Knowledge Framework Implementation with Multiple Architectures - 13090

International Nuclear Information System (INIS)

Upadhyay, H.; Lagos, L.; Quintero, W.; Shoffner, P.; DeGregory, J.

2013-01-01

Multiple kinds of knowledge management systems are operational in public and private enterprises, large and small organizations with a variety of business models that make the design, implementation and operation of integrated knowledge systems very difficult. In recent days, there has been a sweeping advancement in the information technology area, leading to the development of sophisticated frameworks and architectures. These platforms need to be used for the development of integrated knowledge management systems which provides a common platform for sharing knowledge across the enterprise, thereby reducing the operational inefficiencies and delivering cost savings. This paper discusses the knowledge framework and architecture that can be used for the system development and its application to real life need of nuclear industry. A case study of deactivation and decommissioning (D and D) is discussed with the Knowledge Management Information Tool platform and framework. D and D work is a high priority activity across the Department of Energy (DOE) complex. Subject matter specialists (SMS) associated with DOE sites, the Energy Facility Contractors Group (EFCOG) and the D and D community have gained extensive knowledge and experience over the years in the cleanup of the legacy waste from the Manhattan Project. To prevent the D and D knowledge and expertise from being lost over time from the evolving and aging workforce, DOE and the Applied Research Center (ARC) at Florida International University (FIU) proposed to capture and maintain this valuable information in a universally available and easily usable system. (authors)

Advanced quality prediction model for software architectural knowledge sharing

NARCIS (Netherlands)

Liang, Peng; Jansen, Anton; Avgeriou, Paris; Tang, Antony; Xu, Lai

In the field of software architecture, a paradigm shift is occurring from describing the outcome of architecting process to describing the Architectural Knowledge (AK) created and used during architecting. Many AK models have been defined to represent domain concepts and their relationships, and

Presenting an Approach for Conducting Knowledge Architecture within Large-Scale Organizations

Science.gov (United States)

Varaee, Touraj; Habibi, Jafar; Mohaghar, Ali

2015-01-01

Knowledge architecture (KA) establishes the basic groundwork for the successful implementation of a short-term or long-term knowledge management (KM) program. An example of KA is the design of a prototype before a new vehicle is manufactured. Due to a transformation to large-scale organizations, the traditional architecture of organizations is undergoing fundamental changes. This paper explores the main strengths and weaknesses in the field of KA within large-scale organizations and provides a suitable methodology and supervising framework to overcome specific limitations. This objective was achieved by applying and updating the concepts from the Zachman information architectural framework and the information architectural methodology of enterprise architecture planning (EAP). The proposed solution may be beneficial for architects in knowledge-related areas to successfully accomplish KM within large-scale organizations. The research method is descriptive; its validity is confirmed by performing a case study and polling the opinions of KA experts. PMID:25993414

Fifth International Workshop on Sharing and Reusing Architectural Knowledge (SHARK 2010)

NARCIS (Netherlands)

Lago, Patricia; Avgeriou, Paris; Kruchten, Philippe

2010-01-01

Architectural Knowledge (AK) is defined as the integrated representation of the software architecture of a software-intensive system or family of systems along with architectural decisions and their rationale, external influence and the development environment. The SHARK workshop series focuses on

Conveying Sacred Knowledge through Contemporary Architectural Design: The Garma Cultural Knowledge Centre

Directory of Open Access Journals (Sweden)

Elizabeth Grant

2016-01-01

Full Text Available The Indigenous peoples of north east Arnhem Land in Australia (Yolngu overlay their culture with the customs and social behaviour of other societies to achieve positive outcomes and autonomy. Passing down cultural knowledge is intrinsic to the cultural identity of Yolngu. The paper discusses the recently completed Garma Cultural Knowledge Centre and examines the cultural knowledge conveyed through the medium of contemporary architecture design. The paper finds that the Garma Cultural Knowledge Centre combined aspects of non-Aboriginal and Aboriginal cultures to form a coherent whole with multi-facetted meanings.

Walking through Architectural Spaces: The Impact of Interior Forms on Human Brain Dynamics.

Science.gov (United States)

Banaei, Maryam; Hatami, Javad; Yazdanfar, Abbas; Gramann, Klaus

2017-01-01

Neuroarchitecture uses neuroscientific tools to better understand architectural design and its impact on human perception and subjective experience. The form or shape of the built environment is fundamental to architectural design, but not many studies have shown the impact of different forms on the inhabitants' emotions. This study investigated the neurophysiological correlates of different interior forms on the perceivers' affective state and the accompanying brain activity. To understand the impact of naturalistic three-dimensional (3D) architectural forms, it is essential to perceive forms from different perspectives. We computed clusters of form features extracted from pictures of residential interiors and constructed exemplary 3D room models based on and representing different formal clusters. To investigate human brain activity during 3D perception of architectural spaces, we used a mobile brain/body imaging (MoBI) approach recording the electroencephalogram (EEG) of participants while they naturally walk through different interior forms in virtual reality (VR). The results revealed a strong impact of curvature geometries on activity in the anterior cingulate cortex (ACC). Theta band activity in ACC correlated with specific feature types ( r s (14) = 0.525, p = 0.037) and geometry ( r s (14) = -0.579, p = 0.019), providing evidence for a role of this structure in processing architectural features beyond their emotional impact. The posterior cingulate cortex and the occipital lobe were involved in the perception of different room perspectives during the stroll through the rooms. This study sheds new light on the use of mobile EEG and VR in architectural studies and provides the opportunity to study human brain dynamics in participants that actively explore and realistically experience architectural spaces.

Walking through Architectural Spaces: The Impact of Interior Forms on Human Brain Dynamics

Directory of Open Access Journals (Sweden)

Maryam Banaei

2017-09-01

Full Text Available Neuroarchitecture uses neuroscientific tools to better understand architectural design and its impact on human perception and subjective experience. The form or shape of the built environment is fundamental to architectural design, but not many studies have shown the impact of different forms on the inhabitants’ emotions. This study investigated the neurophysiological correlates of different interior forms on the perceivers’ affective state and the accompanying brain activity. To understand the impact of naturalistic three-dimensional (3D architectural forms, it is essential to perceive forms from different perspectives. We computed clusters of form features extracted from pictures of residential interiors and constructed exemplary 3D room models based on and representing different formal clusters. To investigate human brain activity during 3D perception of architectural spaces, we used a mobile brain/body imaging (MoBI approach recording the electroencephalogram (EEG of participants while they naturally walk through different interior forms in virtual reality (VR. The results revealed a strong impact of curvature geometries on activity in the anterior cingulate cortex (ACC. Theta band activity in ACC correlated with specific feature types (rs (14 = 0.525, p = 0.037 and geometry (rs (14 = −0.579, p = 0.019, providing evidence for a role of this structure in processing architectural features beyond their emotional impact. The posterior cingulate cortex and the occipital lobe were involved in the perception of different room perspectives during the stroll through the rooms. This study sheds new light on the use of mobile EEG and VR in architectural studies and provides the opportunity to study human brain dynamics in participants that actively explore and realistically experience architectural spaces.

An agent architecture with on-line learning of both procedural and declarative knowledge

Energy Technology Data Exchange (ETDEWEB)

Sun, R.; Peterson, T.; Merrill, E. [Univ. of Alabama, Tuscaloosa, AL (United States)

1996-12-31

In order to develop versatile cognitive agents that learn in situated contexts and generalize resulting knowledge to different environments, we explore the possibility of learning both declarative and procedural knowledge in a hybrid connectionist architecture. The architecture is based on the two-level idea proposed earlier by the author. Declarative knowledge is represented symbolically, while procedural knowledge is represented subsymbolically. The architecture integrates reactive procedures, rules, learning, and decision-making in a unified framework, and structures different learning components (including Q-learning and rule induction) in a synergistic way to perform on-line and integrated learning.

Reconfiguration of Brain Network Architectures between Resting-State and Complexity-Dependent Cognitive Reasoning.

Science.gov (United States)

Hearne, Luke J; Cocchi, Luca; Zalesky, Andrew; Mattingley, Jason B

2017-08-30

Our capacity for higher cognitive reasoning has a measurable limit. This limit is thought to arise from the brain's capacity to flexibly reconfigure interactions between spatially distributed networks. Recent work, however, has suggested that reconfigurations of task-related networks are modest when compared with intrinsic "resting-state" network architecture. Here we combined resting-state and task-driven functional magnetic resonance imaging to examine how flexible, task-specific reconfigurations associated with increasing reasoning demands are integrated within a stable intrinsic brain topology. Human participants (21 males and 28 females) underwent an initial resting-state scan, followed by a cognitive reasoning task involving different levels of complexity, followed by a second resting-state scan. The reasoning task required participants to deduce the identity of a missing element in a 4 × 4 matrix, and item difficulty was scaled parametrically as determined by relational complexity theory. Analyses revealed that external task engagement was characterized by a significant change in functional brain modules. Specifically, resting-state and null-task demand conditions were associated with more segregated brain-network topology, whereas increases in reasoning complexity resulted in merging of resting-state modules. Further increments in task complexity did not change the established modular architecture, but affected selective patterns of connectivity between frontoparietal, subcortical, cingulo-opercular, and default-mode networks. Larger increases in network efficiency within the newly established task modules were associated with higher reasoning accuracy. Our results shed light on the network architectures that underlie external task engagement, and highlight selective changes in brain connectivity supporting increases in task complexity. SIGNIFICANCE STATEMENT Humans have clear limits in their ability to solve complex reasoning problems. It is thought that

Selecting a High-Quality Central Model for Sharing Architectural Knowledge

NARCIS (Netherlands)

Liang, Peng; Jansen, Anton; Avgeriou, Paris; Zhu, H

2008-01-01

In the field of software architecture, there has been a paradigm shift front describing the outcome of architecting process to documenting Architectural Knowledge (AK), such as design decisions and rationale. To this end, a series of domain models have been proposed for defining the concepts and

Architecture Knowledge for Evaluating Scalable Databases

Science.gov (United States)

2015-01-16

Architecture Knowledge for Evaluating Scalable Databases 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) Nurgaliev... Scala , Erlang, Javascript Cursor-based queries Supported, Not Supported JOIN queries Supported, Not Supported Complex data types Lists, maps, sets...is therefore needed, using technology such as machine learning to extract content from product documentation. The terminology used in the database

Development of the brain's functional network architecture.

Science.gov (United States)

Vogel, Alecia C; Power, Jonathan D; Petersen, Steven E; Schlaggar, Bradley L

2010-12-01

A full understanding of the development of the brain's functional network architecture requires not only an understanding of developmental changes in neural processing in individual brain regions but also an understanding of changes in inter-regional interactions. Resting state functional connectivity MRI (rs-fcMRI) is increasingly being used to study functional interactions between brain regions in both adults and children. We briefly review methods used to study functional interactions and networks with rs-fcMRI and how these methods have been used to define developmental changes in network functional connectivity. The developmental rs-fcMRI studies to date have found two general properties. First, regional interactions change from being predominately anatomically local in children to interactions spanning longer cortical distances in young adults. Second, this developmental change in functional connectivity occurs, in general, via mechanisms of segregation of local regions and integration of distant regions into disparate subnetworks.

Primate brain architecture and selection in relation to sex.

Science.gov (United States)

Lindenfors, Patrik; Nunn, Charles L; Barton, Robert A

2007-05-10

Social and competitive demands often differ between the sexes in mammals. These differing demands should be expected to produce variation in the relative sizes of various brain structures. Sexual selection on males can be predicted to influence brain components handling sensory-motor skills that are important for physical competition or neural pathways involving aggression. Conversely, because female fitness is more closely linked to ecological factors and social interactions that enable better acquisition of resources, social selection on females should select for brain components important for navigating social networks. Sexual and social selection acting on one sex could produce sexual dimorphism in brain structures, which would result in larger species averages for those same brain structures. Alternatively, sex-specific selection pressures could produce correlated effects in the other sex, resulting in larger brain structures for both males and females of a species. Data are presently unavailable for the sex-specific sizes of brain structures for anthropoid primates, but under either scenario, the effects of sexual and social selection should leave a detectable signal in average sizes of brain structures for different species. The degree of male intra-sexual selection was positively correlated with several structures involved in autonomic functions and sensory-motor skills, and in pathways relating to aggression and aggression control. The degree of male intra-sexual selection was not correlated with relative neocortex size, which instead was significantly positively correlated with female social group size, but negatively correlated with male group size. Sexual selection on males and social selection on females have exerted different effects on primate brain architecture. Species with a higher degree of male intra-sexual selection carry a neural signature of an evolutionary history centered on physical conflicts, but no traces of increased demands on

Primate brain architecture and selection in relation to sex

Directory of Open Access Journals (Sweden)

Nunn Charles L

2007-05-01

Full Text Available Abstract Background Social and competitive demands often differ between the sexes in mammals. These differing demands should be expected to produce variation in the relative sizes of various brain structures. Sexual selection on males can be predicted to influence brain components handling sensory-motor skills that are important for physical competition or neural pathways involving aggression. Conversely, because female fitness is more closely linked to ecological factors and social interactions that enable better acquisition of resources, social selection on females should select for brain components important for navigating social networks. Sexual and social selection acting on one sex could produce sexual dimorphism in brain structures, which would result in larger species averages for those same brain structures. Alternatively, sex-specific selection pressures could produce correlated effects in the other sex, resulting in larger brain structures for both males and females of a species. Data are presently unavailable for the sex-specific sizes of brain structures for anthropoid primates, but under either scenario, the effects of sexual and social selection should leave a detectable signal in average sizes of brain structures for different species. Results The degree of male intra-sexual selection was positively correlated with several structures involved in autonomic functions and sensory-motor skills, and in pathways relating to aggression and aggression control. The degree of male intra-sexual selection was not correlated with relative neocortex size, which instead was significantly positively correlated with female social group size, but negatively correlated with male group size. Conclusion Sexual selection on males and social selection on females have exerted different effects on primate brain architecture. Species with a higher degree of male intra-sexual selection carry a neural signature of an evolutionary history centered on

A deep knowledge architecture for intelligent support of nuclear waste transportation decisions

International Nuclear Information System (INIS)

Batra, D.; Bowen, W.M.; Hill, T.R.; Weeks, K.D.

1988-01-01

The concept of intelligent decision support has been discussed and explored in several recent papers, one of which has suggested the use of a Deep Knowledge Architecture. This paper explores this concept through application to a specific decision environment. The complex problems involved in nuclear waste disposal decisions provide an excellent test case. The resulting architecture uses an integrated, multi-level model base to represent the deep knowledge of the problem. Combined with the surface level knowledge represented by the database, the proposed knowledge base complements that of the decision-maker, allowing analysis at a range of levels of decisions which may also occur at a range of levels

A Core Knowledge Architecture of Visual Working Memory

Science.gov (United States)

Wood, Justin N.

2011-01-01

Visual working memory (VWM) is widely thought to contain specialized buffers for retaining spatial and object information: a "spatial-object architecture." However, studies of adults, infants, and nonhuman animals show that visual cognition builds on core knowledge systems that retain more specialized representations: (1) spatiotemporal…

Personality is reflected in the brain's intrinsic functional architecture.

Directory of Open Access Journals (Sweden)

Jonathan S Adelstein

Full Text Available Personality describes persistent human behavioral responses to broad classes of environmental stimuli. Investigating how personality traits are reflected in the brain's functional architecture is challenging, in part due to the difficulty of designing appropriate task probes. Resting-state functional connectivity (RSFC can detect intrinsic activation patterns without relying on any specific task. Here we use RSFC to investigate the neural correlates of the five-factor personality domains. Based on seed regions placed within two cognitive and affective 'hubs' in the brain--the anterior cingulate and precuneus--each domain of personality predicted RSFC with a unique pattern of brain regions. These patterns corresponded with functional subdivisions responsible for cognitive and affective processing such as motivation, empathy and future-oriented thinking. Neuroticism and Extraversion, the two most widely studied of the five constructs, predicted connectivity between seed regions and the dorsomedial prefrontal cortex and lateral paralimbic regions, respectively. These areas are associated with emotional regulation, self-evaluation and reward, consistent with the trait qualities. Personality traits were mostly associated with functional connections that were inconsistently present across participants. This suggests that although a fundamental, core functional architecture is preserved across individuals, variable connections outside of that core encompass the inter-individual differences in personality that motivate diverse responses.

Large-scale brain networks in affective and social neuroscience: Towards an integrative functional architecture of the brain

Science.gov (United States)

Barrett, Lisa Feldman; Satpute, Ajay

2013-01-01

Understanding how a human brain creates a human mind ultimately depends on mapping psychological categories and concepts to physical measurements of neural response. Although it has long been assumed that emotional, social, and cognitive phenomena are realized in the operations of separate brain regions or brain networks, we demonstrate that it is possible to understand the body of neuroimaging evidence using a framework that relies on domain general, distributed structure-function mappings. We review current research in affective and social neuroscience and argue that the emerging science of large-scale intrinsic brain networks provides a coherent framework for a domain-general functional architecture of the human brain. PMID:23352202

A Knowledge Conversion Model Based on the Cognitive Load Theory for Architectural Design Education

Science.gov (United States)

Wu, Yun-Wu; Liao, Shin; Wen, Ming-Hui; Weng, Kuo-Hua

2017-01-01

The education of architectural design requires balanced curricular arrangements of respectively theoretical knowledge and practical skills to really help students build their knowledge structures, particularly helping them in solving the problems of cognitive load. The purpose of this study is to establish an architectural design knowledge…

Neurally and mathematically motivated architecture for language and thought.

Science.gov (United States)

Perlovsky, L I; Ilin, R

2010-01-01

Neural structures of interaction between thinking and language are unknown. This paper suggests a possible architecture motivated by neural and mathematical considerations. A mathematical requirement of computability imposes significant constraints on possible architectures consistent with brain neural structure and with a wealth of psychological knowledge. How language interacts with cognition. Do we think with words, or is thinking independent from language with words being just labels for decisions? Why is language learned by the age of 5 or 7, but acquisition of knowledge represented by learning to use this language knowledge takes a lifetime? This paper discusses hierarchical aspects of language and thought and argues that high level abstract thinking is impossible without language. We discuss a mathematical technique that can model the joint language-thought architecture, while overcoming previously encountered difficulties of computability. This architecture explains a contradiction between human ability for rational thoughtful decisions and irrationality of human thinking revealed by Tversky and Kahneman; a crucial role in this contradiction might be played by language. The proposed model resolves long-standing issues: how the brain learns correct words-object associations; why animals do not talk and think like people. We propose the role played by language emotionality in its interaction with thought. We relate the mathematical model to Humboldt's "firmness" of languages; and discuss possible influence of language grammar on its emotionality. Psychological and brain imaging experiments related to the proposed model are discussed. Future theoretical and experimental research is outlined.

Architectural Knowledge Discovery with Latent Semantic Analysis: Constructing a Reading Guide for Software Product Audits

NARCIS (Netherlands)

de Boer, R.C.; van Vliet, H.

2008-01-01

Architectural knowledge is reflected in various artifacts of a software product. In a software product audit this architectural knowledge needs to be uncovered and its effects assessed in order to evaluate the quality of the software product. A particular problem is to find and comprehend the

Brain inspired hardware architectures - Can they be used for particle physics ?

CERN Multimedia

CERN. Geneva

2016-01-01

After their inception in the 1940s and several decades of moderate success, artificial neural networks have recently demonstrated impressive achievements in analysing big data volumes. Wide and deep network architectures can now be trained using high performance computing systems, graphics card clusters in particular. Despite their successes these state-of-the-art approaches suffer from very long training times and huge energy consumption, in particular during the training phase. The biological brain can perform similar and superior classification tasks in the space and time domains, but at the same time exhibits very low power consumption, rapid unsupervised learning capabilities and fault tolerance. In the talk the differences between classical neural networks and neural circuits in the brain will be presented. Recent hardware implementations of neuromorphic computing systems and their applications will be shown. Finally, some initial ideas to use accelerated neural architectures as trigger processors i...

A "Knowledge Trading Game" for Collaborative Design Learning in an Architectural Design Studio

Science.gov (United States)

Wang, Wan-Ling; Shih, Shen-Guan; Chien, Sheng-Fen

2010-01-01

Knowledge-sharing and resource exchange are the key to the success of collaborative design learning. In an architectural design studio, design knowledge entails learning efforts that need to accumulate and recombine dispersed and complementary pieces of knowledge. In this research, firstly, "Knowledge Trading Game" is proposed to be a way for…

A Priori Knowledge and Heuristic Reasoning in Architectural Design.

Science.gov (United States)

Rowe, Peter G.

1982-01-01

It is proposed that the various classes of a priori knowledge incorporated in heuristic reasoning processes exert a strong influence over architectural design activity. Some design problems require exercise of some provisional set of rules, inference, or plausible strategy which requires heuristic reasoning. A case study illustrates this concept.…

Personality Is Reflected in the Brain's Intrinsic Functional Architecture

Science.gov (United States)

Adelstein, Jonathan S.; Shehzad, Zarrar; Mennes, Maarten; DeYoung, Colin G.; Zuo, Xi-Nian; Kelly, Clare; Margulies, Daniel S.; Bloomfield, Aaron; Gray, Jeremy R.; Castellanos, F. Xavier; Milham, Michael P.

2011-01-01

Personality describes persistent human behavioral responses to broad classes of environmental stimuli. Investigating how personality traits are reflected in the brain's functional architecture is challenging, in part due to the difficulty of designing appropriate task probes. Resting-state functional connectivity (RSFC) can detect intrinsic activation patterns without relying on any specific task. Here we use RSFC to investigate the neural correlates of the five-factor personality domains. Based on seed regions placed within two cognitive and affective ‘hubs’ in the brain—the anterior cingulate and precuneus—each domain of personality predicted RSFC with a unique pattern of brain regions. These patterns corresponded with functional subdivisions responsible for cognitive and affective processing such as motivation, empathy and future-oriented thinking. Neuroticism and Extraversion, the two most widely studied of the five constructs, predicted connectivity between seed regions and the dorsomedial prefrontal cortex and lateral paralimbic regions, respectively. These areas are associated with emotional regulation, self-evaluation and reward, consistent with the trait qualities. Personality traits were mostly associated with functional connections that were inconsistently present across participants. This suggests that although a fundamental, core functional architecture is preserved across individuals, variable connections outside of that core encompass the inter-individual differences in personality that motivate diverse responses. PMID:22140453

Knowledge-based-ness and synthesis of indigenous knowledge with climate in traditional architecture: Evidence from Naeen city

Directory of Open Access Journals (Sweden)

Ali Zangi Abadi

2014-01-01

Full Text Available Application of indigenous knowledge is an example of knowledge-based-ness considered as the main agenda in most current urban and climate planning as well as geographical studies. It is one of the interesting topics in research on the role of climate on human dwelling and immediate environment. Indeed, building ecology emphasizes the ability to combine climate and environmental factors and rendering them to spatial qualities and structural comfort. This paper investigates the application of indigenous knowledge and the correspondence between traditional texture of Naeen city and its climate. In this regard, the climatic conditions in Naeen were studied in terms of temperature, humidity, wind and tourist comfort index (TCI of climatourism. The data was collected from Isfahan Meteorology Website over the period 1985-2005. Subsequently, the traditional texture of Naeen, construction materials and building styles were studied through considering the special architectural conditions and compatible materials. Eventually, the correspondence between architectural styles and climatic conditions was studied. The results show that traditional architecture based on indigenous knowledge was consistent with climatic conditions. In this regard, using such materials as mud bricks and thatch with suitable heat capacity as well as using wind catchers, high walls around houses, dome construction, southward direction of houses were consistent with east-west wind direction. In addition, concentration of the traditional texture of the city, wall thickness, corridors, long hallways, courtyard ponds and roofed alleys are evidence of the effect of climatic conditions on urban texture in order to provide comfort in different seasons.

Histological Architecture Underlying Brain-Immune Cell-Cell Interactions and the Cerebral Response to Systemic Inflammation.

Science.gov (United States)

Shimada, Atsuyoshi; Hasegawa-Ishii, Sanae

2017-01-01

Although the brain is now known to actively interact with the immune system under non-inflammatory conditions, the site of cell-cell interactions between brain parenchymal cells and immune cells has been an open question until recently. Studies by our and other groups have indicated that brain structures such as the leptomeninges, choroid plexus stroma and epithelium, attachments of choroid plexus, vascular endothelial cells, cells of the perivascular space, circumventricular organs, and astrocytic endfeet construct the histological architecture that provides a location for intercellular interactions between bone marrow-derived myeloid lineage cells and brain parenchymal cells under non-inflammatory conditions. This architecture also functions as the interface between the brain and the immune system, through which systemic inflammation-induced molecular events can be relayed to the brain parenchyma at early stages of systemic inflammation during which the blood-brain barrier is relatively preserved. Although brain microglia are well known to be activated by systemic inflammation, the mechanism by which systemic inflammatory challenge and microglial activation are connected has not been well documented. Perturbed brain-immune interaction underlies a wide variety of neurological and psychiatric disorders including ischemic brain injury, status epilepticus, repeated social defeat, and neurodegenerative diseases such as Alzheimer's disease and Parkinson's disease. Proinflammatory status associated with cytokine imbalance is involved in autism spectrum disorders, schizophrenia, and depression. In this article, we propose a mechanism connecting systemic inflammation, brain-immune interface cells, and brain parenchymal cells and discuss the relevance of basic studies of the mechanism to neurological disorders with a special emphasis on sepsis-associated encephalopathy and preterm brain injury.

Information Architecture and the Comic Arts: Knowledge Structure and Access

Science.gov (United States)

Farmer, Lesley S. J.

2015-01-01

This article explains information architecture, focusing on comic arts' features for representing and structuring knowledge. Then it details information design theory and information behaviors relative to this format, also noting visual literacy. Next , applications of comic arts in education are listed. With this background, several research…

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

Knowledge Management for Shared Awareness

Science.gov (United States)

2013-05-01

knowledge derived from experiences that can be communicated through mechanisms such as storytelling , debriefing etc., or summarized in databases...patterned on the neural architecture of the brain . Neural nets often consist of a large number of nodes connected by links that transmit signals...that allow speech generation by a computer. Storytelling : The use of stories in organizations as a way of sharing knowledge and helping learning

Deciphering the genomic architecture of the stickleback brain with a novel multilocus gene-mapping approach.

Science.gov (United States)

Li, Zitong; Guo, Baocheng; Yang, Jing; Herczeg, Gábor; Gonda, Abigél; Balázs, Gergely; Shikano, Takahito; Calboli, Federico C F; Merilä, Juha

2017-03-01

Quantitative traits important to organismal function and fitness, such as brain size, are presumably controlled by many small-effect loci. Deciphering the genetic architecture of such traits with traditional quantitative trait locus (QTL) mapping methods is challenging. Here, we investigated the genetic architecture of brain size (and the size of five different brain parts) in nine-spined sticklebacks (Pungitius pungitius) with the aid of novel multilocus QTL-mapping approaches based on a de-biased LASSO method. Apart from having more statistical power to detect QTL and reduced rate of false positives than conventional QTL-mapping approaches, the developed methods can handle large marker panels and provide estimates of genomic heritability. Single-locus analyses of an F 2 interpopulation cross with 239 individuals and 15 198, fully informative single nucleotide polymorphisms (SNPs) uncovered 79 QTL associated with variation in stickleback brain size traits. Many of these loci were in strong linkage disequilibrium (LD) with each other, and consequently, a multilocus mapping of individual SNPs, accounting for LD structure in the data, recovered only four significant QTL. However, a multilocus mapping of SNPs grouped by linkage group (LG) identified 14 LGs (1-6 depending on the trait) that influence variation in brain traits. For instance, 17.6% of the variation in relative brain size was explainable by cumulative effects of SNPs distributed over six LGs, whereas 42% of the variation was accounted for by all 21 LGs. Hence, the results suggest that variation in stickleback brain traits is influenced by many small-effect loci. Apart from suggesting moderately heritable (h 2  ≈ 0.15-0.42) multifactorial genetic architecture of brain traits, the results highlight the challenges in identifying the loci contributing to variation in quantitative traits. Nevertheless, the results demonstrate that the novel QTL-mapping approach developed here has distinctive advantages

Establishment of a Digital Knowledge Conversion Architecture Design Learning with High User Acceptance

Science.gov (United States)

Wu, Yun-Wu; Weng, Apollo; Weng, Kuo-Hua

2017-01-01

The purpose of this study is to design a knowledge conversion and management digital learning system for architecture design learning, helping students to share, extract, use and create their design knowledge through web-based interactive activities based on socialization, internalization, combination and externalization process in addition to…

Architectural design decisions

NARCIS (Netherlands)

Jansen, Antonius Gradus Johannes

2008-01-01

A software architecture can be considered as the collection of key decisions concerning the design of the software of a system. Knowledge about this design, i.e. architectural knowledge, is key for understanding a software architecture and thus the software itself. Architectural knowledge is mostly

Disrupted resting-state functional architecture of the brain after 45-day simulated microgravity

Science.gov (United States)

Zhou, Yuan; Wang, Yun; Rao, Li-Lin; Liang, Zhu-Yuan; Chen, Xiao-Ping; Zheng, Dang; Tan, Cheng; Tian, Zhi-Qiang; Wang, Chun-Hui; Bai, Yan-Qiang; Chen, Shan-Guang; Li, Shu

2014-01-01

Long-term spaceflight induces both physiological and psychological changes in astronauts. To understand the neural mechanisms underlying these physiological and psychological changes, it is critical to investigate the effects of microgravity on the functional architecture of the brain. In this study, we used resting-state functional MRI (rs-fMRI) to study whether the functional architecture of the brain is altered after 45 days of −6° head-down tilt (HDT) bed rest, which is a reliable model for the simulation of microgravity. Sixteen healthy male volunteers underwent rs-fMRI scans before and after 45 days of −6° HDT bed rest. Specifically, we used a commonly employed graph-based measure of network organization, i.e., degree centrality (DC), to perform a full-brain exploration of the regions that were influenced by simulated microgravity. We subsequently examined the functional connectivities of these regions using a seed-based resting-state functional connectivity (RSFC) analysis. We found decreased DC in two regions, the left anterior insula (aINS) and the anterior part of the middle cingulate cortex (MCC; also called the dorsal anterior cingulate cortex in many studies), in the male volunteers after 45 days of −6° HDT bed rest. Furthermore, seed-based RSFC analyses revealed that a functional network anchored in the aINS and MCC was particularly influenced by simulated microgravity. These results provide evidence that simulated microgravity alters the resting-state functional architecture of the brains of males and suggest that the processing of salience information, which is primarily subserved by the aINS–MCC functional network, is particularly influenced by spaceflight. The current findings provide a new perspective for understanding the relationships between microgravity, cognitive function, autonomic neural function, and central neural activity. PMID:24926242

Disrutpted resting-state functional architecture of the brain after 45-day simulated microgravity

Directory of Open Access Journals (Sweden)

Yuan eZhou

2014-06-01

Full Text Available Long-term spaceflight induces both physiological and psychological changes in astronauts. To understand the neural mechanisms underlying these physiological and psychological changes, it is critical to investigate the effects of microgravity on the functional architecture of the brain. In this study, we used resting-state functional MRI (rs-fMRI to study whether the functional architecture of the brain is altered after 45 days of -6° head-down tilt (HDT bed rest, which is a reliable model for the simulation of microgravity. Sixteen healthy male volunteers underwent rs-fMRI scans before and after 45 days of -6° HDT bed rest. Specifically, we used a commonly employed graph-based measure of network organization, i.e., degree centrality (DC, to perform a full-brain exploration of the regions that were influenced by simulated microgravity. We subsequently examined the functional connectivities of these regions using a seed-based resting-state functional connectivity (RSFC analysis. We found decreased DC in two regions, the left anterior insula (aINS and the anterior part of the middle cingulate cortex (MCC; also called the dorsal anterior cingulate cortex in many studies, in the male volunteers after 45 days of -6° HDT bed rest. Furthermore, seed-based RSFC analyses revealed that a functional network anchored in the aINS and MCC was particularly influenced by simulated microgravity. These results provide evidence that simulated microgravity alters the resting-state functional architecture of the brains of males and suggest that the processing of salience information, which is primarily subserved by the aINS–MCC functional network, is particularly influenced by spaceflight. The current findings provide a new perspective for understanding the relationships between microgravity, cognitive function, autonomic neural function and central neural activity.

Bioinspired Architecture Selection for Multitask Learning

Directory of Open Access Journals (Sweden)

Andrés Bueno-Crespo

2017-06-01

Full Text Available Faced with a new concept to learn, our brain does not work in isolation. It uses all previously learned knowledge. In addition, the brain is able to isolate the knowledge that does not benefit us, and to use what is actually useful. In machine learning, we do not usually benefit from the knowledge of other learned tasks. However, there is a methodology called Multitask Learning (MTL, which is based on the idea that learning a task along with other related tasks produces a transfer of information between them, what can be advantageous for learning the first one. This paper presents a new method to completely design MTL architectures, by including the selection of the most helpful subtasks for the learning of the main task, and the optimal network connections. In this sense, the proposed method realizes a complete design of the MTL schemes. The method is simple and uses the advantages of the Extreme Learning Machine to automatically design a MTL machine, eliminating those factors that hinder, or do not benefit, the learning process of the main task. This architecture is unique and it is obtained without testing/error methodologies that increase the computational complexity. The results obtained over several real problems show the good performances of the designed networks with this method.

Public School Teachers' Knowledge, Perception, and Implementation of Brain-Based Learning Practices

Science.gov (United States)

Wachob, David A.

2012-01-01

The purpose of this study was to determine K-12 teachers' knowledge, beliefs, and practices of brain-based learning strategies in western Pennsylvania schools. The following five research questions were explored: (a) What is the extent of knowledge K-12 public school teachers have about the indicators of brain-based learning and Brain Gym?; (b) To…

Alterations of Brain Functional Architecture Associated with Psychopathic Traits in Male Adolescents with Conduct Disorder

OpenAIRE

Pu, Weidan; Luo, Qiang; Jiang, Yali; Gao, Yidian; Ming, Qingsen; Yao, Shuqiao

2017-01-01

Psychopathic traits of conduct disorder (CD) have a core callous-unemotional (CU) component and an impulsive-antisocial component. Previous task-driven fMRI studies have suggested that psychopathic traits are associated with dysfunction of several brain areas involved in different cognitive functions (e.g., empathy, reward, and response inhibition etc.), but the relationship between psychopathic traits and intrinsic brain functional architecture has not yet been explored in CD. Using a holist...

Police Officers' Knowledge and Attitudes Toward Brain Death and Organ Donation in Korea.

Science.gov (United States)

Kim, H S; Yoo, Y S; Cho, O-H; Lee, C E; Choi, Y-H; Kim, H J; Park, J Y; Park, H S; Kwon, Y J

2018-05-01

Administrative processing by the police may affect the process involved in organ donation in the event of an accidental brain injury. The purpose of this study was to evaluate the knowledge and attitude of police toward brain-dead donors and organ donation. This was a descriptive research study using a 41-item questionnaire. As of July 19, 2017, 11 police stations in Seoul had collected questionnaires completed by 115 police officers. Data were analyzed using SAS (version 9.4) software. There were statistically significant differences in the scores on knowledge about brain death/donation according to religion (P = .022). Attitude was significantly positively correlated with the knowledge about brain-death organ donation (P = .029). It is necessary to understand and cooperate with the police when processing brain death organs from accidents. Education about organ donation can enhance the information and knowledge of the police and can also help to establish a positive attitude about organ donation. Copyright © 2018 Elsevier Inc. All rights reserved.

Evaluation Research as a Mechanism for Critical Inquiry and Knowledge Construction in Architectural and Urban Education

Directory of Open Access Journals (Sweden)

Ashraf M. Salama

2012-12-01

Full Text Available This article responds to the misconceptions that continue to characterize the delivery of knowledge content in architectural courses. Based on reviewing the literature on pedagogy the paper explores the value and benefits of introducing evaluation research as a mechanism for critical inquiry and knowledge construction in theory courses in architecture and urbanism. A framework is developed and employed to demonstrate the way in which this type of learning can be incorporated.   The development and implementation of a series of in-class and off campus exercises in two different contexts reveal that structured actions and experiences help students to be in control over their learning while invigorating their understanding of the body of knowledge delivered in a typical lecture format. It firmly believed that this would offer students multiple learning opportunities while fostering their capabilities to shift from passive listeners to active learners and from knowledge consumers to knowledge producers.

The Present of Architectural Psychology Researches in China- Based on the Bibliometric Analysis and Knowledge Mapping

Science.gov (United States)

Zhu, LeiYe; Wang, Qi; Xu, JunHua; Wu, Qing; Jin, MeiDong; Liao, RongJun; Wang, HaiBin

2018-03-01

Architectural Psychology is an interdisciplinary subject of psychology and architecture that focuses on architectural design by using Gestalt psychology, cognitive psychology and other related psychology principles. Researchers from China have achieved fruitful achievements in the field of architectural psychology during past thirty-three years. To reveal the current situation of the field in China, 129 related papers from the China National Knowledge Infrastructure (CNKI) were analyzed by CiteSpace II software. The results show that: (1) the studies of the field in China have been started since 1984 and the annual number of the papers increased dramatically from 2008 and reached a historical peak in 2016. Shanxi Architecture tops the list of contributing publishing journals; Wuhan University, Southwest Jiaotong University and Chongqing University are the best performer among the contributing organizations. (2) “Environmental Psychology”, “Architectural Design” and “Architectural Psychology” are the most frequency keywords. The frontiers of the field in China are “architectural creation” and “environmental psychology” while the popular research topics were“residential environment”, “spatial environment”, “environmental psychology”, “architectural theory” and “architectural psychology”.

Meme media and meme market architectures knowledge media for editing distributing and managing intellectual resources

CERN Document Server

Tanaka, Y

2003-01-01

"In this book, Yuzuru Tanaka proposes a powerful new paradigm: that knowledge media, or "memes," operate in a way that closely resembles the biological function of genes, with their network publishing repository working as a gene pool to accelerate the evolution of knowledge shared in our societies. In Meme Media and Meme Market Architectures: Knowledge Media for Editing, Distributing, and Managing Intellectual Resources, Tanaka outlines a ready-to-use knowledge media system, supplemented with sample media objects, which allows readers to experience the knowledge media paradigm."--Jacket.

Reconfiguration of brain network architecture to support executive control in aging.

Science.gov (United States)

Gallen, Courtney L; Turner, Gary R; Adnan, Areeba; D'Esposito, Mark

2016-08-01

Aging is accompanied by declines in executive control abilities and changes in underlying brain network architecture. Here, we examined brain networks in young and older adults during a task-free resting state and an N-back task and investigated age-related changes in the modular network organization of the brain. Compared with young adults, older adults showed larger changes in network organization between resting state and task. Although young adults exhibited increased connectivity between lateral frontal regions and other network modules during the most difficult task condition, older adults also exhibited this pattern of increased connectivity during less-demanding task conditions. Moreover, the increase in between-module connectivity in older adults was related to faster task performance and greater fractional anisotropy of the superior longitudinal fasciculus. These results demonstrate that older adults who exhibit more pronounced network changes between a resting state and task have better executive control performance and greater structural connectivity of a core frontal-posterior white matter pathway. Copyright © 2016 Elsevier Inc. All rights reserved.

Association of collagen architecture with glioblastoma patient survival.

Science.gov (United States)

Pointer, Kelli B; Clark, Paul A; Schroeder, Alexandra B; Salamat, M Shahriar; Eliceiri, Kevin W; Kuo, John S

2017-06-01

OBJECTIVE Glioblastoma (GBM) is the most malignant primary brain tumor. Collagen is present in low amounts in normal brain, but in GBMs, collagen gene expression is reportedly upregulated. However, to the authors' knowledge, direct visualization of collagen architecture has not been reported. The authors sought to perform the first direct visualization of GBM collagen architecture, identify clinically relevant collagen signatures, and link them to differential patient survival. METHODS Second-harmonic generation microscopy was used to detect collagen in a GBM patient tissue microarray. Focal and invasive GBM mouse xenografts were stained with Picrosirius red. Quantitation of collagen fibers was performed using custom software. Multivariate survival analysis was done to determine if collagen is a survival marker for patients. RESULTS In focal xenografts, collagen was observed at tumor brain boundaries. For invasive xenografts, collagen was intercalated with tumor cells. Quantitative analysis showed significant differences in collagen fibers for focal and invasive xenografts. The authors also found that GBM patients with more organized collagen had a longer median survival than those with less organized collagen. CONCLUSIONS Collagen architecture can be directly visualized and is different in focal versus invasive GBMs. The authors also demonstrate that collagen signature is associated with patient survival. These findings suggest that there are collagen differences in focal versus invasive GBMs and that collagen is a survival marker for GBM.

The blind brain: how (lack of) vision shapes the morphological and functional architecture of the human brain.

Science.gov (United States)

Ricciardi, Emiliano; Handjaras, Giacomo; Pietrini, Pietro

2014-11-01

Since the early days, how we represent the world around us has been a matter of philosophical speculation. Over the last few decades, modern neuroscience, and specifically the development of methodologies for the structural and the functional exploration of the brain have made it possible to investigate old questions with an innovative approach. In this brief review, we discuss the main findings from a series of brain anatomical and functional studies conducted in sighted and congenitally blind individuals by our's and others' laboratories. Historically, research on the 'blind brain' has focused mainly on the cross-modal plastic changes that follow sensory deprivation. More recently, a novel line of research has been developed to determine to what extent visual experience is truly required to achieve a representation of the surrounding environment. Overall, the results of these studies indicate that most of the brain fine morphological and functional architecture is programmed to develop and function independently from any visual experience. Distinct cortical areas are able to process information in a supramodal fashion, that is, independently from the sensory modality that carries that information to the brain. These observations strongly support the hypothesis of a modality-independent, i.e. more abstract, cortical organization, and may contribute to explain how congenitally blind individuals may interact efficiently with an external world that they have never seen. © 2014 by the Society for Experimental Biology and Medicine.

Architecture and Initial Development of a Digital Library Platform for Computable Knowledge Objects for Health.

Science.gov (United States)

Flynn, Allen J; Bahulekar, Namita; Boisvert, Peter; Lagoze, Carl; Meng, George; Rampton, James; Friedman, Charles P

2017-01-01

Throughout the world, biomedical knowledge is routinely generated and shared through primary and secondary scientific publications. However, there is too much latency between publication of knowledge and its routine use in practice. To address this latency, what is actionable in scientific publications can be encoded to make it computable. We have created a purpose-built digital library platform to hold, manage, and share actionable, computable knowledge for health called the Knowledge Grid Library. Here we present it with its system architecture.

Architecture on Architecture

DEFF Research Database (Denmark)

Olesen, Karen

2016-01-01

that is not scientific or academic but is more like a latent body of data that we find embedded in existing works of architecture. This information, it is argued, is not limited by the historical context of the work. It can be thought of as a virtual capacity – a reservoir of spatial configurations that can...... correlation between the study of existing architectures and the training of competences to design for present-day realities.......This paper will discuss the challenges faced by architectural education today. It takes as its starting point the double commitment of any school of architecture: on the one hand the task of preserving the particular knowledge that belongs to the discipline of architecture, and on the other hand...

Altered functional connectivity architecture of the brain in medication overuse headache using resting state fMRI.

Science.gov (United States)

Chen, Zhiye; Chen, Xiaoyan; Liu, Mengqi; Dong, Zhao; Ma, Lin; Yu, Shengyuan

2017-12-01

Functional connectivity density (FCD) could identify the abnormal intrinsic and spontaneous activity over the whole brain, and a seed-based resting-state functional connectivity (RSFC) could further reveal the altered functional network with the identified brain regions. This may be an effective assessment strategy for headache research. This study is to investigate the RSFC architecture changes of the brain in the patients with medication overuse headache (MOH) using FCD and RSFC methods. 3D structure images and resting-state functional MRI data were obtained from 37 MOH patients, 18 episodic migraine (EM) patients and 32 normal controls (NCs). FCD was calculated to detect the brain regions with abnormal functional activity over the whole brain, and the seed-based RSFC was performed to explore the functional network changes in MOH and EM. The decreased FCD located in right parahippocampal gyrus, and the increased FCD located in left inferior parietal gyrus and right supramarginal gyrus in MOH compared with NC, and in right caudate and left insula in MOH compared with EM. RSFC revealed that decreased functional connectivity of the brain regions with decreased FCD anchored in the right dorsal-lateral prefrontal cortex, right frontopolar cortex in MOH, and in left temporopolar cortex and bilateral visual cortices in EM compared with NC, and in frontal-temporal-parietal pattern in MOH compared with EM. These results provided evidence that MOH and EM suffered from altered intrinsic functional connectivity architecture, and the current study presented a new perspective for understanding the neuromechanism of MOH and EM pathogenesis.

[Brain injury knowledge in family members of neurosurgical patients].

Science.gov (United States)

Navarro-Main, Blanca; Castaño-León, Ana M; Munarriz, Pablo M; Gómez, Pedro A; Rios-Lago, Marcos; Lagares, Alfonso

Several studies have shown misconceptions about brain injury in different populations. The aim of this study was to assess the knowledge and perceptions about brain injury of family members of neurosurgical patients in our hospital. The participants (n=81) were relatives of patients admitted to the neurosurgery department between February and August 2016. They voluntarily completed a 19-item true-false format survey about brain injury based on a translation of other questionnaires used in previous studies from other countries (USA, Canada, UK, Ireland and New Zealand). Also, some sociodemographic data were collected (age, sex, education level and the patient's pathology). Data analysis was developed through graphical modelling with a regularisation parameter plotted on a network representing the association of the items of the questionnaire from the response pattern of participants. Data analysis showed two conceptual areas with a high rate of wrong answers: behaviour and management of patients, and expectations about acquired brain injury recovery. The results obtained in this study would enable us to objectify misconceptions about acquired brain injury in patients' relatives attended in the neurosurgery department. This lack of knowledge could be a great obstacle in patients' recovery process. Therefore, we suggest placing the emphasis on the provision of information on brain injury to patients' families, especially with regard to its symptoms and course of development. Copyright © 2017 Sociedad Española de Neurocirugía. Publicado por Elsevier España, S.L.U. All rights reserved.

Software architecture as a set of architectural design decisions

NARCIS (Netherlands)

Jansen, Anton; Bosch, Jan; Nord, R; Medvidovic, N; Krikhaar, R; Khrhaar, R; Stafford, J; Bosch, J

2006-01-01

Software architectures have high costs for change, are complex, and erode during evolution. We believe these problems are partially due to knowledge vaporization. Currently, almost all the knowledge and information about the design decisions the architecture is based on are implicitly embedded in

SUSTAINABLE ARCHITECTURE : WHAT ARCHITECTURE STUDENTS THINK

OpenAIRE

SATWIKO, PRASASTO

2013-01-01

Sustainable architecture has become a hot issue lately as the impacts of climate change become more intense. Architecture educations have responded by integrating knowledge of sustainable design in their curriculum. However, in the real life, new buildings keep coming with designs that completely ignore sustainable principles. This paper discusses the results of two national competitions on sustainable architecture targeted for architecture students (conducted in 2012 and 2013). The results a...

Handbook of Brain Connectivity

CERN Document Server

Jirsa, Viktor K

2007-01-01

Our contemporary understanding of brain function is deeply rooted in the ideas of the nonlinear dynamics of distributed networks. Cognition and motor coordination seem to arise from the interactions of local neuronal networks, which themselves are connected in large scales across the entire brain. The spatial architectures between various scales inevitably influence the dynamics of the brain and thereby its function. But how can we integrate brain connectivity amongst these structural and functional domains? Our Handbook provides an account of the current knowledge on the measurement, analysis and theory of the anatomical and functional connectivity of the brain. All contributors are leading experts in various fields concerning structural and functional brain connectivity. In the first part of the Handbook, the chapters focus on an introduction and discussion of the principles underlying connected neural systems. The second part introduces the currently available non-invasive technologies for measuring struct...

