Availability verification of information for human system interface in automatic SG level control using activity diagram

Energy Technology Data Exchange (ETDEWEB)

Nuraslinda, Anuar; Kim, Dong Young; Kim, Jong Hyun [KEPCO International Nuclear Graduate School, Uljugun (Korea, Republic of)

2012-10-15

Steam Generator (SG) level control system in OPR 1000 is one of representative automatic systems that falls under the Supervisory Control level in Endsley's taxonomy. Supervisory control of automated systems is classified as a form of out of the loop (OOTL) performance due to passive involvement in the systems operation, which could lead to loss of situation awareness (SA). There was a reported event, which was caused by inadequate human automation communication that contributed to an unexpected reactor trip in July 2005. A high SG level trip occurred in Yeonggwang (YGN) Unit 6 Nuclear Power Plant (NPP) due to human operator failure to recognize the need to change the control mode of the economizer valve controller (EVC) to manual mode during swap over (the transition from low power mode to high power mode) after the loss of offsite power (LOOP) event was recovered. This paper models the human system interaction in NPP SG level control system using Unified Modeling Language (UML) Activity Diagram. Then, it identifies the missing information for operators in the OPR1000 Main Control Room (MCR) and suggests some means of improving the human system interaction.

Availability verification of information for human system interface in automatic SG level control using activity diagram

International Nuclear Information System (INIS)

Nuraslinda, Anuar; Kim, Dong Young; Kim, Jong Hyun

2012-01-01

Steam Generator (SG) level control system in OPR 1000 is one of representative automatic systems that falls under the Supervisory Control level in Endsley's taxonomy. Supervisory control of automated systems is classified as a form of out of the loop (OOTL) performance due to passive involvement in the systems operation, which could lead to loss of situation awareness (SA). There was a reported event, which was caused by inadequate human automation communication that contributed to an unexpected reactor trip in July 2005. A high SG level trip occurred in Yeonggwang (YGN) Unit 6 Nuclear Power Plant (NPP) due to human operator failure to recognize the need to change the control mode of the economizer valve controller (EVC) to manual mode during swap over (the transition from low power mode to high power mode) after the loss of offsite power (LOOP) event was recovered. This paper models the human system interaction in NPP SG level control system using Unified Modeling Language (UML) Activity Diagram. Then, it identifies the missing information for operators in the OPR1000 Main Control Room (MCR) and suggests some means of improving the human system interaction

Ensemble Manifold Rank Preserving for Acceleration-Based Human Activity Recognition.

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Tao, Dapeng; Jin, Lianwen; Yuan, Yuan; Xue, Yang

2016-06-01

With the rapid development of mobile devices and pervasive computing technologies, acceleration-based human activity recognition, a difficult yet essential problem in mobile apps, has received intensive attention recently. Different acceleration signals for representing different activities or even a same activity have different attributes, which causes troubles in normalizing the signals. We thus cannot directly compare these signals with each other, because they are embedded in a nonmetric space. Therefore, we present a nonmetric scheme that retains discriminative and robust frequency domain information by developing a novel ensemble manifold rank preserving (EMRP) algorithm. EMRP simultaneously considers three aspects: 1) it encodes the local geometry using the ranking order information of intraclass samples distributed on local patches; 2) it keeps the discriminative information by maximizing the margin between samples of different classes; and 3) it finds the optimal linear combination of the alignment matrices to approximate the intrinsic manifold lied in the data. Experiments are conducted on the South China University of Technology naturalistic 3-D acceleration-based activity dataset and the naturalistic mobile-devices based human activity dataset to demonstrate the robustness and effectiveness of the new nonmetric scheme for acceleration-based human activity recognition.

Food & Fitness. Directory. Human Nutrition Activities.

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Department of Agriculture, Washington, DC.

Activities of the following regulatory and food service agencies of the Department of Agriculture are described: (1) Agricultural Research Service; (2) Cooperative State Research Service; (3) Economic Research Service; (4) Human Nutrition Information Service; (5) Office of Grants and Program Systems; (6) Office of International Cooperation and…

Understanding the Information Requirements of Arts and Humanities Scholarship

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Agiatis Benardou

2010-07-01

Full Text Available This paper reports on research of scholarly research practices and requirements conducted in the context of the Preparing DARIAH European e-Infrastructures project, with a view to ensuring current and future fitness for purpose of the planned digital infrastructure, services and tools. It summarises the findings of earlier research, primarily from the field of human information behaviour as applied in scholarly work, it presents a conceptual perspective informed by cultural-historical activity theory, it introduces briefly a formal conceptual model for scholarly research activity compliant with CIDOC CRM, it describes the plan of work and methodology of an empirical research project based on open-questionnaire interviews with arts and humanities researchers, and presents illustrative examples of segmentation, tagging and initial conceptual analysis of the empirical evidence. Finally, it presents plans for future work, consisting, firstly, of a comprehensive re-analysis of interview segments within the framework of the scholarly research activity model, and, secondly, of the integration of this analysis with the extended digital curation process model we presented in earlier work.

Robust Indoor Human Activity Recognition Using Wireless Signals.

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Wang, Yi; Jiang, Xinli; Cao, Rongyu; Wang, Xiyang

2015-07-15

Wireless signals-based activity detection and recognition technology may be complementary to the existing vision-based methods, especially under the circumstance of occlusions, viewpoint change, complex background, lighting condition change, and so on. This paper explores the properties of the channel state information (CSI) of Wi-Fi signals, and presents a robust indoor daily human activity recognition framework with only one pair of transmission points (TP) and access points (AP). First of all, some indoor human actions are selected as primitive actions forming a training set. Then, an online filtering method is designed to make actions' CSI curves smooth and allow them to contain enough pattern information. Each primitive action pattern can be segmented from the outliers of its multi-input multi-output (MIMO) signals by a proposed segmentation method. Lastly, in online activities recognition, by selecting proper features and Support Vector Machine (SVM) based multi-classification, activities constituted by primitive actions can be recognized insensitive to the locations, orientations, and speeds.

Robust Indoor Human Activity Recognition Using Wireless Signals

Directory of Open Access Journals (Sweden)

Yi Wang

2015-07-01

Full Text Available Wireless signals–based activity detection and recognition technology may be complementary to the existing vision-based methods, especially under the circumstance of occlusions, viewpoint change, complex background, lighting condition change, and so on. This paper explores the properties of the channel state information (CSI of Wi-Fi signals, and presents a robust indoor daily human activity recognition framework with only one pair of transmission points (TP and access points (AP. First of all, some indoor human actions are selected as primitive actions forming a training set. Then, an online filtering method is designed to make actions’ CSI curves smooth and allow them to contain enough pattern information. Each primitive action pattern can be segmented from the outliers of its multi-input multi-output (MIMO signals by a proposed segmentation method. Lastly, in online activities recognition, by selecting proper features and Support Vector Machine (SVM based multi-classification, activities constituted by primitive actions can be recognized insensitive to the locations, orientations, and speeds.

Anti-complement activities of human breast-milk.

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Ogundele, M O

1999-08-01

It has long been observed that the human milk possesses significant anti-inflammatory properties, while simultaneously protecting the infant against many intestinal and respiratory pathogens. There is, however, a paucity of information on the degree and extent of this anti-inflammatory activity. In the present study, the inhibitory effects of different fractions of human milk on serum complement activity were analysed. Colostrum and milk samples from healthy voluntary lactating donors at different postpartum ages were obtained and pooled normal human serum was used as source of complement in a modified CH50 assay. Inherent complement activity in human milk was also investigated by measuring the deposition of an activated C3 fragment on a serum-sensitive bacteria, and by haemolytic assays. Most whole- and defatted-milk samples consistently showed a dose-dependent inhibition of the serum complement activity. This inhibition was greater in mature milk compared to transitional milk samples. It was enhanced by inactivation of milk complement, and diminished by centrifugation of milk samples, which partly removed fat and larger protein components including casein micelles. Inherent complement activity in human milk was also demonstrated by haemolysis of sensitised sheep erythrocytes and deposition of C3 fragments on solid-phase bacteria. These activities were highest in the colostrum and gradually decreased as lactation proceeded. Several natural components abundant in the fluid phase of the human breast-milk have been shown to be inhibitors of complement activation in vitro. Their physiological significance probably reside in their ability to prevent inflammatory-induced tissue damage of the delicate immature gastrointestinal tract of the new-born as well as the mammary gland itself, which may arise from ongoing complement activation.

Information-Psychological Security and Near-Scientific Activity

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A. I. Afonin

2017-01-01

Full Text Available In accordance with the new version of the “Information Security Doctrine of the Russian Federation (adopted in December 2016, in information security agenda its information-psychological component was selected for further study. Attention is drawn to the need to ensure the information-psychological security of certain categories of citizens, social groups and society in general, taking into account a differentiated approach to assessing threats that arise in the course of their life. The article briefly considers the science rank among the forms of the human activities and notes that when involving in science-based and science-applied activities the near-scientific activity, which is often briefly referred to as pseudoscience, shows up as one of the threats.The article presents main forms to show of the near-scientific (pseudoscientific activity, namely parascience, quasi-science, pseudoscience, and monetary scientism.Drawing on the example of one of the near-scientific activity products, called "psychotronic weapon", the article clearly shows the emergence and evolution of this pseudoscientific product, the attempts of its implementation in practice, and the subsequent negative consequences of these attempts for society.Taking into account the survivability of the near-scientific activity, it is proposed to include lectures in the curricula of technical universities to introduce threats from pseudoscience to graduates of higher educational institutions who may face them both in their employment activity and in everyday life.

Task-Relevant Information Modulates Primary Motor Cortex Activity Before Movement Onset.

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Calderon, Cristian B; Van Opstal, Filip; Peigneux, Philippe; Verguts, Tom; Gevers, Wim

2018-01-01

Monkey neurophysiology research supports the affordance competition hypothesis (ACH) proposing that cognitive information useful for action selection is integrated in sensorimotor areas. In this view, action selection would emerge from the simultaneous representation of competing action plans, in parallel biased by relevant task factors. This biased competition would take place up to primary motor cortex (M1). Although ACH is plausible in environments affording choices between actions, its relevance for human decision making is less clear. To address this issue, we designed an functional magnetic resonance imaging (fMRI) experiment modeled after monkey neurophysiology studies in which human participants processed cues conveying predictive information about upcoming button presses. Our results demonstrate that, as predicted by the ACH, predictive information (i.e., the relevant task factor) biases activity of primary motor regions. Specifically, first, activity before movement onset in contralateral M1 increases as the competition is biased in favor of a specific button press relative to activity in ipsilateral M1. Second, motor regions were more tightly coupled with fronto-parietal regions when competition between potential actions was high, again suggesting that motor regions are also part of the biased competition network. Our findings support the idea that action planning dynamics as proposed in the ACH are valid both in human and non-human primates.

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Defense Human Resources Activity > PERSEREC

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Scaling behavior of online human activity

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Zhao, Zhi-Dan; Cai, Shi-Min; Huang, Junming; Fu, Yan; Zhou, Tao

2012-11-01

The rapid development of the Internet technology enables humans to explore the web and record the traces of online activities. From the analysis of these large-scale data sets (i.e., traces), we can get insights about the dynamic behavior of human activity. In this letter, the scaling behavior and complexity of human activity in the e-commerce, such as music, books, and movies rating, are comprehensively investigated by using the detrended fluctuation analysis technique and the multiscale entropy method. Firstly, the interevent time series of rating behaviors of these three types of media show similar scaling properties with exponents ranging from 0.53 to 0.58, which implies that the collective behaviors of rating media follow a process embodying self-similarity and long-range correlation. Meanwhile, by dividing the users into three groups based on their activities (i.e., rating per unit time), we find that the scaling exponents of the interevent time series in the three groups are different. Hence, these results suggest that a stronger long-range correlations exist in these collective behaviors. Furthermore, their information complexities vary in the three groups. To explain the differences of the collective behaviors restricted to the three groups, we study the dynamic behavior of human activity at the individual level, and find that the dynamic behaviors of a few users have extremely small scaling exponents associated with long-range anticorrelations. By comparing the interevent time distributions of four representative users, we can find that the bimodal distributions may bring forth the extraordinary scaling behaviors. These results of the analysis of the online human activity in the e-commerce may not only provide insight into its dynamic behaviors but may also be applied to acquire potential economic interest.

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Human Activity Recognition as Time-Series Analysis

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Hyesuk Kim

2015-01-01

Full Text Available We propose a system that can recognize daily human activities with a Kinect-style depth camera. Our system utilizes a set of view-invariant features and the hidden state conditional random field (HCRF model to recognize human activities from the 3D body pose stream provided by MS Kinect API or OpenNI. Many high-level daily activities can be regarded as having a hierarchical structure where multiple subactivities are performed sequentially or iteratively. In order to model effectively these high-level daily activities, we utilized a multiclass HCRF model, which is a kind of probabilistic graphical models. In addition, in order to get view-invariant, but more informative features, we extract joint angles from the subject’s skeleton model and then perform the feature transformation to obtain three different types of features regarding motion, structure, and hand positions. Through various experiments using two different datasets, KAD-30 and CAD-60, the high performance of our system is verified.

Modeling and Visualization of Human Activities for Multicamera Networks

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Aswin C. Sankaranarayanan

2009-01-01

Full Text Available Multicamera networks are becoming complex involving larger sensing areas in order to capture activities and behavior that evolve over long spatial and temporal windows. This necessitates novel methods to process the information sensed by the network and visualize it for an end user. In this paper, we describe a system for modeling and on-demand visualization of activities of groups of humans. Using the prior knowledge of the 3D structure of the scene as well as camera calibration, the system localizes humans as they navigate the scene. Activities of interest are detected by matching models of these activities learnt a priori against the multiview observations. The trajectories and the activity index for each individual summarize the dynamic content of the scene. These are used to render the scene with virtual 3D human models that mimic the observed activities of real humans. In particular, the rendering framework is designed to handle large displays with a cluster of GPUs as well as reduce the cognitive dissonance by rendering realistic weather effects and illumination. We envision use of this system for immersive visualization as well as summarization of videos that capture group behavior.

Human activity recognition and prediction

CERN Document Server

2016-01-01

This book provides a unique view of human activity recognition, especially fine-grained human activity structure learning, human-interaction recognition, RGB-D data based action recognition, temporal decomposition, and causality learning in unconstrained human activity videos. The techniques discussed give readers tools that provide a significant improvement over existing methodologies of video content understanding by taking advantage of activity recognition. It links multiple popular research fields in computer vision, machine learning, human-centered computing, human-computer interaction, image classification, and pattern recognition. In addition, the book includes several key chapters covering multiple emerging topics in the field. Contributed by top experts and practitioners, the chapters present key topics from different angles and blend both methodology and application, composing a solid overview of the human activity recognition techniques. .

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2012-03-28

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Human-computer interaction and management information systems

CERN Document Server

Galletta, Dennis F

2014-01-01

""Human-Computer Interaction and Management Information Systems: Applications"" offers state-of-the-art research by a distinguished set of authors who span the MIS and HCI fields. The original chapters provide authoritative commentaries and in-depth descriptions of research programs that will guide 21st century scholars, graduate students, and industry professionals. Human-Computer Interaction (or Human Factors) in MIS is concerned with the ways humans interact with information, technologies, and tasks, especially in business, managerial, organizational, and cultural contexts. It is distinctiv

Active glass-type human augmented cognition system considering attention and intention

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Kim, Bumhwi; Ojha, Amitash; Lee, Minho

2015-10-01

Human cognition is the result of an interaction of several complex cognitive processes with limited capabilities. Therefore, the primary objective of human cognitive augmentation is to assist and expand these limited human cognitive capabilities independently or together. In this study, we propose a glass-type human augmented cognition system, which attempts to actively assist human memory functions by providing relevant, necessary and intended information by constantly assessing intention of the user. To achieve this, we exploit selective attention and intention processes. Although the system can be used in various real-life scenarios, we test the performance of the system in a person identity scenario. To detect the intended face, the system analyses the gaze points and change in pupil size to determine the intention of the user. An assessment of the gaze points and change in pupil size together indicates that the user intends to know the identity and information about the person in question. Then, the system retrieves several clues through speech recognition system and retrieves relevant information about the face, which is finally displayed through head-mounted display. We present the performance of several components of the system. Our results show that the active and relevant assistance based on users' intention significantly helps the enhancement of memory functions.

Human factors estimation methods using physiological informations

International Nuclear Information System (INIS)

Takano, Ken-ichi; Yoshino, Kenji; Nakasa, Hiroyasu

1984-01-01

To enhance the operational safety in the nuclear power plant, it is necessary to decrease abnormal phenomena due to human errors. Especially, it is essential to basically understand human behaviors under the work environment for plant maintenance workers, inspectors, and operators. On the above stand point, this paper presents the results of literature survey on the present status of human factors engineering technology applicable to the nuclear power plant and also discussed the following items: (1) Application fields where the ergonomical evaluation is needed for workers safety. (2) Basic methodology for investigating the human performance. (3) Features of the physiological information analysis among various types of ergonomical techniques. (4) Necessary conditions for the application of in-situ physiological measurement to the nuclear power plant. (5) Availability of the physiological information analysis. (6) Effectiveness of the human factors engineering methodology, especially physiological information analysis in the case of application to the nuclear power plant. The above discussions lead to the demonstration of high applicability of the physiological information analysis to nuclear power plant, in order to improve the work performance. (author)

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

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Lee, Victoria K; Harris, Lasana T

2014-12-01

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

Human machine interaction: The special role for human unconscious emotional information processing

NARCIS (Netherlands)

Noort, M.W.M.L. van den; Hugdahl, K.; Bosch, M.P.C.

2005-01-01

The nature of (un)conscious human emotional information processing remains a great mystery. On the one hand, classical models view human conscious emotional information processing as computation among the brain’s neurons but fail to address its enigmatic features. On the other hand, quantum

Training Classifiers with Shadow Features for Sensor-Based Human Activity Recognition.

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Fong, Simon; Song, Wei; Cho, Kyungeun; Wong, Raymond; Wong, Kelvin K L

2017-02-27

In this paper, a novel training/testing process for building/using a classification model based on human activity recognition (HAR) is proposed. Traditionally, HAR has been accomplished by a classifier that learns the activities of a person by training with skeletal data obtained from a motion sensor, such as Microsoft Kinect. These skeletal data are the spatial coordinates (x, y, z) of different parts of the human body. The numeric information forms time series, temporal records of movement sequences that can be used for training a classifier. In addition to the spatial features that describe current positions in the skeletal data, new features called 'shadow features' are used to improve the supervised learning efficacy of the classifier. Shadow features are inferred from the dynamics of body movements, and thereby modelling the underlying momentum of the performed activities. They provide extra dimensions of information for characterising activities in the classification process, and thereby significantly improve the classification accuracy. Two cases of HAR are tested using a classification model trained with shadow features: one is by using wearable sensor and the other is by a Kinect-based remote sensor. Our experiments can demonstrate the advantages of the new method, which will have an impact on human activity detection research.

Training Classifiers with Shadow Features for Sensor-Based Human Activity Recognition

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Simon Fong

2017-02-01

Full Text Available In this paper, a novel training/testing process for building/using a classification model based on human activity recognition (HAR is proposed. Traditionally, HAR has been accomplished by a classifier that learns the activities of a person by training with skeletal data obtained from a motion sensor, such as Microsoft Kinect. These skeletal data are the spatial coordinates (x, y, z of different parts of the human body. The numeric information forms time series, temporal records of movement sequences that can be used for training a classifier. In addition to the spatial features that describe current positions in the skeletal data, new features called ‘shadow features’ are used to improve the supervised learning efficacy of the classifier. Shadow features are inferred from the dynamics of body movements, and thereby modelling the underlying momentum of the performed activities. They provide extra dimensions of information for characterising activities in the classification process, and thereby significantly improve the classification accuracy. Two cases of HAR are tested using a classification model trained with shadow features: one is by using wearable sensor and the other is by a Kinect-based remote sensor. Our experiments can demonstrate the advantages of the new method, which will have an impact on human activity detection research.

Approach-Induced Biases in Human Information Sampling.

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Laurence T Hunt

2016-11-01

Full Text Available Information sampling is often biased towards seeking evidence that confirms one's prior beliefs. Despite such biases being a pervasive feature of human behavior, their underlying causes remain unclear. Many accounts of these biases appeal to limitations of human hypothesis testing and cognition, de facto evoking notions of bounded rationality, but neglect more basic aspects of behavioral control. Here, we investigated a potential role for Pavlovian approach in biasing which information humans will choose to sample. We collected a large novel dataset from 32,445 human subjects, making over 3 million decisions, who played a gambling task designed to measure the latent causes and extent of information-sampling biases. We identified three novel approach-related biases, formalized by comparing subject behavior to a dynamic programming model of optimal information gathering. These biases reflected the amount of information sampled ("positive evidence approach", the selection of which information to sample ("sampling the favorite", and the interaction between information sampling and subsequent choices ("rejecting unsampled options". The prevalence of all three biases was related to a Pavlovian approach-avoid parameter quantified within an entirely independent economic decision task. Our large dataset also revealed that individual differences in the amount of information gathered are a stable trait across multiple gameplays and can be related to demographic measures, including age and educational attainment. As well as revealing limitations in cognitive processing, our findings suggest information sampling biases reflect the expression of primitive, yet potentially ecologically adaptive, behavioral repertoires. One such behavior is sampling from options that will eventually be chosen, even when other sources of information are more pertinent for guiding future action.

Combining users' activity survey and simulators to evaluate human activity recognition systems.

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Azkune, Gorka; Almeida, Aitor; López-de-Ipiña, Diego; Chen, Liming

2015-04-08

Evaluating human activity recognition systems usually implies following expensive and time-consuming methodologies, where experiments with humans are run with the consequent ethical and legal issues. We propose a novel evaluation methodology to overcome the enumerated problems, which is based on surveys for users and a synthetic dataset generator tool. Surveys allow capturing how different users perform activities of daily living, while the synthetic dataset generator is used to create properly labelled activity datasets modelled with the information extracted from surveys. Important aspects, such as sensor noise, varying time lapses and user erratic behaviour, can also be simulated using the tool. The proposed methodology is shown to have very important advantages that allow researchers to carry out their work more efficiently. To evaluate the approach, a synthetic dataset generated following the proposed methodology is compared to a real dataset computing the similarity between sensor occurrence frequencies. It is concluded that the similarity between both datasets is more than significant.

Combining Users’ Activity Survey and Simulators to Evaluate Human Activity Recognition Systems

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Gorka Azkune

2015-04-01

Full Text Available Evaluating human activity recognition systems usually implies following expensive and time-consuming methodologies, where experiments with humans are run with the consequent ethical and legal issues. We propose a novel evaluation methodology to overcome the enumerated problems, which is based on surveys for users and a synthetic dataset generator tool. Surveys allow capturing how different users perform activities of daily living, while the synthetic dataset generator is used to create properly labelled activity datasets modelled with the information extracted from surveys. Important aspects, such as sensor noise, varying time lapses and user erratic behaviour, can also be simulated using the tool. The proposed methodology is shown to have very important advantages that allow researchers to carry out their work more efficiently. To evaluate the approach, a synthetic dataset generated following the proposed methodology is compared to a real dataset computing the similarity between sensor occurrence frequencies. It is concluded that the similarity between both datasets is more than significant.

Combining Users' Activity Survey and Simulators to Evaluate Human Activity Recognition Systems

Science.gov (United States)

Azkune, Gorka; Almeida, Aitor; López-de-Ipiña, Diego; Chen, Liming

2015-01-01

Evaluating human activity recognition systems usually implies following expensive and time-consuming methodologies, where experiments with humans are run with the consequent ethical and legal issues. We propose a novel evaluation methodology to overcome the enumerated problems, which is based on surveys for users and a synthetic dataset generator tool. Surveys allow capturing how different users perform activities of daily living, while the synthetic dataset generator is used to create properly labelled activity datasets modelled with the information extracted from surveys. Important aspects, such as sensor noise, varying time lapses and user erratic behaviour, can also be simulated using the tool. The proposed methodology is shown to have very important advantages that allow researchers to carry out their work more efficiently. To evaluate the approach, a synthetic dataset generated following the proposed methodology is compared to a real dataset computing the similarity between sensor occurrence frequencies. It is concluded that the similarity between both datasets is more than significant. PMID:25856329

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2011-01-26

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2011-05-31

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Multimodal Information Presentation for High-Load Human Computer Interaction

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Cao, Y.

2011-01-01

This dissertation addresses multimodal information presentation in human computer interaction. Information presentation refers to the manner in which computer systems/interfaces present information to human users. More specifically, the focus of our work is not on which information to present, but

The dependence of human reliability upon task information content

International Nuclear Information System (INIS)

Hermanson, E.M.; Golay, M.W.

1994-09-01

The role of human error in safety mishaps is an important factor in system design. As systems become increasingly complex the capacity of the human to deal with the added complexity is diminished. It is therefore crucial to understand the relationship between system complexity and human reliability so that systems may be built in such a way as to minimize human error. One way of understanding this relationship is to quantify system complexity and then measure the human reaction in response to situations of varying complexity. The quantification of system complexity may be performed by determining the information content present in the tasks that the human must execute. The purpose of this work is therefore to build and perform a consistent experiment which will determine the extent to which human reliability depends upon task information content. Two main conclusions may be drawn from this work. The first is that human reliability depends upon task information content. Specifically, as the information content contained in a task increases, the capacity of a human to deal successfully with the task decreases monotonically. Here the definition of total success is the ability to complete the task at hand fully and correctly. Furthermore, there exists a value of information content below which a human can deal with the task successfully, but above which the success of an individual decreases monotonically with increasing information. These ideas should be generalizable to any model where system complexity can be clearly and consistently defined

Human Spaceflight. Activities for the Primary Student. Aerospace Education Services Project.

Science.gov (United States)

Hartsfield, John W.; Hartsfield, Kendra J.

Since its beginning, the space program has caught the attention of young people. This space science activity booklet was designed to provide information and learning activities for students in elementary grades. It contains chapters on: (1) primitive beliefs about flight; (2) early fantasies of flight; (3) the United States human spaceflight…

75 FR 81616 - Agency Information Collection Activities; Submission for Office of Management and Budget Review...

Science.gov (United States)

2010-12-28

.... FOR FURTHER INFORMATION CONTACT: Daniel Gittleson, Office of Information Management, Food and Drug... DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration [Docket No. FDA-2010-N-0447] Agency Information Collection Activities; Submission for Office of Management and Budget Review; Comment...

77 FR 66620 - Agency Information Collection Activities; Submission for Office of Management and Budget Review...

Science.gov (United States)

2012-11-06

.... FOR FURTHER INFORMATION CONTACT: Ila S. Mizrachi, Office of Information Management, Food and Drug... DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration [Docket No. FDA-2012-N-0748] Agency Information Collection Activities; Submission for Office of Management and Budget Review; Comment...

Human-Computer Interaction and Information Management Research Needs

Data.gov (United States)

Networking and Information Technology Research and Development, Executive Office of the President — In a visionary future, Human-Computer Interaction HCI and Information Management IM have the potential to enable humans to better manage their lives through the use...

HuAc: Human Activity Recognition Using Crowdsourced WiFi Signals and Skeleton Data

Directory of Open Access Journals (Sweden)

Linlin Guo

2018-01-01

Full Text Available The joint of WiFi-based and vision-based human activity recognition has attracted increasing attention in the human-computer interaction, smart home, and security monitoring fields. We propose HuAc, the combination of WiFi-based and Kinect-based activity recognition system, to sense human activity in an indoor environment with occlusion, weak light, and different perspectives. We first construct a WiFi-based activity recognition dataset named WiAR to provide a benchmark for WiFi-based activity recognition. Then, we design a mechanism of subcarrier selection according to the sensitivity of subcarriers to human activities. Moreover, we optimize the spatial relationship of adjacent skeleton joints and draw out a corresponding relationship between CSI and skeleton-based activity recognition. Finally, we explore the fusion information of CSI and crowdsourced skeleton joints to achieve the robustness of human activity recognition. We implemented HuAc using commercial WiFi devices and evaluated it in three kinds of scenarios. Our results show that HuAc achieves an average accuracy of greater than 93% using WiAR dataset.

Information Systems and the Humanities: A Symbiotic Relationship?

OpenAIRE

Kroeze, JH

2009-01-01

The lecture explores the nature of the relationship between the study fields of Information Systems and the humanities. Although literature on Humanities Computing states in principle that there is a bi-directional, beneficial symbiotic relationship, most studies and reflections investigate only the application of information technology in the humanities. This suggests that the relation is commensalistic rather that mutualistic. However, studies do exist that implement theor...

77 FR 9949 - Agency Information Collection Activities: Proposed Collection: Comment Request

Science.gov (United States)

2012-02-21

... privacy and security of health information. The intent of RHITND is to support the adoption and use of electronic health records (EHR) in coordination with the ongoing HHS activities related to the Health... DEPARTMENT OF HEALTH AND HUMAN SERVICES Health Resources and Services Administration Agency...

75 FR 82406 - Agency Information Collection Activities; Announcement of Office of Management and Budget...

Science.gov (United States)

2010-12-30

...: Denver Presley, Jr., Office of Information Management, Food and Drug Administration, 1350 Piccard Dr... DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration [Docket No. FDA-2010-N-0356] Agency Information Collection Activities; Announcement of Office of Management and Budget Approval...

76 FR 1168 - Agency Information Collection Activities; Proposed Collection; Comment Request; Health and Diet...

Science.gov (United States)

2011-01-07

... Supplement will include: (1) Awareness and sources of information, (2) attitudes toward diet and physical... DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration [Docket No. FDA-2011-N-0001] Agency Information Collection Activities; Proposed Collection; Comment Request; Health and Diet Survey...

Active solar information dissemination activities

Energy Technology Data Exchange (ETDEWEB)

NONE

1998-07-01

The principal objective of the project has been the development of an information dissemination strategy for the UK active solar heating industry. The project has also aimed to prepare the industry for the implementation of such a strategy and to produce initial information materials to support the early stages of the implementation process. (author)

The Consolidated Human Activity Database — Master Version (CHAD-Master) Technical Memorandum

Science.gov (United States)

This technical memorandum contains information about the Consolidated Human Activity Database -- Master version, including CHAD contents, inventory of variables: Questionnaire files and Event files, CHAD codes, and references.

A Review of Human Activity Recognition Methods

Directory of Open Access Journals (Sweden)

Michalis eVrigkas

2015-11-01

Full Text Available Recognizing human activities from video sequences or still images is a challenging task due to problems such as background clutter, partial occlusion, changes in scale, viewpoint, lighting, and appearance. Many applications, including video surveillance systems, human-computer interaction, and robotics for human behavior characterization, require a multiple activity recognition system. In this work, we provide a detailed review of recent and state-of-the-art research advances in the field of human activity classification. We propose a categorization of human activity methodologies and discuss their advantages and limitations. In particular, we divide human activity classification methods into two large categories according to whether they use data from different modalities or not. Then, each of these categories is further analyzed into sub-categories, which reflect how they model human activities and what type of activities they are interested in. Moreover, we provide a comprehensive analysis of the existing, publicly available human activity classification datasets and examine the requirements for an ideal human activity recognition dataset. Finally, we report the characteristics of future research directions and present some open issues on human activity recognition.

Evolution of Biotechnology and Information Technology and Its Impact on Human Security

Directory of Open Access Journals (Sweden)

Elena S. Zinovieva

2015-01-01

Full Text Available Abstract: The development of post-industrial society initiates profound economic, technological and cultural change in the way of life of all mankind. The revolutionary breakthroughs in the field of new technologies such as biotechnology and information technology are reflected in all spheres of human activity, directly affecting the human security. The article analyzes the consequences of widespread usage biotechnology and information technology in the foreign policy practice on the basis of the human security theory. The detailed description of the main directions of the use of biometric technology in the foreign policy and consular practices is provided, the challenges and threats to information security associated with biometrics are analyzed, arising from widespread biotechnology are the main challenges and threats to as well as human security threats arising at the present stage of development and application of these technologies. Human security threats associated with the use of biotechnology are placed in the broader context of global trends in scientific and technological development. The recommendations are formulated in the field of foreign policy and international cooperation, which would neutralize new threats to international and personal safety arising at the present stage of development of biotechnology. The authors conclude that in order to ensure ethical regulation of new technologies that address issues of human security, it is necessary to organize multi-stakeholder partnerships at national and international level with the participation of states, representatives of civil society, business and the research community.

76 FR 70461 - Agency Information Collection Activities; Announcement of Office of Management and Budget...

Science.gov (United States)

2011-11-14

... Capezzuto, Office of Information Management, Food and Drug Administration, 1350 Piccard Dr., PI50-400B... DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration [Docket No. FDA-2011-N-0015] Agency Information Collection Activities; Announcement of Office of Management and Budget Approval...

Human-Assisted Machine Information Exploitation: a crowdsourced investigation of information-based problem solving

Science.gov (United States)

Kase, Sue E.; Vanni, Michelle; Caylor, Justine; Hoye, Jeff

2017-05-01

The Human-Assisted Machine Information Exploitation (HAMIE) investigation utilizes large-scale online data collection for developing models of information-based problem solving (IBPS) behavior in a simulated time-critical operational environment. These types of environments are characteristic of intelligence workflow processes conducted during human-geo-political unrest situations when the ability to make the best decision at the right time ensures strategic overmatch. The project takes a systems approach to Human Information Interaction (HII) by harnessing the expertise of crowds to model the interaction of the information consumer and the information required to solve a problem at different levels of system restrictiveness and decisional guidance. The design variables derived from Decision Support Systems (DSS) research represent the experimental conditions in this online single-player against-the-clock game where the player, acting in the role of an intelligence analyst, is tasked with a Commander's Critical Information Requirement (CCIR) in an information overload scenario. The player performs a sequence of three information processing tasks (annotation, relation identification, and link diagram formation) with the assistance of `HAMIE the robot' who offers varying levels of information understanding dependent on question complexity. We provide preliminary results from a pilot study conducted with Amazon Mechanical Turk (AMT) participants on the Volunteer Science scientific research platform.

78 FR 60287 - Agency Information Collection Activities; Proposed Collection; Comment Request; Testing...

Science.gov (United States)

2013-10-01

... communication strategies, messages, and labels. These communications will aim to improve public understanding of... DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration [Docket No. FDA-2013-N-1164] Agency Information Collection Activities; Proposed Collection; Comment Request; Testing Communications on...

75 FR 51271 - Agency Information Collection Activities; Proposed Collection; Comment Request; Testing...

Science.gov (United States)

2010-08-19

... communication strategies, messages, and labels. These communications will aim to improve public understanding of... DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration [Docket No. FDA-2010-N-0420] Agency Information Collection Activities; Proposed Collection; Comment Request; Testing Communications on...

Human vision is determined based on information theory

Science.gov (United States)

Delgado-Bonal, Alfonso; Martín-Torres, Javier

2016-11-01

It is commonly accepted that the evolution of the human eye has been driven by the maximum intensity of the radiation emitted by the Sun. However, the interpretation of the surrounding environment is constrained not only by the amount of energy received but also by the information content of the radiation. Information is related to entropy rather than energy. The human brain follows Bayesian statistical inference for the interpretation of visual space. The maximization of information occurs in the process of maximizing the entropy. Here, we show that the photopic and scotopic vision absorption peaks in humans are determined not only by the intensity but also by the entropy of radiation. We suggest that through the course of evolution, the human eye has not adapted only to the maximum intensity or to the maximum information but to the optimal wavelength for obtaining information. On Earth, the optimal wavelengths for photopic and scotopic vision are 555 nm and 508 nm, respectively, as inferred experimentally. These optimal wavelengths are determined by the temperature of the star (in this case, the Sun) and by the atmospheric composition.

Influence of Fragrances on Human Psychophysiological Activity: With Special Reference to Human Electroencephalographic Response

Directory of Open Access Journals (Sweden)

Kandhasamy Sowndhararajan

2016-11-01

Full Text Available The influence of fragrances such as perfumes and room fresheners on the psychophysiological activities of humans has been known for a long time, and its significance is gradually increasing in the medicinal and cosmetic industries. A fragrance consists of volatile chemicals with a molecular weight of less than 300 Da that humans perceive through the olfactory system. In humans, about 300 active olfactory receptor genes are devoted to detecting thousands of different fragrance molecules through a large family of olfactory receptors of a diverse protein sequence. The sense of smell plays an important role in the physiological effects of mood, stress, and working capacity. Electrophysiological studies have revealed that various fragrances affected spontaneous brain activities and cognitive functions, which are measured by an electroencephalograph (EEG. The EEG is a good temporal measure of responses in the central nervous system and it provides information about the physiological state of the brain both in health and disease. The EEG power spectrum is classified into different frequency bands such as delta (0.5–4 Hz, theta (4–8 Hz, alpha (8–13 Hz, beta (13–30 Hz and gamma (30–50 Hz, and each band is correlated with different features of brain states. A quantitative EEG uses computer software to provide the topographic mapping of the brain activity in frontal, temporal, parietal and occipital brain regions. It is well known that decreases of alpha and beta activities and increases of delta and theta activities are associated with brain pathology and general cognitive decline. In the last few decades, many scientific studies were conducted to investigate the effect of inhalation of aroma on human brain functions. The studies have suggested a significant role for olfactory stimulation in the alteration of cognition, mood, and social behavior. This review aims to evaluate the available literature regarding the influence of fragrances on the

Influence of Fragrances on Human Psychophysiological Activity: With Special Reference to Human Electroencephalographic Response

Science.gov (United States)

Sowndhararajan, Kandhasamy; Kim, Songmun

2016-01-01

The influence of fragrances such as perfumes and room fresheners on the psychophysiological activities of humans has been known for a long time, and its significance is gradually increasing in the medicinal and cosmetic industries. A fragrance consists of volatile chemicals with a molecular weight of less than 300 Da that humans perceive through the olfactory system. In humans, about 300 active olfactory receptor genes are devoted to detecting thousands of different fragrance molecules through a large family of olfactory receptors of a diverse protein sequence. The sense of smell plays an important role in the physiological effects of mood, stress, and working capacity. Electrophysiological studies have revealed that various fragrances affected spontaneous brain activities and cognitive functions, which are measured by an electroencephalograph (EEG). The EEG is a good temporal measure of responses in the central nervous system and it provides information about the physiological state of the brain both in health and disease. The EEG power spectrum is classified into different frequency bands such as delta (0.5–4 Hz), theta (4–8 Hz), alpha (8–13 Hz), beta (13–30 Hz) and gamma (30–50 Hz), and each band is correlated with different features of brain states. A quantitative EEG uses computer software to provide the topographic mapping of the brain activity in frontal, temporal, parietal and occipital brain regions. It is well known that decreases of alpha and beta activities and increases of delta and theta activities are associated with brain pathology and general cognitive decline. In the last few decades, many scientific studies were conducted to investigate the effect of inhalation of aroma on human brain functions. The studies have suggested a significant role for olfactory stimulation in the alteration of cognition, mood, and social behavior. This review aims to evaluate the available literature regarding the influence of fragrances on the

Evaluation of Circle Diameter by Distributed Tactile Information in Active Tracing

Directory of Open Access Journals (Sweden)

Hiroyuki Nakamoto

2013-01-01

Full Text Available Active touch with voluntary movement on the surface of an object is important for human to obtain the local and detailed features on it. In addition, the active touch is considered to enhance the human spatial resolution. In order to improve dexterity performance of multifinger robotic hands, it is necessary to study an active touch method for robotic hands. In this paper, first, we define four requirements of a tactile sensor for active touch and design a distributed tactile sensor model, which can measure a distribution of compressive deformation. Second, we suggest a measurement process with the sensor model, a synthesis method of distributed deformations. In the experiments, a five-finger robotic hand with tactile sensors traces on the surface of cylindrical objects and evaluates the diameters. We confirm that the hand can obtain more information of the diameters by tracing the finger.

