the courtship songs of the South Afr...

  10. Integrated Bio-Search: challenges and trends for the integration, search and comprehensive processing of biological information

    OpenAIRE

    Masseroli, Marco; Mons, Barend; Bongcam-Rudloff, Erik; Ceri, Stefano; Kel, Alexander; Rechenmann, François; Lisacek, Frederique; Romano, Paolo

    2014-01-01

    Many efforts exist to design and implement approaches and tools for data capture, integration and analysis in the life sciences. Challenges are not only the heterogeneity, size and distribution of information sources, but also the danger of producing too many solutions for the same problem. Methodological, technological, infrastructural and social aspects appear to be essential for the development of a new generation of best practices and tools. In this paper, we analyse and discuss these asp...

  11. Creation of integrated information model of 'Ukryttia' object premises condition to support the works

    International Nuclear Information System (INIS)

    A technology for creation of integrated information model of 'Ukryttia' Object premises conditions was developed on the basis of geoinformation system AutoCad. DB Access and instrumental utility 3D MAX. Information models and database for conditions of 'Ukryttia' object's premises located between 0.000 and 67.000 marks in axes 41-52, row G-T, were created. Using integrated information model of 'Ukryttia' object premises conditions, 3D surface distribution of radiation field in the object premises on level 0.000 has been received. It is revealed that maximum values of radiation field are concentrated over the clusters of fuel-containing materials

  12. Global Integration of the Hot-State Brain Network of Appetite Predicts Short Term Weight Loss in Older Adult

    Directory of Open Access Journals (Sweden)

    Brielle M Paolini

    2015-05-01

    Full Text Available Obesity is a public health crisis in North America. While lifestyle interventions for weight loss (WL remain popular, the rate of success is highly variable. Clearly, self-regulation of eating behavior is a challenge and patterns of activity across the brain may be an important determinant of success. The current study prospectively examined whether integration across the Hot-State Brain Network of Appetite (HBN-A predicts WL after 6-months of treatment in older adults. Our metric for network integration was global efficiency (GE. The present work is a sub-study (n = 56 of an ongoing randomized clinical trial involving WL. Imaging involved a baseline food-cue visualization functional MRI (fMRI scan following an overnight fast. Using graph theory to build functional brain networks, we demonstrated that regions of the HBN-A (insula, anterior cingulate cortex (ACC, superior temporal pole, amygdala and the parahippocampal gyrus were highly integrated as evidenced by the results of a principal component analysis. After accounting for known correlates of WL (baseline weight, age, sex, and self-regulatory efficacy and treatment condition, which together contributed 36.9% of the variance in WL, greater GE in the HBN-A was associated with an additional 19% of the variance. The ACC of the HBN-A was the primary driver of this effect, accounting for 14.5% of the variance in WL when entered in a stepwise regression following the covariates, p = 0.0001. The HBN-A is comprised of limbic regions important in the processing of emotions and visceral sensations and the ACC is key for translating such processing into behavioral consequences. The improved integration of these regions may enhance awareness of body and emotional states leading to more successful self-regulation and to greater WL. This is the first study among older adults to prospectively demonstrate that, following an overnight fast, GE of the HBN-A during a food visualization task is predictive of

  13. Global integration of the hot-state brain network of appetite predicts short term weight loss in older adult.

    Science.gov (United States)

    Paolini, Brielle M; Laurienti, Paul J; Simpson, Sean L; Burdette, Jonathan H; Lyday, Robert G; Rejeski, W Jack