ANALYSIS OF THE KEY ACTIVITIES OF THE LIFE CYCLE OF KNOWLEDGE MANAGEMENT IN THE UNIVERSITY AND DEVELOPMENT OF THE CONCEPTUAL ARCHITECTURE OF THE KNOWLEDGE MANAGEMENT SYSTEM

Directory of Open Access Journals (Sweden)

Eugene N. Tcheremsina

2013-01-01

Full Text Available This article gives an analysis of the key activities of the life cycle of knowledge management in terms of the features of knowledge management in higher education. Based on the analysis we propose the model of the conceptual architecture of virtual knowledge-space of a university. The proposed model is the basis for the development of kernel intercollegiate virtual knowledge-space, based on cloud technology. 

Design, Analysis and User Acceptance of Architectural Design Education in Learning System Based on Knowledge Management Theory

Science.gov (United States)

Wu, Yun-Wu; Lin, Yu-An; Wen, Ming-Hui; Perng, Yeng-Hong; Hsu, I-Ting

2016-01-01

The major purpose of this study is to develop an architectural design knowledge management learning system with corresponding learning activities to help the students have meaningful learning and improve their design capability in their learning process. Firstly, the system can help the students to obtain and share useful knowledge. Secondly,…

An Architecture for Performance Optimization in a Collaborative Knowledge-Based Approach for  Wireless Sensor Networks

Directory of Open Access Journals (Sweden)

Juan Ramon Velasco

2011-09-01

Full Text Available Over the past few years, Intelligent Spaces (ISs have received the attention of many Wireless Sensor Network researchers. Recently, several studies have been devoted to identify their common capacities and to set up ISs over these networks. However, little attention has been paid to integrating Fuzzy Rule-Based Systems into collaborative Wireless Sensor Networks for the purpose of implementing ISs. This work presents a distributed architecture proposal for collaborative Fuzzy Rule-Based Systems embedded in Wireless Sensor Networks, which has been designed to optimize the implementation of ISs. This architecture includes the following: (a an optimized design for the inference engine; (b a visual interface; (c a module to reduce the redundancy and complexity of the knowledge bases; (d a module to evaluate the accuracy of the new knowledge base; (e a module to adapt the format of the rules to the structure used by the inference engine; and (f a communications protocol. As a real-world application of this architecture and the proposed methodologies, we show an application to the problem of modeling two plagues of the olive tree: prays (olive moth, Prays oleae Bern. and repilo (caused by the fungus Spilocaea oleagina. The results show that the architecture presented in this paper significantly decreases the consumption of resources (memory, CPU and battery without a substantial decrease in the accuracy of the inferred values.

A systematic review and meta-analysis of sleep architecture and chronic traumatic brain injury.

Science.gov (United States)

Mantua, Janna; Grillakis, Antigone; Mahfouz, Sanaa H; Taylor, Maura R; Brager, Allison J; Yarnell, Angela M; Balkin, Thomas J; Capaldi, Vincent F; Simonelli, Guido

2018-02-02

Sleep quality appears to be altered by traumatic brain injury (TBI). However, whether persistent post-injury changes in sleep architecture are present is unknown and relatively unexplored. We conducted a systematic review and meta-analysis to assess the extent to which chronic TBI (>6 months since injury) is characterized by changes to sleep architecture. We also explored the relationship between sleep architecture and TBI severity. In the fourteen included studies, sleep was assessed with at least one night of polysomnography in both chronic TBI participants and controls. Statistical analyses, performed using Comprehensive Meta-Analysis software, revealed that chronic TBI is characterized by relatively increased slow wave sleep (SWS). A meta-regression showed moderate-severe TBI is associated with elevated SWS, reduced stage 2, and reduced sleep efficiency. In contrast, mild TBI was not associated with any significant alteration of sleep architecture. The present findings are consistent with the hypothesis that increased SWS after moderate-severe TBI reflects post-injury cortical reorganization and restructuring. Suggestions for future research are discussed, including adoption of common data elements in future studies to facilitate cross-study comparability, reliability, and replicability, thereby increasing the likelihood that meaningful sleep (and other) biomarkers of TBI will be identified. Copyright © 2018 Elsevier Ltd. All rights reserved.

Exploring brain function from anatomical connectivity

Directory of Open Access Journals (Sweden)

Gorka eZamora-López

2011-06-01

Full Text Available The intrinsic relationship between the architecture of the brain and the range of sensory and behavioral phenomena it produces is a relevant question in neuroscience. Here, we review recent knowledge gained on the architecture of the anatomical connectivity by means of complex network analysis. It has been found that corticocortical networks display a few prominent characteristics: (i modular organization, (ii abundant alternative processing paths and (iii the presence of highly connected hubs. Additionally, we present a novel classification of cortical areas of the cat according to the role they play in multisensory connectivity. All these properties represent an ideal anatomical substrate supporting rich dynamical behaviors, as-well-as facilitating the capacity of the brain to process sensory information of different modalities segregated and to integrate them towards a comprehensive perception of the real world. The result here exposed are mainly based in anatomical data of cats’ brain, but we show how further observations suggest that, from worms to humans, the nervous system of all animals might share fundamental principles of organization.

Integration of Structural Knowledge in Design Studio Project: Assessment Study of Curriculum In Architecture Course in University Of Malaya

Directory of Open Access Journals (Sweden)

Aniza Abdul Aziz

2010-12-01

Full Text Available Architectural education should advance in parallel with the industrial growth of building technology. Universities as producers of future architects have yet to develop curriculums for building technology to suit the growth of the building industry. This gap between education and industrial growth has been a topic of debate for many researchers who are concerned about architectural pedagogy. Architectural instruction further aggravated the problem whereby in most architectural schools worldwide, teaching is divided between the design studio, where the design projects are taught and lecture classes where the technical parts are taught. The latter should be integrated with design studio to enhance design levels. Students face difficulty integrating and applying the structural knowledge gained from structure classes into their design. One explanation for this deficiency is because the current architectural structure subject's content is borrowed from an engineering syllabus. This study will examine the course content, instruction styles and method of teaching structure subjects and will investigate the learning outcomes of design studio through students' performance and perception in integrating structural knowledge in their design projects. Respondents were students from Year 1 to Year 5 doing their Bachelor of Science in Architecture and Bachelor of Architecture degrees in University of Malaya. Semi-structured interviews were conducted with the design studio coordinators and structure lecturers. This study aims to find the ideal course content/method of teaching to facilitate more integration between structure and design studio.

Neural codes of seeing architectural styles.

Science.gov (United States)

Choo, Heeyoung; Nasar, Jack L; Nikrahei, Bardia; Walther, Dirk B

2017-01-10

Images of iconic buildings, such as the CN Tower, instantly transport us to specific places, such as Toronto. Despite the substantial impact of architectural design on people's visual experience of built environments, we know little about its neural representation in the human brain. In the present study, we have found patterns of neural activity associated with specific architectural styles in several high-level visual brain regions, but not in primary visual cortex (V1). This finding suggests that the neural correlates of the visual perception of architectural styles stem from style-specific complex visual structure beyond the simple features computed in V1. Surprisingly, the network of brain regions representing architectural styles included the fusiform face area (FFA) in addition to several scene-selective regions. Hierarchical clustering of error patterns further revealed that the FFA participated to a much larger extent in the neural encoding of architectural styles than entry-level scene categories. We conclude that the FFA is involved in fine-grained neural encoding of scenes at a subordinate-level, in our case, architectural styles of buildings. This study for the first time shows how the human visual system encodes visual aspects of architecture, one of the predominant and longest-lasting artefacts of human culture.

Architectural Theatricality

DEFF Research Database (Denmark)

Tvedebrink, Tenna Doktor Olsen

environments and a knowledge gap therefore exists in present hospital designs. Consequently, the purpose of this thesis has been to investigate if any research-based knowledge exist supporting the hypothesis that the interior architectural qualities of eating environments influence patient food intake, health...... and well-being, as well as outline a set of basic design principles ‘predicting’ the future interior architectural qualities of patient eating environments. Methodologically the thesis is based on an explorative study employing an abductive approach and hermeneutic-interpretative strategy utilizing tactics...... and food intake, as well as a series of references exist linking the interior architectural qualities of healthcare environments with the health and wellbeing of patients. On the basis of these findings, the thesis presents the concept of Architectural Theatricality as well as a set of design principles...

Long-term knowledge acquisition using contextual information in a memory-inspired robot architecture

Science.gov (United States)

Pratama, Ferdian; Mastrogiovanni, Fulvio; Lee, Soon Geul; Chong, Nak Young

2017-03-01

In this paper, we present a novel cognitive framework allowing a robot to form memories of relevant traits of its perceptions and to recall them when necessary. The framework is based on two main principles: on the one hand, we propose an architecture inspired by current knowledge in human memory organisation; on the other hand, we integrate such an architecture with the notion of context, which is used to modulate the knowledge acquisition process when consolidating memories and forming new ones, as well as with the notion of familiarity, which is employed to retrieve proper memories given relevant cues. Although much research has been carried out, which exploits Machine Learning approaches to provide robots with internal models of their environment (including objects and occurring events therein), we argue that such approaches may not be the right direction to follow if a long-term, continuous knowledge acquisition is to be achieved. As a case study scenario, we focus on both robot-environment and human-robot interaction processes. In case of robot-environment interaction, a robot performs pick and place movements using the objects in the workspace, at the same time observing their displacement on a table in front of it, and progressively forms memories defined as relevant cues (e.g. colour, shape or relative position) in a context-aware fashion. As far as human-robot interaction is concerned, the robot can recall specific snapshots representing past events using both sensory information and contextual cues upon request by humans.

Preservation vs Innovation. Sustainable rehabilitation in architectural preservation contexts: knowledge, techniques, languages

Directory of Open Access Journals (Sweden)

Riccardo Gulli

2012-12-01

Full Text Available The theme of the preservation of the characteristics of protected architectural heritage must nowadays be correlated to new requirements for the adaptation of existing buildings to performance standards. This subject raises new questions about the theoretical assumptions and tools to be adopted to coherently answer that request. Focusing on the theme of energy requalification of heritage buildings - the primary focus of interest for the reduction of pollution emissions, according to Horizon 2020 objectives - the preservation of the meanings of an architecture work and of its linguistic, typological and material characteristics proofs to be essential for protection interventions on buildings. However this can’t be considered exhaustive, as the raised issue necessarily requires to be further addressed within the speculative domain of Technique, or rather to open out to the contribution that innovation processes and methods belonging to the field of scientific knowledge could offer.

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.

Architecture and Knowledge-Driven Self-Adaptive Security in Smart Space

Directory of Open Access Journals (Sweden)

Antti Evesti

2013-03-01

Full Text Available Dynamic and heterogeneous smart spaces cause challenges for security because it is impossible to anticipate all the possible changes at design-time. Self-adaptive security is an applicable solution for this challenge. This paper presents an architectural approach for security adaptation in smart spaces. The approach combines an adaptation loop, Information Security Measuring Ontology (ISMO and a smart space security-control model. The adaptation loop includes phases to monitor, analyze, plan and execute changes in the smart space. The ISMO offers input knowledge for the adaptation loop and the security-control model enforces dynamic access control policies. The approach is novel because it defines the whole adaptation loop and knowledge required in each phase of the adaptation. The contributions are validated as a part of the smart space pilot implementation. The approach offers reusable and extensible means to achieve adaptive security in smart spaces and up-to-date access control for devices that appear in the space. Hence, the approach supports the work of smart space application developers.

A multi-agent architecture for sharing knowledge and experimental data about waste water treatment plants through the Internet

International Nuclear Information System (INIS)

Abu Yaman, I. R.; Kerckhoffs, J. E.

1998-01-01

In this paper, we present a first prototype of a local multi-agent architecture for the sharing of knowledge and experimental data about waste water treatment plants through the Internet, or more specifically the WWW. Applying a net browser such as nets cape, a user can have access to a CLIPS expert system (advising on waste water cleaning technologies) and experimental data files. The discussed local prototype is part of proposed global agent architecture. (authors)

Connecting Learning: Brain-Based Strategies for Linking Prior Knowledge in the Library Media Center

Science.gov (United States)

Vanderbilt, Kathi L.

2005-01-01

The brain is a complex organ and learning is a complex process. While there is not complete agreement among researchers about brain-based learning and its direct connection to neuroscience, knowledge about the brain as well as the examination of cognitive psychology, anthropology, professional experience, and educational research can provide…

Knowledge Management Practice in Two Australian Architecture-Engineering-Construction (AEC Companies

Directory of Open Access Journals (Sweden)

Patrick Zou

2012-11-01

Full Text Available Knowledge management (KM could be described as a management system that supports the creation, sharing and retrieving of valued information, expertise and insight within and across communities of people and related organizations using information and communication technologies and hence it is a combination of the effective application of information technlogy and management of human resources. KM is becoming a core competitive factor in construction operations. This paper presents the results of two case studies of KM practices in large AEC (architecture, engineering and construction companies through desk-top study and semi-structured interviews. The results indicate that implementing KM in AEC companies leads to competitive advantages and improved decision-making, problem solving and business performance. The results also indicateed that while technology plays an important role, top management commitment, total employee involvement, performance assessment and the culture of knowledge-learning and sharing must be considered when implementing KM. Therefore it is suggested that the implementation of KM should incorporate the company's vision, work processes, technology and culture, to improve the ability of knowledge creating, capturing, sharing, retrieving and ultimately, to improve the company's competitive advantage, decision making, problem solving and innovation.

A computational architecture for social agents

Energy Technology Data Exchange (ETDEWEB)

Bond, A.H. [California Institute of Technology, Pasadena, CA (United States)

1996-12-31

This article describes a new class of information-processing models for social agents. They axe derived from primate brain architecture, the processing in brain regions, the interactions among brain regions, and the social behavior of primates. In another paper, we have reviewed the neuroanatomical connections and functional involvements of cortical regions. We reviewed the evidence for a hierarchical architecture in the primate brain. By examining neuroanatomical evidence for connections among neural areas, we were able to establish anatomical regions and connections. We then examined evidence for specific functional involvements of the different neural axeas and found some support for hierarchical functioning, not only for the perception hierarchies but also for the planning and action hierarchy in the frontal lobes.

Altered intrinsic functional brain architecture in female patients with bulimia nervosa.

Science.gov (United States)

Wang, Li; Kong, Qing-Mei; Li, Ke; Li, Xue-Ni; Zeng, Ya-Wei; Chen, Chao; Qian, Ying; Feng, Shi-Jie; Li, Ji-Tao; Su, Yun'Ai; Correll, Christoph U; Mitchell, Philip B; Yan, Chao-Gan; Zhang, Da-Rong; Si, Tian-Mei

2017-11-01

Bulimia nervosa is a severe psychiatric syndrome with uncertain pathogenesis. Neural systems involved in sensorimotor and visual processing, reward and impulsive control may contribute to the binge eating and purging behaviours characterizing bulimia nervosa. However, little is known about the alterations of functional organization of whole brain networks in individuals with this disorder. We used resting-state functional MRI and graph theory to characterize functional brain networks of unmedicated women with bulimia nervosa and healthy women. We included 44 unmedicated women with bulimia nervosa and 44 healthy women in our analyses. Women with bulimia nervosa showed increased clustering coefficient and path length compared with control women. The nodal strength in patients with the disorder was higher in the sensorimotor and visual regions as well as the precuneus, but lower in several subcortical regions, such as the hippocampus, parahippocampal gyrus and orbitofrontal cortex. Patients also showed hyperconnectivity primarily involving sensorimotor and unimodal visual association regions, but hypoconnectivity involving subcortical (striatum, thalamus), limbic (amygdala, hippocampus) and paralimbic (orbitofrontal cortex, parahippocampal gyrus) regions. The topological aberrations correlated significantly with scores of bulimia and drive for thinness and with body mass index. We reruited patients with only acute bulimia nervosa, so it is unclear whether the topological abnormalities comprise vulnerability markers for the disorder developing or the changes associated with illness state. Our findings show altered intrinsic functional brain architecture, specifically abnormal global and local efficiency, as well as nodal- and network-level connectivity across sensorimotor, visual, subcortical and limbic systems in women with bulimia nervosa, suggesting that it is a disorder of dysfunctional integration among large-scale distributed brain regions. These abnormalities

A study on knowledge and attitude toward brain death and organ retrieval among health care professionals in Korea.

Science.gov (United States)

Jeon, K O; Kim, B N; Kim, H S; Byeon, N-I; Hong, J J; Bae, S H; Son, S Y

2012-05-01

The practice of retrieving vital organs from brain-dead donors is legally and medically accepted in Korea, but health care professionals' beliefs and opinions regarding these matters have not been sufficiently explored. The purpose of this study was to evaluate the knowledge and attitudes of health care professionals to the concepts of brain death and organ retrieval. Data were collected using a 41-item questionnaire during a week in June 2011. Sixty-one doctors and 109 nurses from five hospitals with more than 2000 beds in Seoul, Korea, participated in the survey. The data was analyzed using SPSS version 17.0 (SPSS Inc. Chicago, Illinois, USA). There were statistically significant differences in the scores on knowledge according to marital status (P = .001) education level (P = .019), whether the participants were informed about organ donation from a brain-dead donor (P = .002), and the participant's experience managing potential brain-dead patients (P = .037). There were statistically significant differences in the scores on the attitude according to gender (P based organ procurement organization (P = .001). Significantly, attitude's positively correlated with knowledge about brain-dead organ donation (P < .001). Compared with previous studies, the knowledge and attitudes of health care professionals' regarding brain death and organ retrieval were not improved. There are passive attitudes to brain death and organ retrieval. More research must be performed to promote knowledge and understanding toward brain death and organ retrieval among health care professionals. Copyright © 2012 Elsevier Inc. All rights reserved.

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.

Implementation of a metadata architecture and knowledge collection to support semantic interoperability in an enterprise data warehouse.

Science.gov (United States)

Dhaval, Rakesh; Borlawsky, Tara; Ostrander, Michael; Santangelo, Jennifer; Kamal, Jyoti; Payne, Philip R O

2008-11-06

In order to enhance interoperability between enterprise systems, and improve data validity and reliability throughout The Ohio State University Medical Center (OSUMC), we have initiated the development of an ontology-anchored metadata architecture and knowledge collection for our enterprise data warehouse. The metadata and corresponding semantic relationships stored in the OSUMC knowledge collection are intended to promote consistency and interoperability across the heterogeneous clinical, research, business and education information managed within the data warehouse.

Alterations of Brain Functional Architecture Associated with Psychopathic Traits in Male Adolescents with Conduct Disorder.

Science.gov (United States)

Pu, Weidan; Luo, Qiang; Jiang, Yali; Gao, Yidian; Ming, Qingsen; Yao, Shuqiao

2017-09-12

Psychopathic traits of conduct disorder (CD) have a core callous-unemotional (CU) component and an impulsive-antisocial component. Previous task-driven fMRI studies have suggested that psychopathic traits are associated with dysfunction of several brain areas involved in different cognitive functions (e.g., empathy, reward, and response inhibition etc.), but the relationship between psychopathic traits and intrinsic brain functional architecture has not yet been explored in CD. Using a holistic brain-wide functional connectivity analysis, this study delineated the alterations in brain functional networks in patients with conduct disorder. Compared with matched healthy controls, we found decreased anti-synchronization between the fronto-parietal network (FPN) and default mode network (DMN), and increased intra-network synchronization within the frontothalamic-basal ganglia, right frontoparietal, and temporal/limbic/visual networks in CD patients. Correlation analysis showed that the weakened FPN-DMN interaction was associated with CU traits, while the heightened intra-network functional connectivity was related to impulsivity traits in CD patients. Our findings suggest that decoupling of cognitive control (FPN) with social understanding of others (DMN) is associated with the CU traits, and hyper-functions of the reward and motor inhibition systems elevate impulsiveness in CD.

Structural architecture supports functional organization in the human aging brain at a regionwise and network level.

Science.gov (United States)

Zimmermann, Joelle; Ritter, Petra; Shen, Kelly; Rothmeier, Simon; Schirner, Michael; McIntosh, Anthony R

2016-07-01

Functional interactions in the brain are constrained by the underlying anatomical architecture, and structural and functional networks share network features such as modularity. Accordingly, age-related changes of structural connectivity (SC) may be paralleled by changes in functional connectivity (FC). We provide a detailed qualitative and quantitative characterization of the SC-FC coupling in human aging as inferred from resting-state blood oxygen-level dependent functional magnetic resonance imaging and diffusion-weighted imaging in a sample of 47 adults with an age range of 18-82. We revealed that SC and FC decrease with age across most parts of the brain and there is a distinct age-dependency of regionwise SC-FC coupling and network-level SC-FC relations. A specific pattern of SC-FC coupling predicts age more reliably than does regionwise SC or FC alone (r = 0.73, 95% CI = [0.7093, 0.8522]). Hence, our data propose that regionwise SC-FC coupling can be used to characterize brain changes in aging. Hum Brain Mapp 37:2645-2661, 2016. © 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

Brain Knowledge and the Prevalence of Neuromyths among Prospective Teachers in Greece

Directory of Open Access Journals (Sweden)

Marietta Papadatou-Pastou

2017-05-01

Full Text Available Although very often teachers show a great interest in introducing findings from the field of neuroscience in their classrooms, there is growing concern about the lack of academic instruction on neuroscience on teachers' curricula because this has led to a proliferation of neuromyths. We surveyed 479 undergraduate (mean age = 19.60 years, SD = 2.29 and 94 postgraduate students (mean age = 28.52 years, SD = 7.16 enrolled in Departments of Education at the University of Thessaly and the National and Kapodistrian University of Athens. We used a 70-item questionnaire aiming to explore general knowledge on the brain, neuromyths, the participants' attitude toward neuroeducation as well as their reading habits. Prospective teachers were found to believe that neuroscience knowledge is useful for teachers (90.3% agreement, to be somewhat knowledgeable when it comes to the brain (47.33% of the assertions were answered correctly, but to be less well informed when it comes to neuroscientific issues related to special education (36.86% correct responses. Findings further indicate that general knowledge about the brain was found to be the best safeguard against believing in neuromyths. Based on our results we suggest that prospective teachers can benefit from academic instruction on neuroscience. We propose that such instruction takes place in undergraduate courses of Departments of Education and that emphasis is given in debunking neuromyths, enhancing critical reading skills, and dealing with topics relevant to special education.

Brain Knowledge and the Prevalence of Neuromyths among Prospective Teachers in Greece.

Science.gov (United States)

Papadatou-Pastou, Marietta; Haliou, Eleni; Vlachos, Filippos

2017-01-01

Although very often teachers show a great interest in introducing findings from the field of neuroscience in their classrooms, there is growing concern about the lack of academic instruction on neuroscience on teachers' curricula because this has led to a proliferation of neuromyths. We surveyed 479 undergraduate (mean age = 19.60 years, SD = 2.29) and 94 postgraduate students (mean age = 28.52 years, SD = 7.16) enrolled in Departments of Education at the University of Thessaly and the National and Kapodistrian University of Athens. We used a 70-item questionnaire aiming to explore general knowledge on the brain, neuromyths, the participants' attitude toward neuroeducation as well as their reading habits. Prospective teachers were found to believe that neuroscience knowledge is useful for teachers (90.3% agreement), to be somewhat knowledgeable when it comes to the brain (47.33% of the assertions were answered correctly), but to be less well informed when it comes to neuroscientific issues related to special education (36.86% correct responses). Findings further indicate that general knowledge about the brain was found to be the best safeguard against believing in neuromyths. Based on our results we suggest that prospective teachers can benefit from academic instruction on neuroscience. We propose that such instruction takes place in undergraduate courses of Departments of Education and that emphasis is given in debunking neuromyths, enhancing critical reading skills, and dealing with topics relevant to special education.

Neural codes of seeing architectural styles

OpenAIRE

Choo, Heeyoung; Nasar, Jack L.; Nikrahei, Bardia; Walther, Dirk B.

2017-01-01

Images of iconic buildings, such as the CN Tower, instantly transport us to specific places, such as Toronto. Despite the substantial impact of architectural design on people′s visual experience of built environments, we know little about its neural representation in the human brain. In the present study, we have found patterns of neural activity associated with specific architectural styles in several high-level visual brain regions, but not in primary visual cortex (V1). This finding sugges...

Patterns of regional brain hypometabolism associated with knowledge of semantic features and categories in alzheimer's disease

DEFF Research Database (Denmark)

Zahn, R.; Garrard, P.; Talazko, J.

2006-01-01

damage to distributed representations within nonspecialized brain areas. To our knowledge, there have been no direct correlations of neuroimaging of in vivo brain function in AD with performance on tasks differentially addressing visual and functional knowledge of living and nonliving concepts. We used...... properties of nonliving objects. Visual property verification of living objects was significantly correlated with left posterior fusiform gyrus metabolism (Brodmann's area [BA] 37/19). Effects of visual and functional property verification for nonliving objects largely overlapped in the left anterior...... and nonliving concepts, as well as visual feature knowledge of living objects, and against distributed accounts of semantic memory that view visual and functional features of living and nonliving objects as distributed across a common set of brain areas....

The adult brain tissue response to hollow fiber membranes of varying surface architecture with or without cotransplanted cells

Science.gov (United States)

Zhang, Ning

A variety of biomaterials have been chronically implanted into the central nervous system (CNS) for repair or therapeutic purposes. Regardless of the application, chronic implantation of materials into the CNS induces injury and elicits a wound healing response, eventually leading to the formation of a dense extracellular matrix (ECM)-rich scar tissue that is associated with the segregation of implanted materials from the surrounding normal tissue. Often this reaction results in impaired performance of indwelling CNS devices. In order to enhance the performance of biomaterial-based implantable devices in the CNS, this thesis investigated whether adult brain tissue response to implanted biomaterials could be manipulated by changing biomaterial surface properties or further by utilizing the biology of co-transplanted cells. Specifically, the adult rat brain tissue response to chronically implanted poly(acrylonitrile-vinylchloride) (PAN-PVC) hollow fiber membranes (HFMs) of varying surface architecture were examined temporally at 2, 4, and 12 weeks postimplantation. Significant differences were discovered in the brain tissue response to the PAN-PVC HFMs of varying surface architecture at 4 and 12 weeks. To extend this work, whether the soluble factors derived from a co-transplanted cellular component further affect the brain tissue response to an implanted HFM in a significant way was critically exploited. The cells used were astrocytes, whose ability to influence scar formation process following CNS injury by physical contact with the host tissue had been documented in the literature. Data indicated for the first time that astrocyte-derived soluble factors ameliorate the adult brain tissue reactivity toward HFM implants in an age-dependent manner. While immature astrocytes secreted soluble factors that suppressed the brain tissue reactivity around the implants, mature astrocytes secreted factors that enhanced the gliotic response. These findings prove the feasibility

"Re-Casting Terra Nullius Design-Blindness": Better Teaching of Indigenous Knowledge and Protocols in Australian Architecture Education

Science.gov (United States)

Tucker, Richard; Choy, Darryl Low; Heyes, Scott; Revell, Grant; Jones, David

2018-01-01

This paper reviews the current status and focus of Australian Architecture programs with respect to Indigenous Knowledge and the extent to which these tertiary programs currently address reconciliation and respect to Indigenous Australians in relation to their professional institutions and accreditation policies. The paper draws upon the findings…

Architectural Physics: Lighting.

Science.gov (United States)

Hopkinson, R. G.

The author coordinates the many diverse branches of knowledge which have dealt with the field of lighting--physiology, psychology, engineering, physics, and architectural design. Part I, "The Elements of Architectural Physics", discusses the physiological aspects of lighting, visual performance, lighting design, calculations and measurements of…

Building the Knowledge Base to Support the Automatic Animation Generation of Chinese Traditional Architecture

Science.gov (United States)

Wei, Gongjin; Bai, Weijing; Yin, Meifang; Zhang, Songmao

We present a practice of applying the Semantic Web technologies in the domain of Chinese traditional architecture. A knowledge base consisting of one ontology and four rule bases is built to support the automatic generation of animations that demonstrate the construction of various Chinese timber structures based on the user's input. Different Semantic Web formalisms are used, e.g., OWL DL, SWRL and Jess, to capture the domain knowledge, including the wooden components needed for a given building, construction sequence, and the 3D size and position of every piece of wood. Our experience in exploiting the current Semantic Web technologies in real-world application systems indicates their prominent advantages (such as the reasoning facilities and modeling tools) as well as the limitations (such as low efficiency).

Artificial cognition architectures

CERN Document Server

Crowder, James A; Friess, Shelli A

2013-01-01

The goal of this book is to establish the foundation, principles, theory, and concepts that are the backbone of real, autonomous Artificial Intelligence. Presented here are some basic human intelligence concepts framed for Artificial Intelligence systems. These include concepts like Metacognition and Metamemory, along with architectural constructs for Artificial Intelligence versions of human brain functions like the prefrontal cortex. Also presented are possible hardware and software architectures that lend themselves to learning, reasoning, and self-evolution

Large-scale functional MRI analysis to accumulate knowledge on brain functions

International Nuclear Information System (INIS)

Schwartz, Yannick

2015-01-01

How can we accumulate knowledge on brain functions? How can we leverage years of research in functional MRI to analyse finer-grained psychological constructs, and build a comprehensive model of the brain? Researchers usually rely on single studies to delineate brain regions recruited by mental processes. They relate their findings to previous works in an informal way by defining regions of interest from the literature. Meta-analysis approaches provide a more principled way to build upon the literature. This thesis investigates three ways to assemble knowledge using activation maps from a large amount of studies. First, we present an approach that uses jointly two similar fMRI experiments, to better condition an analysis from a statistical standpoint. We show that it is a valuable data-driven alternative to traditional regions of interest analyses, but fails to provide a systematic way to relate studies, and thus does not permit to integrate knowledge on a large scale. Because of the difficulty to associate multiple studies, we resort to using a single dataset sampling a large number of stimuli for our second contribution. This method estimates functional networks associated with functional profiles, where the functional networks are interacting brain regions and the functional profiles are a weighted set of cognitive descriptors. This work successfully yields known brain networks and automatically associates meaningful descriptions. Its limitations lie in the unsupervised nature of this method, which is more difficult to validate, and the use of a single dataset. It however brings the notion of cognitive labels, which is central to our last contribution. Our last contribution presents a method that learns functional atlases by combining several datasets. [Henson 2006] shows that forward inference, i.e. the probability of an activation given a cognitive process, is often not sufficient to conclude on the engagement of brain regions for a cognitive process

Harnessing the Risk-Related Data Supply Chain: An Information Architecture Approach to Enriching Human System Research and Operations Knowledge

Science.gov (United States)

Buquo, Lynn E.; Johnson-Throop, Kathy A.

2011-01-01

An Information Architecture facilitates the understanding and, hence, harnessing of the human system risk-related data supply chain which enhances the ability to securely collect, integrate, and share data assets that improve human system research and operations. By mapping the risk-related data flow from raw data to useable information and knowledge (think of it as a data supply chain), the Human Research Program (HRP) and Space Life Science Directorate (SLSD) are building an information architecture plan to leverage their existing, and often shared, IT infrastructure.

Understanding the causes of architecture changes using OSS mailing lists

NARCIS (Netherlands)

Ding, Wei; Liang, Peng; Tang, Anthony; Van Vliet, Hans

2015-01-01

The causes of architecture changes can tell about why architecture changes, and this knowledge can be captured to prevent architecture knowledge vaporization and architecture degeneration. But the causes are not always known, especially in open source software (OSS) development. This makes it very

Microprocessor architectures RISC, CISC and DSP

CERN Document Server

Heath, Steve

1995-01-01

'Why are there all these different processor architectures and what do they all mean? Which processor will I use? How should I choose it?' Given the task of selecting an architecture or design approach, both engineers and managers require a knowledge of the whole system and an explanation of the design tradeoffs and their effects. This is information that rarely appears in data sheets or user manuals. This book fills that knowledge gap.Section 1 provides a primer and history of the three basic microprocessor architectures. Section 2 describes the ways in which the architectures react with the

Emotion regulation ability varies in relation to intrinsic functional brain architecture.

Science.gov (United States)

Uchida, Mai; Biederman, Joseph; Gabrieli, John D E; Micco, Jamie; de Los Angeles, Carlo; Brown, Ariel; Kenworthy, Tara; Kagan, Elana; Whitfield-Gabrieli, Susan

2015-12-01

This study investigated the neural basis of individual variation in emotion regulation, specifically the ability to reappraise negative stimuli so as to down-regulate negative affect. Brain functions in young adults were measured with functional Magnetic Resonance Imaging during three conditions: (i) attending to neutral pictures; (ii) attending to negative pictures and (iii) reappraising negative pictures. Resting-state functional connectivity was measured with amygdala and dorsolateral prefrontal cortical (DLPFC) seed regions frequently associated with emotion regulation. Participants reported more negative affect after attending to negative than neutral pictures, and less negative affect following reappraisal. Both attending to negative vs neutral pictures and reappraising vs attending to negative pictures yielded widespread activations that were significantly right-lateralized for attending to negative pictures and left-lateralized for reappraising negative pictures. Across participants, more successful reappraisal correlated with less trait anxiety and more positive daily emotion, greater activation in medial and lateral prefrontal regions, and lesser resting-state functional connectivity between (a) right amygdala and both medial prefrontal and posterior cingulate cortices, and (b) bilateral DLPFC and posterior visual cortices. The ability to regulate emotion, a source of resilience or of risk for distress, appears to vary in relation to differences in intrinsic functional brain architecture. © The Author (2015). Published by Oxford University Press. For Permissions, please email: journals.permissions@oup.com.

Economics-driven software architecture

CERN Document Server

Mistrik, Ivan; Kazman, Rick; Zhang, Yuanyuan

2014-01-01

Economics-driven Software Architecture presents a guide for engineers and architects who need to understand the economic impact of architecture design decisions: the long term and strategic viability, cost-effectiveness, and sustainability of applications and systems. Economics-driven software development can increase quality, productivity, and profitability, but comprehensive knowledge is needed to understand the architectural challenges involved in dealing with the development of large, architecturally challenging systems in an economic way. This book covers how to apply economic consider

Architecture Between Mind and Empirical Experience

Directory of Open Access Journals (Sweden)

Shatha Abbas Hassan

2016-10-01

Full Text Available The research aims to identify the level of balance in the architectural thought influenced by the rational type human consciousness, the materialistic based on the Empirical type, moral based on human experience as source of knowledge. This was reflected in architecture in the specialized thought that the mind is the source of knowledge which explains the phenomena of life. The rational approach based on objectivity and methodology in (Form Production, the other approach is based on subjectivity in form production (Form Inspiration. The research problem is that there is imbalance in the relationship between the rational side and the human experience in architecture, which led into imbalance between theory and application in architecture according to architectural movements.

The architecture of the chess player's brain.

Science.gov (United States)

Hänggi, Jürgen; Brütsch, Karin; Siegel, Adrian M; Jäncke, Lutz

2014-09-01

The game of chess can be seen as a typical example for an expertise task requiring domain-specific training and experience. Despite intensive behavioural studies the neural underpinnings of chess performance and expertise are not entirely understood. A few functional neuroimaging studies have shown that expert chess players recruit different psychological functions and activate different brain areas while they are engaged in chess-related activities. Based on this functional literature, we predicted to find morphological differences in a network comprised by parietal and frontal areas and especially the occipito-temporal junction (OTJ), fusiform gyrus, and caudate nucleus. Twenty expert chess players and 20 control subjects were investigated using voxel-based and surface-based morphometry as well as diffusion tensor imaging. Grey matter volume and cortical thickness were reduced in chess players compared with those of control men in the OTJ and precunei. The volumes of both caudate nuclei were not different between groups, but correlated inversely with the years of chess playing experience. Mean diffusivity was increased in chess players compared with that of controls in the left superior longitudinal fasciculus and the Elo score (a chess tournament ranking) was inversely related to mean diffusivity within the right superior longitudinal fasciculus. To the best of our knowledge we showed for the first time that there are specific differences in grey and white matter morphology between chess players and control subjects in brain regions associated with cognitive functions important for playing chess. Whether these anatomical alterations are the cause or consequence of the intensive and long-term chess training and practice remains to be shown in future studies. Copyright © 2014 Elsevier Ltd. All rights reserved.

Principles of Network Architecture Emerging from Comparisons of the Cerebral Cortex in Large and Small Brains.

Directory of Open Access Journals (Sweden)

Barbara L Finlay

2016-09-01

Full Text Available The cerebral cortex retains its fundamental organization, layering, and input-output relations as it scales in volume over many orders of magnitude in mammals. How is its network architecture affected by size scaling? By comparing network organization of the mouse and rhesus macaque cortical connectome derived from complete neuroanatomical tracing studies, a recent study in PLOS Biology shows that an exponential distance rule emerges that reveals the falloff in connection probability with distance in the two brains that in turn determines common organizational features.

The development of brain network architecture

NARCIS (Netherlands)

Wierenga, Lara M.; van den Heuvel, Martijn P.; van Dijk, Sarai; Rijks, Yvonne; de Reus, Marcel A.; Durston, Sarah

2016-01-01

Brain connectivity shows protracted development throughout childhood and adolescence, and, as such, the topology of brain networks changes during this period. The complexity of these changes with development is reflected by regional differences in maturation. This study explored age-related changes

A Collaborative Knowledge Plane for Autonomic Networks

Science.gov (United States)

Mbaye, Maïssa; Krief, Francine

Autonomic networking aims to give network components self-managing capabilities. Several autonomic architectures have been proposed. Each of these architectures includes sort of a knowledge plane which is very important to mimic an autonomic behavior. Knowledge plane has a central role for self-functions by providing suitable knowledge to equipment and needs to learn new strategies for more accuracy.However, defining knowledge plane's architecture is still a challenge for researchers. Specially, defining the way cognitive supports interact each other in knowledge plane and implementing them. Decision making process depends on these interactions between reasoning and learning parts of knowledge plane. In this paper we propose a knowledge plane's architecture based on machine learning (inductive logic programming) paradigm and situated view to deal with distributed environment. This architecture is focused on two self-functions that include all other self-functions: self-adaptation and self-organization. Study cases are given and implemented.

The role of material evidence in architectural research

DEFF Research Database (Denmark)

2011-01-01

The following texts explore the production of knowledge in architectural research. Focussing on a wide definition of practice led research, the aim for these texts is to discuss how the practices of architectural design; drawing, modelling, prototyping and building embody a particular set of know...... emerges are the fundamental crossovers between these practices. What we see here is that drawing is as much a practice of theoretical reflection as one of detailing, prototyping as much one of physical as conceptual testing.......The following texts explore the production of knowledge in architectural research. Focussing on a wide definition of practice led research, the aim for these texts is to discuss how the practices of architectural design; drawing, modelling, prototyping and building embody a particular set...... of knowledges that inform architectural thinking. Architectural reflection is allied with it media. It is through the drawing, the model and the built that architecture is conceived and developed. In practice based research working through design means reflecting through the production of material evidence...

Buildings, Beauty, and the Brain: A Neuroscience of Architectural Experience.

Science.gov (United States)

Coburn, Alex; Vartanian, Oshin; Chatterjee, Anjan

2017-09-01

A burgeoning interest in the intersection of neuroscience and architecture promises to offer biologically inspired insights into the design of spaces. The goal of such interdisciplinary approaches to architecture is to motivate construction of environments that would contribute to peoples' flourishing in behavior, health, and well-being. We suggest that this nascent field of neuroarchitecture is at a pivotal point in which neuroscience and architecture are poised to extend to a neuroscience of architecture. In such a research program, architectural experiences themselves are the target of neuroscientific inquiry. Here, we draw lessons from recent developments in neuroaesthetics to suggest how neuroarchitecture might mature into an experimental science. We review the extant literature and offer an initial framework from which to contextualize such research. Finally, we outline theoretical and technical challenges that lie ahead.

[Evaluation of medical students knowledge on brain death].

Science.gov (United States)

Bitencourt, Almir Galvão Vieira; Neves, Flávia Branco Cerqueira Serra; Durães, Larissa; Nascimento, Diego Teixeira; Neves, Nedy Maria Branco Cerqueira; Torreão, Lara de Araújo; Agareno, Sydney

2007-06-01

Because brain death (BD) is a new concept and little divulged, it’s not well accepted in general population, including doctors and Medical students. This study aims to evaluate the knowledge of a sample of Medical students on the Brazilian BD diagnosis protocol. Descriptive cross-sectional survey that evaluated students from two medical schools in Salvador-BA. We used a questionnaire composed by questions about technical and ethical knowledge contained in the Federal Council of Medicine’s Resolution nº 1480/97 that establishes the criteria for BD diagnosis. We evaluated 115 Medical students. In 14 questions about the knowledge of BD criteria, the mean of right answers were 6.7 ± 1.8, which were higher among the students that had attended some presentation on BD. Most of the students (87.4%) knew how to identify the candidates to the BD diagnosis protocol. However, only 5.2% and 16.1% of the students answered right, respectively, the clinical and complementary tests that should be accomplished during the diagnosis protocol. Facing a no-donor patient with confirmed diagnosis of BD, 66.4% referred that artificial life support should be suspended. Only 15% of the interviewed students had already evaluated a patient with BD, being this percentage higher among those who had already frequented ICU (38.2% versus 5.1%; p knowledge of the evaluated students on BD diagnosis criteria, mainly in relation to the practical approach of this condition.

The Perceptions of Teachers Regarding Their Knowledge, Beliefs, and Practices of Brain-Based Learning Strategies

Science.gov (United States)

Ridley, Janice Rebecca Becky

2012-01-01

The purpose of this dissertation was to assess K-12 teachers' perceptions of knowledge, beliefs, and practices toward brain-based learning strategies, how their knowledge relates to their beliefs and practices, and how their beliefs relate to their classroom practices. This research also investigated relationships between teachers' gender, years…

A distributed clinical decision support system architecture

Directory of Open Access Journals (Sweden)

Shaker H. El-Sappagh

2014-01-01

Full Text Available This paper proposes an open and distributed clinical decision support system architecture. This technical architecture takes advantage of Electronic Health Record (EHR, data mining techniques, clinical databases, domain expert knowledge bases, available technologies and standards to provide decision-making support for healthcare professionals. The architecture will work extremely well in distributed EHR environments in which each hospital has its own local EHR, and it satisfies the compatibility, interoperability and scalability objectives of an EHR. The system will also have a set of distributed knowledge bases. Each knowledge base will be specialized in a specific domain (i.e., heart disease, and the model achieves cooperation, integration and interoperability between these knowledge bases. Moreover, the model ensures that all knowledge bases are up-to-date by connecting data mining engines to each local knowledge base. These data mining engines continuously mine EHR databases to extract the most recent knowledge, to standardize it and to add it to the knowledge bases. This framework is expected to improve the quality of healthcare, reducing medical errors and guaranteeing the safety of patients by helping clinicians to make correct, accurate, knowledgeable and timely decisions.

A scalable architecture for incremental specification and maintenance of procedural and declarative clinical decision-support knowledge.

Science.gov (United States)

Hatsek, Avner; Shahar, Yuval; Taieb-Maimon, Meirav; Shalom, Erez; Klimov, Denis; Lunenfeld, Eitan

2010-01-01

Clinical guidelines have been shown to improve the quality of medical care and to reduce its costs. However, most guidelines exist in a free-text representation and, without automation, are not sufficiently accessible to clinicians at the point of care. A prerequisite for automated guideline application is a machine-comprehensible representation of the guidelines. In this study, we designed and implemented a scalable architecture to support medical experts and knowledge engineers in specifying and maintaining the procedural and declarative aspects of clinical guideline knowledge, resulting in a machine comprehensible representation. The new framework significantly extends our previous work on the Digital electronic Guidelines Library (DeGeL) The current study designed and implemented a graphical framework for specification of declarative and procedural clinical knowledge, Gesher. We performed three different experiments to evaluate the functionality and usability of the major aspects of the new framework: Specification of procedural clinical knowledge, specification of declarative clinical knowledge, and exploration of a given clinical guideline. The subjects included clinicians and knowledge engineers (overall, 27 participants). The evaluations indicated high levels of completeness and correctness of the guideline specification process by both the clinicians and the knowledge engineers, although the best results, in the case of declarative-knowledge specification, were achieved by teams including a clinician and a knowledge engineer. The usability scores were high as well, although the clinicians' assessment was significantly lower than the assessment of the knowledge engineers.

Landscape Architectural Design as Scientific Inquiry?

OpenAIRE

Lenzholzer, S.

2011-01-01

This presentation discusses ‘landscape architectural design as scientific inquiry’ and exemplifies this with the description of a design process within climate-responsive design leading to new design knowledge. ‘Research and design’ are issues that need increasing attention within landscape architecture academia. Substantial contributions on ‘research’ and ‘design’ exist within architectural theory [1,2,3,4]. However, within landscape architecture, there are only few publications on this topi...

Virtual Neurorobotics (VNR) to Accelerate Development of Plausible Neuromorphic Brain Architectures.

Science.gov (United States)

Goodman, Philip H; Buntha, Sermsak; Zou, Quan; Dascalu, Sergiu-Mihai

2007-01-01

Traditional research in artificial intelligence and machine learning has viewed the brain as a specially adapted information-processing system. More recently the field of social robotics has been advanced to capture the important dynamics of human cognition and interaction. An overarching societal goal of this research is to incorporate the resultant knowledge about intelligence into technology for prosthetic, assistive, security, and decision support applications. However, despite many decades of investment in learning and classification systems, this paradigm has yet to yield truly "intelligent" systems. For this reason, many investigators are now attempting to incorporate more realistic neuromorphic properties into machine learning systems, encouraged by over two decades of neuroscience research that has provided parameters that characterize the brain's interdependent genomic, proteomic, metabolomic, anatomic, and electrophysiological networks. Given the complexity of neural systems, developing tenable models to capture the essence of natural intelligence for real-time application requires that we discriminate features underlying information processing and intrinsic motivation from those reflecting biological constraints (such as maintaining structural integrity and transporting metabolic products). We propose herein a conceptual framework and an iterative method of virtual neurorobotics (VNR) intended to rapidly forward-engineer and test progressively more complex putative neuromorphic brain prototypes for their ability to support intrinsically intelligent, intentional interaction with humans. The VNR system is based on the viewpoint that a truly intelligent system must be driven by emotion rather than programmed tasking, incorporating intrinsic motivation and intentionality. We report pilot results of a closed-loop, real-time interactive VNR system with a spiking neural brain, and provide a video demonstration as online supplemental material.

Transcriptional profiles of supragranular-enriched genes associate with corticocortical network architecture in the human brain.

Science.gov (United States)

Krienen, Fenna M; Yeo, B T Thomas; Ge, Tian; Buckner, Randy L; Sherwood, Chet C

2016-01-26

The human brain is patterned with disproportionately large, distributed cerebral networks that connect multiple association zones in the frontal, temporal, and parietal lobes. The expansion of the cortical surface, along with the emergence of long-range connectivity networks, may be reflected in changes to the underlying molecular architecture. Using the Allen Institute's human brain transcriptional atlas, we demonstrate that genes particularly enriched in supragranular layers of the human cerebral cortex relative to mouse distinguish major cortical classes. The topography of transcriptional expression reflects large-scale brain network organization consistent with estimates from functional connectivity MRI and anatomical tracing in nonhuman primates. Microarray expression data for genes preferentially expressed in human upper layers (II/III), but enriched only in lower layers (V/VI) of mouse, were cross-correlated to identify molecular profiles across the cerebral cortex of postmortem human brains (n = 6). Unimodal sensory and motor zones have similar molecular profiles, despite being distributed across the cortical mantle. Sensory/motor profiles were anticorrelated with paralimbic and certain distributed association network profiles. Tests of alternative gene sets did not consistently distinguish sensory and motor regions from paralimbic and association regions: (i) genes enriched in supragranular layers in both humans and mice, (ii) genes cortically enriched in humans relative to nonhuman primates, (iii) genes related to connectivity in rodents, (iv) genes associated with human and mouse connectivity, and (v) 1,454 gene sets curated from known gene ontologies. Molecular innovations of upper cortical layers may be an important component in the evolution of long-range corticocortical projections.