Conceptual models of information processing

Science.gov (United States)

Stewart, L. J.

1983-01-01

The conceptual information processing issues are examined. Human information processing is defined as an active cognitive process that is analogous to a system. It is the flow and transformation of information within a human. The human is viewed as an active information seeker who is constantly receiving, processing, and acting upon the surrounding environmental stimuli. Human information processing models are conceptual representations of cognitive behaviors. Models of information processing are useful in representing the different theoretical positions and in attempting to define the limits and capabilities of human memory. It is concluded that an understanding of conceptual human information processing models and their applications to systems design leads to a better human factors approach.

A Generalized Model for Indoor Location Estimation Using Environmental Sound from Human Activity Recognition

Directory of Open Access Journals (Sweden)

Carlos E. Galván-Tejada

2018-02-01

Full Text Available The indoor location of individuals is a key contextual variable for commercial and assisted location-based services and applications. Commercial centers and medical buildings (e.g., hospitals require location information of their users/patients to offer the services that are needed at the correct moment. Several approaches have been proposed to tackle this problem. In this paper, we present the development of an indoor location system which relies on the human activity recognition approach, using sound as an information source to infer the indoor location based on the contextual information of the activity that is realized at the moment. In this work, we analyze the sound information to estimate the location using the contextual information of the activity. A feature extraction approach to the sound signal is performed to feed a random forest algorithm in order to generate a model to estimate the location of the user. We evaluate the quality of the resulting model in terms of sensitivity and specificity for each location, and we also perform out-of-bag error estimation. Our experiments were carried out in five representative residential homes. Each home had four individual indoor rooms. Eleven activities (brewing coffee, cooking, eggs, taking a shower, etc. were performed to provide the contextual information. Experimental results show that developing an indoor location system (ILS that uses contextual information from human activities (identified with data provided from the environmental sound can achieve an estimation that is 95% correct.

Technology and Research Requirements for Combating Human Trafficking: Enhancing Communication, Analysis, Reporting, and Information Sharing

Energy Technology Data Exchange (ETDEWEB)

Kreyling, Sean J.; West, Curtis L.; Olson, Jarrod

2011-03-17

DHS’ Science & Technology Directorate directed PNNL to conduct an exploratory study on the domain of human trafficking in the Pacific Northwest in order to examine and identify technology and research requirements for enhancing communication, analysis, reporting, and information sharing – activities that directly support efforts to track, identify, deter, and prosecute human trafficking – including identification of potential national threats from smuggling and trafficking networks. This effort was conducted under the Knowledge Management Technologies Portfolio as part of the Integrated Federal, State, and Local/Regional Information Sharing (RISC) and Collaboration Program.

Persistent neural activity in auditory cortex is related to auditory working memory in humans and nonhuman primates.

Science.gov (United States)

Huang, Ying; Matysiak, Artur; Heil, Peter; König, Reinhard; Brosch, Michael

2016-07-20

Working memory is the cognitive capacity of short-term storage of information for goal-directed behaviors. Where and how this capacity is implemented in the brain are unresolved questions. We show that auditory cortex stores information by persistent changes of neural activity. We separated activity related to working memory from activity related to other mental processes by having humans and monkeys perform different tasks with varying working memory demands on the same sound sequences. Working memory was reflected in the spiking activity of individual neurons in auditory cortex and in the activity of neuronal populations, that is, in local field potentials and magnetic fields. Our results provide direct support for the idea that temporary storage of information recruits the same brain areas that also process the information. Because similar activity was observed in the two species, the cellular bases of some auditory working memory processes in humans can be studied in monkeys.

78 FR 27969 - Agency Information Collection Activities; Submission for Office of Management and Budget Review...

Science.gov (United States)

2013-05-13

... CONTACT: Jonna Capezzuto, Office of Information Management, Food and Drug Administration, 1350 Piccard Dr... DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration [Docket No. FDA-2012-N-1131] Agency Information Collection Activities; Submission for Office of Management and Budget Review; Comment...

75 FR 22597 - Agency Information Collection Activities; Submission for Office of Management and Budget Review...

Science.gov (United States)

2010-04-29

... CONTACT: Elizabeth Berbakos, Office of Information Management, Food and Drug Administration, 1350 Piccard... DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration [Docket No. Docket No. FDA-2009-N-0506] Agency Information Collection Activities; Submission for Office of Management and Budget...

76 FR 10605 - Agency Information Collection Activities; Submission for Office of Management and Budget Review...

Science.gov (United States)

2011-02-25

... CONTACT: Johnny Vilela, Office of Information Management, Food and Drug Administration, 1350 Piccard Dr... DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration [Docket No. FDA-2010-N-0597] Agency Information Collection Activities; Submission for Office of Management and Budget Review; Comment...

76 FR 20680 - Agency Information Collection Activities; Submission for Office of Management and Budget Review...

Science.gov (United States)

2011-04-13

... CONTACT: Elizabeth Berbakos, Office of Information Management, Food and Drug Administration, 1350 Piccard... DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration [Docket No. FDA-2010-N-0627] Agency Information Collection Activities; Submission for Office of Management and Budget Review; Comment...

75 FR 39952 - Agency Information Collection Activities; Proposed Collection; Comment Request; Testing...

Science.gov (United States)

2010-07-13

... communications will aim to improve public understanding of the risks and benefits of using medical devices and... DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration [Docket No. FDA-2010-N-0344] Agency Information Collection Activities; Proposed Collection; Comment Request; Testing Communications on...

Human Information Behaviour and Design, Development and Evaluation of Information Retrieval Systems

Science.gov (United States)

Keshavarz, Hamid

2008-01-01

Purpose: The purpose of this paper is to introduce the concept of human information behaviour and to explore the relationship between information behaviour of users and the existing approaches dominating design and evaluation of information retrieval (IR) systems and also to describe briefly new design and evaluation methods in which extensive…

Human and Citizen Rights Guarantees While Providing Information Security

Directory of Open Access Journals (Sweden)

Serhii Yesimov

2018-05-01

Full Text Available With the development of information and communication technologies, issues of providing information security are becoming more and more aggravated. These are crimes related to the use of electronic computers, systems and computer networks and telecommunication networks, the propaganda of separatism and extremism, etc. While providing information security in the digital environment, the role of technical and legal human rights guarantees, due to technical means of protection, is increasing. Relying on the developers of technical means of protection determines the difference between the aforesaid concepts and the traditional approach to ensuring the protection of human and citizen rights, in which responsibilities are put on information intermediaries, owners of confidential information. Technical guarantees of human rights are a necessary component of ensuring information security, but the effectiveness of the application is provided in conjunction with the legal guarantees of human rights, as evidenced by the tendency to recognize the principles of inviolability of privacy on the basis of design decisions in the law of the European Union as legal acts. Providing information security is a legitimate goal of establishing constraints of human rights, since it can be correlated with the norms of international law. The establishment of constraints of human rights is permissible in order to attain other objectives–ensuring state security, public order, health, rights and freedoms of the person in the information sphere. The legitimacy of this goal is determined by its compliance with the objectives envisaged by international agreements ratified in an established order. The article examines the impact of the use of technical means in the field of providing information security in the aspect of following the fundamental human and civil rights in Ukraine, taking into account the legislation of the European Union and the decision of the European Court

77 FR 24961 - Agency Information Collection Activities; Submission for Office of Management and Budget Review...

Science.gov (United States)

2012-04-26

... Vilela, Office of Information Management, Food and Drug Administration, 1350 Piccard Dr., PI50-400B... DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration [Docket No. FDA-2011-N-0902] Agency Information Collection Activities; Submission for Office of Management and Budget Review; Comment...

77 FR 64523 - Agency Information Collection Activities; Submission for Office of Management and Budget Review...

Science.gov (United States)

2012-10-22

..., Office of Information Management, Food and Drug Administration, 1350 Piccard Dr., PI50-400B, Rockville... DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration [Docket No. FDA-2012-N-0471] Agency Information Collection Activities; Submission for Office of Management and Budget Review; Comment...

77 FR 41984 - Agency Information Collection Activities; Submission for Office of Management and Budget Review...

Science.gov (United States)

2012-07-17

... II, Office of Information Management, Food and Drug Administration, 1350 Piccard Dr., PI50-400B... DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration [Docket No. FDA-2011-N-0708] Agency Information Collection Activities; Submission for Office of Management and Budget Review; Comment...

78 FR 33847 - Agency Information Collection Activities; Submission for Office of Management and Budget Review...

Science.gov (United States)

2013-06-05

... CONTACT: Ila S. Mizrachi, Office of Information Management, Food and Drug Administration, 1350 Piccard Dr... DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration [Docket No. FDA-2013-N-0172] Agency Information Collection Activities; Submission for Office of Management and Budget Review; Comment...

75 FR 49495 - Agency Information Collection Activities; Submission for Office of Management and Budget Review...

Science.gov (United States)

2010-08-13

...: Elizabeth Berbakos, Office of Information Management, Food and Drug Administration, 1350 Piccard Dr., PI50... DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration [Docket No. FDA-2010-N-0248] Agency Information Collection Activities; Submission for Office of Management and Budget Review; Comment...

78 FR 42960 - Agency Information Collection Activities; Submission for Office of Management and Budget Review...

Science.gov (United States)

2013-07-18

.... Mizrachi, Office of Information Management, Food and Drug Administration, 1350 Piccard Dr., PI50-400B... DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration [Docket No. FDA-2013-N-0242] Agency Information Collection Activities; Submission for Office of Management and Budget Review; Comment...

75 FR 39531 - Agency Information Collection Activities; Submission for Office of Management and Budget Review...

Science.gov (United States)

2010-07-09

...: Elizabeth Berbakos, Office of Information Management, Food and Drug Administration, 1350 Piccard Dr., PI50... DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration [Docket No. FDA-2010-N-0174] Agency Information Collection Activities; Submission for Office of Management and Budget Review; Comment...

The mutualistic relationship between information systems and the humanities

OpenAIRE

Kroeze, Jan H

2010-01-01

The paper explores the nature of the relationship between the study fields of Information Systems and the humanities. Although literature on Humanities Computing states in principle that there is a bidirectional, beneficial symbiotic relationship, most studies and reflections investigate only the application of information technology in the humanities. This implies that the relation is commensalistic rather that multualistic. However, studies do exist that implement theoretical constructs bor...

Estimation of human emotions using thermal facial information

Science.gov (United States)

Nguyen, Hung; Kotani, Kazunori; Chen, Fan; Le, Bac

2014-01-01

In recent years, research on human emotion estimation using thermal infrared (IR) imagery has appealed to many researchers due to its invariance to visible illumination changes. Although infrared imagery is superior to visible imagery in its invariance to illumination changes and appearance differences, it has difficulties in handling transparent glasses in the thermal infrared spectrum. As a result, when using infrared imagery for the analysis of human facial information, the regions of eyeglasses are dark and eyes' thermal information is not given. We propose a temperature space method to correct eyeglasses' effect using the thermal facial information in the neighboring facial regions, and then use Principal Component Analysis (PCA), Eigen-space Method based on class-features (EMC), and PCA-EMC method to classify human emotions from the corrected thermal images. We collected the Kotani Thermal Facial Emotion (KTFE) database and performed the experiments, which show the improved accuracy rate in estimating human emotions.

76 FR 40374 - Agency Information Collection Activities; Submission for Office of Management and Budget Review...

Science.gov (United States)

2011-07-08

... Information Management, Food and Drug Administration, 1350 Piccard Dr., PI50-400B, Rockville, MD 20850, 301... DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration [Docket No. FDA-2011-N-0237] Agency Information Collection Activities; Submission for Office of Management and Budget Review; Comment...

77 FR 38303 - Agency Information Collection Activities; Submission for Office of Management and Budget Review...

Science.gov (United States)

2012-06-27

... Information Management, Food and Drug Administration, 1350 Piccard Dr., PI50-400B, Rockville, MD 20850, 301... DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration [Docket No. FDA-2012-N-0253] Agency Information Collection Activities; Submission for Office of Management and Budget Review; Comment...

76 FR 59139 - Agency Information Collection Activities; Submission for Office of Management and Budget Review...

Science.gov (United States)

2011-09-23

... Information Management, Food and Drug Administration, 1350 Piccard Dr., PI50-400B, Rockville, MD 20850, 301... DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration [Docket No. FDA-2011-N-0481] Agency Information Collection Activities; Submission for Office of Management and Budget Review; Comment...

Prediction of Human Activity by Discovering Temporal Sequence Patterns.

Science.gov (United States)

Li, Kang; Fu, Yun

2014-08-01

Early prediction of ongoing human activity has become more valuable in a large variety of time-critical applications. To build an effective representation for prediction, human activities can be characterized by a complex temporal composition of constituent simple actions and interacting objects. Different from early detection on short-duration simple actions, we propose a novel framework for long -duration complex activity prediction by discovering three key aspects of activity: Causality, Context-cue, and Predictability. The major contributions of our work include: (1) a general framework is proposed to systematically address the problem of complex activity prediction by mining temporal sequence patterns; (2) probabilistic suffix tree (PST) is introduced to model causal relationships between constituent actions, where both large and small order Markov dependencies between action units are captured; (3) the context-cue, especially interactive objects information, is modeled through sequential pattern mining (SPM), where a series of action and object co-occurrence are encoded as a complex symbolic sequence; (4) we also present a predictive accumulative function (PAF) to depict the predictability of each kind of activity. The effectiveness of our approach is evaluated on two experimental scenarios with two data sets for each: action-only prediction and context-aware prediction. Our method achieves superior performance for predicting global activity classes and local action units.

Context-dependent spatially periodic activity in the human entorhinal cortex.

Science.gov (United States)

Nadasdy, Zoltan; Nguyen, T Peter; Török, Ágoston; Shen, Jason Y; Briggs, Deborah E; Modur, Pradeep N; Buchanan, Robert J

2017-04-25

The spatially periodic activity of grid cells in the entorhinal cortex (EC) of the rodent, primate, and human provides a coordinate system that, together with the hippocampus, informs an individual of its location relative to the environment and encodes the memory of that location. Among the most defining features of grid-cell activity are the 60° rotational symmetry of grids and preservation of grid scale across environments. Grid cells, however, do display a limited degree of adaptation to environments. It remains unclear if this level of environment invariance generalizes to human grid-cell analogs, where the relative contribution of visual input to the multimodal sensory input of the EC is significantly larger than in rodents. Patients diagnosed with nontractable epilepsy who were implanted with entorhinal cortical electrodes performing virtual navigation tasks to memorized locations enabled us to investigate associations between grid-like patterns and environment. Here, we report that the activity of human entorhinal cortical neurons exhibits adaptive scaling in grid period, grid orientation, and rotational symmetry in close association with changes in environment size, shape, and visual cues, suggesting scale invariance of the frequency, rather than the wavelength, of spatially periodic activity. Our results demonstrate that neurons in the human EC represent space with an enhanced flexibility relative to neurons in rodents because they are endowed with adaptive scalability and context dependency.

Analyzing the distribution of human activity space from mobile phone usage - An individual and urban-oriented study

OpenAIRE

Yuan Y.; Raubal M.

2016-01-01

Travel activities are embodied as people’s needs to be physically present at certain locations. The development of Information and Communication Technologies (ICTs such as mobile phones) has introduced new data sources for modeling human activities. Based on the scattered spatiotemporal points provided in mobile phone datasets it is feasible to study the patterns (e.g. the scale shape and regularity) of human activities. In this paper we propose methods for analyzing the distribution of human...

Modelling large scale human activity in San Francisco

Science.gov (United States)

Gonzalez, Marta

2010-03-01

Diverse group of people with a wide variety of schedules, activities and travel needs compose our cities nowadays. This represents a big challenge for modeling travel behaviors in urban environments; those models are of crucial interest for a wide variety of applications such as traffic forecasting, spreading of viruses, or measuring human exposure to air pollutants. The traditional means to obtain knowledge about travel behavior is limited to surveys on travel journeys. The obtained information is based in questionnaires that are usually costly to implement and with intrinsic limitations to cover large number of individuals and some problems of reliability. Using mobile phone data, we explore the basic characteristics of a model of human travel: The distribution of agents is proportional to the population density of a given region, and each agent has a characteristic trajectory size contain information on frequency of visits to different locations. Additionally we use a complementary data set given by smart subway fare cards offering us information about the exact time of each passenger getting in or getting out of the subway station and the coordinates of it. This allows us to uncover the temporal aspects of the mobility. Since we have the actual time and place of individual's origin and destination we can understand the temporal patterns in each visited location with further details. Integrating two described data set we provide a dynamical model of human travels that incorporates different aspects observed empirically.

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2013-09-18

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Brain Activity and Human Unilateral Chewing

Science.gov (United States)

Quintero, A.; Ichesco, E.; Myers, C.; Schutt, R.; Gerstner, G.E.

2012-01-01

Brain mechanisms underlying mastication have been studied in non-human mammals but less so in humans. We used functional magnetic resonance imaging (fMRI) to evaluate brain activity in humans during gum chewing. Chewing was associated with activations in the cerebellum, motor cortex and caudate, cingulate, and brainstem. We also divided the 25-second chew-blocks into 5 segments of equal 5-second durations and evaluated activations within and between each of the 5 segments. This analysis revealed activation clusters unique to the initial segment, which may indicate brain regions involved with initiating chewing. Several clusters were uniquely activated during the last segment as well, which may represent brain regions involved with anticipatory or motor events associated with the end of the chew-block. In conclusion, this study provided evidence for specific brain areas associated with chewing in humans and demonstrated that brain activation patterns may dynamically change over the course of chewing sequences. PMID:23103631

ActivityNet: A Large-Scale Video Benchmark for Human Activity Understanding

KAUST Repository

Heilbron, Fabian Caba

2015-06-02

In spite of many dataset efforts for human action recognition, current computer vision algorithms are still severely limited in terms of the variability and complexity of the actions that they can recognize. This is in part due to the simplicity of current benchmarks, which mostly focus on simple actions and movements occurring on manually trimmed videos. In this paper we introduce ActivityNet, a new largescale video benchmark for human activity understanding. Our benchmark aims at covering a wide range of complex human activities that are of interest to people in their daily living. In its current version, ActivityNet provides samples from 203 activity classes with an average of 137 untrimmed videos per class and 1.41 activity instances per video, for a total of 849 video hours. We illustrate three scenarios in which ActivityNet can be used to compare algorithms for human activity understanding: untrimmed video classification, trimmed activity classification and activity detection.

ActivityNet: A Large-Scale Video Benchmark for Human Activity Understanding

KAUST Repository

Heilbron, Fabian Caba; Castillo, Victor; Ghanem, Bernard; Niebles, Juan Carlos

2015-01-01

In spite of many dataset efforts for human action recognition, current computer vision algorithms are still severely limited in terms of the variability and complexity of the actions that they can recognize. This is in part due to the simplicity of current benchmarks, which mostly focus on simple actions and movements occurring on manually trimmed videos. In this paper we introduce ActivityNet, a new largescale video benchmark for human activity understanding. Our benchmark aims at covering a wide range of complex human activities that are of interest to people in their daily living. In its current version, ActivityNet provides samples from 203 activity classes with an average of 137 untrimmed videos per class and 1.41 activity instances per video, for a total of 849 video hours. We illustrate three scenarios in which ActivityNet can be used to compare algorithms for human activity understanding: untrimmed video classification, trimmed activity classification and activity detection.

Incorporating Duration Information in Activity Recognition

Science.gov (United States)

Chaurasia, Priyanka; Scotney, Bryan; McClean, Sally; Zhang, Shuai; Nugent, Chris

Activity recognition has become a key issue in smart home environments. The problem involves learning high level activities from low level sensor data. Activity recognition can depend on several variables; one such variable is duration of engagement with sensorised items or duration of intervals between sensor activations that can provide useful information about personal behaviour. In this paper a probabilistic learning algorithm is proposed that incorporates episode, time and duration information to determine inhabitant identity and the activity being undertaken from low level sensor data. Our results verify that incorporating duration information consistently improves the accuracy.

A Human-Robot Co-Manipulation Approach Based on Human Sensorimotor Information.

Science.gov (United States)

Peternel, Luka; Tsagarakis, Nikos; Ajoudani, Arash

2017-07-01

This paper aims to improve the interaction and coordination between the human and the robot in cooperative execution of complex, powerful, and dynamic tasks. We propose a novel approach that integrates online information about the human motor function and manipulability properties into the hybrid controller of the assistive robot. Through this human-in-the-loop framework, the robot can adapt to the human motor behavior and provide the appropriate assistive response in different phases of the cooperative task. We experimentally evaluate the proposed approach in two human-robot co-manipulation tasks that require specific complementary behavior from the two agents. Results suggest that the proposed technique, which relies on a minimum degree of task-level pre-programming, can achieve an enhanced physical human-robot interaction performance and deliver appropriate level of assistance to the human operator.

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Assessing habitat risk from human activities to inform coastal and marine spatial planning: a demonstration in Belize

International Nuclear Information System (INIS)

Arkema, Katie K; Wood, Spencer A; Ruckelshaus, Mary; Verutes, Gregory; Rosenthal, Amy; Bernhardt, Joanna R; Clarke, Chantalle; Rosado, Samir; Canto, Maritza; McField, Melanie; De Zegher, Joann

2014-01-01

Integrated coastal and ocean management requires transparent and accessible approaches for understanding the influence of human activities on marine environments. Here we introduce a model for assessing the combined risk to habitats from multiple ocean uses. We apply the model to coral reefs, mangrove forests and seagrass beds in Belize to inform the design of the country’s first Integrated Coastal Zone Management (ICZM) Plan. Based on extensive stakeholder engagement, review of existing legislation and data collected from diverse sources, we map the current distribution of coastal and ocean activities and develop three scenarios for zoning these activities in the future. We then estimate ecosystem risk under the current and three future scenarios. Current levels of risk vary spatially among the nine coastal planning regions in Belize. Empirical tests of the model are strong—three-quarters of the measured data for coral reef health lie within the 95% confidence interval of interpolated model data and 79% of the predicted mangrove occurrences are associated with observed responses. The future scenario that harmonizes conservation and development goals results in a 20% reduction in the area of high-risk habitat compared to the current scenario, while increasing the extent of several ocean uses. Our results are a component of the ICZM Plan for Belize that will undergo review by the national legislature in 2015. This application of our model to marine spatial planning in Belize illustrates an approach that can be used broadly by coastal and ocean planners to assess risk to habitats under current and future management scenarios. (letter)

Action Search: Learning to Search for Human Activities in Untrimmed Videos

KAUST Repository

Alwassel, Humam

2017-06-13

Traditional approaches for action detection use trimmed data to learn sophisticated action detector models. Although these methods have achieved great success at detecting human actions, we argue that huge information is discarded when ignoring the process, through which this trimmed data is obtained. In this paper, we propose Action Search, a novel approach that mimics the way people annotate activities in video sequences. Using a Recurrent Neural Network, Action Search can efficiently explore a video and determine the time boundaries during which an action occurs. Experiments on the THUMOS14 dataset reveal that our model is not only able to explore the video efficiently but also accurately find human activities, outperforming state-of-the-art methods.

Solar Energy Education. Humanities: activities and teacher's guide. Field test edition

Energy Technology Data Exchange (ETDEWEB)

1982-01-01

Activities are outlined to introduce students to information on solar energy while performing ordinary classroom work. In this teaching manual solar energy is integrated with the humanities. The activities include such things as stories, newspapers, writing assignments, and art and musical presentations all filled with energy related terms. An energy glossary is provided. (BCS)

Information processing. [in human performance

Science.gov (United States)

Wickens, Christopher D.; Flach, John M.

1988-01-01

Theoretical models of sensory-information processing by the human brain are reviewed from a human-factors perspective, with a focus on their implications for aircraft and avionics design. The topics addressed include perception (signal detection and selection), linguistic factors in perception (context provision, logical reversals, absence of cues, and order reversals), mental models, and working and long-term memory. Particular attention is given to decision-making problems such as situation assessment, decision formulation, decision quality, selection of action, the speed-accuracy tradeoff, stimulus-response compatibility, stimulus sequencing, dual-task performance, task difficulty and structure, and factors affecting multiple task performance (processing modalities, codes, and stages).

Current status and issues of nuclear human resource development/General activities of Japan nuclear human resource development network

International Nuclear Information System (INIS)

Murakami, Hiroyuki; Hino, Sadami; Tsuru, Hisanori

2013-01-01

The Japan Nuclear Human Resource Development Network (JN-HRD Net) was established in November 2010 with the aim of developing a framework for mutual cooperation and information sharing among nuclear-related organizations. Although the tasks and goals of developing human resources in the nuclear field have been shifted since the accident at the Tokyo Electric Power Company (TEPCO) Fukushima Daiichi Nuclear Power Plant, the necessity of fostering capable personnel in this field stays unchanged and the importance of our network activities has further emphasized. The meeting of JN-HRD Net was held on the 5th of February 2013, where its activities by each field were reported and views and opinions were actively exchanged between more than 90 participants. This paper briefly describes current status and issues of JN-HRD Net and its general activities conducted by the JN-HRD Net secretariat. (J.P.N.)

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

Science.gov (United States)

Sagl, Günther; Resch, Bernd; Blaschke, Thomas

2015-07-14

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

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

Science.gov (United States)

Sagl, Günther; Resch, Bernd; Blaschke, Thomas

2015-01-01

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

HUMAN ACTIVITY MONITORING USING SMARTPHONE

OpenAIRE

TOKALA, SAI SUJIT; ROKALA, RANADEEP

2014-01-01

The main aim of the project is to develop an algorithm which will classify the activity performed by a human who is carrying a smart phone. The day to day life made humans very busy at work and during daily activities, mostly elderly people who are at home have an important need to monitor their activity by others when they are alone, if they are inactive for a long time without movement, or in some situations like if they have fallen down, became unconscious for sometime or seized with a car...

Human dignity and the future of the voluntary active euthanasia debate in South Africa.

Science.gov (United States)

Jordaan, Donrich W

2017-04-25

The issue of voluntary active euthanasia was thrust into the public policy arena by the Stransham-Ford lawsuit. The High Court legalised voluntary active euthanasia - however, ostensibly only in the specific case of Mr Stransham-Ford. The Supreme Court of Appeal overturned the High Court judgment on technical grounds, not on the merits. This means that in future the courts can be approached again to consider the legalisation of voluntary active euthanasia. As such, Stransham-Ford presents a learning opportunity for both sides of the legalisation divide. In particular, conceptual errors pertaining to human dignity were made in Stransham-Ford, and can be avoided in future. In this article, I identify these errors and propose the following three corrective principles to inform future debate on the subject: (i) human dignity is violable; (ii) human suffering violates human dignity; and (iii) the 'natural' causes of suffering due to terminal illness do not exclude the application of human dignity.

Human dignity and the future of the voluntary active euthanasia debate in South Africa

Directory of Open Access Journals (Sweden)

Donrich W Jordaan

2017-05-01

Full Text Available The issue of voluntary active euthanasia was thrust into the public policy arena by the Stransham-Ford lawsuit. The High Court legalised voluntary active euthanasia – however, ostensibly only in the specific case of Mr Stransham-Ford. The Supreme Court of Appeal overturned the High Court judgment on technical grounds, not on the merits. This means that in future the courts can be approached again to consider the legalisation of voluntary active euthanasia. As such, Stransham-Ford presents a learning opportunity for both sides of the legalisation divide. In particular, conceptual errors pertaining to human dignity were made in Stransham-Ford, and can be avoided in future. In this article, I identify these errors and propose the following three corrective principles to inform future debate on the subject: (i human dignity is violable; (ii human suffering violates human dignity; and (iii the ‘natural’ causes of suffering due to terminal illness do not exclude the application of human dignity.

Human Identification at a Distance Using Body Shape Information

International Nuclear Information System (INIS)

Rashid, N K A M; Yahya, M F; Shafie, A A

2013-01-01

Shape of human body is unique from one person to another. This paper presents an intelligent system approach for human identification at a distance using human body shape information. The body features used are the head, shoulder, and trunk. Image processing techniques for detection of these body features were developed in this work. Then, the features are recognized using fuzzy logic approach and used as inputs to a recognition system based on a multilayer neural network. The developed system is only applicable for recognizing a person from its frontal view and specifically constrained to male gender to simplify the algorithm. In this research, the accuracy for human identification using the proposed method is 77.5%. Thus, it is proved that human can be identified at a distance using body shape information

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Multi-task learning with group information for human action recognition

Science.gov (United States)

Qian, Li; Wu, Song; Pu, Nan; Xu, Shulin; Xiao, Guoqiang

2018-04-01

Human action recognition is an important and challenging task in computer vision research, due to the variations in human motion performance, interpersonal differences and recording settings. In this paper, we propose a novel multi-task learning framework with group information (MTL-GI) for accurate and efficient human action recognition. Specifically, we firstly obtain group information through calculating the mutual information according to the latent relationship between Gaussian components and action categories, and clustering similar action categories into the same group by affinity propagation clustering. Additionally, in order to explore the relationships of related tasks, we incorporate group information into multi-task learning. Experimental results evaluated on two popular benchmarks (UCF50 and HMDB51 datasets) demonstrate the superiority of our proposed MTL-GI framework.

Compressed sensing method for human activity recognition using tri-axis accelerometer on mobile phone

Institute of Scientific and Technical Information of China (English)

Song Hui; Wang Zhongmin

2017-01-01

The diversity in the phone placements of different mobile users' dailylife increases the difficulty of recognizing human activities by using mobile phone accelerometer data.To solve this problem,a compressed sensing method to recognize human activities that is based on compressed sensing theory and utilizes both raw mobile phone accelerometer data and phone placement information is proposed.First,an over-complete dictionary matrix is constructed using sufficient raw tri-axis acceleration data labeled with phone placement information.Then,the sparse coefficient is evaluated for the samples that need to be tested by resolving L1 minimization.Finally,residual values are calculated and the minimum value is selected as the indicator to obtain the recognition results.Experimental results show that this method can achieve a recognition accuracy reaching 89.86％,which is higher than that of a recognition method that does not adopt the phone placement information for the recognition process.The recognition accuracy of the proposed method is effective and satisfactory.

Impact of familiarity on information complexity in human-computer interfaces

Directory of Open Access Journals (Sweden)

Bakaev Maxim

2016-01-01

Full Text Available A quantitative measure of information complexity remains very much desirable in HCI field, since it may aid in optimization of user interfaces, especially in human-computer systems for controlling complex objects. Our paper is dedicated to exploration of subjective (subject-depended aspect of the complexity, conceptualized as information familiarity. Although research of familiarity in human cognition and behaviour is done in several fields, the accepted models in HCI, such as Human Processor or Hick-Hyman’s law do not generally consider this issue. In our experimental study the subjects performed search and selection of digits and letters, whose familiarity was conceptualized as frequency of occurrence in numbers and texts. The analysis showed significant effect of information familiarity on selection time and throughput in regression models, although the R2 values were somehow low. Still, we hope that our results might aid in quantification of information complexity and its further application for optimizing interaction in human-machine systems.

Turn-Taking Based on Information Flow for Fluent Human-Robot Interaction

OpenAIRE

Thomaz, Andrea L.; Chao, Crystal

2011-01-01

Turn-taking is a fundamental part of human communication. Our goal is to devise a turn-taking framework for human-robot interaction that, like the human skill, represents something fundamental about interaction, generic to context or domain. We propose a model of turn-taking, and conduct an experiment with human subjects to inform this model. Our findings from this study suggest that information flow is an integral part of human floor-passing behavior. Following this, we implement autonomous ...

Active numerical model of human body for reconstruction of falls from height.

Science.gov (United States)

Milanowicz, Marcin; Kędzior, Krzysztof

2017-01-01

Falls from height constitute the largest group of incidents out of approximately 90,000 occupational accidents occurring each year in Poland. Reconstruction of the exact course of a fall from height is generally difficult due to lack of sufficient information from the accident scene. This usually results in several contradictory versions of an incident and impedes, for example, determination of the liability in a judicial process. In similar situations, in many areas of human activity, researchers apply numerical simulation. They use it to model physical phenomena to reconstruct their real course over time; e.g. numerical human body models are frequently used for investigation and reconstruction of road accidents. However, they are validated in terms of specific road traffic accidents and are considerably limited when applied to the reconstruction of other types of accidents. The objective of the study was to develop an active numerical human body model to be used for reconstruction of accidents associated with falling from height. Development of the model involved extension and adaptation of the existing Pedestrian human body model (available in the MADYMO package database) for the purposes of reconstruction of falls from height by taking into account the human reaction to the loss of balance. The model was developed by using the results of experimental tests of the initial phase of the fall from height. The active numerical human body model covering 28 sets of initial conditions related to various human reactions to the loss of balance was developed. The application of the model was illustrated by using it to reconstruct a real fall from height. From among the 28 sets of initial conditions, those whose application made it possible to reconstruct the most probable version of the incident was selected. The selection was based on comparison of the results of the reconstruction with information contained in the accident report. Results in the form of estimated

A Comprehensive Analysis on Wearable Acceleration Sensors in Human Activity Recognition.

Science.gov (United States)

Janidarmian, Majid; Roshan Fekr, Atena; Radecka, Katarzyna; Zilic, Zeljko

2017-03-07

Sensor-based motion recognition integrates the emerging area of wearable sensors with novel machine learning techniques to make sense of low-level sensor data and provide rich contextual information in a real-life application. Although Human Activity Recognition (HAR) problem has been drawing the attention of researchers, it is still a subject of much debate due to the diverse nature of human activities and their tracking methods. Finding the best predictive model in this problem while considering different sources of heterogeneities can be very difficult to analyze theoretically, which stresses the need of an experimental study. Therefore, in this paper, we first create the most complete dataset, focusing on accelerometer sensors, with various sources of heterogeneities. We then conduct an extensive analysis on feature representations and classification techniques (the most comprehensive comparison yet with 293 classifiers) for activity recognition. Principal component analysis is applied to reduce the feature vector dimension while keeping essential information. The average classification accuracy of eight sensor positions is reported to be 96.44% ± 1.62% with 10-fold evaluation, whereas accuracy of 79.92% ± 9.68% is reached in the subject-independent evaluation. This study presents significant evidence that we can build predictive models for HAR problem under more realistic conditions, and still achieve highly accurate results.

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Inflammatory aetiology of human myometrial activation tested using directed graphs.

Directory of Open Access Journals (Sweden)

2005-07-01

Full Text Available THERE ARE THREE MAIN HYPOTHESES FOR THE ACTIVATION OF THE HUMAN UTERUS AT LABOUR: functional progesterone withdrawal, inflammatory stimulation, and oxytocin receptor activation. To test these alternatives we have taken information and data from the literature to develop causal pathway models for the activation of human myometrium. The data provided quantitative RT-PCR results on key genes from samples taken before and during labour. Principal component analysis showed that pre-labour samples form a homogenous group compared to those during labour. We therefore modelled the alternative causal pathways in non-labouring samples using directed graphs and statistically compared the likelihood of the different models using structural equations and D-separation approaches. Using the computer program LISREL, inflammatory activation as a primary event was highly consistent with the data (p = 0.925, progesterone withdrawal, as a primary event, is plausible (p = 0.499, yet comparatively unlikely, oxytocin receptor mediated initiation is less compatible with the data (p = 0.091. DGraph, a software program that creates directed graphs, produced similar results (p= 0.684, p= 0.280, and p = 0.04, respectively. This outcome supports an inflammatory aetiology for human labour. Our results demonstrate the value of directed graphs in determining the likelihood of causal relationships in biology in situations where experiments are not possible.

Efficient sensor selection for active information fusion.