    2015-01-01

    Obesity is a public health crisis in North America. While lifestyle interventions for weight loss (WL) remain popular, the rate of success is highly variable. Clearly, self-regulation of eating behavior is a challenge and patterns of activity across the brain may be an important determinant of success. The current study prospectively examined whether integration across the Hot-State Brain Network of Appetite (HBN-A) predicts WL after 6-months of treatment in older adults. Our metric for network integration was global efficiency (GE). The present work is a sub-study (n = 56) of an ongoing randomized clinical trial involving WL. Imaging involved a baseline food-cue visualization functional MRI (fMRI) scan following an overnight fast. Using graph theory to build functional brain networks, we demonstrated that regions of the HBN-A (insula, anterior cingulate cortex (ACC), superior temporal pole (STP), amygdala and the parahippocampal gyrus) were highly integrated as evidenced by the results of a principal component analysis (PCA). After accounting for known correlates of WL (baseline weight, age, sex, and self-regulatory efficacy) and treatment condition, which together contributed 36.9% of the variance in WL, greater GE in the HBN-A was associated with an additional 19% of the variance. The ACC of the HBN-A was the primary driver of this effect, accounting for 14.5% of the variance in WL when entered in a stepwise regression following the covariates, p = 0.0001. The HBN-A is comprised of limbic regions important in the processing of emotions and visceral sensations and the ACC is key for translating such processing into behavioral consequences. The improved integration of these regions may enhance awareness of body and emotional states leading to more successful self-regulation and to greater WL. This is the first study among older adults to prospectively demonstrate that, following an overnight fast, GE of the HBN-A during a food visualization task is predictive of

  14. Constructing a knowledge-based database for dermatological integrative medical information.

    Science.gov (United States)

    Shin, Jeeyoung; Jo, Yunju; Bae, Hyunsu; Hong, Moochang; Shin, Minkyu; Kim, Yangseok

    2013-01-01

    Recently, overuse of steroids and immunosuppressive drugs has produced incurable dermatological health problems. Traditional medical approaches have been studied for alternative solutions. However, accessing relevant information is difficult given the differences in information for western medicine (WM) and traditional medicine (TM). Therefore, an integrated medical information infrastructure must be utilized to bridge western and traditional treatments. In this study, WM and TM information was collected based on literature searches and information from internet databases on dermatological issues. Additionally, definitions for unified terminology and disease categorization based on individual cases were generated. Also a searchable database system was established that may be a possible model system for integrating both WM and TM medical information on dermatological conditions. Such a system will yield benefits for researchers and facilitate the best possible medical solutions for patients. The DIMI is freely available online.

  15. Development of integrated water information system as a support tool in water management in slovenia

    Science.gov (United States)

    Vidmar, A.; Globevnik, L.; Brilly, M.

    2003-04-01

    The integral digital information on the waters of Slovenia is developed. This is a system of aggregated, verified and logically integrated information on the state of waters in Slovenia, the pressures on the water environments and its protection. Data sources are national information evidence and monitoring systems managed by public service organisations and other expert institutions. The information system is a source for planning in water management, environmental state reporting, and performance indicators evaluation. It is based on country based catchment register. The system incorporates 31 information thematic layers that are organised in the DPSIR (driving forces, pressure, state, impact, and response) system. Data for the information themes are organised with the AutoCad MAP 4.5 GIS tool and prepared for browsing with Internet.

  16. Enhancing performances of SSVEP-based brain-computer interfaces via exploiting inter-subject information

    Science.gov (United States)

    Yuan, Peng; Chen, Xiaogang; Wang, Yijun; Gao, Xiaorong; Gao, Shangkai

    2015-08-01

    Objective. A new training-free framework was proposed for target detection in steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) using joint frequency-phase coding. Approach. The key idea is to transfer SSVEP templates from the existing subjects to a new subject to enhance the detection of SSVEPs. Under this framework, transfer template-based canonical correlation analysis (tt-CCA) methods were developed for single-channel and multi-channel conditions respectively. In addition, an online transfer template-based CCA (ott-CCA) method was proposed to update EEG templates by online adaptation. Main results. The efficiency of the proposed framework was proved with a simulated BCI experiment. Compared with the standard CCA method, tt-CCA obtained an 18.78% increase of accuracy with a data length of 1.5 s. A simulated test of ott-CCA further received an accuracy increase of 2.99%. Significance. The proposed simple yet efficient framework significantly facilitates the use of SSVEP BCIs using joint frequency-phase coding. This study also sheds light on the benefits from exploring and exploiting inter-subject information to the electroencephalogram (EEG)-based BCIs.