Renewing Theories, Methods and Design Practices: Challenges for Architectural Education

Directory of Open Access Journals (Sweden)

Andri Yatmo Yandi

2018-01-01

Full Text Available Architectural education should promote the advancement of knowledge that is necessary as the basis for the development of excellent design practice. Architectural education needs to respond appropriately to the current issues in the society. To find its way into the society in an appropriate way, architecture needs to be liquid. The ability to address the liquidity of architecture requires educational approach that promotes the ability to work with a range of design methods and approaches. There are several principles that become the basis for developing architectural education that could strengthen its position within the society: to promote knowledge-based design practice, to embrace variety of design methods and approaches; to keep a balance between design knowledge and design skills; while at the same time to aim for mastery and excellence in design. These principles should be the basis for defining and developing the curriculum and the process of design learning architectural education. Then the main challenge is on our willingness to be liquid in developing architectural education, which needs continuous renewal and update to respond to the changing context of knowledge, technology and society.

The Functional Architecture of the Brain Underlies Strategic Deception in Impression Management.

Science.gov (United States)

Luo, Qiang; Ma, Yina; Bhatt, Meghana A; Montague, P Read; Feng, Jianfeng

2017-01-01

Impression management, as one of the most essential skills of social function, impacts one's survival and success in human societies. However, the neural architecture underpinning this social skill remains poorly understood. By employing a two-person bargaining game, we exposed three strategies involving distinct cognitive processes for social impression management with different levels of strategic deception. We utilized a novel adaptation of Granger causality accounting for signal-dependent noise (SDN), which captured the directional connectivity underlying the impression management during the bargaining game. We found that the sophisticated strategists engaged stronger directional connectivity from both dorsal anterior cingulate cortex and retrosplenial cortex to rostral prefrontal cortex, and the strengths of these directional influences were associated with higher level of deception during the game. Using the directional connectivity as a neural signature, we identified the strategic deception with 80% accuracy by a machine-learning classifier. These results suggest that different social strategies are supported by distinct patterns of directional connectivity among key brain regions for social cognition.

Teaching About "Brain and Learning" in High School Biology Classes: Effects on Teachers' Knowledge and Students' Theory of Intelligence.

Science.gov (United States)

Dekker, Sanne; Jolles, Jelle

2015-01-01

This study evaluated a new teaching module about "Brain and Learning" using a controlled design. The module was implemented in high school biology classes and comprised three lessons: (1) brain processes underlying learning; (2) neuropsychological development during adolescence; and (3) lifestyle factors that influence learning performance. Participants were 32 biology teachers who were interested in "Brain and Learning" and 1241 students in grades 8-9. Teachers' knowledge and students' beliefs about learning potential were examined using online questionnaires. Results indicated that before intervention, biology teachers were significantly less familiar with how the brain functions and develops than with its structure and with basic neuroscientific concepts (46 vs. 75% correct answers). After intervention, teachers' knowledge of "Brain and Learning" had significantly increased (64%), and more students believed that intelligence is malleable (incremental theory). This emphasizes the potential value of a short teaching module, both for improving biology teachers' insights into "Brain and Learning," and for changing students' beliefs about intelligence.

Teaching about ‘Brain & Learning’ in high school biology classes: Effects on teachers’ knowledge and students’ theory of intelligence

Directory of Open Access Journals (Sweden)

Sanne eDekker

2015-12-01

Full Text Available This study evaluated a new teaching module about ‘Brain&Learning’ using a controlled design. The module was implemented in high school biology classes and comprised three lessons: 1 brain processes underlying learning; 2 neuropsychological development during adolescence; and 3 lifestyle factors that influence learning performance. Participants were 32 biology teachers who were interested in ‘Brain&Learning’ and 1241 students in grades 8-9. Teachers’ knowledge and students’ beliefs about learning potential were examined using online questionnaires. Results indicated that before intervention, biology teachers were significantly less familiar with how the brain functions and develops than with its structure and with basic neuroscientific concepts (46% vs. 75% correct answers. After intervention, teachers’ knowledge of ‘Brain&Learning’ had significantly increased (64%, and more students believed that intelligence is malleable (incremental theory. This emphasizes the potential value of a short teaching module, both for improving biology teachers’ insights into ‘Brain&Learning’, and for changing students’ beliefs about intelligence.

Models for Evaluating and Improving Architecture Competence

National Research Council Canada - National Science Library

Bass, Len; Clements, Paul; Kazman, Rick; Klein, Mark

2008-01-01

Software architecture competence is the ability of an individual or organization to acquire, use, and sustain the skills and knowledge necessary to carry out software architecture-centric practices...

Architectural Qualities in Passive Houses

DEFF Research Database (Denmark)

Brunsgaard, Camilla

2012-01-01

that it is possible to build this type of houses, but the knowledge and discussion about the architectural quality in the buildings is hardly present. The question is if the strategies for optimising energy use and indoor environment collide with the architectural qualities of buildings. This paper brings forth...... this discussion based in literature and four case studies. The paper highlights cases on how passive strategies for optimising energy use and indoor environment affect, restrict, inspire or create possibilities for the architectural expression and there through the architectural quality of the building....

As We May Think and Be: Brain-computer interfaces to expand the substrate of mind

Directory of Open Access Journals (Sweden)

Mijail Demian Serruya

2015-04-01

Full Text Available Over a half-century ago, the scientist Vannevar Bush explored the conundrum of how to tap the exponentially rising sea of human knowledge for the betterment of humanity. In his description of a hypothetical electronic library he dubbed the memex, he anticipated internet search and online encyclopedias (Bush, 1945. By blurring the boundary between brain and computer, brain-computer interfaces (BCI could lead to more efficient use of electronic resources (Schalk, 2008. We could expand the substrate of the mind itself rather than merely interfacing it to external computers. Components of brain-computer interfaces could be re-arranged to create brain-brain interfaces, or tightly interconnected links between a person’s brain and ectopic neural modules. Such modules – whether sitting in a bubbling Petri dish, rendered in reciprocally linked integrated circuits, or implanted in our belly – would mark the first step on to a path of breaking out of the limitations imposed by our phylogenetic past Novel BCI architectures could generate novel abilities to navigate and access information that might speed translational science efforts and push the boundaries of human knowledge in an unprecedented manner.

Conservation of local architecture from primary education

Directory of Open Access Journals (Sweden)

Paula Esther Azcuy Chiroles

2005-12-01

Full Text Available The knowledge of the local architecture in the primary school is insufficient, according to results of the diagnosis carried out for the investigation of the Project of Local Art of the Artistic Education Department of ISP “Rafael M. Mendive.” The lack of systematic work was demonstrated in the promotion of local architecture starting from the subject of Plastic arts, in its curricular and extracurricular components. This is the reason for presenting an Strategy for the promotion of the local architecture in primary teaching, with a System of Activities for the promotion of the local civil architecture that allows the motivation of the students, professors, family and Institutions toward the acquisition of knowledge on the local artistic culture, and the appreciation of the most illustrative architectural patrimonial values in Pinar del Río city.

Using the knowledge-and-appraisal personality architecture to predict self-efficacy within individual persons.

Science.gov (United States)

Wise, James B

2008-10-01

The knowledge-and-appraisal personality architecture has potential as a theoretical framework for understanding the formation of self-efficacy in individuals. Two patterns were observed within 14 of 17 individual persons: a pattern of strong self-efficacy was displayed across outdoor recreation activities for which a self-descriptive attribute was viewed as an asset to successful performances, and a pattern of relatively weak self-efficacy was observed across outdoor recreation activities for which the same attribute was considered a hindrance to performances. Although the theory predicts self-efficacy within individuals, more research is needed to assess why the theory is not accurate in all cases.

Architectural Prototyping in Industrial Practice

DEFF Research Database (Denmark)

Christensen, Henrik Bærbak; Hansen, Klaus Marius

2008-01-01

Architectural prototyping is the process of using executable code to investigate stakeholders’ software architecture concerns with respect to a system under development. Previous work has established this as a useful and cost-effective way of exploration and learning of the design space of a system......, in addressing issues regarding quality attributes, in addressing architectural risks, and in addressing the problem of knowledge transfer and conformance. Little work has been reported so far on the actual industrial use of architectural prototyping. In this paper, we report from an ethnographical study...... and focus group involving architects from four companies in which we have focused on architectural prototypes. Our findings conclude that architectural prototypes play an important role in resolving problems experimentally, but less so in exploring alternative solutions. Furthermore, architectural...

Architectural theory in Eastern Europe during the Enlightenment

Directory of Open Access Journals (Sweden)

Basile Baudez

2015-12-01

Full Text Available Scholars working on architectural theory have recently benefitted from several important editions of treatises published during the Enlightenment, but few manuscripts have received the attention they deserve and we still have until now a relatively limited knowledge of the architectural culture outside Western Europe. Carolyn C. Guile’s translation and edition of Ignacy Potocki (1750-1809’s Remarks on Architecture with Pennsylvania State University Press offers an exceptional case-study of what rigorous and inventive scholarship can bring to our knowledge not only of the strategies at work in the Polish-Lithuanian commonwealth but also of the Enlightenment European architectural theory in general.

A Cooperative Coevolution Approach to Automate Pattern-based Software Architectural Synthesis

NARCIS (Netherlands)

Xu, Y.R.; Liang, P.

2014-01-01

To reuse successful experience in software architecture design, architects use architectural patterns as reusable architectural knowledge for architectural synthesis. However, it has been observed that the resulting architecture does not always conform to the initial architectural patterns employed.

Architectural patterns and quality attributes interaction

NARCIS (Netherlands)

Me, G.; Calero Munoz, C.; Lago, P.; Muccini, H.

2016-01-01

Architectural patterns and styles represent common solutions to recurrent problems. They encompass architectural knowledge about how to achieve holistic system quality. The relation between patterns (or styles) and quality attributes has been regularly addressed in the literature. However, there is

Architecture and Stages of the Experience City

DEFF Research Database (Denmark)

This book presents more than 41 articles on ‘Architecture and Stages of the Experience City'. The aim of the book is to investigate current challenges related to architecture, art and city life in the ‘Experience City' and it is presenting cutting edge knowledge and experiences within the following...... themes: Experience City Making Digital Architecture Stages in the Experience City The City as a Learning Lab Experience City Architecture Performative Architecture Art and Performance Urban Catalyst and Temporary Use...

The development of brain network architecture.

Science.gov (United States)

Wierenga, Lara M; van den Heuvel, Martijn P; van Dijk, Sarai; Rijks, Yvonne; de Reus, Marcel A; Durston, Sarah

2016-02-01

Brain connectivity shows protracted development throughout childhood and adolescence, and, as such, the topology of brain networks changes during this period. The complexity of these changes with development is reflected by regional differences in maturation. This study explored age-related changes in network topology and regional developmental patterns during childhood and adolescence. We acquired two sets of Diffusion Weighted Imaging-scans and anatomical T1-weighted scans. The first dataset included 85 typically developing individuals (53 males; 32 females), aged between 7 and 23 years and was acquired on a Philips Achieva 1.5 Tesla scanner. A second dataset (N = 38) was acquired on a different (but identical) 1.5 T scanner and was used for independent replication of our results. We reconstructed whole brain networks using tractography. We operationalized fiber tract development as changes in mean diffusivity and radial diffusivity with age. Most fibers showed maturational changes in mean and radial diffusivity values throughout childhood and adolescence, likely reflecting increasing white matter integrity. The largest age-related changes were observed in association fibers within and between the frontal and parietal lobes. Furthermore, there was a simultaneous age-related decrease in average path length (P maturational model where connections between unimodal regions strengthen in childhood, followed by connections from these unimodal regions to association regions, while adolescence is characterized by the strengthening of connections between association regions within the frontal and parietal cortex. Hum Brain Mapp 37:717-729, 2016. © 2015 Wiley Periodicals, Inc. © 2015 Wiley Periodicals, Inc.

Cyto- and receptor architecture of area 32 in human and macaque brains.

Science.gov (United States)

Palomero-Gallagher, Nicola; Zilles, Karl; Schleicher, Axel; Vogt, Brent A

2013-10-01

Human area 32 plays crucial roles in emotion and memory consolidation. It has subgenual (s32), pregenual (p32), dorsal, and midcingulate components. We seek to determine whether macaque area 32 has subgenual and pregenual subdivisions and the extent to which they are comparable to those in humans by means of NeuN immunohistochemistry and multireceptor analysis of laminar profiles. The macaque has areas s32 and p32. In s32, layer IIIa/b neurons are larger than those of layer IIIc. This relationship is reversed in p32. Layer Va is thicker and Vb thinner in s32. Area p32 contains higher kainate, benzodiazepine (BZ), and serotonin (5-HT)1A but lower N-methyl-D-aspartate (NMDA) and α2 receptor densities. Most differences were found in layers I, II, and VI. Together, these differences support the dual nature of macaque area 32. Comparative analysis of human and macaque s32 and p32 supports equivalences in cyto- and receptor architecture. Although there are differences in mean areal receptor densities, there are considerable similarities at the layer level. Laminar receptor distribution patterns in each area are comparable in the two species in layers III-Va for kainate, NMDA, γ-aminobutyric acid (GABA)B , BZ, and 5-HT1A receptors. Multivariate statistical analysis of laminar receptor densities revealed that human s32 is more similar to macaque s32 and p32 than to human p32. Thus, macaque 32 is more complex than hitherto known. Our data suggest a homologous neural architecture in anterior cingulate s32 and p32 in human and macaque brains. © 2013 Wiley Periodicals, Inc.

Tai Chi Chuan Optimizes the Functional Organization of the Intrinsic Human Brain Architecture in Older Adults

Directory of Open Access Journals (Sweden)

Gao-Xia eWei

2014-04-01

Full Text Available Whether Tai Chi Chuan (TCC can influence the intrinsic functional architecture of the human brain remains unclear. To examine TCC-associated changes in functional connectomes, resting-state functional magnetic resonance images were acquired from 40 older individuals including 22 experienced TCC practitioners (experts and 18 demographically matched TCC-naïve healthy controls, and their local functional homogeneities across the cortical mantle were compared. Compared to the controls, the TCC experts had significantly greater and more experience-dependent functional homogeneity in the right postcentral gyrus (PosCG and less functional homogeneity in the left anterior cingulate cortex (ACC and the right dorsal lateral prefrontal cortex (DLPFC. Increased functional homogeneity in the PosCG was correlated with TCC experience. Intriguingly, decreases in functional homogeneity (improved functional specialization in the left ACC and increases in functional homogeneity (improved functional integration in the right PosCG both predicted performance gains on attention network behavior tests. These findings provide evidence for the functional plasticity of the brain’s intrinsic architecture toward optimizing locally functional organization, with great implications for understanding the effects of TCC on cognition, behavior and health in aging population.

Materials Driven Architectural Design and Representation

DEFF Research Database (Denmark)

Kruse Aagaard, Anders

2015-01-01

This paper aims to outline a framework for a deeper connection between experimentally obtained material knowledge and architectural design. While materials and architecture in the process of realisation are tightly connected, architectural design and representation are often distanced from...... another role in relation to architectural production. It is, in this paper, the intention to point at material research as an active initiator in explorative approaches to architectural design methods and architectural representation. This paper will point at the inclusion of tangible and experimental...... material research in the early phases of architectural design and to that of the architectural set of tools and representation. The paper will through use of existing research and the author’s own material research and practice suggest a way of using a combination of digital drawing, digital fabrication...

Preindustrial versus postindustrial Architecture and Building Techniques

DEFF Research Database (Denmark)

Vestergaard, Inge

2014-01-01

How can preindustrial architecture inspire sustainable thinking in postindustrial architectural design? How can we learn from experience and how can social, economic and environmental conditions give perspectives and guide a knowledge based evolution of basic experience towards modern industriali......How can preindustrial architecture inspire sustainable thinking in postindustrial architectural design? How can we learn from experience and how can social, economic and environmental conditions give perspectives and guide a knowledge based evolution of basic experience towards modern...... industrialized building processes? Identification of sustainable parameters related to change in society, to building technique and to comfort are illustrated through two Danish building types, which are different in time, but similar in function. One representing evolution and experience based countryside...... fisherman’s house built around year 1700; and second a frontrunner suburban family house built year 2008. The analysis involves architectural, technical and comfort matters and will state the levels of design, social conditions, sustainable and energy efficient parameters. Results will show lessons learned...

Essential software architecture

CERN Document Server

Gorton, Ian

2011-01-01

Job titles like ""Technical Architect"" and ""Chief Architect"" nowadays abound in software industry, yet many people suspect that ""architecture"" is one of the most overused and least understood terms in professional software development. Gorton's book tries to resolve this dilemma. It concisely describes the essential elements of knowledge and key skills required to be a software architect. The explanations encompass the essentials of architecture thinking, practices, and supporting technologies. They range from a general understanding of structure and quality attributes through technical i

Molecular basis of angiosperm tree architecture.

Science.gov (United States)

Hollender, Courtney A; Dardick, Chris

2015-04-01

The architecture of trees greatly impacts the productivity of orchards and forestry plantations. Amassing greater knowledge on the molecular genetics that underlie tree form can benefit these industries, as well as contribute to basic knowledge of plant developmental biology. This review describes the fundamental components of branch architecture, a prominent aspect of tree structure, as well as genetic and hormonal influences inferred from studies in model plant systems and from trees with non-standard architectures. The bulk of the molecular and genetic data described here is from studies of fruit trees and poplar, as these species have been the primary subjects of investigation in this field of science. No claim to original US Government works. New Phytologist © 2014 New Phytologist Trust.

Digitally-Driven Architecture

Directory of Open Access Journals (Sweden)

Henriette Bier

2014-07-01

Full Text Available The shift from mechanical to digital forces architects to reposition themselves: Architects generate digital information, which can be used not only in designing and fabricating building components but also in embedding behaviours into buildings. This implies that, similar to the way that industrial design and fabrication with its concepts of standardisation and serial production influenced modernist architecture, digital design and fabrication influences contemporary architecture. While standardisation focused on processes of rationalisation of form, mass-customisation as a new paradigm that replaces mass-production, addresses non-standard, complex, and flexible designs. Furthermore, knowledge about the designed object can be encoded in digital data pertaining not just to the geometry of a design but also to its physical or other behaviours within an environment. Digitally-driven architecture implies, therefore, not only digitally-designed and fabricated architecture, it also implies architecture – built form – that can be controlled, actuated, and animated by digital means.In this context, this sixth Footprint issue examines the influence of digital means as pragmatic and conceptual instruments for actuating architecture. The focus is not so much on computer-based systems for the development of architectural designs, but on architecture incorporating digital control, sens­ing, actuating, or other mechanisms that enable buildings to inter­act with their users and surroundings in real time in the real world through physical or sensory change and variation.

Interactive natural language acquisition in a multi-modal recurrent neural architecture

Science.gov (United States)

Heinrich, Stefan; Wermter, Stefan

2018-01-01

For the complex human brain that enables us to communicate in natural language, we gathered good understandings of principles underlying language acquisition and processing, knowledge about sociocultural conditions, and insights into activity patterns in the brain. However, we were not yet able to understand the behavioural and mechanistic characteristics for natural language and how mechanisms in the brain allow to acquire and process language. In bridging the insights from behavioural psychology and neuroscience, the goal of this paper is to contribute a computational understanding of appropriate characteristics that favour language acquisition. Accordingly, we provide concepts and refinements in cognitive modelling regarding principles and mechanisms in the brain and propose a neurocognitively plausible model for embodied language acquisition from real-world interaction of a humanoid robot with its environment. In particular, the architecture consists of a continuous time recurrent neural network, where parts have different leakage characteristics and thus operate on multiple timescales for every modality and the association of the higher level nodes of all modalities into cell assemblies. The model is capable of learning language production grounded in both, temporal dynamic somatosensation and vision, and features hierarchical concept abstraction, concept decomposition, multi-modal integration, and self-organisation of latent representations.

The Functional Architecture of the Brain Underlies Strategic Deception in Impression Management

Directory of Open Access Journals (Sweden)

Qiang Luo

2017-11-01

Full Text Available Impression management, as one of the most essential skills of social function, impacts one's survival and success in human societies. However, the neural architecture underpinning this social skill remains poorly understood. By employing a two-person bargaining game, we exposed three strategies involving distinct cognitive processes for social impression management with different levels of strategic deception. We utilized a novel adaptation of Granger causality accounting for signal-dependent noise (SDN, which captured the directional connectivity underlying the impression management during the bargaining game. We found that the sophisticated strategists engaged stronger directional connectivity from both dorsal anterior cingulate cortex and retrosplenial cortex to rostral prefrontal cortex, and the strengths of these directional influences were associated with higher level of deception during the game. Using the directional connectivity as a neural signature, we identified the strategic deception with 80% accuracy by a machine-learning classifier. These results suggest that different social strategies are supported by distinct patterns of directional connectivity among key brain regions for social cognition.

Introduction of an agent-based multi-scale modular architecture for dynamic knowledge representation of acute inflammation.

Science.gov (United States)

An, Gary

2008-05-27

One of the greatest challenges facing biomedical research is the integration and sharing of vast amounts of information, not only for individual researchers, but also for the community at large. Agent Based Modeling (ABM) can provide a means of addressing this challenge via a unifying translational architecture for dynamic knowledge representation. This paper presents a series of linked ABMs representing multiple levels of biological organization. They are intended to translate the knowledge derived from in vitro models of acute inflammation to clinically relevant phenomenon such as multiple organ failure. ABM development followed a sequence starting with relatively direct translation from in-vitro derived rules into a cell-as-agent level ABM, leading on to concatenated ABMs into multi-tissue models, eventually resulting in topologically linked aggregate multi-tissue ABMs modeling organ-organ crosstalk. As an underlying design principle organs were considered to be functionally composed of an epithelial surface, which determined organ integrity, and an endothelial/blood interface, representing the reaction surface for the initiation and propagation of inflammation. The development of the epithelial ABM derived from an in-vitro model of gut epithelial permeability is described. Next, the epithelial ABM was concatenated with the endothelial/inflammatory cell ABM to produce an organ model of the gut. This model was validated against in-vivo models of the inflammatory response of the gut to ischemia. Finally, the gut ABM was linked to a similarly constructed pulmonary ABM to simulate the gut-pulmonary axis in the pathogenesis of multiple organ failure. The behavior of this model was validated against in-vivo and clinical observations on the cross-talk between these two organ systems. A series of ABMs are presented extending from the level of intracellular mechanism to clinically observed behavior in the intensive care setting. The ABMs all utilize cell-level agents

An Architecture for Emotional and Context-Aware Associative Learning for Robot Companions

OpenAIRE

Rizzi Raymundo, C.; Johnson, C. G.; Vargas, P. A.

2015-01-01

This work proposes a theoretical architectural model based on the brain's fear learning system with the purpose of generating artificial fear conditioning at both stimuli and context abstraction levels in robot companions. The proposed architecture is inspired by the different brain regions involved in fear learning, here divided into four modules that work in an integrated and parallel manner: the sensory system, the amygdala system, the hippocampal system and the working memory. Each of the...

‘Research through designing’ in landscape architecture

NARCIS (Netherlands)

Lenzholzer, S.; Duchhart, I.; Koh, J.

2013-01-01

There is a general consensus amongst landscape architecture academia that the discipline has to urgently advance its methodological repertoire to generate new knowledge and thus strengthen the academic position of landscape architecture. To enhance the methodological repertoire, the core activity of

Geometrical objects architecture and the mathematical sciences 1400-1800

CERN Document Server

2014-01-01

This volume explores the mathematical character of architectural practice in diverse pre- and early modern contexts. It takes an explicitly interdisciplinary approach, which unites scholarship in early modern architecture with recent work in the history of science, in particular, on the role of practice in the scientific revolution. As a contribution to architectural history, the volume contextualizes design and construction in terms of contemporary mathematical knowledge, attendant forms of mathematical practice, and relevant social distinctions between the mathematical professions. As a contribution to the history of science, the volume presents a series of micro-historical studies that highlight issues of process, materiality, and knowledge production in specific, situated, practical contexts. Our approach sees the designer’s studio, the stone-yard, the drawing floor, and construction site not merely as places where the architectural object takes shape, but where mathematical knowledge itself is depl...

Evaluating the effectiveness of Facebook to impact the knowledge of evidence-based employment practices by individuals with traumatic brain injury: A knowledge translation random control study.

Science.gov (United States)

Inge, Katherine J; Graham, Carolyn W; McLaughlin, James W; Erickson, Doug; Wehman, Paul; Seward, Hannah E

2017-09-14

Individuals with traumatic brain injury (TBI) experience difficulty with obtaining and maintaining employment post-injury. Although vocational rehabilitation (VR) can be one option to provide individuals with TBI support and services to lead to successful employment outcomes, information about these services can be difficult and confusing to navigate. Providing information on evidence-based employment practices to individuals with TBI through social media could be an effective approach. The objective of this study was to compare the effect of a knowledge translation (KT) strategy and the use of a secret Facebook group, on the knowledge of evidence-based employment research by individuals with traumatic brain injury (TBI). The study used a randomized pretest-posttest control group design. Sixty individuals with TBI were recruited through clubhouse programs in the state where the authors resided as well as through support groups nationally for individuals with TBI, and were randomly assigned to one of two groups. Both groups received information on evidence-based employment practices for individuals with traumatic brain injury (TBI) over a three month period. One group received the information via participation in a secret Facebook group while the comparison group received information as an "e-news" email blast. Participants were assessed pre- and post-intervention with a Likert-scale instrument designed to measure knowledge of evidenced-based employment information for TBI. Both groups gained a significant amount of knowledge between baseline and post-intervention. However, there were no significant differences between groups in knowledge gained at post-intervention. While the study did not identify the most effective means of delivering information to individuals with TBI, it does provide some guidance for future KT research.

Virtual neurorobotics (VNR to accelerate development of plausible neuromorphic brain architectures

Directory of Open Access Journals (Sweden)

Philip H Goodman

2007-11-01

Full Text Available Traditional research in artificial intelligence and machine learning has viewed the brain as a specially adapted information-processing system. More recently the field of social robotics has been advanced to capture the important dynamics of human cognition and interaction. An overarching societal goal of this research is to incorporate the resultant knowledge about intelligence into technology for prosthetic, assistive, security, and decision support applications. However, despite many decades of investment in learning and classification systems, this paradigm has yet to yield truly “intelligent” systems. For this reason, many investigators are now attempting to incorporate more realistic neuromorphic properties into machine learning systems, encouraged by over two decades of neuroscience research that has provided parameters that characterize the brain’s interdependent genomic, proteomic, metabolomic, anatomic, and electrophysiological networks. Given the complexity of neural systems, developing tenable models to capture the essence of natural intelligence for real-time application requires that we discriminate features underlying information processing and intrinsic motivation from those reflecting biological constraints (such as maintaining structural integrity and transporting metabolic products. We propose herein a conceptual framework and an iterative method of virtual neurorobotics (VNR intended to rapidly forward-engineer and test progressively more complex putative neuromorphic brain prototypes for their ability to support intrinsically intelligent, intentional interaction with humans. The VNR system is based on the viewpoint that a truly intelligent system must be driven by emotion rather than programmed tasking, incorporating intrinsic motivation and intentionality. We report pilot results of a closed-loop, real-time interactive VNR system with a spiking neural brain, and provide a video demonstration as online supplemental

Quantifying Differences and Similarities in Whole-Brain White Matter Architecture Using Local Connectome Fingerprints.

Directory of Open Access Journals (Sweden)

Fang-Cheng Yeh

2016-11-01

Full Text Available Quantifying differences or similarities in connectomes has been a challenge due to the immense complexity of global brain networks. Here we introduce a noninvasive method that uses diffusion MRI to characterize whole-brain white matter architecture as a single local connectome fingerprint that allows for a direct comparison between structural connectomes. In four independently acquired data sets with repeated scans (total N = 213, we show that the local connectome fingerprint is highly specific to an individual, allowing for an accurate self-versus-others classification that achieved 100% accuracy across 17,398 identification tests. The estimated classification error was approximately one thousand times smaller than fingerprints derived from diffusivity-based measures or region-to-region connectivity patterns for repeat scans acquired within 3 months. The local connectome fingerprint also revealed neuroplasticity within an individual reflected as a decreasing trend in self-similarity across time, whereas this change was not observed in the diffusivity measures. Moreover, the local connectome fingerprint can be used as a phenotypic marker, revealing 12.51% similarity between monozygotic twins, 5.14% between dizygotic twins, and 4.51% between none-twin siblings, relative to differences between unrelated subjects. This novel approach opens a new door for probing the influence of pathological, genetic, social, or environmental factors on the unique configuration of the human connectome.

Digitally-Driven Architecture

Directory of Open Access Journals (Sweden)

Henriette Bier

2010-06-01

Full Text Available The shift from mechanical to digital forces architects to reposition themselves: Architects generate digital information, which can be used not only in designing and fabricating building components but also in embedding behaviours into buildings. This implies that, similar to the way that industrial design and fabrication with its concepts of standardisation and serial production influenced modernist architecture, digital design and fabrication influences contemporary architecture. While standardisa­tion focused on processes of rationalisation of form, mass-customisation as a new paradigm that replaces mass-production, addresses non-standard, complex, and flexible designs. Furthermore, knowledge about the designed object can be encoded in digital data pertaining not just to the geometry of a design but also to its physical or other behaviours within an environment. Digitally-driven architecture implies, therefore, not only digitally-designed and fabricated architecture, it also implies architecture – built form – that can be controlled, actuated, and animated by digital means. In this context, this sixth Footprint issue examines the influence of digital means as prag­matic and conceptual instruments for actuating architecture. The focus is not so much on computer-based systems for the development of architectural designs, but on architecture incorporating digital control, sens­ing, actuating, or other mechanisms that enable buildings to inter­act with their users and surroundings in real time in the real world through physical or sensory change and variation.

Detection of cortical architecture of rat brain using high-resolution 7.0 T manganese-enhanced MRI in vivo

International Nuclear Information System (INIS)

Wen Song; Gao Gejun; Yu Hui; Yang Tao; Dai Feng; Yan Lihui; An Yanli; Zang Fengchao

2010-01-01

Objective: To study the role of manganese-enhanced MRI (MEMRI) in the depiction of cortical architecture of rat brain after systemic administration of Mn 2+ through caudal vein and compare the effects of normal or opened blood-brain barrier on the manganese-enhanced MRI. Methods: Fifteen SD rats were randomly divided into three groups according to ranked list of random. Blood-brain barrier was opened in short time by the injection of 30% mannitol via the right internal carotid artery in group A, then 100 mmol/L MnCl 2 physiologic saline solution was delivered through vena caudalis, and MRI was performed 12 hours later.. In group B, 100 mmol/L MnCl 2 physiologic saline solutions was administrated through vena caudalis, following normal saline injection into the right internal carotid artery, and MRI was performed 12 hours later. The group C served as normal control group. All images were acquired with a 7.0 T micro MR scanner. Signal-to-noise ratios (SNR) in regions of interest were measured by Paravision 4.0 and the differences of three groups were compared by using one-way ANOVA. The differences of SNR on both sides of hemispheres were compared by using paired t test. Results: MEMRI could show the gray matter and white matter of rat brain and the anatomy borders between somatosensory cortex and motor cortex clearly. Periventricular structures such as hippocampus, dentate gyrus, habenula united, and olfactory bulb could also be showed clearly. Symmetrical enhancement on both sides of the cortex and banded structures was shown clearly in group B. The SNR increased and t he differences were significant in right cerebral cortex, both sides of cerebellar cortex, hippocampus and pituitary among three groups (right cerebral cortex 35.2 ± 7.0, 30.1 ± 2.4, 26.6 ± 2.8, F=4.36, P=0.038; left cerebellar cortex 27.1 ± 5.2, 29.4 ± 3.8, 19.4 ± 4.5, F=6.66, P=0.011; right cerebellar cortex 27.8 ± 3.8, 28.5 ± 4.2, 20.4 ± 4.8, F=5.84, P=0.017; left hippocampus 34.5 ± 4

An Empirical Investigation of Architectural Prototyping

DEFF Research Database (Denmark)

Christensen, Henrik Bærbak; Hansen, Klaus Marius

2010-01-01

Architectural prototyping is the process of using executable code to investigate stakeholders’ software architecture concerns with respect to a system under development. Previous work has established this as a useful and cost-effective way of exploration and learning of the design space of a system...... and in addressing issues regarding quality attributes, architectural risks, and the problem of knowledge transfer and conformance. However, the actual industrial use of architectural prototyping has not been thoroughly researched so far. In this article, we report from three studies of architectural prototyping...... in practice. First, we report findings from an ethnographic study of practicing software architects. Secondly, we report from a focus group on architectural prototyping involving architects from four companies. And, thirdly, we report from a survey study of 20 practicing software architects and software...

The application of graph theoretical analysis to complex networks in the brain.

Science.gov (United States)

Reijneveld, Jaap C; Ponten, Sophie C; Berendse, Henk W; Stam, Cornelis J

2007-11-01

Considering the brain as a complex network of interacting dynamical systems offers new insights into higher level brain processes such as memory, planning, and abstract reasoning as well as various types of brain pathophysiology. This viewpoint provides the opportunity to apply new insights in network sciences, such as the discovery of small world and scale free networks, to data on anatomical and functional connectivity in the brain. In this review we start with some background knowledge on the history and recent advances in network theories in general. We emphasize the correlation between the structural properties of networks and the dynamics of these networks. We subsequently demonstrate through evidence from computational studies, in vivo experiments, and functional MRI, EEG and MEG studies in humans, that both the functional and anatomical connectivity of the healthy brain have many features of a small world network, but only to a limited extent of a scale free network. The small world structure of neural networks is hypothesized to reflect an optimal configuration associated with rapid synchronization and information transfer, minimal wiring costs, resilience to certain types of damage, as well as a balance between local processing and global integration. Eventually, we review the current knowledge on the effects of focal and diffuse brain disease on neural network characteristics, and demonstrate increasing evidence that both cognitive and psychiatric disturbances, as well as risk of epileptic seizures, are correlated with (changes in) functional network architectural features.

Architectures of prototypes and architectural prototyping

DEFF Research Database (Denmark)

Hansen, Klaus Marius; Christensen, Michael; Sandvad, Elmer

1998-01-01

together as a team, but developed a prototype that more than fulfilled the expectations of the shipping company. The prototype should: - complete the first major phase within 10 weeks, - be highly vertical illustrating future work practice, - continuously live up to new requirements from prototyping......This paper reports from experience obtained through development of a prototype of a global customer service system in a project involving a large shipping company and a university research group. The research group had no previous knowledge of the complex business of shipping and had never worked...... sessions with users, - evolve over a long period of time to contain more functionality - allow for 6-7 developers working intensively in parallel. Explicit focus on the software architecture and letting the architecture evolve with the prototype played a major role in resolving these conflicting...

Knowledge Resources - A Knowledge Management Approach for Digital Ecosystems

Science.gov (United States)

Kurz, Thomas; Eder, Raimund; Heistracher, Thomas

The paper at hand presents an innovative approach for the conception and implementation of knowledge management in Digital Ecosystems. Based on a reflection of Digital Ecosystem research of the past years, an architecture is outlined which utilizes Knowledge Resources as the central and simplest entities of knowledge transfer. After the discussion of the related conception, the result of a first prototypical implementation is described that helps the transformation of implicit knowledge to explicit knowledge for wide use.

Hubs of Anticorrelation in High-Resolution Resting-State Functional Connectivity Network Architecture.

Science.gov (United States)

Gopinath, Kaundinya; Krishnamurthy, Venkatagiri; Cabanban, Romeo; Crosson, Bruce A

2015-06-01

A major focus of brain research recently has been to map the resting-state functional connectivity (rsFC) network architecture of the normal brain and pathology through functional magnetic resonance imaging. However, the phenomenon of anticorrelations in resting-state signals between different brain regions has not been adequately examined. The preponderance of studies on resting-state fMRI (rsFMRI) have either ignored anticorrelations in rsFC networks or adopted methods in data analysis, which have rendered anticorrelations in rsFC networks uninterpretable. The few studies that have examined anticorrelations in rsFC networks using conventional methods have found anticorrelations to be weak in strength and not very reproducible across subjects. Anticorrelations in rsFC network architecture could reflect mechanisms that subserve a number of important brain processes. In this preliminary study, we examined the properties of anticorrelated rsFC networks by systematically focusing on negative cross-correlation coefficients (CCs) among rsFMRI voxel time series across the brain with graph theory-based network analysis. A number of methods were implemented to enhance the neuronal specificity of resting-state functional connections that yield negative CCs, although at the cost of decreased sensitivity. Hubs of anticorrelation were seen in a number of cortical and subcortical brain regions. Examination of the anticorrelation maps of these hubs indicated that negative CCs in rsFC network architecture highlight a number of regulatory interactions between brain networks and regions, including reciprocal modulations, suppression, inhibition, and neurofeedback.

Tight junctions at the blood brain barrier: physiological architecture and disease-associated dysregulation

Directory of Open Access Journals (Sweden)

Luissint Anny-Claude

2012-11-01

Full Text Available Abstract The Blood–brain barrier (BBB, present at the level of the endothelium of cerebral blood vessels, selectively restricts the blood-to-brain paracellular diffusion of compounds; it is mandatory for cerebral homeostasis and proper neuronal function. The barrier properties of these specialized endothelial cells notably depend on tight junctions (TJs between adjacent cells: TJs are dynamic structures consisting of a number of transmembrane and membrane-associated cytoplasmic proteins, which are assembled in a multimolecular complex and acting as a platform for intracellular signaling. Although the structural composition of these complexes has been well described in the recent years, our knowledge about their functional regulation still remains fragmentary. Importantly, pericytes, embedded in the vascular basement membrane, and perivascular microglial cells, astrocytes and neurons contribute to the regulation of endothelial TJs and BBB function, altogether constituting the so-called neurovascular unit. The present review summarizes our current understanding of the structure and functional regulation of endothelial TJs at the BBB. Accumulating evidence points to a correlation between BBB dysfunction, alteration of TJ complexes and progression of a variety of CNS diseases, such as stroke, multiple sclerosis and brain tumors, as well as neurodegenerative diseases like Parkinson’s and Alzheimer’s diseases. Understanding how TJ integrity is controlled may thus help improve drug delivery across the BBB and the design of therapeutic strategies for neurological disorders.

A Survey of English Sixth Formers' Knowledge of Early Brain Development.

Science.gov (United States)

Nolan, Mary

2017-10-01

Objectives To ascertain the knowledge of young people aged 16 to 19 of early brain development and their attitudes towards the care of babies and preschool children. Design Cross-sectional, school- and college-based survey including all sixth form students present on the days of data collection. The survey instrument comprised forced-choice questions in four sections: Demographics, Perceptions and Understanding of Early Childhood Development, Parental Behaviors to Support Early Brain development, and Resource Needs and Usage. Setting Two sixth form schools and one sixth form college in three towns of varying affluence in the West Midlands of the United Kingdom. Method The survey was mounted online and completed by 905 students who returned it directly to the researcher. Results Most students knew that tobacco, alcohol, and drugs are hazardous in pregnancy, and many recognized the impact of maternal stress on fetal brain development. Many believed that babies can be "spoiled" and did not appreciate the importance of reading to babies and of the relationship between play and early brain development. A significant minority thought that physical activity and a healthy diet have little impact on young children's development. Respondents said they would turn firstly to their parents for advice on baby care rather than professionals. Conclusion Young people need educating about parenting activities that support the all-round healthy development of infants. The importance of a healthy diet, physical activity, reading, and play should be included in sixth form curricula and antenatal classes. Consideration should be given to educating grandparents because of their influence on new parents.

Automated Design of Application-Specific Smart Camera Architectures

NARCIS (Netherlands)

Caarls, W.

2008-01-01

Parallel heterogeneous multiprocessor systems are often shunned in embedded system design, not only because of their design complexity but because of the programming burden. Programs for such systems are architecture-dependent: the application developer needs architecture-specific knowledge to

Development of a computerized handbook of architectural plans

NARCIS (Netherlands)

Koutamanis, A.

1990-01-01

The dissertation investigates an approach to the development of visual / spatial computer representations for architectural purposes through the development of the computerized handbook of architectural plans (chap), a knowledge-based computer system capable of recognizing the metric properties of

Fluid and flexible minds: Intelligence reflects synchrony in the brain’s intrinsic network architecture

Directory of Open Access Journals (Sweden)

Michael A. Ferguson

2017-06-01

Full Text Available Human intelligence has been conceptualized as a complex system of dissociable cognitive processes, yet studies investigating the neural basis of intelligence have typically emphasized the contributions of discrete brain regions or, more recently, of specific networks of functionally connected regions. Here we take a broader, systems perspective in order to investigate whether intelligence is an emergent property of synchrony within the brain’s intrinsic network architecture. Using a large sample of resting-state fMRI and cognitive data (n = 830, we report that the synchrony of functional interactions within and across distributed brain networks reliably predicts fluid and flexible intellectual functioning. By adopting a whole-brain, systems-level approach, we were able to reliably predict individual differences in human intelligence by characterizing features of the brain’s intrinsic network architecture. These findings hold promise for the eventual development of neural markers to predict changes in intellectual function that are associated with neurodevelopment, normal aging, and brain disease. In our study, we aimed to understand how individual differences in intellectual functioning are reflected in the intrinsic network architecture of the human brain. We applied statistical methods, known as spectral decompositions, in order to identify individual differences in the synchronous patterns of spontaneous brain activity that reliably predict core aspects of human intelligence. The synchrony of brain activity at rest across multiple discrete neural networks demonstrated positive relationships with fluid intelligence. In contrast, global synchrony within the brain’s network architecture reliably, and inversely, predicted mental flexibility, a core facet of intellectual functioning. The multinetwork systems approach described here represents a methodological and conceptual extension of earlier efforts that related differences in

Architecture for knowledge-based and federated search of online clinical evidence.

Science.gov (United States)

Coiera, Enrico; Walther, Martin; Nguyen, Ken; Lovell, Nigel H

2005-10-24

It is increasingly difficult for clinicians to keep up-to-date with the rapidly growing biomedical literature. Online evidence retrieval methods are now seen as a core tool to support evidence-based health practice. However, standard search engine technology is not designed to manage the many different types of evidence sources that are available or to handle the very different information needs of various clinical groups, who often work in widely different settings. The objectives of this paper are (1) to describe the design considerations and system architecture of a wrapper-mediator approach to federate search system design, including the use of knowledge-based, meta-search filters, and (2) to analyze the implications of system design choices on performance measurements. A trial was performed to evaluate the technical performance of a federated evidence retrieval system, which provided access to eight distinct online resources, including e-journals, PubMed, and electronic guidelines. The Quick Clinical system architecture utilized a universal query language to reformulate queries internally and utilized meta-search filters to optimize search strategies across resources. We recruited 227 family physicians from across Australia who used the system to retrieve evidence in a routine clinical setting over a 4-week period. The total search time for a query was recorded, along with the duration of individual queries sent to different online resources. Clinicians performed 1662 searches over the trial. The average search duration was 4.9 +/- 3.2 s (N = 1662 searches). Mean search duration to the individual sources was between 0.05 s and 4.55 s. Average system time (ie, system overhead) was 0.12 s. The relatively small system overhead compared to the average time it takes to perform a search for an individual source shows that the system achieves a good trade-off between performance and reliability. Furthermore, despite the additional effort required to incorporate the

The architecture of information architecture, interaction design and the patterning of digital information

CERN Document Server

Dade-Robertson, Martyn

2011-01-01

This book looks at relationships between the organization of physical objects in space and the organization of ideas. Historical, philosophical, psychological and architectural knowledge are united to develop an understanding of the relationship between information and its representation.Despite its potential to break the mould, digital information has relied on metaphors from a pre-digital era. In particular, architectural ideas have pervaded discussions of digital information, from the urbanization of cyberspace in science fiction, through to the adoption of spatial visualiz

Knowledge as an Asset and Knowledge Management

OpenAIRE

Sevinç Gülseçen

2014-01-01

The most valuable resource available to any organization today is its knowledge asset which is stored in processes and information systems, corporate data warehouses, employees’ brains, copyrights and patents. Knowledge management is the process of capturing, distributing, and effectively using this knowledge. The factors affecting Knowledge Management can be listed as follows: organizational culture, knowledge manager, the evolution of knowledge, knowledge polution and technology.

Knowledge as an Asset and Knowledge Management

Directory of Open Access Journals (Sweden)

Sevinç Gülseçen

2014-03-01

Full Text Available The most valuable resource available to any organization today is its knowledge asset which is stored in processes and information systems, corporate data warehouses, employees’ brains, copyrights and patents. Knowledge management is the process of capturing, distributing, and effectively using this knowledge. The factors affecting Knowledge Management can be listed as follows: organizational culture, knowledge manager, the evolution of knowledge, knowledge polution and technology.

Introduction of an agent-based multi-scale modular architecture for dynamic knowledge representation of acute inflammation

Directory of Open Access Journals (Sweden)

An Gary

2008-05-01

Full Text Available Abstract Background One of the greatest challenges facing biomedical research is the integration and sharing of vast amounts of information, not only for individual researchers, but also for the community at large. Agent Based Modeling (ABM can provide a means of addressing this challenge via a unifying translational architecture for dynamic knowledge representation. This paper presents a series of linked ABMs representing multiple levels of biological organization. They are intended to translate the knowledge derived from in vitro models of acute inflammation to clinically relevant phenomenon such as multiple organ failure. Results and Discussion ABM development followed a sequence starting with relatively direct translation from in-vitro derived rules into a cell-as-agent level ABM, leading on to concatenated ABMs into multi-tissue models, eventually resulting in topologically linked aggregate multi-tissue ABMs modeling organ-organ crosstalk. As an underlying design principle organs were considered to be functionally composed of an epithelial surface, which determined organ integrity, and an endothelial/blood interface, representing the reaction surface for the initiation and propagation of inflammation. The development of the epithelial ABM derived from an in-vitro model of gut epithelial permeability is described. Next, the epithelial ABM was concatenated with the endothelial/inflammatory cell ABM to produce an organ model of the gut. This model was validated against in-vivo models of the inflammatory response of the gut to ischemia. Finally, the gut ABM was linked to a similarly constructed pulmonary ABM to simulate the gut-pulmonary axis in the pathogenesis of multiple organ failure. The behavior of this model was validated against in-vivo and clinical observations on the cross-talk between these two organ systems Conclusion A series of ABMs are presented extending from the level of intracellular mechanism to clinically observed behavior

Brain-grounded theory of temporal and spatial design in architecture and the environment

CERN Document Server

Ando, Yoichi

2016-01-01

In this book, brain-grounded theory of temporal and spatial design in architecture and the environment is discussed. The author believes that it is a key to solving such global problems as environmental disorders and severe climate change as well as conflicts that are caused by the ill-conceived notion of “time is money”. There are three phases or aspects of a person’s life: the physical life, the spiritual or mental life, and the third stage of life, when a person moves from middle age into old age and can choose what he or she wishes to do instead of simply what must be done. This book describes the temporal design of the environment based on the theory of subjective preference, which could make it possible for an individual to realize a healthy life in all three phases. In his previously published work, the present author wrote that the theory of subjective preference has been established for the sound and visual fields based on neural evidence, and that subjective preference is an overall response o...

Students' Knowledge Sources and Knowledge Sharing in the Design Studio--An Exploratory Study

Science.gov (United States)

Chiu, Sheng-Hsiao

2010-01-01

Architectural design is a knowledge-intensive activity; however, students frequently lack sufficient knowledge when they practice design. Collaborative learning can supplement the students' insufficient expertise. Successful collaborative learning relies on knowledge sharing between students. This implies that the peers are a considerable design…

A Study on Nursing Students' Knowledge, Attitude, and Educational Needs for Brain-Death Organ Transplantation and Donation and Intent to Donate Organs.

Science.gov (United States)

Ju, M K; Sim, M K; Son, S Y

2018-05-01

The purpose of this study was to identify the knowledge, attitude, educational needs, and will of nursing students on organ donation from brain-dead donors. Data were collected by using a 40-item questionnaire to measure knowledge, attitude, educational needs, and will for organ donation of 215 nursing college students in one university in Dangjin city from May 11 to May 31, 2017. The data were analyzed using SPSS 22 program (Data Solution Inc, Seoul). In the general characteristics, 85.1% of the subjects did not receive education on donation, and 99.5% of the subjects responded that education is needed. The desired methods of education were special lecture in school (55.3%), "webtoons" on the Internet (19.5%), formal curriculum (15.8%). Points to improve to increase brain-death organ transplantation and donation included "active publicity through pan-national campaign activities" (56.3%), "respecting prior consent from brain-dead donors" (21.9%), and "encouragement and increased support for organ donors" (12.1%). There was a significant difference in knowledge according to will for organ donation (t = 3.29, P = .001) and consent to brain-death organ donation in family members (t = 3.29, P = .001). There was a statistically significant positive correlation between attitude and knowledge of the subjects regarding brain-death organ donation. The knowledge, attitude, educational need, and will for organ donation of nursing students revealed in this study will be used as basic data to provide systematic transplant education including contents about organ transplantation in the regular nursing curriculum in the future. It will contribute to the activation of organ donation. Copyright © 2018 Elsevier Inc. All rights reserved.