Science.gov (United States)

Zhang, Yongmian; Ji, Qiang

2010-06-01

In our previous paper, we formalized an active information fusion framework based on dynamic Bayesian networks to provide active information fusion. This paper focuses on a central issue of active information fusion, i.e., the efficient identification of a subset of sensors that are most decision relevant and cost effective. Determining the most informative and cost-effective sensors requires an evaluation of all the possible subsets of sensors, which is computationally intractable, particularly when information-theoretic criterion such as mutual information is used. To overcome this challenge, we propose a new quantitative measure for sensor synergy based on which a sensor synergy graph is constructed. Using the sensor synergy graph, we first introduce an alternative measure to multisensor mutual information for characterizing the sensor information gain. We then propose an approximated nonmyopic sensor selection method that can efficiently and near-optimally select a subset of sensors for active fusion. The simulation study demonstrates both the performance and the efficiency of the proposed sensor selection method.

Human genome and genetic sequencing research and informed consent

International Nuclear Information System (INIS)

Iwakawa, Mayumi

2003-01-01

On March 29, 2001, the Ethical Guidelines for Human Genome and Genetic Sequencing Research were established. They have intended to serve as ethical guidelines for all human genome and genetic sequencing research practice, for the purpose of upholding respect for human dignity and rights and enforcing use of proper methods in the pursuit of human genome and genetic sequencing research, with the understanding and cooperation of the public. The RadGenomics Project has prepared a research protocol and informed consent document that follow these ethical guidelines. We have endeavored to protect the privacy of individual information, and have established a procedure for examination of research practices by an ethics committee. Here we report our procedure in order to offer this concept to the patients. (authors)

Geo-spatial Cognition on Human's Social Activity Space Based on Multi-scale Grids

Directory of Open Access Journals (Sweden)

ZHAI Weixin

2016-12-01

Full Text Available Widely applied location aware devices, including mobile phones and GPS receivers, have provided great convenience for collecting large volume individuals' geographical information. The researches on the human's society behavior space has attracts an increasingly number of researchers. In our research, based on location-based Flickr data From 2004 to May, 2014 in China, we choose five levels of spatial grids to form the multi-scale frame for investigate the correlation between the scale and the geo-spatial cognition on human's social activity space. The HT-index is selected as the fractal inspired by Alexander to estimate the maturity of the society activity on different scales. The results indicate that that the scale characteristics are related to the spatial cognition to a certain extent. It is favorable to use the spatial grid as a tool to control scales for geo-spatial cognition on human's social activity space.

Creating new library services through collaboration with resident groups : Aimimg at human resource development and information literacy education in ways only libraries can do : Study on activities of an NPO called Ueda Library Club

Science.gov (United States)

Morita, Utako

Creating new library services through collaboration with resident groups : Aimimg at human resource development and information literacy education in ways only libraries can do : Study on activities of an NPO called Ueda Library Club

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Information retrieval in digital environments

CERN Document Server

Dinet, Jérôme

2014-01-01

Information retrieval is a central and essential activity. It is indeed difficult to find a human activity that does not need to retrieve information in an environment which is often increasingly digital: moving and navigating, learning, having fun, communicating, informing, making a decision, etc. Most human activities are intimately linked to our ability to search quickly and effectively for relevant information, the stakes are sometimes extremely important: passing an exam, voting, finding a job, remaining autonomous, being socially connected, developing a critical spirit, or simply surviv

A re-examination of information seeking behaviour in the context of activity theory

Directory of Open Access Journals (Sweden)

Wilson T.D.

2006-01-01

Full Text Available Introduction. Activity theory, developed in the USSR as a Marxist alternative to Western psychology, has been applied widely in educational studies and increasingly in human-computer interaction research. Argument. The key elements of activity theory, Motivation, Goal, Activity, Tools, Object, Outcome, Rules, Community and Division of labour are all directly applicable to the conduct of information behaviour research. An activity-theoretical approach to information behaviour research would provide a sound basis for the elaboration of contextual issues, for the discovering of organizational and other contradictions that affect information behaviour. It may be used to aid the design and analysis of investigations. Elaboration. The basic ideas of activity theory are outlined and an attempt is made to harmonize different perspectives. A contrast is made between an activity system perspective and an activity process perspective and a diagrammatic representation of the process perspective is offered. Conclusion. Activity theory is not a predictive theory but a conceptual framework within which different theoretical perspectives may be employed. Typically, it is suggested that several methods of data collection should be employed and that the time frame for investigation should be long enough for the full range of contextual issues to emerge. Activity theory offers not only a useful conceptual framework, but also a coherent terminology to be shared by researchers, and a rapidly developing body of literature in associated disciplines.

Towards a sensor for detecting human presence and activity

OpenAIRE

Benezeth , Yannick; Laurent , Hélène; Emile , Bruno; Rosenberger , Christophe

2011-01-01

International audience; In this paper, we propose a vision-based system for human detection and tracking in indoor environment allowing to collect higher level information on people activity. The developed presence sensor based on video analysis, using a static camera is ¯rst of all presented. Composed of three main steps, the ¯rst one consists in change detection using a background model updated at di®erent levels to manage the most common variations of the environment. A moving objects trac...

77 FR 7242 - Agency Information Collection (Contract for Training and Employment): Activity Under OMB Review

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2012-02-10

... Human Resources and Housing Branch, New Executive Office Building, Room 10235, Washington, DC 20503 (202... for Training and Employment): Activity Under OMB Review AGENCY: Veterans Benefits Administration... . Please refer to ``OMB Control No. 2900-0677.'' SUPPLEMENTARY INFORMATION: Title: Contract for Training...

Implementating Information Technology in E-Human Resource Management

Directory of Open Access Journals (Sweden)

Cristina-Dana Popescu (Mitu

2016-01-01

More and more organizations have been replacing face-to-face human resource managementactivities with electronic human resource management, which is considered as one of the keyfactors that every organization needs to focus. Considering that human resource management isone of the necessary needs of today’s business, the goal of this article is to establish the importanceof human resource management (HRM, to examine recent research in e-HRM in order to evaluatethe cumulated evidence on the relationship between HRM and e-HRM and to outline the impact ofe-HRM on human resource. Many specialists underlined the fact that human resource requiresmore attention and careful management than any other resource of an organization. This paperalso deals with the influence of Internet and information technology on work and human resourcemanagement.

Listening to humans walking together activates the social brain circuitry.

Science.gov (United States)

Saarela, Miiamaaria V; Hari, Riitta

2008-01-01

Human footsteps carry a vast amount of social information, which is often unconsciously noted. Using functional magnetic resonance imaging, we analyzed brain networks activated by footstep sounds of one or two persons walking. Listening to two persons walking together activated brain areas previously associated with affective states and social interaction, such as the subcallosal gyrus bilaterally, the right temporal pole, and the right amygdala. These areas seem to be involved in the analysis of persons' identity and complex social stimuli on the basis of auditory cues. Single footsteps activated only the biological motion area in the posterior STS region. Thus, hearing two persons walking together involved a more widespread brain network than did hearing footsteps from a single person.

ASSESSMENT OF HUMAN RESOURCES FOR REGIONAL INNOVATION ACTIVITY

Directory of Open Access Journals (Sweden)

R. R. Lukyanova

2010-03-01

Full Text Available The paper deals with the issues of human resource development regarding an innovation activity. Concepts of labor and human resources have been surveyed. An integral index for assessment of human resources for regional innovation activity has been developed and assessment of the Russian regions has been made on the basis of it. Development tendencies of modern human resources for innovation activity in Russia have been revealed.

Natural Information Processing Systems

OpenAIRE

John Sweller; Susan Sweller

2006-01-01

Natural information processing systems such as biological evolution and human cognition organize information used to govern the activities of natural entities. When dealing with biologically secondary information, these systems can be specified by five common principles that we propose underlie natural information processing systems. The principles equate: (1) human long-term memory with a genome; (2) learning from other humans with biological reproduction; (3) problem solving through random ...

Brain activity related to working memory for temporal order and object information.

Science.gov (United States)

Roberts, Brooke M; Libby, Laura A; Inhoff, Marika C; Ranganath, Charan

2017-06-08

Maintaining items in an appropriate sequence is important for many daily activities; however, remarkably little is known about the neural basis of human temporal working memory. Prior work suggests that the prefrontal cortex (PFC) and medial temporal lobe (MTL), including the hippocampus, play a role in representing information about temporal order. The involvement of these areas in successful temporal working memory, however, is less clear. Additionally, it is unknown whether regions in the PFC and MTL support temporal working memory across different timescales, or at coarse or fine levels of temporal detail. To address these questions, participants were scanned while completing 3 working memory task conditions (Group, Position and Item) that were matched in terms of difficulty and the number of items to be actively maintained. Group and Position trials probed temporal working memory processes, requiring the maintenance of hierarchically organized coarse and fine temporal information, respectively. To isolate activation related to temporal working memory, Group and Position trials were contrasted against Item trials, which required detailed working memory maintenance of visual objects. Results revealed that working memory encoding and maintenance of temporal information relative to visual information was associated with increased activation in dorsolateral PFC (DLPFC), and perirhinal cortex (PRC). In contrast, maintenance of visual details relative to temporal information was characterized by greater activation of parahippocampal cortex (PHC), medial and anterior PFC, and retrosplenial cortex. In the hippocampus, a dissociation along the longitudinal axis was observed such that the anterior hippocampus was more active for working memory encoding and maintenance of visual detail information relative to temporal information, whereas the posterior hippocampus displayed the opposite effect. Posterior parietal cortex was the only region to show sensitivity to temporal

Super Normal Vector for Human Activity Recognition with Depth Cameras.

Science.gov (United States)

Yang, Xiaodong; Tian, YingLi

2017-05-01

The advent of cost-effectiveness and easy-operation depth cameras has facilitated a variety of visual recognition tasks including human activity recognition. This paper presents a novel framework for recognizing human activities from video sequences captured by depth cameras. We extend the surface normal to polynormal by assembling local neighboring hypersurface normals from a depth sequence to jointly characterize local motion and shape information. We then propose a general scheme of super normal vector (SNV) to aggregate the low-level polynormals into a discriminative representation, which can be viewed as a simplified version of the Fisher kernel representation. In order to globally capture the spatial layout and temporal order, an adaptive spatio-temporal pyramid is introduced to subdivide a depth video into a set of space-time cells. In the extensive experiments, the proposed approach achieves superior performance to the state-of-the-art methods on the four public benchmark datasets, i.e., MSRAction3D, MSRDailyActivity3D, MSRGesture3D, and MSRActionPairs3D.

Workshop on Human Activity at Scale in Earth System Models

Energy Technology Data Exchange (ETDEWEB)

Allen, Melissa R. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Aziz, H. M. Abdul [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Coletti, Mark A. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Kennedy, Joseph H. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Nair, Sujithkumar S. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Omitaomu, Olufemi A. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

2017-01-26

Changing human activity within a geographical location may have significant influence on the global climate, but that activity must be parameterized in such a way as to allow these high-resolution sub-grid processes to affect global climate within that modeling framework. Additionally, we must have tools that provide decision support and inform local and regional policies regarding mitigation of and adaptation to climate change. The development of next-generation earth system models, that can produce actionable results with minimum uncertainties, depends on understanding global climate change and human activity interactions at policy implementation scales. Unfortunately, at best we currently have only limited schemes for relating high-resolution sectoral emissions to real-time weather, ultimately to become part of larger regions and well-mixed atmosphere. Moreover, even our understanding of meteorological processes at these scales is imperfect. This workshop addresses these shortcomings by providing a forum for discussion of what we know about these processes, what we can model, where we have gaps in these areas and how we can rise to the challenge to fill these gaps.

Monetary reward activates human prefrontal cortex

International Nuclear Information System (INIS)

Thut, G.; Roelcke, U.; Nienhusmeier, M.; Missimer, J.; Maguire, R.P.; Leenders, K.L.; Schultz, W.

1997-01-01

We present a rCBF PET activation study, in which we demonstrated that reward processing in humans activates a cortical-subcortical network including dorsolateral prefrontal, orbital frontal, thalamic and midbrain regions. It is suggested that, as found for non-human primates, the basal ganglia-thalamo-cortical system is implicated in reward processing. (author) 1 fig., 3 refs

Information Concepts

CERN Document Server

Marchionini, Gary

2010-01-01

Information is essential to all human activity, and information in electronic form both amplifies and augments human information interactions. This lecture surveys some of the different classical meanings of information, focuses on the ways that electronic technologies are affecting how we think about these senses of information, and introduces an emerging sense of information that has implications for how we work, play, and interact with others. The evolutions of computers and electronic networks and people's uses and adaptations of these tools manifesting a dynamic space called cyberspace. O

A Review on Video-Based Human Activity Recognition

Directory of Open Access Journals (Sweden)

Shian-Ru Ke

2013-06-01

Full Text Available This review article surveys extensively the current progresses made toward video-based human activity recognition. Three aspects for human activity recognition are addressed including core technology, human activity recognition systems, and applications from low-level to high-level representation. In the core technology, three critical processing stages are thoroughly discussed mainly: human object segmentation, feature extraction and representation, activity detection and classification algorithms. In the human activity recognition systems, three main types are mentioned, including single person activity recognition, multiple people interaction and crowd behavior, and abnormal activity recognition. Finally the domains of applications are discussed in detail, specifically, on surveillance environments, entertainment environments and healthcare systems. Our survey, which aims to provide a comprehensive state-of-the-art review of the field, also addresses several challenges associated with these systems and applications. Moreover, in this survey, various applications are discussed in great detail, specifically, a survey on the applications in healthcare monitoring systems.

Informal Justice Systems: Charting a Course for Human Rights-Based Engagement

DEFF Research Database (Denmark)

Kerrigan, Fergus; McKay, Anne Louise; Kristiansen, Annali

engagement with informal justice systems can build greater respect and protection for human rights. It highlights the considerations that development partners should have when assessing whether to implement programmes involving informal justice systems, the primary consideration being that engagement......Providing accessible justice is a state obligation under international human rights standards, but this obligation does not require that all justice be provided through formal justice systems. If done in ways to respect and uphold human rights, the provision of justice through informal justice...... systems is not against human rights standards and can be a mechanism to enhance the fulfilment of human rights obligations by delivering accessible justice to individuals and communities where the formal justice system does not have the capacity or geographical reach. This study seeks to identify how...

77 FR 7236 - Information Collection Activities

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2012-02-10

... information to the applicant or offeror. The relevant information collections are described in more detail... available through the Federal Information Relay Service (FIRS) at 1-800-877- 8339.] Relevant STB regulations... DEPARTMENT OF TRANSPORTATION Surface Transportation Board Information Collection Activities AGENCY...

Information Presentation: Human Research Program - Space Human Factors and Habitability, Space Human Factors Engineering Project

Science.gov (United States)

Holden, Kristina L.; Sandor, Aniko; Thompson, Shelby G.; Kaiser, Mary K.; McCann, Robert S.; Begault, D. R.; Adelstein, B. D.; Beutter, B. R.; Wenzel, E. M.; Godfroy, M.;

Activities of the NEDO information center

Energy Technology Data Exchange (ETDEWEB)

NONE

1995-09-01

Under the situation where items of information related to energy and industrial technologies (including environmental technologies) are diversified and internationalized, the NEDO Information Center opens its book and data rooms, performs database service and information exchange activities with other countries, and issues information journals. These activities are intended to respond accurately and quickly to users` information needs. This paper reports the result of operations during fiscal 1994. Retained and provided for public reading at the Center are 2,200 reports on results of research and development works having been carried out by NEDO, 3,800 books and data published inside and outside Japan mainly on new energies, and 190 kinds of periodical publications. The first nationwide geothermal result charts are also reproduced and sold. Technological literature and information prepared by IEA which have been obtained based on the energy technological data exchange treaty and the implementation treaty on establishment of IEA coal research have been recorded as the NEDO-EDBS and offered on line. This paper also introduces the optical databases. The agreement on the IEA Information Centers for the Analysis and Dissemination of Demonstrated Energy Technologies (CADDET) is also available. Descriptions are given also on activities of the Greenhouse Gas Technology Information Exchange (GREENTIE).

Real-time Human Activity Recognition

Science.gov (United States)

Albukhary, N.; Mustafah, Y. M.

2017-11-01

The traditional Closed-circuit Television (CCTV) system requires human to monitor the CCTV for 24/7 which is inefficient and costly. Therefore, there’s a need for a system which can recognize human activity effectively in real-time. This paper concentrates on recognizing simple activity such as walking, running, sitting, standing and landing by using image processing techniques. Firstly, object detection is done by using background subtraction to detect moving object. Then, object tracking and object classification are constructed so that different person can be differentiated by using feature detection. Geometrical attributes of tracked object, which are centroid and aspect ratio of identified tracked are manipulated so that simple activity can be detected.

Human body contour data based activity recognition.

Science.gov (United States)

Myagmarbayar, Nergui; Yuki, Yoshida; Imamoglu, Nevrez; Gonzalez, Jose; Otake, Mihoko; Yu, Wenwei

2013-01-01

This research work is aimed to develop autonomous bio-monitoring mobile robots, which are capable of tracking and measuring patients' motions, recognizing the patients' behavior based on observation data, and providing calling for medical personnel in emergency situations in home environment. The robots to be developed will bring about cost-effective, safe and easier at-home rehabilitation to most motor-function impaired patients (MIPs). In our previous research, a full framework was established towards this research goal. In this research, we aimed at improving the human activity recognition by using contour data of the tracked human subject extracted from the depth images as the signal source, instead of the lower limb joint angle data used in the previous research, which are more likely to be affected by the motion of the robot and human subjects. Several geometric parameters, such as, the ratio of height to weight of the tracked human subject, and distance (pixels) between centroid points of upper and lower parts of human body, were calculated from the contour data, and used as the features for the activity recognition. A Hidden Markov Model (HMM) is employed to classify different human activities from the features. Experimental results showed that the human activity recognition could be achieved with a high correct rate.

Characterizing human activity induced impulse and slip-pulse excitations through structural vibration

Science.gov (United States)

Pan, Shijia; Mirshekari, Mostafa; Fagert, Jonathon; Ramirez, Ceferino Gabriel; Chung, Albert Jin; Hu, Chih Chi; Shen, John Paul; Zhang, Pei; Noh, Hae Young

2018-02-01

Many human activities induce excitations on ambient structures with various objects, causing the structures to vibrate. Accurate vibration excitation source detection and characterization enable human activity information inference, hence allowing human activity monitoring for various smart building applications. By utilizing structural vibrations, we can achieve sparse and non-intrusive sensing, unlike pressure- and vision-based methods. Many approaches have been presented on vibration-based source characterization, and they often either focus on one excitation type or have limited performance due to the dispersion and attenuation effects of the structures. In this paper, we present our method to characterize two main types of excitations induced by human activities (impulse and slip-pulse) on multiple structures. By understanding the physical properties of waves and their propagation, the system can achieve accurate excitation tracking on different structures without large-scale labeled training data. Specifically, our algorithm takes properties of surface waves generated by impulse and of body waves generated by slip-pulse into account to handle the dispersion and attenuation effects when different types of excitations happen on various structures. We then evaluate the algorithm through multiple scenarios. Our method achieves up to a six times improvement in impulse localization accuracy and a three times improvement in slip-pulse trajectory length estimation compared to existing methods that do not take wave properties into account.

A Comprehensive Analysis on Wearable Acceleration Sensors in Human Activity Recognition

Directory of Open Access Journals (Sweden)

Majid Janidarmian

2017-03-01

Full Text Available Sensor-based motion recognition integrates the emerging area of wearable sensors with novel machine learning techniques to make sense of low-level sensor data and provide rich contextual information in a real-life application. Although Human Activity Recognition (HAR problem has been drawing the attention of researchers, it is still a subject of much debate due to the diverse nature of human activities and their tracking methods. Finding the best predictive model in this problem while considering different sources of heterogeneities can be very difficult to analyze theoretically, which stresses the need of an experimental study. Therefore, in this paper, we first create the most complete dataset, focusing on accelerometer sensors, with various sources of heterogeneities. We then conduct an extensive analysis on feature representations and classification techniques (the most comprehensive comparison yet with 293 classifiers for activity recognition. Principal component analysis is applied to reduce the feature vector dimension while keeping essential information. The average classification accuracy of eight sensor positions is reported to be 96.44% ± 1.62% with 10-fold evaluation, whereas accuracy of 79.92% ± 9.68% is reached in the subject-independent evaluation. This study presents significant evidence that we can build predictive models for HAR problem under more realistic conditions, and still achieve highly accurate results.

1st Workshop on Human Factors and Activity Recognition in Healthcare, Wellness and Assisted Living: Recognise2Interact

NARCIS (Netherlands)

Casale, P.; Houben, S.; Amft, O.D.

2013-01-01

Context-aware systems have the potential to revolutionize the way humans interact with information technology. The first workshop on Human Factors and Activity Recognition in Healthcare, Wellness and Assisted Living (Recognise2Interact) aims to enable researchers and practitioners from both,

Effects of Age, Season, Gender and Urban-Rural Status on Time-Activity: Canadian Human Activity Pattern Survey 2 (CHAPS 2

Directory of Open Access Journals (Sweden)

Carlyn J. Matz

2014-02-01

Full Text Available Estimation of population exposure is a main component of human health risk assessment for environmental contaminants. Population-level exposure assessments require time-activity pattern distributions in relation to microenvironments where people spend their time. Societal trends may have influenced time-activity patterns since previous Canadian data were collected 15 years ago. The Canadian Human Activity Pattern Survey 2 (CHAPS 2 was a national survey conducted in 2010–2011 to collect time-activity information from Canadians of all ages. Five urban and two rural locations were sampled using telephone surveys. Infants and children, key groups in risk assessment activities, were over-sampled. Survey participants (n = 5,011 provided time-activity information in 24-hour recall diaries and responded to supplemental questionnaires concerning potential exposures to specific pollutants, dwelling characteristics, and socio-economic factors. Results indicated that a majority of the time was spent indoors (88.9%, most of which was indoors at home, with limited time spent outdoors (5.8% or in a vehicle (5.3%. Season, age, gender and rurality were significant predictors of time activity patterns. Compared to earlier data, adults reported spending more time indoors at home and adolescents reported spending less time outdoors, which could be indicative of broader societal trends. These findings have potentially important implications for assessment of exposure and risk. The CHAPS 2 data also provide much larger sample sizes to allow for improved precision and are more representative of infants, children and rural residents.

Effects of age, season, gender and urban-rural status on time-activity: CanadianHuman Activity Pattern Survey 2 (CHAPS 2).

Science.gov (United States)

Matz, Carlyn J; Stieb, David M; Davis, Karelyn; Egyed, Marika; Rose, Andreas; Chou, Benedito; Brion, Orly

2014-02-19

Estimation of population exposure is a main component of human health risk assessment for environmental contaminants. Population-level exposure assessments require time-activity pattern distributions in relation to microenvironments where people spend their time. Societal trends may have influenced time-activity patterns since previous Canadian data were collected 15 years ago. The Canadian Human Activity Pattern Survey 2 (CHAPS 2) was a national survey conducted in 2010-2011 to collect time-activity information from Canadians of all ages. Five urban and two rural locations were sampled using telephone surveys. Infants and children, key groups in risk assessment activities, were over-sampled. Survey participants (n = 5,011) provided time-activity information in 24-hour recall diaries and responded to supplemental questionnaires concerning potential exposures to specific pollutants, dwelling characteristics, and socio-economic factors. Results indicated that a majority of the time was spent indoors (88.9%), most of which was indoors at home, with limited time spent outdoors (5.8%) or in a vehicle (5.3%). Season, age, gender and rurality were significant predictors of time activity patterns. Compared to earlier data, adults reported spending more time indoors at home and adolescents reported spending less time outdoors, which could be indicative of broader societal trends. These findings have potentially important implications for assessment of exposure and risk. The CHAPS 2 data also provide much larger sample sizes to allow for improved precision and are more representative of infants, children and rural residents.

Effects of Age, Season, Gender and Urban-Rural Status on Time-Activity: Canadian Human Activity Pattern Survey 2 (CHAPS 2)

Science.gov (United States)

Matz, Carlyn J.; Stieb, David M.; Davis, Karelyn; Egyed, Marika; Rose, Andreas; Chou, Benedito; Brion, Orly

2014-01-01

Estimation of population exposure is a main component of human health risk assessment for environmental contaminants. Population-level exposure assessments require time-activity pattern distributions in relation to microenvironments where people spend their time. Societal trends may have influenced time-activity patterns since previous Canadian data were collected 15 years ago. The Canadian Human Activity Pattern Survey 2 (CHAPS 2) was a national survey conducted in 2010–2011 to collect time-activity information from Canadians of all ages. Five urban and two rural locations were sampled using telephone surveys. Infants and children, key groups in risk assessment activities, were over-sampled. Survey participants (n = 5,011) provided time-activity information in 24-hour recall diaries and responded to supplemental questionnaires concerning potential exposures to specific pollutants, dwelling characteristics, and socio-economic factors. Results indicated that a majority of the time was spent indoors (88.9%), most of which was indoors at home, with limited time spent outdoors (5.8%) or in a vehicle (5.3%). Season, age, gender and rurality were significant predictors of time activity patterns. Compared to earlier data, adults reported spending more time indoors at home and adolescents reported spending less time outdoors, which could be indicative of broader societal trends. These findings have potentially important implications for assessment of exposure and risk. The CHAPS 2 data also provide much larger sample sizes to allow for improved precision and are more representative of infants, children and rural residents. PMID:24557523

Understanding the Functionality of Human Activity Hotspots from Their Scaling Pattern Using Trajectory Data

Directory of Open Access Journals (Sweden)

Tao Jia

2017-11-01

Full Text Available Human activity hotspots are the clusters of activity locations in space and time, and a better understanding of their functionality would be useful for urban land use planning and transportation. In this article, using trajectory data, we aim to infer the functionality of human activity hotspots from their scaling pattern in a reliable way. Specifically, a large number of stopping locations are extracted from trajectory data, which are then aggregated into activity hotspots. Activity hotspots are found to display scaling patterns in terms of the sublinear scaling relationships between the number of stopping locations and the number of points of interest (POIs, which indicates economies of scale of human interactions with urban land use. Importantly, this scaling pattern remains stable over time. This finding inspires us to devise an allometric ruler to identify the activity hotspots, whose functionality could be reliably estimated using the stopping locations. Thereafter, a novel Bayesian inference model is proposed to infer their urban functionality, which examines the spatial and temporal information of stopping locations covering 75 days. Experimental results suggest that the functionality of identified activity hotspots are reliably inferred by stopping locations, such as the railway station.

Visual image reconstruction from human brain activity: A modular decoding approach

International Nuclear Information System (INIS)

Miyawaki, Yoichi; Uchida, Hajime; Yamashita, Okito; Sato, Masa-aki; Kamitani, Yukiyasu; Morito, Yusuke; Tanabe, Hiroki C; Sadato, Norihiro

2009-01-01

Brain activity represents our perceptual experience. But the potential for reading out perceptual contents from human brain activity has not been fully explored. In this study, we demonstrate constraint-free reconstruction of visual images perceived by a subject, from the brain activity pattern. We reconstructed visual images by combining local image bases with multiple scales, whose contrasts were independently decoded from fMRI activity by automatically selecting relevant voxels and exploiting their correlated patterns. Binary-contrast, 10 x 10-patch images (2 100 possible states), were accurately reconstructed without any image prior by measuring brain activity only for several hundred random images. The results suggest that our approach provides an effective means to read out complex perceptual states from brain activity while discovering information representation in multi-voxel patterns.

The Seven Deadly Tensions of Health-Related Human Information Behavior

Directory of Open Access Journals (Sweden)

J. David Johnson

2015-08-01

Full Text Available Tensions are a ubiquitous feature of social life and are manifested in a number of particular forms: contradictory logics, competing demands, clashes of ideas, contradictions, dialectics, irony, paradoxes, and/or dilemmas. This essay aims to explore in detail tensions surrounding seven common findings of the information seeking literature relating to: interpersonal communication, accessibility, level of skill, individual preferences, psychological limits, inertia, and costs. Our incomplete understanding of these tensions can lead us to suggest resolutions that do not recognize their underlying dualities. Human information behavior stands at the intersection of many important theoretical and policy issues (e.g., personalized medicine. Policy makers need to be more attuned to these basic tensions of information seeking recognizing the real human limits they represent to informing the public. So, even if you build a great information system, people will not necessarily use it because of the force of these underlying tensions. While rationality rules systems, irrationality rules people. The proliferation of navigator roles over the last several years is actually a hopeful sign: recognition that people need a human interface to inform them about our ever more complex health care systems.

Using geographical information systems (GIS to examine sanitary implications of rubbish dump locations at human activity centres

Directory of Open Access Journals (Sweden)

Lenos Koku Ankrah

2016-01-01

Full Text Available This study sought to investigate health risks that refuse dump locations have on people. The global positioning systems (GPS were used to take location coordinates of 28 rubbish dump centers and human activity centers (clinics, restaurants, markets etc spread across a university campus in Ghana. The ArcGIS software was used to plot the coordinates and draw a buffer of 50 meters around the rubbish dump locations (RDL to show the closeness between the dump sites and the human activity centers (HAC, and the sanitary implications of the closeness. More than 90% of the HACs fell within the 50 meters buffer zone of the rubbish dump sites. The findings indicated that some sensitive HACs like food joints, laundries etc. were less than 15 meters from rubbish dump sites. The findings confirmed that the location of rubbish dump sites pose serious threat to the health of the human community in the university. The findings of this study can be used to make evidence- based decisions about possible relocation of rubbish dump containers in the university. This study is also an initiative to set the tone for more detailed research work on the health implications of rubbish disposal management on Ghanaians.

Unveiling the mystery of visual information processing in human brain.

Science.gov (United States)

Diamant, Emanuel

2008-08-15

It is generally accepted that human vision is an extremely powerful information processing system that facilitates our interaction with the surrounding world. However, despite extended and extensive research efforts, which encompass many exploration fields, the underlying fundamentals and operational principles of visual information processing in human brain remain unknown. We still are unable to figure out where and how along the path from eyes to the cortex the sensory input perceived by the retina is converted into a meaningful object representation, which can be consciously manipulated by the brain. Studying the vast literature considering the various aspects of brain information processing, I was surprised to learn that the respected scholarly discussion is totally indifferent to the basic keynote question: "What is information?" in general or "What is visual information?" in particular. In the old days, it was assumed that any scientific research approach has first to define its basic departure points. Why was it overlooked in brain information processing research remains a conundrum. In this paper, I am trying to find a remedy for this bizarre situation. I propose an uncommon definition of "information", which can be derived from Kolmogorov's Complexity Theory and Chaitin's notion of Algorithmic Information. Embracing this new definition leads to an inevitable revision of traditional dogmas that shape the state of the art of brain information processing research. I hope this revision would better serve the challenging goal of human visual information processing modeling.

Dynamic Stimuli And Active Processing In Human Visual Perception

Science.gov (United States)

Haber, Ralph N.

1990-03-01

Theories of visual perception traditionally have considered a static retinal image to be the starting point for processing; and has considered processing both to be passive and a literal translation of that frozen, two dimensional, pictorial image. This paper considers five problem areas in the analysis of human visually guided locomotion, in which the traditional approach is contrasted to newer ones that utilize dynamic definitions of stimulation, and an active perceiver: (1) differentiation between object motion and self motion, and among the various kinds of self motion (e.g., eyes only, head only, whole body, and their combinations); (2) the sources and contents of visual information that guide movement; (3) the acquisition and performance of perceptual motor skills; (4) the nature of spatial representations, percepts, and the perceived layout of space; and (5) and why the retinal image is a poor starting point for perceptual processing. These newer approaches argue that stimuli must be considered as dynamic: humans process the systematic changes in patterned light when objects move and when they themselves move. Furthermore, the processing of visual stimuli must be active and interactive, so that perceivers can construct panoramic and stable percepts from an interaction of stimulus information and expectancies of what is contained in the visual environment. These developments all suggest a very different approach to the computational analyses of object location and identification, and of the visual guidance of locomotion.

Integration of Visual and Proprioceptive Limb Position Information in Human Posterior Parietal, Premotor, and Extrastriate Cortex.

Science.gov (United States)

Limanowski, Jakub; Blankenburg, Felix

2016-03-02

The brain constructs a flexible representation of the body from multisensory information. Previous work on monkeys suggests that the posterior parietal cortex (PPC) and ventral premotor cortex (PMv) represent the position of the upper limbs based on visual and proprioceptive information. Human experiments on the rubber hand illusion implicate similar regions, but since such experiments rely on additional visuo-tactile interactions, they cannot isolate visuo-proprioceptive integration. Here, we independently manipulated the position (palm or back facing) of passive human participants' unseen arm and of a photorealistic virtual 3D arm. Functional magnetic resonance imaging (fMRI) revealed that matching visual and proprioceptive information about arm position engaged the PPC, PMv, and the body-selective extrastriate body area (EBA); activity in the PMv moreover reflected interindividual differences in congruent arm ownership. Further, the PPC, PMv, and EBA increased their coupling with the primary visual cortex during congruent visuo-proprioceptive position information. These results suggest that human PPC, PMv, and EBA evaluate visual and proprioceptive position information and, under sufficient cross-modal congruence, integrate it into a multisensory representation of the upper limb in space. The position of our limbs in space constantly changes, yet the brain manages to represent limb position accurately by combining information from vision and proprioception. Electrophysiological recordings in monkeys have revealed neurons in the posterior parietal and premotor cortices that seem to implement and update such a multisensory limb representation, but this has been difficult to demonstrate in humans. Our fMRI experiment shows that human posterior parietal, premotor, and body-selective visual brain areas respond preferentially to a virtual arm seen in a position corresponding to one's unseen hidden arm, while increasing their communication with regions conveying visual

Activation of peroxisome proliferator-activated receptor-α enhances fatty acid oxidation in human adipocytes

International Nuclear Information System (INIS)

Lee, Joo-Young; Hashizaki, Hikari; Goto, Tsuyoshi; Sakamoto, Tomoya; Takahashi, Nobuyuki; Kawada, Teruo

2011-01-01

Highlights: → PPARα activation increased mRNA expression levels of adipocyte differentiation marker genes and GPDH activity in human adipocytes. → PPARα activation also increased insulin-dependent glucose uptake in human adipocytes. → PPARα activation did not affect lipid accumulation in human adipocytes. → PPARα activation increased fatty acid oxidation through induction of fatty acid oxidation-related genes in human adipocytes. -- Abstract: Peroxisome proliferator-activated receptor-α (PPARα) is a key regulator for maintaining whole-body energy balance. However, the physiological functions of PPARα in adipocytes have been unclarified. We examined the functions of PPARα using human multipotent adipose tissue-derived stem cells as a human adipocyte model. Activation of PPARα by GW7647, a potent PPARα agonist, increased the mRNA expression levels of adipocyte differentiation marker genes such as PPARγ, adipocyte-specific fatty acid-binding protein, and lipoprotein lipase and increased both GPDH activity and insulin-dependent glucose uptake level. The findings indicate that PPARα activation stimulates adipocyte differentiation. However, lipid accumulation was not changed, which is usually observed when PPARγ is activated. On the other hand, PPARα activation by GW7647 treatment induced the mRNA expression of fatty acid oxidation-related genes such as CPT-1B and AOX in a PPARα-dependent manner. Moreover, PPARα activation increased the production of CO 2 and acid soluble metabolites, which are products of fatty acid oxidation, and increased oxygen consumption rate in human adipocytes. The data indicate that activation of PPARα stimulates both adipocyte differentiation and fatty acid oxidation in human adipocytes, suggesting that PPARα agonists could improve insulin resistance without lipid accumulation in adipocytes. The expected effects of PPARα activation are very valuable for managing diabetic conditions accompanied by obesity, because

A formal design verification and validation on the human factors of a computerized information system in nuclear power plants

International Nuclear Information System (INIS)

Lee, Yong Hee; Park, Jae Chang; Cheon, Se Woo; Jung, Kwang Tae; Baek, Seung Min; Han, Seung; Park, Hee Suk; Son, Ki Chang; Kim, Jung Man; Jung Yung Woo

1999-11-01

This report describe a technical transfer under the title of ''A formal design verification and validation on the human factors of a computerized information system in nuclear power plants''. Human factors requirements for the information system designs are extracted from various regulatory and industrial standards and guidelines, and interpreted into a more specific procedures and checklists for verifying the satisfaction of those requirements. A formalized implementation plan is established for human factors verification and validation of a computerized information system in nuclear power plants. Additionally, a Computer support system, named as DIMS-web (design Issue Management System), is developed based upon web internet environment so as to enhance the implementation of the human factors activities. DIMS-Web has three maine functions: supporting requirements review, tracking design issues, and management if issues screening evaluation. DIMS-Web shows its benefits in practice through a trial application to the design review of CFMS for YGN nuclear unit 5 and 6. (author)

A formal design verification and validation on the human factors of a computerized information system in nuclear power plants

Energy Technology Data Exchange (ETDEWEB)

Lee, Yong Hee; Park, Jae Chang; Cheon, Se Woo; Jung, Kwang Tae; Baek, Seung Min; Han, Seung; Park, Hee Suk; Son, Ki Chang; Kim, Jung Man; Jung Yung Woo

1999-11-01

This report describe a technical transfer under the title of ''A formal design verification and validation on the human factors of a computerized information system in nuclear power plants''. Human factors requirements for the information system designs are extracted from various regulatory and industrial standards and guidelines, and interpreted into a more specific procedures and checklists for verifying the satisfaction of those requirements. A formalized implementation plan is established for human factors verification and validation of a computerized information system in nuclear power plants. Additionally, a Computer support system, named as DIMS-web (design Issue Management System), is developed based upon web internet environment so as to enhance the implementation of the human factors activities. DIMS-Web has three maine functions: supporting requirements review, tracking design issues, and management if issues screening evaluation. DIMS-Web shows its benefits in practice through a trial application to the design review of CFMS for YGN nuclear unit 5 and 6. (author)

76 FR 71039 - Agency Information Collection Activities; Submission for Office of Management and Budget Review...

Science.gov (United States)

2011-11-16

... Management, Food and Drug Administration, 1350 Piccard Dr., PI50-400B, Rockville, MD 20850, (301) 796-7651... DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration [Docket No. FDA-2011-N-0555] Agency Information Collection Activities; Submission for Office of Management and Budget Review; Comment...