  17. Deconstructing brain-derived neurotrophic factor actions in adult brain circuits to bridge an existing informational gap in neuro-cell biology

    Institute of Scientific and Technical Information of China (English)

    Heather Bowling; Aditi Bhattacharya; Eric Klann; Moses V Chao

    2016-01-01

    Brain-derived neurotrophic factor (BDNF) plays an important role in neurodevelopment, synaptic plas-ticity, learning and memory, and in preventing neurodegeneration. Despite decades of investigations into downstream signaling cascades and changes in cellular processes, the mechanisms of how BDNF reshapes circuitsin vivo remain unclear. This informational gap partly arises from the fact that the bulk of studies into the molecular actions of BDNF have been performed in dissociated neuronal cultures, while the ma-jority of studies on synaptic plasticity, learning and memory were performed in acute brain slices orin vivo. A recent study by Bowling-Bhattacharya et al., measured the proteomic changes in acute adult hippocampal slices following treatment and reported changes in proteins of neuronal and non-neuronal origin that may in concert modulate synaptic release and secretion in the slice. In this paper, we place these ifndings into the context of existing literature and discuss how they impact our understanding of how BDNF can reshape the brain.

  18. Deconstructing brain-derived neurotrophic factor actions in adult brain circuits to bridge an existing informational gap in neuro-cell biology

    Directory of Open Access Journals (Sweden)

    Heather Bowling

    2016-01-01

    Full Text Available Brain-derived neurotrophic factor (BDNF plays an important role in neurodevelopment, synaptic plasticity, learning and memory, and in preventing neurodegeneration. Despite decades of investigations into downstream signaling cascades and changes in cellular processes, the mechanisms of how BDNF reshapes circuits in vivo remain unclear. This informational gap partly arises from the fact that the bulk of studies into the molecular actions of BDNF have been performed in dissociated neuronal cultures, while the majority of studies on synaptic plasticity, learning and memory were performed in acute brain slices or in vivo. A recent study by Bowling-Bhattacharya et al., measured the proteomic changes in acute adult hippocampal slices following treatment and reported changes in proteins of neuronal and non-neuronal origin that may in concert modulate synaptic release and secretion in the slice. In this paper, we place these findings into the context of existing literature and discuss how they impact our understanding of how BDNF can reshape the brain.

  19. Empowering nurses--Improving care with an Integrated Nursing Information System (INIS).

    Science.gov (United States)

    Murnane, Rosaleen; Kerr, Fridolin; Molony, Eileen; Mulligan, Yvonne; Meehan, Maria; Brown, Suzanne

    2006-01-01

    The nursing informatics project team within the Information Management Services Department of the Mater Misericordiae University Hospital, Dublin, Ireland is currently developing and implementing an Integrated Nursing Information System (INIS) in accordance with an "Information and Workflow Model" drawn up by the team in 1998. The three components of the INIS will be defined and progress in the hospital to date will be demonstrated. INIS will become part of the overall electronic patient record. PMID:17102420

  20. Empowering nurses--Improving care with an Integrated Nursing Information System (INIS).

    Science.gov (United States)

    Murnane, Rosaleen; Kerr, Fridolin; Molony, Eileen; Mulligan, Yvonne; Meehan, Maria; Brown, Suzanne

    2006-01-01

    The nursing informatics project team within the Information Management Services Department of the Mater Misericordiae University Hospital, Dublin, Ireland is currently developing and implementing an Integrated Nursing Information System (INIS) in accordance with an "Information and Workflow Model" drawn up by the team in 1998. The three components of the INIS will be defined and progress in the hospital to date will be demonstrated. INIS will become part of the overall electronic patient record.

  1. Charting a Path for Health Sciences Librarians in an Integrated Information Environment

    OpenAIRE

    1994-01-01

    Changes in the health information environment present a major challenge to health sciences librarians. To successfully meet this challenge, librarians must apply the concepts of informal, self-directed, lifelong learning to their own carers. The Joint Commission on Accreditation of Healthcare Organizations is creating an integrated information environment in health care organizations. The health sciences librarian brings unique knowledge and skills to this environment. The reference technique...

  2. RadOnc: An Integrated Clinical Database and Information Retrieval System Implemented by HyperCard

    OpenAIRE

    Michael, Patricia A.; Foxlee, R. Heath

    1989-01-01

    RadOnc is a prototype hypermedia program designed for the resident physician which integrates a radiation oncology clinical database with reference information. Basic and clinical science information relevant to radiation oncology with pertinent literature reviews are linked to patient records which contain a clinical summary of the presentation, treatment and results. RadOnc's features include a dictionary, search capability, navigational aids, information printing and archiving, and graphic...