Between architecture and model: Strategies for cognitive control

NARCIS (Netherlands)

Taatgen, Niels

One major limitation of current cognitive architectures is that models are typically constructed in an “empty” architecture, and that the knowledge specifications (typically production rules) are specific to the particular task. This means that general cognitive control strategies have to be

Contrasting effects of vocabulary knowledge on temporal and parietal brain structure across lifespan.

Science.gov (United States)

Richardson, Fiona M; Thomas, Michael S C; Filippi, Roberto; Harth, Helen; Price, Cathy J

2010-05-01

Using behavioral, structural, and functional imaging techniques, we demonstrate contrasting effects of vocabulary knowledge on temporal and parietal brain structure in 47 healthy volunteers who ranged in age from 7 to 73 years. In the left posterior supramarginal gyrus, vocabulary knowledge was positively correlated with gray matter density in teenagers but not adults. This region was not activated during auditory or visual sentence processing, and activation was unrelated to vocabulary skills. Its gray matter density may reflect the use of an explicit learning strategy that links new words to lexical or conceptual equivalents, as used in formal education and second language acquisition. By contrast, in left posterior temporal regions, gray matter as well as auditory and visual sentence activation correlated with vocabulary knowledge throughout lifespan. We propose that these effects reflect the acquisition of vocabulary through context, when new words are learnt within the context of semantically and syntactically related words.

Small-world human brain networks: Perspectives and challenges.

Science.gov (United States)

Liao, Xuhong; Vasilakos, Athanasios V; He, Yong

2017-06-01

Modelling the human brain as a complex network has provided a powerful mathematical framework to characterize the structural and functional architectures of the brain. In the past decade, the combination of non-invasive neuroimaging techniques and graph theoretical approaches enable us to map human structural and functional connectivity patterns (i.e., connectome) at the macroscopic level. One of the most influential findings is that human brain networks exhibit prominent small-world organization. Such a network architecture in the human brain facilitates efficient information segregation and integration at low wiring and energy costs, which presumably results from natural selection under the pressure of a cost-efficiency balance. Moreover, the small-world organization undergoes continuous changes during normal development and ageing and exhibits dramatic alterations in neurological and psychiatric disorders. In this review, we survey recent advances regarding the small-world architecture in human brain networks and highlight the potential implications and applications in multidisciplinary fields, including cognitive neuroscience, medicine and engineering. Finally, we highlight several challenging issues and areas for future research in this rapidly growing field. Copyright © 2017 Elsevier Ltd. All rights reserved.

Common Space : Politics and the Production of Architectural Knowledge

NARCIS (Netherlands)

Djalali, A.

2014-01-01

Today we are familiar with definitions of architecture as an integrated, multidisciplinary “networked practice,” which takes its cognitive potential from a “diffused design intelligence.” These definitions were introduced to counter an individual, authorial approach to design which allegedly

Developing a New Framework for Integration and Teaching of Computer Aided Architectural Design (CAAD) in Nigerian Schools of Architecture

Science.gov (United States)

Uwakonye, Obioha; Alagbe, Oluwole; Oluwatayo, Adedapo; Alagbe, Taiye; Alalade, Gbenga

2015-01-01

As a result of globalization of digital technology, intellectual discourse on what constitutes the basic body of architectural knowledge to be imparted to future professionals has been on the increase. This digital revolution has brought to the fore the need to review the already overloaded architectural education curriculum of Nigerian schools of…

An OER Architecture Framework: Need and Design

Directory of Open Access Journals (Sweden)

Pankaj Khanna

2013-03-01

Full Text Available This paper describes an open educational resources (OER architecture framework that would bring significant improvements in a well-structured and systematic way to the educational practices of distance education institutions of India. The OER architecture framework is articulated with six dimensions: pedagogical, technological, managerial, academic, financial, and ethical. These dimensions are structured with the component areas of relevance: IT infrastructure services, management support systems, open content development and maintenance, online teaching-learning, and learner assessment and evaluation of the OER architecture framework. An OER knowledge and information base, including a web portal, is proposed in the form of a series of knowledge repositories. This system would not only streamline the delivery of distance education but also would enhance the quality of distance learning through the development of high quality e-content, instructional processes, course/programme content development, IT infrastructure, and network systems. Thus the proposed OER architecture framework when implemented in the distance education system (DES of India would improve the quality of distance education and also increase its accessibility in a well-organised and structured way.

Readout Architecture for Hybrid Pixel Readout Chips

CERN Document Server

AUTHOR|(SzGeCERN)694170; Westerlund, Tomi; Wyllie, Ken

The original contribution of this thesis to knowledge are novel digital readout architectures for hybrid pixel readout chips. The thesis presents asynchronous bus-based architecture, a data-node based column architecture and a network-based pixel matrix architecture for data transportation. It is shown that the data-node architecture achieves readout efficiency 99 % with half the output rate as a bus-based system. The network-based solution avoids ``broken'' columns due to some manufacturing errors, and it distributes internal data traffic more evenly across the pixel matrix than column-based architectures. An improvement of $>$ 10 % to the efficiency is achieved with uniform and non-uniform hit occupancies. Architectural design has been done using transaction level modeling ($TLM$) and sequential high-level design techniques for reducing the design and simulation time. It has been possible to simulate tens of column and full chip architectures using the high-level techniques. A decrease of $>$ 10 in run-time...

A Cognitive Neural Architecture Able to Learn and Communicate through Natural Language.

Directory of Open Access Journals (Sweden)

Bruno Golosio

Full Text Available Communicative interactions involve a kind of procedural knowledge that is used by the human brain for processing verbal and nonverbal inputs and for language production. Although considerable work has been done on modeling human language abilities, it has been difficult to bring them together to a comprehensive tabula rasa system compatible with current knowledge of how verbal information is processed in the brain. This work presents a cognitive system, entirely based on a large-scale neural architecture, which was developed to shed light on the procedural knowledge involved in language elaboration. The main component of this system is the central executive, which is a supervising system that coordinates the other components of the working memory. In our model, the central executive is a neural network that takes as input the neural activation states of the short-term memory and yields as output mental actions, which control the flow of information among the working memory components through neural gating mechanisms. The proposed system is capable of learning to communicate through natural language starting from tabula rasa, without any a priori knowledge of the structure of phrases, meaning of words, role of the different classes of words, only by interacting with a human through a text-based interface, using an open-ended incremental learning process. It is able to learn nouns, verbs, adjectives, pronouns and other word classes, and to use them in expressive language. The model was validated on a corpus of 1587 input sentences, based on literature on early language assessment, at the level of about 4-years old child, and produced 521 output sentences, expressing a broad range of language processing functionalities.

Architectural design of experience based factory model for software ...

African Journals Online (AJOL)

architectural design. Automation features are incorporated in the design in which workflow system and intelligent agents are integrated, and the facilitation of cloud environment is empowered to further support the automation. Keywords: architectural design; knowledge management; experience factory; workflow;

[Estrogens and feminine brain maturation during adolescence: emergency contraceptive pill].

Science.gov (United States)

López Moratalla, Natalia; Errasti Alcalá, Tania; Santiago, Esteban

2011-01-01

In the period between puberty and maturity takes place the process of brain maturation. Hormone levels induce changes in neurons and direct the architecture and structural functionality thus affecting patterns of development of different brain areas. The onset of puberty brings with it the invasion of the female brain by high levels of hormones, cyclic surges of estrogen and progesterone in addition to steroids produced in situ. Control centers of emotions (amygdala), memory and learning (hippocampus) and sexual activity (hypothalamus) are modified according to the cyclical concentrations of both hormones. Sex hormones stimulate multimodal actions, both short and longer terms, because neurons in various brain areas have different types of receptors, membrane, cytoplasmic and nuclear. The composition of emergency contraceptive pill (postcoital pill) with high hormonal content raises the urgency of a thorough knowledge about the possible effect that the lack of control of the menstrual cycle in a time of consolidation of brain maturation, can bring in structuring and development of brain circuitry. Changes in the availability of sex steroids during puberty and adolescence underlie psychiatric disorders whose prevalence is typically feminine, such as depression, anxiety disorders. It is a fundamental ethical duty to present scientific data about the influence of estrogen in young female brain maturation, both for full information to potential users, and also to induce the appropriate public health measures.

Outline of a novel architecture for cortical computation.

Science.gov (United States)

Majumdar, Kaushik

2008-03-01

In this paper a novel architecture for cortical computation has been proposed. This architecture is composed of computing paths consisting of neurons and synapses. These paths have been decomposed into lateral, longitudinal and vertical components. Cortical computation has then been decomposed into lateral computation (LaC), longitudinal computation (LoC) and vertical computation (VeC). It has been shown that various loop structures in the cortical circuit play important roles in cortical computation as well as in memory storage and retrieval, keeping in conformity with the molecular basis of short and long term memory. A new learning scheme for the brain has also been proposed and how it is implemented within the proposed architecture has been explained. A few mathematical results about the architecture have been proposed, some of which are without proof.

Architectural theory in Eastern Europe during the Enlightenment

OpenAIRE

Basile Baudez

2015-01-01

Scholars working on architectural theory have recently benefitted from several important editions of treatises published during the Enlightenment, but few manuscripts have received the attention they deserve and we still have until now a relatively limited knowledge of the architectural culture outside Western Europe. Carolyn C. Guile’s translation and edition of Ignacy Potocki (1750-1809)’s Remarks on Architecture with Pennsylvania State University Press offers an exceptional case-study of w...

Developer Stories: Improving Architecture in Agile Practice

DEFF Research Database (Denmark)

Tjørnehøj, Gitte; Jensen, Rolf Njor; Platz, Niels

2007-01-01

of viable architectures. To strengthen XP in this regard a new practice: Developer Stories ([2]) was introduced in 2006 - mainly based on a theoretical argumentation. This paper reports from extensive experimentation with, and elaboration of the new practice. Results from this experimentation shows...... that using Developer Stories increases the likelihood of developing a viable architecture through a series of deliberate choices, through creating disciplined and recurring activities that: 1) Facilitate sharing and embodying of knowledge about architectural issues, and 2) heighten visibility of refactorings...

Ambidexterity in drafting of architectural projects

OpenAIRE

Sanchis Madrid, María José

2017-01-01

Treball Final de Grau en Administració d'Empreses. Codi: AE1049. Curs acadèmic: 2016/2017 The approach of this project focuses on analizing the specific contributions of matching explotation and exploration in architectural project drafting, as well as stating the application of ambidexterity in architectural projects as a source of competitive advantage, starting from knowledge theory and organizational learning, by means of a case study.

Between Organisation and Architecture

DEFF Research Database (Denmark)

Stang Våland, Marianne

2011-01-01

This paper contributes to our sparse knowledge on the relationship between organisational and architectural design. It is based on an ethnographic study of the process of designing a municipality town hall, in which end-user participation constituted an integrated part of the design process...

Efficient universal computing architectures for decoding neural activity.

Directory of Open Access Journals (Sweden)

Benjamin I Rapoport

Full Text Available The ability to decode neural activity into meaningful control signals for prosthetic devices is critical to the development of clinically useful brain- machine interfaces (BMIs. Such systems require input from tens to hundreds of brain-implanted recording electrodes in order to deliver robust and accurate performance; in serving that primary function they should also minimize power dissipation in order to avoid damaging neural tissue; and they should transmit data wirelessly in order to minimize the risk of infection associated with chronic, transcutaneous implants. Electronic architectures for brain- machine interfaces must therefore minimize size and power consumption, while maximizing the ability to compress data to be transmitted over limited-bandwidth wireless channels. Here we present a system of extremely low computational complexity, designed for real-time decoding of neural signals, and suited for highly scalable implantable systems. Our programmable architecture is an explicit implementation of a universal computing machine emulating the dynamics of a network of integrate-and-fire neurons; it requires no arithmetic operations except for counting, and decodes neural signals using only computationally inexpensive logic operations. The simplicity of this architecture does not compromise its ability to compress raw neural data by factors greater than [Formula: see text]. We describe a set of decoding algorithms based on this computational architecture, one designed to operate within an implanted system, minimizing its power consumption and data transmission bandwidth; and a complementary set of algorithms for learning, programming the decoder, and postprocessing the decoded output, designed to operate in an external, nonimplanted unit. The implementation of the implantable portion is estimated to require fewer than 5000 operations per second. A proof-of-concept, 32-channel field-programmable gate array (FPGA implementation of this portion

Executable Architecture Research at Old Dominion University

Science.gov (United States)

Tolk, Andreas; Shuman, Edwin A.; Garcia, Johnny J.

2011-01-01

Executable Architectures allow the evaluation of system architectures not only regarding their static, but also their dynamic behavior. However, the systems engineering community do not agree on a common formal specification of executable architectures. To close this gap and identify necessary elements of an executable architecture, a modeling language, and a modeling formalism is topic of ongoing PhD research. In addition, systems are generally defined and applied in an operational context to provide capabilities and enable missions. To maximize the benefits of executable architectures, a second PhD effort introduces the idea of creating an executable context in addition to the executable architecture. The results move the validation of architectures from the current information domain into the knowledge domain and improve the reliability of such validation efforts. The paper presents research and results of both doctoral research efforts and puts them into a common context of state-of-the-art of systems engineering methods supporting more agility.

Characterizing brain oscillations in cognition and disease

NARCIS (Netherlands)

Jiang, H.

2016-01-01

It has been suggested that neuronal oscillations play a fundamental role for shaping the functional architecture of the working brain. This thesis investigates brain oscillations in rat, human healthy population and major depressive disorder (MDD) patients. A novel measurement termed

Intelligence in Construction between Contemporary and Traditional Architecture

Directory of Open Access Journals (Sweden)

Khalid abdul wahab

2016-10-01

Full Text Available The authentic traditional architecture proved that it is very convenient to the environmental and social regulations where it appeared and lasted for hundred of years. This traditional architecture got the intelligence in providing thermal comfort for their occupants by the intelligent usage of the building materials and the intelligent planning and designs which took in consideration the climatic condition and the aerodynamics of the whole city as one ecological system starting from the cold breeze passing through its narrow streets till it enters the dwelling units and glides out through the wind catchers. This architecture had been neglected and replaced by modern imported architecture which had collapsed within few decades not in our region only but all over the world. Now a days the increasing awareness of the global environmental crisis the green or sustainable architecture appeared as a new type of architecture by the eighties of the last century. Today these types of buildings began to enter Arab countries in general and Arabian Gulf countries especially like Masdar city, where smart building can be seen with inelegant treatments which will replace the modern high rise towers with its glass facades. This will lead to the general research problem which concerns the shortage of knowledge about the inelegance in design and planning used in the traditional architecture, and the special research problem concerning the shortage of knowledge concerning the ability to use the inelegant traditional architectural and planning concepts as a base for the future sustainable modern buildings and cites as the aim of this research.

Towards an Integrative Model of Knowledge Transfer

DEFF Research Database (Denmark)

Turcan, Romeo V.; Heslop, Ben

This paper aims to contribute towards the advancement of an efficient architecture of a single market for knowledge through the development of an integrative model of knowledge transfer. Within this aim, several points of departure can be singled out. One, the article builds on the call of the Eu......This paper aims to contribute towards the advancement of an efficient architecture of a single market for knowledge through the development of an integrative model of knowledge transfer. Within this aim, several points of departure can be singled out. One, the article builds on the call...... business and academia, and implementing the respective legislature are enduring. The research objectives were to explore (i) the process of knowledge transfer in universities, including the nature of tensions, obstacles and incentives, (ii) the relationships between key stakeholders in the KT market...... of the emergent integrative model of knowledge transfer. In an attempt to bring it to a higher level of generalizability, the integrative model of KT is further conceptualized from a ‘sociology of markets’ perspective resulting in an emergent architecture of a single market for knowledge. Future research...

An Architecture for Context-Aware Knowledge Flow Management Systems

OpenAIRE

Jarrahi, Ali; Kangavari, Mohammad Reza

2012-01-01

The organizational knowledge is one of the most important and valuable assets of organizations. In such environment, organizations with broad, specialized and up-to-date knowledge, adequately using knowledge resources, will be more successful than their competitors. For effective use of knowledge, dynamic knowledge flow from the sources to destinations is essential. In this regard, a novel complex concept in knowledge management is the analysis, design and implementation of knowledge flow man...

Relation between brain architecture and mathematical ability in children: a DBM study.

Science.gov (United States)

Han, Zhaoying; Davis, Nicole; Fuchs, Lynn; Anderson, Adam W; Gore, John C; Dawant, Benoit M

2013-12-01

. We also found that the choice of registration algorithm has an impact on DBM-based results, so we recommend using more than one algorithm when conducting DBM studies. To the best of our knowledge, this is the first study that uses DBM to investigate brain anatomical features related to mathematical performance in a relatively large population of children. © 2013.

Software engineering architecture-driven software development

CERN Document Server

Schmidt, Richard F

2013-01-01

Software Engineering: Architecture-driven Software Development is the first comprehensive guide to the underlying skills embodied in the IEEE's Software Engineering Body of Knowledge (SWEBOK) standard. Standards expert Richard Schmidt explains the traditional software engineering practices recognized for developing projects for government or corporate systems. Software engineering education often lacks standardization, with many institutions focusing on implementation rather than design as it impacts product architecture. Many graduates join the workforce with incomplete skil

Lunar Navigation Architecture Design Considerations

Science.gov (United States)

D'Souza, Christopher; Getchius, Joel; Holt, Greg; Moreau, Michael

2009-01-01

The NASA Constellation Program is aiming to establish a long-term presence on the lunar surface. The Constellation elements (Orion, Altair, Earth Departure Stage, and Ares launch vehicles) will require a lunar navigation architecture for navigation state updates during lunar-class missions. Orion in particular has baselined earth-based ground direct tracking as the primary source for much of its absolute navigation needs. However, due to the uncertainty in the lunar navigation architecture, the Orion program has had to make certain assumptions on the capabilities of such architectures in order to adequately scale the vehicle design trade space. The following paper outlines lunar navigation requirements, the Orion program assumptions, and the impacts of these assumptions to the lunar navigation architecture design. The selection of potential sites was based upon geometric baselines, logistical feasibility, redundancy, and abort support capability. Simulated navigation covariances mapped to entry interface flightpath- angle uncertainties were used to evaluate knowledge errors. A minimum ground station architecture was identified consisting of Goldstone, Madrid, Canberra, Santiago, Hartebeeshoek, Dongora, Hawaii, Guam, and Ascension Island (or the geometric equivalent).

Module Architecture for in Situ Space Laboratories

Science.gov (United States)

Sherwood, Brent

2010-01-01

The paper analyzes internal outfitting architectures for space exploration laboratory modules. ISS laboratory architecture is examined as a baseline for comparison; applicable insights are derived. Laboratory functional programs are defined for seven planet-surface knowledge domains. Necessary and value-added departures from the ISS architecture standard are defined, and three sectional interior architecture options are assessed for practicality and potential performance. Contemporary guidelines for terrestrial analytical laboratory design are found to be applicable to the in-space functional program. Densepacked racks of system equipment, and high module volume packing ratios, should not be assumed as the default solution for exploration laboratories whose primary activities include un-scriptable investigations and experimentation on the system equipment itself.

Human brain lesion-deficit inference remapped.

Science.gov (United States)

Mah, Yee-Haur; Husain, Masud; Rees, Geraint; Nachev, Parashkev

2014-09-01

Our knowledge of the anatomical organization of the human brain in health and disease draws heavily on the study of patients with focal brain lesions. Historically the first method of mapping brain function, it is still potentially the most powerful, establishing the necessity of any putative neural substrate for a given function or deficit. Great inferential power, however, carries a crucial vulnerability: without stronger alternatives any consistent error cannot be easily detected. A hitherto unexamined source of such error is the structure of the high-dimensional distribution of patterns of focal damage, especially in ischaemic injury-the commonest aetiology in lesion-deficit studies-where the anatomy is naturally shaped by the architecture of the vascular tree. This distribution is so complex that analysis of lesion data sets of conventional size cannot illuminate its structure, leaving us in the dark about the presence or absence of such error. To examine this crucial question we assembled the largest known set of focal brain lesions (n = 581), derived from unselected patients with acute ischaemic injury (mean age = 62.3 years, standard deviation = 17.8, male:female ratio = 0.547), visualized with diffusion-weighted magnetic resonance imaging, and processed with validated automated lesion segmentation routines. High-dimensional analysis of this data revealed a hidden bias within the multivariate patterns of damage that will consistently distort lesion-deficit maps, displacing inferred critical regions from their true locations, in a manner opaque to replication. Quantifying the size of this mislocalization demonstrates that past lesion-deficit relationships estimated with conventional inferential methodology are likely to be significantly displaced, by a magnitude dependent on the unknown underlying lesion-deficit relationship itself. Past studies therefore cannot be retrospectively corrected, except by new knowledge that would render them redundant

Using business critical design rules to frame new architecture introduction in multi-architecture portfolios

DEFF Research Database (Denmark)

Løkkegaard, Martin; Mortensen, Niels Henrik; Hvam, Lars

2018-01-01

component sharing, or sharing critical design principles. This alignment is not trivial, as extensive design knowledge is needed to overview a portfolio with many, often highly different products and manufacturing lines. In this paper, we suggest establishing a frame of reference for new......When introducing new architectures to an industrial portfolio, counting multiple existing product and manufacturing solutions, time-to-market and investments in manufacturing equipment can be significantly reduced if new concepts are aligned with the existing portfolio. This can be done through......-product introduction based on several ‘game rules’, or Business Critical Design Rules (BCDRs), which denote the most critical features of the product and manufacturing architectures, and should be considered an obligatory reference for design when introducing new architectures. BCDRs are derived from the portfolio...

The Virtual Brain: a simulator of primate brain network dynamics.

Science.gov (United States)

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

2013-01-01

We present The Virtual Brain (TVB), a neuroinformatics platform for full brain network simulations using biologically realistic connectivity. This simulation environment enables the model-based inference of neurophysiological mechanisms across different brain scales that underlie the generation of macroscopic neuroimaging signals including functional MRI (fMRI), EEG and MEG. Researchers from different backgrounds can benefit from an integrative software platform including a supporting framework for data management (generation, organization, storage, integration and sharing) and a simulation core written in Python. TVB allows the reproduction and evaluation of personalized configurations of the brain by using individual subject data. This personalization facilitates an exploration of the consequences of pathological changes in the system, permitting to investigate potential ways to counteract such unfavorable processes. The architecture of TVB supports interaction with MATLAB packages, for example, the well known Brain Connectivity Toolbox. TVB can be used in a client-server configuration, such that it can be remotely accessed through the Internet thanks to its web-based HTML5, JS, and WebGL graphical user interface. TVB is also accessible as a standalone cross-platform Python library and application, and users can interact with the scientific core through the scripting interface IDLE, enabling easy modeling, development and debugging of the scientific kernel. This second interface makes TVB extensible by combining it with other libraries and modules developed by the Python scientific community. In this article, we describe the theoretical background and foundations that led to the development of TVB, the architecture and features of its major software components as well as potential neuroscience applications.

The Virtual Brain: a simulator of primate brain network dynamics

Science.gov (United States)

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

2013-01-01

We present The Virtual Brain (TVB), a neuroinformatics platform for full brain network simulations using biologically realistic connectivity. This simulation environment enables the model-based inference of neurophysiological mechanisms across different brain scales that underlie the generation of macroscopic neuroimaging signals including functional MRI (fMRI), EEG and MEG. Researchers from different backgrounds can benefit from an integrative software platform including a supporting framework for data management (generation, organization, storage, integration and sharing) and a simulation core written in Python. TVB allows the reproduction and evaluation of personalized configurations of the brain by using individual subject data. This personalization facilitates an exploration of the consequences of pathological changes in the system, permitting to investigate potential ways to counteract such unfavorable processes. The architecture of TVB supports interaction with MATLAB packages, for example, the well known Brain Connectivity Toolbox. TVB can be used in a client-server configuration, such that it can be remotely accessed through the Internet thanks to its web-based HTML5, JS, and WebGL graphical user interface. TVB is also accessible as a standalone cross-platform Python library and application, and users can interact with the scientific core through the scripting interface IDLE, enabling easy modeling, development and debugging of the scientific kernel. This second interface makes TVB extensible by combining it with other libraries and modules developed by the Python scientific community. In this article, we describe the theoretical background and foundations that led to the development of TVB, the architecture and features of its major software components as well as potential neuroscience applications. PMID:23781198

Towards a Classification of Architecture Initiatives: Outlining the External Factors

DEFF Research Database (Denmark)

Hansen, Christian Lindschou; Mortensen, Niels Henrik; Hvam, Lars

2012-01-01

or bad, without including the contextual differences. The purpose of the external factors is to improve scoping and goal setting of architecture initiatives, and improve comparability between- and transferability of knowledge from architecture initiatives. The external factors are a first step towards......This paper introduced a set of external factors capturing the contextual differences that set the stage for architecture initiatives. These are derived from a systems theoretical approach recognizing the fact that architecture initiatives should respond the challenges posed by the external...

Knowledge Uncertainty and Composed Classifier

Czech Academy of Sciences Publication Activity Database

Klimešová, Dana; Ocelíková, E.

2007-01-01

Roč. 1, č. 2 (2007), s. 101-105 ISSN 1998-0140 Institutional research plan: CEZ:AV0Z10750506 Keywords : Boosting architecture * contextual modelling * composed classifier * knowledge management, * knowledge * uncertainty Subject RIV: IN - Informatics, Computer Science

Combinatorial structures and processing in neural blackboard architectures

NARCIS (Netherlands)

van der Velde, Frank; van der Velde, Frank; de Kamps, Marc; Besold, Tarek R.; d'Avila Garcez, Artur; Marcus, Gary F.; Miikkulainen, Risto

2015-01-01

We discuss and illustrate Neural Blackboard Architectures (NBAs) as the basis for variable binding and combinatorial processing the brain. We focus on the NBA for sentence structure. NBAs are based on the notion that conceptual representations are in situ, hence cannot be copied or transported.

Architecture related books in Auersperg’s Library

Directory of Open Access Journals (Sweden)

Stanislav Južnič

2008-01-01

Full Text Available The manuscript catalogue of Ljubljanian Prince Auersperg’s Library was used to describe his architectural book acquisitions.The special concern was put on the Count Volf Engelbert and his brother, Prince Janez Vajkard Auersperg’s architectural and technical taste. The architecture class of Auersperg’s book catalogue (1668 contained several important applied physics, technique and military works.The importance and value of particular items are discussed. The library was used as the basis for the analysis of Auerspergs’ early modern technical interests just after they returned to the Catholic faith.They used their knowledge of architecture design for the palaces in Ljubljana and Kočevje.The books of former Auersperg’s Ljubljana library are today at different libraries in USA and Europe.

Exploring the brain

International Nuclear Information System (INIS)

Bloch, G.; Vernier, P.; Le Bihan, D.; Comtat, C.; Van Wassenhove, V.; Texier, I.; Planat-Chretien, A.; Poher, V.; Dinten, J.M.; Pannetier-lecoeur, M.; Trebossen, R.; Lethimonnier, F.; Eger, E.; Thirion, B.; Dehaene-Lambertz, G.; Piazza, M.; Mangin, J.F.; Dehaene, S.; Pallier, C.; Marti, S.; Klein, E.; Martinot, J.L.; Paillere, M.L.; Artiges, E.; Lemaitre, H.; Karila, L.; Houenou, J.; Sarrazin, S.; Hantraye, P.; Aron Badin, R.; Mergui, S.; Palfi, S.; Bemelmans, A.; Berger, F.; Frouin, V.; Pinel, J.F.; Crivello, F.; Mazoyer, B.; Flury-Herard, A.

2014-01-01

CEA (French Alternative Energies and Atomic Energy Commission) has been involved in brain research for over 50 years and this 62. issue of 'Clefs CEA' is the best occasion to come back on the latest advances in this wide field. The purpose is to show how neuroimaging combined with neuro sciences and computational sciences has shed light on various aspects of the brain life and experience such as for instance learning (with highlights on dyslexia and dyscalculia), vision, the feeling of time, consciousness, addictions, ageing, and neuro-degenerative diseases. This document is divided into 6 parts: 1) non-invasive exploration of the brain, 2) development, learning and plasticity of the brain, 3) cognitive architecture and the brain, 4) mental health and vulnerability, 5) neuro-degenerative diseases, and 6) identifying bio-markers for cerebral disorders. (A.C.)

Awareness of deficits in traumatic brain injury: a multidimensional approach to assessing metacognitive knowledge and online-awareness.

LENUS (Irish Health Repository)

O'Keeffe, Fiadhnait

2007-01-01

Recent models of impaired awareness in brain injury draw a distinction between metacognitive knowledge of difficulties and online awareness of errors (emergent and anticipatory). We examined performance of 31 Traumatic Brain Injury (TBI) participants and 31 healthy controls using a three-strand approach to assessing awareness. Metacognitive knowledge was assessed with an awareness interview and discrepancy scores on three questionnaires--Patient Competency Rating Scale, Frontal Systems Behavioral Scale and the Cognitive Failures Questionnaire. Online Emergent Awareness was assessed using an online error-monitoring task while participants performed tasks of sustained attention. Online anticipatory awareness was examined using prediction performance on two cognitive tasks. Results indicated that the TBI Low Self-Awareness (SA) group and High SA group did not differ in terms of severity, chronicity or standard neuropsychological tasks but those with Low SA were more likely to exhibit disinhibition, interpersonal problems and more difficulties in total competency. Sustained attention abilities were associated with both types of online awareness (emergent and anticipatory). There was a strong relationship between online emergent and online anticipatory awareness. Metacognitive knowledge did not correlate with the other two measures. This study highlights the necessity in adopting a multidimensional approach to assessing the multifaceted phenomenon of awareness of deficits.

Influential aspects of leader’s Bourdieu capitals on Malaysian landscape architecture subordinates’ creativity

Science.gov (United States)

Zahari, R.; Ariffin, M. H.; Othman, N.

2018-02-01

Free Trade Agreements as implemented by Malaysian government calls out local businesses such as landscape architecture consultant firm to explore internationally and strengthen their performance to compete locally. Performance of landscape architecture firm as a design firm depends entirely on creativity of the subordinates in the firm. Past research has neglected studying the influence of a leader’s capitals on subordinates’ creativity, especially in Malaysian landscape architecture firms. The aim of this research is to investigate the influence of subordinates’ perceptions of the leader’s Bourdieu capitals towards promoting subordinate’s creative behaviours in Malaysian Landscape Architecture firms. The sample chosen for this research are subordinates in registered landscape architecture firm. Data was collected using qualitative semi-structured interviews with 13 respondents and analysed using Qualitative Category Coding. Aspects of the leader’s social capital (i.e. knowledge acquisition, problem solving, motivation boosting), human capital (guidance, demotivating leadership, experiential knowledge, knowledge acquisition), and emotional capital (chemistry with leader, respect, knowledge acquisition, trust, understanding, self-inflicted demotivation) that influence subordinates’ creativity were uncovered from the data. The main finding is that the leader’s capitals promote the subordinate landscape architects or assistant landscape architect to be more creative based on three main things, first is knowledge acquisition, motivation, and ability for the leader to influence through positive relationship. The finding contributes to a new way of understanding the leader’s characteristics that influence subordinates’ creativity.

The Virtual Brain: a simulator of primate brain network dynamics

Directory of Open Access Journals (Sweden)

Paula eSanz Leon

2013-06-01

Full Text Available We present TheVirtualBrain (TVB, a neuroinformatics platform for full brainnetwork simulations using biologically realistic connectivity. This simulationenvironment enables the model-based inference of neurophysiological mechanismsacross different brain scales that underlie the generation of macroscopicneuroimaging signals including functional MRI (fMRI, EEG and MEG. Researchersfrom different backgrounds can benefit from an integrative software platformincluding a supporting framework for data management (generation,organization, storage, integration and sharing and a simulation core writtenin Python. TVB allows the reproduction and evaluation of personalizedconfigurations of the brain by using individual subject data. Thispersonalization facilitates an exploration of the consequences of pathologicalchanges in the system, permitting to investigate potential ways to counteractsuch unfavorable processes. The architecture of TVB supports interaction withMATLAB packages, for example, the well known Brain Connectivity Toolbox. TVBcan be used in a client-server configuration, such that it can be remotelyaccessed through the Internet thanks to its web-basedHTML5, JS and WebGL graphical user interface. TVB is alsoaccessible as a standalone cross-platform Python library and application, andusers can interact with the scientific core through the scripting interfaceIDLE, enabling easy modeling, development and debugging of the scientifickernel. This second interface makes TVB extensible by combining it with otherlibraries and modules developed by the Python scientific community. In this article, we describe the theoretical background and foundations that led to thedevelopment of TVB, the architecture and features of its major softwarecomponents as well as potential neuroscience applications.

Climatic architecture: Situation, principles, establishment of technical policies

International Nuclear Information System (INIS)

Brejon, P.

1994-01-01

Climatic architecture, despite the efforts of its protagonists, remains nearly marginal. Nevertheless, environmental awareness is gaining ground, whether through concern for the depletion of natural resources, for global warming or for CO 2 emissions. It is only by establishing technical policies, making an effort in terms of training and research and distributing knowledge to all those in the business that the principles of climatic architecture will actually be applied in the field. Resources are available to make climatic architecture a fundamental concern in the design of environmentally friendly buildings. (author). 6 refs, 3 tabs

Architecture in the network society

DEFF Research Database (Denmark)

2004-01-01

Under the theme Architecture in the Network Society, participants were invited to focus on the dialog and sharing of knowledge between architects and other disciplines and to reflect on, and propose, new methods in the design process, to enhance and improve the impact of information technology...

Architecture as mediator of culture, democracy and hope: XXIII World Congress of Architecture in Turin

Directory of Open Access Journals (Sweden)

Bogdanov Ana

2009-01-01

Full Text Available The XXIII World Congress of Architecture organized by The International Union of Architects (UIA was held in Turin from June 29 to July 03. Every third year this great architectural event gathers together more than one thousand professionals and students from 126 countries that UIA encompasses today. The main topic of the this year Congress was 'Transmitting Architecture' suggesting that future architecture will increasingly depend on communication and integration. It also suggests that global problems which architecture has been encountered with in recent years should be considered at all levels through ever active network of information and communications. In that term exchanging and sharing knowledge and experience among architects of different national and social backgrounds are crucial. Besides, transmitting architecture has also a faint futuristic sound which points out new technologies and their increasing importance in architecture. At last, this topic emphasize that the Congress has been oriented towards and open to not only academic discussions, but to younger generations and students who have always been most experienced in using digital technologies. Throughout the Congress Programme which consisted of lectures, debates, workshops exhibitions, where more than 600 speakers participated, various topics were discussed with a common aim to gain an insight into the situation on current architectural scene, to realize the position of architects and architecture in today's sphere of social, political, cultural, technical and technological factors, and consequently to establish possible tracks and offer recommendations for further progress in this field. Out of Congress, the participants had the opportunity of being introduced to Turin, the city of vision and sustainability put into action.

Intelligent perception control based on a blackboard architecture

International Nuclear Information System (INIS)

Taibi, I.; Koenig, A.; Vacherand, F.

1991-01-01

In this paper, is described the intelligent perception control system GESPER which is presently equipped with a set of three cameras, a telemeter and a camera associated with a structured strip light. This system is of great interest for all our robotic applications as it is capable of autonomously planning, triggering acquisitions, integrating and interpreting multisensory data. The GESPER architecture, based on the blackboard model, provides a generic development method for indoor and outdoor perception. The modularity and the independence of the knowledge sources make the software evolving easily without breaking down the architecture. New sensors and/or new data processing can be integrated by the addition of new knowledge sources that modelize them. At present, first results are obtained in our testbed hall which simulates the nuclear plant as gives similar experimental conditions. Our ongoing research concerns the improvement of fusion algorithms and the embedding of the whole system (hardware and software) on target robots and distributed architecture

AI Reloaded: Objectives, Potentials, and Challenges of the Novel Field of Brain-Like Artificial Intelligence

Directory of Open Access Journals (Sweden)

Rosemarie Velik

2012-11-01

Full Text Available The general objective of Artificial Intelligence (AI is to make machines – particularly computers – do things that require intelligence when done by humans. In the last 60 years, AI has significantly progressed and today forms an important part of industry and technology. However, despite the many successes, fundamental questions concerning the creation of human-level intelligence in machines still remain open and will probably not be answerable when continuing on the current, mainly mathematic-algorithmically-guided path of AI. With the novel discipline of
Brain-Like Artificial Intelligence, one potential way out of this dilemma has been suggested. Brain-Like AI aims at analyzing and deciphering the working mechanisms of the brain and translating this knowledge into implementable AI architectures with the objective to develop in this way more efficient, flexible, and capable technical systems This article aims at giving a review about this young and still heterogeneous and dynamic research field.

Dynamic neural architecture for social knowledge retrieval.

Science.gov (United States)

Wang, Yin; Collins, Jessica A; Koski, Jessica; Nugiel, Tehila; Metoki, Athanasia; Olson, Ingrid R

2017-04-18

Social behavior is often shaped by the rich storehouse of biographical information that we hold for other people. In our daily life, we rapidly and flexibly retrieve a host of biographical details about individuals in our social network, which often guide our decisions as we navigate complex social interactions. Even abstract traits associated with an individual, such as their political affiliation, can cue a rich cascade of person-specific knowledge. Here, we asked whether the anterior temporal lobe (ATL) serves as a hub for a distributed neural circuit that represents person knowledge. Fifty participants across two studies learned biographical information about fictitious people in a 2-d training paradigm. On day 3, they retrieved this biographical information while undergoing an fMRI scan. A series of multivariate and connectivity analyses suggest that the ATL stores abstract person identity representations. Moreover, this region coordinates interactions with a distributed network to support the flexible retrieval of person attributes. Together, our results suggest that the ATL is a central hub for representing and retrieving person knowledge.

BENEFITS OF USING SOFTWARE WITH SIK COMPLIANT ARCHITECTURE IN CLOUD

OpenAIRE

Vasile AVRAM

2010-01-01

The aim of this paper is to investigate the main benefits that can be obtained by using a SIK (software inherited knowledge) compliant architecture for cloud services and support software used to build, administer and maintaining the cloud. It introduces the basic building blocks for cloud computing together with the main categories of cloud services. For the SIK architecture, shown in connection with a semantic-web application architecture, are introduced the main functionalities. The paper ...

Image and Morphology in Modern Theory of Architecture

Science.gov (United States)

Yankovskaya, Y. S.; Merenkov, A. V.

2017-11-01

This paper is devoted to some important and fundamental problems of the modern Russian architectural theory. These problems are: methodological and technological retardation; substitution of the modern professional architectural theoretical knowledge by the humanitarian concepts; preference of the traditional historical or historical-theoretical research. One of the most probable ways is the formation of useful modern subject (and multi-subject)-oriented concepts in architecture. To get over the criticism and distrust of the architectural theory is possible through the recognition of an important role of the subject (architect, consumer, contractor, ruler, etc.) and direction of the practical tasks of the forming human environment in the today’s rapidly changing world and post-industrial society. In this article we consider the evolution of two basic concepts for the theory of architecture such as the image and morphology.

Landscape Architectural Design as Scientific Inquiry?

NARCIS (Netherlands)

Lenzholzer, S.

2011-01-01

This presentation discusses ‘landscape architectural design as scientific inquiry’ and exemplifies this with the description of a design process within climate-responsive design leading to new design knowledge. ‘Research and design’ are issues that need increasing attention within landscape

From green architecture to architectural green

DEFF Research Database (Denmark)

Earon, Ofri

2011-01-01

that describes the architectural exclusivity of this particular architecture genre. The adjective green expresses architectural qualities differentiating green architecture from none-green architecture. Currently, adding trees and vegetation to the building’s facade is the main architectural characteristics...... they have overshadowed the architectural potential of green architecture. The paper questions how a green space should perform, look like and function. Two examples are chosen to demonstrate thorough integrations between green and space. The examples are public buildings categorized as pavilions. One......The paper investigates the topic of green architecture from an architectural point of view and not an energy point of view. The purpose of the paper is to establish a debate about the architectural language and spatial characteristics of green architecture. In this light, green becomes an adjective...

BIM and architectural heritage: towards an operational methodology for the knowledge and the management of Cultural Heritage

Directory of Open Access Journals (Sweden)

Laura Inzerillo

2016-06-01

Full Text Available The study aims to answer the growing need for virtuously organize informational apparatuses related to Cultural Heritage. We propose a methodology that integrates multidisciplinary processes of interaction with information aimed at survey, documentation, management, knowledge and enhancement of historic artifacts.It is needed to review and update the procedure of instrumental data acquisition, standardization and structuring of the acquired data in a three-dimensional semantic model as well as the subsequent representability and accessibility of the model and the related database. If the use of Building Information Modeling has in recent years seen a consolidation in the procedures and the identification of standard methods in design process, nevertheless in the field of architectural heritage, the challenge to identify operational methodologies for the conservation, management and process enhancement is still open.

Understanding emotion with brain networks.

Science.gov (United States)

Pessoa, Luiz

2018-02-01

Emotional processing appears to be interlocked with perception, cognition, motivation, and action. These interactions are supported by the brain's large-scale non-modular anatomical and functional architectures. An important component of this organization involves characterizing the brain in terms of networks. Two aspects of brain networks are discussed: brain networks should be considered as inherently overlapping (not disjoint) and dynamic (not static). Recent work on multivariate pattern analysis shows that affective dimensions can be detected in the activity of distributed neural systems that span cortical and subcortical regions. More broadly, the paper considers how we should think of causation in complex systems like the brain, so as to inform the relationship between emotion and other mental aspects, such as cognition.

Tutorial on architectural acoustics

Science.gov (United States)

Shaw, Neil; Talaske, Rick; Bistafa, Sylvio

2002-11-01

This tutorial is intended to provide an overview of current knowledge and practice in architectural acoustics. Topics covered will include basic concepts and history, acoustics of small rooms (small rooms for speech such as classrooms and meeting rooms, music studios, small critical listening spaces such as home theatres) and the acoustics of large rooms (larger assembly halls, auditoria, and performance halls).

Autodesk Revit Architecture 2014 review for certification official certification preparation

CERN Document Server

ASCENT center for technical knowledge

2014-01-01

The Autodesk® Revit® Architecture 2014 Review for Certification guide is intended for users of the Autodesk Revit Architecture software who are preparing to complete the Autodesk Revit Architecture 2014 Certified Professional exam. This guide contains a collection of relevant instructional topics, practices, and review questions from the Autodesk Official Training Guides (AOTG) training guides created by ASCENT - Center for Technical Knowledge® and pertaining specifically to the Certified Professional exam topics and objectives. This training guide is intended for experienced users of the Autodesk Revit Architecture software in preparation for certification. New users of the software should refer to the AOTG training guides from ASCENT, such as Autodesk Revit Architecture 2014 Fundamentals, for more comprehensive instruction.

A Pattern Language for the Evolution of Component-based Software Architectures

DEFF Research Database (Denmark)

Ahmad, Aakash; Jamshidi, Pooyan; Pahl, Claus

2013-01-01

Modern software systems are prone to a continuous evolution under frequently varying requirements. Architecture-centric software evolution enables change in system’s structure and behavior while maintaining a global view of the software to address evolution-centric tradeoffs. Lehman’s law...... evolution problems. We propose that architectural evolution process requires an explicit evolution-centric knowledge – that can be discovered, shared, and reused – to anticipate and guide change management. Therefore, we present a pattern language as a collection of interconnected change patterns......) as a complementary and integrated phase to facilitate reuse-driven architecture change execution (pattern language application). Reuse-knowledge in the proposed pattern language is expressed as a formalised collection of interconnected-patterns. Individual patterns in the language build on each other to facilitate...

Knowledge-based processing for aircraft flight control

Science.gov (United States)

Painter, John H.; Glass, Emily; Economides, Gregory; Russell, Paul

1994-01-01

This Contractor Report documents research in Intelligent Control using knowledge-based processing in a manner dual to methods found in the classic stochastic decision, estimation, and control discipline. Such knowledge-based control has also been called Declarative, and Hybid. Software architectures were sought, employing the parallelism inherent in modern object-oriented modeling and programming. The viewpoint adopted was that Intelligent Control employs a class of domain-specific software architectures having features common over a broad variety of implementations, such as management of aircraft flight, power distribution, etc. As much attention was paid to software engineering issues as to artificial intelligence and control issues. This research considered that particular processing methods from the stochastic and knowledge-based worlds are duals, that is, similar in a broad context. They provide architectural design concepts which serve as bridges between the disparate disciplines of decision, estimation, control, and artificial intelligence. This research was applied to the control of a subsonic transport aircraft in the airport terminal area.

Quantitative Architectural Analysis: A New Approach to Cortical Mapping

Science.gov (United States)

Schleicher, Axel; Morosan, Patricia; Amunts, Katrin; Zilles, Karl

2009-01-01

Results from functional imaging studies are often still interpreted using the classical architectonic brain maps of Brodmann and his successors. One obvious weakness in traditional, architectural mapping is the subjective nature of localizing borders between cortical areas by means of a purely visual, microscopical examination of histological…

Brain architecture and social complexity in modern and ancient birds.

Science.gov (United States)

Burish, Mark J; Kueh, Hao Yuan; Wang, Samuel S-H

2004-01-01

Vertebrate brains vary tremendously in size, but differences in form are more subtle. To bring out functional contrasts that are independent of absolute size, we have normalized brain component sizes to whole brain volume. The set of such volume fractions is the cerebrotype of a species. Using this approach in mammals we previously identified specific associations between cerebrotype and behavioral specializations. Among primates, cerebrotypes are linked principally to enlargement of the cerebral cortex and are associated with increases in the complexity of social structure. Here we extend this analysis to include a second major vertebrate group, the birds. In birds the telencephalic volume fraction is strongly correlated with social complexity. This correlation accounts for almost half of the observed variation in telencephalic size, more than any other behavioral specialization examined, including the ability to learn song. A prominent exception to this pattern is owls, which are not social but still have very large forebrains. Interpolating the overall correlation for Archaeopteryx, an ancient bird, suggests that its social complexity was likely to have been on a par with modern domesticated chickens. Telencephalic volume fraction outperforms residuals-based measures of brain size at separating birds by social structure. Telencephalic volume fraction may be an anatomical substrate for social complexity, and perhaps cognitive ability, that can be generalized across a range of vertebrate brains, including dinosaurs. Copyright 2004 S. Karger AG, Basel

Design and Training of Limited-Interconnect Architectures

Science.gov (United States)

1991-07-16

and signal processing. Neuromorphic (brain like) models, allow an alternative for achieving real-time operation tor such tasks, while having a...compact and robust architecture. Neuromorphic models consist of interconnections of simple computational nodes. In this approach, each node computes a...operational performance. I1. Research Objectives The research objectives were: 1. Development of on- chip local training rules specifically designed for

Environmental Knowledge as Design Development Agent

Directory of Open Access Journals (Sweden)

Buthayna Hasan Eilouti

2012-06-01

Full Text Available Linking knowledge learnt from nature with concepts of man-made product generation, Biomimetics represents an application of environmental knowledge on engineering design. In this paper, an exploratory approach that is based on the concepts of Biomimetics and their potential transformations into design processing agents is introduced. The approach is tested as a project that applies knowledge inspired by organisms in their natural biomes for the derivation of architectural designs. The project is implemented in a digital architectural design studio in order to model metamorphosis and simulate adaptations of products. The results of the project implementation seem to encourage adopting its associative environmental problem-solving techniques and inter-disciplinary methods as alternatives or complementary to conventional functional- or formal-oriented problem-solving approaches.

The Language Faculty - mind or brain?