76 FR 28043 - Agency Information Collection Activities; Submission for Office of Management and Budget Review...

Science.gov (United States)

2011-05-13

... Management, Food and Drug Administration, 1350 Piccard Dr., PI50-400B, Rockville, MD 20850, 301-796-3794... DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration [Docket No. FDA-2011-N-0015] Agency Information Collection Activities; Submission for Office of Management and Budget Review; Comment...

76 FR 27328 - Agency Information Collection Activities; Submission for Office of Management and Budget Review...

Science.gov (United States)

2011-05-11

... Management, Food and Drug Administration, 1350 Piccard Dr., PI50-400B, Rockville, MD 20850, 301-796-3792... DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration [Docket No. FDA-2011-N-0042] Agency Information Collection Activities; Submission for Office of Management and Budget Review; Comment...

76 FR 11786 - Agency Information Collection Activities; Submission for Office of Management and Budget Review...

Science.gov (United States)

2011-03-03

... Management, Food and Drug Administration, 1350 Piccard Dr., PI50-400B, Rockville, MD 20850, 301-796-3792... DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration [Docket No. FDA-2010-N-0583] Agency Information Collection Activities; Submission for Office of Management and Budget Review; Comment...

Human rights education (HRE) and transnational activism

NARCIS (Netherlands)

Mihr, A.; Schmitz, Hans-Peter

2007-01-01

Transnational human rights activism occupies today a significant place in the practice and scholarship of current global affairs. This article reviews the past successes and limits of this activism and suggests Human Rights Education (HRE) as a strategic tool currently underutilized by activists and

The New HIT: Human Health Information Technology.

Science.gov (United States)

Leung, Tiffany I; Goldstein, Mary K; Musen, Mark A; Cronkite, Ruth; Chen, Jonathan H; Gottlieb, Assaf; Leitersdorf, Eran

2017-01-01

Humanism in medicine is defined as health care providers' attitudes and actions that demonstrate respect for patients' values and concerns in relation to their social, psychological and spiritual life domains. Specifically, humanistic clinical medicine involves showing respect for the patient, building a personal connection, and eliciting and addressing a patient's emotional response to illness. Health information technology (IT) often interferes with humanistic clinical practice, potentially disabling these core aspects of the therapeutic patient-physician relationship. Health IT has evolved rapidly in recent years - and the imperative to maintain humanism in practice has never been greater. In this vision paper, we aim to discuss why preserving humanism is imperative in the design and implementation of health IT systems.

Nuclear information: An overview of IAEA's activities

International Nuclear Information System (INIS)

Marchesi, I.H.; Konstantinov, L.V.

1986-01-01

As stated in this overview of IAEA nuclear information activities the Agency's role in information services is rapidly evolving and multifaceted. The Agency maintains more than 200 computerized files of information. Some 60 of these are part of systems directly related to nuclear activities. Some of these are briefly profiled in this overview such as INIS, the IAEA Nuclear Data Programme, the IAEA Incident Reporting System, the IAEA Energy and Economic Databank, the IAEA Power Reactor Information System, the Nuclear Fuel Cycle Information System, and the International Uranium Geology Information System. Future directions are pointed out. Different ways to upgrade information systems are listed

Characteristics of Company Accounting Information System

OpenAIRE

Marija Tokić; Marina Proklin

2011-01-01

Information has always presented an important factor of human activity. As a resource that guided human activity, information was gathered, stored, analysed and distributed in different ways throughout the history. Today, information system is a necessity in the global business system. Globalisation processes have changed the traditional concept of doing business and brought about the need for information management as an integral part of overall company assets and rapid developme...

Metabolic mapping of functional activity in human subjects with the [18F]fluorodeoxyglucose technique

International Nuclear Information System (INIS)

Greenberg, J.H.; Reivich, M.; Alavi, A.

1981-01-01

The 2-[ 18 F]fluoro-2-deoxy-D-glucose technique was used to measure regional cerebral glucose utilization by human subjects during functional activation. Normal male volunteers subjected to one or more sensory stimuli exhibited focal increases in glucose metabolism in response to the stimulus. These results demonstrate that the technique is capable of providing functional maps in vivo related to both body region and submodality of sensory information in the human brain

Democratizing Human Genome Project Information: A Model Program for Education, Information and Debate in Public Libraries.

Science.gov (United States)

Pollack, Miriam

The "Mapping the Human Genome" project demonstrated that librarians can help whomever they serve in accessing information resources in the areas of biological and health information, whether it is the scientists who are developing the information or a member of the public who is using the information. Public libraries can guide library…

77 FR 27540 - Information Collection Activities

Science.gov (United States)

2012-05-10

... transportation policy. Information from this report is also entered into the Board's Uniform Rail Costing System... DEPARTMENT OF TRANSPORTATION Surface Transportation Board Information Collection Activities AGENCY.... Estimated Time per Response: No more than 800 hours, based on information provided by the railroad industry...

The information activity of rail passenger information staff: a foundation for information system requirements

Directory of Open Access Journals (Sweden)

Martin Rose

2006-01-01

Full Text Available Introduction. This paper examines the goal-directed information activity of passenger information staff, working in the dynamic environment of rail network control. The explicit aim is to define a meaningful set of information system requirements. The report shows how dynamic situations may lead us to question a number of established theories of information science. Method. Passenger information officers (PIOs were observed on duty within the rail command and control headquarters. Observation sessions totally eight hours involved the manual recording of sequential information flows and the associated activity of PIOs. A semi-structured management interview was also conducted to provide further insight into the organizational context. Analysis. A viewpoint-oriented analysis technique was used to analyse sequential data captured during observation sessions. Event sequences that represent and explain the viewpoints were identified and elaborated into detailed scenario descriptions. Results. The analysis both supports and contests a number of established theories from information science. Additionally, a range of 'mandatory' and 'desirable' system requirements are derived from the scenario and viewpoint analyses. Conclusion. Dynamic situations have a significant impact on information behaviour which is not always predicted by current theories of information science.

Human Error Probability Assessment During Maintenance Activities of Marine Systems

Directory of Open Access Journals (Sweden)

Rabiul Islam

2018-03-01

Full Text Available Background: Maintenance operations on-board ships are highly demanding. Maintenance operations are intensive activities requiring high man–machine interactions in challenging and evolving conditions. The evolving conditions are weather conditions, workplace temperature, ship motion, noise and vibration, and workload and stress. For example, extreme weather condition affects seafarers' performance, increasing the chances of error, and, consequently, can cause injuries or fatalities to personnel. An effective human error probability model is required to better manage maintenance on-board ships. The developed model would assist in developing and maintaining effective risk management protocols. Thus, the objective of this study is to develop a human error probability model considering various internal and external factors affecting seafarers' performance. Methods: The human error probability model is developed using probability theory applied to Bayesian network. The model is tested using the data received through the developed questionnaire survey of >200 experienced seafarers with >5 years of experience. The model developed in this study is used to find out the reliability of human performance on particular maintenance activities. Results: The developed methodology is tested on the maintenance of marine engine's cooling water pump for engine department and anchor windlass for deck department. In the considered case studies, human error probabilities are estimated in various scenarios and the results are compared between the scenarios and the different seafarer categories. The results of the case studies for both departments are also compared. Conclusion: The developed model is effective in assessing human error probabilities. These probabilities would get dynamically updated as and when new information is available on changes in either internal (i.e., training, experience, and fatigue or external (i.e., environmental and operational conditions

Human Research Program Human Health Countermeasures Element Extravehicular Activity (EVA) Risk Standing Review Panel (SRP)

Science.gov (United States)

Norfleet, William; Harris, Bernard

2009-01-01

The Extravehicular Activity (EVA) Risk Standing Review Panel (SRP) was favorably impressed by the operational risk management approach taken by the Human Research Program (HRP) Integrated Research Plan (IRP) to address the stated life sciences issues. The life sciences community at the Johnson Space Center (JSC) seems to be focused on operational risk management. This approach is more likely to provide risk managers with the information they need at the time they need it. Concerning the information provided to the SRP by the EVA Physiology, Systems, and Performance Project (EPSP), it is obvious that a great deal of productive activity is under way. Evaluation of this information was hampered by the fact that it often was not organized in a fashion that reflects the "Gaps and Tasks" approach of the overall Human Health Countermeasures (HHC) effort, and that a substantial proportion of the briefing concerned subjects that, while interesting, are not part of the HHC Element (e.g., the pressurized rover presentation). Additionally, no information was provided on several of the tasks or how they related to work underway or already accomplished. This situation left the SRP having to guess at the efforts and relationship to other elements, and made it hard to easily map the EVA Project efforts currently underway, and the data collected thus far, to the gaps and tasks in the IRP. It seems that integration of the EPSP project into the HHC Element could be improved. Along these lines, we were concerned that our SRP was split off from the other participating SRPs at an early stage in the overall agenda for the meeting. In reality, the concerns of EPSP and other projects share much common ground. For example, the commonality of the concerns of the EVA and exercise physiology groups is obvious, both in terms of what reduced exercise capacity can do to EVA capability, and how the exercise performed during an EVA could contribute to an overall exercise countermeasure prescription.

Timing of nurses activities: human resources management

Directory of Open Access Journals (Sweden)

Hamid Hosein Poor

2016-11-01

Full Text Available Costs of human resources include a high percentage of hospital’s costs; therefore, determination of number of real and optimal employees needed for organizations is very important. In the meantime, the optimal organization of nurses, as the biggest human resource in health care organizations, is of great importance. The present study aimed to assess the distribution of nurses’ activities in shifts and the results of productivity in human resources management in Imam Khomeini hospital in Shirvan. The present cross-sectional study was conducted in 2016. All nurses, working in three shifts of morning, afternoon, and evening in emergency unit and general units of Imam Khomeini hospital, Shirvan, were enrolled into the study through census methods. The instrument, used in this study, was the checklist of timing activities and patients’ satisfaction from nurses. The statistical software SPSS was used for analysis. Mean age of employees in these two units/wards was 31 years and mean duration of work experience was 5.24 years, The difference was significant between the two wards. necessity of the work, especially in emergency unit, are issues that need more assessment and need to be adjusted. Given the high volume of non-care matters of nursing staff, including writing services, including completing paper records and work with HIS (Hospital Information System, which has been emphasized in several studies, new definition of service and use of artificial intelligence with high efficacy is proposed. The status of the available equipment, availability, and efficiency of digital equipment and hoteling state of wards and hospitals also play an important factor in the distribution of time of nursing care activities. Employment of nurses to perform non-nursing duties, because of the shortage of other classes or lack of their permanent presence and based on Although there were differences in standard time of direct and indirect care in emergency unit and

77 FR 72353 - Agency Information Collection Activities; Submission for Office of Management and Budget Review...

Science.gov (United States)

2012-12-05

... Management, Food and Drug Administration, 1350 Piccard Dr., PI50-400B, Rockville, MD 20850, 301-796-7726, Ila... DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration [Docket No. FDA-2012-N-0813] Agency Information Collection Activities; Submission for Office of Management and Budget Review; Comment...

Frontal Theta Activity Supports Detecting Mismatched Information in Visual Working Memory.

Science.gov (United States)

Liang, Tengfei; Hu, Zhonghua; Liu, Qiang

2017-01-01

During the comparison stage of visual working memory (VWM) processing, detecting the mismatch between the external sensory input and internal representations is a crucial cognitive ability for human, but the neural mechanism behind it remains largely unclear. The present study investigated the role of frontal theta power in detecting the mismatched information in VWM in a delayed matching task. A control task required to compare two simultaneously presented visual figures was also designed as a contrast to exclude the possibility that frontal theta activity just reflecting the non-memory-related behavioral conflicts. To better characterize the control mechanisms shaped by the frontal theta oscillation in human VWM, colored shapes were adopted as materials while both the task-relevant shape feature and task-irrelevant color feature could be mismatched. We found that the response times of participants were significantly delayed under the relevant- and irrelevant-mismatch conditions in both tasks and the conjunction-mismatch condition in delayed matching task. While our EEG data showed that increased frontal theta power was only observed under the relevant- and conjunction-mismatch conditions in the delayed matching task, but not the control task. These findings suggest that the frontal distributed theta activity observed here reflects the detection of mismatched information during the comparison stage of VWM, rather than the response-related conflicts. Furthermore, it is consistent with the proposal that theta-band oscillation can act as a control mechanism in working memory function so that the target-mismatched information in VWM could be successfully tracked. We also propose a possible processing structure to explain the neural dynamics underlying the mismatch detection process in VWM.

Frontal Theta Activity Supports Detecting Mismatched Information in Visual Working Memory

Directory of Open Access Journals (Sweden)

Tengfei Liang

2017-10-01

Full Text Available During the comparison stage of visual working memory (VWM processing, detecting the mismatch between the external sensory input and internal representations is a crucial cognitive ability for human, but the neural mechanism behind it remains largely unclear. The present study investigated the role of frontal theta power in detecting the mismatched information in VWM in a delayed matching task. A control task required to compare two simultaneously presented visual figures was also designed as a contrast to exclude the possibility that frontal theta activity just reflecting the non-memory-related behavioral conflicts. To better characterize the control mechanisms shaped by the frontal theta oscillation in human VWM, colored shapes were adopted as materials while both the task-relevant shape feature and task-irrelevant color feature could be mismatched. We found that the response times of participants were significantly delayed under the relevant- and irrelevant-mismatch conditions in both tasks and the conjunction-mismatch condition in delayed matching task. While our EEG data showed that increased frontal theta power was only observed under the relevant- and conjunction-mismatch conditions in the delayed matching task, but not the control task. These findings suggest that the frontal distributed theta activity observed here reflects the detection of mismatched information during the comparison stage of VWM, rather than the response-related conflicts. Furthermore, it is consistent with the proposal that theta-band oscillation can act as a control mechanism in working memory function so that the target-mismatched information in VWM could be successfully tracked. We also propose a possible processing structure to explain the neural dynamics underlying the mismatch detection process in VWM.

Human children rely more on social information than chimpanzees do.

Science.gov (United States)

van Leeuwen, Edwin J C; Call, Josep; Haun, Daniel B M

2014-11-01

Human societies are characterized by more cultural diversity than chimpanzee communities. However, it is currently unclear what mechanism might be driving this difference. Because reliance on social information is a pivotal characteristic of culture, we investigated individual and social information reliance in children and chimpanzees. We repeatedly presented subjects with a reward-retrieval task on which they had collected conflicting individual and social information of equal accuracy in counterbalanced order. While both species relied mostly on their individual information, children but not chimpanzees searched for the reward at the socially demonstrated location more than at a random location. Moreover, only children used social information adaptively when individual knowledge on the location of the reward had not yet been obtained. Social information usage determines information transmission and in conjunction with mechanisms that create cultural variants, such as innovation, it facilitates diversity. Our results may help explain why humans are more culturally diversified than chimpanzees. © 2014 The Author(s) Published by the Royal Society. All rights reserved.

Analysis of Gait Pattern to Recognize the Human Activities

Directory of Open Access Journals (Sweden)

Jay Prakash Gupta

2014-09-01

Full Text Available Human activity recognition based on the computer vision is the process of labelling image sequences with action labels. Accurate systems for this problem are applied in areas such as visual surveillance, human computer interaction and video retrieval. The challenges are due to variations in motion, recording settings and gait differences. Here we propose an approach to recognize the human activities through gait. Activity recognition through Gait is the process of identifying an activity by the manner in which they walk. The identification of human activities in a video, such as a person is walking, running, jumping, jogging etc are important activities in video surveillance. We contribute the use of Model based approach for activity recognition with the help of movement of legs only. Experimental results suggest that our method are able to recognize the human activities with a good accuracy rate and robust to shadows present in the videos.

Disturbances of electrodynamic activity affect abortion in human

Science.gov (United States)

Jandová, A.; Nedbalová, M.; Kobilková, J.; Čoček, A.; Dohnalová, A.; Cifra, M.; Pokorný, J.

2011-12-01

Biochemical research of biological systems is highly developed, and it has disclosed a spectrum of chemical reactions, genetic processes, and the pathological development of various diseases. The fundamental hypothesis of physical processes in biological systems, in particular of coherent electrically polar vibrations and electromagnetic activity, was formulated by H. Fröhlich he assumed connection of cancer process with degradation of coherent electromagnetic activity. But the questions of cellular structures capable of the coherent electrical polar oscillation, mechanisms of energy supply, and the specific role of the endogenous electromagnetic fields in transport, organisation, interactions, and information transfer remained open. The nature of physical disturbances caused by some diseases (including the recurrent abortion in humans and the cancer) was unknown. We have studied the reasons of recurrent abortions in humans by means of the cell mediated immunity (using immunologic active RNA prepared from blood of inbred laboratory mice strain C3H/H2K, infected with the lactate dehydrogenase elevating virus-LD V) and the cytogenetic examination from karyotype pictures. The recurrent abortion group contained women with dg. spontaneous abortion (n = 24) and the control group was composed of 30 healthy pregnant women. Our hypothesis was related to quality of endometrium in relation to nidation of the blastocyst. The energetic insufficiency (ATP) inhibits normal development of fetus and placenta. We hope that these ideas might have impact on further research, which could provide background for effective interdisciplinary cooperation of malignant and non-malignant diseases.

Disturbances of electrodynamic activity affect abortion in human

International Nuclear Information System (INIS)

Jandová, A; Cifra, M; Pokorný, J; Nedbalová, M; Dohnalová, A; Kobilková, J; Cocek, A

2011-01-01

Biochemical research of biological systems is highly developed, and it has disclosed a spectrum of chemical reactions, genetic processes, and the pathological development of various diseases. The fundamental hypothesis of physical processes in biological systems, in particular of coherent electrically polar vibrations and electromagnetic activity, was formulated by H. Fröhlich; he assumed connection of cancer process with degradation of coherent electromagnetic activity. But the questions of cellular structures capable of the coherent electrical polar oscillation, mechanisms of energy supply, and the specific role of the endogenous electromagnetic fields in transport, organisation, interactions, and information transfer remained open. The nature of physical disturbances caused by some diseases (including the recurrent abortion in humans and the cancer) was unknown. We have studied the reasons of recurrent abortions in humans by means of the cell mediated immunity (using immunologic active RNA prepared from blood of inbred laboratory mice strain C3H/H2K, infected with the lactate dehydrogenase elevating virus-LD V) and the cytogenetic examination from karyotype pictures. The recurrent abortion group contained women with dg. spontaneous abortion (n = 24) and the control group was composed of 30 healthy pregnant women. Our hypothesis was related to quality of endometrium in relation to nidation of the blastocyst. The energetic insufficiency (ATP) inhibits normal development of fetus and placenta. We hope that these ideas might have impact on further research, which could provide background for effective interdisciplinary cooperation of malignant and non-malignant diseases.

Activation of peroxisome proliferator-activated receptor-{alpha} enhances fatty acid oxidation in human adipocytes

Energy Technology Data Exchange (ETDEWEB)

Lee, Joo-Young; Hashizaki, Hikari; Goto, Tsuyoshi; Sakamoto, Tomoya; Takahashi, Nobuyuki [Laboratory of Molecular Function of Food, Division of Food Science and Biotechnology, Graduate School of Agriculture, Kyoto University, Uji, Kyoto 611-0011 (Japan); Kawada, Teruo, E-mail: fat@kais.kyoto-u.ac.jp [Laboratory of Molecular Function of Food, Division of Food Science and Biotechnology, Graduate School of Agriculture, Kyoto University, Uji, Kyoto 611-0011 (Japan)

2011-04-22

Highlights: {yields} PPAR{alpha} activation increased mRNA expression levels of adipocyte differentiation marker genes and GPDH activity in human adipocytes. {yields} PPAR{alpha} activation also increased insulin-dependent glucose uptake in human adipocytes. {yields} PPAR{alpha} activation did not affect lipid accumulation in human adipocytes. {yields} PPAR{alpha} activation increased fatty acid oxidation through induction of fatty acid oxidation-related genes in human adipocytes. -- Abstract: Peroxisome proliferator-activated receptor-{alpha} (PPAR{alpha}) is a key regulator for maintaining whole-body energy balance. However, the physiological functions of PPAR{alpha} in adipocytes have been unclarified. We examined the functions of PPAR{alpha} using human multipotent adipose tissue-derived stem cells as a human adipocyte model. Activation of PPAR{alpha} by GW7647, a potent PPAR{alpha} agonist, increased the mRNA expression levels of adipocyte differentiation marker genes such as PPAR{gamma}, adipocyte-specific fatty acid-binding protein, and lipoprotein lipase and increased both GPDH activity and insulin-dependent glucose uptake level. The findings indicate that PPAR{alpha} activation stimulates adipocyte differentiation. However, lipid accumulation was not changed, which is usually observed when PPAR{gamma} is activated. On the other hand, PPAR{alpha} activation by GW7647 treatment induced the mRNA expression of fatty acid oxidation-related genes such as CPT-1B and AOX in a PPAR{alpha}-dependent manner. Moreover, PPAR{alpha} activation increased the production of CO{sub 2} and acid soluble metabolites, which are products of fatty acid oxidation, and increased oxygen consumption rate in human adipocytes. The data indicate that activation of PPAR{alpha} stimulates both adipocyte differentiation and fatty acid oxidation in human adipocytes, suggesting that PPAR{alpha} agonists could improve insulin resistance without lipid accumulation in adipocytes. The expected

ANALYZING AND MODELING THE ROLE OF HUMAN RESOURCE INFORMATION SYSTEM ON HUMAN RESOURCE PLANNING AT HIGHER EDUCATION INSTITUTION IN INDONESIA

Directory of Open Access Journals (Sweden)

Susilo H.

2017-08-01

Full Text Available The challenge of Human Resource Management in Higher Education Institutions is how to plan, organize, and assess the performance of human resources so as to contribute as much as possible to the achievement of high quality education objectives. To answer these challenges, the role of Human Resources Information System (HRIS is needed to facilitate leadership both at the university and faculty level in preparing the needs planning and utilizing the advantages of human resources. This study aims to analyze the role of HRIS in human resource planning, especially in the stages of needs planning activities, recruitment and selection, human resources development, promotion and promotion, and assessment of work and remuneration. The output of research resulted in the form of HRIS-based human resource planning concepts for Higher Education Institutions. The research method was designed using qualitative descriptive approach. Data collection is done through observation technique and interview with research location in University of Brawijaya. The results show that the existing HRIS has not played an optimal role because the function of the system is still limited as a data gathering medium and the submission of employment reports that have not been able to contribute as a decision support system for leaders in HR planning.

Cholesterol esterase activity of human intestinal mucosa

International Nuclear Information System (INIS)

Ponz de Leon, M.; Carubbi, F.; Di Donato, P.; Carulli, N.

1985-01-01

It has been suggested that cholesterol absorption in humans is dependent on bile acid pool composition and that expansion of the cholic acid pool size is followed by an increase of the absorption values. Similar observations were reported in rats. In the present study, therefore, the authors investigated some general properties of human intestinal cholesterol esterase, with particular emphasis on the effect of bile acids on this enzymatic activity. Twenty-nine segments of small intestine were taken during operations; the enzymatic activity was studied by using mucosal homogenate as a source of enzyme and oleic acid, cholesterol, and 14 C-labeled cholesterol as substrates. The time-activity relationship was linear within the first two hours; optimal pH for esterification ranged between 5 and 6.2. There was little difference between the esterifying activity of the jejunal and ileal mucosa. Esterification of cholesterol was observed with all the investigated fatty acids but was maximal with oleic acid. Bile acids did not affect cholesterol esterase activity when present in the incubation mixture at 0.1 and 1.0 mM; the enzymatic activity, however, was significantly inhibited when bile acids were added at 20 mM. In conclusion, this study has shown that the human intestinal mucosa possesses a cholesterol esterase activity; at variance with the rat, however, the human enzyme does not seem to be stimulated by trihydroxy bile acids

Timing, timing, timing: Fast decoding of object information from intracranial field potentials in human visual cortex

Science.gov (United States)

Liu, Hesheng; Agam, Yigal; Madsen, Joseph R.; Kreiman, Gabriel

2010-01-01

Summary The difficulty of visual recognition stems from the need to achieve high selectivity while maintaining robustness to object transformations within hundreds of milliseconds. Theories of visual recognition differ in whether the neuronal circuits invoke recurrent feedback connections or not. The timing of neurophysiological responses in visual cortex plays a key role in distinguishing between bottom-up and top-down theories. Here we quantified at millisecond resolution the amount of visual information conveyed by intracranial field potentials from 912 electrodes in 11 human subjects. We could decode object category information from human visual cortex in single trials as early as 100 ms post-stimulus. Decoding performance was robust to depth rotation and scale changes. The results suggest that physiological activity in the temporal lobe can account for key properties of visual recognition. The fast decoding in single trials is compatible with feed-forward theories and provides strong constraints for computational models of human vision. PMID:19409272

Human Information Processing and Supervisory Control.

Science.gov (United States)

1980-05-01

errors (that is of the output of the human operator). There is growing evidence (Senders, personal communication; Norman , personal communication...relates to the relative tendency to depend on sensory information or to be more analytic and independent. Norman (personal communication) has referred...decision process model. Ergonomics, 12, 543-557. Senders, J., Elkid, J., Grignetti, M., & Smallwood , R. 1966. An investigation of the visual sampling

Assessment of Homomorphic Analysis for Human Activity Recognition from Acceleration Signals.

Science.gov (United States)

Vanrell, Sebastian Rodrigo; Milone, Diego Humberto; Rufiner, Hugo Leonardo

2017-07-03

Unobtrusive activity monitoring can provide valuable information for medical and sports applications. In recent years, human activity recognition has moved to wearable sensors to deal with unconstrained scenarios. Accelerometers are the preferred sensors due to their simplicity and availability. Previous studies have examined several \\azul{classic} techniques for extracting features from acceleration signals, including time-domain, time-frequency, frequency-domain, and other heuristic features. Spectral and temporal features are the preferred ones and they are generally computed from acceleration components, leaving the acceleration magnitude potential unexplored. In this study, based on homomorphic analysis, a new type of feature extraction stage is proposed in order to exploit discriminative activity information present in acceleration signals. Homomorphic analysis can isolate the information about whole body dynamics and translate it into a compact representation, called cepstral coefficients. Experiments have explored several configurations of the proposed features, including size of representation, signals to be used, and fusion with other features. Cepstral features computed from acceleration magnitude obtained one of the highest recognition rates. In addition, a beneficial contribution was found when time-domain and moving pace information was included in the feature vector. Overall, the proposed system achieved a recognition rate of 91.21% on the publicly available SCUT-NAA dataset. To the best of our knowledge, this is the highest recognition rate on this dataset.

Focused ultrasound as a tool to input sensory information to humans (Review)

Science.gov (United States)

Gavrilov, L. R.; Tsirulnikov, E. M.

2012-01-01

This review is devoted to the analysis of studies and implementations related to the use of focused ultrasound for functional effects on neuroreceptor structures. Special attention was paid to the stimulation of neuroreceptor structures in order to input sensory information to humans. This branch of medical and physiological acoustics appeared in Russia in the early 1970s and was being efficiently developed up to the late 1980s. Then, due to lack of financial support, only individual researchers remained at this field and, as a result, we have no full- fledged theoretical research and practical implementations in this area yet. Many promising possibilities of using functional effects of focused ultrasound in medicine and physiology have remained unimplemented for a long time. However, new interesting ideas and approaches have appeared in recent years. Very recently, very questionable projects have been reported related to the use of ultrasound for targeted functional effects on the human brain performed in some laboratories. In this review, the stages of the development of scientific research devoted to the functional effects of focused ultrasound are described. By activating the neuroreceptor structures of the skin by means pulses of focused ultrasound, one can cause all the sensations perceived by human beings through the skin in everyday life, such as tactile sensations, thermal (heat and cold), tickling, itching, and various types of pain. Stimulation of the ear labyrinth of humans with normal hearing using amplitude-modulated ultrasound causes auditory sensations corresponding to an audio modulating signal (pure tones, music, speech, etc.). Activation of neuroreceptor structures by means of focused ultrasound is used for the diagnosis of various neurological and skin diseases, as well as hearing disorders. It has been shown that the activation is related to the mechanical action of ultrasound, for example, by the radiation force, as well as to the direct

Techno-Human Mesh: The Growing Power of Information Technologies.

Science.gov (United States)

West, Cynthia K.

This book examines the intersection of information technologies, power, people, and bodies. It explores how information technologies are on a path of creating efficiency, productivity, profitability, surveillance, and control, and looks at the ways in which human-machine interface technologies, such as wearable computers, biometric technologies,…

An experimental approach to estimation of human information processing capacity for diagnosis tasks in NPPs

Energy Technology Data Exchange (ETDEWEB)

Kim, Ji Tae

2006-02-15

The objectives of this research are 1) to determine the human's information processing capacity and 2) to describe the relationship between the information processing capacity and human factors. This research centers on the relationship, as experimentally determined, between an operator's mental workload and information flow during accident diagnosis tasks at nuclear power plants (NPPs). The relationship between the information flow rate and operator's mental workload is investigated experimentally. According to this relationship, the operator's information processing capacity can be established. Once the information processing capacity of a main control room (MCR) operator in a NPP is known, it is possible to apply it 1) to predict the operator's performance, 2) to design diagnosis tasks, and 3) to design human-machine interface. In advanced MCR, an operator's mental activity is more important than his or her physical activity. The mental workload is the portion of the operator's limited capacity that is actually required to perform a particular task. A high mental workload may cause an operator to make a mistake and consequently affect that the safe operation of NPPs. Thus, to predict an operator's performance is very important for the nuclear safety. The information processing capacity is the operator's ability to manage the amount of bits per second when an operator is diagnosing tasks or accidents. We can estimate the information processing capacity using the relationship between the information flow rate and human performance. That is, if the operator's performance decreases rapidly as the information flow rate (bit/sec) is increased, it is possible to determine the operator's information processing capacity. A diagnosis task is one of the most complex and mentally demanding tasks as well as a crucial part in maintaining the safe operation of NPPs. Diagnosis tasks refer to the overall tasks of finding the

An experimental approach to estimation of human information processing capacity for diagnosis tasks in NPPs

International Nuclear Information System (INIS)

Kim, Ji Tae

2006-02-01

The objectives of this research are 1) to determine the human's information processing capacity and 2) to describe the relationship between the information processing capacity and human factors. This research centers on the relationship, as experimentally determined, between an operator's mental workload and information flow during accident diagnosis tasks at nuclear power plants (NPPs). The relationship between the information flow rate and operator's mental workload is investigated experimentally. According to this relationship, the operator's information processing capacity can be established. Once the information processing capacity of a main control room (MCR) operator in a NPP is known, it is possible to apply it 1) to predict the operator's performance, 2) to design diagnosis tasks, and 3) to design human-machine interface. In advanced MCR, an operator's mental activity is more important than his or her physical activity. The mental workload is the portion of the operator's limited capacity that is actually required to perform a particular task. A high mental workload may cause an operator to make a mistake and consequently affect that the safe operation of NPPs. Thus, to predict an operator's performance is very important for the nuclear safety. The information processing capacity is the operator's ability to manage the amount of bits per second when an operator is diagnosing tasks or accidents. We can estimate the information processing capacity using the relationship between the information flow rate and human performance. That is, if the operator's performance decreases rapidly as the information flow rate (bit/sec) is increased, it is possible to determine the operator's information processing capacity. A diagnosis task is one of the most complex and mentally demanding tasks as well as a crucial part in maintaining the safe operation of NPPs. Diagnosis tasks refer to the overall tasks of finding the root of cause of the faults or accidents. In this

Actively learning human gaze shifting paths for semantics-aware photo cropping.

Science.gov (United States)

Zhang, Luming; Gao, Yue; Ji, Rongrong; Xia, Yingjie; Dai, Qionghai; Li, Xuelong

2014-05-01

Photo cropping is a widely used tool in printing industry, photography, and cinematography. Conventional cropping models suffer from the following three challenges. First, the deemphasized role of semantic contents that are many times more important than low-level features in photo aesthetics. Second, the absence of a sequential ordering in the existing models. In contrast, humans look at semantically important regions sequentially when viewing a photo. Third, the difficulty of leveraging inputs from multiple users. Experience from multiple users is particularly critical in cropping as photo assessment is quite a subjective task. To address these challenges, this paper proposes semantics-aware photo cropping, which crops a photo by simulating the process of humans sequentially perceiving semantically important regions of a photo. We first project the local features (graphlets in this paper) onto the semantic space, which is constructed based on the category information of the training photos. An efficient learning algorithm is then derived to sequentially select semantically representative graphlets of a photo, and the selecting process can be interpreted by a path, which simulates humans actively perceiving semantics in a photo. Furthermore, we learn a prior distribution of such active graphlet paths from training photos that are marked as aesthetically pleasing by multiple users. The learned priors enforce the corresponding active graphlet path of a test photo to be maximally similar to those from the training photos. Experimental results show that: 1) the active graphlet path accurately predicts human gaze shifting, and thus is more indicative for photo aesthetics than conventional saliency maps and 2) the cropped photos produced by our approach outperform its competitors in both qualitative and quantitative comparisons.

Information materials and communication activities of ARAO

International Nuclear Information System (INIS)

Kralj, M.; Zeleznik, N.; Mele, I.

2002-01-01

ARAO is a public agency responsible for implementing all aspects of radioactive waste management. Its most important mission is certainly the siting of a repository for all low and intermediate level waste in Slovenia. ARAO carries out different communication and information activities to improve the public acceptability of such a facility among the general public, local community, public opinion makers and decision makers. These activities include running of the Visitors' Centre, publishing various informative publications on radioactivity and radiation, nuclear technology and radioactive waste management. ARAO also supports study circles and local information media, has its own web site and communicates with journalists working for Slovenian magazines, newspapers, TV and radio stations. Communication and information activities are assigned about 10 % of the yearly budget of the agency. Most of the finance is spent on running the Visitors' Centre and on publishing information materials for school children, youngsters and teachers. Information on radioactivity and on the work of ARAO provided by the agency is intended to increase the public interest in nuclear issues and to prepare the foundation for an informed and responsible decision on the radioactive waste repository in Slovenia. ARAO has also implemented direct communication, such as workshops, study circles and representations for the local community leadership, and these activities will be intensified in the near future.(author)

Information Society and teacher training. E-activities and collaborative learning

Directory of Open Access Journals (Sweden)

Miguel Ángel Martín Sánchez

2012-01-01

Full Text Available In this article, virtual educational spaces are depicted as new learning communities and contexts, i.e. where (human interaction and the forging of educational relationships are possible. This does not include, however, other spatial, geographical or temporal limitations. In this study, Internet is presented as a universal tool for both teaching staff and general users. It is used for searching specific information, exchanging ideas, or discussing research. Within the context of this new virtual educational area, the most suitable activities are those that foster the creation of knowledge and that promote experimentation and problem solving in an individual or group context. It also refers to activities that combine students’ previous knowledge with the new contents of virtual courses. In this way, there is greater autonomous learning and problem solving of specific theoretical questions. We also examine core didactic activities that are used in virtual education areas, that is, in terms of collaborative learning.

75 FR 33898 - Agency Information Collection (Monthly Certification of Flight Training) Activity Under OMB Review

Science.gov (United States)

2010-06-15

... collection of information through http://www.Regulations.gov or to VA's OMB Desk Officer, OMB Human Resources... Certification of Flight Training) Activity Under OMB Review AGENCY: Veterans Benefits Administration, Department... Flight Training (under Chapters 30 and 32, Title 38 U.S.C.; Chapters 1606 and 1607, Title 10 U.S.C.; and...

The Cool and Belkin Faceted Classification of Information Interactions Revisited

Science.gov (United States)

Huvila, Isto

2010-01-01

Introduction: The complexity of human information activity is a challenge for both practice and research in information sciences and information management. Literature presents a wealth of approaches to analytically structure and make sense of human information activity including a faceted classification model of information interactions published…

The spatial relationship between human activities and C, N, P, S in soil based on landscape geochemical interpretation.

Science.gov (United States)

Yu, Huan; He, Zheng-Wei; Kong, Bo; Weng, Zhong-Yin; Shi, Ze-Ming

2016-04-01

The development and formation of chemical elements in soil are affected not only by parent material, climate, biology, and topology factors, but also by human activities. As the main elements supporting life on earth system, the C, N, P, S cycles in soil have been altered by human activity through land-use change, agricultural intensification, and use of fossil fuels. The present study attempts to analyze whether and how a connection can be made between macroscopical control and microcosmic analysis, to estimate the impacts of human activities on C, N, P, S elements in soil, and to determine a way to describe the spatial relationship between C, N, P, S in soil and human activities, by means of landscape geochemical theories and methods. In addition, the disturbances of human activities on C, N, P, S are explored through the analysis of the spatial relationship between human disturbed landscapes and element anomalies, thereby determining the diversified rules of the effects. The study results show that the rules of different landscapes influencing C, N, P, S elements are diversified, and that the C element is closely related to city landscapes; furthermore, the elements N, P, and S are shown to be closely related to river landscapes; the relationships between mine landscapes and the elements C, N, P, S are apparent; the relationships between the elements C, N, P, S and road landscapes are quite close, which shows that road landscapes have significant effects on these elements. Therefore, the conclusion is drawn that the response mechanism analysis of human disturbance and soil chemical element aggregation is feasible, based on the landscape geochemical theories and methods. The spatial information techniques, such as remote sensing and geographic information systems, are effective for research on soil element migration.

The role of human factors when evaluating information accountability for eHealth systems.