  3. Entity information life cycle for big data master data management and information integration

    CERN Document Server

    Talburt, John R

    2015-01-01

    Entity Information Life Cycle for Big Data walks you through the ins and outs of managing entity information so you can successfully achieve master data management (MDM) in the era of big data. This book explains big data's impact on MDM and the critical role of entity information management system (EIMS) in successful MDM. Expert authors Dr. John R. Talburt and Dr. Yinle Zhou provide a thorough background in the principles of managing the entity information life cycle and provide practical tips and techniques for implementing an EIMS, strategies for exploiting distributed processing to hand

  4. Directed cortical information flow during human object recognition: analyzing induced EEG gamma-band responses in brain's source space.

    Directory of Open Access Journals (Sweden)

    Gernot G Supp

    Full Text Available The increase of induced gamma-band responses (iGBRs; oscillations >30 Hz elicited by familiar (meaningful objects is well established in electroencephalogram (EEG research. This frequency-specific change at distinct locations is thought to indicate the dynamic formation of local neuronal assemblies during the activation of cortical object representations. As analytically power increase is just a property of a single location, phase-synchrony was introduced to investigate the formation of large-scale networks between spatially distant brain sites. However, classical phase-synchrony reveals symmetric, pair-wise correlations and is not suited to uncover the directionality of interactions. Here, we investigated the neural mechanism of visual object processing by means of directional coupling analysis going beyond recording sites, but rather assessing the directionality of oscillatory interactions between brain areas directly. This study is the first to identify the directionality of oscillatory brain interactions in source space during human object recognition and suggests that familiar, but not unfamiliar, objects engage widespread reciprocal information flow. Directionality of cortical information-flow was calculated based upon an established Granger-Causality coupling-measure (partial-directed coherence; PDC using autoregressive modeling. To enable comparison with previous coupling studies lacking directional information, phase-locking analysis was applied, using wavelet-based signal decompositions. Both, autoregressive modeling and wavelet analysis, revealed an augmentation of iGBRs during the presentation of familiar objects relative to unfamiliar controls, which was localized to inferior-temporal, superior-parietal and frontal brain areas by means of distributed source reconstruction. The multivariate analysis of PDC evaluated each possible direction of brain interaction and revealed widespread reciprocal information-transfer during familiar

  5. Is it Possible to Extract Brain Metabolic Pathways Information from In Vivo H Nuclear Magnetic Resonance Spectroscopy Data?

    CERN Document Server

    de Lara, Alejandro Chinea Manrique

    2010-01-01

    In vivo H nuclear magnetic resonance (NMR) spectroscopy is an important tool for performing non-invasive quantitative assessments of brain tumour glucose metabolism. Brain tumours are considered as fast-growth tumours because of their high rate of proliferation. In addition, tumour cells exhibit profound genetic, biochemical and histological differences with respect to the original non-transformed cellular types. Therefore, there is a strong interest from the clinical investigator point of view in understanding the role of brain metabolites in normal and pathological conditions and especially on the development of early tumour detection techniques. Unfortunately, current diagnosis techniques ignore the dynamic aspects of these signals. It is largely believed that temporal variations of NMR Spectra are noisy or just simply do not carry enough information to be exploited by any reliable diagnosis procedure. Thus, current diagnosis procedures are mainly based on empirical observations extracted from single avera...

  6. Coordinating Cognitive Information: Task Effects and Individual Differences in Integrating Information from Several Sources.

    Science.gov (United States)

    Yee, Penny L.; And Others

    1991-01-01

    Four experiments with 128 college undergraduates and 82 Air Force recruits examined the coordination of a verbal component task with a visual spatial and an auditory component task. Results show that ability to coordinate perceptual and visual information differs from ability to deal with either type of information alone. (SLD)

  7. Large Scale Functional Brain Networks Underlying Temporal Integration of Audio-Visual Speech Perception: An EEG Study

    Science.gov (United States)

    Kumar, G. Vinodh; Halder, Tamesh; Jaiswal, Amit K.; Mukherjee, Abhishek; Roy, Dipanjan; Banerjee, Arpan