DEFF Research Database (Denmark)

Thrane, Torben

2009-01-01

I. Dretske. Apart from a brief introduction and a conclusion, the paper contains 5 main sections: Three levels of Chomskyan linguistics, Representational theories of mind, Representational systems, Representational architecture, and finally The language faculty in brain studies.......The paper subjects Chomsky's compound creation - the 'mind/brain' - to scrutiny. It argues that it creates a slipway for talk about the human language faculty,  such that what should properly be discussed in functional terms - what the brain does when processing language - is instead talked about...

Digital museums of the imagined architecture: an integrated approach to the definition of cultural heritage’s knowledge paths

Directory of Open Access Journals (Sweden)

Aldo R.D. Accardi

2016-12-01

Full Text Available The aim of this work is to highlight a multidisciplinary approach to define new ways of knowledge of architectures and urban contexts that were drawn but never built. In particular, the focus is on a set of 18th century representations, created in the field of scenic illusion. The work was firstly carried out in order to define the structure of a Digital Museum Ontology, a complex semantic resource able to store documents of various typologies. Then, it was elaborated a digital museum project, which starting from existing images will introduce to an interactive way of experiencing the heritage in question. This experimentation has the intent of finding a best practice for the creation of virtual exhibitions. 

TEACHING CAD PROGRAMMING TO ARCHITECTURE STUDENTS

Directory of Open Access Journals (Sweden)

Maria Gabriela Caffarena CELANI

2008-11-01

Full Text Available The objective of this paper is to discuss the relevance of including the discipline of computer programming in the architectural curriculum. To do so I start by explaining how computer programming has been applied in other educational contexts with pedagogical success, describing Seymour Papert's principles. After that, I summarize the historical development of CAD and provide three historical examples of educational applications of computer programming in architecture, followed by a contemporary case that I find of particular relevance. Next, I propose a methodology for teaching programming for architects that aims at improving the quality of designs by making their concepts more explicit. This methodology is based on my own experience teaching computer programming for architecture students at undergraduate and graduate levels at the State University of Campinas, Brazil. The paper ends with a discussion about the role of programming nowadays, when most CAD software are user-friendly and do not require any knowledge of programming for improving performance. I conclude that the introduction of programming in the CAD curriculum within a proper conceptual framework may transform the concept of architectural education. Key-words: Computer programming; computer-aided design; architectural education.

Architecture academic by information technologies utilization ...

African Journals Online (AJOL)

This research aims at studying teaching modern architecture with information technology approach. Today, information technology is used to transmit knowledge in many universities of the world. Information technology tools are potentially capable of providing engineering students with a broad continuum of curriculum in ...

Organising Documentation in Knowledge Evolution and Communication

Directory of Open Access Journals (Sweden)

Cristina De Castro

2007-06-01

Full Text Available The knowledge of a subject evolves in time due to many factors, such as better understanding, study of additional issues within the same subject, study of related work from other themes, etc. This can be achieved by individual work, direct cooperation with other people and, in general, knowledge sharing. In this context, and in the broader context of knowledge communication, the appropriate organisation of documentation plays a fundamental role, but is often very difficult to achieve. A layered architecture is here proposed for the development of a structured repository of documentation, here called knowledge-bibliography KB. The process of knowledge acquisition, evolution and communication is firstly considered, then the distributed nature of nowadays knowledge and the ways it is shared and transferred are taken into account. On the basis of the above considerations, a possible clustering of documentation collected by many people is defined. An LDAP-based architecture for the implementation of this structure is also discussed.

Preliminary findings demonstrating latent effects of early adolescent marijuana use onset on cortical architecture

Directory of Open Access Journals (Sweden)

Francesca M. Filbey

2015-12-01

Conclusions: Divergent patterns between current MJ use and elements of cortical architecture were associated with early MJ use onset. Considering brain development in early adolescence, findings are consistent with disruptions in pruning. However, divergence with continued use for many years thereafter suggests altered trajectories of brain maturation during late adolescence and beyond.

Making the Invisible Visible: modelling social learning in a knowledge management context

Directory of Open Access Journals (Sweden)

Henry Linger

2001-11-01

Full Text Available The articulation of Knowledge Management as an organisational strategy has occurred in the context of a radical shift towards an information based economy. The most significant aspect for organisations operating in the information economy is their ability to utilise the volumes of information that are now readily available without the constraint of media, geography or time. A critical factor for organisations is the speed at which they are able to productively process such information to enable the organisation to react rapidly to changes in their operating environments. In this context organisation needs to produce and re-produce knowledge. The shift from information to knowledge is an acknowledgment of the significant role of the human actor in the process of transforming information into effective organisational outcomes. Social learning represents important processes that contribute to actors’ ability to understand information, create knowledge from that information and share what they know. Social learning is therefore intrinsic to knowledge management. In this paper we present a knowledge management architecture that supports a learning organisation. This architecture accommodates social learning and processes by which knowledge is internalised and externalised by individuals, work groups and the organisation as a whole. The architecture incorporates a model social learning based on the results of ethnographic studies and a model of learning derived from knowledge management case studies. The architecture is not domain specific but can be applied to activity that can be characterised as knowledge work in an organisational context. As such the architecture can play a variety of roles; as a conceptual framework, as a diagnostic tool to identify breakdown and as a design tool for organisational change.

A meta-level architecture for strategic reasoning in naval planning (Extended abstract)

NARCIS (Netherlands)

Hoogendoorn, M.; Jonker, C.M.; van Maanen, P.P.; Treur, J.

2005-01-01

The management of naval organizations aims at the maximization of mission success by means of monitoring, planning, and strategic reasoning. This paper presents a meta-level architecture for strategic reasoning in naval planning. The architecture is instantiated with decision knowledge acquired from

Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions.

Science.gov (United States)

Akkus, Zeynettin; Galimzianova, Alfiia; Hoogi, Assaf; Rubin, Daniel L; Erickson, Bradley J

2017-08-01

Quantitative analysis of brain MRI is routine for many neurological diseases and conditions and relies on accurate segmentation of structures of interest. Deep learning-based segmentation approaches for brain MRI are gaining interest due to their self-learning and generalization ability over large amounts of data. As the deep learning architectures are becoming more mature, they gradually outperform previous state-of-the-art classical machine learning algorithms. This review aims to provide an overview of current deep learning-based segmentation approaches for quantitative brain MRI. First we review the current deep learning architectures used for segmentation of anatomical brain structures and brain lesions. Next, the performance, speed, and properties of deep learning approaches are summarized and discussed. Finally, we provide a critical assessment of the current state and identify likely future developments and trends.

A Study on the Creation of Architectural Spaces for Children Using Rumi’s Storytelling Method

Directory of Open Access Journals (Sweden)

Fatemeh Moradi

2017-06-01

Full Text Available Public areas of behavioral science knowledge on issues related to children's environmental architecture interested in building their studies, based on the theories of learning and development of children. Children have a particular position in spaces, where grownups live, therefore the quality of spaces, proportions, architectural details, materials and so on, should act in a way that create curiosity, understanding of space and communication, selection and finally, the desire to learn and develop creativity in children. The aim of this project is to create conditions and facilities regarding growing, nurturing, creativity, promotion of knowledge and ability of children. The research methodology in this paper consists of two parts: the field and library studies. Research goals include the creation of conditions and possibilities that are the development of creativity and promotion of children's knowledge and ability. Logical and comparative reasoning method has been used for the conclusion based on case studies. Using dynamic architecture can help to develop creativity in children and the dynamics of architectural space can add deepen the joy of playing and storytelling. As a result, the research tries to link psychology and its appearance in the architectural space. The study suggest that storytelling can be facilitated through architectural space and with the help of it, we can increase the architectural designing of educational and artistic spaces.

Advanced control architecture for autonomous vehicles

Science.gov (United States)

Maurer, Markus; Dickmanns, Ernst D.

1997-06-01

An advanced control architecture for autonomous vehicles is presented. The hierarchical architecture consists of four levels: a vehicle level, a control level, a rule-based level and a knowledge-based level. A special focus is on forms of internal representation, which have to be chosen adequately for each level. The control scheme is applied to VaMP, a Mercedes passenger car which autonomously performs missions on German freeways. VaMP perceives the environment with its sense of vision and conventional sensors. It controls its actuators for locomotion and attention focusing. Modules for perception, cognition and action are discussed.

Architectural switches in plant thylakoid membranes.

Science.gov (United States)

Kirchhoff, Helmut

2013-10-01

Recent progress in elucidating the structure of higher plants photosynthetic membranes provides a wealth of information. It allows generation of architectural models that reveal well-organized and complex arrangements not only on whole membrane level, but also on the supramolecular level. These arrangements are not static but highly responsive to the environment. Knowledge about the interdependency between dynamic structural features of the photosynthetic machinery and the functionality of energy conversion is central to understanding the plasticity of photosynthesis in an ever-changing environment. This review summarizes the architectural switches that are realized in thylakoid membranes of green plants.

Marshall Application Realignment System (MARS) Architecture

Science.gov (United States)

Belshe, Andrea; Sutton, Mandy

2010-01-01

The Marshall Application Realignment System (MARS) Architecture project was established to meet the certification requirements of the Department of Defense Architecture Framework (DoDAF) V2.0 Federal Enterprise Architecture Certification (FEAC) Institute program and to provide added value to the Marshall Space Flight Center (MSFC) Application Portfolio Management process. The MARS Architecture aims to: (1) address the NASA MSFC Chief Information Officer (CIO) strategic initiative to improve Application Portfolio Management (APM) by optimizing investments and improving portfolio performance, and (2) develop a decision-aiding capability by which applications registered within the MSFC application portfolio can be analyzed and considered for retirement or decommission. The MARS Architecture describes a to-be target capability that supports application portfolio analysis against scoring measures (based on value) and overall portfolio performance objectives (based on enterprise needs and policies). This scoring and decision-aiding capability supports the process by which MSFC application investments are realigned or retired from the application portfolio. The MARS Architecture is a multi-phase effort to: (1) conduct strategic architecture planning and knowledge development based on the DoDAF V2.0 six-step methodology, (2) describe one architecture through multiple viewpoints, (3) conduct portfolio analyses based on a defined operational concept, and (4) enable a new capability to support the MSFC enterprise IT management mission, vision, and goals. This report documents Phase 1 (Strategy and Design), which includes discovery, planning, and development of initial architecture viewpoints. Phase 2 will move forward the process of building the architecture, widening the scope to include application realignment (in addition to application retirement), and validating the underlying architecture logic before moving into Phase 3. The MARS Architecture key stakeholders are most

MAS architecture and knowledge model for vehicles data communication

Directory of Open Access Journals (Sweden)

René MANDIAU

2013-07-01

Full Text Available Normal 0 21 false false false EN-US JA X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Tabla normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:Cambria; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin; mso-ansi-language:EN-US;} Completely autonomous vehicles in traffic should allow to decrease the number of road accident victims greatly, and should allow gains in terms of performance and economy. Modelling the vehicles interaction, and especially knowledge sharing, is one of the main challenges to optimize traffic flow with autonomous vehicles. We propose in this paper a model of knowledge communication between mobile agents on a traffic network. The model of knowledge and of interaction enables to propagate new knowledge without overloading the system with a too large number of communications. For that, only the new knowledge is communicated, and two agents communicate the same knowledge only once. Moreover, in order to allow agents to update their knowledge (perceived or created, a notion of degradation is used. A simulator has been built to evaluate the proposal, before to implement it in mobile robots. Some results of the simulator are proposed in this article.

MAS architecture and knowledge model for vehicles data communication

Directory of Open Access Journals (Sweden)

Emmanuel ADAM

2012-07-01

Full Text Available Normal 0 21 false false false EN-US JA X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Tabla normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:Cambria; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin; mso-ansi-language:EN-US;} Completely autonomous vehicles in traffic should allow to decrease the number of road accident victims greatly, and should allow gains in terms of performance and economy. Modelling the vehicles interaction, and especially knowledge sharing, is one of the main challenges to optimize traffic flow with autonomous vehicles. We propose in this paper a model of knowledge communication between mobile agents on a traffic network. The model of knowledge and of interaction enables to propagate new knowledge without overloading the system with a too large number of communications. For that, only the new knowledge is communicated, and two agents communicate the same knowledge only once. Moreover, in order to allow agents to update their knowledge (perceived or created, a notion of degradation is used. A simulator has been built to evaluate the proposal, before to implement it in mobile robots. Some results of the simulator are proposed in this article.

Driving and driven architectures of directed small-world human brain functional networks.

Directory of Open Access Journals (Sweden)

Chaogan Yan

Full Text Available Recently, increasing attention has been focused on the investigation of the human brain connectome that describes the patterns of structural and functional connectivity networks of the human brain. Many studies of the human connectome have demonstrated that the brain network follows a small-world topology with an intrinsically cohesive modular structure and includes several network hubs in the medial parietal regions. However, most of these studies have only focused on undirected connections between regions in which the directions of information flow are not taken into account. How the brain regions causally influence each other and how the directed network of human brain is topologically organized remain largely unknown. Here, we applied linear multivariate Granger causality analysis (GCA and graph theoretical approaches to a resting-state functional MRI dataset with a large cohort of young healthy participants (n = 86 to explore connectivity patterns of the population-based whole-brain functional directed network. This directed brain network exhibited prominent small-world properties, which obviously improved previous results of functional MRI studies showing weak small-world properties in the directed brain networks in terms of a kernel-based GCA and individual analysis. This brain network also showed significant modular structures associated with 5 well known subsystems: fronto-parietal, visual, paralimbic/limbic, subcortical and primary systems. Importantly, we identified several driving hubs predominantly located in the components of the attentional network (e.g., the inferior frontal gyrus, supplementary motor area, insula and fusiform gyrus and several driven hubs predominantly located in the components of the default mode network (e.g., the precuneus, posterior cingulate gyrus, medial prefrontal cortex and inferior parietal lobule. Further split-half analyses indicated that our results were highly reproducible between two

Solid knowledge

DEFF Research Database (Denmark)

Brix, Anders

2008-01-01

The great icons of industrial and architectural design are cornerstones of our material culture. They are referred to again and again in education, research and cultural debate, and as such they have become nodal points of human discourse. The knowledge embedded in such artefacts has often been...... referred to as ‘silent knowledge’....

The Leadership Brain for Dummies

CERN Document Server

Sprenger, Marilee B

2010-01-01

Discover how scientific knowledge of the brain can make you a better leader. Based upon the latest breakthroughs in neuroscience and advances in brain-based education, Leadership Brain For Dummies gives you the edge to influence, lead, and transform any team or organization. Drawing concrete connections between the growing scientific knowledge of the brain and leadership, this book gives you the skills to assess your strengths and weaknesses as a leader, adopt a style of leadership that suits your characteristics, determine the learning styles of individual employees, and conduct training sess

The Need for Software Architecture Evaluation in the Acquisition of Software-Intensive Sysetms

Science.gov (United States)

2014-01-01

Function and Performance Specification GIG Global Information Grid ISO International Standard Organisation MDA Model Driven Architecture...architecture and design, which is a key part of knowledge-based economy UNCLASSIFIED DSTO-TR-2936 UNCLASSIFIED 24  Allow Australian SMEs to

FRIEND: a brain-monitoring agent for adaptive and assistive systems.

Science.gov (United States)

Morris, Alexis; Ulieru, Mihaela

2012-01-01

This paper presents an architectural design for adaptive-systems agents (FRIEND) that use brain state information to make more effective decisions on behalf of a user; measuring brain context versus situational demands. These systems could be useful for alerting users to cognitive workload levels or fatigue, and could attempt to compensate for higher cognitive activity by filtering noise information. In some cases such systems could also share control of devices, such as pulling over in an automated vehicle. These aim to assist people in everyday systems to perform tasks better and be more aware of internal states. Achieving a functioning system of this sort is a challenge, involving a unification of brain- computer-interfaces, human-computer-interaction, soft-computin deliberative multi-agent systems disciplines. Until recently, these were not able to be combined into a usable platform due largely to technological limitations (e.g., size, cost, and processing speed), insufficient research on extracting behavioral states from EEG signals, and lack of low-cost wireless sensing headsets. We aim to surpass these limitations and develop control architectures for making sense of brain state in applications by realizing an agent architecture for adaptive (human-aware) technology. In this paper we present an early, high-level design towards implementing a multi-purpose brain-monitoring agent system to improve user quality of life through the assistive applications of psycho-physiological monitoring, noise-filtering, and shared system control.

HEART WISDOM: THE SEARCH BEYOND HEAD KNOWLEDGE

African Journals Online (AJOL)

cept of knowledge is examined and suggestions are made as to how the situation might be improved. ... with left-brain functioning (Figure Ia). Most of this knowledge ... right .. brain learn5ngs'in recognition of a whole new dimension in learnlng ...

A Conceptual Architecture for Adaptive Human-Computer Interface of a PT Operation Platform Based on Context-Awareness

Directory of Open Access Journals (Sweden)

Qing Xue

2014-01-01

Full Text Available We present a conceptual architecture for adaptive human-computer interface of a PT operation platform based on context-awareness. This architecture will form the basis of design for such an interface. This paper describes components, key technologies, and working principles of the architecture. The critical contents covered context information modeling, processing, relationship establishing between contexts and interface design knowledge by use of adaptive knowledge reasoning, and visualization implementing of adaptive interface with the aid of interface tools technology.

Architecture and monument

Directory of Open Access Journals (Sweden)

Arjen Oosterman

2010-08-01

Full Text Available The relation between architectural history and heritage is ambiguous. Both domains are confronted with rapid changes in scale and complexity, leaving practitioners in both fields with the challenging task to provide new methods and a new vocabulary to enable research and communication. 70 years ago Nicolaus Pevsner could write about Lincoln cathedral and the bicycle shed to discern between architecture and building. These days not only housing and urban development have been accepted as ‘objects’ of research, in fact all material manifestation of human occupation, at least as far as design is involved, is considered worth studying. On the heritage side, developments are comparable: horizontally and vertically the domain has been enlarged tremendously: from a collection of ‘diamonds’ to complete cities, to landscapes and structures. This is not only true for scale and layers, but also for cultural norms of quality. Cultural relativism requires that ‘beauty’ and ‘quality’ are defined in relation to the social group or culture they refer to. The logic that an elite determines what is good and what is right is challenged by the notion that popular taste is in principle equal. So what does this do to our museum collections and lists of protected monuments? The consequences for architectural history are not yet clear. Including new realities like digital design and new fields of practice like the virtual, the knowledge base and toolbox of the architectural historian has to expand beyond the Renaissance ideal of the ‘uomo universale’.

Application architecture for .NET designing applications and services

CERN Document Server

Microsoft. Redmond

2003-01-01

Get expert architectural and design-level guidance for building distributed solutions with the Microsoft® .NET Framework-learning how to synthesize your knowledge of application development, servers, and infrastructure and business requirements. This guide assumes you are familiar with .NET component development and the basic principles of a layered distributed application design. It examines architectural issues and solution design for a range of project stakeholders-whether you build and design applications and services, recommend appropriate technologies and products for applications and s

Knowledge is power: how conceptual knowledge transforms visual cognition.

Science.gov (United States)

Collins, Jessica A; Olson, Ingrid R

2014-08-01

In this review, we synthesize the existing literature demonstrating the dynamic interplay between conceptual knowledge and visual perceptual processing. We consider two theoretical frameworks that demonstrate interactions between processes and brain areas traditionally considered perceptual or conceptual. Specifically, we discuss categorical perception, in which visual objects are represented according to category membership, and highlight studies showing that category knowledge can penetrate early stages of visual analysis. We next discuss the embodied account of conceptual knowledge, which holds that concepts are instantiated in the same neural regions required for specific types of perception and action, and discuss the limitations of this framework. We additionally consider studies showing that gaining abstract semantic knowledge about objects and faces leads to behavioral and electrophysiological changes that are indicative of more efficient stimulus processing. Finally, we consider the role that perceiver goals and motivation may play in shaping the interaction between conceptual and perceptual processing. We hope to demonstrate how pervasive such interactions between motivation, conceptual knowledge, and perceptual processing are in our understanding of the visual environment, and to demonstrate the need for future research aimed at understanding how such interactions arise in the brain.

The Changes in Architecture Terminology

Directory of Open Access Journals (Sweden)

Francois Tran

2012-10-01

Full Text Available The intention of this research is to inspire a discussion about the changes in architecture terminologywith the revolution in communication and representation forms as a result of digitalisation.The blurred boundary between the virtual and the analogue worlds, the misunderstandings andthe confusion that appear with the interaction of these two worlds nowadays form the major problems facing architectural design, education and research. The researchers in this field arefocused on the interface, the meeting and the transformation point between the digital and analogue worlds in order to prevent those problems and confusions. One of the main reasonsof this ambiguity is the architectural terminology that changes according to the changing status of architectural representation i.e. new forms of representation; new forms of communicationi.e. the new role of the architect and the researcher.Whenever and wherever information and knowledge specialised is created, communicated ortransformed terminology is involved in a way or another. An absence of terminology is combined with an absence of an understanding of concepts. Therefore with the new information and communication technologies; new and developing subject areas the existence of terminology and its update is indispensable. Thus the changing status of the terminology must be analysed. As architecture terminology is essential to improve today’s challenging, multidisciplinary communication in order to clarify the problems of ambiguity and unawareness (as a result of shift of specific architectural vocabulary it is necessary to analyse the changes in the architectural terminology which will form the discussion point of the following paper.As this paper is the beginning step of a research project which started on the occasion of the conference proposed by EAAE/ARCC we will here present only the objectives of this research,its general problematics, the methods that we wish to develop and some provisional

On Some Aspects of Study on Dimensions and Proportions of Church Architecture

Science.gov (United States)

Kolobaeva, T. V.

2017-11-01

Architecture forms and arranges the environment required for a comfortable life and human activity. The modern principles of architectural space arrangement and form making are represented by a reliable system of buildings which are used in design. Architects apply these principles and knowledge of space arrangement in regard to the study of special and regulatory literature when performing a particular creative task. This system of accumulated knowledge is perceived in the form of an existing stereotype with no regard for understanding of the form making and experience inherent to the architects and thinkers of previous ages. We make an attempt to restore this connection as the form-making specific regularities known by ancient architects should be taken into account. The paper gives an insight into some aspects of traditional dimensions and proportions of church architecture.

Baby brain atlases.

Science.gov (United States)

Oishi, Kenichi; Chang, Linda; Huang, Hao

2018-04-03

The baby brain is constantly changing due to its active neurodevelopment, and research into the baby brain is one of the frontiers in neuroscience. To help guide neuroscientists and clinicians in their investigation of this frontier, maps of the baby brain, which contain a priori knowledge about neurodevelopment and anatomy, are essential. "Brain atlas" in this review refers to a 3D-brain image with a set of reference labels, such as a parcellation map, as the anatomical reference that guides the mapping of the brain. Recent advancements in scanners, sequences, and motion control methodologies enable the creation of various types of high-resolution baby brain atlases. What is becoming clear is that one atlas is not sufficient to characterize the existing knowledge about the anatomical variations, disease-related anatomical alterations, and the variations in time-dependent changes. In this review, the types and roles of the human baby brain MRI atlases that are currently available are described and discussed, and future directions in the field of developmental neuroscience and its clinical applications are proposed. The potential use of disease-based atlases to characterize clinically relevant information, such as clinical labels, in addition to conventional anatomical labels, is also discussed. Copyright © 2018. Published by Elsevier Inc.

A Method for Developing Enterprise Architecture Frameworks: An Interpretive Phenomenology Study

Directory of Open Access Journals (Sweden)

Ali Moeini

2015-03-01

Full Text Available Nowadays, many of organizations, who are involved in enterprise architecting, make their own architecture framework or customize existing frameworks. These endeavors are based on the knowledge and the experience of each organization, and there is no defined method for developing the enterprise architecture framework. Therefore, a method for developing architecture framework is presented in this qualitative research. For this reason, 15 versions of 5 most used architecture frameworks are analyzed based on the interpretive phenomenology. Based on this analysis, a method for developing architecture frameworks is introduced which contains 8 disciplines and 6 phases. Analyzing the qualitative data of the research and also the validation of the research are carried out using the guidelines of Van Manen in the interpretive phenomenology.

A Lovely Building for Difficult Knowledge: The Architecture of the Canadian Museum for Human Rights

Science.gov (United States)

Wodtke, Larissa

2015-01-01

One only needs to look at the Canadian Museum for Human Rights (CMHR) logo, with its abstract outline of the CMHR building, to see the way in which the museum's architecture has come to stand for the CMHR's immaterial meanings and content. The CMHR's architecture becomes a material intersection of discourses of cosmopolitanism, human rights, and…

Stereotactically Standard Areas: Applied Mathematics in the Service of Brain Targeting in Deep Brain Stimulation.

Science.gov (United States)

Mavridis, Ioannis N

2017-12-11

The concept of stereotactically standard areas (SSAs) within human brain nuclei belongs to the knowledge of the modern field of stereotactic brain microanatomy. These are areas resisting the individual variability of the nuclear location in stereotactic space. This paper summarizes the current knowledge regarding SSAs. A mathematical formula of SSAs was recently invented, allowing for their robust, reproducible, and accurate application to laboratory studies and clinical practice. Thus, SSAs open new doors for the application of stereotactic microanatomy to highly accurate brain targeting, which is mainly useful for minimally invasive neurosurgical procedures, such as deep brain stimulation.

Stereotactically Standard Areas: Applied Mathematics in the Service of Brain Targeting in Deep Brain Stimulation

Directory of Open Access Journals (Sweden)

Ioannis N. Mavridis

2017-12-01

Full Text Available The concept of stereotactically standard areas (SSAs within human brain nuclei belongs to the knowledge of the modern field of stereotactic brain microanatomy. These are areas resisting the individual variability of the nuclear location in stereotactic space. This paper summarizes the current knowledge regarding SSAs. A mathematical formula of SSAs was recently invented, allowing for their robust, reproducible, and accurate application to laboratory studies and clinical practice. Thus, SSAs open new doors for the application of stereotactic microanatomy to highly accurate brain targeting, which is mainly useful for minimally invasive neurosurgical procedures, such as deep brain stimulation.

"Sia funzion la rappresentazione". Carlo Lodoli and the Crisis of Architecture

Directory of Open Access Journals (Sweden)

Ungureanu, Cosmin

2011-03-01

Full Text Available Similarly with the progressive turn from magic to sciences, architecture underwent a slow transformation starting with the last decades of the 17thcentury. Inevitably, the increase in rationality provoked the loss of the mythical component that still infused the Early Modern architectural theory. Carlo Lodoli's thought plays an important part in this process, as it carries forth the questioning of the authority of ancient knowledge, practice and aesthetics, while emphasizing the ethical function of architecture. This paper is an attempt to see Lodoli's theory through the lens of the coeval scientific achievements, while presenting him as an actor of the architectural crisis at the end of classical modernity.

Interacting Brain Modules for Memory: An Adaptive Representations Architecture

National Research Council Canada - National Science Library

Gluck, Mark A

2008-01-01

...) as a central system for creating optimal and adaptive stimulus representations, and then worked outwards from the hippocampal region to the brain systems that it modulates, including the cerebellum...

Cognitive Architecture for Direction of Attention Founded on Subliminal Memory Searches, Pseudorandom and Nonstop

OpenAIRE

Burger, J. R.

2008-01-01

By way of explaining how a brain works logically, human associative memory is modeled with logical and memory neurons, corresponding to standard digital circuits. The resulting cognitive architecture incorporates basic psychological elements such as short term and long term memory. Novel to the architecture are memory searches using cues chosen pseudorandomly from short term memory. Recalls alternated with sensory images, many tens per second, are analyzed subliminally as an ongoing process, ...

Applications of Case Based Organizational Memory Supported by the PAbMM Architecture

Directory of Open Access Journals (Sweden)

Martín

2017-04-01

Full Text Available In the aim to manage and retrieve the organizational knowledge, in the last years numerous proposals of models and tools for knowledge management and knowledge representation have arisen. However, most of them store knowledge in a non-structured or semi-structured way, hindering the semantic and automatic processing of this knowledge. In this paper we present a more detailed case-based organizational memory ontology, which aims at contributing to the design of an organizational memory based on cases, so that it can be used to learn, reasoning, solve problems, and as support to better decision making as well. The objective of this Organizational Memory is to serve as base for the organizational knowledge exchange in a processing architecture specialized in the measurement and evaluation. In this way, our processing architecture is based on the C-INCAMI framework (Context-Information Need, Concept model, Attribute, Metric and Indicator for defining the measurement projects. Additionally, the proposal architecture uses a big data repository to make available the data for consumption and to manage the Organizational Memory, which allows a feedback mechanism in relation with online processing. In order to illustrate its utility, two practical cases are explained: A pasture predictor system, using the data of the weather radar (WR of the Experimental Agricultural Station (EAS INTA Anguil (La Pampa State, Argentina and an outpatient monitoring scenario. Future trends and concluding remarks are extended.

Emerging technology and architecture for big-data analytics

CERN Document Server

Chang, Chip; Yu, Hao

2017-01-01

This book describes the current state of the art in big-data analytics, from a technology and hardware architecture perspective. The presentation is designed to be accessible to a broad audience, with general knowledge of hardware design and some interest in big-data analytics. Coverage includes emerging technology and devices for data-analytics, circuit design for data-analytics, and architecture and algorithms to support data-analytics. Readers will benefit from the realistic context used by the authors, which demonstrates what works, what doesn’t work, and what are the fundamental problems, solutions, upcoming challenges and opportunities. Provides a single-source reference to hardware architectures for big-data analytics; Covers various levels of big-data analytics hardware design abstraction and flow, from device, to circuits and systems; Demonstrates how non-volatile memory (NVM) based hardware platforms can be a viable solution to existing challenges in hardware architecture for big-data analytics.

Distributed expert system architecture using a dedicated knowledge server

International Nuclear Information System (INIS)

Trovato, S.A.; Lindgren, B.M.; Touchton, R.A.

1991-01-01

This paper presents an up-to-date look at REALM, the Reactor Emergency Action Level Monitor Expert Advisor System, including recent innovations in the system architecture and our approach to Verification and Validation (V and V). The emergency classification domain is reviewed and the problem, solution and benefits are outlined. A REALM system description is then presented, followed by a description of the REALM V and V approach. The paper concludes with a look at how REALM is being generalized to embrace plant sensor interpretation beyond emergency classification (e.g. On-line Tech Spec or thermal performance monitoring) under the name of OASYS, for On-line Advisory System

CHRONOS architecture: Experiences with an open-source services-oriented architecture for geoinformatics

Science.gov (United States)

Fils, D.; Cervato, C.; Reed, J.; Diver, P.; Tang, X.; Bohling, G.; Greer, D.

2009-01-01

CHRONOS's purpose is to transform Earth history research by seamlessly integrating stratigraphic databases and tools into a virtual on-line stratigraphic record. In this paper, we describe the various components of CHRONOS's distributed data system, including the encoding of semantic and descriptive data into a service-based architecture. We give examples of how we have integrated well-tested resources available from the open-source and geoinformatic communities, like the GeoSciML schema and the simple knowledge organization system (SKOS), into the services-oriented architecture to encode timescale and phylogenetic synonymy data. We also describe on-going efforts to use geospatially enhanced data syndication and informally including semantic information by embedding it directly into the XHTML Document Object Model (DOM). XHTML DOM allows machine-discoverable descriptive data such as licensing and citation information to be incorporated directly into data sets retrieved by users. ?? 2008 Elsevier Ltd. All rights reserved.

A cognitive architecture-based model of graph comprehension

OpenAIRE

Peebles, David

2012-01-01

I present a model of expert comprehension performance for 2 × 2 "interaction" graphs typically used to present data from two-way factorial research designs. Developed using the ACT-R cognitive architecture, the model simulates the cognitive and perceptual operations involved in interpreting interaction graphs and provides a detailed characterisation of the information extracted from the diagram, the prior knowledge required to interpret interaction graphs, and the knowledge generated during t...

Ecclesiastical architecture, topography, and religious communication in the Bolivian highlands

Directory of Open Access Journals (Sweden)

Astrid Windus

2016-03-01

Full Text Available The paper investigates the role of architecture, topography, and space for the religious communication and the creation of sacred space in the colonial Bolivian altiplano. It scrutinizes different forms and techniques of representation of Christian and Andean concepts in religious architectures, like churches and churchyards. Moreover, taking into account the case of the Andean town of Carabuco, its topographical characteristics, architectural artifacts and the representation of both in a visual source of the 17th century, it sheds new light on the processes of communication and appropriation of religious knowledge in a colonial contact zone.

Objective Ventricle Segmentation in Brain CT with Ischemic Stroke Based on Anatomical Knowledge

Directory of Open Access Journals (Sweden)

Xiaohua Qian

2017-01-01

Full Text Available Ventricle segmentation is a challenging technique for the development of detection system of ischemic stroke in computed tomography (CT, as ischemic stroke regions are adjacent to the brain ventricle with similar intensity. To address this problem, we developed an objective segmentation system of brain ventricle in CT. The intensity distribution of the ventricle was estimated based on clustering technique, connectivity, and domain knowledge, and the initial ventricle segmentation results were then obtained. To exclude the stroke regions from initial segmentation, a combined segmentation strategy was proposed, which is composed of three different schemes: (1 the largest three-dimensional (3D connected component was considered as the ventricular region; (2 the big stroke areas were removed by the image difference methods based on searching optimal threshold values; (3 the small stroke regions were excluded by the adaptive template algorithm. The proposed method was evaluated on 50 cases of patients with ischemic stroke. The mean Dice, sensitivity, specificity, and root mean squared error were 0.9447, 0.969, 0.998, and 0.219 mm, respectively. This system can offer a desirable performance. Therefore, the proposed system is expected to bring insights into clinic research and the development of detection system of ischemic stroke in CT.

Cerebral energy metabolism and the brain's functional network architecture: an integrative review.

Science.gov (United States)

Lord, Louis-David; Expert, Paul; Huckins, Jeremy F; Turkheimer, Federico E

2013-09-01

Recent functional magnetic resonance imaging (fMRI) studies have emphasized the contributions of synchronized activity in distributed brain networks to cognitive processes in both health and disease. The brain's 'functional connectivity' is typically estimated from correlations in the activity time series of anatomically remote areas, and postulated to reflect information flow between neuronal populations. Although the topological properties of functional brain networks have been studied extensively, considerably less is known regarding the neurophysiological and biochemical factors underlying the temporal coordination of large neuronal ensembles. In this review, we highlight the critical contributions of high-frequency electrical oscillations in the γ-band (30 to 100 Hz) to the emergence of functional brain networks. After describing the neurobiological substrates of γ-band dynamics, we specifically discuss the elevated energy requirements of high-frequency neural oscillations, which represent a mechanistic link between the functional connectivity of brain regions and their respective metabolic demands. Experimental evidence is presented for the high oxygen and glucose consumption, and strong mitochondrial performance required to support rhythmic cortical activity in the γ-band. Finally, the implications of mitochondrial impairments and deficits in glucose metabolism for cognition and behavior are discussed in the context of neuropsychiatric and neurodegenerative syndromes characterized by large-scale changes in the organization of functional brain networks.

Small-world organization of self-similar modules in functional brain networks

Science.gov (United States)

Sigman, Mariano; Gallos, Lazaros; Makse, Hernan

2012-02-01

The modular organization of the brain implies the parallel nature of brain computations. These modules have to remain functionally independent, but at the same time they need to be sufficiently connected to guarantee the unitary nature of brain perception. Small-world architectures have been suggested as probable structures explaining this behavior. However, there is intrinsic tension between shortcuts generating small-worlds and the persistence of modularity. In this talk, we study correlations between the activity in different brain areas. We suggest that the functional brain network formed by the percolation of strong links is highly modular. Contrary to the common view, modules are self-similar and therefore are very far from being small-world. Incorporating the weak ties to the network converts it into a small-world preserving an underlying backbone of well-defined modules. Weak ties are shown to follow a pattern that maximizes information transfer with minimal wiring costs. This architecture is reminiscent of the concept of weak-ties strength in social networks and provides a natural solution to the puzzle of efficient infomration flow in the highly modular structure of the brain.

Matrix metalloproteinases in the brain and blood–brain barrier: Versatile breakers and makers

Science.gov (United States)

Rempe, Ralf G; Hartz, Anika MS

2016-01-01

Matrix metalloproteinases are versatile endopeptidases with many different functions in the body in health and disease. In the brain, matrix metalloproteinases are critical for tissue formation, neuronal network remodeling, and blood–brain barrier integrity. Many reviews have been published on matrix metalloproteinases before, most of which focus on the two best studied matrix metalloproteinases, the gelatinases MMP-2 and MMP-9, and their role in one or two diseases. In this review, we provide a broad overview of the role various matrix metalloproteinases play in brain disorders. We summarize and review current knowledge and understanding of matrix metalloproteinases in the brain and at the blood–brain barrier in neuroinflammation, multiple sclerosis, cerebral aneurysms, stroke, epilepsy, Alzheimer’s disease, Parkinson’s disease, and brain cancer. We discuss the detrimental effects matrix metalloproteinases can have in these conditions, contributing to blood–brain barrier leakage, neuroinflammation, neurotoxicity, demyelination, tumor angiogenesis, and cancer metastasis. We also discuss the beneficial role matrix metalloproteinases can play in neuroprotection and anti-inflammation. Finally, we address matrix metalloproteinases as potential therapeutic targets. Together, in this comprehensive review, we summarize current understanding and knowledge of matrix metalloproteinases in the brain and at the blood–brain barrier in brain disorders. PMID:27323783

Technology System Architecture for Web–Based Education

Directory of Open Access Journals (Sweden)

A. Canales–Cruz

2009-04-01

Full Text Available In this paper a new architecture for development of Web–Based Education systems is presented. The se systems are centered in the learner and adapted to their personals needs in intelligent form. The architecture is based on the IEEE 1484 LTSA (Learning Technology System Architecture specification and it assembles to software development and instructional design patterns. On the one hand, the software development pattern is supported under a Multi–Agents System, it employs the methods and technical of the Domain Engineering for development of IRLCOO (Intelligent Reusable Learning Components Object Oriented. IRLCOO are a special type of Sharable Content Object according to SCORM (Sharable Content Object Reusable Model. On the other hand, the instructional design pattern incorporates a mental model as the Conceptual Maps to transmit, build and generate appropriate knowledge to this educational environment type.

Brain architecture in the terrestrial hermit crab Coenobita clypeatus (Anomura, Coenobitidae, a crustacean with a good aerial sense of smell

Directory of Open Access Journals (Sweden)

Hansson Bill S

2008-06-01

Full Text Available Abstract Background During the evolutionary radiation of Crustacea, several lineages in this taxon convergently succeeded in meeting the physiological challenges connected to establishing a fully terrestrial life style. These physiological adaptations include the need for sensory organs of terrestrial species to function in air rather than in water. Previous behavioral and neuroethological studies have provided solid evidence that the land hermit crabs (Coenobitidae, Anomura are a group of crustaceans that have evolved a good sense of aerial olfaction during the conquest of land. We wanted to study the central olfactory processing areas in the brains of these organisms and to that end analyzed the brain of Coenobita clypeatus (Herbst, 1791; Anomura, Coenobitidae, a fully terrestrial tropical hermit crab, by immunohistochemistry against synaptic proteins, serotonin, FMRFamide-related peptides, and glutamine synthetase. Results The primary olfactory centers in this species dominate the brain and are composed of many elongate olfactory glomeruli. The secondary olfactory centers that receive an input from olfactory projection neurons are almost equally large as the olfactory lobes and are organized into parallel neuropil lamellae. The architecture of the optic neuropils and those areas associated with antenna two suggest that C. clypeatus has visual and mechanosensory skills that are comparable to those of marine Crustacea. Conclusion In parallel to previous behavioral findings of a good sense of aerial olfaction in C. clypeatus, our results indicate that in fact their central olfactory pathway is most prominent, indicating that olfaction is a major sensory modality that these brains process. Interestingly, the secondary olfactory neuropils of insects, the mushroom bodies, also display a layered structure (vertical and medial lobes, superficially similar to the lamellae in the secondary olfactory centers of C. clypeatus. More detailed analyses with

Uncovering intrinsic modular organization of spontaneous brain activity in humans.

Directory of Open Access Journals (Sweden)

Yong He

Full Text Available The characterization of topological architecture of complex brain networks is one of the most challenging issues in neuroscience. Slow (<0.1 Hz, spontaneous fluctuations of the blood oxygen level dependent (BOLD signal in functional magnetic resonance imaging are thought to be potentially important for the reflection of spontaneous neuronal activity. Many studies have shown that these fluctuations are highly coherent within anatomically or functionally linked areas of the brain. However, the underlying topological mechanisms responsible for these coherent intrinsic or spontaneous fluctuations are still poorly understood. Here, we apply modern network analysis techniques to investigate how spontaneous neuronal activities in the human brain derived from the resting-state BOLD signals are topologically organized at both the temporal and spatial scales. We first show that the spontaneous brain functional networks have an intrinsically cohesive modular structure in which the connections between regions are much denser within modules than between them. These identified modules are found to be closely associated with several well known functionally interconnected subsystems such as the somatosensory/motor, auditory, attention, visual, subcortical, and the "default" system. Specifically, we demonstrate that the module-specific topological features can not be captured by means of computing the corresponding global network parameters, suggesting a unique organization within each module. Finally, we identify several pivotal network connectors and paths (predominantly associated with the association and limbic/paralimbic cortex regions that are vital for the global coordination of information flow over the whole network, and we find that their lesions (deletions critically affect the stability and robustness of the brain functional system. Together, our results demonstrate the highly organized modular architecture and associated topological properties in

Resting state networks' corticotopy: the dual intertwined rings architecture.

Directory of Open Access Journals (Sweden)

Salma Mesmoudi

Full Text Available How does the brain integrate multiple sources of information to support normal sensorimotor and cognitive functions? To investigate this question we present an overall brain architecture (called "the dual intertwined rings architecture" that relates the functional specialization of cortical networks to their spatial distribution over the cerebral cortex (or "corticotopy". Recent results suggest that the resting state networks (RSNs are organized into two large families: 1 a sensorimotor family that includes visual, somatic, and auditory areas and 2 a large association family that comprises parietal, temporal, and frontal regions and also includes the default mode network. We used two large databases of resting state fMRI data, from which we extracted 32 robust RSNs. We estimated: (1 the RSN functional roles by using a projection of the results on task based networks (TBNs as referenced in large databases of fMRI activation studies; and (2 relationship of the RSNs with the Brodmann Areas. In both classifications, the 32 RSNs are organized into a remarkable architecture of two intertwined rings per hemisphere and so four rings linked by homotopic connections. The first ring forms a continuous ensemble and includes visual, somatic, and auditory cortices, with interspersed bimodal cortices (auditory-visual, visual-somatic and auditory-somatic, abbreviated as VSA ring. The second ring integrates distant parietal, temporal and frontal regions (PTF ring through a network of association fiber tracts which closes the ring anatomically and ensures a functional continuity within the ring. The PTF ring relates association cortices specialized in attention, language and working memory, to the networks involved in motivation and biological regulation and rhythms. This "dual intertwined architecture" suggests a dual integrative process: the VSA ring performs fast real-time multimodal integration of sensorimotor information whereas the PTF ring performs multi

A Quick Tour of the Brain.

Science.gov (United States)

Hart, Leslie

1983-01-01

Using a question-and-answer format, the author discusses brain research, its relationship to existing learning theory, left- and right-brain differences and their relationship to logical thinking, brain growth spurts, learning styles, and the effects of future brain knowledge on learning, especially on schools' development of brain-compatible…

Participative Knowledge Production of Learning Objects for E-Books.

Science.gov (United States)

Dodero, Juan Manuel; Aedo, Ignacio; Diaz, Paloma

2002-01-01

Defines a learning object as any digital resource that can be reused to support learning and thus considers electronic books as learning objects. Highlights include knowledge management; participative knowledge production, i.e. authoring electronic books by a distributed group of authors; participative knowledge production architecture; and…

TheBrain Technologies Corporation: Collapsing the Time to Knowledge.

Science.gov (United States)

Misek, Marla

2003-01-01

TheBrain was created to take advantage of the most powerful information processor in existence - the human mind. Explains products of TheBrain Technologies Corporation,, which has developed computer interfaces to help individual users and corporations organize information in ways that make sense to them in the proper context. Describes a…

Virtual Enterprise Reference Architecture and Methodology (VERAM), Joint D41/D43 deliverable of GLOBEMEN

DEFF Research Database (Denmark)

Tølle, Martin; Zwegers, Arian; Vesterager, Johan

2003-01-01

. IMS Globemen is an inter-regional project aiming to develop methods, tools and architectures to support inter-enterprise operations in one-of-kind industries, in different lifecycle phases. This deliverable describes an architectural framework VERAM including a description/elaboration of its elements......-of-a-kind-production”, the concept of the Virtual Enterprise (VE) and the Virtual Enterprise Reference Architecture (VERA) developed in GLOBEMEN. - In Chapter 4 a so-called life history example is presented to give a possible scenario about how an enterprise network could evolve over time, and to point out the need for preparing...... and setting up networks and VEs. The life history example in Chapter 4 highlights the potential for preparing and reusing existing knowledge related to enterprise networks and VEs. - As a means to structure relevant knowledge GLOBEMEN developed the VERAM (Virtual Enterprise Reference Architecture...

A task-based support architecture for developing point-of-care clinical decision support systems for the emergency department.

Science.gov (United States)

Wilk, S; Michalowski, W; O'Sullivan, D; Farion, K; Sayyad-Shirabad, J; Kuziemsky, C; Kukawka, B

2013-01-01

The purpose of this study was to create a task-based support architecture for developing clinical decision support systems (CDSSs) that assist physicians in making decisions at the point-of-care in the emergency department (ED). The backbone of the proposed architecture was established by a task-based emergency workflow model for a patient-physician encounter. The architecture was designed according to an agent-oriented paradigm. Specifically, we used the O-MaSE (Organization-based Multi-agent System Engineering) method that allows for iterative translation of functional requirements into architectural components (e.g., agents). The agent-oriented paradigm was extended with ontology-driven design to implement ontological models representing knowledge required by specific agents to operate. The task-based architecture allows for the creation of a CDSS that is aligned with the task-based emergency workflow model. It facilitates decoupling of executable components (agents) from embedded domain knowledge (ontological models), thus supporting their interoperability, sharing, and reuse. The generic architecture was implemented as a pilot system, MET3-AE--a CDSS to help with the management of pediatric asthma exacerbation in the ED. The system was evaluated in a hospital ED. The architecture allows for the creation of a CDSS that integrates support for all tasks from the task-based emergency workflow model, and interacts with hospital information systems. Proposed architecture also allows for reusing and sharing system components and knowledge across disease-specific CDSSs.

Developing knowledge management systems with an active expert methodology

International Nuclear Information System (INIS)

Sandahl, K.

1992-01-01

Knowledge management, understood as the ability to store, distribute and utilize human knowledge in an organization, is the subject of this dissertation. In particular we have studied the design of methods and supporting software for this process. Detailed and systematic description of the design and development processes of three case-study implementations of knowledge management software are provided. The outcome of the projects is explained in terms of an active expert development methodology, which is centered around support for a domain expert to take substantial responsibility for the design and maintenance of a knowledge management system in a given area of application. Based on the experiences from the case studies and the resulting methodology, an environment for automatically supporting knowledge management was designed in the KNOWLEDGE-LINKER research project. The vital part of this architecture is a knowledge acquisition tool, used directly by the experts in creating and maintaining a knowledge base. An elaborated version of the active expert development methodology was then formulated as the result of applying the KNOWLEDGE-LINKER approach in a fourth case study. This version of the methodology is also accounted for and evaluated together within the supporting KNOWLEDGE-LINKER architecture. (au)

Reptiles: a new model for brain evo-devo research.

Science.gov (United States)

Nomura, Tadashi; Kawaguchi, Masahumi; Ono, Katsuhiko; Murakami, Yasunori

2013-03-01

Vertebrate brains exhibit vast amounts of anatomical diversity. In particular, the elaborate and complex nervous system of amniotes is correlated with the size of their behavioral repertoire. However, the evolutionary mechanisms underlying species-specific brain morphogenesis remain elusive. In this review we introduce reptiles as a new model organism for understanding brain evolution. These animal groups inherited ancestral traits of brain architectures. We will describe several unique aspects of the reptilian nervous system with a special focus on the telencephalon, and discuss the genetic mechanisms underlying reptile-specific brain morphology. The establishment of experimental evo-devo approaches to studying reptiles will help to shed light on the origin of the amniote brains. Copyright © 2013 Wiley Periodicals, Inc.