Science.gov (United States)

Gajanayake, Randike; Sahama, Tony; Lane, Bill

2013-01-01

The availability of health information is rapidly increasing; its expansion and proliferation is inevitable. At the same time, breeding of health information silos is an unstoppable and relentless exercise. Information security and privacy concerns are therefore major barriers in the eHealth socio-eco system. We proposed Information Accountability as a measurable human factor that should eliminate and mitigate security concerns. Information accountability measures would be practicable and feasible if legislative requirements are also embedded. In this context, information accountability constitutes a key component for the development of effective information technology requirements for health information system. Our conceptual approach to measuring human factors related to information accountability in eHealth is presented in this paper. Measuring the human factors associated with information accountability can benefit from extant theories from information systems research and business management. However, the application of such theories must clearly address the specialised nature of the application context coupled with the role of the users within the context.

Assessment of Nicotine Exposure From Active Human Cigarette Smoking Time

Directory of Open Access Journals (Sweden)

Cahours Xavier

2017-09-01

Full Text Available The burning of a cigarette is a series of consecutive sequences of both passive and active burnings when a smoking cycle is applied to the cigarette. A previous study, using a smoking machine, showed that cigarette nicotine yields are dependent linearly on the difference between the time of smouldering (passive burning and the time of smoking (active burning. It is predicted that the smoker’s nicotine yield increases when the intensity of smoking increases, i.e., when the time to smoke a cigarette (smoking time decreases. Note that observations made on machines might not be comparable to human behaviours. The aim of this study was to determine whether nicotine mouth-level exposure could be predicted through measurement of human smoking time. A smoking behaviour study was conducted to compare human smoking nicotine yields obtained from both filter tip analysis and the cigarette burning time model. Results showed that smokers’ exposure to the smoke depends essentially on the speed at which the cigarette is smoked. An increase in human smoking intensity, resulting in a decrease in smoking time, generates an increase in smoke exposure, whatever the puff number, puff duration, puff volume and filter ventilation (open or blocked. The association of a machine smoking yield with a corresponding smoking time, and the time taken by a consumer to smoke the cigarette would provide information on the exposure to smoke constituents in a simple and effective manner.

Fire, Climate, and Human Activity: A Combustive Combination

Science.gov (United States)

Kehrwald, N. M.; Battistel, D.; Argiriadis, E.; Barbante, C.; Barber, L. B.; Fortner, S. K.; Jasmann, J.; Kirchgeorg, T.; Zennaro, P.

2017-12-01

Ice and lake core records demonstrate that fires caused by human activity can dominate regional biomass burning records in the Common Era. These major increases in fires are often associated with extensive land use change such as an expansion in agriculture. Regions with few humans, relatively stable human populations and/or unvarying land use often have fire histories that are dominated by climate parameters such as temperature and precipitation. Here, we examine biomass burning recorded in ice cores from northern Greenland (NEEM, (77°27'N; 51°3.6'W), Alaska (Juneau Icefield, 58° 35' N; 134° 29'W) and East Antarctica (EPICA DOME C; 75°06'S; 123°21'E), along with New Zealand lake cores to investigate interactions between climate, fire and human activity. Biomarkers such as levoglucosan, and its isomers mannosan and galactosan, can only be produced by cellulose combustion and therefore are specific indicators of past fire activity archived in ice and lake cores. These fire histories add another factor to climate proxies from the same core, and provide a comparison to regional fire syntheses from charcoal records and climate models. For example, fire data from the JSBACH-Spitfire model for the past 2000 years demonstrates that a climate-only scenario would not increase biomass burning in high northern latitudes for the past 2000 years, while NEEM ice core and regional pollen records demonstrate both increased fire activity and land use change that may be ascribed to human activity. Additional biomarkers such as fecal sterols in lake sediments can determine when people were in an area, and can help establish if an increased human presence in an area corresponds with intensified fire activity. This combination of specific biomarkers, other proxy data, and model output can help determine the relative impact of humans versus climate factors on regional fire activity.

Brain Activation During Singing: "Clef de Sol Activation" Is the "Concert" of the Human Brain.

Science.gov (United States)

Mavridis, Ioannis N; Pyrgelis, Efstratios-Stylianos

2016-03-01

Humans are the most complex singers in nature, and the human voice is thought by many to be the most beautiful musical instrument. Aside from spoken language, singing represents a second mode of acoustic communication in humans. The purpose of this review article is to explore the functional anatomy of the "singing" brain. Methodologically, the existing literature regarding activation of the human brain during singing was carefully reviewed, with emphasis on the anatomic localization of such activation. Relevant human studies are mainly neuroimaging studies, namely functional magnetic resonance imaging and positron emission tomography studies. Singing necessitates activation of several cortical, subcortical, cerebellar, and brainstem areas, served and coordinated by multiple neural networks. Functionally vital cortical areas of the frontal, parietal, and temporal lobes bilaterally participate in the brain's activation process during singing, confirming the latter's role in human communication. Perisylvian cortical activity of the right hemisphere seems to be the most crucial component of this activation. This also explains why aphasic patients due to left hemispheric lesions are able to sing but not speak the same words. The term clef de sol activation is proposed for this crucial perisylvian cortical activation due to the clef de sol shape of the topographical distribution of these cortical areas around the sylvian fissure. Further research is needed to explore the connectivity and sequence of how the human brain activates to sing.

Active Learning Using Hint Information.

Science.gov (United States)

Li, Chun-Liang; Ferng, Chun-Sung; Lin, Hsuan-Tien

2015-08-01

The abundance of real-world data and limited labeling budget calls for active learning, an important learning paradigm for reducing human labeling efforts. Many recently developed active learning algorithms consider both uncertainty and representativeness when making querying decisions. However, exploiting representativeness with uncertainty concurrently usually requires tackling sophisticated and challenging learning tasks, such as clustering. In this letter, we propose a new active learning framework, called hinted sampling, which takes both uncertainty and representativeness into account in a simpler way. We design a novel active learning algorithm within the hinted sampling framework with an extended support vector machine. Experimental results validate that the novel active learning algorithm can result in a better and more stable performance than that achieved by state-of-the-art algorithms. We also show that the hinted sampling framework allows improving another active learning algorithm designed from the transductive support vector machine.

Summary of human social, cultural, behavioral (HSCB) modeling for information fusion panel discussion

Science.gov (United States)

Blasch, Erik; Salerno, John; Kadar, Ivan; Yang, Shanchieh J.; Fenstermacher, Laurie; Endsley, Mica; Grewe, Lynne

2013-05-01

During the SPIE 2012 conference, panelists convened to discuss "Real world issues and challenges in Human Social/Cultural/Behavioral modeling with Applications to Information Fusion." Each panelist presented their current trends and issues. The panel had agreement on advanced situation modeling, working with users for situation awareness and sense-making, and HSCB context modeling in focusing research activities. Each panelist added different perspectives based on the domain of interest such as physical, cyber, and social attacks from which estimates and projections can be forecasted. Also, additional techniques were addressed such as interest graphs, network modeling, and variable length Markov Models. This paper summarizes the panelists discussions to highlight the common themes and the related contrasting approaches to the domains in which HSCB applies to information fusion applications.

Current trends in dog-human communication:do dogs inform?

OpenAIRE

Kaminski, Juliane; Piotti, Patrizia

2016-01-01

Domestic dogs are especially skillful at understanding human forms of communication. Evidence suggests that dogs’ skills in this domain might be an adaptation to life with humans and the result of selection processes during domestication. One question that has sparked a lot of research in recent years is to what extent dogs’ communication is in any way comparable to that of human infants. Here, we discuss recent research that has examined the extent to which dogs communicate to inform others....

Human Activity Recognition in AAL Environments Using Random Projections

Directory of Open Access Journals (Sweden)

Robertas Damaševičius

2016-01-01

Full Text Available Automatic human activity recognition systems aim to capture the state of the user and its environment by exploiting heterogeneous sensors attached to the subject’s body and permit continuous monitoring of numerous physiological signals reflecting the state of human actions. Successful identification of human activities can be immensely useful in healthcare applications for Ambient Assisted Living (AAL, for automatic and intelligent activity monitoring systems developed for elderly and disabled people. In this paper, we propose the method for activity recognition and subject identification based on random projections from high-dimensional feature space to low-dimensional projection space, where the classes are separated using the Jaccard distance between probability density functions of projected data. Two HAR domain tasks are considered: activity identification and subject identification. The experimental results using the proposed method with Human Activity Dataset (HAD data are presented.

Human Activity Recognition in AAL Environments Using Random Projections.

Science.gov (United States)

Damaševičius, Robertas; Vasiljevas, Mindaugas; Šalkevičius, Justas; Woźniak, Marcin

2016-01-01

Automatic human activity recognition systems aim to capture the state of the user and its environment by exploiting heterogeneous sensors attached to the subject's body and permit continuous monitoring of numerous physiological signals reflecting the state of human actions. Successful identification of human activities can be immensely useful in healthcare applications for Ambient Assisted Living (AAL), for automatic and intelligent activity monitoring systems developed for elderly and disabled people. In this paper, we propose the method for activity recognition and subject identification based on random projections from high-dimensional feature space to low-dimensional projection space, where the classes are separated using the Jaccard distance between probability density functions of projected data. Two HAR domain tasks are considered: activity identification and subject identification. The experimental results using the proposed method with Human Activity Dataset (HAD) data are presented.

Information Flow Analysis for Human-System Interaction in the SG Level Control

International Nuclear Information System (INIS)

Kim, Jong Hyun; Shin, Yeong Cheol

2008-01-01

Interaction between automatic control and operators is one of main issues in the application of automation technology. Inappropriate information from automatic control systems causes unexpected problems in human-automation collaboration. Poor information becomes critical, especially when the operator takes over the control from an automation system. Operators cannot properly handle the situation transferred from the automatic mode because of inadequate situation awareness, if the operator is out-of-the loop and the automatic control system fails. Some cases of unplanned reactor trips during the transition between the manual mode and the automatic mode are reported in nuclear power plants (NPPs). Among unplanned reactor trips since 2002, two cases were partially caused by automation-related failures of steam generator (SG) level control. This paper conducts information flow analysis to identify information and control requirement for human-system interaction of SG level control. At first, this paper identifies the level of automation in SG level control systems and then function allocation between system control and human operators. Then information flow analysis for monitoring and transition of automation is performed by adapting job process chart. Information and control requirements will be useful as an input for the human-system interface (HSI) design of SG level control

78 FR 68428 - Agency Information Collection Activities; Submission to the Office of Management and Budget for...

Science.gov (United States)

2013-11-14

... authorized by Title VII, Part A, Subpart 1 of the Higher Education Act of 1965, as amended and provides up to... of Fine Arts level in selected fields of arts, humanities, and social sciences. Fellows are selected... DEPARTMENT OF EDUCATION [Docket No.: ED-2013-ICCD-0112] Agency Information Collection Activities...

Degalactosylated/desialylated human serum containing GcMAF induces macrophage phagocytic activity and in vivo antitumor activity.

Science.gov (United States)

Kuchiike, Daisuke; Uto, Yoshihiro; Mukai, Hirotaka; Ishiyama, Noriko; Abe, Chiaki; Tanaka, Daichi; Kawai, Tomohito; Kubo, Kentaro; Mette, Martin; Inui, Toshio; Endo, Yoshio; Hori, Hitoshi

2013-07-01

The group-specific component protein-derived macrophage-activating factor (GcMAF) has various biological activities, such as macrophage activation and antitumor activity. Clinical trials of GcMAF have been carried out for metastatic breast cancer, prostate cancer, and metastatic colorectal cancer. In this study, despite the complicated purification process of GcMAF, we used enzymatically-treated human serum containing GcMAF with a considerable macrophage-stimulating activity and antitumor activity. We detected GcMAF in degalactosylated/desialylated human serum by western blotting using an anti-human Gc globulin antibody, and Helix pomatia agglutinin lectin. We also found that GcMAF-containing human serum significantly enhanced the phagocytic activity of mouse peritoneal macrophages and extended the survival time of mice bearing Ehrlich ascites tumors. We demonstrated that GcMAF-containing human serum can be used as a potential macrophage activator for cancer immunotherapy.

EDUCATIONAL NETWORKING: HUMAN VIEW TO CYBER DEFENSE

Directory of Open Access Journals (Sweden)

Oleksandr Yu. Burov

2016-05-01

Full Text Available Networks play more and more important role for human life and activity, both in critical occupations (aviation, power industry, military missions etc., and in everyday life (home computers, education, leisure. Interaction between human and other elements of human-machine system have changed, because they coincide in the information habitat. Human-system integration has reached new level of defense needs. The paper will introduce features of information society in respect of a human and corresponding changes in HF/E: (1 information becomes a tool, goal, mean and environment of a human activity, (2 it becomes a part of the human nature and this makes him/her unprotected, (3 human psycho-physiological status becomes not only a basis of effective performance, but an object of control and support, and means of a human security and safety should be a part of information habitat, (4 networking environment becomes an independent actor in a human activity. Accompanying cyber-security challenges and tasks are discussed, as well as types of networking threats and Human View regarding the cyber security challenges.

NASA Human Health and Performance Information Architecture Panel

Science.gov (United States)

Johnson-Throop, Kathy; Kadwa, Binafer; VanBaalen, Mary

2014-01-01

The Human Health and Performance (HH&P) Directorate at NASA's Johnson Space Center has a mission to enable optimization of human health and performance throughout all phases of spaceflight. All HH&P functions are ultimately aimed at achieving this mission. Our activities enable mission success, optimizing human health and productivity in space before, during, and after the actual spaceflight experience of our crews, and include support for ground-based functions. Many of our spaceflight innovations also provide solutions for terrestrial challenges, thereby enhancing life on Earth.

78 FR 56771 - Agency Information Collection Activities: Information Collection Renewal; Comment Request...

Science.gov (United States)

2013-09-13

... Activities: Information Collection Renewal; Comment Request; Affiliate Marketing AGENCIES: Office of the... information received from an affiliate to make a solicitation for marketing purposes to the consumer, unless... solicitation for marketing purposes to consumers. If a person receives certain consumer eligibility information...

An Analysis of Audio Features to Develop a Human Activity Recognition Model Using Genetic Algorithms, Random Forests, and Neural Networks

Directory of Open Access Journals (Sweden)

Carlos E. Galván-Tejada

2016-01-01

Full Text Available This work presents a human activity recognition (HAR model based on audio features. The use of sound as an information source for HAR models represents a challenge because sound wave analyses generate very large amounts of data. However, feature selection techniques may reduce the amount of data required to represent an audio signal sample. Some of the audio features that were analyzed include Mel-frequency cepstral coefficients (MFCC. Although MFCC are commonly used in voice and instrument recognition, their utility within HAR models is yet to be confirmed, and this work validates their usefulness. Additionally, statistical features were extracted from the audio samples to generate the proposed HAR model. The size of the information is necessary to conform a HAR model impact directly on the accuracy of the model. This problem also was tackled in the present work; our results indicate that we are capable of recognizing a human activity with an accuracy of 85% using the HAR model proposed. This means that minimum computational costs are needed, thus allowing portable devices to identify human activities using audio as an information source.

Information Technology: A challenge to the Human Factors Society?

DEFF Research Database (Denmark)

Rasmussen, Jens

1988-01-01

In his presidential address at the annual meeting of the Human Factors Society, Julian Christensen urged the members of the society to spread the gospel and to persuade the members of other professional societies such as psychologists,sociologists and engineers to join the Human Factors Society......, the argument being that advanced technology requires a cross-disciplinary approach to human factors problems. In the present note, I would like to support this presidential effort. In fact, I will go further in that direction and argue that the present fast pace of information technology threatens to overrun...

Human area MT+ shows load-dependent activation during working memory maintenance with continuously morphing stimulation.

Science.gov (United States)

Galashan, Daniela; Fehr, Thorsten; Kreiter, Andreas K; Herrmann, Manfred

2014-07-11

Initially, human area MT+ was considered a visual area solely processing motion information but further research has shown that it is also involved in various different cognitive operations, such as working memory tasks requiring motion-related information to be maintained or cognitive tasks with implied or expected motion.In the present fMRI study in humans, we focused on MT+ modulation during working memory maintenance using a dynamic shape-tracking working memory task with no motion-related working memory content. Working memory load was systematically varied using complex and simple stimulus material and parametrically increasing retention periods. Activation patterns for the difference between retention of complex and simple memorized stimuli were examined in order to preclude that the reported effects are caused by differences in retrieval. Conjunction analysis over all delay durations for the maintenance of complex versus simple stimuli demonstrated a wide-spread activation pattern. Percent signal change (PSC) in area MT+ revealed a pattern with higher values for the maintenance of complex shapes compared to the retention of a simple circle and with higher values for increasing delay durations. The present data extend previous knowledge by demonstrating that visual area MT+ presents a brain activity pattern usually found in brain regions that are actively involved in working memory maintenance.

Similarity of hydrolyzing activity of human and rat small intestinal disaccharidases

Directory of Open Access Journals (Sweden)

Oku T

2011-06-01

Full Text Available Tsuneyuki Oku¹, Kenichi Tanabe¹, Shigeharu Ogawa², Naoki Sadamori¹, Sadako Nakamura¹¹Graduate School of Human Health Science, University of Nagasaki, Siebold, Nagayo, Japan; ²Juzenkai Hospital, Kagomachi, Nagasaki, JapanBackground: The purpose of this study was to clarify whether it is possible to extrapolate results from studies of the hydrolyzing activity of disaccharidases from rats to humans.Materials and methods: We measured disaccharidase activity in humans and rats using identical preparation and assay methods, and investigated the similarity in hydrolyzing activity. Small intestinal samples without malignancy were donated by five patients who had undergone bladder tumor surgery, and homogenates were prepared to measure disaccharidase activity. Adult rat homogenates were prepared using small intestine.Results: Maltase activity was the highest among the five disaccharidases, followed by sucrase and then palatinase in humans and rats. Trehalase activity was slightly lower than that of palatinase in humans and was similar to that of sucrase in rats. Lactase activity was the lowest in humans, but was similar to that of palatinase in rats. Thus, the hydrolyzing activity of five disaccharidases was generally similar in humans and rats. The relative activity of sucrose and palatinase versus maltase was generally similar between humans and rats. The ratio of rat to human hydrolyzing activity of maltase, sucrase, and palatinase was 1.9–3.1, but this was not a significant difference. Leaf extract from Morus alba strongly inhibited the activity of maltase, sucrase, and palatinase, but not trehalase and lactase, and the degree of inhibition was similar in humans and rats. L-arabinose mildly inhibited sucrase activity, but hardly inhibited the activity of maltase, palatinase, trehalase and lactase in humans and rats. The digestibility of 1-kestose, galactosylsucrose, and panose by small intestinal enzymes was very similar between humans and

Human activity spaces and plague risks in three contrasting landscapes in Lushoto District, Tanzania.

Science.gov (United States)

Hieronimo, Proches; Gulinck, Hubert; Kimaro, Didas N; Mulungu, Loth S; Kihupi, Nganga I; Msanya, Balthazar M; Leirs, Herwig; Deckers, Jozef A

2014-07-01

Since 1980 plague has been a human threat in the Western Usambara Mountains in Tanzania. However, the spatial-temporal pattern of plague occurrence remains poorly understood. The main objective of this study was to gain understanding of human activity patterns in relation to spatial distribution of fleas in Lushoto District. Data were collected in three landscapes differing in plague incidence. Field survey coupled with Geographic Information System (GIS) and physical sample collections were used to collect data in wet (April to June 2012) and dry (August to October 2012) seasons. Data analysis was done using GIS, one-way ANOVA and nonparametric statistical tools. The degree of spatial co-occurrence of potential disease vectors (fleas) and humans in Lushoto focus differs significantly (p ≤ 0.05) among the selected landscapes, and in both seasons. This trend gives a coarse indication of the possible association of the plague outbreaks and the human frequencies of contacting environments with fleas. The study suggests that plague surveillance and control programmes at landscape scale should consider the existence of plague vector contagion risk gradient from high to low incidence landscapes due to human presence and intensity of activities.

Information-integration category learning and the human uncertainty response.

Science.gov (United States)

Paul, Erick J; Boomer, Joseph; Smith, J David; Ashby, F Gregory

2011-04-01

The human response to uncertainty has been well studied in tasks requiring attention and declarative memory systems. However, uncertainty monitoring and control have not been studied in multi-dimensional, information-integration categorization tasks that rely on non-declarative procedural memory. Three experiments are described that investigated the human uncertainty response in such tasks. Experiment 1 showed that following standard categorization training, uncertainty responding was similar in information-integration tasks and rule-based tasks requiring declarative memory. In Experiment 2, however, uncertainty responding in untrained information-integration tasks impaired the ability of many participants to master those tasks. Finally, Experiment 3 showed that the deficit observed in Experiment 2 was not because of the uncertainty response option per se, but rather because the uncertainty response provided participants a mechanism via which to eliminate stimuli that were inconsistent with a simple declarative response strategy. These results are considered in the light of recent models of category learning and metacognition.

Quantifying multi-dimensional attributes of human activities at various geographic scales based on smartphone tracking.

Science.gov (United States)

Zhou, Xiaolu; Li, Dongying

2018-05-09

Advancement in location-aware technologies, and information and communication technology in the past decades has furthered our knowledge of the interaction between human activities and the built environment. An increasing number of studies have collected data regarding individual activities to better understand how the environment shapes human behavior. Despite this growing interest, some challenges exist in collecting and processing individual's activity data, e.g., capturing people's precise environmental contexts and analyzing data at multiple spatial scales. In this study, we propose and implement an innovative system that integrates smartphone-based step tracking with an app and the sequential tile scan techniques to collect and process activity data. We apply the OpenStreetMap tile system to aggregate positioning points at various scales. We also propose duration, step and probability surfaces to quantify the multi-dimensional attributes of activities. Results show that, by running the app in the background, smartphones can measure multi-dimensional attributes of human activities, including space, duration, step, and location uncertainty at various spatial scales. By coordinating Global Positioning System (GPS) sensor with accelerometer sensor, this app can save battery which otherwise would be drained by GPS sensor quickly. Based on a test dataset, we were able to detect the recreational center and sports center as the space where the user was most active, among other places visited. The methods provide techniques to address key issues in analyzing human activity data. The system can support future studies on behavioral and health consequences related to individual's environmental exposure.

Unraveling dynamics of human physical activity patterns in chronic pain conditions

Science.gov (United States)

Paraschiv-Ionescu, Anisoara; Buchser, Eric; Aminian, Kamiar

2013-06-01

Chronic pain is a complex disabling experience that negatively affects the cognitive, affective and physical functions as well as behavior. Although the interaction between chronic pain and physical functioning is a well-accepted paradigm in clinical research, the understanding of how pain affects individuals' daily life behavior remains a challenging task. Here we develop a methodological framework allowing to objectively document disruptive pain related interferences on real-life physical activity. The results reveal that meaningful information is contained in the temporal dynamics of activity patterns and an analytical model based on the theory of bivariate point processes can be used to describe physical activity behavior. The model parameters capture the dynamic interdependence between periods and events and determine a `signature' of activity pattern. The study is likely to contribute to the clinical understanding of complex pain/disease-related behaviors and establish a unified mathematical framework to quantify the complex dynamics of various human activities.

Learning dictionaries of sparse codes of 3D movements of body joints for real-time human activity understanding.

Science.gov (United States)

Qi, Jin; Yang, Zhiyong

2014-01-01

Real-time human activity recognition is essential for human-robot interactions for assisted healthy independent living. Most previous work in this area is performed on traditional two-dimensional (2D) videos and both global and local methods have been used. Since 2D videos are sensitive to changes of lighting condition, view angle, and scale, researchers begun to explore applications of 3D information in human activity understanding in recently years. Unfortunately, features that work well on 2D videos usually don't perform well on 3D videos and there is no consensus on what 3D features should be used. Here we propose a model of human activity recognition based on 3D movements of body joints. Our method has three steps, learning dictionaries of sparse codes of 3D movements of joints, sparse coding, and classification. In the first step, space-time volumes of 3D movements of body joints are obtained via dense sampling and independent component analysis is then performed to construct a dictionary of sparse codes for each activity. In the second step, the space-time volumes are projected to the dictionaries and a set of sparse histograms of the projection coefficients are constructed as feature representations of the activities. Finally, the sparse histograms are used as inputs to a support vector machine to recognize human activities. We tested this model on three databases of human activities and found that it outperforms the state-of-the-art algorithms. Thus, this model can be used for real-time human activity recognition in many applications.

Learning dictionaries of sparse codes of 3D movements of body joints for real-time human activity understanding.

Directory of Open Access Journals (Sweden)

Jin Qi

Full Text Available Real-time human activity recognition is essential for human-robot interactions for assisted healthy independent living. Most previous work in this area is performed on traditional two-dimensional (2D videos and both global and local methods have been used. Since 2D videos are sensitive to changes of lighting condition, view angle, and scale, researchers begun to explore applications of 3D information in human activity understanding in recently years. Unfortunately, features that work well on 2D videos usually don't perform well on 3D videos and there is no consensus on what 3D features should be used. Here we propose a model of human activity recognition based on 3D movements of body joints. Our method has three steps, learning dictionaries of sparse codes of 3D movements of joints, sparse coding, and classification. In the first step, space-time volumes of 3D movements of body joints are obtained via dense sampling and independent component analysis is then performed to construct a dictionary of sparse codes for each activity. In the second step, the space-time volumes are projected to the dictionaries and a set of sparse histograms of the projection coefficients are constructed as feature representations of the activities. Finally, the sparse histograms are used as inputs to a support vector machine to recognize human activities. We tested this model on three databases of human activities and found that it outperforms the state-of-the-art algorithms. Thus, this model can be used for real-time human activity recognition in many applications.

Information and Knowledge Management in the Scope of the Information Security practices: the human factor within Organizations

Directory of Open Access Journals (Sweden)

Luciana Emirena Santos Carneiro

2013-08-01

Full Text Available The security of informational assets has always been a corporate requirement. These assets can be scaled in three main spheres, namely, people, organizational processes and technologies. The internet, the web, the broadcast of networks, and the growing presence of technology both in people's lives and in organizational contexts have caused profound transformations in the intrinsic processes that constitute personal and organizational routines. On the one hand, these changes provided by the technological progress have fostered competitiveness and decentralization; on the other hand, they require better management, control, security and protection for information and knowledge. This article presents the results of an investigation within information security realm, focusing on the human aspects of knowledge and information management related to security practices. Using a quality-quantitative approach, we identify behavioral actions and profiles of employees of a company in the field of healthcare, which reveal some connections with information security failures. We conclude that the human element is a relevant variable, even a critical one, for the management of information security in organizations.

Physics-based and human-derived information fusion for analysts

Science.gov (United States)

Blasch, Erik; Nagy, James; Scott, Steve; Okoth, Joshua; Hinman, Michael

2017-05-01

Recent trends in physics-based and human-derived information fusion (PHIF) have amplified the capabilities of analysts; however with the big data opportunities there is a need for open architecture designs, methods of distributed team collaboration, and visualizations. In this paper, we explore recent trends in the information fusion to support user interaction and machine analytics. Challenging scenarios requiring PHIF include combing physics-based video data with human-derived text data for enhanced simultaneous tracking and identification. A driving effort would be to provide analysts with applications, tools, and interfaces that afford effective and affordable solutions for timely decision making. Fusion at scale should be developed to allow analysts to access data, call analytics routines, enter solutions, update models, and store results for distributed decision making.

Human Activity Recognition in Real-Times Environments using Skeleton Joints

Directory of Open Access Journals (Sweden)

Ajay Kumar

2016-06-01

Full Text Available In this research work, we proposed a most effective noble approach for Human activity recognition in real-time environments. We recognize several distinct dynamic human activity actions using kinect. A 3D skeleton data is processed from real-time video gesture to sequence of frames and getter skeleton joints (Energy Joints, orientation, rotations of joint angles from selected setof frames. We are using joint angle and orientations, rotations information from Kinect therefore less computation required. However, after extracting the set of frames we implemented several classification techniques Principal Component Analysis (PCA with several distance based classifiers and Artificial Neural Network (ANN respectively with some variants for classify our all different gesture models. However, we conclude that use very less number of frame (10-15% for train our system efficiently from the entire set of gesture frames. Moreover, after successfully completion of our classification methods we clinch an excellent overall accuracy 94%, 96% and 98% respectively. We finally observe that our proposed system is more useful than comparing to other existing system, therefore our model is best suitable for real-time application such as in video games for player action/gesture recognition.

Increasing Awareness of Insider Information Security Threats in Human Resource Department

OpenAIRE

Burcin Cetin Karabat; Cagatay Karabat

2012-01-01

An insider threat for companies is defined as a threat caused by malicious user who is an employee company. In recent years, there are number of work on insider threats in information security technologies. These works shows that companies should increasingly and seriously should take into account these threats. Human factors in companies constitute one of the weakest links in information security technology and its products used in human resource (HR) management departments. In the literatur...

76 FR 61136 - Agency Information Collection Activities; New Information Collection Request: Commercial Driver...

Science.gov (United States)

2011-10-03

... managers. For at least 5,000 CMV driver participants, the information collection will occur twice... Administrator for Research and Information Technology. [FR Doc. 2011-25325 Filed 9-30-11; 8:45 am] BILLING CODE...-0225] Agency Information Collection Activities; New Information Collection Request: Commercial Driver...

Cybernics fusion of human, machine and information systems

CERN Document Server

Suzuki, Kenji; Hasegawa, Yasuhisa

2014-01-01

Cybernics plays a significant role in coping with an aging society using state-of-the-art technologies from engineering, clinical medicine and humanities. This new interdisciplinary field studies technologies that enhance, strengthen, and support physical and cognitive functions of human beings, based on the fusion of human, machine, and information systems. The design of a seamless interface for interaction between the interior and exterior of the human body is described in this book from diverse aspects such as the physical, neurophysiological, and cognitive levels. It is the first book to cover the many aspects of cybernics, allowing readers to understand the life support robotics technology for the elderly, including remote, in-home, hospital, institutional, community medical welfare, and vital-sensing systems. Serving as a valuable resource, this volume will interest not only graduate students, scientists, and engineers but also newcomers to the field of cybernics.

The Importance of Spatiotemporal Information in Biological Motion Perception: White Noise Presented with a Step-like Motion Activates the Biological Motion Area.

Science.gov (United States)

Callan, Akiko; Callan, Daniel; Ando, Hiroshi

2017-02-01

Humans can easily recognize the motion of living creatures using only a handful of point-lights that describe the motion of the main joints (biological motion perception). This special ability to perceive the motion of animate objects signifies the importance of the spatiotemporal information in perceiving biological motion. The posterior STS (pSTS) and posterior middle temporal gyrus (pMTG) region have been established by many functional neuroimaging studies as a locus for biological motion perception. Because listening to a walking human also activates the pSTS/pMTG region, the region has been proposed to be supramodal in nature. In this study, we investigated whether the spatiotemporal information from simple auditory stimuli is sufficient to activate this biological motion area. We compared spatially moving white noise, having a running-like tempo that was consistent with biological motion, with stationary white noise. The moving-minus-stationary contrast showed significant differences in activation of the pSTS/pMTG region. Our results suggest that the spatiotemporal information of the auditory stimuli is sufficient to activate the biological motion area.

Application of GPS Trajectory Data for Investigating the Interaction between Human Activity and Landscape Pattern: A Case Study of the Lijiang River Basin, China

Directory of Open Access Journals (Sweden)

Jun Li

2016-06-01

Full Text Available The interaction between human activity and landscape pattern has been a hot research topic during the last few decades. However, scholars used to measure human activity by social, economic and humanistic indexes. These indexes cannot directly reflect human activity and are not suitable for fine-grained analysis due to the coarse spatial resolution. In view of the above problems, this paper proposes a method that obtains the intensity of human activity from GPS trajectory data, collects landscape information from remote sensing images and further analyzes the interaction between human activity and landscape pattern at a fine-grained scale. The Lijiang River Basin is selected as the study area. Experimental results show that human activity and landscape pattern interact synergistically in this area. Built-up land and water boost human activity, while woodland restrains human activity. The effect of human activity on landscape pattern differs by the land cover category. Overall, human activities make natural land, such as woodland and water, scattered and fragmented, but cause man-built land, such as built-up land and farmland, clustered and regular. Nevertheless, human activities inside and outside urban areas are the opposite. The research findings in this paper are helpful for designing and implementing sustainable management plans.

Big data challenges in decoding cortical activity in a human with quadriplegia to inform a brain computer interface.

Science.gov (United States)

Friedenberg, David A; Bouton, Chad E; Annetta, Nicholas V; Skomrock, Nicholas; Mingming Zhang; Schwemmer, Michael; Bockbrader, Marcia A; Mysiw, W Jerry; Rezai, Ali R; Bresler, Herbert S; Sharma, Gaurav

2016-08-01

Recent advances in Brain Computer Interfaces (BCIs) have created hope that one day paralyzed patients will be able to regain control of their paralyzed limbs. As part of an ongoing clinical study, we have implanted a 96-electrode Utah array in the motor cortex of a paralyzed human. The array generates almost 3 million data points from the brain every second. This presents several big data challenges towards developing algorithms that should not only process the data in real-time (for the BCI to be responsive) but are also robust to temporal variations and non-stationarities in the sensor data. We demonstrate an algorithmic approach to analyze such data and present a novel method to evaluate such algorithms. We present our methodology with examples of decoding human brain data in real-time to inform a BCI.

The Development of Strategic Thinking: Learning to Impact Human Systems in a Youth Activism Program

Science.gov (United States)

Larson, Reed; Hansen, David

2005-01-01

Human systems, including institutional systems and informal social networks, are a major arena of modern life. We argue that distinct forms of pragmatic reasoning or "strategic thinking" are required to exercise agency within such systems. This article explores the development of strategic thinking in a youth activism program in which young people…

Fostering women's leadership to advance human rights in informal ...

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

1 mai 2018 ... Fostering women's leadership to advance human rights in informal settlements ... gathering evidence to improve settlement conditions and raising the ... on behalf of poor communities threatened with forceful evictions and ...

Modelling temporal networks of human face-to-face contacts with public activity and individual reachability

Science.gov (United States)

Zhang, Yi-Qing; Cui, Jing; Zhang, Shu-Min; Zhang, Qi; Li, Xiang

2016-02-01

Modelling temporal networks of human face-to-face contacts is vital both for understanding the spread of airborne pathogens and word-of-mouth spreading of information. Although many efforts have been devoted to model these temporal networks, there are still two important social features, public activity and individual reachability, have been ignored in these models. Here we present a simple model that captures these two features and other typical properties of empirical face-to-face contact networks. The model describes agents which are characterized by an attractiveness to slow down the motion of nearby people, have event-triggered active probability and perform an activity-dependent biased random walk in a square box with periodic boundary. The model quantitatively reproduces two empirical temporal networks of human face-to-face contacts which are testified by their network properties and the epidemic spread dynamics on them.

78 FR 13057 - Agency Information Collection Activities; Information Collection; IT Dashboard Feedback Mechanism

Science.gov (United States)

2013-02-26

... Information Collection Activities; Information Collection; IT Dashboard Feedback Mechanism AGENCY: Office of... previously approved information collection requirement regarding IT Dashboard Feedback Mechanism. DATES... Collection 3090- 0285, IT Dashboard Feedback Mechanism, by any of the following methods: Regulations.gov...

Human subject research: reporting ethics approval and informed consent in 3 chiropractic journals.

Science.gov (United States)

Lawrence, Dana J

2011-11-01

To date, there have been no reports of ethics board approval or informed consent within the chiropractic literature or within chiropractic research. The purpose of this study was to assess the reporting of ethics approval and informed consent in articles published during the 2008 volume year of 3 chiropractic research journals included in PubMed. A quantitative assessment of the articles published in each journal for the 2008 volume year was performed. Information collected included if the article involved human subject research, if it reported ethics board approval, and if informed consent was given to subjects. Data were collected as descriptive statistics (frequency counts and percentages). In aggregate, 50 articles of a total of 143 published involved human subject research (35%). 44 reported ethics board approval (88%), and 28 reported that informed consent had been obtained (56%). Forty-five percent of articles published in the Journal of Manipulative and Physiological Therapeutics involved human subject research (39/87), of which 95% reported ethics board approval (37/39) and 64% reported informed consent (25/39); 12.5% of articles from the Journal of the Canadian Chiropractic Association involved human subject research (5/40), of which 80% reported ethics board approval (4/5) and 40% reported informed consent (2/5); and 37.5% of articles published in Chiropractic and Osteopathy involved human subject research (6/16), of which 50% reported ethics board approval (3/6) and 17% reported informed consent (1/6). Overall, most articles reported ethics approval, and more than half reported consent. This was harmonious with research on this topic from other disciplines. This situation indicates a need for continued quality improvement and for better instruction and dissemination of information on these issues to researchers, to manuscript reviewers, to journal editors, and to the readers. Copyright © 2011 National University of Health Sciences. Published by Mosby

78 FR 18620 - Agency Information Collection Activities: Extension, Without Change, of an Existing Information...

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2013-03-27

... information technology, e.g., permitting electronic submission of responses. Overview of This Information... enforcement authority under the 287(g) program. This information is used by program managers and trainers in... Information Collection Activities: Extension, Without Change, of an Existing Information Collection; Comment...

Human activities affecting trace gases and climate

International Nuclear Information System (INIS)

Braatz, B.; Ebert, C.