    2016-01-01

    Observable lip movements of the speaker influence perception of auditory speech. A classical example of this influence is reported by listeners who perceive an illusory (cross-modal) speech sound (McGurk-effect) when presented with incongruent audio-visual (AV) speech stimuli. Recent neuroimaging studies of AV speech perception accentuate the role of frontal, parietal, and the integrative brain sites in the vicinity of the superior temporal sulcus (STS) for multisensory speech perception. However, if and how does the network across the whole brain participates during multisensory perception processing remains an open question. We posit that a large-scale functional connectivity among the neural population situated in distributed brain sites may provide valuable insights involved in processing and fusing of AV speech. Varying the psychophysical parameters in tandem with electroencephalogram (EEG) recordings, we exploited the trial-by-trial perceptual variability of incongruent audio-visual (AV) speech stimuli to identify the characteristics of the large-scale cortical network that facilitates multisensory perception during synchronous and asynchronous AV speech. We evaluated the spectral landscape of EEG signals during multisensory speech perception at varying AV lags. Functional connectivity dynamics for all sensor pairs was computed using the time-frequency global coherence, the vector sum of pairwise coherence changes over time. During synchronous AV speech, we observed enhanced global gamma-band coherence and decreased alpha and beta-band coherence underlying cross-modal (illusory) perception compared to unisensory perception around a temporal window of 300–600 ms following onset of stimuli. During asynchronous speech stimuli, a global broadband coherence was observed during cross-modal perception at earlier times along with pre-stimulus decreases of lower frequency power, e.g., alpha rhythms for positive AV lags and theta rhythms for negative AV lags. Thus

  8. 12 CFR Appendix E to Part 571 - Interagency Guidelines Concerning the Accuracy and Integrity of Information Furnished to Consumer...

    Science.gov (United States)

    2010-01-01

    ... to consumer reporting agencies; and whether new, additional, or different methods (including... and Integrity of Information Furnished to Consumer Reporting Agencies E Appendix E to Part 571 Banks... Information Furnished to Consumer Reporting Agencies OTS encourages voluntary furnishing of information...

  9. Brain-based decoding of mentally imagined film clips and sounds reveals experience-based information patterns in film professionals.

    Science.gov (United States)

    de Borst, Aline W; Valente, Giancarlo; Jääskeläinen, Iiro P; Tikka, Pia

    2016-04-01

    In the perceptual domain, it has been shown that the human brain is strongly shaped through experience, leading to expertise in highly-skilled professionals. What has remained unclear is whether specialization also shapes brain networks underlying mental imagery. In our fMRI study, we aimed to uncover modality-specific mental imagery specialization of film experts. Using multi-voxel pattern analysis we decoded from brain activity of professional cinematographers and sound designers whether they were imagining sounds or images of particular film clips. In each expert group distinct multi-voxel patterns, specific for the modality of their expertise, were found during classification of imagery modality. These patterns were mainly localized in the occipito-temporal and parietal cortex for cinematographers and in the auditory cortex for sound designers. We also found generalized patterns across perception and imagery that were distinct for the two expert groups: they involved frontal cortex for the cinematographers and temporal cortex for the sound designers. Notably, the mental representations of film clips and sounds of cinematographers contained information that went beyond modality-specificity. We were able to successfully decode the implicit presence of film genre from brain activity during mental imagery in cinematographers. The results extend existing neuroimaging literature on expertise into the domain of mental imagery and show that experience in visual versus auditory imagery can alter the representation of information in modality-specific association cortices.

  10. Integrating Information and Communication Technology for Health Information System Strengthening: A Policy Analysis.

    Science.gov (United States)

    Marzuki, Nuraidah; Ismail, Saimy; Al-Sadat, Nabilla; Ehsan, Fauziah Z; Chan, Chee-Khoon; Ng, Chiu-Wan

    2015-11-01

    Despite the high costs involved and the lack of definitive evidence of sustained effectiveness, many low- and middle-income countries had begun to strengthen their health information system using information and communication technology in the past few decades. Following this international trend, the Malaysian Ministry of Health had been incorporating Telehealth (National Telehealth initiatives) into national health policies since the 1990s. Employing qualitative approaches, including key informant interviews and document review, this study examines the agenda-setting processes of the Telehealth policy using Kingdon's framework. The findings suggested that Telehealth policies emerged through actions of policy entrepreneurs within the Ministry of Health, who took advantage of several simultaneously occurring opportunities--official recognition of problems within the existing health information system, availability of information and communication technology to strengthen health information system and political interests surrounding the national Multimedia Super Corridor initiative being developed at the time. The last was achieved by the inclusion of Telehealth as a component of the Multimedia Super Corridor.