Architectural slicing

DEFF Research Database (Denmark)

Christensen, Henrik Bærbak; Hansen, Klaus Marius

2013-01-01

Architectural prototyping is a widely used practice, con- cerned with taking architectural decisions through experiments with light- weight implementations. However, many architectural decisions are only taken when systems are already (partially) implemented. This is prob- lematic in the context...... of architectural prototyping since experiments with full systems are complex and expensive and thus architectural learn- ing is hindered. In this paper, we propose a novel technique for harvest- ing architectural prototypes from existing systems, \\architectural slic- ing", based on dynamic program slicing. Given...... a system and a slicing criterion, architectural slicing produces an architectural prototype that contain the elements in the architecture that are dependent on the ele- ments in the slicing criterion. Furthermore, we present an initial design and implementation of an architectural slicer for Java....

Formal Support for Development of Knowledge-Based Systems

NARCIS (Netherlands)

Fensel, Dieter; Van Harmelen, Frank; Reif, Wolfgang; Ten Teije, Annette

1998-01-01

This article provides an approach for developing reliable knowledge-based systems. Its main contributions are: Specification is done at an architectural level that abstracts from a specific implementation formalism. The model of expertise of CommonKADS distinguishs different types of knowledge and

The role of culture in contemporary theories of sustainable architecture

DEFF Research Database (Denmark)

Donovan, Elizabeth

2015-01-01

as it has the potential to bridge between the practical and the symbolic elements of the city. It negotiates the relationships between humans and the physical world both manmade and natural. The role of culture is established in many theories of sustainable architecture and is significant in ensuring...... that place and identity are taken into consideration. However, the disconnection between existing knowledge and practice is increasing as sustainability becomes even more ambiguous and fragmented. Understanding how culture is embedded in many sustainable architecture theories can play an essential role...... climate change and energy shortages, but it also has the ability to mediate between the existing cultural heritage and the future built environment. Ensuring that the architecture of tomorrow represents the culture embodied in our cities. Sustainable architecture can contribute to solving these issues...

Knowledge Management System Model for Learning Organisations

Science.gov (United States)

Amin, Yousif; Monamad, Roshayu

2017-01-01

Based on the literature of knowledge management (KM), this paper reports on the progress of developing a new knowledge management system (KMS) model with components architecture that are distributed over the widely-recognised socio-technical system (STS) aspects to guide developers for selecting the most applicable components to support their KM…

Architecture

OpenAIRE

Clear, Nic

2014-01-01

When discussing science fiction’s relationship with architecture, the usual practice is to look at the architecture “in” science fiction—in particular, the architecture in SF films (see Kuhn 75-143) since the spaces of literary SF present obvious difficulties as they have to be imagined. In this essay, that relationship will be reversed: I will instead discuss science fiction “in” architecture, mapping out a number of architectural movements and projects that can be viewed explicitly as scien...

A Study of an Architecture Design Learning Process Based on Social Learning, Course Teaching, Interaction, and Analogical Thinking

Directory of Open Access Journals (Sweden)

Yun-Wu Wu

2014-01-01

Full Text Available The students in the vocational education of architecture design in Taiwan often face many learning obstacles, such as no problem solving ability and lack of creativity. Therefore, this study used a social learning model as a learning strategy in the architecture design learning process to solve related learning difficulties. Firstly, this study used cognitive development teaching activities and a learning process based on analogical thinking and analogical reasoning to build the social learning model. Secondly, the social learning model of this study was implemented in the teaching of a required course of architecture design for 120 freshmen in China University of Technology. The questionnaire survey results were then statically analyzed and compared to measure the differences in the students’ knowledge about architecture designs before and after the teaching in this study. In this study, the social learning model is proven helpful in inspiring the students’ creativity by converting new knowledge of architecture design into schemas and hence retaining the new knowledge for future application. The social learning model can be applied in the teaching of architecture design in other schools, while more research can be conducted in the future to further confirm its feasibility to promote effective learning.

A Biologically Plausible Action Selection System for Cognitive Architectures: Implications of Basal Ganglia Anatomy for Learning and Decision-Making Models

Science.gov (United States)

Stocco, Andrea

2018-01-01

Several attempts have been made previously to provide a biological grounding for cognitive architectures by relating their components to the computations of specific brain circuits. Often, the architecture's action selection system is identified with the basal ganglia. However, this identification overlooks one of the most important features of…

Brain-wide Maps Reveal Stereotyped Cell-Type-Based Cortical Architecture and Subcortical Sexual Dimorphism.

Science.gov (United States)

Kim, Yongsoo; Yang, Guangyu Robert; Pradhan, Kith; Venkataraju, Kannan Umadevi; Bota, Mihail; García Del Molino, Luis Carlos; Fitzgerald, Greg; Ram, Keerthi; He, Miao; Levine, Jesse Maurica; Mitra, Partha; Huang, Z Josh; Wang, Xiao-Jing; Osten, Pavel

2017-10-05

The stereotyped features of neuronal circuits are those most likely to explain the remarkable capacity of the brain to process information and govern behaviors, yet it has not been possible to comprehensively quantify neuronal distributions across animals or genders due to the size and complexity of the mammalian brain. Here we apply our quantitative brain-wide (qBrain) mapping platform to document the stereotyped distributions of mainly inhibitory cell types. We discover an unexpected cortical organizing principle: sensory-motor areas are dominated by output-modulating parvalbumin-positive interneurons, whereas association, including frontal, areas are dominated by input-modulating somatostatin-positive interneurons. Furthermore, we identify local cell type distributions with more cells in the female brain in 10 out of 11 sexually dimorphic subcortical areas, in contrast to the overall larger brains in males. The qBrain resource can be further mined to link stereotyped aspects of neuronal distributions to known and unknown functions of diverse brain regions. Copyright © 2017 Elsevier Inc. All rights reserved.

The Developmental Brain Disorders Database (DBDB): a curated neurogenetics knowledge base with clinical and research applications.

Science.gov (United States)

Mirzaa, Ghayda M; Millen, Kathleen J; Barkovich, A James; Dobyns, William B; Paciorkowski, Alex R

2014-06-01

The number of single genes associated with neurodevelopmental disorders has increased dramatically over the past decade. The identification of causative genes for these disorders is important to clinical outcome as it allows for accurate assessment of prognosis, genetic counseling, delineation of natural history, inclusion in clinical trials, and in some cases determines therapy. Clinicians face the challenge of correctly identifying neurodevelopmental phenotypes, recognizing syndromes, and prioritizing the best candidate genes for testing. However, there is no central repository of definitions for many phenotypes, leading to errors of diagnosis. Additionally, there is no system of levels of evidence linking genes to phenotypes, making it difficult for clinicians to know which genes are most strongly associated with a given condition. We have developed the Developmental Brain Disorders Database (DBDB: https://www.dbdb.urmc.rochester.edu/home), a publicly available, online-curated repository of genes, phenotypes, and syndromes associated with neurodevelopmental disorders. DBDB contains the first referenced ontology of developmental brain phenotypes, and uses a novel system of levels of evidence for gene-phenotype associations. It is intended to assist clinicians in arriving at the correct diagnosis, select the most appropriate genetic test for that phenotype, and improve the care of patients with developmental brain disorders. For researchers interested in the discovery of novel genes for developmental brain disorders, DBDB provides a well-curated source of important genes against which research sequencing results can be compared. Finally, DBDB allows novel observations about the landscape of the neurogenetics knowledge base. © 2014 Wiley Periodicals, Inc.

ARCHITECTURE OF A SENTIMENT ANALYSIS PLATFORM

Directory of Open Access Journals (Sweden)

CRISTIAN BUCUR

2015-06-01

Full Text Available A new domain of research evolved in the last decade, called sentiment analysis that tries to extract knowledge from opinionated text documents. The article presents an overview of the domain and present an architecture of a system that could perform sentiment analysis processes. Based on previous researches are presented two methods for performing classification and the results obtained.

Structured brain computing and its learning

International Nuclear Information System (INIS)

Ae, Tadashi; Araki, Hiroyuki; Sakai, Keiichi

1999-01-01

We have proposed a two-level architecture for brain computing, where two levels are introduced for processing of meta-symbol. At level 1 a conventional pattern recognition is performed, where neural computation is included, and its output gives the meta-symbol which is a symbol enlarged from a symbol to a kind of pattern. At Level 2 an algorithm acquisition is made by using a machine for abstract states. We are also developing the VLSI chips at each level for SBC (Structured Brain Computer) Ver.1.0

A SOCIO-COGNITIVE APPROACH TO KNOWLEDGE CONSTRUCTION THROUGH BLENDED LEARNING

Directory of Open Access Journals (Sweden)

Tuba Kocaturk

2017-01-01

Full Text Available This paper results from an educational research project that was undertaken by the School of Architecture, at the University of Liverpool funded by the Higher Education Academy in UK. The research explored technology driven shifts in architectural design studio education, identified their cognitive effects on design learning and developed an innovative blended learning approach that was implemented at a masters level digital design studio. The contribution of the research and the proposed approach to the existing knowledge and practice are twofold. Firstly, it offers a new pedagogical framework which integrates social, technical and cognitive dimensions of knowledge construction. And secondly, it offers a unique operational model through the integration of both mediational and instrumental use of digital media. The proposed model provides a useful basis for the effective mobilization of next generation learning technologies which can effectively respond to the learning challenges specific to architectural design knowledge and its means of creation.

Improving Software Performance in the Compute Unified Device Architecture

Directory of Open Access Journals (Sweden)

Alexandru PIRJAN

2010-01-01

Full Text Available This paper analyzes several aspects regarding the improvement of software performance for applications written in the Compute Unified Device Architecture CUDA. We address an issue of great importance when programming a CUDA application: the Graphics Processing Unit’s (GPU’s memory management through ranspose ernels. We also benchmark and evaluate the performance for progressively optimizing a transposing matrix application in CUDA. One particular interest was to research how well the optimization techniques, applied to software application written in CUDA, scale to the latest generation of general-purpose graphic processors units (GPGPU, like the Fermi architecture implemented in the GTX480 and the previous architecture implemented in GTX280. Lately, there has been a lot of interest in the literature for this type of optimization analysis, but none of the works so far (to our best knowledge tried to validate if the optimizations can apply to a GPU from the latest Fermi architecture and how well does the Fermi architecture scale to these software performance improving techniques.

The Resilient Brain

Science.gov (United States)

Brendtro, Larry K.; Longhurst, James E.

2005-01-01

Brain research opens new frontiers in working with children and youth experiencing conflict in school and community. Blending this knowledge with resilience science offers a roadmap for reclaiming those identified as "at risk." This article applies findings from resilience research and recent brain research to identify strategies for reaching…

From digital photography to the 3D model of the historical architecture

Directory of Open Access Journals (Sweden)

Sandro Parrinello

2013-10-01

Full Text Available The Structure from motion procedures have, in recent years, refined to the point of an interesting data acquisition system, also in response to needs for reliable documentation of the different architectural contexts. Experiments concerning the development of its integrated survey of alternative methodologies have led to interesting results concerning methodological protocols to check the reliability of these processes of architectural significance through photography, and lay the foundations for further developments relating to connections that certain models can to generate knowledge, documentation and enhancement of historic architecture.

Modeling Architectural Patterns Using Architectural Primitives

NARCIS (Netherlands)

Zdun, Uwe; Avgeriou, Paris

2005-01-01

Architectural patterns are a key point in architectural documentation. Regrettably, there is poor support for modeling architectural patterns, because the pattern elements are not directly matched by elements in modeling languages, and, at the same time, patterns support an inherent variability that

Biomedical laboratories: architecture and radioprotection principles

International Nuclear Information System (INIS)

Lapa, Renata

2005-01-01

In institutions where biological research are made and some technologies make use of radioisotope, the radiation protection is an issue of biosecurity for conceptual reasons. In the process of architectural design of Biomedical Laboratories, engineering and architecture reveal interfaces with other areas of knowledge and specific concepts. Exploring the role of architectural design in favor of personal and environmental protection in biological containment laboratories that handle non-sealed sources in research, the work discusses the triad that compose the principle of containment in health environments: best practices, protective equipment, physical facilities, with greater emphasis on the latter component. The shortcomings of the design process are reflected in construction and in use-operation and maintenance of these buildings, with direct consequences on the occupational health and safety, environmental and credibility of work processes. In this context, the importance of adoption of alternatives to improve the design process is confirmed, taking into account the early consideration of several variables involved and providing subsidies to the related laboratories . The research, conducted at FIOCRUZ - a Brazilian health institution, developed from the analysis of the participants in the architectural project, aiming at the formulation of design guidelines which could contribute to the rationalisation of this kind of building construction

Information processing architecture of functionally defined clusters in the macaque cortex.

Science.gov (United States)

Shen, Kelly; Bezgin, Gleb; Hutchison, R Matthew; Gati, Joseph S; Menon, Ravi S; Everling, Stefan; McIntosh, Anthony R

2012-11-28

Computational and empirical neuroimaging studies have suggested that the anatomical connections between brain regions primarily constrain their functional interactions. Given that the large-scale organization of functional networks is determined by the temporal relationships between brain regions, the structural limitations may extend to the global characteristics of functional networks. Here, we explored the extent to which the functional network community structure is determined by the underlying anatomical architecture. We directly compared macaque (Macaca fascicularis) functional connectivity (FC) assessed using spontaneous blood oxygen level-dependent functional magnetic resonance imaging (BOLD-fMRI) to directed anatomical connectivity derived from macaque axonal tract tracing studies. Consistent with previous reports, FC increased with increasing strength of anatomical connection, and FC was also present between regions that had no direct anatomical connection. We observed moderate similarity between the FC of each region and its anatomical connectivity. Notably, anatomical connectivity patterns, as described by structural motifs, were different within and across functional modules: partitioning of the functional network was supported by dense bidirectional anatomical connections within clusters and unidirectional connections between clusters. Together, our data directly demonstrate that the FC patterns observed in resting-state BOLD-fMRI are dictated by the underlying neuroanatomical architecture. Importantly, we show how this architecture contributes to the global organizational principles of both functional specialization and integration.

Radiology Architecture Project Primer.

Science.gov (United States)

Sze, Raymond W; Hogan, Laurie; Teshima, Satoshi; Davidson, Scott

2017-12-19

The rapid pace of technologic advancement and increasing expectations for patient- and family-friendly environments make it common for radiology leaders to be involved in imaging remodel and construction projects. Most radiologists and business directors lack formal training in architectural and construction processes but are expected to play significant and often leading roles in all phases of an imaging construction project. Avoidable mistakes can result in significant increased costs and scheduling delays; knowledgeable participation and communication can result in a final product that enhances staff workflow and morale and improves patient care and experience. This article presents practical guidelines for preparing for and leading a new imaging architectural and construction project. We share principles derived from the radiology and nonradiology literature and our own experience over the past decade completely remodeling a large pediatric radiology department and building a full-service outpatient imaging center. Copyright © 2017 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Innovation in high-level capture and diffusion of tacit architectural knowledge

OpenAIRE

Burry, Mark

2017-01-01

This paper focusses on an ‘Embedded Doctoral Design Program’ (EDDP), comprising a cohort of design PhD candidates who are ‘embedded’ outside the university for a substantial part of their candidature. Specifically, the paper details the framework and outcome for Australian doctoral candidates in architecture placed in contexts outside their experience and immediate expertise, and outside the traditional academic research setting. These contexts can be drawn potentially from professional pract...

Open Architecture Standards and Information Systems (OASIS II ...

International Development Research Centre (IDRC) Digital Library (Canada)

Open Architecture Standards and Information Systems (OASIS II) - Developing Capacity, Sharing Knowledge and Good Principles Across eHealth in Africa. Health care across much of the African continent is hampered by meager resources and a growing burden of disease, with HIV/AIDS, tuberculosis (TB) and malaria ...

The Perpetual Other. Japanese Architecture in the Western Imagination

Directory of Open Access Journals (Sweden)

Beate Löffler

2015-12-01

Full Text Available This paper describes cultural referencing as a complex process of knowledge production and knowledge management in which privileged interpretations shift over time. Using Japanese architecture as a case study and focussing especially on the second half of the nineteenth  century as arguably the crucial period in this regard, it shows that knowledge gaps are crucial to the re-evaluation and re-interpretation of cultural practices, thus enabling a permanent adjustment of cultural narratives and the perpetual negotiation of identity in a contingent modern world.

Avaliação do conhecimento de intensivistas sobre morte encefálica Evaluation of intensivists' knowledge on brain death

Directory of Open Access Journals (Sweden)

Alaor Ernst Schein

2008-06-01

Full Text Available JUSTIFICATIVA E OBJETIVOS: A falha ou atraso no diagnóstico de morte encefálica resulta na ocupação desnecessária de um leito hospitalar, em perdas emocionais e financeiras e na indisponibilidade de órgãos para transplante. O médico intensivista tem fundamental papel nesse diagnóstico. O objetivo deste estudo foi avaliar o conhecimento sobre morte encefálica entre os intensivistas. MÉTODO: Estudo transversal em 15 unidades de terapia intensiva (UTI em oito hospitais da cidade de Porto Alegre, Brasil. RESULTADOS: Duzentos e quarenta e seis intensivistas foram entrevistados em uma amostra consecutiva entre abril e dezembro de 2005. Encontrou-se prevalência de desconhecimento do conceito de morte encefálica de 17%. Vinte por cento dos entrevistados desconheciam a necessidade legal de exame complementar para o seu diagnóstico. Quarenta e sete por cento se consideraram no nível máximo de segurança para explicar o conceito para a família de um paciente. Vinte e nove por cento desconheciam a hora do óbito legal para os pacientes em morte encefálica. Os intensivistas pediátricos tiveram menor conhecimento do conceito em relação aos intensivistas de adultos (p BACKGROUND AND OBJECTIVES: Failure or delay to diagnose brain death leads to needless occupation of a hospital bed, emotional and financial losses, and unavailability of organs for transplants. The intensive care physician plays an essential role in this diagnosis. This study intended to evaluate intensivists' knowledge concerning brain death. METHODS: Cross-sectional study in 15 intensive care units (ICU in eight hospitals in the city of Porto Alegre, Brazil. RESULTS: Two hundred forty-six intensivists were interviewed in a consecutive sample between April and December 2005. The prevalence of lack of knowledge regarding the concept was of 17%. Twenty per cent of the interviewees ignored the legal need for complementary confirmatory tests for their diagnosis. Forty-seven per

Development of the Adolescent Brain: Implications for Executive Function and Social Cognition

Science.gov (United States)

Blakemore, Sarah-Jayne; Choudhury, Suparna

2006-01-01

Adolescence is a time of considerable development at the level of behaviour, cognition and the brain. This article reviews histological and brain imaging studies that have demonstrated specific changes in neural architecture during puberty and adolescence, outlining trajectories of grey and white matter development. The implications of brain…

Control architecture of power systems: Modeling of purpose and function

DEFF Research Database (Denmark)

Heussen, Kai; Saleem, Arshad; Lind, Morten

2009-01-01

Many new technologies with novel control capabilities have been developed in the context of “smart grid” research. However, often it is not clear how these capabilities should best be integrated in the overall system operation. New operation paradigms change the traditional control architecture...... of power systems and it is necessary to identify requirements and functions. How does new control architecture fit with the old architecture? How can power system functions be specified independent of technology? What is the purpose of control in power systems? In this paper, a method suitable...... for semantically consistent modeling of control architecture is presented. The method, called Multilevel Flow Modeling (MFM), is applied to the case of system balancing. It was found that MFM is capable of capturing implicit control knowledge, which is otherwise difficult to formalize. The method has possible...

Fetal brain extracellular matrix boosts neuronal network formation in 3D bioengineered model of cortical brain tissue.

Science.gov (United States)

Sood, Disha; Chwalek, Karolina; Stuntz, Emily; Pouli, Dimitra; Du, Chuang; Tang-Schomer, Min; Georgakoudi, Irene; Black, Lauren D; Kaplan, David L

2016-01-01

The extracellular matrix (ECM) constituting up to 20% of the organ volume is a significant component of the brain due to its instructive role in the compartmentalization of functional microdomains in every brain structure. The composition, quantity and structure of ECM changes dramatically during the development of an organism greatly contributing to the remarkably sophisticated architecture and function of the brain. Since fetal brain is highly plastic, we hypothesize that the fetal brain ECM may contain cues promoting neural growth and differentiation, highly desired in regenerative medicine. Thus, we studied the effect of brain-derived fetal and adult ECM complemented with matricellular proteins on cortical neurons using in vitro 3D bioengineered model of cortical brain tissue. The tested parameters included neuronal network density, cell viability, calcium signaling and electrophysiology. Both, adult and fetal brain ECM as well as matricellular proteins significantly improved neural network formation as compared to single component, collagen I matrix. Additionally, the brain ECM improved cell viability and lowered glutamate release. The fetal brain ECM induced superior neural network formation, calcium signaling and spontaneous spiking activity over adult brain ECM. This study highlights the difference in the neuroinductive properties of fetal and adult brain ECM and suggests that delineating the basis for this divergence may have implications for regenerative medicine.

BrainNet Viewer: a network visualization tool for human brain connectomics.

Science.gov (United States)

Xia, Mingrui; Wang, Jinhui; He, Yong

2013-01-01

The human brain is a complex system whose topological organization can be represented using connectomics. Recent studies have shown that human connectomes can be constructed using various neuroimaging technologies and further characterized using sophisticated analytic strategies, such as graph theory. These methods reveal the intriguing topological architectures of human brain networks in healthy populations and explore the changes throughout normal development and aging and under various pathological conditions. However, given the huge complexity of this methodology, toolboxes for graph-based network visualization are still lacking. Here, using MATLAB with a graphical user interface (GUI), we developed a graph-theoretical network visualization toolbox, called BrainNet Viewer, to illustrate human connectomes as ball-and-stick models. Within this toolbox, several combinations of defined files with connectome information can be loaded to display different combinations of brain surface, nodes and edges. In addition, display properties, such as the color and size of network elements or the layout of the figure, can be adjusted within a comprehensive but easy-to-use settings panel. Moreover, BrainNet Viewer draws the brain surface, nodes and edges in sequence and displays brain networks in multiple views, as required by the user. The figure can be manipulated with certain interaction functions to display more detailed information. Furthermore, the figures can be exported as commonly used image file formats or demonstration video for further use. BrainNet Viewer helps researchers to visualize brain networks in an easy, flexible and quick manner, and this software is freely available on the NITRC website (www.nitrc.org/projects/bnv/).

BrainNet Viewer: a network visualization tool for human brain connectomics.

Directory of Open Access Journals (Sweden)

Mingrui Xia

Full Text Available The human brain is a complex system whose topological organization can be represented using connectomics. Recent studies have shown that human connectomes can be constructed using various neuroimaging technologies and further characterized using sophisticated analytic strategies, such as graph theory. These methods reveal the intriguing topological architectures of human brain networks in healthy populations and explore the changes throughout normal development and aging and under various pathological conditions. However, given the huge complexity of this methodology, toolboxes for graph-based network visualization are still lacking. Here, using MATLAB with a graphical user interface (GUI, we developed a graph-theoretical network visualization toolbox, called BrainNet Viewer, to illustrate human connectomes as ball-and-stick models. Within this toolbox, several combinations of defined files with connectome information can be loaded to display different combinations of brain surface, nodes and edges. In addition, display properties, such as the color and size of network elements or the layout of the figure, can be adjusted within a comprehensive but easy-to-use settings panel. Moreover, BrainNet Viewer draws the brain surface, nodes and edges in sequence and displays brain networks in multiple views, as required by the user. The figure can be manipulated with certain interaction functions to display more detailed information. Furthermore, the figures can be exported as commonly used image file formats or demonstration video for further use. BrainNet Viewer helps researchers to visualize brain networks in an easy, flexible and quick manner, and this software is freely available on the NITRC website (www.nitrc.org/projects/bnv/.

CONTINUOUS TRAINING OF ARCHITECTS AND A PRACTICAL COURSE IN ARCHITECTURAL COMPOSITION

Directory of Open Access Journals (Sweden)

Gogoleva Natal'ya Arkad'evna

2012-10-01

Full Text Available The problem of training of architects in architectural composition is relevant at each stages of the training process. Continuous training in architectural composition is to assure better mastering of fundamentals of composition. Specialized training courses is to be incorporated into each stage of the training process, namely, into each specialized discipline that shapes up the compositional thinking in the field of architecture and town planning patterns. The fundamental course is entitled "Three-dimensional spatial composition"; it is based on the theory of architecture and urban development, as well as practical classes in architectural analysis and modeling. The author proposes new methods of teaching three-dimensional composition through a cycle of exercises and term papers. The systemic approach contemplates a good knowledge of the theory to serve as the basis for workshops and practical classes, as well as a new idea of continuous training.

Mapping Cortical Laminar Structure in the 3D BigBrain.

Science.gov (United States)

Wagstyl, Konrad; Lepage, Claude; Bludau, Sebastian; Zilles, Karl; Fletcher, Paul C; Amunts, Katrin; Evans, Alan C

2018-07-01

Histological sections offer high spatial resolution to examine laminar architecture of the human cerebral cortex; however, they are restricted by being 2D, hence only regions with sufficiently optimal cutting planes can be analyzed. Conversely, noninvasive neuroimaging approaches are whole brain but have relatively low resolution. Consequently, correct 3D cross-cortical patterns of laminar architecture have never been mapped in histological sections. We developed an automated technique to identify and analyze laminar structure within the high-resolution 3D histological BigBrain. We extracted white matter and pial surfaces, from which we derived histologically verified surfaces at the layer I/II boundary and within layer IV. Layer IV depth was strongly predicted by cortical curvature but varied between areas. This fully automated 3D laminar analysis is an important requirement for bridging high-resolution 2D cytoarchitecture and in vivo 3D neuroimaging. It lays the foundation for in-depth, whole-brain analyses of cortical layering.

Effects of cannabis on the adolescent brain.

Science.gov (United States)

Jacobus, Joanna; Tapert, Susan F

2014-01-01

This article reviews neuroimaging, neurocognitive, and preclinical findings on the effects of cannabis on the adolescent brain. Marijuana is the second most widely used intoxicant in adolescence, and teens who engage in heavy marijuana use often show disadvantages in neurocognitive performance, macrostructural and microstructural brain development, and alterations in brain functioning. It remains unclear whether such disadvantages reflect pre-existing differences that lead to increased substances use and further changes in brain architecture and behavioral outcomes. Future work should focus on prospective investigations to help disentangle dose-dependent effects from pre-existing effects, and to better understand the interactive relationships with other commonly abused substances (e.g., alcohol) to better understand the role of regular cannabis use on neurodevelopmental trajectories.

Effects of Cannabis on the Adolescent Brain

Science.gov (United States)

Jacobus, Joanna; Tapert, Susan F.

2014-01-01

This article reviews neuroimaging, neurocognitive, and preclinical findings on the effects of cannabis on the adolescent brain. Marijuana is the second most widely used intoxicant in adolescence, and teens who engage in heavy marijuana use often show disadvantages in neurocognitive performance, macrostructural and microstructural brain development, and alterations in brain functioning. It remains unclear whether such disadvantages reflect pre-existing differences that lead to increased substances use and further changes in brain architecture and behavioral outcomes. Future work should focus on prospective investigations to help disentangle dose-dependent effects from pre-existing effects, and to better understand the interactive relationships with other commonly abused substances (e.g., alcohol) to better understand the role of regular cannabis use on neurodevelopmental trajectories. PMID:23829363

RETHINKING HOUSING EDUCATION IN ARCHITECTURE SCHOOLS

Directory of Open Access Journals (Sweden)

Avi Friedman

2010-07-01

Full Text Available Architects are involved in only a small percentage of all built projects and are becoming marginalized in the huge home-building industry where other professions are moving in to profit from the need for affordable housing. The vast majority of homebuyers today view housing as a commodity and are unwilling to spend more on an architect-designed house. Architects must expand the market for their services to include a far greater percentage of new buildings. It is my contention that the new place for architects is in the design of speculative housing as expert consultant to the developer. The practice of architecture must change emphasis to consider more social and economic concerns. The attitudes and skills currently being taught in architecture schools must change to reflect the new needs of the profession. Architects must be taught behavioral psychology, demographics, and building economics to enable them to apply their knowledge to the market, thereby rendering the architect’s services indispensable to developers and the housing industry. Architectural education must play a key role in redefining the scope of the profession.

Algorithms and architectures of artificial intelligence

CERN Document Server

Tyugu, E

2007-01-01

This book gives an overview of methods developed in artificial intelligence for search, learning, problem solving and decision-making. It gives an overview of algorithms and architectures of artificial intelligence that have reached the degree of maturity when a method can be presented as an algorithm, or when a well-defined architecture is known, e.g. in neural nets and intelligent agents. It can be used as a handbook for a wide audience of application developers who are interested in using artificial intelligence methods in their software products. Parts of the text are rather independent, so that one can look into the index and go directly to a description of a method presented in the form of an abstract algorithm or an architectural solution. The book can be used also as a textbook for a course in applied artificial intelligence. Exercises on the subject are added at the end of each chapter. Neither programming skills nor specific knowledge in computer science are expected from the reader. However, some p...

Platform Architecture for Decentralized Positioning Systems

Directory of Open Access Journals (Sweden)

Zakaria Kasmi

2017-04-01

Full Text Available A platform architecture for positioning systems is essential for the realization of a flexible localization system, which interacts with other systems and supports various positioning technologies and algorithms. The decentralized processing of a position enables pushing the application-level knowledge into a mobile station and avoids the communication with a central unit such as a server or a base station. In addition, the calculation of the position on low-cost and resource-constrained devices presents a challenge due to the limited computing, storage capacity, as well as power supply. Therefore, we propose a platform architecture that enables the design of a system with the reusability of the components, extensibility (e.g., with other positioning technologies and interoperability. Furthermore, the position is computed on a low-cost device such as a microcontroller, which simultaneously performs additional tasks such as data collecting or preprocessing based on an operating system. The platform architecture is designed, implemented and evaluated on the basis of two positioning systems: a field strength system and a time of arrival-based positioning system.

Film Aesthetics and the Embodied Brain

DEFF Research Database (Denmark)

Grodal, Torben Kragh

2009-01-01

The article discusses - based on neuroscience and cognitive science - how the aesthetic experience of films depends on the brain's architecture and the mental flow called the PECMA flow. It describes how the flow from (visual and acoustic) perception of the film, via emotional and cognitive...... processes in the brain to simulated motor actions provides a series of options for aesthetic effects by the film's control of focus; focus on different steps in the flow will evoke different effects. The article further describe how shift of focus control experience of reality status, that is, whether...

Insulin and the Brain

Directory of Open Access Journals (Sweden)

Grosu Cristina

2017-12-01

Full Text Available The brain represents an important site for the action of insulin. Besides the traditionally known importance in glucoregulation, insulin has significant neurotrophic properties and influences the brain activity: insulin influences eating behavior, regulates the storage of energy and several aspects concerning memory and knowledge. Insulin resistance and hyperinsulinism could be associated with brain aging, vascular and metabolic pathologies. Elucidating the pathways and metabolism of brain insulin could have a major impact on future targeted therapies.

Complex modular structure of large-scale brain networks

Science.gov (United States)

Valencia, M.; Pastor, M. A.; Fernández-Seara, M. A.; Artieda, J.; Martinerie, J.; Chavez, M.

2009-06-01

Modular structure is ubiquitous among real-world networks from related proteins to social groups. Here we analyze the modular organization of brain networks at a large scale (voxel level) extracted from functional magnetic resonance imaging signals. By using a random-walk-based method, we unveil the modularity of brain webs and show modules with a spatial distribution that matches anatomical structures with functional significance. The functional role of each node in the network is studied by analyzing its patterns of inter- and intramodular connections. Results suggest that the modular architecture constitutes the structural basis for the coexistence of functional integration of distant and specialized brain areas during normal brain activities at rest.

Neurogenetics: advancing the "next-generation" of brain research.

Science.gov (United States)

Zoghbi, Huda Y; Warren, Stephen T

2010-10-21

There can be little doubt that genetics has transformed our understanding of mechanisms mediating brain disorders. The last two decades have brought tremendous progress in terms of accurate molecular diagnoses and knowledge of the genes and pathways that are involved in a large number of neurological and psychiatric disorders. Likewise, new methods and analytical approaches, including genome array studies and "next-generation" sequencing technologies, are bringing us deeper insights into the subtle complexities of the genetic architecture that determines our risks for these disorders. As we now seek to translate these discoveries back to clinical applications, a major challenge for the field will be in bridging the gap between genes and biology. In this Overview of Neuron's special review issue on neurogenetics, we reflect on progress made over the last two decades and highlight the challenges as well as the exciting opportunities for the future. Copyright © 2010 Elsevier Inc. All rights reserved.

Neurocomputational models of brain disorders

NARCIS (Netherlands)

Cutsuridis, Vassilis; Heida, Tjitske; Duch, Wlodek; Doya, Kenji

2011-01-01

Recent decades have witnessed dramatic accumulation of knowledge about the genetic, molecular, pharmacological, neurophysiological, anatomical, imaging and psychological characteristics of brain disorders. Despite these advances, however, experimental brain science has offered very little insight

Intrinsic functional brain architecture derived from graph theoretical analysis in the human fetus.

Directory of Open Access Journals (Sweden)

Moriah E Thomason

Full Text Available The human brain undergoes dramatic maturational changes during late stages of fetal and early postnatal life. The importance of this period to the establishment of healthy neural connectivity is apparent in the high incidence of neural injury in preterm infants, in whom untimely exposure to ex-uterine factors interrupts neural connectivity. Though the relevance of this period to human neuroscience is apparent, little is known about functional neural networks in human fetal life. Here, we apply graph theoretical analysis to examine human fetal brain connectivity. Utilizing resting state functional magnetic resonance imaging (fMRI data from 33 healthy human fetuses, 19 to 39 weeks gestational age (GA, our analyses reveal that the human fetal brain has modular organization and modules overlap functional systems observed postnatally. Age-related differences between younger (GA <31 weeks and older (GA≥31 weeks fetuses demonstrate that brain modularity decreases, and connectivity of the posterior cingulate to other brain networks becomes more negative, with advancing GA. By mimicking functional principles observed postnatally, these results support early emerging capacity for information processing in the human fetal brain. Current technical limitations, as well as the potential for fetal fMRI to one day produce major discoveries about fetal origins or antecedents of neural injury or disease are discussed.

Brain Science and Teaching: A Forty-Year Personal History

Science.gov (United States)

Kirby, Linda Faye

2016-01-01

This paper is the sharing of a record, the personal history of an educator pursuing an interest in knowledge of the brain. Over the years, this fascination sparked the idea to create a course for teachers based on brain science, with a twist. Certain course assignments would require teachers to interpret knowledge of the brain in the context of…

Evolving knowledge of sex differences in brain structure, function, and chemistry.

Science.gov (United States)

Cosgrove, Kelly P; Mazure, Carolyn M; Staley, Julie K

2007-10-15

Clinical and epidemiologic evidence demonstrates sex differences in the prevalence and course of various psychiatric disorders. Understanding sex-specific brain differences in healthy individuals is a critical first step toward understanding sex-specific expression of psychiatric disorders. Here, we evaluate evidence on sex differences in brain structure, chemistry, and function using imaging methodologies, including functional magnetic resonance imaging (fMRI), positron emission tomography (PET), single photon emission computed tomography (SPECT), and structural magnetic resonance imaging (MRI) in mentally healthy individuals. MEDLINE searches of English-language literature (1980-November 2006) using the terms sex, gender, PET, SPECT, MRI, fMRI, morphometry, neurochemistry, and neurotransmission were performed to extract relevant sources. The literature suggests that while there are many similarities in brain structure, function, and neurotransmission in healthy men and women, there are important differences that distinguish the male from the female brain. Overall, brain volume is greater in men than women; yet, when controlling for total volume, women have a higher percentage of gray matter and men a higher percentage of white matter. Regional volume differences are less consistent. Global cerebral blood flow is higher in women than in men. Sex-specific differences in dopaminergic, serotonergic, and gamma-aminobutyric acid (GABA)ergic markers indicate that male and female brains are neurochemically distinct. Insight into the etiology of sex differences in the normal living human brain provides an important foundation to delineate the pathophysiological mechanisms underlying sex differences in neuropsychiatric disorders and to guide the development of sex-specific treatments for these devastating brain disorders.

Expanding color design methods for architecture and allied disciplines

Science.gov (United States)

Linton, Harold E.

2002-06-01

The color design processes of visual artists, architects, designers, and theoreticians included in this presentation reflect the practical role of color in architecture. What the color design professional brings to the architectural design team is an expertise and rich sensibility made up of a broad awareness and a finely tuned visual perception. This includes a knowledge of design and its history, expertise with industrial color materials and their methods of application, an awareness of design context and cultural identity, a background in physiology and psychology as it relates to human welfare, and an ability to problem-solve and respond creatively to design concepts with innovative ideas. The broadening of the definition of the colorists's role in architectural design provides architects, artists and designers with significant opportunities for continued professional and educational development.

Efforts regarding acoustical education for architectural students at the Universidad Peruana de Ciencias Aplicadas (Peruvian University of Applied Sciences), UPC

Science.gov (United States)

Moy, Jorge

2002-11-01

The lack of knowledge in acoustics among the vast majority of Peruvian architects results in acoustical problems in buildings from a lack of such considerations in the design stage. This paucity of knowledge on the part of the architects may be attributed to the lack of emphasis on the role of acoustics in most architectural curricula in Peruvian universities. A purpose in this paper is to present a brief report on last year's efforts to implement courses in Architectural Acoustics and Noise Control for architecture students at UPC.

Learning Outcomes in Affective Domain within Contemporary Architectural Curricula

Science.gov (United States)

Savic, Marko; Kashef, Mohamad

2013-01-01

Contemporary architectural education has shifted from the traditional focus on providing students with specific knowledge and skill sets or "inputs" to outcome based, student-centred educational approach. Within the outcome based model, students' performance is assessed against measureable objectives that relate acquired knowledge…

SAMS--a systems architecture for developing intelligent health information systems.

Science.gov (United States)

Yılmaz, Özgün; Erdur, Rıza Cenk; Türksever, Mustafa

2013-12-01

In this paper, SAMS, a novel health information system architecture for developing intelligent health information systems is proposed and also some strategies for developing such systems are discussed. The systems fulfilling this architecture will be able to store electronic health records of the patients using OWL ontologies, share patient records among different hospitals and provide physicians expertise to assist them in making decisions. The system is intelligent because it is rule-based, makes use of rule-based reasoning and has the ability to learn and evolve itself. The learning capability is provided by extracting rules from previously given decisions by the physicians and then adding the extracted rules to the system. The proposed system is novel and original in all of these aspects. As a case study, a system is implemented conforming to SAMS architecture for use by dentists in the dental domain. The use of the developed system is described with a scenario. For evaluation, the developed dental information system will be used and tried by a group of dentists. The development of this system proves the applicability of SAMS architecture. By getting decision support from a system derived from this architecture, the cognitive gap between experienced and inexperienced physicians can be compensated. Thus, patient satisfaction can be achieved, inexperienced physicians are supported in decision making and the personnel can improve their knowledge. A physician can diagnose a case, which he/she has never diagnosed before, using this system. With the help of this system, it will be possible to store general domain knowledge in this system and the personnel's need to medical guideline documents will be reduced.

Enterprise Architecture - New business value perspectives

OpenAIRE

de Vries, M.; van Rensburg, A.C. J

2008-01-01

ENGLISH ABSTRACT: Organisations today are characterised by conglomerate organisation structures that evolve through mergers and acquisitions. Corporate offices need to add superior knowledge and skills to ensure that the collection of diverse businesses is operating as more than independent units. A new management approach is required to create synergies between the diverse businesses, their processes and system landscapes. Enterprise Architecture (EA) creates value on a corporate le...

Architectural prototyping

DEFF Research Database (Denmark)

Bardram, Jakob Eyvind; Christensen, Henrik Bærbak; Hansen, Klaus Marius

2004-01-01

A major part of software architecture design is learning how specific architectural designs balance the concerns of stakeholders. We explore the notion of "architectural prototypes", correspondingly architectural prototyping, as a means of using executable prototypes to investigate stakeholders...

Specification, Design, and Analysis of Advanced HUMS Architectures

Science.gov (United States)

Mukkamala, Ravi

2004-01-01

During the two-year project period, we have worked on several aspects of domain-specific architectures for HUMS. In particular, we looked at using scenario-based approach for the design and designed a language for describing such architectures. The language is now being used in all aspects of our HUMS design. In particular, we have made contributions in the following areas. 1) We have employed scenarios in the development of HUMS in three main areas. They are: (a) To improve reusability by using scenarios as a library indexing tool and as a domain analysis tool; (b) To improve maintainability by recording design rationales from two perspectives - problem domain and solution domain; (c) To evaluate the software architecture. 2) We have defined a new architectural language called HADL or HUMS Architectural Definition Language. It is a customized version of xArch/xADL. It is based on XML and, hence, is easily portable from domain to domain, application to application, and machine to machine. Specifications written in HADL can be easily read and parsed using the currently available XML parsers. Thus, there is no need to develop a plethora of software to support HADL. 3) We have developed an automated design process that involves two main techniques: (a) Selection of solutions from a large space of designs; (b) Synthesis of designs. However, the automation process is not an absolute Artificial Intelligence (AI) approach though it uses a knowledge-based system that epitomizes a specific HUMS domain. The process uses a database of solutions as an aid to solve the problems rather than creating a new design in the literal sense. Since searching is adopted as the main technique, the challenges involved are: (a) To minimize the effort in searching the database where a very large number of possibilities exist; (b) To develop representations that could conveniently allow us to depict design knowledge evolved over many years; (c) To capture the required information that aid the

Brain tumor segmentation with Deep Neural Networks.

Science.gov (United States)

Havaei, Mohammad; Davy, Axel; Warde-Farley, David; Biard, Antoine; Courville, Aaron; Bengio, Yoshua; Pal, Chris; Jodoin, Pierre-Marc; Larochelle, Hugo

2017-01-01

In this paper, we present a fully automatic brain tumor segmentation method based on Deep Neural Networks (DNNs). The proposed networks are tailored to glioblastomas (both low and high grade) pictured in MR images. By their very nature, these tumors can appear anywhere in the brain and have almost any kind of shape, size, and contrast. These reasons motivate our exploration of a machine learning solution that exploits a flexible, high capacity DNN while being extremely efficient. Here, we give a description of different model choices that we've found to be necessary for obtaining competitive performance. We explore in particular different architectures based on Convolutional Neural Networks (CNN), i.e. DNNs specifically adapted to image data. We present a novel CNN architecture which differs from those traditionally used in computer vision. Our CNN exploits both local features as well as more global contextual features simultaneously. Also, different from most traditional uses of CNNs, our networks use a final layer that is a convolutional implementation of a fully connected layer which allows a 40 fold speed up. We also describe a 2-phase training procedure that allows us to tackle difficulties related to the imbalance of tumor labels. Finally, we explore a cascade architecture in which the output of a basic CNN is treated as an additional source of information for a subsequent CNN. Results reported on the 2013 BRATS test data-set reveal that our architecture improves over the currently published state-of-the-art while being over 30 times faster. Copyright © 2016 Elsevier B.V. All rights reserved.

Without Pictorial Detour: Benjamin, Mies and the Architectural Image

Directory of Open Access Journals (Sweden)

Lutz Robbers

2016-05-01

Full Text Available It can be argued that architectural knowledge was of crucial importance to Walter Benjamin for elaborating his version of an anthropological historical materialism. Between 1929 and 1931 he encounters two publications on architectural history which had a decisive impact on his ensuing works: Sigfried Giedion’s Bauen in Frankreich, Bauen in Eisen, Bauen in Eisenbeton (1928 and Carl Linfert’s Die Grundlagen der Architekturzeichnung (1931. It can be argued that both works played a role in affirming, if not developing his historical method of awakening the dreaming collective into a ‘now of recognisability,’ a method which one can argue is based on a specific image-based epistemology. Especially the architectural image, whether in the form of a printed drawing, photographic illustration, or an actual built object, appears to have been crucial for placing the history of media technologies (architecture being one of these media in a constellation with the ‘archaic symbol-worlds of mythologies.’ If architecture is, as Benjamin claims in his initial notes for The Arcades Project, ‘the most important testimony to latent “mythology,”’ the architectural image might very well be the agent that causes the moment of awakening, the instance when a constellation between technology and ancient symbol worlds is formed. In the second part of this essay, I will attempt to elaborate such a designation for the specificity of the architectural image by analysing a number of Ludwig Mies van der Rohe’s drawings and collages from the 1920s as architectural images in the Benjaminian sense.

as-PSOCT: Volumetric microscopic imaging of human brain architecture and connectivity.

Science.gov (United States)

Wang, Hui; Magnain, Caroline; Wang, Ruopeng; Dubb, Jay; Varjabedian, Ani; Tirrell, Lee S; Stevens, Allison; Augustinack, Jean C; Konukoglu, Ender; Aganj, Iman; Frosch, Matthew P; Schmahmann, Jeremy D; Fischl, Bruce; Boas, David A

2018-01-15

Polarization sensitive optical coherence tomography (PSOCT) with serial sectioning has enabled the investigation of 3D structures in mouse and human brain tissue samples. By using intrinsic optical properties of back-scattering and birefringence, PSOCT reliably images cytoarchitecture, myeloarchitecture and fiber orientations. In this study, we developed a fully automatic serial sectioning polarization sensitive optical coherence tomography (as-PSOCT) system to enable volumetric reconstruction of human brain samples with unprecedented sample size and resolution. The 3.5 μm in-plane resolution and 50 μm through-plane voxel size allow inspection of cortical layers that are a single-cell in width, as well as small crossing fibers. We show the abilities of as-PSOCT in quantifying layer thicknesses of the cerebellar cortex and creating microscopic tractography of intricate fiber networks in the subcortical nuclei and internal capsule regions, all based on volumetric reconstructions. as-PSOCT provides a viable tool for studying quantitative cytoarchitecture and myeloarchitecture and mapping connectivity with microscopic resolution in the human brain. Copyright © 2017 Elsevier Inc. All rights reserved.

Architectural communication: Intra and extra activity of architecture

Directory of Open Access Journals (Sweden)

Stamatović-Vučković Slavica

2013-01-01

Full Text Available Apart from a brief overview of architectural communication viewed from the standpoint of theory of information and semiotics, this paper contains two forms of dualistically viewed architectural communication. The duality denotation/connotation (”primary” and ”secondary” architectural communication is one of semiotic postulates taken from Umberto Eco who viewed architectural communication as a semiotic phenomenon. In addition, architectural communication can be viewed as an intra and an extra activity of architecture where the overall activity of the edifice performed through its spatial manifestation may be understood as an act of communication. In that respect, the activity may be perceived as the ”behavior of architecture”, which corresponds to Lefebvre’s production of space.

Game engine architecture

CERN Document Server

Gregory, Jason

2014-01-01

""… this book is the best of its kind, and you're lucky to have found it. It covers the huge field of game engine architecture in a succinct, clear way, and expertly balances the breadth and depth of its coverage, offering enough detail that even a beginner can easily understand the concepts it presents. The author, Jason Gregory, is not only a world expert in his field; he's a working programmer with production-quality knowledge and many shipped game projects under his belt. … Jason is also an experienced educator who has taught in the top-ranked university game program in North America. …

Knowledge Management in Role Based Agents

Science.gov (United States)

Kır, Hüseyin; Ekinci, Erdem Eser; Dikenelli, Oguz

In multi-agent system literature, the role concept is getting increasingly researched to provide an abstraction to scope beliefs, norms, goals of agents and to shape relationships of the agents in the organization. In this research, we propose a knowledgebase architecture to increase applicability of roles in MAS domain by drawing inspiration from the self concept in the role theory of sociology. The proposed knowledgebase architecture has granulated structure that is dynamically organized according to the agent's identification in a social environment. Thanks to this dynamic structure, agents are enabled to work on consistent knowledge in spite of inevitable conflicts between roles and the agent. The knowledgebase architecture is also implemented and incorporated into the SEAGENT multi-agent system development framework.