1990-01-01

The Earth's climate has been in a constant state of change throughout geologic time due to natural perturbations in the global geobiosphere. However, various human activities have the potential to cause future global warming over a relatively short amount of time. These activities, which affect the Earth's climate by altering the concentrations of trace gases in the atmosphere, include energy consumption, particularly fossil-fuel consumption; industrial processes (production and use of chlorofluorocarbons, halons, and chlorocarbons, landfilling of wastes, and cement manufacture); changes in land use patterns, particularly deforestation and biomass burning; and agricultural practices (waste burning, fertilizer usage, rice production, and animal husbandry). Population growth is an important underlying factor affecting the level of growth in each activity. This paper describes how the human activities listed above contribute to atmospheric change, the current pattern of each activity, and how levels of each activity have changed since the early part of this century

Exploring the human body space: A geographical information system based anatomical atlas

Directory of Open Access Journals (Sweden)

Antonio Barbeito

2016-06-01

Full Text Available Anatomical atlases allow mapping the anatomical structures of the human body. Early versions of these systems consisted of analogical representations with informative text and labeled images of the human body. With computer systems, digital versions emerged and the third and fourth dimensions were introduced. Consequently, these systems increased their efficiency, allowing more realistic visualizations with improved interactivity and functionality. The 4D atlases allow modeling changes over time on the structures represented. The anatomical atlases based on geographic information system (GIS environments allow the creation of platforms with a high degree of interactivity and new tools to explore and analyze the human body. In this study we expand the functions of a human body representation system by creating new vector data, topology, functions, and an improved user interface. The new prototype emulates a 3D GIS with a topological model of the human body, replicates the information provided by anatomical atlases, and provides a higher level of functionality and interactivity. At this stage, the developed system is intended to be used as an educational tool and integrates into the same interface the typical representations of surface and sectional atlases.

Safety Requirements and Modern Technical Requirements in Human Information Systems in Amman Hotels

OpenAIRE

Farouq Ahmad Alazzam; Sattam Rakan Allahawiah; Mohammad Nayef Alsarayreh; Kafa Hmoud Abdallah al Nawaiseh

2015-01-01

This study aimed to demonstrate the availability of Safety requirements and modern technical requirements in human information systems in Amman hotels. an the most important results of this study is the availability of security and safety requirements in human information systems In Amman hotels and The adequacy of the information that it provided .and show that all departments are not connected by appropriate and effective communication networks in adequate form . Also sophisticated operatin...

Towards an Informed Mexican and Mexican-American Citizenry: Bridging the Gap to Increase Human Capacity and Information Dissemination

Science.gov (United States)

Ramirez, M. D.; Ramirez, D. M.

2008-12-01

The research translation and community outreach goal of The University of Arizona's (UA) Superfund Basic Research Program and U.S.-Mexico Binational Center for Environmental Sciences and Toxicology is to increase human capacity and information dissemination to diverse stakeholders, including federal, state, and local government agencies as well as northern Mexican and border community stakeholders. Due to Arizona's demographic characteristics and the UA's proximity to the U.S. - Mexico border, activities target primarily Mexican and Mexican-American populations. With this in mind, a model has been established that pulls from human capital, community-based participatory research and public participation theories. The theories applied to our target population have resulted in the creation of a successful model that is used in both research translation and community outreach work. The model contains four components: community needs (participation), science translation (information), engagement (outreach), and training (education). Examples of how this model operates for various stakeholders involved in environmental science and health issues will be discussed. A case in point of how this model has been applied effectively is the partnership with promotoras (community health advocates) to do environmental science and health trainings to increase the knowledge base of specific populations disproportionately exposed to contaminants of concern. Additional case studies and methodologies used to develop innovative communicative tools (that takes into consideration cultural idiosyncrasies) for stakeholders at all levels in Arizona, the border, and Mexico will be highlighted, such as: 1) information sheets regarding local environmental issues for communities neighboring contaminated sites, 2) SciTransfer Bulletins targeting professional level stakeholders such as Project Managers, Community Involvement Coordinators and the general public, 3) coordinating technical and

Effect of information sharing on research and teaching activities of ...

African Journals Online (AJOL)

This study was designed to determine the effect of Information sharing on research and teaching activities of Academic Scientists in Federal Universities in the North- East Nigeria. Investigation was done on the activities of information sharing and the effect of information sharing on teaching and research activities. Survey ...

Historical Roots of Information Sciences and the Making of E-Humanities.

NARCIS (Netherlands)

van den Heuvel, C.M.J.M.; Bod, Rens; Maat, Jaap; Westeijn, Thijs

2014-01-01

Christine Borgman in Scholarship in the Digital Age. Information, Infrastructure and the Internet (2007) distinguishes between data of the natural sciences, social sciences and humanities. This distinction has been used as one of the arguments to explain why scholars in the humanities and social

78 FR 962 - Agency Information Collection Activities

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2013-01-07

... Records; and Standard Form 714: Financial Disclosure Report, which are directly related to... OFFICE OF THE DIRECTOR OF NATIONAL INTELLIGENCE Agency Information Collection Activities AGENCY... ODNI accepted responsibility from the Information Security Oversight Office for the maintenance of...

77 FR 15115 - Agency Information Collection Activities: Extension, without Change, of an Existing Information...

Science.gov (United States)

2012-03-14

..., mechanical, or other technological collection techniques or other forms of information technology, e.g...; or inquiries for additional information should be directed to: John Ramsay, Forms Program Manager, U... Information Collection Activities: Extension, without Change, of an Existing Information Collection; Comment...

Decision Support System Development for Human Extravehicular Activity

Data.gov (United States)

National Aeronautics and Space Administration — The extension of human presence into deep space will depend on how successfully human planetary extravehicular activities (EVAs) are conducted without real-time...

Active Learning by Querying Informative and Representative Examples.

Science.gov (United States)

Huang, Sheng-Jun; Jin, Rong; Zhou, Zhi-Hua

2014-10-01

Active learning reduces the labeling cost by iteratively selecting the most valuable data to query their labels. It has attracted a lot of interests given the abundance of unlabeled data and the high cost of labeling. Most active learning approaches select either informative or representative unlabeled instances to query their labels, which could significantly limit their performance. Although several active learning algorithms were proposed to combine the two query selection criteria, they are usually ad hoc in finding unlabeled instances that are both informative and representative. We address this limitation by developing a principled approach, termed QUIRE, based on the min-max view of active learning. The proposed approach provides a systematic way for measuring and combining the informativeness and representativeness of an unlabeled instance. Further, by incorporating the correlation among labels, we extend the QUIRE approach to multi-label learning by actively querying instance-label pairs. Extensive experimental results show that the proposed QUIRE approach outperforms several state-of-the-art active learning approaches in both single-label and multi-label learning.

Time-Elastic Generative Model for Acceleration Time Series in Human Activity Recognition.

Science.gov (United States)

Munoz-Organero, Mario; Ruiz-Blazquez, Ramona

2017-02-08

Body-worn sensors in general and accelerometers in particular have been widely used in order to detect human movements and activities. The execution of each type of movement by each particular individual generates sequences of time series of sensed data from which specific movement related patterns can be assessed. Several machine learning algorithms have been used over windowed segments of sensed data in order to detect such patterns in activity recognition based on intermediate features (either hand-crafted or automatically learned from data). The underlying assumption is that the computed features will capture statistical differences that can properly classify different movements and activities after a training phase based on sensed data. In order to achieve high accuracy and recall rates (and guarantee the generalization of the system to new users), the training data have to contain enough information to characterize all possible ways of executing the activity or movement to be detected. This could imply large amounts of data and a complex and time-consuming training phase, which has been shown to be even more relevant when automatically learning the optimal features to be used. In this paper, we present a novel generative model that is able to generate sequences of time series for characterizing a particular movement based on the time elasticity properties of the sensed data. The model is used to train a stack of auto-encoders in order to learn the particular features able to detect human movements. The results of movement detection using a newly generated database with information on five users performing six different movements are presented. The generalization of results using an existing database is also presented in the paper. The results show that the proposed mechanism is able to obtain acceptable recognition rates ( F = 0.77) even in the case of using different people executing a different sequence of movements and using different hardware.

Hierarchical Spatial Concept Formation Based on Multimodal Information for Human Support Robots.

Science.gov (United States)

Hagiwara, Yoshinobu; Inoue, Masakazu; Kobayashi, Hiroyoshi; Taniguchi, Tadahiro

2018-01-01

In this paper, we propose a hierarchical spatial concept formation method based on the Bayesian generative model with multimodal information e.g., vision, position and word information. Since humans have the ability to select an appropriate level of abstraction according to the situation and describe their position linguistically, e.g., "I am in my home" and "I am in front of the table," a hierarchical structure of spatial concepts is necessary in order for human support robots to communicate smoothly with users. The proposed method enables a robot to form hierarchical spatial concepts by categorizing multimodal information using hierarchical multimodal latent Dirichlet allocation (hMLDA). Object recognition results using convolutional neural network (CNN), hierarchical k-means clustering result of self-position estimated by Monte Carlo localization (MCL), and a set of location names are used, respectively, as features in vision, position, and word information. Experiments in forming hierarchical spatial concepts and evaluating how the proposed method can predict unobserved location names and position categories are performed using a robot in the real world. Results verify that, relative to comparable baseline methods, the proposed method enables a robot to predict location names and position categories closer to predictions made by humans. As an application example of the proposed method in a home environment, a demonstration in which a human support robot moves to an instructed place based on human speech instructions is achieved based on the formed hierarchical spatial concept.

Hierarchical Spatial Concept Formation Based on Multimodal Information for Human Support Robots

Directory of Open Access Journals (Sweden)

Yoshinobu Hagiwara

2018-03-01

Full Text Available In this paper, we propose a hierarchical spatial concept formation method based on the Bayesian generative model with multimodal information e.g., vision, position and word information. Since humans have the ability to select an appropriate level of abstraction according to the situation and describe their position linguistically, e.g., “I am in my home” and “I am in front of the table,” a hierarchical structure of spatial concepts is necessary in order for human support robots to communicate smoothly with users. The proposed method enables a robot to form hierarchical spatial concepts by categorizing multimodal information using hierarchical multimodal latent Dirichlet allocation (hMLDA. Object recognition results using convolutional neural network (CNN, hierarchical k-means clustering result of self-position estimated by Monte Carlo localization (MCL, and a set of location names are used, respectively, as features in vision, position, and word information. Experiments in forming hierarchical spatial concepts and evaluating how the proposed method can predict unobserved location names and position categories are performed using a robot in the real world. Results verify that, relative to comparable baseline methods, the proposed method enables a robot to predict location names and position categories closer to predictions made by humans. As an application example of the proposed method in a home environment, a demonstration in which a human support robot moves to an instructed place based on human speech instructions is achieved based on the formed hierarchical spatial concept.

76 FR 64382 - Agency Information Collection Activities: Proposed Collection; Comments Requested

Science.gov (United States)

2011-10-18

... Victims of Human Trafficking Grant recipients (OVC Grantees) Abstract: The OVC Trafficking Information... performance reporting required by the OVC Services to Victims of Human Trafficking Grant Initiative. Once..., including demographics about human trafficking victims. OVC intends to publish an annual analysis of these...

The Effect of Information Analysis Automation Display Content on Human Judgment Performance in Noisy Environments

OpenAIRE

Bass, Ellen J.; Baumgart, Leigh A.; Shepley, Kathryn Klein

2012-01-01

Displaying both the strategy that information analysis automation employs to makes its judgments and variability in the task environment may improve human judgment performance, especially in cases where this variability impacts the judgment performance of the information analysis automation. This work investigated the contribution of providing either information analysis automation strategy information, task environment information, or both, on human judgment performance in a domain where noi...

A Depth Video Sensor-Based Life-Logging Human Activity Recognition System for Elderly Care in Smart Indoor Environments

Directory of Open Access Journals (Sweden)

Ahmad Jalal

2014-07-01

Full Text Available Recent advancements in depth video sensors technologies have made human activity recognition (HAR realizable for elderly monitoring applications. Although conventional HAR utilizes RGB video sensors, HAR could be greatly improved with depth video sensors which produce depth or distance information. In this paper, a depth-based life logging HAR system is designed to recognize the daily activities of elderly people and turn these environments into an intelligent living space. Initially, a depth imaging sensor is used to capture depth silhouettes. Based on these silhouettes, human skeletons with joint information are produced which are further used for activity recognition and generating their life logs. The life-logging system is divided into two processes. Firstly, the training system includes data collection using a depth camera, feature extraction and training for each activity via Hidden Markov Models. Secondly, after training, the recognition engine starts to recognize the learned activities and produces life logs. The system was evaluated using life logging features against principal component and independent component features and achieved satisfactory recognition rates against the conventional approaches. Experiments conducted on the smart indoor activity datasets and the MSRDailyActivity3D dataset show promising results. The proposed system is directly applicable to any elderly monitoring system, such as monitoring healthcare problems for elderly people, or examining the indoor activities of people at home, office or hospital.

A depth video sensor-based life-logging human activity recognition system for elderly care in smart indoor environments.

Science.gov (United States)

Jalal, Ahmad; Kamal, Shaharyar; Kim, Daijin

2014-07-02

Recent advancements in depth video sensors technologies have made human activity recognition (HAR) realizable for elderly monitoring applications. Although conventional HAR utilizes RGB video sensors, HAR could be greatly improved with depth video sensors which produce depth or distance information. In this paper, a depth-based life logging HAR system is designed to recognize the daily activities of elderly people and turn these environments into an intelligent living space. Initially, a depth imaging sensor is used to capture depth silhouettes. Based on these silhouettes, human skeletons with joint information are produced which are further used for activity recognition and generating their life logs. The life-logging system is divided into two processes. Firstly, the training system includes data collection using a depth camera, feature extraction and training for each activity via Hidden Markov Models. Secondly, after training, the recognition engine starts to recognize the learned activities and produces life logs. The system was evaluated using life logging features against principal component and independent component features and achieved satisfactory recognition rates against the conventional approaches. Experiments conducted on the smart indoor activity datasets and the MSRDailyActivity3D dataset show promising results. The proposed system is directly applicable to any elderly monitoring system, such as monitoring healthcare problems for elderly people, or examining the indoor activities of people at home, office or hospital.

Public information activities in Japan

International Nuclear Information System (INIS)

Ijima, Kazunori

1998-01-01

This is a slide presentation dealing with the public information (PI) activities in Japan. At present in Japan 51 nuclear power plants are in commercial operation contributing with a capacity of about 440 G We, i.e. 1/3 of the total electricity is produced by nuclear power. An investigation conducted by Advisory Committee for Energy resulted in the following guidelines in the advancing the Nuclear Power Policy: - maintain transparency in determining policy and reflect the voice of people, making information available to the public; - promote mutual understanding between areas that produce electricity by nuclear power and those that consume electricity; - cultivate an awareness of energy issues amongst the public to encourage them to take issues regarding Japan's energy policy to heart. Concerning the current PI, the following actions are undertaken at a nationwide scale: - for all people, supplying information by mass media, internet and holding lecture meetings and panel discussions etc; - for women, advertisements in journals; - for youth, educational materials, exhibition of energy etc; - for teachers, seminars; for opinion leaders, sending newsletters on nuclear energy. In areas for planned or constructed nuclear plants the PI actions are addressed to all people, women, fishermen, farmers and opinion leaders. There are given the responses to the following three questions addressed to the public concerning the nuclear power: - do you think whether we need nuclear power plants? - do you think whether nuclear power plants are safe? - what mechanism do you think generates energy during the production of nuclear power. A discussion of the results is presented. As future objectives of PI activities the following are in view: to cultivate reliability, to aware of information about nuclear power, to promote awareness of nuclear power, to promote mutual understanding of nuclear power. In conclusion, the need is stressed to make the PI activities more effective, to find

7 CFR 272.5 - Program informational activities.

Science.gov (United States)

2010-01-01

... creed, national origin or political belief. (c) Program informational activities for low-income..., application procedures, and benefits of the Food Stamp Program. Program informational materials used in such... the socio-economic and demographic characteristics of the target population, types of media used...

Information transmission and signal permutation in active flow networks

Science.gov (United States)

Woodhouse, Francis G.; Fawcett, Joanna B.; Dunkel, Jörn

2018-03-01

Recent experiments show that both natural and artificial microswimmers in narrow channel-like geometries will self-organise to form steady, directed flows. This suggests that networks of flowing active matter could function as novel autonomous microfluidic devices. However, little is known about how information propagates through these far-from-equilibrium systems. Through a mathematical analogy with spin-ice vertex models, we investigate here the input–output characteristics of generic incompressible active flow networks (AFNs). Our analysis shows that information transport through an AFN is inherently different from conventional pressure or voltage driven networks. Active flows on hexagonal arrays preserve input information over longer distances than their passive counterparts and are highly sensitive to bulk topological defects, whose presence can be inferred from marginal input–output distributions alone. This sensitivity further allows controlled permutations on parallel inputs, revealing an unexpected link between active matter and group theory that can guide new microfluidic mixing strategies facilitated by active matter and aid the design of generic autonomous information transport networks.

76 FR 4912 - Proposed Information Collection Activity; Comment Request

Science.gov (United States)

2011-01-27

... grantee organizations (higher education Institutions, workforce investment boards, private training... Information Collection Activity; Comment Request Title: Implementation, Systems and Outcome Evaluation of the... proposing information collection activities as part of the Implementation, Systems and Outcome Evaluation of...

Employer's information and promotion-seeking activities

OpenAIRE

Epstein, Gil S.

2012-01-01

This paper presents a model in which promotion of employees within the internal firm hierarchy is determined by the individuals' allocation of time between promotion/rent-seeking and productive activity. We consider the effect of an increase in the employer's knowledge (information) regarding the employees' productivity levels on the total time spent by the workers in non-productive promotion-seeking activities.

Individual consistency and flexibility in human social information use.

Science.gov (United States)

Toelch, Ulf; Bruce, Matthew J; Newson, Lesley; Richerson, Peter J; Reader, Simon M

2014-02-07

Copying others appears to be a cost-effective way of obtaining adaptive information, particularly when flexibly employed. However, adult humans differ considerably in their propensity to use information from others, even when this 'social information' is beneficial, raising the possibility that stable individual differences constrain flexibility in social information use. We used two dissimilar decision-making computer games to investigate whether individuals flexibly adjusted their use of social information to current conditions or whether they valued social information similarly in both games. Participants also completed established personality questionnaires. We found that participants demonstrated considerable flexibility, adjusting social information use to current conditions. In particular, individuals employed a 'copy-when-uncertain' social learning strategy, supporting a core, but untested, assumption of influential theoretical models of cultural transmission. Moreover, participants adjusted the amount invested in their decision based on the perceived reliability of personally gathered information combined with the available social information. However, despite this strategic flexibility, participants also exhibited consistent individual differences in their propensities to use and value social information. Moreover, individuals who favoured social information self-reported as more collectivist than others. We discuss the implications of our results for social information use and cultural transmission.

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

Information activities and resources in an episode of gourmet cooking

Directory of Open Access Journals (Sweden)

J. Hartel

2006-01-01

Full Text Available Introduction. This paper contributes to what is known about everyday life information seeking within serious leisure. It is the first case study of a making and tinkering (or craft hobby, gourmet cooking. The central activity of the hobby is described and serves as a context to relate and locate information activities and information resources. Method. In this scientific ethnography, twenty gourmet cooks from Boston and Los Angeles, USA were interviewed in their homes about their pursuit of the hobby and its associated information phenomena. Then, domestic culinary information resources and spaces were documented via a photographic inventory. Analysis. Interview transcripts and field notes were studied for themes through an iterative process of inductive and deductive analysis. A visual analysis process was performed on the photographs. Results. Hands-on cooking takes the form of a nine step episode. Information activities and resources are instrumental, interwoven, and varied across the process. In any cooking episode use and re-use are the prevailing information activities; the hobbyist is an active producer and manager of information; and the recipe is a primary document. Conclusion. The study demonstrates how to explicate and conceptualize information phenomena in serious leisure, and sets up lines of inquiry to explore in future research.

Neural Activity Patterns in the Human Brain Reflect Tactile Stickiness Perception

Science.gov (United States)

Kim, Junsuk; Yeon, Jiwon; Ryu, Jaekyun; Park, Jang-Yeon; Chung, Soon-Cheol; Kim, Sung-Phil

2017-01-01

Our previous human fMRI study found brain activations correlated with tactile stickiness perception using the uni-variate general linear model (GLM) (Yeon et al., 2017). Here, we conducted an in-depth investigation on neural correlates of sticky sensations by employing a multivoxel pattern analysis (MVPA) on the same dataset. In particular, we statistically compared multi-variate neural activities in response to the three groups of sticky stimuli: A supra-threshold group including a set of sticky stimuli that evoked vivid sticky perception; an infra-threshold group including another set of sticky stimuli that barely evoked sticky perception; and a sham group including acrylic stimuli with no physically sticky property. Searchlight MVPAs were performed to search for local activity patterns carrying neural information of stickiness perception. Similar to the uni-variate GLM results, significant multi-variate neural activity patterns were identified in postcentral gyrus, subcortical (basal ganglia and thalamus), and insula areas (insula and adjacent areas). Moreover, MVPAs revealed that activity patterns in posterior parietal cortex discriminated the perceptual intensities of stickiness, which was not present in the uni-variate analysis. Next, we applied a principal component analysis (PCA) to the voxel response patterns within identified clusters so as to find low-dimensional neural representations of stickiness intensities. Follow-up clustering analyses clearly showed separate neural grouping configurations between the Supra- and Infra-threshold groups. Interestingly, this neural categorization was in line with the perceptual grouping pattern obtained from the psychophysical data. Our findings thus suggest that different stickiness intensities would elicit distinct neural activity patterns in the human brain and may provide a neural basis for the perception and categorization of tactile stickiness. PMID:28936171

A human-machine interface evaluation method: A difficulty evaluation method in information searching (DEMIS)

International Nuclear Information System (INIS)

Ha, Jun Su; Seong, Poong Hyun

2009-01-01

A human-machine interface (HMI) evaluation method, which is named 'difficulty evaluation method in information searching (DEMIS)', is proposed and demonstrated with an experimental study. The DEMIS is based on a human performance model and two measures of attentional-resource effectiveness in monitoring and detection tasks in nuclear power plants (NPPs). Operator competence and HMI design are modeled to be most significant factors to human performance. One of the two effectiveness measures is fixation-to-importance ratio (FIR) which represents attentional resource (eye fixations) spent on an information source compared to importance of the information source. The other measure is selective attention effectiveness (SAE) which incorporates FIRs for all information sources. The underlying principle of the measures is that the information source should be selectively attended to according to its informational importance. In this study, poor performance in information searching tasks is modeled to be coupled with difficulties caused by poor mental models of operators or/and poor HMI design. Human performance in information searching tasks is evaluated by analyzing the FIR and the SAE. Operator mental models are evaluated by a questionnaire-based method. Then difficulties caused by a poor HMI design are evaluated by a focused interview based on the FIR evaluation and then root causes leading to poor performance are identified in a systematic way.

A human activity approach to User Interfaces

DEFF Research Database (Denmark)

Bødker, Susanne

1989-01-01

the work situations in which computer-based artifacts are used: The framework deals with the role of the user interface in purposeful human work. Human activity theory is used in this analysis. The purpose of this article is to make the reader curious and hopefully open his or her eyes to a somewhat...

Human activities threatening the biodiversity of the Uzungwa Scarp ...

African Journals Online (AJOL)

Studies of human activities in the Uzungwa Scarp Forest Reserve, Udzungwa Mountains, were conducted in March-April and September 1997, in the western and southern parts of the forest. Different human activities, such as timber and pole cutting and withies harvesting, as well as the collection of non-timber forest ...

Detection of cardiac activity changes from human speech

Science.gov (United States)

Tovarek, Jaromir; Partila, Pavol; Voznak, Miroslav; Mikulec, Martin; Mehic, Miralem

2015-05-01

Impact of changes in blood pressure and pulse from human speech is disclosed in this article. The symptoms of increased physical activity are pulse, systolic and diastolic pressure. There are many methods of measuring and indicating these parameters. The measurements must be carried out using devices which are not used in everyday life. In most cases, the measurement of blood pressure and pulse following health problems or other adverse feelings. Nowadays, research teams are trying to design and implement modern methods in ordinary human activities. The main objective of the proposal is to reduce the delay between detecting the adverse pressure and to the mentioned warning signs and feelings. Common and frequent activity of man is speaking, while it is known that the function of the vocal tract can be affected by the change in heart activity. Therefore, it can be a useful parameter for detecting physiological changes. A method for detecting human physiological changes by speech processing and artificial neural network classification is described in this article. The pulse and blood pressure changes was induced by physical exercises in this experiment. The set of measured subjects was formed by ten healthy volunteers of both sexes. None of the subjects was a professional athlete. The process of the experiment was divided into phases before, during and after physical training. Pulse, systolic, diastolic pressure was measured and voice activity was recorded after each of them. The results of this experiment describe a method for detecting increased cardiac activity from human speech using artificial neural network.

The Effect of Information Analysis Automation Display Content on Human Judgment Performance in Noisy Environments

Science.gov (United States)

Bass, Ellen J.; Baumgart, Leigh A.; Shepley, Kathryn Klein

2014-01-01

Displaying both the strategy that information analysis automation employs to makes its judgments and variability in the task environment may improve human judgment performance, especially in cases where this variability impacts the judgment performance of the information analysis automation. This work investigated the contribution of providing either information analysis automation strategy information, task environment information, or both, on human judgment performance in a domain where noisy sensor data are used by both the human and the information analysis automation to make judgments. In a simplified air traffic conflict prediction experiment, 32 participants made probability of horizontal conflict judgments under different display content conditions. After being exposed to the information analysis automation, judgment achievement significantly improved for all participants as compared to judgments without any of the automation's information. Participants provided with additional display content pertaining to cue variability in the task environment had significantly higher aided judgment achievement compared to those provided with only the automation's judgment of a probability of conflict. When designing information analysis automation for environments where the automation's judgment achievement is impacted by noisy environmental data, it may be beneficial to show additional task environment information to the human judge in order to improve judgment performance. PMID:24847184

The Effect of Information Analysis Automation Display Content on Human Judgment Performance in Noisy Environments.

Science.gov (United States)

Bass, Ellen J; Baumgart, Leigh A; Shepley, Kathryn Klein

2013-03-01

Displaying both the strategy that information analysis automation employs to makes its judgments and variability in the task environment may improve human judgment performance, especially in cases where this variability impacts the judgment performance of the information analysis automation. This work investigated the contribution of providing either information analysis automation strategy information, task environment information, or both, on human judgment performance in a domain where noisy sensor data are used by both the human and the information analysis automation to make judgments. In a simplified air traffic conflict prediction experiment, 32 participants made probability of horizontal conflict judgments under different display content conditions. After being exposed to the information analysis automation, judgment achievement significantly improved for all participants as compared to judgments without any of the automation's information. Participants provided with additional display content pertaining to cue variability in the task environment had significantly higher aided judgment achievement compared to those provided with only the automation's judgment of a probability of conflict. When designing information analysis automation for environments where the automation's judgment achievement is impacted by noisy environmental data, it may be beneficial to show additional task environment information to the human judge in order to improve judgment performance.

An anlaysis of engineers information seeking activity

DEFF Research Database (Denmark)

Cash, Philip; Stanković, Tino; Štorga, Mario

2013-01-01

Information seeking is an important part of the engineering design process. In this context the Internet has become a significant source of information, shaping the way engineers work and interact. Current work has focused on characterizing this activity in terms of total time allocated to differ...

Perspectives of young Chinese Singaporean women on seeking and processing information to decide about vaccinating against human papillomavirus.

Science.gov (United States)

Basnyat, Iccha; Lim, Cheryl

2017-07-06

Human papillomavirus (HPV) vaccination uptake in Singapore is low among young women. Low uptake has been found to be linked to low awareness. Thus, this study aimed to understand active and passive vaccine information-seeking behavior. Furthermore, guided by the Elaboration Likelihood Model (ELM), this study examined young women's (aged 21-26 years) processing of information they acquired in their decision to get vaccinated. ELM postulates that information processing could be through the central (i.e., logic-based) or peripheral (i.e., heuristic-based) route. Twenty-six in-depth interviews were conducted from January to March 2016. Data were analyzed using thematic analysis. Two meta-themes-information acquisition and vaccination decision-revealed the heuristic-based information processing was employed. These young women acquired information passively within their social network and actively in healthcare settings. However, they used heuristic cues, such as closeness and trust, to process the information. Similarly, vaccination decisions revealed that women relied on heuristic cues, such as sense of belonging and validation among peers and source credibility and likability in medical settings, in their decision to get vaccinated. The findings of this study highlight that intervention efforts should focus on strengthening social support among personal networks to increase the uptake of the vaccine.

FINITE MARKOV CHAINS IN THE MODEL REPRESENTATION OF THE HUMAN OPERATOR ACTIVITY IN QUASI-FUNCTIONAL ENVIRONMENT

Directory of Open Access Journals (Sweden)

M. V. Serzhantova

2016-05-01

Full Text Available Subject of Research. We analyze the problems of finite Markov chains apparatus application for simulating a human operator activity in the quasi-static functional environment. It is shown that the functional environment stochastic nature is generated by a factor of interval character of human operator properties. Method. The problem is solved in the class of regular (recurrent finite Markov chains with three states of the human operator: with a favorable, median and unfavorable combination of the values of mathematical model parameters of the human operator in a quasi-static functional environment. The finite Markov chain is designed taking into account the factors of human operator tiredness and interval character of parameters of the model representation of his properties. The device is based on the usage of mathematical approximation of the standard curve of the human operator activity performance during work shift. The standard curve of the human operator activity performance is based on the extensive research experience of functional activity of the human operator with the help of photos of the day, his action timing and ergonomic generalizations. Main Results. The apparatus of regular finite Markov chains gave the possibility to evaluate correctly the human operator activity performance in a quasi-static functional environment with the use of the main information component of these chains as a vector of final probabilities. In addition, we managed to build an algorithmic basis for estimating the stationary time (time study for transit of human operator from arbitrary initial functional state into a state corresponding to a vector of final probabilities for a used chain after it reaches the final state based on the analysis of the eigenvalues spectrum of the matrix of transition probabilities for a regular (recurrent finite Markov chain. Practical Relevance. Obtained theoretical results are confirmed by illustrative examples, which

Interactive information seeking, behaviour and retrieval

CERN Document Server

Ruthven, Ian

2011-01-01

Information retrieval (IR) is a complex human activity supported by sophisticated systems. This book covers the whole spectrum of information retrieval, including: history and background information; behaviour and seeking task-based information; searching and retrieval approaches to investigating information; and, evaluation interfaces for IR.

How consumer physical activity monitors could transform human physiology research

Science.gov (United States)

Hall Brown, Tyish S.; Collier, Scott R.; Sandberg, Kathryn

2017-01-01

A sedentary lifestyle and lack of physical activity are well-established risk factors for chronic disease and adverse health outcomes. Thus, there is enormous interest in measuring physical activity in biomedical research. Many consumer physical activity monitors, including Basis Health Tracker, BodyMedia Fit, DirectLife, Fitbit Flex, Fitbit One, Fitbit Zip, Garmin Vivofit, Jawbone UP, MisFit Shine, Nike FuelBand, Polar Loop, Withings Pulse O2, and others have accuracies similar to that of research-grade physical activity monitors for measuring steps. This review focuses on the unprecedented opportunities that consumer physical activity monitors offer for human physiology and pathophysiology research because of their ability to measure activity continuously under real-life conditions and because they are already widely used by consumers. We examine current and potential uses of consumer physical activity monitors as a measuring or monitoring device, or as an intervention in strategies to change behavior and predict health outcomes. The accuracy, reliability, reproducibility, and validity of consumer physical activity monitors are reviewed, as are limitations and challenges associated with using these devices in research. Other topics covered include how smartphone apps and platforms, such as the Apple ResearchKit, can be used in conjunction with consumer physical activity monitors for research. Lastly, the future of consumer physical activity monitors and related technology is considered: pattern recognition, integration of sleep monitors, and other biosensors in combination with new forms of information processing. PMID:28052867

How consumer physical activity monitors could transform human physiology research.

Science.gov (United States)

Wright, Stephen P; Hall Brown, Tyish S; Collier, Scott R; Sandberg, Kathryn

2017-03-01

A sedentary lifestyle and lack of physical activity are well-established risk factors for chronic disease and adverse health outcomes. Thus, there is enormous interest in measuring physical activity in biomedical research. Many consumer physical activity monitors, including Basis Health Tracker, BodyMedia Fit, DirectLife, Fitbit Flex, Fitbit One, Fitbit Zip, Garmin Vivofit, Jawbone UP, MisFit Shine, Nike FuelBand, Polar Loop, Withings Pulse O 2 , and others have accuracies similar to that of research-grade physical activity monitors for measuring steps. This review focuses on the unprecedented opportunities that consumer physical activity monitors offer for human physiology and pathophysiology research because of their ability to measure activity continuously under real-life conditions and because they are already widely used by consumers. We examine current and potential uses of consumer physical activity monitors as a measuring or monitoring device, or as an intervention in strategies to change behavior and predict health outcomes. The accuracy, reliability, reproducibility, and validity of consumer physical activity monitors are reviewed, as are limitations and challenges associated with using these devices in research. Other topics covered include how smartphone apps and platforms, such as the Apple ResearchKit, can be used in conjunction with consumer physical activity monitors for research. Lastly, the future of consumer physical activity monitors and related technology is considered: pattern recognition, integration of sleep monitors, and other biosensors in combination with new forms of information processing. Copyright © 2017 the American Physiological Society.

The commercialization of human genetic information and related circumstances within Turkish law.

Science.gov (United States)

Memiş, Tekin

2011-01-01

Today, human genetic information is used for commercial purposes as well. This means, based on the case, the direct or indirect commercialization of genetic information. In this study, this specific issue is analyzed in light of the new legal regulations as to the subject in the Turkish Law. Specifically, this study focuses on the issue of whether the commercialization of genetic information is allowed under the Turkish Law. This study also attempts to clarify the issue of whether there is any limitations for the commercialization of genetic information in the Turkish Law provided that the commercialization of genetic information is permitted. Prior to this legal analysis, the problems of the legal ownership for genetic information and of whether genetic information should be considered as an organ of human body is discussed. Accordingly, relevant Turkish laws and regulations are individually analyzed within this context. In the mean time legal regulations of some countries in this respect are taken into account with a comparative approach. In the end a general evaluation and suggestions are provided to the reader.

Enhanced casein kinase II activity in human tumour cell cultures

DEFF Research Database (Denmark)

Prowald, K; Fischer, H; Issinger, O G

1984-01-01

Casein kinase II (CKII) activity is enhanced as much as 2-3 fold in established and 4-5-fold in transformed human cell lines when compared to that of fibroblasts and primary human tumour cell cultures where CKII activity never exceeded a basic level. The high activity of CKII in transformed cells...

Microbial metaproteomics for characterizing the range of metabolic functions and activities of human gut microbiota.

Science.gov (United States)

Xiong, Weili; Abraham, Paul E; Li, Zhou; Pan, Chongle; Hettich, Robert L

2015-10-01

The human gastrointestinal tract is a complex, dynamic ecosystem that consists of a carefully tuned balance of human host and microbiota membership. The microbiome is not merely a collection of opportunistic parasites, but rather provides important functions to the host that are absolutely critical to many aspects of health, including nutrient transformation and absorption, drug metabolism, pathogen defense, and immune system development. Microbial metaproteomics provides the ability to characterize the human gut microbiota functions and metabolic activities at a remarkably deep level, revealing information about microbiome development and stability as well as their interactions with their human host. Generally, microbial and human proteins can be extracted and then measured by high performance MS-based proteomics technology. Here, we review the field of human gut microbiome metaproteomics, with a focus on the experimental and informatics considerations involved in characterizing systems ranging from low-complexity model gut microbiota in gnotobiotic mice, to the emerging gut microbiome in the GI tract of newborn human infants, and finally to an established gut microbiota in human adults. © 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Using Active Learning to Identify Health Information Technology Related Patient Safety Events.

Science.gov (United States)

Fong, Allan; Howe, Jessica L; Adams, Katharine T; Ratwani, Raj M

2017-01-18

The widespread adoption of health information technology (HIT) has led to new patient safety hazards that are often difficult to identify. Patient safety event reports, which are self-reported descriptions of safety hazards, provide one view of potential HIT-related safety events. However, identifying HIT-related reports can be challenging as they are often categorized under other more predominate clinical categories. This challenge of identifying HIT-related reports is exacerbated by the increasing number and complexity of reports which pose challenges to human annotators that must manually review reports. In this paper, we apply active learning techniques to support classification of patient safety event reports as HIT-related. We evaluated different strategies and demonstrated a 30% increase in average precision of a confirmatory sampling strategy over a baseline no active learning approach after 10 learning iterations.

78 FR 56241 - Agency Information Collection Activities:

Science.gov (United States)

2013-09-12

...-0095] Agency Information Collection Activities: Notice of Appeal or Motion, Form I-290B; Revision of a... Collection (1) Type of Information Collection Request: Revision of a Currently Approved Collection. (2) Title of the Form/Collection: Notice of Appeal or Motion. (3) Agency form number, if any, and the...

Exploring Representativeness and Informativeness for Active Learning.

Science.gov (United States)

Du, Bo; Wang, Zengmao; Zhang, Lefei; Zhang, Liangpei; Liu, Wei; Shen, Jialie; Tao, Dacheng

2017-01-01

How can we find a general way to choose the most suitable samples for training a classifier? Even with very limited prior information? Active learning, which can be regarded as an iterative optimization procedure, plays a key role to construct a refined training set to improve the classification performance in a variety of applications, such as text analysis, image recognition, social network modeling, etc. Although combining representativeness and informativeness of samples has been proven promising for active sampling, state-of-the-art methods perform well under certain data structures. Then can we find a way to fuse the two active sampling criteria without any assumption on data? This paper proposes a general active learning framework that effectively fuses the two criteria. Inspired by a two-sample discrepancy problem, triple measures are elaborately designed to guarantee that the query samples not only possess the representativeness of the unlabeled data but also reveal the diversity of the labeled data. Any appropriate similarity measure can be employed to construct the triple measures. Meanwhile, an uncertain measure is leveraged to generate the informativeness criterion, which can be carried out in different ways. Rooted in this framework, a practical active learning algorithm is proposed, which exploits a radial basis function together with the estimated probabilities to construct the triple measures and a modified best-versus-second-best strategy to construct the uncertain measure, respectively. Experimental results on benchmark datasets demonstrate that our algorithm consistently achieves superior performance over the state-of-the-art active learning algorithms.