  11. A Principled Representation Of Attributive Descriptions For Generating Integrated Text And Information Graphics Presentations

    OpenAIRE

    Green, Nancy; Carenini, Giuseppe; Moore, Johanna

    1998-01-01

    This paper describes a media-independent, compositional, plan-based approach to representing attributive descriptions for use in integrated text and graphics generation. An attributive description's main function is to convey information directly contributing to the communicative goals of a discourse, Whereas a referential description's only function is to enable the audience to identify a particular referent. This approach has been implemented as part of an architecture for generating integr...

  12. The innovation and practice of management improved by integration management information system in nuclear enterprise

    International Nuclear Information System (INIS)

    This article expounds that Hunan Taohuajiang Nuclear Power Company generally programs the route of company's core business and implements its integration through referencing the experience of informationization construction of other enterprises at the beginning of the foundation of this company, and summarizes the experience of system construction and analyses the innovation and signification of the integrative management information system to the nu- clear power enterprise management from data unified, resources sharing and business electronic and the management improvement of this company. (authors)

  13. Software Information Base(SIB)and Its Integration with Data Flow Diagram(DFD)Tool

    Institute of Scientific and Technical Information of China (English)

    董士海

    1989-01-01

    Software in formation base is the main technique of the integration of software engineering environment.Data flow diagram tool is an important software tool to support software requirement analysis phase.This article introduces the functions,structures of a Software Information Base(SIB),and a Data Flow Diagram tool first.The E-R data model of SIB and its integration with Data Flow Diagram tool are emphatically described.

  14. Pentylentetrazole-induced loss of blood-brain barrier integrity involves excess nitric oxide generation by neuronal nitric oxide synthase.

    Science.gov (United States)

    Danjo, Sonoko; Ishihara, Yasuhiro; Watanabe, Masatomo; Nakamura, Yu; Itoh, Kouichi

    2013-09-12

    Dysfunction of the blood-brain barrier (BBB) is one of the major pathophysiological consequences of epilepsy. The increase in the permeability caused by BBB failure is thought to contribute to the development of epileptic outcomes. We developed a method by which the BBB permeability can be demonstrated by gadolinium-enhanced T1 weighted imaging (GdET1WI). The present study examined the changes in the BBB permeability in mice with generalized convulsive seizures (GCS) induced by acute pentylentetrazole (PTZ) injection. At 15min after PTZ-induced GCS, the BBB temporarily leaks BBB-impermeable contrast agent into the parenchyma of the diencephalon, hippocampus and cerebral cortex in mice, and the loss of BBB integrity was gradually recovered by 24h. The temporary BBB failure is a critical link to the glutamatergic activities that occur following the injection of PTZ. PTZ activates the glutamatergic pathway via the NMDA receptor, then nitric oxide (NO) is generated by NMDA receptor-coupled neuronal NO synthase (nNOS). To examine the influence of nNOS-derived NO induced by PTZ on the increases of the BBB permeability, GdET1WI was performed using conventional nNOS gene-deficient mice with or without PTZ injection. The failure of the BBB induced by PTZ was completely protected by nNOS deficiency in the brain. These results suggest that nNOS-derived excess NO in the glutamatergic pathway plays a key role in the failure of the BBB during PTZ-induced GCS. The levels of NO synthetized by nNOS in the brain may represent an important target for the future development of drugs to protect the BBB. PMID:23831997

  15. The Effects of Inquiry-Based Integrated Information Literacy Instruction: Four-Year Trends

    Directory of Open Access Journals (Sweden)

    Lin Ching Chen

    2014-07-01

    Full Text Available The purpose of this study was to examine the effects of four-year integrated information literacy instruction via a framework of inquiry-based learning on elementary students’ memory and comprehension. Moderating factors of students’ academic achievement was another focus of this study. The subjects were 72 students who have participated in this study since they entered an elementary school in Chiayi district. This elementary school adopted the integrated information literacy instruction, designed by the researchers and elementary school teachers, and integrated it into various subject matters via a framework of inquiry-based learning, such as Super 3 and Big6 models. A series of inquiry-based integrated information literacy instruction has been implemented since the second semester of the subjects’ first grade. A total of seven inquiry learning projects has been implemented from grade one through grade four. Fourteen instruments were used as pretests and posttests to assess students’ factual recall and conceptual understanding of subject contents in different projects. The results showed that inquiry-based integrated information literacy instruction couldhelp students memorize facts and comprehend concepts of subject contents. Regardless ofacademic achievements, if students would like to devote their efforts to inquiry processes, their memory and comprehension of subject contents improvedeffectively. However, students of low-academic achievement might need more time to be familiar with the inquiry-based learning strategy.