Unraveling the multiscale structural organization and connectivity of the human brain: the role of diffusion MRI

Directory of Open Access Journals (Sweden)

Matteo eBastiani

2015-06-01

Full Text Available The structural architecture and the anatomical connectivity of the human brain show different organizational principles at distinct spatial scales. Histological staining and light microscopy techniques have been widely used in classical neuroanatomical studies to unravel brain organization. Using such techniques is a laborious task performed on 2-dimensional histological sections by skilled anatomists possibly aided by semi-automated algorithms. With the recent advent of modern magnetic resonance imaging (MRI contrast mechanisms, cortical layers and columns can now be reliably identified and their structural properties quantified post mortem. These developments are allowing the investigation of neuroanatomical features of the brain at a spatial resolution that could be interfaced with that of histology. Diffusion MRI and tractography techniques, in particular, have been used to probe the architecture of both white and gray matter in three dimensions. Combined with mathematical network analysis, these techniques are increasingly influential in the investigation of the macro-, meso- and microscopic organization of brain connectivity and anatomy, both in vivo and ex vivo. Diffusion MRI-based techniques in combination with histology approaches can therefore support the endeavor of creating multimodal atlases that take into account the different spatial scales or levels on which the brain is organized. The aim of this review is to illustrate and discuss the structural architecture and the anatomical connectivity of the human brain at different spatial scales and how recently developed diffusion MRI techniques can help investigate these.

Fluid intelligence and brain functional organization in aging yoga and meditation practitioners

Directory of Open Access Journals (Sweden)

Tim eGard

2014-04-01

Full Text Available Numerous studies have documented the normal age-related decline of neural structure, function, and cognitive performance. Preliminary evidence suggests that meditation may reduce decline in specific cognitive domains and in brain structure. Here we extended this research by investigating the relation between age and fluid intelligence and resting state brain functional network architecture using graph theory, in middle-aged yoga and meditation practitioners, and matched controls. Fluid intelligence declined slower in yoga practitioners and meditators combined than in controls. Resting state functional networks of yoga practitioners and meditators combined were more integrated and more resilient to damage than those of controls. Furthermore, mindfulness was positively correlated with fluid intelligence, resilience, and global network efficiency. These findings reveal the possibility to increase resilience and to slow the decline of fluid intelligence and brain functional architecture and suggest that mindfulness plays a mechanistic role in this preservation.

Distributed XQuery-Based Integration and Visualization of Multimodality Brain Mapping Data.

Science.gov (United States)

Detwiler, Landon T; Suciu, Dan; Franklin, Joshua D; Moore, Eider B; Poliakov, Andrew V; Lee, Eunjung S; Corina, David P; Ojemann, George A; Brinkley, James F

2009-01-01

This paper addresses the need for relatively small groups of collaborating investigators to integrate distributed and heterogeneous data about the brain. Although various national efforts facilitate large-scale data sharing, these approaches are generally too "heavyweight" for individual or small groups of investigators, with the result that most data sharing among collaborators continues to be ad hoc. Our approach to this problem is to create a "lightweight" distributed query architecture, in which data sources are accessible via web services that accept arbitrary query languages but return XML results. A Distributed XQuery Processor (DXQP) accepts distributed XQueries in which subqueries are shipped to the remote data sources to be executed, with the resulting XML integrated by DXQP. A web-based application called DXBrain accesses DXQP, allowing a user to create, save and execute distributed XQueries, and to view the results in various formats including a 3-D brain visualization. Example results are presented using distributed brain mapping data sources obtained in studies of language organization in the brain, but any other XML source could be included. The advantage of this approach is that it is very easy to add and query a new source, the tradeoff being that the user needs to understand XQuery and the schemata of the underlying sources. For small numbers of known sources this burden is not onerous for a knowledgeable user, leading to the conclusion that the system helps to fill the gap between ad hoc local methods and large scale but complex national data sharing efforts.

Distributed XQuery-based integration and visualization of multimodality brain mapping data

Directory of Open Access Journals (Sweden)

Landon T Detwiler

2009-01-01

Full Text Available This paper addresses the need for relatively small groups of collaborating investigators to integrate distributed and heterogeneous data about the brain. Although various national efforts facilitate large-scale data sharing, these approaches are generally too “heavyweight” for individual or small groups of investigators, with the result that most data sharing among collaborators continues to be ad hoc. Our approach to this problem is to create a “lightweight” distributed query architecture, in which data sources are accessible via web services that accept arbitrary query languages but return XML results. A Distributed XQuery Processor (DXQP accepts distributed XQueries in which subqueries are shipped to the remote data sources to be executed, with the resulting XML integrated by DXQP. A web-based application called DXBrain accesses DXQP, allowing a user to create, save and execute distributed XQueries, and to view the results in various formats including a 3-D brain visualization. Example results are presented using distributed brain mapping data sources obtained in studies of language organization in the brain, but any other XML source could be included. The advantage of this approach is that it is very easy to add and query a new source, the tradeoff being that the user needs to understand XQuery and the schemata of the underlying sources. For small numbers of known sources this burden is not onerous for a knowledgeable user, leading to the conclusion that the system helps to fill the gap between ad hoc local methods and large scale but complex national data sharing efforts.

Education in Environmental Sustainable Architecture for the Future?  - For a Joint Climate Action

DEFF Research Database (Denmark)

Knudstrup, Mary-Ann; Eriksen, Kaare; Petersen, Mads Dines

2009-01-01

will present a teaching method used for the Architecture specialization at the Architecture & Design education. It is tailored to deal with current societal/technological, environmental and sustainable issues. In terms of both research and teaching, Aalborg University utilizes an interdisciplinary approach......&D) as an engineering education with specialization in Architecture. Since 2005 the master has been offered in English. The curriculum is organized so that lecturers of architecture and design from the new and more aesthetically oriented Department of Architecture & Design would teach the core competencies...... and architecture in a more complex and holistic design process where the integration of both technical and aesthetic aspects is important. One of the major obstacles in today's education at A&D is the lack of tools, which allows the designers to use their knowledge about how to reduce energy consumption...

Architectural freedom and industrialized architecture

DEFF Research Database (Denmark)

Vestergaard, Inge

2012-01-01

to explain that architecture can be thought as a complex and diverse design through customization, telling exactly the revitalized storey about the change to a contemporary sustainable and better performing expression in direct relation to the given context. Through the last couple of years we have...... proportions, to organize the process on site choosing either one room wall components or several rooms wall components – either horizontally or vertically. Combined with the seamless joint the playing with these possibilities the new industrialized architecture can deliver variations in choice of solutions...... for retrofit design. If we add the question of the installations e.g. ventilation to this systematic thinking of building technique we get a diverse and functional architecture, thereby creating a new and clearer story telling about new and smart system based thinking behind architectural expression....

Architectural freedom and industrialized architecture

DEFF Research Database (Denmark)

Vestergaard, Inge

2012-01-01

to explain that architecture can be thought as a complex and diverse design through customization, telling exactly the revitalized storey about the change to a contemporary sustainable and better performing expression in direct relation to the given context. Through the last couple of years we have...... expression in the specific housing area. It is the aim of this article to expand the different design strategies which architects can use – to give the individual project attitudes and designs with architectural quality. Through the customized component production it is possible to choose different...... for retrofit design. If we add the question of the installations e.g. ventilation to this systematic thinking of building technique we get a diverse and functional architecture, thereby creating a new and clearer story telling about new and smart system based thinking behind architectural expression....

Architectural freedom and industrialised architecture

DEFF Research Database (Denmark)

Vestergaard, Inge

2012-01-01

Architectural freedom and industrialized architecture. Inge Vestergaard, Associate Professor, Cand. Arch. Aarhus School of Architecture, Denmark Noerreport 20, 8000 Aarhus C Telephone +45 89 36 0000 E-mai l inge.vestergaard@aarch.dk Based on the repetitive architecture from the "building boom" 1960...... customization, telling exactly the revitalized storey about the change to a contemporary sustainable and better performed expression in direct relation to the given context. Through the last couple of years we have in Denmark been focusing a more sustainable and low energy building technique, which also include...... to the building physic problems a new industrialized period has started based on light weight elements basically made of wooden structures, faced with different suitable materials meant for individual expression for the specific housing area. It is the purpose of this article to widen up the different design...

Diagnosing Autism Spectrum Disorder from Brain Resting-State Functional Connectivity Patterns Using a Deep Neural Network with a Novel Feature Selection Method.

Science.gov (United States)

Guo, Xinyu; Dominick, Kelli C; Minai, Ali A; Li, Hailong; Erickson, Craig A; Lu, Long J

2017-01-01

The whole-brain functional connectivity (FC) pattern obtained from resting-state functional magnetic resonance imaging data are commonly applied to study neuropsychiatric conditions such as autism spectrum disorder (ASD) by using different machine learning models. Recent studies indicate that both hyper- and hypo- aberrant ASD-associated FCs were widely distributed throughout the entire brain rather than only in some specific brain regions. Deep neural networks (DNN) with multiple hidden layers have shown the ability to systematically extract lower-to-higher level information from high dimensional data across a series of neural hidden layers, significantly improving classification accuracy for such data. In this study, a DNN with a novel feature selection method (DNN-FS) is developed for the high dimensional whole-brain resting-state FC pattern classification of ASD patients vs. typical development (TD) controls. The feature selection method is able to help the DNN generate low dimensional high-quality representations of the whole-brain FC patterns by selecting features with high discriminating power from multiple trained sparse auto-encoders. For the comparison, a DNN without the feature selection method (DNN-woFS) is developed, and both of them are tested with different architectures (i.e., with different numbers of hidden layers/nodes). Results show that the best classification accuracy of 86.36% is generated by the DNN-FS approach with 3 hidden layers and 150 hidden nodes (3/150). Remarkably, DNN-FS outperforms DNN-woFS for all architectures studied. The most significant accuracy improvement was 9.09% with the 3/150 architecture. The method also outperforms other feature selection methods, e.g., two sample t -test and elastic net. In addition to improving the classification accuracy, a Fisher's score-based biomarker identification method based on the DNN is also developed, and used to identify 32 FCs related to ASD. These FCs come from or cross different pre

Diagnosing Autism Spectrum Disorder from Brain Resting-State Functional Connectivity Patterns Using a Deep Neural Network with a Novel Feature Selection Method

Directory of Open Access Journals (Sweden)

Xinyu Guo

2017-08-01

Full Text Available The whole-brain functional connectivity (FC pattern obtained from resting-state functional magnetic resonance imaging data are commonly applied to study neuropsychiatric conditions such as autism spectrum disorder (ASD by using different machine learning models. Recent studies indicate that both hyper- and hypo- aberrant ASD-associated FCs were widely distributed throughout the entire brain rather than only in some specific brain regions. Deep neural networks (DNN with multiple hidden layers have shown the ability to systematically extract lower-to-higher level information from high dimensional data across a series of neural hidden layers, significantly improving classification accuracy for such data. In this study, a DNN with a novel feature selection method (DNN-FS is developed for the high dimensional whole-brain resting-state FC pattern classification of ASD patients vs. typical development (TD controls. The feature selection method is able to help the DNN generate low dimensional high-quality representations of the whole-brain FC patterns by selecting features with high discriminating power from multiple trained sparse auto-encoders. For the comparison, a DNN without the feature selection method (DNN-woFS is developed, and both of them are tested with different architectures (i.e., with different numbers of hidden layers/nodes. Results show that the best classification accuracy of 86.36% is generated by the DNN-FS approach with 3 hidden layers and 150 hidden nodes (3/150. Remarkably, DNN-FS outperforms DNN-woFS for all architectures studied. The most significant accuracy improvement was 9.09% with the 3/150 architecture. The method also outperforms other feature selection methods, e.g., two sample t-test and elastic net. In addition to improving the classification accuracy, a Fisher's score-based biomarker identification method based on the DNN is also developed, and used to identify 32 FCs related to ASD. These FCs come from or cross

An Intelligent Propulsion Control Architecture to Enable More Autonomous Vehicle Operation

Science.gov (United States)

Litt, Jonathan S.; Sowers, T. Shane; Simon, Donald L.; Owen, A. Karl; Rinehart, Aidan W.; Chicatelli, Amy K.; Acheson, Michael J.; Hueschen, Richard M.; Spiers, Christopher W.

2018-01-01

This paper describes an intelligent propulsion control architecture that coordinates with the flight control to reduce the amount of pilot intervention required to operate the vehicle. Objectives of the architecture include the ability to: automatically recognize the aircraft operating state and flight phase; configure engine control to optimize performance with knowledge of engine condition and capability; enhance aircraft performance by coordinating propulsion control with flight control; and recognize off-nominal propulsion situations and to respond to them autonomously. The hierarchical intelligent propulsion system control can be decomposed into a propulsion system level and an individual engine level. The architecture is designed to be flexible to accommodate evolving requirements, adapt to technology improvements, and maintain safety.

Methodology for the specification of communication activities within the framework of a multi-layered architecture: Toward the definition of a knowledge base

Science.gov (United States)

Amyay, Omar

A method defined in terms of synthesis and verification steps is presented. The specification of the services and protocols of communication within a multilayered architecture of the Open Systems Interconnection (OSI) type is an essential issue for the design of computer networks. The aim is to obtain an operational specification of the protocol service couple of a given layer. Planning synthesis and verification steps constitute a specification trajectory. The latter is based on the progressive integration of the 'initial data' constraints and verification of the specification originating from each synthesis step, through validity constraints that characterize an admissible solution. Two types of trajectories are proposed according to the style of the initial specification of the service protocol couple: operational type and service supplier viewpoint; knowledge property oriented type and service viewpoint. Synthesis and verification activities were developed and formalized in terms of labeled transition systems, temporal logic and epistemic logic. The originality of the second specification trajectory and the use of the epistemic logic are shown. An 'artificial intelligence' approach enables a conceptual model to be defined for a knowledge base system for implementing the method proposed. It is structured in three levels of representation of the knowledge relating to the domain, the reasoning characterizing synthesis and verification activities and the planning of the steps of a specification trajectory.

Brain-mind dyad, human experience, the consciousness tetrad and lattice of mental operations: and further, the need to integrate knowledge from diverse disciplines.

Science.gov (United States)

Singh, Ajai R; Singh, Shakuntala A

2011-01-01

Brain, Mind and Consciousness are the research concerns of psychiatrists, psychologists, neurologists, cognitive neuroscientists and philosophers. All of them are working in different and important ways to understand the workings of the brain, the mysteries of the mind and to grasp that elusive concept called consciousness. Although they are all justified in forwarding their respective researches, it is also necessary to integrate these diverse appearing understandings and try and get a comprehensive perspective that is, hopefully, more than the sum of their parts. There is also the need to understand what each one is doing, and by the other, to understand each other's basic and fundamental ideological and foundational underpinnings. This must be followed by a comprehensive and critical dialogue between the respective disciplines. Moreover, the concept of mind and consciousness in Indian thought needs careful delineation and critical/evidential enquiry to make it internationally relevant. The brain-mind dyad must be understood, with brain as the structural correlate of the mind, and mind as the functional correlate of the brain. To understand human experience, we need a triad of external environment, internal environment and a consciousness that makes sense of both. We need to evolve a consensus on the definition of consciousness, for which a working definition in the form of a Consciousness Tetrad of Default, Aware, Operational and Evolved Consciousness is presented. It is equally necessary to understand the connection between physical changes in the brain and mental operations, and thereby untangle and comprehend the lattice of mental operations. Interdisciplinary work and knowledge sharing, in an atmosphere of healthy give and take of ideas, and with a view to understand the significance of each other's work, and also to critically evaluate the present corpus of knowledge from these diverse appearing fields, and then carry forward from there in a spirit of

Enterprise architecture evaluation using architecture framework and UML stereotypes

Directory of Open Access Journals (Sweden)

Narges Shahi

2014-08-01

Full Text Available There is an increasing need for enterprise architecture in numerous organizations with complicated systems with various processes. Support for information technology, organizational units whose elements maintain complex relationships increases. Enterprise architecture is so effective that its non-use in organizations is regarded as their institutional inability in efficient information technology management. The enterprise architecture process generally consists of three phases including strategic programing of information technology, enterprise architecture programing and enterprise architecture implementation. Each phase must be implemented sequentially and one single flaw in each phase may result in a flaw in the whole architecture and, consequently, in extra costs and time. If a model is mapped for the issue and then it is evaluated before enterprise architecture implementation in the second phase, the possible flaws in implementation process are prevented. In this study, the processes of enterprise architecture are illustrated through UML diagrams, and the architecture is evaluated in programming phase through transforming the UML diagrams to Petri nets. The results indicate that the high costs of the implementation phase will be reduced.

Beyond functional architecture in cognitive neuropsychology: a reply to Coltheart (2010).

Science.gov (United States)

Plaut, David C; Patterson, Karalyn

2010-01-01

We (Patterson & Plaut, 2009) argued that cognitive neuropsychology has had a limited impact on cognitive science due to a nearly exclusive reliance on (a) single-case studies, (b) dissociations in cognitive performance, and (c) shallow, box-and-arrow theorizing, and we advocated adopting a case-series methodology, considering associations as well as dissociations, and employing explicit computational modeling in studying "how the brain does its cognitive business." In reply, Coltheart (2010) claims that our concern is misplaced because cognitive neuropsychology is concerned only with studying the mind, in terms of its "functional architecture," without regard to how this is implemented in the brain. In this response, we do not dispute his characterization of cognitive neuropsychology as it has typically been practiced over the last 40 years, but we suggest that our understanding of brain structure and function has advanced to the point where studying the mind without regard to the brain is unwise and perpetuates the field's isolation. Copyright © 2009 Cognitive Science Society, Inc.

Evolution of the human brain : when bigger is better

NARCIS (Netherlands)

Hofman, Michel A

2014-01-01

Comparative studies of the brain in mammals suggest that there are general architectural principles governing its growth and evolutionary development. We are beginning to understand the geometric, biophysical and energy constraints that have governed the evolution and functional organization of the

Software architecture 2

CERN Document Server

Oussalah, Mourad Chabanne

2014-01-01

Over the past 20 years, software architectures have significantly contributed to the development of complex and distributed systems. Nowadays, it is recognized that one of the critical problems in the design and development of any complex software system is its architecture, i.e. the organization of its architectural elements. Software Architecture presents the software architecture paradigms based on objects, components, services and models, as well as the various architectural techniques and methods, the analysis of architectural qualities, models of representation of architectural templa

Lightweight enterprise architectures

CERN Document Server

Theuerkorn, Fenix

2004-01-01

STATE OF ARCHITECTUREArchitectural ChaosRelation of Technology and Architecture The Many Faces of Architecture The Scope of Enterprise Architecture The Need for Enterprise ArchitectureThe History of Architecture The Current Environment Standardization Barriers The Need for Lightweight Architecture in the EnterpriseThe Cost of TechnologyThe Benefits of Enterprise Architecture The Domains of Architecture The Gap between Business and ITWhere Does LEA Fit? LEA's FrameworkFrameworks, Methodologies, and Approaches The Framework of LEATypes of Methodologies Types of ApproachesActual System Environmen

Software architecture 1

CERN Document Server

Oussalah , Mourad Chabane

2014-01-01

Over the past 20 years, software architectures have significantly contributed to the development of complex and distributed systems. Nowadays, it is recognized that one of the critical problems in the design and development of any complex software system is its architecture, i.e. the organization of its architectural elements. Software Architecture presents the software architecture paradigms based on objects, components, services and models, as well as the various architectural techniques and methods, the analysis of architectural qualities, models of representation of architectural template

Indigenous architecture as a context-oriented architecture, a look at ...

African Journals Online (AJOL)

What has become problematic as the achievement of international style and globalization of architecture during the time has been the purely technological look at architecture, and the architecture without belonging to a place. In recent decades, the topic of sustainable architecture and reconsidering indigenous architecture ...

Timeliness of Creative Subjects in Architecture Education

Science.gov (United States)

Vargot, T.

2017-11-01

The following article is about the problem of insufficient number of drawing and painting lessons delivered in the process of architectural education. There is a comparison between the education of successful architects of the past and modern times. The author stands for the importance of creative subjects being the essential part of development and education of future architects. Skills achieved during the study of creative subjects will be used not only as a mean of self-expression but as an instrument in the toolkit of a professional. Sergei Tchoban was taken as an example of a successful architect for whom the knowledge of a man-made drawing is very important. He arranges the contests of architectural drawings for students promoting creative development in this way. Nowadays, students tend to use computer programs to make architectural projects losing their individual approach. The creative process becomes a matter of scissors and paste being just a copy of something that already exists. The solution of the problem is the reconsideration of the department’s curriculum and adding extra hours for creative subjects.

Deep Space Network information system architecture study

Science.gov (United States)

Beswick, C. A.; Markley, R. W. (Editor); Atkinson, D. J.; Cooper, L. P.; Tausworthe, R. C.; Masline, R. C.; Jenkins, J. S.; Crowe, R. A.; Thomas, J. L.; Stoloff, M. J.

1992-01-01

The purpose of this article is to describe an architecture for the DSN information system in the years 2000-2010 and to provide guidelines for its evolution during the 1990's. The study scope is defined to be from the front-end areas at the antennas to the end users (spacecraft teams, principal investigators, archival storage systems, and non-NASA partners). The architectural vision provides guidance for major DSN implementation efforts during the next decade. A strong motivation for the study is an expected dramatic improvement in information-systems technologies--i.e., computer processing, automation technology (including knowledge-based systems), networking and data transport, software and hardware engineering, and human-interface technology. The proposed Ground Information System has the following major features: unified architecture from the front-end area to the end user; open-systems standards to achieve interoperability; DSN production of level 0 data; delivery of level 0 data from the Deep Space Communications Complex, if desired; dedicated telemetry processors for each receiver; security against unauthorized access and errors; and highly automated monitor and control.

Genetic and Molecular Mechanisms of Quantitative Trait Loci Controlling Maize Inflorescence Architecture.

Science.gov (United States)

Li, Manfei; Zhong, Wanshun; Yang, Fang; Zhang, Zuxin

2018-03-01

The establishment of inflorescence architecture is critical for the reproduction of flowering plant species. The maize plant generates two types of inflorescences, the tassel and the ear, and their architectures have a large effect on grain yield and yield-related traits that are genetically controlled by quantitative trait loci (QTLs). Since ear and tassel architecture are deeply affected by the activity of inflorescence meristems, key QTLs and genes regulating meristematic activity have important impacts on inflorescence development and show great potential for optimizing grain yield. Isolation of yield trait-related QTLs is challenging, but these QTLs have direct application in maize breeding. Additionally, characterization and functional dissection of QTLs can provide genetic and molecular knowledge of quantitative variation in inflorescence architecture. In this review, we summarize currently identified QTLs responsible for the establishment of ear and tassel architecture and discuss the potential genetic control of four ear-related and four tassel-related traits. In recent years, several inflorescence architecture-related QTLs have been characterized at the gene level. We review the mechanisms of these characterized QTLs.

Imaging human brain cyto- and myelo-architecture with quantitative OCT (Conference Presentation)

Science.gov (United States)

Boas, David A.; Wang, Hui; Konukoglu, Ender; Fischl, Bruce; Sakadzic, Sava; Magnain, Caroline V.

2017-02-01

No current imaging technology allows us to directly and without significant distortion visualize the microscopic and defining anatomical features of the human brain. Ex vivo histological techniques can yield exquisite planar images, but the cutting, mounting and staining that are required components of this type of imaging induce distortions that are different for each slice, introducing cross-slice differences that prohibit true 3D analysis. We are overcoming this issue by utilizing Optical Coherence Tomography (OCT) with the goal to image whole human brain cytoarchitectural and laminar properties with potentially 3.5 µm resolution in block-face without the need for exogenous staining. From the intrinsic scattering contrast of the brain tissue, OCT gives us images that are comparable to Nissl stains, but without the distortions introduced in standard histology as the OCT images are acquired from the block face prior to slicing and thus without the need for subsequent staining and mounting. We have shown that laminar and cytoarchitectural properties of the brain can be characterized with OCT just as well as with Nissl staining. We will present our recent advances to improve the axial resolution while maintaining contrast; improvements afforded by speckle reduction procedures; and efforts to obtain quantitative maps of the optical scattering coefficient, an intrinsic property of the tissue.

The Brains behind Brain-Based Research: The Tale of Two Postsecondary Online Learners

Science.gov (United States)

McGuckin, Dawn; Ladhani, Mubeen

2010-01-01

This paper is written from the perspective of two postsecondary students who realized the implications for brain-based learning in the online environment. This paper explores the relationship between online learning in regards to how the brain generates meaning and understanding, the role of emotions, the collaborative construction of knowledge,…

Brain enhancement through cognitive training: a new insight from brain connectome

Directory of Open Access Journals (Sweden)

Fumihiko eTaya

2015-04-01

Full Text Available Owing to the recent advances in neurotechnology and the progress in understanding of brain cognitive functions, improvements of cognitive performance or acceleration of learning process with brain enhancement systems is not out of our reach anymore, on the contrary, it is a tangible target of contemporary research. Although a variety of approaches have been proposed, we will mainly focus on cognitive training interventions, in which learners repeatedly perform cognitive tasks to improve their cognitive abilities. In this review article, we propose that the learning process during the cognitive training can be facilitated by an assistive system monitoring cognitive workloads using EEG biomarkers, and the brain connectome approach can provide additional valuable biomarkers for facilitating leaners' learning processes. For the purpose, we will introduce studies on the cognitive training interventions, EEG biomarkers for cognitive workload, and human brain connectome. As cognitive overload and mental fatigue would reduce or even eliminate gains of cognitive training interventions, a real-time monitoring of cognitive workload can facilitate the learning process by flexibly adjusting difficulty levels of the training task. Moreover, cognitive training interventions should have effects on brain sub-networks, not on a single brain region, and graph theoretical network metrics quantifying topological architecture of the brain network can differentiate with respect to individual cognitive states as well as to different individuals' cognitive abilities, suggesting that the connectome is a valuable approach for tracking the learning progress. Although only a few studies have exploited the connectome approach for studying alterations of the brain network induced by cognitive training interventions so far, we believe that it would be a useful technique for capturing improvements of cognitive functions.

Brain enhancement through cognitive training: a new insight from brain connectome.

Science.gov (United States)

Taya, Fumihiko; Sun, Yu; Babiloni, Fabio; Thakor, Nitish; Bezerianos, Anastasios

2015-01-01

Owing to the recent advances in neurotechnology and the progress in understanding of brain cognitive functions, improvements of cognitive performance or acceleration of learning process with brain enhancement systems is not out of our reach anymore, on the contrary, it is a tangible target of contemporary research. Although a variety of approaches have been proposed, we will mainly focus on cognitive training interventions, in which learners repeatedly perform cognitive tasks to improve their cognitive abilities. In this review article, we propose that the learning process during the cognitive training can be facilitated by an assistive system monitoring cognitive workloads using electroencephalography (EEG) biomarkers, and the brain connectome approach can provide additional valuable biomarkers for facilitating leaners' learning processes. For the purpose, we will introduce studies on the cognitive training interventions, EEG biomarkers for cognitive workload, and human brain connectome. As cognitive overload and mental fatigue would reduce or even eliminate gains of cognitive training interventions, a real-time monitoring of cognitive workload can facilitate the learning process by flexibly adjusting difficulty levels of the training task. Moreover, cognitive training interventions should have effects on brain sub-networks, not on a single brain region, and graph theoretical network metrics quantifying topological architecture of the brain network can differentiate with respect to individual cognitive states as well as to different individuals' cognitive abilities, suggesting that the connectome is a valuable approach for tracking the learning progress. Although only a few studies have exploited the connectome approach for studying alterations of the brain network induced by cognitive training interventions so far, we believe that it would be a useful technique for capturing improvements of cognitive functions.

Architecture in the Islamic Civilization: Muslim Building or Islamic Architecture

OpenAIRE

Yassin, Ayat Ali; Utaberta, Dr. Nangkula

2012-01-01

The main problem of the theory in the arena of islamic architecture is affected by some of its Westernthoughts, and stereotyping the islamic architecture according to Western thoughts; this leads to the breakdownof the foundations in the islamic architecture. It is a myth that islamic architecture is subjected to theinfluence from foreign architectures. This paper will highlight the dialectical concept of islamic architecture ormuslim buildings and the areas of recognition in islamic architec...

Mapping brain structure and function: cellular resolution, global perspective.

Science.gov (United States)

Zupanc, Günther K H

2017-04-01

A comprehensive understanding of the brain requires analysis, although from a global perspective, with cellular, and even subcellular, resolution. An important step towards this goal involves the establishment of three-dimensional high-resolution brain maps, incorporating brain-wide information about the cells and their connections, as well as the chemical architecture. The progress made in such anatomical brain mapping in recent years has been paralleled by the development of physiological techniques that enable investigators to generate global neural activity maps, also with cellular resolution, while simultaneously recording the organism's behavioral activity. Combination of the high-resolution anatomical and physiological maps, followed by theoretical systems analysis of the deduced network, will offer unprecedented opportunities for a better understanding of how the brain, as a whole, processes sensory information and generates behavior.

Surveying for architectural students: as simple as possible - as much as necessary

Science.gov (United States)

Mayer, I.; Mitterecker, T.

2017-08-01

More and more, existing buildings - and particularly historic buildings - are becoming part of the daily business of every architect. Planning and designing in the field of architectural heritage requires not only knowledge of contemporary building techniques, design processes and national and international guidelines, but also a deep understanding of architectural heritage, its evolution and genesis, the building techniques that have been applied, materials used, traditions, etc. In many cases, it is indispensable to perform a detailed building survey and building research to achieve an adequate design concept. The Department of History of Architecture and Building Archaeology of TU Wien has an extensive tradition of building research and over the course of the past 10 years, has developed a teaching workflow to introduce architectural students to building archaeology und surveying methods for building research. A sophisticated, temporally interwoven combination of courses and lectures on different topics related to building archaeology and surveying rapidly gives the architectural students the right tools for this important but often neglected task.

Geometric Computing for Freeform Architecture

KAUST Repository

Wallner, J.

2011-06-03

Geometric computing has recently found a new field of applications, namely the various geometric problems which lie at the heart of rationalization and construction-aware design processes of freeform architecture. We report on our work in this area, dealing with meshes with planar faces and meshes which allow multilayer constructions (which is related to discrete surfaces and their curvatures), triangles meshes with circle-packing properties (which is related to conformal uniformization), and with the paneling problem. We emphasize the combination of numerical optimization and geometric knowledge.

A convergent functional architecture of the insula emerges across imaging modalities.

Science.gov (United States)

Kelly, Clare; Toro, Roberto; Di Martino, Adriana; Cox, Christine L; Bellec, Pierre; Castellanos, F Xavier; Milham, Michael P

2012-07-16

Empirical evidence increasingly supports the hypothesis that patterns of intrinsic functional connectivity (iFC) are sculpted by a history of evoked coactivation within distinct neuronal networks. This, together with evidence of strong correspondence among the networks defined by iFC and those delineated using a variety of other neuroimaging techniques, suggests a fundamental brain architecture detectable across multiple functional and structural imaging modalities. Here, we leverage this insight to examine the functional organization of the human insula. We parcellated the insula on the basis of three distinct neuroimaging modalities - task-evoked coactivation, intrinsic (i.e., task-independent) functional connectivity, and gray matter structural covariance. Clustering of these three different covariance-based measures revealed a convergent elemental organization of the insula that likely reflects a fundamental brain architecture governing both brain structure and function at multiple spatial scales. While not constrained to be hierarchical, our parcellation revealed a pseudo-hierarchical, multiscale organization that was consistent with previous clustering and meta-analytic studies of the insula. Finally, meta-analytic examination of the cognitive and behavioral domains associated with each of the insular clusters obtained elucidated the broad functional dissociations likely underlying the topography observed. To facilitate future investigations of insula function across healthy and pathological states, the insular parcels have been made freely available for download via http://fcon_1000.projects.nitrc.org, along with the analytic scripts used to perform the parcellations. Copyright © 2012 Elsevier Inc. All rights reserved.

MO-G-201-04: Knowledge-Based Planning for Single-Isocenter Stereotactic Radiosurgery to Multiple Brain Metastases

International Nuclear Information System (INIS)

Ziemer, B; Shiraishi, S; Hattangadi-Gluth, J; Sanghvi, P; Moore, K

2016-01-01

Purpose: Single-isocenter, linac-based SRS for multiple brain metastases (multi-mets) can deliver highly conformal radiation doses and reduce overall patient treatment time compared to other therapy techniques. This study aims to quantify the dosimetric benefits of knowledge-based planning (KBP) for multi-met treatments. Methods: Using a previously-published KBP methodology (an artificial neural network (ANN) trained on single-target linac-based SRS plans), 3D dose distribution predictions for multi-met patients were obtained by treating each brain lesion as a solitary target and subsequently combining individual predictions into a single distribution using a dose-weighted geometric averaging to obtain the best results in the inter-target space. 17 previously-treated multi-met plans, with target numbers ranging from N=2–5, were used to validate the ANN predictions and subsequent KBP auto-planning routine. The fully-deliverable KBP plans were developed by converting dose distribution predictions into patient-specific optimization objectives while maintaining identical target normalizations (typically PTV V100%=D98%). Plan quality improvements were quantified by the difference between SRS quality metrics (QMs): δdQM=QM(clinical)-QM(KBP). QMs of interest were: gradient measure (GM), conformity index (CI), brain V10 and V5, brainstem D0.1cc and heterogeneity index (HI). Finally, overall plan quality was judged via blinded plan comparison by SRS-specializing physicians. Results: Two clinical plans were found to be significant outliers wherein plan quality was dramatically worse than KBP. Despite indicating KBP superiority, these were removed from the QM analysis to prevent skewing the results. In the remaining cases, clinical and KBP QMs were nearly identical with modest improvements in the KBP sample: δGM=0.12±0.56mm, δCI=−0.01±0.04, Brain δV10=0.8±2.6cc, brain δV5=6.3 ±10.7cc, brainstem δD0.1cc=0.06±1.19Gy and δHI= −0.04±0.05. Ultimately, 13/17 KBP

MO-G-201-04: Knowledge-Based Planning for Single-Isocenter Stereotactic Radiosurgery to Multiple Brain Metastases

Energy Technology Data Exchange (ETDEWEB)

Ziemer, B [University of California, San Diego, La Jolla, CA (United States); Shiraishi, S [Mayo Clinic, Rochester, MN (United States); Hattangadi-Gluth, J; Sanghvi, P; Moore, K

2016-06-15

Purpose: Single-isocenter, linac-based SRS for multiple brain metastases (multi-mets) can deliver highly conformal radiation doses and reduce overall patient treatment time compared to other therapy techniques. This study aims to quantify the dosimetric benefits of knowledge-based planning (KBP) for multi-met treatments. Methods: Using a previously-published KBP methodology (an artificial neural network (ANN) trained on single-target linac-based SRS plans), 3D dose distribution predictions for multi-met patients were obtained by treating each brain lesion as a solitary target and subsequently combining individual predictions into a single distribution using a dose-weighted geometric averaging to obtain the best results in the inter-target space. 17 previously-treated multi-met plans, with target numbers ranging from N=2–5, were used to validate the ANN predictions and subsequent KBP auto-planning routine. The fully-deliverable KBP plans were developed by converting dose distribution predictions into patient-specific optimization objectives while maintaining identical target normalizations (typically PTV V100%=D98%). Plan quality improvements were quantified by the difference between SRS quality metrics (QMs): δdQM=QM(clinical)-QM(KBP). QMs of interest were: gradient measure (GM), conformity index (CI), brain V10 and V5, brainstem D0.1cc and heterogeneity index (HI). Finally, overall plan quality was judged via blinded plan comparison by SRS-specializing physicians. Results: Two clinical plans were found to be significant outliers wherein plan quality was dramatically worse than KBP. Despite indicating KBP superiority, these were removed from the QM analysis to prevent skewing the results. In the remaining cases, clinical and KBP QMs were nearly identical with modest improvements in the KBP sample: δGM=0.12±0.56mm, δCI=−0.01±0.04, Brain δV10=0.8±2.6cc, brain δV5=6.3 ±10.7cc, brainstem δD0.1cc=0.06±1.19Gy and δHI= −0.04±0.05. Ultimately, 13/17 KBP

Proposing an Optimal Learning Architecture for the Digital Enterprise.

Science.gov (United States)

O'Driscoll, Tony

2003-01-01

Discusses the strategic role of learning in information age organizations; analyzes parallels between the application of technology to business and the application of technology to learning; and proposes a learning architecture that aligns with the knowledge-based view of the firm and optimizes the application of technology to achieve proficiency…

Modern Conditions and the Impacts of the Creation of Architectural Environment

Science.gov (United States)

Abyzov, Vadym

2017-10-01

The purpose of this research is an attempt to identify and analyse the modern conditions and impacts of the creation of architectural environment and on this basis to determine the main directions and tasks of the development of architecture at the appropriate hierarchical levels. A comprehensive review and structural analysis of all impact factors and different current conditions that lead to the sustainable architecture design are conducted in the proposal. The main groups of factors and conditions such as social-economical, natural-geographic, urban, ergonomics, ecological, typological, technical, cultural, and aesthetics are determined in accordance with their contemporary specifics. This analysis provides an opportunity to define the appropriative hierarchical levels of the modern trends and prospects of creation an effective, attractive and friendly architectural environment. Some examples of author’s projects and implementations is presented in the article. Such methodological approach will help to create a holistic view of the creation architectural environment, will allow to systematize existing knowledges and concepts, practices and prospects of the means and methods of its formation and development.

Distributed behavior-based control architecture for a wall climbing robot

International Nuclear Information System (INIS)

Nadir Ould Khessal; Shamsudin H.M. Amin . nadir.ok@ieee.org

1999-01-01

In the past two decades, Behavior-based AI (Artificial Intelligence) has emerged as a new approach in designing mobile robot control architecture. It stresses on the issues of reactivity, concurrency and real-time control. In this paper we propose a new approach in designing robust intelligent controllers for mobile robot platforms. The Behaviour-based paradigm implemented in a multiprocessing firmware architecture will further enhance parallelism present in the subsumption paradigm itself and increased real-timeness. The paper summarises research done to design a four-legged wall climbing robot. The emphasis will be on the control architecture of the robot based on the Behavior -based paradigm. The robot control architecture is made up of two layers, the locomotion layer and the gait controller layer. The two layers are implemented on a Vesta 68332 processor board running the Behaviour-based kernel, The software is developed using the L programming language, introduced by IS Robotics. The Behaviour-based paradigm is outlined and contrasted with the classical Knowledge-based approach. A description of the distributed architecture is presented followed by a presentation of the Behaviour-based agents for the two layers. (author)

Architectural Theatricality

DEFF Research Database (Denmark)

Tvedebrink, Tenna Doktor Olsen; Fisker, Anna Marie; Kirkegaard, Poul Henning

2013-01-01

In the attempt to improve patient treatment and recovery, researchers focus on applying concepts of hospitality to hospitals. Often these concepts are dominated by hotel-metaphors focusing on host–guest relationships or concierge services. Motivated by a project trying to improve patient treatment...... is known for his writings on theatricality, understood as a holistic design approach emphasizing the contextual, cultural, ritual and social meanings rooted in architecture. Relative hereto, the International Food Design Society recently argued, in a similar holistic manner, that the methodology used...... to provide an aesthetic eating experience includes knowledge on both food and design. Based on a hermeneutic reading of Semper’s theory, our thesis is that this holistic design approach is important when debating concepts of hospitality in hospitals. We use this approach to argue for how ‘food design...

Knowledge management: An abstraction of knowledge base and database management systems

Science.gov (United States)

Riedesel, Joel D.

1990-01-01

Artificial intelligence application requirements demand powerful representation capabilities as well as efficiency for real-time domains. Many tools exist, the most prevalent being expert systems tools such as ART, KEE, OPS5, and CLIPS. Other tools just emerging from the research environment are truth maintenance systems for representing non-monotonic knowledge, constraint systems, object oriented programming, and qualitative reasoning. Unfortunately, as many knowledge engineers have experienced, simply applying a tool to an application requires a large amount of effort to bend the application to fit. Much work goes into supporting work to make the tool integrate effectively. A Knowledge Management Design System (KNOMAD), is described which is a collection of tools built in layers. The layered architecture provides two major benefits; the ability to flexibly apply only those tools that are necessary for an application, and the ability to keep overhead, and thus inefficiency, to a minimum. KNOMAD is designed to manage many knowledge bases in a distributed environment providing maximum flexibility and expressivity to the knowledge engineer while also providing support for efficiency.

Knowledge-assisted cross-media analysis of audio-visual content in the news domain

NARCIS (Netherlands)

Mezaris, Vasileios; Gidaros, Spyros; Papadopoulos, Georgios Th.; Kasper, Walter; Ordelman, Roeland J.F.; de Jong, Franciska M.G.; Kompatsiaris, Ioannis

In this paper, a complete architecture for knowledge-assisted cross-media analysis of News-related multimedia content is presented, along with its constituent components. The proposed analysis architecture employs state-of-the-art methods for the analysis of each individual modality (visual, audio,

Classification and Comparison of Architecture Evolution Reuse Knowledge - A Systematic Review

DEFF Research Database (Denmark)

Ahmad, Aakash; Jamshidi, Pooyan; Pahl, Claus

2014-01-01

patterns (34% of selected studies) represent a predominant solution, followed by evolution styles (25%) and adaptation strategies and policies (22%) to enable application of reuse knowledge. Empirical methods for acquisition of reuse knowledge represent 19% including pattern discovery, configuration...

Measurements of brain microstructure and connectivity with diffusion MRI

Directory of Open Access Journals (Sweden)

Ching-Po Lin

2011-12-01

Full Text Available By probing direction-dependent diffusivity of water molecules, diffusion MRI has shown its capability to reflect the microstructural tissue status and to estimate the neural orientation and pathways in the living brain. This approach has supplied novel insights into in-vivo human brain connections. By detecting the connection patterns, anatomical architecture and structural integrity between cortical regions or subcortical nuclei in the living human brain can be easily identified. It thus opens a new window on brain connectivity studies and disease processes. During the past years, there is a growing interest in exploring the connectivity patterns of the human brain. Specifically, the utilities of noninvasive neuroimaging data and graph theoretical analysis have provided important insights into the anatomical connections and topological pattern of human brain structural networks in vivo. Here, we review the progress of this important technique and the recent methodological and application studies utilizing graph theoretical approaches on brain structural networks with structural MRI and diffusion MRI.

Software architecture analysis tool : software architecture metrics collection

NARCIS (Netherlands)

Muskens, J.; Chaudron, M.R.V.; Westgeest, R.

2002-01-01

The Software Engineering discipline lacks the ability to evaluate software architectures. Here we describe a tool for software architecture analysis that is based on metrics. Metrics can be used to detect possible problems and bottlenecks in software architectures. Even though metrics do not give a

Blackboard architecture for medical image interpretation

Science.gov (United States)

Davis, Darryl N.; Taylor, Christopher J.

1991-06-01

There is a growing interest in using sophisticated knowledge-based systems for biomedical image interpretation. We present a principled attempt to use artificial intelligence methodologies in interpreting lateral skull x-ray images. Such radiographs are routinely used in cephalometric analysis to provide quantitative measurements useful to clinical orthodontists. Manual and interactive methods of analysis are known to be error prone and previous attempts to automate this analysis typically fail to capture the expertise and adaptability required to cope with the variability in biological structure and image quality. An integrated model-based system has been developed which makes use of a blackboard architecture and multiple knowledge sources. A model definition interface allows quantitative models, of feature appearance and location, to be built from examples as well as more qualitative modelling constructs. Visual task definition and blackboard control modules allow task-specific knowledge sources to act on information available to the blackboard in a hypothesise and test reasoning cycle. Further knowledge-based modules include object selection, location hypothesis, intelligent segmentation, and constraint propagation systems. Alternative solutions to given tasks are permitted.

Examining the volume efficiency of the cortical architecture in a multi-processor network model.

Science.gov (United States)

Ruppin, E; Schwartz, E L; Yeshurun, Y

1993-01-01

The convoluted form of the sheet-like mammalian cortex naturally raises the question whether there is a simple geometrical reason for the prevalence of cortical architecture in the brains of higher vertebrates. Addressing this question, we present a formal analysis of the volume occupied by a massively connected network or processors (neurons) and then consider the pertaining cortical data. Three gross macroscopic features of cortical organization are examined: the segregation of white and gray matter, the circumferential organization of the gray matter around the white matter, and the folded cortical structure. Our results testify to the efficiency of cortical architecture.

Dynamics of a neural system with a multiscale architecture

Science.gov (United States)

Breakspear, Michael; Stam, Cornelis J

2005-01-01

The architecture of the brain is characterized by a modular organization repeated across a hierarchy of spatial scales—neurons, minicolumns, cortical columns, functional brain regions, and so on. It is important to consider that the processes governing neural dynamics at any given scale are not only determined by the behaviour of other neural structures at that scale, but also by the emergent behaviour of smaller scales, and the constraining influence of activity at larger scales. In this paper, we introduce a theoretical framework for neural systems in which the dynamics are nested within a multiscale architecture. In essence, the dynamics at each scale are determined by a coupled ensemble of nonlinear oscillators, which embody the principle scale-specific neurobiological processes. The dynamics at larger scales are ‘slaved’ to the emergent behaviour of smaller scales through a coupling function that depends on a multiscale wavelet decomposition. The approach is first explicated mathematically. Numerical examples are then given to illustrate phenomena such as between-scale bifurcations, and how synchronization in small-scale structures influences the dynamics in larger structures in an intuitive manner that cannot be captured by existing modelling approaches. A framework for relating the dynamical behaviour of the system to measured observables is presented and further extensions to capture wave phenomena and mode coupling are suggested. PMID:16087448

Brains versus beauty in the knowledge economy

Directory of Open Access Journals (Sweden)

Richard Ford

2018-03-01

Full Text Available Orientation: It is a widely held belief that attractive people generally experience an easier life and that the door to success is opened by perfect bone structure and a sparkling smile. However, attractiveness might play a far lesser role in individual’s achieving their objectives than has previously been thought. Is it possible that an individual’s qualifications may have a greater influence on the perceptions of managers who assess the suitability of a candidate of a knowledge worker? Research purpose: The study sets out to examine the relative predictive power of physical attractiveness and qualifications in the decision to hire a knowledge worker. Motivation for the study: The research was motivated by a desire to explore the presence of bias in the decision-making process when seemingly rational individuals are exposed to factors such as physical attractiveness of a job candidate and then faced with a decision on whether to hire them. Research design, approach and method: A two-phased experimental design was applied to investigate the existence and strength of the beauty premium amongst a group of managers who were provided with fictitious resumes coupled with photographs of the applicants. These managers were requested to make a hiring decision based on the information supplied. Main findings: Although results confirm the existence of a beauty premium, it was relatively weak. It indicated that qualifications have a greater influence on a manager’s perception of the suitability of a candidate to fill a position of a knowledge worker. Practical or managerial implications: The research draws attention to the possibility of bias in selection decisions and proposes ways in which such potential bias can be limited. Contribution: This study contributes to knowledge concerning the existence or otherwise of a so-called beauty premium, with particular reference to its impact in the knowledge economy.

'Pays' -'Land'-'Yuan Lin'. The power of landscape (architecture) terms

NARCIS (Netherlands)

Bruns, D.; Brink, van den A.

2012-01-01

In order to continue building a common body of knowledge, landscape architecture researchers and practitioners must refer to the same fundamental concepts – particularly in those instances where different words are used to describe them. This paper puts the focus on ‘landscape’, probably the most

Candida Biofilms: Development, Architecture, and Resistance

Science.gov (United States)

CHANDRA, JYOTSNA; MUKHERJEE, PRANAB K.