Human errors and violations in computer and information security: the viewpoint of network administrators and security specialists.

Science.gov (United States)

Kraemer, Sara; Carayon, Pascale

2007-03-01

This paper describes human errors and violations of end users and network administration in computer and information security. This information is summarized in a conceptual framework for examining the human and organizational factors contributing to computer and information security. This framework includes human error taxonomies to describe the work conditions that contribute adversely to computer and information security, i.e. to security vulnerabilities and breaches. The issue of human error and violation in computer and information security was explored through a series of 16 interviews with network administrators and security specialists. The interviews were audio taped, transcribed, and analyzed by coding specific themes in a node structure. The result is an expanded framework that classifies types of human error and identifies specific human and organizational factors that contribute to computer and information security. Network administrators tended to view errors created by end users as more intentional than unintentional, while errors created by network administrators as more unintentional than intentional. Organizational factors, such as communication, security culture, policy, and organizational structure, were the most frequently cited factors associated with computer and information security.

Human activity understanding for robot-assisted living

NARCIS (Netherlands)

Hu, N.

2016-01-01

This thesis investigated the problem of understanding human activities, at different levels of granularity and taking into account both the variability in activities and annotator disagreement. To be able to capture the large variations within each of the action classes, we propose a model that uses

Managing information technology human resources in health care.

Science.gov (United States)

Mahesh, Sathiadev; Crow, Stephen M

2012-01-01

The health care sector has seen a major increase in the use of information technology (IT). The increasing permeation of IT into the enterprise has resulted in many non-IT employees acquiring IT-related skills and becoming an essential part of the IT-enabled enterprise. Health care IT employees work in a continually changing environment dealing with new specializations that are often unfamiliar to other personnel. The widespread use of outsourcing and offshoring in IT has introduced a third layer of complexity in the traditional hierarchy and its approach to managing human resources. This article studies 3 major issues in managing these human resources in an IT-enabled health care enterprise and recommends solutions to the problem.

77 FR 74667 - Agency Information Collection Activities; Proposed Collection; Comment Request; Information To...

Science.gov (United States)

2012-12-17

... (HDE) applications and the collection of information regarding the annual distribution number (ADN... that the Secretary of Health and Human Services (the Secretary) will assign an ADN for devices that meet the eligibility criteria to be permitted to be sold for profit. The ADN is defined as the number...

Complex Human Activity Recognition Using Smartphone and Wrist-Worn Motion Sensors.

Science.gov (United States)

Shoaib, Muhammad; Bosch, Stephan; Incel, Ozlem Durmaz; Scholten, Hans; Havinga, Paul J M

2016-03-24

The position of on-body motion sensors plays an important role in human activity recognition. Most often, mobile phone sensors at the trouser pocket or an equivalent position are used for this purpose. However, this position is not suitable for recognizing activities that involve hand gestures, such as smoking, eating, drinking coffee and giving a talk. To recognize such activities, wrist-worn motion sensors are used. However, these two positions are mainly used in isolation. To use richer context information, we evaluate three motion sensors (accelerometer, gyroscope and linear acceleration sensor) at both wrist and pocket positions. Using three classifiers, we show that the combination of these two positions outperforms the wrist position alone, mainly at smaller segmentation windows. Another problem is that less-repetitive activities, such as smoking, eating, giving a talk and drinking coffee, cannot be recognized easily at smaller segmentation windows unlike repetitive activities, like walking, jogging and biking. For this purpose, we evaluate the effect of seven window sizes (2-30 s) on thirteen activities and show how increasing window size affects these various activities in different ways. We also propose various optimizations to further improve the recognition of these activities. For reproducibility, we make our dataset publicly available.

A Human Activity Recognition System Using Skeleton Data from RGBD Sensors.

Science.gov (United States)

Cippitelli, Enea; Gasparrini, Samuele; Gambi, Ennio; Spinsante, Susanna

2016-01-01

The aim of Active and Assisted Living is to develop tools to promote the ageing in place of elderly people, and human activity recognition algorithms can help to monitor aged people in home environments. Different types of sensors can be used to address this task and the RGBD sensors, especially the ones used for gaming, are cost-effective and provide much information about the environment. This work aims to propose an activity recognition algorithm exploiting skeleton data extracted by RGBD sensors. The system is based on the extraction of key poses to compose a feature vector, and a multiclass Support Vector Machine to perform classification. Computation and association of key poses are carried out using a clustering algorithm, without the need of a learning algorithm. The proposed approach is evaluated on five publicly available datasets for activity recognition, showing promising results especially when applied for the recognition of AAL related actions. Finally, the current applicability of this solution in AAL scenarios and the future improvements needed are discussed.

A Human Activity Recognition System Using Skeleton Data from RGBD Sensors

Directory of Open Access Journals (Sweden)

Enea Cippitelli

2016-01-01

Full Text Available The aim of Active and Assisted Living is to develop tools to promote the ageing in place of elderly people, and human activity recognition algorithms can help to monitor aged people in home environments. Different types of sensors can be used to address this task and the RGBD sensors, especially the ones used for gaming, are cost-effective and provide much information about the environment. This work aims to propose an activity recognition algorithm exploiting skeleton data extracted by RGBD sensors. The system is based on the extraction of key poses to compose a feature vector, and a multiclass Support Vector Machine to perform classification. Computation and association of key poses are carried out using a clustering algorithm, without the need of a learning algorithm. The proposed approach is evaluated on five publicly available datasets for activity recognition, showing promising results especially when applied for the recognition of AAL related actions. Finally, the current applicability of this solution in AAL scenarios and the future improvements needed are discussed.

78 FR 46997 - Agency Information Collection Activities: Submission for Review; Information Collection Request...

Science.gov (United States)

2013-08-02

... Security, Science & Technology Directorate, Cyber Security Division. (4) Affected public who will be asked... DEPARTMENT OF HOMELAND SECURITY [Docket No. DHS-2013-0047] Agency Information Collection Activities: Submission for Review; Information Collection Request for the Department of Homeland Security...

Formal and Informal Continuing Education Activities and Athletic Training Professional Practice

Science.gov (United States)

Armstrong, Kirk J.; Weidner, Thomas G.

2010-01-01

Abstract Context: Continuing education (CE) is intended to promote professional growth and, ultimately, to enhance professional practice. Objective: To determine certified athletic trainers' participation in formal (ie, approved for CE credit) and informal (ie, not approved for CE credit) CE activities and the perceived effect these activities have on professional practice with regard to improving knowledge, clinical skills and abilities, attitudes toward patient care, and patient care itself. Design: Cross-sectional study. Setting: Athletic training practice settings. Patients or Other Participants: Of a geographic, stratified random sample of 1000 athletic trainers, 427 (42.7%) completed the survey. Main Outcome Measure(s): The Survey of Formal and Informal Athletic Training Continuing Education Activities was developed and administered electronically. The survey consisted of demographic characteristics and Likert-scale items regarding CE participation and perceived effect of CE on professional practice. Internal consistency of survey items was determined using the Cronbach α (α  =  0.945). Descriptive statistics were computed for all items. An analysis of variance and dependent t tests were calculated to determine differences among respondents' demographic characteristics and their participation in, and perceived effect of, CE activities. The α level was set at .05. Results: Respondents completed more informal CE activities than formal CE activities. Participation in informal CE activities included reading athletic training journals (75.4%), whereas formal CE activities included attending a Board of Certification–approved workshop, seminar, or professional conference not conducted by the National Athletic Trainers' Association or affiliates or committees (75.6%). Informal CE activities were perceived to improve clinical skills or abilities and attitudes toward patient care. Formal CE activities were perceived to enhance knowledge. Conclusions: More

The significance of human factors in nuclear activities

International Nuclear Information System (INIS)

Weil, L.; Berg, H.P.

1999-01-01

Human factors is an aspect increasingly investigated in the last few years in efforts and programmes for enhancing the operational safety of nuclear systems. Methodology has been elaborated for analysis and evaluation of human reliability, or development of instruments supporting the decisions to be taken by the operators at the man-control room interface of nuclear installations, as well as initial approaches to introduce organisational factors which may influence the man-machine function allocation, and thus are an element of the safety culture concept. The significance of human factors in nuclear activities, as well as activities at the national and international level for optimisation of the man-machine interface and the man-organisation interface are discussed. (orig./CB) [de

Towards discrete wavelet transform-based human activity recognition

Science.gov (United States)

Khare, Manish; Jeon, Moongu

2017-06-01

Providing accurate recognition of human activities is a challenging problem for visual surveillance applications. In this paper, we present a simple and efficient algorithm for human activity recognition based on a wavelet transform. We adopt discrete wavelet transform (DWT) coefficients as a feature of human objects to obtain advantages of its multiresolution approach. The proposed method is tested on multiple levels of DWT. Experiments are carried out on different standard action datasets including KTH and i3D Post. The proposed method is compared with other state-of-the-art methods in terms of different quantitative performance measures. The proposed method is found to have better recognition accuracy in comparison to the state-of-the-art methods.

Predicting human activities in sequences of actions in RGB-D videos

Science.gov (United States)

Jardim, David; Nunes, Luís.; Dias, Miguel

2017-03-01

In our daily activities we perform prediction or anticipation when interacting with other humans or with objects. Prediction of human activity made by computers has several potential applications: surveillance systems, human computer interfaces, sports video analysis, human-robot-collaboration, games and health-care. We propose a system capable of recognizing and predicting human actions using supervised classifiers trained with automatically labeled data evaluated in our human activity RGB-D dataset (recorded with a Kinect sensor) and using only the position of the main skeleton joints to extract features. Using conditional random fields (CRFs) to model the sequential nature of actions in a sequence has been used before, but where other approaches try to predict an outcome or anticipate ahead in time (seconds), we try to predict what will be the next action of a subject. Our results show an activity prediction accuracy of 89.9% using an automatically labeled dataset.

UniMiB SHAR: A Dataset for Human Activity Recognition Using Acceleration Data from Smartphones

Directory of Open Access Journals (Sweden)

Daniela Micucci

2017-10-01

Full Text Available Smartphones, smartwatches, fitness trackers, and ad-hoc wearable devices are being increasingly used to monitor human activities. Data acquired by the hosted sensors are usually processed by machine-learning-based algorithms to classify human activities. The success of those algorithms mostly depends on the availability of training (labeled data that, if made publicly available, would allow researchers to make objective comparisons between techniques. Nowadays, there are only a few publicly available data sets, which often contain samples from subjects with too similar characteristics, and very often lack specific information so that is not possible to select subsets of samples according to specific criteria. In this article, we present a new dataset of acceleration samples acquired with an Android smartphone designed for human activity recognition and fall detection. The dataset includes 11,771 samples of both human activities and falls performed by 30 subjects of ages ranging from 18 to 60 years. Samples are divided in 17 fine grained classes grouped in two coarse grained classes: one containing samples of 9 types of activities of daily living (ADL and the other containing samples of 8 types of falls. The dataset has been stored to include all the information useful to select samples according to different criteria, such as the type of ADL performed, the age, the gender, and so on. Finally, the dataset has been benchmarked with four different classifiers and with two different feature vectors. We evaluated four different classification tasks: fall vs. no fall, 9 activities, 8 falls, 17 activities and falls. For each classification task, we performed a 5-fold cross-validation (i.e., including samples from all the subjects in both the training and the test dataset and a leave-one-subject-out cross-validation (i.e., the test data include the samples of a subject only, and the training data, the samples of all the other subjects. Regarding the

Research report on human media; Human media no chosa kenkyu hokokusho

Energy Technology Data Exchange (ETDEWEB)

NONE

1996-03-01

The human multimedia technology corresponding to users` subjective characteristics was researched to realize information environment producing a sense of unity with human. The human media technology realizes a human sensitive information processing model and a common database easily acceptable sensitively by various users. This technology also should be able to fairly accept and transmit individual`s information and knowledge as multimedia information, and in addition it is required to supply a virtual space with presence. In fiscal 1995, the research committee studied the concrete developmental issue for integrating these advanced fundamental technologies, and as practical images planned the prototype systems such as human media interactive plant operation, supply of environment supporting personal intelligent activities, and virtual medical center. The research committee also discussed development of space mobile media to secure energy-saving and safety of automobiles, and an environment simulation system with participation of many people. 34 figs., 2 tabs.

Mathematical description of information interaction in investment and construction activities

Directory of Open Access Journals (Sweden)

Sborshchikov Sergey Borisovich

2014-05-01

Full Text Available For effective management of investment and construction activity (ICA there must be a subsystem responsible for information interaction. The article considers the role of information in ICA, as well as the requirements and objectives of the information systems. Data collection, communication and processing, according to the authors, reflect the system running efficiency. Thanks to information security subsystem there is a possibility of measuring the efficiency of resource use and the relations between inputs and outputs of individual elements throughout investment and construction activities. Requirements of modern economic realities, particularly, investment and construction activities dynamics, should be adjusted to the flow of information: creating new connections, terminating the others. Developing the information management system, its structure and composition require consideration and planning. Development planning and management is closely related to the improvement of information links and upgrading the entire system of information security, its structure and functioning.

78 FR 13686 - Draft Guidance for Industry and Review Staff on Pediatric Information Incorporated Into Human...

Science.gov (United States)

2013-02-28

... FDA review staff in making decisions about the placement and content of pediatric information in human... assist that office in processing your requests. See the SUPPLEMENTARY INFORMATION section for electronic...] Draft Guidance for Industry and Review Staff on Pediatric Information Incorporated Into Human...

Domestic dogs use contextual information and tone of voice when following a human pointing gesture.

Directory of Open Access Journals (Sweden)

Linda Scheider

Full Text Available Domestic dogs are skillful at using the human pointing gesture. In this study we investigated whether dogs take contextual information into account when following pointing gestures, specifically, whether they follow human pointing gestures more readily in the context in which food has been found previously. Also varied was the human's tone of voice as either imperative or informative. Dogs were more sustained in their searching behavior in the 'context' condition as opposed to the 'no context' condition, suggesting that they do not simply follow a pointing gesture blindly but use previously acquired contextual information to inform their interpretation of that pointing gesture. Dogs also showed more sustained searching behavior when there was pointing than when there was not, suggesting that they expect to find a referent when they see a human point. Finally, dogs searched more in high-pitched informative trials as opposed to the low-pitched imperative trials, whereas in the latter dogs seemed more inclined to respond by sitting. These findings suggest that a dog's response to a pointing gesture is flexible and depends on the context as well as the human's tone of voice.

Education, Information Technologies, and the Augmentation of Human Intellect

Science.gov (United States)

Campbell, Gardner

2006-01-01

The author believes that information technologies are powerfully heuristic in addressing one of education's deepest ambitions. Following Engelbart's paradigm, he sees these technologies as augmenting human intellect, not simply because they permit high-speed calculations but also because they externalize our own cognitive processes in a way that…

The influence of human activity in the Arctic on climate and climate impacts

Energy Technology Data Exchange (ETDEWEB)

Huntington, H.P. [23834 The Clearing Dr., Eagle River, AK 99577 (United States); Boyle, M. [Institute for Resources, Environment and Sustainability, University of British Columbia, 2202 Main Mall, Vancouver, BC, V6S 1K4 (Canada); Flowers, G.E. [Department of Earth Sciences, Simon Fraser University, 8888 University Drive, Burnaby, BC, V5A 1S6 (Canada); Weatherly, J.W. [Snow and Ice Division, Cold Regions Research and Engineering Laboratory, 72 Lyme Road, Hanover, NH 03755 (United States); Hamilton, L.C. [Department of Sociology, University of New Hampshire, 20 College Road, Durham, NH 03824 (United States); Hinzman, L. [Water and Environment Research Center, University of Alaska Fairbanks, P.O. Box 755860, Fairbanks, AK 99775 (United States); Gerlach, C. [Department of Anthropology, University of Alaska Fairbanks, P.O. Box 757720, Fairbanks, AK 99775 (United States); Zulueta, R. [Department of Biology, Global Change Research Group, San Diego State University, 5500 Campanile Drive, PS-240, San Diego, CA 92182 (United States); Nicolson, C. [Department of Natural Resources Conservation, University of Massachusetts, 160 Holdsworth Way, Amherst, MA , 01003 (United States); Overpeck, J. [Institute for the Study of Planet Earth, University of Arizona, 715 North Park Avenue, 2nd Floor, Tucson, AZ, 85721 (United States)

2007-05-15

Human activities in the Arctic are often mentioned as recipients of climate-change impacts. In this paper we consider the more complicated but more likely possibility that human activities themselves can interact with climate or environmental change in ways that either mitigate or exacerbate the human impacts. Although human activities in the Arctic are generally assumed to be modest, our analysis suggests that those activities may have larger influences on the arctic system than previously thought. Moreover, human influences could increase substantially in the near future. First, we illustrate how past human activities in the Arctic have combined with climatic variations to alter biophysical systems upon which fisheries and livestock depend. Second, we describe how current and future human activities could precipitate or affect the timing of major transitions in the arctic system. Past and future analyses both point to ways in which human activities in the Arctic can substantially influence the trajectory of arctic system change.

HUMAN RESISTANCE TO THE USE OF INFORMATION TECHNOLOGY IN CONSTRUCTION COMPANIES

Directory of Open Access Journals (Sweden)

Andi Andi

2005-01-01

Full Text Available The process of implementing information technology (IT often fails to bring the intended result because the human dimension is not given adequate consideration. Yet despite some evidence of failure, little has been written on the nature of human performance, compared to abundant resources about technical and procedural aspects, as it applies to the ideals of the IT philosophy. To combat people’s deficiencies, this paper focuses mainly on the question why people resist IT. It explores sources of human resistance to the use of IT. A survey is the conducted to personnel working for construction companies to examine the resistance sources. The result reveals personal money, habit, and threat to information security as most dominant sources for such resistance, instead of fear of employment instability as many previous researches have discussed. The paper discusses the resistances and suggests possible solutions to deal with them.

77 FR 70544 - Agency Information Collection Activities; Proposed Information Collection; Comment Request; Bank...

Science.gov (United States)

2012-11-26

... Activities; Proposed Information Collection; Comment Request; Bank Secrecy Act/Money Laundering Risk... entitled, ``Bank Secrecy Act/Money Laundering Risk Assessment,'' also known as the Money Laundering Risk... collection of information set forth in this document. Bank Secrecy Act/Money Laundering Risk Assessment (OMB...

Human-induced shifts in geomorphic process rates: An example of landslide activity following forest cover change.

Science.gov (United States)

Guns, Marie; Balthazar, Vincent; Vanacker, Veerle

2013-04-01

Mountain regions present unique challenges and opportunities to land use change research. Very few, if any, mountain ecosystems remain unaffected by human impact. Based on the exemplary evidence from local case studies, it is not yet possible to have an overall assessment of the extent and impact of human activities on mountain erosion as mountain regions are typically characterized by rapid changes in geomorphic, cryospheric, climatic, hydrologic, ecological and socio-economic conditions over relatively short distances. Here, we present a conceptual model that allows evaluating human-induced shifts in geomorphic process rates. The basic idea behind this model is that the magnitude-frequency distribution of geomorphic processes is dependent on the intensity of human disturbance. The conceptual model is here applied for characterising landslide activity following forest cover change. We selected a tropical Andean catchment with a deforestation rate of 1.4% over the last 45 years. Landslide inventories were established based on historical aerial photographs (1963, 1977, and 1989) and very high-resolution satellite images (2010). Statistical analyses show that the total number of landslides is rising, and that they are increasingly associated with human disturbances (deforestation, road construction). This is particularly the case for shallow landslides that become more frequent after clearcutting. As the human-induced shifts in landslide activity are significant for the low-magnitude events only, the total impact on geomorphic process rates is rather limited in this particular area. This work shows that including information on the magnitude-frequency of geomorphic events before, during and after human disturbances offers new possibilities to quantify the complex response of geomorphic processes to human disturbances.

Techniques for optimizing human-machine information transfer related to real-time interactive display systems

Science.gov (United States)

Granaas, Michael M.; Rhea, Donald C.

1989-01-01

In recent years the needs of ground-based researcher-analysts to access real-time engineering data in the form of processed information has expanded rapidly. Fortunately, the capacity to deliver that information has also expanded. The development of advanced display systems is essential to the success of a research test activity. Those developed at the National Aeronautics and Space Administration (NASA), Western Aeronautical Test Range (WATR), range from simple alphanumerics to interactive mapping and graphics. These unique display systems are designed not only to meet basic information display requirements of the user, but also to take advantage of techniques for optimizing information display. Future ground-based display systems will rely heavily not only on new technologies, but also on interaction with the human user and the associated productivity with that interaction. The psychological abilities and limitations of the user will become even more important in defining the difference between a usable and a useful display system. This paper reviews the requirements for development of real-time displays; the psychological aspects of design such as the layout, color selection, real-time response rate, and interactivity of displays; and an analysis of some existing WATR displays.

Exploring Human Activity Patterns Using Taxicab Static Points

Directory of Open Access Journals (Sweden)

Bin Jiang

2012-06-01

Full Text Available This paper explores the patterns of human activities within a geographical space by adopting the taxicab static points which refer to the locations with zero speed along the tracking trajectory. We report the findings from both aggregated and individual aspects. Results from the aggregated level indicate the following: (1 Human activities exhibit an obvious regularity in time, for example, there is a burst of activity during weekend nights and a lull during the week. (2 They show a remarkable spatial drifting pattern, which strengthens our understanding of the activities in any given place. (3 Activities are heterogeneous in space irrespective of their drifting with time. These aggregated results not only help in city planning, but also facilitate traffic control and management. On the other hand, investigations on an individual level suggest that (4 activities witnessed by one taxicab will have different temporal regularity to another, and (5 each regularity implies a high level of prediction with low entropy by applying the Lempel-Ziv algorithm.

A Pattern Mining Approach to Sensor-based Human Activity Recognition

DEFF Research Database (Denmark)

Gu, Tao; Wang, Liang; Wu, Zhanqing

2011-01-01

Recognizing human activities from sensor readings has recently attracted much research interest in pervasive computing due to its potential in many applications such as assistive living and healthcare. This task is particularly challenging because human activities are often performed in not only...

Human Activity Differentially Redistributes Large Mammals in the Canadian Rockies National Parks

Directory of Open Access Journals (Sweden)

James Kimo. Rogala

2011-09-01

Full Text Available National parks are important for conservation of species such as wolves (Canis lupus and elk (Cervus canadensis. However, topography, vegetation conditions, and anthropogenic infrastructure within parks may limit available habitat. Human activity on trails and roads may lead to indirect habitat loss, further limiting available habitat. Predators and prey may respond differentially to human activity, potentially disrupting ecological processes. However, research on such impacts to wildlife is incomplete, especially at fine spatial and temporal scales. Our research investigated the relationship between wolf and elk distribution and human activity using fine-scale Global Positioning System (GPS wildlife telemetry locations and hourly human activity measures on trails and roads in Banff, Kootenay, and Yoho National Parks, Canada. We observed a complex interaction between the distance animals were located from trails and human activity level resulting in species adopting both mutual avoidance and differential response behaviors. In areas < 50 m from trails human activity led to a mutual avoidance response by both wolves and elk. In areas 50 - 400 m from trails low levels of human activity led to differential responses; wolves avoided these areas, whereas elk appeared to use these areas as a predation refugia. These differential impacts on elk and wolves may have important implications for trophic dynamics. As human activity increased above two people/hour, areas 50 - 400 m from trails were mutually avoided by both species, resulting in the indirect loss of important montane habitat. If park managers are concerned with human impacts on wolves and elk, or on these species' trophic interactions with other species, they can monitor locations near trails and roads and consider hourly changes of human activity levels in areas important to wildlife.

Mining spatial information to investigate the evolution of karst rocky desertification and its human driving forces in Changshun, China.

Science.gov (United States)

Xu, Erqi; Zhang, Hongqi; Li, Mengxian

2013-08-01

The processes of karst rocky desertification (KRD) have been found to cause the most severe environmental degradation in southwestern China. Understanding the driving forces that cause KRD is essential for managing and restoring the areas that it impacts. Studies of the human driving forces of KRD are limited to the county level, a specific administrative unit in China; census data are acquired at this scale, which can lead to scale biases. Changshun County is studied here as a representative area and anthropogenic influences in the county are accounted for by using Euclidean distances for the proximity to roads and settlements. We propose a standard coefficient of human influence (SOI) that standardizes the Euclidean distances for different KRD transformations to compare the effects of human activities in different areas. In Changshun County, the individual influences of roads and settlements share similar characteristics. The SOIs of improved KRD transformation types are almost negative, but the SOIs of deteriorated types are nearly positive except for one form of KRD turning to the extremely severe KRD. The results indicated that the distribution and evolution of the KRD areas from 2000 to 2010 in Changshun were affected positively by human activities (e.g., KRD restoration projects) and also negatively (e.g., by intense and irrational land use). Our results demonstrate that the spatial techniques and SOI used in this study can effectively incorporate information concerning human influences and internal KRD transformations. This provides a suitable approach for studying the relationships between human activities and KRD processes at fine scales. Copyright © 2013 Elsevier B.V. All rights reserved.

Recognizing human behaviour using information from Smart Environments

OpenAIRE

Ros Izquierdo, María

2013-01-01

Ambient Intelligence is a new research line in Artificial Intelligence field. Under this paradigm, users interact with an environment that is equipped with different kinds of sensors and actuators. Thanks to those devices, applications in AmI collect users?? activities and exploit that information, in order to learn users?? activities and to be able to anticipate their needs. In this thesis, we present a method to understand user daily activities in order to help people to improve their ...

Human Activity Recognition from Body Sensor Data using Deep Learning.

Science.gov (United States)

Hassan, Mohammad Mehedi; Huda, Shamsul; Uddin, Md Zia; Almogren, Ahmad; Alrubaian, Majed

2018-04-16

In recent years, human activity recognition from body sensor data or wearable sensor data has become a considerable research attention from academia and health industry. This research can be useful for various e-health applications such as monitoring elderly and physical impaired people at Smart home to improve their rehabilitation processes. However, it is not easy to accurately and automatically recognize physical human activity through wearable sensors due to the complexity and variety of body activities. In this paper, we address the human activity recognition problem as a classification problem using wearable body sensor data. In particular, we propose to utilize a Deep Belief Network (DBN) model for successful human activity recognition. First, we extract the important initial features from the raw body sensor data. Then, a kernel principal component analysis (KPCA) and linear discriminant analysis (LDA) are performed to further process the features and make them more robust to be useful for fast activity recognition. Finally, the DBN is trained by these features. Various experiments were performed on a real-world wearable sensor dataset to verify the effectiveness of the deep learning algorithm. The results show that the proposed DBN outperformed other algorithms and achieves satisfactory activity recognition performance.

Human prostatic cancer cells, PC3, elaborate mitogenic activity which selectively stimulates human bone cells

International Nuclear Information System (INIS)

Perkel, V.S.; Mohan, S.; Herring, S.J.; Baylink, D.J.; Linkhart, T.A.

1990-01-01

Prostatic cancer typically produces osteoblastic metastases which are not attended by marrow fibrosis. In the present study we sought to test the hypothesis that prostatic cancer cells produce factor(s) which act selectively on human osteoblasts. Such a paracrine mechanism would explain the observed increase in osteoblasts, unaccompanied by an increase in marrow fibroblasts. To test this hypothesis we investigated the mitogenic activity released by the human prostatic tumor cell line, PC3. PC3 cells have been reported previously to produce mitogenic activity for cells that was relatively specific for rat osteoblasts compared to rat fibroblasts. However, the effects of this activity on human cells has not been examined previously. PC3-conditioned medium (CM) (5-50 micrograms CM protein/ml) stimulated human osteoblast proliferation by 200-950% yet did not stimulate human fibroblast proliferation ([3H]thymidine incorporation). PC3 CM also increased cell numbers in human osteoblast but not fibroblast cell cultures. To determine whether the osteoblast-specific mitogenic activity could be attributed to known bone growth factors, specific assays for these growth factors were performed. PC3 CM contained 10 pg insulin-like growth factor (IGF) I, less than 2 pg IGF II, 54 pg basic fibroblast growth factor, and 16 pg transforming growth factor beta/microgram CM protein. None of these growth factors alone or in combination could account for the observed osteoblast-specific PC3 cell-derived mitogenic activity. Furthermore, when 5 micrograms/ml PC3 CM was tested in combination with maximally effective concentrations of either basic fibroblast growth factor, IGF I, IGF II, or transforming growth factor beta, it produced an additive effect suggesting that PC3 CM stimulates osteoblast proliferation by a mechanism independent of these bone mitogens

75 FR 67370 - Agency Information Collection Activities: Proposed Collection; Comment Request

Science.gov (United States)

2010-11-02

... Transforming Healthcare Quality through Information Technology (THQIT).'' In accordance with the Paperwork... Cooperative Agreements for Transforming Healthcare Quality Through Information Technology (THQIT) AHRQ's... DEPARTMENT OF HEALTH AND HUMAN SERVICES Agency for Healthcare Research and Quality Agency...

Domestic dogs' (Canis familiaris) choices in reference to information provided by human and artificial hands.

Science.gov (United States)

Kundey, Shannon M A; Delise, Justin; De Los Reyes, Andres; Ford, Kathy; Starnes, Blair; Dennen, Weston

2014-03-01

Even young humans show sensitivity to the accuracy and reliability of informants' reports. Children are selective in soliciting information and in accepting claims. Recent research has also investigated domestic dogs' (Canis familiaris) sensitivity to agreement among human informants. Such research utilizing a common human pointing gesture to which dogs are sensitive in a food retrieval paradigm suggests that dogs might choose among informants according to the number of points exhibited, rather than the number of individuals indicating a particular location. Here, we further investigated dogs' use of information from human informants using a stationary pointing gesture, as well as the conditions under which dogs would utilize a stationary point. First, we explored whether the number of points or the number of individuals more strongly influenced dogs' choices. To this end, dogs encountered a choice situation in which the number of points exhibited toward a particular location and the number of individuals exhibiting those points conflicted. Results indicated that dogs chose in accordance with the number of points exhibited toward a particular location. In a second experiment, we explored the possibility that previously learned associations drove dogs' responses to the stationary pointing gesture. In this experiment, dogs encountered a choice situation in which artificial hands exhibited a stationary pointing gesture toward or away from choice locations in the absence of humans. Dogs chose the location to which the artificial hand pointed. These results are consistent with the notion that dogs may respond to a human pointing gesture due to their past-learning history.

A New World Information Order for Better Human Understanding.

Science.gov (United States)

Masmoudi, Mustapha

Many studies, particularly the report of the International Commission for the Study of Communication Problems (ICSCP), have tried to define a new world information order for better human understanding. What appears to be needed is the establishment of a new, open-ended, conceptual framework leading to a freer, more efficient, more equitable,…

Globalization on Trial: The Human Condition and the Information ...

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

He also focuses on our education system and how it will have to adapt to meet the new challenges of our global, information age. Globalization on Trial will interest ... Farhang Rajaee is a Visiting Associate Professor at the College of the Humanities, Carleton University, Ottawa, Canada. Professor Rajaee received his PhD ...

Time-Elastic Generative Model for Acceleration Time Series in Human Activity Recognition

Directory of Open Access Journals (Sweden)

Mario Munoz-Organero

2017-02-01

Full Text Available Body-worn sensors in general and accelerometers in particular have been widely used in order to detect human movements and activities. The execution of each type of movement by each particular individual generates sequences of time series of sensed data from which specific movement related patterns can be assessed. Several machine learning algorithms have been used over windowed segments of sensed data in order to detect such patterns in activity recognition based on intermediate features (either hand-crafted or automatically learned from data. The underlying assumption is that the computed features will capture statistical differences that can properly classify different movements and activities after a training phase based on sensed data. In order to achieve high accuracy and recall rates (and guarantee the generalization of the system to new users, the training data have to contain enough information to characterize all possible ways of executing the activity or movement to be detected. This could imply large amounts of data and a complex and time-consuming training phase, which has been shown to be even more relevant when automatically learning the optimal features to be used. In this paper, we present a novel generative model that is able to generate sequences of time series for characterizing a particular movement based on the time elasticity properties of the sensed data. The model is used to train a stack of auto-encoders in order to learn the particular features able to detect human movements. The results of movement detection using a newly generated database with information on five users performing six different movements are presented. The generalization of results using an existing database is also presented in the paper. The results show that the proposed mechanism is able to obtain acceptable recognition rates (F = 0.77 even in the case of using different people executing a different sequence of movements and using different

Inconvenient Human Rights: Water and Sanitation in Sweden's Informal Roma Settlements.

Science.gov (United States)

Davis, Martha F; Ryan, Natasha

2017-12-01

Following an increase in Roma migration under the European "freedom of movement" laws, Swedish municipalities initiated more than 80 evictions of informal Roma settlements on the grounds of poor sanitation between 2013 and 2016. These evictions echo policies from earlier in the 20th century, when Roma living in Sweden were often marginalized through the denial of access to water and sanitation facilities. The recent Swedish evictions also follow similar government actions across Europe, where Roma settlements are controlled through the denial of access to water and sanitation. However, access to water and sanitation-central aspects of human health-are universal human rights that must be available to all people present in a jurisdiction, regardless of their legal status. The evictions described here violated Sweden's obligations under both European and international human rights law. More positive government responses are required, such as providing shelters or camping sites, setting up temporary facilities, and directly engaging with communities to address water and sanitation issues. The authors conclude by providing guidance on how states and municipalities can meet their human rights obligations with respect to water and sanitation for vulnerable Roma individuals and informal settlements in their communities.

RNA-Guided Activation of Pluripotency Genes in Human Fibroblasts

DEFF Research Database (Denmark)

Xiong, Kai; Zhou, Yan; Blichfeld, Kristian Aabo

2017-01-01

-associated protein 9 (dCas9)-VP64 (CRISPRa) alone, or a combination of dCas9-VP64 and MS2-P65-HSF1 [synergistic activation mediator (SAM) system] mediated activation of five pluripotency genes: KLF4 (K), LIN28 (L), MYC (M), OCT4 (O), and SOX2 (S) in human cells (HEK293T, HeLa, HepG2, and primary fibroblasts...... could be obtained from these SAM fibroblasts. In conclusion, our study showed that CRISPR/Cas9-based ATFs are potent to activate and maintain transcription of endogenous human pluripotent genes. However, future improvements of the system are still required to improve activation efficiency and cellular...

Magnetogastrographic detection of gastric electrical response activity in humans

International Nuclear Information System (INIS)

Irimia, Andrei; Richards, William O; Bradshaw, L Alan

2006-01-01

The detection and characterization of gastric electrical activity has important clinical applications, including the early diagnosis of gastric diseases in humans. In mammals, this phenomenon has two important features: an electrical control activity (ECA) that manifests itself as an electric slow wave (with a frequency of 3 cycles per minute in humans) and an electrical response activity (ERA) that is characterized by spiking potentials during the plateau phase of the ECA. Whereas the ECA has been recorded in humans both invasively and non-invasively (magnetogastrography-MGG), the ERA has never been detected non-invasively in humans before. In this paper, we report on our progress towards the non-invasive detection of ERA from the human stomach using a procedure that involves the application of principal component analysis to MGG recordings, which were acquired in our case from ten normal human patients using a Superconducting QUantum Interference Device (SQUID) magnetometer. Both pre- and post-prandial recordings were acquired for each patient and 20 min of recordings (10 min of pre-prandial and 10 min of post-prandial data) were analysed for each patient. The mean percentage of ECA slow waves that were found to exhibit spikes of suspected ERA origin was 41% and 61% for pre- and post-prandial recordings, respectively, implying a 47% ERA increase post-prandially (P < 0.0001 at a 95% confidence level). The detection of ERA in humans is highly encouraging and points to the possible use of non-invasive ERA recordings as a valuable tool for the study of human gastric disorders

Impact of the human activities on the climate

International Nuclear Information System (INIS)

Deque, M.

2007-01-01

In the framework of the A2 scenario of the GIEC, the possible impacts on the french climate, of the human activities are examined. It seems that the human activities imposed and will be able to impose a faster change of the climate than the natural changes. For the hundred coming years the main characteristics could be: an increase of the temperature, an increase of the rains in winter and a decrease in summer, a decrease of the water in soils expected in freezing areas and an increase of the drought periods. (A.L.B.)

Kinetics of the Factor XIa catalyzed activation of human blood coagulation Factor IX

International Nuclear Information System (INIS)

Walsh, P.N.; Bradford, H.; Sinha, D.; Piperno, J.R.; Tuszynski, G.P.

1984-01-01

The kinetics of activation of human Factor IX by human Factor XIa was studied by measuring the release of a trichloroacetic acid-soluble tritium-labeled activation peptide from Factor IX. Initial rates of trichloroacetic acid-soluble 3 H-release were linear over 10-30 min of incubation of Factor IX (88 nM) with CaCl 2 (5 mM) and with pure (greater than 98%) Factor XIa (0.06-1.3 nM), which was prepared by incubating human Factor XI with bovine Factor XIIa. Release of 3 H preceded the appearance of Factor IXa activity, and the percentage of 3 H released remained constant when the mole fraction of 3 H-labeled and unlabeled Factor IX was varied and the total Factor IX concentration remained constant. A linear correlation (r greater than 0.98, P less than 0.001) was observed between initial rates of 3 H-release and the concentration of Factor XIa, measured by chromogenic assay and by radioimmunoassay and added at a Factor IX:Factor XIa molar ratio of 70-5,600. Kinetic parameters, determined by Lineweaver-Burk analysis, include K/sub m/ (0.49 microM) of about five- to sixfold higher than the plasma Factor IX concentration, which could therefore regulate the reaction. The catalytic constant (k/sub cat/) (7.7/s) is approximately 20-50 times higher than that reported by Zur and Nemerson for Factor IX activation by Factor VIIa plus tissue factor. Therefore, depending on the relative amounts of Factor XIa and Factor VIIa generated in vivo and other factors which may influence reaction rates, these kinetic parameters provide part of the information required for assessing the relative contributions of the intrinsic and extrinsic pathways to Factor IX activation, and suggest that the Factor XIa catalyzed reaction is physiologically significant

78 FR 38992 - Agency Information Collection Activities; Proposed Collection; Comment Request; Reports of...

Science.gov (United States)

2013-06-28

... DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration [Docket No. FDA-2013-N-0723... site will provide the following information: Introduction Tracking information Contact information [cir... [cir] Domestic consignee information [cir] Foreign consignee information [cir] Communication...