  16. Superconducting nanowire single-photon detectors integrated with waveguide circuits for quantum information science

    Science.gov (United States)

    Gaggero, A.; Sahin, D.; Mattioli, F.; Leoni, R.; Frucci, G.; Jahanmirinejad, S.; Sprengers, J. P.; Beetz, J.; Lermer, M.; Höfling, S.; Kamp, M.; Fiore, A.

    2013-05-01

    We present our progress in the development of an integrated technology suitable for the photonic quantum information processing, showing the first autocorrelator based on two separated detectors integrated on top of the same ridge waveguide. An efficiency of ~1% at 1300 nm for both detectors and independent of the polarization of the incoming photons, is reported. This ultracompact device enables the on-chip measurement of the second-order correlation function g(2)(τ) . We will further discuss ongoing work on the integration of detectors with single-photon sources.

  17. `Brain drain' without migration: Capital market integration and capital-skill complementarities

    OpenAIRE

    Yasuhiro Sato; Kristian Behrens

    2006-01-01

    We analyze the impacts of capital market integration on the skill composition of labor, using a framework in which heterogeneous agents decide to invest in the acquisition of skills and where production exhibits increasing returns in the available skill range (i.e., capital-skill complementarity).

  18. Integrated Information Framework for Intelligent Cooperative Design Based on Multi-Agent System and XML

    Science.gov (United States)

    Yan, Cao; Lina, Yang; Yanli, Yang; Hua, Chen

    2008-11-01

    To meet the requirements of distributed cooperation in various industries, the architecture of cooperative design based on multi-agent system on Internet is proposed by analyzing cooperative design pattern, and its key technologies, such as product developing process management, information management, and conflict resolution, are discussed. An integrated information framework of loosely coupling modules is proposed which supports concurrent work mode based on multi-agent system. Integrating Web service technique and agent technique into this framework can organize many cooperative members and their activities effectively though they are distributed at different places. Finally, system development mode based on Web is put forward.

  19. A new approach for integration of telemedicine applications into existing information systems in healthcare.

    Science.gov (United States)

    Tobman, Matvei; Nätscher, Catharina; Sussmann, Helmut; Horsch, Alexander

    2002-01-01

    In order to take the full advantage of telemedicine applications, they must seamlessly be integrated into healthcare services and their information systems (e.g. HIS, POS, RIS). In our approach an HL7/XML-based integration module is used 1) to exchange documents with information systems; 2) to generate and administer documents internally; 3) to present documents. The module fills in pre-defined CDA-conforming XML templates with data from HL7 V2 messages. The approach is first applied to the teleconsultation service EST in the project ENDOTEL. PMID:15460679

  20. Community-integrated brain injury rehabilitation: Treatment models and challenges for civilian, military, and veteran populations.

    Science.gov (United States)

    Trudel, Tina M; Nidiffer, F Don; Barth, Jeffrey T

    2007-01-01

    Traumatic brain injury (TBI) is a major health problem in civilian, military, and veteran populations. Individuals experiencing moderate to severe TBI require a continuum of care involving acute hospitalization and postacute rehabilitation, including community reintegration and, one would hope, a return home to function as a productive member of the community. In the military, the goal is to help individuals with TBI return to active duty or make an optimal return to civilian life if the extent of their injuries necessitates a "medical board" discharge. Whether civilian, military, or veteran with TBI, individuals who move beyond the need to live in a facility must be reintegrated back into the community. This article discusses four treatment models for community reintegration, reviews treatment standardization and outcome issues, and describes a manualized rehabilitation pilot program designed to provide community reintegration and return to duty/work for civilians, veterans, and military personnel with TBI.