2015-01-01

Intravascular device–related infections are often associated with biofilms (microbial communities encased within a polysaccharide-rich extracellular matrix) formed by pathogens on the surfaces of these devices. Candida species are the most common fungi isolated from catheter-, denture-, and voice prosthesis–associated infections and also are commonly isolated from contact lens–related infections (e.g., fungal keratitis). These biofilms exhibit decreased susceptibility to most antimicrobial agents, which contributes to the persistence of infection. Recent technological advances have facilitated the development of novel approaches to investigate the formation of biofilms and identify specific markers for biofilms. These studies have provided extensive knowledge of the effect of different variables, including growth time, nutrients, and physiological conditions, on biofilm formation, morphology, and architecture. In this article, we will focus on fungal biofilms (mainly Candida biofilms) and provide an update on the development, architecture, and resistance mechanisms of biofilms. PMID:26350306

Open architecture design and approach for the Integrated Sensor Architecture (ISA)

Science.gov (United States)

Moulton, Christine L.; Krzywicki, Alan T.; Hepp, Jared J.; Harrell, John; Kogut, Michael

2015-05-01

Integrated Sensor Architecture (ISA) is designed in response to stovepiped integration approaches. The design, based on the principles of Service Oriented Architectures (SOA) and Open Architectures, addresses the problem of integration, and is not designed for specific sensors or systems. The use of SOA and Open Architecture approaches has led to a flexible, extensible architecture. Using these approaches, and supported with common data formats, open protocol specifications, and Department of Defense Architecture Framework (DoDAF) system architecture documents, an integration-focused architecture has been developed. ISA can help move the Department of Defense (DoD) from costly stovepipe solutions to a more cost-effective plug-and-play design to support interoperability.

Abnormal functional global and local brain connectivity in female patients with anorexia nervosa

Science.gov (United States)

Geisler, Daniel; Borchardt, Viola; Lord, Anton R.; Boehm, Ilka; Ritschel, Franziska; Zwipp, Johannes; Clas, Sabine; King, Joseph A.; Wolff-Stephan, Silvia; Roessner, Veit; Walter, Martin; Ehrlich, Stefan

2016-01-01

Background Previous resting-state functional connectivity studies in patients with anorexia nervosa used independent component analysis or seed-based connectivity analysis to probe specific brain networks. Instead, modelling the entire brain as a complex network allows determination of graph-theoretical metrics, which describe global and local properties of how brain networks are organized and how they interact. Methods To determine differences in network properties between female patients with acute anorexia nervosa and pairwise matched healthy controls, we used resting-state fMRI and computed well-established global and local graph metrics across a range of network densities. Results Our analyses included 35 patients and 35 controls. We found that the global functional network structure in patients with anorexia nervosa is characterized by increases in both characteristic path length (longer average routes between nodes) and assortativity (more nodes with a similar connectedness link together). Accordingly, we found locally decreased connectivity strength and increased path length in the posterior insula and thalamus. Limitations The present results may be limited to the methods applied during preprocessing and network construction. Conclusion We demonstrated anorexia nervosa–related changes in the network configuration for, to our knowledge, the first time using resting-state fMRI and graph-theoretical measures. Our findings revealed an altered global brain network architecture accompanied by local degradations indicating wide-scale disturbance in information flow across brain networks in patients with acute anorexia nervosa. Reduced local network efficiency in the thalamus and posterior insula may reflect a mechanism that helps explain the impaired integration of visuospatial and homeostatic signals in patients with this disorder, which is thought to be linked to abnormal representations of body size and hunger. PMID:26252451

Genetic influences on schizophrenia and subcortical brain volumes

DEFF Research Database (Denmark)

Franke, Barbara; Stein, Jason L; Ripke, Stephan

2016-01-01

and subcortical volume measures either at the level of common variant genetic architecture or for single genetic markers. These results provide a proof of concept (albeit based on a limited set of structural brain measures) and define a roadmap for future studies investigating the genetic covariance between...... genome-wide data to investigate genetic overlap. Here we integrated results from common variant studies of schizophrenia (33,636 cases, 43,008 controls) and volumes of several (mainly subcortical) brain structures (11,840 subjects). We did not find evidence of genetic overlap between schizophrenia risk...

The GRIFFIN Collaborative Virtual Community for Architectural Knowledge Management

NARCIS (Netherlands)

Lago, Patricia; Farenhorst, Rik; Avgeriou, Paris; Boer, Remco C. de; Clerc, Viktor; Jansen, Anton; Vliet, Hans van

2010-01-01

Modern software architecting increasingly often takes place in geographically distributed contexts involving teams of professionals and customers with different backgrounds and roles. So far, attention and effort have been mainly dedicated to individuals sharing already formalized knowledge and less

Analysis of Architecture Pattern Usage in Legacy System Architecture Documentation

NARCIS (Netherlands)

Harrison, Neil B.; Avgeriou, Paris

2008-01-01

Architecture patterns are an important tool in architectural design. However, while many architecture patterns have been identified, there is little in-depth understanding of their actual use in software architectures. For instance, there is no overview of how many patterns are used per system or

On the Architectural Engineering Competences in Architectural Design

DEFF Research Database (Denmark)

Kirkegaard, Poul Henning

2007-01-01

In 1997 a new education in Architecture & Design at Department of Architecture and Design, Aalborg University was started with 50 students. During the recent years this number has increased to approximately 100 new students each year, i.e. approximately 500 students are following the 3 years...... bachelor (BSc) and the 2 years master (MSc) programme. The first 5 semesters are common for all students followed by 5 semesters with specialization into Architectural Design, Urban Design, Industrial Design or Digital Design. The present paper gives a short summary of the architectural engineering...

Reactive Astrocytes in Brain Metastasis

Directory of Open Access Journals (Sweden)

David Wasilewski

2017-12-01

Full Text Available Brain metastasis, the secondary growth of malignant cells within the central nervous system (CNS, exceeds the incidence of primary brain tumors (i.e., gliomas by tenfold and are seemingly on the rise owing to the emergence of novel targeted therapies that are more effective in controlling extracranial disease relatively to intracranial lesions. Despite the fact that metastasis to the brain poses a unmet clinical problem, with afflicted patients carrying significant morbidity and a fatal prognosis, our knowledge as to how metastatic cells manage to adapt to the tissue environment of the CNS remains limited. Answering this question could pave the way for novel and more specific therapeutic modalities in brain metastasis by targeting the specific makeup of the brain metastatic niche. In regard to this, astrocytes have emerged as the major host cell type that cancer cells encounter and interact with during brain metastasis formation. Similarly to other CNS disorders, astrocytes become reactive and respond to the presence of cancer cells by changing their phenotype and significantly influencing the outcome of disseminated cancer cells within the CNS. Here, we summarize the current knowledge on the contribution of reactive astrocytes in brain metastasis by focusing on the signaling pathways and types of interactions that play a crucial part in the communication with cancer cells and how these could be translated into innovative therapies.

Success of Anomia Treatment in Aphasia Is Associated With Preserved Architecture of Global and Left Temporal Lobe Structural Networks.

Science.gov (United States)

Bonilha, Leonardo; Gleichgerrcht, Ezequiel; Nesland, Travis; Rorden, Chris; Fridriksson, Julius

2016-03-01

Targeted speech therapy can lead to substantial naming improvement in some subjects with anomia following dominant-hemisphere stroke. We investigated whether treatment-induced improvement in naming is associated with poststroke preservation of structural neural network architecture. Twenty-four patients with poststroke chronic aphasia underwent 30 hours of speech therapy over a 2-week period and were assessed at baseline and after therapy. Whole brain maps of neural architecture were constructed from pretreatment diffusion tensor magnetic resonance imaging to derive measures of global brain network architecture (network small-worldness) and regional network influence (nodal betweenness centrality). Their relationship with naming recovery was evaluated with multiple linear regressions. Treatment-induced improvement in correct naming was associated with poststroke preservation of global network small worldness and of betweenness centrality in temporal lobe cortical regions. Together with baseline aphasia severity, these measures explained 78% of the variability in treatment response. Preservation of global and left temporal structural connectivity broadly explains the variability in treatment-related naming improvement in aphasia. These findings corroborate and expand on previous classical lesion-symptom mapping studies by elucidating some of the mechanisms by which brain damage may relate to treated aphasia recovery. Favorable naming outcomes may result from the intact connections between spared cortical areas that are functionally responsive to treatment. © The Author(s) 2015.

Web-service architecture for tools supporting life-long e-Learning platforms

NARCIS (Netherlands)

Dimov, Alexander; Stefanov, Krassen

2009-01-01

Dimov, A., & Stefanov, K. (2008). Web-service architecture for tools supporting life-long e-Learning platforms. In R. Koper, K. Stefanov & D. Dicheva (Eds.), Proceedings of the 5th International TENCompetence Open Workshop "Stimulating Personal Development and Knowledge Sharing" (pp. 67-71).

An introduction to human brain anatomy

NARCIS (Netherlands)

Forstmann, B.U.; Keuken, M.C.; Alkemade, A.; Forstmann, B.U.; Wagenmakers, E.-J.

2015-01-01

This tutorial chapter provides an overview of the human brain anatomy. Knowledge of brain anatomy is fundamental to our understanding of cognitive processes in health and disease; moreover, anatomical constraints are vital for neurocomputational models and can be important for psychological

Connecting Architecture and Implementation

Science.gov (United States)

Buchgeher, Georg; Weinreich, Rainer

Software architectures are still typically defined and described independently from implementation. To avoid architectural erosion and drift, architectural representation needs to be continuously updated and synchronized with system implementation. Existing approaches for architecture representation like informal architecture documentation, UML diagrams, and Architecture Description Languages (ADLs) provide only limited support for connecting architecture descriptions and implementations. Architecture management tools like Lattix, SonarJ, and Sotoarc and UML-tools tackle this problem by extracting architecture information directly from code. This approach works for low-level architectural abstractions like classes and interfaces in object-oriented systems but fails to support architectural abstractions not found in programming languages. In this paper we present an approach for linking and continuously synchronizing a formalized architecture representation to an implementation. The approach is a synthesis of functionality provided by code-centric architecture management and UML tools and higher-level architecture analysis approaches like ADLs.

Role of the Blood-Brain Barrier in the Formation of Brain Metastases

Directory of Open Access Journals (Sweden)

István A. Krizbai

2013-01-01

Full Text Available The majority of brain metastases originate from lung cancer, breast cancer and malignant melanoma. In order to reach the brain, parenchyma metastatic cells have to transmigrate through the endothelial cell layer of brain capillaries, which forms the morphological basis of the blood-brain barrier (BBB. The BBB has a dual role in brain metastasis formation: it forms a tight barrier protecting the central nervous system from entering cancer cells, but it is also actively involved in protecting metastatic cells during extravasation and proliferation in the brain. The mechanisms of interaction of cancer cells and cerebral endothelial cells are largely uncharacterized. Here, we provide a comprehensive review on our current knowledge about the role of junctional and adhesion molecules, soluble factors, proteolytic enzymes and signaling pathways mediating the attachment of tumor cells to brain endothelial cells and the transendothelial migration of metastatic cells. Since brain metastases represent a great therapeutic challenge, it is indispensable to understand the mechanisms of the interaction of tumor cells with the BBB in order to find targets of prevention of brain metastasis formation.

The Functional Architecture of the Brain Underlies Strategic Deception in Impression Management

OpenAIRE

Qiang Luo; Qiang Luo; Yina Ma; Yina Ma; Meghana A. Bhatt; Meghana A. Bhatt; P. Read Montague; P. Read Montague; P. Read Montague; Jianfeng Feng; Jianfeng Feng; Jianfeng Feng; Jianfeng Feng; Jianfeng Feng

2017-01-01

Impression management, as one of the most essential skills of social function, impacts one's survival and success in human societies. However, the neural architecture underpinning this social skill remains poorly understood. By employing a two-person bargaining game, we exposed three strategies involving distinct cognitive processes for social impression management with different levels of strategic deception. We utilized a novel adaptation of Granger causality accounting for signal-dependent...

Design and "restoration": the Roots of Architecture Porject for the Built

Science.gov (United States)

Campanella, C.

2017-05-01

It is absolutely essential now to prepare a project of pre-critical understanding of the building which will be the object of action, free from preconceived notions of value, fully committed to the implementation of a variety of useful and indispensable to determine that operating margin and freedom that each architecture has not being linked uniquely to the precise original function. This is the margin that you can leverage to implement the architectural project for the built that mutuerà inside knowledge, conservation and innovation at the same time. The binomials in the lead paragraph as all sides of the same coin that merge into one integrated design process that takes charge of design including those different styles of drafting of survey (in all aspects) of an existing architecture.

Microstructural analysis of human white matter architecture using Polarized Light Imaging (PLI: Views from neuroanatomy

Directory of Open Access Journals (Sweden)

Hubertus eAxer

2011-11-01

Full Text Available To date, there are several methods for mapping connectivity, ranging from the macroscopic to molecular scales. However, it is difficult to integrate this multiply-scaled data into one concept. Polarized light imaging (PLI is a method to quantify fiber orientation in gross histological brain sections based on the birefringent properties of the myelin sheaths. The method is capable of imaging fiber orientation of larger-scale architectural patterns with higher detail than diffusion MRI of the human brain. PLI analyses light transmission through a gross histological section of a human brain under rotation of a polarization filter combination. Estimates of the angle of fiber direction and the angle of fiber inclination are automatically calculated at every point of the imaged section. Multiple sections can be assembled into a 3D volume. We describe the principles of PLI and present several studies of fiber anatomy in the human brain: 6 brainstems were serially sectioned, imaged with PLI, and 3D reconstructed. Pyramidal tract and lemniscus medialis were segmented in the PLI datasets. PLI data from the internal capsule was related to results from confocal laser scanning microscopy, which is a method of smaller scale fiber anatomy. PLI fiber architecture of the extreme capsule was compared to macroscopical dissection, which represents a method of larger scale anatomy. The microstructure of the anterior human cingulum bundle was analyzed in serial sections of 6 human brains. PLI can generate highly-resolved 3D datsets of fiber orientation of the human brain and has, therefore, a high comparability to diffusion MR. To get additional information regarding axon structure and density, PLI can also be combined with classical histological stains. It brings the directional aspects of diffusion MRI into the range of histology and may represent a promising tool to close the gap between larger scale diffusion orientation and microstructural histological analysis

Sex differences in brain organization: implications for human communication.

Science.gov (United States)

Hanske-Petitpierre, V; Chen, A C

1985-12-01

This article reviews current knowledge in two major research domains: sex differences in neuropsychophysiology, and in human communication. An attempt was made to integrate knowledge from several areas of brain research with human communication and to clarify how such a cooperative effort may be beneficial to both fields of study. By combining findings from the area of brain research, a communication paradigm was developed which contends that brain-related sex differences may reside largely in the area of communication of emotion.

Workshop on Educational Innovation in Architecture: JIDA’17 5th Edition

Directory of Open Access Journals (Sweden)

Berta Bardí-Milà

2018-05-01

Full Text Available Workshop on Educational Innovation in Architecture (JIDA, http://revistes.upc.edu/ojs/index.php/JIDA are a meeting point for professionals in teaching innovation in the field of Architecture. Its main aim is to present and share teaching experiences within several architecture disciplines. In this sense, the conference becomes a forum to discuss issues related to the daily pedagogical practice from a wide range of views both from national and international schools of Architecture. JIDA’17 goal is to improve the quality of learning in this specific field of knowledge and, more precisely, in the general training of architects. The five editions so far (2013-2017 have been developed under the initiative and coordination of the Grup per la Innovació i la Logística Docent en Arquitectura (GILDA, in cooperation with the Institut de Ciències de l’Educació (ICE-UPC. In the current monograph, we have included four communications which were presented in JIDA’S fifth edition (2017, and a preface by the Conference directors in which we discuss the global panorama of education in architecture in terms of teaching experiences collected in all previous JIDA’s proceedings.

Caring for Patients with traumatic brain injury: a survey of nurses' perceptions.

Science.gov (United States)

Oyesanya, Tolu O; Brown, Roger L; Turkstra, Lyn S

2017-06-01

The purpose of this study was to determine nurses' perceptions about caring for patients with traumatic brain injury. Annually, it is estimated that over 10 million people sustain a traumatic brain injury around the world. Patients with traumatic brain injury and their families are often concerned with expectations about recovery and seek information from nurses. Nurses' perceptions of care might influence information provided to patients and families, particularly if inaccurate knowledge and perceptions are held. Thus, nurses must be knowledgeable about care of these patients. A cross-sectional survey, the Perceptions of Brain Injury Survey (PBIS), was completed electronically by 513 nurses between October and December 2014. Data were analysed with structural equation modelling, factor analysis, and pairwise comparisons. Using latent class analysis, authors were able to divide nurses into three homogeneous sub-groups based on perceived knowledge: low, moderate and high. Findings showed that nurses who care for patients with traumatic brain injury the most have the highest perceived confidence but the lowest perceived knowledge. Nurses also had significant variations in training. As there is limited literature on nurses' perceptions of caring for patients with traumatic brain injury, these findings have implications for training and educating nurses, including direction for development of nursing educational interventions. As the incidence of traumatic brain injury is growing, it is imperative that nurses be knowledgeable about care of patients with these injuries. The traumatic brain injury PBIS can be used to determine inaccurate perceptions about caring for patients with traumatic brain injury before educating and training nurses. © 2016 John Wiley & Sons Ltd.

Neural stem cells and neuro/gliogenesis in the central nervous system: understanding the structural and functional plasticity of the developing, mature, and diseased brain.

Science.gov (United States)

Yamaguchi, Masahiro; Seki, Tatsunori; Imayoshi, Itaru; Tamamaki, Nobuaki; Hayashi, Yoshitaka; Tatebayashi, Yoshitaka; Hitoshi, Seiji

2016-05-01

Neurons and glia in the central nervous system (CNS) originate from neural stem cells (NSCs). Knowledge of the mechanisms of neuro/gliogenesis from NSCs is fundamental to our understanding of how complex brain architecture and function develop. NSCs are present not only in the developing brain but also in the mature brain in adults. Adult neurogenesis likely provides remarkable plasticity to the mature brain. In addition, recent progress in basic research in mental disorders suggests an etiological link with impaired neuro/gliogenesis in particular brain regions. Here, we review the recent progress and discuss future directions in stem cell and neuro/gliogenesis biology by introducing several topics presented at a joint meeting of the Japanese Association of Anatomists and the Physiological Society of Japan in 2015. Collectively, these topics indicated that neuro/gliogenesis from NSCs is a common event occurring in many brain regions at various ages in animals. Given that significant structural and functional changes in cells and neural networks are accompanied by neuro/gliogenesis from NSCs and the integration of newly generated cells into the network, stem cell and neuro/gliogenesis biology provides a good platform from which to develop an integrated understanding of the structural and functional plasticity that underlies the development of the CNS, its remodeling in adulthood, and the recovery from diseases that affect it.

Resolving structural variability in network models and the brain.

Directory of Open Access Journals (Sweden)

Florian Klimm

2014-03-01

Full Text Available Large-scale white matter pathways crisscrossing the cortex create a complex pattern of connectivity that underlies human cognitive function. Generative mechanisms for this architecture have been difficult to identify in part because little is known in general about mechanistic drivers of structured networks. Here we contrast network properties derived from diffusion spectrum imaging data of the human brain with 13 synthetic network models chosen to probe the roles of physical network embedding and temporal network growth. We characterize both the empirical and synthetic networks using familiar graph metrics, but presented here in a more complete statistical form, as scatter plots and distributions, to reveal the full range of variability of each measure across scales in the network. We focus specifically on the degree distribution, degree assortativity, hierarchy, topological Rentian scaling, and topological fractal scaling--in addition to several summary statistics, including the mean clustering coefficient, the shortest path-length, and the network diameter. The models are investigated in a progressive, branching sequence, aimed at capturing different elements thought to be important in the brain, and range from simple random and regular networks, to models that incorporate specific growth rules and constraints. We find that synthetic models that constrain the network nodes to be physically embedded in anatomical brain regions tend to produce distributions that are most similar to the corresponding measurements for the brain. We also find that network models hardcoded to display one network property (e.g., assortativity do not in general simultaneously display a second (e.g., hierarchy. This relative independence of network properties suggests that multiple neurobiological mechanisms might be at play in the development of human brain network architecture. Together, the network models that we develop and employ provide a potentially useful

A Biomimetic Structural Form: Developing a Paradigm to Attain Vital Sustainability in Tall Architecture

OpenAIRE

Osama Al-Sehail

2017-01-01

This paper argues for sustainability as a necessity in the evolution of tall architecture. It provides a different mode for dealing with sustainability in tall architecture, taking into consideration the speciality of its typology. To this end, the article develops a Biomimetic Structural Form as a paradigm to attain Vital Sustainability. A Biomimetic Structural Form, which is derived from the amalgamation of biomimicry as an approach for sustainability defining nature as source of knowledge ...

Capital Architecture: Situating symbolism parallel to architectural methods and technology

Science.gov (United States)

Daoud, Bassam

Capital Architecture is a symbol of a nation's global presence and the cultural and social focal point of its inhabitants. Since the advent of High-Modernism in Western cities, and subsequently decolonised capitals, civic architecture no longer seems to be strictly grounded in the philosophy that national buildings shape the legacy of government and the way a nation is regarded through its built environment. Amidst an exceedingly globalized architectural practice and with the growing concern of key heritage foundations over the shortcomings of international modernism in representing its immediate socio-cultural context, the contextualization of public architecture within its sociological, cultural and economic framework in capital cities became the key denominator of this thesis. Civic architecture in capital cities is essential to confront the challenges of symbolizing a nation and demonstrating the legitimacy of the government'. In today's dominantly secular Western societies, governmental architecture, especially where the seat of political power lies, is the ultimate form of architectural expression in conveying a sense of identity and underlining a nation's status. Departing with these convictions, this thesis investigates the embodied symbolic power, the representative capacity, and the inherent permanence in contemporary architecture, and in its modes of production. Through a vast study on Modern architectural ideals and heritage -- in parallel to methodologies -- the thesis stimulates the future of large scale governmental building practices and aims to identify and index the key constituents that may respond to the lack representation in civic architecture in capital cities.

Software architecture evolution

DEFF Research Database (Denmark)

Barais, Olivier; Le Meur, Anne-Francoise; Duchien, Laurence

2008-01-01

Software architectures must frequently evolve to cope with changing requirements, and this evolution often implies integrating new concerns. Unfortunately, when the new concerns are crosscutting, existing architecture description languages provide little or no support for this kind of evolution....... The software architect must modify multiple elements of the architecture manually, which risks introducing inconsistencies. This chapter provides an overview, comparison and detailed treatment of the various state-of-the-art approaches to describing and evolving software architectures. Furthermore, we discuss...... one particular framework named Tran SAT, which addresses the above problems of software architecture evolution. Tran SAT provides a new element in the software architecture descriptions language, called an architectural aspect, for describing new concerns and their integration into an existing...

Brain inspired high performance electronics on flexible silicon

KAUST Repository

Sevilla, Galo T.

2014-06-01

Brain\\'s stunning speed, energy efficiency and massive parallelism makes it the role model for upcoming high performance computation systems. Although human brain components are a million times slower than state of the art silicon industry components [1], they can perform 1016 operations per second while consuming less power than an electrical light bulb. In order to perform the same amount of computation with today\\'s most advanced computers, the output of an entire power station would be needed. In that sense, to obtain brain like computation, ultra-fast devices with ultra-low power consumption will have to be integrated in extremely reduced areas, achievable only if brain folded structure is mimicked. Therefore, to allow brain-inspired computation, flexible and transparent platform will be needed to achieve foldable structures and their integration on asymmetric surfaces. In this work, we show a new method to fabricate 3D and planar FET architectures in flexible and semitransparent silicon fabric without comprising performance and maintaining cost/yield advantage offered by silicon-based electronics.

Generalisation, decision making, and embodiment effects in mental rotation: A neurorobotic architecture tested with a humanoid robot.

Science.gov (United States)

Seepanomwan, Kristsana; Caligiore, Daniele; Cangelosi, Angelo; Baldassarre, Gianluca

2015-12-01

Mental rotation, a classic experimental paradigm of cognitive psychology, tests the capacity of humans to mentally rotate a seen object to decide if it matches a target object. In recent years, mental rotation has been investigated with brain imaging techniques to identify the brain areas involved. Mental rotation has also been investigated through the development of neural-network models, used to identify the specific mechanisms that underlie its process, and with neurorobotics models to investigate its embodied nature. Current models, however, have limited capacities to relate to neuro-scientific evidence, to generalise mental rotation to new objects, to suitably represent decision making mechanisms, and to allow the study of the effects of overt gestures on mental rotation. The work presented in this study overcomes these limitations by proposing a novel neurorobotic model that has a macro-architecture constrained by knowledge held on brain, encompasses a rather general mental rotation mechanism, and incorporates a biologically plausible decision making mechanism. The model was tested using the humanoid robot iCub in tasks requiring the robot to mentally rotate 2D geometrical images appearing on a computer screen. The results show that the robot gained an enhanced capacity to generalise mental rotation to new objects and to express the possible effects of overt movements of the wrist on mental rotation. The model also represents a further step in the identification of the embodied neural mechanisms that may underlie mental rotation in humans and might also give hints to enhance robots' planning capabilities. Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

Knowledge engineering tools for reasoning with scientific observations and interpretations: a neural connectivity use case.

Science.gov (United States)

Russ, Thomas A; Ramakrishnan, Cartic; Hovy, Eduard H; Bota, Mihail; Burns, Gully A P C

2011-08-22

We address the goal of curating observations from published experiments in a generalizable form; reasoning over these observations to generate interpretations and then querying this interpreted knowledge to supply the supporting evidence. We present web-application software as part of the 'BioScholar' project (R01-GM083871) that fully instantiates this process for a well-defined domain: using tract-tracing experiments to study the neural connectivity of the rat brain. The main contribution of this work is to provide the first instantiation of a knowledge representation for experimental observations called 'Knowledge Engineering from Experimental Design' (KEfED) based on experimental variables and their interdependencies. The software has three parts: (a) the KEfED model editor - a design editor for creating KEfED models by drawing a flow diagram of an experimental protocol; (b) the KEfED data interface - a spreadsheet-like tool that permits users to enter experimental data pertaining to a specific model; (c) a 'neural connection matrix' interface that presents neural connectivity as a table of ordinal connection strengths representing the interpretations of tract-tracing data. This tool also allows the user to view experimental evidence pertaining to a specific connection. BioScholar is built in Flex 3.5. It uses Persevere (a noSQL database) as a flexible data store and PowerLoom® (a mature First Order Logic reasoning system) to execute queries using spatial reasoning over the BAMS neuroanatomical ontology. We first introduce the KEfED approach as a general approach and describe its possible role as a way of introducing structured reasoning into models of argumentation within new models of scientific publication. We then describe the design and implementation of our example application: the BioScholar software. This is presented as a possible biocuration interface and supplementary reasoning toolkit for a larger, more specialized bioinformatics system: the Brain

Research and application of knowledge resources network for product innovation.

Science.gov (United States)

Li, Chuan; Li, Wen-qiang; Li, Yan; Na, Hui-zhen; Shi, Qian

2015-01-01

In order to enhance the capabilities of knowledge service in product innovation design service platform, a method of acquiring knowledge resources supporting for product innovation from the Internet and providing knowledge active push is proposed. Through knowledge modeling for product innovation based on ontology, the integrated architecture of knowledge resources network is put forward. The technology for the acquisition of network knowledge resources based on focused crawler and web services is studied. Knowledge active push is provided for users by user behavior analysis and knowledge evaluation in order to improve users' enthusiasm for participation in platform. Finally, an application example is illustrated to prove the effectiveness of the method.

Strategies for the architectural firm : risk- and flexibility management at Wiegerinck Architecten

NARCIS (Netherlands)

Berning, C.C.X.; Steeneken, J.; Goossens, T.J.P.; Kamminga, A.B.G.

2006-01-01

Wiegerinck Architecten (WA) is an integral architectural office, specialized in hospital buildings. WA wants to have a strategic competitive advantage over their competitors in the hospital building sector. They want to create a competitive strategic advantage through improving both their knowledge

CRIS and the GRIDs Architecture

Directory of Open Access Journals (Sweden)

K Jeffery

2010-04-01

Full Text Available The end-user demands low effort threshold access to systems providing e-information, e-business, and e-entertainment. Innovators and entrepreneurs require also equally low-energy access to heterogeneous information homogenised to a form and language familiar to them. On top of that, decision-makers, whether in a control room or government strategic planning, demand equally easy access to information that is statistically or inductively enhanced to knowledge and access to modelling or simulation systems to allow 'what if?' requests. Researchers and technical workers have an additional requirement for rapid integration of information with statistical, induction, modelling, and simulation systems to generate and verify hypotheses so generating data and information, to be used by others, which in turn advances knowledge. Access is required, and can now be provided, anytime, anyhow, anywhere through ambient computing technology. A new paradigm, GRIDs, provides the architectural framework.

Architecture Governance: The Importance of Architecture Governance for Achieving Operationally Responsive Ground Systems

Science.gov (United States)

Kolar, Mike; Estefan, Jeff; Giovannoni, Brian; Barkley, Erik

2011-01-01

Topics covered (1) Why Governance and Why Now? (2) Characteristics of Architecture Governance (3) Strategic Elements (3a) Architectural Principles (3b) Architecture Board (3c) Architecture Compliance (4) Architecture Governance Infusion Process. Governance is concerned with decision making (i.e., setting directions, establishing standards and principles, and prioritizing investments). Architecture governance is the practice and orientation by which enterprise architectures and other architectures are managed and controlled at an enterprise-wide level

Neuroscience, virtual reality and neurorehabilitation: brain repair as a validation of brain theory.

Science.gov (United States)

Verschure, Paul F M J

2011-01-01

This paper argues that basing cybertherapy approaches on a theoretical understanding of the brain has advantages. On one hand it provides for a rational approach towards therapy design while on the other allowing for a direct validation of brain theory in the clinic. As an example this paper discusses how the Distributed Adaptive Control architecture, a theory of mind, brain and action, has given rise to a new paradigm in neurorehabilitation called the Rehabilitation Gaming System (RGS) and to novel neuroprosthetic systems. The neuroprosthetic system considered is developed to replace the function of cerebellar micro-circuits, expresses core aspects of the learning systems of DAC and has been successfully tested in in-vivo experiments. The Virtual reality based rehabilitation paradigm of RGS has been validated in the treatment of acute and chronic stroke and has been shown to be more effective than existing methods. RGS provides a foundation for integrated at-home therapy systems that can operate largely autonomously when also augmented with appropriate physiological monitoring and diagnostic devices. These examples provide first steps towards a science based medicine.

Minimalism in architecture: Architecture as a language of its identity

Directory of Open Access Journals (Sweden)

Vasilski Dragana

2012-01-01

Full Text Available Every architectural work is created on the principle that includes the meaning, and then this work is read like an artifact of the particular meaning. Resources by which the meaning is built primarily, susceptible to transformation, as well as routing of understanding (decoding messages carried by a work of architecture, are subject of semiotics and communication theories, which have played significant role for the architecture and the architect. Minimalism in architecture, as a paradigm of the XXI century architecture, means searching for essence located in the irreducible minimum. Inspired use of architectural units (archetypical elements, trough the fatasm of simplicity, assumes the primary responsibility for providing the object identity, because it participates in language formation and therefore in its reading. Volume is form by clean language that builds the expression of the fluid areas liberated of recharge needs. Reduced architectural language is appropriating to the age marked by electronic communications.

Architectural Narratives

DEFF Research Database (Denmark)

Kiib, Hans

2010-01-01

a functional framework for these concepts, but tries increasingly to endow the main idea of the cultural project with a spatially aesthetic expression - a shift towards “experience architecture.” A great number of these projects typically recycle and reinterpret narratives related to historical buildings......In this essay, I focus on the combination of programs and the architecture of cultural projects that have emerged within the last few years. These projects are characterized as “hybrid cultural projects,” because they intend to combine experience with entertainment, play, and learning. This essay...... and architectural heritage; another group tries to embed new performative technologies in expressive architectural representation. Finally, this essay provides a theoretical framework for the analysis of the political rationales of these projects and for the architectural representation bridges the gap between...

Software architecture for an indigenous knowledge management system

CSIR Research Space (South Africa)

Fogwill, T

2011-11-01

Full Text Available in technological land- scape. It preserves IK in a digital form that remains acces- sible to the original IK holders. It does so by recording and archiving audio/visual content that captures, to the extent possible, the oral, visual and performed aspects of IK...-end (described in section 6.2). The knowledge repository and the Fedora technology at its core are described in this section. The DKR stores and maintains digital audio/visual record- ings of the captured IK. While these audio/visual record- ings may...

Urban Knowledge Arena

Directory of Open Access Journals (Sweden)

Karel Schmeidler

2008-01-01

Full Text Available COST Action C20 – Urban Knowledge Arena is research programme supported by European Co-operation in the Field of Scientific and Technical Research. It is co-ordinated by COST Office and European Science Foundation. The main objective of this Action is to explore and develop a European Arena for cross boundary, integrated knowledge and Know-how on complex urban problems, which is termed Urban Knowledge Arena. The COST Domain Transport and Urban Development aims at fostering international research networking activities of scientist and experts dealing with transport systems and infrastructures, spatial planning, urban land use and development, urban design, architecture and design and civil engineering issues. The focus is on multi and interdisciplinary approaches and the aim is to cover both basic and applied research activities and their changeovers that are relevant to policy and decision making processes. A significant concern is devoted to activities exploring new research needs and developments.

Your resting brain CAREs about your risky behavior.

Directory of Open Access Journals (Sweden)

Christine L Cox

2010-08-01

Full Text Available Research on the neural correlates of risk-related behaviors and personality traits has provided insight into mechanisms underlying both normal and pathological decision-making. Task-based neuroimaging studies implicate a distributed network of brain regions in risky decision-making. What remains to be understood are the interactions between these regions and their relation to individual differences in personality variables associated with real-world risk-taking.We employed resting state functional magnetic resonance imaging (R-fMRI and resting state functional connectivity (RSFC methods to investigate differences in the brain's intrinsic functional architecture associated with beliefs about the consequences of risky behavior. We obtained an individual measure of expected benefit from engaging in risky behavior, indicating a risk seeking or risk-averse personality, for each of 21 participants from whom we also collected a series of R-fMRI scans. The expected benefit scores were entered in statistical models assessing the RSFC of brain regions consistently implicated in both the evaluation of risk and reward, and cognitive control (i.e., orbitofrontal cortex, nucleus accumbens, lateral prefrontal cortex, dorsal anterior cingulate. We specifically focused on significant brain-behavior relationships that were stable across R-fMRI scans collected one year apart. Two stable expected benefit-RSFC relationships were observed: decreased expected benefit (increased risk-aversion was associated with 1 stronger positive functional connectivity between right inferior frontal gyrus (IFG and right insula, and 2 weaker negative functional connectivity between left nucleus accumbens and right parieto-occipital cortex.Task-based activation in the IFG and insula has been associated with risk-aversion, while activation in the nucleus accumbens and parietal cortex has been associated with both risk seeking and risk-averse tendencies. Our results suggest that

Deep Neural Architectures for Mapping Scalp to Intracranial EEG.

Science.gov (United States)

Antoniades, Andreas; Spyrou, Loukianos; Martin-Lopez, David; Valentin, Antonio; Alarcon, Gonzalo; Sanei, Saeid; Took, Clive Cheong

2018-03-19

Data is often plagued by noise which encumbers machine learning of clinically useful biomarkers and electroencephalogram (EEG) data is no exemption. Intracranial EEG (iEEG) data enhances the training of deep learning models of the human brain, yet is often prohibitive due to the invasive recording process. A more convenient alternative is to record brain activity using scalp electrodes. However, the inherent noise associated with scalp EEG data often impedes the learning process of neural models, achieving substandard performance. Here, an ensemble deep learning architecture for nonlinearly mapping scalp to iEEG data is proposed. The proposed architecture exploits the information from a limited number of joint scalp-intracranial recording to establish a novel methodology for detecting the epileptic discharges from the sEEG of a general population of subjects. Statistical tests and qualitative analysis have revealed that the generated pseudo-intracranial data are highly correlated with the true intracranial data. This facilitated the detection of IEDs from the scalp recordings where such waveforms are not often visible. As a real-world clinical application, these pseudo-iEEGs are then used by a convolutional neural network for the automated classification of intracranial epileptic discharges (IEDs) and non-IED of trials in the context of epilepsy analysis. Although the aim of this work was to circumvent the unavailability of iEEG and the limitations of sEEG, we have achieved a classification accuracy of 68% an increase of 6% over the previously proposed linear regression mapping.

The architecture of a distributed medical dictionary.

Science.gov (United States)

Fowler, J; Buffone, G; Moreau, D

1995-01-01

Exploiting high-speed computer networks to provide a national medical information infrastructure is a goal for medical informatics. The Distributed Medical Dictionary under development at Baylor College of Medicine is a model for an architecture that supports collaborative development of a distributed online medical terminology knowledge-base. A prototype is described that illustrates the concept. Issues that must be addressed by such a system include high availability, acceptable response time, support for local idiom, and control of vocabulary.

An intelligent service-based layered architecture for e learning and assessment

International Nuclear Information System (INIS)

Javaid, Q.; Arif, F.

2017-01-01

The rapid advancement in ICT (Information and Communication Technology) is causing a paradigm shift in eLearning domain. Traditional eLearning systems suffer from certain shortcomings like tight coupling of system components, lack of personalization, flexibility, and scalability and performance issues. This study aims at addressing these challenges through an MAS (Multi Agent System) based multi-layer architecture supported by web services. The foremost objective of this study is to enhance learning process efficiency by provision of flexibility features for learning and assessment processes. Proposed architecture consists of two sub-system namely eLearning and eAssesssment. This architecture comprises of five distinct layers for each sub-system, with active agents responsible for miscellaneous tasks including content handling, updating, resource optimization, load handling and provision of customized environments for learners and instructors. Our proposed architecture aims at establishment of a facilitation level to learners as well as instructors for convenient acquisition and dissemination of knowledge. Personalization features like customized environments, personalized content retrieval and recommendations, adaptive assessment and reduced response time, are believed to significantly enhance learning and tutoring experience. In essence characteristics like intelligence, personalization, interactivity, usability, laidback accessibility and security, signify aptness of proposed architecture for improving conventional learning and assessment processes. Finally we have evaluated our proposed architecture by means of analytical comparison and survey considering certain quality attributes. (author)

Architecture & Environment

Science.gov (United States)

Erickson, Mary; Delahunt, Michael

2010-01-01

Most art teachers would agree that architecture is an important form of visual art, but they do not always include it in their curriculums. In this article, the authors share core ideas from "Architecture and Environment," a teaching resource that they developed out of a long-term interest in teaching architecture and their fascination with the…

Segmentation of medical images using explicit anatomical knowledge

Science.gov (United States)

Wilson, Laurie S.; Brown, Stephen; Brown, Matthew S.; Young, Jeanne; Li, Rongxin; Luo, Suhuai; Brandt, Lee

1999-07-01

Knowledge-based image segmentation is defined in terms of the separation of image analysis procedures and representation of knowledge. Such architecture is particularly suitable for medical image segmentation, because of the large amount of structured domain knowledge. A general methodology for the application of knowledge-based methods to medical image segmentation is described. This includes frames for knowledge representation, fuzzy logic for anatomical variations, and a strategy for determining the order of segmentation from the modal specification. This method has been applied to three separate problems, 3D thoracic CT, chest X-rays and CT angiography. The application of the same methodology to such a range of applications suggests a major role in medical imaging for segmentation methods incorporating representation of anatomical knowledge.

Exporting Humanist Architecture

DEFF Research Database (Denmark)

Nielsen, Tom

2016-01-01

The article is a chapter in the catalogue for the Danish exhibition at the 2016 Architecture Biennale in Venice. The catalogue is conceived at an independent book exploring the theme Art of Many - The Right to Space. The chapter is an essay in this anthology tracing and discussing the different...... values and ethical stands involved in the export of Danish Architecture. Abstract: Danish architecture has, in a sense, been driven by an unwritten contract between the architects and the democratic state and its institutions. This contract may be viewed as an ethos – an architectural tradition...... with inherent aesthetic and moral values. Today, however, Danish architecture is also an export commodity. That raises questions, which should be debated as openly as possible. What does it mean for architecture and architects to practice in cultures and under political systems that do not use architecture...

Knowledge management in design teams using a project website

OpenAIRE

Otter, den, A.F.H.J.; Lima, C.P

2007-01-01

In this paper the sharing of knowledge in architectural design teams using a Project Website is discussed. The results of multiple case studies, being part of a recently finished PhD research project to communication and performance of design teams using a Project Website, show that systems for sharing of knowledge in such teams are hard to change and better systems are difficult to implement for various reasons. Sharing of knowledge in such teams is important for collective understanding of ...

Fragments of Architecture

DEFF Research Database (Denmark)

Bang, Jacob Sebastian

2016-01-01

Topic 3: “Case studies dealing with the artistic and architectural work of architects worldwide, and the ties between specific artistic and architectural projects, methodologies and products”......Topic 3: “Case studies dealing with the artistic and architectural work of architects worldwide, and the ties between specific artistic and architectural projects, methodologies and products”...

Monumentality vs. everyday life: architecture's public role

Directory of Open Access Journals (Sweden)

Joaquim Manoel Guedes Sobrinho

2007-06-01

Full Text Available Conference held in Belo Horizonte, Minas Gerais, on March 18, 2006. Thoughts about architecture and the nation." Architecture is everything dealing with construction." (ARGAN, c. 1992. An object's cultural and ethical value is measured by how well it addresses demand, which in turn is related to the planet Earth, to scarce resources, and to people's survival. Architecture, its craft, and its teaching are studied from the perspective of the act, which is the art of building, to meet social, public and private demands through historical processes of power games, at a given place and time. Architecture is reduced to its essence to unveil the roots of its emergence and understand the architect's responsibilities in the new mass society, when we enter this" new popular period in history" (SANTOS; SOUZA, c1998. We suggest the following sequence of procedures as a path of knowledge and to support the free development of invention: 1 Initially assess the prospective problem to choose and study the location and the tasks of the architect, the client, society, and government; 2 identify and understand building plans for that location; 3 study the activities, flows, quantity, quality and combination of spaces resulting from the conflicting yearnings of people, in line with social needs and translated into private and public building plans; 4 graphically analyze the sectorial subsystems of areas associated according to affinities, considering their arrangement and organization in the site; 5 work on the rigorous construction of architecture, which in final analysis is matter and form; It should be pointed out that it is necessary to: 6 expand the supply of information on specific architectural problems to be addressed, and to organize the actual and effective involvement of people in the discussion of projects and works of their interest, unlike assembly and participative meetings; 7 expand opportunities to allow a greater number of architects to take part

A Study Effects Architectural Marketing Capabilities on Performance Marketing unit Based on: Morgan et al case: Past Industry in Tehran

OpenAIRE

Mohammad Reza Dalvi; Robabe Seifi

2014-01-01

Over a period of time architectural marketing capabilities combination of knowledge and skills develop in to capabilities. These architectural marketing capabilities have been identified as one of the important ways firms can achieve a competitive advantage The following research tests effects architectural marketing capabilities on performance marketing unit Based on a survey .a structural equation model was developed to test our hypotheses. the study develops a structural model linking arch...

Brain networks, structural realism, and local approaches to the scientific realism debate.

Science.gov (United States)

Yan, Karen; Hricko, Jonathon

2017-08-01

We examine recent work in cognitive neuroscience that investigates brain networks. Brain networks are characterized by the ways in which brain regions are functionally and anatomically connected to one another. Cognitive neuroscientists use various noninvasive techniques (e.g., fMRI) to investigate these networks. They represent them formally as graphs. And they use various graph theoretic techniques to analyze them further. We distinguish between knowledge of the graph theoretic structure of such networks (structural knowledge) and knowledge of what instantiates that structure (nonstructural knowledge). And we argue that this work provides structural knowledge of brain networks. We explore the significance of this conclusion for the scientific realism debate. We argue that our conclusion should not be understood as an instance of a global structural realist claim regarding the structure of the unobservable part of the world, but instead, as a local structural realist attitude towards brain networks in particular. And we argue that various local approaches to the realism debate, i.e., approaches that restrict realist commitments to particular theories and/or entities, are problematic insofar as they don't allow for the possibility of such a local structural realist attitude. Copyright © 2017 Elsevier Ltd. All rights reserved.

Enterprise architecture management

DEFF Research Database (Denmark)

Rahimi, Fatemeh; Gøtze, John; Møller, Charles

2017-01-01

Despite the growing interest in enterprise architecture management, researchers and practitioners lack a shared understanding of its applications in organizations. Building on findings from a literature review and eight case studies, we develop a taxonomy that categorizes applications of enterprise...... architecture management based on three classes of enterprise architecture scope. Organizations may adopt enterprise architecture management to help form, plan, and implement IT strategies; help plan and implement business strategies; or to further complement the business strategy-formation process....... The findings challenge the traditional IT-centric view of enterprise architecture management application and suggest enterprise architecture management as an approach that could support the consistent design and evolution of an organization as a whole....

Enterprise architecture management

DEFF Research Database (Denmark)

Rahimi, Fatemeh; Gøtze, John; Møller, Charles

2017-01-01

architecture management based on three classes of enterprise architecture scope. Organizations may adopt enterprise architecture management to help form, plan, and implement IT strategies; help plan and implement business strategies; or to further complement the business strategy-formation process......Despite the growing interest in enterprise architecture management, researchers and practitioners lack a shared understanding of its applications in organizations. Building on findings from a literature review and eight case studies, we develop a taxonomy that categorizes applications of enterprise....... The findings challenge the traditional IT-centric view of enterprise architecture management application and suggest enterprise architecture management as an approach that could support the consistent design and evolution of an organization as a whole....

Cultural schema and design activity in an architectural design studio

Directory of Open Access Journals (Sweden)

Gökçe Ketizmen Önal

2017-06-01

Full Text Available Research on the cognitive activities and on the structure and quality of knowledge flow involved in architectural design education is increasing. These studies generally focus on the interaction between student and instructor, including processes such as producing ideas, solving display problems, and integrating design strategies. These studies commonly include computational evaluations and confirmation of the coding of knowledge. They may also include the determination of designer׳s thoughts and cognitive actions of design process, as well as the analysis and digitization of verbal protocols during the design process. In most of these studies, the designer׳s cultural and psychological components are not considered. Accordingly, research on the effects of designers’ cultural schema on design activity in design studios is limited. This study aimed to solve this problem by analyzing the relationship between design activity and the designer׳s cultural schema in a design studio. We performed an experimental study based on a specific conceptual framework and a research model aimed at identifying the relationships among cultural schemas, the architectural design process, and design studios.

The discipline of architecture and freedom of spirit: Architect Ivan Antić

Directory of Open Access Journals (Sweden)

Milašinović-Marić Dijana

2005-01-01

Full Text Available Each epoch has its distinct characters who, by their talent, creativity knowledge and skills, manage to surmount the limiting context and come up as individuals. One among such creators is the architect – Ivan Antić, Member of Academy, who in his design projects and with his distinct architectural credo managed to express the ideals of time in which he was creating. His buildings – masterpieces of the Serbian modern architecture, e.g. Museum of the modern art located at Ušće in Belgrade; Museum for victims of execution in Šumarice sport arenas, public and business edifices, all of them represent unique architectural achievements. Those building forms are both functional and aesthetical, almost as a sublimate in fulfillment of content and construction requirements.

DESIGN AND “RESTORATION”: THE ROOTS OF ARCHITECTURE PORJECT FOR THE BUILT

Directory of Open Access Journals (Sweden)

C. Campanella

2017-05-01

Full Text Available It is absolutely essential now to prepare a project of pre-critical understanding of the building which will be the object of action, free from preconceived notions of value, fully committed to the implementation of a variety of useful and indispensable to determine that operating margin and freedom that each architecture has not being linked uniquely to the precise original function. This is the margin that you can leverage to implement the architectural project for the built that mutuerà inside knowledge, conservation and innovation at the same time. The binomials in the lead paragraph as all sides of the same coin that merge into one integrated design process that takes charge of design including those different styles of drafting of survey (in all aspects of an existing architecture.

Towards Intelligence and Flexibility of Learning and Knowledge Testing Environments

Directory of Open Access Journals (Sweden)

Nerijus AUKSTAKALNIS

2006-02-01