Elevation of telomerase activity in chronic radiation ulcer of human skin

International Nuclear Information System (INIS)

Li Xiaoying; Zhao Po; Wang Dewen; Yang Zhixiang

1997-01-01

Objective: To investigate the levels of telomerase activity in chronic radiation ulcers of human skin and the possible relationship between the enzyme and cancer transformation. Method: Using nonisotopic telomere repeat amplification protocol (TRAP), detections were performed in 20 cases of chronic radiation ulcers of human skin, 5 cases of normal skin tissues and 5 cases of carcinoma. Results: The positive rates for telomerase activity were 30.0%(6/20), 0(0/5) and 100%(5/5) in chronic radiation ulcers of human skin, normal skin and carcinoma, respectively. The telomerase activity in radiation ulcer was weaker than in carcinoma. Conclusion: The telomerase activity assay might be used as a marker for predicting the prognosis and the effect of treatment in chronic radiation ulcer of human skin

Designing and Implementing an Information Literacy Course in the Humanities

Directory of Open Access Journals (Sweden)

Ellen Daugman

2012-04-01

Full Text Available As instructors in the Z. Smith Reynolds Library information literacy program at Wake Forest University, we are expanding beyond our introductory course model to teach discipline-specific information literacy courses. Z. Smith Reynolds Library initiated an information literacy program in 2002 and currently offers a 1-credit elective, taught in 15 sections per semester. Advanced discipline-specific courses were added in Spring 2008, and include courses in the social sciences, business and economics, and the sciences. As the subject specialists for art, dance, literature, music, religion and theatre, we were charged with creating a credit-bearing arts and humanities information literacy course, LIB250: Humanities Research Sources and Strategies. In addition to our arts and humanities course content and methodologies, we incorporated web2.0 technologies throughout course design and delivery in order to streamline planning and to facilitate student engagement. In our course preparation, we utilized Google Docs for collaborative brainstorming, planning, organization and self-evaluation. Our students used Google Docs for submitting their course assignments, which included a faculty or practitioner interview and the final project for the course. The project was an annotated bibliography that extended beyond books and journal articles to include additional elements such as scholarly associations, core journals, primary sources, and major special collections related to their topics. A blog was used for the course syllabus, incorporating assignment information and supplementary resources for class topics; student blogging included reflection and feedback on each lecture as well as application of class content to their research topics. A visit to the Library's Rare Books Reading Room exposed the students to the Library's unique holdings and introduced them to rare and archival resources at other libraries. Our article presents this process from start to

75 FR 43609 - Agency Information Collection Activities: Emergency Request

Science.gov (United States)

2010-07-26

.... Information Collection Because of the legal considerations discussed above, if a Social Security beneficiary... SOCIAL SECURITY ADMINISTRATION Agency Information Collection Activities: Emergency Request The Social Security Administration (SSA) publishes a list of information collection packages requiring...

Human Reliability Assessment and Human Performance Evaluation: Research and Analysis Activities at the U.S. NRC

International Nuclear Information System (INIS)

Ramey-Smith, A.M.

1998-01-01

The author indicates the themes of the six programs identified by the US NRC mission on human performance and human reliability activities. They aim at developing the technical basis to support human performance, at developing and updating a model of human performance and human reliability, at fostering national and international dialogue and cooperation efforts on human performance evaluation, at conducting operating events analysis and database development, and at providing support to human performance and human reliability inspection

Public information activities of the IAEA

International Nuclear Information System (INIS)

Meyer, Hand-Friedrich

1998-01-01

Since the accident at Three Mile Island in 1979 and increasingly since the Chernobyl accident 1986, the Division of Public Information (DPI) of the IAEA has become a contact point for journalists on all questions related to the nuclear energy and nuclear applications. The IAEA receives a continuously growing number of hits on its Internet Homepage. This is followed by an increasing number of E-mail letters from all over the world. The three main fields of general information activities of the IAEA's DPI are: 1 - the verification system of IAEA in the framework of international treaties concerning non-proliferation of nuclear weapons; 2 - the IAEA's work for safe operation of nuclear installations and its many services to improve the safe application of radiation and isotopes as well as safe operation of nuclear power plants. Questions on illicit trafficking and dangers of wrongly applied radiation sources play an important factor in our public information work in the field of nuclear safety; 3 - the IAEA's activities in the transfer of technology and the application of radiation and isotopes in agriculture, health, industry, hydrology and research. In addition to the new ways of providing information on the IAEA there is still the long established means of contact through periodicals like 'IAEA Bulletin' and 'IAEA Newsbriefs' or general information films like, for instance, 'The International Atom', 'The Nuclear Age', 'How a nuclear power plant works', 'Nuclear Energy and the Environment', 'The Safe Transport of Radioactive Material', 'The International Chernobyl Project', 'Mission Iraq' and others. Besides, there are aspects on longer lasting perspectives which should be considered: - physics teaching at schools; - information on nuclear fission, nuclear power, radiation and isotopes in a science museum in the capital; an information center at nuclear research facilities in the country. Nuclear has many advantages but it is difficult these days to convince normal

Leisure Time Activities and Mental Health in Informal Dementia Caregivers.

Science.gov (United States)

Schüz, Benjamin; Czerniawski, Alana; Davie, Nicola; Miller, Lisa; Quinn, Michael G; King, Carolyn; Carr, Andrea; Elliott, Kate-Ellen J; Robinson, Andrew; Scott, Jenn L

2015-07-01

Dementia prevalence and the demand for dementia care are increasing. Informal caregiving accounts for a large proportion of dementia care, but can come at high cost for caregivers. Informal dementia caregivers are at higher risk for mental health problems than the general population. This study examines whether perceived change in leisure activities is one working mechanism linking stress and burden experience in dementia caregiving to lower mental health (depressive symptoms, anxiety symptoms, and reduced satisfaction with life), and whether there are group-based leisure activities that can buffer this detrimental effect. A total of 346 informal Australian dementia caregivers (88.15% female, age 18-82 years) participated in an online study. Mediation and moderation analyses using multiple regression demonstrated that perceived changes in leisure activities linked caregiving stress and burden to lower mental health, and that membership in groups engaging in affiliation or social activities attenuates negative effects of caregiving. Informal dementia caregivers benefit from satisfying leisure activities. In particular, engaging in social activities and self-help groups buffered the negative impact of caregiving. © 2015 The International Association of Applied Psychology.

The Right of the Child to Information: The Role of Public Libraries in Human Rights Education.

Science.gov (United States)

Koren, Marian

Information and education are crucial for child development. The child's right to information and education protect human values and the human dignity of the child. Formal and non-formal forms of education by parents, friends, schools, and libraries should be based on human rights. The United Nations (UN) Convention on the Rights of the Child…

The Activation Pathway of Human Rhodopsin in Comparison to Bovine Rhodopsin*

Science.gov (United States)

Kazmin, Roman; Rose, Alexander; Szczepek, Michal; Elgeti, Matthias; Ritter, Eglof; Piechnick, Ronny; Hofmann, Klaus Peter; Scheerer, Patrick; Hildebrand, Peter W.; Bartl, Franz J.

2015-01-01

Rhodopsin, the photoreceptor of rod cells, absorbs light to mediate the first step of vision by activating the G protein transducin (Gt). Several human diseases, such as retinitis pigmentosa or congenital night blindness, are linked to rhodopsin malfunctions. Most of the corresponding in vivo studies and structure-function analyses (e.g. based on protein x-ray crystallography or spectroscopy) have been carried out on murine or bovine rhodopsin. Because these rhodopsins differ at several amino acid positions from human rhodopsin, we conducted a comprehensive spectroscopic characterization of human rhodopsin in combination with molecular dynamics simulations. We show by FTIR and UV-visible difference spectroscopy that the light-induced transformations of the early photointermediates are very similar. Significant differences between the pigments appear with formation of the still inactive Meta I state and the transition to active Meta II. However, the conformation of Meta II and its activity toward the G protein are essentially the same, presumably reflecting the evolutionary pressure under which the active state has developed. Altogether, our results show that although the basic activation pathways of human and bovine rhodopsin are similar, structural deviations exist in the inactive conformation and during receptor activation, even between closely related rhodopsins. These differences between the well studied bovine or murine rhodopsins and human rhodopsin have to be taken into account when the influence of point mutations on the activation pathway of human rhodopsin are investigated using the bovine or murine rhodopsin template sequences. PMID:26105054

Prediction of the human response time with the similarity and quantity of information

International Nuclear Information System (INIS)

Lee, Sungjin; Heo, Gyunyoung; Chang, Soon Heung

2006-01-01

Memory is one of brain processes that are important when trying to understand how people process information. Although a large number of studies have been made on the human performance, little is known about the similarity effect in human performance. The purpose of this paper is to propose and validate the quantitative and predictive model on the human response time in the user interface with the concept of similarity. However, it is not easy to explain the human performance with only similarity or information amount. We are confronted by two difficulties: making the quantitative model on the human response time with the similarity and validating the proposed model by experimental work. We made the quantitative model based on the Hick's law and the law of practice. In addition, we validated the model with various experimental conditions by measuring participants' response time in the environment of computer-based display. Experimental results reveal that the human performance is improved by the user interface's similarity. We think that the proposed model is useful for the user interface design and evaluation phases

Inferring Human Activity in Mobile Devices by Computing Multiple Contexts.

Science.gov (United States)

Chen, Ruizhi; Chu, Tianxing; Liu, Keqiang; Liu, Jingbin; Chen, Yuwei

2015-08-28

This paper introduces a framework for inferring human activities in mobile devices by computing spatial contexts, temporal contexts, spatiotemporal contexts, and user contexts. A spatial context is a significant location that is defined as a geofence, which can be a node associated with a circle, or a polygon; a temporal context contains time-related information that can be e.g., a local time tag, a time difference between geographical locations, or a timespan; a spatiotemporal context is defined as a dwelling length at a particular spatial context; and a user context includes user-related information that can be the user's mobility contexts, environmental contexts, psychological contexts or social contexts. Using the measurements of the built-in sensors and radio signals in mobile devices, we can snapshot a contextual tuple for every second including aforementioned contexts. Giving a contextual tuple, the framework evaluates the posteriori probability of each candidate activity in real-time using a Naïve Bayes classifier. A large dataset containing 710,436 contextual tuples has been recorded for one week from an experiment carried out at Texas A&M University Corpus Christi with three participants. The test results demonstrate that the multi-context solution significantly outperforms the spatial-context-only solution. A classification accuracy of 61.7% is achieved for the spatial-context-only solution, while 88.8% is achieved for the multi-context solution.

The Development of Pyro Human Resource Information System

International Nuclear Information System (INIS)

Jung, M. S.; Kim, S. K.; Ko, W. I.

2012-01-01

This paper aims to provide the current status of the development of a human resource information system. Establishing an expert information system helps readily provide the personal information of international and local pyroprocess experts who are currently conducting research at institutes. The information system offers a data processing environment in which users can easily access the necessary information online for a prompt search. Setting up this online networking enables us to easily obtain the personal information of pyro-experts, if necessary, and to provide the basic materials to seek an efficient system of technical cooperation. As pyro-technology presently falls under a high-tech field in the area of back-end fuel cycle, the research is under way at some advanced nuclear nations such as the United States, Korea, and Japan: therefore, the cooperation of experts from home and abroad is critical, helping gain maximum achievements through minimum investments and personnel. Since many efforts should be preceded to secure original technology in the field of fair technology and pyrosystem engineering, we can attain the research goal efficiently if other advanced nuclear nations have already obtained advanced technology, by efficiently realizing the goal through the benchmarking of the necessary technology. To form a cooperative system for such experts, we should know, above all, what research experts are conducting in certain fields at certain laboratories of certain countries

Antiproliferative activity of recombinant human interferon-λ2 ...

African Journals Online (AJOL)

Antiproliferative activity of recombinant human interferon-λ2 expressed in stably ... The representing 26 kDa protein band of IFN-λ2 was detected by SDS-PAGE and ... The antiproliferative activity of hIFN-λ2 was determined by MTT assay.

Chemosensory danger detection in the human brain: Body odor communicating aggression modulates limbic system activation.

Science.gov (United States)

Mutic, Smiljana; Brünner, Yvonne F; Rodriguez-Raecke, Rea; Wiesmann, Martin; Freiherr, Jessica

2017-05-01

Although the sense of smell is involved in numerous survival functions, the processing of body odor emitted by dangerous individuals is far from understood. The aim of the study was to explore how human fight chemosignals communicating aggression can alter brain activation related to an attentional bias and danger detection. While the anterior cingulate cortex (ACC) was seen involved in processing threat-related emotional information, danger detection and error evaluation, it still remains unknown whether human chemosignals communicating aggression can potentially modulate this activation. In the fMRI experiment, healthy male and female normosmic odor recipients (n=18) completed a higher-order processing task (emotional Stroop task with the word categories anger, anxiety, happiness and neutral) while exposed to aggression and exercise chemosignals (collected from a different group of healthy male donors; n=16). Our results provide first evidence that aggression chemosignals induce a time-sensitive attentional bias in chemosensory danger detection and modulate limbic system activation. During exposure to aggression chemosignals compared to exercise chemosignals, functional imaging data indicates an enhancement of thalamus, hypothalamus and insula activation (pbody odor signals are discussed. Copyright © 2017 Elsevier Ltd. All rights reserved.

Personal Digital Information Archiving among Students of Social Sciences and Humanities

Science.gov (United States)

Krtalic, Maja; Marcetic, Hana; Micunovic, Milijana

2016-01-01

Introduction: As both academic citizens and active participants in information society who use information, students produce huge amounts of personal digital data and documents. It is therefore important to raise questions about their awareness, responsibility, tendencies and activities they undertake to preserve their collective digital heritage.…

Research on Human Dynamics of Information Release of WeChat Users

OpenAIRE

Zhang, Juliang; Zhang, Shengtai; Duo, Fan; Wang, Feifei

2017-01-01

The information release behavior of WeChat users is influenced by many factors, and studying the rules of the behavior of users in WeChat can provide theoretical help for the dynamic research of mobile social network users. By crawling WeChat moments information of nine users within 5 years, we used the human behavioral dynamics system to analyze users' behavior. The results show that the information distribution behavior of WeChat users is consistent with the power-law distribution for a cer...

Researcher liability for negligence in human subject research: informed consent and researcher malpractice actions.

Science.gov (United States)

Jansson, Roger L

2003-02-01

Two sets of federal regulations, the "Common Rule" and Food and Drug Administration (FDA) regulations, govern human subject research that is either federally-funded or involves FDA regulated products. These regulations require, inter alia, that: (1) researchers obtain informed consent from human subjects, and (2) that an Institutional Review Board (IRB) independently review and approve the research protocol. Although the federal regulations do not provide an express cause of action against researchers, research subjects should be able to bring informed consent and malpractice actions against researchers by establishing a duty of care and standard of care. Researchers owe human subjects a duty of care analogous to the special relationship between physicians and patients. The federal regulations should provide the minimum standard of care for informed consent in human subject research, and complying with them should be a partial defense. In contrast, expert testimony should establish the standard of care for researcher malpractice, and IRB approval should be a partial defense.

78 FR 8150 - Proposed Information Collection Activity; Comment Request

Science.gov (United States)

2013-02-05

..., are effective at delaying sexual activity, increasing condom or contraceptive use for sexually active... Information Collection Activity; Comment Request Title: Personal Responsibility Education Program (PREP) Multi... (ACF) propose a data collection activity as part of the Personal Responsibility Education Program (PREP...

Spain: Marine sciences information activity report for 1999/2000

OpenAIRE

Wulff, Enrique

2002-01-01

This 99/00 marine sciences-relevant activities report is a portrait of research information available within Spain. From the least available electronic information on such subjects as vaccines to a flood of information on thematics like Spanish Antartic research.

76 FR 78673 - New Agency Information Collection Activity Under OMB Review: Exercise Information System (EXIS)

Science.gov (United States)

2011-12-19

... Collection Activity Under OMB Review: Exercise Information System (EXIS) AGENCY: Transportation Security... burden for the TSA Exercise Information System (EXIS). EXIS is a web portal designed to serve... Requirement Title: Exercise Information System (EXIS). Type of Request: New collection. OMB Control Number...

Spatio-Temporal Analysis of Human Activities in Indoor Environments through Mobile Sensing

DEFF Research Database (Denmark)

Prentow, Thor Siiger

with the intuition and personal experience of the planners. Lack of real-time information on task execution has made it difficult to adapt to changes in the schedules, such as delays or suddenly occurring urgent tasks. The recent advances in methods and devices for mobile sensing provides opportunities...... methods for spatio-temporal analysis of human activities in indoor environments based on mobile sensing. The methods aim to improve scheduling and facility utilization by providing information on the used route networks, transportation modes, travel times, and the flow of people through buildings....... The methods are based on large-scale real-time indoor positioning through the use of existing WiFi infrastructures, which allows for easy deployment even in very large building complexes. The methods are designed for real-time operation, which enables them to detect and adjust to changes as they occur...

Human activity and climate variability project: annual report 2001

International Nuclear Information System (INIS)

Harle, K.J.; Heijnis, H.; Henderson-Sellers, A.; Sharmeen, S.; Zahorowski, W.

2002-01-01

Knowledge of the state of the Australian environment, including natural climate variability, prior to colonial settlement is vital if we are to define and understand the impact of over two hundred years of post-industrial human activity on our landscape. ANSTO, in conjunction with university partners, is leading a major research effort to provide natural archives of human activity and climate variability over the last 500 years in Australia, utilising a variety of techniques, including lead-210 and radiocarbon dating and analyses of proxy indicators (such as microfossils) as well as direct evidence (such as trace elements) of human activity and climate variability. The other major project objectives were to contribute to the understanding of the impact of human induced and natural aerosols in the East Asian region on climate through analysis and sourcing of fine particles and characterisation of air samples using radon concentrations and to contribute to the improvement of land surface parameterisation schemes and investigate the potential to use stable isotopes to improve global climate models and thus improve our understanding of future climate

The Value of Sharing Information: A Neural Account of Information Transmission.

Science.gov (United States)

Baek, Elisa C; Scholz, Christin; O'Donnell, Matthew Brook; Falk, Emily B

2017-07-01

Humans routinely share information with one another. What drives this behavior? We used neuroimaging to test an account of information selection and sharing that emphasizes inherent reward in self-reflection and connecting with other people. Participants underwent functional MRI while they considered personally reading and sharing New York Times articles. Activity in neural regions involved in positive valuation, self-related processing, and taking the perspective of others was significantly associated with decisions to select and share articles, and scaled with preferences to do so. Activity in all three sets of regions was greater when participants considered sharing articles with other people rather than selecting articles to read themselves. The findings suggest that people may consider value not only to themselves but also to others even when selecting news articles to consume personally. Further, sharing heightens activity in these pathways, in line with our proposal that humans derive value from self-reflection and connecting to others via sharing.

Employee Self Service-based Human Resources Information System Development and Implementation. Case Study: BCP Indonesia

Directory of Open Access Journals (Sweden)

Lestari Margatama

2017-01-01

Full Text Available Human Resources Information System is a Decision Support System that provides necessary information regarding human resources in an organization. Web-based e-HR is one of the best practical solution in human resources management that allows employees to focus more on their job instead of HR administration procedures. By implementing Employee Self Service (ESS it is expected that worker satisfaction can be improved and in turn will also improve employees’ performance. The web-based ESS is characterized by personalized information approach which offers personal and management services on information access and structured workflow process. The object covered in this research is HR administration of PT. BCP to create and implement ESS with system prototype development and UML modeling tool. The resulting system is designed to quickly access the information and company procedures to shorten the time for BCP’s employee administration and documentation

Perception of Management on Outcomes of Human Resource Information System (HRIS

Directory of Open Access Journals (Sweden)

Md Shamimul Islam

2016-03-01

Full Text Available Human Resource Management is getting focused day by day for ensuring and sustaining organizational success. HRIS (Human Resource Information System is a prevailing HR tool coupled with contemporary innovation of information system. HRIS is defined as the information system to collect, store, process and retrieve HR information to seamlessly help organization achieve strategic objectives. For installation of HRIS, commitment, decision and action of management are inevitable. This study aims at unveiling implicit perception of management regarding performance of HRIS towards organizational objectives in three perspectives such as “Operational Efficiency (OE”, “Managerial Effectiveness (ME” and “Strategic Finesse (SF”. 54% and 57% respondents respectively agree that HRIS enhances OE and ensures ME. On the other hand, 70% respondents underline HRIS as SF. However, the hypothesis results showed that management perception toward HRIS performance is independent of experience, gender and education of managerial people but associated with organizational origin either Bangladeshi or foreign. Thus it is concluded that foreign companies are advanced to adopt contemporary tools whereas Bangladeshi firms are averse or endeavor to assimilate laggardly. The findings open the door for future research why Bangladeshi firms respond at late.

A Multiscale Survival Process for Modeling Human Activity Patterns.

Science.gov (United States)

Zhang, Tianyang; Cui, Peng; Song, Chaoming; Zhu, Wenwu; Yang, Shiqiang

2016-01-01

Human activity plays a central role in understanding large-scale social dynamics. It is well documented that individual activity pattern follows bursty dynamics characterized by heavy-tailed interevent time distributions. Here we study a large-scale online chatting dataset consisting of 5,549,570 users, finding that individual activity pattern varies with timescales whereas existing models only approximate empirical observations within a limited timescale. We propose a novel approach that models the intensity rate of an individual triggering an activity. We demonstrate that the model precisely captures corresponding human dynamics across multiple timescales over five orders of magnitudes. Our model also allows extracting the population heterogeneity of activity patterns, characterized by a set of individual-specific ingredients. Integrating our approach with social interactions leads to a wide range of implications.

BACTERICIDAL ACTIVITY OF HUMAN SERA AGAINST ...

African Journals Online (AJOL)

hi-tech

East African Medical Journal Vol. 77 No. 12 December 2000. BACTERICIDAL ACTIVITY OF HUMAN SERA AGAINST SALMONELLA TYPHI AND SALMONELLA PARATYPHI A, B, C. E.O. Igumbor, BSc, MSc, PhD, Department of Medical Microbiology, School of Medicine, University of Zimbabwe P.O. Box Al78, Avondale, ...

Stretch activates human myometrium via ERK, caldesmon and focal adhesion signaling.

Directory of Open Access Journals (Sweden)

Yunping Li

2009-10-01

Full Text Available An incomplete understanding of the molecular mechanisms responsible for myometrial activation from the quiescent pregnant state to the active contractile state during labor has hindered the development of effective therapies for preterm labor. Myometrial stretch has been implicated clinically in the initiation of labor and the etiology of preterm labor, but the molecular mechanisms involved in the human have not been determined. We investigated the mechanisms by which gestation-dependent stretch contributes to myometrial activation, by using human uterine samples from gynecologic hysterectomies and Cesarean sections. Here we demonstrate that the Ca requirement for activation of the contractile filaments in human myometrium increases with caldesmon protein content during gestation and that an increase in caldesmon phosphorylation can reverse this inhibitory effect during labor. By using phosphotyrosine screening and mass spectrometry of stretched human myometrial samples, we identify 3 stretch-activated focal adhesion proteins, FAK, p130Cas, and alpha actinin. FAK-Y397, which signals integrin engagement, is constitutively phosphorylated in term human myometrium whereas FAK-Y925, which signals downstream ERK activation, is phosphorylated during stretch. We have recently identified smooth muscle Archvillin (SmAV as an ERK regulator. A newly produced SmAV-specific antibody demonstrates gestation-specific increases in SmAV protein levels and stretch-specific increases in SmAV association with focal adhesion proteins. Thus, whereas increases in caldesmon levels suppress human myometrium contractility during pregnancy, stretch-dependent focal adhesion signaling, facilitated by the ERK activator SmAV, can contribute to myometrial activation. These results suggest that focal adhesion proteins may present new targets for drug discovery programs aimed at regulation of uterine contractility.

76 FR 8742 - Proposed Information Collection Activity; Comment Request

Science.gov (United States)

2011-02-15

... DEPARTMENT OF HEALTH AND HUMAN SERVICES Administration for Children and Families Proposed... the Social Security Act (the Act) to authorize the Secretary, through the Federal Parent Locator... with information maintained by insurers (or their agents) concerning insurance claims, settlements...

A Novel Wearable Sensor-Based Human Activity Recognition Approach Using Artificial Hydrocarbon Networks.

Science.gov (United States)

Ponce, Hiram; Martínez-Villaseñor, María de Lourdes; Miralles-Pechuán, Luis

2016-07-05

Human activity recognition has gained more interest in several research communities given that understanding user activities and behavior helps to deliver proactive and personalized services. There are many examples of health systems improved by human activity recognition. Nevertheless, the human activity recognition classification process is not an easy task. Different types of noise in wearable sensors data frequently hamper the human activity recognition classification process. In order to develop a successful activity recognition system, it is necessary to use stable and robust machine learning techniques capable of dealing with noisy data. In this paper, we presented the artificial hydrocarbon networks (AHN) technique to the human activity recognition community. Our artificial hydrocarbon networks novel approach is suitable for physical activity recognition, noise tolerance of corrupted data sensors and robust in terms of different issues on data sensors. We proved that the AHN classifier is very competitive for physical activity recognition and is very robust in comparison with other well-known machine learning methods.

78 FR 56897 - Agency Information Collection Activities; Proposed Collection; Public Comment Request

Science.gov (United States)

2013-09-16

... Health and Human Services (HHS), HHS collects some basic information about the company's product through... necessity and utility of the proposed information collection for the proper performance of the agency's...

Human Genetics. Informational and Educational Materials, Vol. I, No. 1.

Science.gov (United States)

National Clearinghouse for Human Genetic Diseases (DHEW/PHS), Rockville, MD.

This catalogue, prepared by the National Clearinghouse for Human Genetic Diseases, provides educational and informational materials on the latest advances in testing, diagnosing, counseling, and treating individuals with a concern for genetic diseases. The materials include books, brochures, pamphlets, journal articles, audio cassettes,…

Human activity and the spread of Phytophthora ramorum

Science.gov (United States)

Hall J. Cushman; Michelle Cooper; Ross K. Meentemeyer; Shelly Benson

2008-01-01

Increasing numbers of studies are finding that humans can facilitate the spread of exotic plant species in protected wildlands. Hiking trails commonly serve as conduits for invaders and the number of exotic plant species occurring in protected areas is often correlated positively with visitation rates. Despite such evidence linking human activity to the spread of...

Where's the emotion? How sport psychology can inform research on emotion in human factors.

Science.gov (United States)

Eccles, David W; Ward, Paul; Woodman, Tim; Janelle, Christopher M; Le Scanff, Christine; Ehrlinger, Joyce; Castanier, Carole; Coombes, Stephen A

2011-04-01

The aim of this study was to demonstrate how research on emotion in sport psychology might inform the field of human factors. Human factors historically has paid little attention to the role of emotion within the research on human-system relations. The theories, methods, and practices related to research on emotion within sport psychology might be informative for human factors because fundamentally, sport psychology and human factors are applied fields concerned with enhancing performance in complex, real-world domains. Reviews of three areas of theory and research on emotion in sport psychology are presented, and the relevancy of each area for human factors is proposed: (a) emotional preparation and regulation for performance, (b) an emotional trait explanation for risk taking in sport, and (c) the link between emotion and motor behavior. Finally, there are suggestions for how to continue cross-talk between human factors and sport psychology about research on emotion and related topics in the future. The relevance of theory and research on emotion in sport psychology for human factors is demonstrated. The human factors field and, in particular, research on human-system relations may benefit from a consideration of theory and research on emotion in sport psychology. Theories, methods, and practices from sport psychology might be applied usefully to human factors.

The Human Genome Project: Information access, management, and regulation. Final report

Energy Technology Data Exchange (ETDEWEB)

McInerney, J.D.; Micikas, L.B.

1996-08-31

The Human Genome Project is a large, internationally coordinated effort in biological research directed at creating a detailed map of human DNA. This report describes the access of information, management, and regulation of the project. The project led to the development of an instructional module titled The Human Genome Project: Biology, Computers, and Privacy, designed for use in high school biology classes. The module consists of print materials and both Macintosh and Windows versions of related computer software-Appendix A contains a copy of the print materials and discs containing the two versions of the software.

Influence of vestibular activation on respiration in humans

Science.gov (United States)

Monahan, Kevin D.; Sharpe, Melissa K.; Drury, Daniel; Ertl, Andrew C.; Ray, Chester A.

2002-01-01

The purpose of this study was to determine the effects of the semicircular canals and otolith organs on respiration in humans. On the basis of animal studies, we hypothesized that vestibular activation would elicit a vestibulorespiratory reflex. To test this hypothesis, respiratory measures, arterial blood pressure, and heart rate were measured during engagement of semicircular canals and/or otolith organs. Dynamic upright pitch and roll (15 cycles/min), which activate the otolith organs and semicircular canals, increased respiratory rate (Delta2 +/- 1 and Delta3 +/- 1 breaths/min, respectively; P < 0.05). Dynamic yaw and lateral pitch (15 cycles/min), which activate the semicircular canals, increased respiration similarly (Delta3 +/- 1 and Delta2 +/- 1, respectively; P < 0.05). Dynamic chair rotation (15 cycles/min), which mimics dynamic yaw but eliminates neck muscle afferent, increased respiration (Delta3 +/- 1; P < 0.05) comparable to dynamic yaw (15 cycles/min). Increases in respiratory rate were graded as greater responses occurred during upright (Delta5 +/- 2 breaths/min) and lateral pitch (Delta4 +/- 1) and roll (Delta5 +/- 1) performed at 30 cycles/min. Increases in breathing frequency resulted in increases in minute ventilation during most interventions. Static head-down rotation, which activates otolith organs, did not alter respiratory rate (Delta1 +/- 1 breaths/min). Collectively, these data indicate that semicircular canals, but not otolith organs or neck muscle afferents, mediate increased ventilation in humans and support the concept that vestibular activation alters respiration in humans.

a Three-Step Spatial-Temporal Clustering Method for Human Activity Pattern Analysis

Science.gov (United States)

Huang, W.; Li, S.; Xu, S.

2016-06-01

How people move in cities and what they do in various locations at different times form human activity patterns. Human activity pattern plays a key role in in urban planning, traffic forecasting, public health and safety, emergency response, friend recommendation, and so on. Therefore, scholars from different fields, such as social science, geography, transportation, physics and computer science, have made great efforts in modelling and analysing human activity patterns or human mobility patterns. One of the essential tasks in such studies is to find the locations or places where individuals stay to perform some kind of activities before further activity pattern analysis. In the era of Big Data, the emerging of social media along with wearable devices enables human activity data to be collected more easily and efficiently. Furthermore, the dimension of the accessible human activity data has been extended from two to three (space or space-time) to four dimensions (space, time and semantics). More specifically, not only a location and time that people stay and spend are collected, but also what people "say" for in a location at a time can be obtained. The characteristics of these datasets shed new light on the analysis of human mobility, where some of new methodologies should be accordingly developed to handle them. Traditional methods such as neural networks, statistics and clustering have been applied to study human activity patterns using geosocial media data. Among them, clustering methods have been widely used to analyse spatiotemporal patterns. However, to our best knowledge, few of clustering algorithms are specifically developed for handling the datasets that contain spatial, temporal and semantic aspects all together. In this work, we propose a three-step human activity clustering method based on space, time and semantics to fill this gap. One-year Twitter data, posted in Toronto, Canada, is used to test the clustering-based method. The results show that the

Timing of schema activation and memory: Inhibited access to inconsistent information

NARCIS (Netherlands)

Dijksterhuis, A.; Knippenberg, A. van

1995-01-01

In the present experiment, recognition of consistent and inconsistent information was measured as a function of time of schema activation. A schema was either activated before or after encoding, or not at all. Schema activation after encoding reduced recognition of inconsistent information while

EDUCATIONAL NETWORKING: HUMAN VIEW TO CYBER DEFENSE

OpenAIRE

Oleksandr Yu. Burov

2016-01-01

Networks play more and more important role for human life and activity, both in critical occupations (aviation, power industry, military missions etc.), and in everyday life (home computers, education, leisure). Interaction between human and other elements of human-machine system have changed, because they coincide in the information habitat. Human-system integration has reached new level of defense needs. The paper will introduce features of information society in respect of a human and corr...

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

Science.gov (United States)

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

2015-04-21

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

Affinity purification of recombinant human plasminogen activator ...

African Journals Online (AJOL)

Affinity purification of recombinant human plasminogen activator from ... Screening antibody was performed using rhPA milk in an ELISA-elution assay. ... useful for purifying other tPA mutants or other novel recombinant milkderived proteins.

78 FR 5477 - Agency Information Collection Activities: Inter-Agency Alien Witness and Informant Record, Form I...

Science.gov (United States)

2013-01-25

...-0046] Agency Information Collection Activities: Inter-Agency Alien Witness and Informant Record, Form I... collection. (2) Title of the Form/Collection: Inter-Agency Alien Witness and Informant Record. (3) Agency...- 854 is used by law enforcement agencies to bring alien witnesses and informants to the United States...

Public information activities in Argentina

International Nuclear Information System (INIS)

Espejo, Hector

1998-01-01

This is a presentation involving a description of the main guidelines and conditions under which nuclear activities have been performed in Argentina, both concerning the autonomous development for the peaceful use of nuclear energy and with regard to the way in which the community was informed of the attained levels. The particulars of each approach are shown as to delineate historical evolution as a function of the various stages of technological development. (author)

Biologic activities of recombinant human-beta-defensin-4 toward cultured human cancer cells.

Science.gov (United States)

Gerashchenko, O L; Zhuravel, E V; Skachkova, O V; Khranovska, N N; Filonenko, V V; Pogrebnoy, P V; Soldatkina, M A

2013-06-01

The aim of the study was in vitro analysis of biological activity of recombinant human beta-defensin-4 (rec-hBD-4). hBD-4 cDNA was cloned into pGEX-2T vector, and recombinant plasmid was transformed into E. coli BL21(DE3) cells. To purify soluble fusion GST-hBD-4 protein, affinity chromatography was applied. Rec-hBD-4 was cleaved from the fusion protein with thrombin, and purified by reverse phase chromatography on Sep-Pack C18. Effects of rec-hBD-4 on proliferation, viability, cell cycle distribution, substrate-independent growth, and mobility of cultured human cancer cells of A431, A549, and TPC-1 lines were analyzed by direct cell counting technique, MTT assay, flow cytofluorometry, colony forming assay in semi-soft medium, and wound healing assay. Rec-hBD-4 was expressed in bacterial cells as GST-hBD-4 fusion protein, and purified by routine 3-step procedure (affine chromatography on glutathione-agarose, cleavage of fusion protein by thrombin, and reverse phase chromatography). Analysis of in vitro activity of rec-hBD-4 toward three human cancer cell lines has demonstrated that the defensin is capable to affect cell behaviour in concentration-dependent manner. In 1-100 nM concentrations rec-hBD-4 significantly stimulates cancer cell proliferation and viability, and promotes cell cycle progression through G2/M checkpoint, greatly enhances colony-forming activity and mobility of the cells. Treatment of the cells with 500 nM of rec-hBD-4 resulted in opposite effects: significant suppression of cell proliferation and viability, blockage of cell cycle in G1/S checkpoint, significant inhibition of cell migration and colony forming activity. Recombinant human beta-defensin-4 is biologically active peptide capable to cause oppositely directed effects toward biologic features of cancer cells in vitro dependent on its concentration.

40 CFR 26.1303 - Submission of information pertaining to ethical conduct of completed human research.

Science.gov (United States)

2010-07-01

... ethical conduct of completed human research. 26.1303 Section 26.1303 Protection of Environment... on the Ethical Conduct of Completed Human Research § 26.1303 Submission of information pertaining to ethical conduct of completed human research. Any person who submits to EPA data derived from human...

Physical activity and human health

Directory of Open Access Journals (Sweden)

Paulina Wojciechowska

2015-01-01

Full Text Available Introduction: The dynamic development of the automotive industry, transport, and the media means that human life has become much easier. At the same time, the comfortable living conditions have decreased physical activity. Biologically conditioned, the need of activity has been minimised by the ever-increasing pace of life. As a result, it may lead to the loss of physical and mental health. Active recreation is not only an excellent source of activity, but also a source of satisfaction. Youths and adults should therefore spend their free time primarily on various forms of physical activity. Aim of the research : To evaluate the physical fitness of students who regularly practice physical exercise, those who occasionally practice, and those not practicing any form of physical activity. Material and methods : In the research we used a questionnaire of the Ruffier test and an orthostatic test. The study involved a group of 15 people aged 20–25 years. Participation in the study was entirely voluntary and anonymous. The study group consisted only of women. Results obtained from the questionnaire survey were fully reflected during exercise tests performed. Results and conclusions: Only regularly practiced physical activity has an effect on our body. Regular exercise increases our body’s physical capacity. Activity is the best means of prevention of lifestyle diseases. Youths and adults should spend their free time mainly doing various forms of physical activity.

The Human Brain and Information Science: Lessons from Popular Neuroscience

Directory of Open Access Journals (Sweden)